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Public access spatial analysis and statistic summaries of the Protected Areas Database of the United States (PAD-US) provide land managers and decision makers with a general assessment of public access across the nation, as represented by the Public Access Category (see Public Access Cat Definition sheet in Microsoft Excel downloads). Area statistics include total acreage, acres by managing agency, and percent access. These summaries are available for various units: National, State, Department of the Interior Region, Congressional District, County, Hydrologic Unit Code 12, EcoRegions I-IV, Urban Areas. Overlapping designation boundaries are intersected into fee simple lands in the Vector Analysis File ( https://www.sciencebase.gov/catalog/item/6064e0edd34eff1443414d6f...
Categories: Data; Tags: Agricultural Research Service, Alabama (AL), Alaska (AK), American Samoa (AS), Arizona (AZ), All tags...
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Spatial analysis and statistical summaries of the Protected Areas Database of the United States (PAD-US) provide land managers and decision makers with a general assessment of management intent for biodiversity protection, natural resource management, and recreation access across the nation. The PAD-US 2.1 Combined Fee, Designation, Easement feature class (with Military Lands and Tribal Areas from the Proclamation and Other Planning Boundaries feature class) was modified to remove overlaps, avoiding overestimation in protected area statistics and to support user needs. A Python scripted process ("CreateVectorAnalysisFileScript.zip" associated item of PAD-US 2.1 Spatial Analysis and Statistics, 2021; https://doi.org/10.5066/P9KJLB3Q)...
Categories: Data; Tags: Agricultural Research Service, Alabama (AL), Alaska (AK), American Samoa (AS), Arizona (AZ), All tags...
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Protection Status spatial analysis and statistical summaries of the Protected Areas Database of the United States (PAD-US) provide land managers and decision makers with a general assessment of management intent to protect biodiversity across the nation and identify areas managed for multiple uses, including natural resource extraction, as represented by the GAP Status Code (see GAP Status Code Definition sheet in all associated Summary Statistics by GAP Status Code Microsoft Excel Workbook download). Area statistics include total acreage, acres by managing agency, and percent protection. These summaries are available for various units of interest to stakeholders: National, State, Department of the Interior Region,...
Categories: Data; Tags: Agricultural Research Service, Alabama (AL), Alaska (AK), American Samoa (AS), Arizona (AZ), All tags...
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Spatial analysis and statistical summaries of the Protected Areas Database of the United States (PAD-US) provide land managers and decision makers with a general assessment of management intent for biodiversity protection, natural resource management, and recreation access across the nation. The PAD-US 4.0 Combined Fee, Designation, Easement feature classes (with Military Lands and Tribal Areas from the Proclamation and Other Planning Boundaries feature classes) were modified to remove overlaps, avoiding overestimation in protected area statistics and to support user needs. A Python scripted process ("PADUS4_0_VectorAnalysis_Script_Python3.zip") associated with this data release prioritized overlapping designations...
Tags: Agricultural Research Service, Alabama (AL), Alaska (AK), American Samoa (AS), Arizona (AZ), All tags...
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Spatial analysis and statistical summaries of the Protected Areas Database of the United States (PAD-US) provide land managers and decision makers with a general assessment of management intent for biodiversity protection, natural resource management, and outdoor recreation access across the nation. This data release presents results from statistical summaries of the PAD-US 4.0 protection status (by GAP Status Code) and public access status for various land unit boundaries (PAD-US 4.0 Vector Analysis and Summary Statistics). Summary statistics are also available to explore and download from the PAD-US Statistics Dashboard ( https://www.usgs.gov/programs/gap-analysis-project/science/pad-us-statistics ). The vector...
Tags: Agricultural Research Service, Alabama (AL), Alaska (AK), American Samoa (AS), Arizona (AZ), All tags...
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The USGS Protected Areas Database of the United States (PAD-US) is the nation's inventory of protected areas, including public land and voluntarily provided private protected areas, identified as an A-16 National Geospatial Data Asset in the Cadastre Theme ( https://ngda-cadastre-geoplatform.hub.arcgis.com/ ). The PAD-US is an ongoing project with several published versions of a spatial database including areas dedicated to the preservation of biological diversity, and other natural (including extraction), recreational, or cultural uses, managed for these purposes through legal or other effective means. The database was originally designed to support biodiversity assessments; however, its scope expanded in recent...
Tags: Agricultural Research Service, Alabama (AL), Alaska (AK), American Samoa (AS), Arizona (AZ), All tags...
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This dataset contains the selected physical properties and chemical constituents that were measured at Puerto Mosquito, Isla de Vieques on June 22, 2017. A cross-sectional profile was conducted by measuring a total of ten selected site throughout the lagoon during the morning. Field water-quality measurements included the parameters of specific conductance, and dissolved oxygen.
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Spatial analysis and statistical summaries of the Protected Areas Database of the United States (PAD-US) provide land managers and decision makers with a general assessment of management intent for biodiversity protection, natural resource management, and recreation access across the nation. The PAD-US 4.0 Combined Fee, Designation, Easement feature classes in the Full Inventory Database (with Military Lands and Tribal Areas from the Proclamation and Other Planning Boundaries feature classes) were modified to prioritize overlapping designations, avoiding massive overestimation in protected area statistics, and simplified by the following PAD-US attributes to support user needs for raster analysis data: Manager...
Tags: Agricultural Research Service, Alabama (AL), Alaska (AK), American Samoa (AS), Arizona (AZ), All tags...
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In 2013, the U.S. Geological Survey (USGS) in partnership with the U.S. Federal Highway Administration (FHWA) published a new national stormwater quality model called the Stochastic Empirical Loading Dilution Model (SELDM; Granato, 2013). The model is optimized for roadway projects but in theory can be applied to a broad range of development types. SELDM is a statistically-based empirical model pre-populated with much of the data required to successfully run the application (Granato, 2013). The model uses Monte Carlo methods (as opposed to deterministic methods) to generate a wide range of precipitation events and stormwater discharges coupled with water-quality constituent concentrations and loads from the upstream...
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The dataset contains the selected physical properties and chemical constituents that were measured at Caño Boquerón, Cabo Rojo, and Puerto Mosquito, Isla de Vieques, Puerto Rico during a diurnal cycle. Two diel studies were conducted per lagoon to determine the community primary productivity. Photosynthesis creates oxygen which enhances microbiological activity and results in the production of organic matter. Primary productivity is important for supporting the food web in aquatic ecosystems. The field data collection included the measurement of temperature, dissolved oxygen, and percent of oxygen saturation. Measurements were obtained at about 1 hour intervals. Diel studies were conducted on October 29, 2015 and...
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The dataset includes daily rainfall collected at Puerto Mosquito, Isla de Vieques and Caño Boquerón, Cabo Rojo, Puerto Rico from July 1, 2015 to July 28, 2016. Two rain gages were installed at: 1) USGS stations: 50129935 - Caño Boquerón No. 3, and 2) 50231500 - Laguna Bahía Puerto Mosquito No. 1. Site inspections of both rain gages occurred at 6-weeks intervals. Further details regarding the calibration, equipment, and data processing are available in the USGS National Information System (NWIS).
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Spatial analysis and statistical summaries of the Protected Areas Database of the United States (PAD-US) provide land managers and decision makers with a general assessment of management intent for biodiversity protection, natural resource management, and recreation access across the nation. The PAD-US 2.1 Combined Fee, Designation, Easement feature class in the full inventory (with Military Lands and Tribal Areas from the Proclamation and Other Planning Boundaries feature class) was modified to remove overlapping designations, avoiding massive overestimation in protected area statistics, and simplified by the following six PAD-US attributes to support user needs for raster analysis data: Category, Manager Type,...
Tags: Agricultural Research Service, Alabama (AL), Alaska (AK), American Samoa (AS), Arizona (AZ), All tags...


    map background search result map search result map Analysis of diel dissolved oxygen curves at Caño Boquerón, Cabo Rojo and Puerto Mosquito, Isla de Vieques, Puerto Rico Field water-quality measurements of dissolved oxygen and specific conductance in Puerto Mosquito, Isla de Vieques, Puerto Rico (June 22, 2016) Daily rainfall collected at Caño Boquerón, Cabo Rojo and Puerto Mosquito, Isla de Vieques, Puerto Rico, July 1, 2015 to July 28, 2016 Application of the North Carolina Stochastic Empirical Loading and Dilution Model (SELDM) to Assess Potential Impacts of Highway Runoff Field water-quality measurements of dissolved oxygen and specific conductance in Puerto Mosquito, Isla de Vieques, Puerto Rico (June 22, 2016) Analysis of diel dissolved oxygen curves at Caño Boquerón, Cabo Rojo and Puerto Mosquito, Isla de Vieques, Puerto Rico Daily rainfall collected at Caño Boquerón, Cabo Rojo and Puerto Mosquito, Isla de Vieques, Puerto Rico, July 1, 2015 to July 28, 2016 Application of the North Carolina Stochastic Empirical Loading and Dilution Model (SELDM) to Assess Potential Impacts of Highway Runoff