Science Score: 77.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 1 DOI reference(s) in README
  • Academic publication links
    Links to: zenodo.org
  • Committers with academic emails
    3 of 5 committers (60.0%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (10.4%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

Basic Info
Statistics
  • Stars: 5
  • Watchers: 2
  • Forks: 2
  • Open Issues: 49
  • Releases: 14
Created almost 4 years ago · Last pushed 6 months ago
Metadata Files
Readme Contributing License Code of conduct Citation

README.md

DOI Documentation Status Conda Version

ECODATA-Prepare

ECODATA-Prepare is a set of Python-based apps to access and process remote sensing and other environmental data products and prepare them for further use along with animal movement data. ECODATA-Prepare is designed to be along with the ECODATA-Animate tool to create movies of animal movement data, and can also be used to create input to resource, habitat and step selection models. Development is supported by MathWorks and the NASA Earth Science Division, Ecological Forecasting Program, as part of the Room to Roam: Y2Y Wildlife Movements project.

Check out the documentation! * Apps documentation * Package documentation

Note: ECODATA-Prepare is in the early stages of development, and any feedback is welcome! If you have any suggestions or feature requests, enounter any bugs, or come across places where the documentation is unclear, please submit a GitHub issue.

Example data

A test data bundle is available here

Owner

  • Name: Justine Missik
  • Login: jemissik
  • Kind: user

Citation (CITATION.cff)

# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!

cff-version: 1.2.0
title: ECODATA
message: >-
  If you use this software, please cite it as below.
type: software
authors:
  - given-names: Justine
    family-names: Missik
    email: missik.2@osu.edu
    orcid: 'https://orcid.org/0000-0002-6448-0694'
  - given-names: Madeline
    family-names: Scyphers
    orcid: 'https://orcid.org/0000-0003-3733-4330'
  - given-names: Sarah
    family-names: Davidson
    orcid: 'https://orcid.org/0000-0002-2766-9201'
  - given-names: Gil
    family-names: Bohrer
    orcid: 'https://orcid.org/0000-0002-9209-9540'
repository-code: 'https://github.com/jemissik/ecodata'
url: 'https://ecodata-apps.readthedocs.io/'
doi: '10.5281/zenodo.11522464'
license: MIT

GitHub Events

Total
  • Create event: 8
  • Release event: 2
  • Issues event: 2
  • Delete event: 4
  • Member event: 1
  • Push event: 15
  • Pull request review event: 3
  • Pull request event: 13
  • Fork event: 1
Last Year
  • Create event: 8
  • Release event: 2
  • Issues event: 2
  • Delete event: 4
  • Member event: 1
  • Push event: 15
  • Pull request review event: 3
  • Pull request event: 13
  • Fork event: 1

Committers

Last synced: 11 months ago

All Time
  • Total Commits: 388
  • Total Committers: 5
  • Avg Commits per committer: 77.6
  • Development Distribution Score (DDS): 0.363
Past Year
  • Commits: 33
  • Committers: 3
  • Avg Commits per committer: 11.0
  • Development Distribution Score (DDS): 0.515
Top Committers
Name Email Commits
Justine Missik m****2@o****u 247
Madeline Scyphers m****s@g****m 133
Madeline Scyphers m****s@g****m 4
sarahcd s****n@o****e 3
Sarah Davidson s****n@a****e 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 93
  • Total pull requests: 88
  • Average time to close issues: 3 months
  • Average time to close pull requests: about 21 hours
  • Total issue authors: 4
  • Total pull request authors: 4
  • Average comments per issue: 0.18
  • Average comments per pull request: 0.15
  • Merged pull requests: 84
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 2
  • Pull requests: 9
  • Average time to close issues: N/A
  • Average time to close pull requests: 2 days
  • Issue authors: 2
  • Pull request authors: 3
  • Average comments per issue: 0.0
  • Average comments per pull request: 0.0
  • Merged pull requests: 6
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • jemissik (86)
  • sarahcd (5)
  • madeline-scyphers (1)
  • helena-wehner (1)
Pull Request Authors
  • jemissik (50)
  • madeline-scyphers (32)
  • sarahcd (5)
  • olekshche (1)
Top Labels
Issue Labels
feature (32) package (30) documentation (13) bug (11) improvement (5) performance (1)
Pull Request Labels
package (19) documentation (14) improvement (6) bug (5) feature (5)

Dependencies

.github/workflows/ci_deploy_mac.yml actions
  • actions/checkout v3 composite
  • conda-incubator/setup-miniconda v2 composite
  • fkirc/skip-duplicate-actions v5 composite
.github/workflows/ci_deploy_win.yml actions
  • actions/checkout v3 composite
  • conda-incubator/setup-miniconda v2 composite
  • fkirc/skip-duplicate-actions v5 composite
.github/workflows/ci_linux.yml actions
  • actions/checkout v3 composite
  • conda-incubator/setup-miniconda v2 composite
  • fkirc/skip-duplicate-actions v5 composite
.github/workflows/ci_mac.yml actions
  • actions/checkout v3 composite
  • conda-incubator/setup-miniconda v2 composite
  • fkirc/skip-duplicate-actions v5 composite
.github/workflows/ci_win.yml actions
  • actions/checkout v3 composite
  • conda-incubator/setup-miniconda v2 composite
  • fkirc/skip-duplicate-actions v5 composite
pyproject.toml pypi
  • cartopy *
  • cfgrib *
  • click *
  • datasize *
  • gdown *
  • geopandas *
  • ipykernel *
  • ipython *
  • matplotlib *
  • pandas *
  • requests *
  • shapely *
  • wget *
  • xarray *