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

description: A dataset containing 200 species occurrences available in GBIF matching the query:
{
 "or" : [
 "TaxonKey is Lychnophora bahiensis Mattf.",
 "TaxonKey is Lychnophora rosmarinifolia Mart."
 ]
}

 The dataset includes 200 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0181464-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e8mjmr
title: Occurrence Download

description: A dataset containing 858 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Ceyx azureus azureus"
 ]
}

 The dataset includes 858 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011240-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jy3ezf
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Atriplex imbricata var. imbricata"
 ]
}

 The dataset includes 26 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031580-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gszv33
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "or" : [
 "TaxonKey is Sapucaya schwackei R.Knuth",
 "TaxonKey is Lecythis schwackei (R.Knuth) S.A.Mori"
 ]
}

 The dataset includes 20 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0181460-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v94a7b
title: Occurrence Download

description: A dataset containing 267 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Sarothrura boehmi Reichenow, 1900"
 ]
}

 The dataset includes 267 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007002-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7e64hz
title: Occurrence Download

description: A dataset containing 795989 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Juncus effusus L."
 ]
}

 The dataset includes 795989 records from 971 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004573-210819072339941/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u0r1tw
title: Occurrence Download

description: A dataset containing 7413 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Coccyzus melacoryphus Vieillot, 1817"
 ]
}

 The dataset includes 7413 records from 76 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031580-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hu8tgy
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Rhipidura tenebrosa E.P.Ramsay, 1882"
 ]
}

 The dataset includes 46 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007104-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fi3kbh
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Atriplex madariagae Phil."
 ]
}

 The dataset includes 13 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031581-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mg3hy9
title: Occurrence Download

description: A dataset containing 600 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "TaxonKey is Alternanthera porrigens (Jacq.) Kuntze"
 ]
}

 The dataset includes 600 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0172825-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xbvxgn
title: Occurrence Download

description: A dataset containing 7497 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Viburnum L.",
 "BasisOfRecord is one of (Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Continent is North America"
 ]
}

 The dataset includes 7497 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0159437-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xdbbeb
title: Occurrence Download

description: A dataset containing 60 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ficus cassidyana Elmer"
 ]
}

 The dataset includes 60 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007043-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zljyit
title: Occurrence Download

description: A dataset containing 162 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Atriplex taltalensis I.M.Johnst."
 ]
}

 The dataset includes 162 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031582-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5m6s9x
title: Occurrence Download

description: A dataset containing 3048 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sambucus L.",
 "BasisOfRecord is one of (Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Continent is North America"
 ]
}

 The dataset includes 3048 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0159436-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7jg88k
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Frangula pedunculata F.K.Mey."
 ]
}

 The dataset includes 6 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007092-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.obsmjm
title: Occurrence Download

description: A dataset containing 1689882 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-162.21094 -9.66797,-43.80468 -9.66797,-43.80468 77.80078,-162.21094 77.80078,-162.21094 -9.66797))",
 "TaxonKey is Streptopelia decaocto (Frivaldszky, 1838)"
 ]
}

 The dataset includes 1689882 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031582-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2xc7uf
title: Occurrence Download

description: A dataset containing 146 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "TaxonKey is Alternanthera pubiflora (Benth.) Kuntze"
 ]
}

 The dataset includes 146 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0172824-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f58guc
title: Occurrence Download

description: A dataset containing 272 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "TaxonKey is Anolis nebuloides Bocourt, 1873",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 272 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031583-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q4zgvf
title: Occurrence Download

description: A dataset containing 354 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aleurocanthus spiniferus (Quaintance, 1903)"
 ]
}

 The dataset includes 354 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007044-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9u67b5
title: Occurrence Download

description: A dataset containing 459 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tragelaphus imberbis (Blyth, 1869)"
 ]
}

 The dataset includes 459 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0172827-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qj4r85
title: Occurrence Download

description: A dataset containing 3324 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Abelmoschus moschatus (L.) Medik.)"
 ]
}

 The dataset includes 3324 records from 200 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007032-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1105790.10fu
title: SH1105790.10FU

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: 10.48331/scielodata.k9zm5c/rku47l
title: camara_empreendedor_completo.xlsx
DOI: 10.15156/bio/sh1105791.10fu
title: SH1105791.10FU

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: 10.48331/scielodata.k9zm5c/8yqp6i
title: camara_programa_minha_primeira_empresa_completo.tab
DOI: 10.15156/bio/sh1105796.10fu
title: SH1105796.10FU

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: 10.48331/scielodata.k9zm5c/6jhrl1
title: camara_aprovadas_empreendedor_completo.xlsx
DOI: 10.48331/scielodata.k9zm5c/uwhdwp
title: camara_startup_completo.xlsx
DOI: 10.15156/bio/sh1105798.10fu
title: SH1105798.10FU

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/sh1105799.10fu
title: SH1105799.10FU

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/sh1105800.10fu
title: SH1105800.10FU

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: 10.48331/scielodata.k9zm5c/uxgif3
title: camara_aprovadas_microcredito_completo.xlsx
DOI: 10.48331/scielodata.k9zm5c/d9zkwr
title: Readme-20251209_v3.txt
DOI: 10.15156/bio/sh1105804.10fu
title: SH1105804.10FU

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: 10.48331/scielodata.k9zm5c
title: Base de dados: Políticas públicas de empreendedorismo: Uma análise da agenda legislativa brasileira entre 2011 e 2024.

description: Objetivo: Caracterizar as propostas de políticas públicas de empreendedorismo que tramitaram no Congresso Nacional entre os anos de 2011 e 2024. Metodologia: As proposições foram coletadas por meio do pacote Selenium da linguagem Python, organizadas e classificadas pelos autores com base em uma tipologia de políticas públicas de empreendedorismo. Em sequência, análises descritivas foram realizadas com base na data da proposta, tipo e partido do deputado proponente. Este último elemento foi importante para compreender como ocorre a evolução do tema em diferentes tipos, bem como são representados dentro de espectros políticos. Resultados: O período de 2019 a 2023 apresentou mais proposições e as temáticas mais frequentes pelos autores das políticas foram “medidas para grupos específicos” e “barreiras de entrada e saída”. O espectro de direita possui mais legisladores tratando dos temas que abordam o empreendedorismo, sobretudo aqueles ligados aos temas de “barreiras de entrada e saída” e “financiamento”. Contribuições teóricas/metodológicas: Destaca-se o uso da coleta de dados por meio de web scraping e da classificação dos projetos em andamento de acordo uma tipologia de políticas públicas de empreendedorismo. Relevância/originalidade: Fornecer evidências sobre as fases iniciais da formulação de políticas públicas, suprindo uma lacuna presente na literatura. Contribuições sociais / para a gestão: Apontar que a maior parte das políticas se concentra em medidas reativas para suprir demandas de grupos específicos, e não em ações que podem gerar condições competitivas de longo prazo, como inovação e infraestrutura.
DOI: 10.15156/bio/sh1105805.10fu
title: SH1105805.10FU

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/sh1105807.10fu
title: SH1105807.10FU

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.