31 to 40 of 44 Results
Jul 29, 2020
Fuhrman, Jay, 2020, "Replication Data for "Food Energy Water Tradeoffs of Negative Emissions Technologies in a + 1.5C Future", https://doi.org/10.18130/V3/JKJAOG, University of Virginia Dataverse, V1, UNF:6:b7ggshOJais8SEBQJRZIMw== [fileUNF]
This repository contains the additional input files used in the incorporation of direct air capture technology into GCAM v5.2, as well as output data and python scripts used to produce figures for the manuscript "Food-Water-Energy Implications of Negative Emissions Technologies in a + 1.5C Future", published in the journal Nature Climate Change. Th... |
Jul 10, 2020 - Ihlefeld Research Group
Ihlefeld, Jon; Luk, Ting S.; Smith, Sean W.; Fields, Shelby S.; Jaszewski, Samantha T.; Constantin, Costel; Hirt, Daniel M.; Riffe, Will T.; Bender, Scott; Ayyasamy, Mukil V.; Balachandran, Prasanna V.; Lu, Ping; Henry, Michael David; Davids, Paul S., 2020, "Complex Refractive Index of Hafnium Zirconium Oxide (Hf1-xZrxO2, 0≤x≤1)", https://doi.org/10.18130/V3/KGK8MW, University of Virginia Dataverse, V1, UNF:6:oEvrgujo4clrL4no/7x7bQ== [fileUNF]
This dataset contains the complex refractive index calculated from spectroscopic ellipsometry data collected on 20 nm thick hafnium zirconium oxide films subjected to a 600 degree Celsius rapid thermal anneal that are reported in "Compositional dependence of linear and nonlinear optical response in crystalline hafnium zirconium oxide thin films," J... |
Apr 23, 2020
Croom, Brendan; Burden, Diana; Jin, Helena; Li, Xiaodong, 2020, "Data for: Interlaboratory study of digital volume correlation error due to X-ray computed tomography equipment and scan parameters", https://doi.org/10.18130/V3/1UOVKO, University of Virginia Dataverse, V1
The methods describing the acquisition of the dataset are described in the corresponding paper (submitted to Experimental Mechanics with the same title). In brief, six participating laboratories were asked to acquire a set of high-quality X-ray Computed Tomography (XCT) scans to test the repeatability and accuracy of image-based Digital Volume Corr... |
Nov 4, 2019 - Department of Computer Science
Venkataswamy, Vanamala, 2019, "Pratikriti: A Data Replication Service in the GFFS", https://doi.org/10.18130/V3/2BM6LO, University of Virginia Dataverse, V1
This paper describes the design and implementation of Pratikriti, a data replication service with high availability, improved performance and strong data security. Pratikriti provides automatic replication for file system resources in Genesis II [1][6]. Genesis II supports the LightweightExport service [2]; which maps the data residing on local mac... |
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Bennett, Jeffrey; Fuhrman, Jay; Clarens, Andres, 2019, "Model and Data for: Feasibility of Using sCO2 Turbines to Balance Load in Power Grids with a High Deployment of Solar Generation", https://doi.org/10.18130/V3/IKPFBV, University of Virginia Dataverse, V1, UNF:6:Kum9urtgB8cwDM/9LsGM2Q== [fileUNF]
This dataset includes the model and data used in "Feasibility of Using sCO2 Turbines to Balance Load in Power Grids with a High Deployment of Solar Generation" by Bennett et al., available at https://doi.org/10.1016/j.energy.2019.05.143 Data is provided in two parts: 1) solar panel modeling and 2) BLIS. Part 1 contains measured solar generation and... |
Jul 20, 2018 - Department of Computer Science
Grimshaw, Andrew; Venkataswamy, Vanamala, 2018, "Performance of the Global Federated File System (GFFS)", https://doi.org/10.18130/V3/YWTLHC, University of Virginia Dataverse, V2
GFFS file transfer performance on LAN and WAN |
Nov 21, 2017 - Department of Computer Science
Coffman, Joel; Weaver, Alfred C., 2017, "Benchmark for Relational Keyword Search", https://doi.org/10.18130/V3/KEVCF8, University of Virginia Dataverse, V3
The benchmark for relational keyword search is a collection of data sets, queries, and relevance assessments designed to facilitate the evaluation of systems supporting keyword search in databases. The benchmark includes three separate data sets with fifty information needs (i.e., queries) for each data set and follows the traditional approach to e... |
