10.4231/RDN7-PS52
Haozheng Qu, Janelle Wharry, 0000-0001-7791-4394, Kayla Yano, Matthew Swenson, Priyam Patki
08/23/2019
This algorithm package can automatically process transmission electron microscope (TEM) in situ micropillar compression test videos to extract the instantaneous pillar dimensions, then determine the true stress-strain curves and strain hardening...
Algorithms Analysis Tool Matlab Nuclear Engineering Strain Hardening Coefficient Stress/Strain Relationship Transmission Electron Microscopy
10.4231/B90H-VH37
Erica Carlson, 0000-0003-2162-5301, Karin Dahmen, Sayan Basak, 0000-0002-6388-3598
09/06/2019
These videos show the evolution of spin configurations in multiperiod limit cycle, generated from zero temperature simulations of 2D XY model with uniaxial random fields when subjected to a driving field which is rotated very slowly.
domain walls driving field multi period response Physics rotating field scientific animations spin configuration uniaxial random field XY model
10.4231/60V2-PJ72
Jiansong Zhang, 0000-0001-5225-5943, Jin Wu
10/09/2019
The dataset contains five models with extracted elements for each model. The elements are manually labeled by researchers with construction/civil engineering backgrounds based on discussion and majority vote.
Algorithms Architecture Engineering and Construction (AEC) Objects Building Construction Management Building Information Modelling (BIM) Construction Management Technology Industry Foundation Classes (IFC) Repository
10.4231/10ES-AH67
Benjamin Reinhart, 0000-0003-1649-3762, Feng Yu, 0000-0002-6505-2288, Jane Frankenberger, 0000-0002-2781-0041, Jason Ackerson, 0000-0001-8123-0200
11/08/2019
This series provides shapefiles showing the potential suitability, and limiting factors, for subirrigation in the U.S. Midwest based on gSSURGO soil data from the Natural Resources Conservation Service (NRCS).
Agricultural and Biological Engineering Agriculture Agronomy Drainage Geographic Information Systems (GIS) gSSURGO Irrigation Midwest Subirrigation Water Water Management
10.4231/XTZT-P683
Ho-Ching Yang, 0000-0003-2670-1772, Joseph V Rispoli, 0000-0003-4514-3390, Thomas M Talavage, 0000-0003-4977-6398, Wenbin Zhu, Yukai Zou, 0000-0002-9924-5926
09/12/2019
Unbiased population-specific brain templates for local adolescent collision-sport athletes in the longitudinal database of Purdue Neurotrauma Group, including a T1-weighted template and a DTI template.
Adolescents Atlasing Biomedical Engineering Brain Informatics Morphometrics MRI Neuroscience NIfTI Spatial Normalization Spatial Warping Statistical Methods Trauma Workflow
10.4231/6D95-RH34
Darrell Schulze, 0000-0001-9278-2457, Joshua Minai
11/18/2019
This is a disaggregated soil map of the Busia area.
Agronomy Busia Area Digital Soil Mapping Disaggregate K-Means Clustering Kenya Multiresolution Ridgetop Flatness Multiresolution Valley Bottom Flatness Planform Curvature Profile Curvature Topographic Position Index
10.4231/VA77-JB85
Darrell Schulze, 0000-0001-9278-2457, Joshua Minai
11/18/2019
These are suitability classes defining the requirements for various crops/ land use types.
Agronomy Beans Busia Area Cabbage Cassava Coffee Corn Cotton Crop Suitability Map Decision Matrix Forage Crops Grazing Guavas Kale Kenya Land Suitability Map Unit Millets Onions Peanuts Rice Sorghum Sugarcane Sunflower Tomato
10.4231/7F9R-4W74
Darrell Schulze, 0000-0001-9278-2457, Joshua Minai
11/18/2019
Environmental covariates were carefully selected to represent factors of soil formation: climate, relief, organisms, and time.
Agronomy Busia Area Environmental Covariates Kenya Landsat Terrain Attributes WorldClim
10.4231/4DBT-2W68
Darrell Schulze, 0000-0001-9278-2457, Joshua Minai
11/18/2019
Enviromental covariate data used to develop a digital model that represents the landscape and environmental conditions of the Busia landscape.
Agronomy Busia Area Digital Soil Mapping Disaggregate Geographic Information Systems (GIS) Kenya Soil Land Rule-Based Approach
10.4231/TDN8-PM14
Darrell Schulze, 0000-0001-9278-2457, Joshua Minai
11/18/2019
Map based on the concept that soil classes can be spatially inferred from soil-related environmental conditions.
Agronomy Busia Area Digital Soil Mapping Fuzzy Membership Values Geographic Information Systems (GIS) Kenya SoLIM
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