Variable metadata implementation for analysis-ready data discovery & dissemination at PO.DAAC

PODAAC maintains a simple python-based toolset to generate variable metadata records from input netCDF/HDF datasets and ingest them to CMR, and (optionally) evaluate their completeness according to the UMM-Variable schema.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-04
DOI
https://doi.org/10.5281/zenodo.14270989
Primary Topic
Research Data Management Practices
Type
article
Field-Weighted Citation Impact
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article

Variable metadata implementation for analysis-ready data discovery & dissemination at PO.DAAC

Zenodo (CERN European Organization for Nuclear Research)
Research Data Management Practices
article

Variable metadata implementation for analysis-ready data discovery & dissemination at PO.DAAC

article en

Abstract

PODAAC maintains a simple python-based toolset to generate variable metadata records from input netCDF/HDF datasets and ingest them to CMR, and (optionally) evaluate their completeness according to the UMM-Variable schema.

Zenodo (CERN European Organization for Nuclear Research)
Jet Propulsion Laboratory (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 43%
Research Data Management Practices
DOIOpen Access PDFOpenAlex
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Variable metadata implementation for analysis-ready data discovery & dissemination at PO.DAAC · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS