cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25384/sage.21913371
title: sj-xlsx-1-smo-10.1177_20503121221143646 – Supplemental material for In-hospital mortality from acute coronary syndrome in Africa: a systematic review and meta-analysis

description: Supplemental material, sj-xlsx-1-smo-10.1177_20503121221143646 for In-hospital mortality from acute coronary syndrome in Africa: a systematic review and meta-analysis by Fuad Adem, Semir Abdi, Firehiwot Amare and Mohammed A Mohammed in SAGE Open Medicine
DOI: 10.25384/sage.21913422
title: sj-xlsx-1-sgo-10.1177_21582440221148389 – Supplemental material for Institutional Quality, Foreign Direct Investment, and Regional Integration: Empirical Evidence From CEN-SAD

description: Supplemental material, sj-xlsx-1-sgo-10.1177_21582440221148389 for Institutional Quality, Foreign Direct Investment, and Regional Integration: Empirical Evidence From CEN-SAD by Enoch Kwaw-Nimeson and Ze Tian in SAGE Open
DOI: 10.25384/sage.21916767.v1
title: sj-csv-1-hij-10.1177_19401612211006702 - Supplemental material for Fit for Purpose? Exploring the Role of Freedom of Information Laws and Their Application for Watchdog Journalism

description: Supplemental material, sj-csv-1-hij-10.1177_19401612211006702 for Fit for Purpose? Exploring the Role of Freedom of Information Laws and Their Application for Watchdog Journalism by Mária Žuffová in The International Journal of Press/Politics
DOI: 10.25384/sage.23639689
title: sj-xlsx-4-pss-10.1177_09567976221140326 – Supplemental material for Chimpanzee and Human Risk Preferences Show Key Similarities

description: Supplemental material, sj-xlsx-4-pss-10.1177_09567976221140326 for Chimpanzee and Human Risk Preferences Show Key Similarities by Lou M. Haux, Jan M. Engelmann, Ruben C. Arslan, Ralph Hertwig and Esther Herrmann in Psychological Science
DOI: 10.15468/dl.u9eb66
title: Occurrence Download

description: A dataset containing 61849 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Fagopyrum esculentum Moench"
 ]
}

 The dataset includes 61849 records from 764 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0106159-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25384/sage.20010312
title: sj-xlsx-4-fac-10.1177_27325016221102512 – Supplemental material for Review of Current Morphometric Standards in Craniosynostosis

description: Supplemental material, sj-xlsx-4-fac-10.1177_27325016221102512 for Review of Current Morphometric Standards in Craniosynostosis by Jason Kreinces, Joseph DeSimone, Gillian Graifman and Elizabeth Zellner in FACE
DOI: 10.25384/sage.21913422.v1
title: sj-xlsx-1-sgo-10.1177_21582440221148389 – Supplemental material for Institutional Quality, Foreign Direct Investment, and Regional Integration: Empirical Evidence From CEN-SAD

description: Supplemental material, sj-xlsx-1-sgo-10.1177_21582440221148389 for Institutional Quality, Foreign Direct Investment, and Regional Integration: Empirical Evidence From CEN-SAD by Enoch Kwaw-Nimeson and Ze Tian in SAGE Open
DOI: 10.25384/sage.19679183.v1
title: sj-xlsx-1-jah-10.1177_08982643221078740 – Supplemental Material for Trajectories of Insomnia Symptoms Among Aging Employees and Their Associations With Memory, Learning Ability, and Concentration After Retirement - A Prospective Cohort Study (2000–2017)

description: Supplemental Material, sj-xlsx-1-jah-10.1177_08982643221078740 for Trajectories of Insomnia Symptoms Among Aging Employees and Their Associations With Memory, Learning Ability, and Concentration After Retirement - A Prospective Cohort Study (2000–2017) by Antti Etholén, Olli Pietiläinen, Anne Kouvonen, Mirja Hänninen, Ossi Rahkonen and Tea Lallukka in Journal of Aging and Health
DOI: 10.25384/sage.19914396
title: sj-xlsx-2-qjp-10.1177_17470218221097047 – Supplemental material for Thinking about neither death nor poverty affects delay discounting, but episodic foresight does: Three replications of the effects of priming on time preferences

description: Supplemental material, sj-xlsx-2-qjp-10.1177_17470218221097047 for Thinking about neither death nor poverty affects delay discounting, but episodic foresight does: Three replications of the effects of priming on time preferences by Richard J Tunney and Jodie N Raybould in Quarterly Journal of Experimental Psychology
DOI: 10.25384/sage.19914396.v1
title: sj-xlsx-2-qjp-10.1177_17470218221097047 – Supplemental material for Thinking about neither death nor poverty affects delay discounting, but episodic foresight does: Three replications of the effects of priming on time preferences

description: Supplemental material, sj-xlsx-2-qjp-10.1177_17470218221097047 for Thinking about neither death nor poverty affects delay discounting, but episodic foresight does: Three replications of the effects of priming on time preferences by Richard J Tunney and Jodie N Raybould in Quarterly Journal of Experimental Psychology
DOI: 10.17632/hrjsfnpng7.1
title: Mango dataset-2(Guiqi,Jinhuang,Tainong,aomang)

description: This is a dataset of mangoes in a natural orchard environment, including four species that Guiqi, Jinhuang, Tainong and aomang. It was uploaded in two parts, and this is the second.
DOI: 10.17632/3c3gpfhxpg.1
title: QA Durga (Membaca Durga)

description: This corpus was built and compiled based on a book entitled "Reading Durga" which was then made into question-answer pairings using Indonesian. The corpus contains more than 30,000 words in question and answer pairs. The data was collected as text in .xlsx format.
DOI: 10.17632/7yw6h8cmzj.1
title: Household Food Insecurity Access Scale Measurement on Rural Households and their Copping Strategies in Hulet Eju Enesie District, North-western Ethiopia: Data Article

description: This data represents a cross-sectional dataset on household's food insecurity collected using structured questionnaire adapted from Coates et al. (2007) and WFP (2012).
DOI: 10.15468/dl.9v2g7q
title: Occurrence Download

description: A dataset containing 24162 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "TaxonKey is Helianthus annuus L."
 ]
}

 The dataset includes 24162 records from 221 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083649-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25345/c50r9mf8n
title: MassIVE MSV000094452 - ZBTB7A and KDM5 activity co-regulate NF-kB target gene expression and oxidative phosphorylation in triple negative breast cancer
title: We previously described that the KDM5B histone H3 lysine 4 (H3K4) demethylase is an oncogene in estrogen receptor-positive breast cancer. Here we report that KDM5A is amplified and overexpressed in basal breast tumors and is associated with chemotherapy resistance. Using CRISPR knockout viability screens -/+ KDM5 inhibition (KDM5i), we found that deletion of the ZBTB7A transcription factor and core SAGA complex sensitized to KDM5i, whereas knockout of RHO-GTPases led to resistance. ChIP-seq and RNA-seq analyses revealed colocalization of ZBTB7A and KDM5A/B at promoters with high H3K4me3 and dependence of KDM5A binding on ZBTB7A. ZBTB7A knockout altered transcriptional response to KDM5i specifically at NF-kB target genes, oxidative phosphorylation, and E2F-driven proliferation pathways. Our work furthers understanding of KDM5-mediated gene regulation in breast cancer and identified key pathways mediating sensitivity to KDM5i.
DOI: 10.15468/dl.3abfrh
title: Occurrence Download

description: A dataset containing 2983 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhamnus parvifolia Bunge",
 "Country is China",
 "Year is greater than or equal to 1900",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2983 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083652-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pauysr
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Achillea odorata L.",
 "HasCoordinate is true",
 "Country is Iceland",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000",
 "CoordinateUncertaintyInMeters is less than 10000"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083655-240321170329656/datasets/export for details.
DOI: 10.17632/tgn8xwdr8v.1
title: Screening dataset of food components that inhibit transcriptional activity of FOXO1

description: List of food-derived and natural compounds and their values of reporter activity as FOXO1-transcriptional inhibitors. Vehicle alone serves as the reference value (set as 100). Data are expressed as mean ± SE (No.1-404: N = 3, No. 405-524: N = 2). Statistical analyses were performed using the Student's two-tailed unpaired t-test. ***P &lt; 0.001, **P &lt; 0.01, *P &lt; 0.05 compared with the samples in the presence of vehicle alone.

HEK293T cells were transfected with GAL4-FOXO1 or GAL4-FOXO3a, (UAS)4-Luc and phRL-TK Luc. Each compound was added and incubated for 20 h and luciferase assay was performed. Final concentrations: 1 nM, 10 nM, 100 nM, 1 µM, 10 µM. Data are expressed as mean ± SE (N = 4). Statistical analyses were performed using 1-way analysis of variance (ANOVA) with Dunnett’s post-hoc test. ***P &lt; 0.001, **P &lt; 0.01, *P &lt; 0.05 compared with the samples in the presence of vehicle alone.
DOI: 10.15468/dl.yetucw
title: Occurrence Download

description: A dataset containing 964 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Aythya baeri (Radde, 1863)"
 ]
}

 The dataset includes 964 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083653-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zxvzrz
title: Occurrence Download

description: A dataset containing 75 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Candida auris Satoh & Makimura, 2009"
 ]
}

 The dataset includes 75 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083654-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n3mz96
title: Occurrence Download

description: A dataset containing 561 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Month is one of (June, July, August)",
 "OccurrenceStatus is Present",
 "TaxonKey is Vermivora chrysoptera (Linnaeus, 1766)"
 ]
}

 The dataset includes 561 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083656-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pxha73
title: Occurrence Download

description: A dataset containing 72047 records in GBIF matching the query:
SELECT datasetKey, countryCode, COUNT(*) FROM occurrence WHERE continent = 'EUROPE' GROUP BY datasetKey, countryCode

 The dataset's 72047 records were derived from 35265 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082833-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1764879.08fu
title: SH1764879.08FU

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/sh1764880.08fu
title: SH1764880.08FU

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/sh398734.07fu
title: SH398734.07FU

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/sh398735.07fu
title: SH398735.07FU

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/sh1764881.08fu
title: SH1764881.08FU

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/sh1764882.08fu
title: SH1764882.08FU

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/sh1764883.08fu
title: SH1764883.08FU

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/sh398736.07fu
title: SH398736.07FU

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/sh398737.07fu
title: SH398737.07FU

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/sh1764884.08fu
title: SH1764884.08FU

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.