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651 to 660 of 745 Results
Oct 25, 2021 - Department of Electrical and Computer Engineering
Leal Sobral, Victor Ariel; Lach, John; Goodall, Jonathan L.; Campbell, Bradford, 2021, "Thermal Energy Harvesting Profiles in Residential Settings", https://doi.org/10.18130/V3/M9CP9C, University of Virginia Dataverse, V1, UNF:6:UjcS3Jjqo8F0r7QJG2fwgA== [fileUNF]
This repository contains the raw dataset, computed parameters and supporting material for the paper "Dataset: Thermal Energy Harvesting Profiles in Residential Settings", accepted in the ACM DATA Workshop co-located with ACM SenSys'21 and BuildSys'21, November 17, 2021, Coimbra, Portugal. We recommend users to navigate this dataset using the Tree v...
Sep 22, 2021 - School of Engineering and Applied Science
Bennett, Jeffrey; Clarens, Andres, 2021, "Model for "Life Cycle Meta-Analysis of Carbon Capture Pathways in Power Plants: Implications for Bioenergy with Carbon Capture and Storage"", https://doi.org/10.18130/V3/5W96LX, University of Virginia Dataverse, V1, UNF:6:86XUJumgwFyOG6VhuP1pjw== [fileUNF]
Model for "Life Cycle Meta-Analysis of Carbon Capture Pathways in Power Plants: Implications for Bioenergy with Carbon Capture and Storage" by Bennett et al. Details of how to use the model and process the results are provided in Instructions.txt and README.md.
Aug 17, 2021 - School of Engineering and Applied Science
Bennett, Jeffrey; Simpson, Juliet; Clarens, Andres; Loth, Eric, 2021, "Model and Data for "Techno-economic analysis of offshore isothermal compressed air energy storage in saline aquifers co-located with wind power"", https://doi.org/10.18130/V3/KGUVYS, University of Virginia Dataverse, V1, UNF:6:SZUMleW93F5ak05fUIrbNA== [fileUNF]
This dataset includes the model and data used in "Techno-economic analysis of offshore isothermal compressed air energy storage in saline aquifers co-located with wind power" by Bennett et al. Details of how to use the data and code are provided in Instructions.txt
Jul 27, 2021 - Department of Environmental Sciences
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.
Jul 24, 2021
Santiago Calderón, José Bayoán, 2021, "Votaciones senatoriales de 1ra Sesión Ordinaria de la 19ma Asamblea Legislativa de Puerto Rico", https://doi.org/10.18130/V3/R4DZTQ, University of Virginia Dataverse, V1, UNF:6:m6PYyWL5yuGfUBUtqqTRFw== [fileUNF]
Votaciones senatoriales de 1ra Sesión Ordinaria de la 19ma Asamblea Legislativa de Puerto Rico. Fuente de información incluye: https://www.senado.pr.gov (https://www.senado.pr.gov/Pages/VotacionMedidas.aspx - votos), https://openstates.org/graphql (para conseguir el rid de las medidas) y https://sutra.oslpr.org/osl/esutra/ (para la información de l...
May 9, 2021
Santiago Calderón, José Bayoán, 2021, "Resultados de la Elección General de Puerto Rico 2020 (Escrutinio General)", https://doi.org/10.18130/V3/151ON0, University of Virginia Dataverse, V1, UNF:6:VauoRofrvw94upRkJyrmPA== [fileUNF]
Los archivos presentados contienen la información de las actas del escrutinio general de la elección general del 2020 de Puerto Rico. La información se recopiló de la Comisión Estatal de Elecciones de Puerto Rico: http://elecciones2020.ceepur.org. La información sobre los centros de votación se obtuvo de los documentos provistos: https://www.ceepur...
May 4, 2021
Sasson, Jennifer; Campo, Joseph J; Carpenter, Rebecca; Young, Mary K.; Young, Arlo Z; Trappl-Kimmons, Krista; Oberai, Amit; Hung, Christopher; Edgar, Joshua; Teng, Andy A.; Pablo, Jozelyn V.; Liang, Xiaowu; Yee, Angela; William A. Petri Jr.; Camerini, David, 2021, "Diverse Humoral Immune Responses in Younger and Older Adult COVID-19 Patients: Datasets", https://doi.org/10.18130/V3/2ZLOWA, University of Virginia Dataverse, V1, UNF:6:kEh2P3hG722WuktIpECH1A== [fileUNF]
Protein array IgG, IgA, IgM signal intensity normalized data. This data set also contains clinical metadata and cytokine/chemokine/growth factor data used in the study.
Apr 7, 2021 - Center for Advanced Medical Analytics (CAMA)
Zimmet, Amanda M; Sullivan, Brynne A; Fairchild, Karen D; Moorman, J Randall; Isler, Joseph R; Wallman-Stokes, Aaron W; Sahni, Rakesh; Vesoulis, Zachary A; Ratcliffe, Sarah J; Lake, Douglas E, 2021, "Data Associated with the Publication: Vital Sign Metrics of VLBW Infants in Three NICUs: Implications for Predictive Algorithms", https://doi.org/10.18130/V3/7UAPHU, University of Virginia Dataverse, V1
This repository contains the dataset and code for the manuscript: Zimmet AM, Sullivan BA, Fairchild KD, Moorman JR, Isler JR, Wallman-Stokes AW, Sahni R, Vesoulis ZA, Ratcliffe SJ, & Lake DE. Vital Sign Metrics of VLBW Infants in Three NICUs: Implications for Predictive Algorithms. Pediatric Research 2021. https://doi.org/10.1038/s41390-021-01428-3...
Mar 31, 2021 - School of Medicine
Niestroy, Justin; Levinson, Maxwell; Al Manir, Sadnan; Clark, Timothy; Fairchild, Karen; Lake, Doug; Moorman, Randall, 2021, "Evidence for: Discovery of signatures of fatal neonatal illness in vital signs using highly comparative time-series analysis", https://doi.org/10.18130/V3/HHTAYI, University of Virginia Dataverse, V1
Evidence graph supporting "Discovery of signatures of fatal neonatal illness in vital signs using highly comparative time-series analysis".
Mar 26, 2021 - Center for Advanced Medical Analytics (CAMA)
Niestroy, Justin; Levinson, Maxwell; Al Manir, Sadnan; Clark, Timothy; Fairchild, Karen; Lake, Doug; Moorman, Randall, 2021, "Replication Data for: Discovery of signatures of fatal neonatal illness in vital signs using highly comparative time-series analysis", https://doi.org/10.18130/V3/VJXODP, University of Virginia Dataverse, V2, UNF:6:GqW9E/3oO1FhDufqdm3q5w== [fileUNF]
Replication Data for: Discovery of signatures of fatal neonatal illness in vital signs using highly comparative time-series analysis
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