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Data and code from: Synergistic soil, land use, and climate influences on wind erosion on the Colorado Plateau: Implications for management

    This dataset includes code and data to recreate analysis from the manuscript "Nauman, T.W., Munson, S.M., Dhital, S, Webb, N.P., Duniway, M.C. Synergistic soil, land use, and climate influences on wind erosion on the Colorado Plateau: Implications for managemen". In prep for STOTEN. This includes R statistical code, aeolian monitoring data and associated soil, land use, and climate explanatory data for each site, and a raster map showing areas modeled to have more sediment transport.

    Data on Pregnancy rates, calf weaning weights, and sale prices on the University of Nevada Agricultural Experiment Station’s Gund Ranch from 2008-2020

      The University of Nevada Agricultural Experiment Station’s Gund Ranch near Austin, Nevada is approximately 100,000 acres with grazing by 325 cow-calf pairs. Cows are mostly Angus (80%) and Hereford (20%). Bulls are Angus X Hereford. Calves are mostly Angus with some black baldies. Cattle graze a Bureau of Land Management (BLM) grazing permit from April through July. Calving starts about mid-April. Branding is planned for 90-100 days after birth with bull calves castrated as this time. Privately-owned meadows are grazed July-September with weaning starting on September 15. Cows are grazed on BLM low elevation shrublands and weaned calves are kept in meadows with supplemental hay feeding on the Gund Ranch from October 1st through January 1st. The calves not kept for replacements are gathered and weighed for a total herd weight and shipped approximately the 1st of November. The larger end of the steers and heifers typically range from 475-490 pounds. Around 100 head are loaded onto a semi to achieve a full truckload of 48,000-50,0000 pounds. The smaller end of the steers and heifers are shipped on a second semi load. Weights are decreased with a 2% shrink calculation. In Nevada, there are only two sale barns, so many ranches receive more money by selling semi loads shipped to grazinglands of buyers’ choice. Calves are primarily sold on the internet go through Roundup Cattle Company. In years with drought conditions, calves may not reach the 48,000-50,000 weight limit for a second truck. Thus, the smaller calves can be marketed through a local sale barn at a one of their special calf sales.

      Dynamic Soil Properties for Soil Health projects-v2

        This version-2 expands and updates the first dataset from the Dynamic Soil Properties for Soil Health (DSP4SH) initiative. The dataset represents the data gathered, processed, and curated using scientifically based approaches to evaluate dynamic soil properties as soil health metrics. This dataset comprises of raw data collected from assessment of dynamic soil properties that may change due to agricultural land management.

        Dynamic Soil Properties for Soil Health projects

          This dataset represents the first dataset from the Dynamic Soil Properties for Soil Health (DSP4SH) initiative. The dataset represents the data gathered, processed, and curated using scientifically based approaches to evaluate dynamic soil properties as soil health metrics. This dataset comprises of raw data collected from assessment of dynamic soil properties that may change due to agricultural land management.

          Data from: Runoff Water Quantity and Quality Data from Native Tallgrass Prairie and Crop-livestock Systems in Oklahoma between 1977 and 1999

            Historic data from the Water Resources and Erosion (WRE) watersheds at Grazinglands Research Laboratory (GRL), USDA-ARS, El Reno, OK. The WRE watersheds are eight 1.6 ha experimental watersheds established and instrumented in 1976 to measure precipitation and surface runoff quantity and quality. Data was collected from 1977 through 1999 and includes precipitation, runoff, sediment loads, water quality (N, P, suspended sediments), and land management data.

            Vegetation, rainfall simulation, and overland flow experiments before and after tree removal in woodland-encroached sagebrush steppe: the SageSTEP hydrology study

              Simulated rainfall and overland-flow experiments are useful for enhancing understanding of surface hydrologic and erosion processes, quantifying runoff and erosion rates, and developing and testing predictive quantitative models. This extensive dataset consists of rainfall simulation and overland flow experimental plot data coupled with associated measures of vegetation, ground cover, and surface soil properties across point to hillslope scales. Data were collected at three woodland-encroached sagebrush (*Artemisia* spp.) rangelands in the Great Basin, USA, under undisturbed/untreated conditions and 1 yr to 9 yr following fire and/or mechanical tree-removal treatments.

              LandPKS (Land Potential Knowledge System): Mobile App for Extension, Land-Use and Project Planning, M&E and On-Farm Research

                **LandPKS** comprises a free modular mobile phone app connected to cloud-based storage, global databases, and models, downloadable from Google Play or the iTunes App Store; a system for storing and accessing user data; and a system for sharing data, information and knowledge. LandPKS is being developed to help users determine the sustainable potential of their land, including its restoration potential, based on its unique soil, topography and climate. The land potential assessments will be updated based on new evidence regarding the success or failure of new management and restoration systems on different soils.

                National Land Cover Database 2011 (NLCD 2011)

                  National Land Cover Database 2011 (NLCD 2011) is the most recent national land cover product created by the Multi-Resolution Land Characteristics (MRLC) Consortium, providing the capability to assess national land cover changes and trends across the United States from 2001 to 2011 at a spatial resolution of 30 meters, based primarily on a decision-tree classification of circa 2011 Landsat satellite data.