Digital Commons Network^™

Polarimetric Data: Scenario 07, Bradley M. Ratliff

Model Desert Terrain Monochromatic DoT Dataset

Polarimetric data Scenario 07 collected within the Automated Remote Sensing Solar Simulation Lab at the University of Dayton. The data were collected using a visible monochromatic division-of-time imaging polarimeter. The dataset is parameterized across different sensor, scene, and illumination geometries that mimic outdoor solar irradiance conditions.

Polarimetric Data: Scenario 01, Bradley M. Ratliff

Model Desert Terrain Monochromatic DoT Dataset

Polarimetric data Scenario 01 collected within the Automated Remote Sensing Solar Simulation Lab at the University of Dayton. The data were collected using a visible monochromatic division-of-time imaging polarimeter. The dataset is parameterized across different sensor, scene, and illumination geometries that mimic outdoor solar irradiance conditions.

Writing And Rhetoric, University Of Mississippi. Department Of Writing And Rhetoric

University Website Migration from WordPress

No abstract provided.

Project Discover, University Of Mississippi

University Website Migration from WordPress

Files from this site date from 1998.

Facilities Planning, University Of Mississippi. Department Of Facilities Planning

University Website Migration from WordPress

No abstract provided.

Museum Studies, University Of Mississippi

University Website Migration from WordPress

No abstract provided.

Laboratory And Data Preview Animations, Bradley M. Ratliff

Model Desert Terrain Monochromatic DoT Dataset

Contains video animations for each ARSSS laboratory experiment previews for each polarimetric data file in animated GIF format for the Model Desert Terrain Monochromatic DoT dataset.

Polarimetric Data: Scenario 04, Bradley M. Ratliff

Model Desert Terrain Monochromatic DoT Dataset

Polarimetric data Scenario 04 collected within the Automated Remote Sensing Solar Simulation Lab at the University of Dayton. The data were collected using a visible monochromatic division-of-time imaging polarimeter. The dataset is parameterized across different sensor, scene, and illumination geometries that mimic outdoor solar irradiance conditions.

Polarimetric Data: Scenario 08, Bradley M. Ratliff

Model Desert Terrain Monochromatic DoT Dataset

Polarimetric data Scenario 08 collected within the Automated Remote Sensing Solar Simulation Lab at the University of Dayton. The data were collected using a visible monochromatic division-of-time imaging polarimeter. The dataset is parameterized across different sensor, scene, and illumination geometries that mimic outdoor solar irradiance conditions.

Data Annotations, Bradley M. Ratliff

Model Parking Lot RGB DoFP Dataset

Pixel-wise object masks for each polarimetric scene in ASL file format for the Model Parking Lot RGB DoFP data.

Data Preview Animations, Bradley M. Ratliff

Model Parking Lot RGB DoFP Dataset

Contains video animations for each polarimetric data file in animated GIF format for the Model Parking Lot RGB DoFP dataset.

Polarimetric Data: Sparse Scenarios 05 - 08, Bradley M. Ratliff

Model Parking Lot RGB DoFP Dataset

Polarimetric data sparse configuation Scenarios S05 through S08 collected within the Automated Remote Sensing Solar Simulation Lab at the University of Dayton. The data were collected using a visible RGB division-of-focal-plane imaging polarimeter. The dataset is parameterized across different sensor, scene, and illumination geometries that mimic outdoor solar irradiance conditions.

Polarimetric Data: Sparse Scenarios 13 - 16, Bradley M. Ratliff

Model Parking Lot RGB DoFP Dataset

Polarimetric data sparse configuation Scenarios S13 through S16 collected within the Automated Remote Sensing Solar Simulation Lab at the University of Dayton. The data were collected using a visible RGB division-of-focal-plane imaging polarimeter. The dataset is parameterized across different sensor, scene, and illumination geometries that mimic outdoor solar irradiance conditions.

Utility Functions (Matlab), Bradley M. Ratliff

Source Code

This zip file contains various utility functions for working with polarimetric image data that are particularly useful for working with imaging polarimeter data produced by the Applied Sensing Lab.

Map Of The Thickness Of Ordovician Shales Across The Kentucky-Tennessee Mineral District (Ktmd), John B. Hickman, Alex M. Washburn, Georgina Lukoczki

Research Data--KGS

The deposits of critical minerals have been found in metalliferous shales. To aid in critical mineral assessments of the Ordovician Shales in the Kentucky-Tennessee Mineral District (KTMD), this research project produced a map (digital GIS dataset) of the thickness (isopach) of the combined Upper Ordovician shale interval across the region. The subsurface input data are from oil/gas well records and exploratory mineral core. Well and core records for the KTMD were acquired from the state surveys of Tennessee and Kentucky. Along with the GIS files, a summary table of the 594 well and core data points used to produce this …

Thickness Of Devonian Shale, Kentucky-Tennessee Mineral District (Ktmd), John B. Hickman, Alex M. Washburn, Georgina Lukoczki

Research Data--KGS

The deposits of critical minerals have been found in metalliferous shales. To aid in critical mineral assessments of the Devonian Shales in the Kentucky-Tennessee Mineral District (KTMD), this research project produced a map (digital GIS dataset) of the thickness (isopach) of the combined New Albany Shale/Chattanooga Shale/Ohio Shale interval across the region. The subsurface input data are from oil/gas well records and exploratory mineral core. Well and core records for the KTMD were acquired from the state surveys of Tennessee and Kentucky. Along with the GIS files, a summary table of the 6,607 well and core data points used to …

Structure On The Top Of Knox Group, Kentucky-Tennessee Mineral District (Ktmd), John B. Hickman

Research Data--KGS

The deposits of critical minerals within the Kentucky-Tennessee Mineral District (KTMD) are hosted within the Late Cambrian to Early Ordovician carbonate rocks of the Knox Group. To aid in critical mineral assessments of the region, this research project produced a map (digital GIS dataset) of the subsurface structure of the top of the Knox Group: the Knox Unconformity surface. All the input data is from oil/gas well records and exploratory mineral core records because these rocks are not exposed within the study area. Well and core records for the KTMD were acquired from the state surveys of Tennessee and Kentucky …

Polarimetric Data: Scenario 02, Bradley M. Ratliff

Model Desert Terrain Monochromatic DoT Dataset

Polarimetric data Scenario 02 collected within the Automated Remote Sensing Solar Simulation Lab at the University of Dayton. The data were collected using a visible monochromatic division-of-time imaging polarimeter. The dataset is parameterized across different sensor, scene, and illumination geometries that mimic outdoor solar irradiance conditions.

Polarimetric Data: Dense Scenarios 01 - 04, Bradley M. Ratliff

Model Parking Lot RGB DoFP Dataset

Polarimetric data dense configuation Scenarios D01 through D04 collected within the Automated Remote Sensing Solar Simulation Lab at the University of Dayton. The data were collected using a visible RGB division-of-focal-plane imaging polarimeter. The dataset is parameterized across different sensor, scene, and illumination geometries that mimic outdoor solar irradiance conditions.

Polarimetric Data: Sparse Scenarios 09 - 12, Bradley M. Ratliff

Model Parking Lot RGB DoFP Dataset

Polarimetric data sparse configuation Scenarios S09 through S12 collected within the Automated Remote Sensing Solar Simulation Lab at the University of Dayton. The data were collected using a visible RGB division-of-focal-plane imaging polarimeter. The dataset is parameterized across different sensor, scene, and illumination geometries that mimic outdoor solar irradiance conditions.

Cvsg In Chabad V. Russian Federation: Another Question Of Foreign State Immunity, Ingrid Wuerth Brunk

Vanderbilt Law School Faculty Publications

On June 2, 2025, the Supreme Court called for the views of the Solicitor General (“CVSG”) in Chabad v. Russian Federation. In Chabad’s petition for certiorari, the question presented is whether the Foreign Sovereign Immunities Act (FSIA)’s expropriation exception applies to a foreign state if the expropriated property—or property exchanged for it— is located outside of the United States and is owned or operated by an agency or instrumentality of the foreign state that is engaged in commercial activity in the United States. The D.C. Circuit answered no. It held that for a foreign state itself (as opposed to …

A New Exceptionally Preserved Phosphatocopid Crustacean From The Furongian Of Laurentia And A Synthesis Of Cambrian Phosphatocopid Distribution Patterns, Rhicert Reynolds, Thomas Wong-Hearing, Mark Williams, Thomas Harvey, Ayari Yanagihara, Duncan Murdock, Repetski John, James Loch, Daniel Lunt, Neil Gostling

Faculty of Science and Engineering Datasets

CT scan TIFF Files and STL files of Planamandibulus nevadensis (Arthropoda:Phosphatocopidia). Cambrian Arthropod.

Covid-19 Vaccine Attitudes And Behaviors Among Pregnant Women In Nairobi, Kenya With Diverse Socio-Economic And Educational Backgrounds, Jessica Schue, Ferdinand Okwaro, Ingrid Gichere, Daizy Cherono, Mandeep Sura, Emily Miller, Berhaun Fesshaye, Prachi Singh, Grace Belayneh Belayneh, Rupali Limaye, Marleen Temmerman

Centre of Excellence in Women and Child Health

Introduction

Methods

Data Annotations, Bradley M. Ratliff

Model Desert Terrain Monochromatic DoT Dataset

Pixel-wise object masks for each polarimetric scene in ASL file format for the Model Desert Terrain Monochromatic DoT data.

Polarimetric Data: Scenario 06, Bradley M. Ratliff

Model Desert Terrain Monochromatic DoT Dataset

Polarimetric data Scenario 06 collected within the Automated Remote Sensing Solar Simulation Lab at the University of Dayton. The data were collected using a visible monochromatic division-of-time imaging polarimeter. The dataset is parameterized across different sensor, scene, and illumination geometries that mimic outdoor solar irradiance conditions.

Polarimetric Data: Moderate Scenarios 05 - 08, Bradley M. Ratliff

Model Parking Lot RGB DoFP Dataset

Polarimetric data moderate configuation Scenarios M05 through M08 collected within the Automated Remote Sensing Solar Simulation Lab at the University of Dayton. The data were collected using a visible RGB division-of-focal-plane imaging polarimeter. The dataset is parameterized across different sensor, scene, and illumination geometries that mimic outdoor solar irradiance conditions.

Polarimetric Data: Scenario 05, Bradley M. Ratliff

Model Desert Terrain Monochromatic DoT Dataset

Polarimetric data Scenario 05 collected within the Automated Remote Sensing Solar Simulation Lab at the University of Dayton. The data were collected using a visible monochromatic division-of-time imaging polarimeter. The dataset is parameterized across different sensor, scene, and illumination geometries that mimic outdoor solar irradiance conditions.

Polarimetric Data: Scenario 03, Bradley M. Ratliff

Model Desert Terrain Monochromatic DoT Dataset

Polarimetric data Scenario 03 collected within the Automated Remote Sensing Solar Simulation Lab at the University of Dayton. The data were collected using a visible monochromatic division-of-time imaging polarimeter. The dataset is parameterized across different sensor, scene, and illumination geometries that mimic outdoor solar irradiance conditions.

Arise @ Um Program, University Of Mississippi

University Website Migration from WordPress

ARISE: A Research Immersive STEM Experience at the University of Mississippi ARISE@UM is a multi-pronged and multi-phased initiative aimed at improving STEM education and the pipeline of students pursuing STEM degrees in Mississippi. Our first prong and current phase of focus is devoted to providing nurturing research experiences (typically in the summer) for high school students and community college students, as well as their teachers on a case-by-case basis (teachers should email us).

Mississippi College Corps, University Of Mississippi. Center For Excellence In Literacy Instruction

University Website Migration from WordPress

No abstract provided.