IPT UAT3 Instance (updated)

Paisaje Jaguar Test - Version 12.0

chocho.v@outlook.com (Victor Chocho Sánchez) — Thu, 29 Jan 2026 16:26:28 +0000

Paisaje Jaguar Test Esta es una edición para probar la publicación en la versión UAT de GBIF

IAS pilot - Observations of alien plant species using a vehicle-mounted camera system in Flanders (Belgium) - Version 1.22

sanne.govaert@inbo.be (Sanne Govaert) — Tue, 27 Jan 2026 10:52:41 +0000

Add authors, change data and metadata

Test dataset Ahmet 13-02-25 - Version 1.6

auzun@gbif.org (Ahmet Hakan Uzun) — Thu, 11 Dec 2025 13:33:54 +0000

A dataset containing all occurrences available in GBIF matching the query: { "and" : [ "BasisOfRecord is Living Specimen", "Year 1000-1989" ] } The dataset includes records from the following constituent datasets. The full metadata for each constituent is also included in this archive: 169 records from Herbarium of University of Guatemala 166 records from Records of the Western Australian Mycology Culture Collection 48 records from WA Department of Parks and Wildlife, Threatened Flora Seed Centre 21 records from Wild bees of Belgium 3915 records from Nordic Genetic Resources 30 records from Culture Collection of Cryophilic Algae 4 records from Fiocruz/CFP - Coleção de Fungos Patogênicos

FloraCAT: Banco de datos de los cormófitos de Cataluña - Version 2.8

systems@gbif.org (GBIF Systems) — Thu, 11 Dec 2025 13:33:53 +0000

FloraCat es un banco de datos que recoge las observaciones sobre Cormófitos (pteridofitos, gimnosperamas y angiospermas) que aparecen en la bibliografía especializada en el marco territorial de Cataluña. También se recoge la información taxonómica, ecológica, corológica, fitosociológica, etc., del taxón, siempre que estos datos figuren en el trabajo.

NeotomaDB_14610_test_insect - Version 1.4

systems@gbif.org (GBIF Systems) — Thu, 11 Dec 2025 13:33:53 +0000

This is a test publication of the 14610_test_insect dataset found in the output data in https://github.com/NeotomaDB/DwC-Mapping

Test dataset 10-07-2025 missing license third attempt - Version 1.4

mpodolskiy@gbif.org (Mike Podolskiy) — Thu, 11 Dec 2025 13:33:48 +0000

test dataset

African Crane Sightings - Version 2.4

systems@gbif.org (GBIF Systems) — Thu, 11 Dec 2025 13:35:20 +0000

The Endangered Wildlife Trust’s (EWT) African Crane Conservation Programme (ACCP) has recorded 26 320 crane sightings in its database from 1978 to 2014. This sightings collection is currently ongoing and records are continuously added to the database by the EWT field staff, various partner organizations and private individuals. Two peak data collection periods were identified: 1994-1996 and 2008-2012 in the dataset. The dataset collection spans five African countries: Kenya, Rwanda, South Africa, Uganda and Zambia; 98% of the data was collected in South Africa. Georeferencing of the dataset was verified before publication of the data. The dataset contains data on three African crane species: Blue Crane Anthropoides paradiseus, Grey Crowned Crane Balearica regulorum and Wattled Crane Bugeranus carunculatus. The Blue and Wattled Cranes are classified by the IUCN Red List as Vulnerable and the Grey Crowned Crane as Endangered. This dataset adds further distribution information about these three threatened species to the GBIF network

Test change DOI - Version 2.2

mpodolskiy@gbif.org (Mike Podolskiy) — Thu, 11 Dec 2025 13:35:17 +0000

Testing new DocBook/HTML convertersThe Insectmobile (Insektmobilen) is a research project at the National History Museum of Denmark, University of Copenhagen, intending to investigate the diversity of flying insects in Denmark. In the summer of 2018, 2019 and 2020, almost 400 volunteers collected flying insects using large custom-made insect nets mounted on the roof of their cars. The bulk insect samples were processed with a non-destructive DNA extraction DNA metabarcoding protocol (dx.doi.org/10.17504/protocols.io.bmunk6ve), and sequences were assigned taxonomy by importing the fasta file into GBIF's sequence ID tool (https://www.gbif.org/tools/sequence-id). The sequences were queried against a 99% clustered version of the BOLD Public Database v2024-01-06 public data (COI-5P sequences).The dataset contains unidentified sequences and potential errors, and contaminants. For example, even though the primers used were developed as universal primers targeting freshwater insects, you will find other phyla, classes, etc. We share these sequences and associated data for the data to be as open as possible, butplease reannotate sequences and filter the data for your specific needs before using the data for analysis.Be aware that the samples may contain identification of organisms coming from the gut content of sampled insects and other environmental DNA sources. Sequence identification certainty is captured in the taxonAssignmentMethod field of the Identification table, and can be interpreted as follows:Thebit scoreis the required size of a sequence database in which the current match could be found just by chance. The bit score is a log2-scaled and normalised raw score. Each increase by one doubles the required database size (2-bit score).Theexpect valueis a parameter that describes the number of hits one can "expect" to see by chance when searching a database of a particular size. It decreases exponentially as the match score increases. Hence, a low expect value is better.identity: How much of the query(input) sequence aligns with the match in the reference database, in percent.matchType: Badges representing different identity thresholds (match types):Blast exact match: identity >= 99% and queryCoverage >= 80%. This is within the threshold of the OTU.Blast ambiguous match: identity >= 99% and queryCoverage >= 80%, but there is at least one more match with similar identity.Blast close match: identity < 99% but > 90% and queryCoverage >= 80%. It is something close to the OTU, maybe the same genus.Blast weak match: there is a match, but with identity < 90% or/and queryCoverage < 80%. Depending on the quality of the sequence, bit score, identity, and expect value, a higher taxon could be inferred from this.Blast no match: no match to the reference database

MICA as Camtrap-DP - Version 4.0

peter.desmet.work@gmail.com (Peter Desmet) — Thu, 11 Dec 2025 10:12:52 +0000

Use correct dataset UUID

Genus Nacella: A revision of this limpet genus across its distribution on the Southern Ocean - Version 1.6

systems@gbif.org (GBIF Systems) — Thu, 11 Dec 2025 13:33:48 +0000

This dataset includes occurrences of the limpet genus Nacella across its distribution in the Southern Ocean, compiled from published data and material (specimens and nucleic acids) associated with the Laboratorio de Genómica y Ecología Molecular Antártica y Sub-Antártica (LAGEMAS) and the Millennium Institute BASE.Our aim is to provide a comprehensive description of the geographic distribution of the genus Nacella to enhance the understanding of marine biodiversity at higher latitudes

Sample from: MICA - Muskrat and coypu camera trap observations in Belgium, the Netherlands and Germany - Version 2.0

peter.desmet.work@gmail.com (Peter Desmet) — Thu, 11 Dec 2025 10:12:52 +0000

MICA - Muskrat and coypu camera trap observations in Belgium, the Netherlands and Germany is an occurrence dataset published by the Research Institute of Nature and Forest (INBO). It is part of the LIFE project MICA, in which innovative techniques are tested for a more efficient control of muskrat and coypu populations, both invasive species. This dataset is a sample of the original dataset and serves as an example of a Camera Trap Data Package (Camtrap DP).

Neotoma checklist - Version 1.4

systems@gbif.org (GBIF Systems) — Thu, 11 Dec 2025 13:33:47 +0000

This is a test publication of the Neotoma taxon list

Moretal Ecuador - Version 5.0

chocho.v@outlook.com (Victor Chocho Sánchez) — Thu, 11 Dec 2025 10:12:28 +0000

Moretal Ecuador

Sample from: MICA - Muskrat and coypu camera trap observations in Belgium, the Netherlands and Germany - Version 2.0

peter.desmet.work@gmail.com (Peter Desmet) — Thu, 27 Mar 2025 10:40:10 +0000

Test dataset 10-07-2025 missing license - Version 1.4

mpodolskiy@gbif.org (Mike Podolskiy) — Thu, 11 Dec 2025 13:33:47 +0000

test dataset

Local Context Test Dataset - Version 1.5

systems@gbif.org (GBIF Systems) — Thu, 11 Dec 2025 10:08:46 +0000

mappings

Registro de sensores acústicos pasivos en el Resguardo - Version 7.0

mpodolskiy@gbif.org (Mike Podolskiy) — Thu, 11 Dec 2025 10:06:43 +0000

Bajo el ACUERDO 004 DE 2023, entre el Instituto de Investigación de Recursos Biológicos “Alexander von Humboldt” y el ministerio de Medio Ambiente y Desarrollo Sostenible, cuyo objetivo fue implementar estrategias de restauración en las áreas degradadas del núcleo de desarrollo forestal, se llevó a cabo el levantamiento de línea base mediante sensores acústicos pasivos. Este levantamiento incluyó el desarrollo de muestreos en el Resguardo

Camera trap based small rodent monitoring: Data from Norwegian alpine tundra - Version 1.0

julia.wiel@nina.no (Julia Wiel) — Thu, 11 Dec 2025 10:06:36 +0000

Small rodents are a key species impacting all levels in the alpine tundra food-web. In 2023 the Norwegian Institute of Nature Research established a national monitoring program for small rodents based on camera trap in the Alpine Tunda on behalf of the Norwegian Enviroenmtal Agency. Data from 5 mountain areas are available here. In each mountain area we cover the most important habitat for small rodents (heath, hummock mire and snowbed) and two alpine zones (low and mid alpine zone). We apply tunnel camera traps, developed and described by Soininen et al. (2015) and the images captured are processed using the semi-automatic workflow established by Böhner et al. (2023). Abundance indices can be estimated following temporal and spatial aggregation of detection event following Kleiven et al. 2023. See Kleiven et. al. 2022 for further details about the monitoring program.

eBirdEventTest - Version 1.4

systems@gbif.org (GBIF Systems) — Thu, 11 Dec 2025 13:33:51 +0000

Aves Tanzanian collection at the Natural History Museum of Denmark (SNM) - Version 1.12

mpodolskiy@gbif.org (Mike Podolskiy) — Thu, 11 Dec 2025 13:33:51 +0000

Collections from Tanzania and the Eastern Arc Mts in particular, in the Zoological Museum, Natural History Museum of Denmark. The Zoological Museum of the Natural History Museum has a long tradition for field work in Tanzania, and in particular in the forests of the Eastern Arc Mountains. In addition to these recent collecting efforts, the museum houses bird material collected 1947-67 in all parts of the country by the Danish plantation owner Thorkild Andersen. Today, our bird collections from Tanzania are among the largest in the world. We should like to see our collections and the associated data being increasingly utilized for scientific research, conservation and education, and to fulfill this goal we are here making part of the data available online. 9605 records, covering 18 Orders; 64 Families; 283 Genera; 621 Species. 1503 records with image links.

TEST Grassland Dynamics - Nørholm Hede (Denmark) - 1921-2021 - Version 1.4

kingenloff@gbif.org (Kate Ingenloff) — Fri, 06 Jun 2025 13:00:24 +0000

Vegetation Abundance data as used for the Horizon Europe project "Biodiversity Digital Twin for Advanced Modelling, Simulation and Prediction Capabilities" (https://biodt.eu/). This dataset is derived from data provided at https://b2share.eudat.eu/records/b7fac99349684e88b56410f2ce845c4c which is derived from the original dataset here: https://doi.org/10.23728/b2share.d4037ff5a1fe4a20b28ead7010cf74ba.

Test big URL source dataset - Version 1.3

mpodolskiy@gbif.org (Mike Podolskiy) — Thu, 11 Dec 2025 13:33:46 +0000

test dataset

TEST Grassland Dynamics - Jalovecka dolina (Slovakia) - 2002-2018 - Version 1.0

kingenloff@gbif.org (Kate Ingenloff) — Mon, 31 Mar 2025 09:09:02 +0000

Vegetation Abundance data as used for the Horizon Europe project "Biodiversity Digital Twin for Advanced Modelling, Simulation and Prediction Capabilities" (https://biodt.eu/). This dataset is derived from the data at https://b2share.eudat.eu/records/bffdd2c07fa54c588e3318014e4c3843, which is derived from the original source data at https://doi.org/10.23728/b2share.7f6ee7d795ed47dfa11d2a4ed46541c6.

York University Phenology Project - ITS2, library #2, >0.99 barcode matches - Version 1.4

mpodolskiy@gbif.org (Mike Podolskiy) — Thu, 11 Dec 2025 13:33:46 +0000

The York University Phenology Project evaluated the utility of managed honey bee (Apis mellifera) colonies as bio-monitors of plant community phenology. Using Amro Zayed's urban apiary as the study site, pollen traps were installed at the base of 5 honey bee colonies, and pollen was collected weekly during a 24 hr. sampling period for 15 weeks. On-site field monitoring of plants in flowering was simultaneously completed using a 1000 m. radius around the study site. Collected pollen samples were split into two libraries, each of which underwent two-locus metabarcoding using ITS2 and rbcL1, yielding 4 total metabarcoding libraries. This metabarcoding library contains ITS2 ASVs for weeks 5 – 15 that were matched to a MetaCurator reference barcode with a >0.99 similarity threshold. Metabarcoding methods were independently validated and are described here: https://link.springer.com/article/10.1186/s13007-023-01097-9 The study site was urban, featuring many ornamental plantings of non-native species, and mixed-wood lots of native and invasive species.[This dataset was processed using the GBIF Metabarcoding Data Toolkit.]

TEST Grassland Dynamics - LTSER Engure (Latvia) - 1997-2008 - Version 1.4

kingenloff@gbif.org (Kate Ingenloff) — Fri, 06 Jun 2025 13:08:51 +0000

Vegetation Abundance data as used for the Horizon Europe project "Biodiversity Digital Twin for Advanced Modelling, Simulation and Prediction Capabilities" (https://biodt.eu/). This dataset is derived from the data at https://b2share.eudat.eu/records/248a714052f743e4969ac7f23412fcb4, which is derived from the original source data at http://doi.org/10.23728/b2share.fd8970a8bb59400c93f15618db8a00e0.

Test occurrence 24-06-2025 (ID issues) - Version 1.12

mpodolskiy@gbif.org (Mike Podolskiy) — Thu, 11 Dec 2025 13:33:46 +0000

test titre juste pour test info 1info 2info 3

Grassland Dynamics - Hochschwab (Austria) - 2001, 2008, 2015 (BioDT) - Version 1.5

kingenloff@gbif.org (Kate Ingenloff) — Sat, 21 Jun 2025 08:18:04 +0000

Vegetation abundance and cover data as used in the Horizon Europe project "Biodiversity Digital Twin for Advanced Modelling, Simulation and Prediction Capabilities" (https://biodt.eu/). This dataset is derived from data provided at https://b2share.eudat.eu/records/b6168e3b4a364819a22dd5558e2445ea.

Test dataset 10-07-2025 missing license - Version 1.6

mpodolskiy@gbif.org (Mike Podolskiy) — Thu, 11 Dec 2025 09:26:05 +0000

test dataset

Prueba CEMAR - Version 1.8

chocho.v@outlook.com (Victor Chocho Sánchez) — Thu, 11 Dec 2025 09:39:01 +0000

Prueba

Preserve resource parameter in URL when validation fails on metadata page - Version 1.0

mpodolskiy@gbif.org (Mike Podolskiy) — Wed, 13 Nov 2024 14:23:11 +0000

just a test

EML dataset - Version 1.0

peter.desmet.work@gmail.com (Peter Desmet) — Wed, 04 Jun 2025 15:20:00 +0000

This is a metadata-only dataset to test the generated EML.

New Zealand National Forestry Herbarium - Version 1.2

systems@gbif.org (GBIF Systems) — Wed, 09 Apr 2025 06:55:33 +0000

Specimen records from the New Zealand National Forestry Herbarium.

Citation test - Version 1.1

peter.desmet.work@gmail.com (Peter Desmet) — Thu, 27 Mar 2025 08:29:20 +0000

Test dataset.

Sea Watch Foundation Marine Megafauna Sightings (1930 to 1970): batch_1 - Version 1.1

systems@gbif.org (GBIF Systems) — Wed, 05 Feb 2025 13:02:26 +0000

The Sea Watch Foundation has been collecting both effort-based and non-effort-based sightings data of marine mammals and other megafauna since the late 1960s. The main area of coverage is the waters around Britain and Ireland but with some surveys elsewhere. Data come from platforms ranging from small to large vessels either on dedicated survey or platforms of opportunity, and from coastal land sites. Data collected include environmental conditions, marine traffic, and seabird associations. Sighting records come from all types of marine user from marine mammal biologists to citizen scientists and members of the public. All sightings are checked, and species ID validated from still or video images and/or descriptions, except in those cases where persons are known, experienced, observers.