Subject
Creator
- Songlin Fei, 0000-0003-2772-0166 6
- Tonya Haigh 6
- Amber Mase 5
- Cody Knutson 5
- Linda S. Prokopy, 0000-0001-7076-0046 5
- Melissa J. Widhalm, 0000-0002-6099-4006 5
- Lois Morton 4
- Qianlai Zhuang, 0000-0002-4536-9851 4
- Sarah Church 4
- Sushant Mehan 4
Type
- Dataset 36
Date
Total is 36 Results
Data for fish reproductive phenology shifts with increasing temperature and year
10.4231/KT69-1R91
Greg Sass
,
Joshua Matthew Tellier
,
Les Daniel Warren
,
Marissa Lynn Cubbage
,
Oliver Selz
,
Scott T Koenigbauer
,
Tomas O. Höök
05/01/2024
Data for meta-analysis of temperature and year effects on fish reproductive phenology.
Data for Permafrost Degradation Diminishes Terrestrial Ecosystem Carbon Sequestration Capacity on the Qinghai-Tibetan Plateau
10.4231/03FM-XN05
Dan Kou
,
Dongsheng Zhao
,
Du Zheng
,
Lei Liu
,
Qianlai Zhuang
,
Yuanhe Yang
09/17/2021
Dataset about the effects of permafrost degradation on C and N cycling on the Qinghai-Tibetan Plateau in the 21st century
Carbon Sequestration Climate Change Earth and Atmospheric Sciences Matlab Nitrogen Availability Permafrost degradation Qinghai-Tibetan Plateau
Code and Data from Nutrient loading effects on fish habitat quality: Trade-offs between enhanced production and hypoxia in Lake Erie, North America
10.4231/EGDX-Q577
Daniel K. Rucinski
,
Leah Zoe Almeida
,
Tim Sesterhenn
,
Tomas Höök
01/25/2022
Metadata, model code, and output data for the study "Nutrient loading effects on fish habitat quality: Trade-offs between enhanced production and hypoxia in Lake Erie, North America".
bioenergetics Climate Change eutrophication Forestry and Natural Resources growth rate potential model Lake Erie
Code file for Rmax prediction model and relevant data used in the analyses (Chavas and Knaff 2022, Weather and Forecasting)
10.4231/WMMS-XY76
05/06/2022
Simple MATLAB code to predict Rmax from R34kt as explained in Chavas and Knaff (2022) Eq. 2-4 + Eq 7.
Climate Change EAPS Flood Damage Hurricanes Modeling Risk Analysis tropical cyclones
Code for tropical cyclone wind profile model of Chavas et al (2015, JAS)
10.4231/CZ4P-D448
06/06/2022
This code will output a tropical cyclone near-surface wind profile as defined in Chavas et al (2015, JAS); MATLAB or python version
Climate Change damage EAPS hazard Hurricanes impact Risk assessment tropical cyclone wind field wind profile
Biases in U.S. severe convective storm environmentsdriven by biases in mean state near-surface moist static energy across CMIP6 models
10.4231/9647-TV41
Daniel Robert Chavas
,
Funing Li
11/23/2022
This database provides data (in NetCDF format) and code for reproducing figures in the manuscript of Chavas&Li (2022).
Climate Change climate models CMIP6 EAPS extreme weather severe thunderstorm environments severe thunderstorms tornadoes
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
The enigma of Oligocene climate and global surface temperature evolution
10.4231/SFX6-RZ18
Charlotte O'Brien
,
Ellen Thomas
,
James Super
,
Leanne Elder
,
Mark Pagani
,
Matthew Huber
,
Pincelli Hull
09/04/2020
This is supporting material for "The enigma of Oligocene climate and global surface temperature evolution" published in PNAS in 2020 by O'Brien et al.
Climate Change climate modeling Earth and Atmospheric Sciences ice volume organic biomarkers oxygen isotopes Paleoclimate Sea level rise
Distributional shifts of regional forest communities in the eastern United States
10.4231/F0BT-GN15
Christopher M. Oswalt
,
Jonathan Knott
,
Michael A. Jenkins
,
Songlin Fei
07/24/2019
This dataset contains the distribution of forest communities across the eastern United States at T1 (1980-1995) and T2 (2015-2017) and the species comprising these communities.
Climate Change Forest Inventory and Analysis Forestry and Natural Resources Latent Dirichlet Allocation Regional Forest Communities Spatial Shifts
Microbial decomposition processes and vulnerable arctic soil organic carbon in the 21st century
10.4231/ANMV-J384
07/25/2019
Various levels of representations of biogeochemical processes in current biogeochemistry models contribute to uncertainty in carbon budget quantification. Detailed microbial mechanisms were incorporated into TEM 5.0 (Terrestrial Ecosystem Model).
Arctic Region Biogeochemistry Carbon Dynamics Climate Change EAPS Earth and Atmospheric Sciences Microbial-Based Model Terrestrial Ecosystem Model (TEM)
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Results 1 - 10 of 36