Earth Sciences Data

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https://hdl.handle.net/1794/22965

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Now showing 1 - 7 of 7
  • ItemOpen Access
    Data for Narrative Transportation & Emotional Responses to Storytelling Maps
    (University of Oregon, 2023-11-28) Fish, Carolyn S.; Garrison, Michala A.; Reis, Schyler A.
  • ItemOpen Access
    Climate Change Maps in the Conservative Media 2012-2020 & Content Analysis
    (University of Oregon, 2023-05) Carolyn S., Fish; Katie Quines, Kreitzberg
  • ItemOpen Access
    Climate Change Maps in the US Media 2012-2017 and Content Analysis
    (University of Oregon, 2020) Fish, Carolyn S.
  • ItemOpen Access
    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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    ItemOpen Access
    Supporting Information for Fire presence affects patterns and controls on asymbiotic nitrogen fixation in seasonally flooded forests of southern Amazonia
    (University of Oregon, 2019) Bomfim, Barbara; Silva, Lucas C. R.; Marimon-Júnior, Ben H.; Marimon, Beatriz S.; Doane, Timothy A.; Horwath, William R.
    In this study, we focus on the biogeochemical consequences of fire on seasonally flooded (SF) forests of southern Brazilian Amazonia, where recent widespread rising tree mortality has been linked to changes in fire regimes. Recent studies have hypothesized that a quasi-permanent state-shift transition (from typical Amazon forests to open savannas) can occur when fire results in further depletion of already impoverished nutrient pools. Nitrogen (N) inputs via asymbiotic dinitrogen-N2 fixation (ANF) could be important for predicting the likelihood of post-fire forest recovery, but fire effects on ANF have yet to be quantified in this region. Here, we quantified ANF through combined field sampling and laboratory measurements using 15N-labeled dinitrogen (15N2) incubations, and quantified 14 biogeochemical parameters in surface (0−10 cm) and subsurface (10−30 cm) soils from burned and unburned areas within five SF forest stands selected to represent a gradient of fire disturbance, from low (once in 13 years) to high (five times in 13 years) frequency. We find that ANF rates are ~24% lower in burned relative to unburned surface soils, with over 50% of the variance in ANF explained by soil carbon (C) to N ratio and phosphorus (P) availability. Our data indicate that interactions between soil C:N:P stoichiometry and fire presence affect ANF in a predictable way. Taken together, these findings show that changes in soil carbon and nutrients explain a decrease in ANF with potential for long-term decline in C sequestration from altered successional trajectories in forest ecosystems of southern Amazonia.
  • ItemOpen Access
    Photography and field data used for hydrogeomorphic analysis of the Rogue River in southwest Oregon, USA
    (University of Oregon, 2019) Zettler-Mann, Aaron
    This data set contains three data types. The majority of the data here are the individual photographs used to build the Structure-from-Motion models of the gravel bars used in the study. The photos for each gravel bar are saved in a separate folder. In addition, there are a series of folders which contain the imagery used to produce maps of water surface roughness. There is also tabular data that was generated from the single-beam echo sounder which recorded depth.
  • ItemOpen Access
    Supplementary Data Terrestrial Mollusk Location and Species Count
    (University of Oregon, 2017) Emery-Wetherell, Meaghan Marie; Mathew, Christine; Church, Cameron; Dellard, Ellie; Davis, Edward Byrd; Roering, Josh
    Many species of terrestrial mollusks are small and difficult to find, with poorly known ranges and habitat preferences. Because desiccation is a primary cause of mortality for many terrestrial mollusks, incorporating wetness as a habitat variable may improve survey results for different species of terrestrial mollusks. We compared presence and abundance data from terrestrial mollusk surveys in Tillamook Resource Area to two measures of relative wetness: topographic wetness index (TWI) and geomorphic features (landslides, debris-flow channels, etc.). Hurdle Model regression revealed a positive correlation between increased TWI and likelihood of presence or abundance for five species, and a negative correlation for four species. Overall species diversity and total mollusk count were negatively correlated with increased TWI, but the effect size was small (p = 0.02, R2 = -0.03). Our Kruskal-Wallis Analysis of Variance of TWI between species was significant (p<0.001), indicating terrestrial mollusks occupy significantly different wetness regimes - but this relationship was driven entirely by the wetness specialization of Hemphillia glandulosa. Our chi square analysis of topographic features found significant preferences of different species for different topographic types, which correlated loosely but not precisely to the preferences indicated by TWI. These results show that altering current terrestrial mollusk survey protocol to include geomorphic features (which are simpler and less time-intensive than calculating TWI) would increase detection likelihood of certain species, including Hemphillia glandulosa, a species protected under the Survey and Manage guidelines of the Northwest Forest Plan.