Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

61 to 70 of 766 Results
ZIP Archive - 583.0 KB - MD5: 01568d0e2c57c45b817aaf4495f319f5
Zipped archive containing geodatabase with dataset.
Plain Text - 8.8 KB - MD5: 91ba613311525164467183375f7d3e63
README file.
Jan 10, 2024
Havens, Zane, 2024, "Landscape Connectivity and Social Vulnerability in Washington, DC, USA", https://doi.org/10.18130/V3/FWYKK4, University of Virginia Dataverse, V1
This dataset contains landscape metric and social vulnerability calculations for sample plots within the boundaries of Washington, DC.
ZIP Archive - 1.4 MB - MD5: 3ee9cc1eef7c3bfb4ab8e10b3f234155
Zipped Archive containing R Code and Geodatabase
Plain Text - 10.1 KB - MD5: c938743a05e88364b598107fdf4eabc9
README file
Dec 11, 2023
LaRoche, Carly; Wakefield, Kirstin; Reimer, Janet J., 2023, "Coastal and Ocean Acidification Monitoring Inventory for the Mid-Atlantic", https://doi.org/10.18130/V3/RWBODF, University of Virginia Dataverse, V1
These data comprise the locations and methods of ocean and coastal acidification monitoring in the Mid-Atlantic. As there is no widely accepted method yet to measure acidification (CO3-2) directly, it is calculated from two of the four commonly measured carbonate system parameters (pH, pCO2, dissolved inorganic carbon [DIC] and total alkalinity [TA...
Adobe PDF - 147.6 KB - MD5: b4a93a5dfbbbb693262e6ae2ca9f923d
Coastal and Ocean Acidification Inventory for the Mid-Atlantic Metadata
ZIP Archive - 1.9 MB - MD5: 5826839db5641d7d19e0d588215f9ff8
Coastal and Ocean Acidification Inventory for the Mid-Atlantic
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)
MS Word - 18.5 KB - MD5: b763f686d7d26fb295d781c623e369f7
This file contains instructions on how to use and read the data.
Add Data

Log in to create a dataverse or add a dataset.

Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.