cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0748404.10fu
title: SH0748404.10FU

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/sh0748405.10fu
title: SH0748405.10FU

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/sh0748406.10fu
title: SH0748406.10FU

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/sh0748407.10fu
title: SH0748407.10FU

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/sh0748408.10fu
title: SH0748408.10FU

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/sh0748409.10fu
title: SH0748409.10FU

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.30157474
title: Datasets for the reproduction of Ensemble-Driven Molecular Dynamics (EDMD) structure refinement

description: The repository consists of folders for different proteins, serving as examples.The prefixes refers to the origin of the dataset:Abrelax: data from CS-Rosetta Abinitio Relax protocol.NOE-RASREC: data from CS-Rosetta RASREC protocol supplemented with NOE-derived distance restraints.Every protein folder includes the following:"ExtractedPDBs" folder storing the individual PDB files of the structural ensemble (from CS-Rosetta structure prediction) and "name.scores.txt" file with filenames and belonging scores."results_trajectories" folder with XTC trajectory files from GROMACS. EDMD trajectories were calculated with the force field modified with the EDMD package. MD trajectories were run with the original AMBER force field. 2-2 parallel 1000 ns long simulations are presented."_grompp.tpr" file, from which it is possible to run EDMD simulations."_processed.top" file is a processed topology file."_solv_ions.gro" file is a GRO file ready to run simulations. It contains the solvated protein (best model of the ensemble).NDX index file."EDMD_config.json" is a configuration file to run the EDMD package.Details about the EDMD package can be found at https://github.com/gadaneczm/EDMD_package.
DOI: 10.6084/m9.figshare.30157474.v1
title: Datasets for the reproduction of Ensemble-Driven Molecular Dynamics (EDMD) structure refinement

description: The repository consists of folders for different proteins, serving as examples.The prefixes refers to the origin of the dataset:Abrelax: data from CS-Rosetta Abinitio Relax protocol.NOE-RASREC: data from CS-Rosetta RASREC protocol supplemented with NOE-derived distance restraints.Every protein folder includes the following:"ExtractedPDBs" folder storing the individual PDB files of the structural ensemble (from CS-Rosetta structure prediction) and "name.scores.txt" file with filenames and belonging scores."results_trajectories" folder with XTC trajectory files from GROMACS. EDMD trajectories were calculated with the force field modified with the EDMD package. MD trajectories were run with the original AMBER force field. 2-2 parallel 1000 ns long simulations are presented."_grompp.tpr" file, from which it is possible to run EDMD simulations."_processed.top" file is a processed topology file."_solv_ions.gro" file is a GRO file ready to run simulations. It contains the solvated protein (best model of the ensemble).NDX index file."EDMD_config.json" is a configuration file to run the EDMD package.Details about the EDMD package can be found at https://github.com/gadaneczm/EDMD_package.
DOI: 10.15468/dl.uav666
title: Occurrence Download

description: A dataset containing 73 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Leersia hexandra",
 "Country is Bolivia (Plurinational State of)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 73 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018560-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fm4ntd
title: Occurrence Download

description: A dataset containing 113 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Leersia hexandra",
 "Country is Cameroon",
 "HasCoordinate is true"
 ]
}

 The dataset includes 113 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018562-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.24435/materialscloud:f8-mc
title: Ubiquitous shallow trap states and lattice hydrogenation of ZnO particles

description: ZnO nanoparticle powders are an important and common starting material for functional devices that require the highest purity for electronic and optical applications. In this combined ab initio and experimental study, we use electron paramagnetic resonance (EPR) spectroscopy to detect shallow donor states in the ZnO lattice via their characteristic EPR resonance at g = 1.96. Using DFT calculations that account for the chemical environment and the high temperatures during the gas-phase synthesis in conjunction with control experiments with atomic hydrogen, we show that these paramagnetic defects correspond to neutral hydrogenated oxygen sites (OHO0). As a key implication of these findings, ZnO particle powders, although produced under pure gas-phase synthesis conditions and subsequently annealed in vacuum to 873 K, were found to be doped with hydrogen at a base concentration of 10-5 at% and higher. This, in turn, highlights the often-overlooked role of unwanted hydrogen in nanoscale ZnO as components for applications in optics, electronics, and sensing.
DOI: 10.24435/materialscloud:t8-4s
title: Ubiquitous shallow trap states and lattice hydrogenation of ZnO particles

description: ZnO nanoparticle powders are an important and common starting material for functional devices that require the highest purity for electronic and optical applications. In this combined ab initio and experimental study, we use electron paramagnetic resonance (EPR) spectroscopy to detect shallow donor states in the ZnO lattice via their characteristic EPR resonance at g = 1.96. Using DFT calculations that account for the chemical environment and the high temperatures during the gas-phase synthesis in conjunction with control experiments with atomic hydrogen, we show that these paramagnetic defects correspond to neutral hydrogenated oxygen sites (OHO0). As a key implication of these findings, ZnO particle powders, although produced under pure gas-phase synthesis conditions and subsequently annealed in vacuum to 873 K, were found to be doped with hydrogen at a base concentration of 10-5 at% and higher. This, in turn, highlights the often-overlooked role of unwanted hydrogen in nanoscale ZnO as components for applications in optics, electronics, and sensing.
DOI: 10.15468/dl.snhsxz
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Geothelphusa ilan",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 29 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018564-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.73g27p
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhododendron nyingchiense"
 ]
}

 The dataset includes 22 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018565-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sv63yf
title: Occurrence Download

description: A dataset containing 8007360 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Australia",
 "HasCoordinate is true",
 "Year is 2013"
 ]
}

 The dataset includes 8007360 records from 298 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018475-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d2ge8x
title: Occurrence Download

description: A dataset containing 251 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Leersia hexandra",
 "Country is Colombia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 251 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018566-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17184864
title: DNA kinks from biased MD simulations

description: The dataset contains the necessary information supporting the findings of the study titled “Inferring Kinkability from Biased MD Simulations.” It includes: 



PDB files generated using cgDNA+,



Scripts for running RBB-NA molecular dynamics simulations,




Python scripts for WHAM analysis and figure generation.



The folder figure_crystal_structure contains PDB files for visualizing crystal structures, analyses performed via 3DNA, and the corresponding results in PDF format.

The folder simulations includes two data_guide files that explain the contents and provide instructions for reproducing the simulations. NOTE: the file in the control folder used in GROMACS preparation step and simulation (mdp files) are not present here. We used mdp files provided in RBB-NA github repository, available via the paper titled "Rigid Base Biasing in Molecular Dynamics enables enhanced sampling of DNA Conformations", see the references of the dataset.

For additional data, including output files from RBB-NA simulations (XTC and TPR formats), please contact the dataset creators.
DOI: 10.5281/zenodo.17184865
title: DNA kinks from biased MD simulations

description: The dataset contains the necessary information supporting the findings of the study titled “Inferring Kinkability from Biased MD Simulations.” It includes: 



PDB files generated using cgDNA+,



Scripts for running RBB-NA molecular dynamics simulations,




Python scripts for WHAM analysis and figure generation.



The folder figure_crystal_structure contains PDB files for visualizing crystal structures, analyses performed via 3DNA, and the corresponding results in PDF format.

The folder simulations includes two data_guide files that explain the contents and provide instructions for reproducing the simulations. NOTE: the file in the control folder used in GROMACS preparation step and simulation (mdp files) are not present here. We used mdp files provided in RBB-NA github repository, available via the paper titled "Rigid Base Biasing in Molecular Dynamics enables enhanced sampling of DNA Conformations", see the references of the dataset.

For additional data, including output files from RBB-NA simulations (XTC and TPR formats), please contact the dataset creators.
DOI: 10.15468/dl.pmxqxy
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Leersia hexandra",
 "Country is Comoros",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018567-250920141307145/datasets/export for details.
DOI: 10.15468/dl.afqnw4
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Leersia hexandra",
 "Country is Dominican Republic",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018568-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5164/iab.iabse0022.de.en.v1
title: IAB-Stellenerhebung – Version 0022 v1
title: IAB-SE 0022 v1
title: German Job Vacancy Survey of the IAB – Version 0022 v1

description: Die IAB-Stellenerhebung ist eine quartalsweise durchgeführte Betriebsbefragung, die repräsentativ das gesamtwirtschaftliche Stellenangebot in Deutschland abbildet. Sie ermittelt die Gesamtzahl aller offenen Stellen am Arbeitsmarkt, einschließlich jener Stellen, die nicht der Bundesagentur für Arbeit (BA) gemeldet werden. Darüber hinaus bietet sie Informationen über abgebrochene Suchvorgänge und die betrieblichen Einschätzungen aktueller arbeitsmarktpolitischer Entwicklungen.
description: The IAB Job Vacancy Survey is an establishment survey covering the entire unfilled labour demand in Germany. It identifies the entire number of vacancies on the German labour market, including those vacancies that are not reported to the Federal Employment Agency (FEA), Germany’s public employment service. Furthermore, it offers information on lapsed vacancies and on employers’ perceptions of recent labour market policy developments.
DOI: 10.57967/hf/6590
title: Cantonese-Web-Data
DOI: 10.15468/dl.esf4pz
title: Occurrence Download

description: A dataset containing 34 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Japan",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Alternanthera philoxeroides"
 ]
}

 The dataset includes 34 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018569-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.j00139.00266
title: Phylogenetic discordance is due to incomplete lineage sorting and pre-speciation introgression in the erosion-mediated radiation of Asian warty newts
title: Phylogenetic discordance is due to incomplete lineage sorting and pre-speciation introgression in the erosion-mediated radiation of Asian warty newts

description: In this study, we employed restriction-site associated DNA sequencing across five representative PCSG species and integrated data from previously published mitochondrial genomes to conduct a comprehensive phylogenomic analysis. 
description: In this study, we employed restriction-site associated DNA sequencing across five representative PCSG species and integrated data from previously published mitochondrial genomes to conduct a comprehensive phylogenomic analysis.
DOI: 10.15468/dl.d8wnjv
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Geothelphusa nanao",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 6 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018571-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xuhvgb
title: Occurrence Download

description: A dataset containing 190 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is South Africa",
 "GadmGid is ZAF.5.5_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Chiroptera"
 ]
}

 The dataset includes 190 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018570-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.17766.89921
title: Historical mannequins: bust 34, waist 24. VIDEO
DOI: 10.6084/m9.figshare.30198412
title: Data and Code for Chagumaira et al "Communicating expected uncertainty in a geostatistical survey"

description: R code for the analyses questionnaire contingency partition analysis presented by Chagumaira et al "Communicating uncertainties in spatial predictions of grain micronutrient concentration." The data provided with this script are anonymized and contain no personal information about participants in the study. This is in accordance with the terms under which ethical approval for the study which was granted by University of Nottingham School of Biosciences Research Ethics Committees (SBREC202122022FEO). We hold consent forms from all participants which record that they understand and have given informed consent to these terms. Note that oversight of research ethics for this work by the University of Nottingham was undertaken in agreement with research partners in Malawi and Ethiopia, where research into and capacity strengthening for research ethics for food system studies is part of the scope of the GeoNutrition Project (Bill and Melinda Gates Foundation, INV-009129).