cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1196309.10fu
title: SH1196309.10FU

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/sh1196312.10fu
title: SH1196312.10FU

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/sh1196314.10fu
title: SH1196314.10FU

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/sh1196317.10fu
title: SH1196317.10FU

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/sh1196319.10fu
title: SH1196319.10FU

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/sh1196321.10fu
title: SH1196321.10FU

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/sh1196322.10fu
title: SH1196322.10FU

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/sh1196323.10fu
title: SH1196323.10FU

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/sh1196325.10fu
title: SH1196325.10FU

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: 10.15468/dl.kvx34s
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ophisternon bengalense",
 "Country is Indonesia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062391-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e239315
title: Nerve agent exposure and physiological stress alter brain microstructure and immune profiles after inflammatory challenge in a long-term animal model of Gulf War Illness

description: Gulf War Illness (GWI) is a disorder experienced by one-third of the veterans of the 1990-91 Gulf War, with symptoms including fatigue, chronic pain, respiratory and memory problems. Exposure to toxic chemicals during the war, such as oil well fire smoke, pesticides, physiological stress, and nerve agents, is thought to have triggered abnormal neuroinflammatory responses that contribute to GWI. Previous studies using animal models have indicated that combined exposure to high physiological stress and GW-relevant organophosphates, such as sarin nerve agent and chlorpyrifos and dichlorvos, produces neuroinflammation and changes in diffusion magnetic resonance imaging (MRI) measures, suggesting a neuroimmune basis for GWI. In the current study, we examined brain structure and immune function of a chronic rat model of GWI and showed that a combination of long-term corticosterone treatment (CORT, to mimic high physiological stress) and diisopropyl fluorophosphate exposure (DFP, to mimic sarin exposure) resulted in elevations of multiple inflammatory cytokines, an increased activated microglial population, and disrupted brain microstructure in the hippocampal regions. Moreover, prior exposures to these agents modeling the “in-theater,” initiating exposure conditions experienced by veterans with GWI can induce long-term alterations in neuroimmune signaling, resulting in an exacerbated neuroinflammatory response to future immune challenges. The goal of the study was to establish a long-term model of GWI in rats that would be more relevant to the current state of ill veterans. As such, rats were initially exposed to the stress hormone corticosterone (CORT) for 1 week followed by a single exposure to the sarin surrogate diisopropyl fluorophosphate, to mimic “in-theater” conditions of high physiological stress and nerve agent exposure. This initial exposure was followed up with 4 weeks of intermittent re-exposure to week-long bouts of CORT and a final exposure to the prototypical inflammagen, lipopolysaccharide (LPS) to mimic a systemic inflammatory challenge.
description: Data downloaded 5/20/2025
DOI: 10.15468/dl.42kq49
title: Occurrence Download

description: A dataset containing 262 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-10000.0",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Pseudochazara geyeri"
 ]
}

 The dataset includes 262 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005488-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e239315v1
title: Nerve agent exposure and physiological stress alter brain microstructure and immune profiles after inflammatory challenge in a long-term animal model of Gulf War Illness

description: Gulf War Illness (GWI) is a disorder experienced by one-third of the veterans of the 1990-91 Gulf War, with symptoms including fatigue, chronic pain, respiratory and memory problems. Exposure to toxic chemicals during the war, such as oil well fire smoke, pesticides, physiological stress, and nerve agents, is thought to have triggered abnormal neuroinflammatory responses that contribute to GWI. Previous studies using animal models have indicated that combined exposure to high physiological stress and GW-relevant organophosphates, such as sarin nerve agent and chlorpyrifos and dichlorvos, produces neuroinflammation and changes in diffusion magnetic resonance imaging (MRI) measures, suggesting a neuroimmune basis for GWI. In the current study, we examined brain structure and immune function of a chronic rat model of GWI and showed that a combination of long-term corticosterone treatment (CORT, to mimic high physiological stress) and diisopropyl fluorophosphate exposure (DFP, to mimic sarin exposure) resulted in elevations of multiple inflammatory cytokines, an increased activated microglial population, and disrupted brain microstructure in the hippocampal regions. Moreover, prior exposures to these agents modeling the “in-theater,” initiating exposure conditions experienced by veterans with GWI can induce long-term alterations in neuroimmune signaling, resulting in an exacerbated neuroinflammatory response to future immune challenges. The goal of the study was to establish a long-term model of GWI in rats that would be more relevant to the current state of ill veterans. As such, rats were initially exposed to the stress hormone corticosterone (CORT) for 1 week followed by a single exposure to the sarin surrogate diisopropyl fluorophosphate, to mimic “in-theater” conditions of high physiological stress and nerve agent exposure. This initial exposure was followed up with 4 weeks of intermittent re-exposure to week-long bouts of CORT and a final exposure to the prototypical inflammagen, lipopolysaccharide (LPS) to mimic a systemic inflammatory challenge.
description: Data downloaded 5/20/2025
DOI: 10.15468/dl.e52sxf
title: Occurrence Download

description: A dataset listing the 9230 species recorded in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "NetworkKey is 99d66b6c-9087-452f-a9d4-f15f2c2d0e7e",
 "TaxonKey is Chordata"
 ]
 },
 {
 "and" : [
 "Continent is one of (Asia, Oceania)",
 "TaxonKey is one of (Mammalia [GBIF Backbone Taxonomy], Tachyglossus aculeatus [GBIF Backbone Taxonomy])"
 ]
 }
 ]
}

 The dataset's 9230 records were derived from 97 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005474-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cc3q6a
title: Occurrence Download

description: A dataset containing 109 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Canthon indigaceus chiapas"
 ]
}

 The dataset includes 109 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005490-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.whsttx
title: Occurrence Download

description: A dataset containing 888 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Canthon femoralis"
 ]
}

 The dataset includes 888 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005491-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u8e8du
title: Occurrence Download

description: A dataset containing 2170 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-5.19461 43.16675,5.94693 43.16675,5.94693 49.73104,-5.19461 49.73104,-5.19461 43.16675))",
 "HasCoordinate is true",
 "TaxonKey is Canis lupus",
 "Year 1960-2025"
 ]
}

 The dataset includes 2170 records from 117 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005492-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e239317v1
title: Developing a Method to Estimate Aerosol Generation during Poultry Slaughtering and Defeathering in Bangladesh: An Experimental Study

description: From June to September 2018, a team of six anthropologists conducted the experiments at the National Reference Laboratory for Avian Influenza, Bangladesh Livestock Research Institute (BLRI), Savar, Bangladesh. We conducted experiments in the facility to ensure a controlled environment, which was required to determine the quantity of PM2.5 generated during poultry slaughtering and defeathering. To ensure consistency across slaughtering and defeathering activities, we hired three LBM workers, who followed the same slaughtering and defeathering steps as in the LBMs and used the same equipment, including knives, barrels and defeathering machines. The team also conducted a survey from February to March 2018 using a semi-structured observation form in all shops (N=716) of all retail LBMs (N=35) in Dhaka city consisting of at least 10 shops. During the survey, they collected data on various equipment used for containing slaughtered poultry during exsanguination and mechanical defeathering, average weight of slaughtered broiler chickens, and average temperature of hot water used for scalding. Additionally, the team measured breathing heights of randomly selected 20 adult workers, who conducted slaughtering and defeathering, from three conveniently selected LBMs.
description: Downloaded 5/20/2025
DOI: 10.15468/dl.d9wwf8
title: Occurrence Download

description: A dataset containing 9554 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Chile",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Tachuris rubrigastra",
 "Year 1971-2020"
 ]
}

 The dataset includes 9554 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005494-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.npkmez
title: Occurrence Download

description: A dataset containing 341 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-103.25923 20.59326,-103.21051 20.59326,-103.21051 20.63181,-103.25923 20.63181,-103.25923 20.59326))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 341 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005495-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zewes9
title: Occurrence Download

description: A dataset containing 52439 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Canidae)",
 "DecimalLatitude is greater than or equal to 15.0",
 "DecimalLatitude is less than or equal to 85.0",
 "DecimalLongitude is greater than or equal to -170.0",
 "DecimalLongitude is less than or equal to -50.0",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "or" : [
 "License is CC0 1.0",
 "License is CC-BY 4.0"
 ]
 }
 ]
}

 The dataset includes 52439 records from 200 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005486-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yrb93f
title: Occurrence Download

description: A dataset listing the 13 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-73.87557 9.01103,-73.86161 8.88343,-73.7883 8.82135,-73.7883 8.73164,-73.82321 8.65227,-73.61375 8.62121,-73.57884 8.65918,-73.4392 8.91103,-73.06567 8.93862,-72.98538 8.99724,-72.92403 9.1114,-72.9466 9.22138,-72.96911 9.31366,-73.27931 9.19338,-73.87557 9.01103))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Squamata"
 ]
}

 The dataset's 13 records were derived from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005489-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e239321
title: Biological effects of inhaled crude oil vapor. III. Pulmonary effects

description: Workers involved in oil exploration and production in the upstream petroleum industry are exposed to crude oil vapor (COV). COV levels in the proximity of workers during production tank gauging and opening of thief hatches can exceed regulatory standards, and several deaths have occurred after opening thief hatches. There is a paucity of information regarding the effects of COV inhalation in the lung. To address these knowledge gaps, the present hazard identification study was one of six undertaken to investigate the effects of inhaled COV in a rat animal model.
description: Data downloaded 5/20/2025
DOI: 10.3886/e239321v1
title: Biological effects of inhaled crude oil vapor. III. Pulmonary effects

description: Workers involved in oil exploration and production in the upstream petroleum industry are exposed to crude oil vapor (COV). COV levels in the proximity of workers during production tank gauging and opening of thief hatches can exceed regulatory standards, and several deaths have occurred after opening thief hatches. There is a paucity of information regarding the effects of COV inhalation in the lung. To address these knowledge gaps, the present hazard identification study was one of six undertaken to investigate the effects of inhaled COV in a rat animal model.
description: Data downloaded 5/20/2025