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65 research outputs found
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NACR1.0 Surface Daily Gridded PM2.5 and Chemical Composition Concentrations
No full textThese files contain surface concentration of PM2.5 (particulate matter smaller than 2.5 micrometers) at 12km spatial resolution and 24-hour temporal resolution. The data are generated as part of the North America Chemical Reanalysis (NACR) project by George Mason University (GMU) Center for Satellite and Earth System Research (CSER)
Replication Data for: Detection of fractional quantum Hall states by entropy-sensitive measurements
No full textSource data for the figures in main text and supplementary information are provided here
Weather Station Data - Cherry Blossom Project
No full textOutdoor Temperature(°C) Outdoor Humidity(%) Dew Point(°C) Feels Like (°C) Wind(km/h) Gust(km/h) Wind Direction(°) ABS Pressure(hPa) REL Pressure(hPa) Solar Rad.(w/m2) UVI Hourly Rain(mm) Event Rain(mm) Daily Rain(mm) Weekly Rain(mm) Monthly Rain(mm) Yearly Rain(mm
Building Data - Peterson Family Health
No full textSpreadsheets on utilities consumption in Peterson Peterson Family Health on the Fairfax campus of George Mason University. The data are available for classroom and research purposes, provided by the Facilities and Office of Sustainability
A predictive machine learning model for cannabinoid effect based on image detection of reactive oxygen species in microglia
No full textCode used in support of paper "A predictive machine learning model for cannabinoid effect based on image detection of reactive oxygen species in microglia
Replication Data for: Adapting super-resolution reconstruction for skeletal analysis of clinical computed tomography data
No full text3D model files supporting the findings of "Adapting super-resolution reconstruction for skeletal analysis of clinical computed tomography data." This study evaluates the utility of an automated super-resolution reconstruction (SRR) framework in generating high-resolution skeletal models from multiple orthogonal thick-slice CT stacks. Archived CT scans of long bones from 33 individuals (aged 0 to 16 years) were retrospectively collected from the National Taiwan University Hospital. Two sets of models were generated per bone: one derived from the original low-resolution, thick-slice CT image stacks (“pre”), and one from the reconstructed high-resolution volumes produced using the NiftyMIC pipeline (“post”)
Replication Data for: Thermopower probe of fractional quantum Hall states in monolayer graphene
No full textSource data are provide
Replication Data for: Electron transport in bilayer graphene nano constrictions patterned using AFM nanolithography
No full textSource data for the figures in main text and supplementary information are provided here
Unequal Waters: Flood Risk and Indigenous Coping Capacity in Coastal Virginia
No full textHere we investigate coping capacity of indigenous communities in Coastal Virginia by creating a Coping Capacity Index. Indigenous communities, including those along the East Coast of the United States, face increased vulnerability to flooding due to a combination of socio-economic, environmental, and historical factors. These findings provide insights towards implementing both larger policy solutions and local community-based flood hazard mitigation strategies to improve resiliency in coastal Virginia, while simultaneously establishing a structure for similar assessments in other regions
Verti-Bench: A general and scalable off-road mobility benchmark for vertically challenging terrain
No full textVerti-Bench, a general and scalable off-road mobility benchmark that focuses on extremely rugged, vertically challenging terrain with a variety of unstructured off-road features. The main goal of Verti-Bench is to directly compare the performances of different off-road mobility systems. Based on a high-fidelity multi-physics dynamics simulator, Chrono, Verti-Bench encapsulates variations in four orthogonal dimensions: elevation, semantics, vehicle scalability and obstacles. This dataset is trajectories by a sinusoidal steering and speed command for each world without obstacles. All we have 100 worlds and each world has 10 tasks