cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18141/1798503
title: Core Analysis E-Reports Produced for the Southwest Regional Partnership on Carbon Sequestration for Wells 13-10A, 13-14, and 32-8 of the Farnsworth Unit, Texas

description: The submission is three electronic reports (e-reports) produced by Terra Tek, a former Schlumberger company, for and under the oversight of the Southwest Regional Partnership on Carbon Sequestration (SWP). The SWP designed and implemented a coring and core analysis program in conjunction with the previous field operator Chaparral Energy, L.L.C. The main SWP contacts who oversaw the coring and core analysis program, including geologic core descriptions and sample selection for testing by the Terra Tek, are listed below in the Authors section. The three reports are for Wells 13-10A, 13-14, and 32-8 of the Farnsworth Unit, TX, a site of the SWP's CO2 storage and enhanced oil recovery project. The e-reports include many data types that are not listed in full detail here, but may include: geomechanical, geochemical, and petrophysical measurements; white light and UV core photos; spectral gamma logs on the core; and Heterogeneous Rock Analysis logs. Fracture core review reports are included for Wells 13-14 and 32-8. The three e-reports each have many subfolders with the various types of data in spreadsheets, pdfs, image files, or other formats. The main e-reports for each well are listed by the well name. The sub-folder “E-Report” for each well has a Report.html file, which, when opened, will have hyperlinks to the various data sets and information. The files in the zipped folder will need to be extracted for the Report.html files to work properly. These authors thank Joseph Hall, a geologist formerly of Chaparral Energy, L.L.C., for assistance in designing the coring program, his geologic expertise of the Farnsworth Unit, and his assistance with characterizing the core. Christopher Gillespie, of Terra Tek at the time, managed the myriad geomechanical, geochemical, and petrophysical measurements provided by Terra Tek for this project. The core from which the samples were collected for this project are housed at the Subsurface Data and Core Libraries of the New Mexico Bureau of Geology and Mineral Resources, Socorro, New Mexico, USA. Funding for this project is provided by the U.S. Department of Energy's (DOE) National Energy Technology Laboratory (NETL) through the Southwest Regional Partnership on Carbon Sequestration (SWP) under Award No. DE-FC26-05NT42591. Sandia National Laboratories is a multimission laboratory managed and operated by National Technology & Engineering Solutions of Sandia, LLC, a wholly owned subsidiary of Honeywell International Inc., for the U.S. Department of Energy’s National Nuclear Security Administration under contract DE-NA0003525. These e-reports describe objective technical results and analysis. Any subjective views or opinions that might be expressed in the reports do not necessarily represent the views of the US Department of Energy or the United States Government.
DOI: 10.6084/m9.figshare.5913181.v10
title: Protist Ribosomal Reference database (PR2) - SSU rRNA gene database

description: The Protist Ribosomal Reference database (PR<sup>2</sup>) provides a unique access to eukaryotic small sub-unit (SSU) ribosomal RNA and DNA sequences, with curated taxonomy. The database mainly consists of nuclear-encoded protistan sequences. However, metazoans, land plants, macrosporic fungi and eukaryotic organelles (mitochondrion, plastid and others) are also included because they are useful for the analysis of high-troughput sequencing data sets. Introns and putative chimeric sequences have been also carefully checked. Taxonomic assignation of sequences consists of eight unique taxonomic fields.<br><br>The database is now synchronized on <b>Github </b>for easier maintenance. Please go to the GitHub site to download the files you need.<br><br>Latest version 4.12.0 (8 August 2019, updated 17 August 2019)<br><b>Home page</b>https://github.com/pr2database/pr2database<br><br><b>Latest version of files</b>https://github.com/pr2database/pr2database/releases<br><br><b>Information</b>https://pr2-database.org/<br><br><b>Reports problems and bugs</b>https://github.com/pr2database/pr2database/issues<br><br><b>Contact<br><br></b>Daniel VAULOT, Laure GUILLOU<br>DIPO team, Plankton Group, UMR 7144 CNRS-UPMC<br>Station Biologique,<br>Place G. Tessier<br>29680 Roscoff FRANCE<br>email: vaulot@sb-roscoff.fr<br><br><b>Please cite</b><br>Guillou, L., Bachar, D., Audic, S., Bass, D., Berney, C., Bittner, L., Boutte, C. et al. 2013. The Protist Ribosomal Reference database (PR2): a catalog of unicellular eukaryote Small Sub-Unit rRNA sequences with curated taxonomy. <i>Nucleic Acids Res.</i> 41:D597–604.<br>
DOI: 10.6084/m9.figshare.14850372
title: ATAC.fc.bigwig

description: ATAC-seq in mESCs
DOI: 10.6084/m9.figshare.14850372.v1
title: ATAC.fc.bigwig

description: ATAC-seq in mESCs
DOI: 10.21227/excf-mw45
title: The Moderating Role of Aesthetics and Information Quality for Acceptance of Augmented Reality

description: Database for a moderation of technological acceptance research
DOI: 10.6084/m9.figshare.14850375
title: DNase.fc.bigwig

description: DNase-seq in mESCs
DOI: 10.6084/m9.figshare.14850375.v1
title: DNase.fc.bigwig

description: DNase-seq in mESCs
DOI: 10.6084/m9.figshare.14850531.v1
title: Supplementary Tables for 'Analysis of genetic differences between psychiatric disorders: exploring pathways and cell-types/tissues involved and ability to differentiate the disorders by polygenic scores'

description: Supplementary Tables for 'Analysis of genetic differences between psychiatric disorders: exploring pathways and cell-types/tissues involved and ability to differentiate the disorders by polygenic scores'
DOI: 10.6084/m9.figshare.14850369
title: ChIP-seq.fc.bigwig

description: ChIP-seq of H3K27me3 in mESCs
DOI: 10.6084/m9.figshare.14850387
title: ChIP-seq.2.fc.bigwig

description: ChIP-seq of H3K27me3 in mESCs
DOI: 10.6084/m9.figshare.14850387.v1
title: ChIP-seq.2.fc.bigwig

description: ChIP-seq of H3K27me3 in mESCs
DOI: 10.6084/m9.figshare.14850381
title: CoBATCH.fc.bigwig

description: CoBATCH of H3K27me3 in mESCs
DOI: 10.6084/m9.figshare.14850381.v1
title: CoBATCH.fc.bigwig

description: CoBATCH of H3K27me3 in mESCs
DOI: 10.6084/m9.figshare.14850378
title: CUTTag.fc.bigwig

description: CUT&Tag of H3K27me3 in mESCs
DOI: 10.6084/m9.figshare.14850378.v1
title: CUTTag.fc.bigwig

description: CUT&Tag of H3K27me3 in mESCs
DOI: 10.6084/m9.figshare.14850393
title: Stacc-seq.fc.bigwig

description: Stacc-seq of H3K27me3 in mESCs
DOI: 10.6084/m9.figshare.14850393.v1
title: Stacc-seq.fc.bigwig

description: Stacc-seq of H3K27me3 in mESCs
DOI: 10.6084/m9.figshare.14850384
title: itChIP-seq.fc.bigwig

description: itChIP-seq of H3K27me3 in mESCs
DOI: 10.6084/m9.figshare.14850384.v1
title: itChIP-seq.fc.bigwig

description: itChIP-seq of H3K27me3 in mESCs
DOI: 10.6084/m9.figshare.14850390
title: ULI-NChIP.fc.bigwig

description: ULI-NChIP of H3K27me3 in mESCs
DOI: 10.6084/m9.figshare.14850390.v1
title: ULI-NChIP.fc.bigwig

description: ULI-NChIP of H3K27me3 in mESCs
DOI: 10.3886/e143741
title: Project o1

description: The data is used for exploring how trait anxiety impacts procrastination.
DOI: 10.3886/e143741v1
title: Project o1

description: The data is used for exploring how trait anxiety impacts procrastination.
DOI: 10.6084/m9.figshare.5913181
title: Protist Ribosomal Reference database (PR2) - SSU rRNA gene database

description: The Protist Ribosomal Reference database (PR<sup>2</sup>) provides a unique access to eukaryotic small sub-unit (SSU) ribosomal RNA and DNA sequences, with curated taxonomy. The database mainly consists of nuclear-encoded protistan sequences. However, metazoans, land plants, macrosporic fungi and eukaryotic organelles (mitochondrion, plastid and others) are also included because they are useful for the analysis of high-troughput sequencing data sets. Introns and putative chimeric sequences have been also carefully checked. Taxonomic assignation of sequences consists of eight unique taxonomic fields.<br><br>The database is now synchronized on <b>Github </b>for easier maintenance. Please go to the GitHub site to download the files you need.<br><br>Latest version 4.14.0 (June 2021)<br><b>Home page</b>https://github.com/pr2database/pr2database<br><br><b>Latest version of files</b>https://github.com/pr2database/pr2database/releases<br><br><b>Information</b>https://pr2-database.org/<br><br><b>Reports problems and bugs</b>https://github.com/pr2database/pr2database/issues<br><br><b>Contact<br><br></b>Daniel VAULOT, Laure GUILLOU<br>DIPO team, Plankton Group, UMR 7144 CNRS-UPMC<br>Station Biologique,<br>Place G. Tessier<br>29680 Roscoff FRANCE<br>email: vaulot@sb-roscoff.fr<br><br><b>Please cite</b><br>Guillou, L., Bachar, D., Audic, S., Bass, D., Berney, C., Bittner, L., Boutte, C. et al. 2013. The Protist Ribosomal Reference database (PR2): a catalog of unicellular eukaryote Small Sub-Unit rRNA sequences with curated taxonomy. <i>Nucleic Acids Res.</i> 41:D597–604.<br>
DOI: 10.6084/m9.figshare.5913181.v11
title: Protist Ribosomal Reference database (PR2) - SSU rRNA gene database

description: The Protist Ribosomal Reference database (PR<sup>2</sup>) provides a unique access to eukaryotic small sub-unit (SSU) ribosomal RNA and DNA sequences, with curated taxonomy. The database mainly consists of nuclear-encoded protistan sequences. However, metazoans, land plants, macrosporic fungi and eukaryotic organelles (mitochondrion, plastid and others) are also included because they are useful for the analysis of high-troughput sequencing data sets. Introns and putative chimeric sequences have been also carefully checked. Taxonomic assignation of sequences consists of eight unique taxonomic fields.<br><br>The database is now synchronized on <b>Github </b>for easier maintenance. Please go to the GitHub site to download the files you need.<br><br>Latest version 4.14.0 (June 2021)<br><b>Home page</b>https://github.com/pr2database/pr2database<br><br><b>Latest version of files</b>https://github.com/pr2database/pr2database/releases<br><br><b>Information</b>https://pr2-database.org/<br><br><b>Reports problems and bugs</b>https://github.com/pr2database/pr2database/issues<br><br><b>Contact<br><br></b>Daniel VAULOT, Laure GUILLOU<br>DIPO team, Plankton Group, UMR 7144 CNRS-UPMC<br>Station Biologique,<br>Place G. Tessier<br>29680 Roscoff FRANCE<br>email: vaulot@sb-roscoff.fr<br><br><b>Please cite</b><br>Guillou, L., Bachar, D., Audic, S., Bass, D., Berney, C., Bittner, L., Boutte, C. et al. 2013. The Protist Ribosomal Reference database (PR2): a catalog of unicellular eukaryote Small Sub-Unit rRNA sequences with curated taxonomy. <i>Nucleic Acids Res.</i> 41:D597–604.<br>
DOI: 10.6084/m9.figshare.14850911.v1
title: Additional file 1 of Application of deep learning-based neural networks using theoretical seismograms as training data for locating earthquakes in the Hakone volcanic region, Japan

description: Additional file 1: Table S1. Comparisons of Root Mean Square Errors (RMSE) of hypocentral parameters estimated by 3DCNN and 3DCNN with the latitude grid size of the learning data set to be doubled.
DOI: 10.6084/m9.figshare.14850881.v1
title: Additional file 3 of In silico analysis of differentially expressed genesets in metastatic breast cancer identifies potential prognostic biomarkers

description: Additional file 3:. Table S2. Twelve raw datasets with under-expressed genes.
DOI: 10.6084/m9.figshare.14850878.v1
title: Additional file 2 of In silico analysis of differentially expressed genesets in metastatic breast cancer identifies potential prognostic biomarkers

description: Additional file 2:. Table S1. Twelve raw datasets with over-expressed genes.
DOI: 10.6084/m9.figshare.14850875.v1
title: Additional file 1 of In silico analysis of differentially expressed genesets in metastatic breast cancer identifies potential prognostic biomarkers

description: Additional file 1: Supplementary Figure S1. KIF2C and ESR1 are hub genes the most significantly co-expressed with the potential biomarker candidate genes. (A and B) Shown are Pearson's pairwise correlation plots of RNA-seq gene expression between four DOE-A (A) or three DUE-A genes (B) and their most significantly co-expressed hub genes identified from PPI networks. Statistical analyses were performed by the pre-set analytic method of bc-GenExMiner. Supplementary Figure S2. Comparison of mRNA expression of the two most significantly co-expressed hub genes (KIF2C and ESR1) between basal-like or triple-negative breast cancer and other subtypes of breast cancer. (A and B) RNA-seq data of KIF2C and ESR1 were obtained from the Cancer Cell Line Encyclopedia (CCLE) and analyzed. N = 31 in BL/TNBC and N = 26 in luminal type cell lines. (C and D) RNA-seq data of KIF2C and ESR1 from The Cancer Genome Atlas (TCGA) [58] were analyzed at bc-GenExMiner v4.3. N = 97 in BL/TNBC and N = 736 in non-BL/TNBC type breast cancer patient samples. Statistical significance in A and B was determined by unpaired t-tests and those in C and D were determined by the pre-set analytic method of bc-GenExMiner. Supplementary Figure S3. Correlation between the expression levels of two co-expressed hub genes (KIF2C and ESR1) and patient survivals. (A and B) Relapse-free, overall, distant metastasis-free, and post-progression survival of two co-expressed hub genes (KIF2C in (A); ESR1 in (B)) were stratified by the expression levels of each gene (low or high). Expression data were analyzed by KM plotter ( http://kmplot.com/ ). JetSet best probes were selected and patients (for KIF2C, N = 3951 in RFS, = 1402 in OS, = 1746 in DMFS and = 414 in PPS; for ESR1, N = 3951 in RFS, = 1402 in OS, = 1746 in DMFS and = 414 in PPS) were split by median expression. (C) Metastatic relapse-free survival of KIF2C and ESR1 was stratified by the expression levels of each gene (low or high). Microarray expression data were analyzed by bc-GenExMiner v4.3 ( http://bcgenex.centregauducheau.fr/ ). Patients (KIF2C, N = 4533; ESR1, N = 4785) were split by median expression. Statistical analyses were performed by pre-set analytic methods. HRs (hazardous ratios) and 95% CIs (confidence intervals) are indicated.
DOI: 10.6084/m9.figshare.14850848.v1
title: Additional file 1 of The Retornus-2 study: impact of respiratory muscle training in subacute stroke patients with dysphagia, study protocol of a double-blind randomized controlled trial

description: Additional file 1. A: Informed consent. B: Informed consent.
DOI: 10.6084/m9.figshare.14850847.v1
title: Additional file 2 of Vertical clinging and leaping induced evolutionary rate shifts in postcranial evolution of tamarins and marmosets (Primates, Callitrichidae)

description: Additional file 2. Details on specimens, scanning resolution, scanning apparatus and operators.
DOI: 10.6084/m9.figshare.14850844.v1
title: Additional file 1 of Vertical clinging and leaping induced evolutionary rate shifts in postcranial evolution of tamarins and marmosets (Primates, Callitrichidae)

description: Additional file 1: Table S1. Designation of the anatomical landmarks used for the humerus. Fig. S1. Location of the anatomical landmarks used for the humerus. Table S2. Designation of the anatomical landmarks used for the femur. Fig. S2. Location of the anatomical landmarks used for the femur. Table S3. Number of curve sliding landmarks per curve for humerus and femur. Fig. S3. Deformations associated with PCA axes. Table S4. Test for evolutive rate shift in shape across the phylogeny. Fig. S4. Node numbering used in the Table S4.
DOI: 10.5281/zenodo.4739760
title: Arabic Word Embedding Models

description: <strong> These are several Arabic Word Embedding Models for NLP tasks and it has been described in our paper titled "</strong>Leveraging Arabic Sentiment Classification Using an Enhanced CNN-LSTM Approach and Effective Arabic Text Preparation<strong>" </strong>
DOI: 10.5281/zenodo.4739759
title: Arabic Word Embedding Models

description: <strong> These are several Arabic Word Embedding Models for NLP tasks and it has been described in our paper titled "</strong>Leveraging Arabic Sentiment Classification Using an Enhanced CNN-LSTM Approach and Effective Arabic Text Preparation<strong>" </strong>
DOI: 10.6084/m9.figshare.14850829.v1
title: Additional file 7 of OLIG2 regulates lncRNAs and its own expression during oligodendrocyte lineage formation

description: Additional file 7: Table S5. A list of statistically significant targets in OLIG2 RIP-Seq experiments
DOI: 10.6084/m9.figshare.14850820.v1
title: Additional file 5 of OLIG2 regulates lncRNAs and its own expression during oligodendrocyte lineage formation

description: Additional file 5: Table S4. The annotation of ‘K4 only’, ‘K27 only’, and bivalent domains in NSCs, OPCs and NFOs (upstream and downstream 2 kb of TSS).
DOI: 10.6084/m9.figshare.14850814.v1
title: Additional file 3 of OLIG2 regulates lncRNAs and its own expression during oligodendrocyte lineage formation

description: Additional file 3: Table S3. The gene expression patterns of lncRNA bound by OLIG2 in NSCs, OPCs and NFOs.
DOI: 10.6084/m9.figshare.14850811.v1
title: Additional file 2 of OLIG2 regulates lncRNAs and its own expression during oligodendrocyte lineage formation

description: Additional file 2: Table S2. The differentiation expressed genes of OPCs vs. NSCs and NFOs vs. OPCs (At least one sample's (NSCs/OPCs/NFOs) FPKM&gt; 1, FDR 1).
DOI: 10.6084/m9.figshare.14850808.v1
title: Additional file 1 of OLIG2 regulates lncRNAs and its own expression during oligodendrocyte lineage formation

description: Additional file 1: Table S1. The annotation of Olig2 binding peaks in NSCs, OPCs, and NFOs (upstream 5 kb plus genebody).
DOI: 10.6084/m9.figshare.14850794.v1
title: Additional file 9 of A synbiotic intervention modulates meta-omics signatures of gut redox potential and acidity in elective caesarean born infants

description: Additional file 9: Supplementary Table 8. Non-parametric Mann-Whitney U tests performed at each time point on each pair of study group combination at genus level.
DOI: 10.6084/m9.figshare.14850791.v1
title: Additional file 8 of A synbiotic intervention modulates meta-omics signatures of gut redox potential and acidity in elective caesarean born infants

description: Additional file 8: Supplementary Table 7. Non-parametric Mann-Whitney U tests performed at each time point on each pair of study group combination at family level.
DOI: 10.6084/m9.figshare.14850788.v1
title: Additional file 7 of A synbiotic intervention modulates meta-omics signatures of gut redox potential and acidity in elective caesarean born infants

description: Additional file 7: Supplementary Table 6. 16S rRNA Species data (Mean and SD) per group and time point.
DOI: 10.6084/m9.figshare.14850785.v1
title: Additional file 6 of A synbiotic intervention modulates meta-omics signatures of gut redox potential and acidity in elective caesarean born infants

description: Additional file 6: Supplementary Table 5. 16S rRNA Genus data (Mean and SD) per group and time point.
DOI: 10.6084/m9.figshare.14850782.v1
title: Additional file 5 of A synbiotic intervention modulates meta-omics signatures of gut redox potential and acidity in elective caesarean born infants

description: Additional file 5: Supplementary Table 4. 16S rRNA Family data (Mean and SD) per group and time point.
DOI: 10.6084/m9.figshare.14850779.v1
title: Additional file 4 of A synbiotic intervention modulates meta-omics signatures of gut redox potential and acidity in elective caesarean born infants

description: Additional file 4: Supplementary Table 3. Permutational Multivariate Analysis of Variance (PERMANOVA) tests.
DOI: 10.6084/m9.figshare.14850776.v1
title: Additional file 3 of A synbiotic intervention modulates meta-omics signatures of gut redox potential and acidity in elective caesarean born infants

description: Additional file 3: Supplementary Table 2. 16S rRNA sequencing outputs.
DOI: 10.6084/m9.figshare.14850773.v1
title: Additional file 2 of A synbiotic intervention modulates meta-omics signatures of gut redox potential and acidity in elective caesarean born infants

description: Additional file 2: Supplementary Table 1. Number of subjects per group and number of 16S rRNA samples per group and time point.
DOI: 10.6084/m9.figshare.14850769.v1
title: Additional file 1 of Studying visual search without an eye tracker: an assessment of artificial foveation

description: Additional file 1. Example of artificial foveation technique implemented in E-Prime 3.0.
DOI: 10.6084/m9.figshare.14850767.v1
title: Additional file 13 of A synbiotic intervention modulates meta-omics signatures of gut redox potential and acidity in elective caesarean born infants

description: Additional file 13: Supplementary Table 12. SEED functional annotation.
DOI: 10.6084/m9.figshare.14850764.v1
title: Additional file 12 of A synbiotic intervention modulates meta-omics signatures of gut redox potential and acidity in elective caesarean born infants

description: Additional file 12: Supplementary Table 11. KEGG functional annotation.
DOI: 10.6084/m9.figshare.14850761.v1
title: Additional file 11 of A synbiotic intervention modulates meta-omics signatures of gut redox potential and acidity in elective caesarean born infants

description: Additional file 11: Supplementary Table 10. Categorization of bacterial families into functional groups (anaerobic/aerobic metabolism and Lactic Acid Bacteria).
DOI: 10.6084/m9.figshare.14850758.v1
title: Additional file 10 of A synbiotic intervention modulates meta-omics signatures of gut redox potential and acidity in elective caesarean born infants

description: Additional file 10: Supplementary Table 9. Non-parametric Mann-Whitney U tests performed at each time point on each pair of study group combination at species level.
DOI: 10.6084/m9.figshare.14850746.v1
title: Additional file 9 of Reliable wolf-dog hybrid detection in Europe using a reduced SNP panel developed for non-invasively collected samples

description: Additional file 9: Table S9. NEWHYBRIDS and STRUCTURE results for other canid species that successfully amplified with the SNP panel.
DOI: 10.6084/m9.figshare.14850743.v1
title: Additional file 8 of Reliable wolf-dog hybrid detection in Europe using a reduced SNP panel developed for non-invasively collected samples

description: Additional file 8: Table S8. NEWHYBRIDS and STRUCTURE results for wolves living in two animal parks in Germany.
DOI: 10.6084/m9.figshare.14850740.v1
title: Additional file 7 of Reliable wolf-dog hybrid detection in Europe using a reduced SNP panel developed for non-invasively collected samples

description: Additional file 7: Table S7. NEWHYBRIDS and STRUCTURE results for Finnish museum samples categorized in different time periods as in Jansson et al. [54].
DOI: 10.6084/m9.figshare.14850737.v1
title: Additional file 6 of Reliable wolf-dog hybrid detection in Europe using a reduced SNP panel developed for non-invasively collected samples

description: Additional file 6: Table S6. Description of suspected hybrid samples and discussion of the corresponding results. Microsatellite results, used for comparison, are unpublished.