Photo by Shubham Dhage on Unsplash

PoroTomo Dataset for Machine Learning

Install DagsHub:

pip install dagshub
Click on copy button to copy content

To stream this data directly on DagsHub

from dagshub.streaming import DagsHubFilesystem

fs = DagsHubFilesystem(".", repo_url="https://dagshub.com/DagsHub-Datasets/nrel-pds-porotomo-dataset")

fs.listdir("s3://nrel-pds-porotomo/")
Click on copy button to copy content

Description

Released to the public as part of the Department of Energy’s Open Energy Data Initiative, these data represent vertical and horizontal distributed acoustic sensing (DAS) data collected as part of the Poroelastic Tomography (PoroTomo) project funded in part by the Office of Energy Efficiency and Renewable Energy (EERE), U.S. Department of Energy.

Additional information

Update frequency

As needed

License

Creative Commons Attribution 3.0 United States License

Related datasets

BodyM Dataset

Cloud to Street – Microsoft Flood and Clouds Dataset

A2D2: Audi Autonomous Driving Dataset

Galaxy Evolution Explorer Satellite (GALEX)

Launch your ML development to new heights with DagsHub

Back to top