Abstract
'deeplynx-timeseries-loader' is a library designed to make it as easy as possible for users to download and access timeseries or tabular data from DeepLynx.
- Developers:
-
Darrington, John [1]
- Idaho National Laboratory
- Release Date:
- 2023-06-09
- Project Type:
- Open Source, Publicly Available Repository
- Software Type:
- Scientific
- Programming Languages:
-
Rust
- Licenses:
-
MIT License
- Sponsoring Org.:
-
USDOE Office of Nuclear Energy (NE)Primary Award/Contract Number:AC07-05ID14517
- Code ID:
- 110163
- Research Org.:
- Idaho National Laboratory (INL), Idaho Falls, ID (United States)
- Country of Origin:
- United States
- Keywords:
- python library; deeplynx; deeplynx tabular data; deeplynx timeseries data; local database
Citation Formats
Darrington, John.
Deeplynx-loader.
Computer Software.
https://github.com/idaholab/Deep-Lynx-Timeseries-Loader.
USDOE Office of Nuclear Energy (NE) .
09 Jun. 2023.
Web.
doi:10.11578/dc.20230717.1.
Darrington, John.
(2023, June 09).
Deeplynx-loader.
[Computer software].
https://github.com/idaholab/Deep-Lynx-Timeseries-Loader.
https://doi.org/10.11578/dc.20230717.1.
Darrington, John.
"Deeplynx-loader." Computer software.
June 09, 2023.
https://github.com/idaholab/Deep-Lynx-Timeseries-Loader.
https://doi.org/10.11578/dc.20230717.1.
@misc{
doecode_110163,
title = {Deeplynx-loader},
author = {Darrington, John},
abstractNote = {'deeplynx-timeseries-loader' is a library designed to make it as easy as possible for users to download and access timeseries or tabular data from DeepLynx.},
doi = {10.11578/dc.20230717.1},
url = {https://doi.org/10.11578/dc.20230717.1},
howpublished = {[Computer Software] \url{https://doi.org/10.11578/dc.20230717.1}},
year = {2023},
month = {jun}
}