pctemp
R script to statistically analyze the compartmental usage of an organism within an experimental water temperature preference chamber.
Science Score: 44.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (2.4%) to scientific vocabulary
Repository
R script to statistically analyze the compartmental usage of an organism within an experimental water temperature preference chamber.
Basic Info
- Host: GitHub
- Owner: bassdye
- License: mit
- Language: R
- Default Branch: main
- Size: 9.24 MB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
pcTEMP
The following R script provides the steps to statistically analyze the compartmental usage of an organism within the water temperature preference chamber following methods in Aebischer et al. (1993) and Schram et al. (2013). This script is geared towards analyzing the data obtained from the Ethovision fish tracking software but can be adapted for manual counts (e.g., Schram et al. 2013; Dye et al. 2024).
Owner
- Name: Bass Dye
- Login: bassdye
- Kind: user
- Repositories: 1
- Profile: https://github.com/bassdye
PhD student at NIOZ Royal Netherlands Institute for Sea Research
Citation (CITATION.cff)
cff-version: 1.2.0
title: pcTEMP
message: >-
If you use this software, please cite it using the
metadata from this file.
type: software
authors:
- given-names: 'Bass '
family-names: Dye
email: bass.d.dye@gmail.com
orcid: 'https://orcid.org/0000-0001-9745-353X'
affiliation: Royal Netherlands Institute for Sea Research
repository-code: 'https://github.com/bassdye/pcTEMP'
abstract: >-
The following R script provides the steps to statistically
analyze the compartmental usage of an organism within the
water temperature preference chamber following methods in
Aebischer et al. (1993) and Schram et al. (2013). This
script is geared towards analyzing the data obtained from
the Ethovision fish tracking software but can be adapted
for manual counts (e.g., Schram et al. 2013; Dye et al.
2023).
license: MIT
date-released: '2023-09-05'
url: "https://github.com/bassdye/pcTEMP"