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KokosDev/mur-sst-ml-benchmark-Zarr

MUR SST ML Benchmark (Pacific, Zarr) Machine-learning friendly Zarr subset of NASA/JPL GHRSST MUR SST. Upstream source (public, no auth): s3://mur-sst/zarr Subset: Region: Pacific (20–50°N, 180–240°E); longitude is stored as 0–360°E Time: 2018-01-01 → 2019-12-30 (729 daily frames; upstream coverage for this slice ends on 2019-12-30) Variable: analysed_sst only (float32, °C) Chunking for ML: (time, lat, lon) = (7, 256, 256) (weekly windows) Why mur-sst/zarr-v1 during… See the full description on the dataset page: https://huggingface.co/datasets/KokosDev/mur-sst-ml-benchmark-Zarr.

Author / organizationKokosDev
License (as declared)other
Downloads577 (as reported by Hugging Face)
Likes1
Created3 February 2026
Last updated at source19 February 2026
climatesea-surface-temperaturezarrbenchmark
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  • 16 Oct 2026 Description: MUR SST ML Benchmark (Pacific, Zarr) Machine-learning friendly Zarr subset of NASA/JPL GHRSST MUR SST. Upstream source (public, no auth): s3://mur-sst/zarr Subset: Region: Pacific (20–50°N, 180–240°E); longitude is stored as 0–360°E Time: 2 → MUR SST ML Benchmark (Pacific, Zarr) Machine-learning friendly Zarr subset of NASA/JPL GHRSST MUR SST. Upstream source (public, no auth): s3://mur-sst/zarr Subset: Region: Pacific (20–50°N, 180–240°E); longitude is stored as 0–360°E Time: 2

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