cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.7uwbvd
title: Occurrence Download

description: A dataset containing 657 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Observation",
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Unknown evidence",
 "BasisOfRecord is Specimen"
 ]
 },
 "TaxonKey is Larix gmelinii (Rupr.) Kuzen."
 ]
}

 The dataset includes 657 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019299-181003121212138/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ccmyjz
title: Occurrence Download

description: A dataset containing 31857 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Astragalus monspessulanus L."
 ]
}

 The dataset includes 31857 records from 220 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0211502-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k33ptj
title: Occurrence Download

description: A dataset containing 36 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Dreissena rostriformis (Deshayes, 1838))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 36 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048869-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p5jkmh
title: Occurrence Download

description: A dataset containing 104081 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dysstroma truncata (Hufnagel, 1767)"
 ]
}

 The dataset includes 104081 records from 136 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019300-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wnxjs2
title: Occurrence Download

description: A dataset containing 94902 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "OccurrenceStatus is Present",
 "TaxonKey is Bombus terrestris (Linnaeus, 1758)",
 "Year 2010-2021"
 ]
}

 The dataset includes 94902 records from 211 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0203911-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gwz47z
title: Occurrence Download

description: A dataset containing 564 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "TaxonKey is Senna italica Mill.",
 "TaxonKey is Senna italica subsp. arachoides (Burch.) Lock",
 "TaxonKey is Senna ligustrina (L.) H.S.Irwin & Barneby"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 564 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019300-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m33wy4
title: Occurrence Download

description: A dataset containing 2348 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhizoprionodon acutus (Rüppell, 1837)"
 ]
}

 The dataset includes 2348 records from 67 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0203907-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tgmnh4
title: Occurrence Download

description: A dataset containing 185 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Androstachys johnsonii Prain"
 ]
}

 The dataset includes 185 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003285-210819072339941/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ypi6ux
title: Occurrence Download

description: A dataset containing 97 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Indigofera denudata Thunb.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 97 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019300-151016162008034/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k5naxx
title: Occurrence Download

description: A dataset containing 4692 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "TaxonKey is Senna obtusifolia (L.) H.S.Irwin & Barneby"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 4692 records from 195 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019303-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gapkyc
title: Occurrence Download

description: A dataset containing 17469 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Portugal",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Crassulaceae"
 ]
}

 The dataset includes 17469 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0193012-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e8s8hm
title: Occurrence Download

description: A dataset containing 183 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "CoordinateUncertaintyInMeters 0.0-1019.0",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "MediaType is Image",
 "TaxonKey is Arctostaphylos glauca Lindl."
 ]
}

 The dataset includes 183 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0203900-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eapvmk
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Côte d’Ivoire",
 "TaxonKey is Faidherbia albida (Delile) A.Chev."
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019303-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4lf0wo
title: Occurrence Download

description: A dataset containing 36 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Caryotophora skiatophytoides Leistner"
 ]
}

 The dataset includes 36 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019303-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ssfw3s
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Poa compressa L."
 ]
}

 The dataset includes 33 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0211488-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pd8ctl
title: Occurrence Download

description: A dataset containing 6386 species occurrences available in GBIF matching the query:
{
 "or" : [
 "TaxonKey is Charybdis feriata (Linnaeus, 1758)",
 "TaxonKey is Scylla serrata (Forskål, 1775)",
 "TaxonKey is Portunus pelagicus (Linnaeus, 1758)"
 ]
}

 The dataset includes 6386 records from 79 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019304-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3mc7jp
title: Occurrence Download

description: A dataset containing 118137 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sesleria Scop."
 ]
}

 The dataset includes 118137 records from 342 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0224418-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wtqrct
title: Occurrence Download

description: A dataset containing 4307 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "TaxonKey is Senna pendula (Humb. & Bonpl. ex Willd.) H.S.Irwin & Barneby"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 4307 records from 128 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019305-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8q847j
title: Occurrence Download

description: A dataset containing 765593 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Xeno-canto - Bird sounds from around the world"
 ]
}

 The dataset includes 765593 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006254-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25824/redu/od84e8
title: Espectrometria de massas, espectroscopia no infravermelho próximo e quimiometria para detecção da doença de Newcastle em material biológico coletado de frangos

description: Conjunto de dados utilizados para desenvolvimento dos modelos quimiométricos.
DOI: 10.15468/dl.prf8h9
title: Occurrence Download

description: A dataset containing 5057 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Solidago canadensis",
 "HasCoordinate is true",
 "Country is Belgium"
 ]
}

 The dataset includes 5057 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005077-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.snfv8o
title: Occurrence Download

description: A dataset containing 80 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Tremarctos ornatus (F.G.Cuvier, 1825)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 80 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028930-180131172636756/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.30305341
title: A Multimodal Dataset of Financial Disclosures, MD&A, and Audit Opinions with Next-Year Bankruptcy Labels

description: We publicly release a <b>multimodal dataset</b> derived from <b>10-K annual reports</b> to support research on <b>next-year bankruptcy prediction</b>. For each report, we collected all <b>reported financial figures</b>, the corresponding <b>Management Discussion & Analysis (MD&A)</b>, and the <b>Audit Opinion</b> text, along with a <b>bankruptcy label</b> indicating whether the company filed for bankruptcy in the year following the report’s release.This dataset is designed to encourage research in this challenging area by presenting several key difficulties, including:<b>Extreme class imbalance</b><b>Multimodality</b> — integration of both tabular and textual data<b>Multisource heterogeneity</b> — signals from the three sources may align or even contradict<b>NLP-related challenges</b> — long documents with substantial portions of text that may be irrelevant to the bankruptcy outcomeThis dataset accompanies our published paper in 6th ACM International Conference on AI in Finance with title "<b>A</b> <b>Multimodal Alignment-Based Anomaly Detection Method for Bankruptcy Prediction</b>"<br>Authors:Andreas SiderasKonstantinos BougiatiotisElias ZavitsanosGeorgios PaliourasGeorge Vouros
DOI: 10.6084/m9.figshare.30305341.v1
title: A Multimodal Dataset of Financial Disclosures, MD&A, and Audit Opinions with Next-Year Bankruptcy Labels

description: We publicly release a <b>multimodal dataset</b> derived from <b>10-K annual reports</b> to support research on <b>next-year bankruptcy prediction</b>. For each report, we collected all <b>reported financial figures</b>, the corresponding <b>Management Discussion & Analysis (MD&A)</b>, and the <b>Audit Opinion</b> text, along with a <b>bankruptcy label</b> indicating whether the company filed for bankruptcy in the year following the report’s release.This dataset is designed to encourage research in this challenging area by presenting several key difficulties, including:<b>Extreme class imbalance</b><b>Multimodality</b> — integration of both tabular and textual data<b>Multisource heterogeneity</b> — signals from the three sources may align or even contradict<b>NLP-related challenges</b> — long documents with substantial portions of text that may be irrelevant to the bankruptcy outcomeThis dataset accompanies our published paper in 6th ACM International Conference on AI in Finance with title "<b>A</b> <b>Multimodal Alignment-Based Anomaly Detection Method for Bankruptcy Prediction</b>"<br>Authors:Andreas SiderasKonstantinos BougiatiotisElias ZavitsanosGeorgios PaliourasGeorge Vouros
DOI: 10.13140/rg.2.1.2537.0082
title: Curriculum Evolution "Executive Diploma in Agricultural Management" Presentation to Syllabus Committee - FIAT UMK, Jeli Kampus on 22.10.2013
DOI: 10.15468/dl.wj7pcr
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Deutzia zhongdianensis"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061108-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0105544.10fu
title: SH0105544.10FU

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/sh0105545.10fu
title: SH0105545.10FU

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/sh0105546.10fu
title: SH0105546.10FU

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/sh0105547.10fu
title: SH0105547.10FU

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/sh0105548.10fu
title: SH0105548.10FU

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/sh0105549.10fu
title: SH0105549.10FU

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/sh0105550.10fu
title: SH0105550.10FU

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/sh0105551.10fu
title: SH0105551.10FU

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.