Frozen input data for the healpix-resample paper experiments
Authors/Creators
-
Delouis, Jean-Marc
(Contact person)1
-
Odaka, Tina Erica
(Project manager)2
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Bovy, Benoît
(Project member)3
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CAP, Etienne
(Project member)4
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Davison, Thomas
(Project member)5
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Fouilloux, Anne
(Data curator)6
- Gueguen, Camille (Project member)1
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Kmoch, Alexander
(Project member)7
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Magin, Justus
(Project member)8
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Richard, Pablo
(Project member)9
- et al. Show all 11 authors
-
Delouis, Jean-Marc
(Contact person)1
-
Odaka, Tina Erica
(Project manager)2
-
Bovy, Benoît
(Project member)3
-
CAP, Etienne
(Project member)4
-
Davison, Thomas
(Project member)5
-
Fouilloux, Anne
(Data curator)6
- Gueguen, Camille (Project member)1
-
Kmoch, Alexander
(Project member)7
-
Magin, Justus
(Project member)8
-
Richard, Pablo
(Project member)9
-
Dumoulin, Vincent
(Supervisor)5
-
1.
Laboratory for Ocean Physics and Satellite remote
- 2. IFREMER Laboratoire d'Oceanographie Physique et Spatiale (LOPS)
- 3. Georode
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4.
Laboratory for Ocean Physics and Satellite Remote Sensing
-
5.
European Space Research Institute
-
6.
LifeWatch ERIC
-
7.
University of Tartu
- 8. Ifremer Centre de Bretagne
- 9. Richard EI
Description
Description
This dataset provides the frozen input data used to reproduce the experiments, figures, and tables of the healpix-resample paper. It is designed to allow the publication notebooks to run with OFFLINE=True, without querying mutable remote catalogues, object stores, or imagery services.
The dataset contains:
- Four Sentinel-2 Level-2A B04 extracts representing urban, water, forest, and agricultural scenes. The exact Sentinel-2 product identifiers are recorded in
data_manifest.csvand in the Zarr metadata. - Four scene-level high-resolution textures derived from Esri World Imagery and stored as Zarr arrays.
- A multi-region dataset of 360 frozen Esri-derived patches covering different scene types and latitude bands.
- An ERA5 ensemble surface-flux extract used for the conservative-resampling experiment.
- Site definitions, acquisition provenance, licences, source attributions, and the exact Git commit associated with the experiments.
All Zarr stores and files are listed in data_manifest.csv. The manifest provides their expected repository paths, source identifiers, sizes, dependencies, and SHA-256 checksums. Directory checksums are computed deterministically over every Zarr metadata file and chunk.
The archives preserve paths beginning with notebooks/. After cloning the associated software repository, users can extract the archives directly at the repository root and verify the installation with:
python notebooks/build_data_manifest.py \
--check \
--doi 10.5281/zenodo.XXXXXXX
A successful verification reports 369/369 assets available. The notebooks then run using their default OFFLINE=True configuration and raise an explicit error if an immutable input is missing.
The associated software is available from:
- Repository: https://github.com/GRID4EARTH/healpix-resample
- Software concept DOI: https://doi.org/10.5281/zenodo.21723671
- Software version DOI: https://doi.org/10.5281/zenodo.21723672
This archive contains primary experimental inputs and provenance information. Generated figures, result tables, temporary caches, and notebook outputs are intentionally excluded because they can be regenerated from the archived inputs.
Data attribution
Contains modified Copernicus Sentinel data 2026.
ERA5 data were obtained from the Copernicus Climate Change Service operated by ECMWF. The source dataset is Complete ERA5 global atmospheric reanalysis, DOI: https://doi.org/10.24381/cds.143582cf.
The high-resolution scene textures and multi-region patches were derived from Esri World Imagery. Applicable Esri and third-party imagery-provider terms, attributions, and redistribution permissions are documented in the accompanying DATA_LICENSES.md and ATTRIBUTION.md files.
Files
healpix-resample-paper-core-data-v1.zip
Additional details
Funding
- European Space Research Institute
Software
- Repository URL
- https://github.com/GRID4EARTH/healpix-resample
- Programming language
- Python
- Development Status
- Active