Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Skip to content

Data from: Vegetation index-based partitioning of evapotranspiration is deficient in grazed systems

Metadata Updated: April 21, 2025

The dataset includes 30 minutes values of partitioned evaporation (E) and transpiration (T), T:ET ratios, and other ancillary datasets for three ET partitioning methods viz. Flux Variance Similarity (FVS) method, Transpiration Estimation Algorithm (TEA), and Underlying Water Use Efficiency (uWUE) method for three wheat sites. Three wheat sites had different grazing treatments. For example, Site 1 was Grain-only and Graze-grain wheat for the 2016-17 and 2017-18 growing seasons, respectively. Site 2 was Grain-only wheat for the 2017-18 growing season. Site 3 was Graze-grain and Graze-out wheat for the 2016-17 and 2017-18 growing seasons, respectively. The grain-only wheat system is a single purpose to produce wheat grains only. Graze-grain wheat system has a dual purpose as it serves as a pasture for grazing cattle from November to February and is used to produce wheat grains later. Graze-out wheat system is also a single purpose crop that is grazed by the cattle for the entire season to solely serve as a pasture.
FVS method performed ET partitioning using the high frequency (10 Hz) data collected from Eddy Covariance Flux stations, located near the middle of each field. The high-frequency data were also processed using the EddyPro software to get good quality estimates of different fluxes at 30-minute intervals. The processed 30-min data were used by TEA and uWUE methods for ET partitioning. Ancillary hydro-meteorological variables including net radiation, air temperature, soil water content, relative humidity, and others, also have been included in this dataset. The study sites were located at the United States Department of Agriculture, Agricultural Research Service (USDA-ARS), Grazinglands Research Laboratory, El Reno, Oklahoma. All sites were rainfed. Resources in this dataset:Resource Title: FVS output and other met data and site info. File Name: FVS_output_and_other_met_data_and_site_info.xlsxResource Description: Output of FVS model along with corresponding meteorological data and site metadata.Resource Title: TEA output. File Name: TEA_output.xlsxResource Description: Out from TEA model along with site metadata.Resource Title: WUE output. File Name: uWUE_output.xlsxResource Description: Output of WUE model run along with site metadata.

Access & Use Information

Public: This dataset is intended for public access and use. License: us-pd

Downloads & Resources

Dates

Metadata Created Date April 10, 2024
Metadata Updated Date April 21, 2025
Data Update Frequency R/PT1S

Metadata Source

Harvested from USDA JSON

Additional Metadata

Resource Type Dataset
Metadata Created Date April 10, 2024
Metadata Updated Date April 21, 2025
Publisher Agricultural Research Service
Maintainer
Identifier 10.15482/USDA.ADC/1527834
Data Last Modified 2024-02-21
Public Access Level public
Data Update Frequency R/PT1S
Bureau Code 005:18
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Harvest Object Id f7a37e5c-28ff-4078-b20d-3285d544bc9a
Harvest Source Id d3fafa34-0cb9-48f1-ab1d-5b5fdc783806
Harvest Source Title USDA JSON
License https://www.usa.gov/publicdomain/label/1.0/
Old Spatial {"type": "MultiPoint", "coordinates": -98.063128, 35.559815, -98.063063, 35.567352, -98.019466, 35.5667}
Program Code 005:040
Source Datajson Identifier True
Source Hash d66d7a0e1889ba6710677db648a3d100b711e0ad1f836e661c99139df0a476bb
Source Schema Version 1.1
Spatial {"type": "MultiPoint", "coordinates": -98.063128, 35.559815, -98.063063, 35.567352, -98.019466, 35.5667}
Temporal 2016-09-29/2018-06-30

Didn't find what you're looking for? Suggest a dataset here.