EXC 2075 Project Networks

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Publication Year: 2023

2,141 to 2,150 of 2,160 Results

Randomstate_80_Out.tab Jan 17, 2023 - Simulation Data from Motorcycle Sensors in Operational and Crash Scenarios Tabular Data - 3.8 MB - 66 Variables, 3901 Observations - UNF:6:eLpR45KrvItI+ysUGiEXdA== Data
Randomstate_90_Out.tab Jan 17, 2023 - Simulation Data from Motorcycle Sensors in Operational and Crash Scenarios Tabular Data - 3.8 MB - 66 Variables, 3901 Observations - UNF:6:L4xuwWak88xNtbRSWiW7aQ== Data
README.md Jan 17, 2023 - Simulation Data from Motorcycle Sensors in Operational and Crash Scenarios Markdown Text - 1.8 KB - MD5: cd0f7e2613e482ee142ff6a2ec32f628 Documentation
requirements.txt Jan 17, 2023 - Simulation Data from Motorcycle Sensors in Operational and Crash Scenarios Plain Text - 13 B - MD5: 1d2a079d610f8ec35da9af81527049d9 Documentation
ReverseCurbstone_5_Out.tab Jan 17, 2023 - Simulation Data from Motorcycle Sensors in Operational and Crash Scenarios Tabular Data - 3.8 MB - 66 Variables, 3901 Observations - UNF:6:uq91RKWg4fDfvG9TqWW6YQ== Data
Speedbump_5_Out.tab Jan 17, 2023 - Simulation Data from Motorcycle Sensors in Operational and Crash Scenarios Tabular Data - 3.8 MB - 66 Variables, 3901 Observations - UNF:6:Sk+xA42f33HBA7XHhDk4mg== Data
testData.tab Jan 17, 2023 - Simulation Data from Motorcycle Sensors in Operational and Crash Scenarios Tabular Data - 59.0 MB - 66 Variables, 60520 Observations - UNF:6:1HPoAEcon31ZNFCMl2XPcA== Data
trainingData.tab Jan 17, 2023 - Simulation Data from Motorcycle Sensors in Operational and Crash Scenarios Tabular Data - 440.0 MB - 66 Variables, 451286 Observations - UNF:6:mvb2uMSyLvCaGYzxXdCSfQ== Data
Al_fcc_LDA.tar.gz Jan 11, 2023 - Data for: High-accuracy thermodynamic properties to the melting point from ab initio calculations aided by machine-learning potentials Gzip Archive - 66.7 MB - MD5: 96d9e0e99ff31894f8edf7d35aeec759 The training sets (VASP files), the low moment-tensor-potentials (MTPs) and high-MTPs, and the effective quasiharmonic (QH) potentials for fcc Al using the LDA functional.
Al_fcc_PBE.tar.gz Jan 11, 2023 - Data for: High-accuracy thermodynamic properties to the melting point from ab initio calculations aided by machine-learning potentials Gzip Archive - 63.9 MB - MD5: d81a43c176663737adeedebfa9a4fddf The training sets (VASP files), the low moment-tensor-potentials (MTPs) and high-MTPs, and the effective quasiharmonic (QH) potentials for fcc Al using the PBE functional.

Randomstate_80_Out.tab

Jan 17, 2023 - Simulation Data from Motorcycle Sensors in Operational and Crash Scenarios

Tabular Data - 3.8 MB - 66 Variables, 3901 Observations -

Data

Randomstate_90_Out.tab

Jan 17, 2023 - Simulation Data from Motorcycle Sensors in Operational and Crash Scenarios

Tabular Data - 3.8 MB - 66 Variables, 3901 Observations -

Data

README.md

Jan 17, 2023 - Simulation Data from Motorcycle Sensors in Operational and Crash Scenarios

Markdown Text - 1.8 KB -

Documentation

requirements.txt

Jan 17, 2023 - Simulation Data from Motorcycle Sensors in Operational and Crash Scenarios

Plain Text - 13 B -

Documentation

ReverseCurbstone_5_Out.tab

Jan 17, 2023 - Simulation Data from Motorcycle Sensors in Operational and Crash Scenarios

Tabular Data - 3.8 MB - 66 Variables, 3901 Observations -

Data

Speedbump_5_Out.tab

Jan 17, 2023 - Simulation Data from Motorcycle Sensors in Operational and Crash Scenarios

Tabular Data - 3.8 MB - 66 Variables, 3901 Observations -

Data

testData.tab

Jan 17, 2023 - Simulation Data from Motorcycle Sensors in Operational and Crash Scenarios

Tabular Data - 59.0 MB - 66 Variables, 60520 Observations -

Data

trainingData.tab

Jan 17, 2023 - Simulation Data from Motorcycle Sensors in Operational and Crash Scenarios

Tabular Data - 440.0 MB - 66 Variables, 451286 Observations -

Data

Al_fcc_LDA.tar.gz

Jan 11, 2023 - Data for: High-accuracy thermodynamic properties to the melting point from ab initio calculations aided by machine-learning potentials

Gzip Archive - 66.7 MB -

The training sets (VASP files), the low moment-tensor-potentials (MTPs) and high-MTPs, and the effective quasiharmonic (QH) potentials for fcc Al using the LDA functional.

Al_fcc_PBE.tar.gz

Jan 11, 2023 - Data for: High-accuracy thermodynamic properties to the melting point from ab initio calculations aided by machine-learning potentials

Gzip Archive - 63.9 MB -

The training sets (VASP files), the low moment-tensor-potentials (MTPs) and high-MTPs, and the effective quasiharmonic (QH) potentials for fcc Al using the PBE functional.

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