fireveg-db-exports

Fire Ecology database - Export data records

https://github.com/ces-unsw-edu-au/fireveg-db-exports

Science Score: 65.0%

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 6 DOI reference(s) in README
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
    Organization ces-unsw-edu-au has institutional domain (www.unsw.edu.au)
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (8.8%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

Fire Ecology database - Export data records

Basic Info
  • Host: GitHub
  • Owner: ces-unsw-edu-au
  • License: cc-by-4.0
  • Language: Jupyter Notebook
  • Default Branch: main
  • Homepage: https://osf.io/h96q2/
  • Size: 1.06 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created over 1 year ago · Last pushed about 1 year ago
Metadata Files
Readme License Citation

README.md

Fire Ecology database (FEDB)

The Fire Ecology database is being developed by José R. Ferrer-Paris and David Keith in the Centre for Ecosystem Science, University of New South Wales

Please cite this work as:

Ferrer-Paris, J. R. and Keith, D. A. (2025) Fire Ecology database to inform fire ecology research and management. Version 1.1.1. Centre for Ecosystem Science, University of New South Wales, Sydney, Australia. Retrieved from https://osf.io/hu96w

This work has been supported by:

Components of the project

Source code for preparing data records

:dart: This repository contains R, Python and SQL code to export data records from the database and upload to data repositories.

The code is documented using Jupyter Notebooks.

This repository is part of the OSF project component:

Ferrer-Paris, J. R., Keith, D., & Sánchez-Mercado, A. (2024, August 14). Export data records from Fire Ecology Traits for Plants database. Retrieved from osf.io/h96q2

This code is intended for internal project management. 🛂 Only users contributing directly to the project have access to the credentials for database connection and write access to our repositories.

Instructions and documentation are provided for the sake of reproducibility, feel free to use them as inspiration for your project.

Project overview

This project consists of several linked components:

🔥 Fire Ecology database: A database for fire research and management OSF project osf.io/hu96w with following components:

Owner

  • Name: Centre for Ecosystem Science @ UNSW
  • Login: ces-unsw-edu-au
  • Kind: organization
  • Location: Australia

Citation (CITATION.cff)

cff-version: 1.2.0
title: >-
  "Fire Ecology data pipeline and database to inform fire ecology research and management"
type: software
authors:
  - family-names: Ferrer-Paris
    given-names: José R.
    orcid: 'https://orcid.org/0000-0002-9554-3395'
    affiliation: UNSW
  - family-names: Keith
    given-names: David
    affiliation: UNSW
version: v1.2
date-released: '2025-01-31'
preferred-citation:
  authors:
    - family-names: "Ferrer-Paris"
      given-names: "José R."
      orcid: https://orcid.org/0000-0002-9554-3395
    - family-names: Keith
      given-names: David A.
  title: "Fire Ecology database to inform fire ecology research and management"
  version: v1.2
  year: 2025
  identifiers:
  - type: doi
    value: 10.17605/OSF.IO/HU96W
message: "If you use this software, please use the preferred-citation."

GitHub Events

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  • Push event: 7
  • Pull request event: 4
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Last synced: 6 months ago

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  • Total pull requests: 2
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  • Average time to close pull requests: 4 minutes
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  • Total pull request authors: 1
  • Average comments per issue: 0
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Past Year
  • Issues: 0
  • Pull requests: 2
  • Average time to close issues: N/A
  • Average time to close pull requests: 4 minutes
  • Issue authors: 0
  • Pull request authors: 1
  • Average comments per issue: 0
  • Average comments per pull request: 0.0
  • Merged pull requests: 2
  • Bot issues: 0
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  • jrfep (3)
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