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Rangeland Analysis Platform: Monitor rangelands across the USA

    The Rangeland Analysis Platform ( rangelands.app) is a free online application that provides simple and fast access to geospatial vegetation data for U.S. rangelands. The tool was developed to provide landowners, resource managers, conservationists, and scientists access to data that can inform land management planning, decision making, and the evaluation of outcomes. The Rangeland Analysis Platform (RAP) uses innovative cloud computing technology to provide maps and analysis opportunities straight to your desktop, delivered securely and instantaneously.

    Data and code from: Synergistic soil, land use, and climate influences on wind erosion on the Colorado Plateau: Implications for management - v2

      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. (2023). Synergistic soil, land use, and climate influences on wind erosion on the Colorado Plateau: Implications for management. Science of The Total Environment (p. 164605). https://doi.org/10.1016/j.scitotenv.2023.164605". 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 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. (2023). Synergistic soil, land use, and climate influences on wind erosion on the Colorado Plateau: Implications for management. Science of The Total Environment (p. 164605). https://doi.org/10.1016/j.scitotenv.2023.164605". 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.