diff --git a/catalog/forecasts/Aquatics/Daily_Chlorophyll_a/collection.json b/catalog/forecasts/Aquatics/Daily_Chlorophyll_a/collection.json index 9c4294a0de..b35c29a7da 100644 --- a/catalog/forecasts/Aquatics/Daily_Chlorophyll_a/collection.json +++ b/catalog/forecasts/Aquatics/Daily_Chlorophyll_a/collection.json @@ -183,11 +183,7 @@ "interval": [ [ "2023-01-01T00:00:00Z", -<<<<<<< HEAD "2024-01-10T00:00:00Z" -======= - "2024-01-09T00:00:00Z" ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 ] ] } @@ -256,13 +252,13 @@ ], "assets": { "data": { - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/project_id=neon4cast/duration=P1D/variable=chla?endpoint_override=sdsc.osn.xsede.org", + "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/project_id=neon4cast/duration=P1D/variable=chla?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 forecasts of the variable by the specific model .\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?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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 forecasts of the variable by the specific model .\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?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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": "pending", diff --git a/catalog/forecasts/Aquatics/Daily_Dissolved_oxygen/collection.json b/catalog/forecasts/Aquatics/Daily_Dissolved_oxygen/collection.json index 96ac55470c..bf21b07d2f 100644 --- a/catalog/forecasts/Aquatics/Daily_Dissolved_oxygen/collection.json +++ b/catalog/forecasts/Aquatics/Daily_Dissolved_oxygen/collection.json @@ -163,11 +163,7 @@ "interval": [ [ "2023-01-01T00:00:00Z", -<<<<<<< HEAD "2024-10-30T00:00:00Z" -======= - "2024-10-29T00:00:00Z" ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 ] ] } @@ -236,13 +232,13 @@ ], "assets": { "data": { - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/project_id=neon4cast/duration=P1D/variable=oxygen?endpoint_override=sdsc.osn.xsede.org", + "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/project_id=neon4cast/duration=P1D/variable=oxygen?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 forecasts of the variable by the specific model .\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?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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 forecasts of the variable by the specific model .\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?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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": "pending", diff --git a/catalog/forecasts/Aquatics/Daily_Water_temperature/collection.json b/catalog/forecasts/Aquatics/Daily_Water_temperature/collection.json index c073a16e7a..f66fc231e1 100644 --- a/catalog/forecasts/Aquatics/Daily_Water_temperature/collection.json +++ b/catalog/forecasts/Aquatics/Daily_Water_temperature/collection.json @@ -233,11 +233,7 @@ "interval": [ [ "2023-01-01T00:00:00Z", -<<<<<<< HEAD "2024-10-30T00:00:00Z" -======= - "2024-10-29T00:00:00Z" ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 ] ] } @@ -306,13 +302,13 @@ ], "assets": { "data": { - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/project_id=neon4cast/duration=P1D/variable=temperature?endpoint_override=sdsc.osn.xsede.org", + "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/project_id=neon4cast/duration=P1D/variable=temperature?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 forecasts of the variable by the specific model .\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?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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 forecasts of the variable by the specific model .\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?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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": "pending", diff --git a/catalog/forecasts/Aquatics/collection.json b/catalog/forecasts/Aquatics/collection.json index 2d180dc21f..46359cf3ab 100644 --- a/catalog/forecasts/Aquatics/collection.json +++ b/catalog/forecasts/Aquatics/collection.json @@ -137,13 +137,13 @@ ], "assets": { "data": { - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/?endpoint_override=sdsc.osn.xsede.org", + "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/?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 NEON Ecological Forecasting Aquatics theme.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |>\n dplyr::filter(variable %in% c(\"oxygen\", \"temperature\", \"chla\")) |>\n dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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 NEON Ecological Forecasting Aquatics theme.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |>\n dplyr::filter(variable %in% c(\"oxygen\", \"temperature\", \"chla\")) |>\n dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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://projects.ecoforecast.org/neon4cast-catalog/img/neon_buoy.jpg", diff --git a/catalog/forecasts/Beetles/Weekly_beetle_community_abundance/collection.json b/catalog/forecasts/Beetles/Weekly_beetle_community_abundance/collection.json index e25cfb0856..0055037d31 100644 --- a/catalog/forecasts/Beetles/Weekly_beetle_community_abundance/collection.json +++ b/catalog/forecasts/Beetles/Weekly_beetle_community_abundance/collection.json @@ -197,13 +197,13 @@ ], "assets": { "data": { - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/project_id=neon4cast/duration=P1W/variable=abundance?endpoint_override=sdsc.osn.xsede.org", + "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/project_id=neon4cast/duration=P1W/variable=abundance?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 forecasts of the variable by the specific model .\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?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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 forecasts of the variable by the specific model .\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?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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": "pending", diff --git a/catalog/forecasts/Beetles/Weekly_beetle_community_richness/collection.json b/catalog/forecasts/Beetles/Weekly_beetle_community_richness/collection.json index eaf026e990..d1f34bf21e 100644 --- a/catalog/forecasts/Beetles/Weekly_beetle_community_richness/collection.json +++ b/catalog/forecasts/Beetles/Weekly_beetle_community_richness/collection.json @@ -197,13 +197,13 @@ ], "assets": { "data": { - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/project_id=neon4cast/duration=P1W/variable=richness?endpoint_override=sdsc.osn.xsede.org", + "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/project_id=neon4cast/duration=P1W/variable=richness?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 forecasts of the variable by the specific model .\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?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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 forecasts of the variable by the specific model .\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?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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": "pending", diff --git a/catalog/forecasts/Beetles/collection.json b/catalog/forecasts/Beetles/collection.json index 6e47b50eb0..dc3249a96f 100644 --- a/catalog/forecasts/Beetles/collection.json +++ b/catalog/forecasts/Beetles/collection.json @@ -132,13 +132,13 @@ ], "assets": { "data": { - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/?endpoint_override=sdsc.osn.xsede.org", + "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/?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 NEON Ecological Forecasting Aquatics theme.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |>\n dplyr::filter(variable %in% c(\"abundance\", \"richness\")) |>\n dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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 NEON Ecological Forecasting Aquatics theme.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |>\n dplyr::filter(variable %in% c(\"abundance\", \"richness\")) |>\n dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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://www.neonscience.org/sites/default/files/styles/max_width_1170px/public/image-content-images/Beetles_pinned.jpg", diff --git a/catalog/forecasts/Phenology/Daily_Green_chromatic_coordinate/collection.json b/catalog/forecasts/Phenology/Daily_Green_chromatic_coordinate/collection.json index 4c112a757d..c6d963f962 100644 --- a/catalog/forecasts/Phenology/Daily_Green_chromatic_coordinate/collection.json +++ b/catalog/forecasts/Phenology/Daily_Green_chromatic_coordinate/collection.json @@ -138,11 +138,7 @@ "interval": [ [ "2023-01-01T00:00:00Z", -<<<<<<< HEAD "2024-01-10T00:00:00Z" -======= - "2024-01-09T00:00:00Z" ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 ] ] } @@ -211,13 +207,13 @@ ], "assets": { "data": { - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/project_id=neon4cast/duration=P1D/variable=gcc_90?endpoint_override=sdsc.osn.xsede.org", + "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/project_id=neon4cast/duration=P1D/variable=gcc_90?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 forecasts of the variable by the specific model .\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?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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 forecasts of the variable by the specific model .\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?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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": "pending", diff --git a/catalog/forecasts/Phenology/Daily_Red_chromatic_coordinate/collection.json b/catalog/forecasts/Phenology/Daily_Red_chromatic_coordinate/collection.json index 4de719f540..913cf67314 100644 --- a/catalog/forecasts/Phenology/Daily_Red_chromatic_coordinate/collection.json +++ b/catalog/forecasts/Phenology/Daily_Red_chromatic_coordinate/collection.json @@ -153,11 +153,7 @@ "interval": [ [ "2023-01-01T00:00:00Z", -<<<<<<< HEAD "2024-01-10T00:00:00Z" -======= - "2024-01-09T00:00:00Z" ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 ] ] } @@ -226,13 +222,13 @@ ], "assets": { "data": { - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/project_id=neon4cast/duration=P1D/variable=rcc_90?endpoint_override=sdsc.osn.xsede.org", + "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/project_id=neon4cast/duration=P1D/variable=rcc_90?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 forecasts of the variable by the specific model .\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?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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 forecasts of the variable by the specific model .\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?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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": "pending", diff --git a/catalog/forecasts/Phenology/collection.json b/catalog/forecasts/Phenology/collection.json index fef2a153c9..334bad77fd 100644 --- a/catalog/forecasts/Phenology/collection.json +++ b/catalog/forecasts/Phenology/collection.json @@ -132,13 +132,13 @@ ], "assets": { "data": { - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/?endpoint_override=sdsc.osn.xsede.org", + "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/?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 NEON Ecological Forecasting Aquatics theme.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |>\n dplyr::filter(variable %in% c(\"gcc_90\", \"rcc_90\")) |>\n dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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 NEON Ecological Forecasting Aquatics theme.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |>\n dplyr::filter(variable %in% c(\"gcc_90\", \"rcc_90\")) |>\n dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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://www.neonscience.org/sites/default/files/styles/max_1300x1300/public/image-content-images/_BFP8455.jpg", diff --git a/catalog/forecasts/Terrestrial/30min_latent_heat_flux/collection.json b/catalog/forecasts/Terrestrial/30min_latent_heat_flux/collection.json index f1317675e5..08268d6351 100644 --- a/catalog/forecasts/Terrestrial/30min_latent_heat_flux/collection.json +++ b/catalog/forecasts/Terrestrial/30min_latent_heat_flux/collection.json @@ -58,11 +58,7 @@ "interval": [ [ "2023-11-14T00:00:00Z", -<<<<<<< HEAD "2023-12-16T00:00:00Z" -======= - "2023-12-15T00:00:00Z" ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 ] ] } @@ -131,13 +127,13 @@ ], "assets": { "data": { - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/project_id=neon4cast/duration=PT30M/variable=le?endpoint_override=sdsc.osn.xsede.org", + "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/project_id=neon4cast/duration=PT30M/variable=le?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 forecasts of the variable by the specific model .\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?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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 forecasts of the variable by the specific model .\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?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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": "pending", diff --git a/catalog/forecasts/Terrestrial/Daily_Net_ecosystem_exchange/collection.json b/catalog/forecasts/Terrestrial/Daily_Net_ecosystem_exchange/collection.json index 5f4d381c25..1fcb9ada5b 100644 --- a/catalog/forecasts/Terrestrial/Daily_Net_ecosystem_exchange/collection.json +++ b/catalog/forecasts/Terrestrial/Daily_Net_ecosystem_exchange/collection.json @@ -133,11 +133,7 @@ "interval": [ [ "2023-01-01T00:00:00Z", -<<<<<<< HEAD "2024-01-11T00:00:00Z" -======= - "2024-01-10T00:00:00Z" ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 ] ] } @@ -206,13 +202,13 @@ ], "assets": { "data": { - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/project_id=neon4cast/duration=P1D/variable=le?endpoint_override=sdsc.osn.xsede.org", + "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/project_id=neon4cast/duration=P1D/variable=le?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 forecasts of the variable by the specific model .\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?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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 forecasts of the variable by the specific model .\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?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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": "pending", diff --git a/catalog/forecasts/Terrestrial/collection.json b/catalog/forecasts/Terrestrial/collection.json index f4d21e33be..e0f5b1ef3e 100644 --- a/catalog/forecasts/Terrestrial/collection.json +++ b/catalog/forecasts/Terrestrial/collection.json @@ -142,13 +142,13 @@ ], "assets": { "data": { - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/?endpoint_override=sdsc.osn.xsede.org", + "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/?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 NEON Ecological Forecasting Aquatics theme.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |>\n dplyr::filter(variable %in% c(\"nee\", \"le\")) |>\n dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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 NEON Ecological Forecasting Aquatics theme.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |>\n dplyr::filter(variable %in% c(\"nee\", \"le\")) |>\n dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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://projects.ecoforecast.org/neon4cast-catalog/img/BONA_Twr.jpg", diff --git a/catalog/forecasts/Ticks/Weekly_Amblyomma_americanum_population/collection.json b/catalog/forecasts/Ticks/Weekly_Amblyomma_americanum_population/collection.json index 5f80304f5d..0b46faf3be 100644 --- a/catalog/forecasts/Ticks/Weekly_Amblyomma_americanum_population/collection.json +++ b/catalog/forecasts/Ticks/Weekly_Amblyomma_americanum_population/collection.json @@ -192,13 +192,13 @@ ], "assets": { "data": { - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/project_id=neon4cast/duration=P1W/variable=amblyomma_americanum?endpoint_override=sdsc.osn.xsede.org", + "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/project_id=neon4cast/duration=P1W/variable=amblyomma_americanum?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 forecasts of the variable by the specific model .\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?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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 forecasts of the variable by the specific model .\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?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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": "pending", diff --git a/catalog/forecasts/Ticks/collection.json b/catalog/forecasts/Ticks/collection.json index f6d950f874..466989cb48 100644 --- a/catalog/forecasts/Ticks/collection.json +++ b/catalog/forecasts/Ticks/collection.json @@ -127,13 +127,13 @@ ], "assets": { "data": { - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/?endpoint_override=sdsc.osn.xsede.org", + "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/?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 NEON Ecological Forecasting Aquatics theme.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |>\n dplyr::filter(variable %in% c(\"amblyomma_americanum\")) |>\n dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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 NEON Ecological Forecasting Aquatics theme.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |>\n dplyr::filter(variable %in% c(\"amblyomma_americanum\")) |>\n dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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/tick_drag.jpg", diff --git a/catalog/forecasts/collection.json b/catalog/forecasts/collection.json index 5a186c320f..bf3984804f 100644 --- a/catalog/forecasts/collection.json +++ b/catalog/forecasts/collection.json @@ -163,13 +163,13 @@ ], "assets": { "data": { - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/?endpoint_override=sdsc.osn.xsede.org", + "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/?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 VERA Forecasting Challenge.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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 VERA Forecasting Challenge.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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/51629805865_0ef01ffbbc_c.jpg", diff --git a/catalog/forecasts/models/collection.json b/catalog/forecasts/models/collection.json index e628b5e4c2..d3eb9bdb33 100644 --- a/catalog/forecasts/models/collection.json +++ b/catalog/forecasts/models/collection.json @@ -367,13 +367,13 @@ ], "assets": { "data": { - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/?endpoint_override=sdsc.osn.xsede.org", + "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/?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 forecasts of the variable by the specific model .\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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 forecasts of the variable by the specific model .\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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": "pending", diff --git a/catalog/forecasts/models/model_items/GLEON_JRabaey_temp_physics.json b/catalog/forecasts/models/model_items/GLEON_JRabaey_temp_physics.json index 5ff96a4057..249ef3cdb4 100644 --- a/catalog/forecasts/models/model_items/GLEON_JRabaey_temp_physics.json +++ b/catalog/forecasts/models/model_items/GLEON_JRabaey_temp_physics.json @@ -55,11 +55,7 @@ "properties": { "description": "\nmodel info: NA\n\nSites: ARIK, BARC, BIGC, BLDE, BLUE, BLWA, CARI, COMO, CRAM, CUPE, FLNT, GUIL, HOPB, KING, LECO, LEWI, LIRO, MART, MAYF, MCDI, MCRA, OKSR, POSE, PRIN, PRLA, PRPO, REDB, SUGG, SYCA, TECR, TOMB, TOOK, WALK, WLOU\n\nVariables: Daily Water_temperature", "start_datetime": "2023-11-14", -<<<<<<< HEAD "end_datetime": "2024-01-07", -======= - "end_datetime": "2024-01-06", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/forecasts/models/model_items/GLEON_lm_lag_1day.json b/catalog/forecasts/models/model_items/GLEON_lm_lag_1day.json index c5c3b43034..e6523c11b8 100644 --- a/catalog/forecasts/models/model_items/GLEON_lm_lag_1day.json +++ b/catalog/forecasts/models/model_items/GLEON_lm_lag_1day.json @@ -28,11 +28,7 @@ "properties": { "description": "\nmodel info: NA\n\nSites: BARC, CRAM, LIRO, PRLA, PRPO, SUGG, TOOK\n\nVariables: Daily Dissolved_oxygen, Daily Water_temperature", "start_datetime": "2023-11-14", -<<<<<<< HEAD "end_datetime": "2024-01-08", -======= - "end_datetime": "2024-01-07", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/forecasts/models/model_items/USGSHABs1.json b/catalog/forecasts/models/model_items/USGSHABs1.json index be7f635e8c..abf87a67bd 100644 --- a/catalog/forecasts/models/model_items/USGSHABs1.json +++ b/catalog/forecasts/models/model_items/USGSHABs1.json @@ -24,11 +24,7 @@ "properties": { "description": "\nmodel info: NA\n\nSites: BLWA, TOMB, FLNT\n\nVariables: Daily Chlorophyll_a", "start_datetime": "2023-11-12", -<<<<<<< HEAD "end_datetime": "2024-01-08", -======= - "end_datetime": "2024-01-07", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/forecasts/models/model_items/air2waterSat_2.json b/catalog/forecasts/models/model_items/air2waterSat_2.json index af474c106c..df90dc1cbb 100644 --- a/catalog/forecasts/models/model_items/air2waterSat_2.json +++ b/catalog/forecasts/models/model_items/air2waterSat_2.json @@ -55,11 +55,7 @@ "properties": { "description": "\nmodel info: NA\n\nSites: TOMB, TOOK, WALK, WLOU, ARIK, BARC, BIGC, BLDE, BLUE, BLWA, CARI, COMO, CRAM, CUPE, FLNT, GUIL, HOPB, KING, LECO, LEWI, LIRO, MART, MAYF, MCDI, MCRA, OKSR, POSE, PRIN, PRLA, PRPO, REDB, SUGG, SYCA, TECR\n\nVariables: Daily Dissolved_oxygen, Daily Water_temperature", "start_datetime": "2023-11-14", -<<<<<<< HEAD "end_datetime": "2024-01-09", -======= - "end_datetime": "2024-01-08", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/forecasts/models/model_items/baseline_ensemble.json b/catalog/forecasts/models/model_items/baseline_ensemble.json index 3e5f7fab4a..925cd47477 100644 --- a/catalog/forecasts/models/model_items/baseline_ensemble.json +++ b/catalog/forecasts/models/model_items/baseline_ensemble.json @@ -90,11 +90,7 @@ "properties": { "description": "\nmodel info: NA\n\nSites: STEI, STER, TALL, TEAK, TREE, UKFS, ARIK, BARC, BIGC, BLDE, BLUE, MCDI, MCRA, POSE, PRIN, REDB, DCFS, DELA, DSNY, GRSM, GUAN, UNDE, WOOD, WREF, YELL, LENO, MLBS, MOAB, NIWO, NOGP, SCBI, SERC, SJER, SOAP, SRER, HOPB, KING, LECO, LEWI, MART, MAYF, BLWA, COMO, CUPE, FLNT, GUIL, SUGG, SYCA, TECR, TOMB, WALK, WLOU, ABBY, BART, BLAN, CLBJ, CPER, JERC, JORN, KONA, KONZ, LAJA, HARV, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP\n\nVariables: Daily Red_chromatic_coordinate, Daily Water_temperature", "start_datetime": "2023-11-14", -<<<<<<< HEAD "end_datetime": "2024-01-04", -======= - "end_datetime": "2024-01-03", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/forecasts/models/model_items/cb_f1.json b/catalog/forecasts/models/model_items/cb_f1.json index 5c8a84e760..7842105fd4 100644 --- a/catalog/forecasts/models/model_items/cb_f1.json +++ b/catalog/forecasts/models/model_items/cb_f1.json @@ -55,11 +55,7 @@ "properties": { "description": [], "start_datetime": "2023-10-11", -<<<<<<< HEAD "end_datetime": "2024-10-30", -======= - "end_datetime": "2024-10-29", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/forecasts/models/model_items/cb_prophet.json b/catalog/forecasts/models/model_items/cb_prophet.json index 3d40e82634..ab284fdc01 100644 --- a/catalog/forecasts/models/model_items/cb_prophet.json +++ b/catalog/forecasts/models/model_items/cb_prophet.json @@ -100,11 +100,7 @@ "properties": { "description": "\nmodel info: NA\n\nSites: 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, SCBI, MOAB, PUUM, BLWA, CARI, COMO, CRAM, CUPE, FLNT, GUIL, HOPB, KING, LECO, LEWI, LIRO, MART, MAYF, MCDI, MCRA, POSE, PRIN, PRLA, PRPO, REDB, SUGG, SYCA, TECR, TOMB, WALK, WLOU, YELL, BONA, GUAN, OSBS, ARIK, BARC, BIGC, BLDE, BLUE\n\nVariables: Daily Net_ecosystem_exchange, Daily Dissolved_oxygen, Daily Green_chromatic_coordinate, Daily latent_heat_flux, Daily Red_chromatic_coordinate, Daily Water_temperature, Daily Chlorophyll_a", "start_datetime": "2023-11-14", -<<<<<<< HEAD "end_datetime": "2024-01-08", -======= - "end_datetime": "2024-01-07", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/forecasts/models/model_items/climatology.json b/catalog/forecasts/models/model_items/climatology.json index 85d83fb960..8a619d73b2 100644 --- a/catalog/forecasts/models/model_items/climatology.json +++ b/catalog/forecasts/models/model_items/climatology.json @@ -96,11 +96,7 @@ "properties": { "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, ARIK, BARC, BIGC, BLDE, BLUE, BLWA, COMO, CUPE, FLNT, GUIL, HOPB, KING, LECO, LEWI, MART, MAYF, MCDI, MCRA, POSE, PRIN, REDB, SUGG, SYCA, TECR, TOMB, WALK, WLOU, DEJU, HEAL, TOOL, BARR, BONA, CARI\n\nVariables: Daily Green_chromatic_coordinate, Daily Dissolved_oxygen, 30min latent_heat_flux, Daily latent_heat_flux, 30min Net_ecosystem_exchange, Daily Net_ecosystem_exchange, Daily Chlorophyll_a, 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, ARIK, BARC, BIGC, BLDE, BLUE, BLWA, COMO, CUPE, FLNT, GUIL, HOPB, KING, LECO, LEWI, MART, MAYF, MCDI, MCRA, POSE, PRIN, REDB, SUGG, SYCA, TECR, TOMB, WALK, WLOU, DEJU, HEAL, TOOL, BARR, BONA, CARI\n\nVariables: Daily Green_chromatic_coordinate, Daily Dissolved_oxygen, 30min latent_heat_flux, Daily latent_heat_flux, 30min Net_ecosystem_exchange, Daily Net_ecosystem_exchange, Daily Chlorophyll_a, Daily Water_temperature, Daily Red_chromatic_coordinate"], "start_datetime": "2023-11-14", -<<<<<<< HEAD "end_datetime": "2024-01-11", -======= - "end_datetime": "2024-01-10", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/forecasts/models/model_items/fARIMA.json b/catalog/forecasts/models/model_items/fARIMA.json index 54a3a3b0c2..00491c7d8f 100644 --- a/catalog/forecasts/models/model_items/fARIMA.json +++ b/catalog/forecasts/models/model_items/fARIMA.json @@ -55,11 +55,7 @@ "properties": { "description": "\nmodel info: NA\n\nSites: BLWA, CARI, COMO, CRAM, CUPE, FLNT, GUIL, HOPB, KING, LECO, LEWI, LIRO, MART, MAYF, MCDI, MCRA, OKSR, POSE, PRIN, PRLA, PRPO, REDB, SUGG, SYCA, TECR, TOMB, TOOK, WALK, WLOU, ARIK, BARC, BIGC, BLDE, BLUE\n\nVariables: Daily Water_temperature", "start_datetime": "2023-11-10", -<<<<<<< HEAD "end_datetime": "2024-01-08", -======= - "end_datetime": "2024-01-07", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/forecasts/models/model_items/fARIMA_clim_ensemble.json b/catalog/forecasts/models/model_items/fARIMA_clim_ensemble.json index 2bb03765d6..a20533ca8a 100644 --- a/catalog/forecasts/models/model_items/fARIMA_clim_ensemble.json +++ b/catalog/forecasts/models/model_items/fARIMA_clim_ensemble.json @@ -47,11 +47,7 @@ "properties": { "description": "\nmodel info: NA\n\nSites: LECO, LEWI, MART, MAYF, MCDI, MCRA, KING, POSE, REDB, COMO, CRAM, CUPE, FLNT, GUIL, HOPB, PRIN, SUGG, SYCA, ARIK, BARC, BLDE, BLUE, BLWA, WALK, WLOU, TOMB\n\nVariables: Daily Water_temperature", "start_datetime": "2023-11-10", -<<<<<<< HEAD "end_datetime": "2024-01-04", -======= - "end_datetime": "2024-01-03", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/forecasts/models/model_items/fTSLM_lag.json b/catalog/forecasts/models/model_items/fTSLM_lag.json index e5c8be554e..81d7ff3974 100644 --- a/catalog/forecasts/models/model_items/fTSLM_lag.json +++ b/catalog/forecasts/models/model_items/fTSLM_lag.json @@ -55,11 +55,7 @@ "properties": { "description": "\nmodel info: NA\n\nSites: PRLA, PRPO, REDB, SUGG, SYCA, TECR, TOMB, TOOK, WALK, WLOU, ARIK, BARC, BIGC, BLDE, BLUE, BLWA, CARI, COMO, CRAM, CUPE, FLNT, GUIL, HOPB, KING, LECO, LEWI, LIRO, MART, MAYF, MCDI, MCRA, OKSR, POSE, PRIN\n\nVariables: Daily Water_temperature", "start_datetime": "2023-11-10", -<<<<<<< HEAD "end_datetime": "2024-01-08", -======= - "end_datetime": "2024-01-07", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/forecasts/models/model_items/flareGLM.json b/catalog/forecasts/models/model_items/flareGLM.json index 289856b3d2..10b2e01c31 100644 --- a/catalog/forecasts/models/model_items/flareGLM.json +++ b/catalog/forecasts/models/model_items/flareGLM.json @@ -28,11 +28,7 @@ "properties": { "description": "\nmodel info: NA\n\nSites: BARC, CRAM, LIRO, PRLA, PRPO, SUGG, TOOK\n\nVariables: Daily Water_temperature", "start_datetime": "2023-11-15", -<<<<<<< HEAD "end_datetime": "2024-01-05", -======= - "end_datetime": "2024-01-04", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/forecasts/models/model_items/flareGLM_noDA.json b/catalog/forecasts/models/model_items/flareGLM_noDA.json index 9e6c85c77d..ebb6a84084 100644 --- a/catalog/forecasts/models/model_items/flareGLM_noDA.json +++ b/catalog/forecasts/models/model_items/flareGLM_noDA.json @@ -28,11 +28,7 @@ "properties": { "description": "\nmodel info: NA\n\nSites: PRPO, SUGG, TOOK, BARC, CRAM, LIRO, PRLA\n\nVariables: Daily Water_temperature", "start_datetime": "2023-11-15", -<<<<<<< HEAD "end_datetime": "2024-01-05", -======= - "end_datetime": "2024-01-04", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/forecasts/models/model_items/flareGOTM.json b/catalog/forecasts/models/model_items/flareGOTM.json index 2d8e42529e..6e7db6e12d 100644 --- a/catalog/forecasts/models/model_items/flareGOTM.json +++ b/catalog/forecasts/models/model_items/flareGOTM.json @@ -27,11 +27,7 @@ "properties": { "description": "\nmodel info: NA\n\nSites: BARC, CRAM, LIRO, PRLA, PRPO, SUGG\n\nVariables: Daily Water_temperature", "start_datetime": "2023-11-15", -<<<<<<< HEAD "end_datetime": "2024-01-05", -======= - "end_datetime": "2024-01-04", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/forecasts/models/model_items/flareGOTM_noDA.json b/catalog/forecasts/models/model_items/flareGOTM_noDA.json index e82ff3a80a..701bd70946 100644 --- a/catalog/forecasts/models/model_items/flareGOTM_noDA.json +++ b/catalog/forecasts/models/model_items/flareGOTM_noDA.json @@ -27,11 +27,7 @@ "properties": { "description": "\nmodel info: NA\n\nSites: PRPO, SUGG, BARC, CRAM, LIRO, PRLA\n\nVariables: Daily Water_temperature", "start_datetime": "2023-11-15", -<<<<<<< HEAD "end_datetime": "2024-01-05", -======= - "end_datetime": "2024-01-04", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/forecasts/models/model_items/flareSimstrat.json b/catalog/forecasts/models/model_items/flareSimstrat.json index e019a20808..c7fe72229c 100644 --- a/catalog/forecasts/models/model_items/flareSimstrat.json +++ b/catalog/forecasts/models/model_items/flareSimstrat.json @@ -27,11 +27,7 @@ "properties": { "description": "\nmodel info: NA\n\nSites: BARC, CRAM, LIRO, PRLA, PRPO, SUGG\n\nVariables: Daily Water_temperature", "start_datetime": "2023-11-15", -<<<<<<< HEAD "end_datetime": "2024-01-05", -======= - "end_datetime": "2024-01-04", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/forecasts/models/model_items/flareSimstrat_noDA.json b/catalog/forecasts/models/model_items/flareSimstrat_noDA.json index 43f33eef38..d9bc96ff64 100644 --- a/catalog/forecasts/models/model_items/flareSimstrat_noDA.json +++ b/catalog/forecasts/models/model_items/flareSimstrat_noDA.json @@ -26,11 +26,7 @@ "properties": { "description": "\nmodel info: NA\n\nSites: SUGG, BARC, CRAM, PRLA, PRPO\n\nVariables: Daily Water_temperature", "start_datetime": "2023-11-15", -<<<<<<< HEAD "end_datetime": "2024-01-05", -======= - "end_datetime": "2024-01-04", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/forecasts/models/model_items/flare_ler.json b/catalog/forecasts/models/model_items/flare_ler.json index e39e126038..8b587844b9 100644 --- a/catalog/forecasts/models/model_items/flare_ler.json +++ b/catalog/forecasts/models/model_items/flare_ler.json @@ -27,11 +27,7 @@ "properties": { "description": "\nmodel info: NA\n\nSites: BARC, CRAM, LIRO, PRLA, PRPO, SUGG\n\nVariables: Daily Water_temperature", "start_datetime": "2023-11-14", -<<<<<<< HEAD "end_datetime": "2024-01-04", -======= - "end_datetime": "2024-01-03", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/forecasts/models/model_items/flare_ler_baselines.json b/catalog/forecasts/models/model_items/flare_ler_baselines.json index 8c2f6dc206..4d9a31ffbf 100644 --- a/catalog/forecasts/models/model_items/flare_ler_baselines.json +++ b/catalog/forecasts/models/model_items/flare_ler_baselines.json @@ -23,11 +23,7 @@ "properties": { "description": "\nmodel info: NA\n\nSites: BARC, SUGG\n\nVariables: Daily Water_temperature", "start_datetime": "2023-11-14", -<<<<<<< HEAD "end_datetime": "2024-01-04", -======= - "end_datetime": "2024-01-03", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/forecasts/models/model_items/lasso.json b/catalog/forecasts/models/model_items/lasso.json index e18874c929..477ba47a14 100644 --- a/catalog/forecasts/models/model_items/lasso.json +++ b/catalog/forecasts/models/model_items/lasso.json @@ -68,11 +68,7 @@ "properties": { "description": [], "start_datetime": "2023-11-14", -<<<<<<< HEAD "end_datetime": "2024-01-08", -======= - "end_datetime": "2024-01-07", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/forecasts/models/model_items/persistenceRW.json b/catalog/forecasts/models/model_items/persistenceRW.json index e77932f98d..53822c05dd 100644 --- a/catalog/forecasts/models/model_items/persistenceRW.json +++ b/catalog/forecasts/models/model_items/persistenceRW.json @@ -102,11 +102,7 @@ "properties": { "description": ["\nmodel info: Random walk from the fable package with ensembles used to represent uncertainty\n\nSites: SJER, SOAP, SRER, STEI, STER, TALL, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, JERC, JORN, KONA, KONZ, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, DELA, DSNY, GRSM, GUAN, HARV, HEAL, PRIN, PRLA, PRPO, REDB, SUGG, ABBY, WOOD, WREF, YELL, LIRO, TOMB, TOOK, BARR, BART, BLAN, BONA, SCBI, SERC, UNDE, MCDI, MCRA, OKSR, POSE, TOOL, TREE, UKFS, CUPE, FLNT, GUIL, HOPB, KING, TECR, WALK, LECO, LEWI, MART, MAYF, SYCA, WLOU, BLWA, CARI, COMO, CRAM, BLUE, CLBJ, CPER, DCFS, DEJU, TEAK, ARIK, BARC, BIGC, BLDE\n\nVariables: Daily Net_ecosystem_exchange, Daily Red_chromatic_coordinate, Daily Green_chromatic_coordinate, Daily Dissolved_oxygen, Daily Chlorophyll_a, Daily Water_temperature", "\nmodel info: NA\n\nSites: SJER, SOAP, SRER, STEI, STER, TALL, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, JERC, JORN, KONA, KONZ, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, DELA, DSNY, GRSM, GUAN, HARV, HEAL, PRIN, PRLA, PRPO, REDB, SUGG, ABBY, WOOD, WREF, YELL, LIRO, TOMB, TOOK, BARR, BART, BLAN, BONA, SCBI, SERC, UNDE, MCDI, MCRA, OKSR, POSE, TOOL, TREE, UKFS, CUPE, FLNT, GUIL, HOPB, KING, TECR, WALK, LECO, LEWI, MART, MAYF, SYCA, WLOU, BLWA, CARI, COMO, CRAM, BLUE, CLBJ, CPER, DCFS, DEJU, TEAK, ARIK, BARC, BIGC, BLDE\n\nVariables: Daily Net_ecosystem_exchange, Daily Red_chromatic_coordinate, Daily Green_chromatic_coordinate, Daily Dissolved_oxygen, Daily Chlorophyll_a, Daily Water_temperature"], "start_datetime": "2023-11-15", -<<<<<<< HEAD "end_datetime": "2024-01-09", -======= - "end_datetime": "2024-01-08", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/forecasts/models/model_items/procBlanchardMonod.json b/catalog/forecasts/models/model_items/procBlanchardMonod.json index 81b60f98a4..6bf8d3c672 100644 --- a/catalog/forecasts/models/model_items/procBlanchardMonod.json +++ b/catalog/forecasts/models/model_items/procBlanchardMonod.json @@ -28,11 +28,7 @@ "properties": { "description": "\nmodel info: NA\n\nSites: BARC, CRAM, LIRO, PRLA, PRPO, SUGG, TOOK\n\nVariables: Daily Chlorophyll_a", "start_datetime": "2023-11-13", -<<<<<<< HEAD "end_datetime": "2024-01-04", -======= - "end_datetime": "2024-01-03", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/forecasts/models/model_items/procBlanchardSteele.json b/catalog/forecasts/models/model_items/procBlanchardSteele.json index f1187eecfb..1cd417ab50 100644 --- a/catalog/forecasts/models/model_items/procBlanchardSteele.json +++ b/catalog/forecasts/models/model_items/procBlanchardSteele.json @@ -28,11 +28,7 @@ "properties": { "description": [], "start_datetime": "2023-11-13", -<<<<<<< HEAD "end_datetime": "2024-01-04", -======= - "end_datetime": "2024-01-03", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/forecasts/models/model_items/procCTMIMonod.json b/catalog/forecasts/models/model_items/procCTMIMonod.json index 1c404a1734..a76928828a 100644 --- a/catalog/forecasts/models/model_items/procCTMIMonod.json +++ b/catalog/forecasts/models/model_items/procCTMIMonod.json @@ -28,11 +28,7 @@ "properties": { "description": "\nmodel info: NA\n\nSites: BARC, CRAM, LIRO, PRLA, PRPO, SUGG, TOOK\n\nVariables: Daily Chlorophyll_a", "start_datetime": "2023-11-13", -<<<<<<< HEAD "end_datetime": "2024-01-04", -======= - "end_datetime": "2024-01-03", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/forecasts/models/model_items/procCTMISteele.json b/catalog/forecasts/models/model_items/procCTMISteele.json index 362f70fd82..221a977576 100644 --- a/catalog/forecasts/models/model_items/procCTMISteele.json +++ b/catalog/forecasts/models/model_items/procCTMISteele.json @@ -28,11 +28,7 @@ "properties": { "description": [], "start_datetime": "2023-11-13", -<<<<<<< HEAD "end_datetime": "2024-01-04", -======= - "end_datetime": "2024-01-03", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/forecasts/models/model_items/procEppleyNorbergMonod.json b/catalog/forecasts/models/model_items/procEppleyNorbergMonod.json index 3ae798efb9..a5a3acec7b 100644 --- a/catalog/forecasts/models/model_items/procEppleyNorbergMonod.json +++ b/catalog/forecasts/models/model_items/procEppleyNorbergMonod.json @@ -28,11 +28,7 @@ "properties": { "description": "\nmodel info: NA\n\nSites: BARC, CRAM, LIRO, PRLA, PRPO, SUGG, TOOK\n\nVariables: Daily Chlorophyll_a", "start_datetime": "2023-11-13", -<<<<<<< HEAD "end_datetime": "2024-01-04", -======= - "end_datetime": "2024-01-03", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/forecasts/models/model_items/procEppleyNorbergSteele.json b/catalog/forecasts/models/model_items/procEppleyNorbergSteele.json index 76eea6fe14..9bfe48822a 100644 --- a/catalog/forecasts/models/model_items/procEppleyNorbergSteele.json +++ b/catalog/forecasts/models/model_items/procEppleyNorbergSteele.json @@ -28,11 +28,7 @@ "properties": { "description": "\nmodel info: NA\n\nSites: BARC, CRAM, LIRO, PRLA, PRPO, SUGG, TOOK\n\nVariables: Daily Chlorophyll_a", "start_datetime": "2023-11-13", -<<<<<<< HEAD "end_datetime": "2024-01-04", -======= - "end_datetime": "2024-01-03", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/forecasts/models/model_items/procHinshelwoodMonod.json b/catalog/forecasts/models/model_items/procHinshelwoodMonod.json index b847b8e00d..6155c9c977 100644 --- a/catalog/forecasts/models/model_items/procHinshelwoodMonod.json +++ b/catalog/forecasts/models/model_items/procHinshelwoodMonod.json @@ -28,11 +28,7 @@ "properties": { "description": "\nmodel info: NA\n\nSites: BARC, CRAM, LIRO, PRLA, PRPO, SUGG, TOOK\n\nVariables: Daily Chlorophyll_a", "start_datetime": "2023-11-13", -<<<<<<< HEAD "end_datetime": "2024-01-04", -======= - "end_datetime": "2024-01-03", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/forecasts/models/model_items/procHinshelwoodSteele.json b/catalog/forecasts/models/model_items/procHinshelwoodSteele.json index 3ac30a7068..0c877d04be 100644 --- a/catalog/forecasts/models/model_items/procHinshelwoodSteele.json +++ b/catalog/forecasts/models/model_items/procHinshelwoodSteele.json @@ -28,11 +28,7 @@ "properties": { "description": "\nmodel info: NA\n\nSites: BARC, CRAM, LIRO, PRLA, PRPO, SUGG, TOOK\n\nVariables: Daily Chlorophyll_a", "start_datetime": "2023-11-13", -<<<<<<< HEAD "end_datetime": "2024-01-04", -======= - "end_datetime": "2024-01-03", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/forecasts/models/model_items/prophet_clim_ensemble.json b/catalog/forecasts/models/model_items/prophet_clim_ensemble.json index 02f7c12ebe..a15966ac60 100644 --- a/catalog/forecasts/models/model_items/prophet_clim_ensemble.json +++ b/catalog/forecasts/models/model_items/prophet_clim_ensemble.json @@ -63,11 +63,7 @@ "properties": { "description": [], "start_datetime": "2023-11-13", -<<<<<<< HEAD "end_datetime": "2024-01-04", -======= - "end_datetime": "2024-01-03", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/forecasts/models/model_items/randfor.json b/catalog/forecasts/models/model_items/randfor.json index ea289f83af..a37096064a 100644 --- a/catalog/forecasts/models/model_items/randfor.json +++ b/catalog/forecasts/models/model_items/randfor.json @@ -68,11 +68,7 @@ "properties": { "description": [], "start_datetime": "2023-11-14", -<<<<<<< HEAD "end_datetime": "2024-01-08", -======= - "end_datetime": "2024-01-07", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/forecasts/models/model_items/tg_bag_mlp.json b/catalog/forecasts/models/model_items/tg_bag_mlp.json index 95effe38eb..1e659d2d43 100644 --- a/catalog/forecasts/models/model_items/tg_bag_mlp.json +++ b/catalog/forecasts/models/model_items/tg_bag_mlp.json @@ -102,11 +102,7 @@ "properties": { "description": [], "start_datetime": "2023-11-14", -<<<<<<< HEAD "end_datetime": "2024-01-08", -======= - "end_datetime": "2024-01-07", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/forecasts/models/model_items/tg_humidity_lm.json b/catalog/forecasts/models/model_items/tg_humidity_lm.json index ea7590a803..6a7044e60e 100644 --- a/catalog/forecasts/models/model_items/tg_humidity_lm.json +++ b/catalog/forecasts/models/model_items/tg_humidity_lm.json @@ -102,11 +102,7 @@ "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, 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 Net_ecosystem_exchange, Daily Green_chromatic_coordinate, Daily latent_heat_flux, Daily Chlorophyll_a, Daily Red_chromatic_coordinate, Daily Dissolved_oxygen, Daily Water_temperature, Weekly beetle_community_abundance, Weekly beetle_community_richness, Weekly Amblyomma_americanum_population", "start_datetime": "2023-11-14", -<<<<<<< HEAD "end_datetime": "2024-01-09", -======= - "end_datetime": "2024-01-08", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", 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 8260be4934..a296ba2bdc 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 @@ -102,11 +102,7 @@ "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, OKSR, POSE, PRIN, REDB, SYCA, TECR, WALK, WLOU, ARIK, BIGC, BLDE, BLUE, CARI, COMO, CUPE, GUIL, HOPB, KING, LECO, LEWI, MART, MAYF, MCDI, MCRA\n\nVariables: Daily Red_chromatic_coordinate, Daily Net_ecosystem_exchange, Daily Green_chromatic_coordinate, Daily latent_heat_flux, Daily Chlorophyll_a, Daily Water_temperature, Daily Dissolved_oxygen, Weekly beetle_community_abundance, Weekly beetle_community_richness, Weekly Amblyomma_americanum_population", "start_datetime": "2023-11-14", -<<<<<<< HEAD "end_datetime": "2024-01-09", -======= - "end_datetime": "2024-01-08", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/forecasts/models/model_items/tg_lasso.json b/catalog/forecasts/models/model_items/tg_lasso.json index 50383e1c0b..48384f7b0f 100644 --- a/catalog/forecasts/models/model_items/tg_lasso.json +++ b/catalog/forecasts/models/model_items/tg_lasso.json @@ -102,11 +102,7 @@ "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, ARIK, BARC, BIGC, BLDE, BLUE, BLWA, CARI, COMO, CRAM, CUPE, FLNT, GUIL, HOPB, KING, LECO, LEWI, LIRO, MART, MAYF, MCDI, MCRA, OKSR, POSE, PRIN, PRLA, PRPO, REDB, SUGG, SYCA, TECR, TOOK, WALK, WLOU, TOMB\n\nVariables: Daily Green_chromatic_coordinate, Daily Red_chromatic_coordinate, Daily Dissolved_oxygen, Daily Water_temperature, Daily Chlorophyll_a, Weekly beetle_community_abundance, Weekly beetle_community_richness, Weekly Amblyomma_americanum_population", "start_datetime": "2023-11-14", -<<<<<<< HEAD "end_datetime": "2024-01-09", -======= - "end_datetime": "2024-01-08", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", 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 bcb906f081..38a26bfaa3 100644 --- a/catalog/forecasts/models/model_items/tg_lasso_all_sites.json +++ b/catalog/forecasts/models/model_items/tg_lasso_all_sites.json @@ -102,11 +102,7 @@ "properties": { "description": [], "start_datetime": "2023-11-14", -<<<<<<< HEAD "end_datetime": "2024-01-08", -======= - "end_datetime": "2024-01-07", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/forecasts/models/model_items/tg_precip_lm.json b/catalog/forecasts/models/model_items/tg_precip_lm.json index 66a9a78719..116ffe2f68 100644 --- a/catalog/forecasts/models/model_items/tg_precip_lm.json +++ b/catalog/forecasts/models/model_items/tg_precip_lm.json @@ -102,11 +102,7 @@ "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, SYCA, TECR, TOMB, TOOK, WALK, WLOU, ARIK, BARC, BIGC, BLDE, BLUE, BLWA, CARI, COMO, CRAM, CUPE, FLNT, GUIL, HOPB, KING, LECO, LEWI, LIRO, MART, MAYF, MCDI, MCRA, OKSR, POSE, PRIN, PRLA, PRPO, REDB, SUGG\n\nVariables: Daily Green_chromatic_coordinate, Daily latent_heat_flux, Daily Red_chromatic_coordinate, Daily Net_ecosystem_exchange, Daily Dissolved_oxygen, Daily Water_temperature, Daily Chlorophyll_a, Weekly beetle_community_abundance, Weekly beetle_community_richness, Weekly Amblyomma_americanum_population", "start_datetime": "2023-11-14", -<<<<<<< HEAD "end_datetime": "2024-01-09", -======= - "end_datetime": "2024-01-08", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", 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 1c5f065305..e99785f6a3 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 @@ -102,11 +102,7 @@ "properties": { "description": "\nmodel info: NA\n\nSites: TOMB, TOOK, WALK, WLOU, ARIK, BARC, BIGC, BLDE, BLUE, BLWA, CARI, COMO, CRAM, CUPE, FLNT, GUIL, HOPB, KING, LECO, LEWI, LIRO, MART, MAYF, MCDI, MCRA, OKSR, POSE, PRIN, PRLA, PRPO, REDB, SUGG, SYCA, TECR, 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, DEJU, DELA, DSNY, GRSM\n\nVariables: Daily Dissolved_oxygen, Daily Red_chromatic_coordinate, Daily Net_ecosystem_exchange, Daily latent_heat_flux, Daily Chlorophyll_a, Daily Green_chromatic_coordinate, Daily Water_temperature, Weekly beetle_community_abundance, Weekly beetle_community_richness, Weekly Amblyomma_americanum_population", "start_datetime": "2023-11-14", -<<<<<<< HEAD "end_datetime": "2024-01-09", -======= - "end_datetime": "2024-01-08", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/forecasts/models/model_items/tg_randfor.json b/catalog/forecasts/models/model_items/tg_randfor.json index bb9bff6682..d45e26e5df 100644 --- a/catalog/forecasts/models/model_items/tg_randfor.json +++ b/catalog/forecasts/models/model_items/tg_randfor.json @@ -102,11 +102,7 @@ "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, ARIK, BARC, BIGC, BLDE, BLUE, BLWA, CARI, COMO, CRAM, CUPE, FLNT, GUIL, HOPB, KING, LECO, LEWI, LIRO, MART, MAYF, MCDI, MCRA, OKSR, POSE, PRIN, PRLA, PRPO, REDB, SUGG, SYCA, TECR, ABBY, BARR, BART, BLAN, BONA, CLBJ, CPER, DCFS, DEJU, DELA, DSNY, GRSM, GUAN, HARV, HEAL, JERC, TOOK, WALK, WLOU, TOMB\n\nVariables: Daily latent_heat_flux, Daily Dissolved_oxygen, Daily Green_chromatic_coordinate, Daily Red_chromatic_coordinate, Daily Water_temperature, Daily Net_ecosystem_exchange, Daily Chlorophyll_a, Weekly beetle_community_abundance, Weekly beetle_community_richness, Weekly Amblyomma_americanum_population", "start_datetime": "2023-11-14", -<<<<<<< HEAD "end_datetime": "2024-01-08", -======= - "end_datetime": "2024-01-07", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/forecasts/models/model_items/tg_randfor_all_sites.json b/catalog/forecasts/models/model_items/tg_randfor_all_sites.json index ff1f51f0a1..1ba20db469 100644 --- a/catalog/forecasts/models/model_items/tg_randfor_all_sites.json +++ b/catalog/forecasts/models/model_items/tg_randfor_all_sites.json @@ -102,11 +102,7 @@ "properties": { "description": [], "start_datetime": "2023-11-14", -<<<<<<< HEAD "end_datetime": "2024-01-08", -======= - "end_datetime": "2024-01-07", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/forecasts/models/model_items/tg_temp_lm.json b/catalog/forecasts/models/model_items/tg_temp_lm.json index daf5f11055..05978b4095 100644 --- a/catalog/forecasts/models/model_items/tg_temp_lm.json +++ b/catalog/forecasts/models/model_items/tg_temp_lm.json @@ -102,11 +102,7 @@ "properties": { "description": "\nmodel info: NA\n\nSites: ARIK, BARC, BIGC, BLDE, BLUE, BLWA, CARI, COMO, CRAM, CUPE, FLNT, GUIL, HOPB, KING, LECO, LEWI, LIRO, MART, MAYF, MCDI, MCRA, OKSR, POSE, PRIN, PRLA, PRPO, REDB, SUGG, SYCA, 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, TECR, TOMB, TOOK, WALK, WLOU, SERC, SJER, SOAP, SRER, STEI, STER, TALL, TEAK, TOOL, TREE, UKFS, UNDE, WOOD, WREF, YELL\n\nVariables: Daily Dissolved_oxygen, Daily Green_chromatic_coordinate, Daily Red_chromatic_coordinate, Daily Water_temperature, Daily Chlorophyll_a, Daily latent_heat_flux, Daily Net_ecosystem_exchange, Weekly beetle_community_abundance, Weekly beetle_community_richness, Weekly Amblyomma_americanum_population", "start_datetime": "2023-11-14", -<<<<<<< HEAD "end_datetime": "2024-01-09", -======= - "end_datetime": "2024-01-08", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", 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 3d22bcf3c3..54d3574986 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 @@ -102,11 +102,7 @@ "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, TOOK, WALK, WLOU, ARIK, BARC, BIGC, BLDE, BLUE, BLWA, CARI, COMO, CRAM, CUPE, FLNT, GUIL, HOPB, KING, LECO, LEWI, LIRO, MART, MAYF, MCDI, MCRA, OKSR, POSE, PRIN, PRLA, PRPO, REDB, SUGG, SYCA, TECR, TOMB\n\nVariables: Daily Red_chromatic_coordinate, Daily Dissolved_oxygen, Daily Green_chromatic_coordinate, Daily latent_heat_flux, Daily Chlorophyll_a, Daily Net_ecosystem_exchange, Daily Water_temperature, Weekly beetle_community_abundance, Weekly beetle_community_richness, Weekly Amblyomma_americanum_population", "start_datetime": "2023-11-14", -<<<<<<< HEAD "end_datetime": "2024-01-09", -======= - "end_datetime": "2024-01-08", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/inventory/collection.json b/catalog/inventory/collection.json index 38b305377d..47b236ab72 100644 --- a/catalog/inventory/collection.json +++ b/catalog/inventory/collection.json @@ -137,22 +137,22 @@ ], "assets": { "data": { - "href": "s3://anonymous@bio230014-bucket01/challenges/inventory/catalog/forecasts/project_id=neon4cast?endpoint_override=sdsc.osn.xsede.org", + "href": "\"s3://anonymous@bio230014-bucket01/challenges/inventory/catalog/forecasts/project_id=neon4cast?endpoint_override=sdsc.osn.xsede.org\"", "type": "application/x-parquet", "title": "Forecast Inventory Access", "roles": [ "data" ], - "description": "Use `arrow` for remote access to the database. This R code will return results for the forecast challenge inventory bucket.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/inventory/catalog/forecasts/project_id=neon4cast?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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 forecast challenge inventory bucket.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/inventory/catalog/forecasts/project_id=neon4cast?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, "data.1": { - "href": "s3://anonymous@bio230014-bucket01/challenges/inventory/catalog/scores/project_id=neon4cast?endpoint_override=sdsc.osn.xsede.org", + "href": "\"s3://anonymous@bio230014-bucket01/challenges/inventory/catalog/scores/project_id=neon4cast?endpoint_override=sdsc.osn.xsede.org\"", "type": "application/x-parquet", "title": "Scores Inventory Access", "roles": [ "data" ], - "description": "Use `arrow` for remote access to the database. This R code will return results for the forecast challenge inventory bucket.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/inventory/catalog/scores/project_id=neon4cast?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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 forecast challenge inventory bucket.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/inventory/catalog/scores/project_id=neon4cast?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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_forest.jpg", diff --git a/catalog/noaa_forecasts/Pseudo/collection.json b/catalog/noaa_forecasts/Pseudo/collection.json index 1b3ba8d6fa..c2262436e9 100644 --- a/catalog/noaa_forecasts/Pseudo/collection.json +++ b/catalog/noaa_forecasts/Pseudo/collection.json @@ -122,13 +122,13 @@ ], "assets": { "data": { - "href": "s3://anonymous@drivers/noaa/gefs-v12-reprocess/pseudo/parquet/0?endpoint_override=s3.flare-forecast.org", + "href": "\"s3://anonymous@drivers/noaa/gefs-v12-reprocess/pseudo/parquet/0?endpoint_override=s3.flare-forecast.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@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" }, "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 80614bff7e..f259ca3b82 100644 --- a/catalog/noaa_forecasts/Stage1-stats/collection.json +++ b/catalog/noaa_forecasts/Stage1-stats/collection.json @@ -122,13 +122,13 @@ ], "assets": { "data": { - "href": "s3://anonymous@drivers/noaa/gefs-v12-reprocess/stage1-stats/parquet/0?endpoint_override=s3.flare-forecast.org", + "href": "\"s3://anonymous@drivers/noaa/gefs-v12-reprocess/stage1-stats/parquet/0?endpoint_override=s3.flare-forecast.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@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" }, "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 253ef612ae..cd2cd860d9 100644 --- a/catalog/noaa_forecasts/Stage1/collection.json +++ b/catalog/noaa_forecasts/Stage1/collection.json @@ -122,13 +122,13 @@ ], "assets": { "data": { - "href": "s3://anonymous@drivers/noaa/gefs-v12-reprocess/stage1/parquet/0?endpoint_override=s3.flare-forecast.org", + "href": "\"s3://anonymous@drivers/noaa/gefs-v12-reprocess/stage1/parquet/0?endpoint_override=s3.flare-forecast.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@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" }, "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 cea7ad14b8..b868197956 100644 --- a/catalog/noaa_forecasts/Stage2/collection.json +++ b/catalog/noaa_forecasts/Stage2/collection.json @@ -122,13 +122,13 @@ ], "assets": { "data": { - "href": "s3://anonymous@drivers/noaa/gefs-v12-reprocess/stage2/parquet/0?endpoint_override=s3.flare-forecast.org", + "href": "\"s3://anonymous@drivers/noaa/gefs-v12-reprocess/stage2/parquet/0?endpoint_override=s3.flare-forecast.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@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" }, "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 9e07bf7ad8..1e5b0f2315 100644 --- a/catalog/noaa_forecasts/Stage3/collection.json +++ b/catalog/noaa_forecasts/Stage3/collection.json @@ -122,13 +122,13 @@ ], "assets": { "data": { - "href": "s3://anonymous@drivers/noaa/gefs-v12-reprocess/stage3/parquet/0?endpoint_override=s3.flare-forecast.org", + "href": "\"s3://anonymous@drivers/noaa/gefs-v12-reprocess/stage3/parquet/0?endpoint_override=s3.flare-forecast.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@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" }, "thumbnail": { "href": "https://raw.githubusercontent.com/eco4cast/neon4cast-ci/main/catalog/thumbnail_plots/neon_wetland.jpg", diff --git a/catalog/scores/Aquatics/Daily_Chlorophyll_a/collection.json b/catalog/scores/Aquatics/Daily_Chlorophyll_a/collection.json index 65bb86e538..1941258955 100644 --- a/catalog/scores/Aquatics/Daily_Chlorophyll_a/collection.json +++ b/catalog/scores/Aquatics/Daily_Chlorophyll_a/collection.json @@ -15,16 +15,6 @@ "type": "application/json", "href": "../../models/model_items/USGSHABs1.json" }, - { - "rel": "item", - "type": "application/json", - "href": "../../models/model_items/climatology.json" - }, - { - "rel": "item", - "type": "application/json", - "href": "../../models/model_items/persistenceRW.json" - }, { "rel": "item", "type": "application/json", @@ -38,24 +28,11 @@ { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_humidity_lm.json" - }, - { - "rel": "item", - "type": "application/json", - "href": "../../models/model_items/tg_precip_lm_all_sites.json" - }, - { - "rel": "item", - "type": "application/json", -<<<<<<< HEAD "href": "../../models/model_items/tg_tbats.json" }, { "rel": "item", "type": "application/json", -======= ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "href": "../../models/model_items/tg_temp_lm_all_sites.json" }, { @@ -76,24 +53,26 @@ { "rel": "item", "type": "application/json", -<<<<<<< HEAD - "href": "../../models/model_items/procBlanchardSteele.json" + "href": "../../models/model_items/climatology.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/procHinshelwoodSteele.json" + "href": "../../models/model_items/persistenceRW.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/procHinshelwoodMonod.json" + "href": "../../models/model_items/tg_humidity_lm.json" + }, + { + "rel": "item", + "type": "application/json", + "href": "../../models/model_items/tg_precip_lm_all_sites.json" }, { "rel": "item", "type": "application/json", -======= ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "href": "../../models/model_items/tg_precip_lm.json" }, { @@ -114,25 +93,17 @@ { "rel": "item", "type": "application/json", -<<<<<<< HEAD - "href": "../../models/model_items/procCTMIMonod.json" -======= "href": "../../models/model_items/procHinshelwoodMonod.json" ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 }, { "rel": "item", "type": "application/json", -<<<<<<< HEAD - "href": "../../models/model_items/tg_randfor.json" -======= "href": "../../models/model_items/procBlanchardSteele.json" }, { "rel": "item", "type": "application/json", "href": "../../models/model_items/procHinshelwoodSteele.json" ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 }, { "rel": "item", @@ -144,6 +115,16 @@ "type": "application/json", "href": "../../models/model_items/tg_lasso.json" }, + { + "rel": "item", + "type": "application/json", + "href": "../../models/model_items/tg_randfor.json" + }, + { + "rel": "item", + "type": "application/json", + "href": "../../models/model_items/procCTMIMonod.json" + }, { "rel": "item", "type": "application/json", @@ -202,11 +183,7 @@ "interval": [ [ "2023-01-01T00:00:00Z", -<<<<<<< HEAD "2024-01-10T00:00:00Z" -======= - "2024-01-09T00:00:00Z" ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 ] ] } @@ -315,13 +292,13 @@ ], "assets": { "data": { - "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/project_id=neon4cast/duration=P1D/variable=chla?endpoint_override=sdsc.osn.xsede.org", + "href": "\"s3://anonymous@bio230014-bucket01/challenges/scores/parquet/project_id=neon4cast/duration=P1D/variable=chla?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 forecasts of the variable by the specific model .\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/project_id=neon4cast/duration=P1D/variable=chla?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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 forecasts of the variable by the specific model .\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/scores/parquet/project_id=neon4cast/duration=P1D/variable=chla?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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": "pending", diff --git a/catalog/scores/Aquatics/Daily_Dissolved_oxygen/collection.json b/catalog/scores/Aquatics/Daily_Dissolved_oxygen/collection.json index e03af78575..27f2a941b1 100644 --- a/catalog/scores/Aquatics/Daily_Dissolved_oxygen/collection.json +++ b/catalog/scores/Aquatics/Daily_Dissolved_oxygen/collection.json @@ -13,24 +13,6 @@ { "rel": "item", "type": "application/json", -<<<<<<< HEAD - "href": "../../models/model_items/climatology.json" - }, - { - "rel": "item", - "type": "application/json", - "href": "../../models/model_items/persistenceRW.json" - }, - { - "rel": "item", - "type": "application/json", - "href": "../../models/model_items/tg_arima.json" - }, - { - "rel": "item", - "type": "application/json", -======= ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "href": "../../models/model_items/tg_ets.json" }, { @@ -41,7 +23,7 @@ { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_randfor.json" + "href": "../../models/model_items/tg_precip_lm_all_sites.json" }, { "rel": "item", @@ -81,8 +63,6 @@ { "rel": "item", "type": "application/json", -<<<<<<< HEAD -======= "href": "../../models/model_items/climatology.json" }, { @@ -108,18 +88,17 @@ { "rel": "item", "type": "application/json", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 - "href": "../../models/model_items/GLEON_lm_lag_1day.json" + "href": "../../models/model_items/tg_humidity_lm.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/null.json" + "href": "../../models/model_items/GLEON_lm_lag_1day.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_humidity_lm.json" + "href": "../../models/model_items/null.json" }, { "rel": "item", @@ -131,26 +110,6 @@ "type": "application/json", "href": "../../models/model_items/tg_precip_lm.json" }, - { - "rel": "item", - "type": "application/json", - "href": "../../models/model_items/tg_precip_lm_all_sites.json" - }, - { - "rel": "item", - "type": "application/json", - "href": "../../models/model_items/air2waterSat_2.json" - }, - { - "rel": "item", - "type": "application/json", - "href": "../../models/model_items/cb_prophet.json" - }, - { - "rel": "item", - "type": "application/json", - "href": "../../models/model_items/tg_bag_mlp.json" - }, { "rel": "item", "type": "application/json", @@ -204,11 +163,7 @@ "interval": [ [ "2023-01-01T00:00:00Z", -<<<<<<< HEAD "2024-10-30T00:00:00Z" -======= - "2024-10-29T00:00:00Z" ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 ] ] } @@ -317,13 +272,13 @@ ], "assets": { "data": { - "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/project_id=neon4cast/duration=P1D/variable=oxygen?endpoint_override=sdsc.osn.xsede.org", + "href": "\"s3://anonymous@bio230014-bucket01/challenges/scores/parquet/project_id=neon4cast/duration=P1D/variable=oxygen?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 forecasts of the variable by the specific model .\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/project_id=neon4cast/duration=P1D/variable=oxygen?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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 forecasts of the variable by the specific model .\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/scores/parquet/project_id=neon4cast/duration=P1D/variable=oxygen?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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": "pending", diff --git a/catalog/scores/Aquatics/Daily_Water_temperature/collection.json b/catalog/scores/Aquatics/Daily_Water_temperature/collection.json index 3f2eb11b3c..8be7252fb9 100644 --- a/catalog/scores/Aquatics/Daily_Water_temperature/collection.json +++ b/catalog/scores/Aquatics/Daily_Water_temperature/collection.json @@ -58,27 +58,27 @@ { "rel": "item", "type": "application/json", - "href": "../../models/model_items/air2waterSat_2.json" + "href": "../../models/model_items/fARIMA_clim_ensemble.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/fARIMA.json" + "href": "../../models/model_items/flareGLM_noDA.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/fARIMA_clim_ensemble.json" + "href": "../../models/model_items/air2waterSat_2.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/fTSLM_lag.json" + "href": "../../models/model_items/fARIMA.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/flareGLM_noDA.json" + "href": "../../models/model_items/fTSLM_lag.json" }, { "rel": "item", @@ -103,24 +103,11 @@ { "rel": "item", "type": "application/json", -<<<<<<< HEAD -======= "href": "../../models/model_items/tg_precip_lm.json" }, { "rel": "item", "type": "application/json", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 - "href": "../../models/model_items/cb_f1.json" - }, - { - "rel": "item", - "type": "application/json", - "href": "../../models/model_items/climatology.json" - }, - { - "rel": "item", - "type": "application/json", "href": "../../models/model_items/tg_bag_mlp.json" }, { @@ -131,15 +118,12 @@ { "rel": "item", "type": "application/json", -<<<<<<< HEAD - "href": "../../models/model_items/tg_precip_lm.json" + "href": "../../models/model_items/tg_lasso.json" }, { "rel": "item", "type": "application/json", -======= ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 - "href": "../../models/model_items/tg_randfor_all_sites.json" + "href": "../../models/model_items/tg_precip_lm_all_sites.json" }, { "rel": "item", @@ -149,66 +133,52 @@ { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_temp_lm_all_sites.json" - }, - { - "rel": "item", - "type": "application/json", -<<<<<<< HEAD -======= - "href": "../../models/model_items/tg_lasso.json" + "href": "../../models/model_items/flareSimstrat_noDA.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_precip_lm_all_sites.json" + "href": "../../models/model_items/flare_ler_baselines.json" }, { "rel": "item", "type": "application/json", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 - "href": "../../models/model_items/flareSimstrat_noDA.json" + "href": "../../models/model_items/cb_prophet.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/flare_ler_baselines.json" + "href": "../../models/model_items/cb_f1.json" }, { "rel": "item", "type": "application/json", -<<<<<<< HEAD - "href": "../../models/model_items/tg_precip_lm_all_sites.json" + "href": "../../models/model_items/climatology.json" }, { "rel": "item", "type": "application/json", -======= ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 - "href": "../../models/model_items/cb_prophet.json" + "href": "../../models/model_items/tg_randfor_all_sites.json" }, { "rel": "item", "type": "application/json", -<<<<<<< HEAD - "href": "../../models/model_items/tg_lasso.json" + "href": "../../models/model_items/tg_temp_lm_all_sites.json" }, { "rel": "item", "type": "application/json", -======= ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "href": "../../models/model_items/null.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/GLEON_physics.json" + "href": "../../models/model_items/GLEON_lm_lag_1day.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/GLEON_lm_lag_1day.json" + "href": "../../models/model_items/GLEON_physics.json" }, { "rel": "item", @@ -263,11 +233,7 @@ "interval": [ [ "2023-01-01T00:00:00Z", -<<<<<<< HEAD "2024-10-30T00:00:00Z" -======= - "2024-10-29T00:00:00Z" ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 ] ] } @@ -376,13 +342,13 @@ ], "assets": { "data": { - "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/project_id=neon4cast/duration=P1D/variable=temperature?endpoint_override=sdsc.osn.xsede.org", + "href": "\"s3://anonymous@bio230014-bucket01/challenges/scores/parquet/project_id=neon4cast/duration=P1D/variable=temperature?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 forecasts of the variable by the specific model .\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/project_id=neon4cast/duration=P1D/variable=temperature?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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 forecasts of the variable by the specific model .\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/scores/parquet/project_id=neon4cast/duration=P1D/variable=temperature?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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": "pending", diff --git a/catalog/scores/Aquatics/collection.json b/catalog/scores/Aquatics/collection.json index 9f94a656ea..83dace4394 100644 --- a/catalog/scores/Aquatics/collection.json +++ b/catalog/scores/Aquatics/collection.json @@ -177,13 +177,13 @@ ], "assets": { "data": { - "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/?endpoint_override=sdsc.osn.xsede.org", + "href": "\"s3://anonymous@bio230014-bucket01/challenges/scores/parquet/?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 NEON Ecological Forecasting Aquatics theme.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |>\n dplyr::filter(variable %in% c(\"oxygen\", \"temperature\", \"chla\")) |>\n dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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 NEON Ecological Forecasting Aquatics theme.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/scores/parquet/?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |>\n dplyr::filter(variable %in% c(\"oxygen\", \"temperature\", \"chla\")) |>\n dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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://projects.ecoforecast.org/neon4cast-catalog/img/neon_buoy.jpg", diff --git a/catalog/scores/Beetles/Weekly_beetle_community_abundance/collection.json b/catalog/scores/Beetles/Weekly_beetle_community_abundance/collection.json index bfe0e95240..de9cb888fa 100644 --- a/catalog/scores/Beetles/Weekly_beetle_community_abundance/collection.json +++ b/catalog/scores/Beetles/Weekly_beetle_community_abundance/collection.json @@ -237,13 +237,13 @@ ], "assets": { "data": { - "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/project_id=neon4cast/duration=P1W/variable=abundance?endpoint_override=sdsc.osn.xsede.org", + "href": "\"s3://anonymous@bio230014-bucket01/challenges/scores/parquet/project_id=neon4cast/duration=P1W/variable=abundance?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 forecasts of the variable by the specific model .\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/project_id=neon4cast/duration=P1W/variable=abundance?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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 forecasts of the variable by the specific model .\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/scores/parquet/project_id=neon4cast/duration=P1W/variable=abundance?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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": "pending", diff --git a/catalog/scores/Beetles/Weekly_beetle_community_richness/collection.json b/catalog/scores/Beetles/Weekly_beetle_community_richness/collection.json index 098c8ea45c..371e013f23 100644 --- a/catalog/scores/Beetles/Weekly_beetle_community_richness/collection.json +++ b/catalog/scores/Beetles/Weekly_beetle_community_richness/collection.json @@ -237,13 +237,13 @@ ], "assets": { "data": { - "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/project_id=neon4cast/duration=P1W/variable=richness?endpoint_override=sdsc.osn.xsede.org", + "href": "\"s3://anonymous@bio230014-bucket01/challenges/scores/parquet/project_id=neon4cast/duration=P1W/variable=richness?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 forecasts of the variable by the specific model .\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/project_id=neon4cast/duration=P1W/variable=richness?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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 forecasts of the variable by the specific model .\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/scores/parquet/project_id=neon4cast/duration=P1W/variable=richness?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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": "pending", diff --git a/catalog/scores/Beetles/collection.json b/catalog/scores/Beetles/collection.json index 1496c2fc38..27379a9406 100644 --- a/catalog/scores/Beetles/collection.json +++ b/catalog/scores/Beetles/collection.json @@ -172,13 +172,13 @@ ], "assets": { "data": { - "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/?endpoint_override=sdsc.osn.xsede.org", + "href": "\"s3://anonymous@bio230014-bucket01/challenges/scores/parquet/?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 NEON Ecological Forecasting Aquatics theme.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |>\n dplyr::filter(variable %in% c(\"abundance\", \"richness\")) |>\n dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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 NEON Ecological Forecasting Aquatics theme.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/scores/parquet/?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |>\n dplyr::filter(variable %in% c(\"abundance\", \"richness\")) |>\n dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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://www.neonscience.org/sites/default/files/styles/max_width_1170px/public/image-content-images/Beetles_pinned.jpg", diff --git a/catalog/scores/Phenology/Daily_Green_chromatic_coordinate/collection.json b/catalog/scores/Phenology/Daily_Green_chromatic_coordinate/collection.json index b25130cc6b..efea1c186b 100644 --- a/catalog/scores/Phenology/Daily_Green_chromatic_coordinate/collection.json +++ b/catalog/scores/Phenology/Daily_Green_chromatic_coordinate/collection.json @@ -13,7 +13,7 @@ { "rel": "item", "type": "application/json", - "href": "../../models/model_items/cb_prophet.json" + "href": "../../models/model_items/climatology.json" }, { "rel": "item", @@ -38,52 +38,52 @@ { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_humidity_lm_all_sites.json" + "href": "../../models/model_items/tg_humidity_lm.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_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_precip_lm.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_temp_lm_all_sites.json" + "href": "../../models/model_items/tg_tbats.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/climatology.json" + "href": "../../models/model_items/tg_precip_lm_all_sites.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_humidity_lm.json" + "href": "../../models/model_items/tg_temp_lm.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_lasso.json" + "href": "../../models/model_items/cb_prophet.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_precip_lm.json" + "href": "../../models/model_items/tg_humidity_lm_all_sites.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_precip_lm_all_sites.json" + "href": "../../models/model_items/tg_randfor.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_temp_lm.json" + "href": "../../models/model_items/tg_temp_lm_all_sites.json" }, { "rel": "item", @@ -138,11 +138,7 @@ "interval": [ [ "2023-01-01T00:00:00Z", -<<<<<<< HEAD "2024-01-10T00:00:00Z" -======= - "2024-01-09T00:00:00Z" ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 ] ] } @@ -251,13 +247,13 @@ ], "assets": { "data": { - "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/project_id=neon4cast/duration=P1D/variable=gcc_90?endpoint_override=sdsc.osn.xsede.org", + "href": "\"s3://anonymous@bio230014-bucket01/challenges/scores/parquet/project_id=neon4cast/duration=P1D/variable=gcc_90?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 forecasts of the variable by the specific model .\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/project_id=neon4cast/duration=P1D/variable=gcc_90?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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 forecasts of the variable by the specific model .\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/scores/parquet/project_id=neon4cast/duration=P1D/variable=gcc_90?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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": "pending", diff --git a/catalog/scores/Phenology/Daily_Red_chromatic_coordinate/collection.json b/catalog/scores/Phenology/Daily_Red_chromatic_coordinate/collection.json index e915c5b404..e2832fb2a8 100644 --- a/catalog/scores/Phenology/Daily_Red_chromatic_coordinate/collection.json +++ b/catalog/scores/Phenology/Daily_Red_chromatic_coordinate/collection.json @@ -10,11 +10,6 @@ ], "type": "Collection", "links": [ - { - "rel": "item", - "type": "application/json", - "href": "../../models/model_items/baseline_ensemble.json" - }, { "rel": "item", "type": "application/json", @@ -33,22 +28,12 @@ { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_tbats.json" - }, - { - "rel": "item", - "type": "application/json", - "href": "../../models/model_items/tg_temp_lm_all_sites.json" - }, - { - "rel": "item", - "type": "application/json", - "href": "../../models/model_items/tg_bag_mlp.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_precip_lm_all_sites.json" }, { "rel": "item", @@ -58,12 +43,12 @@ { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_humidity_lm_all_sites.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_all_sites.json" }, { "rel": "item", @@ -93,20 +78,12 @@ { "rel": "item", "type": "application/json", -<<<<<<< HEAD - "href": "../../models/model_items/prophet_clim_ensemble.json" -======= "href": "../../models/model_items/tg_bag_mlp.json" ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 }, { "rel": "item", "type": "application/json", -<<<<<<< HEAD - "href": "../../models/model_items/tg_lasso_all_sites.json" -======= "href": "../../models/model_items/tg_randfor.json" ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 }, { "rel": "item", @@ -126,14 +103,11 @@ { "rel": "item", "type": "application/json", -<<<<<<< HEAD -======= "href": "../../models/model_items/tg_lasso_all_sites.json" }, { "rel": "item", "type": "application/json", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "href": "../../models/model_items/tg_auto_adam.json" }, { @@ -179,11 +153,7 @@ "interval": [ [ "2023-01-01T00:00:00Z", -<<<<<<< HEAD "2024-01-10T00:00:00Z" -======= - "2024-01-09T00:00:00Z" ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 ] ] } @@ -292,13 +262,13 @@ ], "assets": { "data": { - "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/project_id=neon4cast/duration=P1D/variable=rcc_90?endpoint_override=sdsc.osn.xsede.org", + "href": "\"s3://anonymous@bio230014-bucket01/challenges/scores/parquet/project_id=neon4cast/duration=P1D/variable=rcc_90?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 forecasts of the variable by the specific model .\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/project_id=neon4cast/duration=P1D/variable=rcc_90?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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 forecasts of the variable by the specific model .\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/scores/parquet/project_id=neon4cast/duration=P1D/variable=rcc_90?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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": "pending", diff --git a/catalog/scores/Phenology/collection.json b/catalog/scores/Phenology/collection.json index 04357de8b8..910cea7f79 100644 --- a/catalog/scores/Phenology/collection.json +++ b/catalog/scores/Phenology/collection.json @@ -172,13 +172,13 @@ ], "assets": { "data": { - "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/?endpoint_override=sdsc.osn.xsede.org", + "href": "\"s3://anonymous@bio230014-bucket01/challenges/scores/parquet/?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 NEON Ecological Forecasting Aquatics theme.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |>\n dplyr::filter(variable %in% c(\"gcc_90\", \"rcc_90\")) |>\n dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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 NEON Ecological Forecasting Aquatics theme.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/scores/parquet/?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |>\n dplyr::filter(variable %in% c(\"gcc_90\", \"rcc_90\")) |>\n dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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://www.neonscience.org/sites/default/files/styles/max_1300x1300/public/image-content-images/_BFP8455.jpg", diff --git a/catalog/scores/Terrestrial/30min_latent_heat_flux/collection.json b/catalog/scores/Terrestrial/30min_latent_heat_flux/collection.json index 93f587cb7d..00e12991ff 100644 --- a/catalog/scores/Terrestrial/30min_latent_heat_flux/collection.json +++ b/catalog/scores/Terrestrial/30min_latent_heat_flux/collection.json @@ -58,11 +58,7 @@ "interval": [ [ "2023-11-14T00:00:00Z", -<<<<<<< HEAD "2023-12-16T00:00:00Z" -======= - "2023-12-15T00:00:00Z" ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 ] ] } @@ -171,13 +167,13 @@ ], "assets": { "data": { - "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/project_id=neon4cast/duration=PT30M/variable=le?endpoint_override=sdsc.osn.xsede.org", + "href": "\"s3://anonymous@bio230014-bucket01/challenges/scores/parquet/project_id=neon4cast/duration=PT30M/variable=le?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 forecasts of the variable by the specific model .\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/project_id=neon4cast/duration=PT30M/variable=le?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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 forecasts of the variable by the specific model .\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/scores/parquet/project_id=neon4cast/duration=PT30M/variable=le?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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": "pending", diff --git a/catalog/scores/Terrestrial/Daily_Net_ecosystem_exchange/collection.json b/catalog/scores/Terrestrial/Daily_Net_ecosystem_exchange/collection.json index 5282c44261..0b09c2aeb4 100644 --- a/catalog/scores/Terrestrial/Daily_Net_ecosystem_exchange/collection.json +++ b/catalog/scores/Terrestrial/Daily_Net_ecosystem_exchange/collection.json @@ -10,31 +10,6 @@ ], "type": "Collection", "links": [ - { - "rel": "item", - "type": "application/json", - "href": "../../models/model_items/tg_precip_lm.json" - }, - { - "rel": "item", - "type": "application/json", - "href": "../../models/model_items/tg_randfor.json" - }, - { - "rel": "item", - "type": "application/json", - "href": "../../models/model_items/tg_tbats.json" - }, - { - "rel": "item", - "type": "application/json", - "href": "../../models/model_items/cb_prophet.json" - }, - { - "rel": "item", - "type": "application/json", - "href": "../../models/model_items/tg_arima.json" - }, { "rel": "item", "type": "application/json", @@ -43,7 +18,7 @@ { "rel": "item", "type": "application/json", - "href": "../../models/model_items/randfor.json" + "href": "../../models/model_items/tg_arima.json" }, { "rel": "item", @@ -63,30 +38,18 @@ { "rel": "item", "type": "application/json", -<<<<<<< HEAD - "href": "../../models/model_items/tg_temp_lm_all_sites.json" -======= "href": "../../models/model_items/tg_tbats.json" }, { "rel": "item", "type": "application/json", "href": "../../models/model_items/tg_humidity_lm.json" ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 }, { "rel": "item", "type": "application/json", -<<<<<<< HEAD - "href": "../../models/model_items/climatology.json" -======= "href": "../../models/model_items/tg_precip_lm_all_sites.json" }, - { - "rel": "item", - "type": "application/json", - "href": "../../models/model_items/cb_prophet.json" - }, { "rel": "item", "type": "application/json", @@ -101,7 +64,6 @@ "rel": "item", "type": "application/json", "href": "../../models/model_items/tg_precip_lm.json" ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 }, { "rel": "item", @@ -111,7 +73,7 @@ { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_bag_mlp.json" + "href": "../../models/model_items/cb_prophet.json" }, { "rel": "item", @@ -119,14 +81,16 @@ "href": "../../models/model_items/climatology.json" }, { -<<<<<<< HEAD -======= + "rel": "item", + "type": "application/json", + "href": "../../models/model_items/tg_bag_mlp.json" + }, + { "rel": "item", "type": "application/json", "href": "../../models/model_items/tg_temp_lm.json" }, { ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "rel": "parent", "type": "application/json", "href": "../collection.json" @@ -169,11 +133,7 @@ "interval": [ [ "2023-01-01T00:00:00Z", -<<<<<<< HEAD "2024-01-11T00:00:00Z" -======= - "2024-01-10T00:00:00Z" ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 ] ] } @@ -282,13 +242,13 @@ ], "assets": { "data": { - "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/project_id=neon4cast/duration=P1D/variable=le?endpoint_override=sdsc.osn.xsede.org", + "href": "\"s3://anonymous@bio230014-bucket01/challenges/scores/parquet/project_id=neon4cast/duration=P1D/variable=le?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 forecasts of the variable by the specific model .\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/project_id=neon4cast/duration=P1D/variable=le?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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 forecasts of the variable by the specific model .\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/scores/parquet/project_id=neon4cast/duration=P1D/variable=le?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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": "pending", diff --git a/catalog/scores/Terrestrial/collection.json b/catalog/scores/Terrestrial/collection.json index 4e0c454124..bdb4a3abb1 100644 --- a/catalog/scores/Terrestrial/collection.json +++ b/catalog/scores/Terrestrial/collection.json @@ -182,13 +182,13 @@ ], "assets": { "data": { - "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/?endpoint_override=sdsc.osn.xsede.org", + "href": "\"s3://anonymous@bio230014-bucket01/challenges/scores/parquet/?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 NEON Ecological Forecasting Aquatics theme.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |>\n dplyr::filter(variable %in% c(\"nee\", \"le\")) |>\n dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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 NEON Ecological Forecasting Aquatics theme.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/scores/parquet/?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |>\n dplyr::filter(variable %in% c(\"nee\", \"le\")) |>\n dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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://projects.ecoforecast.org/neon4cast-catalog/img/BONA_Twr.jpg", diff --git a/catalog/scores/Ticks/Weekly_Amblyomma_americanum_population/collection.json b/catalog/scores/Ticks/Weekly_Amblyomma_americanum_population/collection.json index 668aea80b5..a581b18c57 100644 --- a/catalog/scores/Ticks/Weekly_Amblyomma_americanum_population/collection.json +++ b/catalog/scores/Ticks/Weekly_Amblyomma_americanum_population/collection.json @@ -232,13 +232,13 @@ ], "assets": { "data": { - "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/project_id=neon4cast/duration=P1W/variable=amblyomma_americanum?endpoint_override=sdsc.osn.xsede.org", + "href": "\"s3://anonymous@bio230014-bucket01/challenges/scores/parquet/project_id=neon4cast/duration=P1W/variable=amblyomma_americanum?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 forecasts of the variable by the specific model .\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/project_id=neon4cast/duration=P1W/variable=amblyomma_americanum?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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 forecasts of the variable by the specific model .\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/scores/parquet/project_id=neon4cast/duration=P1W/variable=amblyomma_americanum?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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": "pending", diff --git a/catalog/scores/Ticks/collection.json b/catalog/scores/Ticks/collection.json index d71da161cb..a285edc744 100644 --- a/catalog/scores/Ticks/collection.json +++ b/catalog/scores/Ticks/collection.json @@ -167,13 +167,13 @@ ], "assets": { "data": { - "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/?endpoint_override=sdsc.osn.xsede.org", + "href": "\"s3://anonymous@bio230014-bucket01/challenges/scores/parquet/?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 NEON Ecological Forecasting Aquatics theme.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |>\n dplyr::filter(variable %in% c(\"amblyomma_americanum\")) |>\n dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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 NEON Ecological Forecasting Aquatics theme.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/scores/parquet/?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |>\n dplyr::filter(variable %in% c(\"amblyomma_americanum\")) |>\n dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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/tick_drag.jpg", diff --git a/catalog/scores/collection.json b/catalog/scores/collection.json index cab15aa92e..c558cc1a30 100644 --- a/catalog/scores/collection.json +++ b/catalog/scores/collection.json @@ -203,13 +203,13 @@ ], "assets": { "data": { - "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/?endpoint_override=sdsc.osn.xsede.org", + "href": "\"s3://anonymous@bio230014-bucket01/challenges/scores/parquet/?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 VERA Forecasting Challenge.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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 VERA Forecasting Challenge.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/scores/parquet/?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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/52760199990_d1a0f154fe_c.jpg", diff --git a/catalog/scores/models/collection.json b/catalog/scores/models/collection.json index c7290a5782..f7d465400d 100644 --- a/catalog/scores/models/collection.json +++ b/catalog/scores/models/collection.json @@ -13,24 +13,6 @@ { "rel": "item", "type": "application/json", -<<<<<<< HEAD - "href": "model_items/climatology.json" - }, - { - "rel": "item", - "type": "application/json", - "href": "model_items/persistenceRW.json" - }, - { - "rel": "item", - "type": "application/json", - "href": "model_items/tg_arima.json" - }, - { - "rel": "item", - "type": "application/json", -======= ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "href": "model_items/tg_ets.json" }, { @@ -41,11 +23,7 @@ { "rel": "item", "type": "application/json", -<<<<<<< HEAD - "href": "model_items/tg_randfor.json" -======= "href": "model_items/tg_precip_lm_all_sites.json" ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 }, { "rel": "item", @@ -60,9 +38,6 @@ { "rel": "item", "type": "application/json", -<<<<<<< HEAD - "href": "model_items/tg_temp_lm.json" -======= "href": "model_items/persistenceRW.json" }, { @@ -83,17 +58,12 @@ { "rel": "item", "type": "application/json", - "href": "model_items/lasso.json" - }, - { - "rel": "item", - "type": "application/json", - "href": "model_items/tg_auto_adam.json" + "href": "model_items/tg_humidity_lm.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/tg_randfor.json" + "href": "model_items/air2waterSat_2.json" }, { "rel": "item", @@ -108,37 +78,27 @@ { "rel": "item", "type": "application/json", - "href": "model_items/tg_humidity_lm.json" - }, - { - "rel": "item", - "type": "application/json", - "href": "model_items/air2waterSat_2.json" - }, - { - "rel": "item", - "type": "application/json", - "href": "model_items/cb_f1.json" + "href": "model_items/lasso.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/climatology.json" + "href": "model_items/tg_auto_adam.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/tg_temp_lm.json" + "href": "model_items/tg_randfor.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/baseline_ensemble.json" + "href": "model_items/USGSHABs1.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/USGSHABs1.json" + "href": "model_items/climatology.json" }, { "rel": "item", @@ -153,92 +113,62 @@ { "rel": "item", "type": "application/json", - "href": "model_items/randfor.json" - }, - { - "rel": "item", - "type": "application/json", - "href": "model_items/GLEON_lm_lag_1day.json" - }, - { - "rel": "item", - "type": "application/json", - "href": "model_items/null.json" ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 + "href": "model_items/cb_f1.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/tg_temp_lm_all_sites.json" + "href": "model_items/tg_temp_lm.json" }, { "rel": "item", "type": "application/json", -<<<<<<< HEAD "href": "model_items/baseline_ensemble.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/tg_precip_lm.json" -======= - "href": "model_items/fARIMA_clim_ensemble.json" ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 - }, - { - "rel": "item", - "type": "application/json", - "href": "model_items/tg_bag_mlp.json" - }, - { - "rel": "item", - "type": "application/json", - "href": "model_items/USGSHABs1.json" + "href": "model_items/randfor.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/tg_humidity_lm.json" + "href": "model_items/flareGLM.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/tg_precip_lm_all_sites.json" + "href": "model_items/flareGOTM_noDA.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/cb_prophet.json" + "href": "model_items/flareSimstrat.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/tg_humidity_lm_all_sites.json" + "href": "model_items/mean.json" }, { "rel": "item", "type": "application/json", -<<<<<<< HEAD - "href": "model_items/cb_f1.json" + "href": "model_items/procEppleyNorbergSteele.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/tg_lasso.json" -======= - "href": "model_items/flareGLM.json" ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 + "href": "model_items/GLEON_JRabaey_temp_physics.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/lasso.json" + "href": "model_items/fARIMA_clim_ensemble.json" }, { "rel": "item", "type": "application/json", -<<<<<<< HEAD - "href": "model_items/randfor.json" + "href": "model_items/flareGLM_noDA.json" }, { "rel": "item", @@ -253,65 +183,13 @@ { "rel": "item", "type": "application/json", - "href": "model_items/air2waterSat_2.json" - }, - { - "rel": "item", - "type": "application/json", - "href": "model_items/tg_auto_adam.json" - }, - { - "rel": "item", - "type": "application/json", - "href": "model_items/flareGLM.json" - }, - { - "rel": "item", - "type": "application/json", - "href": "model_items/flareGOTM_noDA.json" - }, - { - "rel": "item", - "type": "application/json", - "href": "model_items/flareSimstrat.json" - }, - { - "rel": "item", - "type": "application/json", - "href": "model_items/mean.json" - }, - { - "rel": "item", - "type": "application/json", - "href": "model_items/procEppleyNorbergSteele.json" - }, - { - "rel": "item", - "type": "application/json", - "href": "model_items/GLEON_JRabaey_temp_physics.json" - }, - { - "rel": "item", - "type": "application/json", -======= ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "href": "model_items/fARIMA.json" }, - { - "rel": "item", - "type": "application/json", - "href": "model_items/fARIMA_clim_ensemble.json" - }, { "rel": "item", "type": "application/json", "href": "model_items/fTSLM_lag.json" }, - { - "rel": "item", - "type": "application/json", - "href": "model_items/flareGLM_noDA.json" - }, { "rel": "item", "type": "application/json", @@ -325,7 +203,7 @@ { "rel": "item", "type": "application/json", - "href": "model_items/prophet_clim_ensemble.json" + "href": "model_items/procBlanchardMonod.json" }, { "rel": "item", @@ -341,14 +219,11 @@ "rel": "item", "type": "application/json", "href": "model_items/flare_ler_baselines.json" -<<<<<<< HEAD -======= }, { "rel": "item", "type": "application/json", "href": "model_items/procHinshelwoodMonod.json" ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 }, { "rel": "item", @@ -363,31 +238,18 @@ { "rel": "item", "type": "application/json", -<<<<<<< HEAD - "href": "model_items/procHinshelwoodMonod.json" -======= "href": "model_items/GLEON_physics.json" ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 }, { "rel": "item", "type": "application/json", -<<<<<<< HEAD - "href": "model_items/procBlanchardMonod.json" -======= "href": "model_items/procEppleyNorbergMonod.json" ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 }, { "rel": "item", "type": "application/json", "href": "model_items/procCTMIMonod.json" }, - { - "rel": "item", - "type": "application/json", - "href": "model_items/procEppleyNorbergMonod.json" - }, { "rel": "item", "type": "application/json", @@ -545,13 +407,13 @@ ], "assets": { "data": { - "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/?endpoint_override=sdsc.osn.xsede.org", + "href": "\"s3://anonymous@bio230014-bucket01/challenges/scores/parquet/?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 forecasts of the variable by the specific model .\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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 forecasts of the variable by the specific model .\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/scores/parquet/?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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": "pending", diff --git a/catalog/scores/models/model_items/GLEON_JRabaey_temp_physics.json b/catalog/scores/models/model_items/GLEON_JRabaey_temp_physics.json index 27c115ca93..0d8f812a0e 100644 --- a/catalog/scores/models/model_items/GLEON_JRabaey_temp_physics.json +++ b/catalog/scores/models/model_items/GLEON_JRabaey_temp_physics.json @@ -55,11 +55,7 @@ "properties": { "description": "\nmodel info: NA\n\nSites: ARIK, BARC, BIGC, BLDE, BLUE, BLWA, CARI, COMO, CRAM, CUPE, FLNT, GUIL, HOPB, KING, LECO, LEWI, LIRO, MART, MAYF, MCDI, MCRA, OKSR, POSE, PRIN, PRLA, PRPO, REDB, SUGG, SYCA, TECR, TOMB, TOOK, WALK, WLOU\n\nVariables: Daily Water_temperature", "start_datetime": "2023-11-14", -<<<<<<< HEAD "end_datetime": "2024-01-07", -======= - "end_datetime": "2024-01-06", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/scores/models/model_items/GLEON_lm_lag_1day.json b/catalog/scores/models/model_items/GLEON_lm_lag_1day.json index 14804bad17..83886ef92d 100644 --- a/catalog/scores/models/model_items/GLEON_lm_lag_1day.json +++ b/catalog/scores/models/model_items/GLEON_lm_lag_1day.json @@ -28,11 +28,7 @@ "properties": { "description": "\nmodel info: NA\n\nSites: BARC, CRAM, LIRO, PRLA, PRPO, SUGG, TOOK\n\nVariables: Daily Dissolved_oxygen, Daily Water_temperature", "start_datetime": "2023-11-14", -<<<<<<< HEAD "end_datetime": "2024-01-08", -======= - "end_datetime": "2024-01-07", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/scores/models/model_items/USGSHABs1.json b/catalog/scores/models/model_items/USGSHABs1.json index 5afc6cea9e..8a51743102 100644 --- a/catalog/scores/models/model_items/USGSHABs1.json +++ b/catalog/scores/models/model_items/USGSHABs1.json @@ -17,18 +17,14 @@ "type": "MultiPoint", "coordinates": [ [-87.7982, 32.5415], - [-84.4374, 31.1854], - [-88.1589, 31.8534] + [-88.1589, 31.8534], + [-84.4374, 31.1854] ] }, "properties": { - "description": "\nmodel info: NA\n\nSites: BLWA, FLNT, TOMB\n\nVariables: Daily Chlorophyll_a", + "description": "\nmodel info: NA\n\nSites: BLWA, TOMB, FLNT\n\nVariables: Daily Chlorophyll_a", "start_datetime": "2023-11-12", -<<<<<<< HEAD "end_datetime": "2024-01-08", -======= - "end_datetime": "2024-01-07", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/scores/models/model_items/air2waterSat_2.json b/catalog/scores/models/model_items/air2waterSat_2.json index 915e299d48..791ba0d8fd 100644 --- a/catalog/scores/models/model_items/air2waterSat_2.json +++ b/catalog/scores/models/model_items/air2waterSat_2.json @@ -55,11 +55,7 @@ "properties": { "description": "\nmodel info: NA\n\nSites: TOMB, TOOK, WALK, WLOU, ARIK, BARC, BIGC, BLDE, BLUE, BLWA, CARI, COMO, CRAM, CUPE, FLNT, GUIL, HOPB, KING, LECO, LEWI, LIRO, MART, MAYF, MCDI, MCRA, OKSR, POSE, PRIN, PRLA, PRPO, REDB, SUGG, SYCA, TECR\n\nVariables: Daily Dissolved_oxygen, Daily Water_temperature", "start_datetime": "2023-11-14", -<<<<<<< HEAD "end_datetime": "2024-01-09", -======= - "end_datetime": "2024-01-08", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/scores/models/model_items/baseline_ensemble.json b/catalog/scores/models/model_items/baseline_ensemble.json index 35d68f69b4..f212a09b8d 100644 --- a/catalog/scores/models/model_items/baseline_ensemble.json +++ b/catalog/scores/models/model_items/baseline_ensemble.json @@ -22,19 +22,16 @@ [-119.006, 37.0058], [-89.5857, 45.4937], [-95.1921, 39.0404], -<<<<<<< HEAD [-102.4471, 39.7582], [-82.0084, 29.676], [-119.2575, 37.0597], [-110.5871, 44.9501], [-96.6242, 34.4442], -======= [-96.443, 38.9459], [-122.1655, 44.2596], [-78.1473, 38.8943], [-97.7823, 33.3785], [-111.7979, 40.7839], ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 [-99.1066, 47.1617], [-87.8039, 32.5417], [-81.4362, 28.1251], @@ -54,22 +51,17 @@ [-119.7323, 37.1088], [-119.2622, 37.0334], [-110.8355, 31.9107], - [-102.4471, 39.7582], - [-82.0084, 29.676], - [-119.2575, 37.0597], - [-110.5871, 44.9501], - [-96.6242, 34.4442], [-72.3295, 42.4719], [-96.6038, 39.1051], [-83.5038, 35.6904], [-77.9832, 39.0956], [-121.9338, 45.7908], [-87.4077, 32.9604], - [-96.443, 38.9459], - [-122.1655, 44.2596], - [-78.1473, 38.8943], - [-97.7823, 33.3785], - [-111.7979, 40.7839], + [-87.7982, 32.5415], + [-105.5442, 40.035], + [-66.9868, 18.1135], + [-84.4374, 31.1854], + [-66.7987, 18.1741], [-122.3303, 45.7624], [-71.2874, 44.0639], [-78.0418, 39.0337], @@ -80,18 +72,13 @@ [-96.6129, 39.1104], [-96.5631, 39.1008], [-67.0769, 18.0213], - [-87.7982, 32.5415], - [-105.5442, 40.035], - [-66.9868, 18.1135], - [-84.4374, 31.1854], - [-66.7987, 18.1741], - [-72.1727, 42.5369], [-82.0177, 29.6878], [-111.5081, 33.751], [-119.0274, 36.9559], [-88.1589, 31.8534], [-84.2793, 35.9574], [-105.9154, 39.8914], + [-72.1727, 42.5369], [-99.0588, 35.4106], [-112.4524, 40.1776], [-84.2826, 35.9641], @@ -101,15 +88,9 @@ ] }, "properties": { -<<<<<<< HEAD - "description": "\nmodel info: NA\n\nSites: STEI, STER, TALL, TEAK, TREE, UKFS, ARIK, BARC, BIGC, BLDE, BLUE, DCFS, DELA, DSNY, GRSM, GUAN, UNDE, WOOD, WREF, YELL, LENO, MLBS, MOAB, NIWO, NOGP, SCBI, SERC, SJER, SOAP, SRER, HOPB, KING, LECO, LEWI, MART, MAYF, MCDI, MCRA, POSE, PRIN, REDB, ABBY, BART, BLAN, CLBJ, CPER, JERC, JORN, KONA, KONZ, LAJA, BLWA, COMO, CUPE, FLNT, GUIL, HARV, SUGG, SYCA, TECR, TOMB, WALK, WLOU, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP\n\nVariables: Daily Red_chromatic_coordinate, Daily Water_temperature", + "description": "\nmodel info: NA\n\nSites: STEI, STER, TALL, TEAK, TREE, UKFS, ARIK, BARC, BIGC, BLDE, BLUE, MCDI, MCRA, POSE, PRIN, REDB, DCFS, DELA, DSNY, GRSM, GUAN, UNDE, WOOD, WREF, YELL, LENO, MLBS, MOAB, NIWO, NOGP, SCBI, SERC, SJER, SOAP, SRER, HOPB, KING, LECO, LEWI, MART, MAYF, BLWA, COMO, CUPE, FLNT, GUIL, ABBY, BART, BLAN, CLBJ, CPER, JERC, JORN, KONA, KONZ, LAJA, SUGG, SYCA, TECR, TOMB, WALK, WLOU, HARV, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP\n\nVariables: Daily Red_chromatic_coordinate, Daily Water_temperature", "start_datetime": "2023-11-14", "end_datetime": "2024-01-04", -======= - "description": "\nmodel info: NA\n\nSites: STEI, STER, TALL, TEAK, TREE, UKFS, MCDI, MCRA, POSE, PRIN, REDB, DCFS, DELA, DSNY, GRSM, GUAN, UNDE, WOOD, WREF, YELL, LENO, MLBS, MOAB, NIWO, NOGP, SCBI, SERC, SJER, SOAP, SRER, ARIK, BARC, BIGC, BLDE, BLUE, HOPB, KING, LECO, LEWI, MART, MAYF, BLWA, COMO, CUPE, FLNT, GUIL, ABBY, BART, BLAN, CLBJ, CPER, JERC, JORN, KONA, KONZ, LAJA, SUGG, SYCA, TECR, TOMB, WALK, WLOU, HARV, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP\n\nVariables: Daily Red_chromatic_coordinate, Daily Water_temperature", - "start_datetime": "2023-11-14", - "end_datetime": "2024-01-03", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/scores/models/model_items/cb_f1.json b/catalog/scores/models/model_items/cb_f1.json index abf34af39c..7660b6b61e 100644 --- a/catalog/scores/models/model_items/cb_f1.json +++ b/catalog/scores/models/model_items/cb_f1.json @@ -55,11 +55,7 @@ "properties": { "description": [], "start_datetime": "2023-10-11", -<<<<<<< HEAD "end_datetime": "2024-10-30", -======= - "end_datetime": "2024-10-29", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/scores/models/model_items/cb_prophet.json b/catalog/scores/models/model_items/cb_prophet.json index 142efff87c..751766e0a3 100644 --- a/catalog/scores/models/model_items/cb_prophet.json +++ b/catalog/scores/models/model_items/cb_prophet.json @@ -16,55 +16,33 @@ "geometry": { "type": "MultiPoint", "coordinates": [ -<<<<<<< HEAD - [-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], - [-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], - [-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], - [-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], -======= + [-87.7982, 32.5415], + [-147.504, 65.1532], + [-105.5442, 40.035], + [-89.4737, 46.2097], + [-66.9868, 18.1135], + [-84.4374, 31.1854], + [-66.7987, 18.1741], + [-72.3295, 42.4719], + [-96.6038, 39.1051], + [-83.5038, 35.6904], + [-77.9832, 39.0956], + [-89.7048, 45.9983], + [-121.9338, 45.7908], + [-87.4077, 32.9604], + [-96.443, 38.9459], + [-122.1655, 44.2596], + [-78.1473, 38.8943], + [-97.7823, 33.3785], + [-99.1139, 47.1591], + [-99.2531, 47.1298], + [-111.7979, 40.7839], + [-82.0177, 29.6878], + [-111.5081, 33.751], + [-119.0274, 36.9559], + [-88.1589, 31.8534], + [-84.2793, 35.9574], + [-105.9154, 39.8914], [-71.2874, 44.0639], [-104.7456, 40.8155], [-72.1727, 42.5369], @@ -108,41 +86,10 @@ [-78.1395, 38.8929], [-109.3883, 38.2483], [-155.3173, 19.5531], ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 - [-87.7982, 32.5415], - [-147.504, 65.1532], - [-105.5442, 40.035], - [-89.4737, 46.2097], - [-66.9868, 18.1135], - [-84.4374, 31.1854], - [-66.7987, 18.1741], - [-72.3295, 42.4719], - [-96.6038, 39.1051], - [-83.5038, 35.6904], - [-77.9832, 39.0956], - [-89.7048, 45.9983], - [-121.9338, 45.7908], - [-87.4077, 32.9604], - [-96.443, 38.9459], - [-122.1655, 44.2596], - [-78.1473, 38.8943], - [-97.7823, 33.3785], - [-99.1139, 47.1591], - [-99.2531, 47.1298], - [-111.7979, 40.7839], - [-82.0177, 29.6878], - [-111.5081, 33.751], - [-119.0274, 36.9559], - [-88.1589, 31.8534], - [-84.2793, 35.9574], - [-105.9154, 39.8914], -<<<<<<< HEAD -======= [-110.5391, 44.9535], [-147.5026, 65.154], [-66.8687, 17.9696], [-81.9934, 29.6893], ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 [-102.4471, 39.7582], [-82.0084, 29.676], [-119.2575, 37.0597], @@ -151,15 +98,9 @@ ] }, "properties": { -<<<<<<< HEAD - "description": "\nmodel info: NA\n\nSites: 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, SERC, BLWA, CARI, COMO, CRAM, CUPE, FLNT, GUIL, HOPB, KING, LECO, LEWI, LIRO, MART, MAYF, MCDI, MCRA, POSE, PRIN, PRLA, PRPO, REDB, SUGG, SYCA, TECR, TOMB, WALK, WLOU, ARIK, BARC, BIGC, BLDE, BLUE\n\nVariables: Daily Green_chromatic_coordinate, Daily latent_heat_flux, Daily Dissolved_oxygen, Daily Net_ecosystem_exchange, Daily Red_chromatic_coordinate, Daily Water_temperature, Daily Chlorophyll_a", + "description": "\nmodel info: NA\n\nSites: BLWA, CARI, COMO, CRAM, CUPE, FLNT, GUIL, HOPB, KING, LECO, LEWI, LIRO, MART, MAYF, MCDI, MCRA, POSE, PRIN, PRLA, PRPO, REDB, SUGG, SYCA, TECR, TOMB, WALK, WLOU, 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, SCBI, MOAB, PUUM, YELL, BONA, GUAN, OSBS, ARIK, BARC, BIGC, BLDE, BLUE\n\nVariables: Daily Dissolved_oxygen, Daily Net_ecosystem_exchange, Daily Green_chromatic_coordinate, Daily latent_heat_flux, Daily Red_chromatic_coordinate, Daily Water_temperature, Daily Chlorophyll_a", "start_datetime": "2023-11-14", "end_datetime": "2024-01-08", -======= - "description": "\nmodel info: NA\n\nSites: 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, SCBI, MOAB, PUUM, BLWA, CARI, COMO, CRAM, CUPE, FLNT, GUIL, HOPB, KING, LECO, LEWI, LIRO, MART, MAYF, MCDI, MCRA, POSE, PRIN, PRLA, PRPO, REDB, SUGG, SYCA, TECR, TOMB, WALK, WLOU, YELL, BONA, GUAN, OSBS, ARIK, BARC, BIGC, BLDE, BLUE\n\nVariables: Daily Net_ecosystem_exchange, Daily Dissolved_oxygen, Daily Green_chromatic_coordinate, Daily latent_heat_flux, Daily Red_chromatic_coordinate, Daily Water_temperature, Daily Chlorophyll_a", - "start_datetime": "2023-11-14", - "end_datetime": "2024-01-07", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", @@ -182,15 +123,10 @@ "keywords": [ "Forecasting", "neon4cast", -<<<<<<< HEAD -======= - "Daily Net_ecosystem_exchange", "Daily Dissolved_oxygen", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 + "Daily Net_ecosystem_exchange", "Daily Green_chromatic_coordinate", "Daily latent_heat_flux", - "Daily Dissolved_oxygen", - "Daily Net_ecosystem_exchange", "Daily Red_chromatic_coordinate", "Daily Water_temperature", "Daily Chlorophyll_a" @@ -346,43 +282,28 @@ }, "3": { "type": "application/x-parquet", -<<<<<<< HEAD -======= - "title": "Database Access for Daily Net_ecosystem_exchange", - "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/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/scores/parquet/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" - }, - "4": { - "type": "application/x-parquet", "title": "Database Access for Daily Dissolved_oxygen", "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=oxygen/model_id=cb_prophet?endpoint_override=sdsc.osn.xsede.org", "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=oxygen/model_id=cb_prophet?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, + "4": { + "type": "application/x-parquet", + "title": "Database Access for Daily Net_ecosystem_exchange", + "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/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/scores/parquet/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": { "type": "application/x-parquet", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "title": "Database Access for Daily Green_chromatic_coordinate", "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/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/scores/parquet/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": { + "6": { "type": "application/x-parquet", "title": "Database Access for Daily latent_heat_flux", "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/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/scores/parquet/duration=P1D/variable=le/model_id=cb_prophet?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, - "5": { - "type": "application/x-parquet", - "title": "Database Access for Daily Dissolved_oxygen", - "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=oxygen/model_id=cb_prophet?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=oxygen/model_id=cb_prophet?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" - }, - "6": { - "type": "application/x-parquet", - "title": "Database Access for Daily Net_ecosystem_exchange", - "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/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/scores/parquet/duration=P1D/variable=nee/model_id=cb_prophet?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" - }, "7": { "type": "application/x-parquet", "title": "Database Access for Daily Red_chromatic_coordinate", diff --git a/catalog/scores/models/model_items/climatology.json b/catalog/scores/models/model_items/climatology.json index 6fcf78ae95..9735c025e7 100644 --- a/catalog/scores/models/model_items/climatology.json +++ b/catalog/scores/models/model_items/climatology.json @@ -16,52 +16,17 @@ "geometry": { "type": "MultiPoint", "coordinates": [ -<<<<<<< HEAD -======= - [-102.4471, 39.7582], - [-82.0084, 29.676], - [-119.2575, 37.0597], - [-110.5871, 44.9501], - [-96.6242, 34.4442], - [-87.7982, 32.5415], - [-105.5442, 40.035], - [-66.9868, 18.1135], - [-84.4374, 31.1854], ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 - [-66.7987, 18.1741], - [-72.3295, 42.4719], - [-96.6038, 39.1051], - [-83.5038, 35.6904], - [-77.9832, 39.0956], - [-121.9338, 45.7908], - [-87.4077, 32.9604], - [-96.443, 38.9459], - [-122.1655, 44.2596], - [-78.1473, 38.8943], - [-97.7823, 33.3785], - [-111.7979, 40.7839], - [-82.0177, 29.6878], - [-111.5081, 33.751], - [-119.0274, 36.9559], - [-88.1589, 31.8534], - [-84.2793, 35.9574], - [-105.9154, 39.8914], -<<<<<<< HEAD - [-145.7514, 63.8811], -======= [-122.3303, 45.7624], [-71.2874, 44.0639], [-78.0418, 39.0337], [-97.57, 33.4012], [-104.7456, 40.8155], [-99.1066, 47.1617], ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 [-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], @@ -87,51 +52,51 @@ [-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], -<<<<<<< HEAD - [-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], - [-82.0084, 29.676], - [-87.7982, 32.5415], - [-84.4374, 31.1854], [-102.4471, 39.7582], + [-82.0084, 29.676], [-119.2575, 37.0597], [-110.5871, 44.9501], [-96.6242, 34.4442], + [-87.7982, 32.5415], [-105.5442, 40.035], [-66.9868, 18.1135], -======= + [-84.4374, 31.1854], + [-66.7987, 18.1741], + [-72.3295, 42.4719], + [-96.6038, 39.1051], + [-83.5038, 35.6904], + [-77.9832, 39.0956], + [-121.9338, 45.7908], + [-87.4077, 32.9604], + [-96.443, 38.9459], + [-122.1655, 44.2596], + [-78.1473, 38.8943], + [-97.7823, 33.3785], + [-111.7979, 40.7839], + [-82.0177, 29.6878], + [-111.5081, 33.751], + [-119.0274, 36.9559], + [-88.1589, 31.8534], + [-84.2793, 35.9574], + [-105.9154, 39.8914], [-145.7514, 63.8811], [-149.2133, 63.8758], [-149.3705, 68.6611], [-156.6194, 71.2824], [-147.5026, 65.154], ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 [-147.504, 65.1532] ] }, "properties": { -<<<<<<< HEAD - "description": ["\nmodel info: Historical DOY mean and sd. Assumes normal distribution\n\n\nSites: GUIL, HOPB, KING, LECO, LEWI, MART, MAYF, MCDI, MCRA, POSE, PRIN, REDB, SUGG, SYCA, TECR, TOMB, WALK, WLOU, 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, BARC, BLWA, FLNT, ARIK, BIGC, BLDE, BLUE, COMO, CUPE, CARI\n\nVariables: Daily Dissolved_oxygen, 30min latent_heat_flux, Daily latent_heat_flux, 30min Net_ecosystem_exchange, Daily Net_ecosystem_exchange, Daily Chlorophyll_a, Daily Green_chromatic_coordinate, Daily Water_temperature, Daily Red_chromatic_coordinate", "\nmodel info: NA\n\nSites: GUIL, HOPB, KING, LECO, LEWI, MART, MAYF, MCDI, MCRA, POSE, PRIN, REDB, SUGG, SYCA, TECR, TOMB, WALK, WLOU, 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, BARC, BLWA, FLNT, ARIK, BIGC, BLDE, BLUE, COMO, CUPE, CARI\n\nVariables: Daily Dissolved_oxygen, 30min latent_heat_flux, Daily latent_heat_flux, 30min Net_ecosystem_exchange, Daily Net_ecosystem_exchange, Daily Chlorophyll_a, Daily Green_chromatic_coordinate, 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, ARIK, BARC, BIGC, BLDE, BLUE, BLWA, COMO, CUPE, FLNT, GUIL, HOPB, KING, LECO, LEWI, MART, MAYF, MCDI, MCRA, POSE, PRIN, REDB, SUGG, SYCA, TECR, TOMB, WALK, WLOU, DEJU, HEAL, TOOL, BARR, BONA, CARI\n\nVariables: Daily Green_chromatic_coordinate, Daily Dissolved_oxygen, 30min latent_heat_flux, Daily latent_heat_flux, 30min Net_ecosystem_exchange, Daily Net_ecosystem_exchange, Daily Chlorophyll_a, Daily Red_chromatic_coordinate, Daily Water_temperature", "\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, ARIK, BARC, BIGC, BLDE, BLUE, BLWA, COMO, CUPE, FLNT, GUIL, HOPB, KING, LECO, LEWI, MART, MAYF, MCDI, MCRA, POSE, PRIN, REDB, SUGG, SYCA, TECR, TOMB, WALK, WLOU, DEJU, HEAL, TOOL, BARR, BONA, CARI\n\nVariables: Daily Green_chromatic_coordinate, Daily Dissolved_oxygen, 30min latent_heat_flux, Daily latent_heat_flux, 30min Net_ecosystem_exchange, Daily Net_ecosystem_exchange, Daily Chlorophyll_a, Daily Red_chromatic_coordinate, Daily Water_temperature"], "start_datetime": "2023-11-14", "end_datetime": "2024-01-11", -======= - "description": ["\nmodel info: Historical DOY mean and sd. Assumes normal distribution\n\n\nSites: ARIK, BARC, BIGC, BLDE, BLUE, BLWA, COMO, CUPE, FLNT, GUIL, HOPB, KING, LECO, LEWI, MART, MAYF, MCDI, MCRA, POSE, PRIN, REDB, SUGG, SYCA, TECR, TOMB, WALK, WLOU, 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, DEJU, HEAL, TOOL, BARR, BONA, CARI\n\nVariables: Daily Dissolved_oxygen, Daily Green_chromatic_coordinate, 30min latent_heat_flux, Daily latent_heat_flux, 30min Net_ecosystem_exchange, Daily Net_ecosystem_exchange, Daily Chlorophyll_a, Daily Water_temperature, Daily Red_chromatic_coordinate", "\nmodel info: NA\n\nSites: ARIK, BARC, BIGC, BLDE, BLUE, BLWA, COMO, CUPE, FLNT, GUIL, HOPB, KING, LECO, LEWI, MART, MAYF, MCDI, MCRA, POSE, PRIN, REDB, SUGG, SYCA, TECR, TOMB, WALK, WLOU, 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, DEJU, HEAL, TOOL, BARR, BONA, CARI\n\nVariables: Daily Dissolved_oxygen, Daily Green_chromatic_coordinate, 30min latent_heat_flux, Daily latent_heat_flux, 30min Net_ecosystem_exchange, Daily Net_ecosystem_exchange, Daily Chlorophyll_a, Daily Water_temperature, Daily Red_chromatic_coordinate"], - "start_datetime": "2023-11-14", - "end_datetime": "2024-01-10", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", @@ -154,16 +119,15 @@ "keywords": [ "Forecasting", "neon4cast", - "Daily Dissolved_oxygen", "Daily Green_chromatic_coordinate", + "Daily Dissolved_oxygen", "30min latent_heat_flux", "Daily latent_heat_flux", "30min Net_ecosystem_exchange", "Daily Net_ecosystem_exchange", "Daily Chlorophyll_a", - "Daily Green_chromatic_coordinate", - "Daily Water_temperature", - "Daily Red_chromatic_coordinate" + "Daily Red_chromatic_coordinate", + "Daily Water_temperature" ], "table:columns": [ { @@ -315,67 +279,58 @@ "description": "The link to the model code provided by the model submission team" }, "3": { - "type": "application/x-parquet", - "title": "Database Access for Daily Dissolved_oxygen", - "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=oxygen/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/scores/parquet/duration=P1D/variable=oxygen/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": { -<<<<<<< HEAD -======= "type": "application/x-parquet", "title": "Database Access for Daily Green_chromatic_coordinate", "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/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/scores/parquet/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 Dissolved_oxygen", + "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=oxygen/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/scores/parquet/duration=P1D/variable=oxygen/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": { ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "type": "application/x-parquet", "title": "Database Access for 30min latent_heat_flux", "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/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/scores/parquet/duration=PT30M/variable=le/model_id=climatology?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, - "5": { + "6": { "type": "application/x-parquet", "title": "Database Access for Daily latent_heat_flux", "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/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/scores/parquet/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" }, - "6": { + "7": { "type": "application/x-parquet", "title": "Database Access for 30min Net_ecosystem_exchange", "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/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/scores/parquet/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" }, - "7": { + "8": { "type": "application/x-parquet", "title": "Database Access for Daily Net_ecosystem_exchange", "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/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/scores/parquet/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" }, - "8": { + "9": { "type": "application/x-parquet", "title": "Database Access for Daily Chlorophyll_a", "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/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/scores/parquet/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" }, - "9": { + "10": { "type": "application/x-parquet", - "title": "Database Access for Daily Green_chromatic_coordinate", - "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/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/scores/parquet/duration=P1D/variable=gcc_90/model_id=climatology?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + "title": "Database Access for Daily Red_chromatic_coordinate", + "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=rcc_90/model_id=climatology?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=rcc_90/model_id=climatology?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, - "10": { + "11": { "type": "application/x-parquet", "title": "Database Access for Daily Water_temperature", "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=temperature/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/scores/parquet/duration=P1D/variable=temperature/model_id=climatology?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" - }, - "11": { - "type": "application/x-parquet", - "title": "Database Access for Daily Red_chromatic_coordinate", - "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=rcc_90/model_id=climatology?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=rcc_90/model_id=climatology?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" } } } diff --git a/catalog/scores/models/model_items/fARIMA.json b/catalog/scores/models/model_items/fARIMA.json index 0686d992b5..4251cf9b74 100644 --- a/catalog/scores/models/model_items/fARIMA.json +++ b/catalog/scores/models/model_items/fARIMA.json @@ -55,11 +55,7 @@ "properties": { "description": "\nmodel info: NA\n\nSites: BLWA, CARI, COMO, CRAM, CUPE, FLNT, GUIL, HOPB, KING, LECO, LEWI, LIRO, MART, MAYF, MCDI, MCRA, OKSR, POSE, PRIN, PRLA, PRPO, REDB, SUGG, SYCA, TECR, TOMB, TOOK, WALK, WLOU, ARIK, BARC, BIGC, BLDE, BLUE\n\nVariables: Daily Water_temperature", "start_datetime": "2023-11-10", -<<<<<<< HEAD "end_datetime": "2024-01-08", -======= - "end_datetime": "2024-01-07", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/scores/models/model_items/fARIMA_clim_ensemble.json b/catalog/scores/models/model_items/fARIMA_clim_ensemble.json index ec7895beeb..bf2eef8941 100644 --- a/catalog/scores/models/model_items/fARIMA_clim_ensemble.json +++ b/catalog/scores/models/model_items/fARIMA_clim_ensemble.json @@ -16,21 +16,15 @@ "geometry": { "type": "MultiPoint", "coordinates": [ - [-96.6038, 39.1051], [-83.5038, 35.6904], [-77.9832, 39.0956], [-121.9338, 45.7908], [-87.4077, 32.9604], [-96.443, 38.9459], + [-122.1655, 44.2596], + [-96.6038, 39.1051], [-78.1473, 38.8943], [-111.7979, 40.7839], - [-122.1655, 44.2596], - [-105.5442, 40.035], - [-89.4737, 46.2097], - [-66.9868, 18.1135], - [-84.4374, 31.1854], - [-66.7987, 18.1741], - [-72.3295, 42.4719], [-102.4471, 39.7582], [-82.0084, 29.676], [-110.5871, 44.9501], @@ -39,21 +33,21 @@ [-82.0177, 29.6878], [-111.5081, 33.751], [-84.2793, 35.9574], + [-105.5442, 40.035], + [-89.4737, 46.2097], + [-66.9868, 18.1135], + [-84.4374, 31.1854], + [-66.7987, 18.1741], + [-72.3295, 42.4719], [-97.7823, 33.3785], [-105.9154, 39.8914], [-88.1589, 31.8534] ] }, "properties": { -<<<<<<< HEAD - "description": "\nmodel info: NA\n\nSites: KING, LECO, LEWI, MART, MAYF, MCDI, POSE, REDB, MCRA, COMO, CRAM, CUPE, FLNT, GUIL, HOPB, ARIK, BARC, BLDE, BLUE, BLWA, SUGG, SYCA, WALK, PRIN, WLOU, TOMB\n\nVariables: Daily Water_temperature", + "description": "\nmodel info: NA\n\nSites: LECO, LEWI, MART, MAYF, MCDI, MCRA, KING, POSE, REDB, ARIK, BARC, BLDE, BLUE, BLWA, SUGG, SYCA, WALK, COMO, CRAM, CUPE, FLNT, GUIL, HOPB, PRIN, WLOU, TOMB\n\nVariables: Daily Water_temperature", "start_datetime": "2023-11-10", "end_datetime": "2024-01-04", -======= - "description": "\nmodel info: NA\n\nSites: LECO, LEWI, MART, MAYF, MCDI, MCRA, KING, POSE, REDB, COMO, CRAM, CUPE, FLNT, GUIL, HOPB, ARIK, BARC, BLDE, BLUE, BLWA, SUGG, SYCA, WALK, PRIN, WLOU, TOMB\n\nVariables: Daily Water_temperature", - "start_datetime": "2023-11-10", - "end_datetime": "2024-01-03", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/scores/models/model_items/fTSLM_lag.json b/catalog/scores/models/model_items/fTSLM_lag.json index a9b68a461d..fc68b73859 100644 --- a/catalog/scores/models/model_items/fTSLM_lag.json +++ b/catalog/scores/models/model_items/fTSLM_lag.json @@ -55,11 +55,7 @@ "properties": { "description": "\nmodel info: NA\n\nSites: PRLA, PRPO, REDB, SUGG, SYCA, TECR, TOMB, TOOK, WALK, WLOU, ARIK, BARC, BIGC, BLDE, BLUE, BLWA, CARI, COMO, CRAM, CUPE, FLNT, GUIL, HOPB, KING, LECO, LEWI, LIRO, MART, MAYF, MCDI, MCRA, OKSR, POSE, PRIN\n\nVariables: Daily Water_temperature", "start_datetime": "2023-11-10", -<<<<<<< HEAD "end_datetime": "2024-01-08", -======= - "end_datetime": "2024-01-07", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/scores/models/model_items/flareGLM.json b/catalog/scores/models/model_items/flareGLM.json index 32c1122f16..c5c285a4ff 100644 --- a/catalog/scores/models/model_items/flareGLM.json +++ b/catalog/scores/models/model_items/flareGLM.json @@ -28,11 +28,7 @@ "properties": { "description": "\nmodel info: NA\n\nSites: BARC, CRAM, LIRO, PRLA, PRPO, SUGG, TOOK\n\nVariables: Daily Water_temperature", "start_datetime": "2023-11-15", -<<<<<<< HEAD "end_datetime": "2024-01-05", -======= - "end_datetime": "2024-01-04", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/scores/models/model_items/flareGLM_noDA.json b/catalog/scores/models/model_items/flareGLM_noDA.json index c9fc7e00d7..5639d1bac5 100644 --- a/catalog/scores/models/model_items/flareGLM_noDA.json +++ b/catalog/scores/models/model_items/flareGLM_noDA.json @@ -16,23 +16,19 @@ "geometry": { "type": "MultiPoint", "coordinates": [ + [-99.2531, 47.1298], + [-82.0177, 29.6878], + [-149.6106, 68.6307], [-82.0084, 29.676], [-89.4737, 46.2097], [-89.7048, 45.9983], - [-99.1139, 47.1591], - [-99.2531, 47.1298], - [-82.0177, 29.6878], - [-149.6106, 68.6307] + [-99.1139, 47.1591] ] }, "properties": { - "description": "\nmodel info: NA\n\nSites: BARC, CRAM, LIRO, PRLA, PRPO, SUGG, TOOK\n\nVariables: Daily Water_temperature", + "description": "\nmodel info: NA\n\nSites: PRPO, SUGG, TOOK, BARC, CRAM, LIRO, PRLA\n\nVariables: Daily Water_temperature", "start_datetime": "2023-11-15", -<<<<<<< HEAD "end_datetime": "2024-01-05", -======= - "end_datetime": "2024-01-04", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/scores/models/model_items/flareGOTM.json b/catalog/scores/models/model_items/flareGOTM.json index 5937004920..ffc11fe5ae 100644 --- a/catalog/scores/models/model_items/flareGOTM.json +++ b/catalog/scores/models/model_items/flareGOTM.json @@ -27,11 +27,7 @@ "properties": { "description": "\nmodel info: NA\n\nSites: BARC, CRAM, LIRO, PRLA, PRPO, SUGG\n\nVariables: Daily Water_temperature", "start_datetime": "2023-11-15", -<<<<<<< HEAD "end_datetime": "2024-01-05", -======= - "end_datetime": "2024-01-04", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/scores/models/model_items/flareGOTM_noDA.json b/catalog/scores/models/model_items/flareGOTM_noDA.json index 2524b263cc..bd030ffb29 100644 --- a/catalog/scores/models/model_items/flareGOTM_noDA.json +++ b/catalog/scores/models/model_items/flareGOTM_noDA.json @@ -27,11 +27,7 @@ "properties": { "description": "\nmodel info: NA\n\nSites: PRPO, SUGG, BARC, CRAM, LIRO, PRLA\n\nVariables: Daily Water_temperature", "start_datetime": "2023-11-15", -<<<<<<< HEAD "end_datetime": "2024-01-05", -======= - "end_datetime": "2024-01-04", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/scores/models/model_items/flareSimstrat.json b/catalog/scores/models/model_items/flareSimstrat.json index c7db3338a1..a2f60789c5 100644 --- a/catalog/scores/models/model_items/flareSimstrat.json +++ b/catalog/scores/models/model_items/flareSimstrat.json @@ -27,11 +27,7 @@ "properties": { "description": "\nmodel info: NA\n\nSites: BARC, CRAM, LIRO, PRLA, PRPO, SUGG\n\nVariables: Daily Water_temperature", "start_datetime": "2023-11-15", -<<<<<<< HEAD "end_datetime": "2024-01-05", -======= - "end_datetime": "2024-01-04", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/scores/models/model_items/flareSimstrat_noDA.json b/catalog/scores/models/model_items/flareSimstrat_noDA.json index 773d6af50b..b94fc35b6f 100644 --- a/catalog/scores/models/model_items/flareSimstrat_noDA.json +++ b/catalog/scores/models/model_items/flareSimstrat_noDA.json @@ -26,11 +26,7 @@ "properties": { "description": "\nmodel info: NA\n\nSites: BARC, CRAM, PRLA, PRPO, SUGG\n\nVariables: Daily Water_temperature", "start_datetime": "2023-11-15", -<<<<<<< HEAD "end_datetime": "2024-01-05", -======= - "end_datetime": "2024-01-04", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/scores/models/model_items/flare_ler.json b/catalog/scores/models/model_items/flare_ler.json index 946c9b3713..de144a0da5 100644 --- a/catalog/scores/models/model_items/flare_ler.json +++ b/catalog/scores/models/model_items/flare_ler.json @@ -27,11 +27,7 @@ "properties": { "description": "\nmodel info: NA\n\nSites: BARC, CRAM, LIRO, PRLA, PRPO, SUGG\n\nVariables: Daily Water_temperature", "start_datetime": "2023-11-14", -<<<<<<< HEAD "end_datetime": "2024-01-04", -======= - "end_datetime": "2024-01-03", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/scores/models/model_items/flare_ler_baselines.json b/catalog/scores/models/model_items/flare_ler_baselines.json index d90ed90f15..886097796e 100644 --- a/catalog/scores/models/model_items/flare_ler_baselines.json +++ b/catalog/scores/models/model_items/flare_ler_baselines.json @@ -23,11 +23,7 @@ "properties": { "description": "\nmodel info: NA\n\nSites: BARC, SUGG\n\nVariables: Daily Water_temperature", "start_datetime": "2023-11-14", -<<<<<<< HEAD "end_datetime": "2024-01-04", -======= - "end_datetime": "2024-01-03", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/scores/models/model_items/lasso.json b/catalog/scores/models/model_items/lasso.json index a3bff2c108..221def010e 100644 --- a/catalog/scores/models/model_items/lasso.json +++ b/catalog/scores/models/model_items/lasso.json @@ -68,11 +68,7 @@ "properties": { "description": [], "start_datetime": "2023-11-14", -<<<<<<< HEAD "end_datetime": "2024-01-08", -======= - "end_datetime": "2024-01-07", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/scores/models/model_items/mean.json b/catalog/scores/models/model_items/mean.json index 85cce69bf2..0c4c339695 100644 --- a/catalog/scores/models/model_items/mean.json +++ b/catalog/scores/models/model_items/mean.json @@ -36,21 +36,8 @@ [-105.5824, 40.0543], [-155.3173, 19.5531], [-105.546, 40.2759], -<<<<<<< HEAD -======= [-76.56, 38.8901], [-99.1066, 47.1617], ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 - [-84.4686, 31.1948], - [-106.8425, 32.5907], - [-89.5857, 45.4937], - [-95.1921, 39.0404], -<<<<<<< HEAD - [-66.8687, 17.9696], - [-100.9154, 46.7697], - [-76.56, 38.8901], - [-99.1066, 47.1617], -======= [-100.9154, 46.7697], [-81.9934, 29.6893], [-66.8687, 17.9696], @@ -59,28 +46,20 @@ [-119.7323, 37.1088], [-87.3933, 32.9505], [-119.006, 37.0058], ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 + [-84.4686, 31.1948], + [-106.8425, 32.5907], + [-89.5857, 45.4937], + [-95.1921, 39.0404], [-104.7456, 40.8155], [-99.0588, 35.4106], [-112.4524, 40.1776], [-89.5864, 45.5089], - [-81.9934, 29.6893], - [-72.1727, 42.5369], - [-88.1612, 31.8539], - [-119.7323, 37.1088], - [-87.3933, 32.9505], - [-119.006, 37.0058], - [-119.2622, 37.0334], [-89.5373, 46.2339], [-78.0418, 39.0337], -<<<<<<< HEAD -======= [-149.2133, 63.8758], - [-119.2622, 37.0334], ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 [-78.1395, 38.8929], [-103.0293, 40.4619], - [-149.2133, 63.8758], + [-119.2622, 37.0334], [-97.57, 33.4012], [-147.5026, 65.154], [-110.8355, 31.9107] diff --git a/catalog/scores/models/model_items/persistenceRW.json b/catalog/scores/models/model_items/persistenceRW.json index 2c0ba9c349..1e9476003e 100644 --- a/catalog/scores/models/model_items/persistenceRW.json +++ b/catalog/scores/models/model_items/persistenceRW.json @@ -16,8 +16,6 @@ "geometry": { "type": "MultiPoint", "coordinates": [ -<<<<<<< HEAD -======= [-99.0588, 35.4106], [-112.4524, 40.1776], [-84.2826, 35.9641], @@ -36,39 +34,30 @@ [-89.5864, 45.5089], [-103.0293, 40.4619], [-87.3933, 32.9505], ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 - [-97.7823, 33.3785], - [-99.1139, 47.1591], - [-99.2531, 47.1298], - [-111.7979, 40.7839], - [-82.0177, 29.6878], - [-122.3303, 45.7624], - [-99.2413, 47.1282], - [-121.9519, 45.8205], - [-110.5391, 44.9535], -<<<<<<< HEAD - [-119.2622, 37.0334], - [-110.8355, 31.9107], - [-89.5864, 45.5089], - [-103.0293, 40.4619], - [-87.3933, 32.9505], - [-67.0769, 18.0213], - [-88.1612, 31.8539], -======= ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 [-80.5248, 37.3783], [-109.3883, 38.2483], [-105.5824, 40.0543], [-100.9154, 46.7697], -<<<<<<< HEAD -======= [-87.8039, 32.5417], [-81.4362, 28.1251], [-83.5019, 35.689], [-66.8687, 17.9696], [-72.1727, 42.5369], [-149.2133, 63.8758], ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 + [-97.7823, 33.3785], + [-99.1139, 47.1591], + [-99.2531, 47.1298], + [-111.7979, 40.7839], + [-82.0177, 29.6878], + [-122.3303, 45.7624], + [-99.2413, 47.1282], + [-121.9519, 45.8205], + [-110.5391, 44.9535], + [-89.5373, 46.2339], + [-96.443, 38.9459], + [-122.1655, 44.2596], + [-149.143, 68.6698], + [-78.1473, 38.8943], [-89.7048, 45.9983], [-88.1589, 31.8534], [-149.6106, 68.6307], @@ -76,41 +65,8 @@ [-71.2874, 44.0639], [-78.0418, 39.0337], [-147.5026, 65.154], -<<<<<<< HEAD - [-81.9934, 29.6893], - [-155.3173, 19.5531], - [-105.546, 40.2759], - [-78.1395, 38.8929], - [-76.56, 38.8901], - [-119.7323, 37.1088], -======= [-78.1395, 38.8929], [-76.56, 38.8901], ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 - [-89.5373, 46.2339], - [-119.0274, 36.9559], - [-84.2793, 35.9574], - [-83.5038, 35.6904], - [-77.9832, 39.0956], - [-121.9338, 45.7908], - [-87.4077, 32.9604], -<<<<<<< HEAD - [-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], - [-96.443, 38.9459], - [-122.1655, 44.2596], - [-149.143, 68.6698], - [-78.1473, 38.8943], -======= ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 [-149.3705, 68.6611], [-89.5857, 45.4937], [-95.1921, 39.0404], @@ -119,53 +75,34 @@ [-66.7987, 18.1741], [-72.3295, 42.4719], [-96.6038, 39.1051], -<<<<<<< HEAD -======= - [-96.443, 38.9459], - [-122.1655, 44.2596], - [-149.143, 68.6698], - [-78.1473, 38.8943], ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 + [-119.0274, 36.9559], + [-84.2793, 35.9574], + [-83.5038, 35.6904], + [-77.9832, 39.0956], + [-121.9338, 45.7908], + [-87.4077, 32.9604], [-87.7982, 32.5415], [-147.504, 65.1532], [-105.5442, 40.035], [-89.4737, 46.2097], -<<<<<<< HEAD - [-111.5081, 33.751], - [-105.9154, 39.8914], - [-99.0588, 35.4106], - [-112.4524, 40.1776], - [-84.2826, 35.9641], -======= [-97.57, 33.4012], [-104.7456, 40.8155], [-99.1066, 47.1617], [-145.7514, 63.8811], [-111.5081, 33.751], [-105.9154, 39.8914], ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 + [-119.006, 37.0058], [-96.6242, 34.4442], [-102.4471, 39.7582], [-82.0084, 29.676], [-119.2575, 37.0597], - [-110.5871, 44.9501], - [-119.006, 37.0058], - [-97.57, 33.4012], - [-104.7456, 40.8155], - [-99.1066, 47.1617], - [-145.7514, 63.8811] + [-110.5871, 44.9501] ] }, "properties": { -<<<<<<< HEAD - "description": ["\nmodel info: Random walk from the fable package with ensembles used to represent uncertainty\n\nSites: PRIN, PRLA, PRPO, REDB, SUGG, ABBY, WOOD, WREF, YELL, SOAP, SRER, STEI, STER, TALL, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, LIRO, TOMB, TOOK, BARR, BART, BLAN, BONA, OSBS, PUUM, RMNP, SCBI, SERC, SJER, UNDE, TECR, WALK, LECO, LEWI, MART, MAYF, DELA, DSNY, GRSM, GUAN, HARV, HEAL, JERC, JORN, KONA, KONZ, MCDI, MCRA, OKSR, POSE, TOOL, TREE, UKFS, CUPE, FLNT, GUIL, HOPB, KING, BLWA, CARI, COMO, CRAM, SYCA, WLOU, OAES, ONAQ, ORNL, BLUE, ARIK, BARC, BIGC, BLDE, TEAK, CLBJ, CPER, DCFS, DEJU\n\nVariables: Daily Dissolved_oxygen, Daily Red_chromatic_coordinate, Daily Net_ecosystem_exchange, Daily Chlorophyll_a, Daily Green_chromatic_coordinate, Daily Water_temperature", "\nmodel info: NA\n\nSites: PRIN, PRLA, PRPO, REDB, SUGG, ABBY, WOOD, WREF, YELL, SOAP, SRER, STEI, STER, TALL, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, LIRO, TOMB, TOOK, BARR, BART, BLAN, BONA, OSBS, PUUM, RMNP, SCBI, SERC, SJER, UNDE, TECR, WALK, LECO, LEWI, MART, MAYF, DELA, DSNY, GRSM, GUAN, HARV, HEAL, JERC, JORN, KONA, KONZ, MCDI, MCRA, OKSR, POSE, TOOL, TREE, UKFS, CUPE, FLNT, GUIL, HOPB, KING, BLWA, CARI, COMO, CRAM, SYCA, WLOU, OAES, ONAQ, ORNL, BLUE, ARIK, BARC, BIGC, BLDE, TEAK, CLBJ, CPER, DCFS, DEJU\n\nVariables: Daily Dissolved_oxygen, Daily Red_chromatic_coordinate, Daily Net_ecosystem_exchange, Daily Chlorophyll_a, Daily Green_chromatic_coordinate, Daily Water_temperature"], + "description": ["\nmodel info: Random walk from the fable package with ensembles used to represent uncertainty\n\nSites: OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, JERC, JORN, KONA, KONZ, LAJA, LENO, SJER, SOAP, SRER, STEI, STER, TALL, MLBS, MOAB, NIWO, NOGP, DELA, DSNY, GRSM, GUAN, HARV, HEAL, PRIN, PRLA, PRPO, REDB, SUGG, ABBY, WOOD, WREF, YELL, UNDE, MCDI, MCRA, OKSR, POSE, LIRO, TOMB, TOOK, BARR, BART, BLAN, BONA, SCBI, SERC, TOOL, TREE, UKFS, CUPE, FLNT, GUIL, HOPB, KING, TECR, WALK, LECO, LEWI, MART, MAYF, BLWA, CARI, COMO, CRAM, CLBJ, CPER, DCFS, DEJU, SYCA, WLOU, TEAK, BLUE, ARIK, BARC, BIGC, BLDE\n\nVariables: Daily Red_chromatic_coordinate, Daily Net_ecosystem_exchange, Daily Green_chromatic_coordinate, Daily Dissolved_oxygen, Daily Water_temperature, Daily Chlorophyll_a", "\nmodel info: NA\n\nSites: OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, JERC, JORN, KONA, KONZ, LAJA, LENO, SJER, SOAP, SRER, STEI, STER, TALL, MLBS, MOAB, NIWO, NOGP, DELA, DSNY, GRSM, GUAN, HARV, HEAL, PRIN, PRLA, PRPO, REDB, SUGG, ABBY, WOOD, WREF, YELL, UNDE, MCDI, MCRA, OKSR, POSE, LIRO, TOMB, TOOK, BARR, BART, BLAN, BONA, SCBI, SERC, TOOL, TREE, UKFS, CUPE, FLNT, GUIL, HOPB, KING, TECR, WALK, LECO, LEWI, MART, MAYF, BLWA, CARI, COMO, CRAM, CLBJ, CPER, DCFS, DEJU, SYCA, WLOU, TEAK, BLUE, ARIK, BARC, BIGC, BLDE\n\nVariables: Daily Red_chromatic_coordinate, Daily Net_ecosystem_exchange, Daily Green_chromatic_coordinate, Daily Dissolved_oxygen, Daily Water_temperature, Daily Chlorophyll_a"], "start_datetime": "2023-11-15", "end_datetime": "2024-01-09", -======= - "description": ["\nmodel info: Random walk from the fable package with ensembles used to represent uncertainty\n\nSites: OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, JERC, JORN, KONA, KONZ, LAJA, LENO, SJER, SOAP, SRER, STEI, STER, TALL, PRIN, PRLA, PRPO, REDB, SUGG, ABBY, WOOD, WREF, YELL, MLBS, MOAB, NIWO, NOGP, DELA, DSNY, GRSM, GUAN, HARV, HEAL, LIRO, TOMB, TOOK, BARR, BART, BLAN, BONA, SCBI, SERC, UNDE, TECR, WALK, LECO, LEWI, MART, MAYF, TOOL, TREE, UKFS, CUPE, FLNT, GUIL, HOPB, KING, MCDI, MCRA, OKSR, POSE, BLWA, CARI, COMO, CRAM, CLBJ, CPER, DCFS, DEJU, SYCA, WLOU, BLUE, ARIK, BARC, BIGC, BLDE, TEAK\n\nVariables: Daily Red_chromatic_coordinate, Daily Net_ecosystem_exchange, Daily Dissolved_oxygen, Daily Green_chromatic_coordinate, Daily Chlorophyll_a, Daily Water_temperature", "\nmodel info: NA\n\nSites: OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, JERC, JORN, KONA, KONZ, LAJA, LENO, SJER, SOAP, SRER, STEI, STER, TALL, PRIN, PRLA, PRPO, REDB, SUGG, ABBY, WOOD, WREF, YELL, MLBS, MOAB, NIWO, NOGP, DELA, DSNY, GRSM, GUAN, HARV, HEAL, LIRO, TOMB, TOOK, BARR, BART, BLAN, BONA, SCBI, SERC, UNDE, TECR, WALK, LECO, LEWI, MART, MAYF, TOOL, TREE, UKFS, CUPE, FLNT, GUIL, HOPB, KING, MCDI, MCRA, OKSR, POSE, BLWA, CARI, COMO, CRAM, CLBJ, CPER, DCFS, DEJU, SYCA, WLOU, BLUE, ARIK, BARC, BIGC, BLDE, TEAK\n\nVariables: Daily Red_chromatic_coordinate, Daily Net_ecosystem_exchange, Daily Dissolved_oxygen, Daily Green_chromatic_coordinate, Daily Chlorophyll_a, Daily Water_temperature"], - "start_datetime": "2023-11-15", - "end_datetime": "2024-01-08", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", @@ -188,20 +125,12 @@ "keywords": [ "Forecasting", "neon4cast", -<<<<<<< HEAD - "Daily Dissolved_oxygen", "Daily Red_chromatic_coordinate", "Daily Net_ecosystem_exchange", - "Daily Chlorophyll_a", "Daily Green_chromatic_coordinate", -======= - "Daily Red_chromatic_coordinate", - "Daily Net_ecosystem_exchange", "Daily Dissolved_oxygen", - "Daily Green_chromatic_coordinate", - "Daily Chlorophyll_a", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 - "Daily Water_temperature" + "Daily Water_temperature", + "Daily Chlorophyll_a" ], "table:columns": [ { @@ -354,17 +283,6 @@ }, "3": { "type": "application/x-parquet", -<<<<<<< HEAD - "title": "Database Access for Daily Dissolved_oxygen", - "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=oxygen/model_id=persistenceRW?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=oxygen/model_id=persistenceRW?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" - }, - "4": { - "type": "application/x-parquet", - "title": "Database Access for Daily Red_chromatic_coordinate", - "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=rcc_90/model_id=persistenceRW?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=rcc_90/model_id=persistenceRW?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" -======= "title": "Database Access for Daily Red_chromatic_coordinate", "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=rcc_90/model_id=persistenceRW?endpoint_override=sdsc.osn.xsede.org", "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=rcc_90/model_id=persistenceRW?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" @@ -377,40 +295,27 @@ }, "5": { "type": "application/x-parquet", - "title": "Database Access for Daily Dissolved_oxygen", - "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=oxygen/model_id=persistenceRW?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=oxygen/model_id=persistenceRW?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 - }, - "5": { - "type": "application/x-parquet", -<<<<<<< HEAD - "title": "Database Access for Daily Net_ecosystem_exchange", - "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/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/scores/parquet/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" -======= "title": "Database Access for Daily Green_chromatic_coordinate", "href": "s3://anonymous@bio230014-bucket01/challenges/scores/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/scores/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" ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 }, "6": { "type": "application/x-parquet", - "title": "Database Access for Daily Chlorophyll_a", - "href": "s3://anonymous@bio230014-bucket01/challenges/scores/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/scores/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" + "title": "Database Access for Daily Dissolved_oxygen", + "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=oxygen/model_id=persistenceRW?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=oxygen/model_id=persistenceRW?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, "7": { - "type": "application/x-parquet", - "title": "Database Access for Daily Green_chromatic_coordinate", - "href": "s3://anonymous@bio230014-bucket01/challenges/scores/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/scores/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" - }, - "8": { "type": "application/x-parquet", "title": "Database Access for Daily Water_temperature", "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/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/scores/parquet/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" + }, + "8": { + "type": "application/x-parquet", + "title": "Database Access for Daily Chlorophyll_a", + "href": "s3://anonymous@bio230014-bucket01/challenges/scores/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/scores/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" } } } diff --git a/catalog/scores/models/model_items/procBlanchardMonod.json b/catalog/scores/models/model_items/procBlanchardMonod.json index 8804cdcbd4..66c9add1f2 100644 --- a/catalog/scores/models/model_items/procBlanchardMonod.json +++ b/catalog/scores/models/model_items/procBlanchardMonod.json @@ -28,11 +28,7 @@ "properties": { "description": "\nmodel info: NA\n\nSites: BARC, CRAM, LIRO, PRLA, PRPO, SUGG, TOOK\n\nVariables: Daily Chlorophyll_a", "start_datetime": "2023-11-13", -<<<<<<< HEAD "end_datetime": "2024-01-04", -======= - "end_datetime": "2024-01-03", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/scores/models/model_items/procBlanchardSteele.json b/catalog/scores/models/model_items/procBlanchardSteele.json index d75e28876b..91232c1fe5 100644 --- a/catalog/scores/models/model_items/procBlanchardSteele.json +++ b/catalog/scores/models/model_items/procBlanchardSteele.json @@ -28,11 +28,7 @@ "properties": { "description": [], "start_datetime": "2023-11-13", -<<<<<<< HEAD "end_datetime": "2024-01-04", -======= - "end_datetime": "2024-01-03", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/scores/models/model_items/procCTMIMonod.json b/catalog/scores/models/model_items/procCTMIMonod.json index ff91f0e7e7..273b8e85cd 100644 --- a/catalog/scores/models/model_items/procCTMIMonod.json +++ b/catalog/scores/models/model_items/procCTMIMonod.json @@ -28,11 +28,7 @@ "properties": { "description": "\nmodel info: NA\n\nSites: BARC, CRAM, LIRO, PRLA, PRPO, SUGG, TOOK\n\nVariables: Daily Chlorophyll_a", "start_datetime": "2023-11-13", -<<<<<<< HEAD "end_datetime": "2024-01-04", -======= - "end_datetime": "2024-01-03", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/scores/models/model_items/procCTMISteele.json b/catalog/scores/models/model_items/procCTMISteele.json index 4d610899be..1a94c7db5f 100644 --- a/catalog/scores/models/model_items/procCTMISteele.json +++ b/catalog/scores/models/model_items/procCTMISteele.json @@ -28,11 +28,7 @@ "properties": { "description": [], "start_datetime": "2023-11-13", -<<<<<<< HEAD "end_datetime": "2024-01-04", -======= - "end_datetime": "2024-01-03", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/scores/models/model_items/procEppleyNorbergMonod.json b/catalog/scores/models/model_items/procEppleyNorbergMonod.json index 3ee1d26dcb..2b5db50fb9 100644 --- a/catalog/scores/models/model_items/procEppleyNorbergMonod.json +++ b/catalog/scores/models/model_items/procEppleyNorbergMonod.json @@ -28,11 +28,7 @@ "properties": { "description": "\nmodel info: NA\n\nSites: BARC, CRAM, LIRO, PRLA, PRPO, SUGG, TOOK\n\nVariables: Daily Chlorophyll_a", "start_datetime": "2023-11-13", -<<<<<<< HEAD "end_datetime": "2024-01-04", -======= - "end_datetime": "2024-01-03", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/scores/models/model_items/procEppleyNorbergSteele.json b/catalog/scores/models/model_items/procEppleyNorbergSteele.json index ce0a6f6fa7..e8b365cee3 100644 --- a/catalog/scores/models/model_items/procEppleyNorbergSteele.json +++ b/catalog/scores/models/model_items/procEppleyNorbergSteele.json @@ -28,11 +28,7 @@ "properties": { "description": "\nmodel info: NA\n\nSites: BARC, CRAM, LIRO, PRLA, PRPO, SUGG, TOOK\n\nVariables: Daily Chlorophyll_a", "start_datetime": "2023-11-13", -<<<<<<< HEAD "end_datetime": "2024-01-04", -======= - "end_datetime": "2024-01-03", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/scores/models/model_items/procHinshelwoodMonod.json b/catalog/scores/models/model_items/procHinshelwoodMonod.json index d00885e882..193df7fecc 100644 --- a/catalog/scores/models/model_items/procHinshelwoodMonod.json +++ b/catalog/scores/models/model_items/procHinshelwoodMonod.json @@ -28,11 +28,7 @@ "properties": { "description": "\nmodel info: NA\n\nSites: BARC, CRAM, LIRO, PRLA, PRPO, SUGG, TOOK\n\nVariables: Daily Chlorophyll_a", "start_datetime": "2023-11-13", -<<<<<<< HEAD "end_datetime": "2024-01-04", -======= - "end_datetime": "2024-01-03", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/scores/models/model_items/procHinshelwoodSteele.json b/catalog/scores/models/model_items/procHinshelwoodSteele.json index f0f3fe48d9..48d23ae039 100644 --- a/catalog/scores/models/model_items/procHinshelwoodSteele.json +++ b/catalog/scores/models/model_items/procHinshelwoodSteele.json @@ -28,11 +28,7 @@ "properties": { "description": "\nmodel info: NA\n\nSites: BARC, CRAM, LIRO, PRLA, PRPO, SUGG, TOOK\n\nVariables: Daily Chlorophyll_a", "start_datetime": "2023-11-13", -<<<<<<< HEAD "end_datetime": "2024-01-04", -======= - "end_datetime": "2024-01-03", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/scores/models/model_items/prophet_clim_ensemble.json b/catalog/scores/models/model_items/prophet_clim_ensemble.json index 500541c57f..c314e84e1b 100644 --- a/catalog/scores/models/model_items/prophet_clim_ensemble.json +++ b/catalog/scores/models/model_items/prophet_clim_ensemble.json @@ -63,11 +63,7 @@ "properties": { "description": [], "start_datetime": "2023-11-13", -<<<<<<< HEAD "end_datetime": "2024-01-04", -======= - "end_datetime": "2024-01-03", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/scores/models/model_items/randfor.json b/catalog/scores/models/model_items/randfor.json index 589879c2bd..5385e86a76 100644 --- a/catalog/scores/models/model_items/randfor.json +++ b/catalog/scores/models/model_items/randfor.json @@ -68,11 +68,7 @@ "properties": { "description": [], "start_datetime": "2023-11-14", -<<<<<<< HEAD "end_datetime": "2024-01-08", -======= - "end_datetime": "2024-01-07", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/scores/models/model_items/tg_arima.json b/catalog/scores/models/model_items/tg_arima.json index a0104d3898..873fb8be62 100644 --- a/catalog/scores/models/model_items/tg_arima.json +++ b/catalog/scores/models/model_items/tg_arima.json @@ -16,43 +16,6 @@ "geometry": { "type": "MultiPoint", "coordinates": [ -<<<<<<< HEAD - [-102.4471, 39.7582], - [-82.0084, 29.676], - [-119.2575, 37.0597], - [-110.5871, 44.9501], - [-96.6242, 34.4442], - [-87.7982, 32.5415], - [-147.504, 65.1532], - [-105.5442, 40.035], - [-89.4737, 46.2097], - [-66.9868, 18.1135], - [-84.4374, 31.1854], - [-66.7987, 18.1741], - [-72.3295, 42.4719], - [-96.6038, 39.1051], - [-83.5038, 35.6904], - [-77.9832, 39.0956], - [-89.7048, 45.9983], - [-121.9338, 45.7908], - [-87.4077, 32.9604], - [-96.443, 38.9459], - [-122.1655, 44.2596], - [-149.143, 68.6698], - [-78.1473, 38.8943], - [-97.7823, 33.3785], - [-99.1139, 47.1591], - [-99.2531, 47.1298], - [-111.7979, 40.7839], - [-82.0177, 29.6878], - [-111.5081, 33.751], - [-119.0274, 36.9559], - [-88.1589, 31.8534], - [-149.6106, 68.6307], - [-84.2793, 35.9574], - [-105.9154, 39.8914], -======= ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 [-122.3303, 45.7624], [-156.6194, 71.2824], [-71.2874, 44.0639], @@ -99,13 +62,6 @@ [-89.5373, 46.2339], [-99.2413, 47.1282], [-121.9519, 45.8205], -<<<<<<< HEAD - [-110.5391, 44.9535] - ] - }, - "properties": { - "description": "\nmodel info: NA\n\nSites: ARIK, BARC, BIGC, BLDE, BLUE, BLWA, CARI, COMO, CRAM, CUPE, FLNT, GUIL, HOPB, KING, LECO, LEWI, LIRO, MART, MAYF, MCDI, MCRA, OKSR, POSE, PRIN, PRLA, PRPO, REDB, SUGG, SYCA, TECR, TOMB, TOOK, WALK, WLOU, 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\n\nVariables: Daily Dissolved_oxygen, Daily Red_chromatic_coordinate, Daily Net_ecosystem_exchange, Daily Chlorophyll_a, Daily Green_chromatic_coordinate, Daily latent_heat_flux, Daily Water_temperature, Weekly beetle_community_abundance, Weekly beetle_community_richness, Weekly Amblyomma_americanum_population", -======= [-110.5391, 44.9535], [-96.6038, 39.1051], [-83.5038, 35.6904], @@ -144,8 +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, KING, LECO, LEWI, LIRO, MART, MAYF, MCDI, MCRA, OKSR, POSE, PRIN, PRLA, PRPO, REDB, SUGG, SYCA, TECR, TOMB, TOOK, WALK, WLOU, ARIK, BARC, BIGC, BLDE, BLUE, BLWA, CARI, COMO, CRAM, CUPE, FLNT, GUIL, HOPB\n\nVariables: Daily Red_chromatic_coordinate, Daily latent_heat_flux, Daily Net_ecosystem_exchange, Daily Dissolved_oxygen, Daily Chlorophyll_a, Daily Green_chromatic_coordinate, Daily Water_temperature, Weekly beetle_community_abundance, Weekly beetle_community_richness, Weekly Amblyomma_americanum_population", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 + "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, KING, LECO, LEWI, LIRO, MART, MAYF, MCDI, MCRA, OKSR, POSE, PRIN, PRLA, PRPO, REDB, SUGG, SYCA, TECR, TOMB, TOOK, WALK, WLOU, ARIK, BARC, BIGC, BLDE, BLUE, BLWA, CARI, COMO, CRAM, CUPE, FLNT, GUIL, HOPB\n\nVariables: Daily Red_chromatic_coordinate, Daily Dissolved_oxygen, Daily latent_heat_flux, Daily Net_ecosystem_exchange, Daily Chlorophyll_a, Daily Green_chromatic_coordinate, Daily Water_temperature, Weekly beetle_community_abundance, Weekly beetle_community_richness, Weekly Amblyomma_americanum_population", "start_datetime": "2023-01-01", "end_datetime": "2024-11-25", "providers": [ @@ -170,21 +125,12 @@ "keywords": [ "Forecasting", "neon4cast", -<<<<<<< HEAD - "Daily Dissolved_oxygen", - "Daily Red_chromatic_coordinate", - "Daily Net_ecosystem_exchange", - "Daily Chlorophyll_a", - "Daily Green_chromatic_coordinate", - "Daily latent_heat_flux", -======= "Daily Red_chromatic_coordinate", + "Daily Dissolved_oxygen", "Daily latent_heat_flux", "Daily Net_ecosystem_exchange", - "Daily Dissolved_oxygen", "Daily Chlorophyll_a", "Daily Green_chromatic_coordinate", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "Daily Water_temperature", "Weekly beetle_community_abundance", "Weekly beetle_community_richness", @@ -341,68 +287,39 @@ }, "3": { "type": "application/x-parquet", -<<<<<<< HEAD - "title": "Database Access for Daily Dissolved_oxygen", - "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=oxygen/model_id=tg_arima?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/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" - }, - "4": { - "type": "application/x-parquet", - "title": "Database Access for Daily Red_chromatic_coordinate", - "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/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/scores/parquet/duration=P1D/variable=rcc_90/model_id=tg_arima?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" -======= "title": "Database Access for Daily Red_chromatic_coordinate", "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/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/scores/parquet/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" }, "4": { + "type": "application/x-parquet", + "title": "Database Access for Daily Dissolved_oxygen", + "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=oxygen/model_id=tg_arima?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/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" + }, + "5": { "type": "application/x-parquet", "title": "Database Access for Daily latent_heat_flux", "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/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/scores/parquet/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" ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 }, - "5": { + "6": { "type": "application/x-parquet", "title": "Database Access for Daily Net_ecosystem_exchange", "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=nee/model_id=tg_arima?endpoint_override=sdsc.osn.xsede.org", "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=nee/model_id=tg_arima?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, - "6": { - "type": "application/x-parquet", -<<<<<<< HEAD -======= - "title": "Database Access for Daily Dissolved_oxygen", - "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=oxygen/model_id=tg_arima?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/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" - }, "7": { "type": "application/x-parquet", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "title": "Database Access for Daily Chlorophyll_a", "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=chla/model_id=tg_arima?endpoint_override=sdsc.osn.xsede.org", "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=chla/model_id=tg_arima?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, -<<<<<<< HEAD - "7": { - "type": "application/x-parquet", - "title": "Database Access for Daily Green_chromatic_coordinate", - "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/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/scores/parquet/duration=P1D/variable=gcc_90/model_id=tg_arima?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" - }, - "8": { - "type": "application/x-parquet", - "title": "Database Access for Daily latent_heat_flux", - "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/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/scores/parquet/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" -======= "8": { "type": "application/x-parquet", "title": "Database Access for Daily Green_chromatic_coordinate", "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/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/scores/parquet/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" ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 }, "9": { "type": "application/x-parquet", diff --git a/catalog/scores/models/model_items/tg_bag_mlp.json b/catalog/scores/models/model_items/tg_bag_mlp.json index fed21b99db..5bcfd8cab9 100644 --- a/catalog/scores/models/model_items/tg_bag_mlp.json +++ b/catalog/scores/models/model_items/tg_bag_mlp.json @@ -16,22 +16,36 @@ "geometry": { "type": "MultiPoint", "coordinates": [ - [-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], - [-99.2413, 47.1282], - [-121.9519, 45.8205], - [-110.5391, 44.9535], + [-102.4471, 39.7582], + [-82.0084, 29.676], + [-119.2575, 37.0597], + [-110.5871, 44.9501], + [-96.6242, 34.4442], + [-87.7982, 32.5415], + [-147.504, 65.1532], + [-105.5442, 40.035], + [-89.4737, 46.2097], + [-66.9868, 18.1135], + [-84.4374, 31.1854], + [-66.7987, 18.1741], + [-72.3295, 42.4719], + [-96.6038, 39.1051], + [-83.5038, 35.6904], + [-77.9832, 39.0956], + [-89.7048, 45.9983], + [-121.9338, 45.7908], + [-87.4077, 32.9604], + [-96.443, 38.9459], + [-122.1655, 44.2596], + [-149.143, 68.6698], + [-78.1473, 38.8943], + [-97.7823, 33.3785], + [-99.1139, 47.1591], + [-99.2531, 47.1298], + [-111.7979, 40.7839], + [-82.0177, 29.6878], + [-111.5081, 33.751], + [-119.0274, 36.9559], [-122.3303, 45.7624], [-156.6194, 71.2824], [-71.2874, 44.0639], @@ -63,36 +77,22 @@ [-81.9934, 29.6893], [-155.3173, 19.5531], [-105.546, 40.2759], - [-102.4471, 39.7582], - [-82.0084, 29.676], - [-119.2575, 37.0597], - [-110.5871, 44.9501], - [-96.6242, 34.4442], - [-87.7982, 32.5415], - [-147.504, 65.1532], - [-105.5442, 40.035], - [-89.4737, 46.2097], - [-66.9868, 18.1135], - [-84.4374, 31.1854], - [-66.7987, 18.1741], - [-72.3295, 42.4719], - [-96.6038, 39.1051], - [-83.5038, 35.6904], - [-77.9832, 39.0956], - [-89.7048, 45.9983], - [-121.9338, 45.7908], - [-87.4077, 32.9604], - [-96.443, 38.9459], - [-122.1655, 44.2596], - [-149.143, 68.6698], - [-78.1473, 38.8943], - [-97.7823, 33.3785], - [-99.1139, 47.1591], - [-99.2531, 47.1298], - [-111.7979, 40.7839], - [-82.0177, 29.6878], - [-111.5081, 33.751], - [-119.0274, 36.9559], + [-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], + [-99.2413, 47.1282], + [-121.9519, 45.8205], + [-110.5391, 44.9535], [-88.1589, 31.8534], [-149.6106, 68.6307], [-84.2793, 35.9574], @@ -102,11 +102,7 @@ "properties": { "description": [], "start_datetime": "2023-11-14", -<<<<<<< HEAD "end_datetime": "2024-01-08", -======= - "end_datetime": "2024-01-07", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", @@ -129,17 +125,11 @@ "keywords": [ "Forecasting", "neon4cast", + "Daily Dissolved_oxygen", "Daily Net_ecosystem_exchange", -<<<<<<< HEAD "Daily Green_chromatic_coordinate", - "Daily Dissolved_oxygen", "Daily Chlorophyll_a", -======= - "Daily Dissolved_oxygen", - "Daily Green_chromatic_coordinate", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "Daily Red_chromatic_coordinate", - "Daily Chlorophyll_a", "Daily Water_temperature", "Daily latent_heat_flux" ], @@ -293,47 +283,35 @@ "description": "The link to the model code provided by the model submission team" }, "3": { - "type": "application/x-parquet", - "title": "Database Access for Daily Net_ecosystem_exchange", - "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=nee/model_id=tg_bag_mlp?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=nee/model_id=tg_bag_mlp?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" -<<<<<<< HEAD - }, - "4": { - "type": "application/x-parquet", - "title": "Database Access for Daily Green_chromatic_coordinate", - "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/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/scores/parquet/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" -======= ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 - }, - "5": { "type": "application/x-parquet", "title": "Database Access for Daily Dissolved_oxygen", "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=oxygen/model_id=tg_bag_mlp?endpoint_override=sdsc.osn.xsede.org", "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=oxygen/model_id=tg_bag_mlp?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, -<<<<<<< HEAD -======= + "4": { + "type": "application/x-parquet", + "title": "Database Access for Daily Net_ecosystem_exchange", + "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=nee/model_id=tg_bag_mlp?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=nee/model_id=tg_bag_mlp?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + }, "5": { "type": "application/x-parquet", "title": "Database Access for Daily Green_chromatic_coordinate", "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/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/scores/parquet/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" }, ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "6": { - "type": "application/x-parquet", - "title": "Database Access for Daily Red_chromatic_coordinate", - "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=rcc_90/model_id=tg_bag_mlp?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=rcc_90/model_id=tg_bag_mlp?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" - }, - "7": { "type": "application/x-parquet", "title": "Database Access for Daily Chlorophyll_a", "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/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/scores/parquet/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" }, + "7": { + "type": "application/x-parquet", + "title": "Database Access for Daily Red_chromatic_coordinate", + "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=rcc_90/model_id=tg_bag_mlp?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=rcc_90/model_id=tg_bag_mlp?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + }, "8": { "type": "application/x-parquet", "title": "Database Access for Daily Water_temperature", diff --git a/catalog/scores/models/model_items/tg_ets.json b/catalog/scores/models/model_items/tg_ets.json index 2173bc5bd0..a2c0704a0a 100644 --- a/catalog/scores/models/model_items/tg_ets.json +++ b/catalog/scores/models/model_items/tg_ets.json @@ -16,26 +16,6 @@ "geometry": { "type": "MultiPoint", "coordinates": [ -<<<<<<< HEAD - [-102.4471, 39.7582], - [-82.0084, 29.676], - [-119.2575, 37.0597], - [-110.5871, 44.9501], - [-96.6242, 34.4442], - [-87.7982, 32.5415], - [-147.504, 65.1532], - [-105.5442, 40.035], - [-89.4737, 46.2097], - [-66.9868, 18.1135], - [-84.4374, 31.1854], - [-66.7987, 18.1741], - [-72.3295, 42.4719], - [-96.6038, 39.1051], - [-83.5038, 35.6904], - [-77.9832, 39.0956], - [-89.7048, 45.9983], -======= ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 [-121.9338, 45.7908], [-87.4077, 32.9604], [-96.443, 38.9459], @@ -53,8 +33,6 @@ [-149.6106, 68.6307], [-84.2793, 35.9574], [-105.9154, 39.8914], -<<<<<<< HEAD -======= [-102.4471, 39.7582], [-82.0084, 29.676], [-119.2575, 37.0597], @@ -72,7 +50,6 @@ [-83.5038, 35.6904], [-77.9832, 39.0956], [-89.7048, 45.9983], ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 [-122.3303, 45.7624], [-156.6194, 71.2824], [-71.2874, 44.0639], @@ -123,11 +100,7 @@ ] }, "properties": { -<<<<<<< HEAD - "description": "\nmodel info: NA\n\nSites: ARIK, BARC, BIGC, BLDE, BLUE, BLWA, CARI, COMO, CRAM, CUPE, FLNT, GUIL, HOPB, KING, LECO, LEWI, LIRO, MART, MAYF, MCDI, MCRA, OKSR, POSE, PRIN, PRLA, PRPO, REDB, SUGG, SYCA, TECR, TOMB, TOOK, WALK, WLOU, 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\n\nVariables: Daily Dissolved_oxygen, Daily Red_chromatic_coordinate, Daily Net_ecosystem_exchange, Daily Chlorophyll_a, Daily Green_chromatic_coordinate, Daily latent_heat_flux, Daily Water_temperature, Weekly beetle_community_abundance, Weekly Amblyomma_americanum_population, Weekly beetle_community_richness", -======= - "description": "\nmodel info: NA\n\nSites: MART, MAYF, MCDI, MCRA, OKSR, POSE, PRIN, PRLA, PRPO, REDB, SUGG, SYCA, TECR, TOMB, TOOK, WALK, WLOU, ARIK, BARC, BIGC, BLDE, BLUE, BLWA, CARI, COMO, CRAM, CUPE, FLNT, GUIL, HOPB, KING, LECO, LEWI, LIRO, 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\n\nVariables: Daily Dissolved_oxygen, Daily Red_chromatic_coordinate, Daily latent_heat_flux, Daily Net_ecosystem_exchange, Daily Chlorophyll_a, Daily Green_chromatic_coordinate, Daily Water_temperature, Weekly beetle_community_abundance, Weekly Amblyomma_americanum_population, Weekly beetle_community_richness", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 + "description": "\nmodel info: NA\n\nSites: MART, MAYF, MCDI, MCRA, OKSR, POSE, PRIN, PRLA, PRPO, REDB, SUGG, SYCA, TECR, TOMB, TOOK, WALK, WLOU, ARIK, BARC, BIGC, BLDE, BLUE, BLWA, CARI, COMO, CRAM, CUPE, FLNT, GUIL, HOPB, KING, LECO, LEWI, LIRO, 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\n\nVariables: Daily Dissolved_oxygen, Daily Red_chromatic_coordinate, Daily Net_ecosystem_exchange, Daily latent_heat_flux, Daily Chlorophyll_a, Daily Green_chromatic_coordinate, Daily Water_temperature, Weekly beetle_community_abundance, Weekly Amblyomma_americanum_population, Weekly beetle_community_richness", "start_datetime": "2023-01-01", "end_datetime": "2024-11-25", "providers": [ @@ -154,17 +127,10 @@ "neon4cast", "Daily Dissolved_oxygen", "Daily Red_chromatic_coordinate", -<<<<<<< HEAD "Daily Net_ecosystem_exchange", - "Daily Chlorophyll_a", - "Daily Green_chromatic_coordinate", - "Daily latent_heat_flux", -======= "Daily latent_heat_flux", - "Daily Net_ecosystem_exchange", "Daily Chlorophyll_a", "Daily Green_chromatic_coordinate", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "Daily Water_temperature", "Weekly beetle_community_abundance", "Weekly Amblyomma_americanum_population", @@ -324,7 +290,6 @@ "title": "Database Access for Daily Dissolved_oxygen", "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=oxygen/model_id=tg_ets?endpoint_override=sdsc.osn.xsede.org", "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=oxygen/model_id=tg_ets?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" -<<<<<<< HEAD }, "4": { "type": "application/x-parquet", @@ -339,39 +304,11 @@ "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=nee/model_id=tg_ets?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, "6": { - "type": "application/x-parquet", - "title": "Database Access for Daily Chlorophyll_a", - "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/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/scores/parquet/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" -======= ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 - }, - "4": { - "type": "application/x-parquet", - "title": "Database Access for Daily Red_chromatic_coordinate", - "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/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/scores/parquet/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" - }, - "5": { - "type": "application/x-parquet", - "title": "Database Access for Daily Green_chromatic_coordinate", - "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/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/scores/parquet/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" - }, - "8": { "type": "application/x-parquet", "title": "Database Access for Daily latent_heat_flux", "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/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/scores/parquet/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" }, -<<<<<<< HEAD -======= - "6": { - "type": "application/x-parquet", - "title": "Database Access for Daily Net_ecosystem_exchange", - "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=nee/model_id=tg_ets?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=nee/model_id=tg_ets?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" - }, "7": { "type": "application/x-parquet", "title": "Database Access for Daily Chlorophyll_a", @@ -384,7 +321,6 @@ "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/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/scores/parquet/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" }, ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "9": { "type": "application/x-parquet", "title": "Database Access for Daily Water_temperature", diff --git a/catalog/scores/models/model_items/tg_humidity_lm.json b/catalog/scores/models/model_items/tg_humidity_lm.json index c72fe82c4f..b5e7ac4a06 100644 --- a/catalog/scores/models/model_items/tg_humidity_lm.json +++ b/catalog/scores/models/model_items/tg_humidity_lm.json @@ -16,18 +16,6 @@ "geometry": { "type": "MultiPoint", "coordinates": [ -<<<<<<< HEAD - [-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], @@ -44,7 +32,6 @@ [-99.2413, 47.1282], [-121.9519, 45.8205], [-110.5391, 44.9535], ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 [-122.3303, 45.7624], [-156.6194, 71.2824], [-71.2874, 44.0639], @@ -76,9 +63,6 @@ [-81.9934, 29.6893], [-155.3173, 19.5531], [-105.546, 40.2759], -<<<<<<< HEAD - [-78.1395, 38.8929], -======= [-82.0084, 29.676], [-87.7982, 32.5415], [-89.4737, 46.2097], @@ -89,29 +73,10 @@ [-82.0177, 29.6878], [-88.1589, 31.8534], [-149.6106, 68.6307], ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 [-111.5081, 33.751], [-119.0274, 36.9559], [-84.2793, 35.9574], [-105.9154, 39.8914], -<<<<<<< HEAD - [-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], - [-99.2413, 47.1282], - [-121.9519, 45.8205], - [-110.5391, 44.9535], -======= ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 [-102.4471, 39.7582], [-119.2575, 37.0597], [-110.5871, 44.9501], @@ -135,15 +100,9 @@ ] }, "properties": { -<<<<<<< HEAD - "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, SYCA, TECR, WALK, WLOU, 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\n\nVariables: Daily Chlorophyll_a, Daily Green_chromatic_coordinate, Daily Dissolved_oxygen, Daily Net_ecosystem_exchange, Daily latent_heat_flux, Daily Red_chromatic_coordinate, Daily Water_temperature, Weekly beetle_community_abundance, Weekly beetle_community_richness, Weekly Amblyomma_americanum_population", + "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, 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 Net_ecosystem_exchange, Daily Green_chromatic_coordinate, Daily latent_heat_flux, Daily Chlorophyll_a, Daily Red_chromatic_coordinate, Daily Dissolved_oxygen, Daily Water_temperature, Weekly beetle_community_abundance, Weekly beetle_community_richness, Weekly Amblyomma_americanum_population", "start_datetime": "2023-11-14", "end_datetime": "2024-01-09", -======= - "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, 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 Net_ecosystem_exchange, Daily Green_chromatic_coordinate, Daily latent_heat_flux, Daily Chlorophyll_a, Daily Dissolved_oxygen, Daily Red_chromatic_coordinate, Daily Water_temperature, Weekly beetle_community_abundance, Weekly beetle_community_richness, Weekly Amblyomma_americanum_population", - "start_datetime": "2023-11-14", - "end_datetime": "2024-01-08", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", @@ -166,21 +125,12 @@ "keywords": [ "Forecasting", "neon4cast", -<<<<<<< HEAD - "Daily Chlorophyll_a", - "Daily Green_chromatic_coordinate", - "Daily Dissolved_oxygen", -======= ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "Daily Net_ecosystem_exchange", "Daily Green_chromatic_coordinate", "Daily latent_heat_flux", -<<<<<<< HEAD -======= "Daily Chlorophyll_a", - "Daily Dissolved_oxygen", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "Daily Red_chromatic_coordinate", + "Daily Dissolved_oxygen", "Daily Water_temperature", "Weekly beetle_community_abundance", "Weekly beetle_community_richness", @@ -337,34 +287,10 @@ }, "3": { "type": "application/x-parquet", -<<<<<<< HEAD - "title": "Database Access for Daily Chlorophyll_a", - "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=chla/model_id=tg_humidity_lm?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=chla/model_id=tg_humidity_lm?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" - }, - "4": { - "type": "application/x-parquet", - "title": "Database Access for Daily Green_chromatic_coordinate", - "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=gcc_90/model_id=tg_humidity_lm?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/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 Dissolved_oxygen", - "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/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/scores/parquet/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" - }, - "6": { - "type": "application/x-parquet", -======= ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "title": "Database Access for Daily Net_ecosystem_exchange", "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/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/scores/parquet/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" }, -<<<<<<< HEAD - "7": { -======= "4": { "type": "application/x-parquet", "title": "Database Access for Daily Green_chromatic_coordinate", @@ -372,33 +298,29 @@ "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/scores/parquet/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": { ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "type": "application/x-parquet", "title": "Database Access for Daily latent_heat_flux", "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/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/scores/parquet/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" }, - "8": { + "6": { "type": "application/x-parquet", -<<<<<<< HEAD -======= "title": "Database Access for Daily Chlorophyll_a", "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=chla/model_id=tg_humidity_lm?endpoint_override=sdsc.osn.xsede.org", "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=chla/model_id=tg_humidity_lm?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, "7": { "type": "application/x-parquet", - "title": "Database Access for Daily Dissolved_oxygen", - "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/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/scores/parquet/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" - }, - "8": { - "type": "application/x-parquet", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "title": "Database Access for Daily Red_chromatic_coordinate", "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=rcc_90/model_id=tg_humidity_lm?endpoint_override=sdsc.osn.xsede.org", "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=rcc_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" }, + "8": { + "type": "application/x-parquet", + "title": "Database Access for Daily Dissolved_oxygen", + "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/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/scores/parquet/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" + }, "9": { "type": "application/x-parquet", "title": "Database Access for Daily Water_temperature", diff --git a/catalog/scores/models/model_items/tg_humidity_lm_all_sites.json b/catalog/scores/models/model_items/tg_humidity_lm_all_sites.json index 6d7afadb11..d3ad8f16b6 100644 --- a/catalog/scores/models/model_items/tg_humidity_lm_all_sites.json +++ b/catalog/scores/models/model_items/tg_humidity_lm_all_sites.json @@ -100,15 +100,9 @@ ] }, "properties": { -<<<<<<< HEAD - "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 Green_chromatic_coordinate, Daily Net_ecosystem_exchange, Daily latent_heat_flux, Daily Red_chromatic_coordinate, Daily Chlorophyll_a, Daily Dissolved_oxygen, Daily Water_temperature, Weekly beetle_community_abundance, Weekly beetle_community_richness, Weekly Amblyomma_americanum_population", + "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 Red_chromatic_coordinate, Daily Net_ecosystem_exchange, Daily latent_heat_flux, Daily Green_chromatic_coordinate, Daily Chlorophyll_a, Daily Dissolved_oxygen, Daily Water_temperature, Weekly beetle_community_abundance, Weekly beetle_community_richness, Weekly Amblyomma_americanum_population", "start_datetime": "2023-11-14", "end_datetime": "2024-01-09", -======= - "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 Red_chromatic_coordinate, Daily Net_ecosystem_exchange, Daily Green_chromatic_coordinate, Daily latent_heat_flux, Daily Chlorophyll_a, Daily Dissolved_oxygen, Daily Water_temperature, Weekly beetle_community_abundance, Weekly beetle_community_richness, Weekly Amblyomma_americanum_population", - "start_datetime": "2023-11-14", - "end_datetime": "2024-01-08", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", @@ -131,17 +125,10 @@ "keywords": [ "Forecasting", "neon4cast", -<<<<<<< HEAD - "Daily Green_chromatic_coordinate", - "Daily Net_ecosystem_exchange", - "Daily latent_heat_flux", - "Daily Red_chromatic_coordinate", -======= "Daily Red_chromatic_coordinate", "Daily Net_ecosystem_exchange", - "Daily Green_chromatic_coordinate", "Daily latent_heat_flux", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 + "Daily Green_chromatic_coordinate", "Daily Chlorophyll_a", "Daily Dissolved_oxygen", "Daily Water_temperature", @@ -300,10 +287,9 @@ }, "3": { "type": "application/x-parquet", -<<<<<<< HEAD - "title": "Database Access for Daily Green_chromatic_coordinate", - "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/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/scores/parquet/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" + "title": "Database Access for Daily Red_chromatic_coordinate", + "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=rcc_90/model_id=tg_humidity_lm_all_sites?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=rcc_90/model_id=tg_humidity_lm_all_sites?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, "4": { "type": "application/x-parquet", @@ -319,33 +305,10 @@ }, "6": { "type": "application/x-parquet", -======= ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 - "title": "Database Access for Daily Red_chromatic_coordinate", - "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=rcc_90/model_id=tg_humidity_lm_all_sites?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=rcc_90/model_id=tg_humidity_lm_all_sites?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" - }, -<<<<<<< HEAD -======= - "4": { - "type": "application/x-parquet", - "title": "Database Access for Daily Net_ecosystem_exchange", - "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/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/scores/parquet/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 Green_chromatic_coordinate", "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/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/scores/parquet/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" }, - "6": { - "type": "application/x-parquet", - "title": "Database Access for Daily latent_heat_flux", - "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/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/scores/parquet/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" - }, ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "7": { "type": "application/x-parquet", "title": "Database Access for Daily Chlorophyll_a", diff --git a/catalog/scores/models/model_items/tg_lasso.json b/catalog/scores/models/model_items/tg_lasso.json index ef4098dbfb..8acf6e67a6 100644 --- a/catalog/scores/models/model_items/tg_lasso.json +++ b/catalog/scores/models/model_items/tg_lasso.json @@ -100,13 +100,9 @@ ] }, "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, ARIK, BARC, BIGC, BLDE, BLUE, BLWA, CARI, COMO, CRAM, CUPE, FLNT, GUIL, HOPB, KING, LECO, LEWI, LIRO, MART, MAYF, MCDI, MCRA, OKSR, POSE, PRIN, PRLA, PRPO, REDB, SUGG, SYCA, TECR, TOOK, WALK, WLOU, TOMB\n\nVariables: Daily Green_chromatic_coordinate, Daily Dissolved_oxygen, Daily Red_chromatic_coordinate, Daily Water_temperature, Daily Chlorophyll_a, Weekly beetle_community_abundance, Weekly beetle_community_richness, Weekly Amblyomma_americanum_population", + "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, ARIK, BARC, BIGC, BLDE, BLUE, BLWA, CARI, COMO, CRAM, CUPE, FLNT, GUIL, HOPB, KING, LECO, LEWI, LIRO, MART, MAYF, MCDI, MCRA, OKSR, POSE, PRIN, PRLA, PRPO, REDB, SUGG, SYCA, TECR, TOOK, WALK, WLOU, TOMB\n\nVariables: Daily Green_chromatic_coordinate, Daily Red_chromatic_coordinate, Daily Dissolved_oxygen, Daily Water_temperature, Daily Chlorophyll_a, Weekly beetle_community_abundance, Weekly beetle_community_richness, Weekly Amblyomma_americanum_population", "start_datetime": "2023-11-14", -<<<<<<< HEAD "end_datetime": "2024-01-09", -======= - "end_datetime": "2024-01-08", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", @@ -130,8 +126,8 @@ "Forecasting", "neon4cast", "Daily Green_chromatic_coordinate", - "Daily Dissolved_oxygen", "Daily Red_chromatic_coordinate", + "Daily Dissolved_oxygen", "Daily Water_temperature", "Daily Chlorophyll_a", "Weekly beetle_community_abundance", @@ -294,17 +290,17 @@ "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/scores/parquet/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 Dissolved_oxygen", - "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/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/scores/parquet/duration=P1D/variable=oxygen/model_id=tg_lasso?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" - }, - "5": { "type": "application/x-parquet", "title": "Database Access for Daily Red_chromatic_coordinate", "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=rcc_90/model_id=tg_lasso?endpoint_override=sdsc.osn.xsede.org", "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=rcc_90/model_id=tg_lasso?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, + "5": { + "type": "application/x-parquet", + "title": "Database Access for Daily Dissolved_oxygen", + "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/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/scores/parquet/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" + }, "6": { "type": "application/x-parquet", "title": "Database Access for Daily Water_temperature", diff --git a/catalog/scores/models/model_items/tg_lasso_all_sites.json b/catalog/scores/models/model_items/tg_lasso_all_sites.json index c3d6e5664c..bbc4169c42 100644 --- a/catalog/scores/models/model_items/tg_lasso_all_sites.json +++ b/catalog/scores/models/model_items/tg_lasso_all_sites.json @@ -16,6 +16,15 @@ "geometry": { "type": "MultiPoint", "coordinates": [ + [-102.4471, 39.7582], + [-82.0084, 29.676], + [-119.2575, 37.0597], + [-110.5871, 44.9501], + [-96.6242, 34.4442], + [-87.7982, 32.5415], + [-147.504, 65.1532], + [-105.5442, 40.035], + [-89.4737, 46.2097], [-66.9868, 18.1135], [-84.4374, 31.1854], [-66.7987, 18.1741], @@ -41,15 +50,18 @@ [-149.6106, 68.6307], [-84.2793, 35.9574], [-105.9154, 39.8914], - [-102.4471, 39.7582], - [-82.0084, 29.676], - [-119.2575, 37.0597], - [-110.5871, 44.9501], - [-96.6242, 34.4442], - [-87.7982, 32.5415], - [-147.504, 65.1532], - [-105.5442, 40.035], - [-89.4737, 46.2097], + [-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], @@ -84,29 +96,13 @@ [-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], - [-99.2413, 47.1282], - [-121.9519, 45.8205], - [-110.5391, 44.9535] + [-119.2622, 37.0334] ] }, "properties": { "description": [], "start_datetime": "2023-11-14", -<<<<<<< HEAD "end_datetime": "2024-01-08", -======= - "end_datetime": "2024-01-07", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", @@ -131,13 +127,9 @@ "neon4cast", "Daily Dissolved_oxygen", "Daily Chlorophyll_a", -<<<<<<< HEAD -======= "Daily Green_chromatic_coordinate", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "Daily Water_temperature", "Daily Red_chromatic_coordinate", - "Daily Green_chromatic_coordinate", "Weekly beetle_community_abundance", "Weekly beetle_community_richness", "Weekly Amblyomma_americanum_population" @@ -305,35 +297,22 @@ }, "5": { "type": "application/x-parquet", -<<<<<<< HEAD -======= "title": "Database Access for Daily Green_chromatic_coordinate", "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/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/scores/parquet/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" }, "6": { "type": "application/x-parquet", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "title": "Database Access for Daily Water_temperature", "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=temperature/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/scores/parquet/duration=P1D/variable=temperature/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" }, -<<<<<<< HEAD - "6": { -======= "7": { ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "type": "application/x-parquet", "title": "Database Access for Daily Red_chromatic_coordinate", "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=rcc_90/model_id=tg_lasso_all_sites?endpoint_override=sdsc.osn.xsede.org", "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=rcc_90/model_id=tg_lasso_all_sites?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, - "7": { - "type": "application/x-parquet", - "title": "Database Access for Daily Green_chromatic_coordinate", - "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/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/scores/parquet/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" - }, "8": { "type": "application/x-parquet", "title": "Database Access for Weekly beetle_community_abundance", diff --git a/catalog/scores/models/model_items/tg_precip_lm.json b/catalog/scores/models/model_items/tg_precip_lm.json index 857ef49600..f9cc69cba6 100644 --- a/catalog/scores/models/model_items/tg_precip_lm.json +++ b/catalog/scores/models/model_items/tg_precip_lm.json @@ -16,6 +16,22 @@ "geometry": { "type": "MultiPoint", "coordinates": [ + [-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], [-96.5631, 39.1008], @@ -47,22 +63,6 @@ [-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], - [-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], [-111.5081, 33.751], [-119.0274, 36.9559], [-88.1589, 31.8534], @@ -100,15 +100,9 @@ ] }, "properties": { -<<<<<<< HEAD - "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, SYCA, TECR, TOMB, TOOK, WALK, WLOU, ARIK, BARC, BIGC, BLDE, BLUE, BLWA, CARI, COMO, CRAM, CUPE, FLNT, GUIL, HOPB, KING, LECO, LEWI, LIRO, MART, MAYF, MCDI, MCRA, OKSR, POSE, PRIN, PRLA, PRPO, REDB, SUGG\n\nVariables: Daily latent_heat_flux, Daily Green_chromatic_coordinate, Daily Net_ecosystem_exchange, Daily Dissolved_oxygen, Daily Red_chromatic_coordinate, Daily Water_temperature, Daily Chlorophyll_a, Weekly beetle_community_abundance, Weekly beetle_community_richness, Weekly Amblyomma_americanum_population", + "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, SYCA, TECR, TOMB, TOOK, WALK, WLOU, BARC, BLWA, CRAM, FLNT, LIRO, PRLA, PRPO, SUGG, ARIK, BIGC, BLDE, BLUE, CARI, COMO, CUPE, GUIL, HOPB, KING, LECO, LEWI, MART, MAYF, MCDI, MCRA, OKSR, POSE, PRIN, REDB\n\nVariables: Daily Green_chromatic_coordinate, Daily latent_heat_flux, Daily Red_chromatic_coordinate, Daily Net_ecosystem_exchange, Daily Dissolved_oxygen, Daily Chlorophyll_a, Daily Water_temperature, Weekly beetle_community_abundance, Weekly beetle_community_richness, Weekly Amblyomma_americanum_population", "start_datetime": "2023-11-14", "end_datetime": "2024-01-09", -======= - "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, SYCA, TECR, TOMB, TOOK, WALK, WLOU, BARC, BLWA, CRAM, FLNT, LIRO, PRLA, PRPO, SUGG, ARIK, BIGC, BLDE, BLUE, CARI, COMO, CUPE, GUIL, HOPB, KING, LECO, LEWI, MART, MAYF, MCDI, MCRA, OKSR, POSE, PRIN, REDB\n\nVariables: Daily Green_chromatic_coordinate, Daily latent_heat_flux, Daily Net_ecosystem_exchange, Daily Dissolved_oxygen, Daily Red_chromatic_coordinate, Daily Chlorophyll_a, Daily Water_temperature, Weekly beetle_community_abundance, Weekly beetle_community_richness, Weekly Amblyomma_americanum_population", - "start_datetime": "2023-11-14", - "end_datetime": "2024-01-08", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", @@ -131,19 +125,11 @@ "keywords": [ "Forecasting", "neon4cast", - "Daily latent_heat_flux", "Daily Green_chromatic_coordinate", -<<<<<<< HEAD - "Daily Net_ecosystem_exchange", - "Daily Dissolved_oxygen", - "Daily Red_chromatic_coordinate", - "Daily Water_temperature", -======= "Daily latent_heat_flux", + "Daily Red_chromatic_coordinate", "Daily Net_ecosystem_exchange", "Daily Dissolved_oxygen", - "Daily Red_chromatic_coordinate", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "Daily Chlorophyll_a", "Daily Water_temperature", "Weekly beetle_community_abundance", @@ -301,40 +287,34 @@ }, "3": { "type": "application/x-parquet", - "title": "Database Access for Daily latent_heat_flux", - "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/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/scores/parquet/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" - }, - "4": { - "type": "application/x-parquet", -<<<<<<< HEAD "title": "Database Access for Daily Green_chromatic_coordinate", "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/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/scores/parquet/duration=P1D/variable=gcc_90/model_id=tg_precip_lm?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" -======= + }, + "4": { + "type": "application/x-parquet", "title": "Database Access for Daily latent_heat_flux", "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/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/scores/parquet/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" ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 }, "5": { + "type": "application/x-parquet", + "title": "Database Access for Daily Red_chromatic_coordinate", + "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=rcc_90/model_id=tg_precip_lm?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=rcc_90/model_id=tg_precip_lm?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + }, + "6": { "type": "application/x-parquet", "title": "Database Access for Daily Net_ecosystem_exchange", "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/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/scores/parquet/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" }, - "6": { + "7": { "type": "application/x-parquet", "title": "Database Access for Daily Dissolved_oxygen", "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/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/scores/parquet/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" }, - "7": { - "type": "application/x-parquet", - "title": "Database Access for Daily Red_chromatic_coordinate", - "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=rcc_90/model_id=tg_precip_lm?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=rcc_90/model_id=tg_precip_lm?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" - }, "8": { "type": "application/x-parquet", "title": "Database Access for Daily Chlorophyll_a", diff --git a/catalog/scores/models/model_items/tg_precip_lm_all_sites.json b/catalog/scores/models/model_items/tg_precip_lm_all_sites.json index 3e74461ca8..11772a5bad 100644 --- a/catalog/scores/models/model_items/tg_precip_lm_all_sites.json +++ b/catalog/scores/models/model_items/tg_precip_lm_all_sites.json @@ -16,82 +16,27 @@ "geometry": { "type": "MultiPoint", "coordinates": [ -<<<<<<< HEAD - [-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], - [-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], - [-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], - [-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], -======= [-88.1589, 31.8534], [-149.6106, 68.6307], [-84.2793, 35.9574], [-105.9154, 39.8914], ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 [-102.4471, 39.7582], + [-82.0084, 29.676], [-119.2575, 37.0597], [-110.5871, 44.9501], [-96.6242, 34.4442], + [-87.7982, 32.5415], [-147.504, 65.1532], [-105.5442, 40.035], + [-89.4737, 46.2097], [-66.9868, 18.1135], + [-84.4374, 31.1854], [-66.7987, 18.1741], [-72.3295, 42.4719], [-96.6038, 39.1051], [-83.5038, 35.6904], [-77.9832, 39.0956], + [-89.7048, 45.9983], [-121.9338, 45.7908], [-87.4077, 32.9604], [-96.443, 38.9459], @@ -99,19 +44,12 @@ [-149.143, 68.6698], [-78.1473, 38.8943], [-97.7823, 33.3785], + [-99.1139, 47.1591], + [-99.2531, 47.1298], [-111.7979, 40.7839], + [-82.0177, 29.6878], [-111.5081, 33.751], [-119.0274, 36.9559], -<<<<<<< HEAD - [-84.2793, 35.9574], - [-105.9154, 39.8914] - ] - }, - "properties": { - "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 Net_ecosystem_exchange, Daily Green_chromatic_coordinate, Daily Dissolved_oxygen, Daily latent_heat_flux, Daily Red_chromatic_coordinate, Daily Water_temperature, Weekly beetle_community_abundance, Weekly beetle_community_richness, Weekly Amblyomma_americanum_population", - "start_datetime": "2023-11-14", - "end_datetime": "2024-01-09", -======= [-66.8687, 17.9696], [-72.1727, 42.5369], [-149.2133, 63.8758], @@ -162,10 +100,9 @@ ] }, "properties": { - "description": "\nmodel info: NA\n\nSites: TOMB, TOOK, WALK, WLOU, ARIK, BARC, BIGC, BLDE, BLUE, BLWA, CARI, COMO, CRAM, CUPE, FLNT, GUIL, HOPB, KING, LECO, LEWI, LIRO, MART, MAYF, MCDI, MCRA, OKSR, POSE, PRIN, PRLA, PRPO, REDB, SUGG, SYCA, TECR, 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, DEJU, DELA, DSNY, GRSM\n\nVariables: Daily Dissolved_oxygen, Daily Red_chromatic_coordinate, Daily Net_ecosystem_exchange, Daily latent_heat_flux, Daily Chlorophyll_a, Daily Green_chromatic_coordinate, Daily Water_temperature, Weekly beetle_community_abundance, Weekly beetle_community_richness, Weekly Amblyomma_americanum_population", + "description": "\nmodel info: NA\n\nSites: TOMB, TOOK, WALK, WLOU, ARIK, BARC, BIGC, BLDE, BLUE, BLWA, CARI, COMO, CRAM, CUPE, FLNT, GUIL, HOPB, KING, LECO, LEWI, LIRO, MART, MAYF, MCDI, MCRA, OKSR, POSE, PRIN, PRLA, PRPO, REDB, SUGG, SYCA, TECR, 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, DEJU, DELA, DSNY, GRSM\n\nVariables: Daily Dissolved_oxygen, Daily Red_chromatic_coordinate, Daily Net_ecosystem_exchange, Daily latent_heat_flux, Daily Green_chromatic_coordinate, Daily Chlorophyll_a, Daily Water_temperature, Weekly beetle_community_abundance, Weekly beetle_community_richness, Weekly Amblyomma_americanum_population", "start_datetime": "2023-11-14", - "end_datetime": "2024-01-08", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 + "end_datetime": "2024-01-09", "providers": [ { "url": "pending", @@ -188,19 +125,12 @@ "keywords": [ "Forecasting", "neon4cast", -<<<<<<< HEAD -======= "Daily Dissolved_oxygen", "Daily Red_chromatic_coordinate", "Daily Net_ecosystem_exchange", "Daily latent_heat_flux", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 - "Daily Chlorophyll_a", - "Daily Net_ecosystem_exchange", "Daily Green_chromatic_coordinate", - "Daily Dissolved_oxygen", - "Daily latent_heat_flux", - "Daily Red_chromatic_coordinate", + "Daily Chlorophyll_a", "Daily Water_temperature", "Weekly beetle_community_abundance", "Weekly beetle_community_richness", @@ -357,49 +287,16 @@ }, "3": { "type": "application/x-parquet", -<<<<<<< HEAD - "title": "Database Access for Daily Chlorophyll_a", - "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/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/scores/parquet/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 Net_ecosystem_exchange", - "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/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/scores/parquet/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" - }, - "5": { - "type": "application/x-parquet", - "title": "Database Access for Daily Green_chromatic_coordinate", - "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/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/scores/parquet/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" - }, - "6": { - "type": "application/x-parquet", -======= ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "title": "Database Access for Daily Dissolved_oxygen", "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/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/scores/parquet/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" }, -<<<<<<< HEAD - "7": { - "type": "application/x-parquet", - "title": "Database Access for Daily latent_heat_flux", - "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/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/scores/parquet/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" - }, - "8": { -======= "4": { ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "type": "application/x-parquet", "title": "Database Access for Daily Red_chromatic_coordinate", "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=rcc_90/model_id=tg_precip_lm_all_sites?endpoint_override=sdsc.osn.xsede.org", "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=rcc_90/model_id=tg_precip_lm_all_sites?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, -<<<<<<< HEAD -======= "5": { "type": "application/x-parquet", "title": "Database Access for Daily Net_ecosystem_exchange", @@ -413,18 +310,17 @@ "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/scores/parquet/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" }, "7": { - "type": "application/x-parquet", - "title": "Database Access for Daily Chlorophyll_a", - "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/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/scores/parquet/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" - }, - "8": { "type": "application/x-parquet", "title": "Database Access for Daily Green_chromatic_coordinate", "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/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/scores/parquet/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" }, ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 + "8": { + "type": "application/x-parquet", + "title": "Database Access for Daily Chlorophyll_a", + "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/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/scores/parquet/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" + }, "9": { "type": "application/x-parquet", "title": "Database Access for Daily Water_temperature", diff --git a/catalog/scores/models/model_items/tg_randfor.json b/catalog/scores/models/model_items/tg_randfor.json index 51d9cc04ad..561b3fe82b 100644 --- a/catalog/scores/models/model_items/tg_randfor.json +++ b/catalog/scores/models/model_items/tg_randfor.json @@ -16,6 +16,37 @@ "geometry": { "type": "MultiPoint", "coordinates": [ + [-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], + [-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], [-102.4471, 39.7582], [-82.0084, 29.676], [-119.2575, 37.0597], @@ -62,37 +93,6 @@ [-72.1727, 42.5369], [-149.2133, 63.8758], [-84.4686, 31.1948], - [-106.8425, 32.5907], - [-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], - [-99.2413, 47.1282], - [-121.9519, 45.8205], - [-110.5391, 44.9535], - [-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], [-149.6106, 68.6307], [-84.2793, 35.9574], [-105.9154, 39.8914], @@ -100,15 +100,9 @@ ] }, "properties": { -<<<<<<< HEAD - "description": "\nmodel info: NA\n\nSites: ARIK, BARC, BIGC, BLDE, BLUE, BLWA, CARI, COMO, CRAM, CUPE, FLNT, GUIL, HOPB, KING, LECO, LEWI, LIRO, MART, MAYF, MCDI, MCRA, OKSR, POSE, PRIN, PRLA, PRPO, REDB, SUGG, SYCA, TECR, ABBY, BARR, BART, BLAN, BONA, CLBJ, CPER, DCFS, DEJU, DELA, DSNY, GRSM, GUAN, HARV, HEAL, JERC, JORN, SCBI, SERC, SJER, SOAP, SRER, STEI, STER, TALL, TEAK, TOOL, TREE, UKFS, UNDE, WOOD, WREF, YELL, KONA, KONZ, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, TOOK, WALK, WLOU, TOMB\n\nVariables: Daily Dissolved_oxygen, Daily latent_heat_flux, Daily Green_chromatic_coordinate, Daily Red_chromatic_coordinate, Daily Net_ecosystem_exchange, Daily Water_temperature, Daily Chlorophyll_a, Weekly beetle_community_abundance, Weekly beetle_community_richness, Weekly Amblyomma_americanum_population", - "start_datetime": "2023-11-14", - "end_datetime": "2024-01-08", -======= "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, ARIK, BARC, BIGC, BLDE, BLUE, BLWA, CARI, COMO, CRAM, CUPE, FLNT, GUIL, HOPB, KING, LECO, LEWI, LIRO, MART, MAYF, MCDI, MCRA, OKSR, POSE, PRIN, PRLA, PRPO, REDB, SUGG, SYCA, TECR, ABBY, BARR, BART, BLAN, BONA, CLBJ, CPER, DCFS, DEJU, DELA, DSNY, GRSM, GUAN, HARV, HEAL, JERC, TOOK, WALK, WLOU, TOMB\n\nVariables: Daily latent_heat_flux, Daily Dissolved_oxygen, Daily Green_chromatic_coordinate, Daily Red_chromatic_coordinate, Daily Net_ecosystem_exchange, Daily Water_temperature, Daily Chlorophyll_a, Weekly beetle_community_abundance, Weekly beetle_community_richness, Weekly Amblyomma_americanum_population", "start_datetime": "2023-11-14", - "end_datetime": "2024-01-07", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 + "end_datetime": "2024-01-08", "providers": [ { "url": "pending", @@ -131,12 +125,8 @@ "keywords": [ "Forecasting", "neon4cast", - "Daily Dissolved_oxygen", "Daily latent_heat_flux", -<<<<<<< HEAD -======= "Daily Dissolved_oxygen", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "Daily Green_chromatic_coordinate", "Daily Red_chromatic_coordinate", "Daily Net_ecosystem_exchange", @@ -296,27 +286,13 @@ "description": "The link to the model code provided by the model submission team" }, "3": { - "type": "application/x-parquet", - "title": "Database Access for Daily Dissolved_oxygen", - "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/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/scores/parquet/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" - }, - "4": { "type": "application/x-parquet", "title": "Database Access for Daily latent_heat_flux", "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/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/scores/parquet/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" }, - "5": { - "type": "application/x-parquet", -<<<<<<< HEAD - "title": "Database Access for Daily Green_chromatic_coordinate", - "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/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/scores/parquet/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" - }, - "6": { + "4": { "type": "application/x-parquet", -======= "title": "Database Access for Daily Dissolved_oxygen", "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/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/scores/parquet/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" @@ -329,7 +305,6 @@ }, "6": { "type": "application/x-parquet", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "title": "Database Access for Daily Red_chromatic_coordinate", "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=rcc_90/model_id=tg_randfor?endpoint_override=sdsc.osn.xsede.org", "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=rcc_90/model_id=tg_randfor?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" diff --git a/catalog/scores/models/model_items/tg_randfor_all_sites.json b/catalog/scores/models/model_items/tg_randfor_all_sites.json index e73d1bf591..c4bb98fa4f 100644 --- a/catalog/scores/models/model_items/tg_randfor_all_sites.json +++ b/catalog/scores/models/model_items/tg_randfor_all_sites.json @@ -16,6 +16,14 @@ "geometry": { "type": "MultiPoint", "coordinates": [ + [-102.4471, 39.7582], + [-82.0084, 29.676], + [-119.2575, 37.0597], + [-110.5871, 44.9501], + [-96.6242, 34.4442], + [-87.7982, 32.5415], + [-147.504, 65.1532], + [-105.5442, 40.035], [-89.4737, 46.2097], [-66.9868, 18.1135], [-84.4374, 31.1854], @@ -42,14 +50,6 @@ [-149.6106, 68.6307], [-84.2793, 35.9574], [-105.9154, 39.8914], - [-102.4471, 39.7582], - [-82.0084, 29.676], - [-119.2575, 37.0597], - [-110.5871, 44.9501], - [-96.6242, 34.4442], - [-87.7982, 32.5415], - [-147.504, 65.1532], - [-105.5442, 40.035], [-122.3303, 45.7624], [-156.6194, 71.2824], [-71.2874, 44.0639], @@ -102,11 +102,7 @@ "properties": { "description": [], "start_datetime": "2023-11-14", -<<<<<<< HEAD "end_datetime": "2024-01-08", -======= - "end_datetime": "2024-01-07", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/scores/models/model_items/tg_tbats.json b/catalog/scores/models/model_items/tg_tbats.json index 326f492682..a33f4d27c6 100644 --- a/catalog/scores/models/model_items/tg_tbats.json +++ b/catalog/scores/models/model_items/tg_tbats.json @@ -100,11 +100,7 @@ ] }, "properties": { -<<<<<<< HEAD - "description": "\nmodel info: NA\n\nSites: ARIK, BARC, BIGC, BLDE, BLUE, BLWA, CARI, COMO, CRAM, CUPE, FLNT, GUIL, HOPB, KING, LECO, LEWI, LIRO, MART, MAYF, MCDI, MCRA, OKSR, POSE, PRIN, PRLA, PRPO, REDB, SUGG, SYCA, TECR, TOMB, TOOK, WALK, WLOU, 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\n\nVariables: Daily Dissolved_oxygen, Daily latent_heat_flux, Daily Green_chromatic_coordinate, Daily Net_ecosystem_exchange, Daily Chlorophyll_a, Daily Red_chromatic_coordinate, Daily Water_temperature, Weekly Amblyomma_americanum_population, Weekly beetle_community_abundance, Weekly beetle_community_richness", -======= - "description": "\nmodel info: NA\n\nSites: ARIK, BARC, BIGC, BLDE, BLUE, BLWA, CARI, COMO, CRAM, CUPE, FLNT, GUIL, HOPB, KING, LECO, LEWI, LIRO, MART, MAYF, MCDI, MCRA, OKSR, POSE, PRIN, PRLA, PRPO, REDB, SUGG, SYCA, TECR, TOMB, TOOK, WALK, WLOU, 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\n\nVariables: Daily Dissolved_oxygen, Daily Red_chromatic_coordinate, Daily latent_heat_flux, Daily Net_ecosystem_exchange, Daily Chlorophyll_a, Daily Green_chromatic_coordinate, Daily Water_temperature, Weekly Amblyomma_americanum_population, Weekly beetle_community_abundance, Weekly beetle_community_richness", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 + "description": "\nmodel info: NA\n\nSites: ARIK, BARC, BIGC, BLDE, BLUE, BLWA, CARI, COMO, CRAM, CUPE, FLNT, GUIL, HOPB, KING, LECO, LEWI, LIRO, MART, MAYF, MCDI, MCRA, OKSR, POSE, PRIN, PRLA, PRPO, REDB, SUGG, SYCA, TECR, TOMB, TOOK, WALK, WLOU, 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\n\nVariables: Daily Dissolved_oxygen, Daily Red_chromatic_coordinate, Daily Net_ecosystem_exchange, Daily latent_heat_flux, Daily Chlorophyll_a, Daily Green_chromatic_coordinate, Daily Water_temperature, Weekly Amblyomma_americanum_population, Weekly beetle_community_abundance, Weekly beetle_community_richness", "start_datetime": "2023-01-01", "end_datetime": "2024-11-25", "providers": [ @@ -130,16 +126,9 @@ "Forecasting", "neon4cast", "Daily Dissolved_oxygen", -<<<<<<< HEAD - "Daily latent_heat_flux", - "Daily Green_chromatic_coordinate", - "Daily Net_ecosystem_exchange", - "Daily Chlorophyll_a", -======= ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "Daily Red_chromatic_coordinate", - "Daily latent_heat_flux", "Daily Net_ecosystem_exchange", + "Daily latent_heat_flux", "Daily Chlorophyll_a", "Daily Green_chromatic_coordinate", "Daily Water_temperature", @@ -304,34 +293,22 @@ }, "4": { "type": "application/x-parquet", -<<<<<<< HEAD -======= "title": "Database Access for Daily Red_chromatic_coordinate", "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=rcc_90/model_id=tg_tbats?endpoint_override=sdsc.osn.xsede.org", "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=rcc_90/model_id=tg_tbats?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, "5": { "type": "application/x-parquet", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 - "title": "Database Access for Daily latent_heat_flux", - "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/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/scores/parquet/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" - }, -<<<<<<< HEAD - "5": { - "type": "application/x-parquet", - "title": "Database Access for Daily Green_chromatic_coordinate", - "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/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/scores/parquet/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" - }, -======= ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 - "6": { - "type": "application/x-parquet", "title": "Database Access for Daily Net_ecosystem_exchange", "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/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/scores/parquet/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 latent_heat_flux", + "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/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/scores/parquet/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" + }, "7": { "type": "application/x-parquet", "title": "Database Access for Daily Chlorophyll_a", diff --git a/catalog/scores/models/model_items/tg_temp_lm.json b/catalog/scores/models/model_items/tg_temp_lm.json index e9dec95965..6d6432a9ca 100644 --- a/catalog/scores/models/model_items/tg_temp_lm.json +++ b/catalog/scores/models/model_items/tg_temp_lm.json @@ -100,15 +100,9 @@ ] }, "properties": { -<<<<<<< HEAD - "description": "\nmodel info: NA\n\nSites: ARIK, BARC, BIGC, BLDE, BLUE, BLWA, CARI, COMO, CRAM, CUPE, FLNT, GUIL, HOPB, KING, LECO, LEWI, LIRO, MART, MAYF, MCDI, MCRA, OKSR, POSE, PRIN, PRLA, PRPO, REDB, SUGG, SYCA, 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, TECR, TOMB, TOOK, WALK, WLOU, SERC, SJER, SOAP, SRER, STEI, STER, TALL, TEAK, TOOL, TREE, UKFS, UNDE, WOOD, WREF, YELL\n\nVariables: Daily Dissolved_oxygen, Daily Green_chromatic_coordinate, Daily Red_chromatic_coordinate, Daily Water_temperature, Daily latent_heat_flux, Daily Chlorophyll_a, Daily Net_ecosystem_exchange, Weekly beetle_community_abundance, Weekly beetle_community_richness, Weekly Amblyomma_americanum_population", - "start_datetime": "2023-11-14", - "end_datetime": "2024-01-09", -======= "description": "\nmodel info: NA\n\nSites: ARIK, BARC, BIGC, BLDE, BLUE, BLWA, CARI, COMO, CRAM, CUPE, FLNT, GUIL, HOPB, KING, LECO, LEWI, LIRO, MART, MAYF, MCDI, MCRA, OKSR, POSE, PRIN, PRLA, PRPO, REDB, SUGG, SYCA, 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, TECR, TOMB, TOOK, WALK, WLOU, SERC, SJER, SOAP, SRER, STEI, STER, TALL, TEAK, TOOL, TREE, UKFS, UNDE, WOOD, WREF, YELL\n\nVariables: Daily Dissolved_oxygen, Daily Green_chromatic_coordinate, Daily Red_chromatic_coordinate, Daily Water_temperature, Daily Chlorophyll_a, Daily latent_heat_flux, Daily Net_ecosystem_exchange, Weekly beetle_community_abundance, Weekly beetle_community_richness, Weekly Amblyomma_americanum_population", "start_datetime": "2023-11-14", - "end_datetime": "2024-01-08", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 + "end_datetime": "2024-01-09", "providers": [ { "url": "pending", @@ -135,8 +129,8 @@ "Daily Green_chromatic_coordinate", "Daily Red_chromatic_coordinate", "Daily Water_temperature", - "Daily latent_heat_flux", "Daily Chlorophyll_a", + "Daily latent_heat_flux", "Daily Net_ecosystem_exchange", "Weekly beetle_community_abundance", "Weekly beetle_community_richness", @@ -316,17 +310,17 @@ "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/scores/parquet/duration=P1D/variable=temperature/model_id=tg_temp_lm?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, "7": { - "type": "application/x-parquet", - "title": "Database Access for Daily latent_heat_flux", - "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/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/scores/parquet/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" - }, - "8": { "type": "application/x-parquet", "title": "Database Access for Daily Chlorophyll_a", "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/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/scores/parquet/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" }, + "8": { + "type": "application/x-parquet", + "title": "Database Access for Daily latent_heat_flux", + "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/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/scores/parquet/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" + }, "9": { "type": "application/x-parquet", "title": "Database Access for Daily Net_ecosystem_exchange", diff --git a/catalog/scores/models/model_items/tg_temp_lm_all_sites.json b/catalog/scores/models/model_items/tg_temp_lm_all_sites.json index 91ca991073..22153fe171 100644 --- a/catalog/scores/models/model_items/tg_temp_lm_all_sites.json +++ b/catalog/scores/models/model_items/tg_temp_lm_all_sites.json @@ -16,43 +16,6 @@ "geometry": { "type": "MultiPoint", "coordinates": [ -<<<<<<< HEAD - [-149.6106, 68.6307], - [-84.2793, 35.9574], - [-105.9154, 39.8914], - [-102.4471, 39.7582], - [-82.0084, 29.676], - [-119.2575, 37.0597], - [-110.5871, 44.9501], - [-96.6242, 34.4442], - [-87.7982, 32.5415], - [-147.504, 65.1532], - [-105.5442, 40.035], - [-89.4737, 46.2097], - [-66.9868, 18.1135], - [-84.4374, 31.1854], - [-66.7987, 18.1741], - [-72.3295, 42.4719], - [-96.6038, 39.1051], - [-83.5038, 35.6904], - [-77.9832, 39.0956], - [-89.7048, 45.9983], - [-121.9338, 45.7908], - [-87.4077, 32.9604], - [-96.443, 38.9459], - [-122.1655, 44.2596], - [-149.143, 68.6698], - [-78.1473, 38.8943], - [-97.7823, 33.3785], - [-99.1139, 47.1591], - [-99.2531, 47.1298], - [-111.7979, 40.7839], - [-82.0177, 29.6878], - [-111.5081, 33.751], - [-119.0274, 36.9559], - [-88.1589, 31.8534], -======= ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 [-122.3303, 45.7624], [-156.6194, 71.2824], [-71.2874, 44.0639], @@ -99,15 +62,6 @@ [-89.5373, 46.2339], [-99.2413, 47.1282], [-121.9519, 45.8205], -<<<<<<< HEAD - [-110.5391, 44.9535] - ] - }, - "properties": { - "description": "\nmodel info: NA\n\nSites: TOOK, WALK, WLOU, ARIK, BARC, BIGC, BLDE, BLUE, BLWA, CARI, COMO, CRAM, CUPE, FLNT, GUIL, HOPB, KING, LECO, LEWI, LIRO, MART, MAYF, MCDI, MCRA, OKSR, POSE, PRIN, PRLA, PRPO, REDB, SUGG, SYCA, TECR, TOMB, 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\n\nVariables: Daily Dissolved_oxygen, Daily Green_chromatic_coordinate, Daily Chlorophyll_a, Daily latent_heat_flux, Daily Net_ecosystem_exchange, Daily Red_chromatic_coordinate, Daily Water_temperature, Weekly beetle_community_abundance, Weekly beetle_community_richness, Weekly Amblyomma_americanum_population", - "start_datetime": "2023-11-14", - "end_datetime": "2024-01-09", -======= [-110.5391, 44.9535], [-149.6106, 68.6307], [-84.2793, 35.9574], @@ -146,10 +100,9 @@ ] }, "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, TOOK, WALK, WLOU, ARIK, BARC, BIGC, BLDE, BLUE, BLWA, CARI, COMO, CRAM, CUPE, FLNT, GUIL, HOPB, KING, LECO, LEWI, LIRO, MART, MAYF, MCDI, MCRA, OKSR, POSE, PRIN, PRLA, PRPO, REDB, SUGG, SYCA, TECR, TOMB\n\nVariables: Daily Red_chromatic_coordinate, Daily Dissolved_oxygen, Daily Green_chromatic_coordinate, Daily latent_heat_flux, Daily Chlorophyll_a, Daily Net_ecosystem_exchange, Daily Water_temperature, Weekly beetle_community_abundance, Weekly beetle_community_richness, Weekly Amblyomma_americanum_population", + "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, TOOK, WALK, WLOU, ARIK, BARC, BIGC, BLDE, BLUE, BLWA, CARI, COMO, CRAM, CUPE, FLNT, GUIL, HOPB, KING, LECO, LEWI, LIRO, MART, MAYF, MCDI, MCRA, OKSR, POSE, PRIN, PRLA, PRPO, REDB, SUGG, SYCA, TECR, TOMB\n\nVariables: Daily Red_chromatic_coordinate, Daily latent_heat_flux, Daily Dissolved_oxygen, Daily Chlorophyll_a, Daily Green_chromatic_coordinate, Daily Net_ecosystem_exchange, Daily Water_temperature, Weekly beetle_community_abundance, Weekly beetle_community_richness, Weekly Amblyomma_americanum_population", "start_datetime": "2023-11-14", - "end_datetime": "2024-01-08", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 + "end_datetime": "2024-01-09", "providers": [ { "url": "pending", @@ -172,17 +125,12 @@ "keywords": [ "Forecasting", "neon4cast", -<<<<<<< HEAD -======= "Daily Red_chromatic_coordinate", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 - "Daily Dissolved_oxygen", - "Daily Green_chromatic_coordinate", "Daily latent_heat_flux", + "Daily Dissolved_oxygen", "Daily Chlorophyll_a", - "Daily latent_heat_flux", + "Daily Green_chromatic_coordinate", "Daily Net_ecosystem_exchange", - "Daily Red_chromatic_coordinate", "Daily Water_temperature", "Weekly beetle_community_abundance", "Weekly beetle_community_richness", @@ -339,63 +287,40 @@ }, "3": { "type": "application/x-parquet", -<<<<<<< HEAD -======= "title": "Database Access for Daily Red_chromatic_coordinate", "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=rcc_90/model_id=tg_temp_lm_all_sites?endpoint_override=sdsc.osn.xsede.org", "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=rcc_90/model_id=tg_temp_lm_all_sites?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, "4": { "type": "application/x-parquet", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 - "title": "Database Access for Daily Dissolved_oxygen", - "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=oxygen/model_id=tg_temp_lm_all_sites?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=oxygen/model_id=tg_temp_lm_all_sites?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + "title": "Database Access for Daily latent_heat_flux", + "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/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/scores/parquet/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" }, -<<<<<<< HEAD - "4": { -======= "5": { ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "type": "application/x-parquet", - "title": "Database Access for Daily Green_chromatic_coordinate", - "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/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/scores/parquet/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" + "title": "Database Access for Daily Dissolved_oxygen", + "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=oxygen/model_id=tg_temp_lm_all_sites?endpoint_override=sdsc.osn.xsede.org", + "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=oxygen/model_id=tg_temp_lm_all_sites?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, -<<<<<<< HEAD - "5": { -======= "6": { - "type": "application/x-parquet", - "title": "Database Access for Daily latent_heat_flux", - "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/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/scores/parquet/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" - }, - "7": { ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "type": "application/x-parquet", "title": "Database Access for Daily Chlorophyll_a", "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/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/scores/parquet/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": { + "7": { "type": "application/x-parquet", - "title": "Database Access for Daily latent_heat_flux", - "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/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/scores/parquet/duration=P1D/variable=le/model_id=tg_temp_lm_all_sites?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" + "title": "Database Access for Daily Green_chromatic_coordinate", + "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/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/scores/parquet/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" }, - "7": { + "8": { "type": "application/x-parquet", "title": "Database Access for Daily Net_ecosystem_exchange", "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=nee/model_id=tg_temp_lm_all_sites?endpoint_override=sdsc.osn.xsede.org", "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=nee/model_id=tg_temp_lm_all_sites?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" }, - "8": { - "type": "application/x-parquet", - "title": "Database Access for Daily Red_chromatic_coordinate", - "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=rcc_90/model_id=tg_temp_lm_all_sites?endpoint_override=sdsc.osn.xsede.org", - "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=rcc_90/model_id=tg_temp_lm_all_sites?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" - }, "9": { "type": "application/x-parquet", "title": "Database Access for Daily Water_temperature", diff --git a/catalog/summaries/Aquatics/Daily_Chlorophyll_a/collection.json b/catalog/summaries/Aquatics/Daily_Chlorophyll_a/collection.json index b730d95db2..2f313cdfbf 100644 --- a/catalog/summaries/Aquatics/Daily_Chlorophyll_a/collection.json +++ b/catalog/summaries/Aquatics/Daily_Chlorophyll_a/collection.json @@ -183,11 +183,7 @@ "interval": [ [ "2023-01-01T00:00:00Z", -<<<<<<< HEAD "2024-01-10T00:00:00Z" -======= - "2024-01-09T00:00:00Z" ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 ] ] } @@ -281,13 +277,13 @@ ], "assets": { "data": { - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/project_id=neon4cast/duration=P1D/variable=chla?endpoint_override=sdsc.osn.xsede.org", + "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/project_id=neon4cast/duration=P1D/variable=chla?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 forecasts of the variable by the specific model .\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?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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 forecasts of the variable by the specific model .\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?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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": "pending", diff --git a/catalog/summaries/Aquatics/Daily_Dissolved_oxygen/collection.json b/catalog/summaries/Aquatics/Daily_Dissolved_oxygen/collection.json index f1b5ad7093..0a4fe58841 100644 --- a/catalog/summaries/Aquatics/Daily_Dissolved_oxygen/collection.json +++ b/catalog/summaries/Aquatics/Daily_Dissolved_oxygen/collection.json @@ -163,11 +163,7 @@ "interval": [ [ "2023-01-01T00:00:00Z", -<<<<<<< HEAD "2024-10-30T00:00:00Z" -======= - "2024-10-29T00:00:00Z" ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 ] ] } @@ -261,13 +257,13 @@ ], "assets": { "data": { - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/project_id=neon4cast/duration=P1D/variable=oxygen?endpoint_override=sdsc.osn.xsede.org", + "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/project_id=neon4cast/duration=P1D/variable=oxygen?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 forecasts of the variable by the specific model .\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?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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 forecasts of the variable by the specific model .\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?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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": "pending", diff --git a/catalog/summaries/Aquatics/Daily_Water_temperature/collection.json b/catalog/summaries/Aquatics/Daily_Water_temperature/collection.json index 59b62ae373..b401a9efb6 100644 --- a/catalog/summaries/Aquatics/Daily_Water_temperature/collection.json +++ b/catalog/summaries/Aquatics/Daily_Water_temperature/collection.json @@ -233,11 +233,7 @@ "interval": [ [ "2023-01-01T00:00:00Z", -<<<<<<< HEAD "2024-10-30T00:00:00Z" -======= - "2024-10-29T00:00:00Z" ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 ] ] } @@ -331,13 +327,13 @@ ], "assets": { "data": { - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/project_id=neon4cast/duration=P1D/variable=temperature?endpoint_override=sdsc.osn.xsede.org", + "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/project_id=neon4cast/duration=P1D/variable=temperature?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 forecasts of the variable by the specific model .\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?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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 forecasts of the variable by the specific model .\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?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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": "pending", diff --git a/catalog/summaries/Aquatics/collection.json b/catalog/summaries/Aquatics/collection.json index 3f3c8c1a4d..94bc011e68 100644 --- a/catalog/summaries/Aquatics/collection.json +++ b/catalog/summaries/Aquatics/collection.json @@ -162,13 +162,13 @@ ], "assets": { "data": { - "href": "s3://anonymous@bio230014-bucket01/vera4cast/forecasts/summaries/parquet/?endpoint_override=sdsc.osn.xsede.org", + "href": "\"s3://anonymous@bio230014-bucket01/vera4cast/forecasts/summaries/parquet/?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 NEON Ecological Forecasting Aquatics theme.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/vera4cast/forecasts/summaries/parquet/?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |>\n dplyr::filter(variable %in% c(\"oxygen\", \"temperature\", \"chla\")) |>\n dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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 NEON Ecological Forecasting Aquatics theme.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/vera4cast/forecasts/summaries/parquet/?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |>\n dplyr::filter(variable %in% c(\"oxygen\", \"temperature\", \"chla\")) |>\n dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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://projects.ecoforecast.org/neon4cast-catalog/img/neon_buoy.jpg", diff --git a/catalog/summaries/Beetles/Weekly_beetle_community_abundance/collection.json b/catalog/summaries/Beetles/Weekly_beetle_community_abundance/collection.json index 110c68dafe..6e4e98514d 100644 --- a/catalog/summaries/Beetles/Weekly_beetle_community_abundance/collection.json +++ b/catalog/summaries/Beetles/Weekly_beetle_community_abundance/collection.json @@ -222,13 +222,13 @@ ], "assets": { "data": { - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/project_id=neon4cast/duration=P1W/variable=abundance?endpoint_override=sdsc.osn.xsede.org", + "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/project_id=neon4cast/duration=P1W/variable=abundance?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 forecasts of the variable by the specific model .\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?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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 forecasts of the variable by the specific model .\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?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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": "pending", diff --git a/catalog/summaries/Beetles/Weekly_beetle_community_richness/collection.json b/catalog/summaries/Beetles/Weekly_beetle_community_richness/collection.json index 62c4384312..1f033dd9d8 100644 --- a/catalog/summaries/Beetles/Weekly_beetle_community_richness/collection.json +++ b/catalog/summaries/Beetles/Weekly_beetle_community_richness/collection.json @@ -222,13 +222,13 @@ ], "assets": { "data": { - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/project_id=neon4cast/duration=P1W/variable=richness?endpoint_override=sdsc.osn.xsede.org", + "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/project_id=neon4cast/duration=P1W/variable=richness?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 forecasts of the variable by the specific model .\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?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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 forecasts of the variable by the specific model .\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?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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": "pending", diff --git a/catalog/summaries/Beetles/collection.json b/catalog/summaries/Beetles/collection.json index 30aa519bea..e8383da995 100644 --- a/catalog/summaries/Beetles/collection.json +++ b/catalog/summaries/Beetles/collection.json @@ -157,13 +157,13 @@ ], "assets": { "data": { - "href": "s3://anonymous@bio230014-bucket01/vera4cast/forecasts/summaries/parquet/?endpoint_override=sdsc.osn.xsede.org", + "href": "\"s3://anonymous@bio230014-bucket01/vera4cast/forecasts/summaries/parquet/?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 NEON Ecological Forecasting Aquatics theme.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/vera4cast/forecasts/summaries/parquet/?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |>\n dplyr::filter(variable %in% c(\"abundance\", \"richness\")) |>\n dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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 NEON Ecological Forecasting Aquatics theme.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/vera4cast/forecasts/summaries/parquet/?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |>\n dplyr::filter(variable %in% c(\"abundance\", \"richness\")) |>\n dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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://www.neonscience.org/sites/default/files/styles/max_width_1170px/public/image-content-images/Beetles_pinned.jpg", diff --git a/catalog/summaries/Phenology/Daily_Green_chromatic_coordinate/collection.json b/catalog/summaries/Phenology/Daily_Green_chromatic_coordinate/collection.json index 525bace38f..78eda689e8 100644 --- a/catalog/summaries/Phenology/Daily_Green_chromatic_coordinate/collection.json +++ b/catalog/summaries/Phenology/Daily_Green_chromatic_coordinate/collection.json @@ -138,11 +138,7 @@ "interval": [ [ "2023-01-01T00:00:00Z", -<<<<<<< HEAD "2024-01-10T00:00:00Z" -======= - "2024-01-09T00:00:00Z" ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 ] ] } @@ -236,13 +232,13 @@ ], "assets": { "data": { - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/project_id=neon4cast/duration=P1D/variable=gcc_90?endpoint_override=sdsc.osn.xsede.org", + "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/project_id=neon4cast/duration=P1D/variable=gcc_90?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 forecasts of the variable by the specific model .\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?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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 forecasts of the variable by the specific model .\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?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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": "pending", diff --git a/catalog/summaries/Phenology/Daily_Red_chromatic_coordinate/collection.json b/catalog/summaries/Phenology/Daily_Red_chromatic_coordinate/collection.json index 6c3cd03449..05216d02d2 100644 --- a/catalog/summaries/Phenology/Daily_Red_chromatic_coordinate/collection.json +++ b/catalog/summaries/Phenology/Daily_Red_chromatic_coordinate/collection.json @@ -153,11 +153,7 @@ "interval": [ [ "2023-01-01T00:00:00Z", -<<<<<<< HEAD "2024-01-10T00:00:00Z" -======= - "2024-01-09T00:00:00Z" ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 ] ] } @@ -251,13 +247,13 @@ ], "assets": { "data": { - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/project_id=neon4cast/duration=P1D/variable=rcc_90?endpoint_override=sdsc.osn.xsede.org", + "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/project_id=neon4cast/duration=P1D/variable=rcc_90?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 forecasts of the variable by the specific model .\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?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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 forecasts of the variable by the specific model .\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?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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": "pending", diff --git a/catalog/summaries/Phenology/collection.json b/catalog/summaries/Phenology/collection.json index 038cad5303..1a6b75f1f3 100644 --- a/catalog/summaries/Phenology/collection.json +++ b/catalog/summaries/Phenology/collection.json @@ -157,13 +157,13 @@ ], "assets": { "data": { - "href": "s3://anonymous@bio230014-bucket01/vera4cast/forecasts/summaries/parquet/?endpoint_override=sdsc.osn.xsede.org", + "href": "\"s3://anonymous@bio230014-bucket01/vera4cast/forecasts/summaries/parquet/?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 NEON Ecological Forecasting Aquatics theme.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/vera4cast/forecasts/summaries/parquet/?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |>\n dplyr::filter(variable %in% c(\"gcc_90\", \"rcc_90\")) |>\n dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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 NEON Ecological Forecasting Aquatics theme.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/vera4cast/forecasts/summaries/parquet/?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |>\n dplyr::filter(variable %in% c(\"gcc_90\", \"rcc_90\")) |>\n dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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://www.neonscience.org/sites/default/files/styles/max_1300x1300/public/image-content-images/_BFP8455.jpg", diff --git a/catalog/summaries/Terrestrial/30min_Net_ecosystem_exchange/collection.json b/catalog/summaries/Terrestrial/30min_Net_ecosystem_exchange/collection.json index 8f99877086..2028952033 100644 --- a/catalog/summaries/Terrestrial/30min_Net_ecosystem_exchange/collection.json +++ b/catalog/summaries/Terrestrial/30min_Net_ecosystem_exchange/collection.json @@ -133,11 +133,7 @@ "interval": [ [ "2023-01-01T00:00:00Z", -<<<<<<< HEAD "2024-01-11T00:00:00Z" -======= - "2024-01-10T00:00:00Z" ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 ] ] } @@ -231,13 +227,13 @@ ], "assets": { "data": { - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/project_id=neon4cast/duration=P1D/variable=nee?endpoint_override=sdsc.osn.xsede.org", + "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/project_id=neon4cast/duration=P1D/variable=nee?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 forecasts of the variable by the specific model .\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?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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 forecasts of the variable by the specific model .\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?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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": "pending", diff --git a/catalog/summaries/Terrestrial/30min_latent_heat_flux/collection.json b/catalog/summaries/Terrestrial/30min_latent_heat_flux/collection.json index 53b5cfb79d..4e7373bb34 100644 --- a/catalog/summaries/Terrestrial/30min_latent_heat_flux/collection.json +++ b/catalog/summaries/Terrestrial/30min_latent_heat_flux/collection.json @@ -133,11 +133,7 @@ "interval": [ [ "2023-01-01T00:00:00Z", -<<<<<<< HEAD "2024-01-11T00:00:00Z" -======= - "2024-01-10T00:00:00Z" ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 ] ] } @@ -231,13 +227,13 @@ ], "assets": { "data": { - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/project_id=neon4cast/duration=P1D/variable=le?endpoint_override=sdsc.osn.xsede.org", + "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/project_id=neon4cast/duration=P1D/variable=le?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 forecasts of the variable by the specific model .\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?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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 forecasts of the variable by the specific model .\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?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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": "pending", diff --git a/catalog/summaries/Terrestrial/Daily_Net_ecosystem_exchange/collection.json b/catalog/summaries/Terrestrial/Daily_Net_ecosystem_exchange/collection.json index 1dce113579..40798605c0 100644 --- a/catalog/summaries/Terrestrial/Daily_Net_ecosystem_exchange/collection.json +++ b/catalog/summaries/Terrestrial/Daily_Net_ecosystem_exchange/collection.json @@ -133,11 +133,7 @@ "interval": [ [ "2023-01-01T00:00:00Z", -<<<<<<< HEAD "2024-01-11T00:00:00Z" -======= - "2024-01-10T00:00:00Z" ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 ] ] } @@ -231,13 +227,13 @@ ], "assets": { "data": { - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/project_id=neon4cast/duration=P1D/variable=nee?endpoint_override=sdsc.osn.xsede.org", + "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/project_id=neon4cast/duration=P1D/variable=nee?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 forecasts of the variable by the specific model .\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?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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 forecasts of the variable by the specific model .\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?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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": "pending", diff --git a/catalog/summaries/Terrestrial/Daily_latent_heat_flux/collection.json b/catalog/summaries/Terrestrial/Daily_latent_heat_flux/collection.json index 9a72135917..5caca0ab5f 100644 --- a/catalog/summaries/Terrestrial/Daily_latent_heat_flux/collection.json +++ b/catalog/summaries/Terrestrial/Daily_latent_heat_flux/collection.json @@ -133,11 +133,7 @@ "interval": [ [ "2023-01-01T00:00:00Z", -<<<<<<< HEAD "2024-01-11T00:00:00Z" -======= - "2024-01-10T00:00:00Z" ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 ] ] } @@ -231,13 +227,13 @@ ], "assets": { "data": { - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/project_id=neon4cast/duration=P1D/variable=le?endpoint_override=sdsc.osn.xsede.org", + "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/project_id=neon4cast/duration=P1D/variable=le?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 forecasts of the variable by the specific model .\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?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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 forecasts of the variable by the specific model .\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?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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": "pending", diff --git a/catalog/summaries/Terrestrial/collection.json b/catalog/summaries/Terrestrial/collection.json index a752558925..96c8bf03b6 100644 --- a/catalog/summaries/Terrestrial/collection.json +++ b/catalog/summaries/Terrestrial/collection.json @@ -167,13 +167,13 @@ ], "assets": { "data": { - "href": "s3://anonymous@bio230014-bucket01/vera4cast/forecasts/summaries/parquet/?endpoint_override=sdsc.osn.xsede.org", + "href": "\"s3://anonymous@bio230014-bucket01/vera4cast/forecasts/summaries/parquet/?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 NEON Ecological Forecasting Aquatics theme.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/vera4cast/forecasts/summaries/parquet/?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |>\n dplyr::filter(variable %in% c(\"nee\", \"le\")) |>\n dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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 NEON Ecological Forecasting Aquatics theme.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/vera4cast/forecasts/summaries/parquet/?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |>\n dplyr::filter(variable %in% c(\"nee\", \"le\")) |>\n dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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://projects.ecoforecast.org/neon4cast-catalog/img/BONA_Twr.jpg", diff --git a/catalog/summaries/Ticks/Weekly_Amblyomma_americanum_population/collection.json b/catalog/summaries/Ticks/Weekly_Amblyomma_americanum_population/collection.json index ba599b2996..9a16aa1015 100644 --- a/catalog/summaries/Ticks/Weekly_Amblyomma_americanum_population/collection.json +++ b/catalog/summaries/Ticks/Weekly_Amblyomma_americanum_population/collection.json @@ -217,13 +217,13 @@ ], "assets": { "data": { - "href": "s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/project_id=neon4cast/duration=P1W/variable=amblyomma_americanum?endpoint_override=sdsc.osn.xsede.org", + "href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/project_id=neon4cast/duration=P1W/variable=amblyomma_americanum?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 forecasts of the variable by the specific model .\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?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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 forecasts of the variable by the specific model .\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?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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": "pending", diff --git a/catalog/summaries/Ticks/collection.json b/catalog/summaries/Ticks/collection.json index ebc56a6616..0337d5e4ee 100644 --- a/catalog/summaries/Ticks/collection.json +++ b/catalog/summaries/Ticks/collection.json @@ -152,13 +152,13 @@ ], "assets": { "data": { - "href": "s3://anonymous@bio230014-bucket01/vera4cast/forecasts/summaries/parquet/?endpoint_override=sdsc.osn.xsede.org", + "href": "\"s3://anonymous@bio230014-bucket01/vera4cast/forecasts/summaries/parquet/?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 NEON Ecological Forecasting Aquatics theme.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/vera4cast/forecasts/summaries/parquet/?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |>\n dplyr::filter(variable %in% c(\"amblyomma_americanum\")) |>\n dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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 NEON Ecological Forecasting Aquatics theme.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/vera4cast/forecasts/summaries/parquet/?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |>\n dplyr::filter(variable %in% c(\"amblyomma_americanum\")) |>\n dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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/tick_drag.jpg", diff --git a/catalog/summaries/collection.json b/catalog/summaries/collection.json index 9771c5b195..4dc42a6c80 100644 --- a/catalog/summaries/collection.json +++ b/catalog/summaries/collection.json @@ -188,13 +188,13 @@ ], "assets": { "data": { - "href": "s3://anonymous@bio230014-bucket01/vera4cast/forecasts/summaries/parquet/?endpoint_override=sdsc.osn.xsede.org", + "href": "\"s3://anonymous@bio230014-bucket01/vera4cast/forecasts/summaries/parquet/?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 VERA Forecasting Challenge.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/vera4cast/forecasts/summaries/parquet/?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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 VERA Forecasting Challenge.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/vera4cast/forecasts/summaries/parquet/?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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_desert.jpg", diff --git a/catalog/summaries/models/collection.json b/catalog/summaries/models/collection.json index 24eee94bb0..af7ed2c9d9 100644 --- a/catalog/summaries/models/collection.json +++ b/catalog/summaries/models/collection.json @@ -392,13 +392,13 @@ ], "assets": { "data": { - "href": "s3://anonymous@bio230014-bucket01/vera4cast/forecasts/summaries/parquet/?endpoint_override=sdsc.osn.xsede.org", + "href": "\"s3://anonymous@bio230014-bucket01/vera4cast/forecasts/summaries/parquet/?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 forecasts of the variable by the specific model .\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/vera4cast/forecasts/summaries/parquet/?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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 forecasts of the variable by the specific model .\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/vera4cast/forecasts/summaries/parquet/?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `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": "pending", diff --git a/catalog/summaries/models/model_items/GLEON_JRabaey_temp_physics.json b/catalog/summaries/models/model_items/GLEON_JRabaey_temp_physics.json index 3880d1f764..9c3ef56270 100644 --- a/catalog/summaries/models/model_items/GLEON_JRabaey_temp_physics.json +++ b/catalog/summaries/models/model_items/GLEON_JRabaey_temp_physics.json @@ -55,11 +55,7 @@ "properties": { "description": "\nmodel info: NA\n\nSites: ARIK, BARC, BIGC, BLDE, BLUE, BLWA, CARI, COMO, CRAM, CUPE, FLNT, GUIL, HOPB, KING, LECO, LEWI, LIRO, MART, MAYF, MCDI, MCRA, OKSR, POSE, PRIN, PRLA, PRPO, REDB, SUGG, SYCA, TECR, TOMB, TOOK, WALK, WLOU\n\nVariables: Daily Water_temperature", "start_datetime": "2023-11-14", -<<<<<<< HEAD "end_datetime": "2024-01-07", -======= - "end_datetime": "2024-01-06", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/summaries/models/model_items/GLEON_lm_lag_1day.json b/catalog/summaries/models/model_items/GLEON_lm_lag_1day.json index 978e939652..da5f04dca0 100644 --- a/catalog/summaries/models/model_items/GLEON_lm_lag_1day.json +++ b/catalog/summaries/models/model_items/GLEON_lm_lag_1day.json @@ -28,11 +28,7 @@ "properties": { "description": "\nmodel info: NA\n\nSites: BARC, CRAM, LIRO, PRLA, PRPO, SUGG, TOOK\n\nVariables: Daily Dissolved_oxygen, Daily Water_temperature", "start_datetime": "2023-11-14", -<<<<<<< HEAD "end_datetime": "2024-01-08", -======= - "end_datetime": "2024-01-07", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/summaries/models/model_items/USGSHABs1.json b/catalog/summaries/models/model_items/USGSHABs1.json index 6e95f9e5e4..3098ddc5fc 100644 --- a/catalog/summaries/models/model_items/USGSHABs1.json +++ b/catalog/summaries/models/model_items/USGSHABs1.json @@ -24,11 +24,7 @@ "properties": { "description": "\nmodel info: NA\n\nSites: BLWA, TOMB, FLNT\n\nVariables: Daily Chlorophyll_a", "start_datetime": "2023-11-12", -<<<<<<< HEAD "end_datetime": "2024-01-08", -======= - "end_datetime": "2024-01-07", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/summaries/models/model_items/air2waterSat_2.json b/catalog/summaries/models/model_items/air2waterSat_2.json index 18b7f23e51..61e07a1c60 100644 --- a/catalog/summaries/models/model_items/air2waterSat_2.json +++ b/catalog/summaries/models/model_items/air2waterSat_2.json @@ -55,11 +55,7 @@ "properties": { "description": "\nmodel info: NA\n\nSites: TOMB, TOOK, WALK, WLOU, ARIK, BARC, BIGC, BLDE, BLUE, BLWA, CARI, COMO, CRAM, CUPE, FLNT, GUIL, HOPB, KING, LECO, LEWI, LIRO, MART, MAYF, MCDI, MCRA, OKSR, POSE, PRIN, PRLA, PRPO, REDB, SUGG, SYCA, TECR\n\nVariables: Daily Dissolved_oxygen, Daily Water_temperature", "start_datetime": "2023-11-14", -<<<<<<< HEAD "end_datetime": "2024-01-09", -======= - "end_datetime": "2024-01-08", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/summaries/models/model_items/baseline_ensemble.json b/catalog/summaries/models/model_items/baseline_ensemble.json index 5a60e57020..941e79c1b6 100644 --- a/catalog/summaries/models/model_items/baseline_ensemble.json +++ b/catalog/summaries/models/model_items/baseline_ensemble.json @@ -90,11 +90,7 @@ "properties": { "description": "\nmodel info: NA\n\nSites: STEI, STER, TALL, TEAK, TREE, UKFS, ARIK, BARC, BIGC, BLDE, BLUE, MCDI, MCRA, POSE, PRIN, REDB, DCFS, DELA, DSNY, GRSM, GUAN, UNDE, WOOD, WREF, YELL, LENO, MLBS, MOAB, NIWO, NOGP, SCBI, SERC, SJER, SOAP, SRER, HOPB, KING, LECO, LEWI, MART, MAYF, BLWA, COMO, CUPE, FLNT, GUIL, SUGG, SYCA, TECR, TOMB, WALK, WLOU, ABBY, BART, BLAN, CLBJ, CPER, JERC, JORN, KONA, KONZ, LAJA, HARV, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP\n\nVariables: Daily Red_chromatic_coordinate, Daily Water_temperature", "start_datetime": "2023-11-14", -<<<<<<< HEAD "end_datetime": "2024-01-04", -======= - "end_datetime": "2024-01-03", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/summaries/models/model_items/cb_f1.json b/catalog/summaries/models/model_items/cb_f1.json index 809780d1f9..51ae2ca2a4 100644 --- a/catalog/summaries/models/model_items/cb_f1.json +++ b/catalog/summaries/models/model_items/cb_f1.json @@ -55,11 +55,7 @@ "properties": { "description": [], "start_datetime": "2023-10-11", -<<<<<<< HEAD "end_datetime": "2024-10-30", -======= - "end_datetime": "2024-10-29", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/summaries/models/model_items/cb_prophet.json b/catalog/summaries/models/model_items/cb_prophet.json index 2dad78652a..d0943812e6 100644 --- a/catalog/summaries/models/model_items/cb_prophet.json +++ b/catalog/summaries/models/model_items/cb_prophet.json @@ -100,11 +100,7 @@ "properties": { "description": "\nmodel info: NA\n\nSites: 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, SCBI, MOAB, PUUM, BLWA, CARI, COMO, CRAM, CUPE, FLNT, GUIL, HOPB, KING, LECO, LEWI, LIRO, MART, MAYF, MCDI, MCRA, POSE, PRIN, PRLA, PRPO, REDB, SUGG, SYCA, TECR, TOMB, WALK, WLOU, YELL, BONA, GUAN, OSBS, ARIK, BARC, BIGC, BLDE, BLUE\n\nVariables: Daily Net_ecosystem_exchange, Daily Dissolved_oxygen, Daily Green_chromatic_coordinate, Daily latent_heat_flux, Daily Red_chromatic_coordinate, Daily Water_temperature, Daily Chlorophyll_a", "start_datetime": "2023-11-14", -<<<<<<< HEAD "end_datetime": "2024-01-08", -======= - "end_datetime": "2024-01-07", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/summaries/models/model_items/climatology.json b/catalog/summaries/models/model_items/climatology.json index 161b16f1f4..d3ff0bc6d1 100644 --- a/catalog/summaries/models/model_items/climatology.json +++ b/catalog/summaries/models/model_items/climatology.json @@ -96,11 +96,7 @@ "properties": { "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, ARIK, BARC, BIGC, BLDE, BLUE, BLWA, COMO, CUPE, FLNT, GUIL, HOPB, KING, LECO, LEWI, MART, MAYF, MCDI, MCRA, POSE, PRIN, REDB, SUGG, SYCA, TECR, TOMB, WALK, WLOU, DEJU, HEAL, TOOL, BARR, BONA, CARI\n\nVariables: Daily Green_chromatic_coordinate, Daily Dissolved_oxygen, 30min latent_heat_flux, Daily latent_heat_flux, 30min Net_ecosystem_exchange, Daily Net_ecosystem_exchange, Daily Chlorophyll_a, 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, ARIK, BARC, BIGC, BLDE, BLUE, BLWA, COMO, CUPE, FLNT, GUIL, HOPB, KING, LECO, LEWI, MART, MAYF, MCDI, MCRA, POSE, PRIN, REDB, SUGG, SYCA, TECR, TOMB, WALK, WLOU, DEJU, HEAL, TOOL, BARR, BONA, CARI\n\nVariables: Daily Green_chromatic_coordinate, Daily Dissolved_oxygen, 30min latent_heat_flux, Daily latent_heat_flux, 30min Net_ecosystem_exchange, Daily Net_ecosystem_exchange, Daily Chlorophyll_a, Daily Water_temperature, Daily Red_chromatic_coordinate"], "start_datetime": "2023-11-14", -<<<<<<< HEAD "end_datetime": "2024-01-11", -======= - "end_datetime": "2024-01-10", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/summaries/models/model_items/fARIMA.json b/catalog/summaries/models/model_items/fARIMA.json index 3f020d9e8b..b58ab86ee0 100644 --- a/catalog/summaries/models/model_items/fARIMA.json +++ b/catalog/summaries/models/model_items/fARIMA.json @@ -55,11 +55,7 @@ "properties": { "description": "\nmodel info: NA\n\nSites: BLWA, CARI, COMO, CRAM, CUPE, FLNT, GUIL, HOPB, KING, LECO, LEWI, LIRO, MART, MAYF, MCDI, MCRA, OKSR, POSE, PRIN, PRLA, PRPO, REDB, SUGG, SYCA, TECR, TOMB, TOOK, WALK, WLOU, ARIK, BARC, BIGC, BLDE, BLUE\n\nVariables: Daily Water_temperature", "start_datetime": "2023-11-10", -<<<<<<< HEAD "end_datetime": "2024-01-08", -======= - "end_datetime": "2024-01-07", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/summaries/models/model_items/fARIMA_clim_ensemble.json b/catalog/summaries/models/model_items/fARIMA_clim_ensemble.json index ce6096eb14..8cc1abb026 100644 --- a/catalog/summaries/models/model_items/fARIMA_clim_ensemble.json +++ b/catalog/summaries/models/model_items/fARIMA_clim_ensemble.json @@ -47,11 +47,7 @@ "properties": { "description": "\nmodel info: NA\n\nSites: LECO, LEWI, MART, MAYF, MCDI, MCRA, KING, POSE, REDB, COMO, CRAM, CUPE, FLNT, GUIL, HOPB, PRIN, SUGG, SYCA, ARIK, BARC, BLDE, BLUE, BLWA, WALK, WLOU, TOMB\n\nVariables: Daily Water_temperature", "start_datetime": "2023-11-10", -<<<<<<< HEAD "end_datetime": "2024-01-04", -======= - "end_datetime": "2024-01-03", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/summaries/models/model_items/fTSLM_lag.json b/catalog/summaries/models/model_items/fTSLM_lag.json index 7ab5cef69b..616d826991 100644 --- a/catalog/summaries/models/model_items/fTSLM_lag.json +++ b/catalog/summaries/models/model_items/fTSLM_lag.json @@ -55,11 +55,7 @@ "properties": { "description": "\nmodel info: NA\n\nSites: PRLA, PRPO, REDB, SUGG, SYCA, TECR, TOMB, TOOK, WALK, WLOU, ARIK, BARC, BIGC, BLDE, BLUE, BLWA, CARI, COMO, CRAM, CUPE, FLNT, GUIL, HOPB, KING, LECO, LEWI, LIRO, MART, MAYF, MCDI, MCRA, OKSR, POSE, PRIN\n\nVariables: Daily Water_temperature", "start_datetime": "2023-11-10", -<<<<<<< HEAD "end_datetime": "2024-01-08", -======= - "end_datetime": "2024-01-07", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/summaries/models/model_items/flareGLM.json b/catalog/summaries/models/model_items/flareGLM.json index 57ae1f3753..041ea2b5ee 100644 --- a/catalog/summaries/models/model_items/flareGLM.json +++ b/catalog/summaries/models/model_items/flareGLM.json @@ -28,11 +28,7 @@ "properties": { "description": "\nmodel info: NA\n\nSites: BARC, CRAM, LIRO, PRLA, PRPO, SUGG, TOOK\n\nVariables: Daily Water_temperature", "start_datetime": "2023-11-15", -<<<<<<< HEAD "end_datetime": "2024-01-05", -======= - "end_datetime": "2024-01-04", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/summaries/models/model_items/flareGLM_noDA.json b/catalog/summaries/models/model_items/flareGLM_noDA.json index 0a88cebbef..cc93e32ce4 100644 --- a/catalog/summaries/models/model_items/flareGLM_noDA.json +++ b/catalog/summaries/models/model_items/flareGLM_noDA.json @@ -28,11 +28,7 @@ "properties": { "description": "\nmodel info: NA\n\nSites: PRPO, SUGG, TOOK, BARC, CRAM, LIRO, PRLA\n\nVariables: Daily Water_temperature", "start_datetime": "2023-11-15", -<<<<<<< HEAD "end_datetime": "2024-01-05", -======= - "end_datetime": "2024-01-04", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/summaries/models/model_items/flareGOTM.json b/catalog/summaries/models/model_items/flareGOTM.json index c288b1ac47..e03020d9f9 100644 --- a/catalog/summaries/models/model_items/flareGOTM.json +++ b/catalog/summaries/models/model_items/flareGOTM.json @@ -27,11 +27,7 @@ "properties": { "description": "\nmodel info: NA\n\nSites: BARC, CRAM, LIRO, PRLA, PRPO, SUGG\n\nVariables: Daily Water_temperature", "start_datetime": "2023-11-15", -<<<<<<< HEAD "end_datetime": "2024-01-05", -======= - "end_datetime": "2024-01-04", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/summaries/models/model_items/flareGOTM_noDA.json b/catalog/summaries/models/model_items/flareGOTM_noDA.json index 34595f8ba8..25016295df 100644 --- a/catalog/summaries/models/model_items/flareGOTM_noDA.json +++ b/catalog/summaries/models/model_items/flareGOTM_noDA.json @@ -27,11 +27,7 @@ "properties": { "description": "\nmodel info: NA\n\nSites: PRPO, SUGG, BARC, CRAM, LIRO, PRLA\n\nVariables: Daily Water_temperature", "start_datetime": "2023-11-15", -<<<<<<< HEAD "end_datetime": "2024-01-05", -======= - "end_datetime": "2024-01-04", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/summaries/models/model_items/flareSimstrat.json b/catalog/summaries/models/model_items/flareSimstrat.json index da95fc2759..7ece32ff78 100644 --- a/catalog/summaries/models/model_items/flareSimstrat.json +++ b/catalog/summaries/models/model_items/flareSimstrat.json @@ -27,11 +27,7 @@ "properties": { "description": "\nmodel info: NA\n\nSites: BARC, CRAM, LIRO, PRLA, PRPO, SUGG\n\nVariables: Daily Water_temperature", "start_datetime": "2023-11-15", -<<<<<<< HEAD "end_datetime": "2024-01-05", -======= - "end_datetime": "2024-01-04", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/summaries/models/model_items/flareSimstrat_noDA.json b/catalog/summaries/models/model_items/flareSimstrat_noDA.json index e5bf3479fd..9550e0fcce 100644 --- a/catalog/summaries/models/model_items/flareSimstrat_noDA.json +++ b/catalog/summaries/models/model_items/flareSimstrat_noDA.json @@ -26,11 +26,7 @@ "properties": { "description": "\nmodel info: NA\n\nSites: SUGG, BARC, CRAM, PRLA, PRPO\n\nVariables: Daily Water_temperature", "start_datetime": "2023-11-15", -<<<<<<< HEAD "end_datetime": "2024-01-05", -======= - "end_datetime": "2024-01-04", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/summaries/models/model_items/flare_ler.json b/catalog/summaries/models/model_items/flare_ler.json index 31c0172f48..8b29457ffc 100644 --- a/catalog/summaries/models/model_items/flare_ler.json +++ b/catalog/summaries/models/model_items/flare_ler.json @@ -27,11 +27,7 @@ "properties": { "description": "\nmodel info: NA\n\nSites: BARC, CRAM, LIRO, PRLA, PRPO, SUGG\n\nVariables: Daily Water_temperature", "start_datetime": "2023-11-14", -<<<<<<< HEAD "end_datetime": "2024-01-04", -======= - "end_datetime": "2024-01-03", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/summaries/models/model_items/flare_ler_baselines.json b/catalog/summaries/models/model_items/flare_ler_baselines.json index 97e1b96655..58378525e7 100644 --- a/catalog/summaries/models/model_items/flare_ler_baselines.json +++ b/catalog/summaries/models/model_items/flare_ler_baselines.json @@ -23,11 +23,7 @@ "properties": { "description": "\nmodel info: NA\n\nSites: BARC, SUGG\n\nVariables: Daily Water_temperature", "start_datetime": "2023-11-14", -<<<<<<< HEAD "end_datetime": "2024-01-04", -======= - "end_datetime": "2024-01-03", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/summaries/models/model_items/lasso.json b/catalog/summaries/models/model_items/lasso.json index 9a21b4e062..9eea79df27 100644 --- a/catalog/summaries/models/model_items/lasso.json +++ b/catalog/summaries/models/model_items/lasso.json @@ -68,11 +68,7 @@ "properties": { "description": [], "start_datetime": "2023-11-14", -<<<<<<< HEAD "end_datetime": "2024-01-08", -======= - "end_datetime": "2024-01-07", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/summaries/models/model_items/persistenceRW.json b/catalog/summaries/models/model_items/persistenceRW.json index 5a2e74baa5..a244f1ee6f 100644 --- a/catalog/summaries/models/model_items/persistenceRW.json +++ b/catalog/summaries/models/model_items/persistenceRW.json @@ -102,11 +102,7 @@ "properties": { "description": ["\nmodel info: Random walk from the fable package with ensembles used to represent uncertainty\n\nSites: SJER, SOAP, SRER, STEI, STER, TALL, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, JERC, JORN, KONA, KONZ, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, DELA, DSNY, GRSM, GUAN, HARV, HEAL, PRIN, PRLA, PRPO, REDB, SUGG, ABBY, WOOD, WREF, YELL, LIRO, TOMB, TOOK, BARR, BART, BLAN, BONA, SCBI, SERC, UNDE, MCDI, MCRA, OKSR, POSE, TOOL, TREE, UKFS, CUPE, FLNT, GUIL, HOPB, KING, TECR, WALK, LECO, LEWI, MART, MAYF, SYCA, WLOU, BLWA, CARI, COMO, CRAM, BLUE, CLBJ, CPER, DCFS, DEJU, TEAK, ARIK, BARC, BIGC, BLDE\n\nVariables: Daily Net_ecosystem_exchange, Daily Red_chromatic_coordinate, Daily Green_chromatic_coordinate, Daily Dissolved_oxygen, Daily Chlorophyll_a, Daily Water_temperature", "\nmodel info: NA\n\nSites: SJER, SOAP, SRER, STEI, STER, TALL, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, JERC, JORN, KONA, KONZ, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, DELA, DSNY, GRSM, GUAN, HARV, HEAL, PRIN, PRLA, PRPO, REDB, SUGG, ABBY, WOOD, WREF, YELL, LIRO, TOMB, TOOK, BARR, BART, BLAN, BONA, SCBI, SERC, UNDE, MCDI, MCRA, OKSR, POSE, TOOL, TREE, UKFS, CUPE, FLNT, GUIL, HOPB, KING, TECR, WALK, LECO, LEWI, MART, MAYF, SYCA, WLOU, BLWA, CARI, COMO, CRAM, BLUE, CLBJ, CPER, DCFS, DEJU, TEAK, ARIK, BARC, BIGC, BLDE\n\nVariables: Daily Net_ecosystem_exchange, Daily Red_chromatic_coordinate, Daily Green_chromatic_coordinate, Daily Dissolved_oxygen, Daily Chlorophyll_a, Daily Water_temperature"], "start_datetime": "2023-11-15", -<<<<<<< HEAD "end_datetime": "2024-01-09", -======= - "end_datetime": "2024-01-08", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/summaries/models/model_items/procBlanchardMonod.json b/catalog/summaries/models/model_items/procBlanchardMonod.json index 562c24ba34..7250382014 100644 --- a/catalog/summaries/models/model_items/procBlanchardMonod.json +++ b/catalog/summaries/models/model_items/procBlanchardMonod.json @@ -28,11 +28,7 @@ "properties": { "description": "\nmodel info: NA\n\nSites: BARC, CRAM, LIRO, PRLA, PRPO, SUGG, TOOK\n\nVariables: Daily Chlorophyll_a", "start_datetime": "2023-11-13", -<<<<<<< HEAD "end_datetime": "2024-01-04", -======= - "end_datetime": "2024-01-03", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/summaries/models/model_items/procBlanchardSteele.json b/catalog/summaries/models/model_items/procBlanchardSteele.json index fa83a997dc..9d5fa5d823 100644 --- a/catalog/summaries/models/model_items/procBlanchardSteele.json +++ b/catalog/summaries/models/model_items/procBlanchardSteele.json @@ -28,11 +28,7 @@ "properties": { "description": [], "start_datetime": "2023-11-13", -<<<<<<< HEAD "end_datetime": "2024-01-04", -======= - "end_datetime": "2024-01-03", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/summaries/models/model_items/procCTMIMonod.json b/catalog/summaries/models/model_items/procCTMIMonod.json index 4e7f35272d..6671c00ecc 100644 --- a/catalog/summaries/models/model_items/procCTMIMonod.json +++ b/catalog/summaries/models/model_items/procCTMIMonod.json @@ -28,11 +28,7 @@ "properties": { "description": "\nmodel info: NA\n\nSites: BARC, CRAM, LIRO, PRLA, PRPO, SUGG, TOOK\n\nVariables: Daily Chlorophyll_a", "start_datetime": "2023-11-13", -<<<<<<< HEAD "end_datetime": "2024-01-04", -======= - "end_datetime": "2024-01-03", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/summaries/models/model_items/procCTMISteele.json b/catalog/summaries/models/model_items/procCTMISteele.json index 8837389f81..53c8b22048 100644 --- a/catalog/summaries/models/model_items/procCTMISteele.json +++ b/catalog/summaries/models/model_items/procCTMISteele.json @@ -28,11 +28,7 @@ "properties": { "description": [], "start_datetime": "2023-11-13", -<<<<<<< HEAD "end_datetime": "2024-01-04", -======= - "end_datetime": "2024-01-03", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/summaries/models/model_items/procEppleyNorbergMonod.json b/catalog/summaries/models/model_items/procEppleyNorbergMonod.json index cb223ce432..7938fa2a70 100644 --- a/catalog/summaries/models/model_items/procEppleyNorbergMonod.json +++ b/catalog/summaries/models/model_items/procEppleyNorbergMonod.json @@ -28,11 +28,7 @@ "properties": { "description": "\nmodel info: NA\n\nSites: BARC, CRAM, LIRO, PRLA, PRPO, SUGG, TOOK\n\nVariables: Daily Chlorophyll_a", "start_datetime": "2023-11-13", -<<<<<<< HEAD "end_datetime": "2024-01-04", -======= - "end_datetime": "2024-01-03", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/summaries/models/model_items/procEppleyNorbergSteele.json b/catalog/summaries/models/model_items/procEppleyNorbergSteele.json index 41dddbfa8f..669fa2aba5 100644 --- a/catalog/summaries/models/model_items/procEppleyNorbergSteele.json +++ b/catalog/summaries/models/model_items/procEppleyNorbergSteele.json @@ -28,11 +28,7 @@ "properties": { "description": "\nmodel info: NA\n\nSites: BARC, CRAM, LIRO, PRLA, PRPO, SUGG, TOOK\n\nVariables: Daily Chlorophyll_a", "start_datetime": "2023-11-13", -<<<<<<< HEAD "end_datetime": "2024-01-04", -======= - "end_datetime": "2024-01-03", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/summaries/models/model_items/procHinshelwoodMonod.json b/catalog/summaries/models/model_items/procHinshelwoodMonod.json index 9ea21429ee..5d8f7851f9 100644 --- a/catalog/summaries/models/model_items/procHinshelwoodMonod.json +++ b/catalog/summaries/models/model_items/procHinshelwoodMonod.json @@ -28,11 +28,7 @@ "properties": { "description": "\nmodel info: NA\n\nSites: BARC, CRAM, LIRO, PRLA, PRPO, SUGG, TOOK\n\nVariables: Daily Chlorophyll_a", "start_datetime": "2023-11-13", -<<<<<<< HEAD "end_datetime": "2024-01-04", -======= - "end_datetime": "2024-01-03", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/summaries/models/model_items/procHinshelwoodSteele.json b/catalog/summaries/models/model_items/procHinshelwoodSteele.json index 644d2bfd9d..3112d91f85 100644 --- a/catalog/summaries/models/model_items/procHinshelwoodSteele.json +++ b/catalog/summaries/models/model_items/procHinshelwoodSteele.json @@ -28,11 +28,7 @@ "properties": { "description": "\nmodel info: NA\n\nSites: BARC, CRAM, LIRO, PRLA, PRPO, SUGG, TOOK\n\nVariables: Daily Chlorophyll_a", "start_datetime": "2023-11-13", -<<<<<<< HEAD "end_datetime": "2024-01-04", -======= - "end_datetime": "2024-01-03", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/summaries/models/model_items/prophet_clim_ensemble.json b/catalog/summaries/models/model_items/prophet_clim_ensemble.json index cb29d70626..397b0c421d 100644 --- a/catalog/summaries/models/model_items/prophet_clim_ensemble.json +++ b/catalog/summaries/models/model_items/prophet_clim_ensemble.json @@ -63,11 +63,7 @@ "properties": { "description": [], "start_datetime": "2023-11-13", -<<<<<<< HEAD "end_datetime": "2024-01-04", -======= - "end_datetime": "2024-01-03", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/summaries/models/model_items/randfor.json b/catalog/summaries/models/model_items/randfor.json index b20e6bd453..f28f8463b4 100644 --- a/catalog/summaries/models/model_items/randfor.json +++ b/catalog/summaries/models/model_items/randfor.json @@ -68,11 +68,7 @@ "properties": { "description": [], "start_datetime": "2023-11-14", -<<<<<<< HEAD "end_datetime": "2024-01-08", -======= - "end_datetime": "2024-01-07", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/summaries/models/model_items/tg_bag_mlp.json b/catalog/summaries/models/model_items/tg_bag_mlp.json index ea3c1ec638..dec74f92ce 100644 --- a/catalog/summaries/models/model_items/tg_bag_mlp.json +++ b/catalog/summaries/models/model_items/tg_bag_mlp.json @@ -102,11 +102,7 @@ "properties": { "description": [], "start_datetime": "2023-11-14", -<<<<<<< HEAD "end_datetime": "2024-01-08", -======= - "end_datetime": "2024-01-07", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/summaries/models/model_items/tg_humidity_lm.json b/catalog/summaries/models/model_items/tg_humidity_lm.json index 557607717a..c70af2b105 100644 --- a/catalog/summaries/models/model_items/tg_humidity_lm.json +++ b/catalog/summaries/models/model_items/tg_humidity_lm.json @@ -102,11 +102,7 @@ "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, 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 Net_ecosystem_exchange, Daily Green_chromatic_coordinate, Daily latent_heat_flux, Daily Chlorophyll_a, Daily Red_chromatic_coordinate, Daily Dissolved_oxygen, Daily Water_temperature, Weekly beetle_community_abundance, Weekly beetle_community_richness, Weekly Amblyomma_americanum_population", "start_datetime": "2023-11-14", -<<<<<<< HEAD "end_datetime": "2024-01-09", -======= - "end_datetime": "2024-01-08", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/summaries/models/model_items/tg_humidity_lm_all_sites.json b/catalog/summaries/models/model_items/tg_humidity_lm_all_sites.json index 158ac599e2..3b61ccbf53 100644 --- a/catalog/summaries/models/model_items/tg_humidity_lm_all_sites.json +++ b/catalog/summaries/models/model_items/tg_humidity_lm_all_sites.json @@ -102,11 +102,7 @@ "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, OKSR, POSE, PRIN, REDB, SYCA, TECR, WALK, WLOU, ARIK, BIGC, BLDE, BLUE, CARI, COMO, CUPE, GUIL, HOPB, KING, LECO, LEWI, MART, MAYF, MCDI, MCRA\n\nVariables: Daily Red_chromatic_coordinate, Daily Net_ecosystem_exchange, Daily Green_chromatic_coordinate, Daily latent_heat_flux, Daily Chlorophyll_a, Daily Water_temperature, Daily Dissolved_oxygen, Weekly beetle_community_abundance, Weekly beetle_community_richness, Weekly Amblyomma_americanum_population", "start_datetime": "2023-11-14", -<<<<<<< HEAD "end_datetime": "2024-01-09", -======= - "end_datetime": "2024-01-08", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/summaries/models/model_items/tg_lasso.json b/catalog/summaries/models/model_items/tg_lasso.json index b94edcef7c..3ed5e066b7 100644 --- a/catalog/summaries/models/model_items/tg_lasso.json +++ b/catalog/summaries/models/model_items/tg_lasso.json @@ -102,11 +102,7 @@ "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, ARIK, BARC, BIGC, BLDE, BLUE, BLWA, CARI, COMO, CRAM, CUPE, FLNT, GUIL, HOPB, KING, LECO, LEWI, LIRO, MART, MAYF, MCDI, MCRA, OKSR, POSE, PRIN, PRLA, PRPO, REDB, SUGG, SYCA, TECR, TOOK, WALK, WLOU, TOMB\n\nVariables: Daily Green_chromatic_coordinate, Daily Red_chromatic_coordinate, Daily Dissolved_oxygen, Daily Water_temperature, Daily Chlorophyll_a, Weekly beetle_community_abundance, Weekly beetle_community_richness, Weekly Amblyomma_americanum_population", "start_datetime": "2023-11-14", -<<<<<<< HEAD "end_datetime": "2024-01-09", -======= - "end_datetime": "2024-01-08", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/summaries/models/model_items/tg_lasso_all_sites.json b/catalog/summaries/models/model_items/tg_lasso_all_sites.json index 90b82d7454..25cc88b769 100644 --- a/catalog/summaries/models/model_items/tg_lasso_all_sites.json +++ b/catalog/summaries/models/model_items/tg_lasso_all_sites.json @@ -102,11 +102,7 @@ "properties": { "description": [], "start_datetime": "2023-11-14", -<<<<<<< HEAD "end_datetime": "2024-01-08", -======= - "end_datetime": "2024-01-07", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/summaries/models/model_items/tg_precip_lm.json b/catalog/summaries/models/model_items/tg_precip_lm.json index 661e4bc8bd..6090237141 100644 --- a/catalog/summaries/models/model_items/tg_precip_lm.json +++ b/catalog/summaries/models/model_items/tg_precip_lm.json @@ -102,11 +102,7 @@ "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, SYCA, TECR, TOMB, TOOK, WALK, WLOU, ARIK, BARC, BIGC, BLDE, BLUE, BLWA, CARI, COMO, CRAM, CUPE, FLNT, GUIL, HOPB, KING, LECO, LEWI, LIRO, MART, MAYF, MCDI, MCRA, OKSR, POSE, PRIN, PRLA, PRPO, REDB, SUGG\n\nVariables: Daily Green_chromatic_coordinate, Daily latent_heat_flux, Daily Red_chromatic_coordinate, Daily Net_ecosystem_exchange, Daily Dissolved_oxygen, Daily Water_temperature, Daily Chlorophyll_a, Weekly beetle_community_abundance, Weekly beetle_community_richness, Weekly Amblyomma_americanum_population", "start_datetime": "2023-11-14", -<<<<<<< HEAD "end_datetime": "2024-01-09", -======= - "end_datetime": "2024-01-08", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/summaries/models/model_items/tg_precip_lm_all_sites.json b/catalog/summaries/models/model_items/tg_precip_lm_all_sites.json index ea5908bc52..90f23f54fd 100644 --- a/catalog/summaries/models/model_items/tg_precip_lm_all_sites.json +++ b/catalog/summaries/models/model_items/tg_precip_lm_all_sites.json @@ -102,11 +102,7 @@ "properties": { "description": "\nmodel info: NA\n\nSites: TOMB, TOOK, WALK, WLOU, ARIK, BARC, BIGC, BLDE, BLUE, BLWA, CARI, COMO, CRAM, CUPE, FLNT, GUIL, HOPB, KING, LECO, LEWI, LIRO, MART, MAYF, MCDI, MCRA, OKSR, POSE, PRIN, PRLA, PRPO, REDB, SUGG, SYCA, TECR, 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, DEJU, DELA, DSNY, GRSM\n\nVariables: Daily Dissolved_oxygen, Daily Red_chromatic_coordinate, Daily Net_ecosystem_exchange, Daily latent_heat_flux, Daily Chlorophyll_a, Daily Green_chromatic_coordinate, Daily Water_temperature, Weekly beetle_community_abundance, Weekly beetle_community_richness, Weekly Amblyomma_americanum_population", "start_datetime": "2023-11-14", -<<<<<<< HEAD "end_datetime": "2024-01-09", -======= - "end_datetime": "2024-01-08", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/summaries/models/model_items/tg_randfor.json b/catalog/summaries/models/model_items/tg_randfor.json index f5d82ef543..4fb1d971a4 100644 --- a/catalog/summaries/models/model_items/tg_randfor.json +++ b/catalog/summaries/models/model_items/tg_randfor.json @@ -102,11 +102,7 @@ "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, ARIK, BARC, BIGC, BLDE, BLUE, BLWA, CARI, COMO, CRAM, CUPE, FLNT, GUIL, HOPB, KING, LECO, LEWI, LIRO, MART, MAYF, MCDI, MCRA, OKSR, POSE, PRIN, PRLA, PRPO, REDB, SUGG, SYCA, TECR, ABBY, BARR, BART, BLAN, BONA, CLBJ, CPER, DCFS, DEJU, DELA, DSNY, GRSM, GUAN, HARV, HEAL, JERC, TOOK, WALK, WLOU, TOMB\n\nVariables: Daily latent_heat_flux, Daily Dissolved_oxygen, Daily Green_chromatic_coordinate, Daily Red_chromatic_coordinate, Daily Water_temperature, Daily Net_ecosystem_exchange, Daily Chlorophyll_a, Weekly beetle_community_abundance, Weekly beetle_community_richness, Weekly Amblyomma_americanum_population", "start_datetime": "2023-11-14", -<<<<<<< HEAD "end_datetime": "2024-01-08", -======= - "end_datetime": "2024-01-07", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/summaries/models/model_items/tg_randfor_all_sites.json b/catalog/summaries/models/model_items/tg_randfor_all_sites.json index d98b3d00af..000adb0093 100644 --- a/catalog/summaries/models/model_items/tg_randfor_all_sites.json +++ b/catalog/summaries/models/model_items/tg_randfor_all_sites.json @@ -102,11 +102,7 @@ "properties": { "description": [], "start_datetime": "2023-11-14", -<<<<<<< HEAD "end_datetime": "2024-01-08", -======= - "end_datetime": "2024-01-07", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/summaries/models/model_items/tg_temp_lm.json b/catalog/summaries/models/model_items/tg_temp_lm.json index 0d002a0378..6a10eb5efd 100644 --- a/catalog/summaries/models/model_items/tg_temp_lm.json +++ b/catalog/summaries/models/model_items/tg_temp_lm.json @@ -102,11 +102,7 @@ "properties": { "description": "\nmodel info: NA\n\nSites: ARIK, BARC, BIGC, BLDE, BLUE, BLWA, CARI, COMO, CRAM, CUPE, FLNT, GUIL, HOPB, KING, LECO, LEWI, LIRO, MART, MAYF, MCDI, MCRA, OKSR, POSE, PRIN, PRLA, PRPO, REDB, SUGG, SYCA, 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, TECR, TOMB, TOOK, WALK, WLOU, SERC, SJER, SOAP, SRER, STEI, STER, TALL, TEAK, TOOL, TREE, UKFS, UNDE, WOOD, WREF, YELL\n\nVariables: Daily Dissolved_oxygen, Daily Green_chromatic_coordinate, Daily Red_chromatic_coordinate, Daily Water_temperature, Daily Chlorophyll_a, Daily latent_heat_flux, Daily Net_ecosystem_exchange, Weekly beetle_community_abundance, Weekly beetle_community_richness, Weekly Amblyomma_americanum_population", "start_datetime": "2023-11-14", -<<<<<<< HEAD "end_datetime": "2024-01-09", -======= - "end_datetime": "2024-01-08", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/summaries/models/model_items/tg_temp_lm_all_sites.json b/catalog/summaries/models/model_items/tg_temp_lm_all_sites.json index d7561df4bc..58a0872872 100644 --- a/catalog/summaries/models/model_items/tg_temp_lm_all_sites.json +++ b/catalog/summaries/models/model_items/tg_temp_lm_all_sites.json @@ -102,11 +102,7 @@ "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, TOOK, WALK, WLOU, ARIK, BARC, BIGC, BLDE, BLUE, BLWA, CARI, COMO, CRAM, CUPE, FLNT, GUIL, HOPB, KING, LECO, LEWI, LIRO, MART, MAYF, MCDI, MCRA, OKSR, POSE, PRIN, PRLA, PRPO, REDB, SUGG, SYCA, TECR, TOMB\n\nVariables: Daily Red_chromatic_coordinate, Daily Dissolved_oxygen, Daily Green_chromatic_coordinate, Daily latent_heat_flux, Daily Chlorophyll_a, Daily Net_ecosystem_exchange, Daily Water_temperature, Weekly beetle_community_abundance, Weekly beetle_community_richness, Weekly Amblyomma_americanum_population", "start_datetime": "2023-11-14", -<<<<<<< HEAD "end_datetime": "2024-01-09", -======= - "end_datetime": "2024-01-08", ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 "providers": [ { "url": "pending", diff --git a/catalog/targets/collection.json b/catalog/targets/collection.json index 77cb6bee20..9ca41a98a9 100644 --- a/catalog/targets/collection.json +++ b/catalog/targets/collection.json @@ -58,11 +58,7 @@ "interval": [ [ "2013-08-30T00:00:00Z", -<<<<<<< HEAD "2023-12-06T00:00:00Z" -======= - "2023-12-05T00:00:00Z" ->>>>>>> 97a9410ae26143f721542ee168dffa6c1ef4cef1 ] ] }