Subject
Creator
- Qianlai Zhuang, 0000-0002-4536-9851 23
- Bailu Zhao, 0000-0002-1326-4801 8
- Daniel Robert Chavas, 0000-0001-9172-8328 8
- Mingyang Guo, 0000-0002-3087-453X 4
- Zeli Tan 4
- Alexandra Meyer, 0000-0002-6006-0588 3
- Douglas R Schmitt, 0000-0001-6920-0658 3
- L. Ruby Leung 3
- Licheng Liu, 0000-0002-9649-1056 3
- Lisa Welp-Smith, 0000-0001-7125-0478 3
Type
- Dataset 57
Date
Total is 57 Results
Rising methane emissions from boreal lakes due to increasing ice-free days
10.4231/FYFN-1Z68
Mingyang Guo, 0000-0002-3087-453X, Narasinha Shurpali, Pertti Martikainen, Pirkko Kortelainen, Qianlai Zhuang, 0000-0002-4536-9851, Sari Juutinen, Zeli Tan
03/30/2020
This publication includes model output of a lake biogeochemistry model ALBM, and data analysis codes which were used for paper 'Rising methane emissions from boreal lakes due to increasing ice-free days' by Guo et al. in Environmental Research...
Groundwater chemistry within Arequipa, Peru in the Characato, Chiguata, and Lagunas Salinas study areas
10.4231/PJRM-Q992
Elizabeth Olson, Lisa R. Welp, 0000-0001-7125-0478, Marty D. Frisbee, 0000-0002-9928-7149, Odiney Alvarez Campos
01/14/2022
We identified recharge zones and groundwater flowpaths supporting springs near Arequipa, Peru using general chemistry and isotopic tracers (δ18O, δ2H, and 3H) in springs, surface waters, and precipitation sampled from March 2019 through February...
Andes Arequipa Arequipa Nexus Institute Chemistry EAPS Groundwater Peru recharge salar stable isotopes
Failure pattern around the borehole in elastic and strength anisotropic rock formations
10.4231/0NWT-5Y39
Douglas R Schmitt, 0000-0001-6920-0658, Wei Li, Wenjing Wang
08/11/2021
A Matlab-based algorithm that predicts the development of borehole breakouts in elastic and strength anisotropic rock formations using Lekhnitskij-Amadei (LA) equations.
anisotropy EAPS failure pattern Matlab single plane of weakness wellbore stability analysis
Current and projected global lake methane emissions by mechanistic modeling
10.4231/JZ10-FH54
John Melack, L. Ruby Leung, Mingyang Guo, Qianlai Zhuang, 0000-0002-4536-9851, Xin Lan, Youmi Oh, Zeli Tan
11/12/2021
Model output of methane diffusive, ebullitive, and total fluxes.
Evaluating the variability of surface soil moisture simulated within CMIP5 using SMAP data
10.4231/A0QC-7E03
Pierre Gentine, Qianlai Zhuang, 0000-0002-4536-9851, 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
Stormslam survey results
10.4231/ZVCB-PM81
Loran Carleton Parker, Robin Lynn Tanamachi, 0000-0002-5450-3012
01/05/2022
De-identified results of pre- and post-course surveys given to students in EAPS 13800 (Spring 2021) who used the online game Stormslam for engagement.
Global CO Dynamics Model Output during 1901-2100
10.4231/XK25-7981
Licheng Liu, 0000-0002-9649-1056, Qianlai Zhuang, 0000-0002-4536-9851
06/10/2020
Global soil CO fluxes during 1901-2013, 2000-2013 and 2014-2100 from model simulations. Together with published paper, figures and tables.
Atmospheric Chemistry Modeling Biogeochemistry Carbon Monoxide Climate Climate Dynamics EAPS Earth and Atmospheric Sciences
Data for Validation and Sensitivity Analysis of a 1-D Lake Model across Global Lakes
10.4231/NPYJ-GE58
Huaxia Yao, L. Ruby Leung, Malgorzata Golub, Mingyang Guo, Qianlai Zhuang, Zeli Tan
06/18/2020
This dataset includes the calibration and sensitivity test results of 58 lakes globally using the Arctic Lake Biogeochemistry Model (ALBM) and codes for analysis.
EAPS global lake thermal dynamics lake model sensitivity test
Modeling Holocene Peatland Soil Carbon Accumulation in North America
10.4231/8GEV-2P56
Bailu Zhao, 0000-0002-1326-4801, Catherine Prigent, Filipe Aires, Jason K. Keller, Qianlai Zhuang, 0000-0002-4536-9851, Scott Bridgham, Sirui Wang, Zicheng Yu
06/18/2020
This dataset include the necessary data and codes to reproduce the figures used in the paper.
North American boreal forests are a large carbon source due to wildfires from 1986 to 2016
10.4231/TSK3-1733
Bailu Zhao, 0000-0002-1326-4801, Jukka Pumpanen, Narasinha Shurpali, Qianlai Zhuang, 0000-0002-4536-9851
06/18/2020
The bundle contains the codes and data used to generate the figures in the paper.
boreal fires burn severity carbon loss EAPS North America TEM
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