Skip to content

Commit

Permalink
update catalog
Browse files Browse the repository at this point in the history
  • Loading branch information
github-actions committed Jan 18, 2024
1 parent 798a681 commit 4b07b60
Show file tree
Hide file tree
Showing 6 changed files with 90 additions and 240 deletions.
55 changes: 15 additions & 40 deletions catalog/noaa_forecasts/Pseudo/collection.json
Original file line number Diff line number Diff line change
Expand Up @@ -52,42 +52,32 @@
"temporal": {
"interval": [
[
"2020-09-25T00:00:00Z",
"2024-02-11T00:00:00Z"
"2020-09-26T00:00:00Z",
"2024-02-20T00:00:00Z"
]
]
}
},
"table:columns": [
{
"name": "site_id",
"type": "string",
"description": "For forecasts that are not on a spatial grid, use of a site dimension that maps to a more detailed geometry (points, polygons, etc.) is allowable. In general this would be documented in the external metadata (e.g., alook-up table that provides lon and lat)"
"name": "parameter",
"type": "double",
"description": "ensemble member or distribution parameter"
},
{
"name": "prediction",
"type": "double",
"description": "predicted value for variable"
"name": "datetime",
"type": "timestamp[us, tz=UTC]",
"description": "datetime of the forecasted value (ISO 8601)"
},
{
"name": "variable",
"type": "string",
"description": "name of forecasted variable"
},
{
"name": "height",
"type": "string",
"description": "variable height"
},
{
"name": "horizon",
"name": "prediction",
"type": "double",
"description": "number of days in forecast"
},
{
"name": "parameter",
"type": "int32",
"description": "ensemble member or distribution parameter"
"description": "predicted value for variable"
},
{
"name": "family",
Expand All @@ -96,39 +86,24 @@
},
{
"name": "reference_datetime",
"type": "timestamp[us, tz=UTC]",
"type": "string",
"description": "datetime that the forecast was initiated (horizon = 0)"
},
{
"name": "forecast_valid",
"name": "site_id",
"type": "string",
"description": "date when forecast is valid"
},
{
"name": "datetime",
"type": "timestamp[us, tz=UTC]",
"description": "datetime of the forecasted value (ISO 8601)"
},
{
"name": "longitude",
"type": "double",
"description": "forecast site longitude"
},
{
"name": "latitude",
"type": "double",
"description": "forecast site latitude"
"description": "For forecasts that are not on a spatial grid, use of a site dimension that maps to a more detailed geometry (points, polygons, etc.) is allowable. In general this would be documented in the external metadata (e.g., alook-up table that provides lon and lat)"
}
],
"assets": {
"data": {
"href": "\"s3://anonymous@drivers/noaa/gefs-v12-reprocess/pseudo/parquet/0?endpoint_override=s3.flare-forecast.org\"",
"href": "\"s3://anonymous@bio230014-bucket01/neon4cast-drivers/noaa/gefs-v12pseudo/parquet/0?endpoint_override=sdsc.osn.xsede.org\"",
"type": "application/x-parquet",
"title": "Database Access",
"roles": [
"data"
],
"description": "Use `arrow` for remote access to the database. This R code will return results for NEON forecasts associated with the forecasting challenge.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@drivers/noaa/gefs-v12-reprocess/pseudo/parquet/0?endpoint_override=s3.flare-forecast.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
"description": "Use `arrow` for remote access to the database. This R code will return results for NEON forecasts associated with the forecasting challenge.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/neon4cast-drivers/noaa/gefs-v12pseudo/parquet/0?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
},
"thumbnail": {
"href": "https://raw.githubusercontent.com/eco4cast/neon4cast-ci/main/catalog/thumbnail_plots/neon_wetland.jpg",
Expand Down
55 changes: 15 additions & 40 deletions catalog/noaa_forecasts/Stage1-stats/collection.json
Original file line number Diff line number Diff line change
Expand Up @@ -52,42 +52,32 @@
"temporal": {
"interval": [
[
"2020-09-25T00:00:00Z",
"2024-02-11T00:00:00Z"
"2020-09-26T00:00:00Z",
"2024-02-20T00:00:00Z"
]
]
}
},
"table:columns": [
{
"name": "site_id",
"type": "string",
"description": "For forecasts that are not on a spatial grid, use of a site dimension that maps to a more detailed geometry (points, polygons, etc.) is allowable. In general this would be documented in the external metadata (e.g., alook-up table that provides lon and lat)"
"name": "parameter",
"type": "double",
"description": "ensemble member or distribution parameter"
},
{
"name": "prediction",
"type": "double",
"description": "predicted value for variable"
"name": "datetime",
"type": "timestamp[us, tz=UTC]",
"description": "datetime of the forecasted value (ISO 8601)"
},
{
"name": "variable",
"type": "string",
"description": "name of forecasted variable"
},
{
"name": "height",
"type": "string",
"description": "variable height"
},
{
"name": "horizon",
"name": "prediction",
"type": "double",
"description": "number of days in forecast"
},
{
"name": "parameter",
"type": "int32",
"description": "ensemble member or distribution parameter"
"description": "predicted value for variable"
},
{
"name": "family",
Expand All @@ -96,39 +86,24 @@
},
{
"name": "reference_datetime",
"type": "timestamp[us, tz=UTC]",
"type": "string",
"description": "datetime that the forecast was initiated (horizon = 0)"
},
{
"name": "forecast_valid",
"name": "site_id",
"type": "string",
"description": "date when forecast is valid"
},
{
"name": "datetime",
"type": "timestamp[us, tz=UTC]",
"description": "datetime of the forecasted value (ISO 8601)"
},
{
"name": "longitude",
"type": "double",
"description": "forecast site longitude"
},
{
"name": "latitude",
"type": "double",
"description": "forecast site latitude"
"description": "For forecasts that are not on a spatial grid, use of a site dimension that maps to a more detailed geometry (points, polygons, etc.) is allowable. In general this would be documented in the external metadata (e.g., alook-up table that provides lon and lat)"
}
],
"assets": {
"data": {
"href": "\"s3://anonymous@drivers/noaa/gefs-v12-reprocess/stage1-stats/parquet/0?endpoint_override=s3.flare-forecast.org\"",
"href": "\"s3://anonymous@bio230014-bucket01/neon4cast-drivers/noaa/gefs-v12stage1-stats/parquet/0?endpoint_override=sdsc.osn.xsede.org\"",
"type": "application/x-parquet",
"title": "Database Access",
"roles": [
"data"
],
"description": "Use `arrow` for remote access to the database. This R code will return results for NEON forecasts associated with the forecasting challenge.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@drivers/noaa/gefs-v12-reprocess/stage1-stats/parquet/0?endpoint_override=s3.flare-forecast.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
"description": "Use `arrow` for remote access to the database. This R code will return results for NEON forecasts associated with the forecasting challenge.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/neon4cast-drivers/noaa/gefs-v12stage1-stats/parquet/0?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
},
"thumbnail": {
"href": "https://raw.githubusercontent.com/eco4cast/neon4cast-ci/main/catalog/thumbnail_plots/neon_wetland.jpg",
Expand Down
55 changes: 15 additions & 40 deletions catalog/noaa_forecasts/Stage1/collection.json
Original file line number Diff line number Diff line change
Expand Up @@ -52,42 +52,32 @@
"temporal": {
"interval": [
[
"2020-09-25T00:00:00Z",
"2024-02-11T00:00:00Z"
"2020-09-26T00:00:00Z",
"2024-02-20T00:00:00Z"
]
]
}
},
"table:columns": [
{
"name": "site_id",
"type": "string",
"description": "For forecasts that are not on a spatial grid, use of a site dimension that maps to a more detailed geometry (points, polygons, etc.) is allowable. In general this would be documented in the external metadata (e.g., alook-up table that provides lon and lat)"
"name": "parameter",
"type": "double",
"description": "ensemble member or distribution parameter"
},
{
"name": "prediction",
"type": "double",
"description": "predicted value for variable"
"name": "datetime",
"type": "timestamp[us, tz=UTC]",
"description": "datetime of the forecasted value (ISO 8601)"
},
{
"name": "variable",
"type": "string",
"description": "name of forecasted variable"
},
{
"name": "height",
"type": "string",
"description": "variable height"
},
{
"name": "horizon",
"name": "prediction",
"type": "double",
"description": "number of days in forecast"
},
{
"name": "parameter",
"type": "int32",
"description": "ensemble member or distribution parameter"
"description": "predicted value for variable"
},
{
"name": "family",
Expand All @@ -96,39 +86,24 @@
},
{
"name": "reference_datetime",
"type": "timestamp[us, tz=UTC]",
"type": "string",
"description": "datetime that the forecast was initiated (horizon = 0)"
},
{
"name": "forecast_valid",
"name": "site_id",
"type": "string",
"description": "date when forecast is valid"
},
{
"name": "datetime",
"type": "timestamp[us, tz=UTC]",
"description": "datetime of the forecasted value (ISO 8601)"
},
{
"name": "longitude",
"type": "double",
"description": "forecast site longitude"
},
{
"name": "latitude",
"type": "double",
"description": "forecast site latitude"
"description": "For forecasts that are not on a spatial grid, use of a site dimension that maps to a more detailed geometry (points, polygons, etc.) is allowable. In general this would be documented in the external metadata (e.g., alook-up table that provides lon and lat)"
}
],
"assets": {
"data": {
"href": "\"s3://anonymous@drivers/noaa/gefs-v12-reprocess/stage1/parquet/0?endpoint_override=s3.flare-forecast.org\"",
"href": "\"s3://anonymous@bio230014-bucket01/neon4cast-drivers/noaa/gefs-v12stage1/parquet/0?endpoint_override=sdsc.osn.xsede.org\"",
"type": "application/x-parquet",
"title": "Database Access",
"roles": [
"data"
],
"description": "Use `arrow` for remote access to the database. This R code will return results for NEON forecasts associated with the forecasting challenge.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@drivers/noaa/gefs-v12-reprocess/stage1/parquet/0?endpoint_override=s3.flare-forecast.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
"description": "Use `arrow` for remote access to the database. This R code will return results for NEON forecasts associated with the forecasting challenge.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/neon4cast-drivers/noaa/gefs-v12stage1/parquet/0?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
},
"thumbnail": {
"href": "https://raw.githubusercontent.com/eco4cast/neon4cast-ci/main/catalog/thumbnail_plots/neon_wetland.jpg",
Expand Down
55 changes: 15 additions & 40 deletions catalog/noaa_forecasts/Stage2/collection.json
Original file line number Diff line number Diff line change
Expand Up @@ -52,42 +52,32 @@
"temporal": {
"interval": [
[
"2020-09-25T00:00:00Z",
"2024-02-11T00:00:00Z"
"2020-09-26T00:00:00Z",
"2024-02-20T00:00:00Z"
]
]
}
},
"table:columns": [
{
"name": "site_id",
"type": "string",
"description": "For forecasts that are not on a spatial grid, use of a site dimension that maps to a more detailed geometry (points, polygons, etc.) is allowable. In general this would be documented in the external metadata (e.g., alook-up table that provides lon and lat)"
"name": "parameter",
"type": "double",
"description": "ensemble member or distribution parameter"
},
{
"name": "prediction",
"type": "double",
"description": "predicted value for variable"
"name": "datetime",
"type": "timestamp[us, tz=UTC]",
"description": "datetime of the forecasted value (ISO 8601)"
},
{
"name": "variable",
"type": "string",
"description": "name of forecasted variable"
},
{
"name": "height",
"type": "string",
"description": "variable height"
},
{
"name": "horizon",
"name": "prediction",
"type": "double",
"description": "number of days in forecast"
},
{
"name": "parameter",
"type": "int32",
"description": "ensemble member or distribution parameter"
"description": "predicted value for variable"
},
{
"name": "family",
Expand All @@ -96,39 +86,24 @@
},
{
"name": "reference_datetime",
"type": "timestamp[us, tz=UTC]",
"type": "string",
"description": "datetime that the forecast was initiated (horizon = 0)"
},
{
"name": "forecast_valid",
"name": "site_id",
"type": "string",
"description": "date when forecast is valid"
},
{
"name": "datetime",
"type": "timestamp[us, tz=UTC]",
"description": "datetime of the forecasted value (ISO 8601)"
},
{
"name": "longitude",
"type": "double",
"description": "forecast site longitude"
},
{
"name": "latitude",
"type": "double",
"description": "forecast site latitude"
"description": "For forecasts that are not on a spatial grid, use of a site dimension that maps to a more detailed geometry (points, polygons, etc.) is allowable. In general this would be documented in the external metadata (e.g., alook-up table that provides lon and lat)"
}
],
"assets": {
"data": {
"href": "\"s3://anonymous@drivers/noaa/gefs-v12-reprocess/stage2/parquet/0?endpoint_override=s3.flare-forecast.org\"",
"href": "\"s3://anonymous@bio230014-bucket01/neon4cast-drivers/noaa/gefs-v12stage2/parquet/0?endpoint_override=sdsc.osn.xsede.org\"",
"type": "application/x-parquet",
"title": "Database Access",
"roles": [
"data"
],
"description": "Use `arrow` for remote access to the database. This R code will return results for NEON forecasts associated with the forecasting challenge.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@drivers/noaa/gefs-v12-reprocess/stage2/parquet/0?endpoint_override=s3.flare-forecast.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
"description": "Use `arrow` for remote access to the database. This R code will return results for NEON forecasts associated with the forecasting challenge.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/neon4cast-drivers/noaa/gefs-v12stage2/parquet/0?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
},
"thumbnail": {
"href": "https://raw.githubusercontent.com/eco4cast/neon4cast-ci/main/catalog/thumbnail_plots/neon_wetland.jpg",
Expand Down
Loading

0 comments on commit 4b07b60

Please sign in to comment.