Subject
Creator
- Qianlai Zhuang, 0000-0002-4536-9851 26
- Daniel Robert Chavas, 0000-0001-9172-8328 10
- Bailu Zhao, 0000-0002-1326-4801 8
- Alexandra Meyer, 0000-0002-6006-0588 4
- Lisa Welp-Smith, 0000-0001-7125-0478 4
- Mingyang Guo, 0000-0002-3087-453X 4
- Zeli Tan 4
- Douglas R Schmitt, 0000-0001-6920-0658 3
- L. Ruby Leung 3
- Licheng Liu, 0000-0002-9649-1056 3
Type
- Dataset 63
Date
Total is 63 Results
Wabash River Baseflow Dataset 2015
10.4231/RNA2-WJ54
07/20/2020
This dataset contains the geochemical and isotopic data from the 2015 baseflow sampling campaign in the Wabash River watershed.
aqueous geochemistry baseflow chlorine-36 EAPS Groundwater stable isotopes strontium isotopes Watershed
Data for Intercomparison of thermal regime algorithms in 1-D lake models
10.4231/8246-C724
Huaxia Yao
,
L. Ruby Leung
,
Malgorzata Golub
,
Mingyang Guo
,
Qianlai Zhuang
,
Zeli Tan
09/08/2020
This dataset includes the model intercomparison results using the Arctic Lake Biogeochemistry Model (ALBM) and codes for analysis.
EAPS global lake thermal dynamics lake model model intercomparison
Photos and videos documenting spring emergences and sampling locations in and around Mount Hood National Forest and Glacier National Park
10.4231/1R4N-RP33
02/26/2021
This dataset contains photos and videos documenting sampling locations in and around Mount Hood National Forest and Glacier National Park.
alpine Climate Change EAPS glacier Glacier National Park glaciers Mount Hood National Forest springs
A process-based biogeochemistry model and analysis for current and future global lake methane emissions
10.4231/67YG-V518
01/25/2023
This data contains the source code of a lake biogeochemistry model - Arctic Lake Biogeochemistry Model (ALBM).
Methane emissions from land and aquatic ecosystems in Western Siberia: An analysis with methane biogeochemistry models
10.4231/80RV-X686
Qianlai Zhuang
,
Seungbum Kim
,
Xuan Xi
,
Zhen Zhang
02/27/2023
This dataset contains the main codes and data for the methane emissions quantification from land and aquatic ecosystems in Western Siberia based on biogeochemical methane models.
Weakening cooling effect of northern peatlands on the global climate system during the 21st century
10.4231/BB7M-HN65
03/30/2023
This dataset contains the code, run directory and outputs for Peatland Terrestrial Ecosystem Model v 2.3.
2100 C budget climate modeling EAPS Holocene N dynamcis northern peatlands
Code and Model results for Soil organic carbon is a key determinant of CH4 sink in global forest soils
10.4231/8K7W-NF84
Hojeong Kang
,
Jaehyun Lee
,
Qianlai Zhuang
,
Youmi Oh
05/09/2023
This dataset contains code and model results for the paper 'Soil organic carbon is a key determinant of CH4 sink in global forest soils' by Lee et al. (2023).
Biogeochemistry EAPS global forest soils Methane Dynamics Model (MDM) soil methane oxidation
Modeling N2O emission from the pan-Arctic terrestrial ecosystems
10.4231/KZ5W-DC21
Bailu Zhao
,
Narasinha Shurpali
,
Qianlai Zhuang
,
Ye Yuan
05/17/2023
This dataset contains the main codes and data for the N2O emissions quantification from pan-Arctic terrestrial ecosystems on a process-based biogeochemical model.
Arctic Region EAPS N2O emission Permafrost Terrestrial Ecosystem Model (TEM)
Quantifying the impacts of wildfires on soil thermal, hydrological and carbon dynamics in northern Eurasia from 2003 to 2016
10.4231/ZJM7-A207
05/02/2024
It contains simulation results of TEM in Eurasia during 2003-2016.
Carbon Dynamics EAPS Terrestrial Ecosystem Model (TEM) Wildfire
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)
Display #
Results 1 - 10 of 63