cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.10049327.v1
title: MOESM1 of What is the nature and extent of evidence on methodologies for monitoring and evaluating marine spatial management measures in UK and similar coastal waters? A systematic map protocol

description: Additional file 1. Data coding framework. Proposed data coding framework detailing information to be extracted or coded from relevant studies in the final systematic map database (information in the ‘Meta-data and codes’ tab will form drop-down lists in the final map spreadsheet) together with detailed explanations for each column data will be extracted/coded (‘Coding descriptors’ tab). To demonstrate the data coding framework in use, fifteen articles used as a benchmark to scope the search string (Additional file 3: Table S3) have been coded (‘Systematic map database’ and ‘Secondary studies database’ tabs).
DOI: 10.21227/q1wx-eq81
title: 1cheap and best electronics fan regulator

description: One new circuit design is invented by me for electronic fan regulator which is cheap and best
DOI: 10.21227/h1n8-hj80
title: 1cheap and best electronics fan regulator

description: One new circuit design is invented by me for electronic fan regulator which is cheap and best
DOI: 10.6084/m9.figshare.10049237
title: MOESM2 of A meta-analysis of two high-risk prospective cohort studies reveals autism-specific transcriptional changes to chromatin, autoimmune, and environmental response genes in umbilical cord blood

description: Additional file 2: Table S1. Differential expression analysis of ASD compared to TD subjects for individual studies and meta-analysis. Table S2. Gene overlap analysis of ASD- and Non-TD-associated differentially-expressed genes with genes previously associated with ASD. Table S3. Gene overlap analysis of ASD- and Non-TD-associated differentially-expressed genes with blood cell-type specific genes. Table S4. Significant terms from overrepresentation enrichment analysis of ASD-associated differentially-expressed genes. Table S5. Significant terms from GSEA of probes ranked by ASD versus TD differential expression. Table S6. Differential expression analysis of Non-TD compared to TD subjects for individual studies and meta-analysis. Table S7. Significant terms from overrepresentation enrichment analysis of Non-TD-associated differentially-expressed genes. Table S8. Significant Terms from GSEA of probes ranked by Non-TD versus TD differential expression. Table S9. Consensus coexpression module membership in MARBLES subjects. Table S10. Consensus coexpression module membership in EARLI subjects. Table S11. Correlation meta-analysis of consensus module eigengenes with demographic factors. Table S12. Cell type proportions in MARBLES and EARLI subjects estimated with CIBERSORT. Table S13. Correlation meta-analysis of cell type proportions with demographic factors. Table S14. Correlation meta-analysis of consensus module eigengenes with cell type proportions.
DOI: 10.6084/m9.figshare.10049237.v1
title: MOESM2 of A meta-analysis of two high-risk prospective cohort studies reveals autism-specific transcriptional changes to chromatin, autoimmune, and environmental response genes in umbilical cord blood

description: Additional file 2: Table S1. Differential expression analysis of ASD compared to TD subjects for individual studies and meta-analysis. Table S2. Gene overlap analysis of ASD- and Non-TD-associated differentially-expressed genes with genes previously associated with ASD. Table S3. Gene overlap analysis of ASD- and Non-TD-associated differentially-expressed genes with blood cell-type specific genes. Table S4. Significant terms from overrepresentation enrichment analysis of ASD-associated differentially-expressed genes. Table S5. Significant terms from GSEA of probes ranked by ASD versus TD differential expression. Table S6. Differential expression analysis of Non-TD compared to TD subjects for individual studies and meta-analysis. Table S7. Significant terms from overrepresentation enrichment analysis of Non-TD-associated differentially-expressed genes. Table S8. Significant Terms from GSEA of probes ranked by Non-TD versus TD differential expression. Table S9. Consensus coexpression module membership in MARBLES subjects. Table S10. Consensus coexpression module membership in EARLI subjects. Table S11. Correlation meta-analysis of consensus module eigengenes with demographic factors. Table S12. Cell type proportions in MARBLES and EARLI subjects estimated with CIBERSORT. Table S13. Correlation meta-analysis of cell type proportions with demographic factors. Table S14. Correlation meta-analysis of consensus module eigengenes with cell type proportions.
DOI: 10.6084/m9.figshare.10049189
title: MOESM9 of RNA-Seq based transcriptome analysis during bovine viral diarrhoea virus (BVDV) infection

description: Additional file 9. DEGs identified in comparison group MBV12h vs. MBV24h.
DOI: 10.6084/m9.figshare.10049189.v1
title: MOESM9 of RNA-Seq based transcriptome analysis during bovine viral diarrhoea virus (BVDV) infection

description: Additional file 9. DEGs identified in comparison group MBV12h vs. MBV24h.
DOI: 10.6084/m9.figshare.10049186
title: MOESM8 of RNA-Seq based transcriptome analysis during bovine viral diarrhoea virus (BVDV) infection

description: Additional file 8. DEGs identified in comparison group MBV6h vs. MBV12h.
DOI: 10.6084/m9.figshare.10049186.v1
title: MOESM8 of RNA-Seq based transcriptome analysis during bovine viral diarrhoea virus (BVDV) infection

description: Additional file 8. DEGs identified in comparison group MBV6h vs. MBV12h.
DOI: 10.6084/m9.figshare.10049180
title: MOESM7 of RNA-Seq based transcriptome analysis during bovine viral diarrhoea virus (BVDV) infection

description: Additional file 7. DEGs identified in comparison group MBV2h vs. MBV6h.
DOI: 10.6084/m9.figshare.10049174
title: MOESM6 of RNA-Seq based transcriptome analysis during bovine viral diarrhoea virus (BVDV) infection

description: Additional file 6. DEGs identified in comparison group Mock vs. MBV24h.
DOI: 10.6084/m9.figshare.10049168
title: MOESM5 of RNA-Seq based transcriptome analysis during bovine viral diarrhoea virus (BVDV) infection

description: Additional file 5. DEGs identified in comparison group Mock vs. MBV12h.
DOI: 10.6084/m9.figshare.10049174.v1
title: MOESM6 of RNA-Seq based transcriptome analysis during bovine viral diarrhoea virus (BVDV) infection

description: Additional file 6. DEGs identified in comparison group Mock vs. MBV24h.
DOI: 10.6084/m9.figshare.10049180.v1
title: MOESM7 of RNA-Seq based transcriptome analysis during bovine viral diarrhoea virus (BVDV) infection

description: Additional file 7. DEGs identified in comparison group MBV2h vs. MBV6h.
DOI: 10.6084/m9.figshare.10049165
title: MOESM4 of RNA-Seq based transcriptome analysis during bovine viral diarrhoea virus (BVDV) infection

description: Additional file 4. DEGs identified in comparison group Mock vs. MBV6h.
DOI: 10.6084/m9.figshare.10049168.v1
title: MOESM5 of RNA-Seq based transcriptome analysis during bovine viral diarrhoea virus (BVDV) infection

description: Additional file 5. DEGs identified in comparison group Mock vs. MBV12h.
DOI: 10.6084/m9.figshare.10049165.v1
title: MOESM4 of RNA-Seq based transcriptome analysis during bovine viral diarrhoea virus (BVDV) infection

description: Additional file 4. DEGs identified in comparison group Mock vs. MBV6h.
DOI: 10.6084/m9.figshare.10049153
title: MOESM3 of RNA-Seq based transcriptome analysis during bovine viral diarrhoea virus (BVDV) infection

description: Additional file 3. DEGs identified in comparison group Mock vs. MBV2h.
DOI: 10.6084/m9.figshare.10049153.v1
title: MOESM3 of RNA-Seq based transcriptome analysis during bovine viral diarrhoea virus (BVDV) infection

description: Additional file 3. DEGs identified in comparison group Mock vs. MBV2h.
DOI: 10.6084/m9.figshare.10049135
title: MOESM13 of RNA-Seq based transcriptome analysis during bovine viral diarrhoea virus (BVDV) infection

description: Additional file 13. Detail information of KEGG pathway enrichment of DEGs in mock vs. MBV24h.
DOI: 10.6084/m9.figshare.10049132
title: MOESM12 of RNA-Seq based transcriptome analysis during bovine viral diarrhoea virus (BVDV) infection

description: Additional file 12. Detail information of KEGG pathway enrichment of DEGs in mock vs. MBV12h.
DOI: 10.6084/m9.figshare.10049132.v1
title: MOESM12 of RNA-Seq based transcriptome analysis during bovine viral diarrhoea virus (BVDV) infection

description: Additional file 12. Detail information of KEGG pathway enrichment of DEGs in mock vs. MBV12h.
DOI: 10.6084/m9.figshare.10049135.v1
title: MOESM13 of RNA-Seq based transcriptome analysis during bovine viral diarrhoea virus (BVDV) infection

description: Additional file 13. Detail information of KEGG pathway enrichment of DEGs in mock vs. MBV24h.
DOI: 10.6084/m9.figshare.10049123
title: MOESM11 of RNA-Seq based transcriptome analysis during bovine viral diarrhoea virus (BVDV) infection

description: Additional file 11. Detail information of GO enrichment of DEGs in mock vs. MBV24h.
DOI: 10.6084/m9.figshare.10049114
title: MOESM10 of RNA-Seq based transcriptome analysis during bovine viral diarrhoea virus (BVDV) infection

description: Additional file 10. Detail information of GO enrichment of DEGs in mock vs. MBV12h.
DOI: 10.6084/m9.figshare.10049114.v1
title: MOESM10 of RNA-Seq based transcriptome analysis during bovine viral diarrhoea virus (BVDV) infection

description: Additional file 10. Detail information of GO enrichment of DEGs in mock vs. MBV12h.
DOI: 10.6084/m9.figshare.10049123.v1
title: MOESM11 of RNA-Seq based transcriptome analysis during bovine viral diarrhoea virus (BVDV) infection

description: Additional file 11. Detail information of GO enrichment of DEGs in mock vs. MBV24h.
DOI: 10.6084/m9.figshare.10049027
title: MOESM6 of The impact of sequencing depth on the inferred taxonomic composition and AMR gene content of metagenomic samples

description: Additional file 6: Table S4. PERMANOVA results based on Bray-Curtis dissimilarities for sample replicates. Analyses are shown in relation to sample replicates and sequencing lanes for both (a) CARD AMR abundance data, (b) Centrifuge taxonomic abundance data. Provided as Excel spreadsheet.
DOI: 10.6084/m9.figshare.10049027.v1
title: MOESM6 of The impact of sequencing depth on the inferred taxonomic composition and AMR gene content of metagenomic samples

description: Additional file 6: Table S4. PERMANOVA results based on Bray-Curtis dissimilarities for sample replicates. Analyses are shown in relation to sample replicates and sequencing lanes for both (a) CARD AMR abundance data, (b) Centrifuge taxonomic abundance data. Provided as Excel spreadsheet.
DOI: 10.6084/m9.figshare.10049015
title: MOESM4 of The impact of sequencing depth on the inferred taxonomic composition and AMR gene content of metagenomic samples

description: Additional file 4: Table S2. Hybrid sequencing details for cultured isolates. Statistics are shown for both short reads (Illumina) and long reads (PacBio) sequenced from the same DNA extracts. Provided as Excel spreadsheet.
DOI: 10.6084/m9.figshare.10049021
title: MOESM5 of The impact of sequencing depth on the inferred taxonomic composition and AMR gene content of metagenomic samples

description: Additional file 5: Table S3. Details of mapping metagenomic reads to isolate hybrid assemblies. Each sample is shown on a different sheet. Provided as Excel spreadsheet.
DOI: 10.6084/m9.figshare.10049021.v1
title: MOESM5 of The impact of sequencing depth on the inferred taxonomic composition and AMR gene content of metagenomic samples

description: Additional file 5: Table S3. Details of mapping metagenomic reads to isolate hybrid assemblies. Each sample is shown on a different sheet. Provided as Excel spreadsheet.
DOI: 10.6084/m9.figshare.10049009
title: MOESM3 of The impact of sequencing depth on the inferred taxonomic composition and AMR gene content of metagenomic samples

description: Additional file 3: Table S1. Metagenomic data. Each sample was sequenced in replicate across four lanes (2 × 4 = 8 files per sample), combining to give the ~ 200 million reads per sample used in the study. The number of reads mapping to T. thermophilus from each sample is also given. Provided as Excel spreadsheet.
DOI: 10.6084/m9.figshare.10049015.v1
title: MOESM4 of The impact of sequencing depth on the inferred taxonomic composition and AMR gene content of metagenomic samples

description: Additional file 4: Table S2. Hybrid sequencing details for cultured isolates. Statistics are shown for both short reads (Illumina) and long reads (PacBio) sequenced from the same DNA extracts. Provided as Excel spreadsheet.
DOI: 10.6084/m9.figshare.10049009.v1
title: MOESM3 of The impact of sequencing depth on the inferred taxonomic composition and AMR gene content of metagenomic samples

description: Additional file 3: Table S1. Metagenomic data. Each sample was sequenced in replicate across four lanes (2 × 4 = 8 files per sample), combining to give the ~ 200 million reads per sample used in the study. The number of reads mapping to T. thermophilus from each sample is also given. Provided as Excel spreadsheet.
DOI: 10.6084/m9.figshare.10048961
title: Dataset of a solar DHW system with adsorption module performance operating in seven world locations

description: This dataset comprises the climate and performance data of a solar DHW system with adsorption module operating in seven different climate regions. The climate regions are Beijing (China), Baltimore (USA), Lisbon (Portugal), New Delhi (India), Brasília (Brazil), Cape Town (South Africa), and Canberra (Australia). The performance data was obtained using the TRNSYS software coupled with the MATLAB engine (URL http://hdl.handle.net/10316/32215; http://dx.doi.org/10.1016/j.enconman.2016.08.032; http://dx.doi.org/10.1016/j.enconman.2018.02.027).
DOI: 10.6084/m9.figshare.10048724
title: Data Repository

description: Collection of experimentally measured data, FEM simulation scripts, and numerically derived data.<br>
DOI: 10.6084/m9.figshare.10048712
title: Whole-genome sequencing raw data

description: <b>Whole genome sequencing raw data for the manuscript "Low Mutational Load Allows for High Mutation Rate Variation in Gut Commensal Bacteria" (https://doi.org/10.1101/568709)</b><br><br>All <i>fastq</i> files generated for this project are made available in FigShare and are deposited in the NCBI short-read archive: https://www.ncbi.nlm.nih.gov/bioproject/PRJNA580181/<br>The first three codes in a file name, separated by underscores, indicate the identity of the sequenced clone, which is further described in the file <i>clone_description.csv.</i><br>Some clones have two sets of R1 and R2 files, as these were sequenced twice to achieve the required coverage.<br><br>These data will be deposited in the NCBI short-read archive.<br>
DOI: 10.6084/m9.figshare.10048724.v1
title: Data Repository

description: Collection of experimentally measured data, FEM simulation scripts, and numerically derived data.<br>
DOI: 10.6084/m9.figshare.10048598
title: Patients’ preferences and perceptions of lung cancer treatment decision making: results from Okayama lung cancer study group trial 1406

description: Patients’ preferences and perceptions of lung cancer treatment decision making: results from Okayama lung cancer study group trial 1406
DOI: 10.6084/m9.figshare.10048541
title: World Settlement Footprint (WSF) 2015 - Percent Settlement Area - 10km

description: The dataset is a 10km resampled version of the World Settlement Footprint (WSF) 2015 layer. Specifically, each pixel is associated with the corresponding percent area on the ground covered by settlements. The product is distributed as single GeoTIFF file (EPSG4326 projection, deflate compression) embedding overviews for the levels 2, 4, 8, 16, 32, 64, 128 and 256.
DOI: 10.6084/m9.figshare.10048595
title: CA 19-9 doubling time in pancreatic cancer as a predictor of venous thromboembolism: a hospital database study

description: CA 19-9 doubling time in pancreatic cancer as a predictor of venous thromboembolism: a hospital database study
DOI: 10.6084/m9.figshare.10048598.v1
title: Patients’ preferences and perceptions of lung cancer treatment decision making: results from Okayama lung cancer study group trial 1406

description: Patients’ preferences and perceptions of lung cancer treatment decision making: results from Okayama lung cancer study group trial 1406
DOI: 10.6084/m9.figshare.10048535
title: World Settlement Footprint (WSF) 2015 - Percent Settlement Area - 1km

description: The dataset is a 1km resampled version of the World Settlement Footprint (WSF) 2015 layer. Specifically, each pixel is associated with the corresponding percent area on the ground covered by settlements. The product is distributed as single GeoTIFF file (EPSG4326 projection, deflate compression) embedding overviews for the levels 2, 4, 8, 16, 32, 64, 128 and 256.
DOI: 10.6084/m9.figshare.10048520
title: World Settlement Footprint (WSF) 2015 - Percent Settlement Area - 500m

description: The dataset is a 500m resampled version of the World Settlement Footprint (WSF) 2015 layer. Specifically, each pixel is associated with the corresponding percent area on the ground covered by settlements. The product is distributed as single GeoTIFF file (EPSG4326 projection, deflate compression) embedding overviews for the levels 2, 4, 8, 16, 32, 64, 128 and 256.
DOI: 10.6084/m9.figshare.10048535.v1
title: World Settlement Footprint (WSF) 2015 - Percent Settlement Area - 1km

description: The dataset is a 1km resampled version of the World Settlement Footprint (WSF) 2015 layer. Specifically, each pixel is associated with the corresponding percent area on the ground covered by settlements. The product is distributed as single GeoTIFF file (EPSG4326 projection, deflate compression) embedding overviews for the levels 2, 4, 8, 16, 32, 64, 128 and 256.
DOI: 10.6084/m9.figshare.10048595.v1
title: CA 19-9 doubling time in pancreatic cancer as a predictor of venous thromboembolism: a hospital database study

description: CA 19-9 doubling time in pancreatic cancer as a predictor of venous thromboembolism: a hospital database study
DOI: 10.6084/m9.figshare.10048541.v1
title: World Settlement Footprint (WSF) 2015 - Percent Settlement Area - 10km

description: The dataset is a 10km resampled version of the World Settlement Footprint (WSF) 2015 layer. Specifically, each pixel is associated with the corresponding percent area on the ground covered by settlements. The product is distributed as single GeoTIFF file (EPSG4326 projection, deflate compression) embedding overviews for the levels 2, 4, 8, 16, 32, 64, 128 and 256.
DOI: 10.6084/m9.figshare.10048508
title: Metabolite BridgeDb ID Mapping Database (20191025)

description: BridgeDb ID mapping database for metabolites, using HMDB 4.0 (Release of 16 Jan. 2019), ChEBI 180 (Release of 02 Oct. 2019), and Wikidata (25 Oct. 2019) as data sources.<br>Several added mappings.<br><br>Quality control was performed with BridgeDb (2.3.3).<br>
DOI: 10.6084/m9.figshare.10048514
title: World Settlement Footprint (WSF) 2015 - Percent Settlement Area - 250m

description: The dataset is a 250m resampled version of the World Settlement Footprint (WSF) 2015 layer. Specifically, each pixel is associated with the corresponding percent area on the ground covered by settlements. The product is distributed as single GeoTIFF file (EPSG4326 projection, deflate compression) embedding overviews for the levels 2, 4, 8, 16, 32, 64, 128 and 256.
DOI: 10.6084/m9.figshare.10048514.v1
title: World Settlement Footprint (WSF) 2015 - Percent Settlement Area - 250m

description: The dataset is a 250m resampled version of the World Settlement Footprint (WSF) 2015 layer. Specifically, each pixel is associated with the corresponding percent area on the ground covered by settlements. The product is distributed as single GeoTIFF file (EPSG4326 projection, deflate compression) embedding overviews for the levels 2, 4, 8, 16, 32, 64, 128 and 256.
DOI: 10.6084/m9.figshare.10048472
title: Fine-wire force-emg pairs

description: The table comprising pairs of iEMG channels and force channels.
DOI: 10.6084/m9.figshare.10048475
title: World Settlement Footprint (WSF) 2015 - Percent Settlement Area - 100m

description: The dataset is a 100m resampled version of the World Settlement Footprint (WSF) 2015 layer. Specifically, each pixel is associated with the corresponding percent area on the ground covered by settlements. The product is distributed as single GeoTIFF file (EPSG4326 projection, deflate compression) embedding overviews for the levels 2, 4, 8, 16, 32, 64, 128 and 256.
DOI: 10.25375/uct.10048469
title: List of Presentations - PROTEA Workshop 2019

description: List of all available presentations given as part of the Inaugural <b>PROTEA</b> (<i>Partnerships for Children with Heart Disease in Africa</i>) Workshop hosted by the <b>Children’s Heart Disease Research Unit </b>under the directorship of A/Prof Liesl Zuhlke and in conjunction with the <b>Paediatric Cardiology Service of the Western Cape (13 - 16 March 2019)</b>. <br>A first in Africa, this workshop combined four events: a research methods workshop, a basic echocardiography (echo) workshop, two days of advanced echo as well as a rheumatic heart disease research think-tank. 130 delegates from 19 different countries representing all six continents attended the event, making it truly global and giving attendees the opportunity to meet and network with experts in the fields of rheumatic and congenital heart disease.<br>The above table contains the following information and links:<br><i>Number</i>: Number of presentation<i>Date</i>: Date of presentation<i>Series</i>: Basic Echo or Advanced Echo<i>Presentation Title</i>: Title of presentation<i>Presenter(s)</i>: Name of person who presented<i>Recording or Slides</i>: Indicates whether presentation is slide PDF or video MP4<i>DOI</i>: Lists the DOI to the presentation
DOI: 10.6084/m9.figshare.10048412
title: World Settlement Footprint (WSF) 2015

description: The World Settlement Footprint (WSF) 2015 is a 10m (0.32 arc sec) resolution binary mask outlining the 2015 global settlement extent derived by jointly exploiting multitemporal Sentinel-1 radar and Landsat-8 optical satellite imagery. The archive is organized for download in 306 GeoTIFF files (EPSG4326 projection, deflate compression) each one referring to a portion of 10x10 degree size (~1110x1110km) whose upper-left and lower-right corner coordinates are specified in the file name [e.g., the tile WSF2015_v1_EPSG4326_e010_n60_e020_n50.tif covers the area between (10E;60N) and (20E;50N)]. A virtual mosaic file (i.e., WSF2015_v1_EPSG4326.vrt) is also provided which allows visualizing the global product at once on most diffused GIS platforms (e.g., ArcGIS, QGIS, MapInfo). Settlements are associated with value 255; all other pixels are associated with value 0.
DOI: 10.6084/m9.figshare.10048418
title: Early detection of skeletal muscle bioenergetic deficit by magnetic resonance spectroscopy in cigarette smoke-exposed mice (PONE-D-19-15081)

description: <b>Data underlying the findings in this manuscript</b>
DOI: 10.6084/m9.figshare.10048418.v1
title: Early detection of skeletal muscle bioenergetic deficit by magnetic resonance spectroscopy in cigarette smoke-exposed mice (PONE-D-19-15081)

description: <b>Data underlying the findings in this manuscript</b>
DOI: 10.34740/kaggle/dsv/1443545
title: US counties COVID 19 dataset
DOI: 10.6084/m9.figshare.10048373
title: PGLS Analysis R Code from Intraspecific male combat behaviour predicts morphology of cervical vertebrae in ruminant mammals

description: R code for implementing PGLS analyses for all vertebral variables in males and females, written by A. Vander Linden.
DOI: 10.6084/m9.figshare.10048373.v1
title: PGLS Analysis R Code from Intraspecific male combat behaviour predicts morphology of cervical vertebrae in ruminant mammals

description: R code for implementing PGLS analyses for all vertebral variables in males and females, written by A. Vander Linden.