cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.ckb5bd
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Stipa diastrophica F.A.Roig"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0144802-230530130749713/datasets/export for details.
DOI: 10.15468/dl.vyo5zs
title: Occurrence Download

description: A dataset containing 1090 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "TaxonKey is Pleurophorus caesus (Panzer, 1796)"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1090 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040494-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fynay3
title: Occurrence Download

description: A dataset containing 49 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Blepharis serrulata (Nees) Ficalho & Hiern"
 ]
}

 The dataset includes 49 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057203-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ab3atc
title: Occurrence Download

description: A dataset listing the 35910 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Germany",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset's 35910 records were derived from 1510 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001741-210819072339941/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13786152
title: Datasets used for meta-analysis of parasite diversity in the Indian River Lagoon

description: There are four datasets. The datasets "all_crustacean_prev..." and "all_fish_prev..." contain data for parasite prevalence, abundance, and intensity extracted from the literature. The dataset "IRL meta-analysis..." contains all the raw data collected from the IRL that was used for comparison to data extracted from the literature.  Lastly, the dataset, "Moore et al. 2019...." is a previously unpublished dataset that was also used in the meta-analysis. 

The Word doc "Supplementary Bibliographic Information" contains the following: 1) a PRISMA flow diagram detailing how search records were evaluated in our meta-analysis; 2) bibliographic information for all studies that were excluded from the data extraction phase; and 3) full bibliographic information for all studies included in the final quantitative synthesis.
DOI: 10.5281/zenodo.13786153
title: Datasets used for meta-analysis of parasite diversity in the Indian River Lagoon

description: There are two datasets. The dataset "IRL meta-analysis..." contains all data used for the meta-analysis component of our paper. The second dataset, "Moore et al. 2019...." is a previously unpublished dataset that was also used in the meta-analysis.
DOI: 10.5281/zenodo.14224837
title: Datasets used for meta-analysis of parasite diversity in the Indian River Lagoon

description: There are four datasets. The datasets "all_crustacean_prev..." and "all_fish_prev..." contain data for parasite prevalence, abundance, and intensity extracted from the literature. The dataset "IRL meta-analysis..." contains all the raw data collected from the IRL that was used for comparison to data extracted from the literature.  Lastly, the dataset, "Moore et al. 2019...." is a previously unpublished dataset that was also used in the meta-analysis.
DOI: 10.5281/zenodo.15083352
title: Datasets used for meta-analysis of parasite diversity in the Indian River Lagoon

description: There are four datasets. The datasets "all_crustacean_prev..." and "all_fish_prev..." contain data for parasite prevalence, abundance, and intensity extracted from the literature. The dataset "IRL meta-analysis..." contains all the raw data collected from the IRL that was used for comparison to data extracted from the literature.  Lastly, the dataset, "Moore et al. 2019...." is a previously unpublished dataset that was also used in the meta-analysis. 

The Word doc "Supplementary Bibliographic Information" contains the following: 1) a PRISMA flow diagram detailing how search records were evaluated in our meta-analysis; 2) bibliographic information for all studies that were excluded from the data extraction phase; and 3) full bibliographic information for all studies included in the final quantitative synthesis.
DOI: 10.15468/dl.2m2pfu
title: Occurrence Download

description: A dataset containing 31975 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Danaus chrysippus (Linnaeus, 1758)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 31975 records from 160 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000307-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.je7ukc
title: Occurrence Download

description: A dataset listing the 2355 species recorded in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "TaxonKey is Tracheophyta",
 "Year is greater than or equal to 1980",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Specimen, Living Specimen)"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is Occurrence status unparsable"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than or equal to 6000",
 "CoordinateUncertaintyInMeters is null"
 ]
 },
 "PublishingOrg is 1928bdf0-f5d2-11dc-8c12-b8a03c50a862",
 "Geometry POLYGON ((4.609182 48.22344, 4.719545 48.316513, 4.890106 48.376346, 5.000469 48.436178, 5.000469 48.655564, 4.930238 48.708749, 4.940271 48.768581, 5.040601 48.768581, 5.050634 48.855006, 5.030568 48.994616, 4.940271 49.067744, 4.87004 49.140873, 4.819875 49.174113, 4.759677 49.134225, 4.739611 49.034504, 4.66938 48.98132, 4.559017 48.928135, 4.579083 48.828414, 4.649314 48.728693, 4.56905 48.662212, 4.448654 48.708749, 4.328258 48.708749, 4.298159 48.622324, 4.36839 48.555843, 4.448654 48.515955, 4.458687 48.39629, 4.36839 48.283273, 4.438621 48.216792, 4.609182 48.22344))"
 ]
}

 The dataset's 2355 records were derived from 87 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000298-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ae7mvy
title: Occurrence Download

description: A dataset containing 57 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((28.79681 -16.15765,29.31675 -16.67133,29.31988 -17.38234,29.89934 -17.26019,30.46001 -16.87179,30.37544 -15.54374,29.66756 -15.56253,28.98474 -15.78492,28.79681 -16.15765))",
 "OccurrenceStatus is Present",
 "TaxonKey is Amphibia"
 ]
}

 The dataset includes 57 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000309-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mt4vnk
title: Occurrence Download

description: A dataset listing the 3035 species recorded in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "TaxonKey is Tracheophyta",
 "Year is greater than or equal to 1980",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Specimen, Living Specimen)"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is Occurrence status unparsable"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than or equal to 6000",
 "CoordinateUncertaintyInMeters is null"
 ]
 },
 "PublishingOrg is 1928bdf0-f5d2-11dc-8c12-b8a03c50a862",
 "Geometry POLYGON ((0.300376 44.136506, 0.546826 44.05673, 0.583794 44.136506, 0.423601 44.242876, 0.633084 44.375837, 0.780954 44.420157, 0.780954 44.499934, 0.731664 44.677216, 0.509859 44.668352, 0.325021 44.650623, 0.164828 44.677216, -0.081623 44.641759, -0.217171 44.53539, -0.106268 44.464478, 0.016957 44.455614, 0.103215 44.384701, -0.02001 43.950361, 0.115538 43.888312, 0.300376 44.136506))"
 ]
}

 The dataset's 3035 records were derived from 132 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000300-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ttwthm
title: Occurrence Download

description: A dataset listing the 2337 species recorded in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "TaxonKey is Tracheophyta",
 "Year is greater than or equal to 1980",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Specimen, Living Specimen)"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is Occurrence status unparsable"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than or equal to 6000",
 "CoordinateUncertaintyInMeters is null"
 ]
 },
 "PublishingOrg is 1928bdf0-f5d2-11dc-8c12-b8a03c50a862",
 "Geometry POLYGON ((0.884469 46.044511, 0.993467 46.072293, 1.132193 46.037566, 1.251101 46.127855, 1.280828 46.204253, 1.270919 46.259816, 1.439372 46.273706, 1.439372 46.350105, 1.55828 46.37094, 1.588006 46.301487, 1.776277 46.377886, 1.687096 46.447339, 1.806004 46.516792, 1.964548 46.537628, 2.053729 46.655698, 2.024002 46.732096, 1.835731 46.766822, 1.677187 46.780713, 1.667278 46.725151, 1.796095 46.690424, 1.815913 46.634862, 1.627642 46.614026, 1.588006 46.530682, 1.429463 46.509846, 1.340282 46.468175, 1.300646 46.419558, 1.152011 46.426503, 1.112375 46.377886, 0.983558 46.377886, 0.943922 46.280652, 0.825015 46.329269, 0.755652 46.273706, 0.716016 46.162582, 0.616926 46.155636, 0.458382 46.127855, 0.37911 46.030621, 0.527745 45.940332, 0.706107 45.89866, 0.884469 46.044511))"
 ]
}

 The dataset's 2337 records were derived from 159 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000299-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.11570/25.0037
title: The resolved star-formation efficiency of early-type galaxies
DOI: 10.15468/dl.jr5q35
title: Occurrence Download

description: A dataset containing 9305 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Eremias kokshaaliensis Eremchenko & Panfilov, 1999, Eremias killasaifullahi Masroor, Khan, Nadeem, Amir, Khisroon & Jablonski, 2022, Eremias Fitzinger, 1834)"
 ]
}

 The dataset includes 9305 records from 75 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000310-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/q7b4-fs93
title: CMPASS Dataset

description: This paper introduces an aircraft engine remaining life prediction model based on an improved Transformer architecture (SBi-Transformer), addressing the computational inefficiencies and inadequate local temporal dependency capturing capabilities of the standard transformer model in processing long sequence data. The SBi-Transformer employs a dual-layer attention mechanism to reduce computational complexity and enhance local temporal dependencies. It eliminates the decoder component, directly using BiLSTM to model the time series of the encoder outputs, supplementing local temporal context information, and strengthening the forward and backward dependency modeling of degradation trends. Ultimately, the integrated global-local features are mapped to remaining useful life (RUL) prediction values through a fully connected layer. Experiments on NASA’s C-MAPSS dataset demonstrate that SBi-Transformer surpasses existing methods in prediction accuracy and uncertainty estimation. Ablation experiments validate the synergistic effects of the modules, indicating that the sparse attention mechanism and BiLSTM complementarily enhance model performance. The model exhibits strong adaptability and generalizability under complex operating conditions and multiple fault modes, with prediction result confidence intervals dynamically converging to the true degradation trajectory. This study provides an efficient and accurate solution for predicting the remaining life of aircraft engines, holding significant engineering application value
DOI: 10.15468/dl.8er3za
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Portugal",
 "TaxonKey is Iberochondrostoma lemmingii (Steindachner, 1866)",
 "Year 1975-2025"
 ]
}

 The dataset includes 8 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000311-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rg5xnm
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Saussurea costus (Falc.) Lipsch."
 ]
}

 The dataset includes 23 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000314-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5hjhe8
title: Occurrence Download

description: A dataset containing 7868 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is University of Amsterdam (NL) - Páramo Vegetation Research, Rabanal, Guerrero and Villa de Leyva paramo complex, Colombia"
 ]
}

 The dataset includes 7868 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000313-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9nygqm
title: Occurrence Download

description: A dataset containing 132 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cynops orphicus Risch, 1983"
 ]
}

 The dataset includes 132 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000315-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.twmwaw
title: Occurrence Download

description: A dataset containing 773579 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Vanellus indicus (Boddaert, 1783)"
 ]
}

 The dataset includes 773579 records from 114 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000293-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e77gbg
title: Occurrence Download

description: A dataset containing 1265400 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Carassius auratus (Linnaeus, 1758), Carassius carassius (Linnaeus, 1758), Ctenopharyngodon idella (Valenciennes, 1844), Cyprinus carpio Linnaeus, 1758, Esox lucius Linnaeus, 1758, Hypophthalmichthys molitrix (Valenciennes, 1844), Hypophthalmichthys nobilis (Richardson, 1845), Leuciscus idus (Linnaeus, 1758), Leuciscus leuciscus (Linnaeus, 1758), Micropterus salmoides (Lacepède, 1802))",
 "HasCoordinate is true",
 "DecimalLatitude is less than 60",
 "DecimalLatitude is greater than -56",
 "DecimalLongitude is less than 180",
 "DecimalLongitude is greater than -145"
 ]
}

 The dataset includes 1265400 records from 1198 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000304-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1159213.10fu
title: SH1159213.10FU

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/sh1159215.10fu
title: SH1159215.10FU

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/sh1159217.10fu
title: SH1159217.10FU

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/sh1159223.10fu
title: SH1159223.10FU

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/sh1159228.10fu
title: SH1159228.10FU

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.y4n3ef
title: Occurrence Download

description: A dataset containing 3250 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is one of (iNaturalist Research-grade Observations, PollardBase, eButterfly Surveys)",
 "GadmGid is USA.14.16_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Pieris rapae"
 ]
}

 The dataset includes 3250 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002726-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1159229.10fu
title: SH1159229.10FU

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.