.github

GitHub Organisation customisation

https://github.com/sheffieldmltracking/.github

Science Score: 52.0%

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
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DOI references
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Academic publication links
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Academic email domains
✓
Institutional organization owner
Organization sheffieldmltracking has institutional domain (www.sheffield.ac.uk)
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JOSS paper metadata
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Scientific vocabulary similarity
Low similarity (0.9%) to scientific vocabulary

Last synced: 6 months ago · JSON representation ·

Repository

GitHub Organisation customisation

Basic Info

Host: GitHub
Owner: SheffieldMLtracking
License: gpl-3.0
Default Branch: main
Homepage:
Size: 90.8 KB

Statistics

Stars: 0
Watchers: 1
Forks: 0
Open Issues: 0
Releases: 0

Created almost 2 years ago · Last pushed over 1 year ago

Metadata Files

Readme Contributing License Citation Security

README.md

This repository is used to customise this GitHub Organisation.

Owner

Name: University of Sheffield Machine Learning Tracking
Login: SheffieldMLtracking
Kind: organization

Website: https://www.sheffield.ac.uk/dcs/people/academic/michael-smith
Repositories: 1
Profile: https://github.com/SheffieldMLtracking

Using Data Driven Artificial Intelligence to Analyse Pollinator Behaviour

Citation (CITATION.cff)

# About CITATION files
# You can add a CITATION file to your repository to help users correctly cite your software.
# https://docs.github.com/en/repositories/managing-your-repositorys-settings-and-features/customizing-your-repository/about-citation-files

# About CITATION.cff file format
# https://citation-file-format.github.io/

# This CITATION.cff file was generated with cffinit.
# https://citation-file-format.github.io/cff-initializer-javascript/

cff-version: 1.2.0
title: bee_track
message: >-
  Using Data Driven Artificial Intelligence to Analyse
  Pollinator Behaviour
type: software
authors:
  - given-names: Michael Thomas
    family-names: Smith
    email: m.t.smith@sheffield.ac.uk
    orcid: 'https://orcid.org/0000-0003-2047-605X'
    affiliation: University of Sheffield
  - given-names: Joe Salvador Thornhill
    family-names: Heffer
    email: j.heffer@sheffield.ac.uk
    name-particle: Joe
    affiliation: University of Sheffield
    orcid: 'https://orcid.org/0000-0001-8733-1117'
  - given-names: Shi Min
    family-names: Chua
    email: s.chua@sheffield.ac.uk
    affiliation: University of Sheffield
  - given-names: Christopher J
    family-names: Norooz
    email: CJNoroozi1@sheffield.ac.uk
    affiliation: University of Sheffield
repository-code: 'https://github.com/SheffieldMLtracking'
abstract: >-
  Using Data Driven Artificial Intelligence to Analyse
  Pollinator Behaviour
keywords:
  - computer-vision
  - machine-learning
license: GPL-3.0

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