cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/ald-cnm-224
title: †Orthis Dalman, 1828

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/q4x-g7k-z18
title: Crinoidea Miller, 1821

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/0m1-3dn-rba
title: †Dictyoclostus Muir-Wood, 1930

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/nna-3q0-8xd
title: Crinoidea Miller, 1821

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/pcr-4df-v7j
title: †Gryphaea Lamarck, 1801

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/17p-y9v-g1v
title: Mesalia Gray, 1847

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/3gz-dk5-z9h
title: †Nummulites Lamarck, 1801

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/cxl-kdj-g3n
title: Cephalopoda Cuvier, 1795

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/z88-k9k-zda
title: Crinoidea Miller, 1821

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.xy7vhv
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Amathia imbricata",
 "Country is Netherlands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020626-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/5sf-ptt-w1t
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/rcj-wae-s2j
title: Lenticulina nitida (d'Orbigny, 1826)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/k1x-71h-5qg
title: Gonionotites

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ntt-snx-v5k
title: Porifera Grant, 1836

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/6kg-27b-r2n
title: †Neorylstonia Vasseur, Boivin, Lathuilière, Lazar, Durlet, Martindale, Bodin & Elhmidi, 2019

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/lvk-86q-mwv
title: Ophiocoma L. Agassiz, 1836

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/rpq-p39-h2e
title: †Joannites cymbiformis (Wulfen, 1793)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/2q1-kv4-an7
title: Manticoceras

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/13x-d09-eew
title: †Siderolites calcitrapoides Lamarck, 1801

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/jr9-mpw-hpb
title: †Elrathia kingi (Meek, 1870)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/fwb-hza-317
title: †Spirifer Sowerby, 1818

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ppt-2pt-7ew
title: Neptunea despecta (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/gy6-s4z-k16
title: Terebratula Müller, 1776

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/yph-pky-44g
title: Crinoidea Miller, 1821

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/nv1-pwy-76f
title: Lingula Bruguière, 1791

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/pta-jeq-mvk
title: Cephalopoda Cuvier, 1795

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/cmr-2b5-0dn
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/hse-nsa-7yd
title: †Distichites harpalos (Dittmar, 1866)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/54w-we4-53a
title: †Micraster L. Agassiz, 1835

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.6084/m9.figshare.26380702
title: rEGEN-B database

description: The rEGEN-B (<i>rrn</i> operons Extracted from GENomes of Bacteria) database is dedicated to the ribosomal operon sequences of bacteria. The database contains 523,869 sequences, representing 16,217 species, with an average length of 4,580 bp. The database was filtered according to “high-confidence curation” criteria that were defined: (i) the sequences in the database only come from genomes with confident assembly levels (i.e. “chromosome” or “complete genome” status, but not “contig” nor “scaffold”), (ii) only sufficiently recent genomes were retained for operon sequence extraction (nothing before 2005), and (iii) the database was curated using the DB4Q2 pipeline (Dubois et al., 2022) to discard low-quality and misidentified sequences. To enable users with lower computational capabilities to utilize the rEGEN-B database in a more efficient way, a lighter version of the database has also been compiled by extracting only the first copy of the <i>rrn</i> operon in each genome (see the “uniq” label in the database files). This lighter database contains 115,032 <i>rrn </i>opeorn sequences.Database update (2025-01-15):rEGEN-B: 542,371 sequences, 15,903 speciesrEGEN-B_uniq: 115,727 sequences, 15,903 speciesThe rEGEN-B database was constructed as part of the PRONAME pipeline, which has been developed to process Nanopore metabarcoding data and to significantly increase its accuracy and usability. Thanks to an innovative approach combining different quality filtering steps, read clustering, error-correction with a tool specifically dedicated to Nanopore data and the valorization of duplex reads, the generated consensus sequences display at least 99.5% accuracy with default settings.Please refer to the project GitHub repository for detailed information: https://github.com/benn888/PRONAME<b>References</b>rEGEN-B databases<i>Dubois, B., Delitte, M., Lengrand, S., Bragard, C., Legrève, A., & Debode, F. (2024). PRONAME: a user-friendly pipeline to process long-read nanopore metabarcoding data by generating high-quality consensus sequences. </i><i>Frontiers in bioinformatics</i><i>, </i><i>4</i><i>, 1483255.</i>DB4Q2 pipeline<i>Dubois, B., Debode, F., Hautier, L., Hulin, J., Martin, G. S., Delvaux, A., et al. </i><i>(2022). A detailed workflow to develop QIIME2-formatted reference databases for taxonomic analysis of DNA metabarcoding data. </i><i>BMC Genom Data</i><i> 23, 53. doi: 10.1186/s12863-022-01067-5</i>
DOI: 10.6084/m9.figshare.26380702.v2
title: rEGEN-B database

description: The rEGEN-B (<i>rrn</i> operons Extracted from GENomes of Bacteria) database is dedicated to the ribosomal operon sequences of bacteria. The database contains 523,869 sequences, representing 16,217 species, with an average length of 4,580 bp. The database was filtered according to “high-confidence curation” criteria that were defined: (i) the sequences in the database only come from genomes with confident assembly levels (i.e. “chromosome” or “complete genome” status, but not “contig” nor “scaffold”), (ii) only sufficiently recent genomes were retained for operon sequence extraction (nothing before 2005), and (iii) the database was curated using the DB4Q2 pipeline (Dubois et al., 2022) to discard low-quality and misidentified sequences. To enable users with lower computational capabilities to utilize the rEGEN-B database in a more efficient way, a lighter version of the database has also been compiled by extracting only the first copy of the <i>rrn</i> operon in each genome (see the “uniq” label in the database files). This lighter database contains 115,032 <i>rrn </i>opeorn sequences.Database update (2025-01-15):rEGEN-B: 542,371 sequences, 15,903 speciesrEGEN-B_uniq: 115,727 sequences, 15,903 speciesThe rEGEN-B database was constructed as part of the PRONAME pipeline, which has been developed to process Nanopore metabarcoding data and to significantly increase its accuracy and usability. Thanks to an innovative approach combining different quality filtering steps, read clustering, error-correction with a tool specifically dedicated to Nanopore data and the valorization of duplex reads, the generated consensus sequences display at least 99.5% accuracy with default settings.Please refer to the project GitHub repository for detailed information: https://github.com/benn888/PRONAME<b>References</b>rEGEN-B databases<i>Dubois, B., Delitte, M., Lengrand, S., Bragard, C., Legrève, A., & Debode, F. (2024). PRONAME: a user-friendly pipeline to process long-read nanopore metabarcoding data by generating high-quality consensus sequences. </i><i>Frontiers in bioinformatics</i><i>, </i><i>4</i><i>, 1483255.</i>DB4Q2 pipeline<i>Dubois, B., Debode, F., Hautier, L., Hulin, J., Martin, G. S., Delvaux, A., et al. </i><i>(2022). A detailed workflow to develop QIIME2-formatted reference databases for taxonomic analysis of DNA metabarcoding data. </i><i>BMC Genom Data</i><i> 23, 53. doi: 10.1186/s12863-022-01067-5</i>
DOI: 10.15468/dl.9pvj5c
title: Occurrence Download

description: A dataset containing 338 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Asclepias curassavica",
 "Country is Guatemala",
 "HasCoordinate is true"
 ]
}

 The dataset includes 338 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078919-250717081556266/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.26380702.v1
title: rEGEN-B database

description: The rEGEN-B (<i>rrn</i> operons Extracted from GENomes of Bacteria) database is dedicated to the ribosomal operon sequences of bacteria. The database contains 523,869 sequences, representing 16,217 species, with an average length of 4,580 bp. The database was filtered according to “high-confidence curation” criteria that were defined: (i) the sequences in the database only come from genomes with confident assembly levels (i.e. “chromosome” or “complete genome” status, but not “contig” nor “scaffold”), (ii) only sufficiently recent genomes were retained for operon sequence extraction (nothing before 2005), and (iii) the database was curated using the DB4Q2 pipeline (Dubois et al., 2022) to discard low-quality and misidentified sequences. To enable users with lower computational capabilities to utilize the rEGEN-B database in a more efficient way, a lighter version of the database has also been compiled by extracting only the first copy of the <i>rrn</i> operon in each genome (see the “uniq” label in the database files). This lighter database contains 115,032 <i>rrn </i>opeorn sequences.The rEGEN-B database was constructed as part of the PRONAME pipeline, which has been developed to process Nanopore metabarcoding data and to significantly increase its accuracy and usability. Thanks to an innovative approach combining different quality filtering steps, read clustering, error-correction with a tool specifically dedicated to Nanopore data and the valorization of duplex reads, the generated consensus sequences display at least 99.5% accuracy with default settings.Please refer to the project GitHub repository for detailed information: https://github.com/benn888/PRONAME<br><i>Dubois, B., Debode, F., Hautier, L., Hulin, J., Martin, G. S., Delvaux, A., et al. </i><i>(2022). A detailed workflow to develop QIIME2-formatted reference databases for taxonomic analysis of DNA metabarcoding data. </i><i>BMC Genom Data</i><i> 23, 53. doi: 10.1186/s12863-022-01067-5</i>
DOI: 10.15468/dl.5m5927
title: Occurrence Download

description: A dataset containing 31 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Certhia familiaris)",
 "Country is one of (Bermuda, Canada, Greenland, Saint Pierre and Miquelon, United States of America)"
 ]
}

 The dataset includes 31 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078921-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e237004
title: CiteScore

description: The dataset has CiteScores for the top 400 journals
DOI: 10.3886/e237004v1
title: CiteScore

description: The dataset has CiteScores for the top 400 journals
DOI: 10.15468/dl.8jmhtr
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Tylochromis microdon)",
 "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 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078920-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1455996.10fu
title: SH1455996.10FU

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.18232708
title: The impact of AI technology stimuli on food waste behaviour

description: Experiment data will be available when publications will be published.
DOI: 10.15156/bio/sh1456001.10fu
title: SH1456001.10FU

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.18232707
title: The impact of AI technology stimuli on food waste behaviour

description: Experiment data will be available when publications will be published.
DOI: 10.15156/bio/sh1456015.10fu
title: SH1456015.10FU

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/sh1456030.10fu
title: SH1456030.10FU

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/sh1456064.10fu
title: SH1456064.10FU

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/sh1456130.10fu
title: SH1456130.10FU

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/sh1456141.10fu
title: SH1456141.10FU

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.52hjwz
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Caprimulgiformes)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((100 -40,110 -40,110 -30,100 -30,100 -40))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019545-251009101135966/datasets/export for details.
DOI: 10.15468/dl.ex4ss4
title: Occurrence Download

description: A dataset containing 259618 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is one of (EOD – eBird Observation Dataset, Observation.org, Nature data from around the World)",
 "GadmGid is SWE.13_1",
 "TaxonKey is Animalia",
 "Year 2023-2024"
 ]
}

 The dataset includes 259618 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019494-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.