cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0213610.10fu
title: SH0213610.10FU

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/sh0213611.10fu
title: SH0213611.10FU

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/sh0213612.10fu
title: SH0213612.10FU

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/sh0213613.10fu
title: SH0213613.10FU

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/sh0213614.10fu
title: SH0213614.10FU

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/sh0213615.10fu
title: SH0213615.10FU

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/sh0213616.10fu
title: SH0213616.10FU

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/sh0213617.10fu
title: SH0213617.10FU

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/sh0213618.10fu
title: SH0213618.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.5281/zenodo.18139069
title: Deep Atrous Context Convolution Generative Adversarial Network with Corner Key Point Extracted Feature for Nuts Classification
DOI: 10.5281/zenodo.18139070
title: Deep Atrous Context Convolution Generative Adversarial Network with Corner Key Point Extracted Feature for Nuts Classification
DOI: 10.15468/dl.tyqw85
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is one of (Chinese Taipei, China)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Calocedrus macrolepis",
 "Year 1970-2025"
 ]
}

 The dataset includes 46 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071739-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zthncn
title: Occurrence Download

description: A dataset containing 451 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is one of (Chinese Taipei, China)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "VerbatimScientificName is Chamaecyparis formosensis",
 "Year 1970-2025"
 ]
}

 The dataset includes 451 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071740-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18138882
title: eperua_grandiflora_spades_01.fasta.gz
DOI: 10.5281/zenodo.18138883
title: eperua_grandiflora_spades_01.fasta.gz
DOI: 10.5281/zenodo.18139337
title: eperua_cerradoensis_spades_01.fasta.gz
DOI: 10.5281/zenodo.18139338
title: eperua_cerradoensis_spades_01.fasta.gz
DOI: 10.5281/zenodo.18139433
title: High Prevalence of CIN2+ Lesions in Unvaccinated Women Aged 25–30: Evidence Supporting Earlier HPV Screening in Turkey
DOI: 10.5281/zenodo.18139434
title: High Prevalence of CIN2+ Lesions in Unvaccinated Women Aged 25–30: Evidence Supporting Earlier HPV Screening in Turkey
DOI: 10.15468/dl.vfawue
title: Occurrence Download

description: A dataset containing 54 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is one of (Chinese Taipei, China)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "VerbatimScientificName is Fokienia hodginsii",
 "Year 1970-2025"
 ]
}

 The dataset includes 54 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071741-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/611hyb
title: Replication Data and Code for: Information Freedom and the Gap Between Reported COVID-19 Deaths and Excess Mortality: Cross-national Evidence

description: Replication data and code for the manuscript “Information Freedom and the Gap Between Reported COVID-19 Deaths and Excess Mortality: Cross-national Evidence” (submitted to Social Science & Medicine). This dataset contains an offline-first replication package (ZIP) that reproduces the main tables and figures.
DOI: 10.15468/dl.zasnsg
title: Occurrence Download

description: A dataset containing 199 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is one of (Chinese Taipei, China)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "VerbatimScientificName is Taiwania cryptomerioides",
 "Year 1970-2025"
 ]
}

 The dataset includes 199 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071742-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18139401
title: Spectra in Rectified and Normalized Flux Format from "An Atlas of LAMOST Low-Resolution Spectra of Chemically Peculiar Stars"

description: Supplementary material to Stefan Hümmerich's An Atlas of LAMOST Low-Resolution Spectra of Chemically Peculiar Stars consisting of the LAMOST DR4 spectra of all the CP stars shown in the atlas. The spectra come in rectified and normlized flux format, which has been the basis for all figures depicted therein (cf. Table 1 in the Appendix of the atlas). Please note that the normalization has been performed manually by the author and may not represent the most optimal solution and that some of the noisier spectra were slightly smoothed.

Acknowledgment: Guoshoujing Telescope (the Large Sky Area Multi-Object Fiber Spectroscopic Telescope LAMOST) is a National Major Scientific Project built by the Chinese Academy of Sciences. Funding for the project has been provided by the National Development and Reform Commission. LAMOST is operated and managed by the National Astronomical Observatories, Chinese Academy of Sciences.
DOI: 10.5281/zenodo.18139402
title: Spectra in Rectified and Normalized Flux Format from "An Atlas of LAMOST Low-Resolution Spectra of Chemically Peculiar Stars"

description: Supplementary material to Stefan Hümmerich's An Atlas of LAMOST Low-Resolution Spectra of Chemically Peculiar Stars consisting of the LAMOST DR4 spectra of all the CP stars shown in the atlas. The spectra come in rectified and normlized flux format, which has been the basis for all figures depicted therein (cf. Table 1 in the Appendix of the atlas). Please note that the normalization has been performed manually by the author and may not represent the most optimal solution and that some of the noisier spectra were slightly smoothed.

Acknowledgment: Guoshoujing Telescope (the Large Sky Area Multi-Object Fiber Spectroscopic Telescope LAMOST) is a National Major Scientific Project built by the Chinese Academy of Sciences. Funding for the project has been provided by the National Development and Reform Commission. LAMOST is operated and managed by the National Astronomical Observatories, Chinese Academy of Sciences.
DOI: 10.6084/m9.figshare.30984037
title: Remote sensing data supporting forest biomass estimation in Xiong’an New Area

description: This dataset contains processed remote sensing data used in the analysis presented in the associated manuscript. The data include georeferenced raster files derived from multi-source satellite imagery and were used to support the estimation and analysis of forest-related environmental variables. Due to data ownership constraints and ongoing research agreements, the dataset is not publicly available for unrestricted download. The data are deposited in this repository under restricted access and can be made available for academic use upon reasonable request to the corresponding author.
DOI: 10.6084/m9.figshare.30984037.v1
title: Remote sensing data supporting forest biomass estimation in Xiong’an New Area

description: This dataset contains processed remote sensing data used in the analysis presented in the associated manuscript. The data include georeferenced raster files derived from multi-source satellite imagery and were used to support the estimation and analysis of forest-related environmental variables. Due to data ownership constraints and ongoing research agreements, the dataset is not publicly available for unrestricted download. The data are deposited in this repository under restricted access and can be made available for academic use upon reasonable request to the corresponding author.
DOI: 10.15468/dl.2aeeby
title: Occurrence Download

description: A dataset containing 1755 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Suricata suricatta"
 ]
}

 The dataset includes 1755 records from 71 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071743-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zv6gb8
title: Occurrence Download

description: A dataset containing 951 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Symplocos setchuensis"
 ]
}

 The dataset includes 951 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071744-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r4wgsj
title: Occurrence Download

description: A dataset containing 774 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "CoordinateUncertaintyInMeters 0.0-10000.0",
 "Geometry POLYGON((111.5 24.5,114 24.5,114 25.8,111.5 25.8,111.5 24.5))",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 774 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071745-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s7vcrf
title: Occurrence Download

description: A dataset containing 22575 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Upupa epops)",
 "Country is one of (Philippines, Korea, Republic of, Japan, China, Chinese Taipei, Thailand, Viet Nam, Cambodia, Lao People’s Democratic Republic, Mongolia, Myanmar)",
 "Month is one of (April, May, June)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2024",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Human Observation, Observation)"
 ]
}

 The dataset includes 22575 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071746-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18139222
title: dendrelaphis_pictus_spades_01.fasta.gz
DOI: 10.5281/zenodo.18139223
title: dendrelaphis_pictus_spades_01.fasta.gz
DOI: 10.15468/dl.qrfghe
title: Occurrence Download

description: A dataset containing 55 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Symplocos tetragona"
 ]
}

 The dataset includes 55 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071747-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9ru2r6
title: Occurrence Download

description: A dataset containing 14186 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Garrulus glandarius)",
 "Country is one of (Philippines, Korea, Republic of, Japan, China, Chinese Taipei, Thailand, Viet Nam, Cambodia, Lao People’s Democratic Republic, Mongolia, Myanmar)",
 "Month is one of (April, May, June)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2024",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Human Observation, Observation)"
 ]
}

 The dataset includes 14186 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071748-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qk8hkb
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "CoordinateUncertaintyInMeters 0.0-10000.0",
 "Geometry POLYGON((112 26,113 26,113 27,112 27,112 26))",
 "HasCoordinate is true",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 25 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071749-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.