cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.26747
title: Sustainability Abuja Retrospective Study (STARS)
title: Sustainability Abuja Retrospective Study (STARS)

description: This set of data includes qualitative interview transcripts, analysed transcripts, and documents that were retrieved related to a study on the sustainability of self-help groups in the context of leprosy in North Central Nigeria, 2020-2024.
description: This set of data includes qualitative interview transcripts, analysed transcripts, and documents that were retrieved related to a study on the sustainability of self-help groups in the context of leprosy in North Central Nigeria, 2020-2024.
DOI: 10.57760/sciencedb.26741
title: Biomarker data for the Jianghan Basin during the PETM
title: Biomarker data for the Jianghan Basin during the PETM

description: The data set includes three tables. Table S1: brGDGT-based temperature; Table S2: Compound-specific δ13C data; Table S3: Biomarker data.
description: The data set includes three tables. Table S1: brGDGT-based temperature; Table S2: Compound-specific δ13C data; Table S3: Biomarker data.
DOI: 10.15468/dl.n4r58p
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ulva adhaerens Matsumoto & Shimada, 2015",
 "Year 2000-2025"
 ]
}

 The dataset includes 25 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071311-250525065834625/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.29423492
title: DATABASE-ITAC

description: <b>Background/Objectives</b>: Sinonasal intestinal-type adenocarcinoma (ITAC) is a rare and aggressive tumor that grows silently with non-specific symptoms, which leads to late diagnosis, and are characterized by frequent local recurrence and a low survival rate. The stemness phenotype is one of the main causes leading to tumor proliferation, recurrence, and resistance to standard chemo/radiotherapy. <b>Methods</b>: In this study, genes encoding pluripotency-associated transcription factors, including KLF4, c-MYC, SOX2, OCT4 (Yamanaka factors), and NANOG were evaluated in malignant and non-malignant tissues of a cohort of 54 patients with ITAC and their expression have been related to patient outcome. <b>Results</b>: The KLF4, SOX2, and NANOG best distinguished cancer tissue from normal tissue with high sensibility and specificity. Low levels of KLF4, c-MYC and NANOG and high expression of SOX2 and OCT4 in tumor tissue correlated with a poor overall survival (OS) and disease-free survival (DFS) in univariate analysis. The multivariate analysis confirmed SOX2 as an independent prognostic factor for OS and DFS. <b>Conclusions</b>: These findings support the concept that the presence of a stemness phenotype in ITAC, may be associated with the clinical response to treatment.
DOI: 10.15468/dl.2g5gnr
title: Occurrence Download

description: A dataset containing 800 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (South America, North America)",
 "OccurrenceStatus is Present",
 "TaxonKey is Dolichospermum (Ralfs ex Bornet & Flahault) P.Wacklin, L.Hoffmann & J.Komárek, 2009"
 ]
}

 The dataset includes 800 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071313-250525065834625/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.29423492.v1
title: DATABASE-ITAC

description: <b>Background/Objectives</b>: Sinonasal intestinal-type adenocarcinoma (ITAC) is a rare and aggressive tumor that grows silently with non-specific symptoms, which leads to late diagnosis, and are characterized by frequent local recurrence and a low survival rate. The stemness phenotype is one of the main causes leading to tumor proliferation, recurrence, and resistance to standard chemo/radiotherapy. <b>Methods</b>: In this study, genes encoding pluripotency-associated transcription factors, including KLF4, c-MYC, SOX2, OCT4 (Yamanaka factors), and NANOG were evaluated in malignant and non-malignant tissues of a cohort of 54 patients with ITAC and their expression have been related to patient outcome. <b>Results</b>: The KLF4, SOX2, and NANOG best distinguished cancer tissue from normal tissue with high sensibility and specificity. Low levels of KLF4, c-MYC and NANOG and high expression of SOX2 and OCT4 in tumor tissue correlated with a poor overall survival (OS) and disease-free survival (DFS) in univariate analysis. The multivariate analysis confirmed SOX2 as an independent prognostic factor for OS and DFS. <b>Conclusions</b>: These findings support the concept that the presence of a stemness phenotype in ITAC, may be associated with the clinical response to treatment.
DOI: 10.57760/sciencedb.26750
title: DNA Sequences
title: DNA Sequences

description: The data provided is the sequence of DNAs used in the experiments. We have included a total of four DNA sequences, where two sequences are synthetic DNA oligos and 2 are actual human-based DNAs
description: The data provided is the sequence of DNAs used in the experiments. We have included a total of four DNA sequences, where two sequences are synthetic DNA oligos and 2 are actual human-based DNAs
DOI: 10.57760/sciencedb.26744
title: Dataset of effects of warming and nitrogen addition on soil phosphorus bioavailability in China's mountainous areas
title: 增温和氮添加对中国山地土壤磷生物有效性影响的数据集

description: This data was screened from papers published between 2000 and 2024 in China National Knowledge Infrastructure (CNKI) and Web of Science databases (keywords: warming, nitrogen addition/position, soil bioavailable phosphorus, soil phosphorus fractions), and two screening criteria were established: (1) the study must be conducted in situ simulated warming or nitrogen addition experiments in the field; (2) The research data information must be complete, including the average values and sample sizes of the selected variables in the control and treatment groups. After screening, it was found that there were only 4 foreign in-situ warming experimental studies that met the requirements. In order to avoid spatial non-uniformity of data, this study focuses on the results of relevant research in China, including 30 literature on warming, with a total of 98 data points; There are 82 literature on nitrogen addition, with a total of 422 data points. Extracting data includes: (1) latitude and longitude, climate factors, and altitude of the sample points; (2) Biological available phosphorus data, replicates, and standard deviation between the experimental group and the control group; (3) Variables such as soil physicochemical properties and ecosystem types; (4) Heating amplitude and nitrogen addition amount (type), heating temperature and nitrogen addition time and method. 
description: This data was screened from papers published between 2000 and 2024 in China National Knowledge Infrastructure (CNKI) and Web of Science databases (keywords: warming, nitrogen addition/position, soil bioavailable phosphorus, soil phosphorus fractions), and two screening criteria were established: (1) the study must be conducted in situ simulated warming or nitrogen addition experiments in the field; (2) The research data information must be complete, including the average values and sample sizes of the selected variables in the control and treatment groups. After screening, it was found that there were only 4 foreign in-situ warming experimental studies that met the requirements. In order to avoid spatial non-uniformity of data, this study focuses on the results of relevant research in China, including 30 literature on warming, with a total of 98 data points; There are 82 literature on nitrogen addition, with a total of 422 data points. Extracting data includes: (1) latitude and longitude, climate factors, and altitude of the sample points; (2) Biological available phosphorus data, replicates, and standard deviation between the experimental group and the control group; (3) Variables such as soil physicochemical properties and ecosystem types; (4) Heating amplitude and nitrogen addition amount (type), heating temperature and nitrogen addition time and method.
DOI: 10.15468/dl.pkw3rf
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ephemeroptera",
 "Geometry POLYGON ((15.6372 -28.0032, 16.2782 -28.5786, 20.509 -28.5786, 20.509 -24.0715, 15.4933 -24.0715, 15.4945 -24.1257, 16.0509 -25.6631, 15.6372 -28.0032))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is Human Observation"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071315-250525065834625/datasets/export for details.
DOI: 10.15468/dl.9vuw65
title: Occurrence Download

description: A dataset containing 94 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aetomylaeus bovinus (Geoffroy Saint-Hilaire, 1817)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Specimen, Material sample)"
 ]
 }
 },
 "CoordinateUncertaintyInMeters is less than 10000"
 ]
}

 The dataset includes 94 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005476-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vdc6xm
title: Occurrence Download

description: A dataset containing 215330 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Alopecurus geniculatus L.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 215330 records from 857 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000912-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48366/r1362623
title: Rethinking the production and publication of machine-readable expressions of research findings

description: Description of the use cases published in the upcoming paper by Stocker et al. titled "Rethinking the production and publication of machine-readable expressions of research findings" (to appear in Scientific Data).
DOI: 10.15468/dl.rqktn7
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Portugal",
 "OccurrenceStatus is Present",
 "TaxonKey is Astragalus glycyphyllos L.",
 "Year 1975-2025"
 ]
}

 The dataset includes 15 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000933-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k2xpx4
title: Occurrence Download

description: A dataset containing 1169301 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Lauraceae)"
 ]
}

 The dataset includes 1169301 records from 2626 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000926-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1064941.10fu
title: SH1064941.10FU

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/sh1064942.10fu
title: SH1064942.10FU

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/sh1064943.10fu
title: SH1064943.10FU

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/sh1064944.10fu
title: SH1064944.10FU

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/sh1064945.10fu
title: SH1064945.10FU

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/sh1064951.10fu
title: SH1064951.10FU

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/sh1064952.10fu
title: SH1064952.10FU

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/sh1064959.10fu
title: SH1064959.10FU

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/sh1064961.10fu
title: SH1064961.10FU

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/sh1064975.10fu
title: SH1064975.10FU

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.