GBIF: The Global Biodiversity Information Facility

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GBIF: The Global Biodiversity Information Facility

GBIF provides the human and informatics infrastructure to enable primary biodiversity data to be made discoverable and accessible via the Internet.

GBIF—the Global Biodiversity Information Facility—is an international network and research infrastructure aimed at providing anyone, anywhere, open access to data about all life on Earth. More than 1.8 billion species occurrence records, ranging from museum specimens to amateur observations, are accessible via the GBIF data portal. The data published through GBIF are used for a wide variety of sci

entific applications, including modelling the potential spread of invasive alien species, projecting impacts of climate change on biodiversity and establishing priorities for the collection of wild crop relatives.

08/08/2025

Our spider senses are tingling 🕷️🦹... maybe it's from the Antarctic cold?

The Antarctic seafloor south of the Polar Front is the Earth’s coldest marine environment, yet many unique benthic species like sea spiders (Pycnogonida) are known to inhabit these harsh areas. 🌊

A study investigated the sea spider species distribution across the Antarctic Polar Front 🧊 through spatial mapping mapping and assessing 254 sea spider species from 2,187 sites using occurrence data from GBIF and OBIS. They found distinct communities above 1000 m depth, but greater mixing and species richness below 2000 m. 🔍

Read more: 🔗 https://gbif.link/sea-spiders

07/08/2025

Another dataset using the GBIF Metabarcoding Data Toolkit has been o-fish-ally 🐟 published!

Researchers used eDNA as a non-invasive method to sample mesophotic reef fish in Mayotte and La Réunion in the West Indian Ocean. 🌊

Results revealed insights into taxonomic and functional structure and richness of fishes across the two islands, 🏝️with more than 1,200 occurrence records mobilized to GBIF, supported by .

See the dataset: 🔗 https://gbif.link/edna-fish

06/08/2025

🐊 How do skills acquired through DataCamp translate to a better understanding of biodiversity data?

For Ibrahim Abdel Basir Gomaa, who completed courses in , , machine learning, and statistics, these skills enabled him to confidently query large biodiversity datasets from sources like GBIF. 🔎

“One of my proudest achievements was developing a predictive model to assess species distribution patterns based on environmental factors. The data skills I learned helped me communicate key insights to stakeholders, aiding conservation efforts.”⭐

“Overall, DataCamp empowered me to bridge the gap between raw data and actionable insights, making a tangible impact in biodiversity research and preservation.”

📈 Ready to boost your own data skills?

Apply for a free DataCamp license and start upskilling:🔗https://gbif.link/datacampdonates

04/08/2025

Not worth its weight in gold... 🟡 Recent study explores the impacts of illegal gold mining in the Amazon.

Researchers developed a framework utilizing GBIF-mediated species occurrence data, to assess impacts from deforestation, erosion and mercury contamination. This revealed extensive environmental damage and critical public health consequences, including widespread mercury exposure and associated morbidities.

The estimated societal costs of these impacts were more than twice the potential benefits gained by illegal mining operations... not gold star behavior 😢⭐

🔗 https://gbif.link/amazon-gold-mining

31/07/2025

Rain check 🌧️ Did precipitation patterns influence the spread of the bubonic plague in (1772–1964 CE)?

During this period, plague incidence appeared to correlate with rainfall but in different ways across northern and southern China.

🐭 A recent study explored whether regional differences in rodent reservoir species (those that carry the disease) could explain this pattern. Using environmental niche modeling of 33 rodent species and one flea vector combined with GBIF-mediated data and historical climate records, the authors tested this hypothesis.

The models found little evidence that the reservoir species’ responses to precipitation explained the regional variation. Precipitation was not identified as a strong predictor in either region.

The study highlights the complexity of reservoir–vector–disease systems and cautions against drawing conclusions based on limited species data. 🔎

🔗 https://gbif.link/data-use-resevoir-species

30/07/2025

Advancing marine biodiversity monitoring through ! 🪼

The Medusa a la Vista project—part of the Citizen Science Observatory, led by EMBIMOS, Institut de Ciències del Mar (ICM CSIC)”.—engages the public in documenting jellyfish and other pelagic organisms along the Catalan coast. Leveraging MINKA's online platform, participants upload geolocated images and observations, contributing to a growing marine biodiversity dataset. 🌊

🔬 Each submission undergoes collaborative validation, including expert-reviewed taxonomic ID before being mobilized to global data repositories such as GBIF.

A recent dataset of almost four thousand medusa records from this project has been made accessible on GBIF with the support of !

Check it out here: 🔗 https://gbif.link/minka-medusa

29/07/2025

Last few days to have your say in the pre-review phase for the new Darwin Core Data Package!

⚡ We encourage you to get familiar with the Data Package and provide feedback by attempting to map original datasets as part of a community pre-review.

🔎 This pre-review phase is open until 1 August 2025.

Learn more: https://gbif.link/dwc-dp

28/07/2025

News flash! ⚡ GBIF establishes a task group on Indigenous data governance to offer input and guidance for implementing the within the GBIF network 🌱

The international task group led by Dr Lydia Jennings will help the GBIF network establish community norms aimed at protecting Indigenous rights and interests in biodiversity data and knowledge.

Read more: 🔗 https://gbif.link/IDG

Local Contexts

25/07/2025

Spore than a puff of air☁️ — introducing the Global Spore Sampling Project🍄

This project collected airborne spore samples across 47 sites around the world, resulting in 2,768 extracted samples over two years. 🧬

Using a bioinformatics pipeline, researchers identified 27,945 species-level taxonomic units from these samples. 🔎

The resulting dataset was mobilized to GBIF using the GBIF Metabarcoding Data Toolkit, with support from !

Check out the dataset here: 🔗https://gbif.link/spore-dataset
See the GBIF here: 🔗 https://gbif.link/GSSP

Suomen Lajitietokeskus

24/07/2025

🥳 joins GBIF as a Voting Participant!

The Bulgarian Ministry of Environment and Water will represent the country on the GBIF Governing Board and has agreed to establish a local node and appoint a head of delegation. 🐦

Read more about this news story: 🔗https://gbif.link/bulgaria

Министерство на околната среда и водите Pensoft Publishers

23/07/2025

If you're a h**p enthusiast, 🐍🐢make sure to check out this new dataset available on GBIF!

The Reptile and Amphibian Collection at the Museu da Ciência da Universidade de Coimbra has recently been made digitally accessible via GBIF and includes 430 specimens representing 42 species from across continental ! The dataset mainly contains records collected in the 19th and 20th centuries.

Notable for its 12 Iberian endemics and rare species across 16 districts, the dataset offers insights into Portugal's h**petofauna. 🔍

The dataset was mobilized to GBIF with support of . 💚

🔗: https://gbif.link/portugal-h**ps

21/07/2025

Ever thought about learning new data skills? 👩‍💻

Through our partnership with DataCamp Adel learned introductory skills in , data manipulation, and data visualization techniques with . 🎉

"Using DataCamp, I was able to improve my data analysis and visualization skills, which significantly benefited my work in biodiversity. I developed a biodiversity monitoring dashboard that streamlined data collection and reporting. This tool is now being used by my team to track species populations more effectively and make data-driven conservation decisions," said Adel.🌏

Learn more about applying for the 2025 programme: 🔗https://gbif.link/datacampdonates

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+45 35 32 14 70

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http://www.gbif.org/

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