Caribbean-Florida Water Science Center
Data and Tools
The U.S. Geological Survey operates and maintains approximately 7,300 streamgages nationwide (558 in Florida and 124 in Puerto Rico) which provide long-term, accurate, and unbiased information that meets the needs of many diverse users.
Real-Time Data
NWIS Mapper: FL/PR Precipitation: FL/PR
Streamflow: FL/PR Lake/Reservoir: FL/PR
Groundwater: FL/PR/VI Water Quality: FL/PR
Hydrologic Data
We provide current and historical surface-water, groundwater, water quality, water use, and ecological data in various formats (map, graphical, tabular).
Hydrology Monitoring Tools
Our data and tools are digital information in a format suitable for direct input to software that can analyze its meaning in the scientific, engineering, or business context for which the data were collected.
Water-quality profiles within the Caloosahatchee River and twelve fiberglass tanks, during experimental nutrient addition treatments, 2019
This U.S. Geological Survey (USGS) Data Release provides water-quality data collected from the Caloosahatchee River and 12 fiberglass tanks located within the Caloosahatchee River. The tanks were open to the atmosphere, and were closed to the river. Tanks were filled with native water within 1-2 hours prior to the first profile collected on May 6, July 8, and September 16. Nutrients
Near-Surface Spatial Water-Quality Surveys along the Caloosahatchee River, St. Lucie River and Lake Okeechobee in July and August 2019, south Florida
This U.S. Geological Survey (USGS) Data Release provides spatial water-quality data collected from the Caloosahatchee River, St. Lucie River and Lake Okeechobee July 15-18 and August 19-22 of 2019, south Florida. Geo-referenced measurements of near surface water temperature, specific conductance, dissolved oxygen, pH, turbidity, chlorophyll fluorescence, phycocyanin fluoresce
Data points, corresponding to the bathymetric survey of Lago Carite, Puerto Rico, January 2018
This dataset is a point shapefile containing water-depth points collected during a sedimentation survey of Lago Carite, Puerto Rico. The contours were generated from bathymetric data collected during a sedimentation survey conducted during the period January 23 - January 30, 2018 by the Puerto Rico office of the Caribbean-Florida Water Science Center of the U.S. Geological Survey (USGS).
Reservoir shoreline for the bathymetric survey of Lago Carite, Puerto Rico, January 2018
This dataset is a polygon shapefile containing the reservoir shoreline for the sedimentation survey of Lago Carite, Puerto Rico.This polygon was used to constraint the extent of the Triangulated irregular network (TIN) model and ultimately, to generate contours from bathymetric data collected during the period January 23 - January 30, 2018 by the Puerto Rico office of the Caribbean-Flor
Bathymetric contours of Lago Carite, Puerto Rico, January 2018
This dataset is a polyline shapefile containing bathymetric contours, at 1-meter intervals, of Lago Carite, Puerto Rico. The contours were generated from bathymetric data collected during a sedimentation survey conducted during the period January 23 - January 30, 2018 by the Puerto Rico office of the Caribbean-Florida Water Science Center of the U.S. Geological Survey (USGS). The goal
Data for Bathymetric Survey and Sedimentation Analysis of Lago Carite, Puerto Rico, Juanary 2018
This data release contains spatial data associated with the bathymetric survey and sedimentation analysis of Lago Carite in January 2018. During January 23–30, 2018, the U.S. Geological Survey, in cooperation with the Puerto Rico Electric Power Authority, conducted a bathymetric survey of Lago Carite primarily to update estimates of the contemporary reservoir storage capacity and
Potential Accumulation of Soil Organic Matter from Carbon Cycling within Greater Everglades Cypress and Pine Forested Wetlands data
These data quantify components of the carbon cycle within Big Cypress National Preserve in Florida. Continuous data time-series include net ecosystem exchange of carbon dioxide, lateral advection of water-borne carbon, methanogenesis, and soil bulk density.
Time Series Electromagnetic Induction-Log Datasets, Including Logs Collected through the 2018 Water Year in South Florida
Time series electromagnetic induction-log (TSEMIL) datasets are collected from polyvinyl chloride (PVC) cased or uncased monitoring wells to evaluate changes in water conductivity over time. TSEMIL datasets consist of a series of individual electromagnetic induction logs collected at a frequency of months or years that have been compiled into a dataset by eliminating small uniform offsets
Sedimentation survey data for Lago Guayabal, December 2017
This data release contains spatial data associated with the sedimentation survey of Lago Guayabal conducted during the period December 11- December 14, 2017 by the Puerto Rico office of the Caribbean-Florida Water Science Center (CFWSC) of the U.S. Geological Survey (USGS). The goals of the survey were to determine reservoir infill sedimentation rates, generate a bathymetric map of th
Bathymetric contours of Lago Guayabal, Puerto Rico, December 2017
This dataset is a polyline shapefile containing bathymetric contours, at 1-meter intervals, of Lago Guayabal, Villalba, Puerto Rico. The contours were generated from bathymetric data collected during a sedimentation survey conducted during the period December 11- December 14, 2017 by the Puerto Rico office of the Caribbean-Florida Water Science Center of the U.S. Geological Survey (US
Data points, corresponding to the bathymetric survey of Lago Guayabal, Puerto Rico, December 2017
This dataset is a point shapefile containing water-depth points collected during a sedimention survey of Lago Guayabal conducted during the period December 11- December 14, 2017 by the Puerto Rico office of the Caribbean-Florida Water Science Center of the U.S. Geological Survey (USGS). The goals of the survey were to determine reservoir infill sedimentation rates, generate a bathymetric
Reservoir boundary for the sedimentation survey of Lago Guayabal, December 2017.
This dataset is a polygon shapefile containing reservoir boundary of Lago Guayabal, and represents the contour at the spillway elevation. This polygon was used to constraint the extent of the Triangulated irregular network (TIN) model and ultimately, to generate contours from bathymetric data collected during a sedimentation survey conducted during the period December 11- December 14,