School of Engineering and Applied Science

Department of Computer Science

Department of Electrical and Computer Engineering

Department of Materials Science & Engineering

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1 to 10 of 25 Results

Developing Independent CYGNSS Soil Moisture Retrieval Algorithm with Mitigated Vegetation Effects: Incorporating a Two-Step and Relative SNR Approaches Mar 18, 2024 Zhu, Ziyue, 2024, "Developing Independent CYGNSS Soil Moisture Retrieval Algorithm with Mitigated Vegetation Effects: Incorporating a Two-Step and Relative SNR Approaches", https://doi.org/10.18130/V3/0XO5BI, University of Virginia Dataverse, V1, UNF:6:Ej0GjhuENf8A4AIz139fmg== [fileUNF] Developing Independent CYGNSS Soil Moisture Retrieval Algorithm with Mitigated Vegetation Effects: Incorporating a Two-Step and Relative SNR Approaches
HEvOD: Hurricane Evacuation Order Database Jan 21, 2024 Anand, Harsh; Alemazkoor, Negin; Shafiee-Jood, Majid, 2023, "HEvOD: Hurricane Evacuation Order Database", https://doi.org/10.18130/V3/ZGS4T4, University of Virginia Dataverse, V4 The Hurricane Evacuation Order Database (HEvOD) is a detailed collection of official evacuation orders issued in response to the hurricanes that impacted the United States between 2014-2022. It is compiled from a wide range of sources including official websites and social media...
CAESAR: An Embodied Simulator for Generating Multimodal Referring Expression Datasets Oct 9, 2022 Islam, Md Mofijul; Mirzaiee, Reza Manuel; Gladstone, Alexi; Green, Haley N; Iqbal, Tariq, 2022, "CAESAR: An Embodied Simulator for Generating Multimodal Referring Expression Datasets", https://doi.org/10.18130/V3/G1NW7F, University of Virginia Dataverse, V1 Humans naturally use verbal utterances and nonverbal gestures to refer to various objects (known as referring expressions) in different interactional scenarios. As collecting real human interaction datasets are costly and laborious, synthetic datasets are often used to train mode...
Model and Data for "Compressed air energy storage capacity of offshore saline aquifers using isothermal cycling" Aug 12, 2022 Bennett, Jeffrey A.; Clarens, Andres F., 2022, "Model and Data for "Compressed air energy storage capacity of offshore saline aquifers using isothermal cycling"", https://doi.org/10.18130/V3/SKAB9Z, University of Virginia Dataverse, V1 This dataset includes the model and data used in "Compressed air energy storage capacity of offshore saline aquifers using isothermal cycling" by Bennett et al. Details of how to use the data and code are provided in Instructions.txt
Lattice Parameters and CTE Tensor Components of Rare Earth Disilicates Apr 7, 2022 - Ihlefeld Research Group Salanova, Alejandro; Brummel, Ian A.; Yakovenko, Andrey A.; Opila, Beth J.; Ihlefeld, Jon F., 2022, "Lattice Parameters and CTE Tensor Components of Rare Earth Disilicates", https://doi.org/10.18130/V3/XI7QGF, University of Virginia Dataverse, V1, UNF:6:oAdZunzjXbudbcywGS+lxg== [fileUNF] This dataset contains analyzed X-Ray diffraction data collected at Argonne National Lab's Advanced Photon Source Beamline 11-ID-C. High temperature diffraction measurements from room temperature to 1000 degrees Celsius were sequentially refined using GSAS-II. The lattice paramete...
Thermal Energy Harvesting Profiles in Residential Settings 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,...
Model for "Life Cycle Meta-Analysis of Carbon Capture Pathways in Power Plants: Implications for Bioenergy with Carbon Capture and Storage" Sep 22, 2021 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.
Model and Data for "Techno-economic analysis of offshore isothermal compressed air energy storage in saline aquifers co-located with wind power" Aug 17, 2021 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
Model and data for "Extending energy system modelling to include extreme weather risks and application to hurricane events in Puerto Rico" Dec 21, 2020 Bennett, Jeffrey A.; DeCarolis, Joseph F.; Clarens, Andres F., 2020, "Model and data for "Extending energy system modelling to include extreme weather risks and application to hurricane events in Puerto Rico"", https://doi.org/10.18130/V3/QB0NPX, University of Virginia Dataverse, V1 This archive includes the model and data used to produce the publication "Extending energy system modelling to include extreme weather risks and application to hurricane events in Puerto Rico" by Bennett et al. The temoatools.zip file is an archived version of temoatools, the Pyt...
Shenandoah Valley Region household network database Oct 9, 2020 - Department of Computer Science Thorve, Swapna; Vullikanti, Anil; Swarup, Samarth; Marathe, Achla, 2020, "Shenandoah Valley Region household network database", https://doi.org/10.18130/V3/HDTHSN, University of Virginia Dataverse, V1 Shenandoah Valley Region (SVR) household neighborhood network database. The database contains 3 networks for the SVR region -- houses within 1 mile, 3 miles, 4 miles network.

Developing Independent CYGNSS Soil Moisture Retrieval Algorithm with Mitigated Vegetation Effects: Incorporating a Two-Step and Relative SNR Approaches

Mar 18, 2024

Zhu, Ziyue, 2024, "Developing Independent CYGNSS Soil Moisture Retrieval Algorithm with Mitigated Vegetation Effects: Incorporating a Two-Step and Relative SNR Approaches", https://doi.org/10.18130/V3/0XO5BI, University of Virginia Dataverse, V1, UNF:6:Ej0GjhuENf8A4AIz139fmg== [fileUNF]

Developing Independent CYGNSS Soil Moisture Retrieval Algorithm with Mitigated Vegetation Effects: Incorporating a Two-Step and Relative SNR Approaches

HEvOD: Hurricane Evacuation Order Database

Jan 21, 2024

Anand, Harsh; Alemazkoor, Negin; Shafiee-Jood, Majid, 2023, "HEvOD: Hurricane Evacuation Order Database", https://doi.org/10.18130/V3/ZGS4T4, University of Virginia Dataverse, V4

The Hurricane Evacuation Order Database (HEvOD) is a detailed collection of official evacuation orders issued in response to the hurricanes that impacted the United States between 2014-2022. It is compiled from a wide range of sources including official websites and social media...

CAESAR: An Embodied Simulator for Generating Multimodal Referring Expression Datasets

Oct 9, 2022

Islam, Md Mofijul; Mirzaiee, Reza Manuel; Gladstone, Alexi; Green, Haley N; Iqbal, Tariq, 2022, "CAESAR: An Embodied Simulator for Generating Multimodal Referring Expression Datasets", https://doi.org/10.18130/V3/G1NW7F, University of Virginia Dataverse, V1

Humans naturally use verbal utterances and nonverbal gestures to refer to various objects (known as referring expressions) in different interactional scenarios. As collecting real human interaction datasets are costly and laborious, synthetic datasets are often used to train mode...

Model and Data for "Compressed air energy storage capacity of offshore saline aquifers using isothermal cycling"

Aug 12, 2022

Bennett, Jeffrey A.; Clarens, Andres F., 2022, "Model and Data for "Compressed air energy storage capacity of offshore saline aquifers using isothermal cycling"", https://doi.org/10.18130/V3/SKAB9Z, University of Virginia Dataverse, V1

This dataset includes the model and data used in "Compressed air energy storage capacity of offshore saline aquifers using isothermal cycling" by Bennett et al. Details of how to use the data and code are provided in Instructions.txt

Lattice Parameters and CTE Tensor Components of Rare Earth Disilicates

Apr 7, 2022 - Ihlefeld Research Group

Salanova, Alejandro; Brummel, Ian A.; Yakovenko, Andrey A.; Opila, Beth J.; Ihlefeld, Jon F., 2022, "Lattice Parameters and CTE Tensor Components of Rare Earth Disilicates", https://doi.org/10.18130/V3/XI7QGF, University of Virginia Dataverse, V1, UNF:6:oAdZunzjXbudbcywGS+lxg== [fileUNF]

This dataset contains analyzed X-Ray diffraction data collected at Argonne National Lab's Advanced Photon Source Beamline 11-ID-C. High temperature diffraction measurements from room temperature to 1000 degrees Celsius were sequentially refined using GSAS-II. The lattice paramete...

Thermal Energy Harvesting Profiles in Residential Settings

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,...

Model for "Life Cycle Meta-Analysis of Carbon Capture Pathways in Power Plants: Implications for Bioenergy with Carbon Capture and Storage"

Sep 22, 2021

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.

Model and Data for "Techno-economic analysis of offshore isothermal compressed air energy storage in saline aquifers co-located with wind power"

Aug 17, 2021

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

Model and data for "Extending energy system modelling to include extreme weather risks and application to hurricane events in Puerto Rico"

Dec 21, 2020

Bennett, Jeffrey A.; DeCarolis, Joseph F.; Clarens, Andres F., 2020, "Model and data for "Extending energy system modelling to include extreme weather risks and application to hurricane events in Puerto Rico"", https://doi.org/10.18130/V3/QB0NPX, University of Virginia Dataverse, V1

This archive includes the model and data used to produce the publication "Extending energy system modelling to include extreme weather risks and application to hurricane events in Puerto Rico" by Bennett et al. The temoatools.zip file is an archived version of temoatools, the Pyt...

Shenandoah Valley Region household network database

Oct 9, 2020 - Department of Computer Science

Thorve, Swapna; Vullikanti, Anil; Swarup, Samarth; Marathe, Achla, 2020, "Shenandoah Valley Region household network database", https://doi.org/10.18130/V3/HDTHSN, University of Virginia Dataverse, V1

Shenandoah Valley Region (SVR) household neighborhood network database. The database contains 3 networks for the SVR region -- houses within 1 mile, 3 miles, 4 miles network.

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