cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1060707.10fu
title: SH1060707.10FU

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/sh1060708.10fu
title: SH1060708.10FU

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/sh1060710.10fu
title: SH1060710.10FU

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/sh1060713.10fu
title: SH1060713.10FU

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/sh1060714.10fu
title: SH1060714.10FU

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/sh1060716.10fu
title: SH1060716.10FU

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/sh1060728.10fu
title: SH1060728.10FU

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/sh1060729.10fu
title: SH1060729.10FU

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/sh1060732.10fu
title: SH1060732.10FU

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.z8kgt3
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cousinia malurensis Rech.fil."
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012589-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w3rg3g
title: Occurrence Download

description: A dataset containing 2720 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Agrilus cyanescens (Ratzeburg, 1837))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2720 records from 135 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042495-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u9wvzc
title: Occurrence Download

description: A dataset containing 5940 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Plan Aménagement et de Gestion Simplifié (PAGS) des forêts galeries des départements de l'Ouémé-Plateau. Data mobilized in the framework of a JRS Biodiversity Foundation project in Benin"
 ]
}

 The dataset includes 5940 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011229-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gduesn
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Abrostola canariensis Hampson, 1913"
 ]
}

 The dataset includes 21 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0091855-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gk2bmv
title: Occurrence Download

description: A dataset containing 6091 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Alchemilla subalpina S.E.Fröhner, Alchemilla subcrenata Buser, Alchemilla subglobosa C.G.Westerl., Alchemilla subsericea Reut., Alchemilla szaferi Pawl., Alchemilla taernaensis Hyl. ex Ericsson & Hellqv., Alchemilla tenerrima S.E.Fröhner, Alchemilla tenuis Buser, Alchemilla tirolensis Buser ex Dalla Torre & Sarnth., Alchemilla transiens (Buser) Buser)",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation)",
 "DatasetKey is one of (Pl@ntNet automatically identified occurrences, Pl@ntNet observations, iNaturalist Research-grade Observations, Observation.org, Nature data from around the World, naturgucker, Artportalen (Swedish Species Observation System), Norwegian Species Observation Service, Programme d'observation naturaliste participative avec l'application mobile INPN Espèces - Application INPN Espèces: Observations naturalistes, participatives et opportunistes, fondées sur des photographies, Species recordings from the Danish National portal Arter.dk, Lajitietokeskus/FinBIF - Notebook, general observations, Vascular plant records verified via iRecord, iRecord Surveys)",
 "Continent is Europe",
 "OccurrenceStatus is Present",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 500",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 6091 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068448-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4uwjg8
title: Occurrence Download

description: A dataset containing 17791 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Kalanchoe Adans."
 ]
}

 The dataset includes 17791 records from 450 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068454-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zs322p
title: Occurrence Download

description: A dataset containing 109 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pitavia punctata (Ruiz & Pav.) Molina"
 ]
}

 The dataset includes 109 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0091860-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bnpmpd
title: Occurrence Download

description: A dataset containing 5940 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Plan Aménagement et de Gestion Simplifié (PAGS) des forêts galeries des départements de l'Ouémé-Plateau. Data mobilized in the framework of a JRS Biodiversity Foundation project in Benin"
 ]
}

 The dataset includes 5940 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011230-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ypezy4
title: Occurrence Download

description: A dataset containing 1208 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Picea asperata Mast."
 ]
}

 The dataset includes 1208 records from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042497-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b4xxww
title: Occurrence Download

description: A dataset containing 42668554 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 42668554 records from 1654 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0101216-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dachf5
title: Occurrence Download

description: A dataset containing 3512 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Liquidambar formosana",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3512 records from 87 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052830-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30428677
title: Limnocorral GHG data

description: Measured surface concentrations and emissions of CO2, CH4, and N2O from limnocorrals installed in ponds at the Field Station for the University of Mississippi in Abbeville, MS USA. Data is for all treatments along a wide gradient of N loading and N:P in a triplicate experimental system. Dataset also includes water chemistry information and temperature/dissolved oxygen at the daily or weekly scale across the experiment.
DOI: 10.15468/dl.p8ufej
title: Occurrence Download

description: A dataset containing 93173 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Portugal",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Bubulcus ibis"
 ]
}

 The dataset includes 93173 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052809-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30428677.v1
title: Limnocorral GHG data

description: Measured surface concentrations and emissions of CO2, CH4, and N2O from limnocorrals installed in ponds at the Field Station for the University of Mississippi in Abbeville, MS USA. Data is for all treatments along a wide gradient of N loading and N:P in a triplicate experimental system. Dataset also includes water chemistry information and temperature/dissolved oxygen at the daily or weekly scale across the experiment.
DOI: 10.60493/1rnh4-g9g10
title: Bernau im Schwarzwald, Germany by Luisa  Schröder, Konrad Greinwald  - part of deadtrees.earth

description: The data have been collected for multiple studies.
DOI: 10.15468/dl.hjbxtc
title: Occurrence Download

description: A dataset containing 183931 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Vanellus vanellus",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 500",
 "CoordinateUncertaintyInMeters is null"
 ]
 },
 "Geometry POLYGON ((5.86673 46.96706, 14.94349 46.93301, 15.91031 55.15241, 5.057119 55.19419, 5.86673 46.96706))"
 ]
}

 The dataset includes 183931 records from 271 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052806-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/13479064
title: Mahanagar Yatayat Transport Dataset
DOI: 10.15468/dl.zmccfv
title: Occurrence Download

description: A dataset containing 1117 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Coendou prehensilis"
 ]
}

 The dataset includes 1117 records from 159 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052831-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.7258122
title: Data from: Nest orientation and proximity to snow patches are important for nest site selection of a cavity breeder at high elevation

description: Abstract

Reproductive timing and location are central to breeding success across taxa. Many species have evolved specific strategies to cope with environmental variability including shifts in timing of reproduction tracking resource availability or selecting favourable nest location. In mountain ecosystems, complex topography and pronounced seasonality result in particularly high spatiotemporal variability of environmental conditions, and the risk of climate-induced resource mismatches is particularly acute given that temperature is increasing more rapidly than in the lowlands.We investigated how a high-elevation passerine, the white-winged snowfinch Montifringilla nivalis, selects its nest site in relation to nest cavity characteristics, habitat composition and snow condition. We used a combination of field habitat mapping and satellite remote sensing to compare occupied nest sites with randomly selected pseudo-absence sites. In the first half of the breeding season, snowfinches preferred nest cavities oriented towards the morning sun while they used cavities proportional to their availability later on. This preference might relate to the nest microclimate offering eco-physiological advantages, namely thermoregulatory benefits for incubating adult and nestlings under the harsh conditions typically encountered in the alpine environment. Nest sites were consistently located in areas with greater-than-average snow cover at hatching date, likely mirroring the foraging preferences for tipulid larvae developing in meltwater along snowfields. Due to the particularly rapid climate shifts typical of mountain ecosystems, spatiotemporal mismatches between foraging grounds and nest sites are expected in the future, which may negatively influence demographic trajectories of the species concerned. The installation of well-designed nest boxes in optimal habitat configurations could to some extent help mitigate this risk.