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Welcome to the Texas Data Repository, a statewide archive of research data from Texas Digital Library (TDL) member institutions. To add, share, and publish your data or work on a project, select your local institutional repository from the institutions below. To find datasets from across Texas institutional dataverses, start here.

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    31 to 40 of 478 Results
    Apr 20, 2018 - Mkindo Dataverse
    Assefa, Tewodros, 2018, "Ex-ante Agricultural Policy/Environmental eXtender Data for the Mkindo Watershed", doi:10.18738/T8/N6QYGV, Texas Data Repository Dataverse, V1
    Agricultural Policy/Environmental eXtender (APEX) data for Ex-ante analysis.
    Apr 18, 2018 - Gunnar Schade Dataverse
    Schade, Gunnar, 2018, "Karnes City monitor data, 2015", doi:10.18738/T8/O9A5EN, Texas Data Repository Dataverse, V1
    comma-delimited hourly data from the Karnes City air quality monitor operated by TCEQ; 2015 data only
    Gunnar Schade Dataverse(Texas A and M University)
    Apr 18, 2018Texas A&M University Dataverse
    Dr. G.W. Schade, Department of Atmospheric Sciences, created in 2018
    Apr 13, 2018 - Glioblastoma epigenetic profiles
    Battenhouse, Anna; Hall, Amelia Weber, 2018, "ChIP-seq peak calls for epigenetic marks in GBM tumors", doi:10.18738/T8/YJMLKO, Texas Data Repository Dataverse, V1
    MACS2 narrowPeak files from ChIP-seq experiments for 11 primary GBM tumors, each targeting CTCF transcription factor marks and H3K27Ac, H3K27Me3, H3K4Me1, H3K4Me3, H3K9Ac, and H3K9Me3 histone modifications. See Methods section of doi:10.1158/0008-5472.CAN-17-1724 for more informa...
    Apr 13, 2018 - Glioblastoma epigenetic profiles
    Hall, Amelia Weber, 2018, "Chromatin state model for epigenetic marks in GBM tumors", doi:10.18738/T8/UNDRTW, Texas Data Repository Dataverse, V1
    Chromatin state model based on CTCF transcription factor marks and H3K27Ac, H3K27Me3, H3K4Me1, H3K4Me3, H3K9Ac, and H3K9Me3 histone modifications in 11 primary GBM tumors, produced by ChromHMM from binarized significant ChIP-seq peaks. See Methods section of doi:10.1158/0008-5472...
    Apr 13, 2018 - Glioblastoma epigenetic profiles
    Battenhouse, Anna; Hall, Amelia Weber, 2018, "RNA-seq expression quantification for GBM tumors and cell lines", doi:10.18738/T8/VVWHDG, Texas Data Repository Dataverse, V1
    RNA-seq expression quantification for GBM tumors and cell lines using Tuxedo suite tools Cuffquant, Cuffnorm and Cuffdiff starting from Tophat2-aligned BAMs. See Methods section of doi:10.1158/0008-5472.CAN-17-1724 for more information.
    Apr 13, 2018 - Glioblastoma epigenetic profiles
    Battenhouse, Anna; Hall, Amelia Weber, 2018, "ChIP-seq whole-genome signal for epigenetic marks in GBM tumors", doi:10.18738/T8/QOWYPD, Texas Data Repository Dataverse, V1
    Whole-genome GBM tumor ChIP-seq signal on hg38, input-corrected and normalized for sequencing depth, from MACS2 callpeak and bdgcmp commands used to produce signal track bigWig files. See Methods section of doi:10.1158/0008-5472.CAN-17-1724 for more information.
    Apr 13, 2018 - Glioblastoma epigenetic profiles
    Battenhouse, Anna; Hall, Amelia Weber, 2018, "RNA-seq whole-genome signal for GBM tumors and cell lines", doi:10.18738/T8/BEXKWJ, Texas Data Repository Dataverse, V1
    Whole-genome RNA-seq signal per million reads for primary GBM tumors and cell lines, as hg38 bigWig track files produced from Tophat2-aligned BAMs. See Methods section of doi:10.1158/0008-5472.CAN-17-1724 for more information.
    Glioblastoma epigenetic profiles(University of Texas at Austin)
    Apr 13, 2018University of Texas at Austin Dataverse
    Supplemental processed data for publication: Bivalent chromatin domains in glioblastoma reveal a subtype-specific signature of glioma stem cells. Hall AW, Battenhouse AM, Shivram H, Morris AR, Cowperthwaite MC, Shpak M, Iyer VR. Cancer Res., 2018 March 16 [Epub ahead of print]. P...
    Apr 11, 2018 - Spot-tailed Earless Lizard
    Wolaver, Brad , 2018, "Chapter 11.1. Effects of Future Eagle Ford Shale Play Development on Landscape", doi:10.18738/T8/1LLQCM, Texas Data Repository Dataverse, V1
    An improved approach for forecasting ecological impacts from future drilling in unconventional shale oil and gas plays
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