bhl-open-data.yaml

Name: "Biodiversity Heritage Library Metadata and Page Images"
Description: The Biodiversity Heritage Library (BHL) is the world’s largest open access digital library for biodiversity literature and archives. BHL operates as a worldwide consortium of natural history, botanical, research, and national libraries working together to address this challenge by digitizing the natural history literature held in their collections and making it freely available for open access.
Documentation: Documentation can be found at <a href="https://github.com/gbhl/bhl-open-data">our GitHub repository</a>.
Contact: feedback@biodiversitylibrary.org
ManagedBy: "[The Biodiversity Heritage Library](https://biodiversitylibrary.org/)"
UpdateFrequency: "Metadata is updated monthly. Images are updated weekly."
Tags:
  - biodiversity
  - bioinformatics
  - life sciences
License: Public Domain, CC0, or Creative Commons. Exact licenses are found in the related metadta files and <a href="https://github.com/gbhl/bhl-open-data">documentation</a>.
Citation: 
Resources:
  - Description: Image files (JPEG-2000) and associated metadata describing the image and the book or article that contains the image.
    ARN: arn:aws:s3:::bhl-open-data
    Region: us-east-2
    Type: S3 Bucket
DataAtWork:
  Tools & Applications:
  - Title: "BioStor"
    URL: https://biostor.org/
    AuthorName: Roderic Page
    AuthorURL: https://scholar.google.com/citations?user=4Z5WABAAAAAJ&hl=en
  - Title: "BHLIndex"
    URL: https://github.com/gnames/bhlindex
    AuthorName: Global Names
    AuthorURL: https://globalnames.org/
  Publications:
  - Title: "Unearthing the Past for a Sustainable Future: Extracting and transforming data in the Biodiversity Heritage Library for climate action"
    URL: https://doi.org/10.3897/biss.7.112436
    AuthorName: Dearborn J, Lichtenberg M, Richard J, deVeer J, Trizna M, Mika K
    AuthorURL: https://biss.pensoft.net/article/112436/list/9/
  - Title: "Understanding BHL Through Metadata: Patterns of Bio-Diverse Knowledge Production"
    URL: https://www.ncbi.nlm.nih.gov/pubmed?cmd=DetailsSearch&term=29853643[PMID]
    AuthorName: Lidia Ponce de la Vega
    AuthorURL: https://lidiapv.com/
  - Title: "AI models are getting better and better at reading handwriting, but how can we find handwritten text to begin with?"
    URL: https://doi.org/10.25573/data.23523495.v1
    AuthorName: Mike Trizna, JJ Dearborn
    AuthorURL: https://datascience.si.edu/people/mike-trizna