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Using predicted lake temperatures from uncalibrated, process-based models (PB0) and process-guided deep learning models (PGDL), this dataset summarized a collection of thermal metrics to characterize lake temperature impacts on fish habitat for 881 lakes. Included in the metrics are daily thermal optical habitat areas and a set of over 172 annual thermal metrics.
This dataset provides shapefile outlines of the 7,150 lakes that had temperature modeled as part of this study. The format is a shapefile for all lakes combined (.shp, .shx, .dbf, and .prj files). A csv file of lake metadata is also included. This dataset is part of a larger data release of lake temperature model inputs and outputs for 7,150 lakes in the U.S. states of Minnesota and Wisconsin (http://dx.doi.org/10.5066/P9CA6XP8).
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Soil erosion potential due to water based on the RUSLE soil loss equation. These data are provided by Bureau of Land Management (BLM) "as is" and may contain errors or omissions. The User assumes the entire risk associated with its use of these data and bears all responsibility in determining whether these data are fit for the User's intended use. These data may not have the accuracy, resolution, completeness, timeliness, or other characteristics appropriate for applications that potential users of the data may contemplate. The User is encouraged to carefully consider the content of the metadata file associated with these data. The BLM should be cited as the data source in any products derived from these data.
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This map shows areas of high potential for wind and water erosion. These areas were extracted from state geology layers, STATSGO soils, elevation, and landcover. These data are provided by Bureau of Land Management (BLM) "as is" and may contain errors or omissions. The User assumes the entire risk associated with its use of these data and bears all responsibility in determining whether these data are fit for the User's intended use. These data may not have the accuracy, resolution, completeness, timeliness, or other characteristics appropriate for applications that potential users of the data may contemplate. The User is encouraged to carefully consider the content of the metadata file associated with these data....
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These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. This map shows specific water-quality items and hydrologic data site information which come from QWDATA (Water Quality) and GWSI (Ground Water Information System). Both QWDATA and GWSI are subsystems of NWIS (National Water Inventory System)of the USGS (United States Geologic Survey). This map is for Uintah County, Utah. The scope and purpose of NWIS is defined on the web site: http://water.usgs.gov/public/pubs/FS/FS-027-98/
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These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. This map shows specific water-quality items and hydrologic data site information which come from QWDATA (Water Quality) and GWSI (Ground Water Information System). Both QWDATA and GWSI are subsystems of NWIS (National Water Inventory System)of the USGS (United States Geologic Survey). This map is for Daggett County, Utah. The scope and purpose of NWIS is defined on the web site: http://water.usgs.gov/public/pubs/FS/FS-027-98/
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This EnviroAtlas web service supports research and online mapping activities related to EnviroAtlas (https://www.epa.gov/enviroatlas). The Clean and Plentiful Water category in this web service includes layers illustrating the ecosystems and natural resources that filter and regulate water, the need or demand for clean and plentiful water, the impacts associated with water quality, and factors that place stress on water quality and supply. EnviroAtlas allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the conterminous United States. Additional descriptive information about each attribute in this web service is located within each web...
Types: Citation; Tags: 12-digit HUCs, Agriculture, Air, Alabama, Alaska, All tags...
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This dataset contains small cutthroat trout lakes within Southeast Alaska. These are smaller lakes that do not produce cutthroat trout large enough to reach the 11-inch regional minimum size limit. Each of these lakes has a 9-inch minimum size limit, and bait is prohibited. Regionwide limits of 2 per day and 2 in possession apply. Currently there are seven lakes in Southeast Alaska with the small cutthroat lake designation. Please verify fishing regulations with current Alaska Department of Fish and Game Sport Fishing Regulations at the following link: http://www.adfg.alaska.gov/index.cfm?adfg=fishregulations.se_sportfish
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The Pima County Information Technology Department is pleased to introduce PimaMaps, Pima County's next generation web mapping system that will eventually replace the current MapGuide system. The Main MapGuide Map, will remain available for a substantial amount of time while PimaMaps is fully implemented. While MapGuide has been a very reliable web mapping system for many years, it is no longer supported by Autodesk. PimaMaps is based on new technology, provides a more robust and modern interface comparable to Google and Bing, and offers a richer set of functionality beyond what is available with MapGuide. This version of PimaMaps has the following functionality and enhancements that are not available with MapGuide:...
What are current conditions for important park natural resources? What are the critical data and knowledge gaps? What are some of the factors that are influencing park resource conditions? Natural Resource Condition Assessments (NRCAs) evaluate and report on the above for a subset of important natural resources in national park units (hereafter, parks). Focal study resources and indicators are selected on a park-by-park basis, guided by use of structured resource assessment and reporting frameworks. Considerations include park resource setting and enabling legislation (what are this park's most important natural resources?) and presently available data and expertise (what can be evaluated at this time?). In addition...
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Natural landscapes in the Southwestern United States are changing. In recent decades, rising temperatures and drought have led to drier conditions, contributed to large-scale ecological impacts, and affected many plant and animal species across the region. The current and future trajectory of climate change underscores the need for managers and conservation professionals to understand the impacts of these patterns on natural resources. In this regional assessment of the Southwest Climate Change Initiative, we evaluate changes in annual average temperatures from 1951–2006 across major habitats and large watersheds and compare these changes to the number of species of conservation concern that are found within these...
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MC1 is a widely used dynamic global vegetation model (DGVM) that has been used to simulate potential vegetation shifts in California and Alaska, all of North America, and over the entire globe under various climate change scenarios. However, past simulations were run at a scale that is too coarse (e.g., 10km x 10km for the California simulations) for use by local resource managers, such as those in Yosemite National Park ( see Data Basin feature on Yosemite results ). More recently, the model has been implemented at a finer resolution (800m x 800m) of greater utility to National Park staff. MC1 is a model that simulates vegetation types, ecosystem fluxes of carbon, nitrogen, and water, as well as wildfire occurrence...
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El Espacio Digital Geográfico (ESDIG) de la SEMARNAT, muestra en mapas información sobre las características ambientales y sociales del país en temas como vegetación, uso del suelo, cuerpos de agua, suelos, clima, población, entre otros, así como de los resultados de programas ambientales y sociales dedicados al aprovechamiento, conservación y recuperación de los ecosistemas naturales de México. Los mapas desplegados son extraídos de la base de datos geográfica del SNIARN. La información contenida en ésta base ha sido generada por diferentes áreas de la Semarnat, sus órganos desconcentrados y descentralizados, así como también por el INEGI y diversas dependencias del Gobierno Federal.
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ARS scientists publish results of their research projects in many formats. Listed below are the publications from research projects conducted at this location. Clicking on a publication title will take you to more information on the publication. Clicking on the reprint icon will take you to the publication reprint.
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A Vision for the Chihuahuan Desert The Chihuahuan Desert, shared by two nations, is one of the most biologically rich desert ecoregions in the world, alive with large mammals, birds, reptiles and an unmatched diversity of cactus species. The desert’s rivers, streams and springs are considered to be of global significance, home to fish species found nowhere else on earth. Our vision is a Chihuahuan Desert where governments, local communities, non-governmental organizations, academic institutions, landowners, and other stakeholders are working together to ensure that the richness and diversity of wildlife, habitats, natural communities, and ecological processes of the Chihuahuan Desert are conserved and, where necessary,...
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This web map contains the ESRI ArcGIS Online World Topographic Map service, (aka "the community basemap"). The World Topographic Map service is designed to be used as a basemap by GIS professionals and as a reference map by anyone. The service includes administrative boundaries, cities, water features, physiographic features, parks, landmarks, highways, roads, railways, airports, and buildings overlaid on land cover and s
This map service is an information surface which displays what percentage of the soil map unit is subject to water being ponded on the soil surface. Each soil map unit polygon falls into one of the following classes according to NRCS: 0-14%, 15-49%, 50-74% or 75-100%. Esri is providing NRCS SSURGO content here without modification except for some cartography and publishing necessary to facilitate esri user access to these data. Of course, esri will continue to update this inform This map service is an information surface which displays what percentage of the soil map unit is subject to water being ponded on the soil surface. Each soil map unit polygon falls into one of the following classes according to...
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Rainwater Harvesting and Stormwater Research is a priority research area identified by the Arizona Governor’s Blue Ribbon Panel on Water Sustainability, which recommended that universities take the lead to identify regulatory barriers, cost and benefits, water quality issues and avenues for increasing utilization of stormwater and rainwater at the regional, community and individual property level. In an effort to address the priority research area, the University of Arizona will develop a decision support tool to be used by public utilities and agencies to evaluate suitability and cost-effectiveness of rainwater and stormwater capture at various scales for multiple benefits. Data from the City of Tucson, Arizona...


map background search result map search result map Topographic World Map Presence of Soil Ponding Small Cutthroat Trout Lakes Utility Guide to Rainwater/Stormwater Harvesting as an Adaptive Response to Climate Change PimaMaps Natural Resource Condition Assessments Managing Changing Landscapes in the Southwestern United States Southwest Watershed Research Publications MC1 Dynamic Global Vegetation Model Espacio Digital Geográfico (ESDIG) Ecoregion-Based Conservation in the Chihuahuan Desert EnviroAtlas - Clean and Plentiful Water Metrics for the Conterminous United States USGS National Landcover - Woodland in Ohio 20191108 State or Territory FileGDB 10.1 USGS National Landcover - Woodland in Oklahoma 20190610 State or Territory FileGDB 10.1 BLM REA SOD 2010 MQA1 Soil Wind Water Erosion BLM REA NGB 2011 Water Erosion Potential Process-based water temperature predictions in the Midwest US: 1 Spatial data (GIS polygons for 7,150 lakes) Walleye Thermal Optical Habitat Area (TOHA) of selected Minnesota lakes: 7 thermal and optical habitat estimates Specific Water Quality Sites for Daggett County, Utah Specific Water Quality Sites for Uintah County, Utah Specific Water Quality Sites for Daggett County, Utah Small Cutthroat Trout Lakes USGS National Landcover - Woodland in Ohio 20191108 State or Territory FileGDB 10.1 USGS National Landcover - Woodland in Oklahoma 20190610 State or Territory FileGDB 10.1 Walleye Thermal Optical Habitat Area (TOHA) of selected Minnesota lakes: 7 thermal and optical habitat estimates BLM REA SOD 2010 MQA1 Soil Wind Water Erosion Managing Changing Landscapes in the Southwestern United States Ecoregion-Based Conservation in the Chihuahuan Desert Utility Guide to Rainwater/Stormwater Harvesting as an Adaptive Response to Climate Change Process-based water temperature predictions in the Midwest US: 1 Spatial data (GIS polygons for 7,150 lakes) BLM REA NGB 2011 Water Erosion Potential MC1 Dynamic Global Vegetation Model Espacio Digital Geográfico (ESDIG) EnviroAtlas - Clean and Plentiful Water Metrics for the Conterminous United States Presence of Soil Ponding Southwest Watershed Research Publications Natural Resource Condition Assessments Topographic World Map