cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.664nrp
title: Occurrence Download

description: A dataset containing 103981 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Actinostachys pennula (Sw.) Hook., Adiantum aleuticum (Rupr.) C.A.Paris, Adiantum anceps Maxon & C.V.Morton, Adiantum capillus-veneris L., Adiantum melanoleucum Willd., Adiantum pedatum L., Adiantum tenerum Sw., Adiantum ×viridimontanum C.A.Paris, Amauropelta noveboracensis (L.) S.E.Fawc. & A.R.Sm., Amauropelta resinifera (Desv.) Pic.Serm., Amauropelta sancta (L.) Pic.Serm., Amblovenatum opulentum (Kaulf.) J.P.Roux)"
 ]
}

 The dataset includes 103981 records from 954 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0233016-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ffmktw
title: Occurrence Download

description: A dataset containing 3175 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is one of (Spain, Sweden, Germany, United Kingdom of Great Britain and Northern Ireland)",
 "TaxonKey is Arabidopsis thaliana (L.) Heynh.",
 "Year 1000-2024"
 ]
}

 The dataset includes 3175 records from 114 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007507-240425142415019/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.36r9az
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Helianthus annuus L.)",
 "Continent is Asia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1990"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0215688-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4dha42
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Amphibia",
 "Geometry POLYGON ((-112.4172 27.5142, -112.537 27.36575, -112.7033 27.47233, -112.5839 27.62089, -112.4172 27.5142))",
 "Year is greater than or equal to 1900",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 }
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003694-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8uaew5
title: Occurrence Download

description: A dataset containing 909 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leptochloa scabra Nees"
 ]
}

 The dataset includes 909 records from 97 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008074-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.an6eqh
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Helianthus annuus L.)",
 "Continent is Asia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1990"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0215686-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j2tb7e
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Guatemala",
 "DatasetKey is N.C.W. Beadle Herbarium (NE) AVH data"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0232970-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qqst8d
title: Occurrence Download

description: A dataset containing 50413 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Procambarus clarkii (Girard, 1852), Procambarus virginalis Lyko, 2017, Procambarus acutus (Girard, 1852), Faxonius limosus (Rafinesque, 1817), Faxonius virilis (Hagen, 1870), Faxonius immunis (Hagen, 1870), Faxonius juvenilis (Hagen, 1870), Faxonius rusticus (Girard, 1852), Astacus astacus (Linnaeus, 1758), Pontastacus leptodactylus (Eschscholtz, 1823), Cherax destructor Clark, 1936, Cherax quadricarinatus (von Martens, 1868))",
 "Country is one of (Belgium, Germany, France, Netherlands, Luxembourg)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 50413 records from 308 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0215690-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/sr6skdvfxz.1
title: Data for "Practices of Normalization of Political Violence at Volkswagen do Brasil during the Brazilian Civil-Military Dictatorship (1964-1985)" published by RAC - Revista de Administração Contemporânea

description: Historical Organization Studies. The article's purpose is to investigate the practices of normalization of political violence committed by Volkswagen do Brasil (VWB) against its workers during the Brazilian military dictatorship (1964-1988), how they were configured, and how they were operationalized. The research corpus was composed of a set of public documents analyzed in an articulated method. They are from:
- The Public Collections of the National Archives (AN) and the Public Archives of the State of São Paulo (APESP).
- The Public Representation opened against the company Volkswagen do Brasil by the São Paulo Public Prosecutors Office.
- The newspaper of the ABC Union - Tribuna Metalúrgica.
- The VW Family magazine, published by the company Volkswagen do Brasil in the 1950s, 1960s and 1970s.
- Newspaper public sources. 
These documents became sources based on the historical operation undertaken to contextualize and interpret the documents by the research objective. The records were analyzed in light of the analytical conceptual framework constructed, in principle, from historiography. Subsequently, the analytical framework was complemented with analytical categories from the field.
DOI: 10.15468/dl.pvnjns
title: Occurrence Download

description: A dataset containing 13590 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Museo Argentino de Ciencias Naturales \"Bernardino Rivadavia\" (MACN). Entomology National Collection (MACNEn)"
 ]
}

 The dataset includes 13590 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0232998-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pxw9t8
title: Occurrence Download

description: A dataset containing 4731 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Engraulis encrasicolus (Linnaeus, 1758)",
 "HasCoordinate is true",
 "DecimalLatitude is greater than -90",
 "DecimalLongitude is greater than -180"
 ]
}

 The dataset includes 4731 records from 109 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0215695-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2asfdh
title: Occurrence Download

description: A dataset containing 13381 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Merluccius hubbsi Marini, 1933",
 "HasCoordinate is true",
 "DecimalLatitude is greater than -90",
 "DecimalLongitude is greater than -180"
 ]
}

 The dataset includes 13381 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0215694-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q2aptc
title: Occurrence Download

description: A dataset listing the 3 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leptodactylus fragilis (Brocchi, 1877)"
 ]
}

 The dataset's 3 records were derived from 176 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0233017-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wyf3sv
title: Occurrence Download

description: A dataset containing 535387 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Data collected on citizen science web portal www.ornitho.cat"
 ]
}

 The dataset includes 535387 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019186-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gwzxbr
title: Occurrence Download

description: A dataset containing 535114 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Field Museum of Natural History (Zoology) Bird Collection"
 ]
}

 The dataset includes 535114 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019187-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14684946
title: Multi-round smHCR-FISH for archaea

description: A multi-round smHCR-FISH method for archaea.  The file contains the code package and sample images.
DOI: 10.5281/zenodo.14684947
title: Multi-round smHCR-FISH for archaea

description: A multi-round smHCR-FISH method for archaea.  The file contains the code package and sample images.
DOI: 10.15468/dl.t9f82r
title: Occurrence Download

description: A dataset containing 541342 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is University of Florida Vertebrate Paleontology"
 ]
}

 The dataset includes 541342 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019185-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.edtq3a
title: Occurrence Download

description: A dataset containing 142033 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cerastium arvense L.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 142033 records from 965 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008205-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0184216.10fu
title: SH0184216.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.3886/e242782v1
title: NCHS Rapid Surveys System

description: The NCHS Rapid Surveys System includes questions sponsored by CDC programs and other partners to address time-sensitive data needs, public health attitudes or behaviors, and developmental work to improve concept measurement and inform future question design. It also includes standard variables used for sample weighting and calibration, as well as selected portions of existing content from NCHS surveys (such as the National Health Interview Survey) to compare panel estimates to these benchmarks, assess the fitness-for-use of the panel survey data, and for other methodological purposes.
Read less
description: (Downloaded 1/7/2026)
DOI: 10.15156/bio/sh0184217.10fu
title: SH0184217.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0184218.10fu
title: SH0184218.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0184219.10fu
title: SH0184219.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0184220.10fu
title: SH0184220.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0184221.10fu
title: SH0184221.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0184222.10fu
title: SH0184222.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0184223.10fu
title: SH0184223.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0184224.10fu
title: SH0184224.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.25345/c5qv3ch5g
title: MassIVE MSV000100424 - Multiparity reprograms the ovarian aging trajectory
title: Label-free mouse oocyte proteomic samples (8-9 oocytes per sample) were prepared using a low-input DDM-based lysis workflow. Proteins were digested with trypsin and analyzed by nanoLC-MS/MS on an Orbitrap Exploris 480. Data were acquired in DIA mode using 32 fixed isolation windows covering m/z 350-830. DIA data were processed using Spectronaut (v20.3) with the library-free directDIA workflow. Searches were performed against the UniProt Mus musculus database (September 2021) using default BGS Factory settings.