cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13139/olcf/1819195
title: Matrix Product (GEMM) Performance Data from GPUs

description: Timing data for mixed precision GEMM matrix product operations on several GPU models, including NVIDIA V100 and A100, AMD MI100 and Intel P580. Also data from machine learning model training on this data using Scikit-learn.
DOI: 10.6084/m9.figshare.14872095.v1
title: Illumina metagenomics workflow test files

description: Test files for my illumina metagenomics workflow
DOI: 10.6084/m9.figshare.16599453
title: Additional file 2 of Genome-wide identification of endogenous viral sequences in alfalfa (Medicago sativa L.)

description: Additional file 2. Table S1, page 1: Coordinates of the M. sativa genomic regions homologous to the SbCMV and FMV sequences. Table S1, page 2: PCR primers used for confirmation of randomly selected endogenous viral sequences
DOI: 10.6084/m9.figshare.16599453.v1
title: Additional file 2 of Genome-wide identification of endogenous viral sequences in alfalfa (Medicago sativa L.)

description: Additional file 2. Table S1, page 1: Coordinates of the M. sativa genomic regions homologous to the SbCMV and FMV sequences. Table S1, page 2: PCR primers used for confirmation of randomly selected endogenous viral sequences
DOI: 10.6084/m9.figshare.16599477
title: Additional file 2 of Maximizing genetic representation in seed collections from populations of self and cross-pollinated banana wild relatives

description: Additional file 2: Table S1. Populations and samples used. Table S2. Microsatellite markers and multiplexes used. Table S3. Microsatellite summary statistics per locus. Number of alleles; 1-D, Simpson's index; Hexp, Nei's 1978 gene diversity; Evenness; species. Table S4. Null allele analysis for Musa acuminata loci.
DOI: 10.6084/m9.figshare.16599477.v1
title: Additional file 2 of Maximizing genetic representation in seed collections from populations of self and cross-pollinated banana wild relatives

description: Additional file 2: Table S1. Populations and samples used. Table S2. Microsatellite markers and multiplexes used. Table S3. Microsatellite summary statistics per locus. Number of alleles; 1-D, Simpson's index; Hexp, Nei's 1978 gene diversity; Evenness; species. Table S4. Null allele analysis for Musa acuminata loci.
DOI: 10.6084/m9.figshare.16599540
title: Additional file 4 of De novo transcriptome analysis provides insights into formation of in vitro adventitious root from leaf explants of Arnebia euchroma

description: Additional file 4 Table S2. Summary of BLASTx results for the A. euchroma transcriptome against five databases.
DOI: 10.6084/m9.figshare.16599540.v1
title: Additional file 4 of De novo transcriptome analysis provides insights into formation of in vitro adventitious root from leaf explants of Arnebia euchroma

description: Additional file 4 Table S2. Summary of BLASTx results for the A. euchroma transcriptome against five databases.
DOI: 10.6084/m9.figshare.16599546
title: Additional file 5 of De novo transcriptome analysis provides insights into formation of in vitro adventitious root from leaf explants of Arnebia euchroma

description: Additional file 5 Table S3a. List of differentially expressed genes, fold change ≥ 1.0. Table S3b. List of differentially expressed genes, fold change ≤ 1.0.
DOI: 10.6084/m9.figshare.16599527
title: Additional file 2 of Single-nuclei chromatin profiling of ventral midbrain reveals cell identity transcription factors and cell-type-specific gene regulatory variation

description: Additional file 2: Table S1. Cell-type composition in ventral midbrains of C57BL/6J and A/J in snATACseq. Cell types and identified cell numbers are indicated for both strains.
DOI: 10.6084/m9.figshare.16599546.v1
title: Additional file 5 of De novo transcriptome analysis provides insights into formation of in vitro adventitious root from leaf explants of Arnebia euchroma

description: Additional file 5 Table S3a. List of differentially expressed genes, fold change ≥ 1.0. Table S3b. List of differentially expressed genes, fold change ≤ 1.0.
DOI: 10.6084/m9.figshare.16599527.v1
title: Additional file 2 of Single-nuclei chromatin profiling of ventral midbrain reveals cell identity transcription factors and cell-type-specific gene regulatory variation

description: Additional file 2: Table S1. Cell-type composition in ventral midbrains of C57BL/6J and A/J in snATACseq. Cell types and identified cell numbers are indicated for both strains.
DOI: 10.6084/m9.figshare.16599530
title: Additional file 3 of Single-nuclei chromatin profiling of ventral midbrain reveals cell identity transcription factors and cell-type-specific gene regulatory variation

description: Additional file 3: Table S2. Cell-type-identity genes defined from existing scRNA-seq. The official gene symbols for the identified cell identity genes are listed under each respective cell type.
DOI: 10.6084/m9.figshare.16599533
title: Additional file 4 of Single-nuclei chromatin profiling of ventral midbrain reveals cell identity transcription factors and cell-type-specific gene regulatory variation

description: Additional file 4: Table S3. Enrichment analysis on the cell-type-identity genes defined from existing scRNA-seq. The GO enrichment results for the cell identity genes for each cell type are provided. The enrichment analysis was performed using Enrichr and GO term identifiers, enrichment p values, scores, and identified gene names are provided for each GO term.
DOI: 10.6084/m9.figshare.16599536
title: Additional file 5 of Single-nuclei chromatin profiling of ventral midbrain reveals cell identity transcription factors and cell-type-specific gene regulatory variation

description: Additional file 5: Table S4. Cell-type-identity peaks defined by associating cell-type-specific peaks to the regulatory regions of cell-type-identity genes. The chromosome coordinates for all cell identity peaks are provided for each cell type.
DOI: 10.6084/m9.figshare.16599539
title: Additional file 6 of Single-nuclei chromatin profiling of ventral midbrain reveals cell identity transcription factors and cell-type-specific gene regulatory variation

description: Additional file 6: Table S5. Putative regulatory variants. The chromosome coordinates and major/alternative alleles are reported for the 3909 variants locating within TF footprints in active enhancers and designated as putative regulatory variants.
DOI: 10.6084/m9.figshare.16599530.v1
title: Additional file 3 of Single-nuclei chromatin profiling of ventral midbrain reveals cell identity transcription factors and cell-type-specific gene regulatory variation

description: Additional file 3: Table S2. Cell-type-identity genes defined from existing scRNA-seq. The official gene symbols for the identified cell identity genes are listed under each respective cell type.
DOI: 10.6084/m9.figshare.16599533.v1
title: Additional file 4 of Single-nuclei chromatin profiling of ventral midbrain reveals cell identity transcription factors and cell-type-specific gene regulatory variation

description: Additional file 4: Table S3. Enrichment analysis on the cell-type-identity genes defined from existing scRNA-seq. The GO enrichment results for the cell identity genes for each cell type are provided. The enrichment analysis was performed using Enrichr and GO term identifiers, enrichment p values, scores, and identified gene names are provided for each GO term.
DOI: 10.6084/m9.figshare.16599539.v1
title: Additional file 6 of Single-nuclei chromatin profiling of ventral midbrain reveals cell identity transcription factors and cell-type-specific gene regulatory variation

description: Additional file 6: Table S5. Putative regulatory variants. The chromosome coordinates and major/alternative alleles are reported for the 3909 variants locating within TF footprints in active enhancers and designated as putative regulatory variants.
DOI: 10.6084/m9.figshare.16599536.v1
title: Additional file 5 of Single-nuclei chromatin profiling of ventral midbrain reveals cell identity transcription factors and cell-type-specific gene regulatory variation

description: Additional file 5: Table S4. Cell-type-identity peaks defined by associating cell-type-specific peaks to the regulatory regions of cell-type-identity genes. The chromosome coordinates for all cell identity peaks are provided for each cell type.
DOI: 10.6084/m9.figshare.16599545
title: Additional file 8 of Single-nuclei chromatin profiling of ventral midbrain reveals cell identity transcription factors and cell-type-specific gene regulatory variation

description: Additional file 8: Table S7. H3K27ac differential peaks between C57BL/6J and A/J. The chromosomecoordinates of the peaks and p-values of sign3a l difference between the strains are indicated for each differential peak (p
DOI: 10.6084/m9.figshare.16599542
title: Additional file 7 of Single-nuclei chromatin profiling of ventral midbrain reveals cell identity transcription factors and cell-type-specific gene regulatory variation

description: Additional file 7: Table S6. Differentially expressed genes from ventral midbrain bulk RNA-seq between C57BL/6J and A/J. Each strain has 12 replicates (6 males and 6 females). The differential genes are defined as padj
DOI: 10.6084/m9.figshare.16599542.v1
title: Additional file 7 of Single-nuclei chromatin profiling of ventral midbrain reveals cell identity transcription factors and cell-type-specific gene regulatory variation

description: Additional file 7: Table S6. Differentially expressed genes from ventral midbrain bulk RNA-seq between C57BL/6J and A/J. Each strain has 12 replicates (6 males and 6 females). The differential genes are defined as padj
DOI: 10.6084/m9.figshare.16599548
title: Additional file 9 of Single-nuclei chromatin profiling of ventral midbrain reveals cell identity transcription factors and cell-type-specific gene regulatory variation

description: Additional file 9: Table S8. Predicted upstream regulators between C57BL/6J and A/J. The predicted upstream regulators are fetched from IPA based on differentially expressed genes from midbrain bulk RNA-seq between C57BL/6J and A/J (padj 1).
DOI: 10.6084/m9.figshare.16599548.v1
title: Additional file 9 of Single-nuclei chromatin profiling of ventral midbrain reveals cell identity transcription factors and cell-type-specific gene regulatory variation

description: Additional file 9: Table S8. Predicted upstream regulators between C57BL/6J and A/J. The predicted upstream regulators are fetched from IPA based on differentially expressed genes from midbrain bulk RNA-seq between C57BL/6J and A/J (padj 1).
DOI: 10.6084/m9.figshare.16599545.v1
title: Additional file 8 of Single-nuclei chromatin profiling of ventral midbrain reveals cell identity transcription factors and cell-type-specific gene regulatory variation

description: Additional file 8: Table S7. H3K27ac differential peaks between C57BL/6J and A/J. The chromosomecoordinates of the peaks and p-values of sign3a l difference between the strains are indicated for each differential peak (p
DOI: 10.25952/r8ce-2905
title: The Role of Gender in Intergenerational Farming from the Perspective of Legal Practitioners

description: The data set comprises audio files for interviews with six regional NSW Legal Practitioners for a scoping study on the role of gender in intergenerational farming from the perspective of legal practitioners. Discussion focuses on the changing roles on farms, farming as inherently masculine, succession processes and keeping the farm intact. Interviews used open-ended questions, coupling researcher-directed questions with the opportunity for fluid discussion and reflection on personal experience. Examples of questions include: Have you experienced any differences in the treatment between men and women in farm succession planning? What are some of your personal experiences in relation to the legal issues arising as a result of gender and family farms? Do you think gender bias in farming still exists? The interviews lasted approximately one hour each and were conducted via either telephone or video conference. Participants were required to hold a current practising certificate, have at least two or more years of professional experience, conduct their legal practice in an area identified by the NSW Law Society as "regional"  and self-identify as having general experience with farm related legal issues. Of the participants, two were male and four were female. The average number of years of legal practice was 24.6, with the longest years of practice being 41 and the shortest being nine years.
description: These data comprise audio-recordings and transcripts of six interviews conducted by Lauren Howes in November 2020, as a part of her Masters research project in LLM520. The project was approved by UNE's Human Ethics Research Committee (approval No. HE20-182). Under the approval conditions, the identity of interviewees is to remain anonymous in any publication resulting from the interviews.
DOI: 10.6084/m9.figshare.16599581
title: Additional file 1 of Non-cancer-related pathogenic germline variants and expression consequences in ten-thousand cancer genomes

description: Additional file 1: Table S1. The list of 152 cancer predisposition genes used to filter for non-cancer related variants.
DOI: 10.6084/m9.figshare.16599581.v1
title: Additional file 1 of Non-cancer-related pathogenic germline variants and expression consequences in ten-thousand cancer genomes

description: Additional file 1: Table S1. The list of 152 cancer predisposition genes used to filter for non-cancer related variants.
DOI: 10.6084/m9.figshare.16599584
title: Additional file 2 of Non-cancer-related pathogenic germline variants and expression consequences in ten-thousand cancer genomes

description: Additional file 2: Table S2. Detailed information used in this research for the 2,271 unique variants.
DOI: 10.6084/m9.figshare.16599584.v1
title: Additional file 2 of Non-cancer-related pathogenic germline variants and expression consequences in ten-thousand cancer genomes

description: Additional file 2: Table S2. Detailed information used in this research for the 2,271 unique variants.
DOI: 10.6084/m9.figshare.16599587.v1
title: Additional file 3 of Non-cancer-related pathogenic germline variants and expression consequences in ten-thousand cancer genomes

description: Additional file 3: Table S3. The distribution of NC P/LPs among predisposing variants, patients and genes across different ancestries.
DOI: 10.6084/m9.figshare.16599593.v1
title: Additional file 5 of Non-cancer-related pathogenic germline variants and expression consequences in ten-thousand cancer genomes

description: Additional file 5: Table S4. Detailed information of NC P/LPs for Fig. 2.
DOI: 10.6084/m9.figshare.16599587
title: Additional file 3 of Non-cancer-related pathogenic germline variants and expression consequences in ten-thousand cancer genomes

description: Additional file 3: Table S3. The distribution of NC P/LPs among predisposing variants, patients and genes across different ancestries.
DOI: 10.6084/m9.figshare.16599593
title: Additional file 5 of Non-cancer-related pathogenic germline variants and expression consequences in ten-thousand cancer genomes

description: Additional file 5: Table S4. Detailed information of NC P/LPs for Fig. 2.
DOI: 10.6084/m9.figshare.16599596
title: Additional file 6 of Non-cancer-related pathogenic germline variants and expression consequences in ten-thousand cancer genomes

description: Additional file 6: Table S5. NC P/LPs with different frequency between TCGA cohort and gnomAD cohort.
DOI: 10.6084/m9.figshare.16599599.v1
title: Additional file 7 of Non-cancer-related pathogenic germline variants and expression consequences in ten-thousand cancer genomes

description: Additional file 7: Table S6. NC P/LP carrier count/frequency of all affected genes, ASE NC P/LPs enriched genes and genes impacted by NC P/LPs across different quartile expression splits.
DOI: 10.6084/m9.figshare.16599602
title: Additional file 8 of Non-cancer-related pathogenic germline variants and expression consequences in ten-thousand cancer genomes

description: Additional file 8: Table S7. Count/Frequency of NC P/LPs among predicted function groups across different ASE enrichment status.
DOI: 10.6084/m9.figshare.16599599
title: Additional file 7 of Non-cancer-related pathogenic germline variants and expression consequences in ten-thousand cancer genomes

description: Additional file 7: Table S6. NC P/LP carrier count/frequency of all affected genes, ASE NC P/LPs enriched genes and genes impacted by NC P/LPs across different quartile expression splits.
DOI: 10.6084/m9.figshare.16599596.v1
title: Additional file 6 of Non-cancer-related pathogenic germline variants and expression consequences in ten-thousand cancer genomes

description: Additional file 6: Table S5. NC P/LPs with different frequency between TCGA cohort and gnomAD cohort.
DOI: 10.6084/m9.figshare.16599602.v1
title: Additional file 8 of Non-cancer-related pathogenic germline variants and expression consequences in ten-thousand cancer genomes

description: Additional file 8: Table S7. Count/Frequency of NC P/LPs among predicted function groups across different ASE enrichment status.
DOI: 10.6084/m9.figshare.16599611.v1
title: Additional file 1 of A genome-wide scan to identify signatures of selection in two Iranian indigenous chicken ecotypes

description: Additional file 1: Table S1. Summary of the distribution of ROH lengths along the genome per animal. An excel file containing the number of ROH, total size of genome covered by ROH (kb) and average of ROH length (kb) per animal.
DOI: 10.6084/m9.figshare.16599611
title: Additional file 1 of A genome-wide scan to identify signatures of selection in two Iranian indigenous chicken ecotypes

description: Additional file 1: Table S1. Summary of the distribution of ROH lengths along the genome per animal. An excel file containing the number of ROH, total size of genome covered by ROH (kb) and average of ROH length (kb) per animal.
DOI: 10.6084/m9.figshare.16599614.v1
title: Additional file 2 of A genome-wide scan to identify signatures of selection in two Iranian indigenous chicken ecotypes

description: Additional file 2: Table S2. List of candidate genes that overlap with regions identified by the CLR method in the Lari and Khazak ecotypes.
DOI: 10.6084/m9.figshare.16599614
title: Additional file 2 of A genome-wide scan to identify signatures of selection in two Iranian indigenous chicken ecotypes

description: Additional file 2: Table S2. List of candidate genes that overlap with regions identified by the CLR method in the Lari and Khazak ecotypes.
DOI: 10.6084/m9.figshare.16599620.v1
title: Additional file 4 of A genome-wide scan to identify signatures of selection in two Iranian indigenous chicken ecotypes

description: Additional file 4: Table S4. Summary of GO terms related to biological processes resulting from the analyses of cROH regions, CLR, FST and hapFLK in the Lari and Khazak ecotypes. This table represents gene ontology (GO) terms that are significant (P-value &gt; 0.05), (L: Lari ecotype and K: Khazak ecotype).
DOI: 10.6084/m9.figshare.16599617
title: Additional file 3 of A genome-wide scan to identify signatures of selection in two Iranian indigenous chicken ecotypes

description: Additional file 3: Table S3. List of the genes that were identified simultaneously by at least two of the four applied methods. This table represents the identified common genes shared by at least two of the four methods used, FST, hapFLK, CLR and ROH, (L: Lari ecotype and K: Khazak ecotype).
DOI: 10.6084/m9.figshare.16599617.v1
title: Additional file 3 of A genome-wide scan to identify signatures of selection in two Iranian indigenous chicken ecotypes

description: Additional file 3: Table S3. List of the genes that were identified simultaneously by at least two of the four applied methods. This table represents the identified common genes shared by at least two of the four methods used, FST, hapFLK, CLR and ROH, (L: Lari ecotype and K: Khazak ecotype).
DOI: 10.6084/m9.figshare.16599620
title: Additional file 4 of A genome-wide scan to identify signatures of selection in two Iranian indigenous chicken ecotypes

description: Additional file 4: Table S4. Summary of GO terms related to biological processes resulting from the analyses of cROH regions, CLR, FST and hapFLK in the Lari and Khazak ecotypes. This table represents gene ontology (GO) terms that are significant (P-value &gt; 0.05), (L: Lari ecotype and K: Khazak ecotype).
DOI: 10.6084/m9.figshare.16599623
title: Additional file 5 of A genome-wide scan to identify signatures of selection in two Iranian indigenous chicken ecotypes

description: Additional file 5: Table S5. List of consensus ROH pools for each ecotype. This file contains information about family identification (FID), individual identification (IID), chromosome (CHR), start position (BP1) and end position (BP2), segment size (KB) and number of SNPs in each ROH.
DOI: 10.6084/m9.figshare.16599623.v1
title: Additional file 5 of A genome-wide scan to identify signatures of selection in two Iranian indigenous chicken ecotypes

description: Additional file 5: Table S5. List of consensus ROH pools for each ecotype. This file contains information about family identification (FID), individual identification (IID), chromosome (CHR), start position (BP1) and end position (BP2), segment size (KB) and number of SNPs in each ROH.
DOI: 10.6084/m9.figshare.16599626
title: Additional file 6 of A genome-wide scan to identify signatures of selection in two Iranian indigenous chicken ecotypes

description: Additional file 6: Table S6. List of candidate genes that overlap with regions identified by the ROH method in the Lari and Khazak ecotypes.
DOI: 10.6084/m9.figshare.16599629.v1
title: Additional file 7 of A genome-wide scan to identify signatures of selection in two Iranian indigenous chicken ecotypes

description: Additional file 7: Table S7. List of candidate genes that overlap with regions identified by the FST method.
DOI: 10.6084/m9.figshare.16599632
title: Additional file 8 of A genome-wide scan to identify signatures of selection in two Iranian indigenous chicken ecotypes

description: Additional file 8: Table S8. List of candidate genes that overlap with regions identified by the hapFLK method.
DOI: 10.6084/m9.figshare.16599629
title: Additional file 7 of A genome-wide scan to identify signatures of selection in two Iranian indigenous chicken ecotypes

description: Additional file 7: Table S7. List of candidate genes that overlap with regions identified by the FST method.
DOI: 10.6084/m9.figshare.16599635
title: Additional file 9 of A genome-wide scan to identify signatures of selection in two Iranian indigenous chicken ecotypes

description: Additional file 9: Table S9. Overlaps between the reported QTL in the QTL database and the detected candidate regions by FST, hapFLK, CLR and ROH analysis. This file presents the overlaps between the traits and the position of the known QTL regions in chicken with the position of the identified putative signatures of selection by the four methods.
DOI: 10.6084/m9.figshare.16599635.v1
title: Additional file 9 of A genome-wide scan to identify signatures of selection in two Iranian indigenous chicken ecotypes

description: Additional file 9: Table S9. Overlaps between the reported QTL in the QTL database and the detected candidate regions by FST, hapFLK, CLR and ROH analysis. This file presents the overlaps between the traits and the position of the known QTL regions in chicken with the position of the identified putative signatures of selection by the four methods.
DOI: 10.6084/m9.figshare.16599632.v1
title: Additional file 8 of A genome-wide scan to identify signatures of selection in two Iranian indigenous chicken ecotypes

description: Additional file 8: Table S8. List of candidate genes that overlap with regions identified by the hapFLK method.
DOI: 10.6084/m9.figshare.16599672.v1
title: Additional file 1 of Mobility for maternal health among women in hard-to-reach fishing communities on Lake Victoria, Uganda; a community-based cross-sectional survey

description: Additional file 1: