cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0201319.10fu
title: SH0201319.10FU

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/sh0201320.10fu
title: SH0201320.10FU

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/sh0201321.10fu
title: SH0201321.10FU

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/sh0201322.10fu
title: SH0201322.10FU

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/sh0201323.10fu
title: SH0201323.10FU

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/sh0201324.10fu
title: SH0201324.10FU

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/sh0201325.10fu
title: SH0201325.10FU

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/sh0201326.10fu
title: SH0201326.10FU

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/sh0201327.10fu
title: SH0201327.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15468/dl.x6r6ee
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Salvia chicamochae J.R.I.Wood & Harley"
 ]
}

 The dataset includes 13 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002376-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10775809
title: A-Islands: A vascular plant dataset for biodiversity research and species monitoring on Australian continental islands

description: Australia’s coastline features over 8,000 continental islands with diverse landforms, geology and plant diversity. This repository is for A-Islands, a curated, open-access dataset of >6,500 plant species from 844 islands, compiled from 1,349 species lists and floras. The islands vary in size (18 m²–4,400 km²), isolation, and climate zones, with 251 repeatedly sampled up to 11 times, enabling temporal studies. Its simple structure (three CSV files) allows integration with other databases and supports research on biodiversity, species turnover, island biogeography, and conservation. Continuously updated via version control, A-Islands offers a critical resource for understanding and monitoring Australia’s island ecosystems.
DOI: 10.5281/zenodo.10775810
title: A-Islands: A vascular plant dataset for biodiversity research and species monitoring on Australian continental islands

description: Australia’s coastline features over 8,000 continental islands with diverse landforms, geology and plant diversity. This repository is for A-Islands, a curated, open-access dataset of >6,500 plant species from 844 islands, compiled from 1,349 species lists and floras. The islands vary in size (18 m²–4,400 km²), isolation, and climate zones, with 251 repeatedly sampled up to 11 times, enabling temporal studies. Its simple structure (three CSV files) allows integration with other databases and supports research on biodiversity, species turnover, island biogeography, and conservation. Continuously updated via version control, A-Islands offers a critical resource for understanding and monitoring Australia’s island ecosystems.
DOI: 10.5281/zenodo.14647737
title: Supplementary materials for "Advances in modeling complex materials: The rise of neuroevolution potentials"

description: This dataset contains the support informations of machine-learned potentials training and molecular dynamics simulations setup for the manuscript "Advances in modeling complex materials: The rise of neuroevolution potentials" (to be submitted).
DOI: 10.5281/zenodo.14647736
title: Supplementary materials for "Advances in modeling complex materials: The rise of neuroevolution potentials"

description: This dataset contains the support informations of machine-learned potentials training and molecular dynamics simulations setup for the manuscript "Advances in modeling complex materials: The rise of neuroevolution potentials" (to be submitted).
DOI: 10.5281/zenodo.14880452
title: Raw Data_Factors Influencing School Adjustment Among Chinese College Students

description: The dataset, "Raw Data_Factors Influencing School Adjustment Among Chinese College Students", was collected from university students in Henan provinces using Questionnaire Star (www.Sojump.com) between June to September 2024. After excluding invalid responses, 462 valid questionnaires were analyzed. Our study focuses on key psychological factors, including positive psychology, coping styles, and negative emotions, to explore their impact on the school adjustment of EFL learners under the pressures of modern education. This dataset provides valuable insights into the psychological state and adjustment processes of college students, shedding light on how these psychological factors influence their ability to adapt to academic life.
DOI: 10.5281/zenodo.14880453
title: Raw Data_Factors Influencing School Adjustment Among Chinese College Students

description: The dataset, "Raw Data_Factors Influencing School Adjustment Among Chinese College Students", was collected from university students in Henan provinces using Questionnaire Star (www.Sojump.com) between June to September 2024. After excluding invalid responses, 462 valid questionnaires were analyzed. Our study focuses on key psychological factors, including positive psychology, coping styles, and negative emotions, to explore their impact on the school adjustment of EFL learners under the pressures of modern education. This dataset provides valuable insights into the psychological state and adjustment processes of college students, shedding light on how these psychological factors influence their ability to adapt to academic life.
DOI: 10.26188/23501301
title: UniMelb Eastern Quoll Reference Genome Preprint Repository

description: <b>Contains:</b><br>observations_map.r: Code used to plot eastern quoll observations on the map of Tasmania (Fig. 1b).eastern_quoll_observation_records_gps_coords_filt.csv: Table of GPS coordinates representing eastern quoll sightings from the Tasmanian Natural Values Atlas (Fig. 1b).ideogram.r: Code used to plot the heat map of gene annotations (Fig. 3a).gene_count_histo_10mbp.bed: Bed file containing 10 megabase windows across the eastern quoll genome with the count of annotated genes (Fig. 3a).Dasyurus_viverrinus_TARZ-13805.1_eggnog.gff: <i>De novo</i> annotation of the eastern quoll genome generated with funannotate and labelled with eggnogSupplementary Tables S1-S6.xlsx: Supplementary tables referenced in manuscript. Each table is given in a sheet.Supplementary File S1.docx: MAFFT alignment of dasyuromorph ASIP alignmentsSupplementary File S2.docx: MAFFT alignment of the <i>ASIP</i> exon 1 region from the eastern quoll, yellow-footed antechinus and two Tasmanian devil genome assemblies.
DOI: 10.26188/23501301.v2
title: UniMelb Eastern Quoll Reference Genome Preprint Repository

description: <b>Contains:</b><br>observations_map.r: Code used to plot eastern quoll observations on the map of Tasmania (Fig. 1b).eastern_quoll_observation_records_gps_coords_filt.csv: Table of GPS coordinates representing eastern quoll sightings from the Tasmanian Natural Values Atlas (Fig. 1b).ideogram.r: Code used to plot the heat map of gene annotations (Fig. 3a).gene_count_histo_10mbp.bed: Bed file containing 10 megabase windows across the eastern quoll genome with the count of annotated genes (Fig. 3a).Dasyurus_viverrinus_TARZ-13805.1_eggnog.gff: <i>De novo</i> annotation of the eastern quoll genome generated with funannotate and labelled with eggnogSupplementary Tables S1-S6.xlsx: Supplementary tables referenced in manuscript. Each table is given in a sheet.Supplementary File S1.docx: MAFFT alignment of dasyuromorph ASIP alignmentsSupplementary File S2.docx: MAFFT alignment of the <i>ASIP</i> exon 1 region from the eastern quoll, yellow-footed antechinus and two Tasmanian devil genome assemblies.
DOI: 10.26188/23501301.v1
title: UniMelb Eastern Quoll Reference Genome Preprint Repository

description: <b>Contains:</b><br>observations_map.r: Code used to plot eastern quoll observations on the map of Tasmania (Fig. 1b).eastern_quoll_observation_records_gps_coords_filt.csv: Table of GPS coordinates representing eastern quoll sightings from the Tasmanian Natural Values Atlas (Fig. 1b).ideogram.r: Code used to plot the heat map of gene annotations (Fig. 3a).gene_count_histo_10mbp.bed: Bed file containing 10 megabase windows across the eastern quoll genome with the count of annotated genes (Fig. 3a).Dasyurus_viverrinus_TARZ-13805.1_eggnog.gff: <i>De novo</i> annotation of the eastern quoll genome generated with funannotate and labelled with eggnogSupplementary Tables S1-S6.xlsx: Supplementary tables referenced in manuscript. Each table is given in a sheet.Supplementary File S1.docx: MAFFT alignment of dasyuromorph ASIP alignmentsSupplementary File S2.docx: MAFFT alignment of the <i>ASIP</i> exon 1 region from the eastern quoll, yellow-footed antechinus and two Tasmanian devil genome assemblies.
DOI: 10.15468/dl.b335h7
title: Occurrence Download

description: A dataset containing 779 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Limonium bicolor (Bunge) Kuntze"
 ]
}

 The dataset includes 779 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002377-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14709466
title: Neural-physics adaptive reconstruction reveals 3D subcellular nanostructures over a large depth of field

description: These datasets are provided for testing the demo code of LUNAR (Localization Using Neural-physics Adaptive Reconstruction). Users should unzip the files and place them in the datasets directory.
DOI: 10.5281/zenodo.14709467
title: Neural-physics adaptive reconstruction reveals 3D subcellular nanostructures over a large depth of field

description: These datasets are provided for testing the demo code of LUNAR (Localization Using Neural-physics Adaptive Reconstruction). Users should unzip the files and place them in the datasets directory.
DOI: 10.15468/dl.78cu4r
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Cantharellus anzutake W.Ogawa, N.Endo, M.Fukuda & A.Yamada"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002378-250214102907787/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.28426682
title: spatial Transcripts datasets and method

description: Table 1. Summary of the spatial Transcripts datasetsTable 2. Summary of the benchmark methods
DOI: 10.6084/m9.figshare.28426682.v1
title: spatial Transcripts datasets and method

description: Table 1. Summary of the spatial Transcripts datasetsTable 2. Summary of the benchmark methods
DOI: 10.15468/dl.h7tfe3
title: Occurrence Download

description: A dataset containing 210 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Fusarium venenatum Nirenberg"
 ]
}

 The dataset includes 210 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002379-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14878172
title: Global Hourly Seamless Aerosol Optical Depth Dataset (2010) at 0.05°×0.05° Resolution

description: This dataset was producted based on MERRA-2 AOD, MODIS MAIAC AOD.
DOI: 10.5281/zenodo.14878173
title: Global Hourly Seamless Aerosol Optical Depth Dataset (2010) at 0.05°×0.05° Resolution

description: This dataset was producted based on MERRA-2 AOD, MODIS MAIAC AOD.
DOI: 10.15468/dl.7jjfah
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Magnolia yarumalensis (Lozano) Govaerts"
 ]
}

 The dataset includes 16 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002380-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.99f824
title: Occurrence Download

description: A dataset containing 578 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Tarenaya hassleriana (Chodat) Iltis"
 ]
}

 The dataset includes 578 records from 88 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002381-250214102907787/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.28211774
title: Data_Artificial reef

description: The data of artificial reefs in Sishili Bay (SB) and the Changdao Archipelago (CA), Yantai, China.
DOI: 10.6084/m9.figshare.28377050
title: The impact of the armed conflict on clinical training: Khartoum University medical students’ perceptions of their clinical skills confidence, and future career fears: A cross-sectional study Sudan 2024 - Survey

description: Sudan is going through an armed conflict since 15 April 2023. Many students are currently facing significant challenges regarding their medical education, specifically with clinical training and this issue is highly concerning, so it is significant to evaluate the impact of the armed conflict on Khartoum medical student clinical training and to assess students' confidence level regarding their clinical skills, their preparedness for future careers along with their current fears.
DOI: 10.6084/m9.figshare.28377050.v5
title: The impact of the armed conflict on clinical training: Khartoum University medical students’ perceptions of their clinical skills confidence, and future career fears: A cross-sectional study Sudan 2024 - Survey

description: Sudan is going through an armed conflict since 15 April 2023. Many students are currently facing significant challenges regarding their medical education, specifically with clinical training and this issue is highly concerning, so it is significant to evaluate the impact of the armed conflict on Khartoum medical student clinical training and to assess students' confidence level regarding their clinical skills, their preparedness for future careers along with their current fears.