cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.16895258
title: Jeu de données HTR « Titres nobiliaires 17e-18e siècles »
title: HTR dataset « Titres nobiliaires 17th-18th centuries »

description: This HTR dataset contains transcriptions of historical documents (e.g., marriage certificates, proofs of nobility, etc.) dating from the 17th to the 18th century, mainly in French, from series M, title III ‘Titres nobiliaires’ (Noble Titles) of the French National Archives.
description: Ce dataset pour la reconnaissance des écritures automatiques est composé d'un mélange de transcriptions de documents du 17e-18 siècle (actes de mariage, preuves de noblesse etc.), essentiellement en français, et provenant de la série M, titre III "Titres nobiliaires" des Archives nationales de France.
DOI: 10.3535/0t3-ryw-bnf
title: Peneroplis Montfort, 1808

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/tk7-9sn-q3z
title: Foraminifera d'Orbigny, 1826

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/se8-34p-47q
title: Oridorsalis umbonatus (Reuss, 1851)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/nfy-rgr-xg8
title: Planispirinoides bucculentus (Brady, 1884)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/r5e-9p5-wet
title: Foraminifera d'Orbigny, 1826

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/0ar-8w0-a03
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/yxq-vne-2g9
title: Foraminifera d'Orbigny, 1826

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/jte-s9r-rc8
title: Foraminifera d'Orbigny, 1826

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/rzw-1kf-1pj
title: Cytherella Jones, 1849

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/dvt-501-yy4
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.sym7s3
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pyrgulina fischeri",
 "Country is Israel",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019481-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/jp0-18k-rqd
title: Gabonella Uvarov, 1940

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/vaz-3z7-mkz
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/efw-gc5-qfy
title: †Rotalia Lamarck, 1804

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ftr-d2b-3zf
title: Ostracoda Latreille, 1802

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15156/bio/sh1400831.10fu
title: SH1400831.10FU

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/sh1400834.10fu
title: SH1400834.10FU

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/sh1400839.10fu
title: SH1400839.10FU

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/sh1400843.10fu
title: SH1400843.10FU

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/sh1400847.10fu
title: SH1400847.10FU

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/sh1400853.10fu
title: SH1400853.10FU

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/sh1400857.10fu
title: SH1400857.10FU

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/sh1400913.10fu
title: SH1400913.10FU

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/sh1400939.10fu
title: SH1400939.10FU

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/sh1400949.10fu
title: SH1400949.10FU

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.qz93xg
title: Occurrence Download

description: A dataset containing 811 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Trapa L."
 ]
}

 The dataset includes 811 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007469-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yjka7e
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Monoplacophora)",
 "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((-30 40,-20 40,-20 50,-30 50,-30 40))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024459-251009101135966/datasets/export for details.
DOI: 10.15468/dl.vmxznu
title: Occurrence Download

description: A dataset containing 334 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Clelia clelia",
 "Country is Colombia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 334 records from 96 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004982-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bpgkc3
title: Occurrence Download

description: A dataset containing 1236 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Material sample, Specimen)",
 "Geometry POLYGON((-98.8254 31.98344,-113.54429 35.66316,-115.78412 28.4637,-115.14417 19.50437,-102.02516 12.62489,-87.78622 10.22507,-84.1065 11.50497,-80.58676 15.1847,-82.66661 19.82435,-98.8254 31.98344))",
 "TaxonKey is Baiomys musculus",
 "Year 1970-2026"
 ]
}

 The dataset includes 1236 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004985-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nb3t8v
title: Occurrence Download

description: A dataset containing 797 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Clusia alata",
 "Country is Colombia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 797 records from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004987-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34847/nkl.d59bys5o
title: Al-Ukhdud Archives (MAFSU, April 2025) - Dataset - Database of stratigraphic units

description: Al-Ukhdud, Archive of the 1st field season (April 2025) - Dataset - Database of stratigraphic units
DOI: 10.6084/m9.figshare.29043668
title: R codes for the analyses

description: R codes used in each of the experiments
DOI: 10.6084/m9.figshare.29043668.v4
title: R codes for the analyses

description: R codes used in each of the experiments
DOI: 10.6084/m9.figshare.29043668.v3
title: R codes for the analyses

description: R codes used in each of the experiments
DOI: 10.15468/dl.68yzku
title: Occurrence Download

description: A dataset containing 134 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Clusia ellipticifolia",
 "Country is Colombia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 134 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004990-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34847/nkl.d7d46tq9
title: Données brutes issues d'expérimentations sur le transport des vestiges archéologiques par ruissellement

description: Ce dépôt contient des données brutes en lien avec les expérimentations réalisées par M. Thomas et al. sur le transport des vestiges archéologiques par ruissellement. L'article présentant ces travaux a été soumis en juin 2023 à la revue PALEO.

Le fichier "raw_data.csv" contient les décomptes bruts des expérimentations. 

Le fichier "raw_data_file_description.docx" est un fichier de métadonnées décrivant les colonnes de "raw_data.csv".

Le fichier "EXPE_GCP.txt" contient les coordonnées, prises avec un tachéomètre laser, des cibles photogrammétriques fixés sur les rails au sol de la cellule expérimentale.

Les fichiers .zip contiennent l'ensemble des photographies prises pour chaque expérimentation, dans des sous-dossiers "GP1", "GP2" et "GP3" pour les photographies prises par les caméras GoPro, et dans des sous-dossiers "PG_AVANT" et "PG_APRES" pour les relevés photogrammétriques réalisées avant et après les expérimentations.
DOI: 10.5065/d6pg1qdd
title: NCEP/EMC 4KM Gridded Data (GRIB) Stage IV Data. Version 1.0

description: The Stage IV analysis is based on the multi-sensor hourly/6-hourly 'Stage III' analyses (on local 4km polar-stereographic grids) produced by the 12 River Forecast Centers (RFCs) in CONUS. NCEP mosaics the Stage III into a national product (the Stage IV). Hourly, 6-hourly and 24-hourly (accumulated from the 6-hourly) analyses are available. The Stage IV differs from the NCEP Stage II chiefly in that the NCEP Stage II contains no manual quality control (QC), while the Stage IV benefits from manual QC performed on the Stage III data at the RFCs. As of April 2017 this data includes Alaska and Puerto Rico stations. As of 20 July 2020, data file formats changed from GRIB1 to GRIB2, with similar name changes (e.g., *.grb2). Starting on 20 July 2020, the GRIB1 files may not have complete data. Please refer to the GRIB2 files instead.
DOI: 10.15468/dl.ahjamb
title: Occurrence Download

description: A dataset containing 72 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Clusia inesiana",
 "Country is Colombia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 72 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004993-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26023/tp7s-nn1j-g304
title: NCEP/EMC U.S. Gage Only Hourly Precipitation Data. Version 1.1

description: The Environmental Modeling Center (EMC), a component of the National Centers for Environmental Prediction (NCEP) acquires precipitation reports in near real-time from several thousand sites across the contiguous 48 states of the USA. Approximately 3000 automated, hourly rain gage observations are available in the US via the GOES Data Collection Platform (DCP) administered by the NWS Office of Hydrology (OH). These hourly reports are transmitted continuously throughout the day to NCEP in a SHEF-encoded message. This dataset contains the NCEP Hourly Precipitation Gage Data. This dataset is provided as is and was not quality controlled by NCAR/EOL (formerly UCAR/JOSS).
DOI: 10.15468/dl.ymed2d
title: Occurrence Download

description: A dataset containing 1562 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Vespa bicolor"
 ]
}

 The dataset includes 1562 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004996-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26023/z8aq-dbt0-4010
title: NCEP/EMC U.S. Gage Only Daily Precipitation Data. Version 1.0

description: The Environmental Modeling Center (EMC), a component of the National Centers for Environmental Prediction (NCEP) acquires gage-based precipitation reports in near real-time from several thousand sites across the contiguous 48 states of the USA. There are approximately 5,800 daily rain gage reports per day out of a total available set of 9,000. These daily precipitation reports are collected by the 12 River Forecast Centers (RFC) and sent to NCEP. This dataset contains the NCEP Daily Precipitation Gage Data. This dataset is provided as is and was not quality controlled by NCAR/EOL (formerly UCAR/JOSS).
DOI: 10.15468/dl.swyfwn
title: Occurrence Download

description: A dataset containing 1982897 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "DistanceFromCentroidInMeters is greater than or equal to 2000",
 "TaxonKey is Clupea pallasii"
 ]
}

 The dataset includes 1982897 records from 75 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004885-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.