10.4231/FM0P-AJ03
Keith A Cherkauer , Laura C Bowling , Stuart D Smith
11/23/2020
Soil moisture and temperature data were collected at five different depths from October 2017 to September 2020 in a crop rotated field.
Agricultural and Biological Engineering Agriculture Environment Hydrology Indiana Soil Moisture Soil Temperature Time Series Climate Data
10.4231/A0QC-7E03
Pierre Gentine , Qianlai Zhuang , Seungbum Kim , Xuan Xi
12/01/2021
This dataset includes the comparison results of 17 land surface models from the Coupled Model Intercomparison Project Phase 5 (CMIP5) globally using the Soil Moisture Active Passive (SMAP) products and codes for analysis.
EAPS Fourier Analysis Land Surface Model Matlab SMAP Soil Moisture
10.4231/WHJ3-KN14
Pierre Gentine , Qianlai Zhuang , Seungbum Kim , Xuan Xi
04/22/2022
This dataset includes the comparison results of models from the Coupled Model Intercomparison Project Phase 5 (CMIP5) with Soil Moisture Active Passive (SMAP) and ECMWF Reanalysis v5 (ERA5) products and the corresponding codes for analysis.
CMIP5 EAPS Fourier Analysis Matlab software SMAP Soil Moisture
10.4231/7NSM-JJ67
Keith A Cherkauer , Laura C Bowling , Stuart D Smith
12/18/2019
Soil moisture and temperature data were collected at five different depths from October 2017 to September 2019 in a crop rotated field.
Agricultural and Biological Engineering Agriculture Environment Hydrology Indiana Soil Moisture Soil Temperature Time Series Climate Data
10.4231/M2Z8-NT18
Geoffrey Alistair Sanchez , Peter Bermel
03/07/2024
Volumetric water content (m^3/m^3) data for agrivoltaic experimental setup. Here will also be the data which was inputed based off a k-fold Bayesian Regularization Neural Network.
agrivoltaics Bayesian Regularization Neural Network Maize Soil Moisture
10.4231/NR0B-EJ07
Qianlai Zhuang , Xinyu Liu , Xuan Xi
05/24/2024
This dataset contains the main materials for predicting site-level surface soil moisture based on a developed hybrid physics-guided deep learning modeling framework.
EAPS Long short-term memory (LSTM) Physics-Guided Deep Learning Soil Moisture Terrestrial Ecosystem Model (TEM)
10.4231/SBB0-V865
Qianlai Zhuang , Xinyu Liu , Xuan Xi
08/21/2024
This dataset contains the main materials for predicting site-level surface soil moisture based on a developed hybrid physics-guided deep learning modeling framework.
EAPS Long short-term memory (LSTM) Physics-Guided Deep Learning Soil Moisture Terrestrial Ecosystem Model (TEM)
10.4231/0JKD-A159
Elizabeth K. Grubbs , Geoffrey Alistair Sanchez , Margaret W Gitau , Mitchell R Tuinstra , Peter Bermel , Rakesh Agrawal , Shelby Gruss , Val Schull
11/18/2024
Volumetric water content (m^3/m^3) data, maize yield, silking/anthesis, height data for agrivoltaic experimental setup. Here will also be the data which was inputed based off a k-fold Bayesian Regularization Neural Network.
agrivoltaics Bayesian Regularization Neural Network Crop yield Maize Soil Moisture
Display #
Results 1 - 8 of 8