Datasets

subject: Agricultural and Biological Engineering

Total is 33 Results
Potential Suitability for Subirrigation in the U.S. Midwest

10.4231/10ES-AH67

Benjamin Reinhart ORCID logo , Feng Yu ORCID logo , Jane Frankenberger ORCID logo , Jason Ackerson ORCID logo

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

Monitored soil moisture and temperature in Indiana crop rotated field

10.4231/7NSM-JJ67

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

12/18/2019

Soil moisture and temperature data were collected at five different depths from October 2017 to September 2019 in a crop rotated field.

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

HTP-Soy: An Aerial Image Set of Multi-category Soybean for High-Throughput Phenotyping (HTP)

10.4231/ZAD3-MG98

Beichen Lyu , Katy Rainey ORCID logo , Keith Cherkauer ORCID logo , Stuart D Smith

01/06/2020

The publication “HTP-Soy” contains 1,728 aerial images of soybean plots in the field and each image is categorized based on spatial, temporal, and genetic variations. Data is made available to encourage development of HTP applications.

Agricultural and Biological Engineering Computer Vision High-throughput Phenotyping Image Dataset Indiana Plant Breeding Remote Sensing Soybean Unmanned Aerial Systems

Arequipa Climate Maps - Yearly, Monthly and Daily

10.4231/Y00Z-N127

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

05/29/2020

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 Modeling Peru Precipitation Regression kriging Spatial Analysis Spatial modeling Temperature

Arequipa Climate Maps – Normals

10.4231/JNBK-ZK34

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

09/09/2021

Arequipa Climate Maps – Normals, is a dataset containing 30-year averages of annual and monthly climatology derived from observations of daily air temperature, and precipitation 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

Arequipa Climate Maps – Normals

10.4231/490D-HC66

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

12/20/2019

Arequipa Climate Maps – Normals, is a dataset containing 30-year averages of annual and monthly climatology derived from observations of daily air temperature, and precipitation 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 Prediction Spatial Analysis Temperature

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

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