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living-herbarium

https://github.com/we-art-o-nauts/living-herbarium

Science Score: 31.0%

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
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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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    Academic publication links
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    Committers with academic emails
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    JOSS paper metadata
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    Scientific vocabulary similarity
    Low similarity (6.2%) to scientific vocabulary

Keywords

datapackage glamhack
Last synced: 6 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: we-art-o-nauts
  • Language: CSS
  • Default Branch: main
  • Homepage:
  • Size: 1.99 MB
Statistics
  • Stars: 0
  • Watchers: 4
  • Forks: 1
  • Open Issues: 0
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Topics
datapackage glamhack
Created over 3 years ago · Last pushed over 3 years ago
Metadata Files
Readme Citation

README.md

Living Herbarium

A Data Package that is part of a #GLAMhack 2022 project to explore an extract from the Swiss National Databank of Vascular Plants and United Herbaria of the University and ETH Zurich. This dataset was recommended and queries provided by Dr. Alessia Guggisberg at the Institute of Integrative Biology (IBZ), ETH Zurich.

For more details visit our Project Page

Screenshot:

Usage

To run the app, download the source code and install Python3 with pipenv. Navigate to the api folder. Then run pipenv install followed by pipenv run python server.py

If there are no errors navigate to http://localhost:8000/app/index.html

Notes

We removed all empty / repetitive columns from the dataset. This is therefore not a 1:1 complete export, and you should visit the corresponding GBIF query.

In order to respect the currently nationally agreed ethical framework while simultaneously sharing scientifically utilizable data for large scale studies, Swiss biodiversity data is generally published generalized to 5km grid squares. Altitude information corresponds to raw data.

Attribution

Data citation:

GBIF.org (05 November 2022) GBIF Occurrence Download https://doi.org/10.15468/dl.v8r2q5

Datasets:

  • United Herbaria of the University and ETH Zurich
  • Swiss National Databank of Vascular Plants

Usage Rights:

CC BY 4.0 http://creativecommons.org/licenses/by/4.0/legalcode

Owner

  • Name: We Art O Nauts
  • Login: we-art-o-nauts
  • Kind: organization

Strange attractors and hackathon hacks

Citation (citations.txt) 

When using this dataset please use the following citation and pay attention to the rights documented in rights.txt:
Nyffeler R, Guggisberg A (2022). United Herbaria of the University and ETH Zurich. Version 1.535. United Herbaria of the University and ETH Zurich (Z+ZT). Occurrence dataset https://doi.org/10.15468/tjvqci accessed via GBIF.org on 2022-11-05.
Jutzi M, Vilpert M, Juillerat P, Eggenberg S (2022). Swiss National Databank of Vascular Plants. Version 1.11. Swiss National Biodiversity Data and Information Centres – infospecies.ch. Occurrence dataset https://doi.org/10.15468/7jffp3 accessed via GBIF.org on 2022-11-05.

GitHub Events

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  • Development Distribution Score (DDS): 0.071
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  • Avg Commits per committer: 0.0
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Oleg Lavrovsky o****g@d****h 13
snappy91 z****o@v****t 1
Committer Domains (Top 20 + Academic)
virgilio.it: 1 datalets.ch: 1

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Dependencies

api/Pipfile pypi
  • falcon *
  • frictionless *
  • sparqlwrapper *
api/requirements.txt pypi
  • falcon *
  • frictionless *