Datasets

type: dataset date: 2021

Total is 134 Results
Connected and Automated Vehicle Based Intersection Maneuver Assist Systems (CAVIMAS) - Reduced Eye-tracking Data + Survey Data

10.4231/6AKB-M964

Anuj K. Pradhan, 0000-0002-7612-4208

04/02/2021

Driving simulator data from study designed to evaluate a conceptual Connected and Automated Vehicle based Intersection Maneuver Assist Systems (CAVIMAS) aimed at assisting drivers with intersection maneuvers.

ccat connected vehicles driving simulation Eye tracking

K2 18650 Vent Cap CT Scans

10.4231/5KKV-1998

Jason K Ostanek, 0000-0002-7724-3110, Kyle Crompton, Kyle Stoll, Weisi Li

05/27/2021

This dataset includes computed tomography (CT) scans of the positive terminal assembly from a commercial lithium-ion battery (model: K2 18650E).

Battery Safety CID Engineering Technology Li-ion Battery Vent Cap Venting

LG M36 Vent Cap CT Scans

10.4231/WCFR-9M25

Jason K Ostanek, 0000-0002-7724-3110, Kyle Crompton, Kyle Stoll, Weisi Li

05/27/2021

This dataset includes computed tomography (CT) scans of the positive terminal assembly from a commercial lithium-ion battery (model: LG INR18650 M36).

Battery Safety CID Engineering Technology Li-ion Battery Vent Cap Venting

Ingwell et al data for high tunnel bee study 2018

10.4231/86ZT-Y828

Ian Kaplan, 0000-0003-4469-2750

04/19/2021

These data indicate that both insecticides and non-crop forage play integral roles in shaping pollinator health in agricultural landscapes, but the relative importance and interaction of these two factors depend on which aspect of “health” are...

Entomology pesticides pollinators

Regulation of Phaeodactylum plastid gene transcription

10.4231/ME5R-C919

Gilbert Kayanja, Iskander Ibrahim, Sujith Puthiyaveetil, 0000-0001-7505-4511

05/19/2021

This dataset contains raw data used for plotting the figures associated with the following publication https://link.springer.com/article/10.1007/s11120-020-00811-1

Biochemistry Gene Regulation light harvesting photosynthesis

Uncertainty quantification in density estimation from background oriented schlieren (BOS) measurements

10.4231/D2FC-N191

Jiacheng Zhang, 0000-0002-9027-6531, Lalit Rajendran, 0000-0002-5673-6063, Pavlos Vlachos, 0000-0002-8040-9257, Sally P M Bane, Sayantan Bhattacharya

05/18/2021

We present an uncertainty quantification methodology for density estimation from background-oriented Schlieren (BOS) measurements, in order to provide local, instantaneous, a posteriori uncertainty bounds on each density measurement in the field...

Aeronautics and Astronautics Engineering background oriented schlieren Numerical Analysis Python uncertainty quantification

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