Datasets

subject: Agricultural and Biological Engineering

Total is 33 Results
Estimated land cover properties for hydrologic modeling in Arequipa, Peru

10.4231/GYN8-W684

Fariborz Daneshvar , Jane R Frankenberger ORCID logo , Johann Alexander Vera Mercado , Keith A Cherkauer ORCID logo , Laura C Bowling ORCID logo

12/03/2020

This dataset provides spatially-distributed land cover properties required for SWAT hydrologic modeling in the Arequipa Department of Peru. Developed methodology for estimation of land cover properties is also provided.

Agricultural and Biological Engineering ArcGIS Arequipa Arequipa Nexus Institute Crops Geographic Information Systems (GIS) grassland Hydrologic Modeling Hydrology Peru SWAT model UNSA Watershed

Precipitation and Temperature Data for Select 12 Stations in Kenya, Tanzania, and Uganda (1979-2020)

10.4231/2YMW-JY19

Daniel Moriasi , F. Mishili , Margaret W Gitau ORCID logo , Nicholas Kiggundu , Victoria Garibay

07/31/2021

Raw climate data from ground-based stations as available and shareable, and time series developed from Climate Forecast System Reanalysis (CFSR) for selected stations in three East African countries—Kenya, Tanzania, and Uganda.

Agricultural and Biological Engineering Climate Hydroclimate Hydrologic Modeling Kenya laser_pulse Precipitation Tanzania Temperature Uganda Water Quality Modeling Water Resources water security

Estimated soil physical properties for hydrologic modeling in Arequipa, Peru

10.4231/N5MX-9W30

Fariborz Daneshvar , Jane R Frankenberger ORCID logo , Keith A Cherkauer ORCID logo , Laura C Bowling ORCID logo , Martín Juan C. Villalta Soto

10/30/2020

This dataset provides spatially-distributed soil physical properties required for SWAT hydrologic modeling in the Arequipa Department of Peru, based on regional soil maps and available soil profiles. Developed methodology is also provided.

Agricultural and Biological Engineering ArcGIS Arequipa Arequipa Nexus Institute Digital Soil Mapping Geographic Information Systems (GIS) Hydrologic Modeling Hydrology Peru soil SWAT model UNSA Watershed

A Rainfall-based, Sequential Depression-filling Algorithm and Applications on a Watershed in Northeastern Indiana, USA

10.4231/S2B6-J628

Dennis Buckmaster , Samuel Adam Noel ORCID logo

10/30/2020

Contents include script files for a sequential depression-filling algorithm developed in Matlab as well as elevation datasets used in a manuscript publication.

Agricultural and Biological Engineering Elevation Matlab Watershed

Arequipa Climate Maps - Yearly, Monthly and Daily

10.4231/QCN0-BB65

Andre Geraldo Moraes , Carlos Zeballos Velarde ORCID logo , Keith A Cherkauer ORCID logo , Laura C Bowling ORCID logo

09/09/2021

Arequipa Climate Maps – Yearly, Monthly and Daily (ACM-YMD), contains 30 years (1988-2017) of annual, monthly and daily gridded climate maps based on daily precipitation, and maximum and minimum air temperature for the Arequipa Department in Peru.

Agricultural and Biological Engineering Arequipa Arequipa Nexus Institute Climate Dynamics Climate Variability Climatology Geospatial Maps Mesoscale Meteorology Modeling Peru Precipitation Spatial Analysis Temperature

Wabash spectral-biogeochemical database

10.4231/R7000030

Indrajeet Chaubey , Jing Tan , Keith A Cherkauer ORCID logo

02/08/2017

This comprehensive spectral-biogeochemical database is developed for the Wabash River and the Tippecanoe River in Indiana, United States.

Agricultural and Biological Engineering Agriculture Biological Engineering Bottom properties Inherent optical properties Look-up table Wabash River Water Quality Water reflectance

Monitored soil moisture and temperature in Indiana crop rotated field

10.4231/FM0P-AJ03

Keith A Cherkauer ORCID logo , Laura C Bowling ORCID logo , Stuart D Smith

11/23/2020

Soil moisture and temperature data were collected at five different depths from October 2017 to September 2020 in a crop rotated field.

Agricultural and Biological Engineering Agriculture Environment Hydrology Indiana Soil Moisture Soil Temperature Time Series Climate Data

Volume Measurement of Biological Materials in Livestock or Vehicular Settings Using Computer Vision

10.4231/NE9P-HC76

Dennis Buckmaster , Matthew B Rogers

08/25/2022

A Velodyne Puck VLP-16 LiDAR and a Carnegie Robotics Multisense S21 stereo camera were compared for use in dusty agricultural conditions in a dust chamber. Next, the stereo camera was used for volume measurements in a feed bunk and in a grain truck.

Agricultural and Biological Engineering Agriculture Computer Vision LiDAR opencv robot operating system ros stereo vision

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