USDA-ARS Northwest Sustainable Agroecosystems Research (NSAR) and Washington State University (WSU) established a long-term meteorological and eddy covariance tower in 2017.

The USDA-ARS Southwest Watershed Research Center (SWRC) operates the Walnut Gulch Experimental Watershed (WGEW) in southeastern Arizona as an outdoor laboratory for studying semiarid rangeland hydrologic, ecosystem, climate, and erosion processes. Since its establishment in 1953, the SWRC in Tucson, Arizona, has collected, processed, managed, and disseminated high-resolution, spatially distributed hydrologic data in support of the center’s mission. Data management at the SWRC has evolved through time in response to new computing, storage, and data access technologies. In 1996, the SWRC initiated a multiyear project to upgrade rainfall and runoff sensors and convert analog systems to digital electronic systems supported by data loggers. This conversion was coupled with radio telemetry to remotely transmit recorded data to a central computer, thus greatly reducing operational overhead by reducing labor, maintenance, and data processing time. A concurrent effort was initiated to improve access to SWRC data by creating a system based on a relational database supporting access to the data via the Internet. An SWRC team made up of scientists, IT specialists, programmers, hydrologic technicians, and instrumentation specialists was formed. This effort is termed the Southwest Watershed Research Center Data Access Project (DAP). The goal of the SWRC DAP is to efficiently disseminate data to researchers; land owners, users, and managers; and to the public. Primary access to the data is provided through a Web-based user interface. In addition, data can be accessed directly from within the SWRC network. The first priority for the DAP was to assimilate and make available rainfall and runoff data collected from two instrumented field sites, the WGEW near Tombstone, Arizona, and the Santa Rita Experimental Range (SRER) south of Tucson, Arizona. This web map describes the associated GIS layers.

A stationary camera overlooking the Kendall sub-watershed in the Walnut Gulch Experimental Watershed used to track vegetation phenology (RGB and IR imagery). Images are taken every 30 minutes between 4:00am and 10:30pm local standard time. A link to the Phenocam's network FAQ: https://phenocam.sr.unh.edu/webcam/faq

A stationary camera overlooking the Lucky Hills sub-watershed in the Walnut Gulch Experimental Watershed used to track vegetation phenology (RGB and IR imagery). Images are taken every 30 minutes between 4:00am and 10:30pm local standard time. A link to the Phenocam's network FAQ: https://phenocam.sr.unh.edu/webcam/faq

Existing native vegetation mapping covering the Maitland Local Government Area (Umwelt, 2009; following Hill, 2003) was updated by NGH in 2021 using an aerial photograph interpretation approach using the most recently acquired, Council supplied imagery from 2020 and 2021. Using a systematic 1km x 1km grid, mapped vegetation was reviewed against the underlying high spatial resolution imagery at a scale of 1:10,000. Based on this review one of two responses were made to update the data: - removal of polygons or parts thereof in response to vegetation loss (603 ha removed)- addition of polygons in response to previously unmapped vegetation or emergence of new regrowth (832 ha added).An assessment and classification of vegetation condition was also completed using on-screen visual appraisal of newly mapped vegetation, ground truthed by Council, and the development and application of vegetation condition classification which was applied to the entire mapped vegetation layer.

Existing native vegetation mapping covering the Maitland Local Government Area (Umwelt, 2009; following Hill, 2003) was updated by NGH in 2021 using an aerial photograph interpretation approach using the most recently acquired, Council supplied imagery from 2020 and 2021. Using a systematic 1km x 1km grid, mapped vegetation was reviewed against the underlying high spatial resolution imagery at a scale of 1:10,000. Based on this review one of two responses were made to update the data: - removal of polygons or parts thereof in response to vegetation loss (603 ha removed)- addition of polygons in response to previously unmapped vegetation or emergence of new regrowth (832 ha added).An assessment and classification of vegetation condition was also completed using on-screen visual appraisal of newly mapped vegetation, ground truthed by Council, and the development and application of vegetation condition classification which was applied to the entire mapped vegetation layer.

The Teagasc Subsoils map classifies the subsoils of Ireland into 16 themes, using digital stereo photogrammetry supported by field work. Produced by Teagasc (Kinsealy), EPA and GSI.

These data are measurement time series collected onboard multiple mobile monitoring vehicles. The data are at a high time resolution (seconds to minutes). This dataset is associated with the following publication: Lin, M., G. Hagler , R. Baldauf , V. Isakov , and A. Khlystov. The Effects of Vegetation Barriers on Near-road Ultrafine Particle Number and Carbon Monoxide Concentrations. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 553: 372-379, (2016).

Three years following the Gold King Mine (GKM) spill that released approximately 11 million liters of metal-laden mine drainage into the Animas River, the scientific community is still evaluating the effects of this acute environmental impact in the context of a chronically mineaffected region. People living within the region affected by the spill had two principal concerns in its aftermath: is the water safe and what are the spill effects on the plants and fish consumed by humans? These are related issues, and perhaps not easy to answer. The work reported here aims to answer the second question regarding spill effects on biota, while appreciating that doing so requires a sophisticated understanding of chemical element cycling and the interactions among the physical and biological components of the aquatic and terrestrial ecosystems within the influence of the Animas and San Juan Rivers.

This study used data from field plots in urban areas to describe forest structure (e.g., tree numbers, density, basal area, species composition) for six land use categories in six California climate zones: Southern California Coast, Inland Empire, Inland Valley, Southwest Desert, Northern, and Interior West. Two types of field plot data were utilized. The first set of data include 702 randomly sampled 0.04 hectare (ha) plots obtained from i-Tree Eco plot data for Los Angeles (in 2007-2008), Santa Barbara (2012) and the Sacramento area (2007). The second set of data (687 plots, in 2011) consisted of 0.067 ha (four 0.017 ha subplots) plots based on the Forest Service Forest Inventory and Analysis (FIA) plot design. The number of plots collected varied by climate zone and a total of 3,796 trees were sampled. Data collection included percentage of tree canopy cover over the plot, tree species, stem diameter at breast height (1.37 meters above ground, dbh), tree height, crown width, distance and azimuth to buildings that fit the requirements as specified in the i-Tree Eco and Urban FIA manuals.

Lysimeters are instruments that measure water and/or solute movement in soils. The primary purpose for these lysimeters was to measure evapotranspiration (ET); these data describe changes in soil water during the snow-free season. In addition to measuring changes in total soil water, soil water content profiles and soil temperature profiles were measured within or adjacent to the lysimeters and are reported. Two pairs of soil lysimeters were installed in the RCEW in 1967, one pair at the Lower Sheep Creek climate station (designated the east and west lysimeters), separated, center to center, by 3.6 m, and the other pair at the Reynolds Mountain climate station (designated north and south), separated by 4.7 m. These lysimeters were hydraulic weighing lysimeters in which an inner cylindrical tank containing soil is set within a slightly larger outer cylinder. The inner cylinder rests on a coil of 0.05 m diameter butyl tubing filled with liquid (different low-freezing point liquids were used). The inner cylinder was 1.22 m deep and 1.47 m in diameter. The butyl tubing was hydraulically connected underground to a pressure transducer or manometer. The soil in each lysimeter was extracted from near the lysimeter sites. A soil core was taken by repeatedly excavating a soil cylinder of slightly larger diameter than the lysimeter and forcing the lysimeter sleeve over the soil to the depth of the sleeve (1.22 m). A metal plate was then forced across the cylinder bottom and welded to it in place. The inner cylinder, thus filled with soil, was then transported to the previously excavated outer cylinder via crane and set on the butyl tubing. A neutron probe access tube was installed in the center of each lysimeter to monitor soil water content changes with depth, and two 1.2 m ceramic suction "candles" were placed at the bottom of the lysimeters through a separate entrance. This operation resulted in an undisturbed soil monolith with extant vegetation in place. This is critical for two reasons: (1) Growing native vegetation under natural conditions is problematic in this environment, and plant development is slow. (2) The soil horizonation, particularly the argillic and calcic horizons which are both strongly embedded in coarse fragments, would be essentially impossible to reproduce artificially.

VegScape is a geospatial data service which offers automated updates of vegetative condition at daily, weekly, and biweekly intervals. VegScape delivers interactive vegetation indices that enable quantification of U.S. crop conditions for exploring, visualizing, querying, and disseminating via interactive maps.

The i-Tree Canopy tool was used to photo-interpret tree canopy and other land cover classes using available Google Maps imagery and estimate the area of each class using a point sampling method. All 50 suburbs within the Maitland LGA were individually assessed. The resultant tree canopy map shows estimated tree canopy cover >3m high, including native and exotic tree species and orchards. The data is presented by suburb for the Maitland LGA for the 2015-16 period based on the available Google Maps imagery. This tree canopy dataset has been developed to be statistically comparable with those other LGAs assessed by the Benchmarking Australia's Urban Tree Canopy 2014 report (Jacobs et al 2014).

The i-Tree Canopy tool was used to photo-interpret tree canopy and other land cover classes using available Google Maps imagery and estimate the area of each class using a point sampling method. All 50 suburbs within the Maitland LGA were individually assessed. The resultant tree canopy map shows estimated tree canopy cover >3m high, including native and exotic tree species and orchards. The data is presented by suburb for the Maitland LGA for the 2015-16 period based on the available Google Maps imagery. This tree canopy dataset has been developed to be statistically comparable with those other LGAs assessed by the Benchmarking Australia's Urban Tree Canopy 2014 report (Jacobs et al 2014).