Data on human and non-human systems are typically archived in very different ways, in different places. The SESAME project aims to bring key human-Earth datasets into the same, spatially-gridded format to accelerate discovery and aid modeling efforts.
[Link to readthedocs.io]
conda create -n sesame_env
conda activate sesame_env
conda install pip
pip install opensesame
import opensesame as sm
- Bring human and non-human system datasets into a unified spatially-gridded format.
- Accelerate data discovery and facilitate modeling efforts through standardized data structures.
- Foster interdisciplinary collaboration and research by providing accessible and integrated datasets.
SESAME Software package is dependent on multiple python files. Users are requested to download the files from src folder. Software documentation will be available soon.
Datasets can be downloaded in NetCDF format from {link}. Detailed dataset documentation file can be found in Google Spreadsheet.
For questions or inquiries about the SESAME project, please contact [email protected].