84 datasets found
  1. DAISIE - Inventory of alien invasive species in Europe

    • gbif.org
    • data.europa.eu
    Updated Sep 30, 2025
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    David Roy; David Alderman; Pauline Anastasiu; Margarita Arianoutsou; Sylvie Augustin; Sven Bacher; Corina Başnou; Jean-Nicolas Beisel; Sandro Bertolino; Laura Bonesi; François Bretagnolle; Jean Louis Chapuis; Bruno Chauvel; François Chiron; Philippe Clergeau; Jonathan Cooper; Teresa Cunha; Pinelopi Delipetrou; Marie-Laure Desprez-Loustau; Mathieu Détaint; Simon Devin; Viktoras Didžiulis; Franz Essl; Bella S. Galil; Piero Genovesi; Francesca Gherardi; Stephan Gollasch; Martin Hejda; Philip E. Hulme; Melanie Josefsson; Salit Kark; Kaarina Kauhala; Marc Kenis; Stefan Klotz; Manuel Kobelt; Ingolf Kühn; Philip W. Lambdon; Tor-Björn Larsson; Carlos Lopez-Vaamonde; Olivier Lorvelec; Hélia Marchante; Dan Minchin; Wolfgang Nentwig; Anna Occhipinti-Ambrogi; Sergej Olenin; Irina Olenina; Irina Ovcharenko; Vadim E Panov; Michel Pascal; Jan Pergl; Irena Perglová; Joan Pino; Petr Pyšek; Wolfgang Rabitsch; Jean-Yves Rasplus; Biren Rathod; Alain Roques; Helen Roy; Daniel Sauvard; Riccardo Scalera; Tamara A. Shiganova; Susan Shirley; Assaf Shwartz; Wojciech Solarz; Montserrat Vilà; Marten Winter; Pierre Yésou; Anastasija Zaiko; Tim Adriaens; Peter Desmet; Lien Reyserhove; David Roy; David Alderman; Pauline Anastasiu; Margarita Arianoutsou; Sylvie Augustin; Sven Bacher; Corina Başnou; Jean-Nicolas Beisel; Sandro Bertolino; Laura Bonesi; François Bretagnolle; Jean Louis Chapuis; Bruno Chauvel; François Chiron; Philippe Clergeau; Jonathan Cooper; Teresa Cunha; Pinelopi Delipetrou; Marie-Laure Desprez-Loustau; Mathieu Détaint; Simon Devin; Viktoras Didžiulis; Franz Essl; Bella S. Galil; Piero Genovesi; Francesca Gherardi; Stephan Gollasch; Martin Hejda; Philip E. Hulme; Melanie Josefsson; Salit Kark; Kaarina Kauhala; Marc Kenis; Stefan Klotz; Manuel Kobelt; Ingolf Kühn; Philip W. Lambdon; Tor-Björn Larsson; Carlos Lopez-Vaamonde; Olivier Lorvelec; Hélia Marchante; Dan Minchin; Wolfgang Nentwig; Anna Occhipinti-Ambrogi; Sergej Olenin; Irina Olenina; Irina Ovcharenko; Vadim E Panov; Michel Pascal; Jan Pergl; Irena Perglová; Joan Pino; Petr Pyšek; Wolfgang Rabitsch; Jean-Yves Rasplus; Biren Rathod; Alain Roques; Helen Roy; Daniel Sauvard; Riccardo Scalera; Tamara A. Shiganova; Susan Shirley; Assaf Shwartz; Wojciech Solarz; Montserrat Vilà; Marten Winter; Pierre Yésou; Anastasija Zaiko; Tim Adriaens; Peter Desmet; Lien Reyserhove (2025). DAISIE - Inventory of alien invasive species in Europe [Dataset]. http://doi.org/10.15468/ybwd3x
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    Dataset updated
    Sep 30, 2025
    Dataset provided by
    Global Biodiversity Information Facilityhttps://www.gbif.org/
    Research Institute for Nature and Forest (INBO)
    Authors
    David Roy; David Alderman; Pauline Anastasiu; Margarita Arianoutsou; Sylvie Augustin; Sven Bacher; Corina Başnou; Jean-Nicolas Beisel; Sandro Bertolino; Laura Bonesi; François Bretagnolle; Jean Louis Chapuis; Bruno Chauvel; François Chiron; Philippe Clergeau; Jonathan Cooper; Teresa Cunha; Pinelopi Delipetrou; Marie-Laure Desprez-Loustau; Mathieu Détaint; Simon Devin; Viktoras Didžiulis; Franz Essl; Bella S. Galil; Piero Genovesi; Francesca Gherardi; Stephan Gollasch; Martin Hejda; Philip E. Hulme; Melanie Josefsson; Salit Kark; Kaarina Kauhala; Marc Kenis; Stefan Klotz; Manuel Kobelt; Ingolf Kühn; Philip W. Lambdon; Tor-Björn Larsson; Carlos Lopez-Vaamonde; Olivier Lorvelec; Hélia Marchante; Dan Minchin; Wolfgang Nentwig; Anna Occhipinti-Ambrogi; Sergej Olenin; Irina Olenina; Irina Ovcharenko; Vadim E Panov; Michel Pascal; Jan Pergl; Irena Perglová; Joan Pino; Petr Pyšek; Wolfgang Rabitsch; Jean-Yves Rasplus; Biren Rathod; Alain Roques; Helen Roy; Daniel Sauvard; Riccardo Scalera; Tamara A. Shiganova; Susan Shirley; Assaf Shwartz; Wojciech Solarz; Montserrat Vilà; Marten Winter; Pierre Yésou; Anastasija Zaiko; Tim Adriaens; Peter Desmet; Lien Reyserhove; David Roy; David Alderman; Pauline Anastasiu; Margarita Arianoutsou; Sylvie Augustin; Sven Bacher; Corina Başnou; Jean-Nicolas Beisel; Sandro Bertolino; Laura Bonesi; François Bretagnolle; Jean Louis Chapuis; Bruno Chauvel; François Chiron; Philippe Clergeau; Jonathan Cooper; Teresa Cunha; Pinelopi Delipetrou; Marie-Laure Desprez-Loustau; Mathieu Détaint; Simon Devin; Viktoras Didžiulis; Franz Essl; Bella S. Galil; Piero Genovesi; Francesca Gherardi; Stephan Gollasch; Martin Hejda; Philip E. Hulme; Melanie Josefsson; Salit Kark; Kaarina Kauhala; Marc Kenis; Stefan Klotz; Manuel Kobelt; Ingolf Kühn; Philip W. Lambdon; Tor-Björn Larsson; Carlos Lopez-Vaamonde; Olivier Lorvelec; Hélia Marchante; Dan Minchin; Wolfgang Nentwig; Anna Occhipinti-Ambrogi; Sergej Olenin; Irina Olenina; Irina Ovcharenko; Vadim E Panov; Michel Pascal; Jan Pergl; Irena Perglová; Joan Pino; Petr Pyšek; Wolfgang Rabitsch; Jean-Yves Rasplus; Biren Rathod; Alain Roques; Helen Roy; Daniel Sauvard; Riccardo Scalera; Tamara A. Shiganova; Susan Shirley; Assaf Shwartz; Wojciech Solarz; Montserrat Vilà; Marten Winter; Pierre Yésou; Anastasija Zaiko; Tim Adriaens; Peter Desmet; Lien Reyserhove
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 23, 1499 - Dec 31, 2005
    Area covered
    Description

    The DAISIE - inventory of alien invasive species in Europe is a species checklist dataset published by the Research Institute for Nature and Forest (INBO) and the Centre for Ecology and Hydrology (CEH). It contains information on 12,104 taxa (mostly species and mostly introduced) occurring in the wild in Europe since 1500. It covers a broad taxonomic spectrum of terrestrial and aquatic free living and parasitic organisms. The collation of the alien species list is the result of the efforts of the DAISIE (http://www.europe-aliens.org/) project partners and more than 300 collaborators from Europe and neighbouring countries, involved in different fields of expertise and organisations. Here the DAISIE checklist is published as a standardized Darwin Core Archive and includes for each species: the scientific name, higher classification, and stable taxon identifier (in the taxon core), the vernacular names (in the vernacular names extension), the presence in a specific region, the year of the first introduction (first collection) and/or last assessment/observation in that region, as well as extra information (in the distribution extension), and the habitat, native range, and ecofunctional group (in the description extension). The DAISIE dataset is no longer maintained, but can be used as a historical archive for researching and managing alien plants or compiling regional and national registries of alien species. Issues with the dataset can be reported at https://github.com/trias-project/daisie-checklist

    We have released this dataset under a Creative Commons Attribution license (CC-BY 4.0). We would appreciate it if you follow the GBIF citation guidelines (https://www.gbif.org/citation-guidelines) when using the data. If you have any questions regarding this dataset, don’t hesitate to contact us via the contact information provided in the metadata or via https://twitter.com/trias_project.

    The publication of the checklist to GBIF was supported by the European Cooperation in Science and Technology (COST) action Alien CSI “CA17122 - Increasing understanding of alien species through citizen science” as a Short Term Scientific Mission “Publishing alien species checklist data for Europe through repeatable, open workflows”, with technical support provided by the Research Institute for Nature and Forest (INBO).

  2. Uranium isotopes (234U/235U/238U) and uranium concentration data on a suite...

    • metadata.bgs.ac.uk
    • ckan.publishing.service.gov.uk
    • +2more
    html
    Updated Jan 1, 2011
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    University of Bristol (2011). Uranium isotopes (234U/235U/238U) and uranium concentration data on a suite of terrestrial and extra-terrestrial samples. (NERC grant NE/H023933/1) [Dataset]. https://metadata.bgs.ac.uk/geonetwork/srv/api/records/5041367c-ee1a-3f20-e054-002128a47908
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    htmlAvailable download formats
    Dataset updated
    Jan 1, 2011
    Dataset provided by
    British Geological Surveyhttps://www.bgs.ac.uk/
    Authors
    University of Bristol
    License

    http://inspire.ec.europa.eu/metadata-codelist/LimitationsOnPublicAccess/noLimitationshttp://inspire.ec.europa.eu/metadata-codelist/LimitationsOnPublicAccess/noLimitations

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Time period covered
    Jan 1, 2011 - Dec 31, 2013
    Area covered
    Earth
    Description

    This data compilation contains uranium isotopes (234U/235U/238U) and concentration data on a suite of terrestrial and extra-terrestrial samples for understanding the uranium isotope cycling on Earth. Sample list includes meteorites (ordinary chondrites, eucrites), mantle-derived basalts (Ocean Island Basalts, Mid-Ocean Ridge Basalts), arc volcanics, altered oceanic crust (ODP 801), volcanici-clastic sediments, seawater, fossil corals and organic-rich sediments (From the Black Sea and Cariaco Basin).

  3. Characterization of Epigenetic Regulation in an Extraterrestrial...

    • s.cnmilf.com
    • catalog.data.gov
    Updated Apr 24, 2025
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    National Aeronautics and Space Administration (2025). Characterization of Epigenetic Regulation in an Extraterrestrial Environment: The Arabidopsis Spaceflight Methylome [RNA-seq] [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/characterization-of-epigenetic-regulation-in-an-extraterrestrial-environment-the-arabidops-b1a97
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    Dataset updated
    Apr 24, 2025
    Dataset provided by
    NASAhttp://nasa.gov/
    Description

    When germinated and grown on-board the ISS (International Space Station) plant do not exhibit abnormal structures but they do have altered growth habits and this project aims to investigate the molecular mechanisms that provide the foundation for the altered growth habits observed in orbit. APEX03-2 (Advanced Plant Experiment 03-2) also known as TAGES-ISA (Transgenic Arabidopsis Gene Expression System-Intracellular Signaling Architecture) specifically addresses the growth and molecular changes that occur in Arabidopsis thaliana plants during spaceflight by using molecular and genetic tools and by asking fundamental questions regarding root structure growth and cell wall remodeling may be answered. This investigation advances the fundamental understanding of the molecular biological responses to extraterrestrial environments. This understanding helps to further define the impacts of spaceflight on biological systems to better enable NASA xc3 xaf xc2 xbf xc2 xbds future space exploration goals.

  4. b

    List of Invasive Alien Species of Union concern - Dataset - Belgian...

    • data.biodiversity.be
    Updated Aug 20, 2024
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    (2024). List of Invasive Alien Species of Union concern - Dataset - Belgian biodiversity data portal [Dataset]. https://data.biodiversity.be/dataset/79d65658-526c-4c78-9d24-1870d67f8439
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    Dataset updated
    Aug 20, 2024
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Belgium
    Description

    The List of Invasive Alien Species of Union concern (also called the Union list) is a species checklist dataset published by the Research Institute of Nature and Forest (INBO). This list contains regulated invasive alien species (IAS) that require action at European Union Level, and is at the core of Regulation (EU) 1143/2014 on the prevention and management of the introduction and spread of IAS (the IAS Regulation). The list has an evidence base in risk assessments, showing potentially significant adverse impacts on biodiversity or related ecosystem services. The species included on the Union list are subject to restrictions and measures set out in the Regulation. These include restrictions on keeping, importing, selling, breeding and growing. Member States are required to take action on pathways of unintentional introduction, to take measures for the early detection and rapid eradication of these species, and to manage species that are already widely spread in their territory. The list is dynamic and is subject to regular updates when new species are added. Here, it is published as a standardized Darwin Core Archive and includes for each species: the scientific name, higher classification and stable taxon identifier (in the taxon core), the English, Dutch, French and German common names in line with www.iasregulation.be, the date of entry into force (the date the provisions of the Regulation enter into force for the species, as mentioned in the Commission Implementing Regulation (EU) 2016/141, 2017/1263, 2019/1262, 2022/1203). Issues with the dataset can be reported at https://github.com/riparias/union-list/issues. For more information on the EU IAS Regulation and the list of IAS of Union concern, please see the European Commission webpage on IAS (https://environment.ec.europa.eu/topics/nature-and-biodiversity/invasive-alien-species_en), the IUCN website on the IAS Regulation (https://www.iucn.org/our-work/topic/invasive-alien-species) and the European Alien Species Information Network. We have released this dataset to the public domain under a Creative Commons Zero waiver. We would appreciate it if you follow the INBO norms for data use (https://www.inbo.be/en/norms-data-use) when using the data. If you have any questions regarding this dataset, don't hesitate to contact us via the contact information provided in the metadata or via opendata@inbo.be. This dataset was published as open data for the LIFE RIPARIAS project (Reaching Integrated and Prompt Action in Response to Invasive Alien Species https://www.riparias.be/), with technical support provided by the Research Institute for Nature and Forest (INBO).

  5. w

    Terrestrial alien species in Europe

    • data.wu.ac.at
    • data.europa.eu
    n/a
    Updated Nov 29, 2016
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    JRC DataCatalogue (2016). Terrestrial alien species in Europe [Dataset]. https://data.wu.ac.at/schema/drdsi_jrc_ec_europa_eu/M2QyNWVhZDctNWFlNy00NTllLTk0ODQtZmVmMDZiMTViODE4
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    n/aAvailable download formats
    Dataset updated
    Nov 29, 2016
    Dataset provided by
    JRC DataCatalogue
    Description

    Distribution by countries (EEZ): All the terrestrial alien species in Europe. Number of species 13439. Done by EASIN Official on 18-02-2014.

  6. o

    Marine impactful cryptogenic and alien species in the Greek Seas: A...

    • obis.org
    • erddap.eurobis.org
    • +3more
    zip
    Updated Sep 26, 2025
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    (2025). Marine impactful cryptogenic and alien species in the Greek Seas: A georeferenced dataset (1893-2020) [Dataset]. http://doi.org/10.25607/t2smha
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    zipAvailable download formats
    Dataset updated
    Sep 26, 2025
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Time period covered
    1905 - 2020
    Description

    The GreekMarineICAS geodataset was created as part of the project ALAS: Aliens in the Aegean – A Sea Under Siege project (https://alas.edu.gr/), with the aim to assess the spatial extent and potential impacts of alien species in the Aegean Sea, and to improve our understanding of the mechanisms driving the impacts of invasive alien species on native marine ecosystems. Methodology of data compilation: Initially, an ICAS catalogue was created, including species classified as of high impact in the European Alien Species Information Network (EASIN), or as invasive or of high impact in recent review papers. A thorough search was conducted to look for information on the presence of these species in the Greek Seas. Georeferenced data, along with information on the reported date / year of sighting, depth range, abundance and habitat type were compiled using all available types of data sources, including published scientific literature, grey literature (e.g., theses, technical reports, and newspaper reports), offline databases (including records from past projects of universities, research institutes, the ELNAIS database, and citizen science initiatives), online scientific or citizen science databases (Algaebase, GBIF, OBIS, iNaturalist - only research-grade data), social networks (e.g., Instagram and Facebook), as well as through field work involving scientific diving and interviews with marine scientists, fishers and divers that were carried out during the ALAS project. In situ underwater sampling during the ALAS project was carried out in 2020 at 156 sites, and all sampling was conducted using non-destructive visual sampling techniques via SCUBA or free diving, down to a maximum of 20 m depth. Moreover, an unstructured interview approach was applied during the respective interviews with marine scientists, fishers and divers, while a photographic guide of the targeted ICAS was produced and provided during the interviews to enhance the species verification process. Information from social networks was specifically retrieved from the websites of diving centers, which were thoroughly checked for images of ICAS, and once relevant images were found the corresponding information was further validated through direct communication. All data were organized within an Excel spreadsheet and all duplicate records were deleted.

  7. s

    Data supporting the paper "The acoustic bubble: Ocean, cetacean and...

    • eprints.soton.ac.uk
    Updated Nov 5, 2023
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    Leighton, Timothy; Dolder, Craig (2023). Data supporting the paper "The acoustic bubble: Ocean, cetacean and extraterrestrial acoustics, and cold water cleaning" [Dataset]. http://doi.org/10.5258/SOTON/400818
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    Dataset updated
    Nov 5, 2023
    Dataset provided by
    University of Southampton
    Authors
    Leighton, Timothy; Dolder, Craig
    Description

    Data supporting the paper Leighton T.G. (2016) The acoustic bubble: Ocean, cetacean and extraterrestrial acoustics, and cold water cleaning. Journal of Physics: Conference Series The data consist of four video files in mp4 format showing cleaning mascara off a file, hand cleaning, cleaning Vaseline (petroleum jelly) on top of lipstick off a piece of tile, and a computer animation of the StarStream device attaching on a standard water bottle.

  8. d

    Data from: Formation of extraterrestrial peptides and their derivatives

    • search.dataone.org
    Updated Mar 6, 2024
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    Krasnokutski, Serge (2024). Formation of extraterrestrial peptides and their derivatives [Dataset]. http://doi.org/10.7910/DVN/LED2D6
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    Dataset updated
    Mar 6, 2024
    Dataset provided by
    Harvard Dataverse
    Authors
    Krasnokutski, Serge
    Description

    Data that was used for the preparation of the article "Formation of extraterrestrial peptides and their derivatives"

  9. d

    (Table 1) Average extraterrestrial 3He concentrations, ages and mass...

    • search.dataone.org
    • doi.pangaea.de
    Updated Jan 19, 2018
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    Patterson, D B; Farley, Kenneth A (2018). (Table 1) Average extraterrestrial 3He concentrations, ages and mass accumulation rates for sediment samples from ODP Hole 130-806B [Dataset]. http://doi.org/10.1594/PANGAEA.708173
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    Dataset updated
    Jan 19, 2018
    Dataset provided by
    PANGAEA Data Publisher for Earth and Environmental Science
    Authors
    Patterson, D B; Farley, Kenneth A
    Time period covered
    Feb 18, 1990 - Feb 23, 1990
    Area covered
    Description

    No description is available. Visit https://dataone.org/datasets/2c0389eea7d4afe225ec81e502edc89d for complete metadata about this dataset.

  10. Marine Invasive Alien Species

    • samoa-data.sprep.org
    • americansamoa-data.sprep.org
    • +13more
    pdf
    Updated Feb 20, 2025
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    Secretariat of the Pacific Regional Environment Programme (2025). Marine Invasive Alien Species [Dataset]. https://samoa-data.sprep.org/dataset/marine-invasive-alien-species
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    pdf(1073315)Available download formats
    Dataset updated
    Feb 20, 2025
    Dataset provided by
    Pacific Regional Environment Programmehttps://www.sprep.org/
    License

    Public Domain Mark 1.0https://creativecommons.org/publicdomain/mark/1.0/
    License information was derived automatically

    Area covered
    Worldwide, POLYGON ((-211.02217197418 -2.72198629149, -211.02217197418 41.905894284743, -128.73049736023 41.905894284743, -128.73049736023 -2.72198629149))
    Description

    Marine invasive species are currently recognized as one of the major direct causes of biodiversity loss and changes in ecosystem provisioning and supporting services. This dataset documents the recent progress in addressing their growing threat to ocean biodiversity and ecosystems.

  11. Global Invasive and Alien Traits and Records (GIATAR) dataset

    • zenodo.org
    Updated Feb 5, 2025
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    Ariel Saffer; Ariel Saffer; Thom Worm; Thom Worm (2025). Global Invasive and Alien Traits and Records (GIATAR) dataset [Dataset]. http://doi.org/10.5281/zenodo.13139672
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    Dataset updated
    Feb 5, 2025
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Ariel Saffer; Ariel Saffer; Thom Worm; Thom Worm
    License

    Attribution-NonCommercial-NoDerivs 4.0 (CC BY-NC-ND 4.0)https://creativecommons.org/licenses/by-nc-nd/4.0/
    License information was derived automatically

    Time period covered
    Jul 30, 2024
    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.
    For updates to code, please refer to our Github repository: https://github.com/ncsu-landscape-dynamics/GIATAR-dataset
  12. Data from: Global database of alien macrofungi

    • gbif.org
    • metadatacatalogue.lifewatch.eu
    • +1more
    Updated Feb 18, 2020
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    Miguel Monteiro; Luís Reino; Anna Schertler; Franz Essl; Maria Teresa Ferreira; Rui Figueira; César Capinha; Miguel Monteiro; Luís Reino; Anna Schertler; Franz Essl; Maria Teresa Ferreira; Rui Figueira; César Capinha (2020). Global database of alien macrofungi [Dataset]. http://doi.org/10.15468/2qky1q
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    Dataset updated
    Feb 18, 2020
    Dataset provided by
    Global Biodiversity Information Facilityhttps://www.gbif.org/
    CIBIO (Research Center in Biodiversity and Genetic Resources) Portugal
    Authors
    Miguel Monteiro; Luís Reino; Anna Schertler; Franz Essl; Maria Teresa Ferreira; Rui Figueira; César Capinha; Miguel Monteiro; Luís Reino; Anna Schertler; Franz Essl; Maria Teresa Ferreira; Rui Figueira; César Capinha
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1753 - Dec 31, 2018
    Area covered
    Description

    This dataset contains comprehensive information about the global alien spread and distribution of macrofungi species during the last centuries (1753-2018)

  13. U.S. number of alien removals 2006-2022, by criminal status

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). U.S. number of alien removals 2006-2022, by criminal status [Dataset]. https://www.statista.com/statistics/667498/us-number-of-alien-removals-by-criminal-status/
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2022, ****** criminal aliens were removed from the United States by the Department of Homeland Security. A further ****** non-criminal aliens were removed by the Department of Homeland Security in that same year.

  14. Aliens in Antarctica - project to study exotic species and visitors in the...

    • researchdata.edu.au
    • data.aad.gov.au
    • +2more
    Updated Nov 8, 2007
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    TRACEY, PHIL; MCIVOR, EWAN; LEBOUVIER, MARC; IMURA, SATOSHI; HUISKES, AD; HUGHES, KEVIN; GREMMEN, NIEK; CONVEY, PETE; CHOWN, STEVEN; BERGSTROM, DANA M.; Bergstrom, D.M., Chown, S., Convey, P., Gremmen, N., Hughes, K. Huiskes, A., Imura, S., Lebouvier, M., McIvor, E. and Tracey, P.; CONNELL, DAVE J. (2007). Aliens in Antarctica - project to study exotic species and visitors in the Antarctic [Dataset]. https://researchdata.edu.au/aliens-antarctica-project-visitors-antarctic/700041
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    Dataset updated
    Nov 8, 2007
    Dataset provided by
    Australian Antarctic Divisionhttps://www.antarctica.gov.au/
    Australian Antarctic Data Centre
    Authors
    TRACEY, PHIL; MCIVOR, EWAN; LEBOUVIER, MARC; IMURA, SATOSHI; HUISKES, AD; HUGHES, KEVIN; GREMMEN, NIEK; CONVEY, PETE; CHOWN, STEVEN; BERGSTROM, DANA M.; Bergstrom, D.M., Chown, S., Convey, P., Gremmen, N., Hughes, K. Huiskes, A., Imura, S., Lebouvier, M., McIvor, E. and Tracey, P.; CONNELL, DAVE J.
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Sep 30, 2007 - Mar 31, 2011
    Area covered
    Description

    Metadata record for data expected from ASAC Project 2904

    See the link below for public details on this project.

    International Polar Year (IPY) Aliens in Antarctica will assess the threat of humans carrying non-native seeds and spores into Antarctica. We will identify routes of transport and attempt to calculate how many seeds and spores are transported each year. Our data will be used to develop techniques to mitigate this threat and hence protect Antarctica.

    The impact of non-native (alien) species on ecosystems is one of the big issues of the 21st Century. Antarctica is not immune to this problem with some alien species having established on the Antarctic continent and on most sub-Antarctic islands. The impacts of alien species can include substantial loss of biodiversity and damage to ecosystem processes. Such impacts will be exacerbated by the rapid climate change, now being experienced in parts of Antarctica.

    Surrounded by the vast Southern Ocean, Antarctica's protective isolation is being chipped away by the movement of people and cargo to the region by national programs and the now booming tourist industry. Over 40,000 people travel to the Antarctic each year. This international project will assess the pathways of propagule (seeds, eggs, spores etc) transfer, the extent to which people from many nations, unintentionally carry propagules of alien species into the Antarctic region and the size of the threat. It will lead to the creation of appropriate mitigation methods by the Antarctic Treaty to protect the fragile Antarctic ecosystem. Furthermore, the project will provide valuable insight into the movement of alien propagules worldwide. It has been estimated that by 2010, the number of tourists crossing international boarders globally each year, will be around 1 billion people.

    The travel histories of some 15,000 Antarctic tourists and researchers will be complied, assisted by the cooperation of four tourist operators, 15 supply vessels of national Antarctic programmes, and six air operators. One thousand items of cargo from 7 National Antarctic programmes will be inspected for propagules of alien species. The study has the full support from the Council of Managers of National Antarctic Programs, the International Association of Antarctic Tour Operators, and researchers from seven nations.

    Taken from the 2008-2009 Progress Report:
    Progress against objectives:
    Considerable progress has been made on all objectives. All samples of propagules (greater than 1000 samples from over 50 voyages and examination of cargo/ food/ building material from 5 nations) have been sorted and propagules extracted. The majority of these propagules have been photographed and where possible identified. Analysis of the data is currently underway.


    Taken from the 2009-2010 Progress Report:
    Progress against objectives:
    The International Polar Year project is examining the type and amount of 'propagules' (seed, spores and eggs) that are unintentionally imported into the region on clothes, shoes or hand luggage, as well as how many propagules are likely to be deposited and whether they will germinate and grow. Cargo, fresh food and travellers' gear destined for Antarctica were inspected during the first season of IPY and are now currently being analysed. Considerable progress on the quantifiaction of the threat of alien species to Antarctic ecosystems has been made. Results of our analysies will be presented at ATCM 33.

  15. b

    Checklist of alien herpetofauna of Belgium - Dataset - Belgian biodiversity...

    • data.biodiversity.be
    Updated Aug 20, 2024
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    (2024). Checklist of alien herpetofauna of Belgium - Dataset - Belgian biodiversity data portal [Dataset]. https://data.biodiversity.be/dataset/a12e2bf8-13ce-4d0b-b2d4-b1cd20450a63
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    Dataset updated
    Aug 20, 2024
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Belgium
    Description

    The checklist of alien herpetofauna of Belgium is a species checklist dataset published by the Research Institute for Nature and Forest (INBO). It contains information on alien amphibian and reptile species recorded in the wild in Belgium since 1968. Both established species and occasional records are included, but with information on the degree of establishment of species following the unified invasion framework of Blackburn et al. (2011). The checklist is published here as a standardized Darwin Core Archive and includes for each (sub)species: the scientific name and classification (in the taxon core), the presence in Flanders, Wallonia and the Brussels-Capital Region, year of first and last observation in Belgium (given as a year range in the event date in the distribution extension), coarse habitat information (in the species profile extension), and the degree of establishment, pathway(s) of introduction and native range(s) (in the description extension). Issues with the dataset can be reported at https://github.com/trias-project/alien-herpetofauna-belgium. We have released this dataset to the public domain under a Creative Commons Zero waiver. We would appreciate it if you follow the GBIF citation guidelines (https://www.gbif.org/citation-guidelines) when using the data. If you have any questions regarding this dataset, don’t hesitate to contact us via the contact information provided in the metadata or via https://twitter.com/trias_project. This dataset was published as open data for the TrIAS project (Tracking Invasive Alien Species http://trias-project.be, Vanderhoeven et al. 2017), with technical support provided by the Research Institute for Nature and Forest (INBO). It is selected as one of the authoritative sources for the compilation of a unified and reproducible checklist of alien species in Belgium.

  16. d

    Osmium concentration and isotope composition at ultra-low levels in polar...

    • search.dataone.org
    • arcticdata.io
    Updated Jun 18, 2018
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    Mukul Sharma; Ji-Hye Seo; Erich Osterberg; Brian Jackson (2018). Osmium concentration and isotope composition at ultra-low levels in polar ice and snow [Dataset]. http://doi.org/10.18739/A2WP9T61N
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    Dataset updated
    Jun 18, 2018
    Dataset provided by
    Arctic Data Center
    Authors
    Mukul Sharma; Ji-Hye Seo; Erich Osterberg; Brian Jackson
    Time period covered
    Jan 1, 1700 - Jan 1, 2017
    Area covered
    Description

    The abundances of Platinum Group Elements (PGEs: Ruthenium, Rhodium, Palladium, Osmium, Iridium, and Platinum) are high in meteorites and extremely low in terrestrial rocks and water and accumulations of mainly platinum and iridium in ancient polar archives have been argued to trace terrestrial (continental/volcanic dust) and extra-terrestrial sources. The PGE concentration data, however, lack specificity. For example, the extent to which terrestrial dust compared to cosmic dust has contributed to the PGE inventory of polar ice cannot be readily evaluated from the PGE concentration data alone. Since the osmium isotopic compositions (R(187Os/188Os) ratio) of terrestrial (= 1.40 ± 0.30) and extraterrestrial/volcanic sources (= 0.13) are distinctly different from each other, osmium isotopic composition has the potential to elucidate relative contributions from these sources in ancient polar ice. However, the determination of osmium isotopes in polar ice core archives is challenging due to extremely low concentrations (∼10E-15 g g−1), and due to the availability of small sample sizes (tens of grams). The main objective of this study is to develop a highly sensitive procedure that allows accurate and precise determination of osmium concentration and isotope composition using ~50 g of melted Greenland ice or snow. By substantially improving previously established clean lab chemistry and high sensitivity mass spectrometry we analyzed snow collected from Summit, Greenland during 2009, 2014, and 2017. We find that the average osmium concentration of the snow is 0.459 ± 0.018 (95% C.I.) fg g−1 corresponding to an osmium flux of 0.0579 ± 0.0023 (95% C.I.) fmol cm−2 yr−1. The average R(187Os/188Os) ratio of the Summit snow is 0.264 ± 0.026 (95% C.I.). Assuming that the volcanic source is negligible, the average ratio indicates that about 0.0518 ± 0.0040 (95% C.I.) fmol cm−2 yr−1 of osmium is of cosmic derivation, corresponding to an accretion rate of extra-terrestrial osmium to the Earth of 264 ± 21 mol yr−1. This assessment is similar to the present-day accretion rate of extra-terrestrial osmium to the Earth determined by previous studies. Because of its sensitivity our procedure can be extended to study changes in the accretion of extra-terrestrial osmium over the last several hundred thousand years using samples of ice core. The data contains osmium concentration and isotope composition of (1) reagents and procedural blanks of two Osmium purification methods (Table 1), (2) Antarctic sea snow, sea water, and NEEM firn for method comparison (Table 2), and finally (3) modern snow from Summit, Greenland for sample application (Table 3).

  17. Hephaestus DEM Analysis and Crater Stats

    • figshare.com
    bin
    Updated Jan 18, 2022
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    Nicholas Warner (2022). Hephaestus DEM Analysis and Crater Stats [Dataset]. http://doi.org/10.6084/m9.figshare.18551408.v1
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    binAvailable download formats
    Dataset updated
    Jan 18, 2022
    Dataset provided by
    figshare
    Authors
    Nicholas Warner
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    This is a folder that contains all ArcGIS files and data pertaining to the Hephaestus Fossae analysis in Warner et al. (2022), JGR, Stratigraphy of the InSight landing site on Mars.

  18. r

    Mars Thermal Infrared Image V18165003

    • researchdata.edu.au
    Updated Dec 18, 2013
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    Dr. Michael Lake (2013). Mars Thermal Infrared Image V18165003 [Dataset]. https://researchdata.edu.au/mars-thermal-infrared-image-v18165003/316811
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    Dataset updated
    Dec 18, 2013
    Dataset provided by
    University of Technology Sydney
    Authors
    Dr. Michael Lake
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Description

    Processed infrared image ID V18165003 from Thermal Emission Imaging System (THEMIS) on board the Mars Odyssey spacecraft. Mars coordinates Center Latitude -53.06944 Center Longitude 240.78127

  19. Data from: LBA Regional Land Cover from AVHRR, 8-km, 1984 (DeFries et al.)

    • data.nasa.gov
    • s.cnmilf.com
    • +4more
    Updated Apr 1, 2025
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    nasa.gov (2025). LBA Regional Land Cover from AVHRR, 8-km, 1984 (DeFries et al.) [Dataset]. https://data.nasa.gov/dataset/lba-regional-land-cover-from-avhrr-8-km-1984-defries-et-al-9c935
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    Dataset updated
    Apr 1, 2025
    Dataset provided by
    NASAhttp://nasa.gov/
    Description

    This data set is a subset of an 8-km global land cover product (DeFries et al. 1998). This subset was created for the study area of the Large Scale Biosphere-Atmosphere Experiment in Amazonia (LBA) in South America (i.e., latitude 10° N to 25° S, longitude 30° to 85° W). The data are in ASCII GRID file format.To develop improved methodologies for global land cover classifications as well as to provide global land cover products for immediate use in global change research, researchers at the Laboratory for Global Remote Sensing Studies at the University of Maryland employed the NASA/NOAA Pathfinder AVHRR Land (PAL) data set with a spatial resolution of 8 km. The PAL data set has a length of record of 14 years (1981-1994), providing the ability to test the stability of classification algorithms. Furthermore, the data set includes red, infrared, and thermal bands in addition to the Normalized Difference Vegetation Index (NDVI). Inclusion of these additional bands improves discrimination between cover types. The project's aim was to develop and validate global land cover data sets and to develop advanced methodologies for more realistically describing the vegetative land surface based on satellite data.The global land cover product (Defries et al. 1998) was derived by testing several metrics that describe the temporal dynamics of vegetation over an annual cycle. These metrics were applied to 1984 PAL data at 8-km resolution to derive a global land cover classification product using a decision tree classifier. The final product contains 13 land cover classes. The original 8-km global land cover product is available for download from the University of Maryland's Global Land Cover Facility (GLCF) Web site (http://glcf.umiacs.umd.edu/data/landcover/index.shtml). Additional information and references on this data set can be found at the GLCF Web site, as well as at the LGRSS Web site (http://www.geog.umd.edu/LGRSS/intro.html). More information can be found at ftp://daac.ornl.gov/data/lba/land_use_land_cover_change/comp/land_cover_data_8km/glcf8km_readme.pdf.LBA was a cooperative international research initiative led by Brazil. NASA was a lead sponsor for several experiments. LBA was designed to create the new knowledge needed to understand the climatological, ecological, biogeochemical, and hydrological functioning of Amazonia; the impact of land use change on these functions; and the interactions between Amazonia and the Earth system. More information about LBA can be found at http://www.daac.ornl.gov/LBA/misc_amazon.html.

  20. f

    List of membrane proteins significantly over represented in microgravity...

    • plos.figshare.com
    xls
    Updated Jun 1, 2023
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    Christian Mazars; Christian Brière; Sabine Grat; Carole Pichereaux; Michel Rossignol; Veronica Pereda-Loth; Brigitte Eche; Elodie Boucheron-Dubuisson; Isabel Le Disquet; Francisco Javier Medina; Annick Graziana; Eugénie Carnero-Diaz (2023). List of membrane proteins significantly over represented in microgravity conditions on board the ISS. [Dataset]. http://doi.org/10.1371/journal.pone.0091814.t002
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    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Christian Mazars; Christian Brière; Sabine Grat; Carole Pichereaux; Michel Rossignol; Veronica Pereda-Loth; Brigitte Eche; Elodie Boucheron-Dubuisson; Isabel Le Disquet; Francisco Javier Medina; Annick Graziana; Eugénie Carnero-Diaz
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    List of membrane proteins significantly over represented in microgravity conditions on board the ISS.

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David Roy; David Alderman; Pauline Anastasiu; Margarita Arianoutsou; Sylvie Augustin; Sven Bacher; Corina Başnou; Jean-Nicolas Beisel; Sandro Bertolino; Laura Bonesi; François Bretagnolle; Jean Louis Chapuis; Bruno Chauvel; François Chiron; Philippe Clergeau; Jonathan Cooper; Teresa Cunha; Pinelopi Delipetrou; Marie-Laure Desprez-Loustau; Mathieu Détaint; Simon Devin; Viktoras Didžiulis; Franz Essl; Bella S. Galil; Piero Genovesi; Francesca Gherardi; Stephan Gollasch; Martin Hejda; Philip E. Hulme; Melanie Josefsson; Salit Kark; Kaarina Kauhala; Marc Kenis; Stefan Klotz; Manuel Kobelt; Ingolf Kühn; Philip W. Lambdon; Tor-Björn Larsson; Carlos Lopez-Vaamonde; Olivier Lorvelec; Hélia Marchante; Dan Minchin; Wolfgang Nentwig; Anna Occhipinti-Ambrogi; Sergej Olenin; Irina Olenina; Irina Ovcharenko; Vadim E Panov; Michel Pascal; Jan Pergl; Irena Perglová; Joan Pino; Petr Pyšek; Wolfgang Rabitsch; Jean-Yves Rasplus; Biren Rathod; Alain Roques; Helen Roy; Daniel Sauvard; Riccardo Scalera; Tamara A. Shiganova; Susan Shirley; Assaf Shwartz; Wojciech Solarz; Montserrat Vilà; Marten Winter; Pierre Yésou; Anastasija Zaiko; Tim Adriaens; Peter Desmet; Lien Reyserhove; David Roy; David Alderman; Pauline Anastasiu; Margarita Arianoutsou; Sylvie Augustin; Sven Bacher; Corina Başnou; Jean-Nicolas Beisel; Sandro Bertolino; Laura Bonesi; François Bretagnolle; Jean Louis Chapuis; Bruno Chauvel; François Chiron; Philippe Clergeau; Jonathan Cooper; Teresa Cunha; Pinelopi Delipetrou; Marie-Laure Desprez-Loustau; Mathieu Détaint; Simon Devin; Viktoras Didžiulis; Franz Essl; Bella S. Galil; Piero Genovesi; Francesca Gherardi; Stephan Gollasch; Martin Hejda; Philip E. Hulme; Melanie Josefsson; Salit Kark; Kaarina Kauhala; Marc Kenis; Stefan Klotz; Manuel Kobelt; Ingolf Kühn; Philip W. Lambdon; Tor-Björn Larsson; Carlos Lopez-Vaamonde; Olivier Lorvelec; Hélia Marchante; Dan Minchin; Wolfgang Nentwig; Anna Occhipinti-Ambrogi; Sergej Olenin; Irina Olenina; Irina Ovcharenko; Vadim E Panov; Michel Pascal; Jan Pergl; Irena Perglová; Joan Pino; Petr Pyšek; Wolfgang Rabitsch; Jean-Yves Rasplus; Biren Rathod; Alain Roques; Helen Roy; Daniel Sauvard; Riccardo Scalera; Tamara A. Shiganova; Susan Shirley; Assaf Shwartz; Wojciech Solarz; Montserrat Vilà; Marten Winter; Pierre Yésou; Anastasija Zaiko; Tim Adriaens; Peter Desmet; Lien Reyserhove (2025). DAISIE - Inventory of alien invasive species in Europe [Dataset]. http://doi.org/10.15468/ybwd3x
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DAISIE - Inventory of alien invasive species in Europe

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85 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Sep 30, 2025
Dataset provided by
Global Biodiversity Information Facilityhttps://www.gbif.org/
Research Institute for Nature and Forest (INBO)
Authors
David Roy; David Alderman; Pauline Anastasiu; Margarita Arianoutsou; Sylvie Augustin; Sven Bacher; Corina Başnou; Jean-Nicolas Beisel; Sandro Bertolino; Laura Bonesi; François Bretagnolle; Jean Louis Chapuis; Bruno Chauvel; François Chiron; Philippe Clergeau; Jonathan Cooper; Teresa Cunha; Pinelopi Delipetrou; Marie-Laure Desprez-Loustau; Mathieu Détaint; Simon Devin; Viktoras Didžiulis; Franz Essl; Bella S. Galil; Piero Genovesi; Francesca Gherardi; Stephan Gollasch; Martin Hejda; Philip E. Hulme; Melanie Josefsson; Salit Kark; Kaarina Kauhala; Marc Kenis; Stefan Klotz; Manuel Kobelt; Ingolf Kühn; Philip W. Lambdon; Tor-Björn Larsson; Carlos Lopez-Vaamonde; Olivier Lorvelec; Hélia Marchante; Dan Minchin; Wolfgang Nentwig; Anna Occhipinti-Ambrogi; Sergej Olenin; Irina Olenina; Irina Ovcharenko; Vadim E Panov; Michel Pascal; Jan Pergl; Irena Perglová; Joan Pino; Petr Pyšek; Wolfgang Rabitsch; Jean-Yves Rasplus; Biren Rathod; Alain Roques; Helen Roy; Daniel Sauvard; Riccardo Scalera; Tamara A. Shiganova; Susan Shirley; Assaf Shwartz; Wojciech Solarz; Montserrat Vilà; Marten Winter; Pierre Yésou; Anastasija Zaiko; Tim Adriaens; Peter Desmet; Lien Reyserhove; David Roy; David Alderman; Pauline Anastasiu; Margarita Arianoutsou; Sylvie Augustin; Sven Bacher; Corina Başnou; Jean-Nicolas Beisel; Sandro Bertolino; Laura Bonesi; François Bretagnolle; Jean Louis Chapuis; Bruno Chauvel; François Chiron; Philippe Clergeau; Jonathan Cooper; Teresa Cunha; Pinelopi Delipetrou; Marie-Laure Desprez-Loustau; Mathieu Détaint; Simon Devin; Viktoras Didžiulis; Franz Essl; Bella S. Galil; Piero Genovesi; Francesca Gherardi; Stephan Gollasch; Martin Hejda; Philip E. Hulme; Melanie Josefsson; Salit Kark; Kaarina Kauhala; Marc Kenis; Stefan Klotz; Manuel Kobelt; Ingolf Kühn; Philip W. Lambdon; Tor-Björn Larsson; Carlos Lopez-Vaamonde; Olivier Lorvelec; Hélia Marchante; Dan Minchin; Wolfgang Nentwig; Anna Occhipinti-Ambrogi; Sergej Olenin; Irina Olenina; Irina Ovcharenko; Vadim E Panov; Michel Pascal; Jan Pergl; Irena Perglová; Joan Pino; Petr Pyšek; Wolfgang Rabitsch; Jean-Yves Rasplus; Biren Rathod; Alain Roques; Helen Roy; Daniel Sauvard; Riccardo Scalera; Tamara A. Shiganova; Susan Shirley; Assaf Shwartz; Wojciech Solarz; Montserrat Vilà; Marten Winter; Pierre Yésou; Anastasija Zaiko; Tim Adriaens; Peter Desmet; Lien Reyserhove
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Time period covered
Dec 23, 1499 - Dec 31, 2005
Area covered
Description

The DAISIE - inventory of alien invasive species in Europe is a species checklist dataset published by the Research Institute for Nature and Forest (INBO) and the Centre for Ecology and Hydrology (CEH). It contains information on 12,104 taxa (mostly species and mostly introduced) occurring in the wild in Europe since 1500. It covers a broad taxonomic spectrum of terrestrial and aquatic free living and parasitic organisms. The collation of the alien species list is the result of the efforts of the DAISIE (http://www.europe-aliens.org/) project partners and more than 300 collaborators from Europe and neighbouring countries, involved in different fields of expertise and organisations. Here the DAISIE checklist is published as a standardized Darwin Core Archive and includes for each species: the scientific name, higher classification, and stable taxon identifier (in the taxon core), the vernacular names (in the vernacular names extension), the presence in a specific region, the year of the first introduction (first collection) and/or last assessment/observation in that region, as well as extra information (in the distribution extension), and the habitat, native range, and ecofunctional group (in the description extension). The DAISIE dataset is no longer maintained, but can be used as a historical archive for researching and managing alien plants or compiling regional and national registries of alien species. Issues with the dataset can be reported at https://github.com/trias-project/daisie-checklist

We have released this dataset under a Creative Commons Attribution license (CC-BY 4.0). We would appreciate it if you follow the GBIF citation guidelines (https://www.gbif.org/citation-guidelines) when using the data. If you have any questions regarding this dataset, don’t hesitate to contact us via the contact information provided in the metadata or via https://twitter.com/trias_project.

The publication of the checklist to GBIF was supported by the European Cooperation in Science and Technology (COST) action Alien CSI “CA17122 - Increasing understanding of alien species through citizen science” as a Short Term Scientific Mission “Publishing alien species checklist data for Europe through repeatable, open workflows”, with technical support provided by the Research Institute for Nature and Forest (INBO).

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