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update catalog
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github-actions committed Jan 2, 2024
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12 changes: 6 additions & 6 deletions catalog/forecasts/Phenology/Daily_Green_chromatic_coordinate/collection.json
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{
"rel": "item",
"type": "application/json",
"href": "../../models/model_items/persistenceRW.json"
"href": "../../models/model_items/cb_prophet.json"
},
{
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"type": "application/json",
"href": "../../models/model_items/tg_arima.json"
"href": "../../models/model_items/climatology.json"
},
{
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"href": "../../models/model_items/tg_auto_adam.json"
"href": "../../models/model_items/persistenceRW.json"
},
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"href": "../../models/model_items/tg_bag_mlp.json"
"href": "../../models/model_items/tg_arima.json"
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"href": "../../models/model_items/tg_auto_adam.json"
},
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"href": "../../models/model_items/climatology.json"
"href": "../../models/model_items/tg_bag_mlp.json"
},
{
"rel": "item",
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24 changes: 12 additions & 12 deletions catalog/forecasts/Terrestrial/Daily_Net_ecosystem_exchange/collection.json
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{
"rel": "item",
"type": "application/json",
"href": "../../models/model_items/tg_arima.json"
"href": "../../models/model_items/cb_prophet.json"
},
{
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"type": "application/json",
"href": "../../models/model_items/tg_auto_adam.json"
"href": "../../models/model_items/climatology.json"
},
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"href": "../../models/model_items/lasso.json"
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"href": "../../models/model_items/persistenceRW.json"
},
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"href": "../../models/model_items/tg_arima.json"
},
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"href": "../../models/model_items/tg_precip_lm_all_sites.json"
"href": "../../models/model_items/tg_precip_lm.json"
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"href": "../../models/model_items/tg_precip_lm_all_sites.json"
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"href": "../../models/model_items/tg_auto_adam.json"
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"type": "application/json",
"href": "../../models/model_items/persistenceRW.json"
"href": "../../models/model_items/tg_ets.json"
},
{
"rel": "item",
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16 changes: 8 additions & 8 deletions catalog/forecasts/Terrestrial/Daily_latent_heat_flux/collection.json
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{
"rel": "item",
"type": "application/json",
"href": "../../models/model_items/tg_ets.json"
"href": "../../models/model_items/cb_prophet.json"
},
{
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"href": "../../models/model_items/tg_humidity_lm_all_sites.json"
"href": "../../models/model_items/climatology.json"
},
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"href": "../../models/model_items/randfor.json"
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"href": "../../models/model_items/tg_arima.json"
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"href": "../../models/model_items/tg_ets.json"
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"href": "../../models/model_items/tg_arima.json"
"href": "../../models/model_items/tg_precip_lm.json"
},
{
"rel": "item",
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42 changes: 21 additions & 21 deletions catalog/forecasts/models/collection.json
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{
"rel": "item",
"type": "application/json",
"href": "model_items/persistenceRW.json"
},
{
"rel": "item",
"type": "application/json",
"href": "model_items/tg_arima.json"
"href": "model_items/USGSHABs1.json"
},
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"href": "model_items/tg_auto_adam.json"
"href": "model_items/cb_prophet.json"
},
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"href": "model_items/tg_bag_mlp.json"
"href": "model_items/climatology.json"
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"href": "model_items/USGSHABs1.json"
"href": "model_items/persistenceRW.json"
},
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"href": "model_items/procBlanchardMonod.json"
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"href": "model_items/procBlanchardSteele.json"
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"href": "model_items/procCTMIMonod.json"
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"href": "model_items/procCTMISteele.json"
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"href": "model_items/procEppleyNorbergMonod.json"
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},
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"href": "model_items/procHinshelwoodSteele.json"
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"href": "model_items/tg_arima.json"
},
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"href": "model_items/procHinshelwoodSteele.json"
"href": "model_items/tg_bag_mlp.json"
},
{
"rel": "item",
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"type": "application/json",
"href": "model_items/tg_temp_lm_all_sites.json"
},
{
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"type": "application/json",
"href": "model_items/tg_auto_adam.json"
},
{
"rel": "item",
"type": "application/json",
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{
"rel": "item",
"type": "application/json",
"href": "model_items/precip_mod.json"
"href": "model_items/PEG.json"
},
{
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"href": "model_items/neon4cast_example.json"
"href": "model_items/precip_mod.json"
},
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"type": "application/json",
"href": "model_items/PEG.json"
"href": "model_items/neon4cast_example.json"
},
{
"rel": "parent",
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40 changes: 20 additions & 20 deletions catalog/forecasts/models/model_items/persistenceRW.json
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"geometry": {
"type": "MultiPoint",
"coordinates": [
[-149.6106, 68.6307],
[-82.0084, 29.676],
[-87.7982, 32.5415],
[-89.4737, 46.2097],
[-84.4374, 31.1854],
[-89.7048, 45.9983],
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[-119.2622, 37.0334],
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[-80.5248, 37.3783],
Expand All @@ -27,12 +39,6 @@
[-106.8425, 32.5907],
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[-105.546, 40.2759],
Expand All @@ -51,12 +57,6 @@
[-99.0588, 35.4106],
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[-84.2826, 35.9641],
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[-82.0084, 29.676],
[-87.7982, 32.5415],
[-89.4737, 46.2097],
[-84.4374, 31.1854],
[-89.7048, 45.9983],
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[-99.2413, 47.1282],
[-121.9519, 45.8205],
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]
},
"properties": {
"description": ["\nmodel info: Random walk from the fable package with ensembles used to represent uncertainty\n\nSites: LAJA, LENO, MLBS, MOAB, NIWO, NOGP, HEAL, JERC, JORN, KONA, KONZ, SJER, SOAP, SRER, STEI, STER, TALL, OSBS, PUUM, RMNP, SCBI, SERC, ABBY, BARR, BART, BLAN, BONA, CLBJ, CPER, DCFS, DEJU, DELA, OAES, ONAQ, ORNL, TOOK, BARC, BLWA, CRAM, FLNT, LIRO, UNDE, WOOD, WREF, YELL, TEAK, TOOL, TREE, UKFS, DSNY, GRSM, GUAN, HARV, TECR, TOMB, WALK, WLOU, SYCA, MAYF, MCDI, MCRA, OKSR, POSE, PRIN, LECO, LEWI, MART, PRLA, PRPO, REDB, SUGG, ARIK, BIGC, BLDE, BLUE, CARI, COMO, CUPE, KING, GUIL, HOPB\n\nVariables: Daily Green_chromatic_coordinate, Daily Chlorophyll_a, Daily Net_ecosystem_exchange, Daily Red_chromatic_coordinate, Daily Dissolved_oxygen, Daily Water_temperature", "\nmodel info: NA\n\nSites: LAJA, LENO, MLBS, MOAB, NIWO, NOGP, HEAL, JERC, JORN, KONA, KONZ, SJER, SOAP, SRER, STEI, STER, TALL, OSBS, PUUM, RMNP, SCBI, SERC, ABBY, BARR, BART, BLAN, BONA, CLBJ, CPER, DCFS, DEJU, DELA, OAES, ONAQ, ORNL, TOOK, BARC, BLWA, CRAM, FLNT, LIRO, UNDE, WOOD, WREF, YELL, TEAK, TOOL, TREE, UKFS, DSNY, GRSM, GUAN, HARV, TECR, TOMB, WALK, WLOU, SYCA, MAYF, MCDI, MCRA, OKSR, POSE, PRIN, LECO, LEWI, MART, PRLA, PRPO, REDB, SUGG, ARIK, BIGC, BLDE, BLUE, CARI, COMO, CUPE, KING, GUIL, HOPB\n\nVariables: Daily Green_chromatic_coordinate, Daily Chlorophyll_a, Daily Net_ecosystem_exchange, Daily Red_chromatic_coordinate, Daily Dissolved_oxygen, Daily Water_temperature"],
"description": ["\nmodel info: Random walk from the fable package with ensembles used to represent uncertainty\n\nSites: TOOK, BARC, BLWA, CRAM, FLNT, LIRO, SJER, SOAP, SRER, STEI, STER, TALL, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, HEAL, JERC, JORN, KONA, KONZ, OSBS, PUUM, RMNP, SCBI, SERC, ABBY, BARR, BART, BLAN, BONA, CLBJ, CPER, DCFS, DEJU, DELA, OAES, ONAQ, ORNL, UNDE, WOOD, WREF, YELL, TEAK, TOOL, TREE, UKFS, DSNY, GRSM, GUAN, HARV, TECR, TOMB, WALK, WLOU, SYCA, MAYF, MCDI, MCRA, OKSR, POSE, PRIN, LECO, LEWI, MART, PRLA, PRPO, REDB, SUGG, ARIK, BIGC, BLDE, BLUE, CARI, COMO, CUPE, KING, GUIL, HOPB\n\nVariables: Daily Chlorophyll_a, Daily Green_chromatic_coordinate, Daily Net_ecosystem_exchange, Daily Red_chromatic_coordinate, Daily Dissolved_oxygen, Daily Water_temperature", "\nmodel info: NA\n\nSites: TOOK, BARC, BLWA, CRAM, FLNT, LIRO, SJER, SOAP, SRER, STEI, STER, TALL, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, HEAL, JERC, JORN, KONA, KONZ, OSBS, PUUM, RMNP, SCBI, SERC, ABBY, BARR, BART, BLAN, BONA, CLBJ, CPER, DCFS, DEJU, DELA, OAES, ONAQ, ORNL, UNDE, WOOD, WREF, YELL, TEAK, TOOL, TREE, UKFS, DSNY, GRSM, GUAN, HARV, TECR, TOMB, WALK, WLOU, SYCA, MAYF, MCDI, MCRA, OKSR, POSE, PRIN, LECO, LEWI, MART, PRLA, PRPO, REDB, SUGG, ARIK, BIGC, BLDE, BLUE, CARI, COMO, CUPE, KING, GUIL, HOPB\n\nVariables: Daily Chlorophyll_a, Daily Green_chromatic_coordinate, Daily Net_ecosystem_exchange, Daily Red_chromatic_coordinate, Daily Dissolved_oxygen, Daily Water_temperature"],
"start_datetime": "2023-11-15",
"end_datetime": "2024-02-04",
"providers": [
Expand All @@ -125,8 +125,8 @@
"keywords": [
"Forecasting",
"neon4cast",
"Daily Green_chromatic_coordinate",
"Daily Chlorophyll_a",
"Daily Green_chromatic_coordinate",
"Daily Net_ecosystem_exchange",
"Daily Red_chromatic_coordinate",
"Daily Dissolved_oxygen",
Expand Down Expand Up @@ -242,17 +242,17 @@
"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/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/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/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/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": {
"type": "application/x-parquet",
"title": "Database Access for Daily Green_chromatic_coordinate",
"href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/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/duration=P1D/variable=gcc_90/model_id=persistenceRW?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
},
"5": {
"type": "application/x-parquet",
"title": "Database Access for Daily Net_ecosystem_exchange",
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