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PHASED study archive | Tax Foundation | Property_taxes.csv
October, 2026 • Dataset
Gazar, Amir M., Jackson, Chloe, Mavrommati, Georgia, Howarth, Rich B., Calder, Ryan S.D.
Original file used in the PHASED study, Correlated uncertainty propagation enables multi-impact decision support for electrical system decarbonization.File: Property_taxes.csv. Source group: Tax Found…
Original file used in the PHASED study, Correlated uncertainty propagation enables multi-impact decision support for electrical system decarbonization.File: Property_taxes.csv. Source group: Tax Foundation.Study file location: 4 External Data/Tax Foundation/Property_taxes.csv.This record preserves the original file. Credits and reuse conditions of the original data provider remain applicable. No newly generated webpage figures or summary tables are included.Study manuscript: Correlated uncertainty propagation enables multi-impact decision support for electrical system decarbonization. The five listed authors are the study authors and compilers of this study archive. Original external data remain credited to their providers.Source credit: Tax Foundation. County property taxes, 2023 data.Reuse: Tax Foundation material is CC BY-NC 4.0 unless otherwise marked. Retain attribution; commercial reuse requires permission.Source or terms: https://taxfoundation.org/copyright-notice.Corresponding study author: Ryan S.D. Calder (rsdc@vt.edu).This file is made publicly available for study reproducibility. Any reuse must comply with the original provider's citation, attribution, license and other source requirements. Cite the original source as well as this archived copy. The study authors do not claim authorship of the underlying external source data or grant rights beyond those held by the source provider.
PHASED study archive | ORNL LandScan | vi_day_metadata.xml
October, 2026 • Other
Gazar, Amir M., Jackson, Chloe, Mavrommati, Georgia, Howarth, Rich B., Calder, Ryan S.D.
Original file used in the PHASED study, Correlated uncertainty propagation enables multi-impact decision support for electrical system decarbonization.File: vi_day_metadata.xml. Source group: ORNL Lan…
Original file used in the PHASED study, Correlated uncertainty propagation enables multi-impact decision support for electrical system decarbonization.File: vi_day_metadata.xml. Source group: ORNL LandScan.Study file location: 4 External Data/ORNL LandScan/vi_day_metadata.xml.This record preserves the original file. Credits and reuse conditions of the original data provider remain applicable. No newly generated webpage figures or summary tables are included.Study manuscript: Correlated uncertainty propagation enables multi-impact decision support for electrical system decarbonization. The five listed authors are the study authors and compilers of this study archive. Original external data remain credited to their providers.Source credit: Weber, Eric; Moehl, Jessica; Weston, Spencer; Rose, Amy; Brelsford, Christa; Hauser, Taylor. Oak Ridge National Laboratory. LandScan USA 2021 (2022).Reuse: LandScan USA 2021: CC BY 4.0, as documented by the LandScan catalog. Source DOI 10.48690/1527701.Source or terms: https://geo.btaa.org/catalog/88-0001_us_2021.Corresponding study author: Ryan S.D. Calder (rsdc@vt.edu).This file is made publicly available for study reproducibility. Any reuse must comply with the original provider's citation, attribution, license and other source requirements. Cite the original source as well as this archived copy. The study authors do not claim authorship of the underlying external source data or grant rights beyond those held by the source provider.
PHASED study archive | ORNL LandScan | readme_usa_colorized.txt
October, 2026 • Other
Gazar, Amir M., Jackson, Chloe, Mavrommati, Georgia, Howarth, Rich B., Calder, Ryan S.D.
Original file used in the PHASED study, Correlated uncertainty propagation enables multi-impact decision support for electrical system decarbonization.File: readme_usa_colorized.txt. Source group: ORN…
Original file used in the PHASED study, Correlated uncertainty propagation enables multi-impact decision support for electrical system decarbonization.File: readme_usa_colorized.txt. Source group: ORNL LandScan.Study file location: 4 External Data/ORNL LandScan/readme_usa_colorized.txt.This record preserves the original file. Credits and reuse conditions of the original data provider remain applicable. No newly generated webpage figures or summary tables are included.Study manuscript: Correlated uncertainty propagation enables multi-impact decision support for electrical system decarbonization. The five listed authors are the study authors and compilers of this study archive. Original external data remain credited to their providers.Source credit: Weber, Eric; Moehl, Jessica; Weston, Spencer; Rose, Amy; Brelsford, Christa; Hauser, Taylor. Oak Ridge National Laboratory. LandScan USA 2021 (2022).Reuse: LandScan USA 2021: CC BY 4.0, as documented by the LandScan catalog. Source DOI 10.48690/1527701.Source or terms: https://geo.btaa.org/catalog/88-0001_us_2021.Corresponding study author: Ryan S.D. Calder (rsdc@vt.edu).This file is made publicly available for study reproducibility. Any reuse must comply with the original provider's citation, attribution, license and other source requirements. Cite the original source as well as this archived copy. The study authors do not claim authorship of the underlying external source data or grant rights beyond those held by the source provider.
PHASED study archive | ORNL LandScan | pr_day_metadata.xml
October, 2026 • Other
Gazar, Amir M., Jackson, Chloe, Mavrommati, Georgia, Howarth, Rich B., Calder, Ryan S.D.
Original file used in the PHASED study, Correlated uncertainty propagation enables multi-impact decision support for electrical system decarbonization.File: pr_day_metadata.xml. Source group: ORNL Lan…
Original file used in the PHASED study, Correlated uncertainty propagation enables multi-impact decision support for electrical system decarbonization.File: pr_day_metadata.xml. Source group: ORNL LandScan.Study file location: 4 External Data/ORNL LandScan/pr_day_metadata.xml.This record preserves the original file. Credits and reuse conditions of the original data provider remain applicable. No newly generated webpage figures or summary tables are included.Study manuscript: Correlated uncertainty propagation enables multi-impact decision support for electrical system decarbonization. The five listed authors are the study authors and compilers of this study archive. Original external data remain credited to their providers.Source credit: Weber, Eric; Moehl, Jessica; Weston, Spencer; Rose, Amy; Brelsford, Christa; Hauser, Taylor. Oak Ridge National Laboratory. LandScan USA 2021 (2022).Reuse: LandScan USA 2021: CC BY 4.0, as documented by the LandScan catalog. Source DOI 10.48690/1527701.Source or terms: https://geo.btaa.org/catalog/88-0001_us_2021.Corresponding study author: Ryan S.D. Calder (rsdc@vt.edu).This file is made publicly available for study reproducibility. Any reuse must comply with the original provider's citation, attribution, license and other source requirements. Cite the original source as well as this archived copy. The study authors do not claim authorship of the underlying external source data or grant rights beyond those held by the source provider.
PHASED study archive | ORNL LandScan | mp_day_metadata.xml
October, 2026 • Other
Gazar, Amir M., Jackson, Chloe, Mavrommati, Georgia, Howarth, Rich B., Calder, Ryan S.D.
Original file used in the PHASED study, Correlated uncertainty propagation enables multi-impact decision support for electrical system decarbonization.File: mp_day_metadata.xml. Source group: ORNL Lan…
Original file used in the PHASED study, Correlated uncertainty propagation enables multi-impact decision support for electrical system decarbonization.File: mp_day_metadata.xml. Source group: ORNL LandScan.Study file location: 4 External Data/ORNL LandScan/mp_day_metadata.xml.This record preserves the original file. Credits and reuse conditions of the original data provider remain applicable. No newly generated webpage figures or summary tables are included.Study manuscript: Correlated uncertainty propagation enables multi-impact decision support for electrical system decarbonization. The five listed authors are the study authors and compilers of this study archive. Original external data remain credited to their providers.Source credit: Weber, Eric; Moehl, Jessica; Weston, Spencer; Rose, Amy; Brelsford, Christa; Hauser, Taylor. Oak Ridge National Laboratory. LandScan USA 2021 (2022).Reuse: LandScan USA 2021: CC BY 4.0, as documented by the LandScan catalog. Source DOI 10.48690/1527701.Source or terms: https://geo.btaa.org/catalog/88-0001_us_2021.Corresponding study author: Ryan S.D. Calder (rsdc@vt.edu).This file is made publicly available for study reproducibility. Any reuse must comply with the original provider's citation, attribution, license and other source requirements. Cite the original source as well as this archived copy. The study authors do not claim authorship of the underlying external source data or grant rights beyond those held by the source provider.
PHASED study archive | ORNL LandScan | lsusa_2021.ris
October, 2026 • Other
Gazar, Amir M., Jackson, Chloe, Mavrommati, Georgia, Howarth, Rich B., Calder, Ryan S.D.
Original file used in the PHASED study, Correlated uncertainty propagation enables multi-impact decision support for electrical system decarbonization.File: lsusa_2021.ris. Source group: ORNL LandScan…
Original file used in the PHASED study, Correlated uncertainty propagation enables multi-impact decision support for electrical system decarbonization.File: lsusa_2021.ris. Source group: ORNL LandScan.Study file location: 4 External Data/ORNL LandScan/lsusa_2021.ris.This record preserves the original file. Credits and reuse conditions of the original data provider remain applicable. No newly generated webpage figures or summary tables are included.Study manuscript: Correlated uncertainty propagation enables multi-impact decision support for electrical system decarbonization. The five listed authors are the study authors and compilers of this study archive. Original external data remain credited to their providers.Source credit: Weber, Eric; Moehl, Jessica; Weston, Spencer; Rose, Amy; Brelsford, Christa; Hauser, Taylor. Oak Ridge National Laboratory. LandScan USA 2021 (2022).Reuse: LandScan USA 2021: CC BY 4.0, as documented by the LandScan catalog. Source DOI 10.48690/1527701.Source or terms: https://geo.btaa.org/catalog/88-0001_us_2021.Corresponding study author: Ryan S.D. Calder (rsdc@vt.edu).This file is made publicly available for study reproducibility. Any reuse must comply with the original provider's citation, attribution, license and other source requirements. Cite the original source as well as this archived copy. The study authors do not claim authorship of the underlying external source data or grant rights beyond those held by the source provider.
PHASED study archive | ORNL LandScan | landscan-usa-2021-vi-day-colorized.tif
October, 2026 • Dataset
Gazar, Amir M., Jackson, Chloe, Mavrommati, Georgia, Howarth, Rich B., Calder, Ryan S.D.
Original file used in the PHASED study, Correlated uncertainty propagation enables multi-impact decision support for electrical system decarbonization.File: landscan-usa-2021-vi-day-colorized.tif. Sou…
Original file used in the PHASED study, Correlated uncertainty propagation enables multi-impact decision support for electrical system decarbonization.File: landscan-usa-2021-vi-day-colorized.tif. Source group: ORNL LandScan.Study file location: 4 External Data/ORNL LandScan/landscan-usa-2021-day-colorized/landscan-usa-2021-vi-day-colorized.tif.This record preserves the original file. Credits and reuse conditions of the original data provider remain applicable. No newly generated webpage figures or summary tables are included.Study manuscript: Correlated uncertainty propagation enables multi-impact decision support for electrical system decarbonization. The five listed authors are the study authors and compilers of this study archive. Original external data remain credited to their providers.Source credit: Weber, Eric; Moehl, Jessica; Weston, Spencer; Rose, Amy; Brelsford, Christa; Hauser, Taylor. Oak Ridge National Laboratory. LandScan USA 2021 (2022).Reuse: LandScan USA 2021: CC BY 4.0, as documented by the LandScan catalog. Source DOI 10.48690/1527701.Source or terms: https://geo.btaa.org/catalog/88-0001_us_2021.Corresponding study author: Ryan S.D. Calder (rsdc@vt.edu).This file is made publicly available for study reproducibility. Any reuse must comply with the original provider's citation, attribution, license and other source requirements. Cite the original source as well as this archived copy. The study authors do not claim authorship of the underlying external source data or grant rights beyond those held by the source provider.
PHASED study archive | ORNL LandScan | landscan-usa-2021-pr-day-colorized.tif
October, 2026 • Dataset
Gazar, Amir M., Jackson, Chloe, Mavrommati, Georgia, Howarth, Rich B., Calder, Ryan S.D.
Original file used in the PHASED study, Correlated uncertainty propagation enables multi-impact decision support for electrical system decarbonization.File: landscan-usa-2021-pr-day-colorized.tif. Sou…
Original file used in the PHASED study, Correlated uncertainty propagation enables multi-impact decision support for electrical system decarbonization.File: landscan-usa-2021-pr-day-colorized.tif. Source group: ORNL LandScan.Study file location: 4 External Data/ORNL LandScan/landscan-usa-2021-day-colorized/landscan-usa-2021-pr-day-colorized.tif.This record preserves the original file. Credits and reuse conditions of the original data provider remain applicable. No newly generated webpage figures or summary tables are included.Study manuscript: Correlated uncertainty propagation enables multi-impact decision support for electrical system decarbonization. The five listed authors are the study authors and compilers of this study archive. Original external data remain credited to their providers.Source credit: Weber, Eric; Moehl, Jessica; Weston, Spencer; Rose, Amy; Brelsford, Christa; Hauser, Taylor. Oak Ridge National Laboratory. LandScan USA 2021 (2022).Reuse: LandScan USA 2021: CC BY 4.0, as documented by the LandScan catalog. Source DOI 10.48690/1527701.Source or terms: https://geo.btaa.org/catalog/88-0001_us_2021.Corresponding study author: Ryan S.D. Calder (rsdc@vt.edu).This file is made publicly available for study reproducibility. Any reuse must comply with the original provider's citation, attribution, license and other source requirements. Cite the original source as well as this archived copy. The study authors do not claim authorship of the underlying external source data or grant rights beyond those held by the source provider.
PHASED study archive | ORNL LandScan | landscan-usa-2021-mp-day-colorized.tif
October, 2026 • Dataset
Gazar, Amir M., Jackson, Chloe, Mavrommati, Georgia, Howarth, Rich B., Calder, Ryan S.D.
Original file used in the PHASED study, Correlated uncertainty propagation enables multi-impact decision support for electrical system decarbonization.File: landscan-usa-2021-mp-day-colorized.tif. Sou…
Original file used in the PHASED study, Correlated uncertainty propagation enables multi-impact decision support for electrical system decarbonization.File: landscan-usa-2021-mp-day-colorized.tif. Source group: ORNL LandScan.Study file location: 4 External Data/ORNL LandScan/landscan-usa-2021-day-colorized/landscan-usa-2021-mp-day-colorized.tif.This record preserves the original file. Credits and reuse conditions of the original data provider remain applicable. No newly generated webpage figures or summary tables are included.Study manuscript: Correlated uncertainty propagation enables multi-impact decision support for electrical system decarbonization. The five listed authors are the study authors and compilers of this study archive. Original external data remain credited to their providers.Source credit: Weber, Eric; Moehl, Jessica; Weston, Spencer; Rose, Amy; Brelsford, Christa; Hauser, Taylor. Oak Ridge National Laboratory. LandScan USA 2021 (2022).Reuse: LandScan USA 2021: CC BY 4.0, as documented by the LandScan catalog. Source DOI 10.48690/1527701.Source or terms: https://geo.btaa.org/catalog/88-0001_us_2021.Corresponding study author: Ryan S.D. Calder (rsdc@vt.edu).This file is made publicly available for study reproducibility. Any reuse must comply with the original provider's citation, attribution, license and other source requirements. Cite the original source as well as this archived copy. The study authors do not claim authorship of the underlying external source data or grant rights beyond those held by the source provider.
There is an increasing interest in upgrading the EModel, a parametric tool for speech quality estimation, to the wideband and super-wideband contexts. The
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Undertaking engineering research can be compounding for beginning graduate students and thwarting even for seasoned researchers. With a wealth of academic
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