cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.26023/m8jn-53sx-s211
title: UAH MIPS 915 MHz Profiler Raw Consensus Wind Data. Version 1.0

description: This data set contains raw, non-quality controlled 30 minute resolution consensus wind data from the UAH MIPS 915 MHz profiler collected during the Ontario Winter Lake-effect Systems (OWLeS) project conducted from 6 December 2013 through 28 January 2014. The data were provided by the University of Alabama-Huntsville and are in a columnar ASCII format. The quality controlled data are available in the MIPS 915 MHz Profiler NIMA-processed Consensus Wind Data set.
DOI: 10.15468/dl.h6p2g8
title: Occurrence Download

description: A dataset containing 5003 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "TaxonKey is Trifolium saxatile"
 ]
}

 The dataset includes 5003 records from 85 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041201-250920141307145/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.25530336.v1
title: Additional file 1 of Harnessing alkaline-pH regulatable promoters for efficient methanol-free expression of enzymes of industrial interest in Komagataella Phaffii

description: Additional file 1 (xlsx): Oligonucleotides used in this work
DOI: 10.15468/dl.dqccst
title: Occurrence Download

description: A dataset containing 114321 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is INSDC Host Organism Sequences",
 "TaxonKey is Pisuviricota"
 ]
}

 The dataset includes 114321 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072883-240626123714530/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.25530306
title: Additional file 1 of Prioritizing susceptibility genes for the prognosis of male-pattern baldness with transcriptome-wide association study

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.25530306.v1
title: Additional file 1 of Prioritizing susceptibility genes for the prognosis of male-pattern baldness with transcriptome-wide association study

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.25530399
title: Additional file 2 of Prioritizing susceptibility genes for the prognosis of male-pattern baldness with transcriptome-wide association study

description: Supplementary Material 2
DOI: 10.6084/m9.figshare.25530399.v1
title: Additional file 2 of Prioritizing susceptibility genes for the prognosis of male-pattern baldness with transcriptome-wide association study

description: Supplementary Material 2
DOI: 10.6084/m9.figshare.25530402
title: Additional file 2 of Unveiling the therapeutic potential of Dl-3-n-butylphthalide in NTG-induced migraine mouse: activating the Nrf2 pathway to alleviate oxidative stress and neuroinflammation

description: Supplementary Material 2.
DOI: 10.6084/m9.figshare.25530402.v1
title: Additional file 2 of Unveiling the therapeutic potential of Dl-3-n-butylphthalide in NTG-induced migraine mouse: activating the Nrf2 pathway to alleviate oxidative stress and neuroinflammation

description: Supplementary Material 2.
DOI: 10.6084/m9.figshare.26700859
title: Additional file 8 of Insights for disease modeling from single-cell transcriptomics of iPSC-derived Ngn2-induced neurons and astrocytes across differentiation time and co-culture

description: Additional file 8: SuppTable1. Significantly differentially expressed genes for each cluster compared with the remaining clusters of the same cell type (neuronal or astrocytic).
DOI: 10.6084/m9.figshare.26700859.v1
title: Additional file 8 of Insights for disease modeling from single-cell transcriptomics of iPSC-derived Ngn2-induced neurons and astrocytes across differentiation time and co-culture

description: Additional file 8: SuppTable1. Significantly differentially expressed genes for each cluster compared with the remaining clusters of the same cell type (neuronal or astrocytic).
DOI: 10.6084/m9.figshare.26700868
title: Additional file 11 of Insights for disease modeling from single-cell transcriptomics of iPSC-derived Ngn2-induced neurons and astrocytes across differentiation time and co-culture

description: Additional file 11:  SuppTable4. Differential expression analysis between hiPSC-N and hiPSC-A.
DOI: 10.6084/m9.figshare.26700868.v1
title: Additional file 11 of Insights for disease modeling from single-cell transcriptomics of iPSC-derived Ngn2-induced neurons and astrocytes across differentiation time and co-culture

description: Additional file 11:  SuppTable4. Differential expression analysis between hiPSC-N and hiPSC-A.
DOI: 10.6084/m9.figshare.26700871.v1
title: Additional file 12 of Insights for disease modeling from single-cell transcriptomics of iPSC-derived Ngn2-induced neurons and astrocytes across differentiation time and co-culture

description: Additional file 12: SuppTable5. Differential expression analysis between hiPSC-N15 and hiPSC-N21.
DOI: 10.6084/m9.figshare.26700871
title: Additional file 12 of Insights for disease modeling from single-cell transcriptomics of iPSC-derived Ngn2-induced neurons and astrocytes across differentiation time and co-culture

description: Additional file 12: SuppTable5. Differential expression analysis between hiPSC-N15 and hiPSC-N21.
DOI: 10.6084/m9.figshare.26700880
title: Additional file 15 of Insights for disease modeling from single-cell transcriptomics of iPSC-derived Ngn2-induced neurons and astrocytes across differentiation time and co-culture

description: Additional file 15: SuppTable6. GWAS genes differing in expression between different conditions.
DOI: 10.6084/m9.figshare.26700880.v1
title: Additional file 15 of Insights for disease modeling from single-cell transcriptomics of iPSC-derived Ngn2-induced neurons and astrocytes across differentiation time and co-culture

description: Additional file 15: SuppTable6. GWAS genes differing in expression between different conditions.
DOI: 10.6084/m9.figshare.26700883
title: Additional file 16 of Insights for disease modeling from single-cell transcriptomics of iPSC-derived Ngn2-induced neurons and astrocytes across differentiation time and co-culture

description: Additional file 16: SuppTable7. Differential expression analysis between hiPSC-N21 and hiPSC-N21A.
DOI: 10.6084/m9.figshare.26700883.v1
title: Additional file 16 of Insights for disease modeling from single-cell transcriptomics of iPSC-derived Ngn2-induced neurons and astrocytes across differentiation time and co-culture

description: Additional file 16: SuppTable7. Differential expression analysis between hiPSC-N21 and hiPSC-N21A.
DOI: 10.6084/m9.figshare.26700898
title: Additional file 21 of Insights for disease modeling from single-cell transcriptomics of iPSC-derived Ngn2-induced neurons and astrocytes across differentiation time and co-culture

description: Additional file 21: SuppTable9 PANTHER bioinformatics analysis of genes expressed significantly higher in hiPSC-A0 than hiPSC-AN21.
DOI: 10.6084/m9.figshare.26700898.v1
title: Additional file 21 of Insights for disease modeling from single-cell transcriptomics of iPSC-derived Ngn2-induced neurons and astrocytes across differentiation time and co-culture

description: Additional file 21: SuppTable9 PANTHER bioinformatics analysis of genes expressed significantly higher in hiPSC-A0 than hiPSC-AN21.
DOI: 10.6084/m9.figshare.25530205
title: Additional file 1 of Joint application of A-InDels and miniSTRs for forensic personal, full and half sibling identifications, and genetic differentiation analyses in two populations from China

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.25530205.v1
title: Additional file 1 of Joint application of A-InDels and miniSTRs for forensic personal, full and half sibling identifications, and genetic differentiation analyses in two populations from China

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.25530339
title: Additional file 1 of Regulatory mechanisms of autophagy on DHA and carotenoid accumulation in Crypthecodinium sp. SUN

description: Additional file 1: Table S1. The RNA-seq data of the genes involved in the selected biological pathways. After KEGG enrichment analysis of the significant differential genes between 3-MA and control groups, several pathways including autophagy signaling pathway, starch and lipid metabolism, glycolysis, pentose phosphate pathway, TCA cycle, MEP, MVA, and carotenoid biosynthesis pathways were focused. Details about genes information and expression levels were listed in the table.
DOI: 10.6084/m9.figshare.25530339.v1
title: Additional file 1 of Regulatory mechanisms of autophagy on DHA and carotenoid accumulation in Crypthecodinium sp. SUN

description: Additional file 1: Table S1. The RNA-seq data of the genes involved in the selected biological pathways. After KEGG enrichment analysis of the significant differential genes between 3-MA and control groups, several pathways including autophagy signaling pathway, starch and lipid metabolism, glycolysis, pentose phosphate pathway, TCA cycle, MEP, MVA, and carotenoid biosynthesis pathways were focused. Details about genes information and expression levels were listed in the table.
DOI: 10.6084/m9.figshare.25530414
title: Additional file 2 of Correlation of distribution characteristics and dynamic changes of gut microbiota with the efficacy of immunotherapy in EGFR-mutated non-small cell lung cancer

description: Additional file 2: Table S1. Univariate and Multivariate Analysis of Clinical parameters on PFS. Table S2. Univariate and Multivariate Analysis of Clinical parameters on OS. Table S3. Baseline demographic characteristics between R and NR groups
DOI: 10.6084/m9.figshare.25530414.v1
title: Additional file 2 of Correlation of distribution characteristics and dynamic changes of gut microbiota with the efficacy of immunotherapy in EGFR-mutated non-small cell lung cancer

description: Additional file 2: Table S1. Univariate and Multivariate Analysis of Clinical parameters on PFS. Table S2. Univariate and Multivariate Analysis of Clinical parameters on OS. Table S3. Baseline demographic characteristics between R and NR groups
DOI: 10.6084/m9.figshare.26701000
title: Additional file 3 of Genomic evidence for human-mediated introgressive hybridization and selection in the developed breed

description: Supplementary Material 3
DOI: 10.6084/m9.figshare.26701000.v1
title: Additional file 3 of Genomic evidence for human-mediated introgressive hybridization and selection in the developed breed

description: Supplementary Material 3
DOI: 10.6084/m9.figshare.25530279
title: Additional file 1 of Association of birth weight with type 2 diabetes mellitus and the mediating role of fatty acids traits: a two-step mendelian randomization study

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.25530279.v1
title: Additional file 1 of Association of birth weight with type 2 diabetes mellitus and the mediating role of fatty acids traits: a two-step mendelian randomization study

description: Supplementary Material 1
DOI: 10.15468/dl.mdk8sy
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Kenya",
 "TaxonKey is Oligoneuriopsis Crass, 1947"
 ]
}

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072889-240626123714530/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.26701096
title: Additional file 3 of Single cell analysis reveals the roles and regulatory mechanisms of type-I interferons in Parkinson’s disease

description: Additional file 3:. Table S5. In silico gene perturbation analysis results with Geneformer.
DOI: 10.6084/m9.figshare.26701096.v1
title: Additional file 3 of Single cell analysis reveals the roles and regulatory mechanisms of type-I interferons in Parkinson’s disease

description: Additional file 3:. Table S5. In silico gene perturbation analysis results with Geneformer.
DOI: 10.25582/data.2024-02.3033852/2548664
title: Data for EMSL Project 60579 from February 2024
DOI: 10.25582/data.2024-02.3033853/2548665
title: Data for EMSL Project 60579 from February 2024
DOI: 10.25582/data.2024-02.3033854/2548666
title: Data for EMSL Project 60579 from February 2024
DOI: 10.25582/data.2024-02.3033855/2548667
title: Data for EMSL Project 60579 from February 2024
DOI: 10.25582/data.2024-02.3033860/2548668
title: Data for EMSL Project 60579 from February 2024
DOI: 10.25582/data.2024-02.3033862/2548669
title: Data for EMSL Project 60579 from February 2024
DOI: 10.25582/data.2024-02.3033863/2548670
title: Data for EMSL Project 60579 from February 2024
DOI: 10.25582/data.2024-02.3033864/2548671
title: Data for EMSL Project 60579 from February 2024
DOI: 10.25582/data.2024-02.3033865/2548672
title: Data for EMSL Project 60579 from February 2024
DOI: 10.25582/data.2024-02.3033871/2548673
title: Data for EMSL Project 60579 from February 2024
DOI: 10.25582/data.2024-02.3033872/2548674
title: Data for EMSL Project 60579 from February 2024
DOI: 10.25582/data.2024-02.3033874/2548675
title: Data for EMSL Project 60579 from February 2024
DOI: 10.15156/bio/sh0201970.10fu
title: SH0201970.10FU

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/sh0201971.10fu
title: SH0201971.10FU

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/sh0201972.10fu
title: SH0201972.10FU

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/sh0201973.10fu
title: SH0201973.10FU

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/sh0201974.10fu
title: SH0201974.10FU

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/sh0201975.10fu
title: SH0201975.10FU

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/sh0201976.10fu
title: SH0201976.10FU

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/sh0201977.10fu
title: SH0201977.10FU

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/sh0201978.10fu
title: SH0201978.10FU

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.