Skip to main content
USGS - science for a changing world
Advanced Search

Filters: Tags: Miami-Dade County (X)

110 results (61ms)   

Filters
View Results as: JSON ATOM CSV
thumbnail
The data set consists of time, depth, reflection coefficient synthetic, sonic velocity, density, and amplitude used to create synthetic seismogram - City of Hollywood Utility, G-2961, (HOL-IW1), Broward County, Florida.
thumbnail
Layered geospatial PDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features. This map is derived from GIS (geospatial information system) data. It represents a repackaging of GIS data in traditional map form, not creation of new information. The geospatial data in this map are from selected National Map data holdings and other government sources.
thumbnail
Layered geospatial PDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features. This map is derived from GIS (geospatial information system) data. It represents a repackaging of GIS data in traditional map form, not creation of new information. The geospatial data in this map are from selected National Map data holdings and other government sources.
thumbnail
Statistical analyses and maps representing mean, high, and low water-level conditions in the surface water and groundwater of Miami-Dade County were made by the U.S. Geological Survey, in cooperation with the Miami-Dade County Department of Regulatory and Economic Resources, to help inform decisions necessary for urban planning and development. Sixteen maps were created that show contours of (1) the mean of daily water levels at each site during October and May for the 2000-2009 water years; (2) the 25th, 50th, and 75th percentiles of the daily water levels at each site during October and May and for all months during 2000-2009; and (3) the differences between mean October and May water levels, as well as the differences...
thumbnail
Data pertaining to mapping the approximate inland extent of saltwater at the base of the Biscayne Aquifer in the Model Land Area of Miami-Dade County, Florida in 2016. The inland extent of saltwater at the base of the Biscayne aquifer in the Model Land area of Miami-Dade County, Florida, was last mapped in 2011. Since that time, the saltwater interface has continued to move inland. The interface is near several active well fields; therefore, an updated approximation of the inland extent of saltwater and an improved understanding of the rate of movement of the saltwater interface are necessary. A geographic information system was used to create a map using the data collected by the organizations that monitor water...
thumbnail
The Watershed Boundary Dataset (WBD) is a comprehensive aggregated collection of hydrologic unit data consistent with the national criteria for delineation and resolution. It defines the areal extent of surface water drainage to a point except in coastal or lake front areas where there could be multiple outlets as stated by the "Federal Standards and Procedures for the National Watershed Boundary Dataset (WBD)" "Standard" (https://pubs.usgs.gov/tm/11/a3/). Watershed boundaries are determined solely upon science-based hydrologic principles, not favoring any administrative boundaries or special projects, nor particular program or agency. This dataset represents the hydrologic unit boundaries to the 12-digit (6th level)...
Tags: 10-digit, 12-digit, 14-digit, 16-digit, 2-digit, All tags...
thumbnail
Layered geospatial PDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features. This map is derived from GIS (geospatial information system) data. It represents a repackaging of GIS data in traditional map form, not creation of new information. The geospatial data in this map are from selected National Map data holdings and other government sources.
thumbnail
The data set consists of time, depth, reflection coefficient synthetic, sonic velocity, density, and amplitude used to create synthetic seismogram - Deerfield Beach BHC, G-2968, Broward County, Florida.
thumbnail
The data set consists of time, depth, reflection coefficient synthetic, sonic velocity, density, and amplitude used to create synthetic seismogram - City of Sunrise Utility, SUN-I3, Broward County, Florida.
thumbnail
The data set consists of time, depth, reflection coefficient synthetic, sonic velocity, density, and amplitude used to create synthetic seismogram - City of Sunrise Utility, G-2981, Broward County, Florida.
thumbnail
The maximum, and 80th, 90th, and 96th percentiles of the annual maximums of daily water levels recorded at monitoring sites in and near Miami-Dade County, Florida, during the 1974-2009 water years. [≥, greater than or equal to; %, percent; GW, groundwater; NPS, National Park Service; SFWMD, South Florida Water Management District; USGS, U.S. Geological Survey. All data adjusted to the North American Vertical Datum of 1988. Latitude and longitude are in decimal degrees]
thumbnail
Statistical analyses and maps representing mean, high, and low water-level conditions in the surface water and groundwater of Miami-Dade County were made by the U.S. Geological Survey, in cooperation with the Miami-Dade County Department of Regulatory and Economic Resources, to help inform decisions necessary for urban planning and development. Sixteen maps were created that show contours of (1) the mean of daily water levels at each site during October and May for the 2000-2009 water years; (2) the 25th, 50th, and 75th percentiles of the daily water levels at each site during October and May and for all months during 2000-2009; and (3) the differences between mean October and May water levels, as well as the differences...
thumbnail
Statistical analyses and maps representing mean, high, and low water-level conditions in the surface water and groundwater of Miami-Dade County were made by the U.S. Geological Survey, in cooperation with the Miami-Dade County Department of Regulatory and Economic Resources, to help inform decisions necessary for urban planning and development. Sixteen maps were created that show contours of (1) the mean of daily water levels at each site during October and May for the 2000-2009 water years; (2) the 25th, 50th, and 75th percentiles of the daily water levels at each site during October and May and for all months during 2000-2009; and (3) the differences between mean October and May water levels, as well as the differences...
thumbnail
This is a collection of data on the contamination of water, fish, and sediments in Biscayne National Park and in canals that discharge into the national park. The water data are estimations of their concentrations in water based on sampling with passive water samplers (semi-permeable membrane devices and polar organic chemical integrative samplers). Also in this data set are estrogen equivalencies for the chemical mixtures in the polar organic chemical integrative samplers.
thumbnail
Layered geospatial PDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features. This map is derived from GIS (geospatial information system) data. It represents a repackaging of GIS data in traditional map form, not creation of new information. The geospatial data in this map are from selected National Map data holdings and other government sources.
thumbnail
Layered geospatial PDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features. This map is derived from GIS (geospatial information system) data. It represents a repackaging of GIS data in traditional map form, not creation of new information. The geospatial data in this map are from selected National Map data holdings and other government sources.
thumbnail
Layered geospatial PDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features. This map is derived from GIS (geospatial information system) data. It represents a repackaging of GIS data in traditional map form, not creation of new information. The geospatial data in this map are from selected National Map data holdings and other government sources.
thumbnail
Layered geospatial PDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features. This map is derived from GIS (geospatial information system) data. It represents a repackaging of GIS data in traditional map form, not creation of new information. The geospatial data in this map are from selected National Map data holdings and other government sources.


map background search result map search result map Table 4-1 Map 03 Map 15 Map 01 Baseline aquatic contamination and endocrine status in a resident fish of Biscayne National Park Data Pertaining to Mapping the Approximate Inland Extent of Saltwater at the Base of the Biscayne Aquifer in the Model Land Area of Miami-Dade County, Florida, 2016 G-2946 : Synthetic Seismogram Data for Correlation Between Seismic-Reflection Profiles and Well Data, Broward County, Florida G-2968 : Synthetic Seismogram Data for Correlation Between Seismic-Reflection Profiles and Well Data, Broward County, Florida G-2961 (HOL-IW1) : Synthetic Seismogram Data for Correlation Between Seismic-Reflection Profiles and Well Data, Broward County, Florida G-3805 : Synthetic Seismogram Data for Correlation Between Seismic-Reflection Profiles and Well Data, Broward County, Florida SUN-I3 : Synthetic Seismogram Data for Correlation Between Seismic-Reflection Profiles and Well Data, Broward County, Florida G-2981 : Synthetic Seismogram Data for Correlation Between Seismic-Reflection Profiles and Well Data, Broward County, Florida USGS Watershed Boundary Dataset (WBD) for 2-digit Hydrologic Unit - 03 (published 20190628) USGS US Topo 7.5-minute map for Chekika Island, FL 2018 USGS US Topo 7.5-minute map for Long Pine Key, FL 2018 USGS US Topo 7.5-minute map for Mahogany Hammock, FL 2018 USGS US Topo 7.5-minute map for North of Fortymile Bend, FL 2018 USGS US Topo 7.5-minute map for Panther Mound, FL 2018 USGS US Topo 7.5-minute map for South of Coopertown, FL 2018 USGS US Topo 7.5-minute map for Taylor Slough, FL 2018 USGS US Topo 7.5-minute map for Chekika Island, FL 2018 USGS US Topo 7.5-minute map for Long Pine Key, FL 2018 USGS US Topo 7.5-minute map for Mahogany Hammock, FL 2018 USGS US Topo 7.5-minute map for North of Fortymile Bend, FL 2018 USGS US Topo 7.5-minute map for Panther Mound, FL 2018 USGS US Topo 7.5-minute map for South of Coopertown, FL 2018 USGS US Topo 7.5-minute map for Taylor Slough, FL 2018 Data Pertaining to Mapping the Approximate Inland Extent of Saltwater at the Base of the Biscayne Aquifer in the Model Land Area of Miami-Dade County, Florida, 2016 Baseline aquatic contamination and endocrine status in a resident fish of Biscayne National Park G-2946 : Synthetic Seismogram Data for Correlation Between Seismic-Reflection Profiles and Well Data, Broward County, Florida G-2968 : Synthetic Seismogram Data for Correlation Between Seismic-Reflection Profiles and Well Data, Broward County, Florida G-2961 (HOL-IW1) : Synthetic Seismogram Data for Correlation Between Seismic-Reflection Profiles and Well Data, Broward County, Florida G-3805 : Synthetic Seismogram Data for Correlation Between Seismic-Reflection Profiles and Well Data, Broward County, Florida SUN-I3 : Synthetic Seismogram Data for Correlation Between Seismic-Reflection Profiles and Well Data, Broward County, Florida G-2981 : Synthetic Seismogram Data for Correlation Between Seismic-Reflection Profiles and Well Data, Broward County, Florida Map 01 Map 03 Map 15 Table 4-1 USGS Watershed Boundary Dataset (WBD) for 2-digit Hydrologic Unit - 03 (published 20190628)