zarr
Datasets
All datasets matching “zarr”tahoe-100m-zarr
Tahoe-100M Zarr Collection
Production-ready tahoe single-cell RNA-seq data exported from Arc Virtual Cell Atlas (Tahoe-100M) into native Zarr stores for chunked, on-demand access on the Hugging Face Hub.
Why Zarr
Single-cell expression matrices get impractical fast if you treat them like ordinary dense files. Zarr is the point of this repo: it makes large atlas-scale data usable without forcing users to download or materialize the whole matrix before they can do anything… See the full description on the dataset page: https://huggingface.co/datasets/KokosDev/tahoe-100m-zarr.single-cell-brain-zarr
Single-Cell Brain Zarr Collection
Production-ready brain single-cell RNA-seq data exported from the CellxGene Census into native Zarr stores for chunked, on-demand access on the Hugging Face Hub.
Why Zarr
Single-cell expression matrices get impractical fast if you treat them like ordinary dense files. Zarr is the point of this repo: it makes large atlas-scale data usable without forcing users to download or materialize the whole matrix before they can do anything useful.… See the full description on the dataset page: https://huggingface.co/datasets/KokosDev/single-cell-brain-zarr.clothumi-0619-0623-uniforce-tactile-clean-alltrain-zarrmet-office-uk-deterministic-zarr
Met Office UK Deterministic Dataset (Zarr Format)
Description
This dataset is a subset of the Met Office UK Deterministic Dataset, converted from the original NetCDF format into Zarr format for modern data analysis. The Zarr files are packaged as tar archives for efficient storage and transfer.
The subset focuses on specific variables and configurations, which are detailed in the met_office_uk_data_config.yaml file included in this repository. Researchers and developers… See the full description on the dataset page: https://huggingface.co/datasets/jcamier/met-office-uk-deterministic-zarr.nwm-forecast-zarrmur-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 extraction?… See the full description on the dataset page: https://huggingface.co/datasets/KokosDev/mur-sst-ml-benchmark-Zarr.