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Add source metadata for vceregen #3887

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Oct 3, 2024
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11 changes: 10 additions & 1 deletion src/pudl/metadata/constants.py
Original file line number Diff line number Diff line change
Expand Up @@ -186,8 +186,17 @@
"organization": "Catalyst Cooperative",
"orcid": "0000-0001-9784-8531",
},
"vibrant-clean-energy": {
"title": "Vibrant Clean Energy",
"email": "[email protected]",
"path": "https://vibrantcleanenergy.com/",
"role": "author",
"zenodo_role": "producer",
"organization": "Vibrant Clean Energy",
},
Comment on lines +189 to +196
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Once we've got an archiver that works for a private file handoff, it'd be good to re-archive the GridPath RA Toolkit data using it, and do something similar for attribution / licensing there.

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Definitely, though slightly tricky to refresh the metadata without new files but it can be done. Want to write up an issue so it doesn't get lost?

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See #3895

}
"""PUDL Contributors for attribution."""
"""PUDL Contributors for attribution. See the Data Package metadata https://specs.frictionlessdata.io/data-package/#metadata
for examples. For zenodo_role, see the contributor types in the Zenodo documentation https://developers.zenodo.org/#representation."""

KEYWORDS: dict[str, list[str]] = {
"electricity": [
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39 changes: 39 additions & 0 deletions src/pudl/metadata/sources.py
Original file line number Diff line number Diff line change
Expand Up @@ -835,5 +835,44 @@
"license_raw": LICENSES["us-govt"],
"license_pudl": LICENSES["cc-by-4.0"],
},
"vceregen": {
"title": "Vibrant Clean Energy Renewable Generation Profiles",
"path": "https://vibrantcleanenergy.com/wp-content/uploads/2020/08/VCE-Weather-Dataset-Overview_August2020.pdf",
"description": (
Comment on lines +840 to +841
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Could make this a path to the internal file, but wasn't 100% sure how to do that.

"This dataset was produced by Vibrant Clean Energy, and is licensed to "
"the public under the Creative Commons Attribution 4.0 International "
"license (CC-BY-4.0). The data consists of hourly, county-level renewable "
"generation profiles in the continental United States and was compiled "
"based on outputs from the NOAA HRRR weather model. Profiles are stated "
"as a capacity factor (a fraction of nameplate capacity) and exist for "
"onshore wind, offshore wind, and fixed-tilt solar generation types."
),
"source_file_dict": {
"sorce_format": "Comma Separated Value (.csv)",
},
"keywords": sorted(
{
"solar",
"wind",
"time series",
"energy",
"electricity",
"generation",
"weather",
"capacity factor",
"hourly",
"united states",
"usa",
"resource adequacy",
"gridpath",
"vibrant clean energy",
"county",
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}
),
"license_raw": LICENSES["cc-by-4.0"],
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"license_pudl": LICENSES["cc-by-4.0"],
"working_partitions": {"years": sorted(set(range(2019, 2024)))},
"contributors": [CONTRIBUTORS["vibrant-clean-energy"]],
},
}
"""Data source attributes by PUDL identifier."""
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