cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1065712.10fu
title: SH1065712.10FU

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/sh1065713.10fu
title: SH1065713.10FU

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/sh1065714.10fu
title: SH1065714.10FU

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/sh1065720.10fu
title: SH1065720.10FU

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/sh1065721.10fu
title: SH1065721.10FU

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/sh1065725.10fu
title: SH1065725.10FU

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/sh1065731.10fu
title: SH1065731.10FU

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/sh1065733.10fu
title: SH1065733.10FU

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/sh1065735.10fu
title: SH1065735.10FU

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.xpbt6b
title: Occurrence Download

description: A dataset containing 229204 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pilosella officinarum Vaill.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than or equal to 20000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 229204 records from 850 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010615-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-1557
title: Seiatel' istiny = The sower of truth, vol. 15, no. 2 (February 1930)

description: [description english/roman)] Monthly
DOI: 10.15468/dl.7xgabj
title: Occurrence Download

description: A dataset containing 2225792 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Asio flammeus (Pontoppidan, 1763), Asio otus (Linnaeus, 1758), Athene noctua (Scopoli, 1769), Bubo bubo (Linnaeus, 1758), Strix aluco Linnaeus, 1758, Strix nebulosa J.R.Forster, 1772, Strix uralensis Pallas, 1771, Surnia ulula (Linnaeus, 1758), Tyto alba (Scopoli, 1769), Bubo scandiacus (Linnaeus, 1758), Otus cyprius (Madarász, 1901), Otus scops (Linnaeus, 1758), Bubo scandiaca (Linnaeus, 1758))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "or" : [
 "GadmGid is ALB",
 "GadmGid is AND",
 "GadmGid is AUT",
 "GadmGid is BEL",
 "GadmGid is BUL",
 "GadmGid is BIH",
 "GadmGid is BLR",
 "GadmGid is CHE",
 "GadmGid is CYP",
 "GadmGid is CZE",
 "GadmGid is DEU",
 "GadmGid is DNK",
 "GadmGid is ESP",
 "GadmGid is EST",
 "GadmGid is FIN",
 "GadmGid is FRA",
 "GadmGid is GBR",
 "GadmGid is GRC",
 "GadmGid is HRV",
 "GadmGid is HUN",
 "GadmGid is IRL",
 "GadmGid is ISL",
 "GadmGid is ITA",
 "GadmGid is LIE",
 "GadmGid is LTU",
 "GadmGid is LUX",
 "GadmGid is LVA",
 "GadmGid is MCO",
 "GadmGid is MDA",
 "GadmGid is MKD",
 "GadmGid is MLT",
 "GadmGid is MNE",
 "GadmGid is NLD",
 "GadmGid is NOR",
 "GadmGid is POL",
 "GadmGid is PRT",
 "GadmGid is ROU",
 "GadmGid is RUS",
 "GadmGid is SJM",
 "GadmGid is SMR",
 "GadmGid is SRB",
 "GadmGid is SVK",
 "GadmGid is SVN",
 "GadmGid is SWE",
 "GadmGid is TUR",
 "GadmGid is UKR",
 "GadmGid is VAT",
 "GadmGid is XKO"
 ]
 }
 ]
}

 The dataset includes 2225792 records from 2765 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0079543-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15715550
title: Maps of the spanish agrarian census (1982-1989-1999-2009-2020)

description: Spatially explicit maps of the Spanish agrarian census from 1982-1989-1999-2009, and 2020. This research is part of the project INFORICAM (PID2020-119402RB-I00), funded by the Agencia Estatal de Investigación MCIN/AEI/10.13039/501100011033 and by the European Union.
DOI: 10.15468/dl.pmnu9c
title: Occurrence Download

description: A dataset containing 2268 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Neottia cordata (L.) Rich.",
 "Geometry POLYGON((-8.00174339329464 54.1998526673513, 0.202120938926891 54.1998526673513, 0.202120938926891 61.2628565887411, -8.00174339329464 61.2628565887411, -8.00174339329464 54.1998526673513))",
 "CoordinateUncertaintyInMeters is 0,101",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2268 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071590-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15716277
title: Dataset  for fire hazard estimation in the National Park of Cabañeros (Spain) by using LiDAR PNOA data

description: Dataset of input variables for fire hazard estimation in Cabañeros National Park (Spain), derived from PNOA LiDAR data and processed using FlamMap software. The dataset is complemented by Víctor Cuevas' Master's thesis, which provides an in-depth explanation of the main results. This research is part of the project INFORICAM (PID2020-119402RB- I00), funded by the Agencia Estatal de Investigación MCIN/AEI/10.13039/501100011033 and by the European Union.
DOI: 10.5281/zenodo.15716278
title: Dataset  for fire hazard estimation in the National Park of Cabañeros (Spain) by using LiDAR PNOA data

description: Dataset of input variables for fire hazard estimation in Cabañeros National Park (Spain), derived from PNOA LiDAR data and processed using FlamMap software. The dataset is complemented by Víctor Cuevas' Master's thesis, which provides an in-depth explanation of the main results. This research is part of the project INFORICAM (PID2020-119402RB- I00), funded by the Agencia Estatal de Investigación MCIN/AEI/10.13039/501100011033 and by the European Union.
DOI: 10.34847/nkl.1209u49z
title: Corpus pour l'évaluation des biais de genre dans les systèmes de traduction
title: Corpus for measuring gender bias in translation systems

description: Corpus collecté dans le cadre du projet NeuroViz (financement DIM RFSI et Région Ile-de-France)
Collecte et traduction réalisées par Lichao Zhu (CLILLAC-ARP, Université Paris Cité), Nicolas 
Ballier (CLILLAC-ARP, Université Paris Cité), Guillaume Wisniewksi (LLF, Université Paris Cité) et François Yvon (ISIR, Sorbonne Université)

Plus d'information : http://dx.doi.org/10.18653/v1/2022.blackboxnlp-1.13

Merci de citer http://dx.doi.org/10.18653/v1/2022.blackboxnlp-1.13 si vous utilisez ce corpus
DOI: 10.15468/dl.egak5d
title: Occurrence Download

description: A dataset containing 74 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is The subfamily Attageninae (Coleoptera, Dermestidae) from Saudi Arabia"
 ]
}

 The dataset includes 74 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071591-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yav2bu
title: Occurrence Download

description: A dataset containing 226 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "Geometry POLYGON((-8.77389 39.87085,-8.60344 39.87085,-8.60344 39.98537,-8.77389 39.98537,-8.77389 39.87085))",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is one of (NT, LC, EN)",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 226 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071593-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60686/t-fsd3977
title: FSD3977 EVA Survey on Finnish Values and Attitudes Autumn 2024
DOI: 10.5281/zenodo.12759659
title: Mutualisms within light microhabitats are associated with sensory convergence in a mimetic butterfly community - data

description: All raw data, R analysis code, visual modelling templates, raw spectral data, hemispherical photography images, forewing images, eyeshine video recordings, eye cuticle images and ODA output, confocal microscopy scans, 3D brain reconstructions used in our analyses (Wainwright et al. 2024).
DOI: 10.5281/zenodo.12759660
title: Mutualisms within light microhabitats are associated with sensory convergence in a mimetic butterfly community - data

description: All raw data, R analysis code, visual modelling templates, raw spectral data, hemispherical photography images, forewing images, eyeshine video recordings, eye cuticle images and ODA output, confocal microscopy scans, 3D brain reconstructions used in our analyses (Wainwright et al. 2024).
DOI: 10.15468/dl.5vtr6m
title: Occurrence Download

description: A dataset containing 338 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "EstablishmentMeans is introduced",
 "Geometry POLYGON((-4.77649 48.49394,-4.50623 47.86322,-2.34419 47.49932,-1.12803 46.42343,-0.81274 45.32588,4.5023 44.23892,6.93461 45.2625,5.94367 46.29909,6.97965 48.34447,4.68247 48.49394,2.47538 49.17584,0.04308 48.85087,-1.53342 48.52378,-4.77649 48.49394))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 338 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071594-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fzut8h
title: Occurrence Download

description: A dataset containing 261 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (India, China, Myanmar, Bhutan, Pakistan, Bangladesh, Nepal, Afghanistan)",
 "TaxonKey is Lethe chandica (Moore, 1857)"
 ]
}

 The dataset includes 261 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071595-250525065834625/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.29424293
title: <b>Comparison of Hold-Relax Technique and Static Stretching on Hamstring Flexibility in Non-Athlete Adults: A Randomized Controlled Trial</b>

description: Abstract Background: Hamstring flexibility is crucial for preventing musculoskeletal injuries, yet comparative studies in non-athletes are limited. Objective: This mixed-methods study compared the effectiveness of hold-relax (HR) proprioceptive neuromuscular facilitation versus static stretching (SS) on hamstring flexibility in non-athlete adults, incorporating participant perceptions. Methods: Twenty healthy non-athlete males (aged 20–36 years) were randomly assigned to an HR (n=10) or SS (n=10) group for a 6-week intervention. Hamstring flexibility was measured using the sit-and-reach test. Semi-structured interviews explored participant experiences. Paired and unpaired t-tests analyzed quantitative differences (p&lt;0.05), and thematic analysis evaluated qualitative data. Results: Both groups improved significantly (p&lt;0.05). The HR group showed greater mean improvement (7.2±3.10 cm) than the SS group (4.3±2.7 cm, t=0.834). Qualitative findings revealed HR participants reported higher engagement and perceived effectiveness, while SS participants valued simplicity but noted lower motivation. Conclusions: HR is more effective than SS for improving hamstring flexibility, with qualitative insights highlighting its engaging nature. This mixed-methods approach supports HR’s utility in rehabilitation. Future research should explore physiological mechanisms and broader populations.
DOI: 10.6084/m9.figshare.29424293.v1
title: <b>Comparison of Hold-Relax Technique and Static Stretching on Hamstring Flexibility in Non-Athlete Adults: A Randomized Controlled Trial</b>

description: Abstract Background: Hamstring flexibility is crucial for preventing musculoskeletal injuries, yet comparative studies in non-athletes are limited. Objective: This mixed-methods study compared the effectiveness of hold-relax (HR) proprioceptive neuromuscular facilitation versus static stretching (SS) on hamstring flexibility in non-athlete adults, incorporating participant perceptions. Methods: Twenty healthy non-athlete males (aged 20–36 years) were randomly assigned to an HR (n=10) or SS (n=10) group for a 6-week intervention. Hamstring flexibility was measured using the sit-and-reach test. Semi-structured interviews explored participant experiences. Paired and unpaired t-tests analyzed quantitative differences (p&lt;0.05), and thematic analysis evaluated qualitative data. Results: Both groups improved significantly (p&lt;0.05). The HR group showed greater mean improvement (7.2±3.10 cm) than the SS group (4.3±2.7 cm, t=0.834). Qualitative findings revealed HR participants reported higher engagement and perceived effectiveness, while SS participants valued simplicity but noted lower motivation. Conclusions: HR is more effective than SS for improving hamstring flexibility, with qualitative insights highlighting its engaging nature. This mixed-methods approach supports HR’s utility in rehabilitation. Future research should explore physiological mechanisms and broader populations.
DOI: 10.15468/dl.ud76us
title: Occurrence Download

description: A dataset containing 221741 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Dioscorea acanthogene Rusby, Dioscorea bartlettii C.V.Morton, Dioscorea campestris Griseb., Dioscorea communis (L.) Caddick & Wilkin, Dioscorea convolvulacea Schltdl. & Cham., Dioscorea cordata (L.) Raz, Dioscorea cotinifolia Kunth, Dioscorea dodecaneura Vell., Dioscorea glandulosa (Griseb.) Klotzsch ex Kunth, Dioscorea marginata Griseb., Dioscorea mexicana Scheidw., Dioscorea ovata Vell., Dioscorea pilosiuscula Bertero ex Spreng., Dioscorea piperifolia Humb. & Bonpl. ex Willd., Dioscorea polygonoides Humb. & Bonpl. ex Willd., Dioscorea racemosa (Klotzsch) Mottet, Dioscorea sylvatica Eckl.)",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 221741 records from 2043 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071582-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.