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Over the past 40 years the National Wildlife Health center has collected wildlife health information from around the U.S. and beyond, amassing the world’s largest repository of wildlife-disease surveillance data. This project identified, characterized, and documented NWHC’s locally stored wildlife health datasets, a critical first step to migrating them to new laboratory- and public-facing data systems, such as the Wildlife Health Information Sharing Partnership-event reporting system. To accomplish this, we developed a systematic, standardized approach for collaborating with laboratory scientists to locate, define, and classify their long-term datasets so that they can be cleansed, archived, and mapped to new...
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In the mid-1800s, tile-drains wereinstalled in poorly-drained soils of topographic lows as watermanagement to protectcropland during wet conditions; consequently, estimations of tile-drain location have been based on soil series. Most tile drainsare in the Midwest, however each state has farms with tile and tile-drain density has increased in the last decade. Where tile drains quickly remove waterfrom fields,groundwater and stream water interaction can change, affecting water availabilityand flooding. Nutrients and sediment can quickly travel to streams thru tile, contributing to harmful algal blooms and hypoxia in large water bodies. Tile drains are below the soil surface, about1 m deep, but their location...
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As one of the largest and oldest science organizations in the world, USGS has produced more than a century of earth science data, much of which is currently unavailable to the greater scientific community due to inaccessible or obsolescent media, formats, and technology. Tapping this vast wealth of “dark data” requires 1) a complete inventory of legacy data and 2) methods and tools to effectively evaluate, prioritize, and preserve the data with the greatest potential impact to society. Recognizing these truths and the potential value of legacy data, USGS has been investigating legacy data management and preservation since 2006, including the 2016 “DaR” project, which developed legacy data inventory and evaluation...
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USGS research for the Risk and Vulnerability to Natural Hazards project at the Western Geographic Science Center has produced several geospatial datasets estimating the time required to evacuate on foot from two tsunami evacuation zones (standard and extreme) traveling at three travel speeds (impaired, slow, and fast walking speeds) for the Island of O’ahu, HI. Tabulation of O’ahu resident and employee counts by region, community, and the estimated travel speed necessary to reach safety within 15 minutes serves as the final dataset for conclusions. These data are useful for emergency managers and community planners to plan for tsunami evacuations, but are often difficult to serve using traditional static maps and...
As research and management of natural resources shift from local to regional and national scales, the need for information about aquatic systems to be summarized to multiple scales is becoming more apparent. Recently, four federally funded national stream assessment efforts (USGS Aquatic GAP, USGS National Water-Quality Assessment Program, U.S. Environmental Protection Agency [EPA] StreamCat, and National Fish Habitat Partnership) identified and summarized landscape information into two hydrologically and ecologically significant scales of local and network catchments for the National Hydrography Dataset Plus (NHDPlus). These efforts have revealed a significant percentage of assessment funds being directed to the...
The CDI Upload, Registry and Access Project was added as a core capability to ScienceBase, a data integration system sponsored by Core Science Systems. The following description is the abstract from the 2012-3874 USGS Fact Sheet: "As a leading science and information agency and in fulfillment of its mission to provide reliable scientific information to describe and understand the Earth, the U.S. Geological Survey (USGS) ensures that all scientific data are effectively hosted, adequately described, and appropriately accessible to scientists, collaborators, and the general public. To succeed in this task, the USGS established the Community for Data Integration (CDI) to address data and information management issues...
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Many coastal areas are experiencing departures from normal conditions due to changing land use and climate patterns, including increased frequency, severity, or duration of floods and droughts, in some cases combinations of the two. To address these issues, the U.S. Geological Survey developed the Coastal Salinity Index (CSI) to identify and communicate fluctuating salinity conditions due to such disturbance events through quantitative analyses of long-term salinity records. This project aims to make the CSI broadly useful as a monitoring, forecasting, and decision-making tool, extending the platform to enable real-time reporting of disturbance events as they unfold and covering a larger user base than what existing...
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Rangeland ecosystems are one of the largest single providers of agro-ecological services in the U.S. The plant growth of these rangelands helps determine the amount of forage available for our livestock and for wildlife, as well as information about fire likelihood and restoration opportunities. However, every spring, ranchers and other rangeland managers face the same difficult challenge —trying to approximate how much and where grass will be available during the upcoming growing season. This project represents an innovative grassland productivity forecasting tool, named “Grass-Cast”, which we are developing for the US Southwest to help managers and producers in the region reduce this economically important source...
Drought is a major problem in the American Southwest that is expected to worsen under the effects of climate change. Currently, the Southwest Biological Science Center is monitoring the effects of drought with soil moisture probes in a range of ecosystems across an elevational gradient on the Colorado Plateau. These data are used in multiple studies to analyze the effects of drought on vegetation composition and demography. Accessing and analyzing that data still relies on traditional site visits, which can result in delayed recognition of erroneous data, a common pitfall in many field-science operations. We propose to improve upon this traditional data workflow by leveraging the use of Internet of Things (IoT)...
Fire has increased dramatically across the western U.S.and these increases are expected to continue. With this reality, it is critical that we improve our ability to forecast the timing, extent, and intensity of fire to provideresource managers and policy makers the information neededfor effective decisions. For example, an advanced, spatially-explicit prediction of the upcoming fire season would support the planning and prioritization of fire-fighting crews, the placement and abundance of fire breaks, and the amount and type of seed needed for post-fire restoration. While the Southwesthasseen exceptional increasesin fire, these drierecosystems are also notably difficult forfire predictions because ofuniqueremote...


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