cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.pkkwt5
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Casuarina equisetifolia",
 "Country is Peru",
 "HasCoordinate is true"
 ]
}

 The dataset includes 10 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078159-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gavtsd
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Salmo peristericus)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 6 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078157-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1409371.10fu
title: SH1409371.10FU

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/sh1409372.10fu
title: SH1409372.10FU

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/sh1409374.10fu
title: SH1409374.10FU

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/sh1409377.10fu
title: SH1409377.10FU

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/sh1409378.10fu
title: SH1409378.10FU

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/sh1409383.10fu
title: SH1409383.10FU

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/sh1409385.10fu
title: SH1409385.10FU

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: 10.5281/zenodo.17636598
title: TPSCF500: a long-term, monthly 500m snow cover frequency dataset over the Third Pole

description: The TPSCF500 provides monthly and annual 500m snow cover frequency (SCF) images in the GeoTIFF format over the Third Pole during 1950-2024. All values are stored in an integer type (Int16) for saving storage space, and need to be divided by 10000 to get the SCF values, whose range is 0-1. The background value of the SCF images is 20000. Annual SCF images are synthesized from monthly SCF data over the hydrological year, which spans September 1 to August 31 of the following year.
DOI: 10.15156/bio/sh1409387.10fu
title: SH1409387.10FU

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/sh1409389.10fu
title: SH1409389.10FU

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/sh1409390.10fu
title: SH1409390.10FU

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: 10.17632/89sc5m8y2z.1
title: DATA - IMPACTO DA INTELIGÊNCIA ARTIFICIAL NO PROCESSO DE TOMADA DE DECISÃO

description: COLETA DE DADOS

A coleta de dados foi realizada por meio da aplicação de um questionário, Apêndice B, com perguntas abertas, desenvolvido especificamente para atender aos objetivos da pesquisa. Esse instrumento foi selecionado por sua adequação à abordagem qualitativa, permitindo que os participantes expressem suas percepções, experiências e conhecimentos de forma livre e aprofundada, sem as restrições de opções pré-definidas (Creswell, 2010; Marconi; Lakatos, 2018). O questionário foi administrado de forma eletrônica, enviado por e-mail. A natureza dissertativa das questões visa capturar a riqueza de detalhes e as nuances das perspectivas dos militares, que, por possuírem conhecimento em Inteligência Artificial, podem oferecer insights valiosos sobre a interseção da IA com a gestão documental e o processo de tomada de decisão no contexto da Marinha do Brasil.
DOI: 10.3535/l2c-19v-nn1
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/d48-qa9-q86
title: Orthiopteris Copel.

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/vk7-bn0-30q
title: Orthiopteris Copel.

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/hqk-psp-rse
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/jww-7m3-j8x
title: Orthiopteris Copel.

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/430-c95-vxe
title: Rusa C. H. Smith, 1827

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/l1k-z9e-7hb
title: Voacanga Thouars

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.17632/ts4jbw9nft
title: Compilation and Alignment of Eukaryotic Arginyl-tRNA Synthetases

description: The compilation of eukaryotic arginyl-tRNA synthetase sequences was last updated in 2022. In the following years, the accumulated sequence data of this house-keeping gene product has permitted the manually curated addition of more than 3600 protein sequences to this collection. In a previous report, the molecular distinction between fungal and plant arginyl-tRNA synthetase was used to reveal fungal contamination in the plant transcriptome database (Igloi 2019). Unfortunately, although this observation referred to only a handful of examples, one cannot escape the realization that such, and similar, errors may be perpetuated, since the entries have not been corrected. Propagation, detection and correction of errors using the sequence database network is likely to be exacerbated with its exponential growth. 

Despite its modest size, this updated compilation of data from Arthropod, other Metazoan, non-Metazoan organisms, in addition to green plants, nevertheless, now permits a robust multiple protein sequence alignment and derived phylogenetic analysis. Phylogenetic clustering is sufficiently tight within taxonomic orders and classes to permit doubts concerning the identity of organisms that miscluster to be raised. The details of their source, feeding habits, parasites, predators as well as annotations of the sequence submitted to the database can then be examined more closely to speculate about misidentification, sample contamination or misannotation.

The compilation has been updated by BLASTN searches of the GenBank TSA databases for Arthropoda, Other Metazoans, Non-Metazoans and Green Plants (Embryophyta) (as of mid-2024). An update of Chordata and Fungi is no longer within the scope of manual curation. Following multiple sequence alignment, they were examined visually. In view of the established N-terminal sequence variation (Igloi 2020), N termini were not modified. Conspicuous internal insertions (rather than ones that are species-specific and confirmed by alignment) were apparent but not examined further. Their occurrence could be due to conceptually mis-spliced genomic data. Sequences that were more than approximately 10% C-terminally incomplete were removed from the alignment. The derived phylogenetic trees were visually examined and obvious misclustering was investigated further by BLASTP searches in GenBank protein database with the suspect sequence as query. Entries for Arthropoda, Metazoans and Non-Metazoans that were shown to be contaminants, misidentifications or of other questionable origin have been retained in the compilation and have also been grouped separately. Entries with evident contamination of the Plant TSA database [(as determined previously, (Igloi 2019)] have been removed from the compilation and been appended separately.

Igloi GL (2019) Plant Syst Evol 305:563–568. doi: 10.1007/s00606-019-01586-2
Igloi GL (2020) Gene Reports 20:100778. doi: 10.1016/j.genrep.2020.100778
DOI: 10.3535/fzk-k7f-t7f
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/met-07t-p78
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.17632/ts4jbw9nft.4
title: Compilation and Alignment of Eukaryotic Arginyl-tRNA Synthetases

description: The compilation of eukaryotic arginyl-tRNA synthetase sequences was last updated in 2022. In the following years, the accumulated sequence data of this house-keeping gene product has permitted the manually curated addition of more than 3600 protein sequences to this collection. In a previous report, the molecular distinction between fungal and plant arginyl-tRNA synthetase was used to reveal fungal contamination in the plant transcriptome database (Igloi 2019). Unfortunately, although this observation referred to only a handful of examples, one cannot escape the realization that such, and similar, errors may be perpetuated, since the entries have not been corrected. Propagation, detection and correction of errors using the sequence database network is likely to be exacerbated with its exponential growth. 

Despite its modest size, this updated compilation of data from Arthropod, other Metazoan, non-Metazoan organisms, in addition to green plants, nevertheless, now permits a robust multiple protein sequence alignment and derived phylogenetic analysis. Phylogenetic clustering is sufficiently tight within taxonomic orders and classes to permit doubts concerning the identity of organisms that miscluster to be raised. The details of their source, feeding habits, parasites, predators as well as annotations of the sequence submitted to the database can then be examined more closely to speculate about misidentification, sample contamination or misannotation.

The compilation has been updated by BLASTN searches of the GenBank TSA databases for Arthropoda, Other Metazoans, Non-Metazoans and Green Plants (Embryophyta) (as of mid-2024). An update of Chordata and Fungi is no longer within the scope of manual curation. Following multiple sequence alignment, they were examined visually. In view of the established N-terminal sequence variation (Igloi 2020), N termini were not modified. Conspicuous internal insertions (rather than ones that are species-specific and confirmed by alignment) were apparent but not examined further. Their occurrence could be due to conceptually mis-spliced genomic data. Sequences that were more than approximately 10% C-terminally incomplete were removed from the alignment. The derived phylogenetic trees were visually examined and obvious misclustering was investigated further by BLASTP searches in GenBank protein database with the suspect sequence as query. Entries for Arthropoda, Metazoans and Non-Metazoans that were shown to be contaminants, misidentifications or of other questionable origin have been retained in the compilation and have also been grouped separately. Entries with evident contamination of the Plant TSA database [(as determined previously, (Igloi 2019)] have been removed from the compilation and been appended separately.

Igloi GL (2019) Plant Syst Evol 305:563–568. doi: 10.1007/s00606-019-01586-2
Igloi GL (2020) Gene Reports 20:100778. doi: 10.1016/j.genrep.2020.100778
DOI: 10.3535/79b-8vt-q0j
title: Orthiopteris Copel.

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/bmp-78f-hvy
title: Bovidae Gray, 1821

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/640-l2s-z9d
title: Phyllolepidum Trinajstic

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/dnm-mka-czy
title: Cervidae Goldfuss, 1820

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/xam-j5j-gnv
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/2zf-w8k-s7j
title: Phyllolepidum Trinajstic

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/hgj-y1t-0zr
title: Rusa C. H. Smith, 1827

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.17632/tn972brm9s.2
title: Spatially Resolved Insights Into Fistulating Crohn's Disease Pathogenesis: Data Part 1

description: Supplementary data from "Spatially Resolved Insights Into Fistulating Crohn's Disease Pathogenesis". Includes Seurat RDS objects from single cell and Visium ST spatial analyses, bulk RNA-Seq analysis results, patient meta data, data tables and images.
DOI: 10.3535/0vk-ygh-22v
title: Orthiopteris Copel.

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/8dp-cr9-lee
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.g4nhka
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Luidia magnifica",
 "Country is Mexico",
 "HasCoordinate is true"
 ]
}

 The dataset includes 7 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020121-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/za5-6ek-w5a
title: Orthiopteris Copel.

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.