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
10.4231/7NSM-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
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
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 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
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)
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
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
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Results 1 - 8 of 8