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). The goals of the survey were to determine reservoir infill sedimentation rates, generate a bathymetric map of the reservoir, and create a stage-volume relation. Field techniques used during the survey were similar to those outlined by Soler-López and Carrasquillo-Nieves, (2001) and Wilson and Richards (2006). A total of 137 planned transect lines were surveyed, and over 269,119 water-depth measurements were made across the reservoir. All water-depth data were collected using a Teledyne-Odom Echotrac CVM depth sounder coupled to a Differential Global Positioning System (DGPS). Esri ArcGIS, version 10.5 (reference similar to that in metadata for point shapefile), was used to edit the depth data and create a triangulated irregular network (TIN) model, from which bathymetric contours and a stage-volume relation were generated. References: Soler-López, L.R., and Carrasquillo-Nieves, L.R., 2001, Sedimentation survey of Lago Carite, Puerto Rico, October 1999: U.S. Geological Survey Water-Resources Investigations Report 00–4235, Wilson, G.L., and Richards, J.M., 2006, Procedural Documentation and Accuracy Assessment of Bathymetric Map and Area/Capacity Tables for Small Reservoirs, U.S. Geological Survey-Scientific Investigation Report 2006-5208, 24 p.

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 sedimentation rate. Previously designated transect lines were surveyed by using a depth sounder coupled to a differential geographic positioning system to generate a bottom contour map and, ultimately, the stage-storage relation for Lago Carite. This data release consisted of three items: bathymetric contours, water-depth data points and the shoreline of Lago Carite used for the analysis. A total of 137 planned transect lines were surveyed, and over 269,119 water-depth measurements were made across the reservoir. All water-depth data were collected using a Teledyne-Odom Echotrac CVM depth sounder coupled to a differential Global Positioning System (GPS). Esri ArcGIS, version 10.5 (reference similar to that in metadata for point shapefile), was used to edit the depth data and create a triangulated irregular network (TIN) model, from which bathymetric contours and a stage-volume relation were generated.

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 sedimentation rate. Previously designated transect lines were surveyed by using a depth sounder coupled to a differential geographic positioning system to generate a bottom contour map and, ultimately, the stage-storage relation for Lago Carite. This data release consisted of three items: bathymetric contours, water-depth data points and the shoreline of Lago Carite used for the analysis. A total of 137 planned transect lines were surveyed, and over 269,119 water-depth measurements were made across the reservoir. All water-depth data were collected using a Teledyne-Odom Echotrac CVM depth sounder coupled to a differential Global Positioning System (GPS). Esri ArcGIS, version 10.5 (reference similar to that in metadata for point shapefile), was used to edit the depth data and create a triangulated irregular network (TIN) model, from which bathymetric contours and a stage-volume relation were generated.

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 goals of the survey were to determine reservoir infill sedimentation rates, generate a bathymetric map of the reservoir, and create a stage-volume relation. Field techniques used during the survey were similar to those outlined by Soler-López and Carrasquillo-Nieves, (2001) and Wilson and Richards (2006).A total of 137 planned transect lines were surveyed, and over 269,119 water-depth measurements were made across the reservoir. All water-depth data were collected using a Teledyne-Odom Echotrac CVM depth sounder coupled to a Global Positioning System (GPS). Esri ArcGIS, version 10.5 (reference similar to that in metadata for point shapefile), was used to edit the depth data and create a triangulated irregular network (TIN) model, from which bathymetric contours and a stage-volume relation were generated. References: Soler-López, L.R., and Carrasquillo-Nieves, L.R., 2001, Sedimentation survey of Lago Carite, Puerto Rico, October 1999: U.S. Geological Survey Water-Resources Investigations Report 00–4235, Wilson, G.L., and Richards, J.M., 2006, Procedural Documentation and Accuracy Assessment of Bathymetric Map and Area/Capacity Tables for Small Reservoirs, U.S. Geological Survey-Scientific Investigation Report 2006-5208, 24 p.

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 goals of the survey were to determine reservoir infill sedimentation rates, generate a bathymetric map of the reservoir, and create a stage-volume relation. Field techniques used during the survey were similar to those outlined by Soler-López and Carrasquillo-Nieves, (2001) and Wilson and Richards (2006).A total of 137 planned transect lines were surveyed, and over 269,119 water-depth measurements were made across the reservoir. All water-depth data were collected using a Teledyne-Odom Echotrac CVM depth sounder coupled to a Global Positioning System (GPS). Esri ArcGIS, version 10.5 (reference similar to that in metadata for point shapefile), was used to edit the depth data and create a triangulated irregular network (TIN) model, from which bathymetric contours and a stage-volume relation were generated. References: Soler-López, L.R., and Carrasquillo-Nieves, L.R., 2001, Sedimentation survey of Lago Carite, Puerto Rico, October 1999: U.S. Geological Survey Water-Resources Investigations Report 00–4235, Wilson, G.L., and Richards, J.M., 2006, Procedural Documentation and Accuracy Assessment of Bathymetric Map and Area/Capacity Tables for Small Reservoirs, U.S. Geological Survey-Scientific Investigation Report 2006-5208, 24 p.

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-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 map of the reservoir, and create a stage-volume relation. Field techniques used during the survey were similar to those outlined by Soler-López and Carrasquillo-Nieves, (2001) and Wilson and Richards (2006). A total of 137 planned transect lines were surveyed, and over 269,119 water-depth measurements were made across the reservoir. All water-depth data were collected using a Teledyne-Odom Echotrac CVM depth sounder coupled to a Global Positioning System (GPS). Esri ArcGIS, version 10.5 (reference similar to that in metadata for point shapefile), was used to edit the depth data and create a triangulated irregular network (TIN) model, from which bathymetric contours and a stage-volume relation were generated. References: Soler-López, L.R., and Carrasquillo-Nieves, L.R., 2001, Sedimentation survey of Lago Carite, Puerto Rico, October 1999: U.S. Geological Survey Water-Resources Investigations Report 00–4235, Wilson, G.L., and Richards, J.M., 2006, Procedural Documentation and Accuracy Assessment of Bathymetric Map and Area/Capacity Tables for Small Reservoirs, U.S. Geological Survey-Scientific Investigation Report 2006-5208, 24 p.

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-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 map of the reservoir, and create a stage-volume relation. Field techniques used during the survey were similar to those outlined by Soler-López and Carrasquillo-Nieves, (2001) and Wilson and Richards (2006). A total of 137 planned transect lines were surveyed, and over 269,119 water-depth measurements were made across the reservoir. All water-depth data were collected using a Teledyne-Odom Echotrac CVM depth sounder coupled to a Global Positioning System (GPS). Esri ArcGIS, version 10.5 (reference similar to that in metadata for point shapefile), was used to edit the depth data and create a triangulated irregular network (TIN) model, from which bathymetric contours and a stage-volume relation were generated. References: Soler-López, L.R., and Carrasquillo-Nieves, L.R., 2001, Sedimentation survey of Lago Carite, Puerto Rico, October 1999: U.S. Geological Survey Water-Resources Investigations Report 00–4235, Wilson, G.L., and Richards, J.M., 2006, Procedural Documentation and Accuracy Assessment of Bathymetric Map and Area/Capacity Tables for Small Reservoirs, U.S. Geological Survey-Scientific Investigation Report 2006-5208, 24 p.

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 map of the reservoir, and create a stage-volume relation. More than 270,000 water-depth points were surveyed along 60 navigation lines used in previous sedimentation surveys (Soler-Lopez, 2003, 2007, 2008). All water-depth data were collected using a Teledyne-Odom Echotrac CVM depth sounder coupled to a Global Positioning System (GPS). Esri ArcGIS software, version 10.5 (Environmental Systems Research Institute, 2017), was used to edit the depth data and create a triangulated irregular network (TIN) model, from which bathymetric contours and a stage-volume relation were generated.

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 map of the reservoir, and create a stage-volume relation. More than 270,000 water-depth points were surveyed along 60 navigation lines used in previous sedimentation surveys (Soler-Lopez, 2003, 2007, 2008). All water-depth data were collected using a Teledyne-Odom Echotrac CVM depth sounder coupled to a Global Positioning System (GPS). Esri ArcGIS software, version 10.5 (Environmental Systems Research Institute, 2017), was used to edit the depth data and create a triangulated irregular network (TIN) model, from which bathymetric contours and a stage-volume relation were generated.

This dataset contains the data points collected during the bathymetric survey of Lago Caonillas between September and November 2012 by U.S. Geological Survey. The 2012 bathymetric survey was conducted using a bathymetric/land survey system, consisting of a global positioning system (GPS) coupled to a digital depth sounder. A total of 155 survey navigation lines were established at 50 meter (m) intervals, beginning at the dam and continuing upstream along the river branches of the reservoir. Geographic position (accuracy of less than 2 m) and water depths (accuracy of 2 centimeters [cm] ±1 percent of the measured depth) were acquired simultaneously using the GPS interfaced to the depth sounder. The fathometer was calibrated prior to each day of survey by using a bar check. Data points collected on September 2012 for Lago Caonillas were adjusted to represent depth relative to the spillway elevation (251.76 meters above mean sea level). However, data collected during November 2012 was not adjusted since the water elevation at the reservoir was at the crest of the spillway structure. The reservoir pool elevation was monitored at the continuous recording USGS lake-level monitoring station 50026140 Lago Caonillas at damsite near Utuado, Puerto Rico. Lago Caonillas is owned and operated by the Puerto Rico Electric Power Authority (PREPA) since 1996. Because of the importance of Lago Caonillas to the North Coast Superaqueduct, the U.S. Geological Survey (USGS), in cooperation with PRASA, conducted a sedimentation survey of Lago Caonillas between September and November 2012 to update estimates of the reservoir’s storage capacity.