Proposed Recipes for CASM dataset

[yloskvi4]

Dataset Name

CASM dataset

Dataset URL

https://doi.org/10.5281/zenodo.7072511

Description

The Consistent Artificial Intelligence (AI)-based Soil Moisture (CASM) dataset is a global, consistent, and long-term, remote sensing soil moisture (SM) dataset created using machine learning. A new soil moisture dataset created by Olya Skulovich and Pierre Gentine, Columbia University.

License

Creative Commons Attribution 4.0 International

Data Format

NetCDF

Data Format (other)

No response

Access protocol

HTTP(S)

Source File Organization

There is 1 file per year, 2002-2020. Each file contains global data for that year with a 3-day temporal resolution. Some years have less than a full year of data (due to remote sensing source limitations). All files are in 1 folder.

Example URLs

https://zenodo.org/record/7072512/files/CASM_SM_2002.nc?download=1
https://zenodo.org/record/7072512/files/CASM_SM_2003.nc?download=1

Authorization

No; data are fully public

Transformation / Processing

No response

Target Format

Zarr

Comments

No response