cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.g8pjjt
title: Occurrence Download

description: A dataset containing 75916 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "TaxonKey is Pinus"
 ]
}

 The dataset includes 75916 records from 360 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032529-250717081556266/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.29625380
title: Data set S1

description: the data is of <b>Analysis of Physical and Mechanical Properties of Loess in Micro Layer during Moisture Absorption Process based on Atomic Force Bicroscope.</b>
DOI: 10.6084/m9.figshare.29625380.v1
title: Data set S1

description: the data is of <b>Analysis of Physical and Mechanical Properties of Loess in Micro Layer during Moisture Absorption Process based on Atomic Force Bicroscope.</b>
DOI: 10.15468/dl.sy7awv
title: Occurrence Download

description: A dataset containing 2672 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Medicago minima",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2672 records from 78 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032615-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pkum9a
title: Occurrence Download

description: A dataset containing 1916 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Diplospinus multistriatus"
 ]
}

 The dataset includes 1916 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032614-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cxcrm7
title: Occurrence Download

description: A dataset containing 22489 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((21.70987 -31.64471, 22.92195 -31.64471, 22.92195 -30.60691, 21.70987 -30.60691, 21.70987 -31.64471))"
 ]
}

 The dataset includes 22489 records from 76 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032612-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dmfz9a
title: Occurrence Download

description: A dataset listing the 1249 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((109.04485 -7.63003,109.52505 -7.63003,109.52505 -7.3104,109.04485 -7.3104,109.04485 -7.63003))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 1249 records were derived from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032593-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vund4w
title: Occurrence Download

description: A dataset containing 596 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phytolacca dioica",
 "Country is South Africa",
 "HasCoordinate is true"
 ]
}

 The dataset includes 596 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032617-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.23708/sn2t4a
title: VCF files from the study of low recombining genomic regions in pearl millet

description: We conducted a comprehensive investigation of large low-recombining regions in cultivated populations of pearl millet, an outcrossing diploid African cereal. We adopted a population genomic approach based on the analysis of single nucleotide polymorphisms. The repository contains the VCF files generated for three datasets: a Senegalese (126 accessions, exome sequencing, 76,018 SNPs), an African (125 wild and cultivated accessions from Western, Central and Eastern Africa, whole genome sequencing, 25,969,513 SNPs) and a temporal dataset (377 accessions from 1976 and 2016, exome sequencing, 39,672 SNPs). We studied seven large regions ranging from 5 to 88 Mb. These regions exhibit an excess of heterozygotes, a distinctive hallmark of overdominance. They displayed a tendency towards a higher diversity and ratio of non-synonymous and deleterious variants. A total of 17% of the cultivated pearl millet genome exhibits a local population structure suggestive of overdominance or possibly pseudo-overdominance. Our empirical results contribute to the accumulation of knowledge that will enhance our understanding of the potential role of overdominance or pseudo-overdominance in maintaining genetic diversity, particularly in low recombining regions.
DOI: 10.15468/dl.uufy78
title: Occurrence Download

description: A dataset containing 110 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eleusine indica",
 "Country is Netherlands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 110 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032616-250717081556266/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.28380719.v1
title: Supplementary data for Acroporids in northwestern Philippines with varied thermotolerance host similar photosymbionts

description: This dataset contains raw high-throughput sequencing reads targeting the internal transcribed spacer 2 (ITS2) region of Symbiodiniaceae associated with three <i>Acropora</i> coral species: <i>Acropora cf. tenuis</i>, <i>Acropora millepora</i>, and <i>Acropora digitifera</i>. Coral samples were collected from Caniogan and Magsaysay reefs (4–5 m depth) in the Bolinao-Anda Reef Complex, Pangasinan, northwestern Philippines, during October–November 2021.Genomic DNA was extracted from airbrushed coral tissue, and the ITS2 region of the nuclear ribosomal DNA was amplified and sequenced. The resulting raw sequence data were used to characterize Symbiodiniaceae community structure and investigate the association between photosymbiont diversity and coral thermotolerance across congeneric and conspecific hosts.
DOI: 10.15468/dl.kpjjgv
title: Occurrence Download

description: A dataset containing 586307 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Insect Species Occurrence Data from Multiple Projects Worldwide with Focus on Bees and Wasps in North America"
 ]
}

 The dataset includes 586307 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032600-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sxah6s
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rubus keniensis",
 "HasCoordinate is true",
 "Geometry POLYGON ((-17.66889 -35.11691, 51.34702 -35.11691, 51.34702 37.62, -17.66889 37.62, -17.66889 -35.11691))"
 ]
}

 The dataset includes 27 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032619-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.he44qm
title: Occurrence Download

description: A dataset containing 201 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Amaranthus albus",
 "Country is Canada",
 "HasCoordinate is true"
 ]
}

 The dataset includes 201 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032620-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.egku6h
title: Occurrence Download

description: A dataset containing 12880 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Betula"
 ]
}

 The dataset includes 12880 records from 62 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032621-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15791260
title: NNacceleration4EARCG

description: Data set for https://github.com/jonas-pueschel/NNacceleration4EARCG.
DOI: 10.15468/dl.mtg7gg
title: Occurrence Download

description: A dataset containing 166 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Japan",
 "Geometry POLYGON((139.76012 35.6744,139.75995 35.67545,139.75608 35.67694,139.75256 35.67194,139.75665 35.67012,139.75778 35.67207,139.75901 35.67332,139.76012 35.6744))",
 "OccurrenceStatus is Present",
 "Year 2024-2025"
 ]
}

 The dataset includes 166 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032623-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ngzkmj
title: Occurrence Download

description: A dataset containing 694 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hippocrepis balearica"
 ]
}

 The dataset includes 694 records from 75 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032625-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16355384
title: Australian Shark Incident Database

description: The Australian Shark-Incident Database (ASID), formerly known as the Australian Shark Attack File (ASAF), quantifies temporal and spatial patterns of shark-human interactions in Australia.


The Australian Shark-Incident Database is a joint partnership with Taronga Conservation Society Australia, along with Flinders University, and the New South Wales Department of Primary Industries

Maintained as an uninterrupted record by a few committed Taronga team members since 1984, the File currently comprises > 1000 individual investigations from 1791 to today, making it the most comprehensive database of its kind available.
description: https://github.com/cjabradshaw/AustralianSharkIncidentDatabase
DOI: 10.15468/dl.p5397g
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eleusine indica",
 "Country is North Macedonia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032626-250717081556266/datasets/export for details.
DOI: 10.15468/dl.376ypb
title: Occurrence Download

description: A dataset containing 105 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Medicago polymorpha",
 "Country is Argentina",
 "HasCoordinate is true"
 ]
}

 The dataset includes 105 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032628-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5kknzp
title: Occurrence Download

description: A dataset containing 3130 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Alnus"
 ]
}

 The dataset includes 3130 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032627-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17044/scilifelab.29479973
title: CT scan images of internal resinwood in Scots pine

description: Resinwood in Scots pine timber resulting from <i>Cronartium pini</i> infection represents an important quality defect, substantially reducing sawn yield and economic value in sawmilling. This dataset generated from X-ray computed tomography (CT) for non-destructive resinwood detection across wood moisture states. Scots pine specimens exhibiting external cankers were harvested and scanned using an industrial MicroTec CT scanner in both green and dry states, included full logs and 3-cm-thick discs. Comparative density analysis identified regions of interest based on elevated density patterns.The scanner produced data using a cone beam and two angled flat detectors on a helical scanning trajectory. The spatial resolution and resulting voxel dimensions were uniform at 0.3 × 0.3 × 0.3 mm³. The resulting 3D images comprised 16-bit greyscale values representing density in kg/m³ at each location, and helical 1PI Katsevich was used for image reconstruction.Related materials:Identifier 10.1080/17480272.2025.2536725Title X-ray computed tomography-based qualitative analysis of internal resinwood in Scots pineIdentifier Peer Review Journal ArticleRelation type Dataset that used for producing the research article
DOI: 10.17044/scilifelab.29479973.v1
title: CT scan images of internal resinwood in Scots pine

description: Resinwood in Scots pine timber resulting from <i>Cronartium pini</i> infection represents an important quality defect, substantially reducing sawn yield and economic value in sawmilling. This dataset generated from X-ray computed tomography (CT) for non-destructive resinwood detection across wood moisture states. Scots pine specimens exhibiting external cankers were harvested and scanned using an industrial MicroTec CT scanner in both green and dry states, included full logs and 3-cm-thick discs. Comparative density analysis identified regions of interest based on elevated density patterns.The scanner produced data using a cone beam and two angled flat detectors on a helical scanning trajectory. The spatial resolution and resulting voxel dimensions were uniform at 0.3 × 0.3 × 0.3 mm³. The resulting 3D images comprised 16-bit greyscale values representing density in kg/m³ at each location, and helical 1PI Katsevich was used for image reconstruction.Related materials:Identifier 10.1080/17480272.2025.2536725Title X-ray computed tomography-based qualitative analysis of internal resinwood in Scots pineIdentifier Peer Review Journal ArticleRelation type Dataset that used for producing the research article
DOI: 10.15468/dl.48ma6h
title: Occurrence Download

description: A dataset containing 540475 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 (Oriolus oriolus)",
 "Country is one of (Åland Islands, Albania, Andorra, Austria, Belarus, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Czechia, Denmark, Estonia, Faroe Islands, Finland, France, Germany, Gibraltar, Greece, Guernsey, Holy See, Hungary, Iceland, Ireland, Isle of Man, Italy, Jersey, Latvia, Liechtenstein, Lithuania, Luxembourg, Malta, Moldova, Republic of, Monaco, Montenegro, Netherlands, North Macedonia, Norway, Poland, Portugal, Romania, Russian Federation, San Marino, Serbia, Slovakia, Slovenia, Spain, Svalbard and Jan Mayen, Sweden, Switzerland, Ukraine, United Kingdom of Great Britain and Northern Ireland)"
 ]
}

 The dataset includes 540475 records from 3057 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032594-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0169991.10fu
title: SH0169991.10FU

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/sh0169992.10fu
title: SH0169992.10FU

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/sh0169993.10fu
title: SH0169993.10FU

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/sh0169994.10fu
title: SH0169994.10FU

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/sh0169995.10fu
title: SH0169995.10FU

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/sh0169996.10fu
title: SH0169996.10FU

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/sh0169997.10fu
title: SH0169997.10FU

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.