From 798a68167a138307aeef37bb2768e3b377feacbf Mon Sep 17 00:00:00 2001 From: github-actions Date: Wed, 17 Jan 2024 22:14:26 +0000 Subject: [PATCH 1/2] update catalog --- .../Daily_Chlorophyll_a/collection.json | 50 ++++---- .../Daily_Dissolved_oxygen/collection.json | 42 +++---- .../collection.json | 32 ++--- .../collection.json | 10 +- .../collection.json | 20 ++-- .../Daily_latent_heat_flux/collection.json | 14 +-- catalog/forecasts/models/collection.json | 76 ++++++------ .../models/model_items/cb_prophet.json | 110 +++++++++--------- .../models/model_items/climatology.json | 54 ++++----- .../model_items/fARIMA_clim_ensemble.json | 4 +- .../models/model_items/persistenceRW.json | 88 +++++++------- .../models/model_items/tg_arima.json | 60 +++++----- .../models/model_items/tg_bag_mlp.json | 40 +++---- .../forecasts/models/model_items/tg_ets.json | 68 +++++------ .../models/model_items/tg_humidity_lm.json | 76 ++++++------ .../model_items/tg_humidity_lm_all_sites.json | 52 ++++----- .../models/model_items/tg_lasso.json | 50 ++++---- .../model_items/tg_lasso_all_sites.json | 34 +++--- .../models/model_items/tg_precip_lm.json | 52 ++++----- .../model_items/tg_precip_lm_all_sites.json | 54 ++++----- .../models/model_items/tg_randfor.json | 54 ++++----- .../models/model_items/tg_tbats.json | 40 +++---- .../models/model_items/tg_temp_lm.json | 38 +++--- .../model_items/tg_temp_lm_all_sites.json | 38 +++--- 24 files changed, 578 insertions(+), 578 deletions(-) diff --git a/catalog/forecasts/Aquatics/Daily_Chlorophyll_a/collection.json b/catalog/forecasts/Aquatics/Daily_Chlorophyll_a/collection.json index 944ef63ff5..4d6913e0bf 100644 --- a/catalog/forecasts/Aquatics/Daily_Chlorophyll_a/collection.json +++ b/catalog/forecasts/Aquatics/Daily_Chlorophyll_a/collection.json @@ -13,127 +13,127 @@ { "rel": "item", "type": "application/json", - "href": "../../models/model_items/USGSHABs1.json" + "href": "../../models/model_items/tg_humidity_lm.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/cb_prophet.json" + "href": "../../models/model_items/tg_humidity_lm_all_sites.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/climatology.json" + "href": "../../models/model_items/tg_lasso.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/persistenceRW.json" + "href": "../../models/model_items/tg_lasso_all_sites.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/procBlanchardMonod.json" + "href": "../../models/model_items/tg_precip_lm.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/procBlanchardSteele.json" + "href": "../../models/model_items/tg_precip_lm_all_sites.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/procCTMIMonod.json" + "href": "../../models/model_items/tg_randfor.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/procCTMISteele.json" + "href": "../../models/model_items/tg_tbats.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/procEppleyNorbergMonod.json" + "href": "../../models/model_items/tg_temp_lm.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/procEppleyNorbergSteele.json" + "href": "../../models/model_items/tg_temp_lm_all_sites.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/procHinshelwoodMonod.json" + "href": "../../models/model_items/USGSHABs1.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/procHinshelwoodSteele.json" + "href": "../../models/model_items/cb_prophet.json" }, { "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_bag_mlp.json" + "href": "../../models/model_items/persistenceRW.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_ets.json" + "href": "../../models/model_items/procBlanchardMonod.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_humidity_lm.json" + "href": "../../models/model_items/procBlanchardSteele.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_humidity_lm_all_sites.json" + "href": "../../models/model_items/procCTMIMonod.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_lasso.json" + "href": "../../models/model_items/procCTMISteele.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_lasso_all_sites.json" + "href": "../../models/model_items/procEppleyNorbergMonod.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_precip_lm.json" + "href": "../../models/model_items/procEppleyNorbergSteele.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_precip_lm_all_sites.json" + "href": "../../models/model_items/procHinshelwoodMonod.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_randfor.json" + "href": "../../models/model_items/procHinshelwoodSteele.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_tbats.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_bag_mlp.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_temp_lm_all_sites.json" + "href": "../../models/model_items/tg_ets.json" }, { "rel": "item", diff --git a/catalog/forecasts/Aquatics/Daily_Dissolved_oxygen/collection.json b/catalog/forecasts/Aquatics/Daily_Dissolved_oxygen/collection.json index ac0e047582..bdeabd50d5 100644 --- a/catalog/forecasts/Aquatics/Daily_Dissolved_oxygen/collection.json +++ b/catalog/forecasts/Aquatics/Daily_Dissolved_oxygen/collection.json @@ -13,107 +13,107 @@ { "rel": "item", "type": "application/json", - "href": "../../models/model_items/GLEON_lm_lag_1day.json" + "href": "../../models/model_items/tg_bag_mlp.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/air2waterSat_2.json" + "href": "../../models/model_items/tg_ets.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_bag_mlp.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_humidity_lm_all_sites.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_humidity_lm.json" + "href": "../../models/model_items/GLEON_lm_lag_1day.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_humidity_lm_all_sites.json" + "href": "../../models/model_items/air2waterSat_2.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/cb_f1.json" + "href": "../../models/model_items/tg_lasso.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_tbats.json" + "href": "../../models/model_items/tg_lasso_all_sites.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_temp_lm.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_lasso.json" + "href": "../../models/model_items/tg_randfor.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_lasso_all_sites.json" + "href": "../../models/model_items/tg_randfor_all_sites.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_precip_lm_all_sites.json" + "href": "../../models/model_items/tg_temp_lm.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_randfor.json" + "href": "../../models/model_items/tg_temp_lm_all_sites.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_randfor_all_sites.json" + "href": "../../models/model_items/cb_f1.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/persistenceRW.json" + "href": "../../models/model_items/cb_prophet.json" }, { "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_auto_adam.json" + "href": "../../models/model_items/persistenceRW.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/cb_prophet.json" + "href": "../../models/model_items/tg_arima.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/climatology.json" + "href": "../../models/model_items/tg_auto_adam.json" }, { "rel": "item", diff --git a/catalog/forecasts/Phenology/Daily_Green_chromatic_coordinate/collection.json b/catalog/forecasts/Phenology/Daily_Green_chromatic_coordinate/collection.json index 45ec038307..06ae69efaa 100644 --- a/catalog/forecasts/Phenology/Daily_Green_chromatic_coordinate/collection.json +++ b/catalog/forecasts/Phenology/Daily_Green_chromatic_coordinate/collection.json @@ -13,82 +13,82 @@ { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_arima.json" + "href": "../../models/model_items/cb_prophet.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/tg_humidity_lm.json" + "href": "../../models/model_items/persistenceRW.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_humidity_lm_all_sites.json" + "href": "../../models/model_items/tg_arima.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_lasso.json" + "href": "../../models/model_items/tg_bag_mlp.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_precip_lm.json" + "href": "../../models/model_items/tg_humidity_lm.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.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_tbats.json" + "href": "../../models/model_items/tg_lasso_all_sites.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_temp_lm.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_ets.json" + "href": "../../models/model_items/tg_randfor.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/climatology.json" + "href": "../../models/model_items/tg_temp_lm.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/persistenceRW.json" + "href": "../../models/model_items/tg_temp_lm_all_sites.json" }, { "rel": "item", diff --git a/catalog/forecasts/Phenology/Daily_Red_chromatic_coordinate/collection.json b/catalog/forecasts/Phenology/Daily_Red_chromatic_coordinate/collection.json index 817c438896..bef83ab16b 100644 --- a/catalog/forecasts/Phenology/Daily_Red_chromatic_coordinate/collection.json +++ b/catalog/forecasts/Phenology/Daily_Red_chromatic_coordinate/collection.json @@ -33,27 +33,27 @@ { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_humidity_lm.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.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/tg_humidity_lm_all_sites.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_temp_lm.json" + "href": "../../models/model_items/tg_lasso.json" }, { "rel": "item", diff --git a/catalog/forecasts/Terrestrial/Daily_Net_ecosystem_exchange/collection.json b/catalog/forecasts/Terrestrial/Daily_Net_ecosystem_exchange/collection.json index 4868c8f23a..f94d61d99c 100644 --- a/catalog/forecasts/Terrestrial/Daily_Net_ecosystem_exchange/collection.json +++ b/catalog/forecasts/Terrestrial/Daily_Net_ecosystem_exchange/collection.json @@ -38,42 +38,42 @@ { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_humidity_lm_all_sites.json" + "href": "../../models/model_items/tg_auto_adam.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_precip_lm.json" + "href": "../../models/model_items/tg_bag_mlp.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_tbats.json" + "href": "../../models/model_items/tg_precip_lm.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_temp_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/tg_randfor.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_ets.json" + "href": "../../models/model_items/tg_tbats.json" }, { "rel": "item", @@ -83,12 +83,12 @@ { "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_bag_mlp.json" + "href": "../../models/model_items/tg_temp_lm_all_sites.json" }, { "rel": "item", diff --git a/catalog/forecasts/Terrestrial/Daily_latent_heat_flux/collection.json b/catalog/forecasts/Terrestrial/Daily_latent_heat_flux/collection.json index 1985554317..e958102d6e 100644 --- a/catalog/forecasts/Terrestrial/Daily_latent_heat_flux/collection.json +++ b/catalog/forecasts/Terrestrial/Daily_latent_heat_flux/collection.json @@ -13,37 +13,37 @@ { "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_auto_adam.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_tbats.json" + "href": "../../models/model_items/tg_bag_mlp.json" }, { "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_auto_adam.json" + "href": "../../models/model_items/tg_precip_lm_all_sites.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_bag_mlp.json" + "href": "../../models/model_items/tg_randfor.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_ets.json" + "href": "../../models/model_items/tg_tbats.json" }, { "rel": "item", diff --git a/catalog/forecasts/models/collection.json b/catalog/forecasts/models/collection.json index 905da3bbfe..2787f3b5c7 100644 --- a/catalog/forecasts/models/collection.json +++ b/catalog/forecasts/models/collection.json @@ -13,142 +13,137 @@ { "rel": "item", "type": "application/json", - "href": "model_items/tg_precip_lm_all_sites.json" - }, - { - "rel": "item", - "type": "application/json", - "href": "model_items/tg_randfor.json" + "href": "model_items/tg_humidity_lm.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/tg_tbats.json" + "href": "model_items/tg_humidity_lm_all_sites.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/tg_arima.json" + "href": "model_items/tg_lasso.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/tg_auto_adam.json" + "href": "model_items/tg_lasso_all_sites.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/tg_bag_mlp.json" + "href": "model_items/tg_precip_lm.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/tg_ets.json" + "href": "model_items/tg_precip_lm_all_sites.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/USGSHABs1.json" + "href": "model_items/tg_randfor.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/cb_prophet.json" + "href": "model_items/tg_tbats.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/climatology.json" + "href": "model_items/tg_temp_lm.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/persistenceRW.json" + "href": "model_items/tg_temp_lm_all_sites.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/procBlanchardMonod.json" + "href": "model_items/cb_prophet.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/procBlanchardSteele.json" + "href": "model_items/climatology.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/procCTMIMonod.json" + "href": "model_items/persistenceRW.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/procCTMISteele.json" + "href": "model_items/tg_arima.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/procEppleyNorbergMonod.json" + "href": "model_items/USGSHABs1.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/procEppleyNorbergSteele.json" + "href": "model_items/procBlanchardMonod.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/procHinshelwoodMonod.json" + "href": "model_items/procBlanchardSteele.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/procHinshelwoodSteele.json" + "href": "model_items/procCTMIMonod.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/tg_humidity_lm.json" + "href": "model_items/procCTMISteele.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/tg_temp_lm.json" + "href": "model_items/procEppleyNorbergMonod.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/tg_temp_lm_all_sites.json" + "href": "model_items/procEppleyNorbergSteele.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/lasso.json" + "href": "model_items/procHinshelwoodMonod.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/tg_humidity_lm_all_sites.json" + "href": "model_items/procHinshelwoodSteele.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/tg_lasso.json" + "href": "model_items/tg_bag_mlp.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/tg_lasso_all_sites.json" + "href": "model_items/tg_ets.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/tg_precip_lm.json" + "href": "model_items/tg_auto_adam.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/randfor.json" + "href": "model_items/lasso.json" }, { "rel": "item", @@ -198,22 +193,22 @@ { "rel": "item", "type": "application/json", - "href": "model_items/GLEON_lm_lag_1day.json" + "href": "model_items/randfor.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/air2waterSat_2.json" + "href": "model_items/tg_randfor_all_sites.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/tg_randfor_all_sites.json" + "href": "model_items/GLEON_lm_lag_1day.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/cb_f1.json" + "href": "model_items/air2waterSat_2.json" }, { "rel": "item", @@ -223,12 +218,12 @@ { "rel": "item", "type": "application/json", - "href": "model_items/mean.json" + "href": "model_items/cb_f1.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/null.json" + "href": "model_items/mean.json" }, { "rel": "item", @@ -240,6 +235,11 @@ "type": "application/json", "href": "model_items/fARIMA_clim_ensemble.json" }, + { + "rel": "item", + "type": "application/json", + "href": "model_items/null.json" + }, { "rel": "item", "type": "application/json", diff --git a/catalog/forecasts/models/model_items/cb_prophet.json b/catalog/forecasts/models/model_items/cb_prophet.json index 4abadf86fb..8e29eabe9d 100644 --- a/catalog/forecasts/models/model_items/cb_prophet.json +++ b/catalog/forecasts/models/model_items/cb_prophet.json @@ -16,62 +16,62 @@ "geometry": { "type": "MultiPoint", "coordinates": [ - [-82.0084, 29.676], - [-87.7982, 32.5415], - [-89.4737, 46.2097], - [-84.4374, 31.1854], - [-89.7048, 45.9983], - [-99.1139, 47.1591], - [-99.2531, 47.1298], - [-82.0177, 29.6878], - [-88.1589, 31.8534], - [-155.3173, 19.5531], - [-66.8687, 17.9696], - [-81.9934, 29.6893], - [-78.1395, 38.8929], - [-109.3883, 38.2483], - [-71.2874, 44.0639], - [-104.7456, 40.8155], - [-72.1727, 42.5369], - [-89.5373, 46.2339], - [-103.0293, 40.4619], - [-96.6129, 39.1104], - [-89.5857, 45.4937], - [-122.3303, 45.7624], - [-88.1612, 31.8539], - [-95.1921, 39.0404], - [-145.7514, 63.8811], - [-96.5631, 39.1008], - [-105.546, 40.2759], - [-156.6194, 71.2824], - [-106.8425, 32.5907], + [-76.56, 38.8901], + [-119.7323, 37.1088], [-119.2622, 37.0334], + [-110.8355, 31.9107], [-89.5864, 45.5089], + [-103.0293, 40.4619], [-87.3933, 32.9505], - [-99.1066, 47.1617], + [-119.006, 37.0058], [-149.3705, 68.6611], + [-89.5857, 45.4937], + [-95.1921, 39.0404], + [-89.5373, 46.2339], [-99.2413, 47.1282], - [-99.0588, 35.4106], - [-149.2133, 63.8758], - [-76.56, 38.8901], + [-121.9519, 45.8205], + [-110.5391, 44.9535], + [-122.3303, 45.7624], + [-156.6194, 71.2824], + [-71.2874, 44.0639], [-78.0418, 39.0337], + [-147.5026, 65.154], + [-97.57, 33.4012], + [-104.7456, 40.8155], + [-99.1066, 47.1617], + [-145.7514, 63.8811], + [-87.8039, 32.5417], + [-81.4362, 28.1251], [-83.5019, 35.689], - [-84.2826, 35.9641], - [-110.8355, 31.9107], - [-100.9154, 46.7697], + [-66.8687, 17.9696], + [-72.1727, 42.5369], + [-149.2133, 63.8758], [-84.4686, 31.1948], - [-87.8039, 32.5417], + [-106.8425, 32.5907], + [-96.6129, 39.1104], + [-96.5631, 39.1008], + [-67.0769, 18.0213], + [-88.1612, 31.8539], [-80.5248, 37.3783], + [-109.3883, 38.2483], [-105.5824, 40.0543], - [-121.9519, 45.8205], - [-67.0769, 18.0213], - [-119.006, 37.0058], - [-97.57, 33.4012], - [-119.7323, 37.1088], + [-100.9154, 46.7697], + [-99.0588, 35.4106], [-112.4524, 40.1776], - [-81.4362, 28.1251], - [-147.5026, 65.154], - [-110.5391, 44.9535], + [-84.2826, 35.9641], + [-81.9934, 29.6893], + [-155.3173, 19.5531], + [-105.546, 40.2759], + [-78.1395, 38.8929], + [-82.0084, 29.676], + [-87.7982, 32.5415], + [-89.4737, 46.2097], + [-84.4374, 31.1854], + [-89.7048, 45.9983], + [-99.1139, 47.1591], + [-99.2531, 47.1298], + [-82.0177, 29.6878], + [-88.1589, 31.8534], [-96.6242, 34.4442], [-147.504, 65.1532], [-105.5442, 40.035], @@ -98,7 +98,7 @@ ] }, "properties": { - "description": "\nmodel info: NA\n\nSites: BARC, BLWA, CRAM, FLNT, LIRO, PRLA, PRPO, SUGG, TOMB, PUUM, GUAN, OSBS, SCBI, MOAB, BART, CPER, HARV, UNDE, STER, KONA, TREE, ABBY, LENO, UKFS, DEJU, KONZ, RMNP, BARR, JORN, SOAP, STEI, TALL, DCFS, TOOL, WOOD, OAES, HEAL, SERC, BLAN, GRSM, ORNL, SRER, NOGP, JERC, DELA, MLBS, NIWO, WREF, LAJA, TEAK, CLBJ, SJER, ONAQ, DSNY, BONA, YELL, BLUE, CARI, COMO, CUPE, GUIL, HOPB, KING, LECO, LEWI, MART, MAYF, MCDI, MCRA, POSE, PRIN, REDB, SYCA, TECR, WALK, WLOU, ARIK, BIGC, BLDE\n\nVariables: Daily Chlorophyll_a, Daily Net_ecosystem_exchange, Daily latent_heat_flux, Daily Green_chromatic_coordinate, Daily Dissolved_oxygen, Daily Water_temperature, Daily Red_chromatic_coordinate", + "description": "\nmodel info: NA\n\nSites: SERC, SJER, SOAP, SRER, STEI, STER, TALL, TEAK, TOOL, TREE, UKFS, UNDE, WOOD, WREF, YELL, ABBY, BARR, BART, BLAN, BONA, CLBJ, CPER, DCFS, DEJU, DELA, DSNY, GRSM, GUAN, HARV, HEAL, JERC, JORN, KONA, KONZ, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, SCBI, BARC, BLWA, CRAM, FLNT, LIRO, PRLA, PRPO, SUGG, TOMB, BLUE, CARI, COMO, CUPE, GUIL, HOPB, KING, LECO, LEWI, MART, MAYF, MCDI, MCRA, POSE, PRIN, REDB, SYCA, TECR, WALK, WLOU, ARIK, BIGC, BLDE\n\nVariables: Daily Green_chromatic_coordinate, Daily Chlorophyll_a, Daily Net_ecosystem_exchange, Daily latent_heat_flux, Daily Dissolved_oxygen, Daily Water_temperature, Daily Red_chromatic_coordinate", "start_datetime": "2023-11-14", "end_datetime": "2024-02-10", "providers": [ @@ -123,10 +123,10 @@ "keywords": [ "Forecasting", "neon4cast", + "Daily Green_chromatic_coordinate", "Daily Chlorophyll_a", "Daily Net_ecosystem_exchange", "Daily latent_heat_flux", - "Daily Green_chromatic_coordinate", "Daily Dissolved_oxygen", "Daily Water_temperature", "Daily Red_chromatic_coordinate" @@ -241,29 +241,29 @@ "description": "The link to the model code provided by the model submission team" }, "3": { + "type": "application/x-parquet", + "title": "Database Access for Daily Green_chromatic_coordinate", + "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/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/parquet/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" + }, + "4": { "type": "application/x-parquet", "title": "Database Access for Daily Chlorophyll_a", "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/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/parquet/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" }, - "4": { + "5": { "type": "application/x-parquet", "title": "Database Access for Daily Net_ecosystem_exchange", "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/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/parquet/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" }, - "5": { + "6": { "type": "application/x-parquet", "title": "Database Access for Daily latent_heat_flux", "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/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/parquet/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" }, - "6": { - "type": "application/x-parquet", - "title": "Database Access for Daily Green_chromatic_coordinate", - "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/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/parquet/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" - }, "7": { "type": "application/x-parquet", "title": "Database Access for Daily Dissolved_oxygen", diff --git a/catalog/forecasts/models/model_items/climatology.json b/catalog/forecasts/models/model_items/climatology.json index b11e981df1..cbfd7ccec4 100644 --- a/catalog/forecasts/models/model_items/climatology.json +++ b/catalog/forecasts/models/model_items/climatology.json @@ -16,31 +16,17 @@ "geometry": { "type": "MultiPoint", "coordinates": [ - [-82.0084, 29.676], - [-87.7982, 32.5415], - [-84.4374, 31.1854], - [-82.0177, 29.6878], - [-88.1589, 31.8534], - [-89.4737, 46.2097], - [-89.7048, 45.9983], - [-99.2531, 47.1298], - [-99.1139, 47.1591], - [-149.6106, 68.6307], [-122.3303, 45.7624], - [-156.6194, 71.2824], [-71.2874, 44.0639], [-78.0418, 39.0337], - [-147.5026, 65.154], [-97.57, 33.4012], [-104.7456, 40.8155], [-99.1066, 47.1617], - [-145.7514, 63.8811], [-87.8039, 32.5417], [-81.4362, 28.1251], [-83.5019, 35.689], [-66.8687, 17.9696], [-72.1727, 42.5369], - [-149.2133, 63.8758], [-84.4686, 31.1948], [-106.8425, 32.5907], [-96.6129, 39.1104], @@ -66,13 +52,27 @@ [-103.0293, 40.4619], [-87.3933, 32.9505], [-119.006, 37.0058], - [-149.3705, 68.6611], [-89.5857, 45.4937], [-95.1921, 39.0404], [-89.5373, 46.2339], [-99.2413, 47.1282], [-121.9519, 45.8205], [-110.5391, 44.9535], + [-147.5026, 65.154], + [-82.0084, 29.676], + [-87.7982, 32.5415], + [-84.4374, 31.1854], + [-82.0177, 29.6878], + [-88.1589, 31.8534], + [-89.4737, 46.2097], + [-89.7048, 45.9983], + [-99.2531, 47.1298], + [-99.1139, 47.1591], + [-149.6106, 68.6307], + [-156.6194, 71.2824], + [-145.7514, 63.8811], + [-149.2133, 63.8758], + [-149.3705, 68.6611], [-102.4471, 39.7582], [-119.2575, 37.0597], [-110.5871, 44.9501], @@ -100,7 +100,7 @@ ] }, "properties": { - "description": ["\nmodel info: Historical DOY mean and sd. Assumes normal distribution\n\n\nSites: BARC, BLWA, FLNT, SUGG, TOMB, CRAM, LIRO, PRPO, PRLA, TOOK, ABBY, BARR, BART, BLAN, BONA, CLBJ, CPER, DCFS, DEJU, DELA, DSNY, GRSM, GUAN, HARV, HEAL, JERC, JORN, KONA, KONZ, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, SCBI, SERC, SJER, SOAP, SRER, STEI, STER, TALL, TEAK, TOOL, TREE, UKFS, UNDE, WOOD, WREF, YELL, ARIK, BIGC, BLDE, BLUE, COMO, CUPE, GUIL, HOPB, KING, LECO, LEWI, MART, MAYF, MCDI, MCRA, POSE, PRIN, REDB, SYCA, TECR, WALK, WLOU, CARI, OKSR\n\nVariables: Daily Chlorophyll_a, Daily Net_ecosystem_exchange, 30min Net_ecosystem_exchange, Daily latent_heat_flux, 30min latent_heat_flux, Daily Green_chromatic_coordinate, Daily Dissolved_oxygen, Daily Water_temperature, Daily Red_chromatic_coordinate", "\nmodel info: NA\n\nSites: BARC, BLWA, FLNT, SUGG, TOMB, CRAM, LIRO, PRPO, PRLA, TOOK, ABBY, BARR, BART, BLAN, BONA, CLBJ, CPER, DCFS, DEJU, DELA, DSNY, GRSM, GUAN, HARV, HEAL, JERC, JORN, KONA, KONZ, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, SCBI, SERC, SJER, SOAP, SRER, STEI, STER, TALL, TEAK, TOOL, TREE, UKFS, UNDE, WOOD, WREF, YELL, ARIK, BIGC, BLDE, BLUE, COMO, CUPE, GUIL, HOPB, KING, LECO, LEWI, MART, MAYF, MCDI, MCRA, POSE, PRIN, REDB, SYCA, TECR, WALK, WLOU, CARI, OKSR\n\nVariables: Daily Chlorophyll_a, Daily Net_ecosystem_exchange, 30min Net_ecosystem_exchange, Daily latent_heat_flux, 30min latent_heat_flux, Daily Green_chromatic_coordinate, Daily Dissolved_oxygen, Daily Water_temperature, Daily Red_chromatic_coordinate"], + "description": ["\nmodel info: Historical DOY mean and sd. Assumes normal distribution\n\n\nSites: ABBY, BART, BLAN, CLBJ, CPER, DCFS, DELA, DSNY, GRSM, GUAN, HARV, JERC, JORN, KONA, KONZ, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, SCBI, SERC, SJER, SOAP, SRER, STEI, STER, TALL, TEAK, TREE, UKFS, UNDE, WOOD, WREF, YELL, BONA, BARC, BLWA, FLNT, SUGG, TOMB, CRAM, LIRO, PRPO, PRLA, TOOK, BARR, DEJU, HEAL, TOOL, ARIK, BIGC, BLDE, BLUE, COMO, CUPE, GUIL, HOPB, KING, LECO, LEWI, MART, MAYF, MCDI, MCRA, POSE, PRIN, REDB, SYCA, TECR, WALK, WLOU, CARI, OKSR\n\nVariables: Daily Green_chromatic_coordinate, Daily Chlorophyll_a, Daily Net_ecosystem_exchange, 30min Net_ecosystem_exchange, Daily latent_heat_flux, 30min latent_heat_flux, Daily Dissolved_oxygen, Daily Water_temperature, Daily Red_chromatic_coordinate", "\nmodel info: NA\n\nSites: ABBY, BART, BLAN, CLBJ, CPER, DCFS, DELA, DSNY, GRSM, GUAN, HARV, JERC, JORN, KONA, KONZ, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, SCBI, SERC, SJER, SOAP, SRER, STEI, STER, TALL, TEAK, TREE, UKFS, UNDE, WOOD, WREF, YELL, BONA, BARC, BLWA, FLNT, SUGG, TOMB, CRAM, LIRO, PRPO, PRLA, TOOK, BARR, DEJU, HEAL, TOOL, ARIK, BIGC, BLDE, BLUE, COMO, CUPE, GUIL, HOPB, KING, LECO, LEWI, MART, MAYF, MCDI, MCRA, POSE, PRIN, REDB, SYCA, TECR, WALK, WLOU, CARI, OKSR\n\nVariables: Daily Green_chromatic_coordinate, Daily Chlorophyll_a, Daily Net_ecosystem_exchange, 30min Net_ecosystem_exchange, Daily latent_heat_flux, 30min latent_heat_flux, Daily Dissolved_oxygen, Daily Water_temperature, Daily Red_chromatic_coordinate"], "start_datetime": "2023-01-02", "end_datetime": "2024-02-21", "providers": [ @@ -125,12 +125,12 @@ "keywords": [ "Forecasting", "neon4cast", + "Daily Green_chromatic_coordinate", "Daily Chlorophyll_a", "Daily Net_ecosystem_exchange", "30min Net_ecosystem_exchange", "Daily latent_heat_flux", "30min latent_heat_flux", - "Daily Green_chromatic_coordinate", "Daily Dissolved_oxygen", "Daily Water_temperature", "Daily Red_chromatic_coordinate" @@ -245,41 +245,41 @@ "description": "The link to the model code provided by the model submission team" }, "3": { + "type": "application/x-parquet", + "title": "Database Access for Daily Green_chromatic_coordinate", + "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/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/parquet/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" + }, + "4": { "type": "application/x-parquet", "title": "Database Access for Daily Chlorophyll_a", "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/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/parquet/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" }, - "4": { + "5": { "type": "application/x-parquet", "title": "Database Access for Daily Net_ecosystem_exchange", "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/project_id=neon4cast/duration=P1D/variable=nee/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/parquet/project_id=neon4cast/duration=P1D/variable=nee/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": { + "6": { "type": "application/x-parquet", "title": "Database Access for 30min Net_ecosystem_exchange", "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/project_id=neon4cast/duration=PT30M/variable=nee/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/parquet/project_id=neon4cast/duration=PT30M/variable=nee/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": { + "7": { "type": "application/x-parquet", "title": "Database Access for Daily latent_heat_flux", "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/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/parquet/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" }, - "7": { + "8": { "type": "application/x-parquet", "title": "Database Access for 30min latent_heat_flux", "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/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/parquet/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" }, - "8": { - "type": "application/x-parquet", - "title": "Database Access for Daily Green_chromatic_coordinate", - "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/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/parquet/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" - }, "9": { "type": "application/x-parquet", "title": "Database Access for Daily Dissolved_oxygen", diff --git a/catalog/forecasts/models/model_items/fARIMA_clim_ensemble.json b/catalog/forecasts/models/model_items/fARIMA_clim_ensemble.json index d58763adfb..c79e8143c1 100644 --- a/catalog/forecasts/models/model_items/fARIMA_clim_ensemble.json +++ b/catalog/forecasts/models/model_items/fARIMA_clim_ensemble.json @@ -41,13 +41,13 @@ [-88.1589, 31.8534], [-119.2575, 37.0597], [-110.5871, 44.9501], - [-84.4374, 31.1854], [-89.4737, 46.2097], + [-84.4374, 31.1854], [-111.5081, 33.751] ] }, "properties": { - "description": "\nmodel info: NA\n\nSites: LECO, LEWI, MART, MAYF, MCDI, MCRA, COMO, CUPE, GUIL, HOPB, KING, ARIK, BARC, BLUE, BLWA, WALK, WLOU, POSE, PRIN, REDB, SUGG, TECR, TOMB, BIGC, BLDE, FLNT, CRAM, SYCA\n\nVariables: Daily Water_temperature", + "description": "\nmodel info: NA\n\nSites: LECO, LEWI, MART, MAYF, MCDI, MCRA, COMO, CUPE, GUIL, HOPB, KING, ARIK, BARC, BLUE, BLWA, WALK, WLOU, POSE, PRIN, REDB, SUGG, TECR, TOMB, BIGC, BLDE, CRAM, FLNT, SYCA\n\nVariables: Daily Water_temperature", "start_datetime": "2023-11-10", "end_datetime": "2024-01-29", "providers": [ diff --git a/catalog/forecasts/models/model_items/persistenceRW.json b/catalog/forecasts/models/model_items/persistenceRW.json index 0d4d34aea2..25dff1eaab 100644 --- a/catalog/forecasts/models/model_items/persistenceRW.json +++ b/catalog/forecasts/models/model_items/persistenceRW.json @@ -16,55 +16,34 @@ "geometry": { "type": "MultiPoint", "coordinates": [ - [-89.7048, 45.9983], - [-99.1139, 47.1591], - [-99.2531, 47.1298], - [-82.0177, 29.6878], - [-88.1589, 31.8534], - [-149.6106, 68.6307], - [-82.0084, 29.676], - [-87.7982, 32.5415], - [-89.4737, 46.2097], - [-84.4374, 31.1854], - [-100.9154, 46.7697], - [-99.0588, 35.4106], - [-112.4524, 40.1776], - [-84.2826, 35.9641], - [-81.9934, 29.6893], - [-89.5373, 46.2339], - [-99.2413, 47.1282], - [-121.9519, 45.8205], - [-110.5391, 44.9535], + [-87.8039, 32.5417], + [-81.4362, 28.1251], + [-83.5019, 35.689], + [-66.8687, 17.9696], + [-72.1727, 42.5369], + [-149.2133, 63.8758], [-147.5026, 65.154], [-97.57, 33.4012], [-104.7456, 40.8155], [-99.1066, 47.1617], [-145.7514, 63.8811], - [-87.8039, 32.5417], - [-149.2133, 63.8758], - [-84.4686, 31.1948], - [-106.8425, 32.5907], - [-96.6129, 39.1104], - [-96.5631, 39.1008], - [-67.0769, 18.0213], [-119.7323, 37.1088], [-119.2622, 37.0334], [-110.8355, 31.9107], [-89.5864, 45.5089], [-103.0293, 40.4619], [-87.3933, 32.9505], - [-81.4362, 28.1251], - [-83.5019, 35.689], - [-66.8687, 17.9696], - [-72.1727, 42.5369], + [-100.9154, 46.7697], + [-99.0588, 35.4106], + [-112.4524, 40.1776], + [-84.2826, 35.9641], + [-81.9934, 29.6893], [-119.006, 37.0058], [-149.3705, 68.6611], [-89.5857, 45.4937], [-95.1921, 39.0404], - [-122.3303, 45.7624], - [-156.6194, 71.2824], - [-71.2874, 44.0639], - [-78.0418, 39.0337], + [-89.5373, 46.2339], + [-67.0769, 18.0213], [-88.1612, 31.8539], [-80.5248, 37.3783], [-109.3883, 38.2483], @@ -73,6 +52,27 @@ [-105.546, 40.2759], [-78.1395, 38.8929], [-76.56, 38.8901], + [-99.2413, 47.1282], + [-121.9519, 45.8205], + [-110.5391, 44.9535], + [-122.3303, 45.7624], + [-156.6194, 71.2824], + [-71.2874, 44.0639], + [-78.0418, 39.0337], + [-84.4686, 31.1948], + [-106.8425, 32.5907], + [-96.6129, 39.1104], + [-96.5631, 39.1008], + [-89.7048, 45.9983], + [-99.1139, 47.1591], + [-99.2531, 47.1298], + [-82.0177, 29.6878], + [-88.1589, 31.8534], + [-149.6106, 68.6307], + [-82.0084, 29.676], + [-87.7982, 32.5415], + [-89.4737, 46.2097], + [-84.4374, 31.1854], [-96.6038, 39.1051], [-83.5038, 35.6904], [-77.9832, 39.0956], @@ -100,7 +100,7 @@ ] }, "properties": { - "description": ["\nmodel info: Random walk from the fable package with ensembles used to represent uncertainty\n\nSites: LIRO, PRLA, PRPO, SUGG, TOMB, TOOK, BARC, BLWA, CRAM, FLNT, NOGP, OAES, ONAQ, ORNL, OSBS, UNDE, WOOD, WREF, YELL, BONA, CLBJ, CPER, DCFS, DEJU, DELA, HEAL, JERC, JORN, KONA, KONZ, LAJA, SJER, SOAP, SRER, STEI, STER, TALL, DSNY, GRSM, GUAN, HARV, TEAK, TOOL, TREE, UKFS, ABBY, BARR, BART, BLAN, LENO, MLBS, MOAB, NIWO, PUUM, RMNP, SCBI, SERC, KING, LECO, LEWI, MART, MAYF, ARIK, BIGC, BLDE, BLUE, MCDI, MCRA, OKSR, POSE, PRIN, WLOU, CUPE, GUIL, HOPB, REDB, SYCA, CARI, COMO, TECR, WALK\n\nVariables: Daily Chlorophyll_a, Daily Net_ecosystem_exchange, Daily Water_temperature, Daily Green_chromatic_coordinate, Daily Dissolved_oxygen, Daily Red_chromatic_coordinate", "\nmodel info: NA\n\nSites: LIRO, PRLA, PRPO, SUGG, TOMB, TOOK, BARC, BLWA, CRAM, FLNT, NOGP, OAES, ONAQ, ORNL, OSBS, UNDE, WOOD, WREF, YELL, BONA, CLBJ, CPER, DCFS, DEJU, DELA, HEAL, JERC, JORN, KONA, KONZ, LAJA, SJER, SOAP, SRER, STEI, STER, TALL, DSNY, GRSM, GUAN, HARV, TEAK, TOOL, TREE, UKFS, ABBY, BARR, BART, BLAN, LENO, MLBS, MOAB, NIWO, PUUM, RMNP, SCBI, SERC, KING, LECO, LEWI, MART, MAYF, ARIK, BIGC, BLDE, BLUE, MCDI, MCRA, OKSR, POSE, PRIN, WLOU, CUPE, GUIL, HOPB, REDB, SYCA, CARI, COMO, TECR, WALK\n\nVariables: Daily Chlorophyll_a, Daily Net_ecosystem_exchange, Daily Water_temperature, Daily Green_chromatic_coordinate, Daily Dissolved_oxygen, Daily Red_chromatic_coordinate"], + "description": ["\nmodel info: Random walk from the fable package with ensembles used to represent uncertainty\n\nSites: DELA, DSNY, GRSM, GUAN, HARV, HEAL, BONA, CLBJ, CPER, DCFS, DEJU, SJER, SOAP, SRER, STEI, STER, TALL, NOGP, OAES, ONAQ, ORNL, OSBS, TEAK, TOOL, TREE, UKFS, UNDE, LAJA, LENO, MLBS, MOAB, NIWO, PUUM, RMNP, SCBI, SERC, WOOD, WREF, YELL, ABBY, BARR, BART, BLAN, JERC, JORN, KONA, KONZ, LIRO, PRLA, PRPO, SUGG, TOMB, TOOK, BARC, BLWA, CRAM, FLNT, KING, LECO, LEWI, MART, MAYF, ARIK, BIGC, BLDE, BLUE, MCDI, MCRA, OKSR, POSE, PRIN, WLOU, CUPE, GUIL, HOPB, REDB, SYCA, CARI, COMO, TECR, WALK\n\nVariables: Daily Green_chromatic_coordinate, Daily Chlorophyll_a, Daily Net_ecosystem_exchange, Daily Water_temperature, Daily Dissolved_oxygen, Daily Red_chromatic_coordinate", "\nmodel info: NA\n\nSites: DELA, DSNY, GRSM, GUAN, HARV, HEAL, BONA, CLBJ, CPER, DCFS, DEJU, SJER, SOAP, SRER, STEI, STER, TALL, NOGP, OAES, ONAQ, ORNL, OSBS, TEAK, TOOL, TREE, UKFS, UNDE, LAJA, LENO, MLBS, MOAB, NIWO, PUUM, RMNP, SCBI, SERC, WOOD, WREF, YELL, ABBY, BARR, BART, BLAN, JERC, JORN, KONA, KONZ, LIRO, PRLA, PRPO, SUGG, TOMB, TOOK, BARC, BLWA, CRAM, FLNT, KING, LECO, LEWI, MART, MAYF, ARIK, BIGC, BLDE, BLUE, MCDI, MCRA, OKSR, POSE, PRIN, WLOU, CUPE, GUIL, HOPB, REDB, SYCA, CARI, COMO, TECR, WALK\n\nVariables: Daily Green_chromatic_coordinate, Daily Chlorophyll_a, Daily Net_ecosystem_exchange, Daily Water_temperature, Daily Dissolved_oxygen, Daily Red_chromatic_coordinate"], "start_datetime": "2023-11-15", "end_datetime": "2024-02-19", "providers": [ @@ -125,10 +125,10 @@ "keywords": [ "Forecasting", "neon4cast", + "Daily Green_chromatic_coordinate", "Daily Chlorophyll_a", "Daily Net_ecosystem_exchange", "Daily Water_temperature", - "Daily Green_chromatic_coordinate", "Daily Dissolved_oxygen", "Daily Red_chromatic_coordinate" ], @@ -242,29 +242,29 @@ "description": "The link to the model code provided by the model submission team" }, "3": { + "type": "application/x-parquet", + "title": "Database Access for Daily Green_chromatic_coordinate", + "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/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/parquet/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" + }, + "4": { "type": "application/x-parquet", "title": "Database Access for Daily Chlorophyll_a", "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/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/parquet/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" }, - "4": { + "5": { "type": "application/x-parquet", "title": "Database Access for Daily Net_ecosystem_exchange", "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/project_id=neon4cast/duration=P1D/variable=nee/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/parquet/project_id=neon4cast/duration=P1D/variable=nee/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": { + "6": { "type": "application/x-parquet", "title": "Database Access for Daily Water_temperature", "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/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/parquet/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" }, - "6": { - "type": "application/x-parquet", - "title": "Database Access for Daily Green_chromatic_coordinate", - "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/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/parquet/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" - }, "7": { "type": "application/x-parquet", "title": "Database Access for Daily Dissolved_oxygen", diff --git a/catalog/forecasts/models/model_items/tg_arima.json b/catalog/forecasts/models/model_items/tg_arima.json index c26fcad6d5..0366ef446c 100644 --- a/catalog/forecasts/models/model_items/tg_arima.json +++ b/catalog/forecasts/models/model_items/tg_arima.json @@ -16,19 +16,6 @@ "geometry": { "type": "MultiPoint", "coordinates": [ - [-119.2622, 37.0334], - [-110.8355, 31.9107], - [-89.5864, 45.5089], - [-103.0293, 40.4619], - [-87.3933, 32.9505], - [-119.006, 37.0058], - [-149.3705, 68.6611], - [-89.5857, 45.4937], - [-95.1921, 39.0404], - [-89.5373, 46.2339], - [-99.2413, 47.1282], - [-121.9519, 45.8205], - [-110.5391, 44.9535], [-122.3303, 45.7624], [-156.6194, 71.2824], [-71.2874, 44.0639], @@ -63,6 +50,16 @@ [-78.1395, 38.8929], [-76.56, 38.8901], [-119.7323, 37.1088], + [-119.2622, 37.0334], + [-110.8355, 31.9107], + [-89.5864, 45.5089], + [-103.0293, 40.4619], + [-87.3933, 32.9505], + [-119.006, 37.0058], + [-149.3705, 68.6611], + [-89.5857, 45.4937], + [-95.1921, 39.0404], + [-89.5373, 46.2339], [-82.0084, 29.676], [-87.7982, 32.5415], [-89.4737, 46.2097], @@ -73,6 +70,9 @@ [-82.0177, 29.6878], [-88.1589, 31.8534], [-149.6106, 68.6307], + [-99.2413, 47.1282], + [-121.9519, 45.8205], + [-110.5391, 44.9535], [-87.4077, 32.9604], [-96.443, 38.9459], [-122.1655, 44.2596], @@ -100,7 +100,7 @@ ] }, "properties": { - "description": "\nmodel info: NA\n\nSites: SOAP, SRER, STEI, STER, TALL, TEAK, TOOL, TREE, UKFS, UNDE, WOOD, WREF, YELL, ABBY, BARR, BART, BLAN, BONA, CLBJ, CPER, DCFS, DEJU, DELA, DSNY, GRSM, GUAN, HARV, HEAL, JERC, JORN, KONA, KONZ, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, SCBI, SERC, SJER, BARC, BLWA, CRAM, FLNT, LIRO, PRLA, PRPO, SUGG, TOMB, TOOK, MAYF, MCDI, MCRA, OKSR, POSE, PRIN, REDB, SYCA, TECR, WALK, WLOU, ARIK, BIGC, BLDE, BLUE, CARI, COMO, CUPE, GUIL, HOPB, KING, LECO, LEWI, MART\n\nVariables: Daily latent_heat_flux, Daily Chlorophyll_a, Daily Green_chromatic_coordinate, Daily Water_temperature, Daily Net_ecosystem_exchange, Daily Dissolved_oxygen, Daily Red_chromatic_coordinate, Weekly Amblyomma_americanum_population, Weekly beetle_community_richness, Weekly beetle_community_abundance", + "description": "\nmodel info: NA\n\nSites: ABBY, BARR, BART, BLAN, BONA, CLBJ, CPER, DCFS, DEJU, DELA, DSNY, GRSM, GUAN, HARV, HEAL, JERC, JORN, KONA, KONZ, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, SCBI, SERC, SJER, SOAP, SRER, STEI, STER, TALL, TEAK, TOOL, TREE, UKFS, UNDE, BARC, BLWA, CRAM, FLNT, LIRO, PRLA, PRPO, SUGG, TOMB, TOOK, WOOD, WREF, YELL, MAYF, MCDI, MCRA, OKSR, POSE, PRIN, REDB, SYCA, TECR, WALK, WLOU, ARIK, BIGC, BLDE, BLUE, CARI, COMO, CUPE, GUIL, HOPB, KING, LECO, LEWI, MART\n\nVariables: Daily Green_chromatic_coordinate, Daily Chlorophyll_a, Daily latent_heat_flux, Daily Water_temperature, Daily Net_ecosystem_exchange, Daily Dissolved_oxygen, Weekly Amblyomma_americanum_population, Weekly beetle_community_richness, Daily Red_chromatic_coordinate, Weekly beetle_community_abundance", "start_datetime": "2023-01-01", "end_datetime": "2024-12-30", "providers": [ @@ -125,15 +125,15 @@ "keywords": [ "Forecasting", "neon4cast", - "Daily latent_heat_flux", - "Daily Chlorophyll_a", "Daily Green_chromatic_coordinate", + "Daily Chlorophyll_a", + "Daily latent_heat_flux", "Daily Water_temperature", "Daily Net_ecosystem_exchange", "Daily Dissolved_oxygen", - "Daily Red_chromatic_coordinate", "Weekly Amblyomma_americanum_population", "Weekly beetle_community_richness", + "Daily Red_chromatic_coordinate", "Weekly beetle_community_abundance" ], "table:columns": [ @@ -247,9 +247,9 @@ }, "3": { "type": "application/x-parquet", - "title": "Database Access for Daily latent_heat_flux", - "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/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/parquet/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 Green_chromatic_coordinate", + "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/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/parquet/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" }, "4": { "type": "application/x-parquet", @@ -259,9 +259,9 @@ }, "5": { "type": "application/x-parquet", - "title": "Database Access for Daily Green_chromatic_coordinate", - "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/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/parquet/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/parquet/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/parquet/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" }, "6": { "type": "application/x-parquet", @@ -282,23 +282,23 @@ "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/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" }, "9": { - "type": "application/x-parquet", - "title": "Database Access for Daily Red_chromatic_coordinate", - "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/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/parquet/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" - }, - "10": { "type": "application/x-parquet", "title": "Database Access for Weekly Amblyomma_americanum_population", "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/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/parquet/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" }, - "11": { + "10": { "type": "application/x-parquet", "title": "Database Access for Weekly beetle_community_richness", "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/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/parquet/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" }, + "11": { + "type": "application/x-parquet", + "title": "Database Access for Daily Red_chromatic_coordinate", + "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/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/parquet/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" + }, "12": { "type": "application/x-parquet", "title": "Database Access for Weekly beetle_community_abundance", diff --git a/catalog/forecasts/models/model_items/tg_bag_mlp.json b/catalog/forecasts/models/model_items/tg_bag_mlp.json index 5ccb67c12e..1a11197515 100644 --- a/catalog/forecasts/models/model_items/tg_bag_mlp.json +++ b/catalog/forecasts/models/model_items/tg_bag_mlp.json @@ -16,8 +16,16 @@ "geometry": { "type": "MultiPoint", "coordinates": [ - [-106.8425, 32.5907], - [-96.6129, 39.1104], + [-82.0084, 29.676], + [-87.7982, 32.5415], + [-89.4737, 46.2097], + [-84.4374, 31.1854], + [-89.7048, 45.9983], + [-99.1139, 47.1591], + [-99.2531, 47.1298], + [-82.0177, 29.6878], + [-88.1589, 31.8534], + [-149.6106, 68.6307], [-96.5631, 39.1008], [-67.0769, 18.0213], [-88.1612, 31.8539], @@ -63,16 +71,8 @@ [-72.1727, 42.5369], [-149.2133, 63.8758], [-84.4686, 31.1948], - [-82.0084, 29.676], - [-87.7982, 32.5415], - [-89.4737, 46.2097], - [-84.4374, 31.1854], - [-89.7048, 45.9983], - [-99.1139, 47.1591], - [-99.2531, 47.1298], - [-82.0177, 29.6878], - [-88.1589, 31.8534], - [-149.6106, 68.6307], + [-106.8425, 32.5907], + [-96.6129, 39.1104], [-102.4471, 39.7582], [-119.2575, 37.0597], [-110.5871, 44.9501], @@ -125,9 +125,9 @@ "keywords": [ "Forecasting", "neon4cast", - "Daily latent_heat_flux", "Daily Chlorophyll_a", "Daily Green_chromatic_coordinate", + "Daily latent_heat_flux", "Daily Water_temperature", "Daily Net_ecosystem_exchange", "Daily Dissolved_oxygen", @@ -243,23 +243,23 @@ "description": "The link to the model code provided by the model submission team" }, "3": { - "type": "application/x-parquet", - "title": "Database Access for Daily latent_heat_flux", - "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/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/parquet/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" - }, - "4": { "type": "application/x-parquet", "title": "Database Access for Daily Chlorophyll_a", "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/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/parquet/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" }, - "5": { + "4": { "type": "application/x-parquet", "title": "Database Access for Daily Green_chromatic_coordinate", "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/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/parquet/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" }, + "5": { + "type": "application/x-parquet", + "title": "Database Access for Daily latent_heat_flux", + "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/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/parquet/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 Water_temperature", diff --git a/catalog/forecasts/models/model_items/tg_ets.json b/catalog/forecasts/models/model_items/tg_ets.json index 0c679cd127..8bce5c4f76 100644 --- a/catalog/forecasts/models/model_items/tg_ets.json +++ b/catalog/forecasts/models/model_items/tg_ets.json @@ -16,6 +16,16 @@ "geometry": { "type": "MultiPoint", "coordinates": [ + [-82.0084, 29.676], + [-87.7982, 32.5415], + [-89.4737, 46.2097], + [-84.4374, 31.1854], + [-89.7048, 45.9983], + [-99.1139, 47.1591], + [-99.2531, 47.1298], + [-82.0177, 29.6878], + [-88.1589, 31.8534], + [-149.6106, 68.6307], [-122.3303, 45.7624], [-156.6194, 71.2824], [-71.2874, 44.0639], @@ -63,16 +73,6 @@ [-99.2413, 47.1282], [-121.9519, 45.8205], [-110.5391, 44.9535], - [-82.0084, 29.676], - [-87.7982, 32.5415], - [-89.4737, 46.2097], - [-84.4374, 31.1854], - [-89.7048, 45.9983], - [-99.1139, 47.1591], - [-99.2531, 47.1298], - [-82.0177, 29.6878], - [-88.1589, 31.8534], - [-149.6106, 68.6307], [-102.4471, 39.7582], [-119.2575, 37.0597], [-110.5871, 44.9501], @@ -100,7 +100,7 @@ ] }, "properties": { - "description": "\nmodel info: NA\n\nSites: ABBY, BARR, BART, BLAN, BONA, CLBJ, CPER, DCFS, DEJU, DELA, DSNY, GRSM, GUAN, HARV, HEAL, JERC, JORN, KONA, KONZ, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, SCBI, SERC, SJER, SOAP, SRER, STEI, STER, TALL, TEAK, TOOL, TREE, UKFS, UNDE, WOOD, WREF, YELL, BARC, BLWA, CRAM, FLNT, LIRO, PRLA, PRPO, SUGG, TOMB, TOOK, ARIK, BIGC, BLDE, BLUE, CARI, COMO, CUPE, GUIL, HOPB, KING, LECO, LEWI, MART, MAYF, MCDI, MCRA, OKSR, POSE, PRIN, REDB, SYCA, TECR, WALK, WLOU\n\nVariables: Daily latent_heat_flux, Daily Chlorophyll_a, Daily Water_temperature, Daily Green_chromatic_coordinate, Daily Net_ecosystem_exchange, Daily Dissolved_oxygen, Weekly beetle_community_richness, Daily Red_chromatic_coordinate, Weekly beetle_community_abundance, Weekly Amblyomma_americanum_population", + "description": "\nmodel info: NA\n\nSites: BARC, BLWA, CRAM, FLNT, LIRO, PRLA, PRPO, SUGG, TOMB, TOOK, ABBY, BARR, BART, BLAN, BONA, CLBJ, CPER, DCFS, DEJU, DELA, DSNY, GRSM, GUAN, HARV, HEAL, JERC, JORN, KONA, KONZ, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, SCBI, SERC, SJER, SOAP, SRER, STEI, STER, TALL, TEAK, TOOL, TREE, UKFS, UNDE, WOOD, WREF, YELL, ARIK, BIGC, BLDE, BLUE, CARI, COMO, CUPE, GUIL, HOPB, KING, LECO, LEWI, MART, MAYF, MCDI, MCRA, OKSR, POSE, PRIN, REDB, SYCA, TECR, WALK, WLOU\n\nVariables: Daily Chlorophyll_a, Daily Green_chromatic_coordinate, Daily latent_heat_flux, Daily Water_temperature, Daily Net_ecosystem_exchange, Daily Dissolved_oxygen, Weekly beetle_community_richness, Weekly beetle_community_abundance, Weekly Amblyomma_americanum_population, Daily Red_chromatic_coordinate", "start_datetime": "2023-01-01", "end_datetime": "2024-12-30", "providers": [ @@ -125,16 +125,16 @@ "keywords": [ "Forecasting", "neon4cast", - "Daily latent_heat_flux", "Daily Chlorophyll_a", - "Daily Water_temperature", "Daily Green_chromatic_coordinate", + "Daily latent_heat_flux", + "Daily Water_temperature", "Daily Net_ecosystem_exchange", "Daily Dissolved_oxygen", "Weekly beetle_community_richness", - "Daily Red_chromatic_coordinate", "Weekly beetle_community_abundance", - "Weekly Amblyomma_americanum_population" + "Weekly Amblyomma_americanum_population", + "Daily Red_chromatic_coordinate" ], "table:columns": [ { @@ -246,28 +246,28 @@ "description": "The link to the model code provided by the model submission team" }, "3": { - "type": "application/x-parquet", - "title": "Database Access for Daily latent_heat_flux", - "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/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/parquet/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" - }, - "4": { "type": "application/x-parquet", "title": "Database Access for Daily Chlorophyll_a", "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/project_id=neon4cast/duration=P1D/variable=chla/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/parquet/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" }, + "4": { + "type": "application/x-parquet", + "title": "Database Access for Daily Green_chromatic_coordinate", + "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/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/parquet/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" + }, "5": { "type": "application/x-parquet", - "title": "Database Access for Daily Water_temperature", - "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/project_id=neon4cast/duration=P1D/variable=temperature/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/parquet/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" + "title": "Database Access for Daily latent_heat_flux", + "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/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/parquet/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 Daily Green_chromatic_coordinate", - "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/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/parquet/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 Daily Water_temperature", + "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/project_id=neon4cast/duration=P1D/variable=temperature/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/parquet/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" }, "7": { "type": "application/x-parquet", @@ -288,22 +288,22 @@ "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/parquet/project_id=neon4cast/duration=P1W/variable=richness/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": { - "type": "application/x-parquet", - "title": "Database Access for Daily Red_chromatic_coordinate", - "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/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/parquet/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" - }, - "11": { "type": "application/x-parquet", "title": "Database Access for Weekly beetle_community_abundance", "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/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/parquet/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": { + "11": { "type": "application/x-parquet", "title": "Database Access for Weekly Amblyomma_americanum_population", "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/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/parquet/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" + }, + "12": { + "type": "application/x-parquet", + "title": "Database Access for Daily Red_chromatic_coordinate", + "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/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/parquet/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" } } } diff --git a/catalog/forecasts/models/model_items/tg_humidity_lm.json b/catalog/forecasts/models/model_items/tg_humidity_lm.json index 9765d4b5fc..d796bfde85 100644 --- a/catalog/forecasts/models/model_items/tg_humidity_lm.json +++ b/catalog/forecasts/models/model_items/tg_humidity_lm.json @@ -16,6 +16,7 @@ "geometry": { "type": "MultiPoint", "coordinates": [ + [-149.6106, 68.6307], [-82.0084, 29.676], [-87.7982, 32.5415], [-89.4737, 46.2097], @@ -25,30 +26,6 @@ [-99.2531, 47.1298], [-82.0177, 29.6878], [-88.1589, 31.8534], - [-149.6106, 68.6307], - [-145.7514, 63.8811], - [-87.8039, 32.5417], - [-81.4362, 28.1251], - [-83.5019, 35.689], - [-66.8687, 17.9696], - [-72.1727, 42.5369], - [-149.2133, 63.8758], - [-84.4686, 31.1948], - [-106.8425, 32.5907], - [-96.6129, 39.1104], - [-96.5631, 39.1008], - [-67.0769, 18.0213], - [-88.1612, 31.8539], - [-80.5248, 37.3783], - [-109.3883, 38.2483], - [-105.5824, 40.0543], - [-100.9154, 46.7697], - [-99.0588, 35.4106], - [-112.4524, 40.1776], - [-84.2826, 35.9641], - [-81.9934, 29.6893], - [-155.3173, 19.5531], - [-105.546, 40.2759], [-78.1395, 38.8929], [-76.56, 38.8901], [-119.7323, 37.1088], @@ -73,6 +50,29 @@ [-97.57, 33.4012], [-104.7456, 40.8155], [-99.1066, 47.1617], + [-145.7514, 63.8811], + [-87.8039, 32.5417], + [-81.4362, 28.1251], + [-83.5019, 35.689], + [-66.8687, 17.9696], + [-72.1727, 42.5369], + [-149.2133, 63.8758], + [-84.4686, 31.1948], + [-106.8425, 32.5907], + [-96.6129, 39.1104], + [-96.5631, 39.1008], + [-67.0769, 18.0213], + [-88.1612, 31.8539], + [-80.5248, 37.3783], + [-109.3883, 38.2483], + [-105.5824, 40.0543], + [-100.9154, 46.7697], + [-99.0588, 35.4106], + [-112.4524, 40.1776], + [-84.2826, 35.9641], + [-81.9934, 29.6893], + [-155.3173, 19.5531], + [-105.546, 40.2759], [-111.5081, 33.751], [-119.0274, 36.9559], [-84.2793, 35.9574], @@ -100,7 +100,7 @@ ] }, "properties": { - "description": "\nmodel info: NA\n\nSites: BARC, BLWA, CRAM, FLNT, LIRO, PRLA, PRPO, SUGG, TOMB, TOOK, DEJU, DELA, DSNY, GRSM, GUAN, HARV, HEAL, JERC, JORN, KONA, KONZ, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, SCBI, SERC, SJER, SOAP, SRER, STEI, STER, TALL, TEAK, TOOL, TREE, UKFS, UNDE, WOOD, WREF, YELL, ABBY, BARR, BART, BLAN, BONA, CLBJ, CPER, DCFS, SYCA, TECR, WALK, WLOU, ARIK, BIGC, BLDE, BLUE, CARI, COMO, CUPE, GUIL, HOPB, KING, LECO, LEWI, MART, MAYF, MCDI, MCRA, OKSR, POSE, PRIN, REDB\n\nVariables: Daily Chlorophyll_a, Daily Green_chromatic_coordinate, Daily Net_ecosystem_exchange, Daily Dissolved_oxygen, Daily latent_heat_flux, Daily Water_temperature, Weekly beetle_community_abundance, Weekly Amblyomma_americanum_population, Daily Red_chromatic_coordinate, Weekly beetle_community_richness", + "description": "\nmodel info: NA\n\nSites: TOOK, BARC, BLWA, CRAM, FLNT, LIRO, PRLA, PRPO, SUGG, TOMB, SCBI, SERC, SJER, SOAP, SRER, STEI, STER, TALL, TEAK, TOOL, TREE, UKFS, UNDE, WOOD, WREF, YELL, ABBY, BARR, BART, BLAN, BONA, CLBJ, CPER, DCFS, DEJU, DELA, DSNY, GRSM, GUAN, HARV, HEAL, JERC, JORN, KONA, KONZ, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, SYCA, TECR, WALK, WLOU, ARIK, BIGC, BLDE, BLUE, CARI, COMO, CUPE, GUIL, HOPB, KING, LECO, LEWI, MART, MAYF, MCDI, MCRA, OKSR, POSE, PRIN, REDB\n\nVariables: Daily Chlorophyll_a, Daily Green_chromatic_coordinate, Daily Dissolved_oxygen, Daily Net_ecosystem_exchange, Daily Water_temperature, Daily latent_heat_flux, Weekly beetle_community_abundance, Weekly Amblyomma_americanum_population, Daily Red_chromatic_coordinate, Weekly beetle_community_richness", "start_datetime": "2023-11-14", "end_datetime": "2024-02-16", "providers": [ @@ -127,10 +127,10 @@ "neon4cast", "Daily Chlorophyll_a", "Daily Green_chromatic_coordinate", - "Daily Net_ecosystem_exchange", "Daily Dissolved_oxygen", - "Daily latent_heat_flux", + "Daily Net_ecosystem_exchange", "Daily Water_temperature", + "Daily latent_heat_flux", "Weekly beetle_community_abundance", "Weekly Amblyomma_americanum_population", "Daily Red_chromatic_coordinate", @@ -258,29 +258,29 @@ "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/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" }, "5": { - "type": "application/x-parquet", - "title": "Database Access for Daily Net_ecosystem_exchange", - "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/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/parquet/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" - }, - "6": { "type": "application/x-parquet", "title": "Database Access for Daily Dissolved_oxygen", "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/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/parquet/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" }, - "7": { + "6": { "type": "application/x-parquet", - "title": "Database Access for Daily latent_heat_flux", - "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/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/parquet/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 Net_ecosystem_exchange", + "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/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/parquet/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" }, - "8": { + "7": { "type": "application/x-parquet", "title": "Database Access for Daily Water_temperature", "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/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/parquet/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" }, + "8": { + "type": "application/x-parquet", + "title": "Database Access for Daily latent_heat_flux", + "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/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/parquet/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" + }, "9": { "type": "application/x-parquet", "title": "Database Access for Weekly beetle_community_abundance", diff --git a/catalog/forecasts/models/model_items/tg_humidity_lm_all_sites.json b/catalog/forecasts/models/model_items/tg_humidity_lm_all_sites.json index 9f349c7eeb..485e2787d5 100644 --- a/catalog/forecasts/models/model_items/tg_humidity_lm_all_sites.json +++ b/catalog/forecasts/models/model_items/tg_humidity_lm_all_sites.json @@ -16,6 +16,16 @@ "geometry": { "type": "MultiPoint", "coordinates": [ + [-82.0084, 29.676], + [-87.7982, 32.5415], + [-89.4737, 46.2097], + [-84.4374, 31.1854], + [-89.7048, 45.9983], + [-99.1139, 47.1591], + [-99.2531, 47.1298], + [-82.0177, 29.6878], + [-88.1589, 31.8534], + [-149.6106, 68.6307], [-119.2622, 37.0334], [-110.8355, 31.9107], [-89.5864, 45.5089], @@ -63,16 +73,6 @@ [-78.1395, 38.8929], [-76.56, 38.8901], [-119.7323, 37.1088], - [-82.0084, 29.676], - [-87.7982, 32.5415], - [-89.4737, 46.2097], - [-84.4374, 31.1854], - [-89.7048, 45.9983], - [-99.1139, 47.1591], - [-99.2531, 47.1298], - [-82.0177, 29.6878], - [-88.1589, 31.8534], - [-149.6106, 68.6307], [-84.2793, 35.9574], [-105.9154, 39.8914], [-102.4471, 39.7582], @@ -100,7 +100,7 @@ ] }, "properties": { - "description": "\nmodel info: NA\n\nSites: SOAP, SRER, STEI, STER, TALL, TEAK, TOOL, TREE, UKFS, UNDE, WOOD, WREF, YELL, ABBY, BARR, BART, BLAN, BONA, CLBJ, CPER, DCFS, DEJU, DELA, DSNY, GRSM, GUAN, HARV, HEAL, JERC, JORN, KONA, KONZ, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, SCBI, SERC, SJER, BARC, BLWA, CRAM, FLNT, LIRO, PRLA, PRPO, SUGG, TOMB, TOOK, WALK, WLOU, ARIK, BIGC, BLDE, BLUE, CARI, COMO, CUPE, GUIL, HOPB, KING, LECO, LEWI, MART, MAYF, MCDI, MCRA, OKSR, POSE, PRIN, REDB, SYCA, TECR\n\nVariables: Daily Green_chromatic_coordinate, Daily Net_ecosystem_exchange, Daily Chlorophyll_a, Daily Dissolved_oxygen, Daily latent_heat_flux, Daily Water_temperature, Daily Red_chromatic_coordinate, Weekly Amblyomma_americanum_population, Weekly beetle_community_richness, Weekly beetle_community_abundance", + "description": "\nmodel info: NA\n\nSites: BARC, BLWA, CRAM, FLNT, LIRO, PRLA, PRPO, SUGG, TOMB, TOOK, SOAP, SRER, STEI, STER, TALL, TEAK, TOOL, TREE, UKFS, UNDE, WOOD, WREF, YELL, ABBY, BARR, BART, BLAN, BONA, CLBJ, CPER, DCFS, DEJU, DELA, DSNY, GRSM, GUAN, HARV, HEAL, JERC, JORN, KONA, KONZ, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, SCBI, SERC, SJER, WALK, WLOU, ARIK, BIGC, BLDE, BLUE, CARI, COMO, CUPE, GUIL, HOPB, KING, LECO, LEWI, MART, MAYF, MCDI, MCRA, OKSR, POSE, PRIN, REDB, SYCA, TECR\n\nVariables: Daily Chlorophyll_a, Daily Green_chromatic_coordinate, Daily Net_ecosystem_exchange, Daily Dissolved_oxygen, Daily Water_temperature, Daily latent_heat_flux, Daily Red_chromatic_coordinate, Weekly Amblyomma_americanum_population, Weekly beetle_community_richness, Weekly beetle_community_abundance", "start_datetime": "2023-11-14", "end_datetime": "2024-02-16", "providers": [ @@ -125,12 +125,12 @@ "keywords": [ "Forecasting", "neon4cast", + "Daily Chlorophyll_a", "Daily Green_chromatic_coordinate", "Daily Net_ecosystem_exchange", - "Daily Chlorophyll_a", "Daily Dissolved_oxygen", - "Daily latent_heat_flux", "Daily Water_temperature", + "Daily latent_heat_flux", "Daily Red_chromatic_coordinate", "Weekly Amblyomma_americanum_population", "Weekly beetle_community_richness", @@ -246,23 +246,23 @@ "description": "The link to the model code provided by the model submission team" }, "3": { + "type": "application/x-parquet", + "title": "Database Access for Daily Chlorophyll_a", + "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/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/parquet/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" + }, + "4": { "type": "application/x-parquet", "title": "Database Access for Daily Green_chromatic_coordinate", "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/project_id=neon4cast/duration=P1D/variable=gcc_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/parquet/project_id=neon4cast/duration=P1D/variable=gcc_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" }, - "4": { + "5": { "type": "application/x-parquet", "title": "Database Access for Daily Net_ecosystem_exchange", "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/project_id=neon4cast/duration=P1D/variable=nee/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/parquet/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" }, - "5": { - "type": "application/x-parquet", - "title": "Database Access for Daily Chlorophyll_a", - "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/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/parquet/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" - }, "6": { "type": "application/x-parquet", "title": "Database Access for Daily Dissolved_oxygen", @@ -270,17 +270,17 @@ "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/parquet/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" }, "7": { - "type": "application/x-parquet", - "title": "Database Access for Daily latent_heat_flux", - "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/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/parquet/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" - }, - "8": { "type": "application/x-parquet", "title": "Database Access for Daily Water_temperature", "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/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/parquet/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" }, + "8": { + "type": "application/x-parquet", + "title": "Database Access for Daily latent_heat_flux", + "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/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/parquet/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" + }, "9": { "type": "application/x-parquet", "title": "Database Access for Daily Red_chromatic_coordinate", diff --git a/catalog/forecasts/models/model_items/tg_lasso.json b/catalog/forecasts/models/model_items/tg_lasso.json index 6a7d50b15b..4f13add22e 100644 --- a/catalog/forecasts/models/model_items/tg_lasso.json +++ b/catalog/forecasts/models/model_items/tg_lasso.json @@ -16,6 +16,16 @@ "geometry": { "type": "MultiPoint", "coordinates": [ + [-82.0084, 29.676], + [-87.7982, 32.5415], + [-89.4737, 46.2097], + [-84.4374, 31.1854], + [-89.7048, 45.9983], + [-99.1139, 47.1591], + [-99.2531, 47.1298], + [-82.0177, 29.6878], + [-88.1589, 31.8534], + [-149.6106, 68.6307], [-78.1395, 38.8929], [-76.56, 38.8901], [-119.7323, 37.1088], @@ -63,16 +73,6 @@ [-81.9934, 29.6893], [-155.3173, 19.5531], [-105.546, 40.2759], - [-82.0084, 29.676], - [-87.7982, 32.5415], - [-89.4737, 46.2097], - [-84.4374, 31.1854], - [-89.7048, 45.9983], - [-99.1139, 47.1591], - [-99.2531, 47.1298], - [-82.0177, 29.6878], - [-88.1589, 31.8534], - [-149.6106, 68.6307], [-119.0274, 36.9559], [-84.2793, 35.9574], [-105.9154, 39.8914], @@ -100,7 +100,7 @@ ] }, "properties": { - "description": "\nmodel info: NA\n\nSites: SCBI, SERC, SJER, SOAP, SRER, STEI, STER, TALL, TEAK, TOOL, TREE, UKFS, UNDE, WOOD, WREF, YELL, ABBY, BARR, BART, BLAN, BONA, CLBJ, CPER, DCFS, DEJU, DELA, DSNY, GRSM, GUAN, HARV, HEAL, JERC, JORN, KONA, KONZ, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, BARC, BLWA, CRAM, FLNT, LIRO, PRLA, PRPO, SUGG, TOMB, TOOK, TECR, WALK, WLOU, ARIK, BIGC, BLDE, BLUE, CARI, COMO, CUPE, GUIL, HOPB, KING, LECO, LEWI, MART, MAYF, MCDI, MCRA, OKSR, POSE, PRIN, REDB, SYCA\n\nVariables: Daily Green_chromatic_coordinate, Daily Chlorophyll_a, Weekly beetle_community_richness, Daily Dissolved_oxygen, Daily Water_temperature, Weekly beetle_community_abundance, Weekly Amblyomma_americanum_population, Daily Red_chromatic_coordinate", + "description": "\nmodel info: NA\n\nSites: BARC, BLWA, CRAM, FLNT, LIRO, PRLA, PRPO, SUGG, TOMB, TOOK, SCBI, SERC, SJER, SOAP, SRER, STEI, STER, TALL, TEAK, TOOL, TREE, UKFS, UNDE, WOOD, WREF, YELL, ABBY, BARR, BART, BLAN, BONA, CLBJ, CPER, DCFS, DEJU, DELA, DSNY, GRSM, GUAN, HARV, HEAL, JERC, JORN, KONA, KONZ, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, TECR, WALK, WLOU, ARIK, BIGC, BLDE, BLUE, CARI, COMO, CUPE, GUIL, HOPB, KING, LECO, LEWI, MART, MAYF, MCDI, MCRA, OKSR, POSE, PRIN, REDB, SYCA\n\nVariables: Daily Chlorophyll_a, Daily Green_chromatic_coordinate, Daily Dissolved_oxygen, Daily Water_temperature, Weekly beetle_community_richness, Weekly beetle_community_abundance, Weekly Amblyomma_americanum_population, Daily Red_chromatic_coordinate", "start_datetime": "2023-11-14", "end_datetime": "2024-02-16", "providers": [ @@ -125,11 +125,11 @@ "keywords": [ "Forecasting", "neon4cast", - "Daily Green_chromatic_coordinate", "Daily Chlorophyll_a", - "Weekly beetle_community_richness", + "Daily Green_chromatic_coordinate", "Daily Dissolved_oxygen", "Daily Water_temperature", + "Weekly beetle_community_richness", "Weekly beetle_community_abundance", "Weekly Amblyomma_americanum_population", "Daily Red_chromatic_coordinate" @@ -244,35 +244,35 @@ "description": "The link to the model code provided by the model submission team" }, "3": { - "type": "application/x-parquet", - "title": "Database Access for Daily Green_chromatic_coordinate", - "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/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/parquet/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" - }, - "4": { "type": "application/x-parquet", "title": "Database Access for Daily Chlorophyll_a", "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/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/parquet/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" }, - "5": { + "4": { "type": "application/x-parquet", - "title": "Database Access for Weekly beetle_community_richness", - "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/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/parquet/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 Green_chromatic_coordinate", + "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/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/parquet/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" }, - "6": { + "5": { "type": "application/x-parquet", "title": "Database Access for Daily Dissolved_oxygen", "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/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/parquet/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" }, - "7": { + "6": { "type": "application/x-parquet", "title": "Database Access for Daily Water_temperature", "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/project_id=neon4cast/duration=P1D/variable=temperature/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/parquet/project_id=neon4cast/duration=P1D/variable=temperature/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": { + "type": "application/x-parquet", + "title": "Database Access for Weekly beetle_community_richness", + "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/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/parquet/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" + }, "8": { "type": "application/x-parquet", "title": "Database Access for Weekly beetle_community_abundance", diff --git a/catalog/forecasts/models/model_items/tg_lasso_all_sites.json b/catalog/forecasts/models/model_items/tg_lasso_all_sites.json index a344b29a69..b768d9e4a0 100644 --- a/catalog/forecasts/models/model_items/tg_lasso_all_sites.json +++ b/catalog/forecasts/models/model_items/tg_lasso_all_sites.json @@ -16,6 +16,16 @@ "geometry": { "type": "MultiPoint", "coordinates": [ + [-82.0084, 29.676], + [-87.7982, 32.5415], + [-89.4737, 46.2097], + [-84.4374, 31.1854], + [-89.7048, 45.9983], + [-99.1139, 47.1591], + [-99.2531, 47.1298], + [-82.0177, 29.6878], + [-88.1589, 31.8534], + [-149.6106, 68.6307], [-119.2622, 37.0334], [-110.8355, 31.9107], [-89.5864, 45.5089], @@ -63,16 +73,6 @@ [-78.1395, 38.8929], [-76.56, 38.8901], [-119.7323, 37.1088], - [-82.0084, 29.676], - [-87.7982, 32.5415], - [-89.4737, 46.2097], - [-84.4374, 31.1854], - [-89.7048, 45.9983], - [-99.1139, 47.1591], - [-99.2531, 47.1298], - [-82.0177, 29.6878], - [-88.1589, 31.8534], - [-149.6106, 68.6307], [-149.143, 68.6698], [-78.1473, 38.8943], [-97.7823, 33.3785], @@ -125,8 +125,8 @@ "keywords": [ "Forecasting", "neon4cast", - "Daily Green_chromatic_coordinate", "Daily Chlorophyll_a", + "Daily Green_chromatic_coordinate", "Daily Water_temperature", "Daily Dissolved_oxygen", "Daily Red_chromatic_coordinate", @@ -244,17 +244,17 @@ "description": "The link to the model code provided by the model submission team" }, "3": { - "type": "application/x-parquet", - "title": "Database Access for Daily Green_chromatic_coordinate", - "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/project_id=neon4cast/duration=P1D/variable=gcc_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/parquet/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" - }, - "4": { "type": "application/x-parquet", "title": "Database Access for Daily Chlorophyll_a", "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/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/parquet/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" }, + "4": { + "type": "application/x-parquet", + "title": "Database Access for Daily Green_chromatic_coordinate", + "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/project_id=neon4cast/duration=P1D/variable=gcc_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/parquet/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 Water_temperature", diff --git a/catalog/forecasts/models/model_items/tg_precip_lm.json b/catalog/forecasts/models/model_items/tg_precip_lm.json index 2efd28218d..b5814e95aa 100644 --- a/catalog/forecasts/models/model_items/tg_precip_lm.json +++ b/catalog/forecasts/models/model_items/tg_precip_lm.json @@ -16,6 +16,16 @@ "geometry": { "type": "MultiPoint", "coordinates": [ + [-82.0084, 29.676], + [-87.7982, 32.5415], + [-89.4737, 46.2097], + [-84.4374, 31.1854], + [-89.7048, 45.9983], + [-99.1139, 47.1591], + [-99.2531, 47.1298], + [-82.0177, 29.6878], + [-88.1589, 31.8534], + [-149.6106, 68.6307], [-78.1395, 38.8929], [-76.56, 38.8901], [-119.7323, 37.1088], @@ -63,16 +73,6 @@ [-81.9934, 29.6893], [-155.3173, 19.5531], [-105.546, 40.2759], - [-82.0084, 29.676], - [-87.7982, 32.5415], - [-89.4737, 46.2097], - [-84.4374, 31.1854], - [-89.7048, 45.9983], - [-99.1139, 47.1591], - [-99.2531, 47.1298], - [-82.0177, 29.6878], - [-88.1589, 31.8534], - [-149.6106, 68.6307], [-84.2793, 35.9574], [-105.9154, 39.8914], [-102.4471, 39.7582], @@ -100,7 +100,7 @@ ] }, "properties": { - "description": "\nmodel info: NA\n\nSites: SCBI, SERC, SJER, SOAP, SRER, STEI, STER, TALL, TEAK, TOOL, TREE, UKFS, UNDE, WOOD, WREF, YELL, ABBY, BARR, BART, BLAN, BONA, CLBJ, CPER, DCFS, DEJU, DELA, DSNY, GRSM, GUAN, HARV, HEAL, JERC, JORN, KONA, KONZ, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, BARC, BLWA, CRAM, FLNT, LIRO, PRLA, PRPO, SUGG, TOMB, TOOK, WALK, WLOU, ARIK, BIGC, BLDE, BLUE, CARI, COMO, CUPE, GUIL, HOPB, KING, LECO, LEWI, MART, MAYF, MCDI, MCRA, OKSR, POSE, PRIN, REDB, SYCA, TECR\n\nVariables: Daily Green_chromatic_coordinate, Daily Net_ecosystem_exchange, Daily Chlorophyll_a, Daily Water_temperature, Daily latent_heat_flux, Daily Dissolved_oxygen, Weekly beetle_community_abundance, Weekly Amblyomma_americanum_population, Daily Red_chromatic_coordinate, Weekly beetle_community_richness", + "description": "\nmodel info: NA\n\nSites: BARC, BLWA, CRAM, FLNT, LIRO, PRLA, PRPO, SUGG, TOMB, TOOK, SCBI, SERC, SJER, SOAP, SRER, STEI, STER, TALL, TEAK, TOOL, TREE, UKFS, UNDE, WOOD, WREF, YELL, ABBY, BARR, BART, BLAN, BONA, CLBJ, CPER, DCFS, DEJU, DELA, DSNY, GRSM, GUAN, HARV, HEAL, JERC, JORN, KONA, KONZ, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, WALK, WLOU, ARIK, BIGC, BLDE, BLUE, CARI, COMO, CUPE, GUIL, HOPB, KING, LECO, LEWI, MART, MAYF, MCDI, MCRA, OKSR, POSE, PRIN, REDB, SYCA, TECR\n\nVariables: Daily Chlorophyll_a, Daily Green_chromatic_coordinate, Daily Net_ecosystem_exchange, Daily Water_temperature, Daily Dissolved_oxygen, Daily latent_heat_flux, Weekly beetle_community_abundance, Weekly Amblyomma_americanum_population, Daily Red_chromatic_coordinate, Weekly beetle_community_richness", "start_datetime": "2023-11-14", "end_datetime": "2024-02-16", "providers": [ @@ -125,12 +125,12 @@ "keywords": [ "Forecasting", "neon4cast", + "Daily Chlorophyll_a", "Daily Green_chromatic_coordinate", "Daily Net_ecosystem_exchange", - "Daily Chlorophyll_a", "Daily Water_temperature", - "Daily latent_heat_flux", "Daily Dissolved_oxygen", + "Daily latent_heat_flux", "Weekly beetle_community_abundance", "Weekly Amblyomma_americanum_population", "Daily Red_chromatic_coordinate", @@ -246,23 +246,23 @@ "description": "The link to the model code provided by the model submission team" }, "3": { + "type": "application/x-parquet", + "title": "Database Access for Daily Chlorophyll_a", + "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/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/parquet/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" + }, + "4": { "type": "application/x-parquet", "title": "Database Access for Daily Green_chromatic_coordinate", "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/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/parquet/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": { + "5": { "type": "application/x-parquet", "title": "Database Access for Daily Net_ecosystem_exchange", "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/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/parquet/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" }, - "5": { - "type": "application/x-parquet", - "title": "Database Access for Daily Chlorophyll_a", - "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/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/parquet/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" - }, "6": { "type": "application/x-parquet", "title": "Database Access for Daily Water_temperature", @@ -270,17 +270,17 @@ "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/parquet/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" }, "7": { - "type": "application/x-parquet", - "title": "Database Access for Daily latent_heat_flux", - "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/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/parquet/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" - }, - "8": { "type": "application/x-parquet", "title": "Database Access for Daily Dissolved_oxygen", "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/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/parquet/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" }, + "8": { + "type": "application/x-parquet", + "title": "Database Access for Daily latent_heat_flux", + "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/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/parquet/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" + }, "9": { "type": "application/x-parquet", "title": "Database Access for Weekly beetle_community_abundance", diff --git a/catalog/forecasts/models/model_items/tg_precip_lm_all_sites.json b/catalog/forecasts/models/model_items/tg_precip_lm_all_sites.json index 3f9c239763..814458a921 100644 --- a/catalog/forecasts/models/model_items/tg_precip_lm_all_sites.json +++ b/catalog/forecasts/models/model_items/tg_precip_lm_all_sites.json @@ -16,6 +16,16 @@ "geometry": { "type": "MultiPoint", "coordinates": [ + [-82.0084, 29.676], + [-87.7982, 32.5415], + [-89.4737, 46.2097], + [-84.4374, 31.1854], + [-89.7048, 45.9983], + [-99.1139, 47.1591], + [-99.2531, 47.1298], + [-82.0177, 29.6878], + [-88.1589, 31.8534], + [-149.6106, 68.6307], [-96.5631, 39.1008], [-67.0769, 18.0213], [-88.1612, 31.8539], @@ -63,16 +73,6 @@ [-84.4686, 31.1948], [-106.8425, 32.5907], [-96.6129, 39.1104], - [-82.0084, 29.676], - [-87.7982, 32.5415], - [-89.4737, 46.2097], - [-84.4374, 31.1854], - [-89.7048, 45.9983], - [-99.1139, 47.1591], - [-99.2531, 47.1298], - [-82.0177, 29.6878], - [-88.1589, 31.8534], - [-149.6106, 68.6307], [-122.1655, 44.2596], [-149.143, 68.6698], [-78.1473, 38.8943], @@ -100,7 +100,7 @@ ] }, "properties": { - "description": "\nmodel info: NA\n\nSites: KONZ, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, SCBI, SERC, SJER, SOAP, SRER, STEI, STER, TALL, TEAK, TOOL, TREE, UKFS, UNDE, WOOD, WREF, YELL, ABBY, BARR, BART, BLAN, BONA, CLBJ, CPER, DCFS, DEJU, DELA, DSNY, GRSM, GUAN, HARV, HEAL, JERC, JORN, KONA, BARC, BLWA, CRAM, FLNT, LIRO, PRLA, PRPO, SUGG, TOMB, TOOK, MCRA, OKSR, POSE, PRIN, REDB, SYCA, TECR, WALK, WLOU, ARIK, BIGC, BLDE, BLUE, CARI, COMO, CUPE, GUIL, HOPB, KING, LECO, LEWI, MART, MAYF, MCDI\n\nVariables: Daily latent_heat_flux, Daily Green_chromatic_coordinate, Daily Net_ecosystem_exchange, Daily Chlorophyll_a, Daily Water_temperature, Weekly beetle_community_richness, Daily Dissolved_oxygen, Daily Red_chromatic_coordinate, Weekly beetle_community_abundance, Weekly Amblyomma_americanum_population", + "description": "\nmodel info: NA\n\nSites: BARC, BLWA, CRAM, FLNT, LIRO, PRLA, PRPO, SUGG, TOMB, TOOK, KONZ, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, SCBI, SERC, SJER, SOAP, SRER, STEI, STER, TALL, TEAK, TOOL, TREE, UKFS, UNDE, WOOD, WREF, YELL, ABBY, BARR, BART, BLAN, BONA, CLBJ, CPER, DCFS, DEJU, DELA, DSNY, GRSM, GUAN, HARV, HEAL, JERC, JORN, KONA, MCRA, OKSR, POSE, PRIN, REDB, SYCA, TECR, WALK, WLOU, ARIK, BIGC, BLDE, BLUE, CARI, COMO, CUPE, GUIL, HOPB, KING, LECO, LEWI, MART, MAYF, MCDI\n\nVariables: Daily Chlorophyll_a, Daily latent_heat_flux, Daily Green_chromatic_coordinate, Daily Net_ecosystem_exchange, Daily Water_temperature, Daily Dissolved_oxygen, Weekly beetle_community_richness, Daily Red_chromatic_coordinate, Weekly beetle_community_abundance, Weekly Amblyomma_americanum_population", "start_datetime": "2023-11-14", "end_datetime": "2024-02-16", "providers": [ @@ -125,13 +125,13 @@ "keywords": [ "Forecasting", "neon4cast", + "Daily Chlorophyll_a", "Daily latent_heat_flux", "Daily Green_chromatic_coordinate", "Daily Net_ecosystem_exchange", - "Daily Chlorophyll_a", "Daily Water_temperature", - "Weekly beetle_community_richness", "Daily Dissolved_oxygen", + "Weekly beetle_community_richness", "Daily Red_chromatic_coordinate", "Weekly beetle_community_abundance", "Weekly Amblyomma_americanum_population" @@ -246,29 +246,29 @@ "description": "The link to the model code provided by the model submission team" }, "3": { + "type": "application/x-parquet", + "title": "Database Access for Daily Chlorophyll_a", + "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/project_id=neon4cast/duration=P1D/variable=chla/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/parquet/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" + }, + "4": { "type": "application/x-parquet", "title": "Database Access for Daily latent_heat_flux", "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/project_id=neon4cast/duration=P1D/variable=le/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/parquet/project_id=neon4cast/duration=P1D/variable=le/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" }, - "4": { + "5": { "type": "application/x-parquet", "title": "Database Access for Daily Green_chromatic_coordinate", "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/project_id=neon4cast/duration=P1D/variable=gcc_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/parquet/project_id=neon4cast/duration=P1D/variable=gcc_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" }, - "5": { + "6": { "type": "application/x-parquet", "title": "Database Access for Daily Net_ecosystem_exchange", "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/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/parquet/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" }, - "6": { - "type": "application/x-parquet", - "title": "Database Access for Daily Chlorophyll_a", - "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/project_id=neon4cast/duration=P1D/variable=chla/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/parquet/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" - }, "7": { "type": "application/x-parquet", "title": "Database Access for Daily Water_temperature", @@ -276,17 +276,17 @@ "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/parquet/project_id=neon4cast/duration=P1D/variable=temperature/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" }, "8": { - "type": "application/x-parquet", - "title": "Database Access for Weekly beetle_community_richness", - "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/project_id=neon4cast/duration=P1W/variable=richness/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/parquet/project_id=neon4cast/duration=P1W/variable=richness/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", "title": "Database Access for Daily Dissolved_oxygen", "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/project_id=neon4cast/duration=P1D/variable=oxygen/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/parquet/project_id=neon4cast/duration=P1D/variable=oxygen/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", + "title": "Database Access for Weekly beetle_community_richness", + "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/project_id=neon4cast/duration=P1W/variable=richness/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/parquet/project_id=neon4cast/duration=P1W/variable=richness/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" + }, "10": { "type": "application/x-parquet", "title": "Database Access for Daily Red_chromatic_coordinate", diff --git a/catalog/forecasts/models/model_items/tg_randfor.json b/catalog/forecasts/models/model_items/tg_randfor.json index cab1d0f03f..ad9e2a8096 100644 --- a/catalog/forecasts/models/model_items/tg_randfor.json +++ b/catalog/forecasts/models/model_items/tg_randfor.json @@ -16,6 +16,16 @@ "geometry": { "type": "MultiPoint", "coordinates": [ + [-82.0084, 29.676], + [-87.7982, 32.5415], + [-89.4737, 46.2097], + [-84.4374, 31.1854], + [-89.7048, 45.9983], + [-99.1139, 47.1591], + [-99.2531, 47.1298], + [-82.0177, 29.6878], + [-88.1589, 31.8534], + [-149.6106, 68.6307], [-106.8425, 32.5907], [-96.6129, 39.1104], [-96.5631, 39.1008], @@ -63,16 +73,6 @@ [-72.1727, 42.5369], [-149.2133, 63.8758], [-84.4686, 31.1948], - [-82.0084, 29.676], - [-87.7982, 32.5415], - [-89.4737, 46.2097], - [-84.4374, 31.1854], - [-89.7048, 45.9983], - [-99.1139, 47.1591], - [-99.2531, 47.1298], - [-82.0177, 29.6878], - [-88.1589, 31.8534], - [-149.6106, 68.6307], [-102.4471, 39.7582], [-119.2575, 37.0597], [-110.5871, 44.9501], @@ -100,7 +100,7 @@ ] }, "properties": { - "description": "\nmodel info: NA\n\nSites: JORN, KONA, KONZ, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, SCBI, SERC, SJER, SOAP, SRER, STEI, STER, TALL, TEAK, TOOL, TREE, UKFS, UNDE, WOOD, WREF, YELL, ABBY, BARR, BART, BLAN, BONA, CLBJ, CPER, DCFS, DEJU, DELA, DSNY, GRSM, GUAN, HARV, HEAL, JERC, BARC, BLWA, CRAM, FLNT, LIRO, PRLA, PRPO, SUGG, TOMB, TOOK, ARIK, BIGC, BLDE, BLUE, CARI, COMO, CUPE, GUIL, HOPB, KING, LECO, LEWI, MART, MAYF, MCDI, MCRA, OKSR, POSE, PRIN, REDB, SYCA, TECR, WALK, WLOU\n\nVariables: Daily latent_heat_flux, Daily Green_chromatic_coordinate, Daily Net_ecosystem_exchange, Daily Chlorophyll_a, Daily Water_temperature, Weekly beetle_community_richness, Daily Dissolved_oxygen, Weekly beetle_community_abundance, Daily Red_chromatic_coordinate, Weekly Amblyomma_americanum_population", + "description": "\nmodel info: NA\n\nSites: BARC, BLWA, CRAM, FLNT, LIRO, PRLA, PRPO, SUGG, TOMB, TOOK, JORN, KONA, KONZ, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, SCBI, SERC, SJER, SOAP, SRER, STEI, STER, TALL, TEAK, TOOL, TREE, UKFS, UNDE, WOOD, WREF, YELL, ABBY, BARR, BART, BLAN, BONA, CLBJ, CPER, DCFS, DEJU, DELA, DSNY, GRSM, GUAN, HARV, HEAL, JERC, ARIK, BIGC, BLDE, BLUE, CARI, COMO, CUPE, GUIL, HOPB, KING, LECO, LEWI, MART, MAYF, MCDI, MCRA, OKSR, POSE, PRIN, REDB, SYCA, TECR, WALK, WLOU\n\nVariables: Daily Chlorophyll_a, Daily latent_heat_flux, Daily Green_chromatic_coordinate, Daily Net_ecosystem_exchange, Daily Water_temperature, Daily Dissolved_oxygen, Weekly beetle_community_richness, Weekly beetle_community_abundance, Daily Red_chromatic_coordinate, Weekly Amblyomma_americanum_population", "start_datetime": "2023-11-14", "end_datetime": "2024-02-15", "providers": [ @@ -125,13 +125,13 @@ "keywords": [ "Forecasting", "neon4cast", + "Daily Chlorophyll_a", "Daily latent_heat_flux", "Daily Green_chromatic_coordinate", "Daily Net_ecosystem_exchange", - "Daily Chlorophyll_a", "Daily Water_temperature", - "Weekly beetle_community_richness", "Daily Dissolved_oxygen", + "Weekly beetle_community_richness", "Weekly beetle_community_abundance", "Daily Red_chromatic_coordinate", "Weekly Amblyomma_americanum_population" @@ -246,29 +246,29 @@ "description": "The link to the model code provided by the model submission team" }, "3": { + "type": "application/x-parquet", + "title": "Database Access for Daily Chlorophyll_a", + "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/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/parquet/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" + }, + "4": { "type": "application/x-parquet", "title": "Database Access for Daily latent_heat_flux", "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/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/parquet/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" }, - "4": { + "5": { "type": "application/x-parquet", "title": "Database Access for Daily Green_chromatic_coordinate", "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/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/parquet/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": { + "6": { "type": "application/x-parquet", "title": "Database Access for Daily Net_ecosystem_exchange", "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/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/parquet/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" }, - "6": { - "type": "application/x-parquet", - "title": "Database Access for Daily Chlorophyll_a", - "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/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/parquet/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" - }, "7": { "type": "application/x-parquet", "title": "Database Access for Daily Water_temperature", @@ -276,17 +276,17 @@ "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/parquet/project_id=neon4cast/duration=P1D/variable=temperature/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_richness", - "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/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/parquet/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" - }, - "9": { "type": "application/x-parquet", "title": "Database Access for Daily Dissolved_oxygen", "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/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/parquet/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" }, + "9": { + "type": "application/x-parquet", + "title": "Database Access for Weekly beetle_community_richness", + "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/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/parquet/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" + }, "10": { "type": "application/x-parquet", "title": "Database Access for Weekly beetle_community_abundance", diff --git a/catalog/forecasts/models/model_items/tg_tbats.json b/catalog/forecasts/models/model_items/tg_tbats.json index 762940d7fd..ea76f4f1a1 100644 --- a/catalog/forecasts/models/model_items/tg_tbats.json +++ b/catalog/forecasts/models/model_items/tg_tbats.json @@ -16,6 +16,16 @@ "geometry": { "type": "MultiPoint", "coordinates": [ + [-82.0084, 29.676], + [-87.7982, 32.5415], + [-89.4737, 46.2097], + [-84.4374, 31.1854], + [-89.7048, 45.9983], + [-99.1139, 47.1591], + [-99.2531, 47.1298], + [-82.0177, 29.6878], + [-88.1589, 31.8534], + [-149.6106, 68.6307], [-122.3303, 45.7624], [-156.6194, 71.2824], [-71.2874, 44.0639], @@ -63,16 +73,6 @@ [-99.2413, 47.1282], [-121.9519, 45.8205], [-110.5391, 44.9535], - [-82.0084, 29.676], - [-87.7982, 32.5415], - [-89.4737, 46.2097], - [-84.4374, 31.1854], - [-89.7048, 45.9983], - [-99.1139, 47.1591], - [-99.2531, 47.1298], - [-82.0177, 29.6878], - [-88.1589, 31.8534], - [-149.6106, 68.6307], [-102.4471, 39.7582], [-119.2575, 37.0597], [-110.5871, 44.9501], @@ -100,7 +100,7 @@ ] }, "properties": { - "description": "\nmodel info: NA\n\nSites: ABBY, BARR, BART, BLAN, BONA, CLBJ, CPER, DCFS, DEJU, DELA, DSNY, GRSM, GUAN, HARV, HEAL, JERC, JORN, KONA, KONZ, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, SCBI, SERC, SJER, SOAP, SRER, STEI, STER, TALL, TEAK, TOOL, TREE, UKFS, UNDE, WOOD, WREF, YELL, BARC, BLWA, CRAM, FLNT, LIRO, PRLA, PRPO, SUGG, TOMB, TOOK, ARIK, BIGC, BLDE, BLUE, CARI, COMO, CUPE, GUIL, HOPB, KING, LECO, LEWI, MART, MAYF, MCDI, MCRA, OKSR, POSE, PRIN, REDB, SYCA, TECR, WALK, WLOU\n\nVariables: Daily latent_heat_flux, Daily Green_chromatic_coordinate, Daily Net_ecosystem_exchange, Daily Chlorophyll_a, Daily Water_temperature, Daily Dissolved_oxygen, Weekly beetle_community_richness, Weekly beetle_community_abundance, Weekly Amblyomma_americanum_population, Daily Red_chromatic_coordinate", + "description": "\nmodel info: NA\n\nSites: BARC, BLWA, CRAM, FLNT, LIRO, PRLA, PRPO, SUGG, TOMB, TOOK, ABBY, BARR, BART, BLAN, BONA, CLBJ, CPER, DCFS, DEJU, DELA, DSNY, GRSM, GUAN, HARV, HEAL, JERC, JORN, KONA, KONZ, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, SCBI, SERC, SJER, SOAP, SRER, STEI, STER, TALL, TEAK, TOOL, TREE, UKFS, UNDE, WOOD, WREF, YELL, ARIK, BIGC, BLDE, BLUE, CARI, COMO, CUPE, GUIL, HOPB, KING, LECO, LEWI, MART, MAYF, MCDI, MCRA, OKSR, POSE, PRIN, REDB, SYCA, TECR, WALK, WLOU\n\nVariables: Daily Chlorophyll_a, Daily latent_heat_flux, Daily Green_chromatic_coordinate, Daily Net_ecosystem_exchange, Daily Water_temperature, Daily Dissolved_oxygen, Weekly beetle_community_richness, Weekly beetle_community_abundance, Weekly Amblyomma_americanum_population, Daily Red_chromatic_coordinate", "start_datetime": "2023-01-01", "end_datetime": "2024-12-30", "providers": [ @@ -125,10 +125,10 @@ "keywords": [ "Forecasting", "neon4cast", + "Daily Chlorophyll_a", "Daily latent_heat_flux", "Daily Green_chromatic_coordinate", "Daily Net_ecosystem_exchange", - "Daily Chlorophyll_a", "Daily Water_temperature", "Daily Dissolved_oxygen", "Weekly beetle_community_richness", @@ -246,29 +246,29 @@ "description": "The link to the model code provided by the model submission team" }, "3": { + "type": "application/x-parquet", + "title": "Database Access for Daily Chlorophyll_a", + "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/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/parquet/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" + }, + "4": { "type": "application/x-parquet", "title": "Database Access for Daily latent_heat_flux", "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/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/parquet/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" }, - "4": { + "5": { "type": "application/x-parquet", "title": "Database Access for Daily Green_chromatic_coordinate", "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/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/parquet/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" }, - "5": { + "6": { "type": "application/x-parquet", "title": "Database Access for Daily Net_ecosystem_exchange", "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/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/parquet/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" }, - "6": { - "type": "application/x-parquet", - "title": "Database Access for Daily Chlorophyll_a", - "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/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/parquet/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" - }, "7": { "type": "application/x-parquet", "title": "Database Access for Daily Water_temperature", diff --git a/catalog/forecasts/models/model_items/tg_temp_lm.json b/catalog/forecasts/models/model_items/tg_temp_lm.json index 861573d44d..3ac6a0fe21 100644 --- a/catalog/forecasts/models/model_items/tg_temp_lm.json +++ b/catalog/forecasts/models/model_items/tg_temp_lm.json @@ -16,6 +16,16 @@ "geometry": { "type": "MultiPoint", "coordinates": [ + [-82.0084, 29.676], + [-87.7982, 32.5415], + [-89.4737, 46.2097], + [-84.4374, 31.1854], + [-89.7048, 45.9983], + [-99.1139, 47.1591], + [-99.2531, 47.1298], + [-82.0177, 29.6878], + [-88.1589, 31.8534], + [-149.6106, 68.6307], [-84.4686, 31.1948], [-106.8425, 32.5907], [-96.6129, 39.1104], @@ -63,16 +73,6 @@ [-66.8687, 17.9696], [-72.1727, 42.5369], [-149.2133, 63.8758], - [-82.0084, 29.676], - [-87.7982, 32.5415], - [-89.4737, 46.2097], - [-84.4374, 31.1854], - [-89.7048, 45.9983], - [-99.1139, 47.1591], - [-99.2531, 47.1298], - [-82.0177, 29.6878], - [-88.1589, 31.8534], - [-149.6106, 68.6307], [-102.4471, 39.7582], [-119.2575, 37.0597], [-110.5871, 44.9501], @@ -100,7 +100,7 @@ ] }, "properties": { - "description": "\nmodel info: NA\n\nSites: JERC, JORN, KONA, KONZ, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, SCBI, SERC, SJER, SOAP, SRER, STEI, STER, TALL, TEAK, TOOL, TREE, UKFS, UNDE, WOOD, WREF, YELL, ABBY, BARR, BART, BLAN, BONA, CLBJ, CPER, DCFS, DEJU, DELA, DSNY, GRSM, GUAN, HARV, HEAL, BARC, BLWA, CRAM, FLNT, LIRO, PRLA, PRPO, SUGG, TOMB, TOOK, ARIK, BIGC, BLDE, BLUE, CARI, COMO, CUPE, GUIL, HOPB, KING, LECO, LEWI, MART, MAYF, MCDI, MCRA, OKSR, POSE, PRIN, REDB, SYCA, TECR, WALK, WLOU\n\nVariables: Daily latent_heat_flux, Daily Green_chromatic_coordinate, Daily Chlorophyll_a, Daily Net_ecosystem_exchange, Daily Dissolved_oxygen, Weekly Amblyomma_americanum_population, Daily Water_temperature, Daily Red_chromatic_coordinate, Weekly beetle_community_richness, Weekly beetle_community_abundance", + "description": "\nmodel info: NA\n\nSites: BARC, BLWA, CRAM, FLNT, LIRO, PRLA, PRPO, SUGG, TOMB, TOOK, JERC, JORN, KONA, KONZ, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, SCBI, SERC, SJER, SOAP, SRER, STEI, STER, TALL, TEAK, TOOL, TREE, UKFS, UNDE, WOOD, WREF, YELL, ABBY, BARR, BART, BLAN, BONA, CLBJ, CPER, DCFS, DEJU, DELA, DSNY, GRSM, GUAN, HARV, HEAL, ARIK, BIGC, BLDE, BLUE, CARI, COMO, CUPE, GUIL, HOPB, KING, LECO, LEWI, MART, MAYF, MCDI, MCRA, OKSR, POSE, PRIN, REDB, SYCA, TECR, WALK, WLOU\n\nVariables: Daily Chlorophyll_a, Daily latent_heat_flux, Daily Green_chromatic_coordinate, Daily Net_ecosystem_exchange, Daily Dissolved_oxygen, Weekly Amblyomma_americanum_population, Daily Water_temperature, Daily Red_chromatic_coordinate, Weekly beetle_community_richness, Weekly beetle_community_abundance", "start_datetime": "2023-11-14", "end_datetime": "2024-02-16", "providers": [ @@ -125,9 +125,9 @@ "keywords": [ "Forecasting", "neon4cast", + "Daily Chlorophyll_a", "Daily latent_heat_flux", "Daily Green_chromatic_coordinate", - "Daily Chlorophyll_a", "Daily Net_ecosystem_exchange", "Daily Dissolved_oxygen", "Weekly Amblyomma_americanum_population", @@ -246,23 +246,23 @@ "description": "The link to the model code provided by the model submission team" }, "3": { + "type": "application/x-parquet", + "title": "Database Access for Daily Chlorophyll_a", + "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/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/parquet/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 Daily latent_heat_flux", "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/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/parquet/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" }, - "4": { + "5": { "type": "application/x-parquet", "title": "Database Access for Daily Green_chromatic_coordinate", "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/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/parquet/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 Chlorophyll_a", - "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/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/parquet/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" - }, "6": { "type": "application/x-parquet", "title": "Database Access for Daily Net_ecosystem_exchange", diff --git a/catalog/forecasts/models/model_items/tg_temp_lm_all_sites.json b/catalog/forecasts/models/model_items/tg_temp_lm_all_sites.json index 9efa0fb0b3..6b7fddd842 100644 --- a/catalog/forecasts/models/model_items/tg_temp_lm_all_sites.json +++ b/catalog/forecasts/models/model_items/tg_temp_lm_all_sites.json @@ -16,6 +16,16 @@ "geometry": { "type": "MultiPoint", "coordinates": [ + [-82.0084, 29.676], + [-87.7982, 32.5415], + [-89.4737, 46.2097], + [-84.4374, 31.1854], + [-89.7048, 45.9983], + [-99.1139, 47.1591], + [-99.2531, 47.1298], + [-82.0177, 29.6878], + [-88.1589, 31.8534], + [-149.6106, 68.6307], [-122.3303, 45.7624], [-156.6194, 71.2824], [-71.2874, 44.0639], @@ -63,16 +73,6 @@ [-99.2413, 47.1282], [-121.9519, 45.8205], [-110.5391, 44.9535], - [-82.0084, 29.676], - [-87.7982, 32.5415], - [-89.4737, 46.2097], - [-84.4374, 31.1854], - [-89.7048, 45.9983], - [-99.1139, 47.1591], - [-99.2531, 47.1298], - [-82.0177, 29.6878], - [-88.1589, 31.8534], - [-149.6106, 68.6307], [-84.2793, 35.9574], [-105.9154, 39.8914], [-102.4471, 39.7582], @@ -100,7 +100,7 @@ ] }, "properties": { - "description": "\nmodel info: NA\n\nSites: ABBY, BARR, BART, BLAN, BONA, CLBJ, CPER, DCFS, DEJU, DELA, DSNY, GRSM, GUAN, HARV, HEAL, JERC, JORN, KONA, KONZ, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, SCBI, SERC, SJER, SOAP, SRER, STEI, STER, TALL, TEAK, TOOL, TREE, UKFS, UNDE, WOOD, WREF, YELL, BARC, BLWA, CRAM, FLNT, LIRO, PRLA, PRPO, SUGG, TOMB, TOOK, WALK, WLOU, ARIK, BIGC, BLDE, BLUE, CARI, COMO, CUPE, GUIL, HOPB, KING, LECO, LEWI, MART, MAYF, MCDI, MCRA, OKSR, POSE, PRIN, REDB, SYCA, TECR\n\nVariables: Daily latent_heat_flux, Daily Green_chromatic_coordinate, Daily Chlorophyll_a, Daily Net_ecosystem_exchange, Daily Dissolved_oxygen, Weekly beetle_community_abundance, Daily Water_temperature, Weekly Amblyomma_americanum_population, Daily Red_chromatic_coordinate, Weekly beetle_community_richness", + "description": "\nmodel info: NA\n\nSites: BARC, BLWA, CRAM, FLNT, LIRO, PRLA, PRPO, SUGG, TOMB, TOOK, ABBY, BARR, BART, BLAN, BONA, CLBJ, CPER, DCFS, DEJU, DELA, DSNY, GRSM, GUAN, HARV, HEAL, JERC, JORN, KONA, KONZ, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, SCBI, SERC, SJER, SOAP, SRER, STEI, STER, TALL, TEAK, TOOL, TREE, UKFS, UNDE, WOOD, WREF, YELL, WALK, WLOU, ARIK, BIGC, BLDE, BLUE, CARI, COMO, CUPE, GUIL, HOPB, KING, LECO, LEWI, MART, MAYF, MCDI, MCRA, OKSR, POSE, PRIN, REDB, SYCA, TECR\n\nVariables: Daily Chlorophyll_a, Daily latent_heat_flux, Daily Green_chromatic_coordinate, Daily Net_ecosystem_exchange, Daily Dissolved_oxygen, Weekly beetle_community_abundance, Daily Water_temperature, Weekly Amblyomma_americanum_population, Daily Red_chromatic_coordinate, Weekly beetle_community_richness", "start_datetime": "2023-11-14", "end_datetime": "2024-02-16", "providers": [ @@ -125,9 +125,9 @@ "keywords": [ "Forecasting", "neon4cast", + "Daily Chlorophyll_a", "Daily latent_heat_flux", "Daily Green_chromatic_coordinate", - "Daily Chlorophyll_a", "Daily Net_ecosystem_exchange", "Daily Dissolved_oxygen", "Weekly beetle_community_abundance", @@ -246,23 +246,23 @@ "description": "The link to the model code provided by the model submission team" }, "3": { + "type": "application/x-parquet", + "title": "Database Access for Daily Chlorophyll_a", + "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/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/parquet/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" + }, + "4": { "type": "application/x-parquet", "title": "Database Access for Daily latent_heat_flux", "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/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/parquet/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" }, - "4": { + "5": { "type": "application/x-parquet", "title": "Database Access for Daily Green_chromatic_coordinate", "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/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/parquet/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" }, - "5": { - "type": "application/x-parquet", - "title": "Database Access for Daily Chlorophyll_a", - "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/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/parquet/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" - }, "6": { "type": "application/x-parquet", "title": "Database Access for Daily Net_ecosystem_exchange", From 4b07b6006d550d2f9a0500657f085b855f9d063a Mon Sep 17 00:00:00 2001 From: github-actions Date: Thu, 18 Jan 2024 02:25:20 +0000 Subject: [PATCH 2/2] update catalog --- catalog/noaa_forecasts/Pseudo/collection.json | 55 +++++-------------- .../Stage1-stats/collection.json | 55 +++++-------------- catalog/noaa_forecasts/Stage1/collection.json | 55 +++++-------------- catalog/noaa_forecasts/Stage2/collection.json | 55 +++++-------------- catalog/noaa_forecasts/Stage3/collection.json | 55 +++++-------------- catalog/noaa_forecasts/collection.json | 55 +++++-------------- 6 files changed, 90 insertions(+), 240 deletions(-) diff --git a/catalog/noaa_forecasts/Pseudo/collection.json b/catalog/noaa_forecasts/Pseudo/collection.json index 740db0544c..20f254a45a 100644 --- a/catalog/noaa_forecasts/Pseudo/collection.json +++ b/catalog/noaa_forecasts/Pseudo/collection.json @@ -52,22 +52,22 @@ "temporal": { "interval": [ [ - "2020-09-25T00:00:00Z", - "2024-02-11T00:00:00Z" + "2020-09-26T00:00:00Z", + "2024-02-20T00:00:00Z" ] ] } }, "table:columns": [ { - "name": "site_id", - "type": "string", - "description": "For forecasts that are not on a spatial grid, use of a site dimension that maps to a more detailed geometry (points, polygons, etc.) is allowable. In general this would be documented in the external metadata (e.g., alook-up table that provides lon and lat)" + "name": "parameter", + "type": "double", + "description": "ensemble member or distribution parameter" }, { - "name": "prediction", - "type": "double", - "description": "predicted value for variable" + "name": "datetime", + "type": "timestamp[us, tz=UTC]", + "description": "datetime of the forecasted value (ISO 8601)" }, { "name": "variable", @@ -75,19 +75,9 @@ "description": "name of forecasted variable" }, { - "name": "height", - "type": "string", - "description": "variable height" - }, - { - "name": "horizon", + "name": "prediction", "type": "double", - "description": "number of days in forecast" - }, - { - "name": "parameter", - "type": "int32", - "description": "ensemble member or distribution parameter" + "description": "predicted value for variable" }, { "name": "family", @@ -96,39 +86,24 @@ }, { "name": "reference_datetime", - "type": "timestamp[us, tz=UTC]", + "type": "string", "description": "datetime that the forecast was initiated (horizon = 0)" }, { - "name": "forecast_valid", + "name": "site_id", "type": "string", - "description": "date when forecast is valid" - }, - { - "name": "datetime", - "type": "timestamp[us, tz=UTC]", - "description": "datetime of the forecasted value (ISO 8601)" - }, - { - "name": "longitude", - "type": "double", - "description": "forecast site longitude" - }, - { - "name": "latitude", - "type": "double", - "description": "forecast site latitude" + "description": "For forecasts that are not on a spatial grid, use of a site dimension that maps to a more detailed geometry (points, polygons, etc.) is allowable. In general this would be documented in the external metadata (e.g., alook-up table that provides lon and lat)" } ], "assets": { "data": { - "href": "\"s3://anonymous@drivers/noaa/gefs-v12-reprocess/pseudo/parquet/0?endpoint_override=s3.flare-forecast.org\"", + "href": "\"s3://anonymous@bio230014-bucket01/neon4cast-drivers/noaa/gefs-v12pseudo/parquet/0?endpoint_override=sdsc.osn.xsede.org\"", "type": "application/x-parquet", "title": "Database Access", "roles": [ "data" ], - "description": "Use `arrow` for remote access to the database. This R code will return results for NEON forecasts associated with the forecasting challenge.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@drivers/noaa/gefs-v12-reprocess/pseudo/parquet/0?endpoint_override=s3.flare-forecast.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + "description": "Use `arrow` for remote access to the database. This R code will return results for NEON forecasts associated with the forecasting challenge.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/neon4cast-drivers/noaa/gefs-v12pseudo/parquet/0?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, "thumbnail": { "href": "https://raw.githubusercontent.com/eco4cast/neon4cast-ci/main/catalog/thumbnail_plots/neon_wetland.jpg", diff --git a/catalog/noaa_forecasts/Stage1-stats/collection.json b/catalog/noaa_forecasts/Stage1-stats/collection.json index 8082271ebd..312adfc9a2 100644 --- a/catalog/noaa_forecasts/Stage1-stats/collection.json +++ b/catalog/noaa_forecasts/Stage1-stats/collection.json @@ -52,22 +52,22 @@ "temporal": { "interval": [ [ - "2020-09-25T00:00:00Z", - "2024-02-11T00:00:00Z" + "2020-09-26T00:00:00Z", + "2024-02-20T00:00:00Z" ] ] } }, "table:columns": [ { - "name": "site_id", - "type": "string", - "description": "For forecasts that are not on a spatial grid, use of a site dimension that maps to a more detailed geometry (points, polygons, etc.) is allowable. In general this would be documented in the external metadata (e.g., alook-up table that provides lon and lat)" + "name": "parameter", + "type": "double", + "description": "ensemble member or distribution parameter" }, { - "name": "prediction", - "type": "double", - "description": "predicted value for variable" + "name": "datetime", + "type": "timestamp[us, tz=UTC]", + "description": "datetime of the forecasted value (ISO 8601)" }, { "name": "variable", @@ -75,19 +75,9 @@ "description": "name of forecasted variable" }, { - "name": "height", - "type": "string", - "description": "variable height" - }, - { - "name": "horizon", + "name": "prediction", "type": "double", - "description": "number of days in forecast" - }, - { - "name": "parameter", - "type": "int32", - "description": "ensemble member or distribution parameter" + "description": "predicted value for variable" }, { "name": "family", @@ -96,39 +86,24 @@ }, { "name": "reference_datetime", - "type": "timestamp[us, tz=UTC]", + "type": "string", "description": "datetime that the forecast was initiated (horizon = 0)" }, { - "name": "forecast_valid", + "name": "site_id", "type": "string", - "description": "date when forecast is valid" - }, - { - "name": "datetime", - "type": "timestamp[us, tz=UTC]", - "description": "datetime of the forecasted value (ISO 8601)" - }, - { - "name": "longitude", - "type": "double", - "description": "forecast site longitude" - }, - { - "name": "latitude", - "type": "double", - "description": "forecast site latitude" + "description": "For forecasts that are not on a spatial grid, use of a site dimension that maps to a more detailed geometry (points, polygons, etc.) is allowable. In general this would be documented in the external metadata (e.g., alook-up table that provides lon and lat)" } ], "assets": { "data": { - "href": "\"s3://anonymous@drivers/noaa/gefs-v12-reprocess/stage1-stats/parquet/0?endpoint_override=s3.flare-forecast.org\"", + "href": "\"s3://anonymous@bio230014-bucket01/neon4cast-drivers/noaa/gefs-v12stage1-stats/parquet/0?endpoint_override=sdsc.osn.xsede.org\"", "type": "application/x-parquet", "title": "Database Access", "roles": [ "data" ], - "description": "Use `arrow` for remote access to the database. This R code will return results for NEON forecasts associated with the forecasting challenge.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@drivers/noaa/gefs-v12-reprocess/stage1-stats/parquet/0?endpoint_override=s3.flare-forecast.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + "description": "Use `arrow` for remote access to the database. This R code will return results for NEON forecasts associated with the forecasting challenge.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/neon4cast-drivers/noaa/gefs-v12stage1-stats/parquet/0?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, "thumbnail": { "href": "https://raw.githubusercontent.com/eco4cast/neon4cast-ci/main/catalog/thumbnail_plots/neon_wetland.jpg", diff --git a/catalog/noaa_forecasts/Stage1/collection.json b/catalog/noaa_forecasts/Stage1/collection.json index 9ca561ff68..9f8aaa3fb7 100644 --- a/catalog/noaa_forecasts/Stage1/collection.json +++ b/catalog/noaa_forecasts/Stage1/collection.json @@ -52,22 +52,22 @@ "temporal": { "interval": [ [ - "2020-09-25T00:00:00Z", - "2024-02-11T00:00:00Z" + "2020-09-26T00:00:00Z", + "2024-02-20T00:00:00Z" ] ] } }, "table:columns": [ { - "name": "site_id", - "type": "string", - "description": "For forecasts that are not on a spatial grid, use of a site dimension that maps to a more detailed geometry (points, polygons, etc.) is allowable. In general this would be documented in the external metadata (e.g., alook-up table that provides lon and lat)" + "name": "parameter", + "type": "double", + "description": "ensemble member or distribution parameter" }, { - "name": "prediction", - "type": "double", - "description": "predicted value for variable" + "name": "datetime", + "type": "timestamp[us, tz=UTC]", + "description": "datetime of the forecasted value (ISO 8601)" }, { "name": "variable", @@ -75,19 +75,9 @@ "description": "name of forecasted variable" }, { - "name": "height", - "type": "string", - "description": "variable height" - }, - { - "name": "horizon", + "name": "prediction", "type": "double", - "description": "number of days in forecast" - }, - { - "name": "parameter", - "type": "int32", - "description": "ensemble member or distribution parameter" + "description": "predicted value for variable" }, { "name": "family", @@ -96,39 +86,24 @@ }, { "name": "reference_datetime", - "type": "timestamp[us, tz=UTC]", + "type": "string", "description": "datetime that the forecast was initiated (horizon = 0)" }, { - "name": "forecast_valid", + "name": "site_id", "type": "string", - "description": "date when forecast is valid" - }, - { - "name": "datetime", - "type": "timestamp[us, tz=UTC]", - "description": "datetime of the forecasted value (ISO 8601)" - }, - { - "name": "longitude", - "type": "double", - "description": "forecast site longitude" - }, - { - "name": "latitude", - "type": "double", - "description": "forecast site latitude" + "description": "For forecasts that are not on a spatial grid, use of a site dimension that maps to a more detailed geometry (points, polygons, etc.) is allowable. In general this would be documented in the external metadata (e.g., alook-up table that provides lon and lat)" } ], "assets": { "data": { - "href": "\"s3://anonymous@drivers/noaa/gefs-v12-reprocess/stage1/parquet/0?endpoint_override=s3.flare-forecast.org\"", + "href": "\"s3://anonymous@bio230014-bucket01/neon4cast-drivers/noaa/gefs-v12stage1/parquet/0?endpoint_override=sdsc.osn.xsede.org\"", "type": "application/x-parquet", "title": "Database Access", "roles": [ "data" ], - "description": "Use `arrow` for remote access to the database. This R code will return results for NEON forecasts associated with the forecasting challenge.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@drivers/noaa/gefs-v12-reprocess/stage1/parquet/0?endpoint_override=s3.flare-forecast.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + "description": "Use `arrow` for remote access to the database. This R code will return results for NEON forecasts associated with the forecasting challenge.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/neon4cast-drivers/noaa/gefs-v12stage1/parquet/0?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, "thumbnail": { "href": "https://raw.githubusercontent.com/eco4cast/neon4cast-ci/main/catalog/thumbnail_plots/neon_wetland.jpg", diff --git a/catalog/noaa_forecasts/Stage2/collection.json b/catalog/noaa_forecasts/Stage2/collection.json index a2e181c0d3..d8812c499c 100644 --- a/catalog/noaa_forecasts/Stage2/collection.json +++ b/catalog/noaa_forecasts/Stage2/collection.json @@ -52,22 +52,22 @@ "temporal": { "interval": [ [ - "2020-09-25T00:00:00Z", - "2024-02-11T00:00:00Z" + "2020-09-26T00:00:00Z", + "2024-02-20T00:00:00Z" ] ] } }, "table:columns": [ { - "name": "site_id", - "type": "string", - "description": "For forecasts that are not on a spatial grid, use of a site dimension that maps to a more detailed geometry (points, polygons, etc.) is allowable. In general this would be documented in the external metadata (e.g., alook-up table that provides lon and lat)" + "name": "parameter", + "type": "double", + "description": "ensemble member or distribution parameter" }, { - "name": "prediction", - "type": "double", - "description": "predicted value for variable" + "name": "datetime", + "type": "timestamp[us, tz=UTC]", + "description": "datetime of the forecasted value (ISO 8601)" }, { "name": "variable", @@ -75,19 +75,9 @@ "description": "name of forecasted variable" }, { - "name": "height", - "type": "string", - "description": "variable height" - }, - { - "name": "horizon", + "name": "prediction", "type": "double", - "description": "number of days in forecast" - }, - { - "name": "parameter", - "type": "int32", - "description": "ensemble member or distribution parameter" + "description": "predicted value for variable" }, { "name": "family", @@ -96,39 +86,24 @@ }, { "name": "reference_datetime", - "type": "timestamp[us, tz=UTC]", + "type": "string", "description": "datetime that the forecast was initiated (horizon = 0)" }, { - "name": "forecast_valid", + "name": "site_id", "type": "string", - "description": "date when forecast is valid" - }, - { - "name": "datetime", - "type": "timestamp[us, tz=UTC]", - "description": "datetime of the forecasted value (ISO 8601)" - }, - { - "name": "longitude", - "type": "double", - "description": "forecast site longitude" - }, - { - "name": "latitude", - "type": "double", - "description": "forecast site latitude" + "description": "For forecasts that are not on a spatial grid, use of a site dimension that maps to a more detailed geometry (points, polygons, etc.) is allowable. In general this would be documented in the external metadata (e.g., alook-up table that provides lon and lat)" } ], "assets": { "data": { - "href": "\"s3://anonymous@drivers/noaa/gefs-v12-reprocess/stage2/parquet/0?endpoint_override=s3.flare-forecast.org\"", + "href": "\"s3://anonymous@bio230014-bucket01/neon4cast-drivers/noaa/gefs-v12stage2/parquet/0?endpoint_override=sdsc.osn.xsede.org\"", "type": "application/x-parquet", "title": "Database Access", "roles": [ "data" ], - "description": "Use `arrow` for remote access to the database. This R code will return results for NEON forecasts associated with the forecasting challenge.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@drivers/noaa/gefs-v12-reprocess/stage2/parquet/0?endpoint_override=s3.flare-forecast.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + "description": "Use `arrow` for remote access to the database. This R code will return results for NEON forecasts associated with the forecasting challenge.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/neon4cast-drivers/noaa/gefs-v12stage2/parquet/0?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, "thumbnail": { "href": "https://raw.githubusercontent.com/eco4cast/neon4cast-ci/main/catalog/thumbnail_plots/neon_wetland.jpg", diff --git a/catalog/noaa_forecasts/Stage3/collection.json b/catalog/noaa_forecasts/Stage3/collection.json index 97d8c3ce86..f428d47ad7 100644 --- a/catalog/noaa_forecasts/Stage3/collection.json +++ b/catalog/noaa_forecasts/Stage3/collection.json @@ -52,22 +52,22 @@ "temporal": { "interval": [ [ - "2020-09-25T00:00:00Z", - "2024-02-11T00:00:00Z" + "2020-09-26T00:00:00Z", + "2024-02-20T00:00:00Z" ] ] } }, "table:columns": [ { - "name": "site_id", - "type": "string", - "description": "For forecasts that are not on a spatial grid, use of a site dimension that maps to a more detailed geometry (points, polygons, etc.) is allowable. In general this would be documented in the external metadata (e.g., alook-up table that provides lon and lat)" + "name": "parameter", + "type": "double", + "description": "ensemble member or distribution parameter" }, { - "name": "prediction", - "type": "double", - "description": "predicted value for variable" + "name": "datetime", + "type": "timestamp[us, tz=UTC]", + "description": "datetime of the forecasted value (ISO 8601)" }, { "name": "variable", @@ -75,19 +75,9 @@ "description": "name of forecasted variable" }, { - "name": "height", - "type": "string", - "description": "variable height" - }, - { - "name": "horizon", + "name": "prediction", "type": "double", - "description": "number of days in forecast" - }, - { - "name": "parameter", - "type": "int32", - "description": "ensemble member or distribution parameter" + "description": "predicted value for variable" }, { "name": "family", @@ -96,39 +86,24 @@ }, { "name": "reference_datetime", - "type": "timestamp[us, tz=UTC]", + "type": "string", "description": "datetime that the forecast was initiated (horizon = 0)" }, { - "name": "forecast_valid", + "name": "site_id", "type": "string", - "description": "date when forecast is valid" - }, - { - "name": "datetime", - "type": "timestamp[us, tz=UTC]", - "description": "datetime of the forecasted value (ISO 8601)" - }, - { - "name": "longitude", - "type": "double", - "description": "forecast site longitude" - }, - { - "name": "latitude", - "type": "double", - "description": "forecast site latitude" + "description": "For forecasts that are not on a spatial grid, use of a site dimension that maps to a more detailed geometry (points, polygons, etc.) is allowable. In general this would be documented in the external metadata (e.g., alook-up table that provides lon and lat)" } ], "assets": { "data": { - "href": "\"s3://anonymous@drivers/noaa/gefs-v12-reprocess/stage3/parquet/0?endpoint_override=s3.flare-forecast.org\"", + "href": "\"s3://anonymous@bio230014-bucket01/neon4cast-drivers/noaa/gefs-v12stage3/parquet/0?endpoint_override=sdsc.osn.xsede.org\"", "type": "application/x-parquet", "title": "Database Access", "roles": [ "data" ], - "description": "Use `arrow` for remote access to the database. This R code will return results for NEON forecasts associated with the forecasting challenge.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@drivers/noaa/gefs-v12-reprocess/stage3/parquet/0?endpoint_override=s3.flare-forecast.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + "description": "Use `arrow` for remote access to the database. This R code will return results for NEON forecasts associated with the forecasting challenge.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/neon4cast-drivers/noaa/gefs-v12stage3/parquet/0?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, "thumbnail": { "href": "https://raw.githubusercontent.com/eco4cast/neon4cast-ci/main/catalog/thumbnail_plots/neon_wetland.jpg", diff --git a/catalog/noaa_forecasts/collection.json b/catalog/noaa_forecasts/collection.json index 4c75c30829..1a02716723 100644 --- a/catalog/noaa_forecasts/collection.json +++ b/catalog/noaa_forecasts/collection.json @@ -87,22 +87,22 @@ "temporal": { "interval": [ [ - "2020-09-25T00:00:00Z", - "2024-02-11T00:00:00Z" + "2020-09-26T00:00:00Z", + "2024-02-20T00:00:00Z" ] ] } }, "table:columns": [ { - "name": "site_id", - "type": "string", - "description": "For forecasts that are not on a spatial grid, use of a site dimension that maps to a more detailed geometry (points, polygons, etc.) is allowable. In general this would be documented in the external metadata (e.g., alook-up table that provides lon and lat)" + "name": "parameter", + "type": "double", + "description": "ensemble member or distribution parameter" }, { - "name": "prediction", - "type": "double", - "description": "predicted value for variable" + "name": "datetime", + "type": "timestamp[us, tz=UTC]", + "description": "datetime of the forecasted value (ISO 8601)" }, { "name": "variable", @@ -110,19 +110,9 @@ "description": "name of forecasted variable" }, { - "name": "height", - "type": "string", - "description": "variable height" - }, - { - "name": "horizon", + "name": "prediction", "type": "double", - "description": "number of days in forecast" - }, - { - "name": "parameter", - "type": "int32", - "description": "ensemble member or distribution parameter" + "description": "predicted value for variable" }, { "name": "family", @@ -131,39 +121,24 @@ }, { "name": "reference_datetime", - "type": "timestamp[us, tz=UTC]", + "type": "string", "description": "datetime that the forecast was initiated (horizon = 0)" }, { - "name": "forecast_valid", + "name": "site_id", "type": "string", - "description": "date when forecast is valid" - }, - { - "name": "datetime", - "type": "timestamp[us, tz=UTC]", - "description": "datetime of the forecasted value (ISO 8601)" - }, - { - "name": "longitude", - "type": "double", - "description": "forecast site longitude" - }, - { - "name": "latitude", - "type": "double", - "description": "forecast site latitude" + "description": "For forecasts that are not on a spatial grid, use of a site dimension that maps to a more detailed geometry (points, polygons, etc.) is allowable. In general this would be documented in the external metadata (e.g., alook-up table that provides lon and lat)" } ], "assets": { "data": { - "href": "s3://anonymous@drivers/noaa/gefs-v12-reprocess/?endpoint_override=s3.flare-forecast.org", + "href": "s3://anonymous@bio230014-bucket01/neon4cast-drivers/noaa/gefs-v12?endpoint_override=sdsc.osn.xsede.org", "type": "application/x-parquet", "title": "Database Access", "roles": [ "data" ], - "description": "Use `arrow` for remote access to the database. This R code will return results for the Forecasting Challenge.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@drivers/noaa/gefs-v12-reprocess/?endpoint_override=s3.flare-forecast.org)\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + "description": "Use `arrow` for remote access to the database. This R code will return results for the Forecasting Challenge.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/neon4cast-drivers/noaa/gefs-v12?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, "thumbnail": { "href": "https://raw.githubusercontent.com/eco4cast/neon4cast-ci/main/catalog/thumbnail_plots/neon_wetland.jpg",