cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0183464.10fu
title: SH0183464.10FU

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/sh0183465.10fu
title: SH0183465.10FU

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/sh0183466.10fu
title: SH0183466.10FU

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/sh0183467.10fu
title: SH0183467.10FU

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/sh0183468.10fu
title: SH0183468.10FU

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/sh0183469.10fu
title: SH0183469.10FU

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/sh0183470.10fu
title: SH0183470.10FU

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/sh0183471.10fu
title: SH0183471.10FU

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/sh0183472.10fu
title: SH0183472.10FU

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: 10.6084/m9.figshare.28774508
title: APP FINAL DATASET.xlsx

description: This study examines disparities in treatment initiation and engagement among individuals with opioid use disorder (OUD) receiving care at Capital Area Human Services District, a publicly funded behavioral health agency in Louisiana. Using a cross-sectional design and electronic health record data from 252 adult treatment episodes (2022–2023), the study analyzes patterns by race and birth sex. Initiation occurred in 52.4% of cases, but only 38.5% achieved engagement. Race was not significantly associated with either outcome, suggesting that low-barrier, publicly funded care may help reduce racial disparities in treatment access. However, females were significantly more likely than males to engage in treatment, highlighting a gender gap in retention. Guided by the Behavioral Model for Vulnerable Populations and Social Determinants of Health, findings underscore the value of agency-level data in identifying local disparities. Results support the need for gender-responsive interventions and further research into structural barriers influencing long-term engagement in OUD care.
DOI: 10.15468/dl.vpqxwe
title: Occurrence Download

description: A dataset containing 22650 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-116.85584 31.97341,-116.78904 31.97341,-116.78904 32.00011,-116.85584 32.00011,-116.85584 31.97341))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "PublishingCountry is Mexico"
 ]
}

 The dataset includes 22650 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016236-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14776525
title: Data from: Post-release survival of marine gastropods: a review

description: Marine gastropods support important artisanal, cultural, and commercial fisheries. However, overexploitation of abalone, conch, topshell, and limpets has resulted in population declines globally, with numerous species on the IUCN Red List of Threatened Species. Various efforts to supplement existing populations by either translocating wild or releasing hatchery-produced stock have suffered from low survival. To understand predictors influencing post-release survival, we conducted a systematic review and quantitative synthesis of literature on marine gastropod releases. Our global review identified 88 studies (575 unique release events) across 18 species. A similar number of releases were conducted in tropical (52%) and temperate (48%) regions, although most release events involved either Haliotidae (57%) or Strombidae (26%). Most releases used hatchery-produced stock (77%), highlighting the prominent role of aquaculture. For seven species with sufficient data, we tested the effect of time since release, stock origin (hatchery, translocated), size at release, and density on post-release apparent survival (referred to as ‘survival’ hereafter), where applicable. Survival declined through time regardless of species. Hatchery-produced and translocated Haliotis fulgens had similar survival post-release, but hatchery-produced Aliger gigas had lower survival probability than translocated stock. Size at release increased survival probability for only two (Haliotis discus and A. gigas) of the seven species. Similarly, density had no effect on the post-release survival of Haliotis rubra, Haliotis rufescens, and A. gigas. Overall, we found low long-term predicted survival across the seven species. Our findings highlight that overcoming low post-release survival is a significant hurdle when rehabilitating depleted stocks of marine gastropods.

This data set is in support of the article published with the same title in Biological Conservation (https://doi.org/10.1016/j.biocon.2025.111153)
DOI: 10.5281/zenodo.14776526
title: Data from: Post-release survival of marine gastropods: a review

description: Marine gastropods support important artisanal, cultural, and commercial fisheries. However, overexploitation of abalone, conch, topshell, and limpets has resulted in population declines globally, with numerous species on the IUCN Red List of Threatened Species. Various efforts to supplement existing populations by either translocating wild or releasing hatchery-produced stock have suffered from low survival. To understand predictors influencing post-release survival, we conducted a systematic review and quantitative synthesis of literature on marine gastropod releases. Our global review identified 88 studies (575 unique release events) across 18 species. A similar number of releases were conducted in tropical (52%) and temperate (48%) regions, although most release events involved either Haliotidae (57%) or Strombidae (26%). Most releases used hatchery-produced stock (77%), highlighting the prominent role of aquaculture. For seven species with sufficient data, we tested the effect of time since release, stock origin (hatchery, translocated), size at release, and density on post-release apparent survival (referred to as ‘survival’ hereafter), where applicable. Survival declined through time regardless of species. Hatchery-produced and translocated Haliotis fulgens had similar survival post-release, but hatchery-produced Aliger gigas had lower survival probability than translocated stock. Size at release increased survival probability for only two (Haliotis discus and A. gigas) of the seven species. Similarly, density had no effect on the post-release survival of Haliotis rubra, Haliotis rufescens, and A. gigas. Overall, we found low long-term predicted survival across the seven species. Our findings highlight that overcoming low post-release survival is a significant hurdle when rehabilitating depleted stocks of marine gastropods.

This data set is in support of the article published with the same title in Biological Conservation (https://doi.org/10.1016/j.biocon.2025.111153)
DOI: 10.15468/dl.72t32r
title: Occurrence Download

description: A dataset containing 234072 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Belgium",
 "TaxonKey is one of (Aponogeton distachyos L.f., Arthurdendyus triangulatus (Dendy, 1895), Cabomba caroliniana A.Gray, Callosciurus finlaysonii (Horsfield, 1823), Cherax destructor Clark, 1936, Corvus splendens Vieillot, 1817, Crassula helmsii (Kirk) Cockayne, Elodea densa (Planch.) Casp., Eriocheir sinensis H.Milne Edwards, 1853, Erythranthe guttata (DC.) G.L.Nesom, Faxonius immunis (Hagen, 1870), Faxonius juvenilis (Hagen, 1870), Faxonius rusticus (Girard, 1852), Faxonius virilis (Hagen, 1870), Gambusia affinis (Baird & Girard, 1853), Heracleum mantegazzianum Sommier & Levier, Heracleum persicum Desf. ex Fisch., C.A.Mey. & Avé-Lall., Heracleum pubescens (Hoffm.) M.Bieb., Houttuynia cordata Thunb., Hydrocotyle ranunculoides L.f., Impatiens glandulifera Royle, Koenigia polystachya (Wall. ex Meisn.) T.M.Schust. & Reveal, Lagarosiphon major (Ridl.) Moss, Lepomis gibbosus (Linnaeus, 1758), Limnoperna fortunei (Dunker, 1857), Ludwigia grandiflora (Michx.) Greuter & Burdet, Ludwigia peploides (Kunth) P.H.Raven, Lysichiton americanus Hultén & H.St.John, Morone americana (Gmelin, 1789), Muntiacus reevesi (Ogilby, 1839), Myriophyllum aquaticum (Vell.) Verdc., Myriophyllum heterophyllum Michx., Pacifastacus leniusculus (Dana, 1852), Petasites japonicus (Siebold & Zucc.) Maxim., Pontederia cordata L., Procambarus acutus (Girard, 1852), Procambarus clarkii (Girard, 1852), Procambarus virginalis Lyko, 2017, Pseudorasbora parva (Temminck & Schlegel, 1846), Pycnonotus cafer (Linnaeus, 1766), Saururus cernuus L., Sciurus carolinensis Gmelin, 1788, Sciurus niger Linnaeus, 1758, Solenopsis invicta Buren, 1972, Solenopsis richteri Forel, 1909, Threskiornis aethiopicus (Latham, 1790), Vespa velutina Lepeletier, 1836, Zizania latifolia (Griseb.) Hance ex F.Muell.)",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 234072 records from 83 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016224-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zbxsds
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Occurrence evidence, Specimen, Material sample, Human Observation)",
 "GadmGid is one of (PNG, AUS, PHL, IDN.19_1, IDN.18_1, IDN.22_1, IDN.23_1)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Macrobrachium rosenbergii (De Man, 1879)",
 "Year 1970-2025"
 ]
}

 The dataset includes 9 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016238-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sk934a
title: Occurrence Download

description: A dataset containing 800 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Acrochordus granulatus (Schneider, 1799), Acrochordus javanicus Hornstedt, 1787, Afrotyphlops angolensis (Bocage, 1866), Afrotyphlops bibronii (Smith, 1846), Afrotyphlops brevis (Scortecci, 1929))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 800 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016239-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13351188
title: iCESM1.2 Cenomanian Turonian simulations with varying pCO2

description: This dataset contains ocean and atmosphere outputs, including water isotopes (NetCDF files) from modeling experiments with realistic Cenomano-Turonian paleogeography and varying pCO2. The simulations have been run using the iCESM1.2 Earth System Model (f19_g16). It includes 3 ocean-atmosphere simulations. Data are monthly averages over the last 100 years of the simulations.

The code for the water isotope enabled iCESM1.2 used to obtain those ouputs is available at https://github.com/NCAR/iCESM1.2
DOI: 10.5281/zenodo.13351187
title: iCESM1.2 Cenomanian Turonian simulations with varying pCO2

description: This dataset contains ocean and atmosphere outputs, including water isotopes (NetCDF files) from modeling experiments with realistic Cenomano-Turonian paleogeography and varying pCO2, and notebook (Scripts_Cretaceous.tar) to produce analysis from Sarr et al. (2025), Paleoceanography and Paleoclimatology paper. The simulations have been run using the iCESM1.2 Earth System Model (f19_g16). It includes 3 ocean-atmosphere simulations. Data are monthly averages over the last 100 years of the simulations.

The code for the water isotope enabled iCESM1.2 used to obtain those ouputs is available at https://github.com/NCAR/iCESM1.2
DOI: 10.5281/zenodo.15191756
title: iCESM1.2 Cenomanian Turonian simulations with varying pCO2

description: This dataset contains ocean and atmosphere outputs, including water isotopes (NetCDF files) from modeling experiments with realistic Cenomano-Turonian paleogeography and varying pCO2, and notebook (Scripts_Cretaceous.tar) to produce analysis from Sarr et al. (2025), Paleoceanography and Paleoclimatology paper. The simulations have been run using the iCESM1.2 Earth System Model (f19_g16). It includes 3 ocean-atmosphere simulations. Data are monthly averages over the last 100 years of the simulations.

The code for the water isotope enabled iCESM1.2 used to obtain those ouputs is available at https://github.com/NCAR/iCESM1.2
DOI: 10.15468/dl.ck6eg5
title: Occurrence Download

description: A dataset containing 18124 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Australia",
 "DatasetKey is one of (iNaturalist Research-grade Observations, WildNet - Queensland Wildlife Data, FrogID, Queensland Museum provider for OZCAM, Queensland Coastal Wetlands Resources Mapping Data - Mangroves)",
 "GadmGid is AUS.7_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Rhinella marina (Linnaeus, 1758)"
 ]
}

 The dataset includes 18124 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016241-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4pvvtr
title: Occurrence Download

description: A dataset containing 127 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (Asia, Oceania)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Macrobrachium rosenbergii (De Man, 1879)",
 "Year 1970-2025"
 ]
}

 The dataset includes 127 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016242-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3q9j6a
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Scolichthys Rosen, 1967"
 ]
}

 The dataset includes 39 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016243-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.