Data were collected/obtained from multiple sources: lompoc_precipitation.csv: Downloaded from Santa Barbara County website (https://www.countyofsb.org/2328/Daily-Rainfall-Data-XLS) by selecting Lompoc. Daily Rainfall (in inches) recorded as of 8 am for the previous 24 hours (PST). jcr_precipitation.csv: Data from White Buffalo Land Trust (https://whitebuffalolandtrust.org). Rain gauges on Jalama Canyon Ranch were checked after every rain event, or if rain was ongoing, every several days. The rain gauge reset every time it was checked. Shared with permission. irriwatch_jcr.zip: Data from IrriWatch (https://irriwatch.com) via White Buffalo Land Trust's subscription to the IrriWatch data service (https://whitebuffalolandtrust.org). Methods used to develop the IrriWatch dataset can be found on irriwatch.com. Shared with permission. IrriWatch_Management Units_ES_HABITAT_FINAL.shp: Data from White Buffalo Land Trust containing spatial information on IrriWatch fields and other spatial boundaries on the Jalama Canyon Ranch. Shared with permission. Processed data: jcr.csv: Aggregates data from the files above. It also includes grazing rotation data at Jalama Canyon Ranch from White Buffalo Land Trust. The grazing data was input in-line in jcr.Rmd Code: jcr.Rmd: The code used to combine datasets into jcr.csv is provided in jcr.Rmd renv.lock: Contains package information used for jcr.Rmd

The CSV files can be read using open source alternatives to Excel such as Libre Office, Google Sheets, or statistical programming languages like R or Python. The Rmd and renv.lock files are intended to be read using R, an open source programming language primarily used for statistics and data analysis. The renv.lock file lists packages and dependencies used in this project. The shapefile can be read using the open source software QGIS or R.

This dataset contains grazing data and a variety of remotely sensed environmental indicators about a 1,000 acre ranch near Lompoc, CA, called Jalama Canyon Ranch. The ranch is operated by a nonprofit focused on regenerative agriculture research and education called White Buffalo Land Trust. The remotely sensed indicators include primary inputs and derived inputs based on a surface energy balance model.