xco2learn-submission/xco2learn-dataset
Dataset Card for XCO2Learn Dataset Description XCO2Learn is a unified, reproducible benchmark for satellite-based column-averaged carbon dioxide (XCO₂) reconstruction and forecasting. It standardizes data preprocessing, spatial–temporal splits, evaluation metrics, and model baselines to address the lack of consistent benchmarks in sparse satellite XCO₂ research. Curated by: XCO2Learn Team License: CC-BY-4.0 Data Format: NetCDF Spatial Coverage: Global 0.25° grid… See the full description on the dataset page: https://huggingface.co/datasets/xco2learn-submission/xco2learn-dataset.
| Author / organization | xco2learn-submission |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 218 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 6 May 2026 |
| Last updated at source | 6 May 2026 |
Popularity, last 3 days
218 now (+20 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 17 Oct 2026 Description: Dataset Card for XCO2Learn Dataset Description XCO2Learn is a unified, reproducible benchmark for satellite-based column-averaged carbon dioxide (XCO₂) reconstruction and forecasting. It standardizes data preprocessing, spatial–temporal spl → Dataset Card for XCO2Learn Dataset Description XCO2Learn is a unified, reproducible benchmark for satellite-based column-averaged carbon dioxide (XCO₂) reconstruction and forecasting. It standardizes data preprocessing, spatial–temporal spl
Changes detected by Silytics between refreshes of the source.
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.