cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.13138446
title: Global Invasive and Alien Traits and Records (GIATAR) dataset

description: Monitoring and managing the global spread of invasive and alien species requires accurate spatiotemporal records of species presence and information about the biological characteristics of species of interest including life cycle information, biotic and abiotic constraints and pathways of spread. The Global Invasive and Alien Traits And Records (GIATAR) dataset provides consolidated dated records of invasive and alien presence at the country-scale combined with a suite of biological information about pests of interest in a standardized, machine-readable format. We provide dated presence records for 46,666 alien taxa in 249 countries constituting 827,300 country-taxon pairs, joined with additional biological information for thousands of taxa. GIATAR is designed to be quickly updateable with future data and easy to integrate into ongoing research on global patterns of alien species movement using scripts provided to query and analyze data. 

This publication includes:



GIATAR dataset files (dataset)

Functions in Python and R to join tables and query data (query_functions)

Tutorials and example queries in Python and R (tutorials)


For more information, please refer to the publication:



Saffer, Ariel, Thom Worm, Yu Takeuchi, and Ross Meentemeyer. “GIATAR: A Spatio-Temporal Dataset of Global Invasive and Alien Species and Their Traits.” Scientific Data 11, no. 1 (September 11, 2024): 991. https://doi.org/10.1038/s41597-024-03824-w.

 

Changes in this version (September 15, 2025):





Latest records as of September 8, 2025



For continuous updates to code, please refer to our Github repository: https://github.com/ncsu-landscape-dynamics/GIATAR-dataset
DOI: 10.5281/zenodo.17123201
title: Global Invasive and Alien Traits and Records (GIATAR) dataset

description: Monitoring and managing the global spread of invasive and alien species requires accurate spatiotemporal records of species presence and information about the biological characteristics of species of interest including life cycle information, biotic and abiotic constraints and pathways of spread. The Global Invasive and Alien Traits And Records (GIATAR) dataset provides consolidated dated records of invasive and alien presence at the country-scale combined with a suite of biological information about pests of interest in a standardized, machine-readable format. We provide dated presence records for 46,666 alien taxa in 249 countries constituting 827,300 country-taxon pairs, joined with additional biological information for thousands of taxa. GIATAR is designed to be quickly updateable with future data and easy to integrate into ongoing research on global patterns of alien species movement using scripts provided to query and analyze data. 

This publication includes:



GIATAR dataset files (dataset)

Functions in Python and R to join tables and query data (query_functions)

Tutorials and example queries in Python and R (tutorials)


For more information, please refer to the publication:



Saffer, Ariel, Thom Worm, Yu Takeuchi, and Ross Meentemeyer. “GIATAR: A Spatio-Temporal Dataset of Global Invasive and Alien Species and Their Traits.” Scientific Data 11, no. 1 (September 11, 2024): 991. https://doi.org/10.1038/s41597-024-03824-w.

 

Changes in this version (September 15, 2025):





Latest records as of September 8, 2025



For continuous updates to code, please refer to our Github repository: https://github.com/ncsu-landscape-dynamics/GIATAR-dataset
DOI: 10.25740/yc804kn7989
title: Data used in arcticle "Southern Ocean net primary production influenced by seismically-modulated hydrothermal iron"

description: Data used in article "Southern Ocean net primary production influenced by seismically-modulated hydrothermal iron"
DOI: 10.5281/zenodo.17123213
title: Reaction Atlas

description: Reaction Atlas
DOI: 10.15468/dl.b7g2r6
title: Occurrence Download

description: A dataset containing 74 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Spain",
 "TaxonKey is Limonium malacitanum"
 ]
}

 The dataset includes 74 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004089-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yss5jm
title: Occurrence Download

description: A dataset containing 74 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Spain",
 "TaxonKey is Limonium malacitanum"
 ]
}

 The dataset includes 74 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004091-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.efxccd
title: Occurrence Download

description: A dataset containing 628 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anura",
 "GadmGid is IDN.22_1",
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Material citation, Specimen, Occurrence evidence)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 628 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004092-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j5jx2t
title: Occurrence Download

description: A dataset containing 71227 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "Locality ~*Botanic Garden*"
 ]
}

 The dataset includes 71227 records from 470 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004069-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e114029v1-188090
title: Replication data for: When Labor's Lost: Health, Family Life, Incarceration, and Education in a Time of Declining Economic Opportunity for Low-Skilled Men

description: The economic progress of US men has stagnated in recent decades. The labor force participation rate of men ages 25-54 peaked in the mid-1960s and has declined since 
then (according to the Bureau of Labor Statistics), while men's real median earnings have been flat since the early 1970s. These population averages mask considerably 
larger declines in participation among less-educated and non-white men as well as substantial increases in wage inequality. In this paper, we seek to illuminate the broader 
context in which prime-age men are experiencing economic stagnation. We explore changes for prime-age men over time in education, mortality, morbidity, disability 
program receipt, family structure, and incarceration rates. We focus on prime-age men, namely those ages 25-54, and on the years 1980-2016 (or 2017 when possible), 
encompassing much of the period of reduced economic progress for low-skilled men.
DOI: 10.15468/dl.fx67mj
title: Occurrence Download

description: A dataset containing 677 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anura",
 "GadmGid is IDN.23_1",
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Material citation, Specimen, Occurrence evidence)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 677 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004093-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17123217
title: dentatherina_merceri_spades_01.fasta.gz
DOI: 10.5281/zenodo.17123218
title: dentatherina_merceri_spades_01.fasta.gz
DOI: 10.15468/dl.8ecjzg
title: Occurrence Download

description: A dataset containing 144 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Limonium malacitanum"
 ]
}

 The dataset includes 144 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004095-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2rb5kn
title: Occurrence Download

description: A dataset containing 74 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Spain",
 "OccurrenceStatus is Present",
 "TaxonKey is Limonium malacitanum"
 ]
}

 The dataset includes 74 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004097-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mvfrkb
title: Occurrence Download

description: A dataset containing 47974 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anura",
 "GadmGid is one of (PNG.18_1, PNG.5_1, PNG.11_1, PNG.7_1, PNG.21_1, PNG.9_1, PNG.10_1, PNG.3_1, PNG.19_1, PNG.6_1, PNG.14_1, PNG.8_1, PNG.22_1, PNG.17_1, PNG.2_1, PNG.15_1, PNG.13_1)",
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Material citation, Specimen, Occurrence evidence)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 47974 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004094-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e158022v1-188091
title: U.S. Census Bureau TIGER/Line Files, 1990, 2000-2002, 2004-2009

description: The U.S. Census Bureau TIGER/Line® files in this data collection were originally distributed by the Inter-university Consortium for Political and Social Research (ICPSR) through its TIGER/Line file web site, which was decommissioned in 2018 (archived version: https://web.archive.org/web/20090924181858/http://www.icpsr.umich.edu/TIGER/index.html). There, users could download various versions of the U.S. Census Bureau's TIGER (Topologically Integrated Geographic Encoding and Referencing) database. The TIGER/Line files do not include demographic data, but they do contain geographic information that can be linked to the Census Bureau’s demographic data. <br><br>Due to file number limitations in openICPSR, the original data collections have been bundled into single zip packages. A single TIGER_directory.txt file listing the original files and the original directory structure is included with the root directory. Documentation files are also included as standalone subdirectories in each collection so users do not need to download entire zip bundles to view documentation. <br><br>The TIGER/Line data are stored in compressed format in subdirectories by state name. There is one TIGER/Line file (in a compressed format) for each county or county equivalent. The file names consist of TGR + the 2-digit state FIPS (Federal Information Processing Standards) code + the 3-digit county FIPS code (i.e. TGR01031.ZIP for Coffee County, Alabama). Each state folder contains individual county files.<br>The individual county files include one file for each record type included for that county with the following name convention: tgr01031.rt1. The convention follows the order described above with each file having a suffix which includes 'rt' (record type) followed by its designation (in this case record type 1). Each county file also contains its own metadata record.<br>If present, documentation files for the TIGER/Line data are stored in a directory named '0docs' which is located in the 'Parent Directory'. This directory appears at the top of the index of state subdirectories for each edition of the TIGER/Line files. The documentation includes a complete list of FIPS state and county codes.
description: Smallest Geographic Unit: county or statistical equivalent entity
DOI: 10.15468/dl.svp9k7
title: Occurrence Download

description: A dataset containing 16603 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Pygoscelis antarcticus)"
 ]
}

 The dataset includes 16603 records from 110 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004090-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x3byee
title: Occurrence Download

description: A dataset containing 1534 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-30 81, 50 81, 50 12, -30 12, -30 81))",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Living Specimen, Occurrence evidence)",
 "TaxonKey is Acinetospora crinita"
 ]
}

 The dataset includes 1534 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004098-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jsmrgv
title: Occurrence Download

description: A dataset containing 1365 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((43.6799 53.49733,56.00869 53.49733,56.00869 58.02342,43.6799 58.02342,43.6799 53.49733))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lupinus polyphyllus"
 ]
}

 The dataset includes 1365 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004099-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5286/isis.e.rb2510076-2
title: The technology behind ancient mirrors: non-invasive microstructural characterization by ToF-ND of Bronze artefact from the Ancient Greek colony of Locri, Calabria, Italy

description: Locri Epizefiri, one of the most important colonies of western Greece, in the modern region of Calabria (southern Italy), is known for flourishing craftsmanship that developed between the 6th and 3rd centuries BC. One of the most famous Locrian bronze productions, and also one of the most refined in the Greek world as well, is represented by mirrors, dozens of which have been found in sanctuaries and tombs. Here we propose to analyse 5 samples from the National Archaeological Museum of Locri: a simple handle type, two lyre handle type, an Ionic handle type mirrors and another Ionic type handle only in order to obtain metallurgical information about the composite structure of these mirrors. We propose non-invasive quantitative phase analysis and semi-quantitative microstructural analysis by using ToF-ND.
DOI: 10.5286/isis.e.rb2510076
title: The technology behind ancient mirrors: non-invasive microstructural characterization by ToF-ND of Bronze artefact from the Ancient Greek colony of Locri, Calabria, Italy

description: Locri Epizefiri, one of the most important colonies of western Greece, in the modern region of Calabria (southern Italy), is known for flourishing craftsmanship that developed between the 6th and 3rd centuries BC. One of the most famous Locrian bronze productions, and also one of the most refined in the Greek world as well, is represented by mirrors, dozens of which have been found in sanctuaries and tombs. Here we propose to analyse 5 samples from the National Archaeological Museum of Locri: a simple handle type, two lyre handle type, an Ionic handle type mirrors and another Ionic type handle only in order to obtain metallurgical information about the composite structure of these mirrors. We propose non-invasive quantitative phase analysis and semi-quantitative microstructural analysis by using ToF-ND.
DOI: 10.15468/dl.tcuxaj
title: Occurrence Download

description: A dataset containing 130 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Cardinalis cardinalis)",
 "Country is one of (Åland Islands, Albania, Andorra, Austria, Belarus, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Czechia, Denmark, Estonia, Faroe Islands, Finland, France, Germany, Gibraltar, Greece, Guernsey, Holy See, Hungary, Iceland, Ireland, Isle of Man, Italy, Jersey, Latvia, Liechtenstein, Lithuania, Luxembourg, Malta, Moldova, Republic of, Monaco, Montenegro, Netherlands, North Macedonia, Norway, Poland, Portugal, Romania, Russian Federation, San Marino, Serbia, Slovakia, Slovenia, Spain, Svalbard and Jan Mayen, Sweden, Switzerland, Ukraine, United Kingdom of Great Britain and Northern Ireland)"
 ]
}

 The dataset includes 130 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004102-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wd444a
title: Occurrence Download

description: A dataset containing 924 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((43.32095 51.46801,54.90978 51.46801,54.90978 57.31422,43.32095 57.31422,43.32095 51.46801))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Hedysarum grandiflorum"
 ]
}

 The dataset includes 924 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004106-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17123154
title: Table 1 in Scoloplax baskini: a new spiny dwarf catfish from rio Aripuanã, Amazonas, Brazil (Loricarioidei: Scoloplacidae)

description: Table 1. Morphometric data of Scoloplax baskini. SD = standard deviation.
MeasurementsHolotypeParatypes (n=31)MeanRangeSDStandard length (mm) 14.413.110.716.11.7Percents of standard lengthPredorsal length36.136.928.941.12.6Head length20.122.216.324.61.8Body width29.927.821.730.92.0Body depth14.613.010.216.21.5Pelvic-anal distance25.725.819.931.72.2Percents of head lengthInterorbital distance41.437.232.346.23.4
description: Published as part of Rocha, Marcelo Salles, Oliveira, Renildo Ribeiro de & Rapp Py-Daniel, Lúcia H., 2008, Scoloplax baskini: a new spiny dwarf catfish from rio Aripuanã, Amazonas, Brazil (Loricarioidei: Scoloplacidae), pp. 326 in Neotropical Ichthyology 6 (3) on page 326, DOI: 10.1590/S1679-62252008000300005, http://zenodo.org/record/5419726
DOI: 10.5281/zenodo.17123155
title: Table 1 in Scoloplax baskini: a new spiny dwarf catfish from rio Aripuanã, Amazonas, Brazil (Loricarioidei: Scoloplacidae)

description: Table 1. Morphometric data of Scoloplax baskini. SD = standard deviation.
MeasurementsHolotypeParatypes (n=31)MeanRangeSDStandard length (mm) 14.413.110.716.11.7Percents of standard lengthPredorsal length36.136.928.941.12.6Head length20.122.216.324.61.8Body width29.927.821.730.92.0Body depth14.613.010.216.21.5Pelvic-anal distance25.725.819.931.72.2Percents of head lengthInterorbital distance41.437.232.346.23.4
description: Published as part of Rocha, Marcelo Salles, Oliveira, Renildo Ribeiro de & Rapp Py-Daniel, Lúcia H., 2008, Scoloplax baskini: a new spiny dwarf catfish from rio Aripuanã, Amazonas, Brazil (Loricarioidei: Scoloplacidae), pp. 326 in Neotropical Ichthyology 6 (3) on page 326, DOI: 10.1590/S1679-62252008000300005, http://zenodo.org/record/5419726
DOI: 10.25574/26908
title: Chandra X-ray Observatory ObsId 26908

description: Examining the Variability of High-Redshift Jets
DOI: 10.15468/dl.9xzqfh
title: Occurrence Download

description: A dataset containing 16608 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Pygoscelis antarcticus)"
 ]
}

 The dataset includes 16608 records from 110 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004103-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10431552
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Amalie Dietrich, http://www.wikidata.org/entity/Q76851. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q76851
DOI: 10.5281/zenodo.8055215
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Amalie Dietrich, http://www.wikidata.org/entity/Q76851. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q76851
DOI: 10.5281/zenodo.12797476
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Amalie Dietrich, http://www.wikidata.org/entity/Q76851. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q76851
DOI: 10.5281/zenodo.8055214
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Amalie Dietrich, http://www.wikidata.org/entity/Q76851. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q76851
DOI: 10.5281/zenodo.12797477
title: otus_semitorques_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.12797478
title: otus_semitorques_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.10780423
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Norman I. Platnick, http://www.wikidata.org/entity/Q1333409. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q1333409
DOI: 10.5281/zenodo.8055093
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Norman I. Platnick, http://www.wikidata.org/entity/Q1333409. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q1333409
DOI: 10.5281/zenodo.8317387
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Norman I. Platnick, http://www.wikidata.org/entity/Q1333409. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q1333409