cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1413082.10fu
title: SH1413082.10FU

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/sh1413083.10fu
title: SH1413083.10FU

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/sh1413085.10fu
title: SH1413085.10FU

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/sh1413086.10fu
title: SH1413086.10FU

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/sh1413089.10fu
title: SH1413089.10FU

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/sh1413092.10fu
title: SH1413092.10FU

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/sh1413094.10fu
title: SH1413094.10FU

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/sh1413096.10fu
title: SH1413096.10FU

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/sh1413097.10fu
title: SH1413097.10FU

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/sh1413098.10fu
title: SH1413098.10FU

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.wpab9r
title: Occurrence Download

description: A dataset containing 2121 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Barlia robertiana",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Observation, Occurrence evidence)",
 "OccurrenceStatus is Present",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2121 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024642-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.11588/duerer.online.6911b9e05506b
title: Maria mit der Sternenkrone, https://d-nb.info/gnd/1062918959
DOI: 10.15468/dl.zrefuq
title: Occurrence Download

description: A dataset containing 2716 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "Country is Eritrea",
 "License is one of (CC-BY 4.0, CC-BY-NC 4.0, CC0 1.0)",
 "OccurrenceStatus is Present",
 "TaxonKey is Insecta"
 ]
}

 The dataset includes 2716 records from 85 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024645-251025141854904/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.28796129.v4
title: Supplementary Data S2 - DESeq2 result tables of all datasets analyzed along with flag columns for each of the 8 GO terms used throughout the manuscript. Metadata on the GO terms is included in the sheet "GO_metadata".

description: Supplementary Data S2 of the manuscript "<b>Hypoxia leads to reduced mito-nuclear gene expression and to increased mtDNA transcriptional pausing in human cells</b>" by Shtolz et al.DESeq2 "result" output. Main columns:<b>Name:</b> gene symbol<b>baseMean</b>: Mean normalized expression across all samples<b>log2FoldChange</b>: log<sub>2</sub> fold-change between treatment (hypoxia) and control (normoxia).<b>lfcSE</b>: Standard error of the log<sub>2 </sub>fold-change<b>stat</b>: Negative binomial test statistic.<b>p-value</b><b>padj:</b> Benjamin-Hodgkin-adjusted p-value<b>dataset</b>: Name of the dataset<b>cell line</b><b>Complex</b>: Complex association of gene (either complex I, II, III, IV and V of OXPHOS or the mito-ribosome)<b>Genome</b>: Genome of the gene (NUC for nucleus or MT for mitochondrial DNA).<b>ensembl.gene</b>: Ensemble gene ID.Data used to generate Figures 1, 2, 3a-c, 4a, 4b and 4e, and Supplementary Figures S1, S2, S5, S6 and S7.
DOI: 10.6084/m9.figshare.30273856.v2
title: Supplementary Data S4 - HIF1A K.O and hypoxia in HCT-116 cells

description: Supplementary Data S4 of the manuscript "<b>Hypoxia leads to reduced mito-nuclear gene expression and to increased mtDNA transcriptional pausing in human cells</b>" by Shtolz et al.DESeq2 "result" output on PRJNA607557. Main columns:<b>Name:</b> gene symbol<b>baseMean</b>: Mean normalized expression across all samples<b>log2FoldChange</b>: log<sub>2</sub> fold-change between treatment (hypoxia) and control (normoxia).<b>lfcSE</b>: Standard error of the log<sub>2</sub><sub> </sub>fold-change<b>stat</b>: Negative binomial test statistic.<b>p-value</b><b>padj:</b> Benjamin-Hodgkin-adjusted p-value<b>dataset</b>: Name of the dataset<b>cell line</b><b>Complex</b>: Complex association of gene (either complex I, II, III, IV and V of OXPHOS or the mito-ribosome)<b>Genome</b>: Genome of the gene (NUC for nucleus or MT for mitochondrial DNA).<b>ensembl.gene</b>: Ensemble gene ID.Data used to generate Fig. 4c,d and Supplementary Fig. S8a,b.
DOI: 10.48544/58574b51-b756-4384-962d-20ae61ca34f1
title: Jonge Zeeuwen in beweging
DOI: 10.17028/rd.lboro.30547811
title: The dataset for Developing a scale for the Chinese football talent development environment

description: The dataset for developing a scale for the Chinese football talent development environment.© the authors
DOI: 10.17028/rd.lboro.30547811.v1
title: The dataset for Developing a scale for the Chinese football talent development environment

description: The dataset for developing a scale for the Chinese football talent development environment.© the authors
DOI: 10.5281/zenodo.16368575
title: Estimation of degradation indices of drylands

description: The aim of the database is to improve the understanding of CO₂ ecosystem-atmosphere exchange and provide more information about the degradation level of drylands. The dataset includes the following variables: date, time, LE (latent heat flux), CO₂ flux, rainfall, and NDVI.
DOI: 10.5281/zenodo.16368576
title: Estimation of degradation indices of drylands

description: The aim of the database is to improve the understanding of CO₂ ecosystem-atmosphere exchange and provide more information about the degradation level of drylands. The dataset includes the following variables: date, time, LE (latent heat flux), CO₂ flux, rainfall, and NDVI.
DOI: 10.15468/dl.bbzh5b
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Continent is Africa",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Dalechampia parvifolia"
 ]
}

 The dataset includes 20 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024648-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26165/juelich-data/fekkss
title: Operational Data of a 100 kW Proton Exchange Membrane (PEM) Electrolyzer: Collection 2018–2023

description: This data set contains detailed measurement and set point data from a 100 kW Proton Exchange Membrane (PEM) electrolyzer test rig developed at IET-4, covering the period 2018–2023 with approximately 200 individual data sets. The system was operated under a wide range of user-defined load profiles, e.g. wind power and photovoltaic (PV). All relevant operational data (~120 measurement values) were continuously recorded, including electrical characteristics (voltage and current), temperature distributions, gas flow rates, and efficiency metrics, as well as auxiliary parameters required for detailed system assessment. The data collection campaign was designed to support systematic investigations on electrochemical performance, thermal behavior, start-up and ramping dynamics, and system efficiency. It further enables research on advanced thermal control strategies [1], transient behavior during start-up phases [2], dynamic system modeling [3], data-driven operational optimization [4], and efficiency evaluation [5]. In addition, the dataset provides a robust foundation for material degradation studies, system design optimization, and the development of advanced control loops and operational strategies. More detailed information on the 100 kW PEM electrolyzer test rig can be found in the referenced publications. Information on the structure and organization of the data and the process flow diagram can be found in the the folder "Documentation".
DOI: 10.6084/m9.figshare.30580091
title: Data for article Signatures of Io Plasma Torus-Induced Ultra Low Frequency Waves in the Jupiter’s Polar Magnetosphere

description: It is the dataset for article Signatures of Io Plasma Torus-Induced Ultra Low Frequency Waves in the Jupiter’s Polar Magnetosphere.
DOI: 10.6084/m9.figshare.30580091.v1
title: Data for article Signatures of Io Plasma Torus-Induced Ultra Low Frequency Waves in the Jupiter’s Polar Magnetosphere

description: It is the dataset for article Signatures of Io Plasma Torus-Induced Ultra Low Frequency Waves in the Jupiter’s Polar Magnetosphere.
DOI: 10.7910/dvn/pppbgm
title: Replication Data for: "Housing and Non-housing Debt: a Decomposition Analysis for Spanish Households"

description: This repository includes files used in the ellaboration of the paper "Spanish Household Debt Portfolios: a Decomposition Analysis" by Carlos Aller (Universidad de Granada) and Charles Grant (Brunel Uniiversity London)
DOI: 10.48544/e60d36a3-c627-4016-b998-0d52e5ccc249
title: Toekomende tijd - 2025
DOI: 10.23634/mmu.00640367
title: Dietary analysis of adults with Charcot Marie tooth disease

description: Abstract is omitted due to similarity searches pre-publication
DOI: 10.15468/dl.s87va2
title: Occurrence Download

description: A dataset listing the 8431 species recorded in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON((-72.44378 43.18278,-72.46081 43.09955,-72.54214 42.98606,-72.5743 42.87635,-72.5062 42.74961,-71.81578 42.75529,-71.8328 42.88391,-71.87064 42.99173,-71.91603 43.09577,-72.26598 43.19035,-72.44378 43.18278))"
 ]
}

 The dataset's 8431 records were derived from 305 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024641-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r5nfje
title: Occurrence Download

description: A dataset containing 1765 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Narcissus asturiensis"
 ]
}

 The dataset includes 1765 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024650-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17569970
title: Positive Education as a Global Movement: Trends, Networks, and Conceptual Convergence
DOI: 10.5281/zenodo.17569971
title: Positive Education as a Global Movement: Trends, Networks, and Conceptual Convergence
DOI: 10.5281/zenodo.16894496
title: Dataset from the paper "Spray Deposition of Adhesive Polydopamine and Tannic Acid Films for the Metallization of Plastics: Optimization via Design of Experiments"
DOI: 10.5281/zenodo.16894495
title: Dataset from the paper "Spray Deposition of Adhesive Polydopamine and Tannic Acid Films for the Metallization of Plastics: Optimization via Design of Experiments"
DOI: 10.15468/dl.zqqh85
title: Occurrence Download

description: A dataset containing 6937 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-6.036 43.404,-5.963 43.404,-5.963 43.495,-6.036 43.495,-6.036 43.404))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 6937 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024651-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.24030.91205
title: Uji t komperatif
DOI: 10.15468/dl.5rzy5h
title: Occurrence Download

description: A dataset containing 94107613 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Spain"
 ]
}

 The dataset includes 94107613 records from 2933 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024591-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.glytnb
title: Occurrence Download

description: A dataset containing 1769 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "TaxonKey is Cercidium",
 "TaxonKey is Cercidium Tul."
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1769 records from 69 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063665-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bkbvaf
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013874-151016162008034/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.