Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The GBIF Backbone Taxonomy is a single, synthetic management classification with the goal of covering all names GBIF is dealing with. It's the taxonomic backbone that allows GBIF to integrate name based information from different resources, no matter if these are occurrence datasets, species pages, names from nomenclators or external sources like EOL, Genbank or IUCN. This backbone allows taxonomic search, browse and reporting operations across all those resources in a consistent way and to provide means to crosswalk names from one source to another.
It is updated regulary through an automated process in which the Catalogue of Life acts as a starting point also providing the complete higher classification above families. Additional scientific names only found in other authoritative nomenclatural and taxonomic datasets are then merged into the tree, thus extending the original catalogue and broadening the backbones name coverage. The GBIF Backbone taxonomy also includes identifiers for Operational Taxonomic Units (OTUs) drawn from the barcoding resources iBOL and UNITE.
International Barcode of Life project (iBOL), Barcode Index Numbers (BINs). BINs are connected to a taxon name and its classification by taking into account all names applied to the BIN and picking names with at least 80% consensus. If there is no consensus of name at the species level, the selection process is repeated moving up the major Linnaean ranks until consensus is achieved.
UNITE - Unified system for the DNA based fungal species, Species Hypotheses (SHs). SHs are connected to a taxon name and its classification based on the determination of the RefS (reference sequence) if present or the RepS (representative sequence). In the latter case, if there is no match in the UNITE taxonomy, the lowest rank with 100% consensus within the SH will be used.
The GBIF Backbone Taxonomy is available for download at https://hosted-datasets.gbif.org/datasets/backbone/ in different formats together with an archive of all previous versions.
The following 105 sources have been used to assemble the GBIF backbone with number of names given in brackets:
The Global Biodiversity Information Facility (GBIF) is an international network and data infrastructure funded by the world's governments providing global data that document the occurrence of species. GBIF currently integrates datasets documenting over 1.6 billion species occurrences, growing daily. The GBIF occurrence dataset combines data from a wide array of sources including specimen-related data from natural history museums, observations from citizen science networks and environment recording schemes. While these data are constantly changing at GBIF.org, periodic snapshots are taken and made available on AWS.
Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
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Observations from iNaturalist.org, an online social network of people sharing biodiversity information to help each other learn about nature.
Observations included in this archive met the following requirements:
* Published under one of the following licenses or waivers: 1) http://creativecommons.org/publicdomain/zero/1.0/, 2) http://creativecommons.org/licenses/by/4.0/, 3) http://creativecommons.org/licenses/by-nc/4.0/
* Achieved one of following iNaturalist quality grades: Research
* Created on or before 2025-07-08 15:00:36 -0700
You can view observations meeting these requirements at https://www.inaturalist.org/observations?created_d2=2025-07-08+15%3A00%3A36+-0700&d1=1600-01-01&license=CC0%2CCC-BY%2CCC-BY-NC&quality_grade=research
Public Domain Mark 1.0https://creativecommons.org/publicdomain/mark/1.0/
License information was derived automatically
Dataset that provides a direct link to PNG's data hosted on the GBIF website/ records.
Contact emails: info@gbif.org / helpdesk@gbif.org
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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The Global Register of Introduced and Invasive Species (GRIIS) presents validated and verified national checklists of introduced (alien) and invasive alien species at the country, territory, and associated island level.
Checklists are living entities, especially for biological invasions given the growing nature of the problem. GRIIS checklists are based on a published methodology and supported by the Integrated Publishing Tool that jointly enable ongoing improvements and updates to expand their taxonomic coverage and completeness.
Phase 1 of the project focused on developing validated and verified checklists of countries that are Party to the Convention on Biological Diversity (CBD). Phase 2 aimed to achieve global coverage including non-party countries and all overseas territories of countries, e.g. those of the Netherlands, France, and the United Kingdom.
All kingdoms of organisms occurring in all environments and systems are covered.
Checklists are reviewed and verified by networks of country or species experts. Verified checklists/ species records, as well as those under review, are presented on the online GRIIS website (www.griis.org) in addition to being published through the GBIF Integrated Publishing Tool.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
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The Global Biodiversity Information Facility (GBIF) indexes thousands of biodiversity datasets from Natural History Collections, citizen science initiatives (e.g., iNaturalist, eBird), and other sources. As part of the index process, GBIF associates at least two identifiers with indexed records: a record id (aka gbifID) and a dataset id (aka dataset key). These ids are central to do lookup, reference data, and package interpreted data products.
This publication contains an exhaustive list of GBIF IDs and ids associated by their data providers as derived from:
GBIF.org (01 March 2023) GBIF Occurrence Download https://doi.org/10.15468/dl.pk3trq
The resource (size: ~260GB) provided by GBIF had content id hash://sha256/c8bac8acb28c8524c53589b3a40e322dbbbdadf5689fef2e20266fbf6ddf6b97 and was used to generate the resource included in this publication using
preston cat 'zip:hash://sha256/c8bac8acb28c8524c53589b3a40e322dbbbdadf5689fef2e20266fbf6ddf6b97!/0015281-230224095556074.csv'
| cut -f 1,2,3,37,38,39
| gzip\
gbifid.tsv.gz
with the content id of gbifid.tsv.gz (size: ~35GB) being hash://sha256/a339e32e10edaad585f61f2ded06cbb23e0618c65a6360db18d7d729054940a8 .
the first 10 lines of gbifid.tsv.gz as extracted via
preston cat --remote https://zenodo.org/record/7789866/files,https://linker.bio hash://sha256/a339e32e10edaad585f61f2ded06cbb23e0618c65a6360db18d7d729054940a8
| gunzip
| head
are:
gbifID datasetKey occurrenceID institutionCode collectionCode catalogNumber 2997162320 c71c8000-9fc7-422c-804a-ce6abe751771 3399442 CEPEC CEPEC CEPEC00109669 2997162309 c71c8000-9fc7-422c-804a-ce6abe751771 2733085 CEPEC CEPEC CEPEC00000818 2997162317 c71c8000-9fc7-422c-804a-ce6abe751771 2733086 CEPEC CEPEC CEPEC00000888 2997162313 c71c8000-9fc7-422c-804a-ce6abe751771 3399443 CEPEC CEPEC CEPEC00109744 2997162306 c71c8000-9fc7-422c-804a-ce6abe751771 2733087 CEPEC CEPEC CEPEC00000889 2997162316 c71c8000-9fc7-422c-804a-ce6abe751771 3399440 CEPEC CEPEC CEPEC00109605 2997162324 c71c8000-9fc7-422c-804a-ce6abe751771 2733088 CEPEC CEPEC CEPEC00000890 2997162308 c71c8000-9fc7-422c-804a-ce6abe751771 3399441 CEPEC CEPEC CEPEC00109615 2997162303 c71c8000-9fc7-422c-804a-ce6abe751771 2733089 CEPEC CEPEC CEPEC00000891
Note that at time of writing, the html resource associated with the occurrence id 2997162320, and data set key c71c8000-9fc7-422c-804a-ce6abe751771 (extracted from of the first data row example above) are available via:
https://gbif.org/occurrence/2997162320
and
https://gbif.org/dataset/c71c8000-9fc7-422c-804a-ce6abe751771
respectively.
This resource was initially created to help integrate with Bionomia (https://bionomia.net) to help associate people identifiers provided by bionomia to their original records via their GBIF ids. Bionomia re-uses GBIF records ids as a way to define links between records and the people (e.g., curators, collectors, identifiers) that worked on them.
In other words, this resource provides a versioned translation table from the GBIF data universe (as defined by GBIF record ids, and dataset keys) to the data collections that exist (and evolve) independent of it.
Note that the resource identified by hash://sha256/c8bac8acb28c8524c53589b3a40e322dbbbdadf5689fef2e20266fbf6ddf6b97 was not included in this publication it was too big (260GB) to fit. You may be able to retrieve the resource from its original location at https://api.gbif.org/v1/occurrence/download/request/0015281-230224095556074.zip .
The Global Invasive Species Database is a free, online searchable source of information about species that negatively impact biodiversity. The GISD aims to increase public awareness about invasive species and to facilitate effective prevention and management activities by disseminating specialist’s knowledge and experience to a broad global audience. It focuses on invasive alien species that threaten native biodiversity and covers all taxonomic groups from micro-organisms to animals and plants.
Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
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Observations from minka-sdg.org, MINKA Citizen Science Observatory is a community-based platform dedicated to biodiveristy and environmental data collection, utilising geolocalized images and observations uploaded by citizens through a mobile app and website. The dataset is produced by the BioPlatgesMet project, nested within MINKA, focuses on documenting and monitoring biodiversity in Barcelona's urban beach areas. This project highlights the dynamic dune ecosystems and engages the local community, naturalists, students, and enthusiasts in data collection. MINKA is a platform coordinated by the ICM-CSIC and the project BioPlatgesMet by AMB in Barcelona.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Derived dataset of species records downloaded for producing SDMs used in study on the "Potential decline in mango pollination due to climate change in South Africa"
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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El DICTUS mantiene la colección de peces nativos de Sonora que incluye la totalidad de la representación de los peces nativos y exóticos del Estado. A pesar de ser nodo de la REMIB, esta colección no se ha computarizado e incorporado a este nodo. La colección representa el 6% con respecto al territorio nacional. Está ordenada bajo la clasificación de Eschmeyer (1998). Se encuentra arreglada de acuerdo a números de catálogo progresivos por especie por localidad a lo largo del tiempo. La colección cuenta con mas de 35,000 ejemplares repartidos en 1000 registros. Las recolectas datan desde los años 1960 hasta el presente y se encuentran mantenidos en frascos de cristal en alcohol etílico al 70%. Cuenta con registro de recolectores, números de individuos, fechas y observaciones de recolecta, localidades georreferenciadas, autoridad y fecha de determinación. La Colección de Peces Nativos de Sonora mantiene las 64 especies que habitan actualmente las aguas continentales del Estado de Sonora, y las extirpadas de territorio nacional. Los peces nativos comprenden 43 especies registradas a largo de recolectas iniciadas a finales del siglo antepasado hasta la actualidad. Casi el 67% de los peces que habitan en Sonora son nativos, el restante 33% son peces introducidos con fines acuiculturales, de ornato y de control biológico. Sonora representa el 8.9% de las especies de peces nativos del país y el 19.5, 33.3 y 38.8% de los géneros, familias y órdenes a nivel nacional. Dentro de las especies con distribución actual para Sonora, el 53.48% se encuentra incluido bajo alguna categoría de protección de acuerdo a la NOM-059-2002. Ocho están en especies en peligro de extinción, sin embargo 7 de ellas ya han sido extirpadas de territorio nacional. Como amenazadas se encuentran 11 y como Sujetas a Protección especial. Tres especies son endémicas dentro de los límites del estado, sin embargo, Sonora comparte un número importante de endemismos restringidos a las provincias biogeográficas Sonorense, Madrense y Sinaloense. Este proyecto pretende computarizar la colección de peces nativos de Sonora, poner a disposición y dar permanente actualización a la información de la colección a través del Nodo de la REMIB que mantiene en DICTUS.
Reino: 1 Filo: 1 Clase: 1 Orden: 15 Familia: 23 Género: 54 Especie: 85
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Dataset contains species name, their number of specimen and wet-weight for each taxa (0,1 mg). Samples were originally preserved in formaline and later converted to ethanol. After identification samples are stored at Bergen Museum/University of Bergen.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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As part of the Antarctic Site Inventory (e.g. Lynch et al. 2012, Naveen and Lynch 2011), we have developed a database and gathered photographic information on lichen richness for sites that are frequently visited by tourists on the Antarctic Peninsula.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
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The Purdue Entomological Research Collection (PERC) is an integral part of the Department of Entomology at Purdue University. Specimens housed in the collection are the basis for research in systematic entomology at Purdue and by specialists worldwide. The PERC also serves as a reference to facilitate the accurate and timely identification of insects for extension and teaching needs. Approximately 2 million specimens are held, representing more than 140,000 species. This includes mainly dry-mounted pinned material as well as many specimens stored in liquid preservative or mounted on slides.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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The extensive African Rodentia specimen and tissue collections of the Royal Museum for Central Africa (RMCA), the Royal Belgian Institute of Natural Sciences (RBINS) and the University of Antwerp (UA) provide taxonomical, ecological, geographical and genetic information, as well as measurements and data on parasitic and viral infections. The scientific importance of these collections is that, although numerous African rats and mice have been described over the last 150 years, many species descriptions are based on very few specimens.
Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
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The Luther entomological research collection, one of the collections of the Hoslett Museum of Natural History at Luther College in Decorah, Iowa, is an important repository of Northeast Iowa insect biodiversity and includes many state record specimens (insect species not previously found in Iowa) not found in the Iowa State University insect collection. The LERC has a unique role specializing in the documentation of insect biodiversity of the driftless region in NE Iowa, SE Minnesota, and SW Wisconsin.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Specimens preserved at Sala de Colecciones Biológicas Universidad Católica del Norte (SCBUCN), Facultad de Ciencias del Mar, Coquimbo.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
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The present historical paper deals with the pelagic Polychaetes except the Tomopterids collected on the cruises of the "Thor", 1908-1910 in the Mediterannenan and adjacent waters. The tables included in this report present also the scientific results from other research vessels such as "Dana" (years 1921 and 1930) and "S/S Pangan" (1911).
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
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The CUMV Amphibian & Reptile Collection became one of the leading university based herp collections in North America during the first half of this century, largely because of the efforts of Professor Albert Hazen Wright and his wife, Anna Allen Wright. The major strengths of the collection, amphibians from the southeastern United States and both reptiles and amphibians from the Northeast, reflects the intensive collection by the Wrights. Much of the material collected by the Wrights in New York and Georgia is not duplicated elsewhere. The last 15 years have been seen important acquisitions for the collection. To complement our traditional strength in North American taxa, we have made a concerted effort to obtain foreign material, especially synoptic series representing geographic areas. Through collecting, exchanges and acquisition of other various collections we now have good representation of Costa Rican viperids, lizards from Western and South Australia, amphibians and reptiles from Puerto Rico, snakes and lizards from Mexico, and a more representative collection of African and European species.
Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
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Data set about the annual monitoring of the effect of herbivorism on the conservation status of endangered species Androcymbium europaeum. Since 2010, the SERPAM Department (Evaluation, Restoration and Protection of Mediterranean Agrosystems Service) of the Zaidin Experimental Station belonging to Spanish National Research Council (CSIC-EEZ), has been carrying out annual sampling to evaluate the effect of domestic and wild livestock (eg. rabbits) on the pastures inhabited by Androcymbium europaeum. A randomized block design with three treatments (type of management: rabbit and domestic herbivorism; only excluded to livestock; and excluded to rabbit and livestock) was performed. In each treatment, two types of monitoring were carried out: abundance estimation of A. europaeum by counting individuals on 50 x 50 cm squares; and plant species diversity in 2-m long transects using the modified Point-Quadrat method. This study was carried out in the "Rambla de las Amoladeras" (Almería) within the Cabo de Gata-Níjar protected area (southern Spain). The dataset describes information from 2010 to 2022. Monitoring is performed annually.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
This is the latest version of the dataset initially published to GBIF by the Invasive Species Specialist Group (ISSG) on behalf of the U.S. Geological Survey on October 12, 2020, at https://www.gbif.org/dataset/6b64ef7e-82f7-47a3-8ddb-ec6794ea07d6. Like that checklist, this version presents validated and verified national checklists of introduced (alien) and invasive alien species at the sub-country level. The other two related checklists for the United States, also newly published separately as V2.0, are for the States of Alaska and Hawaii.
Differences between two previous versions and ver.2.0, 2022 (this dataset): SIZE: the first version V1.0 - 5,006 accepted names (arthropods were not included); the previous version - 8,654 accepted names and two unranked hybrids; ver.2.0, 2022 (this dataset) - 8,525 accepted names and two unranked hybrids. OTHER DIFFERENCES: the previous version provided: a broader inclusion of arthropods; approximate dates of introduction (where available); 4,693 references; improved disambiguation of scientific names; biocontrol species information (where applicable); taxonomic synonyms, where available, in taxonRemarks field; unique occurrenceIDs; no habitat information; ver.2.0, 2022 (this dataset) adds pathway and habitat information, where available, more precise management of names and synonyms (and so is smaller than the previous version), and additional data on approximate dates of introduction.
OVERVIEW: Introduced (non-native) species that becomes established may eventually become invasive, so tracking introduced species provides a baseline for effective modeling of species trends and interactions, geospatially and temporally. The umbrella dataset, called United States Register of Introduced and Invasive Species (US-RIIS), is comprised of three lists, one each for Alaska (AK, with 545 records), Hawaii (HI, with 5,628 records), and the conterminous (or lower 48) United States (L48, with 8,527 records, this dataset). Each list includes introduced (non-native), established (reproducing) taxa that: are, or may become, invasive (harmful) in the locality; are not known to be harmful there; and/or have been used for biological control in the locality.
To be included in the Global Register of Introduced and Invasive Species - United States (Contiguous), or GRIIS-L48 (with L48 meaning the Lower 48 Conterminous United States), a taxon must be non-native everywhere in the locality and established (reproducing) anywhere in the locality. Native pest species are not included.
Each record has information on taxonomy, a vernacular name, establishment means designation (introduced unintentionally, or assisted colonization), degree of establishment (established, invasive, or widespread invasive), hybrid status, pathway of introduction (where available), habitat (where available), whether a biocontrol species, dates of introduction (where available; currently 46% of the records for the conterminous United States), associated taxa (where applicable), native and introduced distributions (where available), and citations for the authoritative source(s) from which this information is drawn. The umbrella dataset US-RIIS builds on a previous dataset, A Comprehensive List of Non-Native Species Established in Three Major Regions of the U.S.: Version 3.0 (Simpson et al., 2020, https://doi.org/10.5066/p9e5k160).
There are 14,700 records in the master list (USRIISv2_MasterList) and 12,571 unique scientific names. The list is derived from more than 5,800 authoritative sources (USRIISv2_AuthorityReferences) and was reviewed by (or based on input from) more than 30 taxonomic experts and invasive species scientists.
Many thanks to these reviewers and contributors: Coauthors Pam Fuller (USGS Emeritus), Kevin Faccenda (University of Hawaii), Neal Evenhuis (Bishop Museum), Janis Matsunaga (Hawaii Department of Agriculture), and Matt Bowser (US-Fish and Wildlife Service); contributors Rachael Blake (data science), National Socio-Environmental Synthesis Center (SESYNC); M. Lourdes Chamorro (Curculionidae), USDA-ARS Entomology; Meghan C. Eyler (data reviewer), US Fish & Wildlife Service; Danielle Froelich (Hawaiian botany), SWCA Environmental Consultants; Thomas Henry (Heteroptera), USDA-ARS Entomology; Sam James (Annelida), Maharishi University; Nancy Khan (Hawaiian botany), Smithsonian Institution; Alex Konstantinov (Chrysomelidae), USDA-ARS Entomology; Andrew P. Landsman (Arachnida), National Park Service, C&O Canal National Historical Park; Christopher Lepczyk (Vertebrata), Auburn University; Sandy Liebhold (Coleoptera), USDA-FS; Steven Lingafelter (Cerambycidae), USDA-APHIS; Walter Meshaka (Herpetology), State Museum of Pennsylvania; Gary L. Miller (Aphididae), USDA-ARS Entomology; Allen Norrbom (Tephritidae), USDA-ARS Entomology; Shyama Pagad (global invasive species), IUCN SSC Invasive Species Specialists' Group; John Reynolds (Annelida), Oligochaetology Laboratory; Alexander Salazar (Lycosidae), Miami University, Ohio; Elizabeth A. Sellers (data manager), USGS; Derek Sikes (Alaskan invertebrates), University of Alaska; Bruce A. Snyder (Annelida), Georgia College and State University; Alma Solis (Pyralid moths), USDS-ARS at the Smithsonian Institution; Rebecca Turner (data manager), Scion Inc., New Zealand; Darrell Ubick (Arachnida), Cal Academy; Warren Wagner (Hawaiian botany), Smithsonian Institution; Mark Wetzel (Annelida), Illinois Natural History Survey; and James D. Young (Lepidoptera), USDA-APHIS-PPQ-PHP. Our apologies to the many contributing experts we may have inadvertently omitted.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The GBIF Backbone Taxonomy is a single, synthetic management classification with the goal of covering all names GBIF is dealing with. It's the taxonomic backbone that allows GBIF to integrate name based information from different resources, no matter if these are occurrence datasets, species pages, names from nomenclators or external sources like EOL, Genbank or IUCN. This backbone allows taxonomic search, browse and reporting operations across all those resources in a consistent way and to provide means to crosswalk names from one source to another.
It is updated regulary through an automated process in which the Catalogue of Life acts as a starting point also providing the complete higher classification above families. Additional scientific names only found in other authoritative nomenclatural and taxonomic datasets are then merged into the tree, thus extending the original catalogue and broadening the backbones name coverage. The GBIF Backbone taxonomy also includes identifiers for Operational Taxonomic Units (OTUs) drawn from the barcoding resources iBOL and UNITE.
International Barcode of Life project (iBOL), Barcode Index Numbers (BINs). BINs are connected to a taxon name and its classification by taking into account all names applied to the BIN and picking names with at least 80% consensus. If there is no consensus of name at the species level, the selection process is repeated moving up the major Linnaean ranks until consensus is achieved.
UNITE - Unified system for the DNA based fungal species, Species Hypotheses (SHs). SHs are connected to a taxon name and its classification based on the determination of the RefS (reference sequence) if present or the RepS (representative sequence). In the latter case, if there is no match in the UNITE taxonomy, the lowest rank with 100% consensus within the SH will be used.
The GBIF Backbone Taxonomy is available for download at https://hosted-datasets.gbif.org/datasets/backbone/ in different formats together with an archive of all previous versions.
The following 105 sources have been used to assemble the GBIF backbone with number of names given in brackets: