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baloola committed Oct 14, 2024
2 parents e52567f + 949e330 commit be34cc7
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2 changes: 1 addition & 1 deletion .github/workflows/pages.yml
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Expand Up @@ -28,7 +28,7 @@ jobs:
environment:
name: github-pages
url: ${{ steps.deployment.outputs.page_url }}
runs-on: ubuntu-latest
runs-on: ubuntu-22.04
steps:
- name: Checkout
uses: actions/checkout@v3
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2 changes: 1 addition & 1 deletion .github/workflows/tests.yml
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Expand Up @@ -13,7 +13,7 @@ on:

jobs:
test:
runs-on: ubuntu-latest
runs-on: ubuntu-22.04
steps:
- name: Checkout
uses: actions/checkout@v3
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2 changes: 2 additions & 0 deletions README.md
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Expand Up @@ -14,6 +14,8 @@ Contents of this space:
- [Use case specific modeling and access](https://github.com/FAIRiCUBE/data-requests/wiki/Data-Overview)
- [complete rasdaman documentation](https://doc.rasdaman.com)

See also the [list of requirements agreed with the Use Cases](https://github.com/FAIRiCUBE/data-requests/wiki/Requirements)

As data ingest is tightly connected with metadata management, use of data, etc., consider also these related spaces:

- [metadata-editor WebGUI](https://catalog-editor.eoxhub.fairicube.eu/): to provide and edit metadata to be shown in the [data catalog (STAC-fastapi)](https://catalog.eoxhub.fairicube.eu/?.language=en)
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537 changes: 537 additions & 0 deletions stac_dist/ERA5_Land_monthly/ERA5_Land_monthly.json

Large diffs are not rendered by default.

175 changes: 175 additions & 0 deletions stac_dist/LGN/LGN.json
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@@ -0,0 +1,175 @@
{
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"stac_version": "1.0.0",
"id": "LGN",
"properties": {
"license": "CC-BY-SA-4.0",
"description": "LGN is a raster database with a resolution of 25 meter. From LGN2018 onwards, the spatial resolution has been refined to 5m. The LGN database has been produced by Wageningen Environmental Research since the late 1980s and meets the demand for up-to-date and accurate data on land use \nin the Netherlands. It also provides opportunities to track changes in land cover and land use over time.",
"providers": [
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"organization_name": null,
"organization": "WENR",
"comments": "download via email; preprocessing by WENR to unify land use categories (which change over years)",
"doc_link": "https://lgn.nl/, https://www.wur.nl/en/Research-Results/Research-Institutes/Environmental-Research/Facilities-Tools/Kaarten-en-GIS-bestanden/Land-use-database-of-the-Netherlands/What-is-the-LGN-database.htm",
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"unit": "metre",
"interpolation": "Nearest\u200b",
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"type": "spatial",
"unit": "metre",
"interpolation": "Nearest\u200b",
"step": 5
},
"time": {
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"type": "temporal",
"values": [
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"2018-01-01T00:00Z",
"2019-01-01T00:00Z",
"2020-01-01T00:00Z",
"2021-01-01T00:00Z",
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}
},
"datetime": "2000-01-01T00:00:00Z",
"raster:bands": [
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"band_name": "landuse",
"unit": "1",
"data_type": "int",
"nodata": 0,
"definition": "https://lgn.nl/documentatie/wijzigingen-per-versie",
"description": "Categorial data distinguishing 48 land use classes",
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"title": "National Land Use Database (LGN) in the Netherlands",
"datasource_type": "grid",
"keywords": "National Land Use, landuse, LGN, Netherlands",
"area_cover": "Netherlands",
"documentation": "https://doi.org/10.4121/688363cc-8c79-439f-bb0e-fe5d0deb3161, https://data.4tu.nl/datasets/2e472483-255b-4468-b5a2-beb413746b48/1, https://data.4tu.nl/datasets/8738f896-f49e-4ae7-8671-50ef893a2cee/1, https://data.4tu.nl/datasets/e2971c99-f4f2-4786-b7ba-2d16a24bcd83/1",
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"provenance_name": "https://lgn.nl/bestanden",
"preprocessing": "https://lgn.nl/documentatie",
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"ingestion_status": "completed, year as timestamp, (2012,2019,2022,2021,2022)",
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"links": [
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"type": "application/json",
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},
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"type": "application/json",
"title": "data-access catalog"
},
{
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]
}
156 changes: 156 additions & 0 deletions stac_dist/Vienna_building_volume/Vienna_building_volume.json
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@@ -0,0 +1,156 @@
{
"type": "Feature",
"stac_version": "1.0.0",
"id": "Vienna_building_volume",
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" building volume",
" building height",
" urban areas",
" vienna",
"building volume indicator"
],
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{
"organization_name": "Stadt Wien",
"organization": "Stadt Wien",
"organization_email": "[email protected]",
"roles": "licensor"
}
],
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},
"time": {
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],
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"unit": "year"
}
},
"raster:bands": [
{
"band_name": "building volume indicator",
"unit": "indicator",
"data_type": "float32",
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"definition": "building volume indicator",
"description": "building volume indicator",
"comment": "Band 1"
}
],
"title": "Vienna building volume [100m]",
"datasource_type": "GML ",
"area_cover": "415km2",
"crs": "EPSG:31256",
"start_datetime": "2024-01-01T00:00Z",
"end_datetime": "2024-12-31T00:00Z",
"provenance_name": "data.gv.at ",
"preprocessing": " The map shows the building volume (building footprint x avg. building height) as a normalized indicator 0-1",
"source_data": "https://www.data.gv.at",
"models": "https://github.com/FAIRiCUBE/uc1-urban-climate/blob/master/notebooks/dev/f06_pre_processing/Vienna_distance_raster_from_points_data.ipynb",
"apis": "AWS-S3 API",
"access_control": "fairicube account required ",
"datetime": "2024-07-17T10:39:35Z",
"modification": "2024-07-17T10:39:39Z",
"provision": "2024-07-17T10:39:37Z",
"use_case_S4E": "1",
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"platform": "Eox"
},
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},
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"title": "data-access catalog"
}
],
"assets": {
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"href": "https://fairicube.s3.eu-central-1.amazonaws.com/vienna_data/100m/",
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"stac_extensions": [
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"https://stac-extensions.github.io/datacube/v2.0.0/schema.json"
]
}
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