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.
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
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
Data for: Warm temperatures increase population growth of a non-native defoliator and inhibit demographic responses by parasitoids
10.4231/P800-NM47
Andrew Liebhold
,
Brian Aukema
,
Samuel Ward
,
Songlin Fei
07/01/2020
Abundance of larch casebearer (larvae, adults) on western larch in Oregon and Washington (1972-1995) along with parasitism rates from two imported biological control agents.
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
Agricultural Advisors’ Climate Risk Perceptions: 2013 Survey Data
10.4231/R7707ZDF
Amber Mase
,
Cody Knutson
,
Jean McGuire
,
Linda S. Prokopy
,
Lois Morton
,
Maria Lemos
,
Melissa J. Widhalm
,
Stuart Carlton
,
Tonya Haigh
11/30/2016
Agricultural advisors in 4 Midwestern states were surveyed in Feb 2013 about their climate risk perceptions, climate change beliefs, and willingness to use climate information.
Advisors Agriculture Climate Change Corn Belt Midwest Social Science Survey
Data for Fertilizer Management and Environmental Factors Drive N2O and NO3 Losses in Corn: A Meta-Analysis
10.4231/R7NS0S57
Alison J Eagle , Ardell D. Halvorson , Bijesh Maharjan , Craig F. Drury , Douglas R. Smith , G. Philip Robertson , John P. Hoben , Rodney T. Venterea , Timothy B. Parkin
11/12/2018
Data used in Eagle et al. 2017 (Soil Sci. Soc. Am. J. 81:1191–1202; doi:10.2136/sssaj2016.09.0281). Fertilizer Management and Environmental Factors Drive N2O and NO3 Losses in Corn: A Meta-Analysis
4R Nutrient Management Agriculture Climate Change Corn Empirical Models Hierarchical Model IPNI Maize Meta-analysis Nitrate Leaching Nitrogen Nitrogen Fertilizer Nitrous Oxide North America Synthesis Water Quality
Display #
Results 1 - 10 of 36