New updates just dropped πŸ‘‡

πŸ’š #rgbif version 3.8.4
New features &🐞 bug fixes
πŸ”— https://docs.ropensci.org/rgbif/news/index.html

πŸ’™#pygbif version 0.6.6
πŸ”— https://pygbif.readthedocs.io/en/latest/changelog_link.html

Stats all folks! πŸ‘‹

#Rstats #python #GBIF

R you ready for #rgbif version 3.8.3?! 🀩

What's new?
⏱️ repeated occ_search() calls will now pause for 5 seconds, encouraging users to instead use occ_download() for accessing occurrence records
πŸ”Ž installation_search() and collection_search() updates

Learn more: πŸ”— https://docs.ropensci.org/rgbif/news/index.html#rgbif-383

⚑ New version of #rgbif has just been released to CRAN!

Version 3.8.2 new features:
πŸ”Ήocc_download_doi() accepts a GBIF download DOI and returns the download key. occ_download() now supports download via institutionKey.

🐞 bug fixes: Fixed double import bug in occ_download_import(). Fixed URL encoding bug in name_backbone_checklist().

See more: πŸ”—https://docs.ropensci.org/rgbif/news/index.html

#rgbif Asking advice, if possible, on code in rgbif for searcing for newly published datasets for a set of counties for a period of time. I tried it out myself today, but i am a new user of rgbif and need more time to learn. Welcome to R   for me! ;)

πŸ„ Have you got a bright idea πŸ’‘ for the @WorldBank #BiodiversityHackathon?

If you're looking for some inspiration for novel ways to use biodiversity data, check our our latest #GBIFDataBlog post! πŸ“Š

πŸ” GBIF has developed an experimental method to download species occurrence records from the GBIF database in SQL (Structured Query Language) format!

πŸ‘€ SQL downloads are also supported by #rgbif!

πŸ”— https://docs.ropensci.org/rgbif/articles/gbif_sql_downloads.html

Hackathon info: https://buff.ly/4dXJz00

GBIF SQL Downloads

R you ready for an #rgbif update? Version 3.8.1 πŸ“¦ is on #CRAN now!
πŸ‘€ New features:
◼️ New function occ_download_sql() for downloading occurrence data using SQL queries
🐞 Bug fixes:
◼️occ_download_cached() bug fixed.

Learn more: πŸ”— https://buff.ly/3ZPuI4F

Changelog

Next time you want to cite #rgbif, you can now #CiteTheDOI:

https://doi.org/10.32614/CRAN.package.rgbif

(obviously, don’t forget to also cite the DATA using a download or derived dataset DOI 😁)
https://fosstodon.org/@zeileis/112597049943483012

rgbif: Interface to the Global Biodiversity Information Facility API

A programmatic interface to the Web Service methods provided by the Global Biodiversity Information Facility (GBIF; <<a href="https://www.gbif.org/developer/summary" target="_top">https://www.gbif.org/developer/summary</a>>). GBIF is a database of species occurrence records from sources all over the globe. rgbif includes functions for searching for taxonomic names, retrieving information on data providers, getting species occurrence records, getting counts of occurrence records, and using the GBIF tile map service to make rasters summarizing huge amounts of data.

Version 3.8.0 of #rgbif is now available for download on CRAN - go get it!

https://docs.ropensci.org/rgbif/news/index.html#rgbif-380

Changelog

Whether downloading data or accessing it through the #GBIF API, #rgbif, #pybif or #cloudcomputing services, analysts and researchers who know the #ValueofGBIF 🌍 report saving an average of 64 hours per analysis in @D_AccessEcon's latest study: https://www.gbif.org/news/5WZThcL928vmPnSvrGhZfE/

There's still offer to register and join an intro/refresher for the GBIF API, #rgbif & #pygbif at the top of the hour!
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ΒΏπŸ¦„?

https://us02web.zoom.us/webinar/register/WN_dTPXWIesTj-EovH40DUZwA

Welcome! You are invited to join a webinar: Data Use Club Practical Sessions: The API and introduction to rgbif and pygbif. After registering, you will receive a confirmation email about joining the webinar.

The API (Application Programming Interface) provides users with the possibility of more complex data filtering options beyond what is available on the website. In this session, we will give you an overview of the GBIF API and accompanying documentation and provide an overview of key R and Python packages and their associated functions that provide access to the data via the API.

Zoom