clamswrangler
Python program for cleaning, trimming, binning, and reformatting of data generated by the Columbus Instruments CLAMS for downstream statistical analysis.
Science Score: 67.0%
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✓CITATION.cff file
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✓codemeta.json file
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✓.zenodo.json file
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✓DOI references
Found 2 DOI reference(s) in README -
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Links to: zenodo.org -
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○Scientific vocabulary similarity
Low similarity (11.8%) to scientific vocabulary
Keywords
Repository
Python program for cleaning, trimming, binning, and reformatting of data generated by the Columbus Instruments CLAMS for downstream statistical analysis.
Basic Info
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- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 1
- Releases: 6
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Metadata Files
README.md
CLAMSwrangler
To simplify and expedite the processing of the raw data generated by the Comprehensive Laboratory Animal Monitoring System (CLAMS) we developed CLAMS Wrangler.
This program handles the cleaning, trimming, binning, and reformatting of data generated by CLAMS for downstream statistical analysis.
Usage
Please visit the wiki for a more detailed explanation of using CLAMS Wrangler.
Download program
To download the latest version of CLAMS Wrangler go to the releases page and select the version for the OS you are using.
After downloading you should be able to just run the program and process your data.
Building the executable
If you want to build the program from source, follow the directions here.
Cite this repository
If you use this program, please cite the repository as described below or visit Zenodo for the most up to date info. Thank you!
S. A. Clayton, A. D. Mizener, L. E. Rentzand E. Pistilli, “CLAMS Wrangler: a python program for preprocessing data generated by the Comprehensive Laboratory Animal Monitoring System”. Zenodo, Apr. 04, 2024. doi: 10.5281/zenodo.10914556.
Credits
App icon is adapted from "Clams CLAM Icon" by Christopher Downer under the CC0 1.0 license.
Disclaimer
This software is distributed under the terms of the GNU General Public License v3 (GPL v3), which is included with the software. The software is provided "as is," without warranty of any kind, express or implied, including but not limited to the warranties of merchantability, fitness for a particular purpose, and noninfringement. In no event shall the authors or copyright holders be liable for any claim, damages, or other liability, whether in an action of contract, tort, or otherwise, arising from, out of, or in connection with the software or the use or other dealings in the software.
The software is provided with the hope that it will be useful but WITHOUT ANY WARRANTY. It may contain errors and is not intended for use in any medical, life-saving, or life-sustaining systems, or for any other mission-critical application in which the failure of the software could lead to personal injury or death.
The GPL v3 license gives you the freedom to use, modify, and redistribute the software under certain conditions. However, it does not provide any warranty or guarantee of accuracy. You are solely responsible for determining the appropriateness of using or redistributing the software and assume any risks associated with your exercise of permissions under this license.
By using this software, you agree to comply with the terms and conditions of the GPL v3 license. If you do not agree with the terms of this license, do not use or redistribute the software.
Owner
- Name: The Pistilli Lab
- Login: PistilliLab
- Kind: organization
- Repositories: 1
- Profile: https://github.com/PistilliLab
Software developed by the Pistilli lab.
Citation (CITATION.cff)
cff-version: 1.2.0 message: "If you use this software, please cite it using these metadata." authors: - family-names: "Clayton" given-names: "Stuart A." orcid: "https://orcid.org/0000-0002-6863-4822" - family-names: "Mizener" given-names: "Alan D." orcid: "https://orcid.org/0009-0000-6461-7024" - family-names: "Rentz" given-names: "Lauren E." orcid: "https://orcid.org/0000-0003-3513-655X" title: "CLAMS Wrangler" version: 1.0.3 license: GPL-3.0 date-released: 2023-09-05 url: "https://github.com/PistilliLab/CLAMSwrangler"
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Dependencies
- Requests ==2.31.0
- numpy ==1.25.2
- pandas ==2.0.3
- ttkbootstrap ==1.10.1