PURR Research Data Management for Purdue
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2060 research outputs found
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Artificial Intelligence for Optimal Truck Platooning: Impact on Autonomous Freight Delivery [version 1.0]
A data-driven surrogate model was proposed to predict the drag force and fuel-consumption rate of truck platoons
Analysis of Drone-based Last-mile Delivery Systems under Aerial Congestion: A Continuum Approximation Approach [version 1.0]
This study presents a systematic analysis and design framework for a spectrum of last-mile delivery systems that leverage unmanned aerial vehicles (UAVs)
Groundwater chemistry within Arequipa, Peru in the Characato, Chiguata, and Lagunas Salinas study areas [version 1.0]
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..
Likely Extent of Agricultural Drainage in the U.S. Midwest [version 1.0]
This dataset provides 30 m resolution raster layers of the likely extent of drained agricultural lands in the U.S. Midwest based on soil and land use, and a file geodatabase with tables summarizing the extent by state, county, and HUC8 watershed boundary
Evaluating the effects of precipitation and evapotranspiration on soil moisture variability [version 1.0]
This dataset includes the comparison results of models from the Coupled Model Intercomparison Project Phase 5 (CMIP5) with Soil Moisture Active Passive (SMAP) and ECMWF Reanalysis v5 (ERA5) products and the corresponding codes for analysis
Surface boundary layer turbulence measurements: Purdue Agronomy Center for Research and Education [version 1.0]
Dataset of measurements made between 2013 and 202
Uniform Soybean Tests Northern Region 2020 [version 1.0]
This dataset contains tables prepared for the 2020 Uniform Soybean Tests Northern Region Report
Modeling carbon accumulation and greenhouse gas emissions of northern peatlands since the Holocene [version 1.0]
This dataset is used to reproduce the results in Modeling carbon accumulation and greenhouse gas emissions of northern peatlands since the Holocene. The dataset includes simulated pan-Arctic peat thickness, soil C stock and historical permafrost..
A genetic labeling system to study dendritic spine development in zebrafish [version 1.0]
We have developed a genetic labeling system in zebrafish to enable high resolution in vivo imaging of dendritic spine dynamics during larval development
Ecological correlates of extinction risk and persistence of direct-developing stream-dwelling frogs in Mesoamerica [version 1.0]
List of CSV files used to produce the model