Datasets

Subject
Creator
Type
Date

subject: Climate Change date: 2019

Total is 11 Results
Climate Projection Data for 21st century for the Western Lake Erie Basin (Indiana, Ohio, and Michigan)

10.4231/R7GX48SF

Margaret W. Gitau ORCID logo , Sushant Mehan

01/01/2019

Climate data from ground-based climate stations obtained from National Climate Data Center and bias corrected climate values from different climate models for different emission scenarios for the entire Western Lake Erie Basin.

Agriculture Biological Engineering Climate Change Climate Projections Computational Biology Great Lakes Greenhouse Gas Emissions Hydroclimate Hydrologic Modeling Indiana Michigan Ohio Precipitation RCP8.5 Climate Projections Temperature Western Lake Erie Basin

Climate Projections for the Western Lake Erie Basin for medium and high emission scenarios for hydrologic modeling assessment studies (Indiana, Ohio, and Michigan)

10.4231/R7C53J3W

Margaret Gitau ORCID logo , Sushant Mehan

01/01/2019

The observed climate data and bias corrected climate projections based on data from sixteen different ground based climate stations from National Climatic Data Center for hydrology and climate change studies.

Agriculture Biological Engineering Climate Change Climate Projections Great Lakes Greenhouse Gas Emissions Hydrologic Modeling Indiana Lake Erie Maumee River Basin Michigan Ohio Precipitation Temperature Western Lake Erie Basin

Spatial-Temporal Climate Projection Data for 21st-century for the Western Lake Erie Basin (WLEB) for hydrologic studies

10.4231/R73R0R42

Margaret Gitau ORCID logo , Sushant Mehan

01/01/2019

Temporal climate projection data for 2006-2099 for sixteen different climate stations for the Western Lake Erie Basin. This dataset includes data for climate stations in Indiana, Ohio, and Michigan.

Agriculture Biological Engineering Climate Change Climate Projections Great Lakes Greenhouse Gas Emissions Hydroclimate Hydrologic Modeling Indiana Michigan Ohio Precipitation Temperature Western Lake Erie Basin

Climate Time Series Analysis using R

10.4231/R77H1GTX

Margaret Gitau ORCID logo , Sushant Mehan

01/01/2019

Time series analysis of climate data using R

Agriculture Biological Engineering Climate Change Descriptive Statistics Extreme Event Analysis RStudio Statistical analysis Time Series Climate Data

Responses of dominant tree-mycorrhizal associations to anthropogenic impacts in the USA

10.4231/R76D5R7S

Insu Jo , Songlin Fei ORCID logo

03/12/2019

Data published here are used to understand anthropogenic influences on tree mycorrhizal associations in USA forests

Climate Change Forest Forestry and Natural Resources Mycorrhizal Nutrient cycling

Data For Relationships of Nitrous Oxide Emissions to Fertilizer Nitrogen Recovery Efficiencies in Rain-fed Corn Systems: Research Foundation Building

10.4231/NSKN-0502

Rex Omonode ORCID logo , Tony Vyn ORCID logo

07/23/2019

Tillage affected relationships between N2O and NRE; stronger negative linear relationships under no-till and strip-till compared to moldboard. Ecological intensification increased grain yield without significant increase of N2O emission.

4R 4R N management Agronomy Climate Change Corn Crop Science Ecological Intensification Emission Factor Farmer's Practice Grain Nitrogen Uptake IPNI Purdue N Timing Nitrogen Recovery Efficiency Nitrogen Use Efficiency Nitrous Oxide Split N application Tillage Total Nitrogen Uptake Yield-Scaled N2O

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 ORCID logo

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

Junrong Zha , Qianlai Zhuang ORCID logo

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)

Modeling the Sea Level Changes in Guam

10.4231/0A0F-7A84

Avnika Manaktala ORCID logo

10/14/2019

This project works on understanding the different statistical models that are available to analyze and predict mean sea level changes in Guam.

Climate Change Data Education Earth and Atmospheric Sciences FAIR Data Machine Learning Sea level rise Statistical analysis Statistical Methods

Quantifying Dissolved Organic Carbon Dynamics Using a Three-Dimensional Terrestrial Ecosystem Model at High Spatial-Temporal Resolutions

10.4231/7YY6-HQ02

Chang Liao ORCID logo , Laodong Guo , Qianlai Zhuang ORCID logo , Ruby Leung

12/02/2019

Arctic ecosystems are very sensitive to the global climate change. This study provides a modeling framework to adequately quantify the Arctic land ecosystem carbon budget by considering the lateral transport of carbon affected by permafrost...

Alaska Arctic Region Biogeochemistry C Carbon Cycle Climate Change Earth and Atmospheric Sciences ECO3D Ecosystem Hydrology LSM Permafrost TEM

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