Datasets

Subject
Creator
Type
Date

subject: Modeling

Total is 12 Results
Daedalus

10.4231/R7736NV6

Austin Klasa, Courtney Falk

07/30/2015

Public cloud risk assessment tool.

Computer Science Information Security Java Modeling Public cloud providers Risk assessment software Source Code

Daedalus

10.4231/R7SX6B5R

Austin J. Klasa, Courtney Falk

08/19/2015

Public cloud risk assessment tool.

Computer Science Information Security Java Modeling Public cloud providers Risk assessment software Source Code

Global Methane Fluxes from Wetland using Mechanistically-based Biogeochemistry Model

10.4231/W1M6-4651

Licheng Liu, 0000-0002-9649-1056, Qianlai Zhuang, 0000-0002-4536-9851

08/22/2019

Methane flux output from Terrestrial Ecosystem Model and Methane Dynamics Model (TEM-MDM) and data used in visualization.

Biogeochemical Earth and Atmospheric Sciences Interactive Data Language (IDL) Methane Dynamics Model (MDM) Methane Emission Modeling Seasonal Wetlands Terrestrial Ecosystem Model (TEM)

Arequipa Climate Maps - Yearly, Monthly and Daily

10.4231/Y00Z-N127

Andre Geraldo Moraes, Carlos Zeballos Velarde, 0000-0002-9483-6962, Keith A Cherkauer, 0000-0002-6938-5303, Laura C Bowling, 0000-0002-1439-3154

05/29/2020

Arequipa Climate Maps – Yearly, Monthly and Daily (ACM-YMD), contains 30 years (1988-2017) of annual, monthly and daily gridded climate maps based on daily precipitation, and maximum and minimum air temperature for the Arequipa Department in Peru.

Agricultural and Biological Engineering Arequipa Arequipa Nexus Institute Climate Dynamics Climate Variability Climatology Geospatial Modeling Peru Precipitation Regression kriging Spatial Analysis Spatial modeling Temperature

Three Dynamical Evolution Regimes for Coupled Ring-Satellite Systems and Implications for the Formation of the Uranian Satellite Miranda

10.4231/R7DR2SP6

Andrew Hesselbrock, 0000-0002-6496-4314, David Minton, 0000-0003-1656-9704

05/01/2018

Coupled ring-satellite systems fall into three distinct dynamical regimes, “Boomerang,” “Non-Boomerang,” and “Torque-Dependent.” This publication includes data to reproduce figures as well as the version of RING-MOONS used to produce all data.

EAPS Modeling Planetary Science Python Code

Arequipa Climate Maps – Normals

10.4231/490D-HC66

Andre Geraldo de Lima Moraes, 0000-0001-7500-7360, Carlos Renzo Zeballos Velarde, 0000-0002-9483-6962, Keith A Cherkauer, 0000-0002-6938-5303, Laura C Bowling, 0000-0002-1439-3154

12/20/2019

Arequipa Climate Maps – Normals, is a dataset containing 30-year averages of annual and monthly climatology derived from observations of daily air temperature, and precipitation for the Arequipa department in Peru.

Agricultural and Biological Engineering Arequipa Arequipa Nexus Institute Climate Dynamics Climate Variability Climatology Geospatial Maps Mesoscale Meteorology Modeling Peru Precipitation Prediction Spatial Analysis Temperature

Arequipa Climate Maps - Yearly, Monthly and Daily

10.4231/QCN0-BB65

Andre Geraldo Moraes, Carlos Zeballos Velarde, 0000-0002-9483-6962, Keith A Cherkauer, 0000-0002-6938-5303, Laura C Bowling, 0000-0002-1439-3154

09/09/2021

Arequipa Climate Maps – Yearly, Monthly and Daily (ACM-YMD), contains 30 years (1988-2017) of annual, monthly and daily gridded climate maps based on daily precipitation, and maximum and minimum air temperature for the Arequipa Department in Peru.

Agricultural and Biological Engineering Arequipa Arequipa Nexus Institute Climate Dynamics Climate Variability Climatology Geospatial Maps Mesoscale Meteorology Modeling Peru Precipitation Spatial Analysis Temperature

Arequipa Climate Maps – Normals

10.4231/JNBK-ZK34

Andre Geraldo de Lima Moraes, 0000-0001-7500-7360, Carlos Renzo Zeballos Velarde, 0000-0002-9483-6962, Keith A Cherkauer, 0000-0002-6938-5303, Laura C Bowling, 0000-0002-1439-3154

09/09/2021

Arequipa Climate Maps – Normals, is a dataset containing 30-year averages of annual and monthly climatology derived from observations of daily air temperature, and precipitation for the Arequipa department in Peru.

Agricultural and Biological Engineering Arequipa Arequipa Nexus Institute Climate Dynamics Climate Variability Climatology Geospatial Maps Mesoscale Meteorology Modeling Peru Precipitation Spatial Analysis Temperature

Reliable Vehicle to Vehicle Communication Networks: Applications in Fuel-Efficient Platooning

10.4231/3X2D-TJ90

Paul Richardson, Paul Watta, Sridhar Lakshmanan, Timothy Kleinow, 0000-0002-7360-3633

03/17/2021

An investigation into the ability of Cellular Vehicle-to-Everything (CV2X) and Dedicated Short-Range Communication (DSRC) systems to accurately send and receive data between vehicles which have lost their line-of-sight (LOS) due to occluding...

Antennas Autonomy ccat Collision Avoidance Computer Simulation connected vehicles CV2X DSRC Error Prevention GPS Logistic Regression model intercomparison Modeling Non-Line-Of-Sight Platooning Radio Communications Radio-Frequency Statistical analysis testing

Code file for Rmax prediction model and relevant data used in the analyses (Chavas and Knaff 2022, Weather and Forecasting)

10.4231/WMMS-XY76

Daniel Robert Chavas, 0000-0001-9172-8328

05/06/2022

Simple MATLAB code to predict Rmax from R34kt as explained in Chavas and Knaff (2022) Eq. 2-4 + Eq 7.

Climate Change EAPS Flood Damage Hurricanes Modeling Risk Analysis tropical cyclones

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