Subject
Creator
- Qianlai Zhuang, 0000-0002-4536-9851 4
- Xuan Xi, 0000-0003-1886-3085 3
- Geoffrey Alistair Sanchez, 0009-0002-0604-260X 2
- Keith A Cherkauer, 0000-0002-6938-5303 2
- Laura C Bowling, 0000-0002-1439-3154 2
- Peter Bermel, 0000-0001-7140-0667 2
- Pierre Gentine 2
- Seungbum Kim 2
- Stuart D Smith 2
- Xinyu Liu 2
Type
- Dataset 8
Date
Total is 8 Results
Monitored soil moisture and temperature in Indiana crop rotated field
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
Multi-Year Study Maize Agrivoltaics Soil Moisture 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
A Hybrid Physics-Guided Deep Learning Modeling Framework for Predicting Surface 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)
A Hybrid Physics-Guided Deep Learning Modeling Framework for Predicting Surface Soil Moisture
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)
Evaluating the effects of precipitation and evapotranspiration on soil moisture variability
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
Evaluating the variability of surface soil moisture simulated within CMIP5 using SMAP 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
Monitored soil moisture and temperature in Indiana crop rotated field
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
Multi-Year Study Maize Agrivoltaics Soil Moisture and Maize Information
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
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Results 1 - 8 of 8