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1 to 10 of 14 Results
May 1, 2023
Wang, Youwei; Limaye, Ajay B.; Chadwick, Austin J., 2023, "Binary images and Particle Image Velocimetry data and code for mapping channel thread migration in laboratory braided rivers", https://doi.org/10.18130/V3/EIBDZC, University of Virginia Dataverse, V1
Binary images separating channel threads from bars, output from PIVlab analysis, codes for postprocessing, and filtered and unfiltered vector fields for channel thread migration using a laboratory dataset (2023-05-01)
Jan 19, 2023
Limaye, Ajay B.; Adler, Jacob B.; Moodie, Andrew J.; Whipple, Kelin X.; Howard, Alan D., 2022, "Numerical model and geospatial data for fan-shaped deposits at Hypanis Valles, Mars", https://doi.org/10.18130/V3/E0EGOC, University of Virginia Dataverse, V2
Numerical model code and output, and geospatial data files related to fan-shaped sedimentary deposits at Hypanis Valles, Mars
Aug 26, 2022
Li, Yuan; Limaye, Ajay B., 2022, "Geospatial data for natural channel centerlines across the continental US", https://doi.org/10.18130/V3/IUMGS7, University of Virginia Dataverse, V3
This data repository includes (1) the original observations for channel bank positions of 143 meandering reaches in 89 rivers across the continental US in the dataset of the National Cooperative Highway Research Program Project (NCHRP) 24-26 (Lagasse et al., 2004), and (2) the ge...
Feb 11, 2022
Mitchell, Kayla, 2022, "OCO-2 XCO2 Seasonal and Sub-seasonal Variability Characterization (v10, 2014-2019)", https://doi.org/10.18130/V3/GXOU0T, University of Virginia Dataverse, V1
This dataset contains the results of a variability analysis of NASA's Orbiting Carbon Observatory-2 (OCO-2) v10 Level 2 XCO2 in 360 5x5 degree bins across North America and adjacent Ocean collected from 9-2014 to 12-2019. Data was processed using Matlab R2021a. Average magnitudes...
Jul 27, 2021
Limaye, A. B., 2021, "Sinuosity data for numerically modeled and natural channels", https://doi.org/10.18130/V3/TRTTIS, University of Virginia Dataverse, V1
This dataset contains modeled river centerlines and statistics for modeled and natural channels as described in Limaye, A. B., Lazarus, E. D., Li, Y., and Schwenk, J., 2021, River sinuosity describes a continuum between randomness and ordered growth, Geology, doi:10.1130/G49153.1...
Oct 5, 2020
Fang, Bin, 2020, "Research data and codes for GRL paper", https://doi.org/10.18130/V3/4MMOLV, University of Virginia Dataverse, V1, UNF:6:EebOCcgNoB7DDCHR+55Npg== [fileUNF]
This data collection contains research data and codes for GRL paper
Aug 1, 2020
Limaye, A. B., 2020, "Geospatial data for experimental and natural channel belts", https://doi.org/10.18130/V3/XBYWYO, University of Virginia Dataverse, V1
This dataset includes geospatial data for experimental and natural channel belts. The experimental channel belts were evolved at St. Anthony Falls Laboratory, University of Minnesota, in 2017-2018. The natural channel belts were measured using satellite images in Google Earth. Di...
Apr 17, 2020
Malcomb, Jacob, 2020, "Assessing temperate forest growth and climate sensitivity in response to a long-term whole-watershed acidification experiment", https://doi.org/10.18130/V3/FRZYXV, University of Virginia Dataverse, V2, UNF:6:N7UGCP8ZY3U/Na+Wg9iI+Q== [fileUNF]
Datasets include tree growth, soil chemistry, climate, streamflow, and forest inventory data from Watersheds 3 and 7 at the Fernow Experimental Forest, West Virginia. N and S deposition data, collected by the National Atmospheric Deposition Program in Parsons, WV (Site WV18) is a...
Jan 15, 2020
Scanlon, Todd, 2020, "Mercury Accumulation in Tree Rings: Observed Trends in Quantity and Isotopic Composition in Shenandoah National Park, Virginia", https://doi.org/10.18130/V3/MBZ7SN, University of Virginia Dataverse, V1, UNF:6:HFgO6JSk20cbY9+3QGnjaA== [fileUNF]
Datasets describe growth and Hg chemistry from tree cores collected in Shenandoah National Park, Virginia.
Jun 7, 2019 - LibraData: UVa's Scholarly Research Dataverse
Grise, Kevin; Medeiros, Brian; Benedict, James J.; Olson, Jerry G., 2019, "Replication Data for: Investigating the influence of cloud radiative effects on the extratropical storm tracks", https://doi.org/10.18130/V3/OQN3J0, University of Virginia Dataverse, V1
This data set archives data from cloud locking simulations using version 2.0.1 of the Community Earth System Model. The data archive here was used to calculate the figures and tables in Grise et al. (2019). Please see the manuscript (as cited below) for full details of the method...
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