diff --git a/catalog/summaries/Aquatics/Daily_Chlorophyll_a/collection.json b/catalog/summaries/Aquatics/Daily_Chlorophyll_a/collection.json index e142952301..ee37f8277d 100644 --- a/catalog/summaries/Aquatics/Daily_Chlorophyll_a/collection.json +++ b/catalog/summaries/Aquatics/Daily_Chlorophyll_a/collection.json @@ -14,77 +14,77 @@ { "rel": "item", "type": "application/json", - "href": "../../models/model_items/cb_prophet.json" + "href": "../../models/model_items/USGSHABs1.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/procBlanchardSteele.json" + "href": "../../models/model_items/climatology.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/procEppleyNorbergSteele.json" + "href": "../../models/model_items/tg_arima.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_humidity_lm.json" + "href": "../../models/model_items/tg_bag_mlp.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_lasso.json" + "href": "../../models/model_items/tg_precip_lm_all_sites.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_tbats.json" + "href": "../../models/model_items/tg_randfor.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_temp_lm.json" + "href": "../../models/model_items/tg_auto_adam.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_temp_lm_all_sites.json" + "href": "../../models/model_items/cb_prophet.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/persistenceRW.json" + "href": "../../models/model_items/procBlanchardSteele.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/procCTMIMonod.json" + "href": "../../models/model_items/procEppleyNorbergSteele.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/procHinshelwoodMonod.json" + "href": "../../models/model_items/tg_humidity_lm.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/procHinshelwoodSteele.json" + "href": "../../models/model_items/tg_tbats.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_ets.json" + "href": "../../models/model_items/tg_temp_lm.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_humidity_lm_all_sites.json" + "href": "../../models/model_items/tg_temp_lm_all_sites.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_lasso_all_sites.json" + "href": "../../models/model_items/tg_lasso.json" }, { "rel": "item", @@ -109,37 +109,37 @@ { "rel": "item", "type": "application/json", - "href": "../../models/model_items/USGSHABs1.json" + "href": "../../models/model_items/persistenceRW.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/climatology.json" + "href": "../../models/model_items/procCTMIMonod.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_arima.json" + "href": "../../models/model_items/procHinshelwoodMonod.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_bag_mlp.json" + "href": "../../models/model_items/procHinshelwoodSteele.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_precip_lm_all_sites.json" + "href": "../../models/model_items/tg_ets.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_randfor.json" + "href": "../../models/model_items/tg_humidity_lm_all_sites.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_auto_adam.json" + "href": "../../models/model_items/tg_lasso_all_sites.json" }, { "rel": "parent", diff --git a/catalog/summaries/Aquatics/Daily_Dissolved_oxygen/collection.json b/catalog/summaries/Aquatics/Daily_Dissolved_oxygen/collection.json index cefc24811f..f3f0002ca7 100644 --- a/catalog/summaries/Aquatics/Daily_Dissolved_oxygen/collection.json +++ b/catalog/summaries/Aquatics/Daily_Dissolved_oxygen/collection.json @@ -14,62 +14,62 @@ { "rel": "item", "type": "application/json", - "href": "../../models/model_items/cb_f1.json" + "href": "../../models/model_items/tg_precip_lm.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/cb_prophet.json" + "href": "../../models/model_items/null.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_lasso.json" + "href": "../../models/model_items/cb_f1.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_tbats.json" + "href": "../../models/model_items/cb_prophet.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/GLEON_lm_lag_1day.json" + "href": "../../models/model_items/air2waterSat_2.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/air2waterSat_2.json" + "href": "../../models/model_items/tg_tbats.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_temp_lm.json" + "href": "../../models/model_items/tg_humidity_lm.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_temp_lm_all_sites.json" + "href": "../../models/model_items/GLEON_lm_lag_1day.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_humidity_lm.json" + "href": "../../models/model_items/tg_lasso.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/neon4cast_example.json" + "href": "../../models/model_items/tg_temp_lm.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_precip_lm.json" + "href": "../../models/model_items/tg_temp_lm_all_sites.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/null.json" + "href": "../../models/model_items/neon4cast_example.json" }, { "rel": "item", @@ -79,22 +79,22 @@ { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_ets.json" + "href": "../../models/model_items/tg_randfor_all_sites.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_lasso_all_sites.json" + "href": "../../models/model_items/tg_ets.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_randfor_all_sites.json" + "href": "../../models/model_items/tg_humidity_lm_all_sites.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_humidity_lm_all_sites.json" + "href": "../../models/model_items/tg_lasso_all_sites.json" }, { "rel": "item", @@ -111,11 +111,6 @@ "type": "application/json", "href": "../../models/model_items/tg_arima.json" }, - { - "rel": "item", - "type": "application/json", - "href": "../../models/model_items/tg_auto_adam.json" - }, { "rel": "item", "type": "application/json", @@ -141,6 +136,11 @@ "type": "application/json", "href": "../../models/model_items/hotdeck.json" }, + { + "rel": "item", + "type": "application/json", + "href": "../../models/model_items/tg_auto_adam.json" + }, { "rel": "item", "type": "application/json", diff --git a/catalog/summaries/Aquatics/Daily_Water_temperature/collection.json b/catalog/summaries/Aquatics/Daily_Water_temperature/collection.json index 4b58ff08dd..3b2e539516 100644 --- a/catalog/summaries/Aquatics/Daily_Water_temperature/collection.json +++ b/catalog/summaries/Aquatics/Daily_Water_temperature/collection.json @@ -14,337 +14,337 @@ { "rel": "item", "type": "application/json", - "href": "../../models/model_items/GLEON_physics.json" + "href": "../../models/model_items/tg_humidity_lm.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_precip_lm.json" + "href": "../../models/model_items/tg_lasso.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/example_mkricheldorf_w_uncertainty.json" + "href": "../../models/model_items/GLEON_lm_lag_1day.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/example_ID_airtempANDprecipadjusted_wuncertainty.json" + "href": "../../models/model_items/air2waterSat_2.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/lm_AT_WTL_WS.json" + "href": "../../models/model_items/baseline_ensemble.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/example_climatology.json" + "href": "../../models/model_items/cb_f1.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/null.json" + "href": "../../models/model_items/fARIMA.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/flareGOTM.json" + "href": "../../models/model_items/fARIMA_clim_ensemble.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/flareGOTM_noDA.json" + "href": "../../models/model_items/flareGOTM.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/cb_f1.json" + "href": "../../models/model_items/flareGOTM_noDA.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/cb_prophet.json" + "href": "../../models/model_items/tg_tbats.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/fARIMA.json" + "href": "../../models/model_items/tg_temp_lm.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/GLEON_lm_lag_1day.json" + "href": "../../models/model_items/tg_temp_lm_all_sites.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/air2waterSat_2.json" + "href": "../../models/model_items/cb_prophet.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/baseline_ensemble.json" + "href": "../../models/model_items/example_ID.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_temp_lm_all_sites.json" + "href": "../../models/model_items/sujan_ID.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/fARIMA_clim_ensemble.json" + "href": "../../models/model_items/tidymodels_lm.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_humidity_lm.json" + "href": "../../models/model_items/zimmerman_proj1.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_lasso.json" + "href": "../../models/model_items/neon4cast_example.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_tbats.json" + "href": "../../models/model_items/example_BK.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_temp_lm.json" + "href": "../../models/model_items/acp_fableLM.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/example_ID.json" + "href": "../../models/model_items/example_ID_airtempANDprecipadjusted.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/sujan_ID.json" + "href": "../../models/model_items/tg_ets.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/zimmerman_proj1.json" + "href": "../../models/model_items/tg_humidity_lm_all_sites.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/acp_fableLM.json" + "href": "../../models/model_items/tg_lasso_all_sites.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tidymodels_lm.json" + "href": "../../models/model_items/tg_randfor_all_sites.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/example_BK.json" + "href": "../../models/model_items/flareGLM.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/neon4cast_example.json" + "href": "../../models/model_items/flareGLM_noDA.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/example_ID_airtempANDprecipadjusted.json" + "href": "../../models/model_items/flareSimstrat_noDA.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/fTSLM_lag.json" + "href": "../../models/model_items/persistenceRW.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/flareSimstrat.json" + "href": "../../models/model_items/example_ACP_sp24.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/flare_ler.json" + "href": "../../models/model_items/tidymodels_ML.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/flare_ler_baselines.json" + "href": "../../models/model_items/TSLM_seasonal_JM.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_arima.json" + "href": "../../models/model_items/new_example_ID.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/climatology.json" + "href": "../../models/model_items/MALM.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/GLEON_JRabaey_temp_physics.json" + "href": "../../models/model_items/example_ID_VickeryFirstForecast_wUC.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_bag_mlp.json" + "href": "../../models/model_items/precip_mod.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_precip_lm_all_sites.json" + "href": "../../models/model_items/tg_precip_lm.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_randfor.json" + "href": "../../models/model_items/example_mkricheldorf_w_uncertainty.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/example_BKandel.json" + "href": "../../models/model_items/example_ID_airtempANDprecipadjusted_wuncertainty.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/example_faasr.json" + "href": "../../models/model_items/lm_AT_WTL_WS.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/GAM_air_wind.json" + "href": "../../models/model_items/GLEON_physics.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/Sujan_forecast.json" + "href": "../../models/model_items/null.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/bee_bake_RFModel_2024.json" + "href": "../../models/model_items/example_climatology.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/hotdeck.json" + "href": "../../models/model_items/tg_arima.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/mlp1_wtempforecast_LF.json" + "href": "../../models/model_items/tg_bag_mlp.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/mkricheldorf_w_lag.json" + "href": "../../models/model_items/GLEON_JRabaey_temp_physics.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_auto_adam.json" + "href": "../../models/model_items/climatology.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/mkricheldorf_example.json" + "href": "../../models/model_items/fTSLM_lag.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/MAL_model_unc.json" + "href": "../../models/model_items/tg_precip_lm_all_sites.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/example_ID_VickeryFirstForecast.json" + "href": "../../models/model_items/tg_randfor.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/example_RW.json" + "href": "../../models/model_items/flareSimstrat.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/flareGLM.json" + "href": "../../models/model_items/flare_ler.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/flareGLM_noDA.json" + "href": "../../models/model_items/flare_ler_baselines.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/flareSimstrat_noDA.json" + "href": "../../models/model_items/example_BKandel.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/persistenceRW.json" + "href": "../../models/model_items/hotdeck.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_ets.json" + "href": "../../models/model_items/Sujan_forecast.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_humidity_lm_all_sites.json" + "href": "../../models/model_items/bee_bake_RFModel_2024.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_lasso_all_sites.json" + "href": "../../models/model_items/mlp1_wtempforecast_LF.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_randfor_all_sites.json" + "href": "../../models/model_items/GAM_air_wind.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/example_ID_VickeryFirstForecast_wUC.json" + "href": "../../models/model_items/mkricheldorf_w_lag.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/example_ACP_sp24.json" + "href": "../../models/model_items/example_faasr.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/TSLM_seasonal_JM.json" + "href": "../../models/model_items/tg_auto_adam.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/new_example_ID.json" + "href": "../../models/model_items/example_ID_VickeryFirstForecast.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/MALM.json" + "href": "../../models/model_items/example_RW.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/precip_mod.json" + "href": "../../models/model_items/mkricheldorf_example.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tidymodels_ML.json" + "href": "../../models/model_items/MAL_model_unc.json" }, { "rel": "parent", diff --git a/catalog/summaries/Beetles/Weekly_beetle_community_abundance/collection.json b/catalog/summaries/Beetles/Weekly_beetle_community_abundance/collection.json index 3960035a0d..926c90cd5d 100644 --- a/catalog/summaries/Beetles/Weekly_beetle_community_abundance/collection.json +++ b/catalog/summaries/Beetles/Weekly_beetle_community_abundance/collection.json @@ -14,117 +14,117 @@ { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_arima.json" + "href": "../../models/model_items/tg_humidity_lm.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_randfor.json" + "href": "../../models/model_items/tg_lasso.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_precip_lm_all_sites.json" + "href": "../../models/model_items/tg_tbats.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_auto_adam.json" + "href": "../../models/model_items/tg_temp_lm_all_sites.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/bet_lm_precip_clim_ensemble.json" + "href": "../../models/model_items/tg_temp_lm.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/bet_example_mod_naive.json" + "href": "../../models/model_items/mean.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/bet_example_mod_null.json" + "href": "../../models/model_items/bet_lm_temp_clim_ensemble.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_ets.json" + "href": "../../models/model_items/bet_lm_temp_precip_clim_ensemble.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_humidity_lm_all_sites.json" + "href": "../../models/model_items/bet_example_lm_temp2m_CMCC_CM2_VHR4.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_lasso_all_sites.json" + "href": "../../models/model_items/bet_abund_example_tslm_temp.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_randfor_all_sites.json" + "href": "../../models/model_items/tg_ets.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/bet_lm_temp2m_mod_temp.json" + "href": "../../models/model_items/tg_lasso_all_sites.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_precip_lm.json" + "href": "../../models/model_items/bet_lm_temp2m_mod_temp.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/mean.json" + "href": "../../models/model_items/tg_randfor_all_sites.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_lasso.json" + "href": "../../models/model_items/tg_humidity_lm_all_sites.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_tbats.json" + "href": "../../models/model_items/tg_randfor.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_temp_lm.json" + "href": "../../models/model_items/tg_arima.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_humidity_lm.json" + "href": "../../models/model_items/tg_precip_lm_all_sites.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_temp_lm_all_sites.json" + "href": "../../models/model_items/bet_example_mod_naive.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/bet_lm_temp_clim_ensemble.json" + "href": "../../models/model_items/bet_example_mod_null.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/bet_lm_temp_precip_clim_ensemble.json" + "href": "../../models/model_items/bet_lm_precip_clim_ensemble.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/bet_abund_example_tslm_temp.json" + "href": "../../models/model_items/tg_auto_adam.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/bet_example_lm_temp2m_CMCC_CM2_VHR4.json" + "href": "../../models/model_items/tg_precip_lm.json" }, { "rel": "parent", diff --git a/catalog/summaries/Beetles/Weekly_beetle_community_richness/collection.json b/catalog/summaries/Beetles/Weekly_beetle_community_richness/collection.json index c330c7dac5..c2e0e0c8e8 100644 --- a/catalog/summaries/Beetles/Weekly_beetle_community_richness/collection.json +++ b/catalog/summaries/Beetles/Weekly_beetle_community_richness/collection.json @@ -14,77 +14,77 @@ { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_arima.json" + "href": "../../models/model_items/tg_lasso.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_randfor.json" + "href": "../../models/model_items/tg_tbats.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_precip_lm_all_sites.json" + "href": "../../models/model_items/tg_humidity_lm.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_auto_adam.json" + "href": "../../models/model_items/tg_temp_lm.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_precip_lm.json" + "href": "../../models/model_items/tg_temp_lm_all_sites.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_ets.json" + "href": "../../models/model_items/mean.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_humidity_lm_all_sites.json" + "href": "../../models/model_items/tg_ets.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_lasso_all_sites.json" + "href": "../../models/model_items/tg_humidity_lm_all_sites.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_randfor_all_sites.json" + "href": "../../models/model_items/tg_lasso_all_sites.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/mean.json" + "href": "../../models/model_items/tg_randfor_all_sites.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_tbats.json" + "href": "../../models/model_items/tg_precip_lm.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_temp_lm_all_sites.json" + "href": "../../models/model_items/tg_precip_lm_all_sites.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_humidity_lm.json" + "href": "../../models/model_items/tg_randfor.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_lasso.json" + "href": "../../models/model_items/tg_arima.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_temp_lm.json" + "href": "../../models/model_items/tg_auto_adam.json" }, { "rel": "parent", diff --git a/catalog/summaries/Phenology/Daily_Green_chromatic_coordinate/collection.json b/catalog/summaries/Phenology/Daily_Green_chromatic_coordinate/collection.json index e91baf633f..4de2bf084a 100644 --- a/catalog/summaries/Phenology/Daily_Green_chromatic_coordinate/collection.json +++ b/catalog/summaries/Phenology/Daily_Green_chromatic_coordinate/collection.json @@ -14,17 +14,17 @@ { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_arima.json" + "href": "../../models/model_items/tg_precip_lm.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_bag_mlp.json" + "href": "../../models/model_items/climatology.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/climatology.json" + "href": "../../models/model_items/tg_arima.json" }, { "rel": "item", @@ -39,67 +39,67 @@ { "rel": "item", "type": "application/json", - "href": "../../models/model_items/PEG.json" + "href": "../../models/model_items/tg_bag_mlp.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_auto_adam.json" + "href": "../../models/model_items/PEG.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_precip_lm.json" + "href": "../../models/model_items/tg_auto_adam.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_humidity_lm.json" + "href": "../../models/model_items/persistenceRW.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_temp_lm.json" + "href": "../../models/model_items/tg_humidity_lm_all_sites.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_temp_lm_all_sites.json" + "href": "../../models/model_items/tg_lasso_all_sites.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/cb_prophet.json" + "href": "../../models/model_items/tg_ets.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_tbats.json" + "href": "../../models/model_items/cb_prophet.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_lasso.json" + "href": "../../models/model_items/tg_humidity_lm.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_ets.json" + "href": "../../models/model_items/tg_lasso.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/persistenceRW.json" + "href": "../../models/model_items/tg_tbats.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_humidity_lm_all_sites.json" + "href": "../../models/model_items/tg_temp_lm.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_lasso_all_sites.json" + "href": "../../models/model_items/tg_temp_lm_all_sites.json" }, { "rel": "parent", diff --git a/catalog/summaries/Phenology/Daily_Red_chromatic_coordinate/collection.json b/catalog/summaries/Phenology/Daily_Red_chromatic_coordinate/collection.json index 9a02277a53..42fa9ec6d2 100644 --- a/catalog/summaries/Phenology/Daily_Red_chromatic_coordinate/collection.json +++ b/catalog/summaries/Phenology/Daily_Red_chromatic_coordinate/collection.json @@ -14,77 +14,77 @@ { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_lasso.json" + "href": "../../models/model_items/tg_precip_lm.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/baseline_ensemble.json" + "href": "../../models/model_items/tg_ets.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/cb_prophet.json" + "href": "../../models/model_items/persistenceRW.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_humidity_lm.json" + "href": "../../models/model_items/tg_randfor_all_sites.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_temp_lm.json" + "href": "../../models/model_items/tg_lasso_all_sites.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_temp_lm_all_sites.json" + "href": "../../models/model_items/tg_humidity_lm_all_sites.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_tbats.json" + "href": "../../models/model_items/baseline_ensemble.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_precip_lm.json" + "href": "../../models/model_items/tg_tbats.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_lasso_all_sites.json" + "href": "../../models/model_items/tg_temp_lm.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_randfor_all_sites.json" + "href": "../../models/model_items/tg_temp_lm_all_sites.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/persistenceRW.json" + "href": "../../models/model_items/tg_lasso.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_humidity_lm_all_sites.json" + "href": "../../models/model_items/tg_humidity_lm.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_ets.json" + "href": "../../models/model_items/cb_prophet.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_precip_lm_all_sites.json" + "href": "../../models/model_items/tg_arima.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_randfor.json" + "href": "../../models/model_items/tg_bag_mlp.json" }, { "rel": "item", @@ -94,27 +94,27 @@ { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_arima.json" + "href": "../../models/model_items/tg_precip_lm_all_sites.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/climatology.json" + "href": "../../models/model_items/tg_randfor.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_bag_mlp.json" + "href": "../../models/model_items/tg_auto_adam.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/PEG.json" + "href": "../../models/model_items/climatology.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_auto_adam.json" + "href": "../../models/model_items/PEG.json" }, { "rel": "parent", diff --git a/catalog/summaries/Terrestrial/30min_Net_ecosystem_exchange/collection.json b/catalog/summaries/Terrestrial/30min_Net_ecosystem_exchange/collection.json index d6a01b1fdc..e7662c1ad6 100644 --- a/catalog/summaries/Terrestrial/30min_Net_ecosystem_exchange/collection.json +++ b/catalog/summaries/Terrestrial/30min_Net_ecosystem_exchange/collection.json @@ -14,82 +14,82 @@ { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_bag_mlp.json" + "href": "../../models/model_items/tg_precip_lm.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_arima.json" + "href": "../../models/model_items/bookcast_forest.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_auto_adam.json" + "href": "../../models/model_items/tg_tbats.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/climatology.json" + "href": "../../models/model_items/tg_temp_lm.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_precip_lm_all_sites.json" + "href": "../../models/model_items/tg_temp_lm_all_sites.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_randfor.json" + "href": "../../models/model_items/cb_prophet.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_precip_lm.json" + "href": "../../models/model_items/lasso.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/bookcast_forest.json" + "href": "../../models/model_items/tg_humidity_lm.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_tbats.json" + "href": "../../models/model_items/climatology.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_temp_lm.json" + "href": "../../models/model_items/tg_arima.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_temp_lm_all_sites.json" + "href": "../../models/model_items/tg_bag_mlp.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/cb_prophet.json" + "href": "../../models/model_items/tg_auto_adam.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/lasso.json" + "href": "../../models/model_items/tg_precip_lm_all_sites.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_humidity_lm.json" + "href": "../../models/model_items/tg_randfor.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_ets.json" + "href": "../../models/model_items/persistenceRW.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/persistenceRW.json" + "href": "../../models/model_items/tg_ets.json" }, { "rel": "item", diff --git a/catalog/summaries/Terrestrial/30min_latent_heat_flux/collection.json b/catalog/summaries/Terrestrial/30min_latent_heat_flux/collection.json index 0e76a5bd83..7e7590a2f4 100644 --- a/catalog/summaries/Terrestrial/30min_latent_heat_flux/collection.json +++ b/catalog/summaries/Terrestrial/30min_latent_heat_flux/collection.json @@ -14,22 +14,22 @@ { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_tbats.json" + "href": "../../models/model_items/tg_humidity_lm.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_temp_lm.json" + "href": "../../models/model_items/tg_tbats.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_temp_lm_all_sites.json" + "href": "../../models/model_items/tg_temp_lm.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_humidity_lm.json" + "href": "../../models/model_items/tg_temp_lm_all_sites.json" }, { "rel": "item", @@ -44,22 +44,22 @@ { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_ets.json" + "href": "../../models/model_items/tg_precip_lm.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_humidity_lm_all_sites.json" + "href": "../../models/model_items/tg_ets.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_precip_lm.json" + "href": "../../models/model_items/tg_humidity_lm_all_sites.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_precip_lm_all_sites.json" + "href": "../../models/model_items/tg_arima.json" }, { "rel": "item", @@ -74,17 +74,17 @@ { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_arima.json" + "href": "../../models/model_items/climatology.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_randfor.json" + "href": "../../models/model_items/tg_precip_lm_all_sites.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/climatology.json" + "href": "../../models/model_items/tg_randfor.json" }, { "rel": "item", diff --git a/catalog/summaries/Terrestrial/Daily_Net_ecosystem_exchange/collection.json b/catalog/summaries/Terrestrial/Daily_Net_ecosystem_exchange/collection.json index 71ed7a3579..8006996264 100644 --- a/catalog/summaries/Terrestrial/Daily_Net_ecosystem_exchange/collection.json +++ b/catalog/summaries/Terrestrial/Daily_Net_ecosystem_exchange/collection.json @@ -14,92 +14,92 @@ { "rel": "item", "type": "application/json", - "href": "../../models/model_items/cb_prophet.json" + "href": "../../models/model_items/tg_precip_lm.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/lasso.json" + "href": "../../models/model_items/bookcast_forest.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_humidity_lm.json" + "href": "../../models/model_items/tg_arima.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_temp_lm.json" + "href": "../../models/model_items/climatology.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_temp_lm_all_sites.json" + "href": "../../models/model_items/tg_precip_lm_all_sites.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_tbats.json" + "href": "../../models/model_items/tg_randfor.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/persistenceRW.json" + "href": "../../models/model_items/tg_auto_adam.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_ets.json" + "href": "../../models/model_items/tg_bag_mlp.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_humidity_lm_all_sites.json" + "href": "../../models/model_items/persistenceRW.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/USUNEEDAILY.json" + "href": "../../models/model_items/tg_ets.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/climatology.json" + "href": "../../models/model_items/tg_humidity_lm_all_sites.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_arima.json" + "href": "../../models/model_items/USUNEEDAILY.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_bag_mlp.json" + "href": "../../models/model_items/cb_prophet.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_auto_adam.json" + "href": "../../models/model_items/lasso.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_precip_lm_all_sites.json" + "href": "../../models/model_items/tg_humidity_lm.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_randfor.json" + "href": "../../models/model_items/tg_tbats.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_precip_lm.json" + "href": "../../models/model_items/tg_temp_lm.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/bookcast_forest.json" + "href": "../../models/model_items/tg_temp_lm_all_sites.json" }, { "rel": "parent", diff --git a/catalog/summaries/Terrestrial/Daily_latent_heat_flux/collection.json b/catalog/summaries/Terrestrial/Daily_latent_heat_flux/collection.json index c61e34f7e3..93d0f70253 100644 --- a/catalog/summaries/Terrestrial/Daily_latent_heat_flux/collection.json +++ b/catalog/summaries/Terrestrial/Daily_latent_heat_flux/collection.json @@ -19,67 +19,67 @@ { "rel": "item", "type": "application/json", - "href": "../../models/model_items/climatology.json" + "href": "../../models/model_items/tg_tbats.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/randfor.json" + "href": "../../models/model_items/tg_temp_lm.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_arima.json" + "href": "../../models/model_items/tg_temp_lm_all_sites.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_auto_adam.json" + "href": "../../models/model_items/tg_humidity_lm.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_bag_mlp.json" + "href": "../../models/model_items/lasso.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_precip_lm_all_sites.json" + "href": "../../models/model_items/cb_prophet.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_randfor.json" + "href": "../../models/model_items/tg_precip_lm_all_sites.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_tbats.json" + "href": "../../models/model_items/climatology.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_temp_lm.json" + "href": "../../models/model_items/tg_arima.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_temp_lm_all_sites.json" + "href": "../../models/model_items/tg_auto_adam.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/cb_prophet.json" + "href": "../../models/model_items/tg_bag_mlp.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/lasso.json" + "href": "../../models/model_items/tg_randfor.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_humidity_lm.json" + "href": "../../models/model_items/randfor.json" }, { "rel": "item", diff --git a/catalog/summaries/Ticks/Weekly_Amblyomma_americanum_population/collection.json b/catalog/summaries/Ticks/Weekly_Amblyomma_americanum_population/collection.json index fb53a06aff..1c6d0c7be4 100644 --- a/catalog/summaries/Ticks/Weekly_Amblyomma_americanum_population/collection.json +++ b/catalog/summaries/Ticks/Weekly_Amblyomma_americanum_population/collection.json @@ -19,67 +19,67 @@ { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_arima.json" + "href": "../../models/model_items/tg_ets.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_precip_lm_all_sites.json" + "href": "../../models/model_items/tg_humidity_lm_all_sites.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_randfor.json" + "href": "../../models/model_items/tg_lasso_all_sites.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_auto_adam.json" + "href": "../../models/model_items/tg_randfor_all_sites.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_ets.json" + "href": "../../models/model_items/tg_humidity_lm.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_humidity_lm_all_sites.json" + "href": "../../models/model_items/tg_lasso.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_lasso_all_sites.json" + "href": "../../models/model_items/tg_tbats.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_randfor_all_sites.json" + "href": "../../models/model_items/tg_temp_lm.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_humidity_lm.json" + "href": "../../models/model_items/tg_temp_lm_all_sites.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_lasso.json" + "href": "../../models/model_items/tg_arima.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_tbats.json" + "href": "../../models/model_items/tg_precip_lm_all_sites.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_temp_lm.json" + "href": "../../models/model_items/tg_randfor.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_temp_lm_all_sites.json" + "href": "../../models/model_items/tg_auto_adam.json" }, { "rel": "parent", diff --git a/catalog/summaries/models/collection.json b/catalog/summaries/models/collection.json index 5f191769df..91125fe4c6 100644 --- a/catalog/summaries/models/collection.json +++ b/catalog/summaries/models/collection.json @@ -14,377 +14,377 @@ { "rel": "item", "type": "application/json", - "href": "model_items/tg_tbats.json" + "href": "model_items/tg_precip_lm.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/tg_humidity_lm.json" + "href": "model_items/GLEON_physics.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/tg_temp_lm.json" + "href": "model_items/procBlanchardMonod.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/tg_temp_lm_all_sites.json" + "href": "model_items/procCTMISteele.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/cb_prophet.json" + "href": "model_items/procEppleyNorbergMonod.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/cb_f1.json" + "href": "model_items/null.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/baseline_ensemble.json" + "href": "model_items/bookcast_forest.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/lasso.json" + "href": "model_items/example_mkricheldorf_w_uncertainty.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/tg_lasso.json" + "href": "model_items/example_ID_airtempANDprecipadjusted_wuncertainty.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/procBlanchardSteele.json" + "href": "model_items/lm_AT_WTL_WS.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/procEppleyNorbergSteele.json" + "href": "model_items/example_climatology.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/mean.json" + "href": "model_items/climatology.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/GLEON_lm_lag_1day.json" + "href": "model_items/tg_arima.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/air2waterSat_2.json" + "href": "model_items/tg_bag_mlp.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/flareGOTM.json" + "href": "model_items/tg_precip_lm_all_sites.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/flareGOTM_noDA.json" + "href": "model_items/tg_randfor.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/fARIMA_clim_ensemble.json" + "href": "model_items/tg_auto_adam.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/neon4cast_example.json" + "href": "model_items/prophet_clim_ensemble.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/fARIMA.json" + "href": "model_items/flareSimstrat.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/example_ID.json" + "href": "model_items/flare_ler.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/example_BK.json" + "href": "model_items/flare_ler_baselines.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/example_ID_airtempANDprecipadjusted.json" + "href": "model_items/fTSLM_lag.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/sujan_ID.json" + "href": "model_items/randfor.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/bet_lm_temp_clim_ensemble.json" + "href": "model_items/GLEON_JRabaey_temp_physics.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/zimmerman_proj1.json" + "href": "model_items/USGSHABs1.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/tidymodels_lm.json" + "href": "model_items/example_faasr.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/bet_example_lm_temp2m_CMCC_CM2_VHR4.json" + "href": "model_items/example_WP_SP24_Uncertainty.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/bet_lm_temp_precip_clim_ensemble.json" + "href": "model_items/MAL_model_unc.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/bet_abund_example_tslm_temp.json" + "href": "model_items/mlp1_wtempforecast_LF.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/acp_fableLM.json" + "href": "model_items/hotdeck.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/tg_arima.json" + "href": "model_items/GAM_air_wind.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/tg_auto_adam.json" + "href": "model_items/Sujan_forecast.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/tg_bag_mlp.json" + "href": "model_items/bee_bake_RFModel_2024.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/tg_precip_lm_all_sites.json" + "href": "model_items/mkricheldorf_w_lag.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/tg_randfor.json" + "href": "model_items/example_BKandel.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/climatology.json" + "href": "model_items/bet_example_mod_naive.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/USGSHABs1.json" + "href": "model_items/bet_example_mod_null.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/randfor.json" + "href": "model_items/bet_lm_precip_clim_ensemble.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/GLEON_JRabaey_temp_physics.json" + "href": "model_items/PEG.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/prophet_clim_ensemble.json" + "href": "model_items/example_ID_VickeryFirstForecast.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/fTSLM_lag.json" + "href": "model_items/example_RW.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/flareSimstrat.json" + "href": "model_items/mkricheldorf_example.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/flare_ler.json" + "href": "model_items/tg_tbats.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/flare_ler_baselines.json" + "href": "model_items/tg_temp_lm.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/PEG.json" + "href": "model_items/tg_temp_lm_all_sites.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/example_BKandel.json" + "href": "model_items/cb_prophet.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/mkricheldorf_example.json" + "href": "model_items/lasso.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/example_WP_SP24_Uncertainty.json" + "href": "model_items/tg_humidity_lm.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/bet_lm_precip_clim_ensemble.json" + "href": "model_items/tg_lasso.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/MAL_model_unc.json" + "href": "model_items/baseline_ensemble.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/GAM_air_wind.json" + "href": "model_items/air2waterSat_2.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/Sujan_forecast.json" + "href": "model_items/cb_f1.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/bee_bake_RFModel_2024.json" + "href": "model_items/mean.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/mlp1_wtempforecast_LF.json" + "href": "model_items/flareGOTM_noDA.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/hotdeck.json" + "href": "model_items/fARIMA.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/mkricheldorf_w_lag.json" + "href": "model_items/fARIMA_clim_ensemble.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/bet_example_mod_naive.json" + "href": "model_items/procEppleyNorbergSteele.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/bet_example_mod_null.json" + "href": "model_items/GLEON_lm_lag_1day.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/example_ID_VickeryFirstForecast.json" + "href": "model_items/flareGOTM.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/example_RW.json" + "href": "model_items/neon4cast_example.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/example_faasr.json" + "href": "model_items/procBlanchardSteele.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/tg_precip_lm.json" + "href": "model_items/example_ID.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/procBlanchardMonod.json" + "href": "model_items/example_BK.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/procCTMISteele.json" + "href": "model_items/sujan_ID.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/procEppleyNorbergMonod.json" + "href": "model_items/bet_lm_temp_clim_ensemble.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/null.json" + "href": "model_items/bet_lm_temp_precip_clim_ensemble.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/GLEON_physics.json" + "href": "model_items/zimmerman_proj1.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/bookcast_forest.json" + "href": "model_items/bet_abund_example_tslm_temp.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/example_climatology.json" + "href": "model_items/acp_fableLM.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/example_ID_airtempANDprecipadjusted_wuncertainty.json" + "href": "model_items/tidymodels_lm.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/example_mkricheldorf_w_uncertainty.json" + "href": "model_items/bet_example_lm_temp2m_CMCC_CM2_VHR4.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/lm_AT_WTL_WS.json" + "href": "model_items/example_ID_airtempANDprecipadjusted.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/tg_ets.json" + "href": "model_items/persistenceRW.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/tg_humidity_lm_all_sites.json" + "href": "model_items/tg_ets.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/persistenceRW.json" + "href": "model_items/tg_humidity_lm_all_sites.json" }, { "rel": "item", @@ -394,12 +394,12 @@ { "rel": "item", "type": "application/json", - "href": "model_items/tg_randfor_all_sites.json" + "href": "model_items/flareSimstrat_noDA.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/procCTMIMonod.json" + "href": "model_items/tg_randfor_all_sites.json" }, { "rel": "item", @@ -424,57 +424,57 @@ { "rel": "item", "type": "application/json", - "href": "model_items/flareSimstrat_noDA.json" + "href": "model_items/precip_mod.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/USUNEEDAILY.json" + "href": "model_items/procCTMIMonod.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/new_example_ID.json" + "href": "model_items/example_WP_SP24.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/example_ACP_sp24.json" + "href": "model_items/example_ID_VickeryFirstForecast_wUC.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/TSLM_seasonal_JM.json" + "href": "model_items/bet_lm_temp2m_mod_temp.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/precip_mod.json" + "href": "model_items/TSLM_seasonal_JM.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/example_WP_SP24.json" + "href": "model_items/USUNEEDAILY.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/MALM.json" + "href": "model_items/new_example_ID.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/example_ID_VickeryFirstForecast_wUC.json" + "href": "model_items/example_ACP_sp24.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/bet_lm_temp2m_mod_temp.json" + "href": "model_items/tidymodels_ML.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/tidymodels_ML.json" + "href": "model_items/MALM.json" }, { "rel": "parent", diff --git a/catalog/summaries/models/model_items/GAM_air_wind.json b/catalog/summaries/models/model_items/GAM_air_wind.json index 00fb776835..dc3898250c 100644 --- a/catalog/summaries/models/model_items/GAM_air_wind.json +++ b/catalog/summaries/models/model_items/GAM_air_wind.json @@ -16,17 +16,17 @@ "geometry": { "type": "MultiPoint", "coordinates": [ + [-89.4737, 46.2097], [-82.0084, 29.676], [-82.0177, 29.6878], [-149.6106, 68.6307], - [-89.4737, 46.2097], [-89.7048, 45.9983], [-99.1139, 47.1591], [-99.2531, 47.1298] ] }, "properties": { - "description": "\nmodel info: I used a GAM (mgcv) with a linear relationship to air temperature and smoothing for eastward and northward winds.\n\nSites: BARC, SUGG, TOOK, CRAM, LIRO, PRLA, PRPO\n\nVariables: Daily Water_temperature", + "description": "\nmodel info: I used a GAM (mgcv) with a linear relationship to air temperature and smoothing for eastward and northward winds.\n\nSites: CRAM, BARC, SUGG, TOOK, LIRO, PRLA, PRPO\n\nVariables: Daily Water_temperature", "start_datetime": "2024-03-01", "end_datetime": "2024-05-15", "providers": [ diff --git a/catalog/summaries/models/model_items/GLEON_JRabaey_temp_physics.json b/catalog/summaries/models/model_items/GLEON_JRabaey_temp_physics.json index 69aca08556..58520cba45 100644 --- a/catalog/summaries/models/model_items/GLEON_JRabaey_temp_physics.json +++ b/catalog/summaries/models/model_items/GLEON_JRabaey_temp_physics.json @@ -16,6 +16,14 @@ "geometry": { "type": "MultiPoint", "coordinates": [ + [-87.7982, 32.5415], + [-66.9868, 18.1135], + [-84.4374, 31.1854], + [-72.3295, 42.4719], + [-96.6038, 39.1051], + [-87.4077, 32.9604], + [-122.1655, 44.2596], + [-78.1473, 38.8943], [-102.4471, 39.7582], [-82.0084, 29.676], [-147.504, 65.1532], @@ -27,14 +35,13 @@ [-97.7823, 33.3785], [-82.0177, 29.6878], [-149.6106, 68.6307], - [-87.7982, 32.5415], - [-66.9868, 18.1135], - [-84.4374, 31.1854], - [-72.3295, 42.4719], - [-96.6038, 39.1051], - [-87.4077, 32.9604], - [-122.1655, 44.2596], - [-78.1473, 38.8943], + [-119.2575, 37.0597], + [-110.5871, 44.9501], + [-96.6242, 34.4442], + [-89.4737, 46.2097], + [-83.5038, 35.6904], + [-111.5081, 33.751], + [-84.2793, 35.9574], [-105.9154, 39.8914], [-89.7048, 45.9983], [-121.9338, 45.7908], @@ -42,18 +49,11 @@ [-99.2531, 47.1298], [-111.7979, 40.7839], [-119.0274, 36.9559], - [-88.1589, 31.8534], - [-119.2575, 37.0597], - [-110.5871, 44.9501], - [-96.6242, 34.4442], - [-89.4737, 46.2097], - [-83.5038, 35.6904], - [-111.5081, 33.751], - [-84.2793, 35.9574] + [-88.1589, 31.8534] ] }, "properties": { - "description": "\nmodel info: NA\n\nSites: ARIK, BARC, CARI, COMO, GUIL, LEWI, MCDI, OKSR, PRIN, SUGG, TOOK, BLWA, CUPE, FLNT, HOPB, KING, MAYF, MCRA, POSE, WLOU, LIRO, MART, PRLA, PRPO, REDB, TECR, TOMB, BIGC, BLDE, BLUE, CRAM, LECO, SYCA, WALK\n\nVariables: Daily Water_temperature", + "description": "\nmodel info: NA\n\nSites: BLWA, CUPE, FLNT, HOPB, KING, MAYF, MCRA, POSE, ARIK, BARC, CARI, COMO, GUIL, LEWI, MCDI, OKSR, PRIN, SUGG, TOOK, BIGC, BLDE, BLUE, CRAM, LECO, SYCA, WALK, WLOU, LIRO, MART, PRLA, PRPO, REDB, TECR, TOMB\n\nVariables: Daily Water_temperature", "start_datetime": "2023-11-14", "end_datetime": "2024-03-12", "providers": [ diff --git a/catalog/summaries/models/model_items/GLEON_lm_lag_1day.json b/catalog/summaries/models/model_items/GLEON_lm_lag_1day.json index 362196cecf..3879ad8d0c 100644 --- a/catalog/summaries/models/model_items/GLEON_lm_lag_1day.json +++ b/catalog/summaries/models/model_items/GLEON_lm_lag_1day.json @@ -16,17 +16,17 @@ "geometry": { "type": "MultiPoint", "coordinates": [ - [-89.4737, 46.2097], [-82.0084, 29.676], [-82.0177, 29.6878], [-149.6106, 68.6307], + [-89.4737, 46.2097], [-89.7048, 45.9983], [-99.1139, 47.1591], [-99.2531, 47.1298] ] }, "properties": { - "description": "\nmodel info: NA\n\nSites: CRAM, BARC, SUGG, TOOK, LIRO, PRLA, PRPO\n\nVariables: Daily Dissolved_oxygen, Daily Water_temperature", + "description": "\nmodel info: NA\n\nSites: BARC, SUGG, TOOK, CRAM, LIRO, PRLA, PRPO\n\nVariables: Daily Dissolved_oxygen, Daily Water_temperature", "start_datetime": "2023-11-14", "end_datetime": "2024-02-02", "providers": [ diff --git a/catalog/summaries/models/model_items/GLEON_physics.json b/catalog/summaries/models/model_items/GLEON_physics.json index becc105959..fc683bf0e9 100644 --- a/catalog/summaries/models/model_items/GLEON_physics.json +++ b/catalog/summaries/models/model_items/GLEON_physics.json @@ -16,16 +16,16 @@ "geometry": { "type": "MultiPoint", "coordinates": [ - [-82.0084, 29.676], - [-82.0177, 29.6878], - [-89.4737, 46.2097], [-89.7048, 45.9983], [-99.1139, 47.1591], - [-99.2531, 47.1298] + [-99.2531, 47.1298], + [-89.4737, 46.2097], + [-82.0084, 29.676], + [-82.0177, 29.6878] ] }, "properties": { - "description": "\nmodel info: NA\n\nSites: BARC, SUGG, CRAM, LIRO, PRLA, PRPO\n\nVariables: Daily Water_temperature", + "description": "\nmodel info: NA\n\nSites: LIRO, PRLA, PRPO, CRAM, BARC, SUGG\n\nVariables: Daily Water_temperature", "start_datetime": "2023-11-14", "end_datetime": "2023-12-22", "providers": [ diff --git a/catalog/summaries/models/model_items/MALM.json b/catalog/summaries/models/model_items/MALM.json index 63be5fd3d4..8670a797db 100644 --- a/catalog/summaries/models/model_items/MALM.json +++ b/catalog/summaries/models/model_items/MALM.json @@ -16,10 +16,10 @@ "geometry": { "type": "MultiPoint", "coordinates": [ + [-89.4737, 46.2097], [-82.0084, 29.676], [-82.0177, 29.6878], [-149.6106, 68.6307], - [-89.4737, 46.2097], [-89.7048, 45.9983], [-99.1139, 47.1591], [-99.2531, 47.1298] diff --git a/catalog/summaries/models/model_items/PEG.json b/catalog/summaries/models/model_items/PEG.json index 7cf52b7fc9..075855797b 100644 --- a/catalog/summaries/models/model_items/PEG.json +++ b/catalog/summaries/models/model_items/PEG.json @@ -26,20 +26,6 @@ [-76.56, 38.8901], [-119.7323, 37.1088], [-99.2413, 47.1282], - [-156.6194, 71.2824], - [-71.2874, 44.0639], - [-104.7456, 40.8155], - [-87.8039, 32.5417], - [-149.2133, 63.8758], - [-84.4686, 31.1948], - [-96.6129, 39.1104], - [-112.4524, 40.1776], - [-81.9934, 29.6893], - [-105.546, 40.2759], - [-110.8355, 31.9107], - [-87.3933, 32.9505], - [-149.3705, 68.6611], - [-89.5373, 46.2339], [-147.5026, 65.154], [-97.57, 33.4012], [-99.1066, 47.1617], @@ -62,11 +48,25 @@ [-119.2622, 37.0334], [-119.006, 37.0058], [-89.5857, 45.4937], - [-121.9519, 45.8205] + [-121.9519, 45.8205], + [-156.6194, 71.2824], + [-71.2874, 44.0639], + [-104.7456, 40.8155], + [-87.8039, 32.5417], + [-149.2133, 63.8758], + [-84.4686, 31.1948], + [-96.6129, 39.1104], + [-112.4524, 40.1776], + [-81.9934, 29.6893], + [-105.546, 40.2759], + [-110.8355, 31.9107], + [-87.3933, 32.9505], + [-149.3705, 68.6611], + [-89.5373, 46.2339] ] }, "properties": { - "description": "\nmodel info: NA\n\nSites: BLAN, DSNY, GUAN, HARV, LAJA, MOAB, PUUM, SERC, SJER, WOOD, BARR, BART, CPER, DELA, HEAL, JERC, KONA, ONAQ, OSBS, RMNP, SRER, TALL, TOOL, UNDE, BONA, CLBJ, DCFS, DEJU, JORN, KONZ, OAES, SCBI, STEI, STER, UKFS, YELL, ABBY, GRSM, LENO, MLBS, NIWO, NOGP, ORNL, SOAP, TEAK, TREE, WREF\n\nVariables: Daily Red_chromatic_coordinate, Daily Green_chromatic_coordinate", + "description": "\nmodel info: NA\n\nSites: BLAN, DSNY, GUAN, HARV, LAJA, MOAB, PUUM, SERC, SJER, WOOD, BONA, CLBJ, DCFS, DEJU, JORN, KONZ, OAES, SCBI, STEI, STER, UKFS, YELL, ABBY, GRSM, LENO, MLBS, NIWO, NOGP, ORNL, SOAP, TEAK, TREE, WREF, BARR, BART, CPER, DELA, HEAL, JERC, KONA, ONAQ, OSBS, RMNP, SRER, TALL, TOOL, UNDE\n\nVariables: Daily Green_chromatic_coordinate, Daily Red_chromatic_coordinate", "start_datetime": "2023-12-22", "end_datetime": "2024-01-25", "providers": [ @@ -91,8 +91,8 @@ "keywords": [ "Forecasting", "neon4cast", - "Daily Red_chromatic_coordinate", - "Daily Green_chromatic_coordinate" + "Daily Green_chromatic_coordinate", + "Daily Red_chromatic_coordinate" ], "table:columns": [ { @@ -229,16 +229,16 @@ "description": "The link to the model code provided by the model submission team" }, "3": { - "type": "application/x-parquet", - "title": "Database Access for Daily Red_chromatic_coordinate", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=rcc_90/model_id=PEG?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=rcc_90/model_id=PEG?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" - }, - "4": { "type": "application/x-parquet", "title": "Database Access for Daily Green_chromatic_coordinate", "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=gcc_90/model_id=PEG?endpoint_override=sdsc.osn.xsede.org", "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=gcc_90/model_id=PEG?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + }, + "4": { + "type": "application/x-parquet", + "title": "Database Access for Daily Red_chromatic_coordinate", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=rcc_90/model_id=PEG?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=rcc_90/model_id=PEG?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" } } } diff --git a/catalog/summaries/models/model_items/Sujan_forecast.json b/catalog/summaries/models/model_items/Sujan_forecast.json index 07ad30ac8f..dbe597f626 100644 --- a/catalog/summaries/models/model_items/Sujan_forecast.json +++ b/catalog/summaries/models/model_items/Sujan_forecast.json @@ -16,10 +16,10 @@ "geometry": { "type": "MultiPoint", "coordinates": [ - [-89.4737, 46.2097], [-82.0084, 29.676], - [-82.0177, 29.6878], [-149.6106, 68.6307], + [-82.0177, 29.6878], + [-89.4737, 46.2097], [-99.1139, 47.1591], [-89.7048, 45.9983], [-99.2531, 47.1298] diff --git a/catalog/summaries/models/model_items/TSLM_seasonal_JM.json b/catalog/summaries/models/model_items/TSLM_seasonal_JM.json index 034101a962..628cf6b197 100644 --- a/catalog/summaries/models/model_items/TSLM_seasonal_JM.json +++ b/catalog/summaries/models/model_items/TSLM_seasonal_JM.json @@ -16,17 +16,17 @@ "geometry": { "type": "MultiPoint", "coordinates": [ - [-89.7048, 45.9983], - [-99.1139, 47.1591], - [-99.2531, 47.1298], [-82.0084, 29.676], [-82.0177, 29.6878], [-149.6106, 68.6307], + [-89.7048, 45.9983], + [-99.1139, 47.1591], + [-99.2531, 47.1298], [-89.4737, 46.2097] ] }, "properties": { - "description": "\nmodel info: My model uses the fable package TSLM, and uses built in exogenous regressors to represent the trend and seasonality of the data as well as air temperature to predict water temperature.\n\nSites: LIRO, PRLA, PRPO, BARC, SUGG, TOOK, CRAM\n\nVariables: Daily Water_temperature", + "description": "\nmodel info: My model uses the fable package TSLM, and uses built in exogenous regressors to represent the trend and seasonality of the data as well as air temperature to predict water temperature.\n\nSites: BARC, SUGG, TOOK, LIRO, PRLA, PRPO, CRAM\n\nVariables: Daily Water_temperature", "start_datetime": "2024-02-29", "end_datetime": "2024-05-14", "providers": [ diff --git a/catalog/summaries/models/model_items/USGSHABs1.json b/catalog/summaries/models/model_items/USGSHABs1.json index 083bb4ccb8..2d603db8a0 100644 --- a/catalog/summaries/models/model_items/USGSHABs1.json +++ b/catalog/summaries/models/model_items/USGSHABs1.json @@ -16,21 +16,21 @@ "geometry": { "type": "MultiPoint", "coordinates": [ - [-87.7982, 32.5415], - [-84.4374, 31.1854], [], [], [], [], [], [], + [-87.7982, 32.5415], + [-84.4374, 31.1854], [-88.1589, 31.8534], [], [] ] }, "properties": { - "description": "\nmodel info: NA\n\nSites: BLWA, FLNT, USGS-14181500, USGS-05558300, USGS-05553700, USGS-05543010, USGS-05549500, USGS-01427510, TOMB, USGS-14211720, USGS-05586300\n\nVariables: Daily Chlorophyll_a, Daily Chlorophyll_a", + "description": "\nmodel info: NA\n\nSites: USGS-14181500, USGS-05558300, USGS-05553700, USGS-05543010, USGS-05549500, USGS-01427510, BLWA, FLNT, TOMB, USGS-14211720, USGS-05586300\n\nVariables: Daily Chlorophyll_a, Daily Chlorophyll_a", "start_datetime": "2023-11-12", "end_datetime": "2024-05-14", "providers": [ @@ -195,14 +195,14 @@ "3": { "type": "application/x-parquet", "title": "Database Access for Daily Chlorophyll_a", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=usgsrc4cast/duration=P1D/variable=chla/model_id=USGSHABs1?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=usgsrc4cast/duration=P1D/variable=chla/model_id=USGSHABs1?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=chla/model_id=USGSHABs1?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=chla/model_id=USGSHABs1?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, "4": { "type": "application/x-parquet", "title": "Database Access for Daily Chlorophyll_a", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=chla/model_id=USGSHABs1?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=chla/model_id=USGSHABs1?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=usgsrc4cast/duration=P1D/variable=chla/model_id=USGSHABs1?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=usgsrc4cast/duration=P1D/variable=chla/model_id=USGSHABs1?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" } } } diff --git a/catalog/summaries/models/model_items/acp_fableLM.json b/catalog/summaries/models/model_items/acp_fableLM.json index aa8e0ed2f1..232f20c29f 100644 --- a/catalog/summaries/models/model_items/acp_fableLM.json +++ b/catalog/summaries/models/model_items/acp_fableLM.json @@ -16,17 +16,17 @@ "geometry": { "type": "MultiPoint", "coordinates": [ - [-89.4737, 46.2097], + [-89.7048, 45.9983], + [-99.1139, 47.1591], + [-99.2531, 47.1298], [-82.0084, 29.676], [-82.0177, 29.6878], [-149.6106, 68.6307], - [-89.7048, 45.9983], - [-99.1139, 47.1591], - [-99.2531, 47.1298] + [-89.4737, 46.2097] ] }, "properties": { - "description": "\nmodel info: Time series linear model with FABLE\n\nSites: CRAM, BARC, SUGG, TOOK, LIRO, PRLA, PRPO\n\nVariables: Daily Water_temperature", + "description": "\nmodel info: Time series linear model with FABLE\n\nSites: LIRO, PRLA, PRPO, BARC, SUGG, TOOK, CRAM\n\nVariables: Daily Water_temperature", "start_datetime": "2024-03-11", "end_datetime": "2024-04-13", "providers": [ diff --git a/catalog/summaries/models/model_items/air2waterSat_2.json b/catalog/summaries/models/model_items/air2waterSat_2.json index d3da572966..18f9de7667 100644 --- a/catalog/summaries/models/model_items/air2waterSat_2.json +++ b/catalog/summaries/models/model_items/air2waterSat_2.json @@ -27,6 +27,13 @@ [-149.143, 68.6698], [-97.7823, 33.3785], [-82.0177, 29.6878], + [-119.2575, 37.0597], + [-110.5871, 44.9501], + [-96.6242, 34.4442], + [-89.4737, 46.2097], + [-83.5038, 35.6904], + [-111.5081, 33.751], + [-84.2793, 35.9574], [-87.7982, 32.5415], [-66.9868, 18.1135], [-84.4374, 31.1854], @@ -36,24 +43,17 @@ [-122.1655, 44.2596], [-78.1473, 38.8943], [-88.1589, 31.8534], - [-105.9154, 39.8914], [-89.7048, 45.9983], [-121.9338, 45.7908], [-99.1139, 47.1591], [-99.2531, 47.1298], [-111.7979, 40.7839], [-119.0274, 36.9559], - [-119.2575, 37.0597], - [-110.5871, 44.9501], - [-96.6242, 34.4442], - [-89.4737, 46.2097], - [-83.5038, 35.6904], - [-84.2793, 35.9574], - [-111.5081, 33.751] + [-105.9154, 39.8914] ] }, "properties": { - "description": "\nmodel info: NA\n\nSites: ARIK, BARC, CARI, COMO, GUIL, TOOK, LEWI, MCDI, OKSR, PRIN, SUGG, BLWA, CUPE, FLNT, HOPB, KING, MAYF, MCRA, POSE, TOMB, WLOU, LIRO, MART, PRLA, PRPO, REDB, TECR, BIGC, BLDE, BLUE, CRAM, LECO, WALK, SYCA\n\nVariables: Daily Dissolved_oxygen, Daily Water_temperature", + "description": "\nmodel info: NA\n\nSites: ARIK, BARC, CARI, COMO, GUIL, TOOK, LEWI, MCDI, OKSR, PRIN, SUGG, BIGC, BLDE, BLUE, CRAM, LECO, SYCA, WALK, BLWA, CUPE, FLNT, HOPB, KING, MAYF, MCRA, POSE, TOMB, LIRO, MART, PRLA, PRPO, REDB, TECR, WLOU\n\nVariables: Daily Water_temperature, Daily Dissolved_oxygen", "start_datetime": "2023-11-14", "end_datetime": "2024-03-05", "providers": [ @@ -78,8 +78,8 @@ "keywords": [ "Forecasting", "neon4cast", - "Daily Dissolved_oxygen", - "Daily Water_temperature" + "Daily Water_temperature", + "Daily Dissolved_oxygen" ], "table:columns": [ { @@ -216,16 +216,16 @@ "description": "The link to the model code provided by the model submission team" }, "3": { - "type": "application/x-parquet", - "title": "Database Access for Daily Dissolved_oxygen", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=oxygen/model_id=air2waterSat_2?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=oxygen/model_id=air2waterSat_2?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" - }, - "4": { "type": "application/x-parquet", "title": "Database Access for Daily Water_temperature", "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=temperature/model_id=air2waterSat_2?endpoint_override=sdsc.osn.xsede.org", "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=temperature/model_id=air2waterSat_2?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + }, + "4": { + "type": "application/x-parquet", + "title": "Database Access for Daily Dissolved_oxygen", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=oxygen/model_id=air2waterSat_2?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=oxygen/model_id=air2waterSat_2?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" } } } diff --git a/catalog/summaries/models/model_items/baseline_ensemble.json b/catalog/summaries/models/model_items/baseline_ensemble.json index 7cfb577e68..292884a3b7 100644 --- a/catalog/summaries/models/model_items/baseline_ensemble.json +++ b/catalog/summaries/models/model_items/baseline_ensemble.json @@ -24,48 +24,29 @@ [-87.4077, 32.9604], [-122.1655, 44.2596], [-78.1473, 38.8943], - [-97.57, 33.4012], - [-99.1066, 47.1617], + [-110.5391, 44.9535], + [-106.8425, 32.5907], + [-96.5631, 39.1008], [-89.5864, 45.5089], [-103.0293, 40.4619], [-95.1921, 39.0404], - [-106.8425, 32.5907], - [-96.5631, 39.1008], - [-110.5391, 44.9535], + [-97.57, 33.4012], + [-99.1066, 47.1617], [-99.0588, 35.4106], [-78.1395, 38.8929], [-147.5026, 65.154], [-145.7514, 63.8811], - [-105.5442, 40.035], - [-66.7987, 18.1741], - [-82.0177, 29.6878], - [-77.9832, 39.0956], - [-96.443, 38.9459], - [-97.7823, 33.3785], - [-102.4471, 39.7582], - [-82.0084, 29.676], - [-81.4362, 28.1251], - [-66.8687, 17.9696], - [-72.1727, 42.5369], - [-78.0418, 39.0337], - [-67.0769, 18.0213], - [-99.2413, 47.1282], - [-109.3883, 38.2483], - [-155.3173, 19.5531], - [-76.56, 38.8901], - [-119.7323, 37.1088], - [-147.504, 65.1532], [-119.0274, 36.9559], [-88.1589, 31.8534], [-105.9154, 39.8914], [-121.9338, 45.7908], [-111.7979, 40.7839], - [-71.2874, 44.0639], - [-104.7456, 40.8155], - [-87.3933, 32.9505], [-89.5373, 46.2339], [-84.4686, 31.1948], [-96.6129, 39.1104], + [-87.3933, 32.9505], + [-71.2874, 44.0639], + [-104.7456, 40.8155], [-87.8039, 32.5417], [-112.4524, 40.1776], [-81.9934, 29.6893], @@ -75,30 +56,49 @@ [-149.3705, 68.6611], [-156.6194, 71.2824], [-89.7048, 45.9983], - [-99.1139, 47.1591], [-99.2531, 47.1298], + [-99.1139, 47.1591], + [-105.5442, 40.035], + [-66.7987, 18.1741], + [-82.0177, 29.6878], + [-77.9832, 39.0956], + [-96.443, 38.9459], + [-97.7823, 33.3785], + [-102.4471, 39.7582], + [-82.0084, 29.676], + [-99.2413, 47.1282], + [-72.1727, 42.5369], + [-67.0769, 18.0213], + [-78.0418, 39.0337], + [-81.4362, 28.1251], + [-66.8687, 17.9696], + [-155.3173, 19.5531], + [-109.3883, 38.2483], + [-76.56, 38.8901], + [-119.7323, 37.1088], + [-147.504, 65.1532], [-111.5081, 33.751], [-84.2793, 35.9574], [-83.5038, 35.6904], [-119.2575, 37.0597], [-110.5871, 44.9501], [-96.6242, 34.4442], - [-83.5019, 35.689], - [-122.3303, 45.7624], + [-121.9519, 45.8205], + [-88.1612, 31.8539], [-119.006, 37.0058], [-89.5857, 45.4937], - [-88.1612, 31.8539], - [-121.9519, 45.8205], + [-122.3303, 45.7624], + [-83.5019, 35.689], + [-84.2826, 35.9641], [-80.5248, 37.3783], [-105.5824, 40.0543], [-100.9154, 46.7697], - [-84.2826, 35.9641], [-119.2622, 37.0334], [-89.4737, 46.2097] ] }, "properties": { - "description": "\nmodel info: NA\n\nSites: BLWA, CUPE, FLNT, HOPB, KING, MAYF, MCRA, POSE, CLBJ, DCFS, STEI, STER, UKFS, JORN, KONZ, YELL, OAES, SCBI, BONA, DEJU, COMO, GUIL, SUGG, LEWI, MCDI, PRIN, ARIK, BARC, DSNY, GUAN, HARV, BLAN, LAJA, WOOD, MOAB, PUUM, SERC, SJER, CARI, TECR, TOMB, WLOU, MART, REDB, BART, CPER, TALL, UNDE, JERC, KONA, DELA, ONAQ, OSBS, RMNP, SRER, HEAL, TOOL, BARR, LIRO, PRLA, PRPO, SYCA, WALK, LECO, BIGC, BLDE, BLUE, GRSM, ABBY, TEAK, TREE, LENO, WREF, MLBS, NIWO, NOGP, ORNL, SOAP, CRAM\n\nVariables: Daily Red_chromatic_coordinate, Daily Water_temperature", + "description": "\nmodel info: NA\n\nSites: BLWA, CUPE, FLNT, HOPB, KING, MAYF, MCRA, POSE, YELL, JORN, KONZ, STEI, STER, UKFS, CLBJ, DCFS, OAES, SCBI, BONA, DEJU, TECR, TOMB, WLOU, MART, REDB, UNDE, JERC, KONA, TALL, BART, CPER, DELA, ONAQ, OSBS, RMNP, SRER, HEAL, TOOL, BARR, LIRO, PRPO, PRLA, COMO, GUIL, SUGG, LEWI, MCDI, PRIN, ARIK, BARC, WOOD, HARV, LAJA, BLAN, DSNY, GUAN, PUUM, MOAB, SERC, SJER, CARI, SYCA, WALK, LECO, BIGC, BLDE, BLUE, WREF, LENO, TEAK, TREE, ABBY, GRSM, ORNL, MLBS, NIWO, NOGP, SOAP, CRAM\n\nVariables: Daily Water_temperature, Daily Red_chromatic_coordinate", "start_datetime": "2023-11-14", "end_datetime": "2024-05-10", "providers": [ @@ -123,8 +123,8 @@ "keywords": [ "Forecasting", "neon4cast", - "Daily Red_chromatic_coordinate", - "Daily Water_temperature" + "Daily Water_temperature", + "Daily Red_chromatic_coordinate" ], "table:columns": [ { @@ -261,16 +261,16 @@ "description": "The link to the model code provided by the model submission team" }, "3": { - "type": "application/x-parquet", - "title": "Database Access for Daily Red_chromatic_coordinate", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=rcc_90/model_id=baseline_ensemble?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=rcc_90/model_id=baseline_ensemble?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" - }, - "4": { "type": "application/x-parquet", "title": "Database Access for Daily Water_temperature", "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=temperature/model_id=baseline_ensemble?endpoint_override=sdsc.osn.xsede.org", "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=temperature/model_id=baseline_ensemble?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + }, + "4": { + "type": "application/x-parquet", + "title": "Database Access for Daily Red_chromatic_coordinate", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=rcc_90/model_id=baseline_ensemble?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=rcc_90/model_id=baseline_ensemble?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" } } } diff --git a/catalog/summaries/models/model_items/bee_bake_RFModel_2024.json b/catalog/summaries/models/model_items/bee_bake_RFModel_2024.json index 0381a06021..2ba039e011 100644 --- a/catalog/summaries/models/model_items/bee_bake_RFModel_2024.json +++ b/catalog/summaries/models/model_items/bee_bake_RFModel_2024.json @@ -16,17 +16,17 @@ "geometry": { "type": "MultiPoint", "coordinates": [ - [-82.0084, 29.676], - [-82.0177, 29.6878], - [-149.6106, 68.6307], [-89.4737, 46.2097], [-89.7048, 45.9983], [-99.2531, 47.1298], - [-99.1139, 47.1591] + [-99.1139, 47.1591], + [-82.0084, 29.676], + [-82.0177, 29.6878], + [-149.6106, 68.6307] ] }, "properties": { - "description": "\nmodel info: Random Forest\n\nSites: BARC, SUGG, TOOK, CRAM, LIRO, PRPO, PRLA\n\nVariables: Daily Water_temperature", + "description": "\nmodel info: Random Forest\n\nSites: CRAM, LIRO, PRPO, PRLA, BARC, SUGG, TOOK\n\nVariables: Daily Water_temperature", "start_datetime": "2024-02-29", "end_datetime": "2024-05-14", "providers": [ diff --git a/catalog/summaries/models/model_items/bet_example_mod_naive.json b/catalog/summaries/models/model_items/bet_example_mod_naive.json index bfea30654e..373f4f46f2 100644 --- a/catalog/summaries/models/model_items/bet_example_mod_naive.json +++ b/catalog/summaries/models/model_items/bet_example_mod_naive.json @@ -26,6 +26,18 @@ [-66.8687, 17.9696], [-81.4362, 28.1251], [-78.0418, 39.0337], + [-110.5391, 44.9535], + [-95.1921, 39.0404], + [-103.0293, 40.4619], + [-89.5864, 45.5089], + [-78.1395, 38.8929], + [-99.0588, 35.4106], + [-96.5631, 39.1008], + [-106.8425, 32.5907], + [-145.7514, 63.8811], + [-99.1066, 47.1617], + [-97.57, 33.4012], + [-147.5026, 65.154], [-89.5373, 46.2339], [-149.3705, 68.6611], [-87.3933, 32.9505], @@ -40,18 +52,6 @@ [-104.7456, 40.8155], [-71.2874, 44.0639], [-156.6194, 71.2824], - [-110.5391, 44.9535], - [-95.1921, 39.0404], - [-103.0293, 40.4619], - [-89.5864, 45.5089], - [-78.1395, 38.8929], - [-99.0588, 35.4106], - [-96.5631, 39.1008], - [-106.8425, 32.5907], - [-145.7514, 63.8811], - [-99.1066, 47.1617], - [-97.57, 33.4012], - [-147.5026, 65.154], [-121.9519, 45.8205], [-89.5857, 45.4937], [-119.006, 37.0058], diff --git a/catalog/summaries/models/model_items/bet_example_mod_null.json b/catalog/summaries/models/model_items/bet_example_mod_null.json index 81256132f2..3392a25354 100644 --- a/catalog/summaries/models/model_items/bet_example_mod_null.json +++ b/catalog/summaries/models/model_items/bet_example_mod_null.json @@ -26,6 +26,18 @@ [-66.8687, 17.9696], [-81.4362, 28.1251], [-78.0418, 39.0337], + [-110.5391, 44.9535], + [-95.1921, 39.0404], + [-103.0293, 40.4619], + [-89.5864, 45.5089], + [-78.1395, 38.8929], + [-99.0588, 35.4106], + [-96.5631, 39.1008], + [-106.8425, 32.5907], + [-145.7514, 63.8811], + [-99.1066, 47.1617], + [-97.57, 33.4012], + [-147.5026, 65.154], [-89.5373, 46.2339], [-149.3705, 68.6611], [-87.3933, 32.9505], @@ -40,18 +52,6 @@ [-104.7456, 40.8155], [-71.2874, 44.0639], [-156.6194, 71.2824], - [-110.5391, 44.9535], - [-95.1921, 39.0404], - [-103.0293, 40.4619], - [-89.5864, 45.5089], - [-78.1395, 38.8929], - [-99.0588, 35.4106], - [-96.5631, 39.1008], - [-106.8425, 32.5907], - [-145.7514, 63.8811], - [-99.1066, 47.1617], - [-97.57, 33.4012], - [-147.5026, 65.154], [-121.9519, 45.8205], [-89.5857, 45.4937], [-119.006, 37.0058], diff --git a/catalog/summaries/models/model_items/bet_lm_precip_clim_ensemble.json b/catalog/summaries/models/model_items/bet_lm_precip_clim_ensemble.json index 088a84be60..593a0bb135 100644 --- a/catalog/summaries/models/model_items/bet_lm_precip_clim_ensemble.json +++ b/catalog/summaries/models/model_items/bet_lm_precip_clim_ensemble.json @@ -16,26 +16,6 @@ "geometry": { "type": "MultiPoint", "coordinates": [ - [-156.6194, 71.2824], - [-71.2874, 44.0639], - [-104.7456, 40.8155], - [-87.8039, 32.5417], - [-149.2133, 63.8758], - [-84.4686, 31.1948], - [-96.6129, 39.1104], - [-112.4524, 40.1776], - [-81.9934, 29.6893], - [-87.3933, 32.9505], - [-149.3705, 68.6611], - [-89.5373, 46.2339], - [-122.3303, 45.7624], - [-83.5019, 35.689], - [-105.5824, 40.0543], - [-100.9154, 46.7697], - [-84.2826, 35.9641], - [-119.006, 37.0058], - [-89.5857, 45.4937], - [-121.9519, 45.8205], [-78.0418, 39.0337], [-81.4362, 28.1251], [-66.8687, 17.9696], @@ -52,7 +32,27 @@ [-96.5631, 39.1008], [-99.0588, 35.4106], [-95.1921, 39.0404], - [-110.5391, 44.9535] + [-110.5391, 44.9535], + [-122.3303, 45.7624], + [-83.5019, 35.689], + [-105.5824, 40.0543], + [-100.9154, 46.7697], + [-84.2826, 35.9641], + [-119.006, 37.0058], + [-89.5857, 45.4937], + [-121.9519, 45.8205], + [-156.6194, 71.2824], + [-71.2874, 44.0639], + [-104.7456, 40.8155], + [-87.8039, 32.5417], + [-149.2133, 63.8758], + [-84.4686, 31.1948], + [-96.6129, 39.1104], + [-112.4524, 40.1776], + [-81.9934, 29.6893], + [-87.3933, 32.9505], + [-149.3705, 68.6611], + [-89.5373, 46.2339] ] }, "properties": { diff --git a/catalog/summaries/models/model_items/bet_lm_temp_clim_ensemble.json b/catalog/summaries/models/model_items/bet_lm_temp_clim_ensemble.json index 5051fbadeb..f419d79178 100644 --- a/catalog/summaries/models/model_items/bet_lm_temp_clim_ensemble.json +++ b/catalog/summaries/models/model_items/bet_lm_temp_clim_ensemble.json @@ -25,22 +25,6 @@ [-99.0588, 35.4106], [-95.1921, 39.0404], [-110.5391, 44.9535], - [-78.0418, 39.0337], - [-81.4362, 28.1251], - [-66.8687, 17.9696], - [-72.1727, 42.5369], - [-67.0769, 18.0213], - [-109.3883, 38.2483], - [-155.3173, 19.5531], - [-99.2413, 47.1282], - [-122.3303, 45.7624], - [-83.5019, 35.689], - [-105.5824, 40.0543], - [-100.9154, 46.7697], - [-84.2826, 35.9641], - [-119.006, 37.0058], - [-89.5857, 45.4937], - [-121.9519, 45.8205], [-156.6194, 71.2824], [-71.2874, 44.0639], [-104.7456, 40.8155], @@ -52,7 +36,23 @@ [-81.9934, 29.6893], [-87.3933, 32.9505], [-149.3705, 68.6611], - [-89.5373, 46.2339] + [-89.5373, 46.2339], + [-122.3303, 45.7624], + [-83.5019, 35.689], + [-105.5824, 40.0543], + [-100.9154, 46.7697], + [-84.2826, 35.9641], + [-119.006, 37.0058], + [-89.5857, 45.4937], + [-121.9519, 45.8205], + [-78.0418, 39.0337], + [-81.4362, 28.1251], + [-66.8687, 17.9696], + [-72.1727, 42.5369], + [-67.0769, 18.0213], + [-109.3883, 38.2483], + [-155.3173, 19.5531], + [-99.2413, 47.1282] ] }, "properties": { diff --git a/catalog/summaries/models/model_items/bet_lm_temp_precip_clim_ensemble.json b/catalog/summaries/models/model_items/bet_lm_temp_precip_clim_ensemble.json index 8fa2d5558f..d36818c26d 100644 --- a/catalog/summaries/models/model_items/bet_lm_temp_precip_clim_ensemble.json +++ b/catalog/summaries/models/model_items/bet_lm_temp_precip_clim_ensemble.json @@ -16,14 +16,6 @@ "geometry": { "type": "MultiPoint", "coordinates": [ - [-122.3303, 45.7624], - [-83.5019, 35.689], - [-105.5824, 40.0543], - [-100.9154, 46.7697], - [-84.2826, 35.9641], - [-119.006, 37.0058], - [-89.5857, 45.4937], - [-121.9519, 45.8205], [-78.0418, 39.0337], [-81.4362, 28.1251], [-66.8687, 17.9696], @@ -32,6 +24,15 @@ [-109.3883, 38.2483], [-155.3173, 19.5531], [-99.2413, 47.1282], + [-147.5026, 65.154], + [-97.57, 33.4012], + [-99.1066, 47.1617], + [-145.7514, 63.8811], + [-106.8425, 32.5907], + [-96.5631, 39.1008], + [-99.0588, 35.4106], + [-95.1921, 39.0404], + [-110.5391, 44.9535], [-156.6194, 71.2824], [-71.2874, 44.0639], [-104.7456, 40.8155], @@ -44,15 +45,14 @@ [-87.3933, 32.9505], [-149.3705, 68.6611], [-89.5373, 46.2339], - [-147.5026, 65.154], - [-97.57, 33.4012], - [-99.1066, 47.1617], - [-145.7514, 63.8811], - [-106.8425, 32.5907], - [-96.5631, 39.1008], - [-99.0588, 35.4106], - [-95.1921, 39.0404], - [-110.5391, 44.9535] + [-122.3303, 45.7624], + [-83.5019, 35.689], + [-105.5824, 40.0543], + [-100.9154, 46.7697], + [-84.2826, 35.9641], + [-119.006, 37.0058], + [-89.5857, 45.4937], + [-121.9519, 45.8205] ] }, "properties": { diff --git a/catalog/summaries/models/model_items/cb_f1.json b/catalog/summaries/models/model_items/cb_f1.json index 3873860656..e56b954be3 100644 --- a/catalog/summaries/models/model_items/cb_f1.json +++ b/catalog/summaries/models/model_items/cb_f1.json @@ -30,11 +30,18 @@ [-87.7982, 32.5415], [-66.9868, 18.1135], [-84.4374, 31.1854], - [-72.3295, 42.4719], - [-96.6038, 39.1051], [-87.4077, 32.9604], [-122.1655, 44.2596], [-78.1473, 38.8943], + [-72.3295, 42.4719], + [-96.6038, 39.1051], + [-119.2575, 37.0597], + [-110.5871, 44.9501], + [-96.6242, 34.4442], + [-89.4737, 46.2097], + [-83.5038, 35.6904], + [-111.5081, 33.751], + [-84.2793, 35.9574], [-89.7048, 45.9983], [-121.9338, 45.7908], [-99.1139, 47.1591], @@ -42,14 +49,7 @@ [-111.7979, 40.7839], [-119.0274, 36.9559], [-88.1589, 31.8534], - [-105.9154, 39.8914], - [-119.2575, 37.0597], - [-110.5871, 44.9501], - [-96.6242, 34.4442], - [-89.4737, 46.2097], - [-83.5038, 35.6904], - [-111.5081, 33.751], - [-84.2793, 35.9574] + [-105.9154, 39.8914] ] }, "properties": { @@ -78,8 +78,8 @@ "keywords": [ "Forecasting", "neon4cast", - "Daily Water_temperature", - "Daily Dissolved_oxygen" + "Daily Dissolved_oxygen", + "Daily Water_temperature" ], "table:columns": [ { @@ -216,16 +216,16 @@ "description": "The link to the model code provided by the model submission team" }, "3": { - "type": "application/x-parquet", - "title": "Database Access for Daily Water_temperature", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=temperature/model_id=cb_f1?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=temperature/model_id=cb_f1?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" - }, - "4": { "type": "application/x-parquet", "title": "Database Access for Daily Dissolved_oxygen", "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=oxygen/model_id=cb_f1?endpoint_override=sdsc.osn.xsede.org", "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=oxygen/model_id=cb_f1?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + }, + "4": { + "type": "application/x-parquet", + "title": "Database Access for Daily Water_temperature", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=temperature/model_id=cb_f1?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=temperature/model_id=cb_f1?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" } } } diff --git a/catalog/summaries/models/model_items/cb_prophet.json b/catalog/summaries/models/model_items/cb_prophet.json index 97b9608e03..dda3383fb7 100644 --- a/catalog/summaries/models/model_items/cb_prophet.json +++ b/catalog/summaries/models/model_items/cb_prophet.json @@ -16,26 +16,6 @@ "geometry": { "type": "MultiPoint", "coordinates": [ - [-78.1395, 38.8929], - [-103.0293, 40.4619], - [-95.1921, 39.0404], - [-145.7514, 63.8811], - [-96.5631, 39.1008], - [-106.8425, 32.5907], - [-89.5864, 45.5089], - [-99.1066, 47.1617], - [-99.0588, 35.4106], - [-97.57, 33.4012], - [-147.5026, 65.154], - [-87.7982, 32.5415], - [-66.9868, 18.1135], - [-84.4374, 31.1854], - [-72.3295, 42.4719], - [-96.6038, 39.1051], - [-87.4077, 32.9604], - [-122.1655, 44.2596], - [-78.1473, 38.8943], - [-110.5391, 44.9535], [-155.3173, 19.5531], [-66.8687, 17.9696], [-109.3883, 38.2483], @@ -71,8 +51,28 @@ [-96.6242, 34.4442], [-89.4737, 46.2097], [-83.5038, 35.6904], - [-111.5081, 33.751], [-84.2793, 35.9574], + [-111.5081, 33.751], + [-78.1395, 38.8929], + [-103.0293, 40.4619], + [-95.1921, 39.0404], + [-145.7514, 63.8811], + [-96.5631, 39.1008], + [-106.8425, 32.5907], + [-89.5864, 45.5089], + [-99.1066, 47.1617], + [-99.0588, 35.4106], + [-97.57, 33.4012], + [-147.5026, 65.154], + [-87.7982, 32.5415], + [-66.9868, 18.1135], + [-84.4374, 31.1854], + [-72.3295, 42.4719], + [-96.6038, 39.1051], + [-87.4077, 32.9604], + [-122.1655, 44.2596], + [-78.1473, 38.8943], + [-110.5391, 44.9535], [-81.9934, 29.6893], [-71.2874, 44.0639], [-104.7456, 40.8155], @@ -89,16 +89,16 @@ [-112.4524, 40.1776], [-89.7048, 45.9983], [-121.9338, 45.7908], + [-99.1139, 47.1591], + [-99.2531, 47.1298], [-111.7979, 40.7839], [-119.0274, 36.9559], [-88.1589, 31.8534], - [-105.9154, 39.8914], - [-99.1139, 47.1591], - [-99.2531, 47.1298] + [-105.9154, 39.8914] ] }, "properties": { - "description": "\nmodel info: NA\n\nSites: SCBI, STER, UKFS, DEJU, KONZ, JORN, STEI, DCFS, OAES, CLBJ, BONA, BLWA, CUPE, FLNT, HOPB, KING, MAYF, MCRA, POSE, YELL, PUUM, GUAN, MOAB, HARV, WOOD, SERC, BLAN, LAJA, SJER, DSNY, ARIK, BARC, CARI, COMO, GUIL, LEWI, MCDI, PRIN, SUGG, TREE, ABBY, LENO, SOAP, GRSM, ORNL, NOGP, MLBS, NIWO, WREF, TEAK, BIGC, BLDE, BLUE, CRAM, LECO, SYCA, WALK, OSBS, BART, CPER, UNDE, KONA, RMNP, BARR, TALL, TOOL, HEAL, SRER, JERC, DELA, ONAQ, LIRO, MART, REDB, TECR, TOMB, WLOU, PRLA, PRPO\n\nVariables: Daily Dissolved_oxygen, Daily latent_heat_flux, Daily Green_chromatic_coordinate, Daily Net_ecosystem_exchange, Daily Red_chromatic_coordinate, Daily Chlorophyll_a, Daily Water_temperature", + "description": "\nmodel info: NA\n\nSites: PUUM, GUAN, MOAB, HARV, WOOD, SERC, BLAN, LAJA, SJER, DSNY, ARIK, BARC, CARI, COMO, GUIL, LEWI, MCDI, PRIN, SUGG, TREE, ABBY, LENO, SOAP, GRSM, ORNL, NOGP, MLBS, NIWO, WREF, TEAK, BIGC, BLDE, BLUE, CRAM, LECO, WALK, SYCA, SCBI, STER, UKFS, DEJU, KONZ, JORN, STEI, DCFS, OAES, CLBJ, BONA, BLWA, CUPE, FLNT, HOPB, KING, MAYF, MCRA, POSE, YELL, OSBS, BART, CPER, UNDE, KONA, RMNP, BARR, TALL, TOOL, HEAL, SRER, JERC, DELA, ONAQ, LIRO, MART, PRLA, PRPO, REDB, TECR, TOMB, WLOU\n\nVariables: Daily Water_temperature, Daily Dissolved_oxygen, Daily latent_heat_flux, Daily Green_chromatic_coordinate, Daily Chlorophyll_a, Daily Net_ecosystem_exchange, Daily Red_chromatic_coordinate", "start_datetime": "2023-11-14", "end_datetime": "2024-03-10", "providers": [ @@ -123,13 +123,13 @@ "keywords": [ "Forecasting", "neon4cast", + "Daily Water_temperature", "Daily Dissolved_oxygen", "Daily latent_heat_flux", "Daily Green_chromatic_coordinate", - "Daily Net_ecosystem_exchange", - "Daily Red_chromatic_coordinate", "Daily Chlorophyll_a", - "Daily Water_temperature" + "Daily Net_ecosystem_exchange", + "Daily Red_chromatic_coordinate" ], "table:columns": [ { @@ -266,46 +266,46 @@ "description": "The link to the model code provided by the model submission team" }, "3": { + "type": "application/x-parquet", + "title": "Database Access for Daily Water_temperature", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=temperature/model_id=cb_prophet?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=temperature/model_id=cb_prophet?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + }, + "4": { "type": "application/x-parquet", "title": "Database Access for Daily Dissolved_oxygen", "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=oxygen/model_id=cb_prophet?endpoint_override=sdsc.osn.xsede.org", "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=oxygen/model_id=cb_prophet?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, - "4": { + "5": { "type": "application/x-parquet", "title": "Database Access for Daily latent_heat_flux", "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=le/model_id=cb_prophet?endpoint_override=sdsc.osn.xsede.org", "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=le/model_id=cb_prophet?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, - "5": { + "6": { "type": "application/x-parquet", "title": "Database Access for Daily Green_chromatic_coordinate", "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=gcc_90/model_id=cb_prophet?endpoint_override=sdsc.osn.xsede.org", "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=gcc_90/model_id=cb_prophet?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, - "6": { + "7": { + "type": "application/x-parquet", + "title": "Database Access for Daily Chlorophyll_a", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=chla/model_id=cb_prophet?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=chla/model_id=cb_prophet?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + }, + "8": { "type": "application/x-parquet", "title": "Database Access for Daily Net_ecosystem_exchange", "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=nee/model_id=cb_prophet?endpoint_override=sdsc.osn.xsede.org", "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=nee/model_id=cb_prophet?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, - "7": { + "9": { "type": "application/x-parquet", "title": "Database Access for Daily Red_chromatic_coordinate", "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=rcc_90/model_id=cb_prophet?endpoint_override=sdsc.osn.xsede.org", "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=rcc_90/model_id=cb_prophet?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" - }, - "8": { - "type": "application/x-parquet", - "title": "Database Access for Daily Chlorophyll_a", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=chla/model_id=cb_prophet?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=chla/model_id=cb_prophet?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" - }, - "9": { - "type": "application/x-parquet", - "title": "Database Access for Daily Water_temperature", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=temperature/model_id=cb_prophet?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=temperature/model_id=cb_prophet?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" } } } diff --git a/catalog/summaries/models/model_items/climatology.json b/catalog/summaries/models/model_items/climatology.json index 4eb90b6722..16710e2e81 100644 --- a/catalog/summaries/models/model_items/climatology.json +++ b/catalog/summaries/models/model_items/climatology.json @@ -28,14 +28,38 @@ [-110.5391, 44.9535], [-147.5026, 65.154], [-145.7514, 63.8811], - [-87.7982, 32.5415], - [-84.4374, 31.1854], [-66.9868, 18.1135], + [-84.4374, 31.1854], [-72.3295, 42.4719], [-96.6038, 39.1051], [-87.4077, 32.9604], [-122.1655, 44.2596], [-78.1473, 38.8943], + [-87.7982, 32.5415], + [-71.2874, 44.0639], + [-104.7456, 40.8155], + [-87.8039, 32.5417], + [-84.4686, 31.1948], + [-96.6129, 39.1104], + [-112.4524, 40.1776], + [-81.9934, 29.6893], + [-105.546, 40.2759], + [-110.8355, 31.9107], + [-87.3933, 32.9505], + [-89.5373, 46.2339], + [-156.6194, 71.2824], + [-149.2133, 63.8758], + [-149.3705, 68.6611], + [-121.9338, 45.7908], + [-111.7979, 40.7839], + [-119.0274, 36.9559], + [-105.9154, 39.8914], + [-88.1589, 31.8534], + [-99.2531, 47.1298], + [-89.7048, 45.9983], + [-99.1139, 47.1591], + [], + [], [-78.0418, 39.0337], [-81.4362, 28.1251], [-66.8687, 17.9696], @@ -46,17 +70,17 @@ [-76.56, 38.8901], [-119.7323, 37.1088], [-99.2413, 47.1282], + [-102.4471, 39.7582], [-82.0084, 29.676], - [-82.0177, 29.6878], - [-147.504, 65.1532], [-105.5442, 40.035], [-66.7987, 18.1741], [-77.9832, 39.0956], [-96.443, 38.9459], [-97.7823, 33.3785], - [-102.4471, 39.7582], - [-149.143, 68.6698], + [-82.0177, 29.6878], + [-147.504, 65.1532], [-149.6106, 68.6307], + [-149.143, 68.6698], [], [], [], @@ -75,42 +99,18 @@ [-119.006, 37.0058], [-89.5857, 45.4937], [-121.9519, 45.8205], - [-89.4737, 46.2097], [-119.2575, 37.0597], [-110.5871, 44.9501], [-96.6242, 34.4442], [-83.5038, 35.6904], [-111.5081, 33.751], [-84.2793, 35.9574], - [], - [-71.2874, 44.0639], - [-104.7456, 40.8155], - [-87.8039, 32.5417], - [-84.4686, 31.1948], - [-96.6129, 39.1104], - [-112.4524, 40.1776], - [-81.9934, 29.6893], - [-105.546, 40.2759], - [-110.8355, 31.9107], - [-87.3933, 32.9505], - [-89.5373, 46.2339], - [-156.6194, 71.2824], - [-149.2133, 63.8758], - [-149.3705, 68.6611], - [-88.1589, 31.8534], - [-89.7048, 45.9983], - [-121.9338, 45.7908], - [-99.1139, 47.1591], - [-99.2531, 47.1298], - [-111.7979, 40.7839], - [-119.0274, 36.9559], - [-105.9154, 39.8914], - [], + [-89.4737, 46.2097], [] ] }, "properties": { - "description": "\nmodel info: NA\n\nSites: CLBJ, DCFS, JORN, KONZ, OAES, SCBI, STEI, STER, UKFS, YELL, BONA, DEJU, BLWA, FLNT, CUPE, HOPB, KING, MAYF, MCRA, POSE, BLAN, DSNY, GUAN, HARV, LAJA, MOAB, PUUM, SERC, SJER, WOOD, BARC, SUGG, CARI, COMO, GUIL, LEWI, MCDI, PRIN, ARIK, OKSR, TOOK, USGS-01427510, USGS-01463500, USGS-05543010, USGS-05553700, USGS-05558300, USGS-14181500, USGS-05549500, ABBY, GRSM, LENO, MLBS, NIWO, NOGP, ORNL, SOAP, TEAK, TREE, WREF, CRAM, BIGC, BLDE, BLUE, LECO, SYCA, WALK, USGS-14211010, BART, CPER, DELA, JERC, KONA, ONAQ, OSBS, RMNP, SRER, TALL, UNDE, BARR, HEAL, TOOL, TOMB, LIRO, MART, PRLA, PRPO, REDB, TECR, WLOU, USGS-05586300, USGS-14211720\n\nVariables: Daily Water_temperature, 30min latent_heat_flux, Daily latent_heat_flux, Daily Dissolved_oxygen, Daily Net_ecosystem_exchange, 30min Net_ecosystem_exchange, Daily Red_chromatic_coordinate, Daily Green_chromatic_coordinate, Daily Chlorophyll_a, Daily Chlorophyll_a", + "description": "\nmodel info: NA\n\nSites: CLBJ, DCFS, JORN, KONZ, OAES, SCBI, STEI, STER, UKFS, YELL, BONA, DEJU, CUPE, FLNT, HOPB, KING, MAYF, MCRA, POSE, BLWA, BART, CPER, DELA, JERC, KONA, ONAQ, OSBS, RMNP, SRER, TALL, UNDE, BARR, HEAL, TOOL, MART, REDB, TECR, WLOU, TOMB, PRPO, LIRO, PRLA, USGS-05586300, USGS-14211720, BLAN, DSNY, GUAN, HARV, LAJA, MOAB, PUUM, SERC, SJER, WOOD, ARIK, BARC, COMO, GUIL, LEWI, MCDI, PRIN, SUGG, CARI, TOOK, OKSR, USGS-01427510, USGS-01463500, USGS-05543010, USGS-05553700, USGS-05558300, USGS-14181500, USGS-05549500, ABBY, GRSM, LENO, MLBS, NIWO, NOGP, ORNL, SOAP, TEAK, TREE, WREF, BIGC, BLDE, BLUE, LECO, SYCA, WALK, CRAM, USGS-14211010\n\nVariables: Daily Water_temperature, Daily latent_heat_flux, 30min latent_heat_flux, Daily Dissolved_oxygen, Daily Net_ecosystem_exchange, 30min Net_ecosystem_exchange, Daily Chlorophyll_a, Daily Chlorophyll_a, Daily Red_chromatic_coordinate, Daily Green_chromatic_coordinate", "start_datetime": "2023-01-02", "end_datetime": "2024-05-17", "providers": [ @@ -136,15 +136,15 @@ "Forecasting", "neon4cast", "Daily Water_temperature", - "30min latent_heat_flux", "Daily latent_heat_flux", + "30min latent_heat_flux", "Daily Dissolved_oxygen", "Daily Net_ecosystem_exchange", "30min Net_ecosystem_exchange", - "Daily Red_chromatic_coordinate", - "Daily Green_chromatic_coordinate", "Daily Chlorophyll_a", - "Daily Chlorophyll_a" + "Daily Chlorophyll_a", + "Daily Red_chromatic_coordinate", + "Daily Green_chromatic_coordinate" ], "table:columns": [ { @@ -287,17 +287,17 @@ "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=temperature/model_id=climatology?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, "4": { - "type": "application/x-parquet", - "title": "Database Access for 30min latent_heat_flux", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=PT30M/variable=le/model_id=climatology?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=PT30M/variable=le/model_id=climatology?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" - }, - "5": { "type": "application/x-parquet", "title": "Database Access for Daily latent_heat_flux", "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=le/model_id=climatology?endpoint_override=sdsc.osn.xsede.org", "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=le/model_id=climatology?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, + "5": { + "type": "application/x-parquet", + "title": "Database Access for 30min latent_heat_flux", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=PT30M/variable=le/model_id=climatology?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=PT30M/variable=le/model_id=climatology?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + }, "6": { "type": "application/x-parquet", "title": "Database Access for Daily Dissolved_oxygen", @@ -318,27 +318,27 @@ }, "9": { "type": "application/x-parquet", - "title": "Database Access for Daily Red_chromatic_coordinate", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=rcc_90/model_id=climatology?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=rcc_90/model_id=climatology?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + "title": "Database Access for Daily Chlorophyll_a", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=chla/model_id=climatology?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=chla/model_id=climatology?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, "10": { "type": "application/x-parquet", - "title": "Database Access for Daily Green_chromatic_coordinate", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=gcc_90/model_id=climatology?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=gcc_90/model_id=climatology?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + "title": "Database Access for Daily Chlorophyll_a", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=usgsrc4cast/duration=P1D/variable=chla/model_id=climatology?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=usgsrc4cast/duration=P1D/variable=chla/model_id=climatology?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, "11": { "type": "application/x-parquet", - "title": "Database Access for Daily Chlorophyll_a", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=chla/model_id=climatology?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=chla/model_id=climatology?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + "title": "Database Access for Daily Red_chromatic_coordinate", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=rcc_90/model_id=climatology?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=rcc_90/model_id=climatology?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, "12": { "type": "application/x-parquet", - "title": "Database Access for Daily Chlorophyll_a", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=usgsrc4cast/duration=P1D/variable=chla/model_id=climatology?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=usgsrc4cast/duration=P1D/variable=chla/model_id=climatology?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + "title": "Database Access for Daily Green_chromatic_coordinate", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=gcc_90/model_id=climatology?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=gcc_90/model_id=climatology?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" } } } diff --git a/catalog/summaries/models/model_items/example_ACP_sp24.json b/catalog/summaries/models/model_items/example_ACP_sp24.json index e6e6bcef72..06558e274f 100644 --- a/catalog/summaries/models/model_items/example_ACP_sp24.json +++ b/catalog/summaries/models/model_items/example_ACP_sp24.json @@ -19,10 +19,10 @@ [-89.7048, 45.9983], [-99.1139, 47.1591], [-99.2531, 47.1298], - [-89.4737, 46.2097], [-82.0084, 29.676], [-82.0177, 29.6878], - [-149.6106, 68.6307] + [-149.6106, 68.6307], + [-89.4737, 46.2097] ] }, "properties": { diff --git a/catalog/summaries/models/model_items/example_BK.json b/catalog/summaries/models/model_items/example_BK.json index 0afa5d5c16..f44299d56c 100644 --- a/catalog/summaries/models/model_items/example_BK.json +++ b/catalog/summaries/models/model_items/example_BK.json @@ -16,13 +16,13 @@ "geometry": { "type": "MultiPoint", "coordinates": [ - [-82.0084, 29.676], - [-82.0177, 29.6878], - [-149.6106, 68.6307], [-89.7048, 45.9983], [-99.1139, 47.1591], [-99.2531, 47.1298], - [-89.4737, 46.2097] + [-89.4737, 46.2097], + [-82.0084, 29.676], + [-82.0177, 29.6878], + [-149.6106, 68.6307] ] }, "properties": { diff --git a/catalog/summaries/models/model_items/example_BKandel.json b/catalog/summaries/models/model_items/example_BKandel.json index 4349d819eb..dce485a683 100644 --- a/catalog/summaries/models/model_items/example_BKandel.json +++ b/catalog/summaries/models/model_items/example_BKandel.json @@ -16,13 +16,13 @@ "geometry": { "type": "MultiPoint", "coordinates": [ - [-82.0084, 29.676], - [-82.0177, 29.6878], - [-149.6106, 68.6307], [-89.4737, 46.2097], [-89.7048, 45.9983], [-99.1139, 47.1591], - [-99.2531, 47.1298] + [-99.2531, 47.1298], + [-82.0084, 29.676], + [-82.0177, 29.6878], + [-149.6106, 68.6307] ] }, "properties": { diff --git a/catalog/summaries/models/model_items/example_ID.json b/catalog/summaries/models/model_items/example_ID.json index dd0e9523fb..3de7b8a57d 100644 --- a/catalog/summaries/models/model_items/example_ID.json +++ b/catalog/summaries/models/model_items/example_ID.json @@ -19,10 +19,10 @@ [-89.7048, 45.9983], [-99.1139, 47.1591], [-99.2531, 47.1298], + [-89.4737, 46.2097], [-82.0084, 29.676], [-82.0177, 29.6878], - [-149.6106, 68.6307], - [-89.4737, 46.2097] + [-149.6106, 68.6307] ] }, "properties": { diff --git a/catalog/summaries/models/model_items/example_ID_VickeryFirstForecast_wUC.json b/catalog/summaries/models/model_items/example_ID_VickeryFirstForecast_wUC.json index fc390f1a56..e427880abf 100644 --- a/catalog/summaries/models/model_items/example_ID_VickeryFirstForecast_wUC.json +++ b/catalog/summaries/models/model_items/example_ID_VickeryFirstForecast_wUC.json @@ -16,12 +16,12 @@ "geometry": { "type": "MultiPoint", "coordinates": [ - [-82.0177, 29.6878], - [-149.6106, 68.6307], - [-82.0084, 29.676], [-89.7048, 45.9983], [-99.1139, 47.1591], [-99.2531, 47.1298], + [-82.0084, 29.676], + [-82.0177, 29.6878], + [-149.6106, 68.6307], [-89.4737, 46.2097] ] }, diff --git a/catalog/summaries/models/model_items/example_ID_airtempANDprecipadjusted.json b/catalog/summaries/models/model_items/example_ID_airtempANDprecipadjusted.json index 25feb384e1..9e5b1ca33f 100644 --- a/catalog/summaries/models/model_items/example_ID_airtempANDprecipadjusted.json +++ b/catalog/summaries/models/model_items/example_ID_airtempANDprecipadjusted.json @@ -16,13 +16,13 @@ "geometry": { "type": "MultiPoint", "coordinates": [ - [-82.0084, 29.676], - [-82.0177, 29.6878], - [-149.6106, 68.6307], + [-89.4737, 46.2097], [-89.7048, 45.9983], [-99.1139, 47.1591], [-99.2531, 47.1298], - [-89.4737, 46.2097] + [-82.0084, 29.676], + [-82.0177, 29.6878], + [-149.6106, 68.6307] ] }, "properties": { diff --git a/catalog/summaries/models/model_items/example_WP_SP24.json b/catalog/summaries/models/model_items/example_WP_SP24.json index dd0916cbf9..85355c0de7 100644 --- a/catalog/summaries/models/model_items/example_WP_SP24.json +++ b/catalog/summaries/models/model_items/example_WP_SP24.json @@ -16,13 +16,13 @@ "geometry": { "type": "MultiPoint", "coordinates": [ - [-82.0084, 29.676], - [-82.0177, 29.6878], - [-149.6106, 68.6307], + [-89.4737, 46.2097], [-89.7048, 45.9983], [-99.1139, 47.1591], [-99.2531, 47.1298], - [-89.4737, 46.2097] + [-82.0084, 29.676], + [-82.0177, 29.6878], + [-149.6106, 68.6307] ] }, "properties": { diff --git a/catalog/summaries/models/model_items/example_WP_SP24_Uncertainty.json b/catalog/summaries/models/model_items/example_WP_SP24_Uncertainty.json index deac181279..fbb928aec6 100644 --- a/catalog/summaries/models/model_items/example_WP_SP24_Uncertainty.json +++ b/catalog/summaries/models/model_items/example_WP_SP24_Uncertainty.json @@ -16,12 +16,12 @@ "geometry": { "type": "MultiPoint", "coordinates": [ - [-82.0084, 29.676], - [-82.0177, 29.6878], - [-149.6106, 68.6307], [-89.7048, 45.9983], [-99.1139, 47.1591], [-99.2531, 47.1298], + [-82.0084, 29.676], + [-82.0177, 29.6878], + [-149.6106, 68.6307], [-89.4737, 46.2097] ] }, diff --git a/catalog/summaries/models/model_items/example_climatology.json b/catalog/summaries/models/model_items/example_climatology.json index 21ae3cb5d0..140940326d 100644 --- a/catalog/summaries/models/model_items/example_climatology.json +++ b/catalog/summaries/models/model_items/example_climatology.json @@ -19,10 +19,10 @@ [-89.7048, 45.9983], [-99.1139, 47.1591], [-99.2531, 47.1298], - [-89.4737, 46.2097], [-82.0084, 29.676], [-82.0177, 29.6878], - [-149.6106, 68.6307] + [-149.6106, 68.6307], + [-89.4737, 46.2097] ] }, "properties": { diff --git a/catalog/summaries/models/model_items/example_faasr.json b/catalog/summaries/models/model_items/example_faasr.json index b6dc902764..d17d4874d5 100644 --- a/catalog/summaries/models/model_items/example_faasr.json +++ b/catalog/summaries/models/model_items/example_faasr.json @@ -16,17 +16,14 @@ "geometry": { "type": "MultiPoint", "coordinates": [ - [-102.4471, 39.7582], - [-66.7987, 18.1741], - [-77.9832, 39.0956], - [-82.0084, 29.676], - [-96.443, 38.9459], - [-149.143, 68.6698], - [-97.7823, 33.3785], - [-82.0177, 29.6878], - [-149.6106, 68.6307], - [-147.504, 65.1532], - [-105.5442, 40.035], + [-66.9868, 18.1135], + [-84.4374, 31.1854], + [-72.3295, 42.4719], + [-96.6038, 39.1051], + [-87.4077, 32.9604], + [-122.1655, 44.2596], + [-78.1473, 38.8943], + [-87.7982, 32.5415], [-89.7048, 45.9983], [-121.9338, 45.7908], [-99.1139, 47.1591], @@ -42,14 +39,17 @@ [-110.5871, 44.9501], [-96.6242, 34.4442], [-89.4737, 46.2097], - [-66.9868, 18.1135], - [-84.4374, 31.1854], - [-72.3295, 42.4719], - [-96.6038, 39.1051], - [-87.4077, 32.9604], - [-122.1655, 44.2596], - [-78.1473, 38.8943], - [-87.7982, 32.5415] + [-102.4471, 39.7582], + [-66.7987, 18.1741], + [-77.9832, 39.0956], + [-82.0084, 29.676], + [-96.443, 38.9459], + [-149.143, 68.6698], + [-97.7823, 33.3785], + [-82.0177, 29.6878], + [-149.6106, 68.6307], + [-147.504, 65.1532], + [-105.5442, 40.035] ] }, "properties": { diff --git a/catalog/summaries/models/model_items/fARIMA.json b/catalog/summaries/models/model_items/fARIMA.json index 6b1c70ccff..40b55571c3 100644 --- a/catalog/summaries/models/model_items/fARIMA.json +++ b/catalog/summaries/models/model_items/fARIMA.json @@ -16,14 +16,16 @@ "geometry": { "type": "MultiPoint", "coordinates": [ - [-89.7048, 45.9983], - [-121.9338, 45.7908], - [-99.1139, 47.1591], - [-99.2531, 47.1298], - [-111.7979, 40.7839], - [-119.0274, 36.9559], - [-88.1589, 31.8534], - [-105.9154, 39.8914], + [-87.7982, 32.5415], + [-66.9868, 18.1135], + [-84.4374, 31.1854], + [-72.3295, 42.4719], + [-96.6038, 39.1051], + [-87.4077, 32.9604], + [-122.1655, 44.2596], + [-78.1473, 38.8943], + [-147.504, 65.1532], + [-105.5442, 40.035], [-66.7987, 18.1741], [-77.9832, 39.0956], [-96.443, 38.9459], @@ -33,27 +35,25 @@ [-149.6106, 68.6307], [-102.4471, 39.7582], [-82.0084, 29.676], - [-147.504, 65.1532], - [-105.5442, 40.035], - [-72.3295, 42.4719], - [-96.6038, 39.1051], - [-87.4077, 32.9604], - [-122.1655, 44.2596], - [-78.1473, 38.8943], - [-87.7982, 32.5415], - [-66.9868, 18.1135], - [-84.4374, 31.1854], + [-89.7048, 45.9983], + [-121.9338, 45.7908], + [-99.1139, 47.1591], + [-99.2531, 47.1298], + [-111.7979, 40.7839], + [-119.0274, 36.9559], + [-88.1589, 31.8534], + [-105.9154, 39.8914], + [-89.4737, 46.2097], [-83.5038, 35.6904], [-111.5081, 33.751], [-84.2793, 35.9574], [-119.2575, 37.0597], [-110.5871, 44.9501], - [-96.6242, 34.4442], - [-89.4737, 46.2097] + [-96.6242, 34.4442] ] }, "properties": { - "description": "\nmodel info: NA\n\nSites: LIRO, MART, PRLA, PRPO, REDB, TECR, TOMB, WLOU, GUIL, LEWI, MCDI, OKSR, PRIN, SUGG, TOOK, ARIK, BARC, CARI, COMO, HOPB, KING, MAYF, MCRA, POSE, BLWA, CUPE, FLNT, LECO, SYCA, WALK, BIGC, BLDE, BLUE, CRAM\n\nVariables: Daily Water_temperature", + "description": "\nmodel info: NA\n\nSites: BLWA, CUPE, FLNT, HOPB, KING, MAYF, MCRA, POSE, CARI, COMO, GUIL, LEWI, MCDI, OKSR, PRIN, SUGG, TOOK, ARIK, BARC, LIRO, MART, PRLA, PRPO, REDB, TECR, TOMB, WLOU, CRAM, LECO, SYCA, WALK, BIGC, BLDE, BLUE\n\nVariables: Daily Water_temperature", "start_datetime": "2023-01-08", "end_datetime": "2024-05-15", "providers": [ diff --git a/catalog/summaries/models/model_items/fARIMA_clim_ensemble.json b/catalog/summaries/models/model_items/fARIMA_clim_ensemble.json index fdd139d16a..b1316f41dd 100644 --- a/catalog/summaries/models/model_items/fARIMA_clim_ensemble.json +++ b/catalog/summaries/models/model_items/fARIMA_clim_ensemble.json @@ -16,41 +16,41 @@ "geometry": { "type": "MultiPoint", "coordinates": [ + [-87.7982, 32.5415], + [-96.6038, 39.1051], + [-87.4077, 32.9604], + [-122.1655, 44.2596], + [-66.9868, 18.1135], + [-84.4374, 31.1854], + [-72.3295, 42.4719], + [-78.1473, 38.8943], + [-102.4471, 39.7582], + [-82.0084, 29.676], + [-105.5442, 40.035], + [-97.7823, 33.3785], + [-82.0177, 29.6878], + [-77.9832, 39.0956], + [-96.443, 38.9459], + [-66.7987, 18.1741], + [-84.2793, 35.9574], [-110.5871, 44.9501], [-96.6242, 34.4442], - [-119.2575, 37.0597], - [-83.5038, 35.6904], - [-84.2793, 35.9574], [-111.5081, 33.751], + [-83.5038, 35.6904], + [-119.2575, 37.0597], [-89.4737, 46.2097], - [-121.9338, 45.7908], - [-111.7979, 40.7839], [-105.9154, 39.8914], - [-119.0274, 36.9559], + [-111.7979, 40.7839], + [-121.9338, 45.7908], [-88.1589, 31.8534], + [-119.0274, 36.9559], [-89.7048, 45.9983], [-99.1139, 47.1591], - [-99.2531, 47.1298], - [-105.5442, 40.035], - [-66.7987, 18.1741], - [-77.9832, 39.0956], - [-96.443, 38.9459], - [-102.4471, 39.7582], - [-82.0084, 29.676], - [-97.7823, 33.3785], - [-82.0177, 29.6878], - [-66.9868, 18.1135], - [-84.4374, 31.1854], - [-72.3295, 42.4719], - [-96.6038, 39.1051], - [-87.4077, 32.9604], - [-122.1655, 44.2596], - [-78.1473, 38.8943], - [-87.7982, 32.5415] + [-99.2531, 47.1298] ] }, "properties": { - "description": "\nmodel info: NA\n\nSites: BLDE, BLUE, BIGC, LECO, WALK, SYCA, CRAM, MART, REDB, WLOU, TECR, TOMB, LIRO, PRLA, PRPO, COMO, GUIL, LEWI, MCDI, ARIK, BARC, PRIN, SUGG, CUPE, FLNT, HOPB, KING, MAYF, MCRA, POSE, BLWA\n\nVariables: Daily Water_temperature", + "description": "\nmodel info: NA\n\nSites: BLWA, KING, MAYF, MCRA, CUPE, FLNT, HOPB, POSE, ARIK, BARC, COMO, PRIN, SUGG, LEWI, MCDI, GUIL, WALK, BLDE, BLUE, SYCA, LECO, BIGC, CRAM, WLOU, REDB, MART, TOMB, TECR, LIRO, PRLA, PRPO\n\nVariables: Daily Water_temperature", "start_datetime": "2023-11-10", "end_datetime": "2024-05-10", "providers": [ diff --git a/catalog/summaries/models/model_items/fTSLM_lag.json b/catalog/summaries/models/model_items/fTSLM_lag.json index 2859ef02e1..68bf62d583 100644 --- a/catalog/summaries/models/model_items/fTSLM_lag.json +++ b/catalog/summaries/models/model_items/fTSLM_lag.json @@ -16,44 +16,44 @@ "geometry": { "type": "MultiPoint", "coordinates": [ - [-66.7987, 18.1741], - [-77.9832, 39.0956], - [-96.443, 38.9459], - [-149.143, 68.6698], - [-97.7823, 33.3785], [-82.0177, 29.6878], [-149.6106, 68.6307], [-102.4471, 39.7582], [-82.0084, 29.676], [-147.504, 65.1532], [-105.5442, 40.035], + [-66.7987, 18.1741], + [-77.9832, 39.0956], + [-96.443, 38.9459], + [-149.143, 68.6698], + [-97.7823, 33.3785], + [-99.1139, 47.1591], + [-99.2531, 47.1298], + [-111.7979, 40.7839], + [-119.0274, 36.9559], + [-88.1589, 31.8534], + [-105.9154, 39.8914], + [-89.7048, 45.9983], + [-121.9338, 45.7908], + [-87.7982, 32.5415], + [-66.9868, 18.1135], + [-84.4374, 31.1854], [-72.3295, 42.4719], [-96.6038, 39.1051], [-87.4077, 32.9604], [-122.1655, 44.2596], [-78.1473, 38.8943], - [-87.7982, 32.5415], - [-66.9868, 18.1135], - [-84.4374, 31.1854], - [-83.5038, 35.6904], [-111.5081, 33.751], [-84.2793, 35.9574], [-119.2575, 37.0597], [-110.5871, 44.9501], [-96.6242, 34.4442], [-89.4737, 46.2097], - [-89.7048, 45.9983], - [-121.9338, 45.7908], - [-99.1139, 47.1591], - [-99.2531, 47.1298], - [-111.7979, 40.7839], - [-119.0274, 36.9559], - [-88.1589, 31.8534], - [-105.9154, 39.8914] + [-83.5038, 35.6904] ] }, "properties": { - "description": "\nmodel info: NA\n\nSites: GUIL, LEWI, MCDI, OKSR, PRIN, SUGG, TOOK, ARIK, BARC, CARI, COMO, HOPB, KING, MAYF, MCRA, POSE, BLWA, CUPE, FLNT, LECO, SYCA, WALK, BIGC, BLDE, BLUE, CRAM, LIRO, MART, PRLA, PRPO, REDB, TECR, TOMB, WLOU\n\nVariables: Daily Water_temperature", + "description": "\nmodel info: NA\n\nSites: SUGG, TOOK, ARIK, BARC, CARI, COMO, GUIL, LEWI, MCDI, OKSR, PRIN, PRLA, PRPO, REDB, TECR, TOMB, WLOU, LIRO, MART, BLWA, CUPE, FLNT, HOPB, KING, MAYF, MCRA, POSE, SYCA, WALK, BIGC, BLDE, BLUE, CRAM, LECO\n\nVariables: Daily Water_temperature", "start_datetime": "2023-01-08", "end_datetime": "2024-05-15", "providers": [ diff --git a/catalog/summaries/models/model_items/flareGLM.json b/catalog/summaries/models/model_items/flareGLM.json index 86981eb712..f5f1735a83 100644 --- a/catalog/summaries/models/model_items/flareGLM.json +++ b/catalog/summaries/models/model_items/flareGLM.json @@ -16,17 +16,17 @@ "geometry": { "type": "MultiPoint", "coordinates": [ + [-89.4737, 46.2097], [-82.0177, 29.6878], [-82.0084, 29.676], [-149.6106, 68.6307], - [-89.4737, 46.2097], [-99.2531, 47.1298], [-89.7048, 45.9983], [-99.1139, 47.1591] ] }, "properties": { - "description": "\nmodel info: NA\n\nSites: SUGG, BARC, TOOK, CRAM, PRPO, LIRO, PRLA\n\nVariables: Daily Water_temperature", + "description": "\nmodel info: NA\n\nSites: CRAM, SUGG, BARC, TOOK, PRPO, LIRO, PRLA\n\nVariables: Daily Water_temperature", "start_datetime": "2023-01-02", "end_datetime": "2024-05-15", "providers": [ diff --git a/catalog/summaries/models/model_items/flareGLM_noDA.json b/catalog/summaries/models/model_items/flareGLM_noDA.json index ddf9d84af0..9dcfaa06cb 100644 --- a/catalog/summaries/models/model_items/flareGLM_noDA.json +++ b/catalog/summaries/models/model_items/flareGLM_noDA.json @@ -17,8 +17,8 @@ "type": "MultiPoint", "coordinates": [ [-149.6106, 68.6307], - [-82.0177, 29.6878], [-82.0084, 29.676], + [-82.0177, 29.6878], [-89.4737, 46.2097], [-89.7048, 45.9983], [-99.1139, 47.1591], @@ -26,7 +26,7 @@ ] }, "properties": { - "description": "\nmodel info: NA\n\nSites: TOOK, SUGG, BARC, CRAM, LIRO, PRLA, PRPO\n\nVariables: Daily Water_temperature", + "description": "\nmodel info: NA\n\nSites: TOOK, BARC, SUGG, CRAM, LIRO, PRLA, PRPO\n\nVariables: Daily Water_temperature", "start_datetime": "2023-03-02", "end_datetime": "2024-05-15", "providers": [ diff --git a/catalog/summaries/models/model_items/flareGOTM_noDA.json b/catalog/summaries/models/model_items/flareGOTM_noDA.json index 42e18c6565..86b7bcad40 100644 --- a/catalog/summaries/models/model_items/flareGOTM_noDA.json +++ b/catalog/summaries/models/model_items/flareGOTM_noDA.json @@ -16,17 +16,17 @@ "geometry": { "type": "MultiPoint", "coordinates": [ - [-89.4737, 46.2097], + [-99.2531, 47.1298], [-89.7048, 45.9983], [-99.1139, 47.1591], - [-99.2531, 47.1298], [-82.0084, 29.676], [-82.0177, 29.6878], - [-149.6106, 68.6307] + [-149.6106, 68.6307], + [-89.4737, 46.2097] ] }, "properties": { - "description": "\nmodel info: NA\n\nSites: CRAM, LIRO, PRLA, PRPO, BARC, SUGG, TOOK\n\nVariables: Daily Water_temperature", + "description": "\nmodel info: NA\n\nSites: PRPO, LIRO, PRLA, BARC, SUGG, TOOK, CRAM\n\nVariables: Daily Water_temperature", "start_datetime": "2023-03-08", "end_datetime": "2024-03-20", "providers": [ diff --git a/catalog/summaries/models/model_items/flareSimstrat.json b/catalog/summaries/models/model_items/flareSimstrat.json index d52f437010..e85bf87281 100644 --- a/catalog/summaries/models/model_items/flareSimstrat.json +++ b/catalog/summaries/models/model_items/flareSimstrat.json @@ -16,12 +16,12 @@ "geometry": { "type": "MultiPoint", "coordinates": [ - [-82.0084, 29.676], [-82.0177, 29.6878], - [-89.7048, 45.9983], - [-99.1139, 47.1591], + [-82.0084, 29.676], + [-89.4737, 46.2097], [-99.2531, 47.1298], - [-89.4737, 46.2097] + [-89.7048, 45.9983], + [-99.1139, 47.1591] ] }, "properties": { diff --git a/catalog/summaries/models/model_items/flareSimstrat_noDA.json b/catalog/summaries/models/model_items/flareSimstrat_noDA.json index 4013a7f9e8..81988104db 100644 --- a/catalog/summaries/models/model_items/flareSimstrat_noDA.json +++ b/catalog/summaries/models/model_items/flareSimstrat_noDA.json @@ -16,16 +16,16 @@ "geometry": { "type": "MultiPoint", "coordinates": [ - [-82.0084, 29.676], - [-82.0177, 29.6878], - [-149.6106, 68.6307], [-99.1139, 47.1591], [-99.2531, 47.1298], - [-89.4737, 46.2097] + [-89.4737, 46.2097], + [-82.0084, 29.676], + [-82.0177, 29.6878], + [-149.6106, 68.6307] ] }, "properties": { - "description": "\nmodel info: NA\n\nSites: BARC, SUGG, TOOK, PRLA, PRPO, CRAM\n\nVariables: Daily Water_temperature", + "description": "\nmodel info: NA\n\nSites: PRLA, PRPO, CRAM, BARC, SUGG, TOOK\n\nVariables: Daily Water_temperature", "start_datetime": "2023-03-08", "end_datetime": "2024-03-19", "providers": [ diff --git a/catalog/summaries/models/model_items/flare_ler.json b/catalog/summaries/models/model_items/flare_ler.json index 46b1264756..62b9514d87 100644 --- a/catalog/summaries/models/model_items/flare_ler.json +++ b/catalog/summaries/models/model_items/flare_ler.json @@ -16,16 +16,16 @@ "geometry": { "type": "MultiPoint", "coordinates": [ - [-89.4737, 46.2097], - [-82.0084, 29.676], [-82.0177, 29.6878], + [-82.0084, 29.676], + [-89.4737, 46.2097], [-89.7048, 45.9983], [-99.1139, 47.1591], [-99.2531, 47.1298] ] }, "properties": { - "description": "\nmodel info: NA\n\nSites: CRAM, BARC, SUGG, LIRO, PRLA, PRPO\n\nVariables: Daily Water_temperature", + "description": "\nmodel info: NA\n\nSites: SUGG, BARC, CRAM, LIRO, PRLA, PRPO\n\nVariables: Daily Water_temperature", "start_datetime": "2023-11-14", "end_datetime": "2024-03-19", "providers": [ diff --git a/catalog/summaries/models/model_items/flare_ler_baselines.json b/catalog/summaries/models/model_items/flare_ler_baselines.json index c2462f036c..306c56f43d 100644 --- a/catalog/summaries/models/model_items/flare_ler_baselines.json +++ b/catalog/summaries/models/model_items/flare_ler_baselines.json @@ -16,12 +16,12 @@ "geometry": { "type": "MultiPoint", "coordinates": [ - [-82.0177, 29.6878], - [-82.0084, 29.676] + [-82.0084, 29.676], + [-82.0177, 29.6878] ] }, "properties": { - "description": "\nmodel info: NA\n\nSites: SUGG, BARC\n\nVariables: Daily Water_temperature", + "description": "\nmodel info: NA\n\nSites: BARC, SUGG\n\nVariables: Daily Water_temperature", "start_datetime": "2023-11-14", "end_datetime": "2024-03-19", "providers": [ diff --git a/catalog/summaries/models/model_items/hotdeck.json b/catalog/summaries/models/model_items/hotdeck.json index 31d3f11b62..faeadab9cd 100644 --- a/catalog/summaries/models/model_items/hotdeck.json +++ b/catalog/summaries/models/model_items/hotdeck.json @@ -16,31 +16,31 @@ "geometry": { "type": "MultiPoint", "coordinates": [ - [-88.1589, 31.8534], - [-111.7979, 40.7839], - [-119.0274, 36.9559], - [-105.9154, 39.8914], [-82.0084, 29.676], [-82.0177, 29.6878], [-97.7823, 33.3785], [-77.9832, 39.0956], [-102.4471, 39.7582], [-105.5442, 40.035], - [-111.5081, 33.751], - [-83.5038, 35.6904], - [-110.5871, 44.9501], - [-119.2575, 37.0597], + [-88.1589, 31.8534], + [-111.7979, 40.7839], + [-119.0274, 36.9559], + [-105.9154, 39.8914], [-87.7982, 32.5415], [-84.4374, 31.1854], + [-122.1655, 44.2596], [-96.6038, 39.1051], [-78.1473, 38.8943], [-87.4077, 32.9604], - [-122.1655, 44.2596], - [-72.3295, 42.4719] + [-72.3295, 42.4719], + [-111.5081, 33.751], + [-83.5038, 35.6904], + [-110.5871, 44.9501], + [-119.2575, 37.0597] ] }, "properties": { - "description": "\nmodel info: Uses a hot deck approach: - Take the latest observation/forecast. - Past observations from around the same window of the season are collected. - Values close to the latest observation/forecast are collected. - One of these is randomly sampled. - Its \"tomorrow\" observation is used as the forecast. - Repeat until forecast at step h.\n\nSites: TOMB, REDB, TECR, WLOU, BARC, SUGG, PRIN, LEWI, ARIK, COMO, SYCA, LECO, BLDE, BIGC, BLWA, FLNT, KING, POSE, MAYF, MCRA, HOPB\n\nVariables: Daily Water_temperature, Daily Dissolved_oxygen", + "description": "\nmodel info: Uses a hot deck approach: - Take the latest observation/forecast. - Past observations from around the same window of the season are collected. - Values close to the latest observation/forecast are collected. - One of these is randomly sampled. - Its \"tomorrow\" observation is used as the forecast. - Repeat until forecast at step h.\n\nSites: BARC, SUGG, PRIN, LEWI, ARIK, COMO, TOMB, REDB, TECR, WLOU, BLWA, FLNT, MCRA, KING, POSE, MAYF, HOPB, SYCA, LECO, BLDE, BIGC\n\nVariables: Daily Water_temperature, Daily Dissolved_oxygen", "start_datetime": "2024-02-28", "end_datetime": "2024-05-11", "providers": [ diff --git a/catalog/summaries/models/model_items/lasso.json b/catalog/summaries/models/model_items/lasso.json index b76dd4bdf1..895797929e 100644 --- a/catalog/summaries/models/model_items/lasso.json +++ b/catalog/summaries/models/model_items/lasso.json @@ -16,6 +16,18 @@ "geometry": { "type": "MultiPoint", "coordinates": [ + [-147.5026, 65.154], + [-97.57, 33.4012], + [-99.1066, 47.1617], + [-145.7514, 63.8811], + [-106.8425, 32.5907], + [-96.5631, 39.1008], + [-99.0588, 35.4106], + [-78.1395, 38.8929], + [-89.5864, 45.5089], + [-103.0293, 40.4619], + [-95.1921, 39.0404], + [-110.5391, 44.9535], [-78.0418, 39.0337], [-81.4362, 28.1251], [-66.8687, 17.9696], @@ -40,18 +52,6 @@ [-87.3933, 32.9505], [-149.3705, 68.6611], [-89.5373, 46.2339], - [-147.5026, 65.154], - [-97.57, 33.4012], - [-99.1066, 47.1617], - [-145.7514, 63.8811], - [-106.8425, 32.5907], - [-96.5631, 39.1008], - [-99.0588, 35.4106], - [-78.1395, 38.8929], - [-89.5864, 45.5089], - [-103.0293, 40.4619], - [-95.1921, 39.0404], - [-110.5391, 44.9535], [-122.3303, 45.7624], [-83.5019, 35.689], [-88.1612, 31.8539], @@ -91,8 +91,8 @@ "keywords": [ "Forecasting", "neon4cast", - "Daily Net_ecosystem_exchange", - "Daily latent_heat_flux" + "Daily latent_heat_flux", + "Daily Net_ecosystem_exchange" ], "table:columns": [ { @@ -229,16 +229,16 @@ "description": "The link to the model code provided by the model submission team" }, "3": { - "type": "application/x-parquet", - "title": "Database Access for Daily Net_ecosystem_exchange", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=nee/model_id=lasso?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=nee/model_id=lasso?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" - }, - "4": { "type": "application/x-parquet", "title": "Database Access for Daily latent_heat_flux", "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=le/model_id=lasso?endpoint_override=sdsc.osn.xsede.org", "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=le/model_id=lasso?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + }, + "4": { + "type": "application/x-parquet", + "title": "Database Access for Daily Net_ecosystem_exchange", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=nee/model_id=lasso?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=nee/model_id=lasso?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" } } } diff --git a/catalog/summaries/models/model_items/lm_AT_WTL_WS.json b/catalog/summaries/models/model_items/lm_AT_WTL_WS.json index b0701e96fc..316c51b6b6 100644 --- a/catalog/summaries/models/model_items/lm_AT_WTL_WS.json +++ b/catalog/summaries/models/model_items/lm_AT_WTL_WS.json @@ -17,16 +17,16 @@ "type": "MultiPoint", "coordinates": [ [-89.4737, 46.2097], - [-89.7048, 45.9983], - [-99.1139, 47.1591], - [-99.2531, 47.1298], [-82.0084, 29.676], [-82.0177, 29.6878], - [-149.6106, 68.6307] + [-149.6106, 68.6307], + [-89.7048, 45.9983], + [-99.1139, 47.1591], + [-99.2531, 47.1298] ] }, "properties": { - "description": "\nmodel info: This forecast of water temperature at NEON Lake sites uses a linear model, incorporating air temperature, wind speed, and the previous day's forecasted water temperature as variables.\n\nSites: CRAM, LIRO, PRLA, PRPO, BARC, SUGG, TOOK\n\nVariables: Daily Water_temperature", + "description": "\nmodel info: This forecast of water temperature at NEON Lake sites uses a linear model, incorporating air temperature, wind speed, and the previous day's forecasted water temperature as variables.\n\nSites: CRAM, BARC, SUGG, TOOK, LIRO, PRLA, PRPO\n\nVariables: Daily Water_temperature", "start_datetime": "2024-03-01", "end_datetime": "2024-05-11", "providers": [ diff --git a/catalog/summaries/models/model_items/mean.json b/catalog/summaries/models/model_items/mean.json index fdaf75f34a..850342d45a 100644 --- a/catalog/summaries/models/model_items/mean.json +++ b/catalog/summaries/models/model_items/mean.json @@ -16,53 +16,53 @@ "geometry": { "type": "MultiPoint", "coordinates": [ - [-109.3883, 38.2483], [-66.8687, 17.9696], [-72.1727, 42.5369], - [-155.3173, 19.5531], + [-76.56, 38.8901], [-119.7323, 37.1088], + [-109.3883, 38.2483], + [-67.0769, 18.0213], [-99.2413, 47.1282], - [-76.56, 38.8901], - [-81.4362, 28.1251], [-78.0418, 39.0337], - [-67.0769, 18.0213], - [-145.7514, 63.8811], - [-103.0293, 40.4619], - [-99.0588, 35.4106], - [-89.5864, 45.5089], + [-81.4362, 28.1251], + [-155.3173, 19.5531], + [-83.5019, 35.689], + [-88.1612, 31.8539], + [-80.5248, 37.3783], + [-119.2622, 37.0334], + [-89.5857, 45.4937], + [-119.006, 37.0058], + [-100.9154, 46.7697], + [-121.9519, 45.8205], + [-84.2826, 35.9641], + [-105.5824, 40.0543], + [-122.3303, 45.7624], + [-95.1921, 39.0404], + [-78.1395, 38.8929], [-97.57, 33.4012], - [-147.5026, 65.154], + [-89.5864, 45.5089], [-110.5391, 44.9535], - [-99.1066, 47.1617], - [-78.1395, 38.8929], - [-95.1921, 39.0404], [-96.5631, 39.1008], [-106.8425, 32.5907], - [-87.8039, 32.5417], - [-87.3933, 32.9505], - [-149.2133, 63.8758], - [-112.4524, 40.1776], - [-84.4686, 31.1948], - [-105.546, 40.2759], + [-99.0588, 35.4106], + [-103.0293, 40.4619], + [-145.7514, 63.8811], + [-147.5026, 65.154], + [-99.1066, 47.1617], [-110.8355, 31.9107], [-89.5373, 46.2339], [-104.7456, 40.8155], + [-149.2133, 63.8758], + [-84.4686, 31.1948], [-149.3705, 68.6611], + [-71.2874, 44.0639], + [-112.4524, 40.1776], + [-156.6194, 71.2824], [-81.9934, 29.6893], + [-87.3933, 32.9505], [-96.6129, 39.1104], - [-156.6194, 71.2824], - [-71.2874, 44.0639], - [-105.5824, 40.0543], - [-100.9154, 46.7697], - [-119.006, 37.0058], - [-122.3303, 45.7624], - [-119.2622, 37.0334], - [-89.5857, 45.4937], - [-121.9519, 45.8205], - [-88.1612, 31.8539], - [-80.5248, 37.3783], - [-84.2826, 35.9641], - [-83.5019, 35.689] + [-87.8039, 32.5417], + [-105.546, 40.2759] ] }, "properties": { diff --git a/catalog/summaries/models/model_items/mkricheldorf_w_lag.json b/catalog/summaries/models/model_items/mkricheldorf_w_lag.json index 3ecb9c2ccc..bb29cae62e 100644 --- a/catalog/summaries/models/model_items/mkricheldorf_w_lag.json +++ b/catalog/summaries/models/model_items/mkricheldorf_w_lag.json @@ -19,14 +19,14 @@ [-82.0084, 29.676], [-82.0177, 29.6878], [-149.6106, 68.6307], - [-89.4737, 46.2097], [-89.7048, 45.9983], [-99.1139, 47.1591], - [-99.2531, 47.1298] + [-99.2531, 47.1298], + [-89.4737, 46.2097] ] }, "properties": { - "description": "\nmodel info: I used an autoregressive linear model using the lm() function\n\nSites: BARC, SUGG, TOOK, CRAM, LIRO, PRLA, PRPO\n\nVariables: Daily Water_temperature", + "description": "\nmodel info: I used an autoregressive linear model using the lm() function\n\nSites: BARC, SUGG, TOOK, LIRO, PRLA, PRPO, CRAM\n\nVariables: Daily Water_temperature", "start_datetime": "2024-03-06", "end_datetime": "2024-05-15", "providers": [ diff --git a/catalog/summaries/models/model_items/mlp1_wtempforecast_LF.json b/catalog/summaries/models/model_items/mlp1_wtempforecast_LF.json index af04d673cd..909f005e38 100644 --- a/catalog/summaries/models/model_items/mlp1_wtempforecast_LF.json +++ b/catalog/summaries/models/model_items/mlp1_wtempforecast_LF.json @@ -16,17 +16,17 @@ "geometry": { "type": "MultiPoint", "coordinates": [ + [-89.7048, 45.9983], + [-99.1139, 47.1591], + [-99.2531, 47.1298], [-82.0084, 29.676], [-82.0177, 29.6878], [-149.6106, 68.6307], - [-89.4737, 46.2097], - [-89.7048, 45.9983], - [-99.1139, 47.1591], - [-99.2531, 47.1298] + [-89.4737, 46.2097] ] }, "properties": { - "description": "\nmodel info: Modelling for water temperature using a single layer neural network (mlp() in tidymodels). Used relative humidity, precipitation flux and air temperature as drivers. Hypertuned parameters for models to be run with 100 epochs and penalty value of 0.01.\n\nSites: BARC, SUGG, TOOK, CRAM, LIRO, PRLA, PRPO\n\nVariables: Daily Water_temperature", + "description": "\nmodel info: Modelling for water temperature using a single layer neural network (mlp() in tidymodels). Used relative humidity, precipitation flux and air temperature as drivers. Hypertuned parameters for models to be run with 100 epochs and penalty value of 0.01.\n\nSites: LIRO, PRLA, PRPO, BARC, SUGG, TOOK, CRAM\n\nVariables: Daily Water_temperature", "start_datetime": "2024-03-01", "end_datetime": "2024-05-14", "providers": [ diff --git a/catalog/summaries/models/model_items/neon4cast_example.json b/catalog/summaries/models/model_items/neon4cast_example.json index 808c85f92c..69b8087906 100644 --- a/catalog/summaries/models/model_items/neon4cast_example.json +++ b/catalog/summaries/models/model_items/neon4cast_example.json @@ -24,13 +24,6 @@ [-87.4077, 32.9604], [-122.1655, 44.2596], [-78.1473, 38.8943], - [-119.2575, 37.0597], - [-110.5871, 44.9501], - [-96.6242, 34.4442], - [-89.4737, 46.2097], - [-83.5038, 35.6904], - [-111.5081, 33.751], - [-84.2793, 35.9574], [-102.4471, 39.7582], [-82.0084, 29.676], [-147.504, 65.1532], @@ -42,8 +35,15 @@ [-97.7823, 33.3785], [-82.0177, 29.6878], [-149.6106, 68.6307], - [-105.9154, 39.8914], + [-119.2575, 37.0597], + [-110.5871, 44.9501], + [-96.6242, 34.4442], + [-89.4737, 46.2097], + [-83.5038, 35.6904], + [-111.5081, 33.751], + [-84.2793, 35.9574], [-89.7048, 45.9983], + [-105.9154, 39.8914], [-121.9338, 45.7908], [-99.1139, 47.1591], [-99.2531, 47.1298], diff --git a/catalog/summaries/models/model_items/new_example_ID.json b/catalog/summaries/models/model_items/new_example_ID.json index ce9e77eb03..95f9baf6b8 100644 --- a/catalog/summaries/models/model_items/new_example_ID.json +++ b/catalog/summaries/models/model_items/new_example_ID.json @@ -19,10 +19,10 @@ [-82.0084, 29.676], [-82.0177, 29.6878], [-149.6106, 68.6307], + [-89.4737, 46.2097], [-89.7048, 45.9983], [-99.1139, 47.1591], - [-99.2531, 47.1298], - [-89.4737, 46.2097] + [-99.2531, 47.1298] ] }, "properties": { diff --git a/catalog/summaries/models/model_items/null.json b/catalog/summaries/models/model_items/null.json index 34bd894416..5203af7536 100644 --- a/catalog/summaries/models/model_items/null.json +++ b/catalog/summaries/models/model_items/null.json @@ -16,17 +16,32 @@ "geometry": { "type": "MultiPoint", "coordinates": [ + [-119.2575, 37.0597], + [-110.5871, 44.9501], + [-96.6242, 34.4442], + [-89.4737, 46.2097], + [-83.5038, 35.6904], + [-111.5081, 33.751], + [-84.2793, 35.9574], + [-102.4471, 39.7582], + [-82.0084, 29.676], + [-147.504, 65.1532], + [-105.5442, 40.035], [-66.7987, 18.1741], [-77.9832, 39.0956], [-96.443, 38.9459], [-149.143, 68.6698], [-97.7823, 33.3785], - [-102.4471, 39.7582], - [-82.0084, 29.676], - [-147.504, 65.1532], - [-105.5442, 40.035], [-82.0177, 29.6878], [-149.6106, 68.6307], + [-87.7982, 32.5415], + [-66.9868, 18.1135], + [-84.4374, 31.1854], + [-72.3295, 42.4719], + [-96.6038, 39.1051], + [-87.4077, 32.9604], + [-122.1655, 44.2596], + [-78.1473, 38.8943], [-89.7048, 45.9983], [-121.9338, 45.7908], [-99.1139, 47.1591], @@ -34,22 +49,7 @@ [-111.7979, 40.7839], [-119.0274, 36.9559], [-88.1589, 31.8534], - [-105.9154, 39.8914], - [-83.5038, 35.6904], - [-119.2575, 37.0597], - [-110.5871, 44.9501], - [-96.6242, 34.4442], - [-89.4737, 46.2097], - [-111.5081, 33.751], - [-84.2793, 35.9574], - [-84.4374, 31.1854], - [-72.3295, 42.4719], - [-96.6038, 39.1051], - [-87.4077, 32.9604], - [-122.1655, 44.2596], - [-78.1473, 38.8943], - [-87.7982, 32.5415], - [-66.9868, 18.1135] + [-105.9154, 39.8914] ] }, "properties": { @@ -78,8 +78,8 @@ "keywords": [ "Forecasting", "neon4cast", - "Daily Water_temperature", - "Daily Dissolved_oxygen" + "Daily Dissolved_oxygen", + "Daily Water_temperature" ], "table:columns": [ { @@ -216,16 +216,16 @@ "description": "The link to the model code provided by the model submission team" }, "3": { - "type": "application/x-parquet", - "title": "Database Access for Daily Water_temperature", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=temperature/model_id=null?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=temperature/model_id=null?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" - }, - "4": { "type": "application/x-parquet", "title": "Database Access for Daily Dissolved_oxygen", "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=oxygen/model_id=null?endpoint_override=sdsc.osn.xsede.org", "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=oxygen/model_id=null?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + }, + "4": { + "type": "application/x-parquet", + "title": "Database Access for Daily Water_temperature", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=temperature/model_id=null?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=temperature/model_id=null?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" } } } diff --git a/catalog/summaries/models/model_items/persistenceRW.json b/catalog/summaries/models/model_items/persistenceRW.json index 3e41876ce1..6b3ca94b9c 100644 --- a/catalog/summaries/models/model_items/persistenceRW.json +++ b/catalog/summaries/models/model_items/persistenceRW.json @@ -20,66 +20,67 @@ [-99.1139, 47.1591], [-99.2531, 47.1298], [-88.1589, 31.8534], + [-121.9338, 45.7908], + [-119.0274, 36.9559], + [-105.9154, 39.8914], + [-111.7979, 40.7839], + [-104.7456, 40.8155], + [-87.8039, 32.5417], [-149.2133, 63.8758], - [-84.4686, 31.1948], - [-96.6129, 39.1104], - [-87.3933, 32.9505], + [-156.6194, 71.2824], + [-71.2874, 44.0639], [-149.3705, 68.6611], [-89.5373, 46.2339], + [-84.4686, 31.1948], + [-96.6129, 39.1104], + [-110.8355, 31.9107], [-112.4524, 40.1776], [-81.9934, 29.6893], - [-110.8355, 31.9107], + [-87.3933, 32.9505], [-105.546, 40.2759], - [-87.8039, 32.5417], - [-104.7456, 40.8155], - [-119.0274, 36.9559], - [-105.9154, 39.8914], - [-121.9338, 45.7908], - [-111.7979, 40.7839], - [-156.6194, 71.2824], - [-71.2874, 44.0639], [], [], - [-89.4737, 46.2097], - [-119.006, 37.0058], - [-89.5857, 45.4937], - [-88.1612, 31.8539], - [-80.5248, 37.3783], - [-105.5824, 40.0543], - [-100.9154, 46.7697], - [-121.9519, 45.8205], - [-84.2826, 35.9641], - [-119.2622, 37.0334], - [-83.5019, 35.689], - [-111.5081, 33.751], - [-84.2793, 35.9574], - [-119.2575, 37.0597], - [-110.5871, 44.9501], - [-96.6242, 34.4442], - [-83.5038, 35.6904], - [-122.3303, 45.7624], - [], + [-87.7982, 32.5415], + [-84.4374, 31.1854], + [-87.4077, 32.9604], + [-66.9868, 18.1135], + [-72.3295, 42.4719], + [-96.6038, 39.1051], + [-147.5026, 65.154], + [-97.57, 33.4012], + [-99.1066, 47.1617], + [-145.7514, 63.8811], + [-95.1921, 39.0404], + [-110.5391, 44.9535], + [-106.8425, 32.5907], + [-96.5631, 39.1008], + [-89.5864, 45.5089], + [-103.0293, 40.4619], + [-99.0588, 35.4106], + [-78.1395, 38.8929], + [-122.1655, 44.2596], + [-78.1473, 38.8943], [-82.0177, 29.6878], [-149.6106, 68.6307], [-82.0084, 29.676], - [-67.0769, 18.0213], - [-109.3883, 38.2483], - [-99.2413, 47.1282], - [-119.7323, 37.1088], - [-155.3173, 19.5531], - [-76.56, 38.8901], - [-81.4362, 28.1251], - [-66.8687, 17.9696], - [-72.1727, 42.5369], [-102.4471, 39.7582], [-77.9832, 39.0956], [-147.504, 65.1532], [-105.5442, 40.035], [-66.7987, 18.1741], [-97.7823, 33.3785], + [-81.4362, 28.1251], + [-66.8687, 17.9696], + [-72.1727, 42.5369], + [-78.0418, 39.0337], + [-99.2413, 47.1282], + [-67.0769, 18.0213], + [-109.3883, 38.2483], + [-119.7323, 37.1088], + [-155.3173, 19.5531], + [-76.56, 38.8901], [-96.443, 38.9459], [-149.143, 68.6698], - [-78.0418, 39.0337], [], [], [], @@ -87,30 +88,29 @@ [], [], [], - [-87.7982, 32.5415], - [-84.4374, 31.1854], - [-106.8425, 32.5907], - [-96.5631, 39.1008], - [-95.1921, 39.0404], - [-110.5391, 44.9535], - [-99.0588, 35.4106], - [-89.5864, 45.5089], - [-103.0293, 40.4619], - [-78.1395, 38.8929], - [-147.5026, 65.154], - [-97.57, 33.4012], - [-99.1066, 47.1617], - [-145.7514, 63.8811], - [-96.6038, 39.1051], - [-87.4077, 32.9604], - [-66.9868, 18.1135], - [-72.3295, 42.4719], - [-122.1655, 44.2596], - [-78.1473, 38.8943] + [-89.4737, 46.2097], + [-119.2575, 37.0597], + [-110.5871, 44.9501], + [-96.6242, 34.4442], + [-83.5038, 35.6904], + [-111.5081, 33.751], + [-84.2793, 35.9574], + [-83.5019, 35.689], + [-122.3303, 45.7624], + [-119.006, 37.0058], + [-89.5857, 45.4937], + [-121.9519, 45.8205], + [-88.1612, 31.8539], + [-80.5248, 37.3783], + [-105.5824, 40.0543], + [-100.9154, 46.7697], + [-119.2622, 37.0334], + [-84.2826, 35.9641], + [] ] }, "properties": { - "description": "\nmodel info: NA\n\nSites: LIRO, PRLA, PRPO, TOMB, HEAL, JERC, KONA, TALL, TOOL, UNDE, ONAQ, OSBS, SRER, RMNP, DELA, CPER, TECR, WLOU, MART, REDB, BARR, BART, USGS-05586300, USGS-14211720, CRAM, TEAK, TREE, LENO, MLBS, NIWO, NOGP, WREF, ORNL, SOAP, GRSM, SYCA, WALK, BIGC, BLDE, BLUE, LECO, ABBY, USGS-14211010, SUGG, TOOK, BARC, LAJA, MOAB, WOOD, SJER, PUUM, SERC, DSNY, GUAN, HARV, ARIK, LEWI, CARI, COMO, GUIL, PRIN, MCDI, OKSR, BLAN, USGS-01427510, USGS-01463500, USGS-05543010, USGS-05549500, USGS-05553700, USGS-05558300, USGS-14181500, BLWA, FLNT, JORN, KONZ, UKFS, YELL, OAES, STEI, STER, SCBI, BONA, CLBJ, DCFS, DEJU, KING, MAYF, CUPE, HOPB, MCRA, POSE\n\nVariables: Daily Water_temperature, Daily Green_chromatic_coordinate, Daily Red_chromatic_coordinate, Daily Net_ecosystem_exchange, Daily Chlorophyll_a, Daily Chlorophyll_a, Daily Dissolved_oxygen", + "description": "\nmodel info: NA\n\nSites: LIRO, PRLA, PRPO, TOMB, MART, TECR, WLOU, REDB, CPER, DELA, HEAL, BARR, BART, TOOL, UNDE, JERC, KONA, SRER, ONAQ, OSBS, TALL, RMNP, USGS-05586300, USGS-14211720, BLWA, FLNT, MAYF, CUPE, HOPB, KING, BONA, CLBJ, DCFS, DEJU, UKFS, YELL, JORN, KONZ, STEI, STER, OAES, SCBI, MCRA, POSE, SUGG, TOOK, BARC, ARIK, LEWI, CARI, COMO, GUIL, PRIN, DSNY, GUAN, HARV, BLAN, WOOD, LAJA, MOAB, SJER, PUUM, SERC, MCDI, OKSR, USGS-01427510, USGS-01463500, USGS-05543010, USGS-05549500, USGS-05553700, USGS-05558300, USGS-14181500, CRAM, BIGC, BLDE, BLUE, LECO, SYCA, WALK, GRSM, ABBY, TEAK, TREE, WREF, LENO, MLBS, NIWO, NOGP, SOAP, ORNL, USGS-14211010\n\nVariables: Daily Dissolved_oxygen, Daily Water_temperature, Daily Green_chromatic_coordinate, Daily Net_ecosystem_exchange, Daily Chlorophyll_a, Daily Chlorophyll_a, Daily Red_chromatic_coordinate", "start_datetime": "2023-11-15", "end_datetime": "2024-05-15", "providers": [ @@ -135,13 +135,13 @@ "keywords": [ "Forecasting", "neon4cast", + "Daily Dissolved_oxygen", "Daily Water_temperature", "Daily Green_chromatic_coordinate", - "Daily Red_chromatic_coordinate", "Daily Net_ecosystem_exchange", "Daily Chlorophyll_a", "Daily Chlorophyll_a", - "Daily Dissolved_oxygen" + "Daily Red_chromatic_coordinate" ], "table:columns": [ { @@ -278,23 +278,23 @@ "description": "The link to the model code provided by the model submission team" }, "3": { + "type": "application/x-parquet", + "title": "Database Access for Daily Dissolved_oxygen", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=oxygen/model_id=persistenceRW?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=oxygen/model_id=persistenceRW?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + }, + "4": { "type": "application/x-parquet", "title": "Database Access for Daily Water_temperature", "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=temperature/model_id=persistenceRW?endpoint_override=sdsc.osn.xsede.org", "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=temperature/model_id=persistenceRW?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, - "4": { + "5": { "type": "application/x-parquet", "title": "Database Access for Daily Green_chromatic_coordinate", "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=gcc_90/model_id=persistenceRW?endpoint_override=sdsc.osn.xsede.org", "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=gcc_90/model_id=persistenceRW?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, - "5": { - "type": "application/x-parquet", - "title": "Database Access for Daily Red_chromatic_coordinate", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=rcc_90/model_id=persistenceRW?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=rcc_90/model_id=persistenceRW?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" - }, "6": { "type": "application/x-parquet", "title": "Database Access for Daily Net_ecosystem_exchange", @@ -304,20 +304,20 @@ "7": { "type": "application/x-parquet", "title": "Database Access for Daily Chlorophyll_a", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=usgsrc4cast/duration=P1D/variable=chla/model_id=persistenceRW?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=usgsrc4cast/duration=P1D/variable=chla/model_id=persistenceRW?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=chla/model_id=persistenceRW?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=chla/model_id=persistenceRW?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, "8": { "type": "application/x-parquet", "title": "Database Access for Daily Chlorophyll_a", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=chla/model_id=persistenceRW?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=chla/model_id=persistenceRW?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=usgsrc4cast/duration=P1D/variable=chla/model_id=persistenceRW?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=usgsrc4cast/duration=P1D/variable=chla/model_id=persistenceRW?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, "9": { "type": "application/x-parquet", - "title": "Database Access for Daily Dissolved_oxygen", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=oxygen/model_id=persistenceRW?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=oxygen/model_id=persistenceRW?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + "title": "Database Access for Daily Red_chromatic_coordinate", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=rcc_90/model_id=persistenceRW?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=rcc_90/model_id=persistenceRW?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" } } } diff --git a/catalog/summaries/models/model_items/precip_mod.json b/catalog/summaries/models/model_items/precip_mod.json index a241a687e6..13eb78058f 100644 --- a/catalog/summaries/models/model_items/precip_mod.json +++ b/catalog/summaries/models/model_items/precip_mod.json @@ -16,17 +16,17 @@ "geometry": { "type": "MultiPoint", "coordinates": [ + [-89.4737, 46.2097], [-82.0084, 29.676], [-82.0177, 29.6878], [-149.6106, 68.6307], - [-89.4737, 46.2097], [-89.7048, 45.9983], [-99.1139, 47.1591], [-99.2531, 47.1298] ] }, "properties": { - "description": "\nmodel info: NA\n\nSites: BARC, SUGG, TOOK, CRAM, LIRO, PRLA, PRPO\n\nVariables: Daily Water_temperature", + "description": "\nmodel info: NA\n\nSites: CRAM, BARC, SUGG, TOOK, LIRO, PRLA, PRPO\n\nVariables: Daily Water_temperature", "start_datetime": "2023-12-21", "end_datetime": "2024-01-24", "providers": [ diff --git a/catalog/summaries/models/model_items/procBlanchardMonod.json b/catalog/summaries/models/model_items/procBlanchardMonod.json index e38eb310be..92f57f8df8 100644 --- a/catalog/summaries/models/model_items/procBlanchardMonod.json +++ b/catalog/summaries/models/model_items/procBlanchardMonod.json @@ -17,16 +17,16 @@ "type": "MultiPoint", "coordinates": [ [-89.4737, 46.2097], - [-82.0084, 29.676], - [-82.0177, 29.6878], - [-149.6106, 68.6307], [-89.7048, 45.9983], [-99.1139, 47.1591], - [-99.2531, 47.1298] + [-99.2531, 47.1298], + [-82.0084, 29.676], + [-82.0177, 29.6878], + [-149.6106, 68.6307] ] }, "properties": { - "description": "\nmodel info: NA\n\nSites: CRAM, BARC, SUGG, TOOK, LIRO, PRLA, PRPO\n\nVariables: Daily Chlorophyll_a", + "description": "\nmodel info: NA\n\nSites: CRAM, LIRO, PRLA, PRPO, BARC, SUGG, TOOK\n\nVariables: Daily Chlorophyll_a", "start_datetime": "2023-11-13", "end_datetime": "2024-03-06", "providers": [ diff --git a/catalog/summaries/models/model_items/procCTMIMonod.json b/catalog/summaries/models/model_items/procCTMIMonod.json index 88ad206d5e..7c8a14d998 100644 --- a/catalog/summaries/models/model_items/procCTMIMonod.json +++ b/catalog/summaries/models/model_items/procCTMIMonod.json @@ -16,17 +16,17 @@ "geometry": { "type": "MultiPoint", "coordinates": [ - [-89.7048, 45.9983], - [-99.1139, 47.1591], - [-99.2531, 47.1298], + [-89.4737, 46.2097], [-82.0084, 29.676], [-82.0177, 29.6878], [-149.6106, 68.6307], - [-89.4737, 46.2097] + [-89.7048, 45.9983], + [-99.1139, 47.1591], + [-99.2531, 47.1298] ] }, "properties": { - "description": "\nmodel info: NA\n\nSites: LIRO, PRLA, PRPO, BARC, SUGG, TOOK, CRAM\n\nVariables: Daily Chlorophyll_a", + "description": "\nmodel info: NA\n\nSites: CRAM, BARC, SUGG, TOOK, LIRO, PRLA, PRPO\n\nVariables: Daily Chlorophyll_a", "start_datetime": "2023-11-13", "end_datetime": "2024-03-06", "providers": [ diff --git a/catalog/summaries/models/model_items/procCTMISteele.json b/catalog/summaries/models/model_items/procCTMISteele.json index bd61afe747..3d3d444dce 100644 --- a/catalog/summaries/models/model_items/procCTMISteele.json +++ b/catalog/summaries/models/model_items/procCTMISteele.json @@ -16,13 +16,13 @@ "geometry": { "type": "MultiPoint", "coordinates": [ - [-82.0084, 29.676], - [-82.0177, 29.6878], - [-149.6106, 68.6307], [-89.7048, 45.9983], [-99.1139, 47.1591], [-99.2531, 47.1298], - [-89.4737, 46.2097] + [-89.4737, 46.2097], + [-82.0084, 29.676], + [-82.0177, 29.6878], + [-149.6106, 68.6307] ] }, "properties": { diff --git a/catalog/summaries/models/model_items/procEppleyNorbergMonod.json b/catalog/summaries/models/model_items/procEppleyNorbergMonod.json index 0bc885c6e4..8f008a6436 100644 --- a/catalog/summaries/models/model_items/procEppleyNorbergMonod.json +++ b/catalog/summaries/models/model_items/procEppleyNorbergMonod.json @@ -19,14 +19,14 @@ [-82.0084, 29.676], [-82.0177, 29.6878], [-149.6106, 68.6307], + [-89.4737, 46.2097], [-89.7048, 45.9983], [-99.1139, 47.1591], - [-99.2531, 47.1298], - [-89.4737, 46.2097] + [-99.2531, 47.1298] ] }, "properties": { - "description": "\nmodel info: NA\n\nSites: BARC, SUGG, TOOK, LIRO, PRLA, PRPO, CRAM\n\nVariables: Daily Chlorophyll_a", + "description": "\nmodel info: NA\n\nSites: BARC, SUGG, TOOK, CRAM, LIRO, PRLA, PRPO\n\nVariables: Daily Chlorophyll_a", "start_datetime": "2023-11-13", "end_datetime": "2024-03-06", "providers": [ diff --git a/catalog/summaries/models/model_items/procEppleyNorbergSteele.json b/catalog/summaries/models/model_items/procEppleyNorbergSteele.json index 49af0421f8..8f4451d717 100644 --- a/catalog/summaries/models/model_items/procEppleyNorbergSteele.json +++ b/catalog/summaries/models/model_items/procEppleyNorbergSteele.json @@ -16,17 +16,17 @@ "geometry": { "type": "MultiPoint", "coordinates": [ - [-82.0084, 29.676], - [-82.0177, 29.6878], - [-149.6106, 68.6307], [-89.4737, 46.2097], [-89.7048, 45.9983], [-99.1139, 47.1591], - [-99.2531, 47.1298] + [-99.2531, 47.1298], + [-82.0084, 29.676], + [-82.0177, 29.6878], + [-149.6106, 68.6307] ] }, "properties": { - "description": "\nmodel info: NA\n\nSites: BARC, SUGG, TOOK, CRAM, LIRO, PRLA, PRPO\n\nVariables: Daily Chlorophyll_a", + "description": "\nmodel info: NA\n\nSites: CRAM, LIRO, PRLA, PRPO, BARC, SUGG, TOOK\n\nVariables: Daily Chlorophyll_a", "start_datetime": "2023-11-13", "end_datetime": "2024-03-06", "providers": [ diff --git a/catalog/summaries/models/model_items/procHinshelwoodSteele.json b/catalog/summaries/models/model_items/procHinshelwoodSteele.json index 692f1b66ec..e081da83d2 100644 --- a/catalog/summaries/models/model_items/procHinshelwoodSteele.json +++ b/catalog/summaries/models/model_items/procHinshelwoodSteele.json @@ -16,17 +16,17 @@ "geometry": { "type": "MultiPoint", "coordinates": [ - [-89.7048, 45.9983], - [-99.1139, 47.1591], - [-99.2531, 47.1298], + [-89.4737, 46.2097], [-82.0084, 29.676], [-82.0177, 29.6878], [-149.6106, 68.6307], - [-89.4737, 46.2097] + [-89.7048, 45.9983], + [-99.1139, 47.1591], + [-99.2531, 47.1298] ] }, "properties": { - "description": "\nmodel info: NA\n\nSites: LIRO, PRLA, PRPO, BARC, SUGG, TOOK, CRAM\n\nVariables: Daily Chlorophyll_a", + "description": "\nmodel info: NA\n\nSites: CRAM, BARC, SUGG, TOOK, LIRO, PRLA, PRPO\n\nVariables: Daily Chlorophyll_a", "start_datetime": "2023-11-13", "end_datetime": "2024-03-06", "providers": [ diff --git a/catalog/summaries/models/model_items/prophet_clim_ensemble.json b/catalog/summaries/models/model_items/prophet_clim_ensemble.json index 19715ba55d..3d40818ab7 100644 --- a/catalog/summaries/models/model_items/prophet_clim_ensemble.json +++ b/catalog/summaries/models/model_items/prophet_clim_ensemble.json @@ -16,6 +16,16 @@ "geometry": { "type": "MultiPoint", "coordinates": [ + [-97.57, 33.4012], + [-99.1066, 47.1617], + [-106.8425, 32.5907], + [-96.5631, 39.1008], + [-99.0588, 35.4106], + [-78.1395, 38.8929], + [-89.5864, 45.5089], + [-103.0293, 40.4619], + [-95.1921, 39.0404], + [-110.5391, 44.9535], [-122.3303, 45.7624], [-83.5019, 35.689], [-88.1612, 31.8539], @@ -47,17 +57,7 @@ [-105.546, 40.2759], [-110.8355, 31.9107], [-87.3933, 32.9505], - [-89.5373, 46.2339], - [-97.57, 33.4012], - [-99.1066, 47.1617], - [-106.8425, 32.5907], - [-96.5631, 39.1008], - [-99.0588, 35.4106], - [-78.1395, 38.8929], - [-89.5864, 45.5089], - [-103.0293, 40.4619], - [-95.1921, 39.0404], - [-110.5391, 44.9535] + [-89.5373, 46.2339] ] }, "properties": { diff --git a/catalog/summaries/models/model_items/randfor.json b/catalog/summaries/models/model_items/randfor.json index f920cee459..71658228b9 100644 --- a/catalog/summaries/models/model_items/randfor.json +++ b/catalog/summaries/models/model_items/randfor.json @@ -16,17 +16,7 @@ "geometry": { "type": "MultiPoint", "coordinates": [ - [-122.3303, 45.7624], - [-83.5019, 35.689], - [-88.1612, 31.8539], - [-80.5248, 37.3783], - [-105.5824, 40.0543], - [-100.9154, 46.7697], - [-84.2826, 35.9641], - [-119.2622, 37.0334], - [-119.006, 37.0058], - [-89.5857, 45.4937], - [-121.9519, 45.8205], + [-99.2413, 47.1282], [-78.0418, 39.0337], [-81.4362, 28.1251], [-66.8687, 17.9696], @@ -36,7 +26,21 @@ [-155.3173, 19.5531], [-76.56, 38.8901], [-119.7323, 37.1088], - [-99.2413, 47.1282], + [-119.2622, 37.0334], + [-119.006, 37.0058], + [-89.5857, 45.4937], + [-121.9519, 45.8205], + [-122.3303, 45.7624], + [-83.5019, 35.689], + [-88.1612, 31.8539], + [-80.5248, 37.3783], + [-105.5824, 40.0543], + [-100.9154, 46.7697], + [-84.2826, 35.9641], + [-89.5864, 45.5089], + [-103.0293, 40.4619], + [-95.1921, 39.0404], + [-110.5391, 44.9535], [-147.5026, 65.154], [-97.57, 33.4012], [-99.1066, 47.1617], @@ -45,10 +49,10 @@ [-96.5631, 39.1008], [-99.0588, 35.4106], [-78.1395, 38.8929], - [-89.5864, 45.5089], - [-103.0293, 40.4619], - [-95.1921, 39.0404], - [-110.5391, 44.9535], + [-110.8355, 31.9107], + [-87.3933, 32.9505], + [-149.3705, 68.6611], + [-89.5373, 46.2339], [-156.6194, 71.2824], [-71.2874, 44.0639], [-104.7456, 40.8155], @@ -58,11 +62,7 @@ [-96.6129, 39.1104], [-112.4524, 40.1776], [-81.9934, 29.6893], - [-105.546, 40.2759], - [-110.8355, 31.9107], - [-87.3933, 32.9505], - [-149.3705, 68.6611], - [-89.5373, 46.2339] + [-105.546, 40.2759] ] }, "properties": { diff --git a/catalog/summaries/models/model_items/sujan_ID.json b/catalog/summaries/models/model_items/sujan_ID.json index ad48bd4043..d60c14622d 100644 --- a/catalog/summaries/models/model_items/sujan_ID.json +++ b/catalog/summaries/models/model_items/sujan_ID.json @@ -16,13 +16,13 @@ "geometry": { "type": "MultiPoint", "coordinates": [ + [-89.4737, 46.2097], [-89.7048, 45.9983], [-99.1139, 47.1591], [-99.2531, 47.1298], [-82.0084, 29.676], [-82.0177, 29.6878], - [-149.6106, 68.6307], - [-89.4737, 46.2097] + [-149.6106, 68.6307] ] }, "properties": { diff --git a/catalog/summaries/models/model_items/tg_arima.json b/catalog/summaries/models/model_items/tg_arima.json index b2c4478195..50bba48407 100644 --- a/catalog/summaries/models/model_items/tg_arima.json +++ b/catalog/summaries/models/model_items/tg_arima.json @@ -16,56 +16,16 @@ "geometry": { "type": "MultiPoint", "coordinates": [ - [-88.1612, 31.8539], - [-80.5248, 37.3783], - [-105.5824, 40.0543], - [-100.9154, 46.7697], - [-84.2826, 35.9641], - [-119.2622, 37.0334], - [-119.006, 37.0058], - [-89.5857, 45.4937], - [-121.9519, 45.8205], - [-122.3303, 45.7624], - [-83.5019, 35.689], - [-119.2575, 37.0597], - [-110.5871, 44.9501], - [-96.6242, 34.4442], - [-89.4737, 46.2097], - [-83.5038, 35.6904], - [-111.5081, 33.751], - [-84.2793, 35.9574], - [-112.4524, 40.1776], - [-81.9934, 29.6893], - [-105.546, 40.2759], - [-110.8355, 31.9107], - [-87.3933, 32.9505], - [-149.3705, 68.6611], - [-89.5373, 46.2339], - [-156.6194, 71.2824], - [-71.2874, 44.0639], - [-104.7456, 40.8155], - [-87.8039, 32.5417], - [-149.2133, 63.8758], - [-84.4686, 31.1948], - [-96.6129, 39.1104], - [-89.7048, 45.9983], - [-121.9338, 45.7908], - [-99.1139, 47.1591], - [-99.2531, 47.1298], - [-111.7979, 40.7839], - [-119.0274, 36.9559], - [-88.1589, 31.8534], - [-105.9154, 39.8914], - [-67.0769, 18.0213], - [-109.3883, 38.2483], - [-155.3173, 19.5531], - [-76.56, 38.8901], - [-119.7323, 37.1088], [-99.2413, 47.1282], [-78.0418, 39.0337], [-81.4362, 28.1251], [-66.8687, 17.9696], [-72.1727, 42.5369], + [-67.0769, 18.0213], + [-109.3883, 38.2483], + [-155.3173, 19.5531], + [-76.56, 38.8901], + [-119.7323, 37.1088], [-102.4471, 39.7582], [-82.0084, 29.676], [-147.504, 65.1532], @@ -77,18 +37,18 @@ [-97.7823, 33.3785], [-82.0177, 29.6878], [-149.6106, 68.6307], - [-96.5631, 39.1008], - [-99.0588, 35.4106], - [-78.1395, 38.8929], - [-89.5864, 45.5089], - [-103.0293, 40.4619], - [-95.1921, 39.0404], [-110.5391, 44.9535], [-147.5026, 65.154], [-97.57, 33.4012], [-99.1066, 47.1617], [-145.7514, 63.8811], [-106.8425, 32.5907], + [-96.5631, 39.1008], + [-99.0588, 35.4106], + [-78.1395, 38.8929], + [-89.5864, 45.5089], + [-103.0293, 40.4619], + [-95.1921, 39.0404], [-87.7982, 32.5415], [-66.9868, 18.1135], [-84.4374, 31.1854], @@ -96,11 +56,51 @@ [-96.6038, 39.1051], [-87.4077, 32.9604], [-122.1655, 44.2596], - [-78.1473, 38.8943] + [-78.1473, 38.8943], + [-89.5373, 46.2339], + [-156.6194, 71.2824], + [-71.2874, 44.0639], + [-104.7456, 40.8155], + [-87.8039, 32.5417], + [-149.2133, 63.8758], + [-84.4686, 31.1948], + [-96.6129, 39.1104], + [-112.4524, 40.1776], + [-81.9934, 29.6893], + [-105.546, 40.2759], + [-110.8355, 31.9107], + [-87.3933, 32.9505], + [-149.3705, 68.6611], + [-89.7048, 45.9983], + [-121.9338, 45.7908], + [-99.1139, 47.1591], + [-99.2531, 47.1298], + [-111.7979, 40.7839], + [-119.0274, 36.9559], + [-88.1589, 31.8534], + [-105.9154, 39.8914], + [-121.9519, 45.8205], + [-122.3303, 45.7624], + [-83.5019, 35.689], + [-88.1612, 31.8539], + [-80.5248, 37.3783], + [-105.5824, 40.0543], + [-100.9154, 46.7697], + [-84.2826, 35.9641], + [-119.2622, 37.0334], + [-119.006, 37.0058], + [-89.5857, 45.4937], + [-119.2575, 37.0597], + [-110.5871, 44.9501], + [-96.6242, 34.4442], + [-89.4737, 46.2097], + [-83.5038, 35.6904], + [-111.5081, 33.751], + [-84.2793, 35.9574] ] }, "properties": { - "description": "\nmodel info: NA\n\nSites: LENO, MLBS, NIWO, NOGP, ORNL, SOAP, TEAK, TREE, WREF, ABBY, GRSM, BIGC, BLDE, BLUE, CRAM, LECO, SYCA, WALK, ONAQ, OSBS, RMNP, SRER, TALL, TOOL, UNDE, BARR, BART, CPER, DELA, HEAL, JERC, KONA, LIRO, MART, PRLA, PRPO, REDB, TECR, TOMB, WLOU, LAJA, MOAB, PUUM, SERC, SJER, WOOD, BLAN, DSNY, GUAN, HARV, ARIK, BARC, CARI, COMO, GUIL, LEWI, MCDI, OKSR, PRIN, SUGG, TOOK, KONZ, OAES, SCBI, STEI, STER, UKFS, YELL, BONA, CLBJ, DCFS, DEJU, JORN, BLWA, CUPE, FLNT, HOPB, KING, MAYF, MCRA, POSE\n\nVariables: Daily Water_temperature, Daily Green_chromatic_coordinate, Daily Net_ecosystem_exchange, Daily Chlorophyll_a, Daily Red_chromatic_coordinate, Weekly beetle_community_abundance, Weekly Amblyomma_americanum_population, Daily latent_heat_flux, Weekly beetle_community_richness, Daily Dissolved_oxygen", + "description": "\nmodel info: NA\n\nSites: WOOD, BLAN, DSNY, GUAN, HARV, LAJA, MOAB, PUUM, SERC, SJER, ARIK, BARC, CARI, COMO, GUIL, LEWI, MCDI, OKSR, PRIN, SUGG, TOOK, YELL, BONA, CLBJ, DCFS, DEJU, JORN, KONZ, OAES, SCBI, STEI, STER, UKFS, BLWA, CUPE, FLNT, HOPB, KING, MAYF, MCRA, POSE, UNDE, BARR, BART, CPER, DELA, HEAL, JERC, KONA, ONAQ, OSBS, RMNP, SRER, TALL, TOOL, LIRO, MART, PRLA, PRPO, REDB, TECR, TOMB, WLOU, WREF, ABBY, GRSM, LENO, MLBS, NIWO, NOGP, ORNL, SOAP, TEAK, TREE, BIGC, BLDE, BLUE, CRAM, LECO, SYCA, WALK\n\nVariables: Daily Water_temperature, Daily latent_heat_flux, Daily Dissolved_oxygen, Weekly beetle_community_richness, Daily Green_chromatic_coordinate, Weekly beetle_community_abundance, Daily Net_ecosystem_exchange, Daily Red_chromatic_coordinate, Weekly Amblyomma_americanum_population, Daily Chlorophyll_a", "start_datetime": "2023-01-01", "end_datetime": "2024-12-30", "providers": [ @@ -126,15 +126,15 @@ "Forecasting", "neon4cast", "Daily Water_temperature", + "Daily latent_heat_flux", + "Daily Dissolved_oxygen", + "Weekly beetle_community_richness", "Daily Green_chromatic_coordinate", + "Weekly beetle_community_abundance", "Daily Net_ecosystem_exchange", - "Daily Chlorophyll_a", "Daily Red_chromatic_coordinate", - "Weekly beetle_community_abundance", "Weekly Amblyomma_americanum_population", - "Daily latent_heat_flux", - "Weekly beetle_community_richness", - "Daily Dissolved_oxygen" + "Daily Chlorophyll_a" ], "table:columns": [ { @@ -278,27 +278,27 @@ }, "4": { "type": "application/x-parquet", - "title": "Database Access for Daily Green_chromatic_coordinate", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=gcc_90/model_id=tg_arima?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=gcc_90/model_id=tg_arima?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + "title": "Database Access for Daily latent_heat_flux", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=le/model_id=tg_arima?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=le/model_id=tg_arima?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, "5": { "type": "application/x-parquet", - "title": "Database Access for Daily Net_ecosystem_exchange", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=nee/model_id=tg_arima?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=nee/model_id=tg_arima?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + "title": "Database Access for Daily Dissolved_oxygen", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=oxygen/model_id=tg_arima?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=oxygen/model_id=tg_arima?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, "6": { "type": "application/x-parquet", - "title": "Database Access for Daily Chlorophyll_a", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=chla/model_id=tg_arima?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=chla/model_id=tg_arima?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + "title": "Database Access for Weekly beetle_community_richness", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=richness/model_id=tg_arima?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=richness/model_id=tg_arima?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, "7": { "type": "application/x-parquet", - "title": "Database Access for Daily Red_chromatic_coordinate", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=rcc_90/model_id=tg_arima?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=rcc_90/model_id=tg_arima?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + "title": "Database Access for Daily Green_chromatic_coordinate", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=gcc_90/model_id=tg_arima?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=gcc_90/model_id=tg_arima?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, "8": { "type": "application/x-parquet", @@ -308,27 +308,27 @@ }, "9": { "type": "application/x-parquet", - "title": "Database Access for Weekly Amblyomma_americanum_population", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=amblyomma_americanum/model_id=tg_arima?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=amblyomma_americanum/model_id=tg_arima?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + "title": "Database Access for Daily Net_ecosystem_exchange", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=nee/model_id=tg_arima?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=nee/model_id=tg_arima?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, "10": { "type": "application/x-parquet", - "title": "Database Access for Daily latent_heat_flux", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=le/model_id=tg_arima?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=le/model_id=tg_arima?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + "title": "Database Access for Daily Red_chromatic_coordinate", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=rcc_90/model_id=tg_arima?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=rcc_90/model_id=tg_arima?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, "11": { "type": "application/x-parquet", - "title": "Database Access for Weekly beetle_community_richness", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=richness/model_id=tg_arima?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=richness/model_id=tg_arima?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + "title": "Database Access for Weekly Amblyomma_americanum_population", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=amblyomma_americanum/model_id=tg_arima?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=amblyomma_americanum/model_id=tg_arima?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, "12": { "type": "application/x-parquet", - "title": "Database Access for Daily Dissolved_oxygen", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=oxygen/model_id=tg_arima?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=oxygen/model_id=tg_arima?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + "title": "Database Access for Daily Chlorophyll_a", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=chla/model_id=tg_arima?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=chla/model_id=tg_arima?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" } } } diff --git a/catalog/summaries/models/model_items/tg_auto_adam.json b/catalog/summaries/models/model_items/tg_auto_adam.json index 1f820bbc53..e467bdb8cd 100644 --- a/catalog/summaries/models/model_items/tg_auto_adam.json +++ b/catalog/summaries/models/model_items/tg_auto_adam.json @@ -16,27 +16,7 @@ "geometry": { "type": "MultiPoint", "coordinates": [ - [-78.0418, 39.0337], - [-81.4362, 28.1251], - [-66.8687, 17.9696], - [-72.1727, 42.5369], - [-67.0769, 18.0213], - [-109.3883, 38.2483], - [-155.3173, 19.5531], - [-76.56, 38.8901], - [-119.7323, 37.1088], - [-99.2413, 47.1282], - [-102.4471, 39.7582], - [-82.0084, 29.676], - [-147.504, 65.1532], - [-105.5442, 40.035], - [-66.7987, 18.1741], - [-77.9832, 39.0956], - [-96.443, 38.9459], - [-149.143, 68.6698], - [-97.7823, 33.3785], - [-82.0177, 29.6878], - [-149.6106, 68.6307], + [-110.5391, 44.9535], [-147.5026, 65.154], [-97.57, 33.4012], [-99.1066, 47.1617], @@ -48,7 +28,6 @@ [-89.5864, 45.5089], [-103.0293, 40.4619], [-95.1921, 39.0404], - [-110.5391, 44.9535], [-87.7982, 32.5415], [-66.9868, 18.1135], [-84.4374, 31.1854], @@ -57,6 +36,7 @@ [-87.4077, 32.9604], [-122.1655, 44.2596], [-78.1473, 38.8943], + [-89.5373, 46.2339], [-156.6194, 71.2824], [-71.2874, 44.0639], [-104.7456, 40.8155], @@ -70,7 +50,6 @@ [-110.8355, 31.9107], [-87.3933, 32.9505], [-149.3705, 68.6611], - [-89.5373, 46.2339], [-89.7048, 45.9983], [-121.9338, 45.7908], [-99.1139, 47.1591], @@ -79,6 +58,28 @@ [-119.0274, 36.9559], [-88.1589, 31.8534], [-105.9154, 39.8914], + [-99.2413, 47.1282], + [-78.0418, 39.0337], + [-81.4362, 28.1251], + [-66.8687, 17.9696], + [-72.1727, 42.5369], + [-67.0769, 18.0213], + [-109.3883, 38.2483], + [-155.3173, 19.5531], + [-76.56, 38.8901], + [-119.7323, 37.1088], + [-102.4471, 39.7582], + [-82.0084, 29.676], + [-147.504, 65.1532], + [-105.5442, 40.035], + [-66.7987, 18.1741], + [-77.9832, 39.0956], + [-96.443, 38.9459], + [-149.143, 68.6698], + [-97.7823, 33.3785], + [-82.0177, 29.6878], + [-149.6106, 68.6307], + [-121.9519, 45.8205], [-122.3303, 45.7624], [-83.5019, 35.689], [-88.1612, 31.8539], @@ -89,7 +90,6 @@ [-119.2622, 37.0334], [-119.006, 37.0058], [-89.5857, 45.4937], - [-121.9519, 45.8205], [-119.2575, 37.0597], [-110.5871, 44.9501], [-96.6242, 34.4442], @@ -128,13 +128,13 @@ "Daily latent_heat_flux", "Weekly beetle_community_richness", "Daily Dissolved_oxygen", - "Daily Water_temperature", "Daily Net_ecosystem_exchange", - "Daily Green_chromatic_coordinate", + "Daily Red_chromatic_coordinate", + "Weekly beetle_community_abundance", "Daily Chlorophyll_a", + "Daily Green_chromatic_coordinate", "Weekly Amblyomma_americanum_population", - "Weekly beetle_community_abundance", - "Daily Red_chromatic_coordinate" + "Daily Water_temperature" ], "table:columns": [ { @@ -289,22 +289,22 @@ "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=oxygen/model_id=tg_auto_adam?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, "6": { - "type": "application/x-parquet", - "title": "Database Access for Daily Water_temperature", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=temperature/model_id=tg_auto_adam?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=temperature/model_id=tg_auto_adam?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" - }, - "7": { "type": "application/x-parquet", "title": "Database Access for Daily Net_ecosystem_exchange", "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=nee/model_id=tg_auto_adam?endpoint_override=sdsc.osn.xsede.org", "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=nee/model_id=tg_auto_adam?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, + "7": { + "type": "application/x-parquet", + "title": "Database Access for Daily Red_chromatic_coordinate", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=rcc_90/model_id=tg_auto_adam?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=rcc_90/model_id=tg_auto_adam?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + }, "8": { "type": "application/x-parquet", - "title": "Database Access for Daily Green_chromatic_coordinate", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=gcc_90/model_id=tg_auto_adam?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=gcc_90/model_id=tg_auto_adam?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + "title": "Database Access for Weekly beetle_community_abundance", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=abundance/model_id=tg_auto_adam?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=abundance/model_id=tg_auto_adam?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, "9": { "type": "application/x-parquet", @@ -314,21 +314,21 @@ }, "10": { "type": "application/x-parquet", - "title": "Database Access for Weekly Amblyomma_americanum_population", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=amblyomma_americanum/model_id=tg_auto_adam?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=amblyomma_americanum/model_id=tg_auto_adam?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + "title": "Database Access for Daily Green_chromatic_coordinate", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=gcc_90/model_id=tg_auto_adam?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=gcc_90/model_id=tg_auto_adam?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, "11": { "type": "application/x-parquet", - "title": "Database Access for Weekly beetle_community_abundance", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=abundance/model_id=tg_auto_adam?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=abundance/model_id=tg_auto_adam?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + "title": "Database Access for Weekly Amblyomma_americanum_population", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=amblyomma_americanum/model_id=tg_auto_adam?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=amblyomma_americanum/model_id=tg_auto_adam?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, "12": { "type": "application/x-parquet", - "title": "Database Access for Daily Red_chromatic_coordinate", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=rcc_90/model_id=tg_auto_adam?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=rcc_90/model_id=tg_auto_adam?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + "title": "Database Access for Daily Water_temperature", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=temperature/model_id=tg_auto_adam?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=temperature/model_id=tg_auto_adam?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" } } } diff --git a/catalog/summaries/models/model_items/tg_bag_mlp.json b/catalog/summaries/models/model_items/tg_bag_mlp.json index 48ab8fabe1..99b94aff71 100644 --- a/catalog/summaries/models/model_items/tg_bag_mlp.json +++ b/catalog/summaries/models/model_items/tg_bag_mlp.json @@ -29,8 +29,8 @@ [-95.1921, 39.0404], [-110.5391, 44.9535], [-87.7982, 32.5415], - [-66.9868, 18.1135], [-84.4374, 31.1854], + [-66.9868, 18.1135], [-72.3295, 42.4719], [-96.6038, 39.1051], [-87.4077, 32.9604], @@ -51,13 +51,13 @@ [-149.3705, 68.6611], [-89.5373, 46.2339], [-89.7048, 45.9983], - [-121.9338, 45.7908], [-99.1139, 47.1591], [-99.2531, 47.1298], - [-111.7979, 40.7839], - [-119.0274, 36.9559], [-88.1589, 31.8534], [-105.9154, 39.8914], + [-121.9338, 45.7908], + [-111.7979, 40.7839], + [-119.0274, 36.9559], [-78.0418, 39.0337], [-81.4362, 28.1251], [-66.8687, 17.9696], @@ -68,8 +68,10 @@ [-76.56, 38.8901], [-119.7323, 37.1088], [-99.2413, 47.1282], - [-102.4471, 39.7582], [-82.0084, 29.676], + [-82.0177, 29.6878], + [-149.6106, 68.6307], + [-102.4471, 39.7582], [-147.504, 65.1532], [-105.5442, 40.035], [-66.7987, 18.1741], @@ -77,8 +79,6 @@ [-96.443, 38.9459], [-149.143, 68.6698], [-97.7823, 33.3785], - [-82.0177, 29.6878], - [-149.6106, 68.6307], [-122.3303, 45.7624], [-83.5019, 35.689], [-88.1612, 31.8539], @@ -90,13 +90,13 @@ [-119.006, 37.0058], [-89.5857, 45.4937], [-121.9519, 45.8205], + [-89.4737, 46.2097], + [-84.2793, 35.9574], [-119.2575, 37.0597], [-110.5871, 44.9501], [-96.6242, 34.4442], - [-89.4737, 46.2097], [-83.5038, 35.6904], - [-111.5081, 33.751], - [-84.2793, 35.9574] + [-111.5081, 33.751] ] }, "properties": { @@ -126,12 +126,12 @@ "Forecasting", "neon4cast", "Daily Water_temperature", - "Daily Dissolved_oxygen", - "Daily latent_heat_flux", + "Daily Net_ecosystem_exchange", "Daily Green_chromatic_coordinate", "Daily Red_chromatic_coordinate", - "Daily Net_ecosystem_exchange", - "Daily Chlorophyll_a" + "Daily Chlorophyll_a", + "Daily latent_heat_flux", + "Daily Dissolved_oxygen" ], "table:columns": [ { @@ -275,39 +275,39 @@ }, "4": { "type": "application/x-parquet", - "title": "Database Access for Daily Dissolved_oxygen", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=oxygen/model_id=tg_bag_mlp?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=oxygen/model_id=tg_bag_mlp?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + "title": "Database Access for Daily Net_ecosystem_exchange", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=nee/model_id=tg_bag_mlp?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=nee/model_id=tg_bag_mlp?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, "5": { - "type": "application/x-parquet", - "title": "Database Access for Daily latent_heat_flux", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=le/model_id=tg_bag_mlp?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=le/model_id=tg_bag_mlp?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" - }, - "6": { "type": "application/x-parquet", "title": "Database Access for Daily Green_chromatic_coordinate", "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=gcc_90/model_id=tg_bag_mlp?endpoint_override=sdsc.osn.xsede.org", "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=gcc_90/model_id=tg_bag_mlp?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, - "7": { + "6": { "type": "application/x-parquet", "title": "Database Access for Daily Red_chromatic_coordinate", "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=rcc_90/model_id=tg_bag_mlp?endpoint_override=sdsc.osn.xsede.org", "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=rcc_90/model_id=tg_bag_mlp?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, + "7": { + "type": "application/x-parquet", + "title": "Database Access for Daily Chlorophyll_a", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=chla/model_id=tg_bag_mlp?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=chla/model_id=tg_bag_mlp?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + }, "8": { "type": "application/x-parquet", - "title": "Database Access for Daily Net_ecosystem_exchange", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=nee/model_id=tg_bag_mlp?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=nee/model_id=tg_bag_mlp?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + "title": "Database Access for Daily latent_heat_flux", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=le/model_id=tg_bag_mlp?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=le/model_id=tg_bag_mlp?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, "9": { "type": "application/x-parquet", - "title": "Database Access for Daily Chlorophyll_a", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=chla/model_id=tg_bag_mlp?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=chla/model_id=tg_bag_mlp?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + "title": "Database Access for Daily Dissolved_oxygen", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=oxygen/model_id=tg_bag_mlp?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=oxygen/model_id=tg_bag_mlp?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" } } } diff --git a/catalog/summaries/models/model_items/tg_ets.json b/catalog/summaries/models/model_items/tg_ets.json index fb1051d070..826a4e313c 100644 --- a/catalog/summaries/models/model_items/tg_ets.json +++ b/catalog/summaries/models/model_items/tg_ets.json @@ -16,24 +16,47 @@ "geometry": { "type": "MultiPoint", "coordinates": [ - [-122.3303, 45.7624], - [-83.5019, 35.689], - [-88.1612, 31.8539], - [-80.5248, 37.3783], - [-105.5824, 40.0543], - [-100.9154, 46.7697], - [-84.2826, 35.9641], - [-119.2622, 37.0334], - [-119.006, 37.0058], - [-89.5857, 45.4937], - [-121.9519, 45.8205], - [-119.2575, 37.0597], - [-110.5871, 44.9501], - [-96.6242, 34.4442], - [-89.4737, 46.2097], - [-83.5038, 35.6904], - [-111.5081, 33.751], - [-84.2793, 35.9574], + [-147.5026, 65.154], + [-97.57, 33.4012], + [-99.1066, 47.1617], + [-145.7514, 63.8811], + [-106.8425, 32.5907], + [-96.5631, 39.1008], + [-99.0588, 35.4106], + [-78.1395, 38.8929], + [-89.5864, 45.5089], + [-103.0293, 40.4619], + [-95.1921, 39.0404], + [-110.5391, 44.9535], + [-87.7982, 32.5415], + [-84.4374, 31.1854], + [-87.4077, 32.9604], + [-122.1655, 44.2596], + [-78.1473, 38.8943], + [-66.9868, 18.1135], + [-72.3295, 42.4719], + [-96.6038, 39.1051], + [-78.0418, 39.0337], + [-81.4362, 28.1251], + [-66.8687, 17.9696], + [-72.1727, 42.5369], + [-67.0769, 18.0213], + [-109.3883, 38.2483], + [-155.3173, 19.5531], + [-76.56, 38.8901], + [-119.7323, 37.1088], + [-99.2413, 47.1282], + [-82.0084, 29.676], + [-82.0177, 29.6878], + [-149.6106, 68.6307], + [-77.9832, 39.0956], + [-96.443, 38.9459], + [-149.143, 68.6698], + [-97.7823, 33.3785], + [-102.4471, 39.7582], + [-147.504, 65.1532], + [-105.5442, 40.035], + [-66.7987, 18.1741], [-156.6194, 71.2824], [-71.2874, 44.0639], [-104.7456, 40.8155], @@ -49,58 +72,35 @@ [-149.3705, 68.6611], [-89.5373, 46.2339], [-89.7048, 45.9983], - [-121.9338, 45.7908], [-99.1139, 47.1591], [-99.2531, 47.1298], + [-88.1589, 31.8534], + [-121.9338, 45.7908], [-111.7979, 40.7839], [-119.0274, 36.9559], - [-88.1589, 31.8534], [-105.9154, 39.8914], - [-78.0418, 39.0337], - [-81.4362, 28.1251], - [-66.8687, 17.9696], - [-72.1727, 42.5369], - [-67.0769, 18.0213], - [-109.3883, 38.2483], - [-155.3173, 19.5531], - [-76.56, 38.8901], - [-119.7323, 37.1088], - [-99.2413, 47.1282], - [-102.4471, 39.7582], - [-82.0084, 29.676], - [-147.504, 65.1532], - [-105.5442, 40.035], - [-66.7987, 18.1741], - [-77.9832, 39.0956], - [-96.443, 38.9459], - [-149.143, 68.6698], - [-97.7823, 33.3785], - [-82.0177, 29.6878], - [-149.6106, 68.6307], - [-147.5026, 65.154], - [-97.57, 33.4012], - [-99.1066, 47.1617], - [-145.7514, 63.8811], - [-106.8425, 32.5907], - [-96.5631, 39.1008], - [-99.0588, 35.4106], - [-78.1395, 38.8929], - [-89.5864, 45.5089], - [-103.0293, 40.4619], - [-95.1921, 39.0404], - [-110.5391, 44.9535], - [-87.7982, 32.5415], - [-66.9868, 18.1135], - [-84.4374, 31.1854], - [-72.3295, 42.4719], - [-96.6038, 39.1051], - [-87.4077, 32.9604], - [-122.1655, 44.2596], - [-78.1473, 38.8943] + [-122.3303, 45.7624], + [-83.5019, 35.689], + [-88.1612, 31.8539], + [-80.5248, 37.3783], + [-105.5824, 40.0543], + [-100.9154, 46.7697], + [-84.2826, 35.9641], + [-119.2622, 37.0334], + [-119.006, 37.0058], + [-89.5857, 45.4937], + [-121.9519, 45.8205], + [-89.4737, 46.2097], + [-83.5038, 35.6904], + [-111.5081, 33.751], + [-84.2793, 35.9574], + [-119.2575, 37.0597], + [-110.5871, 44.9501], + [-96.6242, 34.4442] ] }, "properties": { - "description": "\nmodel info: NA\n\nSites: ABBY, GRSM, LENO, MLBS, NIWO, NOGP, ORNL, SOAP, TEAK, TREE, WREF, BIGC, BLDE, BLUE, CRAM, LECO, SYCA, WALK, BARR, BART, CPER, DELA, HEAL, JERC, KONA, ONAQ, OSBS, RMNP, SRER, TALL, TOOL, UNDE, LIRO, MART, PRLA, PRPO, REDB, TECR, TOMB, WLOU, BLAN, DSNY, GUAN, HARV, LAJA, MOAB, PUUM, SERC, SJER, WOOD, ARIK, BARC, CARI, COMO, GUIL, LEWI, MCDI, OKSR, PRIN, SUGG, TOOK, BONA, CLBJ, DCFS, DEJU, JORN, KONZ, OAES, SCBI, STEI, STER, UKFS, YELL, BLWA, CUPE, FLNT, HOPB, KING, MAYF, MCRA, POSE\n\nVariables: Daily Water_temperature, Daily latent_heat_flux, Daily Dissolved_oxygen, Weekly beetle_community_richness, Daily Chlorophyll_a, Daily Red_chromatic_coordinate, Weekly Amblyomma_americanum_population, Daily Net_ecosystem_exchange, Weekly beetle_community_abundance, Daily Green_chromatic_coordinate", + "description": "\nmodel info: NA\n\nSites: BONA, CLBJ, DCFS, DEJU, JORN, KONZ, OAES, SCBI, STEI, STER, UKFS, YELL, BLWA, FLNT, MAYF, MCRA, POSE, CUPE, HOPB, KING, BLAN, DSNY, GUAN, HARV, LAJA, MOAB, PUUM, SERC, SJER, WOOD, BARC, SUGG, TOOK, LEWI, MCDI, OKSR, PRIN, ARIK, CARI, COMO, GUIL, BARR, BART, CPER, DELA, HEAL, JERC, KONA, ONAQ, OSBS, RMNP, SRER, TALL, TOOL, UNDE, LIRO, PRLA, PRPO, TOMB, MART, REDB, TECR, WLOU, ABBY, GRSM, LENO, MLBS, NIWO, NOGP, ORNL, SOAP, TEAK, TREE, WREF, CRAM, LECO, SYCA, WALK, BIGC, BLDE, BLUE\n\nVariables: Daily Water_temperature, Daily Dissolved_oxygen, Daily latent_heat_flux, Weekly beetle_community_richness, Daily Chlorophyll_a, Daily Green_chromatic_coordinate, Daily Red_chromatic_coordinate, Weekly beetle_community_abundance, Daily Net_ecosystem_exchange, Weekly Amblyomma_americanum_population", "start_datetime": "2023-01-01", "end_datetime": "2024-12-30", "providers": [ @@ -126,15 +126,15 @@ "Forecasting", "neon4cast", "Daily Water_temperature", - "Daily latent_heat_flux", "Daily Dissolved_oxygen", + "Daily latent_heat_flux", "Weekly beetle_community_richness", "Daily Chlorophyll_a", + "Daily Green_chromatic_coordinate", "Daily Red_chromatic_coordinate", - "Weekly Amblyomma_americanum_population", - "Daily Net_ecosystem_exchange", "Weekly beetle_community_abundance", - "Daily Green_chromatic_coordinate" + "Daily Net_ecosystem_exchange", + "Weekly Amblyomma_americanum_population" ], "table:columns": [ { @@ -277,17 +277,17 @@ "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=temperature/model_id=tg_ets?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, "4": { - "type": "application/x-parquet", - "title": "Database Access for Daily latent_heat_flux", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=le/model_id=tg_ets?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=le/model_id=tg_ets?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" - }, - "5": { "type": "application/x-parquet", "title": "Database Access for Daily Dissolved_oxygen", "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=oxygen/model_id=tg_ets?endpoint_override=sdsc.osn.xsede.org", "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=oxygen/model_id=tg_ets?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, + "5": { + "type": "application/x-parquet", + "title": "Database Access for Daily latent_heat_flux", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=le/model_id=tg_ets?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=le/model_id=tg_ets?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + }, "6": { "type": "application/x-parquet", "title": "Database Access for Weekly beetle_community_richness", @@ -301,34 +301,34 @@ "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=chla/model_id=tg_ets?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, "8": { + "type": "application/x-parquet", + "title": "Database Access for Daily Green_chromatic_coordinate", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=gcc_90/model_id=tg_ets?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=gcc_90/model_id=tg_ets?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + }, + "9": { "type": "application/x-parquet", "title": "Database Access for Daily Red_chromatic_coordinate", "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=rcc_90/model_id=tg_ets?endpoint_override=sdsc.osn.xsede.org", "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=rcc_90/model_id=tg_ets?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, - "9": { + "10": { "type": "application/x-parquet", - "title": "Database Access for Weekly Amblyomma_americanum_population", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=amblyomma_americanum/model_id=tg_ets?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=amblyomma_americanum/model_id=tg_ets?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + "title": "Database Access for Weekly beetle_community_abundance", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=abundance/model_id=tg_ets?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=abundance/model_id=tg_ets?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, - "10": { + "11": { "type": "application/x-parquet", "title": "Database Access for Daily Net_ecosystem_exchange", "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=nee/model_id=tg_ets?endpoint_override=sdsc.osn.xsede.org", "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=nee/model_id=tg_ets?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, - "11": { - "type": "application/x-parquet", - "title": "Database Access for Weekly beetle_community_abundance", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=abundance/model_id=tg_ets?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=abundance/model_id=tg_ets?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" - }, "12": { "type": "application/x-parquet", - "title": "Database Access for Daily Green_chromatic_coordinate", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=gcc_90/model_id=tg_ets?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=gcc_90/model_id=tg_ets?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + "title": "Database Access for Weekly Amblyomma_americanum_population", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=amblyomma_americanum/model_id=tg_ets?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=amblyomma_americanum/model_id=tg_ets?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" } } } diff --git a/catalog/summaries/models/model_items/tg_humidity_lm.json b/catalog/summaries/models/model_items/tg_humidity_lm.json index 4b618b9141..b53d29b6a2 100644 --- a/catalog/summaries/models/model_items/tg_humidity_lm.json +++ b/catalog/summaries/models/model_items/tg_humidity_lm.json @@ -16,26 +16,6 @@ "geometry": { "type": "MultiPoint", "coordinates": [ - [-87.7982, 32.5415], - [-84.4374, 31.1854], - [-78.1395, 38.8929], - [-89.5864, 45.5089], - [-103.0293, 40.4619], - [-95.1921, 39.0404], - [-110.5391, 44.9535], - [-147.5026, 65.154], - [-97.57, 33.4012], - [-99.1066, 47.1617], - [-145.7514, 63.8811], - [-106.8425, 32.5907], - [-96.5631, 39.1008], - [-99.0588, 35.4106], - [-66.9868, 18.1135], - [-72.3295, 42.4719], - [-96.6038, 39.1051], - [-87.4077, 32.9604], - [-122.1655, 44.2596], - [-78.1473, 38.8943], [-82.0084, 29.676], [-82.0177, 29.6878], [-149.6106, 68.6307], @@ -57,6 +37,26 @@ [-96.443, 38.9459], [-149.143, 68.6698], [-97.7823, 33.3785], + [-87.7982, 32.5415], + [-84.4374, 31.1854], + [-78.1395, 38.8929], + [-89.5864, 45.5089], + [-103.0293, 40.4619], + [-95.1921, 39.0404], + [-110.5391, 44.9535], + [-147.5026, 65.154], + [-97.57, 33.4012], + [-99.1066, 47.1617], + [-145.7514, 63.8811], + [-106.8425, 32.5907], + [-96.5631, 39.1008], + [-99.0588, 35.4106], + [-66.9868, 18.1135], + [-72.3295, 42.4719], + [-96.6038, 39.1051], + [-87.4077, 32.9604], + [-122.1655, 44.2596], + [-78.1473, 38.8943], [-89.7048, 45.9983], [-99.1139, 47.1591], [-99.2531, 47.1298], @@ -75,10 +75,10 @@ [-112.4524, 40.1776], [-81.9934, 29.6893], [-105.546, 40.2759], - [-105.9154, 39.8914], [-121.9338, 45.7908], [-111.7979, 40.7839], [-119.0274, 36.9559], + [-105.9154, 39.8914], [-89.4737, 46.2097], [-119.2622, 37.0334], [-119.006, 37.0058], @@ -91,16 +91,16 @@ [-105.5824, 40.0543], [-100.9154, 46.7697], [-84.2826, 35.9641], - [-84.2793, 35.9574], [-119.2575, 37.0597], [-110.5871, 44.9501], [-96.6242, 34.4442], [-83.5038, 35.6904], - [-111.5081, 33.751] + [-111.5081, 33.751], + [-84.2793, 35.9574] ] }, "properties": { - "description": "\nmodel info: NA\n\nSites: BLWA, FLNT, SCBI, STEI, STER, UKFS, YELL, BONA, CLBJ, DCFS, DEJU, JORN, KONZ, OAES, CUPE, HOPB, KING, MAYF, MCRA, POSE, BARC, SUGG, TOOK, SERC, SJER, WOOD, BLAN, DSNY, GUAN, HARV, LAJA, MOAB, PUUM, ARIK, CARI, COMO, GUIL, LEWI, MCDI, OKSR, PRIN, LIRO, PRLA, PRPO, TOMB, SRER, TALL, TOOL, UNDE, BARR, BART, CPER, DELA, HEAL, JERC, KONA, ONAQ, OSBS, RMNP, WLOU, MART, REDB, TECR, CRAM, SOAP, TEAK, TREE, WREF, ABBY, GRSM, LENO, MLBS, NIWO, NOGP, ORNL, WALK, BIGC, BLDE, BLUE, LECO, SYCA\n\nVariables: Daily latent_heat_flux, Weekly beetle_community_richness, Daily Dissolved_oxygen, Daily Chlorophyll_a, Daily Green_chromatic_coordinate, Daily Net_ecosystem_exchange, Daily Red_chromatic_coordinate, Weekly beetle_community_abundance, Weekly Amblyomma_americanum_population, Daily Water_temperature", + "description": "\nmodel info: NA\n\nSites: BARC, SUGG, TOOK, SERC, SJER, WOOD, BLAN, DSNY, GUAN, HARV, LAJA, MOAB, PUUM, ARIK, CARI, COMO, GUIL, LEWI, MCDI, OKSR, PRIN, BLWA, FLNT, SCBI, STEI, STER, UKFS, YELL, BONA, CLBJ, DCFS, DEJU, JORN, KONZ, OAES, CUPE, HOPB, KING, MAYF, MCRA, POSE, LIRO, PRLA, PRPO, TOMB, SRER, TALL, TOOL, UNDE, BARR, BART, CPER, DELA, HEAL, JERC, KONA, ONAQ, OSBS, RMNP, MART, REDB, TECR, WLOU, CRAM, SOAP, TEAK, TREE, WREF, ABBY, GRSM, LENO, MLBS, NIWO, NOGP, ORNL, BIGC, BLDE, BLUE, LECO, SYCA, WALK\n\nVariables: Daily Water_temperature, Daily Net_ecosystem_exchange, Daily Green_chromatic_coordinate, Weekly beetle_community_abundance, Weekly Amblyomma_americanum_population, Daily Chlorophyll_a, Daily Red_chromatic_coordinate, Daily Dissolved_oxygen, Daily latent_heat_flux, Weekly beetle_community_richness", "start_datetime": "2023-11-14", "end_datetime": "2024-02-16", "providers": [ @@ -125,16 +125,16 @@ "keywords": [ "Forecasting", "neon4cast", - "Daily latent_heat_flux", - "Weekly beetle_community_richness", - "Daily Dissolved_oxygen", - "Daily Chlorophyll_a", - "Daily Green_chromatic_coordinate", + "Daily Water_temperature", "Daily Net_ecosystem_exchange", - "Daily Red_chromatic_coordinate", + "Daily Green_chromatic_coordinate", "Weekly beetle_community_abundance", "Weekly Amblyomma_americanum_population", - "Daily Water_temperature" + "Daily Chlorophyll_a", + "Daily Red_chromatic_coordinate", + "Daily Dissolved_oxygen", + "Daily latent_heat_flux", + "Weekly beetle_community_richness" ], "table:columns": [ { @@ -272,39 +272,39 @@ }, "3": { "type": "application/x-parquet", - "title": "Database Access for Daily latent_heat_flux", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=le/model_id=tg_humidity_lm?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=le/model_id=tg_humidity_lm?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + "title": "Database Access for Daily Water_temperature", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=temperature/model_id=tg_humidity_lm?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=temperature/model_id=tg_humidity_lm?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, "4": { "type": "application/x-parquet", - "title": "Database Access for Weekly beetle_community_richness", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=richness/model_id=tg_humidity_lm?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=richness/model_id=tg_humidity_lm?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + "title": "Database Access for Daily Net_ecosystem_exchange", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=nee/model_id=tg_humidity_lm?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=nee/model_id=tg_humidity_lm?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, "5": { "type": "application/x-parquet", - "title": "Database Access for Daily Dissolved_oxygen", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=oxygen/model_id=tg_humidity_lm?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=oxygen/model_id=tg_humidity_lm?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + "title": "Database Access for Daily Green_chromatic_coordinate", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=gcc_90/model_id=tg_humidity_lm?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=gcc_90/model_id=tg_humidity_lm?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, "6": { "type": "application/x-parquet", - "title": "Database Access for Daily Chlorophyll_a", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=chla/model_id=tg_humidity_lm?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=chla/model_id=tg_humidity_lm?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + "title": "Database Access for Weekly beetle_community_abundance", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=abundance/model_id=tg_humidity_lm?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=abundance/model_id=tg_humidity_lm?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, "7": { "type": "application/x-parquet", - "title": "Database Access for Daily Green_chromatic_coordinate", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=gcc_90/model_id=tg_humidity_lm?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=gcc_90/model_id=tg_humidity_lm?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + "title": "Database Access for Weekly Amblyomma_americanum_population", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=amblyomma_americanum/model_id=tg_humidity_lm?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=amblyomma_americanum/model_id=tg_humidity_lm?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, "8": { "type": "application/x-parquet", - "title": "Database Access for Daily Net_ecosystem_exchange", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=nee/model_id=tg_humidity_lm?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=nee/model_id=tg_humidity_lm?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + "title": "Database Access for Daily Chlorophyll_a", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=chla/model_id=tg_humidity_lm?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=chla/model_id=tg_humidity_lm?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, "9": { "type": "application/x-parquet", @@ -314,21 +314,21 @@ }, "10": { "type": "application/x-parquet", - "title": "Database Access for Weekly beetle_community_abundance", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=abundance/model_id=tg_humidity_lm?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=abundance/model_id=tg_humidity_lm?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + "title": "Database Access for Daily Dissolved_oxygen", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=oxygen/model_id=tg_humidity_lm?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=oxygen/model_id=tg_humidity_lm?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, "11": { "type": "application/x-parquet", - "title": "Database Access for Weekly Amblyomma_americanum_population", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=amblyomma_americanum/model_id=tg_humidity_lm?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=amblyomma_americanum/model_id=tg_humidity_lm?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + "title": "Database Access for Daily latent_heat_flux", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=le/model_id=tg_humidity_lm?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=le/model_id=tg_humidity_lm?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, "12": { "type": "application/x-parquet", - "title": "Database Access for Daily Water_temperature", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=temperature/model_id=tg_humidity_lm?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=temperature/model_id=tg_humidity_lm?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + "title": "Database Access for Weekly beetle_community_richness", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=richness/model_id=tg_humidity_lm?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=richness/model_id=tg_humidity_lm?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" } } } diff --git a/catalog/summaries/models/model_items/tg_humidity_lm_all_sites.json b/catalog/summaries/models/model_items/tg_humidity_lm_all_sites.json index 28c92dc89f..7ca46dd234 100644 --- a/catalog/summaries/models/model_items/tg_humidity_lm_all_sites.json +++ b/catalog/summaries/models/model_items/tg_humidity_lm_all_sites.json @@ -16,35 +16,9 @@ "geometry": { "type": "MultiPoint", "coordinates": [ - [-89.4737, 46.2097], - [-111.5081, 33.751], - [-84.2793, 35.9574], - [-119.2575, 37.0597], - [-110.5871, 44.9501], - [-96.6242, 34.4442], - [-83.5038, 35.6904], - [-88.1612, 31.8539], - [-80.5248, 37.3783], - [-105.5824, 40.0543], - [-100.9154, 46.7697], - [-84.2826, 35.9641], - [-119.2622, 37.0334], - [-119.006, 37.0058], - [-89.5857, 45.4937], - [-121.9519, 45.8205], - [-122.3303, 45.7624], - [-83.5019, 35.689], - [-82.0084, 29.676], - [-82.0177, 29.6878], - [-149.6106, 68.6307], - [-149.143, 68.6698], - [-97.7823, 33.3785], - [-102.4471, 39.7582], - [-147.504, 65.1532], - [-105.5442, 40.035], - [-66.7987, 18.1741], - [-77.9832, 39.0956], - [-96.443, 38.9459], + [-99.2413, 47.1282], + [-78.0418, 39.0337], + [-81.4362, 28.1251], [-66.8687, 17.9696], [-72.1727, 42.5369], [-67.0769, 18.0213], @@ -52,23 +26,17 @@ [-155.3173, 19.5531], [-76.56, 38.8901], [-119.7323, 37.1088], - [-99.2413, 47.1282], - [-78.0418, 39.0337], - [-81.4362, 28.1251], - [-89.7048, 45.9983], - [-99.1139, 47.1591], - [-99.2531, 47.1298], - [-88.1589, 31.8534], - [-111.7979, 40.7839], - [-119.0274, 36.9559], - [-105.9154, 39.8914], - [-121.9338, 45.7908], - [-149.2133, 63.8758], - [-84.4686, 31.1948], - [-96.6129, 39.1104], - [-112.4524, 40.1776], - [-81.9934, 29.6893], - [-105.546, 40.2759], + [-102.4471, 39.7582], + [-82.0084, 29.676], + [-147.504, 65.1532], + [-105.5442, 40.035], + [-66.7987, 18.1741], + [-77.9832, 39.0956], + [-96.443, 38.9459], + [-149.143, 68.6698], + [-97.7823, 33.3785], + [-82.0177, 29.6878], + [-149.6106, 68.6307], [-110.8355, 31.9107], [-87.3933, 32.9505], [-149.3705, 68.6611], @@ -77,18 +45,38 @@ [-71.2874, 44.0639], [-104.7456, 40.8155], [-87.8039, 32.5417], - [-87.7982, 32.5415], - [-84.4374, 31.1854], - [-122.1655, 44.2596], - [-78.1473, 38.8943], - [-66.9868, 18.1135], - [-72.3295, 42.4719], - [-96.6038, 39.1051], - [-87.4077, 32.9604], - [-106.8425, 32.5907], - [-96.5631, 39.1008], - [-99.0588, 35.4106], - [-78.1395, 38.8929], + [-149.2133, 63.8758], + [-84.4686, 31.1948], + [-96.6129, 39.1104], + [-112.4524, 40.1776], + [-81.9934, 29.6893], + [-105.546, 40.2759], + [-89.7048, 45.9983], + [-121.9338, 45.7908], + [-99.1139, 47.1591], + [-99.2531, 47.1298], + [-111.7979, 40.7839], + [-119.0274, 36.9559], + [-88.1589, 31.8534], + [-105.9154, 39.8914], + [-119.2622, 37.0334], + [-119.006, 37.0058], + [-89.5857, 45.4937], + [-121.9519, 45.8205], + [-122.3303, 45.7624], + [-83.5019, 35.689], + [-88.1612, 31.8539], + [-80.5248, 37.3783], + [-105.5824, 40.0543], + [-100.9154, 46.7697], + [-84.2826, 35.9641], + [-119.2575, 37.0597], + [-110.5871, 44.9501], + [-96.6242, 34.4442], + [-89.4737, 46.2097], + [-83.5038, 35.6904], + [-111.5081, 33.751], + [-84.2793, 35.9574], [-89.5864, 45.5089], [-103.0293, 40.4619], [-95.1921, 39.0404], @@ -96,11 +84,23 @@ [-147.5026, 65.154], [-97.57, 33.4012], [-99.1066, 47.1617], - [-145.7514, 63.8811] + [-145.7514, 63.8811], + [-106.8425, 32.5907], + [-96.5631, 39.1008], + [-99.0588, 35.4106], + [-78.1395, 38.8929], + [-87.7982, 32.5415], + [-66.9868, 18.1135], + [-84.4374, 31.1854], + [-72.3295, 42.4719], + [-96.6038, 39.1051], + [-87.4077, 32.9604], + [-122.1655, 44.2596], + [-78.1473, 38.8943] ] }, "properties": { - "description": "\nmodel info: NA\n\nSites: CRAM, SYCA, WALK, BIGC, BLDE, BLUE, LECO, LENO, MLBS, NIWO, NOGP, ORNL, SOAP, TEAK, TREE, WREF, ABBY, GRSM, BARC, SUGG, TOOK, OKSR, PRIN, ARIK, CARI, COMO, GUIL, LEWI, MCDI, GUAN, HARV, LAJA, MOAB, PUUM, SERC, SJER, WOOD, BLAN, DSNY, LIRO, PRLA, PRPO, TOMB, REDB, TECR, WLOU, MART, HEAL, JERC, KONA, ONAQ, OSBS, RMNP, SRER, TALL, TOOL, UNDE, BARR, BART, CPER, DELA, BLWA, FLNT, MCRA, POSE, CUPE, HOPB, KING, MAYF, JORN, KONZ, OAES, SCBI, STEI, STER, UKFS, YELL, BONA, CLBJ, DCFS, DEJU\n\nVariables: Daily Water_temperature, Daily Dissolved_oxygen, Daily latent_heat_flux, Weekly beetle_community_richness, Daily Chlorophyll_a, Daily Net_ecosystem_exchange, Daily Red_chromatic_coordinate, Weekly beetle_community_abundance, Daily Green_chromatic_coordinate, Weekly Amblyomma_americanum_population", + "description": "\nmodel info: NA\n\nSites: WOOD, BLAN, DSNY, GUAN, HARV, LAJA, MOAB, PUUM, SERC, SJER, ARIK, BARC, CARI, COMO, GUIL, LEWI, MCDI, OKSR, PRIN, SUGG, TOOK, SRER, TALL, TOOL, UNDE, BARR, BART, CPER, DELA, HEAL, JERC, KONA, ONAQ, OSBS, RMNP, LIRO, MART, PRLA, PRPO, REDB, TECR, TOMB, WLOU, SOAP, TEAK, TREE, WREF, ABBY, GRSM, LENO, MLBS, NIWO, NOGP, ORNL, BIGC, BLDE, BLUE, CRAM, LECO, SYCA, WALK, STEI, STER, UKFS, YELL, BONA, CLBJ, DCFS, DEJU, JORN, KONZ, OAES, SCBI, BLWA, CUPE, FLNT, HOPB, KING, MAYF, MCRA, POSE\n\nVariables: Daily latent_heat_flux, Weekly beetle_community_richness, Daily Dissolved_oxygen, Daily Chlorophyll_a, Weekly Amblyomma_americanum_population, Daily Net_ecosystem_exchange, Weekly beetle_community_abundance, Daily Red_chromatic_coordinate, Daily Green_chromatic_coordinate, Daily Water_temperature", "start_datetime": "2023-11-14", "end_datetime": "2024-02-16", "providers": [ @@ -125,16 +125,16 @@ "keywords": [ "Forecasting", "neon4cast", - "Daily Water_temperature", - "Daily Dissolved_oxygen", "Daily latent_heat_flux", "Weekly beetle_community_richness", + "Daily Dissolved_oxygen", "Daily Chlorophyll_a", + "Weekly Amblyomma_americanum_population", "Daily Net_ecosystem_exchange", - "Daily Red_chromatic_coordinate", "Weekly beetle_community_abundance", + "Daily Red_chromatic_coordinate", "Daily Green_chromatic_coordinate", - "Weekly Amblyomma_americanum_population" + "Daily Water_temperature" ], "table:columns": [ { @@ -271,35 +271,35 @@ "description": "The link to the model code provided by the model submission team" }, "3": { - "type": "application/x-parquet", - "title": "Database Access for Daily Water_temperature", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=temperature/model_id=tg_humidity_lm_all_sites?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=temperature/model_id=tg_humidity_lm_all_sites?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" - }, - "4": { - "type": "application/x-parquet", - "title": "Database Access for Daily Dissolved_oxygen", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=oxygen/model_id=tg_humidity_lm_all_sites?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=oxygen/model_id=tg_humidity_lm_all_sites?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" - }, - "5": { "type": "application/x-parquet", "title": "Database Access for Daily latent_heat_flux", "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=le/model_id=tg_humidity_lm_all_sites?endpoint_override=sdsc.osn.xsede.org", "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=le/model_id=tg_humidity_lm_all_sites?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, - "6": { + "4": { "type": "application/x-parquet", "title": "Database Access for Weekly beetle_community_richness", "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=richness/model_id=tg_humidity_lm_all_sites?endpoint_override=sdsc.osn.xsede.org", "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=richness/model_id=tg_humidity_lm_all_sites?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, - "7": { + "5": { + "type": "application/x-parquet", + "title": "Database Access for Daily Dissolved_oxygen", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=oxygen/model_id=tg_humidity_lm_all_sites?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=oxygen/model_id=tg_humidity_lm_all_sites?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + }, + "6": { "type": "application/x-parquet", "title": "Database Access for Daily Chlorophyll_a", "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=chla/model_id=tg_humidity_lm_all_sites?endpoint_override=sdsc.osn.xsede.org", "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=chla/model_id=tg_humidity_lm_all_sites?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, + "7": { + "type": "application/x-parquet", + "title": "Database Access for Weekly Amblyomma_americanum_population", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=amblyomma_americanum/model_id=tg_humidity_lm_all_sites?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=amblyomma_americanum/model_id=tg_humidity_lm_all_sites?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + }, "8": { "type": "application/x-parquet", "title": "Database Access for Daily Net_ecosystem_exchange", @@ -307,17 +307,17 @@ "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=nee/model_id=tg_humidity_lm_all_sites?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, "9": { - "type": "application/x-parquet", - "title": "Database Access for Daily Red_chromatic_coordinate", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=rcc_90/model_id=tg_humidity_lm_all_sites?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=rcc_90/model_id=tg_humidity_lm_all_sites?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" - }, - "10": { "type": "application/x-parquet", "title": "Database Access for Weekly beetle_community_abundance", "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=abundance/model_id=tg_humidity_lm_all_sites?endpoint_override=sdsc.osn.xsede.org", "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=abundance/model_id=tg_humidity_lm_all_sites?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, + "10": { + "type": "application/x-parquet", + "title": "Database Access for Daily Red_chromatic_coordinate", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=rcc_90/model_id=tg_humidity_lm_all_sites?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=rcc_90/model_id=tg_humidity_lm_all_sites?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + }, "11": { "type": "application/x-parquet", "title": "Database Access for Daily Green_chromatic_coordinate", @@ -326,9 +326,9 @@ }, "12": { "type": "application/x-parquet", - "title": "Database Access for Weekly Amblyomma_americanum_population", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=amblyomma_americanum/model_id=tg_humidity_lm_all_sites?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=amblyomma_americanum/model_id=tg_humidity_lm_all_sites?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + "title": "Database Access for Daily Water_temperature", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=temperature/model_id=tg_humidity_lm_all_sites?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=temperature/model_id=tg_humidity_lm_all_sites?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" } } } diff --git a/catalog/summaries/models/model_items/tg_lasso.json b/catalog/summaries/models/model_items/tg_lasso.json index b616473563..ac1e95cbd7 100644 --- a/catalog/summaries/models/model_items/tg_lasso.json +++ b/catalog/summaries/models/model_items/tg_lasso.json @@ -16,34 +16,13 @@ "geometry": { "type": "MultiPoint", "coordinates": [ - [-87.7982, 32.5415], - [-66.9868, 18.1135], - [-84.4374, 31.1854], - [-72.3295, 42.4719], - [-96.6038, 39.1051], - [-87.4077, 32.9604], - [-122.1655, 44.2596], - [-78.1473, 38.8943], - [-106.8425, 32.5907], - [-96.5631, 39.1008], - [-99.0588, 35.4106], - [-78.1395, 38.8929], - [-89.5864, 45.5089], - [-103.0293, 40.4619], - [-95.1921, 39.0404], - [-110.5391, 44.9535], - [-147.5026, 65.154], - [-97.57, 33.4012], - [-99.1066, 47.1617], - [-145.7514, 63.8811], + [-89.4737, 46.2097], [-84.2793, 35.9574], [-119.2575, 37.0597], [-110.5871, 44.9501], [-96.6242, 34.4442], - [-89.4737, 46.2097], [-83.5038, 35.6904], [-111.5081, 33.751], - [-83.5019, 35.689], [-88.1612, 31.8539], [-80.5248, 37.3783], [-105.5824, 40.0543], @@ -54,9 +33,33 @@ [-89.5857, 45.4937], [-121.9519, 45.8205], [-122.3303, 45.7624], + [-83.5019, 35.689], + [-89.7048, 45.9983], + [-99.1139, 47.1591], + [-99.2531, 47.1298], + [-88.1589, 31.8534], + [-105.9154, 39.8914], + [-121.9338, 45.7908], + [-111.7979, 40.7839], + [-119.0274, 36.9559], + [-149.2133, 63.8758], + [-84.4686, 31.1948], + [-96.6129, 39.1104], + [-112.4524, 40.1776], + [-81.9934, 29.6893], + [-105.546, 40.2759], + [-110.8355, 31.9107], + [-87.3933, 32.9505], + [-149.3705, 68.6611], + [-89.5373, 46.2339], + [-156.6194, 71.2824], + [-71.2874, 44.0639], + [-104.7456, 40.8155], + [-87.8039, 32.5417], + [-82.0084, 29.676], + [-82.0177, 29.6878], [-149.6106, 68.6307], [-102.4471, 39.7582], - [-82.0084, 29.676], [-147.504, 65.1532], [-105.5442, 40.035], [-66.7987, 18.1741], @@ -64,8 +67,6 @@ [-96.443, 38.9459], [-149.143, 68.6698], [-97.7823, 33.3785], - [-82.0177, 29.6878], - [-81.4362, 28.1251], [-66.8687, 17.9696], [-72.1727, 42.5369], [-67.0769, 18.0213], @@ -75,32 +76,31 @@ [-119.7323, 37.1088], [-99.2413, 47.1282], [-78.0418, 39.0337], - [-119.0274, 36.9559], - [-88.1589, 31.8534], - [-105.9154, 39.8914], - [-89.7048, 45.9983], - [-121.9338, 45.7908], - [-99.1139, 47.1591], - [-99.2531, 47.1298], - [-111.7979, 40.7839], - [-87.8039, 32.5417], - [-149.2133, 63.8758], - [-84.4686, 31.1948], - [-96.6129, 39.1104], - [-112.4524, 40.1776], - [-81.9934, 29.6893], - [-105.546, 40.2759], - [-110.8355, 31.9107], - [-87.3933, 32.9505], - [-149.3705, 68.6611], - [-89.5373, 46.2339], - [-156.6194, 71.2824], - [-71.2874, 44.0639], - [-104.7456, 40.8155] + [-81.4362, 28.1251], + [-87.7982, 32.5415], + [-84.4374, 31.1854], + [-66.9868, 18.1135], + [-72.3295, 42.4719], + [-96.6038, 39.1051], + [-87.4077, 32.9604], + [-122.1655, 44.2596], + [-78.1473, 38.8943], + [-106.8425, 32.5907], + [-96.5631, 39.1008], + [-99.0588, 35.4106], + [-78.1395, 38.8929], + [-89.5864, 45.5089], + [-103.0293, 40.4619], + [-95.1921, 39.0404], + [-110.5391, 44.9535], + [-147.5026, 65.154], + [-97.57, 33.4012], + [-99.1066, 47.1617], + [-145.7514, 63.8811] ] }, "properties": { - "description": "\nmodel info: NA\n\nSites: BLWA, CUPE, FLNT, HOPB, KING, MAYF, MCRA, POSE, JORN, KONZ, OAES, SCBI, STEI, STER, UKFS, YELL, BONA, CLBJ, DCFS, DEJU, WALK, BIGC, BLDE, BLUE, CRAM, LECO, SYCA, GRSM, LENO, MLBS, NIWO, NOGP, ORNL, SOAP, TEAK, TREE, WREF, ABBY, TOOK, ARIK, BARC, CARI, COMO, GUIL, LEWI, MCDI, OKSR, PRIN, SUGG, DSNY, GUAN, HARV, LAJA, MOAB, PUUM, SERC, SJER, WOOD, BLAN, TECR, TOMB, WLOU, LIRO, MART, PRLA, PRPO, REDB, DELA, HEAL, JERC, KONA, ONAQ, OSBS, RMNP, SRER, TALL, TOOL, UNDE, BARR, BART, CPER\n\nVariables: Daily Water_temperature, Daily Chlorophyll_a, Weekly beetle_community_abundance, Weekly Amblyomma_americanum_population, Daily Red_chromatic_coordinate, Daily Green_chromatic_coordinate, Weekly beetle_community_richness, Daily Dissolved_oxygen", + "description": "\nmodel info: NA\n\nSites: CRAM, WALK, BIGC, BLDE, BLUE, LECO, SYCA, LENO, MLBS, NIWO, NOGP, ORNL, SOAP, TEAK, TREE, WREF, ABBY, GRSM, LIRO, PRLA, PRPO, TOMB, WLOU, MART, REDB, TECR, HEAL, JERC, KONA, ONAQ, OSBS, RMNP, SRER, TALL, TOOL, UNDE, BARR, BART, CPER, DELA, BARC, SUGG, TOOK, ARIK, CARI, COMO, GUIL, LEWI, MCDI, OKSR, PRIN, GUAN, HARV, LAJA, MOAB, PUUM, SERC, SJER, WOOD, BLAN, DSNY, BLWA, FLNT, CUPE, HOPB, KING, MAYF, MCRA, POSE, JORN, KONZ, OAES, SCBI, STEI, STER, UKFS, YELL, BONA, CLBJ, DCFS, DEJU\n\nVariables: Daily Water_temperature, Daily Dissolved_oxygen, Weekly beetle_community_richness, Weekly beetle_community_abundance, Weekly Amblyomma_americanum_population, Daily Red_chromatic_coordinate, Daily Chlorophyll_a, Daily Green_chromatic_coordinate", "start_datetime": "2023-11-14", "end_datetime": "2024-02-16", "providers": [ @@ -126,13 +126,13 @@ "Forecasting", "neon4cast", "Daily Water_temperature", - "Daily Chlorophyll_a", + "Daily Dissolved_oxygen", + "Weekly beetle_community_richness", "Weekly beetle_community_abundance", "Weekly Amblyomma_americanum_population", "Daily Red_chromatic_coordinate", - "Daily Green_chromatic_coordinate", - "Weekly beetle_community_richness", - "Daily Dissolved_oxygen" + "Daily Chlorophyll_a", + "Daily Green_chromatic_coordinate" ], "table:columns": [ { @@ -276,45 +276,45 @@ }, "4": { "type": "application/x-parquet", - "title": "Database Access for Daily Chlorophyll_a", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=chla/model_id=tg_lasso?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=chla/model_id=tg_lasso?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + "title": "Database Access for Daily Dissolved_oxygen", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=oxygen/model_id=tg_lasso?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=oxygen/model_id=tg_lasso?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, "5": { + "type": "application/x-parquet", + "title": "Database Access for Weekly beetle_community_richness", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=richness/model_id=tg_lasso?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=richness/model_id=tg_lasso?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + }, + "6": { "type": "application/x-parquet", "title": "Database Access for Weekly beetle_community_abundance", "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=abundance/model_id=tg_lasso?endpoint_override=sdsc.osn.xsede.org", "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=abundance/model_id=tg_lasso?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, - "6": { + "7": { "type": "application/x-parquet", "title": "Database Access for Weekly Amblyomma_americanum_population", "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=amblyomma_americanum/model_id=tg_lasso?endpoint_override=sdsc.osn.xsede.org", "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=amblyomma_americanum/model_id=tg_lasso?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, - "7": { + "8": { "type": "application/x-parquet", "title": "Database Access for Daily Red_chromatic_coordinate", "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=rcc_90/model_id=tg_lasso?endpoint_override=sdsc.osn.xsede.org", "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=rcc_90/model_id=tg_lasso?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, - "8": { - "type": "application/x-parquet", - "title": "Database Access for Daily Green_chromatic_coordinate", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=gcc_90/model_id=tg_lasso?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=gcc_90/model_id=tg_lasso?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" - }, "9": { "type": "application/x-parquet", - "title": "Database Access for Weekly beetle_community_richness", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=richness/model_id=tg_lasso?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=richness/model_id=tg_lasso?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + "title": "Database Access for Daily Chlorophyll_a", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=chla/model_id=tg_lasso?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=chla/model_id=tg_lasso?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, "10": { "type": "application/x-parquet", - "title": "Database Access for Daily Dissolved_oxygen", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=oxygen/model_id=tg_lasso?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=oxygen/model_id=tg_lasso?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + "title": "Database Access for Daily Green_chromatic_coordinate", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=gcc_90/model_id=tg_lasso?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=gcc_90/model_id=tg_lasso?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" } } } diff --git a/catalog/summaries/models/model_items/tg_lasso_all_sites.json b/catalog/summaries/models/model_items/tg_lasso_all_sites.json index 846cd3b497..7dd18c55f6 100644 --- a/catalog/summaries/models/model_items/tg_lasso_all_sites.json +++ b/catalog/summaries/models/model_items/tg_lasso_all_sites.json @@ -16,65 +16,6 @@ "geometry": { "type": "MultiPoint", "coordinates": [ - [-89.5864, 45.5089], - [-103.0293, 40.4619], - [-95.1921, 39.0404], - [-110.5391, 44.9535], - [-147.5026, 65.154], - [-97.57, 33.4012], - [-99.1066, 47.1617], - [-145.7514, 63.8811], - [-106.8425, 32.5907], - [-96.5631, 39.1008], - [-99.0588, 35.4106], - [-78.1395, 38.8929], - [-87.7982, 32.5415], - [-66.9868, 18.1135], - [-84.4374, 31.1854], - [-72.3295, 42.4719], - [-96.6038, 39.1051], - [-87.4077, 32.9604], - [-122.1655, 44.2596], - [-78.1473, 38.8943], - [-99.2413, 47.1282], - [-78.0418, 39.0337], - [-81.4362, 28.1251], - [-66.8687, 17.9696], - [-72.1727, 42.5369], - [-67.0769, 18.0213], - [-109.3883, 38.2483], - [-155.3173, 19.5531], - [-76.56, 38.8901], - [-119.7323, 37.1088], - [-102.4471, 39.7582], - [-82.0084, 29.676], - [-147.504, 65.1532], - [-105.5442, 40.035], - [-66.7987, 18.1741], - [-77.9832, 39.0956], - [-96.443, 38.9459], - [-149.143, 68.6698], - [-97.7823, 33.3785], - [-82.0177, 29.6878], - [-149.6106, 68.6307], - [-119.2622, 37.0334], - [-119.006, 37.0058], - [-89.5857, 45.4937], - [-121.9519, 45.8205], - [-122.3303, 45.7624], - [-83.5019, 35.689], - [-88.1612, 31.8539], - [-80.5248, 37.3783], - [-105.5824, 40.0543], - [-100.9154, 46.7697], - [-84.2826, 35.9641], - [-119.2575, 37.0597], - [-110.5871, 44.9501], - [-96.6242, 34.4442], - [-89.4737, 46.2097], - [-83.5038, 35.6904], - [-111.5081, 33.751], - [-84.2793, 35.9574], [-110.8355, 31.9107], [-87.3933, 32.9505], [-149.3705, 68.6611], @@ -90,13 +31,72 @@ [-81.9934, 29.6893], [-105.546, 40.2759], [-89.7048, 45.9983], - [-121.9338, 45.7908], [-99.1139, 47.1591], [-99.2531, 47.1298], + [-88.1589, 31.8534], + [-121.9338, 45.7908], [-111.7979, 40.7839], [-119.0274, 36.9559], - [-88.1589, 31.8534], - [-105.9154, 39.8914] + [-105.9154, 39.8914], + [-119.2622, 37.0334], + [-119.006, 37.0058], + [-89.5857, 45.4937], + [-121.9519, 45.8205], + [-122.3303, 45.7624], + [-83.5019, 35.689], + [-88.1612, 31.8539], + [-80.5248, 37.3783], + [-105.5824, 40.0543], + [-100.9154, 46.7697], + [-84.2826, 35.9641], + [-89.4737, 46.2097], + [-119.2575, 37.0597], + [-110.5871, 44.9501], + [-96.6242, 34.4442], + [-83.5038, 35.6904], + [-111.5081, 33.751], + [-84.2793, 35.9574], + [-99.2413, 47.1282], + [-78.0418, 39.0337], + [-81.4362, 28.1251], + [-66.8687, 17.9696], + [-72.1727, 42.5369], + [-67.0769, 18.0213], + [-109.3883, 38.2483], + [-155.3173, 19.5531], + [-76.56, 38.8901], + [-119.7323, 37.1088], + [-82.0084, 29.676], + [-82.0177, 29.6878], + [-149.6106, 68.6307], + [-102.4471, 39.7582], + [-147.504, 65.1532], + [-105.5442, 40.035], + [-66.7987, 18.1741], + [-77.9832, 39.0956], + [-96.443, 38.9459], + [-149.143, 68.6698], + [-97.7823, 33.3785], + [-89.5864, 45.5089], + [-103.0293, 40.4619], + [-95.1921, 39.0404], + [-110.5391, 44.9535], + [-147.5026, 65.154], + [-97.57, 33.4012], + [-99.1066, 47.1617], + [-145.7514, 63.8811], + [-106.8425, 32.5907], + [-96.5631, 39.1008], + [-99.0588, 35.4106], + [-78.1395, 38.8929], + [-87.7982, 32.5415], + [-84.4374, 31.1854], + [-66.9868, 18.1135], + [-72.3295, 42.4719], + [-96.6038, 39.1051], + [-87.4077, 32.9604], + [-122.1655, 44.2596], + [-78.1473, 38.8943] ] }, "properties": { @@ -127,12 +127,12 @@ "neon4cast", "Daily Water_temperature", "Daily Green_chromatic_coordinate", - "Daily Chlorophyll_a", - "Daily Red_chromatic_coordinate", "Weekly beetle_community_abundance", "Weekly Amblyomma_americanum_population", - "Weekly beetle_community_richness", - "Daily Dissolved_oxygen" + "Daily Red_chromatic_coordinate", + "Daily Chlorophyll_a", + "Daily Dissolved_oxygen", + "Weekly beetle_community_richness" ], "table:columns": [ { @@ -281,40 +281,40 @@ "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=gcc_90/model_id=tg_lasso_all_sites?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, "5": { - "type": "application/x-parquet", - "title": "Database Access for Daily Chlorophyll_a", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=chla/model_id=tg_lasso_all_sites?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=chla/model_id=tg_lasso_all_sites?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" - }, - "6": { - "type": "application/x-parquet", - "title": "Database Access for Daily Red_chromatic_coordinate", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=rcc_90/model_id=tg_lasso_all_sites?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=rcc_90/model_id=tg_lasso_all_sites?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" - }, - "7": { "type": "application/x-parquet", "title": "Database Access for Weekly beetle_community_abundance", "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=abundance/model_id=tg_lasso_all_sites?endpoint_override=sdsc.osn.xsede.org", "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=abundance/model_id=tg_lasso_all_sites?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, - "8": { + "6": { "type": "application/x-parquet", "title": "Database Access for Weekly Amblyomma_americanum_population", "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=amblyomma_americanum/model_id=tg_lasso_all_sites?endpoint_override=sdsc.osn.xsede.org", "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=amblyomma_americanum/model_id=tg_lasso_all_sites?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, - "9": { + "7": { "type": "application/x-parquet", - "title": "Database Access for Weekly beetle_community_richness", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=richness/model_id=tg_lasso_all_sites?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=richness/model_id=tg_lasso_all_sites?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + "title": "Database Access for Daily Red_chromatic_coordinate", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=rcc_90/model_id=tg_lasso_all_sites?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=rcc_90/model_id=tg_lasso_all_sites?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, - "10": { + "8": { + "type": "application/x-parquet", + "title": "Database Access for Daily Chlorophyll_a", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=chla/model_id=tg_lasso_all_sites?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=chla/model_id=tg_lasso_all_sites?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + }, + "9": { "type": "application/x-parquet", "title": "Database Access for Daily Dissolved_oxygen", "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=oxygen/model_id=tg_lasso_all_sites?endpoint_override=sdsc.osn.xsede.org", "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=oxygen/model_id=tg_lasso_all_sites?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + }, + "10": { + "type": "application/x-parquet", + "title": "Database Access for Weekly beetle_community_richness", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=richness/model_id=tg_lasso_all_sites?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=richness/model_id=tg_lasso_all_sites?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" } } } diff --git a/catalog/summaries/models/model_items/tg_precip_lm.json b/catalog/summaries/models/model_items/tg_precip_lm.json index 30bd190947..c8c95bac6b 100644 --- a/catalog/summaries/models/model_items/tg_precip_lm.json +++ b/catalog/summaries/models/model_items/tg_precip_lm.json @@ -16,6 +16,26 @@ "geometry": { "type": "MultiPoint", "coordinates": [ + [-87.7982, 32.5415], + [-66.9868, 18.1135], + [-84.4374, 31.1854], + [-72.3295, 42.4719], + [-96.6038, 39.1051], + [-87.4077, 32.9604], + [-122.1655, 44.2596], + [-78.1473, 38.8943], + [-147.5026, 65.154], + [-97.57, 33.4012], + [-99.1066, 47.1617], + [-145.7514, 63.8811], + [-106.8425, 32.5907], + [-96.5631, 39.1008], + [-99.0588, 35.4106], + [-78.1395, 38.8929], + [-89.5864, 45.5089], + [-103.0293, 40.4619], + [-95.1921, 39.0404], + [-110.5391, 44.9535], [-149.6106, 68.6307], [-102.4471, 39.7582], [-82.0084, 29.676], @@ -27,9 +47,6 @@ [-149.143, 68.6698], [-97.7823, 33.3785], [-82.0177, 29.6878], - [-76.56, 38.8901], - [-119.7323, 37.1088], - [-99.2413, 47.1282], [-78.0418, 39.0337], [-81.4362, 28.1251], [-66.8687, 17.9696], @@ -37,6 +54,9 @@ [-67.0769, 18.0213], [-109.3883, 38.2483], [-155.3173, 19.5531], + [-76.56, 38.8901], + [-119.7323, 37.1088], + [-99.2413, 47.1282], [-105.9154, 39.8914], [-89.7048, 45.9983], [-121.9338, 45.7908], @@ -45,10 +65,6 @@ [-111.7979, 40.7839], [-119.0274, 36.9559], [-88.1589, 31.8534], - [-110.8355, 31.9107], - [-87.3933, 32.9505], - [-149.3705, 68.6611], - [-89.5373, 46.2339], [-156.6194, 71.2824], [-71.2874, 44.0639], [-104.7456, 40.8155], @@ -59,26 +75,10 @@ [-112.4524, 40.1776], [-81.9934, 29.6893], [-105.546, 40.2759], - [-87.7982, 32.5415], - [-66.9868, 18.1135], - [-84.4374, 31.1854], - [-72.3295, 42.4719], - [-96.6038, 39.1051], - [-87.4077, 32.9604], - [-122.1655, 44.2596], - [-78.1473, 38.8943], - [-78.1395, 38.8929], - [-89.5864, 45.5089], - [-103.0293, 40.4619], - [-95.1921, 39.0404], - [-110.5391, 44.9535], - [-147.5026, 65.154], - [-97.57, 33.4012], - [-99.1066, 47.1617], - [-145.7514, 63.8811], - [-106.8425, 32.5907], - [-96.5631, 39.1008], - [-99.0588, 35.4106], + [-110.8355, 31.9107], + [-87.3933, 32.9505], + [-149.3705, 68.6611], + [-89.5373, 46.2339], [-84.2793, 35.9574], [-119.2575, 37.0597], [-110.5871, 44.9501], @@ -86,21 +86,21 @@ [-89.4737, 46.2097], [-83.5038, 35.6904], [-111.5081, 33.751], - [-119.2622, 37.0334], - [-119.006, 37.0058], - [-89.5857, 45.4937], - [-121.9519, 45.8205], [-122.3303, 45.7624], [-83.5019, 35.689], [-88.1612, 31.8539], [-80.5248, 37.3783], [-105.5824, 40.0543], [-100.9154, 46.7697], - [-84.2826, 35.9641] + [-84.2826, 35.9641], + [-119.2622, 37.0334], + [-119.006, 37.0058], + [-89.5857, 45.4937], + [-121.9519, 45.8205] ] }, "properties": { - "description": "\nmodel info: NA\n\nSites: TOOK, ARIK, BARC, CARI, COMO, GUIL, LEWI, MCDI, OKSR, PRIN, SUGG, SERC, SJER, WOOD, BLAN, DSNY, GUAN, HARV, LAJA, MOAB, PUUM, WLOU, LIRO, MART, PRLA, PRPO, REDB, TECR, TOMB, SRER, TALL, TOOL, UNDE, BARR, BART, CPER, DELA, HEAL, JERC, KONA, ONAQ, OSBS, RMNP, BLWA, CUPE, FLNT, HOPB, KING, MAYF, MCRA, POSE, SCBI, STEI, STER, UKFS, YELL, BONA, CLBJ, DCFS, DEJU, JORN, KONZ, OAES, WALK, BIGC, BLDE, BLUE, CRAM, LECO, SYCA, SOAP, TEAK, TREE, WREF, ABBY, GRSM, LENO, MLBS, NIWO, NOGP, ORNL\n\nVariables: Daily Water_temperature, Daily Dissolved_oxygen, Daily latent_heat_flux, Weekly beetle_community_richness, Daily Green_chromatic_coordinate, Daily Red_chromatic_coordinate, Daily Chlorophyll_a, Weekly Amblyomma_americanum_population, Weekly beetle_community_abundance, Daily Net_ecosystem_exchange", + "description": "\nmodel info: NA\n\nSites: BLWA, CUPE, FLNT, HOPB, KING, MAYF, MCRA, POSE, BONA, CLBJ, DCFS, DEJU, JORN, KONZ, OAES, SCBI, STEI, STER, UKFS, YELL, TOOK, ARIK, BARC, CARI, COMO, GUIL, LEWI, MCDI, OKSR, PRIN, SUGG, BLAN, DSNY, GUAN, HARV, LAJA, MOAB, PUUM, SERC, SJER, WOOD, WLOU, LIRO, MART, PRLA, PRPO, REDB, TECR, TOMB, BARR, BART, CPER, DELA, HEAL, JERC, KONA, ONAQ, OSBS, RMNP, SRER, TALL, TOOL, UNDE, WALK, BIGC, BLDE, BLUE, CRAM, LECO, SYCA, ABBY, GRSM, LENO, MLBS, NIWO, NOGP, ORNL, SOAP, TEAK, TREE, WREF\n\nVariables: Daily Green_chromatic_coordinate, Daily Chlorophyll_a, Weekly Amblyomma_americanum_population, Daily Red_chromatic_coordinate, Daily Net_ecosystem_exchange, Weekly beetle_community_abundance, Daily Water_temperature, Daily Dissolved_oxygen, Daily latent_heat_flux, Weekly beetle_community_richness", "start_datetime": "2023-11-14", "end_datetime": "2024-02-16", "providers": [ @@ -125,16 +125,16 @@ "keywords": [ "Forecasting", "neon4cast", - "Daily Water_temperature", - "Daily Dissolved_oxygen", - "Daily latent_heat_flux", - "Weekly beetle_community_richness", "Daily Green_chromatic_coordinate", - "Daily Red_chromatic_coordinate", "Daily Chlorophyll_a", "Weekly Amblyomma_americanum_population", + "Daily Red_chromatic_coordinate", + "Daily Net_ecosystem_exchange", "Weekly beetle_community_abundance", - "Daily Net_ecosystem_exchange" + "Daily Water_temperature", + "Daily Dissolved_oxygen", + "Daily latent_heat_flux", + "Weekly beetle_community_richness" ], "table:columns": [ { @@ -272,63 +272,63 @@ }, "3": { "type": "application/x-parquet", - "title": "Database Access for Daily Water_temperature", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=temperature/model_id=tg_precip_lm?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=temperature/model_id=tg_precip_lm?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + "title": "Database Access for Daily Green_chromatic_coordinate", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=gcc_90/model_id=tg_precip_lm?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=gcc_90/model_id=tg_precip_lm?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, "4": { "type": "application/x-parquet", - "title": "Database Access for Daily Dissolved_oxygen", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=oxygen/model_id=tg_precip_lm?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=oxygen/model_id=tg_precip_lm?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + "title": "Database Access for Daily Chlorophyll_a", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=chla/model_id=tg_precip_lm?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=chla/model_id=tg_precip_lm?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, "5": { "type": "application/x-parquet", - "title": "Database Access for Daily latent_heat_flux", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=le/model_id=tg_precip_lm?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=le/model_id=tg_precip_lm?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + "title": "Database Access for Weekly Amblyomma_americanum_population", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=amblyomma_americanum/model_id=tg_precip_lm?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=amblyomma_americanum/model_id=tg_precip_lm?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, "6": { "type": "application/x-parquet", - "title": "Database Access for Weekly beetle_community_richness", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=richness/model_id=tg_precip_lm?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=richness/model_id=tg_precip_lm?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + "title": "Database Access for Daily Red_chromatic_coordinate", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=rcc_90/model_id=tg_precip_lm?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=rcc_90/model_id=tg_precip_lm?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, "7": { "type": "application/x-parquet", - "title": "Database Access for Daily Green_chromatic_coordinate", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=gcc_90/model_id=tg_precip_lm?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=gcc_90/model_id=tg_precip_lm?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + "title": "Database Access for Daily Net_ecosystem_exchange", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=nee/model_id=tg_precip_lm?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=nee/model_id=tg_precip_lm?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, "8": { "type": "application/x-parquet", - "title": "Database Access for Daily Red_chromatic_coordinate", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=rcc_90/model_id=tg_precip_lm?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=rcc_90/model_id=tg_precip_lm?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + "title": "Database Access for Weekly beetle_community_abundance", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=abundance/model_id=tg_precip_lm?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=abundance/model_id=tg_precip_lm?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, "9": { "type": "application/x-parquet", - "title": "Database Access for Daily Chlorophyll_a", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=chla/model_id=tg_precip_lm?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=chla/model_id=tg_precip_lm?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + "title": "Database Access for Daily Water_temperature", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=temperature/model_id=tg_precip_lm?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=temperature/model_id=tg_precip_lm?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, "10": { "type": "application/x-parquet", - "title": "Database Access for Weekly Amblyomma_americanum_population", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=amblyomma_americanum/model_id=tg_precip_lm?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=amblyomma_americanum/model_id=tg_precip_lm?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + "title": "Database Access for Daily Dissolved_oxygen", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=oxygen/model_id=tg_precip_lm?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=oxygen/model_id=tg_precip_lm?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, "11": { "type": "application/x-parquet", - "title": "Database Access for Weekly beetle_community_abundance", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=abundance/model_id=tg_precip_lm?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=abundance/model_id=tg_precip_lm?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + "title": "Database Access for Daily latent_heat_flux", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=le/model_id=tg_precip_lm?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=le/model_id=tg_precip_lm?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, "12": { "type": "application/x-parquet", - "title": "Database Access for Daily Net_ecosystem_exchange", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=nee/model_id=tg_precip_lm?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=nee/model_id=tg_precip_lm?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + "title": "Database Access for Weekly beetle_community_richness", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=richness/model_id=tg_precip_lm?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=richness/model_id=tg_precip_lm?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" } } } diff --git a/catalog/summaries/models/model_items/tg_precip_lm_all_sites.json b/catalog/summaries/models/model_items/tg_precip_lm_all_sites.json index 26adf437c3..197e2ae24a 100644 --- a/catalog/summaries/models/model_items/tg_precip_lm_all_sites.json +++ b/catalog/summaries/models/model_items/tg_precip_lm_all_sites.json @@ -16,6 +16,16 @@ "geometry": { "type": "MultiPoint", "coordinates": [ + [-67.0769, 18.0213], + [-109.3883, 38.2483], + [-155.3173, 19.5531], + [-76.56, 38.8901], + [-119.7323, 37.1088], + [-99.2413, 47.1282], + [-78.0418, 39.0337], + [-81.4362, 28.1251], + [-66.8687, 17.9696], + [-72.1727, 42.5369], [-149.143, 68.6698], [-97.7823, 33.3785], [-82.0177, 29.6878], @@ -27,47 +37,6 @@ [-66.7987, 18.1741], [-77.9832, 39.0956], [-96.443, 38.9459], - [-66.8687, 17.9696], - [-72.1727, 42.5369], - [-67.0769, 18.0213], - [-109.3883, 38.2483], - [-155.3173, 19.5531], - [-76.56, 38.8901], - [-119.7323, 37.1088], - [-99.2413, 47.1282], - [-78.0418, 39.0337], - [-81.4362, 28.1251], - [-99.1139, 47.1591], - [-99.2531, 47.1298], - [-111.7979, 40.7839], - [-119.0274, 36.9559], - [-88.1589, 31.8534], - [-105.9154, 39.8914], - [-89.7048, 45.9983], - [-121.9338, 45.7908], - [-149.2133, 63.8758], - [-84.4686, 31.1948], - [-96.6129, 39.1104], - [-112.4524, 40.1776], - [-81.9934, 29.6893], - [-105.546, 40.2759], - [-110.8355, 31.9107], - [-87.3933, 32.9505], - [-149.3705, 68.6611], - [-89.5373, 46.2339], - [-156.6194, 71.2824], - [-71.2874, 44.0639], - [-104.7456, 40.8155], - [-87.8039, 32.5417], - [-122.1655, 44.2596], - [-78.1473, 38.8943], - [-87.7982, 32.5415], - [-66.9868, 18.1135], - [-84.4374, 31.1854], - [-72.3295, 42.4719], - [-96.6038, 39.1051], - [-87.4077, 32.9604], - [-106.8425, 32.5907], [-96.5631, 39.1008], [-99.0588, 35.4106], [-78.1395, 38.8929], @@ -79,13 +48,37 @@ [-97.57, 33.4012], [-99.1066, 47.1617], [-145.7514, 63.8811], - [-111.5081, 33.751], - [-84.2793, 35.9574], - [-119.2575, 37.0597], - [-110.5871, 44.9501], - [-96.6242, 34.4442], - [-89.4737, 46.2097], - [-83.5038, 35.6904], + [-106.8425, 32.5907], + [-122.1655, 44.2596], + [-78.1473, 38.8943], + [-87.7982, 32.5415], + [-66.9868, 18.1135], + [-84.4374, 31.1854], + [-72.3295, 42.4719], + [-96.6038, 39.1051], + [-87.4077, 32.9604], + [-112.4524, 40.1776], + [-81.9934, 29.6893], + [-105.546, 40.2759], + [-110.8355, 31.9107], + [-87.3933, 32.9505], + [-149.3705, 68.6611], + [-89.5373, 46.2339], + [-156.6194, 71.2824], + [-71.2874, 44.0639], + [-104.7456, 40.8155], + [-87.8039, 32.5417], + [-149.2133, 63.8758], + [-84.4686, 31.1948], + [-96.6129, 39.1104], + [-99.1139, 47.1591], + [-99.2531, 47.1298], + [-111.7979, 40.7839], + [-119.0274, 36.9559], + [-88.1589, 31.8534], + [-105.9154, 39.8914], + [-89.7048, 45.9983], + [-121.9338, 45.7908], [-88.1612, 31.8539], [-80.5248, 37.3783], [-105.5824, 40.0543], @@ -96,11 +89,18 @@ [-89.5857, 45.4937], [-121.9519, 45.8205], [-122.3303, 45.7624], - [-83.5019, 35.689] + [-83.5019, 35.689], + [-111.5081, 33.751], + [-84.2793, 35.9574], + [-119.2575, 37.0597], + [-110.5871, 44.9501], + [-96.6242, 34.4442], + [-89.4737, 46.2097], + [-83.5038, 35.6904] ] }, "properties": { - "description": "\nmodel info: NA\n\nSites: OKSR, PRIN, SUGG, TOOK, ARIK, BARC, CARI, COMO, GUIL, LEWI, MCDI, GUAN, HARV, LAJA, MOAB, PUUM, SERC, SJER, WOOD, BLAN, DSNY, PRLA, PRPO, REDB, TECR, TOMB, WLOU, LIRO, MART, HEAL, JERC, KONA, ONAQ, OSBS, RMNP, SRER, TALL, TOOL, UNDE, BARR, BART, CPER, DELA, MCRA, POSE, BLWA, CUPE, FLNT, HOPB, KING, MAYF, JORN, KONZ, OAES, SCBI, STEI, STER, UKFS, YELL, BONA, CLBJ, DCFS, DEJU, SYCA, WALK, BIGC, BLDE, BLUE, CRAM, LECO, LENO, MLBS, NIWO, NOGP, ORNL, SOAP, TEAK, TREE, WREF, ABBY, GRSM\n\nVariables: Daily Water_temperature, Daily latent_heat_flux, Daily Dissolved_oxygen, Weekly beetle_community_richness, Daily Green_chromatic_coordinate, Daily Red_chromatic_coordinate, Weekly Amblyomma_americanum_population, Daily Chlorophyll_a, Weekly beetle_community_abundance, Daily Net_ecosystem_exchange", + "description": "\nmodel info: NA\n\nSites: LAJA, MOAB, PUUM, SERC, SJER, WOOD, BLAN, DSNY, GUAN, HARV, OKSR, PRIN, SUGG, TOOK, ARIK, BARC, CARI, COMO, GUIL, LEWI, MCDI, KONZ, OAES, SCBI, STEI, STER, UKFS, YELL, BONA, CLBJ, DCFS, DEJU, JORN, MCRA, POSE, BLWA, CUPE, FLNT, HOPB, KING, MAYF, ONAQ, OSBS, RMNP, SRER, TALL, TOOL, UNDE, BARR, BART, CPER, DELA, HEAL, JERC, KONA, PRLA, PRPO, REDB, TECR, TOMB, WLOU, LIRO, MART, LENO, MLBS, NIWO, NOGP, ORNL, SOAP, TEAK, TREE, WREF, ABBY, GRSM, SYCA, WALK, BIGC, BLDE, BLUE, CRAM, LECO\n\nVariables: Daily Water_temperature, Daily latent_heat_flux, Daily Dissolved_oxygen, Weekly beetle_community_richness, Daily Green_chromatic_coordinate, Weekly beetle_community_abundance, Weekly Amblyomma_americanum_population, Daily Chlorophyll_a, Daily Net_ecosystem_exchange, Daily Red_chromatic_coordinate", "start_datetime": "2023-11-14", "end_datetime": "2024-02-16", "providers": [ @@ -130,11 +130,11 @@ "Daily Dissolved_oxygen", "Weekly beetle_community_richness", "Daily Green_chromatic_coordinate", - "Daily Red_chromatic_coordinate", + "Weekly beetle_community_abundance", "Weekly Amblyomma_americanum_population", "Daily Chlorophyll_a", - "Weekly beetle_community_abundance", - "Daily Net_ecosystem_exchange" + "Daily Net_ecosystem_exchange", + "Daily Red_chromatic_coordinate" ], "table:columns": [ { @@ -302,9 +302,9 @@ }, "8": { "type": "application/x-parquet", - "title": "Database Access for Daily Red_chromatic_coordinate", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=rcc_90/model_id=tg_precip_lm_all_sites?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=rcc_90/model_id=tg_precip_lm_all_sites?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + "title": "Database Access for Weekly beetle_community_abundance", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=abundance/model_id=tg_precip_lm_all_sites?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=abundance/model_id=tg_precip_lm_all_sites?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, "9": { "type": "application/x-parquet", @@ -319,16 +319,16 @@ "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=chla/model_id=tg_precip_lm_all_sites?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, "11": { - "type": "application/x-parquet", - "title": "Database Access for Weekly beetle_community_abundance", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=abundance/model_id=tg_precip_lm_all_sites?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=abundance/model_id=tg_precip_lm_all_sites?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" - }, - "12": { "type": "application/x-parquet", "title": "Database Access for Daily Net_ecosystem_exchange", "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=nee/model_id=tg_precip_lm_all_sites?endpoint_override=sdsc.osn.xsede.org", "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=nee/model_id=tg_precip_lm_all_sites?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + }, + "12": { + "type": "application/x-parquet", + "title": "Database Access for Daily Red_chromatic_coordinate", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=rcc_90/model_id=tg_precip_lm_all_sites?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=rcc_90/model_id=tg_precip_lm_all_sites?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" } } } diff --git a/catalog/summaries/models/model_items/tg_randfor.json b/catalog/summaries/models/model_items/tg_randfor.json index eb2b664161..10df55a219 100644 --- a/catalog/summaries/models/model_items/tg_randfor.json +++ b/catalog/summaries/models/model_items/tg_randfor.json @@ -16,20 +16,28 @@ "geometry": { "type": "MultiPoint", "coordinates": [ - [-76.56, 38.8901], - [-119.7323, 37.1088], - [-99.2413, 47.1282], - [-78.0418, 39.0337], - [-81.4362, 28.1251], - [-66.8687, 17.9696], - [-72.1727, 42.5369], - [-67.0769, 18.0213], - [-109.3883, 38.2483], - [-155.3173, 19.5531], - [-82.0084, 29.676], - [-82.0177, 29.6878], - [-149.6106, 68.6307], + [-87.7982, 32.5415], + [-66.9868, 18.1135], + [-84.4374, 31.1854], + [-72.3295, 42.4719], + [-96.6038, 39.1051], + [-87.4077, 32.9604], + [-122.1655, 44.2596], + [-78.1473, 38.8943], + [-147.5026, 65.154], + [-97.57, 33.4012], + [-99.1066, 47.1617], + [-145.7514, 63.8811], + [-106.8425, 32.5907], + [-96.5631, 39.1008], + [-99.0588, 35.4106], + [-78.1395, 38.8929], + [-89.5864, 45.5089], + [-103.0293, 40.4619], + [-95.1921, 39.0404], + [-110.5391, 44.9535], [-102.4471, 39.7582], + [-82.0084, 29.676], [-147.504, 65.1532], [-105.5442, 40.035], [-66.7987, 18.1741], @@ -37,30 +45,25 @@ [-96.443, 38.9459], [-149.143, 68.6698], [-97.7823, 33.3785], - [-78.1395, 38.8929], - [-89.5864, 45.5089], - [-103.0293, 40.4619], - [-95.1921, 39.0404], - [-110.5391, 44.9535], - [-147.5026, 65.154], - [-97.57, 33.4012], - [-99.1066, 47.1617], - [-145.7514, 63.8811], - [-106.8425, 32.5907], - [-96.5631, 39.1008], - [-99.0588, 35.4106], - [-87.7982, 32.5415], - [-84.4374, 31.1854], - [-66.9868, 18.1135], - [-72.3295, 42.4719], - [-96.6038, 39.1051], - [-87.4077, 32.9604], - [-122.1655, 44.2596], - [-78.1473, 38.8943], - [-119.2622, 37.0334], - [-119.006, 37.0058], - [-89.5857, 45.4937], - [-121.9519, 45.8205], + [-82.0177, 29.6878], + [-149.6106, 68.6307], + [-78.0418, 39.0337], + [-81.4362, 28.1251], + [-66.8687, 17.9696], + [-72.1727, 42.5369], + [-67.0769, 18.0213], + [-109.3883, 38.2483], + [-155.3173, 19.5531], + [-76.56, 38.8901], + [-119.7323, 37.1088], + [-99.2413, 47.1282], + [-119.2575, 37.0597], + [-110.5871, 44.9501], + [-96.6242, 34.4442], + [-89.4737, 46.2097], + [-83.5038, 35.6904], + [-111.5081, 33.751], + [-84.2793, 35.9574], [-122.3303, 45.7624], [-83.5019, 35.689], [-88.1612, 31.8539], @@ -68,17 +71,18 @@ [-105.5824, 40.0543], [-100.9154, 46.7697], [-84.2826, 35.9641], - [-89.4737, 46.2097], - [-119.2575, 37.0597], - [-110.5871, 44.9501], - [-96.6242, 34.4442], - [-83.5038, 35.6904], - [-111.5081, 33.751], - [-84.2793, 35.9574], - [-110.8355, 31.9107], - [-87.3933, 32.9505], - [-149.3705, 68.6611], - [-89.5373, 46.2339], + [-119.2622, 37.0334], + [-119.006, 37.0058], + [-89.5857, 45.4937], + [-121.9519, 45.8205], + [-89.7048, 45.9983], + [-121.9338, 45.7908], + [-99.1139, 47.1591], + [-99.2531, 47.1298], + [-111.7979, 40.7839], + [-119.0274, 36.9559], + [-88.1589, 31.8534], + [-105.9154, 39.8914], [-156.6194, 71.2824], [-71.2874, 44.0639], [-104.7456, 40.8155], @@ -89,18 +93,14 @@ [-112.4524, 40.1776], [-81.9934, 29.6893], [-105.546, 40.2759], - [-89.7048, 45.9983], - [-99.1139, 47.1591], - [-99.2531, 47.1298], - [-88.1589, 31.8534], - [-121.9338, 45.7908], - [-111.7979, 40.7839], - [-119.0274, 36.9559], - [-105.9154, 39.8914] + [-110.8355, 31.9107], + [-87.3933, 32.9505], + [-149.3705, 68.6611], + [-89.5373, 46.2339] ] }, "properties": { - "description": "\nmodel info: NA\n\nSites: SERC, SJER, WOOD, BLAN, DSNY, GUAN, HARV, LAJA, MOAB, PUUM, BARC, SUGG, TOOK, ARIK, CARI, COMO, GUIL, LEWI, MCDI, OKSR, PRIN, SCBI, STEI, STER, UKFS, YELL, BONA, CLBJ, DCFS, DEJU, JORN, KONZ, OAES, BLWA, FLNT, CUPE, HOPB, KING, MAYF, MCRA, POSE, SOAP, TEAK, TREE, WREF, ABBY, GRSM, LENO, MLBS, NIWO, NOGP, ORNL, CRAM, BIGC, BLDE, BLUE, LECO, SYCA, WALK, SRER, TALL, TOOL, UNDE, BARR, BART, CPER, DELA, HEAL, JERC, KONA, ONAQ, OSBS, RMNP, LIRO, PRLA, PRPO, TOMB, MART, REDB, TECR, WLOU\n\nVariables: Daily Water_temperature, Daily latent_heat_flux, Weekly beetle_community_richness, Daily Dissolved_oxygen, Daily Net_ecosystem_exchange, Daily Chlorophyll_a, Daily Green_chromatic_coordinate, Weekly beetle_community_abundance, Daily Red_chromatic_coordinate, Weekly Amblyomma_americanum_population", + "description": "\nmodel info: NA\n\nSites: BLWA, CUPE, FLNT, HOPB, KING, MAYF, MCRA, POSE, BONA, CLBJ, DCFS, DEJU, JORN, KONZ, OAES, SCBI, STEI, STER, UKFS, YELL, ARIK, BARC, CARI, COMO, GUIL, LEWI, MCDI, OKSR, PRIN, SUGG, TOOK, BLAN, DSNY, GUAN, HARV, LAJA, MOAB, PUUM, SERC, SJER, WOOD, BIGC, BLDE, BLUE, CRAM, LECO, SYCA, WALK, ABBY, GRSM, LENO, MLBS, NIWO, NOGP, ORNL, SOAP, TEAK, TREE, WREF, LIRO, MART, PRLA, PRPO, REDB, TECR, TOMB, WLOU, BARR, BART, CPER, DELA, HEAL, JERC, KONA, ONAQ, OSBS, RMNP, SRER, TALL, TOOL, UNDE\n\nVariables: Daily Water_temperature, Daily Green_chromatic_coordinate, Daily Red_chromatic_coordinate, Daily Net_ecosystem_exchange, Daily Chlorophyll_a, Weekly beetle_community_abundance, Weekly Amblyomma_americanum_population, Daily Dissolved_oxygen, Daily latent_heat_flux, Weekly beetle_community_richness", "start_datetime": "2023-11-14", "end_datetime": "2024-02-15", "providers": [ @@ -126,15 +126,15 @@ "Forecasting", "neon4cast", "Daily Water_temperature", - "Daily latent_heat_flux", - "Weekly beetle_community_richness", - "Daily Dissolved_oxygen", + "Daily Green_chromatic_coordinate", + "Daily Red_chromatic_coordinate", "Daily Net_ecosystem_exchange", "Daily Chlorophyll_a", - "Daily Green_chromatic_coordinate", "Weekly beetle_community_abundance", - "Daily Red_chromatic_coordinate", - "Weekly Amblyomma_americanum_population" + "Weekly Amblyomma_americanum_population", + "Daily Dissolved_oxygen", + "Daily latent_heat_flux", + "Weekly beetle_community_richness" ], "table:columns": [ { @@ -278,57 +278,57 @@ }, "4": { "type": "application/x-parquet", - "title": "Database Access for Daily latent_heat_flux", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=le/model_id=tg_randfor?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=le/model_id=tg_randfor?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + "title": "Database Access for Daily Green_chromatic_coordinate", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=gcc_90/model_id=tg_randfor?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=gcc_90/model_id=tg_randfor?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, "5": { "type": "application/x-parquet", - "title": "Database Access for Weekly beetle_community_richness", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=richness/model_id=tg_randfor?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=richness/model_id=tg_randfor?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + "title": "Database Access for Daily Red_chromatic_coordinate", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=rcc_90/model_id=tg_randfor?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=rcc_90/model_id=tg_randfor?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, "6": { - "type": "application/x-parquet", - "title": "Database Access for Daily Dissolved_oxygen", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=oxygen/model_id=tg_randfor?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=oxygen/model_id=tg_randfor?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" - }, - "7": { "type": "application/x-parquet", "title": "Database Access for Daily Net_ecosystem_exchange", "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=nee/model_id=tg_randfor?endpoint_override=sdsc.osn.xsede.org", "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=nee/model_id=tg_randfor?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, - "8": { + "7": { "type": "application/x-parquet", "title": "Database Access for Daily Chlorophyll_a", "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=chla/model_id=tg_randfor?endpoint_override=sdsc.osn.xsede.org", "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=chla/model_id=tg_randfor?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, + "8": { + "type": "application/x-parquet", + "title": "Database Access for Weekly beetle_community_abundance", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=abundance/model_id=tg_randfor?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=abundance/model_id=tg_randfor?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + }, "9": { "type": "application/x-parquet", - "title": "Database Access for Daily Green_chromatic_coordinate", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=gcc_90/model_id=tg_randfor?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=gcc_90/model_id=tg_randfor?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + "title": "Database Access for Weekly Amblyomma_americanum_population", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=amblyomma_americanum/model_id=tg_randfor?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=amblyomma_americanum/model_id=tg_randfor?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, "10": { "type": "application/x-parquet", - "title": "Database Access for Weekly beetle_community_abundance", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=abundance/model_id=tg_randfor?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=abundance/model_id=tg_randfor?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + "title": "Database Access for Daily Dissolved_oxygen", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=oxygen/model_id=tg_randfor?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=oxygen/model_id=tg_randfor?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, "11": { "type": "application/x-parquet", - "title": "Database Access for Daily Red_chromatic_coordinate", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=rcc_90/model_id=tg_randfor?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=rcc_90/model_id=tg_randfor?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + "title": "Database Access for Daily latent_heat_flux", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=le/model_id=tg_randfor?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=le/model_id=tg_randfor?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, "12": { "type": "application/x-parquet", - "title": "Database Access for Weekly Amblyomma_americanum_population", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=amblyomma_americanum/model_id=tg_randfor?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=amblyomma_americanum/model_id=tg_randfor?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + "title": "Database Access for Weekly beetle_community_richness", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=richness/model_id=tg_randfor?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=richness/model_id=tg_randfor?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" } } } diff --git a/catalog/summaries/models/model_items/tg_randfor_all_sites.json b/catalog/summaries/models/model_items/tg_randfor_all_sites.json index b0867a1f33..ac3c4856fa 100644 --- a/catalog/summaries/models/model_items/tg_randfor_all_sites.json +++ b/catalog/summaries/models/model_items/tg_randfor_all_sites.json @@ -16,6 +16,51 @@ "geometry": { "type": "MultiPoint", "coordinates": [ + [-66.9868, 18.1135], + [-84.4374, 31.1854], + [-72.3295, 42.4719], + [-96.6038, 39.1051], + [-87.4077, 32.9604], + [-122.1655, 44.2596], + [-78.1473, 38.8943], + [-87.7982, 32.5415], + [-147.5026, 65.154], + [-97.57, 33.4012], + [-99.1066, 47.1617], + [-145.7514, 63.8811], + [-106.8425, 32.5907], + [-96.5631, 39.1008], + [-99.0588, 35.4106], + [-78.1395, 38.8929], + [-89.5864, 45.5089], + [-103.0293, 40.4619], + [-95.1921, 39.0404], + [-110.5391, 44.9535], + [-89.7048, 45.9983], + [-121.9338, 45.7908], + [-99.1139, 47.1591], + [-99.2531, 47.1298], + [-111.7979, 40.7839], + [-119.0274, 36.9559], + [-88.1589, 31.8534], + [-105.9154, 39.8914], + [-156.6194, 71.2824], + [-71.2874, 44.0639], + [-104.7456, 40.8155], + [-87.8039, 32.5417], + [-149.2133, 63.8758], + [-84.4686, 31.1948], + [-96.6129, 39.1104], + [-112.4524, 40.1776], + [-81.9934, 29.6893], + [-105.546, 40.2759], + [-110.8355, 31.9107], + [-87.3933, 32.9505], + [-149.3705, 68.6611], + [-89.5373, 46.2339], + [-66.7987, 18.1741], + [-77.9832, 39.0956], + [-96.443, 38.9459], [-149.143, 68.6698], [-97.7823, 33.3785], [-82.0177, 29.6878], @@ -24,9 +69,6 @@ [-82.0084, 29.676], [-147.504, 65.1532], [-105.5442, 40.035], - [-66.7987, 18.1741], - [-77.9832, 39.0956], - [-96.443, 38.9459], [-78.0418, 39.0337], [-81.4362, 28.1251], [-66.8687, 17.9696], @@ -37,13 +79,13 @@ [-76.56, 38.8901], [-119.7323, 37.1088], [-99.2413, 47.1282], + [-89.4737, 46.2097], + [-83.5038, 35.6904], [-111.5081, 33.751], [-84.2793, 35.9574], [-119.2575, 37.0597], [-110.5871, 44.9501], [-96.6242, 34.4442], - [-89.4737, 46.2097], - [-83.5038, 35.6904], [-122.3303, 45.7624], [-83.5019, 35.689], [-88.1612, 31.8539], @@ -54,49 +96,7 @@ [-119.2622, 37.0334], [-119.006, 37.0058], [-89.5857, 45.4937], - [-121.9519, 45.8205], - [-99.1139, 47.1591], - [-99.2531, 47.1298], - [-111.7979, 40.7839], - [-119.0274, 36.9559], - [-88.1589, 31.8534], - [-105.9154, 39.8914], - [-89.7048, 45.9983], - [-121.9338, 45.7908], - [-156.6194, 71.2824], - [-71.2874, 44.0639], - [-104.7456, 40.8155], - [-87.8039, 32.5417], - [-149.2133, 63.8758], - [-84.4686, 31.1948], - [-96.6129, 39.1104], - [-112.4524, 40.1776], - [-81.9934, 29.6893], - [-105.546, 40.2759], - [-110.8355, 31.9107], - [-87.3933, 32.9505], - [-149.3705, 68.6611], - [-89.5373, 46.2339], - [-78.1473, 38.8943], - [-87.7982, 32.5415], - [-66.9868, 18.1135], - [-84.4374, 31.1854], - [-72.3295, 42.4719], - [-96.6038, 39.1051], - [-87.4077, 32.9604], - [-122.1655, 44.2596], - [-147.5026, 65.154], - [-97.57, 33.4012], - [-99.1066, 47.1617], - [-145.7514, 63.8811], - [-106.8425, 32.5907], - [-96.5631, 39.1008], - [-99.0588, 35.4106], - [-78.1395, 38.8929], - [-89.5864, 45.5089], - [-103.0293, 40.4619], - [-95.1921, 39.0404], - [-110.5391, 44.9535] + [-121.9519, 45.8205] ] }, "properties": { @@ -125,12 +125,12 @@ "keywords": [ "Forecasting", "neon4cast", + "Daily Dissolved_oxygen", + "Weekly beetle_community_richness", "Daily Water_temperature", - "Weekly Amblyomma_americanum_population", "Daily Red_chromatic_coordinate", "Weekly beetle_community_abundance", - "Daily Dissolved_oxygen", - "Weekly beetle_community_richness" + "Weekly Amblyomma_americanum_population" ], "table:columns": [ { @@ -268,39 +268,39 @@ }, "3": { "type": "application/x-parquet", - "title": "Database Access for Daily Water_temperature", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=temperature/model_id=tg_randfor_all_sites?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=temperature/model_id=tg_randfor_all_sites?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + "title": "Database Access for Daily Dissolved_oxygen", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=oxygen/model_id=tg_randfor_all_sites?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=oxygen/model_id=tg_randfor_all_sites?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, "4": { "type": "application/x-parquet", - "title": "Database Access for Weekly Amblyomma_americanum_population", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=amblyomma_americanum/model_id=tg_randfor_all_sites?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=amblyomma_americanum/model_id=tg_randfor_all_sites?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + "title": "Database Access for Weekly beetle_community_richness", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=richness/model_id=tg_randfor_all_sites?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=richness/model_id=tg_randfor_all_sites?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, "5": { + "type": "application/x-parquet", + "title": "Database Access for Daily Water_temperature", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=temperature/model_id=tg_randfor_all_sites?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=temperature/model_id=tg_randfor_all_sites?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + }, + "6": { "type": "application/x-parquet", "title": "Database Access for Daily Red_chromatic_coordinate", "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=rcc_90/model_id=tg_randfor_all_sites?endpoint_override=sdsc.osn.xsede.org", "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=rcc_90/model_id=tg_randfor_all_sites?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, - "6": { + "7": { "type": "application/x-parquet", "title": "Database Access for Weekly beetle_community_abundance", "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=abundance/model_id=tg_randfor_all_sites?endpoint_override=sdsc.osn.xsede.org", "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=abundance/model_id=tg_randfor_all_sites?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, - "7": { - "type": "application/x-parquet", - "title": "Database Access for Daily Dissolved_oxygen", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=oxygen/model_id=tg_randfor_all_sites?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=oxygen/model_id=tg_randfor_all_sites?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" - }, "8": { "type": "application/x-parquet", - "title": "Database Access for Weekly beetle_community_richness", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=richness/model_id=tg_randfor_all_sites?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=richness/model_id=tg_randfor_all_sites?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + "title": "Database Access for Weekly Amblyomma_americanum_population", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=amblyomma_americanum/model_id=tg_randfor_all_sites?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=amblyomma_americanum/model_id=tg_randfor_all_sites?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" } } } diff --git a/catalog/summaries/models/model_items/tg_tbats.json b/catalog/summaries/models/model_items/tg_tbats.json index bc50c7d8f7..bd5f8bb6f6 100644 --- a/catalog/summaries/models/model_items/tg_tbats.json +++ b/catalog/summaries/models/model_items/tg_tbats.json @@ -16,31 +16,24 @@ "geometry": { "type": "MultiPoint", "coordinates": [ - [-99.1066, 47.1617], - [-145.7514, 63.8811], - [-106.8425, 32.5907], - [-96.5631, 39.1008], - [-99.0588, 35.4106], - [-78.1395, 38.8929], - [-89.5864, 45.5089], - [-103.0293, 40.4619], - [-95.1921, 39.0404], - [-110.5391, 44.9535], - [-147.5026, 65.154], - [-97.57, 33.4012], - [-87.7982, 32.5415], - [-84.4374, 31.1854], - [-66.9868, 18.1135], - [-72.3295, 42.4719], - [-96.6038, 39.1051], - [-87.4077, 32.9604], - [-122.1655, 44.2596], - [-78.1473, 38.8943], - [-104.7456, 40.8155], - [-87.8039, 32.5417], - [-149.2133, 63.8758], - [-84.4686, 31.1948], - [-96.6129, 39.1104], + [-105.5824, 40.0543], + [-100.9154, 46.7697], + [-84.2826, 35.9641], + [-119.2622, 37.0334], + [-119.006, 37.0058], + [-89.5857, 45.4937], + [-121.9519, 45.8205], + [-122.3303, 45.7624], + [-83.5019, 35.689], + [-88.1612, 31.8539], + [-80.5248, 37.3783], + [-119.2575, 37.0597], + [-110.5871, 44.9501], + [-96.6242, 34.4442], + [-89.4737, 46.2097], + [-83.5038, 35.6904], + [-111.5081, 33.751], + [-84.2793, 35.9574], [-112.4524, 40.1776], [-81.9934, 29.6893], [-105.546, 40.2759], @@ -50,57 +43,64 @@ [-89.5373, 46.2339], [-156.6194, 71.2824], [-71.2874, 44.0639], + [-104.7456, 40.8155], + [-87.8039, 32.5417], + [-149.2133, 63.8758], + [-84.4686, 31.1948], + [-96.6129, 39.1104], [-89.7048, 45.9983], + [-121.9338, 45.7908], [-99.1139, 47.1591], [-99.2531, 47.1298], - [-88.1589, 31.8534], - [-121.9338, 45.7908], [-111.7979, 40.7839], [-119.0274, 36.9559], + [-88.1589, 31.8534], [-105.9154, 39.8914], - [-81.4362, 28.1251], - [-66.8687, 17.9696], - [-72.1727, 42.5369], - [-67.0769, 18.0213], [-109.3883, 38.2483], [-155.3173, 19.5531], [-76.56, 38.8901], [-119.7323, 37.1088], [-99.2413, 47.1282], [-78.0418, 39.0337], - [-82.0177, 29.6878], - [-149.6106, 68.6307], + [-81.4362, 28.1251], + [-66.8687, 17.9696], + [-72.1727, 42.5369], + [-67.0769, 18.0213], + [-102.4471, 39.7582], [-82.0084, 29.676], + [-147.504, 65.1532], + [-105.5442, 40.035], [-66.7987, 18.1741], [-77.9832, 39.0956], [-96.443, 38.9459], [-149.143, 68.6698], [-97.7823, 33.3785], - [-102.4471, 39.7582], - [-147.504, 65.1532], - [-105.5442, 40.035], - [-83.5019, 35.689], - [-88.1612, 31.8539], - [-80.5248, 37.3783], - [-105.5824, 40.0543], - [-100.9154, 46.7697], - [-84.2826, 35.9641], - [-119.2622, 37.0334], - [-119.006, 37.0058], - [-89.5857, 45.4937], - [-121.9519, 45.8205], - [-122.3303, 45.7624], - [-89.4737, 46.2097], - [-83.5038, 35.6904], - [-111.5081, 33.751], - [-84.2793, 35.9574], - [-119.2575, 37.0597], - [-110.5871, 44.9501], - [-96.6242, 34.4442] + [-82.0177, 29.6878], + [-149.6106, 68.6307], + [-99.0588, 35.4106], + [-78.1395, 38.8929], + [-89.5864, 45.5089], + [-103.0293, 40.4619], + [-95.1921, 39.0404], + [-110.5391, 44.9535], + [-147.5026, 65.154], + [-97.57, 33.4012], + [-99.1066, 47.1617], + [-145.7514, 63.8811], + [-106.8425, 32.5907], + [-96.5631, 39.1008], + [-87.7982, 32.5415], + [-66.9868, 18.1135], + [-84.4374, 31.1854], + [-72.3295, 42.4719], + [-96.6038, 39.1051], + [-87.4077, 32.9604], + [-122.1655, 44.2596], + [-78.1473, 38.8943] ] }, "properties": { - "description": "\nmodel info: NA\n\nSites: DCFS, DEJU, JORN, KONZ, OAES, SCBI, STEI, STER, UKFS, YELL, BONA, CLBJ, BLWA, FLNT, CUPE, HOPB, KING, MAYF, MCRA, POSE, CPER, DELA, HEAL, JERC, KONA, ONAQ, OSBS, RMNP, SRER, TALL, TOOL, UNDE, BARR, BART, LIRO, PRLA, PRPO, TOMB, MART, REDB, TECR, WLOU, DSNY, GUAN, HARV, LAJA, MOAB, PUUM, SERC, SJER, WOOD, BLAN, SUGG, TOOK, BARC, GUIL, LEWI, MCDI, OKSR, PRIN, ARIK, CARI, COMO, GRSM, LENO, MLBS, NIWO, NOGP, ORNL, SOAP, TEAK, TREE, WREF, ABBY, CRAM, LECO, SYCA, WALK, BIGC, BLDE, BLUE\n\nVariables: Daily Water_temperature, Daily Red_chromatic_coordinate, Daily Green_chromatic_coordinate, Weekly beetle_community_abundance, Weekly Amblyomma_americanum_population, Daily Net_ecosystem_exchange, Daily Chlorophyll_a, Daily latent_heat_flux, Daily Dissolved_oxygen, Weekly beetle_community_richness", + "description": "\nmodel info: NA\n\nSites: NIWO, NOGP, ORNL, SOAP, TEAK, TREE, WREF, ABBY, GRSM, LENO, MLBS, BIGC, BLDE, BLUE, CRAM, LECO, SYCA, WALK, ONAQ, OSBS, RMNP, SRER, TALL, TOOL, UNDE, BARR, BART, CPER, DELA, HEAL, JERC, KONA, LIRO, MART, PRLA, PRPO, REDB, TECR, TOMB, WLOU, MOAB, PUUM, SERC, SJER, WOOD, BLAN, DSNY, GUAN, HARV, LAJA, ARIK, BARC, CARI, COMO, GUIL, LEWI, MCDI, OKSR, PRIN, SUGG, TOOK, OAES, SCBI, STEI, STER, UKFS, YELL, BONA, CLBJ, DCFS, DEJU, JORN, KONZ, BLWA, CUPE, FLNT, HOPB, KING, MAYF, MCRA, POSE\n\nVariables: Daily Net_ecosystem_exchange, Daily Green_chromatic_coordinate, Daily Red_chromatic_coordinate, Weekly Amblyomma_americanum_population, Weekly beetle_community_abundance, Daily Chlorophyll_a, Daily Water_temperature, Daily Dissolved_oxygen, Weekly beetle_community_richness, Daily latent_heat_flux", "start_datetime": "2023-01-01", "end_datetime": "2024-12-30", "providers": [ @@ -125,16 +125,16 @@ "keywords": [ "Forecasting", "neon4cast", - "Daily Water_temperature", - "Daily Red_chromatic_coordinate", + "Daily Net_ecosystem_exchange", "Daily Green_chromatic_coordinate", - "Weekly beetle_community_abundance", + "Daily Red_chromatic_coordinate", "Weekly Amblyomma_americanum_population", - "Daily Net_ecosystem_exchange", + "Weekly beetle_community_abundance", "Daily Chlorophyll_a", - "Daily latent_heat_flux", + "Daily Water_temperature", "Daily Dissolved_oxygen", - "Weekly beetle_community_richness" + "Weekly beetle_community_richness", + "Daily latent_heat_flux" ], "table:columns": [ { @@ -272,63 +272,63 @@ }, "3": { "type": "application/x-parquet", - "title": "Database Access for Daily Water_temperature", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=temperature/model_id=tg_tbats?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=temperature/model_id=tg_tbats?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + "title": "Database Access for Daily Net_ecosystem_exchange", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=nee/model_id=tg_tbats?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=nee/model_id=tg_tbats?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, "4": { - "type": "application/x-parquet", - "title": "Database Access for Daily Red_chromatic_coordinate", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=rcc_90/model_id=tg_tbats?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=rcc_90/model_id=tg_tbats?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" - }, - "5": { "type": "application/x-parquet", "title": "Database Access for Daily Green_chromatic_coordinate", "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=gcc_90/model_id=tg_tbats?endpoint_override=sdsc.osn.xsede.org", "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=gcc_90/model_id=tg_tbats?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, - "6": { + "5": { "type": "application/x-parquet", - "title": "Database Access for Weekly beetle_community_abundance", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=abundance/model_id=tg_tbats?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=abundance/model_id=tg_tbats?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + "title": "Database Access for Daily Red_chromatic_coordinate", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=rcc_90/model_id=tg_tbats?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=rcc_90/model_id=tg_tbats?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, - "7": { + "6": { "type": "application/x-parquet", "title": "Database Access for Weekly Amblyomma_americanum_population", "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=amblyomma_americanum/model_id=tg_tbats?endpoint_override=sdsc.osn.xsede.org", "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=amblyomma_americanum/model_id=tg_tbats?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, - "8": { + "7": { "type": "application/x-parquet", - "title": "Database Access for Daily Net_ecosystem_exchange", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=nee/model_id=tg_tbats?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=nee/model_id=tg_tbats?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + "title": "Database Access for Weekly beetle_community_abundance", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=abundance/model_id=tg_tbats?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=abundance/model_id=tg_tbats?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, - "9": { + "8": { "type": "application/x-parquet", "title": "Database Access for Daily Chlorophyll_a", "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=chla/model_id=tg_tbats?endpoint_override=sdsc.osn.xsede.org", "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=chla/model_id=tg_tbats?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, - "10": { + "9": { "type": "application/x-parquet", - "title": "Database Access for Daily latent_heat_flux", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=le/model_id=tg_tbats?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=le/model_id=tg_tbats?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + "title": "Database Access for Daily Water_temperature", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=temperature/model_id=tg_tbats?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=temperature/model_id=tg_tbats?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, - "11": { + "10": { "type": "application/x-parquet", "title": "Database Access for Daily Dissolved_oxygen", "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=oxygen/model_id=tg_tbats?endpoint_override=sdsc.osn.xsede.org", "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=oxygen/model_id=tg_tbats?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, - "12": { + "11": { "type": "application/x-parquet", "title": "Database Access for Weekly beetle_community_richness", "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=richness/model_id=tg_tbats?endpoint_override=sdsc.osn.xsede.org", "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=richness/model_id=tg_tbats?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + }, + "12": { + "type": "application/x-parquet", + "title": "Database Access for Daily latent_heat_flux", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=le/model_id=tg_tbats?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=le/model_id=tg_tbats?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" } } } diff --git a/catalog/summaries/models/model_items/tg_temp_lm.json b/catalog/summaries/models/model_items/tg_temp_lm.json index e534ac74e9..0942a70207 100644 --- a/catalog/summaries/models/model_items/tg_temp_lm.json +++ b/catalog/summaries/models/model_items/tg_temp_lm.json @@ -16,91 +16,91 @@ "geometry": { "type": "MultiPoint", "coordinates": [ - [-87.7982, 32.5415], - [-84.4374, 31.1854], - [-147.5026, 65.154], - [-97.57, 33.4012], - [-99.1066, 47.1617], - [-145.7514, 63.8811], + [-88.1612, 31.8539], + [-80.5248, 37.3783], + [-105.5824, 40.0543], + [-100.9154, 46.7697], + [-84.2826, 35.9641], + [-119.2622, 37.0334], + [-119.006, 37.0058], + [-89.5857, 45.4937], + [-121.9519, 45.8205], + [-122.3303, 45.7624], + [-83.5019, 35.689], + [-83.5038, 35.6904], + [-111.5081, 33.751], + [-89.4737, 46.2097], + [-119.2575, 37.0597], + [-110.5871, 44.9501], + [-96.6242, 34.4442], + [-84.2793, 35.9574], [-106.8425, 32.5907], [-96.5631, 39.1008], [-99.0588, 35.4106], [-78.1395, 38.8929], - [-95.1921, 39.0404], - [-110.5391, 44.9535], [-89.5864, 45.5089], [-103.0293, 40.4619], + [-95.1921, 39.0404], + [-110.5391, 44.9535], + [-147.5026, 65.154], + [-97.57, 33.4012], + [-99.1066, 47.1617], + [-145.7514, 63.8811], + [-84.4374, 31.1854], [-72.3295, 42.4719], [-96.6038, 39.1051], [-87.4077, 32.9604], [-122.1655, 44.2596], [-78.1473, 38.8943], + [-87.7982, 32.5415], [-66.9868, 18.1135], - [-82.0084, 29.676], - [-82.0177, 29.6878], - [-149.6106, 68.6307], - [-78.0418, 39.0337], - [-81.4362, 28.1251], - [-66.8687, 17.9696], - [-72.1727, 42.5369], - [-67.0769, 18.0213], - [-109.3883, 38.2483], - [-155.3173, 19.5531], - [-99.2413, 47.1282], - [-76.56, 38.8901], - [-119.7323, 37.1088], - [-66.7987, 18.1741], - [-77.9832, 39.0956], - [-96.443, 38.9459], - [-149.143, 68.6698], - [-97.7823, 33.3785], - [-102.4471, 39.7582], - [-147.504, 65.1532], - [-105.5442, 40.035], - [-89.7048, 45.9983], - [-99.1139, 47.1591], - [-99.2531, 47.1298], - [-88.1589, 31.8534], - [-156.6194, 71.2824], - [-71.2874, 44.0639], - [-104.7456, 40.8155], - [-87.8039, 32.5417], - [-149.2133, 63.8758], [-84.4686, 31.1948], [-96.6129, 39.1104], [-112.4524, 40.1776], [-81.9934, 29.6893], [-105.546, 40.2759], - [-89.5373, 46.2339], [-110.8355, 31.9107], [-87.3933, 32.9505], [-149.3705, 68.6611], + [-89.5373, 46.2339], + [-156.6194, 71.2824], + [-71.2874, 44.0639], + [-104.7456, 40.8155], + [-87.8039, 32.5417], + [-149.2133, 63.8758], + [-89.7048, 45.9983], [-121.9338, 45.7908], + [-99.1139, 47.1591], + [-99.2531, 47.1298], [-111.7979, 40.7839], [-119.0274, 36.9559], + [-88.1589, 31.8534], [-105.9154, 39.8914], - [-89.4737, 46.2097], - [-122.3303, 45.7624], - [-83.5019, 35.689], - [-88.1612, 31.8539], - [-80.5248, 37.3783], - [-105.5824, 40.0543], - [-100.9154, 46.7697], - [-84.2826, 35.9641], - [-89.5857, 45.4937], - [-121.9519, 45.8205], - [-119.2622, 37.0334], - [-119.006, 37.0058], - [-83.5038, 35.6904], - [-111.5081, 33.751], - [-84.2793, 35.9574], - [-119.2575, 37.0597], - [-110.5871, 44.9501], - [-96.6242, 34.4442] + [-67.0769, 18.0213], + [-109.3883, 38.2483], + [-155.3173, 19.5531], + [-76.56, 38.8901], + [-119.7323, 37.1088], + [-99.2413, 47.1282], + [-78.0418, 39.0337], + [-81.4362, 28.1251], + [-66.8687, 17.9696], + [-72.1727, 42.5369], + [-66.7987, 18.1741], + [-77.9832, 39.0956], + [-96.443, 38.9459], + [-149.143, 68.6698], + [-97.7823, 33.3785], + [-82.0177, 29.6878], + [-149.6106, 68.6307], + [-82.0084, 29.676], + [-102.4471, 39.7582], + [-147.504, 65.1532], + [-105.5442, 40.035] ] }, "properties": { - "description": "\nmodel info: NA\n\nSites: BLWA, FLNT, BONA, CLBJ, DCFS, DEJU, JORN, KONZ, OAES, SCBI, UKFS, YELL, STEI, STER, HOPB, KING, MAYF, MCRA, POSE, CUPE, BARC, SUGG, TOOK, BLAN, DSNY, GUAN, HARV, LAJA, MOAB, PUUM, WOOD, SERC, SJER, GUIL, LEWI, MCDI, OKSR, PRIN, ARIK, CARI, COMO, LIRO, PRLA, PRPO, TOMB, BARR, BART, CPER, DELA, HEAL, JERC, KONA, ONAQ, OSBS, RMNP, UNDE, SRER, TALL, TOOL, MART, REDB, TECR, WLOU, CRAM, ABBY, GRSM, LENO, MLBS, NIWO, NOGP, ORNL, TREE, WREF, SOAP, TEAK, LECO, SYCA, WALK, BIGC, BLDE, BLUE\n\nVariables: Daily Water_temperature, Weekly beetle_community_richness, Daily latent_heat_flux, Daily Dissolved_oxygen, Daily Chlorophyll_a, Daily Net_ecosystem_exchange, Daily Green_chromatic_coordinate, Daily Red_chromatic_coordinate, Weekly beetle_community_abundance, Weekly Amblyomma_americanum_population", + "description": "\nmodel info: NA\n\nSites: LENO, MLBS, NIWO, NOGP, ORNL, SOAP, TEAK, TREE, WREF, ABBY, GRSM, LECO, SYCA, CRAM, BIGC, BLDE, BLUE, WALK, JORN, KONZ, OAES, SCBI, STEI, STER, UKFS, YELL, BONA, CLBJ, DCFS, DEJU, FLNT, HOPB, KING, MAYF, MCRA, POSE, BLWA, CUPE, JERC, KONA, ONAQ, OSBS, RMNP, SRER, TALL, TOOL, UNDE, BARR, BART, CPER, DELA, HEAL, LIRO, MART, PRLA, PRPO, REDB, TECR, TOMB, WLOU, LAJA, MOAB, PUUM, SERC, SJER, WOOD, BLAN, DSNY, GUAN, HARV, GUIL, LEWI, MCDI, OKSR, PRIN, SUGG, TOOK, BARC, ARIK, CARI, COMO\n\nVariables: Daily Chlorophyll_a, Daily Green_chromatic_coordinate, Daily Net_ecosystem_exchange, Weekly beetle_community_abundance, Daily Red_chromatic_coordinate, Weekly Amblyomma_americanum_population, Daily Water_temperature, Daily latent_heat_flux, Daily Dissolved_oxygen, Weekly beetle_community_richness", "start_datetime": "2023-11-14", "end_datetime": "2024-02-16", "providers": [ @@ -125,16 +125,16 @@ "keywords": [ "Forecasting", "neon4cast", - "Daily Water_temperature", - "Weekly beetle_community_richness", - "Daily latent_heat_flux", - "Daily Dissolved_oxygen", "Daily Chlorophyll_a", - "Daily Net_ecosystem_exchange", "Daily Green_chromatic_coordinate", - "Daily Red_chromatic_coordinate", + "Daily Net_ecosystem_exchange", "Weekly beetle_community_abundance", - "Weekly Amblyomma_americanum_population" + "Daily Red_chromatic_coordinate", + "Weekly Amblyomma_americanum_population", + "Daily Water_temperature", + "Daily latent_heat_flux", + "Daily Dissolved_oxygen", + "Weekly beetle_community_richness" ], "table:columns": [ { @@ -272,63 +272,63 @@ }, "3": { "type": "application/x-parquet", - "title": "Database Access for Daily Water_temperature", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=temperature/model_id=tg_temp_lm?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=temperature/model_id=tg_temp_lm?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + "title": "Database Access for Daily Chlorophyll_a", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=chla/model_id=tg_temp_lm?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=chla/model_id=tg_temp_lm?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, "4": { "type": "application/x-parquet", - "title": "Database Access for Weekly beetle_community_richness", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=richness/model_id=tg_temp_lm?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=richness/model_id=tg_temp_lm?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + "title": "Database Access for Daily Green_chromatic_coordinate", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=gcc_90/model_id=tg_temp_lm?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=gcc_90/model_id=tg_temp_lm?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, "5": { "type": "application/x-parquet", - "title": "Database Access for Daily latent_heat_flux", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=le/model_id=tg_temp_lm?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=le/model_id=tg_temp_lm?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + "title": "Database Access for Daily Net_ecosystem_exchange", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=nee/model_id=tg_temp_lm?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=nee/model_id=tg_temp_lm?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, "6": { "type": "application/x-parquet", - "title": "Database Access for Daily Dissolved_oxygen", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=oxygen/model_id=tg_temp_lm?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=oxygen/model_id=tg_temp_lm?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + "title": "Database Access for Weekly beetle_community_abundance", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=abundance/model_id=tg_temp_lm?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=abundance/model_id=tg_temp_lm?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, "7": { "type": "application/x-parquet", - "title": "Database Access for Daily Chlorophyll_a", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=chla/model_id=tg_temp_lm?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=chla/model_id=tg_temp_lm?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + "title": "Database Access for Daily Red_chromatic_coordinate", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=rcc_90/model_id=tg_temp_lm?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=rcc_90/model_id=tg_temp_lm?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, "8": { "type": "application/x-parquet", - "title": "Database Access for Daily Net_ecosystem_exchange", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=nee/model_id=tg_temp_lm?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=nee/model_id=tg_temp_lm?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + "title": "Database Access for Weekly Amblyomma_americanum_population", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=amblyomma_americanum/model_id=tg_temp_lm?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=amblyomma_americanum/model_id=tg_temp_lm?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, "9": { "type": "application/x-parquet", - "title": "Database Access for Daily Green_chromatic_coordinate", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=gcc_90/model_id=tg_temp_lm?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=gcc_90/model_id=tg_temp_lm?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + "title": "Database Access for Daily Water_temperature", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=temperature/model_id=tg_temp_lm?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=temperature/model_id=tg_temp_lm?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, "10": { "type": "application/x-parquet", - "title": "Database Access for Daily Red_chromatic_coordinate", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=rcc_90/model_id=tg_temp_lm?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=rcc_90/model_id=tg_temp_lm?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + "title": "Database Access for Daily latent_heat_flux", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=le/model_id=tg_temp_lm?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=le/model_id=tg_temp_lm?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, "11": { "type": "application/x-parquet", - "title": "Database Access for Weekly beetle_community_abundance", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=abundance/model_id=tg_temp_lm?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=abundance/model_id=tg_temp_lm?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + "title": "Database Access for Daily Dissolved_oxygen", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=oxygen/model_id=tg_temp_lm?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=oxygen/model_id=tg_temp_lm?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, "12": { "type": "application/x-parquet", - "title": "Database Access for Weekly Amblyomma_americanum_population", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=amblyomma_americanum/model_id=tg_temp_lm?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=amblyomma_americanum/model_id=tg_temp_lm?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + "title": "Database Access for Weekly beetle_community_richness", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=richness/model_id=tg_temp_lm?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=richness/model_id=tg_temp_lm?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" } } } diff --git a/catalog/summaries/models/model_items/tg_temp_lm_all_sites.json b/catalog/summaries/models/model_items/tg_temp_lm_all_sites.json index 7606f11864..4396e7357f 100644 --- a/catalog/summaries/models/model_items/tg_temp_lm_all_sites.json +++ b/catalog/summaries/models/model_items/tg_temp_lm_all_sites.json @@ -16,52 +16,39 @@ "geometry": { "type": "MultiPoint", "coordinates": [ - [-87.7982, 32.5415], - [-84.4374, 31.1854], - [-66.9868, 18.1135], - [-72.3295, 42.4719], - [-96.6038, 39.1051], - [-87.4077, 32.9604], - [-122.1655, 44.2596], - [-78.1473, 38.8943], - [-96.5631, 39.1008], - [-78.1395, 38.8929], - [-95.1921, 39.0404], [-89.5864, 45.5089], [-103.0293, 40.4619], + [-95.1921, 39.0404], [-110.5391, 44.9535], [-147.5026, 65.154], [-97.57, 33.4012], [-99.1066, 47.1617], [-145.7514, 63.8811], [-106.8425, 32.5907], + [-96.5631, 39.1008], [-99.0588, 35.4106], - [-89.7048, 45.9983], - [-99.1139, 47.1591], - [-99.2531, 47.1298], - [-88.1589, 31.8534], - [-105.9154, 39.8914], - [-121.9338, 45.7908], - [-111.7979, 40.7839], - [-119.0274, 36.9559], - [-81.9934, 29.6893], - [-87.3933, 32.9505], - [-110.8355, 31.9107], - [-149.3705, 68.6611], - [-89.5373, 46.2339], - [-156.6194, 71.2824], - [-71.2874, 44.0639], - [-104.7456, 40.8155], - [-87.8039, 32.5417], - [-149.2133, 63.8758], - [-84.4686, 31.1948], - [-96.6129, 39.1104], - [-112.4524, 40.1776], - [-105.546, 40.2759], - [-82.0084, 29.676], - [-82.0177, 29.6878], + [-78.1395, 38.8929], + [-87.7982, 32.5415], + [-66.9868, 18.1135], + [-84.4374, 31.1854], + [-72.3295, 42.4719], + [-96.6038, 39.1051], + [-87.4077, 32.9604], + [-122.1655, 44.2596], + [-78.1473, 38.8943], + [-99.2413, 47.1282], + [-78.0418, 39.0337], + [-81.4362, 28.1251], + [-66.8687, 17.9696], + [-72.1727, 42.5369], + [-67.0769, 18.0213], + [-109.3883, 38.2483], + [-155.3173, 19.5531], + [-76.56, 38.8901], + [-119.7323, 37.1088], [-149.6106, 68.6307], [-102.4471, 39.7582], + [-82.0084, 29.676], [-147.504, 65.1532], [-105.5442, 40.035], [-66.7987, 18.1741], @@ -69,38 +56,51 @@ [-96.443, 38.9459], [-149.143, 68.6698], [-97.7823, 33.3785], - [-78.0418, 39.0337], - [-76.56, 38.8901], - [-99.2413, 47.1282], - [-81.4362, 28.1251], - [-66.8687, 17.9696], - [-72.1727, 42.5369], - [-67.0769, 18.0213], - [-109.3883, 38.2483], - [-155.3173, 19.5531], - [-119.7323, 37.1088], - [-89.4737, 46.2097], - [-84.2793, 35.9574], - [-119.2575, 37.0597], - [-110.5871, 44.9501], - [-96.6242, 34.4442], - [-83.5038, 35.6904], - [-111.5081, 33.751], - [-88.1612, 31.8539], - [-84.2826, 35.9641], + [-82.0177, 29.6878], [-119.2622, 37.0334], [-119.006, 37.0058], [-89.5857, 45.4937], [-121.9519, 45.8205], [-122.3303, 45.7624], [-83.5019, 35.689], + [-88.1612, 31.8539], [-80.5248, 37.3783], [-105.5824, 40.0543], - [-100.9154, 46.7697] + [-100.9154, 46.7697], + [-84.2826, 35.9641], + [-84.2793, 35.9574], + [-119.2575, 37.0597], + [-110.5871, 44.9501], + [-96.6242, 34.4442], + [-89.4737, 46.2097], + [-83.5038, 35.6904], + [-111.5081, 33.751], + [-110.8355, 31.9107], + [-87.3933, 32.9505], + [-149.3705, 68.6611], + [-89.5373, 46.2339], + [-156.6194, 71.2824], + [-71.2874, 44.0639], + [-104.7456, 40.8155], + [-87.8039, 32.5417], + [-149.2133, 63.8758], + [-84.4686, 31.1948], + [-96.6129, 39.1104], + [-112.4524, 40.1776], + [-81.9934, 29.6893], + [-105.546, 40.2759], + [-88.1589, 31.8534], + [-105.9154, 39.8914], + [-89.7048, 45.9983], + [-121.9338, 45.7908], + [-99.1139, 47.1591], + [-99.2531, 47.1298], + [-111.7979, 40.7839], + [-119.0274, 36.9559] ] }, "properties": { - "description": "\nmodel info: NA\n\nSites: BLWA, FLNT, CUPE, HOPB, KING, MAYF, MCRA, POSE, KONZ, SCBI, UKFS, STEI, STER, YELL, BONA, CLBJ, DCFS, DEJU, JORN, OAES, LIRO, PRLA, PRPO, TOMB, WLOU, MART, REDB, TECR, OSBS, TALL, SRER, TOOL, UNDE, BARR, BART, CPER, DELA, HEAL, JERC, KONA, ONAQ, RMNP, BARC, SUGG, TOOK, ARIK, CARI, COMO, GUIL, LEWI, MCDI, OKSR, PRIN, BLAN, SERC, WOOD, DSNY, GUAN, HARV, LAJA, MOAB, PUUM, SJER, CRAM, WALK, BIGC, BLDE, BLUE, LECO, SYCA, LENO, ORNL, SOAP, TEAK, TREE, WREF, ABBY, GRSM, MLBS, NIWO, NOGP\n\nVariables: Daily Water_temperature, Daily latent_heat_flux, Daily Dissolved_oxygen, Weekly beetle_community_richness, Daily Chlorophyll_a, Daily Red_chromatic_coordinate, Daily Green_chromatic_coordinate, Daily Net_ecosystem_exchange, Weekly beetle_community_abundance, Weekly Amblyomma_americanum_population", + "description": "\nmodel info: NA\n\nSites: STEI, STER, UKFS, YELL, BONA, CLBJ, DCFS, DEJU, JORN, KONZ, OAES, SCBI, BLWA, CUPE, FLNT, HOPB, KING, MAYF, MCRA, POSE, WOOD, BLAN, DSNY, GUAN, HARV, LAJA, MOAB, PUUM, SERC, SJER, TOOK, ARIK, BARC, CARI, COMO, GUIL, LEWI, MCDI, OKSR, PRIN, SUGG, SOAP, TEAK, TREE, WREF, ABBY, GRSM, LENO, MLBS, NIWO, NOGP, ORNL, WALK, BIGC, BLDE, BLUE, CRAM, LECO, SYCA, SRER, TALL, TOOL, UNDE, BARR, BART, CPER, DELA, HEAL, JERC, KONA, ONAQ, OSBS, RMNP, TOMB, WLOU, LIRO, MART, PRLA, PRPO, REDB, TECR\n\nVariables: Daily Water_temperature, Daily Chlorophyll_a, Daily Green_chromatic_coordinate, Daily Red_chromatic_coordinate, Daily Net_ecosystem_exchange, Weekly beetle_community_abundance, Weekly Amblyomma_americanum_population, Daily latent_heat_flux, Weekly beetle_community_richness, Daily Dissolved_oxygen", "start_datetime": "2023-11-14", "end_datetime": "2024-02-16", "providers": [ @@ -126,15 +126,15 @@ "Forecasting", "neon4cast", "Daily Water_temperature", - "Daily latent_heat_flux", - "Daily Dissolved_oxygen", - "Weekly beetle_community_richness", "Daily Chlorophyll_a", - "Daily Red_chromatic_coordinate", "Daily Green_chromatic_coordinate", + "Daily Red_chromatic_coordinate", "Daily Net_ecosystem_exchange", "Weekly beetle_community_abundance", - "Weekly Amblyomma_americanum_population" + "Weekly Amblyomma_americanum_population", + "Daily latent_heat_flux", + "Weekly beetle_community_richness", + "Daily Dissolved_oxygen" ], "table:columns": [ { @@ -278,57 +278,57 @@ }, "4": { "type": "application/x-parquet", - "title": "Database Access for Daily latent_heat_flux", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=le/model_id=tg_temp_lm_all_sites?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=le/model_id=tg_temp_lm_all_sites?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + "title": "Database Access for Daily Chlorophyll_a", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=chla/model_id=tg_temp_lm_all_sites?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=chla/model_id=tg_temp_lm_all_sites?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, "5": { "type": "application/x-parquet", - "title": "Database Access for Daily Dissolved_oxygen", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=oxygen/model_id=tg_temp_lm_all_sites?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=oxygen/model_id=tg_temp_lm_all_sites?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + "title": "Database Access for Daily Green_chromatic_coordinate", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=gcc_90/model_id=tg_temp_lm_all_sites?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=gcc_90/model_id=tg_temp_lm_all_sites?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, "6": { - "type": "application/x-parquet", - "title": "Database Access for Weekly beetle_community_richness", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=richness/model_id=tg_temp_lm_all_sites?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=richness/model_id=tg_temp_lm_all_sites?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" - }, - "7": { - "type": "application/x-parquet", - "title": "Database Access for Daily Chlorophyll_a", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=chla/model_id=tg_temp_lm_all_sites?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=chla/model_id=tg_temp_lm_all_sites?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" - }, - "8": { "type": "application/x-parquet", "title": "Database Access for Daily Red_chromatic_coordinate", "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=rcc_90/model_id=tg_temp_lm_all_sites?endpoint_override=sdsc.osn.xsede.org", "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=rcc_90/model_id=tg_temp_lm_all_sites?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, - "9": { - "type": "application/x-parquet", - "title": "Database Access for Daily Green_chromatic_coordinate", - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=gcc_90/model_id=tg_temp_lm_all_sites?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=gcc_90/model_id=tg_temp_lm_all_sites?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" - }, - "10": { + "7": { "type": "application/x-parquet", "title": "Database Access for Daily Net_ecosystem_exchange", "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=nee/model_id=tg_temp_lm_all_sites?endpoint_override=sdsc.osn.xsede.org", "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=nee/model_id=tg_temp_lm_all_sites?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, - "11": { + "8": { "type": "application/x-parquet", "title": "Database Access for Weekly beetle_community_abundance", "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=abundance/model_id=tg_temp_lm_all_sites?endpoint_override=sdsc.osn.xsede.org", "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=abundance/model_id=tg_temp_lm_all_sites?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, - "12": { + "9": { "type": "application/x-parquet", "title": "Database Access for Weekly Amblyomma_americanum_population", "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=amblyomma_americanum/model_id=tg_temp_lm_all_sites?endpoint_override=sdsc.osn.xsede.org", "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=amblyomma_americanum/model_id=tg_temp_lm_all_sites?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + }, + "10": { + "type": "application/x-parquet", + "title": "Database Access for Daily latent_heat_flux", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=le/model_id=tg_temp_lm_all_sites?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=le/model_id=tg_temp_lm_all_sites?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + }, + "11": { + "type": "application/x-parquet", + "title": "Database Access for Weekly beetle_community_richness", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=richness/model_id=tg_temp_lm_all_sites?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1W/variable=richness/model_id=tg_temp_lm_all_sites?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + }, + "12": { + "type": "application/x-parquet", + "title": "Database Access for Daily Dissolved_oxygen", + "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=oxygen/model_id=tg_temp_lm_all_sites?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/summaries/project_id=neon4cast/duration=P1D/variable=oxygen/model_id=tg_temp_lm_all_sites?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" } } } diff --git a/catalog/summaries/models/model_items/tidymodels_ML.json b/catalog/summaries/models/model_items/tidymodels_ML.json index 495b634d04..d5f0fd18f2 100644 --- a/catalog/summaries/models/model_items/tidymodels_ML.json +++ b/catalog/summaries/models/model_items/tidymodels_ML.json @@ -19,10 +19,10 @@ [-82.0084, 29.676], [-82.0177, 29.6878], [-149.6106, 68.6307], - [-89.4737, 46.2097], [-99.1139, 47.1591], [-89.7048, 45.9983], - [-99.2531, 47.1298] + [-99.2531, 47.1298], + [-89.4737, 46.2097] ] }, "properties": { diff --git a/catalog/summaries/models/model_items/tidymodels_lm.json b/catalog/summaries/models/model_items/tidymodels_lm.json index 58999075b2..ff43708372 100644 --- a/catalog/summaries/models/model_items/tidymodels_lm.json +++ b/catalog/summaries/models/model_items/tidymodels_lm.json @@ -16,13 +16,13 @@ "geometry": { "type": "MultiPoint", "coordinates": [ - [-149.6106, 68.6307], - [-82.0177, 29.6878], - [-82.0084, 29.676], [-89.4737, 46.2097], - [-99.1139, 47.1591], + [-82.0084, 29.676], + [-82.0177, 29.6878], + [-149.6106, 68.6307], [-89.7048, 45.9983], - [-99.2531, 47.1298] + [-99.2531, 47.1298], + [-99.1139, 47.1591] ] }, "properties": { diff --git a/catalog/summaries/models/model_items/zimmerman_proj1.json b/catalog/summaries/models/model_items/zimmerman_proj1.json index 54799b3fa9..a4912409e8 100644 --- a/catalog/summaries/models/model_items/zimmerman_proj1.json +++ b/catalog/summaries/models/model_items/zimmerman_proj1.json @@ -19,14 +19,14 @@ [-82.0084, 29.676], [-82.0177, 29.6878], [-149.6106, 68.6307], + [-89.4737, 46.2097], [-89.7048, 45.9983], [-99.1139, 47.1591], - [-99.2531, 47.1298], - [-89.4737, 46.2097] + [-99.2531, 47.1298] ] }, "properties": { - "description": "\nmodel info: I used an ARIMA model with one autoregressive term. I also included air pressure and air temperature\n\nSites: BARC, SUGG, TOOK, LIRO, PRLA, PRPO, CRAM\n\nVariables: Daily Water_temperature", + "description": "\nmodel info: I used an ARIMA model with one autoregressive term. I also included air pressure and air temperature\n\nSites: BARC, SUGG, TOOK, CRAM, LIRO, PRLA, PRPO\n\nVariables: Daily Water_temperature", "start_datetime": "2024-02-28", "end_datetime": "2024-05-15", "providers": [