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Download README.md from HarshadSB/adrishta-oceanembed-data: direct link, hf CLI and curl.
- Browser
- Download file 1.01 kB
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https://huggingface.co/datasets/HarshadSB/adrishta-oceanembed-data/resolve/main/README.md
- Command line
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hf download hf://datasets/HarshadSB/adrishta-oceanembed-data/README.md
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curl -L -o README.md https://huggingface.co/datasets/HarshadSB/adrishta-oceanembed-data/resolve/main/README.md
1.01 kB
metadata
license: cc-by-4.0
task_categories:
- time-series-forecasting
- tabular-regression
tags:
- oceanography
- subsurface-temperature
- argo-validation
- glorys
- physics-constrained-ml
size_categories:
- 10GB<n<100GB
ADRISHTA: 3D Subsurface Ocean AI Dataset (North Indian Ocean 2024–2026)
This repository contains the complete open scientific assets for the ADRISHTA Subsurface Ocean AI system:
- Master Zarr Store (
zarr/oceanembed_multiyear_2024_2026.zarr): Harmonized 7-channel satellite surface inputs + 15 standard INCOIS target depths at 0.25° resolution across 2024-01-07 to 2026-10-03 (148 daily/weekly snapshots). - In-Situ ARGO Ground Truth (
argo/): 134 real physical CTD float soundings from the Coriolis GDAC / INCOIS array. - Model Checkpoints (
checkpoints/): Frozen Physics-Constrained and Baseline OceanEmbedNet weights. - Raw Multi-Parameter Copernicus Data (
raw/): 3D potential temperature, salinity, currents, and sea surface height NetCDFs.