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8 results for “Taxonomic Authorities”
A Standardized Review of Bat Names Across Multiple Taxonomic Authorities
<p>The Bat Eco-Interactions Working Group, in collaboration with GBatNet and the international Bat Taxonomy Group, developed the <strong>Bat Taxonomic Alignment (BTA)</strong> to reconcile taxonomic discrepancies across currently recognized bat species. As knowledge of bat population structure and evolutionary history advances, taxonomic boundaries and species names are frequently revised. To address these changes, the BTA integrates data from ten leading taxonomic authorities and consolidates relationships, synonyms, and historic combinations for over <strong>1,480 valid bat species</strong> across <strong>1,680 taxonomic treatments</strong>.</p> <p>This open-access, searchable tool provides a time-calibrated inventory of Chiroptera taxonomy, documenting valid names, alternative names, subspecies, and synonymies. By aligning these classifications, the BTA enables users to identify unharmonized binomials and trace nomenclatural changes over time. It promotes taxonomic clarity critical for research, biodiversity assessments, and conservation planning, where misidentified or misaligned taxa can lead to gaps in knowledge, resource misallocation, or overlooked species. The BTA thus represents a foundational advancement in bat biodiversity informatics, emphasizing transparency, data provenance, and interoperability across digital taxonomic frameworks.</p> <p> </p>
Supplementary material 16: Author dashboard: Jeremy A. Miller from: Integrating and visualizing primary data from prospective and legacy taxonomic literature - Biodiversity Data Journal 3: e5063 (12 May 2015) https://doi.org/10.3897/BDJ.3.e5063
Dashboard charts showing content from articles by Jeremy A. Miller (lead author). When viewed using a browser (such as Google Chrome) with an internet connection, this page sends a series of queries to Plazi and integrates the results with the Google Charts API to produce 37 interactive dashboard charts.
Making The Taxonomic Effort: Data on Index Fungorum and IPNI new species and new combinations author gender
<p>Data on plant and fungal names and new combinations extracted in 2018 from the International Plant Names Index (IPNI) and Index Fungorum (IF) on names published from 1931 onwards. The gender of the authors of the names and combinations have been assigned from another data set on Zenodo here:</p> <p><strong>Lindon, Heather, Gardiner, Lauren, Vorontsova, Maria, & Brady, Abigail. (2020). Gendered Author List International Plant Names Index 2020 (Version 2) [Data set]. Zenodo. <a href="https://doi.org/10.5281/zenodo.3911077">https://doi.org/10.5281/zenodo.3911077</a></strong></p> <p>The set of data here was used for an analysis of names and new combinations published by women for a paper in the Linnean Society entitled 'Making the Taxonomic Effort' Published April 2023 https://www.linnean.org/our-publications.</p>
Rusia, Lake Rudolf, Ethiopia. Taxonomic status and constitution of G. pulvinatus have been disputed by some authors, but D. M. Lay in 1983, G. G. Musser and M. D. Carleton in 2005, D. C. D. Happold in 2013, and A. Monadjem and colleagues in 2015 considered it valid. Standard karyotype was provided by B. Hubert in 1978. Monotypic. Distribution. Djibouti, SW Ethiopia, and NW Kenya; it may occur in extreme SE South Sudan. in Muridae
Rusia, Lake Rudolf, Ethiopia. Taxonomic status and constitution of G. pulvinatus have been disputed by some authors, but D. M. Lay in 1983, G. G. Musser and M. D. Carleton in 2005, D. C. D. Happold in 2013, and A. Monadjem and colleagues in 2015 considered it valid. Standard karyotype was provided by B. Hubert in 1978. Monotypic. Distribution. Djibouti, SW Ethiopia, and NW Kenya; it may occur in extreme SE South Sudan.
Data from: Taxonomic quality of species descriptions varies over time and with the number of authors, but unevenly among parasitic taxa
Open the record for dataset details and reuse information.
Dataset: Using taxonomic treatments to assess an author's taxonomic range: the impactful career of Jocelia Grazia
<p>Here we present the dataset of the descriptive analysis of the bibliographic production of the world renowned heteropterist Dr. Jocélia Grazia. We analyzed a total of 220 published documents, including scientific papers, scientific notes, and book chapters. Additionally, we applied the Plazi workflow to extract taxonomic treatments, images, tables, and references from 75 different documents in accordance with the FAIR (Findability, Accessibility, Interoperability, and Reuse). The extracted treatments are available on TreatmentBank.</p> <p> </p> <p><strong>grazia-festschrift-basic_metadata.csv</strong>: this file contains basic metadata information about all 219 publications published up to 2020 (not inclusive), such as: File, Authors, Journal, Year, Volume, Issue, Pagination, doi.</p> <p><strong>grazia-festschrift-coauthors_data.csv</strong>: this file contains information on the co-authors, separated in different columns, with the country of their affiliation as well. Includes: filename, title, Author 1, Author 1 Country... Author 7, Author 7 Country.</p> <p><strong>grazia-festschrift-manual_counts.csv</strong>: contains manual counts on all of the 219 publications considered in this dataset: filename, title, number of treats, number of new species, number of genera, number of new family.</p> <p><strong>grazia-festschrift-preanalyses.csv</strong>: contains parameters assessed during the pre-analyses of the 219 publications considered in this dataset, including: File, Title, PDF Status, PDF Origin, OCR Quality, Was open-access?, Extracted, Has treatments, Includes Taxonomy?, Description of?, Species name as header?, Has keys, Has tables, Has materialCitation?, Has treatmentCitation?</p> <p><strong>grazia-festschrift-tb_stats-collecting_country.csv</strong>: results from the API call described in the paper, on 2020209: Number of Treatments, Number of Materails Citation, Collecting Country.</p> <p><strong>grazia-festschrift-tb_stats-collecting_year.csv</strong>: results from the API call described in the paper, on 2020209: Number of Treatments, Number of Materials Citations, Collecting Year. This wasn’t used in the dashboards included in the paper.</p> <p><strong>grazia-festschrift-tb_stats-collector_name.csv</strong>: results from the API call described in the paper, on 2020209: Number of Treatments, Number of Materials Citations, Collector Name.</p> <p><strong>grazia-festschrift-tb_stats-overall.csv</strong>: results from the API call described in the paper, on 2020209, including general stats on the liberated data for the project: Number of Articles, Document Author, Number of Treatments, Number of Treatment Citations, Number of Materials Citations, Number of Figures, Number of Tables, Number of Bibliographic References.</p> <p><strong>grazia-festschrift-tb_stats-taxon_authority_names.csv</strong>: results from the API call described in the paper, on 2020209: Number of Treatments, Taxon Authority Name.</p> <p><strong>grazia-festschrift-tb_stats-taxonomic_ranks.csv</strong>: results from the API call described in the paper, on 2020209: Number of Treatments, Document UUID, Rank of Taxon.</p> <p><strong>grazia-festschrift-tb_stats-taxonomic_status.csv</strong>: results from the API call described in the paper, on 2020209: Number of Treatments, Document UUID, Taxonomic Status.</p> <p><strong>grazia-festschrift-tb_stats-treatCit_cited_authors.csv</strong>: results from the API call described in the paper, on 2020209: Number of Treatments, Number of Treatment Citations, Cited Authors.</p> <p><strong>grazia-festschrift-to_Zenodo.csv</strong>: this was the file used to batch upload publications to Zenodo, including the resulting DOI, minted in case of absence of this PID. Includes: filename, motivation, upload_type, publication_type, publication_date, title, original_doi, journal_title, journal_volume, journal_issue, journal_pages, part_of_title, partof_pages, thesis_supervisor_01, thesis_01_affiliation, thesis_university_01, language, creator_1_name, creator_1_affiliation… creator_8_name, creator_8_affiliation, description, access_right, license, Keyword_1… Keyword_16, contributor_1_name, contributor_1_type, community_1, doi.</p>
Geographic range maps for Mammal Diversity Database v1.2 taxonomy from "Expert range maps of global mammal distributions harmonised to three taxonomic authorities"
<p>Data mirroring for long-term integrity of these critical geospatial resources. Included here are expert geographic range maps aligned to the taxonomy of the Mammal Diversity Database (MDD) version 1.2, which was published on 24 Sept 2020 https://zenodo.org/record/4139818. That taxonomy includes 6,485 total species, of which 103 are considered recently extinct, 20 are considered domestic extant, and 6,362 are considered wild extant (this corrects for 1 species, <em>Capra hircus</em>, that was incorrectly coded as 'domestic=0' rather than 'domestic=1' in the MDD v1.2). For this mapping project, only 6,362 species from MDD v1.2 have maps -- this total:</p> <ul> <li>excludes all extinct and domestic species;</li> <li>excludes 2 species for which no spatial information was available (<em>Nycticeius aenobarbus</em> and <em>Phoniscus aerosus</em>); and</li> <li>includes 2 species<em> </em>(<em>Elaphurus davidianus</em> and <em>Oryx dammah</em>) that are extinct in the wild (EW) in IUCN, have recent range information and were included in the MDD as extant.</li> </ul> <p><strong>### File inventory ###</strong></p> <ul> <li>Order-level zipped files (27 total), one for each extant order of mammals, unzips to geopackage (*.gpg) format;</li> <li>Mammalia-wide zipped file (1: "MDD_Mammalia.zip"), includes maps for all 27 orders, unzips to gpg format;</li> <li>Full taxonomy for MDD v1.2 (as published on https://zenodo.org/record/4139818) in csv format ("MDD_v1.2_all_6485species.csv"); and</li> <li>Subset of MDD v1.2 taxonomy for which range maps are here provided (6,362 species) in csv format ("mdd_spList_wFamilieswOrders_mapped_6362species.csv").</li> </ul> <p><br> <strong>### Full citation ###</strong></p> <p>Marsh, C.J., Sica, Y.V., Burgin, C.J., Dorman, W.A., Anderson, R.C., del Toro Mijares, I., Vigneron, J.G., Barve, V., Dombrowik, V.L., Duong, M., Guralnick, R., Hart, J.A., Maypole, J.K., McCall, K., Ranipeta, A., Schuerkmann, A., Torselli, M.A., Lacher Jr, T., Mittermeier, R.A., Rylands, A.B., Sechrest, W., Wilson, D.E., Abba, A.M., Aguirre, L.F., Arroyo-Cabrales, J., Astúa, D., Baker, A.M., Braulik, G., Braun, J.K., Brito, J., Busher, P.E., Burneo, S.F., Camacho, M.A., Cavallini, P., de Almeida Chiquito, E., Cook, J.A., Cserkész, T., Csorba, G., Cuéllar Soto, E., da Cunha Tavares, V., Davenport, T.R.B., Deméré, T., Denys, C., Dickman, C.R., Eldridge, M.D.B., Fernandez-Duque, E., Francis, C.M., Frankham, G., Franklin, W.L., Freitas, T., Friend, J.A., Gadsby, E.L., Garbino, G.S.T., Gaubert, P., Giannini, N., Giarla, T., Gilchrist, J.S., Gongora, J., Goodman, S.M., Gursky-Doyen, S., Hackländer, K., Hafner, M.S., Hawkins, M., Helgen, K.M., Heritage, S., Hinckley, A., Hintsche, S., Holden, M., Holekamp, K.E., Honeycutt, R.L., Huffman, B.A., Humle, T., Hutterer, R., Ibáñez Ulargui, C., Jackson, S.M., Janecka, J., Janecka, M., Jenkins, P., Juškaitis, R., Juste, J., Kays, R., Kilpatrick, C.W., Kingston, T., Koprowski, J.L., Kryštufek, B., Lavery, T., Lee Jr, T.E., Leite, Y.L.R., Novaes, R.L.M., Lim, B.K., Lissovsky, A., López-Antoñanzas, R., López-Baucells, A., MacLeod, C.D., Maisels, F.G., Mares, M.A., Marsh, H., Mattioli, S., Meijaard, E., Monadjem, A., Morton, F.B., Musser, G., Nadler, T., Norris, R.W., Ojeda, A., Ordóñez-Garza, N., Pardiñas, U.F.J., Patterson, B.D., Pavan, A., Pennay, M., Pereira, C., Prado, J., Queiroz, H.L., Richardson, M., Riley, E.P., Rossiter, S.J., Rubenstein, D.I., Ruelas, D., Salazar-Bravo, J., Schai-Braun, S., Schank, C.J., Schwitzer, C., Sheeran, L.K., Shekelle, M., Shenbrot, G., Soisook, P., Solari, S., Southgate, R., Superina, M., Taber, A.B., Talebi, M., Taylor, P., Vu Dinh, T., Ting, N., Tirira, D.G., Tsang, S., Turvey, S.T., Valdez, R., Van Cakenberghe, V., Veron, G., Wallis, J., Wells, R., Whittaker, D., Williamson, E.A., Wittemyer, G., Woinarski, J., Zinner, D., Upham, N.S., Jetz, W., 2022. Expert range maps of global mammal distributions harmonised to three taxonomic authorities. Journal of Biogeography 49 (5): 979-992. <a href="https://doi.org/10.1111/jbi.14330">https://doi.org/10.1111/jbi.14330</a><br> </p> <p><strong>###</strong><strong> Data downloads on Map of Life ###</strong></p> <p>All range maps for the three taxonomic sources are openly available for non-commercial use through https://mol.org/datasets or at species-level at https://mol.org/species, or for bulk download at https://doi.org/10.48600/mol-7r3j-8066 (HMW), https://doi.org/10.48600/mol-zzrs-q778 (CMW) and https://doi.org/10.48600/mol-48vz-p413 (MDD).</p> <p> </p> <p><strong>###</strong><strong> Abstract ###</strong></p> <p><strong>Aim: </strong> Comprehensive, global information on species' occurrences is an essential biodiversity variable and central to a range of applications in ecology, evolution, biogeography and conservation. Expert range maps often represent a species' only available distributional information and play an increasing role in conservation assessments and macroecology. We provide global range maps for the native ranges of all extant mammal species harmonised to the taxonomy of the Mammal Diversity Database (MDD) mobilised from two sources, the <em>Handbook of the Mammals of the World</em> (HMW) and the <em>Illustrated Checklist of the Mammals of the World</em> (CMW).</p> <p><strong>Location: </strong> Global.</p> <p><strong>Taxon: </strong> All extant mammal species.</p> <p><strong>Methods: </strong> Range maps were digitally interpreted, georeferenced, error-checked and subsequently taxonomically aligned between the HMW (6253 species), the CMW (6431 species) and the MDD taxonomies (6362 species).</p> <p><strong>Results: </strong> Range maps can be evaluated and visualised in an online map browser at Map of Life (mol.org) and accessed for individual or batch download for non-commercial use.</p> <p><strong>Main conclusion: </strong> Expert maps of species' global distributions are limited in their spatial detail and temporal specificity, but form a useful basis for broad-scale characterizations and model-based integration with other data. We provide georeferenced range maps for the native ranges of all extant mammal species as shapefiles, with species-level metadata and source information packaged together in geodatabase format. Across the three taxonomic sources our maps entail, there are 1784 taxonomic name differences compared to the maps currently available on the IUCN Red List website. The expert maps provided here are harmonised to the MDD taxonomic authority and linked to a community of online tools that will enable transparent future updates and version control.</p> <p><strong>Keywords: </strong> GIS; Mammalia; biodiversity; biogeography; conservation planning; mapping; species distributions.</p>
Linked data for taxonomic authors in ORCID.org
<p>Subset of ORCID.org data for taxonomic papers and their authors.</p>
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
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OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.