cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25919/19ab-2b27
title: Parkes observations for project PX500 semester 2025OCTS_13

description: This proposal relates to time purchased by the Chinese Academy of Sciences for Parkes follow-up confirmation and timing of FAST discoveries. As the observing time has been purchased this proposal (and the related PX501) does not require TAC grading. The primary reason for submitting a proposal is to ensure an outreach statement and that the proposal is entered into OPAL for the data archive to access. The Chinese team have two time requests. The time scheduled for the first, relating to this proposal, will be allocated in blocks of 24 hours and the data will become available in the data archive with an 18 month embargo period. The second type of time will be scheduled in shorter blocks and the data archived with a 10 year embargo.
DOI: 10.15468/dl.z2v5qv
title: Occurrence Download

description: A dataset containing 57175 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Macronectes halli",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON((-180 -90, 180 -90, 180 90, -180 90, -180 -90))"
 ]
}

 The dataset includes 57175 records from 80 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067944-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17706631
title: DATA FOLDER - Heating Fuel Analysis (Joseph 2025)

description: This folder contains the data required to run the joseph-heating-fuel-analysis GitHub repo code (not included in the Github repository). 



Download the data from this page

Extract all files from the zipped folder

Copy and paste the folder contents in the empty folder at the following path: [YOUR_PATH]/joseph-heating-fuel-analysis
DOI: 10.15468/dl.r44xh3
title: Occurrence Download

description: A dataset containing 14657 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nestor notabilis",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON((-180 -90, 180 -90, 180 90, -180 90, -180 -90))"
 ]
}

 The dataset includes 14657 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067951-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dbw7en
title: Occurrence Download

description: A dataset containing 158 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Speleomantes flavus"
 ]
}

 The dataset includes 158 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067954-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5tc2ej
title: Occurrence Download

description: A dataset containing 10604 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nothoprocta pentlandii",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON((-180 -90, 180 -90, 180 90, -180 90, -180 -90))"
 ]
}

 The dataset includes 10604 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067955-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/14325254
title: Dataset jadwal event lariku.info
DOI: 10.15468/dl.nyt9xv
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Passer zarudnyi",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON((-180 -90, 180 -90, 180 90, -180 90, -180 -90))"
 ]
}

 The dataset includes 8 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067956-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wwp8nn
title: Occurrence Download

description: A dataset containing 611 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Speleomantes genei"
 ]
}

 The dataset includes 611 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067957-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6htmgc
title: Occurrence Download

description: A dataset listing the 2 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pelidnota cyanitarsis"
 ]
}

 The dataset's 2 records were derived from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067952-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mpyyrw
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-17.49138 32.90841,40.49138 32.90841,40.49138 56.09159,-17.49138 56.09159,-17.49138 32.90841))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Tilia rubra"
 ]
}

 The dataset includes 8 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067961-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cy5247
title: Occurrence Download

description: A dataset containing 345 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Speleomantes imperialis"
 ]
}

 The dataset includes 345 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067960-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17706630
title: DATA FOLDER - Heating Fuel Analysis (Joseph 2025)

description: This folder contains the data required to run the joseph-heating-fuel-analysis GitHub repo code (not included in the Github repository). 



Download the data from this page

Extract all files from the zipped folder

Copy and paste the folder contents in the empty folder at the following path: [YOUR_PATH]/joseph-heating-fuel-analysis
DOI: 10.5281/zenodo.18078905
title: DATA FOLDER - Heating Fuel Analysis (Joseph 2025)

description: This folder contains the data required to run the joseph-heating-fuel-analysis GitHub repo code (not included in the Github repository). 



Download the data from this page

Extract all files from the zipped folder

Copy and paste the folder contents in the empty folder at the following path: [YOUR_PATH]/joseph-heating-fuel-analysis
DOI: 10.15468/dl.yvjkj9
title: Occurrence Download

description: A dataset containing 27418491 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Occurrence evidence, Human Observation, Material sample)",
 "Country is Mexico",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 27418491 records from 822 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067950-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8pumg4
title: Occurrence Download

description: A dataset containing 547 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Inia geoffrensis (Blainville, 1817)"
 ]
}

 The dataset includes 547 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001007-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/2dkd-st04
title: Fused radar dataset

description: Human Activity Recognition (HAR) has become an essential research area in the development of intelligent monitoring systems, with applications in healthcare, security, and human-computer interaction. Traditional HAR approaches primarily rely on wearable sensors or optical-based methods, such as cameras, which often introduce challenges related to user compliance, environmental sensitivity, and privacy concerns. In contrast, radar-based HAR offers a non-intrusive, privacy-preserving alternative capable of robust performance across diverse environmental conditions.
DOI: 10.6084/m9.figshare.28440524
title: association analyses

description: Grain weight is a key determinant of wheat yield. Dissection of more grain weight genes is crucial for improving wheat yield potential. Using homologous cloning method, a total of 104 rice grain weight genes was collected from published studies and their corresponding 314 homologous genes were identified in wheat. Spatiotemporal expression analysis revealed that grain weight genes exhibit diverse expression profiles, with few showing grain-specific expression patterns. Approximately 36,000 variants in these grain weight genes were identified in a large natural wheat population. Candidate gene association analysis, using 490 common wheat accessions across five environments, revealed that 146 genes are significantly associated with grain weight. Favorable alleles were significantly enriched in modern wheat cultivars lines as a result of breeding practices. These findings contribute to a better understanding of the genetic architecture of grain development and weight, offering potential targets for future wheat yield improvement.
DOI: 10.6084/m9.figshare.28440524.v1
title: association analyses

description: Grain weight is a key determinant of wheat yield. Dissection of more grain weight genes is crucial for improving wheat yield potential. Using homologous cloning method, a total of 104 rice grain weight genes was collected from published studies and their corresponding 314 homologous genes were identified in wheat. Spatiotemporal expression analysis revealed that grain weight genes exhibit diverse expression profiles, with few showing grain-specific expression patterns. Approximately 36,000 variants in these grain weight genes were identified in a large natural wheat population. Candidate gene association analysis, using 490 common wheat accessions across five environments, revealed that 146 genes are significantly associated with grain weight. Favorable alleles were significantly enriched in modern wheat cultivars lines as a result of breeding practices. These findings contribute to a better understanding of the genetic architecture of grain development and weight, offering potential targets for future wheat yield improvement.
DOI: 10.25952/hxqp-9372
title: A quantitative assessment of barriers to adopting the sustainable Mediterranean diet

description: Qualtrics Survey, Dataset
description: Qualtrics Survey, Dataset
DOI: 10.15468/dl.k6tq3b
title: Occurrence Download

description: A dataset containing 269203823 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Year is 2022"
 ]
}

 The dataset includes 269203823 records from 9774 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000996-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s44bmu
title: Occurrence Download

description: A dataset containing 1920 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Rhampholeon Günther, 1874)"
 ]
}

 The dataset includes 1920 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030441-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ytkh7m
title: Occurrence Download

description: A dataset containing 138 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Occurrence evidence)",
 "Continent is one of (South America, North America)",
 "OccurrenceStatus is Present",
 "TaxonKey is Bassariscus sumichrasti (Saussure, 1860)"
 ]
}

 The dataset includes 138 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030442-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cj9az9
title: Occurrence Download

description: A dataset containing 2647 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Occurrence evidence)",
 "Continent is one of (South America, North America)",
 "OccurrenceStatus is Present",
 "TaxonKey is Procyon cancrivorus G"
 ]
}

 The dataset includes 2647 records from 119 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030444-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nc5gge
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Mandevilla catimbauensis Souza-Silva, Rapini & J.F.Morales"
 ]
}

 The dataset includes 18 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030445-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.96xets
title: Occurrence Download

description: A dataset containing 2393 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acridotheres tristis (Linnaeus, 1766)",
 "Country is French Polynesia",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 2393 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030446-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0205171.10fu
title: SH0205171.10FU

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/sh0205172.10fu
title: SH0205172.10FU

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/sh0205173.10fu
title: SH0205173.10FU

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/sh0205174.10fu
title: SH0205174.10FU

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/sh0205175.10fu
title: SH0205175.10FU

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/sh0205176.10fu
title: SH0205176.10FU

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/sh0205177.10fu
title: SH0205177.10FU

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/sh0205178.10fu
title: SH0205178.10FU

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.