subject: Agricultural and Biological Engineering type: dataset
10.4231/QCN0-BB65
Andre Geraldo Moraes, Carlos Zeballos Velarde, 0000-0002-9483-6962, Keith A Cherkauer, 0000-0002-6938-5303, Laura C Bowling, 0000-0002-1439-3154
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
10.4231/R7000030
Indrajeet Chaubey, Jing Tan, Keith A Cherkauer, 0000-0002-6938-5303
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
10.4231/FM0P-AJ03
Keith A Cherkauer, 0000-0002-6938-5303, Laura C Bowling, 0000-0002-1439-3154, 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
10.4231/GYN8-W684
Fariborz Daneshvar, Jane R Frankenberger, 0000-0002-2781-0041, Johann Alexander Vera Mercado, Keith A Cherkauer, 0000-0002-6938-5303, Laura C Bowling, 0000-0002-1439-3154
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
10.4231/2YMW-JY19
Daniel Moriasi, F. Mishili, Margaret W Gitau, 0000-0002-4931-7047, 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
10.4231/N5MX-9W30
Fariborz Daneshvar, Jane R Frankenberger, 0000-0002-2781-0041, Keith A Cherkauer, 0000-0002-6938-5303, Laura C Bowling, 0000-0002-1439-3154, 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
10.4231/S2B6-J628
Dennis Buckmaster, Samuel Adam Noel, 0000-0001-8387-2725
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
10.4231/08KP-6A11
Fariborz Daneshvar, Jane R Frankenberger, 0000-0002-2781-0041
07/19/2019
Instructional videos for the Soil and Water Assessment Tool (SWAT)
Agricultural and Biological Engineering ArcGIS Arequipa Arequipa Nexus Institute Geographic Information Systems (GIS) Hydrologic Modeling Soil and Water Assessment Tool UNSA Video Water Quality Watershed
10.4231/HQGB-K827
Amir Hossein Raffiee, Arezoo M. Ardekani, Denilson Mendes De Oliveira, 0000-0002-2579-8405, Mohit S. Verma, 0000-0002-6374-3333, Murali K. Maruthamuthu, 0000-0001-9419-1925
09/03/2020
Raman spectroscopic dataset for the potential microbes contaminating the pharmaceutical industry.
Agricultural and Biological Engineering deep learning microbial contamination Raman
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
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