subject: Statistical analysis type: dataset
10.4231/0A0F-7A84
10/14/2019
This project works on understanding the different statistical models that are available to analyze and predict mean sea level changes in Guam.
Climate Change Data Education Earth and Atmospheric Sciences FAIR Data Machine Learning Sea level rise Statistical analysis Statistical Methods
10.4231/R77H1GTX
Margaret Gitau , Sushant Mehan
01/01/2019
Time series analysis of climate data using R
Agriculture Biological Engineering Climate Change Descriptive Statistics Extreme Event Analysis RStudio Statistical analysis Time Series Climate Data
10.4231/3X2D-TJ90
Paul Richardson , Paul Watta , Sridhar Lakshmanan , Timothy Kleinow
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
10.4231/R72F7KK2
Benjamin M Gramig , Seong Do Yun
08/16/2017
Agro-Climatic Data by County (ACDC) is a county level dataset that combines annual corn/soybean/cotton/wheat yield with gridded growing degree days, precipitation, and soil characteristics data from public data provided by USDA-NASS, USDA-NRCS,...
ACDC Crop yield Econometrics Forestry and Natural Resources GDD gSSURGO NIFA Precipitation PRISM Soil ph Statistical analysis U2U USDA-NASS USDA-NRCS Water holding capacity
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