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Now showing 1 - 20 of 319
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    Adams County Wildfire Mitigation Plan
    (2004-01-26) [Government Agency(s)]
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    Alamosa County FPD CWPP
    (2009-05-01) [Government Agency(s)]
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    Alta Sierra CWPP
    (2004-12-01) [Government Agency(s)]
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    Amador County Fire Hazard Reduction Plan
    (2005-05-26) [Government Agency(s)]
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    Amazon Rainforest Microbial Observatory Metagenomes
    (University of Oregon, 2010-04) Bohannan, Brendan J. M.; Meyer, Kyle M.; Klein, Ann M.; Rodrigues, Jorge L. M.; Nusslein, Klaus; Tringe, Susannah G.; Mirza, Babur S.; Tiedje, James M.
    This data archive contains 79 files of quality-filtered, shotgun metagenomic DNA sequence data generated as part of the Amazon Rainforest Microbial Observatory (ARMO) project. Ten soil cores were collected from Amazon Rainforest Microbial Observatory in April 2010 (5 soil cores from primary rainforest and 5 from a 38 year-old converted pasture). Soil was sampled to a depth of 10 cm (after removal of the litter layer) using standard coring methods and homogenized. Samples were frozen on the spot, transported on dry ice, and stored at -80° C until extraction. DNA was extracted from five soil subsamples per core (i.e. 50 extractions per 10 soil cores). Metagenomic libraries were constructed from the 10 samples using the Illumina TruSeq kit with ~270 bp insert sizes according to standard protocol. Sequencing of 150 bp paired-end reads was performed on the Illumina HiSeq platform at the Joint Genome Institute. In total, 21 lanes (2-3 lanes per sample) were sequenced to produce 6.4 billion paired-end reads, resulting in an average of 636 million (±12%) reads per sample. Raw sequences were uploaded to MG-RAST (http://metagenomics.anl.gov), and paired-end reads were joined using fastq-join as part of the MG-RAST pipeline. Single end reads that could not be joined were retained. After merging paired-end reads, a total of 6.3 billion sequences with an average length of 171 bp were processed through the MG-RAST pipeline. All other pipeline options were left as default (i.e. trimming of low quality bases, removal of artificial replicate sequences, and filtering of sequences with greater than 5 ambiguous bases). Also included are two OTU tables (community matrices).
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    Amazonian Dark Earths [Dataset]
    (University of Oregon, 2020) Silva, Lucas C. R.; Corrêa, Rodrigo S.; Wright, Jamie L.; Bomfim, Barbara; Hendricks, Lauren; Gavin, Daniel G.; Muniz, Aleksander W.; Martins, Gilvan Coimbra; Motta, Antônio Carlos Vargas; Barbosa, Julierme Zimmer; Melo, Vander de Freitas; Young, Scott D.; Broadley, Martin R.; Santos, Roberto V.
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    Angelus Oaks CWPP
    (2005) [Government Agency(s)]
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    Appendix A February 2011 Blaine County CWPP
    (2011-02-01) [Government Agency(s)]
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    Applegate Community's Community Fire Protection Strategy
    (2002-08-01) [Government Agency(s)]
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    Arivaca Sasabe Community Wildfi re Protection Plan
    (2007-01-01) [Government Agency(s)]
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    Ashland CWPP
    (2004-01-01) [Government Agency(s)]
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    AUBURN LAKE TRAILS COMMUNITY WILDFIRE PROTECTION PLAN
    (2005-06-27) [Government Agency(s)]
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    Audio Cartography
    (University of Oregon, 2018) Brittell, Megen
    The "Audio Cartography" project explored representation of geospatial data in an auditory display, focusing on the temporal arrangement of information within the an audio stream. The work involved the design of audio symbology, rending auditory maps, and evaluation of those maps through behavioral and neuroimaging methods. This collection serves to document and archive the study as part of dissertation research in the Department of Geography at the University of Oregon. Files in this collection are organized in folders based on the role that each file serves (see tableOfContents). A README text file describes the contents of its respective folder and states the license under which contents of the folder are shared. Maps are presented in audio (.wav), visual (.pdf), matrix (.txt), and tabular (.csv) forms; details of the map data are summarized in tabular form (.tsv) and described by an accompanying metadata file (.json). Computer code is provided as ascii text and the programming language or software application for which a script was written is reflected in the respective file extension: Bash (.sh), PsychoPy (.psyexp), Python (.py), R (.R), and SLURM/Bash (.srun); configuration files and script resources are provided in audio (.wav), graphic (.png), tabular (.csv), or FSL FEAT (.fsf) formats.
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    The Axiology of Necrologies: Using Natural Language Processing to Examine Values in Obituaries (Dissertation Code and Limited Data)
    (2016-11-30) Levernier, Jacob
    This repository contains software code and limited datasets for the dissertation titled "The Axiology of Necrologies: Using Natural Language Processing to Examine Values in Obituaries."
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    Baker County CWPP
    (2006-02-15) [Government Agency(s)]
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    Bannock County Fire Mitigation Action Plan Amendment
    (2007-07-20) [Government Agency(s)]
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