cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0154757.10fu
title: SH0154757.10FU

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/sh0154758.10fu
title: SH0154758.10FU

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/sh0154759.10fu
title: SH0154759.10FU

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/sh0154760.10fu
title: SH0154760.10FU

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: 10.6084/m9.figshare.31259209.v1
title: MXLLM: Inverse design and discovery of MXene electromagnetic absorbers via reflection-driven large language models

description: A structured database of MXene-based electromagnetic wave absorbing materials extracted from scientific literature using large language models.Last updated: February 5, 2026.
DOI: 10.15468/dl.9wj4vr
title: Occurrence Download

description: A dataset containing 1828 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Balanidae, Serpulidae, Watersiporidae, Styelidae, Pennariidae, Mytilidae, Teredinidae, Ulvaceae, Caulerpaceae, Bougainvilliidae, Syllidae, Hydractiniidae, Varunidae, Bolinopsidae)",
 "Geometry POLYGON ((35.15625 31.118168, 30.585938 30.967561, 36.5625 16.877446, 41.835938 9.697506000000001, 45.175781 14.678546, 41.484375 23.955467, 35.15625 31.118168))"
 ]
}

 The dataset includes 1828 records from 69 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012947-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.98rfpn
title: Occurrence Download

description: A dataset containing 250 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hunnemannia fumariifolia",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 250 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012948-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.682qzy
title: Occurrence Download

description: A dataset containing 295819 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Zosterops japonicus"
 ]
}

 The dataset includes 295819 records from 154 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012916-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h9vp9v
title: Occurrence Download

description: A dataset containing 404 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hypecoum procumbens",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 404 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012952-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17499949
title: The processed dataset of IFPGen and the checkpoint after training
DOI: 10.5281/zenodo.17499950
title: The processed dataset of IFPGen and the checkpoint after training
DOI: 10.6084/m9.figshare.31259209
title: MXLLM

description: A structured database of MXene-based electromagnetic wave absorbing materials extracted from scientific literature using large language models.Last updated: February 5, 2026.
DOI: 10.6084/m9.figshare.31259209.v3
title: MXLLM

description: A structured database of MXene-based electromagnetic wave absorbing materials extracted from scientific literature using large language models.Last updated: February 5, 2026.
DOI: 10.6084/m9.figshare.31259209.v2
title: MXLLM: Inverse design and discovery of MXene electromagnetic absorbers via reflection-driven large language models

description: A structured database of MXene-based electromagnetic wave absorbing materials extracted from scientific literature using large language models.Last updated: February 5, 2026.
DOI: 10.5281/zenodo.18489414
title: SuperDARN data in netCDF format (2013-Apr)

description: 2013-Apr SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.


The RST is available here: https://github.com/SuperDARN/rst



The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation.
Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications.
A brief statement on how to acknowledge use of SuperDARN data is provided below.




Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication.
A listing of radars and PIs with contact information can be found here:
(SuperDARN Radar Overview)



Recommended form of acknowledgement for the use of SuperDARN data:



'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.6486345
title: SuperDARN data in netCDF format (2013-Apr)

description: 2013-Apr SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.


The RST is available here: https://github.com/SuperDARN/rst



The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation.
Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications.
A brief statement on how to acknowledge use of SuperDARN data is provided below.




Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication.
A listing of radars and PIs with contact information can be found here:
(SuperDARN Radar Overview)



Recommended form of acknowledgement for the use of SuperDARN data:



'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.18489723
title: experiment
DOI: 10.15468/dl.dccy2c
title: Occurrence Download

description: A dataset containing 314 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lamprocapnos spectabilis",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 314 records from 93 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012954-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18489752
title: Data for the Manuscript of A transition from coal-dominated to multi-source nitrate pollution limits air quality gains in China
DOI: 10.5281/zenodo.18489753
title: Data for the Manuscript of A transition from coal-dominated to multi-source nitrate pollution limits air quality gains in China
DOI: 10.7910/dvn/dyvpod
title: Open access adoption, quartile mobility, and publisher growth among Scopus-indexed journals in the Association of Southeast Asian Nations (ASEAN) and East Asia, 2015–2024: a bibliometric study

description: Dataset 1. The data preparation code and replication instructions for this study.
DOI: 10.15468/dl.zyy3s3
title: Occurrence Download

description: A dataset containing 430345 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is CC-BY-NC 4.0",
 "OccurrenceStatus is Present",
 "Year 2026-2026"
 ]
}

 The dataset includes 430345 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012940-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/ezeikb
title: Patterns of scientific misconduct, time to retraction, and post-retraction citation in dental implantology from 2000 to 2024: a bibliometric study

description: Dataset 1. Research data for the article.
DOI: 10.15468/dl.y4nex4
title: Occurrence Download

description: A dataset containing 2278 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Macleaya cordata",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 2278 records from 119 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012956-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rf8cqz
title: Occurrence Download

description: A dataset containing 124991 records in GBIF matching the query:
SELECT 
 "gbifid", "taxonkey", "phylum", "class", "order", "eventdate", "datasetkey", "countrycode", "stateprovince", "decimallongitude", "decimallatitude" 
FROM occurrence 
WHERE 
 ("hasgeospatialissues" = 'false') AND 
 ("hascoordinate" = 'true') AND 
 ("occurrencestatus" = 'PRESENT') AND 
 NOT("basisofrecord" IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')) AND 
 ("decimallatitude" &gt;= -90) AND 
 ("decimallatitude" &lt; 16) AND 
 ("decimallongitude" &gt;= -94) AND 
 ("decimallongitude" &lt; -93) AND 
 ("year" &lt;= 2025)

 The dataset's 124991 records were derived from 377 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012934-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pxyj73
title: Occurrence Download

description: A dataset containing 326840 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonId is not null",
 "GbifId is not null",
 "Country is one of (Canada, Mexico, United States of America)",
 "EventDate is greater than or equal to 2022-01-12",
 "EventDate is less than or equal to 2022-02-11",
 {
 "not" : {
 "Issue" : [
 "is one of (Basis of record invalid, Coordinate reprojection failed, Coordinate reprojection suspicious, Coordinate precision invalid, Coordinate uncertainty meters invalid, Country mismatch, Country invalid, Geodetic datum invalid, Presumed swapped coordinate, Presumed negated longitude, Presumed negated latitude, Country coordinate mismatch)"
 ]
 }
 },
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 326840 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012937-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3kvub8
title: Occurrence Download

description: A dataset containing 389 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Trollius chinensis"
 ]
}

 The dataset includes 389 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012958-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kb4jum
title: Occurrence Download

description: A dataset containing 407 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Macleaya microcarpa",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 407 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012960-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/yfbp0k
title: Replication Data for: Rapid shift of the peak of magnetic entropy change driven by strong intralayer ferromagnetic ordering in single crystal CrSBr

description: Replication data.
DOI: 10.7910/dvn/egghpx
title: Replication Data for Expected and Realized Returns on Volatility

description: The attached file contains the code and data that generate the tables and figures in the paper.
DOI: 10.5281/zenodo.18489688
title: OneK1K B-cell dataset used for MR.RGM real-data analysis

description: This record contains the real-data resources used in the OneK1K-based analyses of the MR.RGM and MR.RGM+ methods.

The upload includes one R data archive:

donor_b_cell.rda  This file contains derived and curated data objects for B-cell samples from the OneK1K project, including:- donor-level covariates (age, sex, genotype PCs),- genotype dosage matrices aligned to donor IDs,- gene-level RNA count matrices aggregated at the donor level, and- genomic annotations for variants and genes.

The data have been preprocessed to enable direct use in the real-data analysis scripts provided in the associated code repository. 

The files in this record are provided to ensure full reproducibility of the OneK1K real-data analyses reported in the associated manuscript.

Original OneK1K data were generated by the OneK1K Consortium. This record redistributes derived and reorganized data products for methodological reproducibility only.
DOI: 10.5281/zenodo.18489687
title: OneK1K B-cell dataset used for MR.RGM real-data analysis

description: This record contains the real-data resources used in the OneK1K-based analyses of the MR.RGM and MR.RGM+ methods.

The upload includes one R data archive:

donor_b_cell.rda  This file contains derived and curated data objects for B-cell samples from the OneK1K project, including:- donor-level covariates (age, sex, genotype PCs),- genotype dosage matrices aligned to donor IDs,- gene-level RNA count matrices aggregated at the donor level, and- genomic annotations for variants and genes.

The data have been preprocessed to enable direct use in the real-data analysis scripts provided in the associated code repository. 

The files in this record are provided to ensure full reproducibility of the OneK1K real-data analyses reported in the associated manuscript.

Original OneK1K data were generated by the OneK1K Consortium. This record redistributes derived and reorganized data products for methodological reproducibility only.
DOI: 10.7910/dvn/86dlvm
title: Replication Data for: Beaches or Boarding?: Shark Attacks, Tourism, and the 1916 Presidential Election

description: This archive contains all files required to replicate the analyses reported in "Beaches or Boarding?: Shark Attacks, Tourism, and the 1916 Presidential Election" (published in American Politics Research)
DOI: 10.15468/dl.2fatd9
title: Occurrence Download

description: A dataset containing 125 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Papaver bracteatum",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 125 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012964-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18489735
title: The impact of global value chain participation on CO2 emissions: New evidence based on the nonlinear PSTR model
DOI: 10.5281/zenodo.18489734
title: The impact of global value chain participation on CO2 emissions: New evidence based on the nonlinear PSTR model
DOI: 10.15468/dl.q8a73k
title: Occurrence Download

description: A dataset containing 7600 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Papaver rhoeas",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 7600 records from 337 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012967-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wfsxqw
title: Occurrence Download

description: A dataset containing 36405 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Washington State University, Charles R. Conner Museum Mammal Specimens (Arctos)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 36405 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012968-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mucxf7
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is South Africa",
 "OccurrenceStatus is Present",
 "TaxonKey is Austropuccinia psidii",
 "Year is greater than or equal to 2013"
 ]
}

 The dataset includes 24 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012969-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ahrn7d
title: Occurrence Download

description: A dataset containing 376328 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tracheophyta",
 "HasCoordinate is true",
 "Year is greater than or equal to 1970",
 "Year is less than or equal to 1974",
 "Geometry POLYGON((-25.0 54.0, 45.0 54.0, 45.0 59.0, -25.0 59.0, -25.0 54.0))"
 ]
}

 The dataset includes 376328 records from 167 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012943-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.