Creator
- Avnika Manaktala, 0000-0003-4470-4037 1
- Licheng Liu, 0000-0002-9649-1056 1
- Qianlai Zhuang, 0000-0002-4536-9851 1
Type
- Dataset 2
Date
subject: Machine Learning subject: Earth and Atmospheric Sciences
Total is 2 Results
Modeling the Sea Level Changes in Guam
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
Data of global wetland methane emissions from artificial neural network modeling v1.0
10.4231/3YX4-EY30
01/21/2020
Source code of an ANN model, site level data, input data, output data and visualization results, which are presented in the manuscript "Inventorying Global Wetland Methane Emissions Based on In Situ Data and an Artificial Neural Network...
Artificial Neural Network (ANN) Atmospheric Chemistry Modeling Biogeochemistry Earth and Atmospheric Sciences Interactive Data Language (IDL) Machine Learning Matlab Methane Dynamics Model (MDM) Methane Emission
Display #
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