The U.S. Geological Survey (USGS), in cooperation with the Puerto Rico Environmental Quality Board, has compiled a series of geospatial datasets for Puerto Rico to be implemented into the USGS StreamStats application (https://streamstats.usgs.gov/ss/). These geospatial datasets, along with basin characteristics datasets for Puerto Rico published as a separate USGS data release (https://doi.org/10.5066/P9HK9SSQ), were used to delineate watersheds and develop the peak-flow and low-flow regression equations used by StreamStats. The geospatial dataset described herein are watershed catchment rasters at a 10-m resolution. The catchment raster assigns a number to each pixel that is unique for each catchment and corresponds to the value of the stream segment that drains that area. Data are partitioned into four TIFF files, one for each of the four 8-digit Hydrologic Unit Code (HUC) areas for Puerto Rico: 21010002, 21010003, 21010004, and 21010005.

The U.S. Geological Survey (USGS), in cooperation with the Puerto Rico Environmental Quality Board, has compiled a series of geospatial datasets for Puerto Rico to be implemented into the USGS StreamStats application (https://streamstats.usgs.gov/ss/). These geospatial datasets, along with basin characteristics datasets for Puerto Rico published as a separate USGS data release (https://doi.org/10.5066/P9HK9SSQ), were used to delineate watersheds and develop the peak-flow and low-flow regression equations used by StreamStats. The geospatial dataset described herein are the sink point grid rasters at a 10-m resolution, which are raster representations of the sink points. The value of 1 is assigned to pixels that are sinks. Data are partitioned into three TIFF files, for three of the four 8-digit Hydrologic Unit Code (HUC) areas for Puerto Rico: 21010002, 21010004, and 21010005. A sink point grid raster was not generated for HUC 21010003 because sinks were not present in this HUC area.

The U.S. Geological Survey (USGS), in cooperation with the Puerto Rico Environmental Quality Board, has compiled a series of geospatial datasets for Puerto Rico to be implemented into the USGS StreamStats application (https://streamstats.usgs.gov/ss/). These geospatial datasets, along with basin characteristics datasets for Puerto Rico published as a separate USGS data release (https://doi.org/10.5066/P9HK9SSQ), were used to delineate watersheds and develop the peak-flow and low-flow regression equations used by StreamStats. The geospatial dataset described herein are the stream definition rasters with a 900 stream cell threshold at a 10-m resolution. The flow accumulation grid is used as input to create this dense stream grid. This requires a flow accumulation of 900 pixels or greater to initiate a stream channel. A value of 1 is assigned for all of the cells equal or greater than the threshold and no data for all other cells. Data are partitioned into four TIFF files, one for each of the four 8-digit Hydrologic Unit Code (HUC) areas for Puerto Rico: 21010002, 21010003, 21010004, and 21010005.

The U.S. Geological Survey (USGS), in cooperation with the Puerto Rico Environmental Quality Board, has compiled a series of geospatial datasets for Puerto Rico to be implemented into the USGS StreamStats application (https://streamstats.usgs.gov/ss/). These geospatial datasets, along with basin characteristics datasets for Puerto Rico published as a separate USGS data release (https://doi.org/10.5066/P9HK9SSQ), were used to delineate watersheds and develop the peak-flow and low-flow regression equations used by StreamStats.

The U.S. Geological Survey (USGS), in cooperation with the Louisiana Department of Transportation, prepared hydro-conditioned geographic information systems (GIS) layers for use in the Louisiana StreamStats application. These data were used within peak flow and low flow regression equations for Louisiana. This dataset consists of digital elevation model rasters for each 8-digit Hydrologic Unit Code (HUC) area in Louisiana, one of the layer types needed to delineate watersheds within the HUC-8 areas, merged into a single dataset. The 54 HUCs represented by this dataset are 03180004, 03180005, 08030100, 08040202, 08040205, 08040206, 08040207, 08040301, 08040302, 08040303, 08040304, 08040305, 08040306, 08050001, 08050002, 08050003, 08060100, 08070100, 08070201, 08070202, 08070203, 08070204, 08070205, 08070300, 08080101, 08080102, 08080103, 08080201, 08080202, 08080203, 08080204, 08080205, 08080206, 08090100, 08090201, 08090202, 08090203, 08090301, 08090302, 11140201, 11140202, 11140203, 11140204, 11140205, 11140206, 11140207, 11140208, 11140209, 11140304, 11140306, 12010002, 12010004, 12010005, and 12040201.

Metadata for this geodatabase describe datasets included in the bathymetric study completed for Lago Patillas in August 2019. The U.S. Geological Survey, in cooperation with the Puerto Rico Electric Power Authority, carried out a bathymetric survey to update stage-volume table for Lago Patillas and to generate a bathymetric map. Water-depth data were collected using a bathymetric data collection system coupling a digital depth sounder (single-beam fathometer) and a high-quality antenna. Raw water-depth data collected in August 2019 were referenced to the water-surface elevation at the time of the reservoir survey and were merged with light detection and ranging (lidar) cloud data collected in 2016–17. The dataset included in this geodatabase consists of the following: (1) data points (XYZ) collected in the 2019 bathymetric survey through a fathometer and graduated hand-held rod measurements; (2) 2016–17 lidar-cloud data; (3) boundary of Lago Patillas at an elevation of 67.55 meters above the Puerto Rico Vertical Datum of 2002; (4) a digital terrain model created from data stored in the geodatabase; and, (5) a stage-volume table calculated at 1.0-meter stage intervals from the terrain model.

Rapid population growth and declining annual recharge to aquifers in the upper Santa Cruz basin area of southern Arizona, has increased the demand for additional groundwater resources. This demand is predicted to escalate in the future due to higher temperatures, longer droughts, less aquifer recharge, and decreased river and stream base flow. We conducted geologic studies to help evaluate and better understand groundwater resources in the basin. Results of these studies are presented in this report, which summarizes the basin geologic framework and hydrogeology, and presents a 3-D hydrogeologic model for the Rio Rico and Nogales 7.5’ quadrangles. Three major hydrogeologic units are displayed in the 3-D model; a lower basement confining unit, consisting of Jurassic, Cretaceous, and Tertiary (Paleocene and Oligocene) rocks; a middle unit composed entirely of the Miocene Nogales Formation; and an upper unit consisting of late Miocene to Holocene surficial deposits. The Nogales Formation and the Late Miocene to Holocene sediments are the main aquifers in the Santa Cruz basin. The 3-D model integrates the hydrogeologic units and structural features to define the geometry, structure, and thickness of the aquifer system that provides water to Nogales and surrounding communities of southernmost Arizona. The report includes an EarthVision 3D Viewer, consisting of software enabling viewing data interactively in three-dimensional space, in order to help understand the internal complexities of the basin geometry, structure, stratigraphy, and hydrology. The 3-D model is a synthesis of geologic data from geologic maps, cross sections, and lithologic descriptions and interpretations, and geophysical data including gravity, magnetic data, and airborne electromagnetic data.

These raster data represent spatially distributed elevation values in the Nevada StreamStats study area for the period of 2024.

This dataset provides watershed delineations for 1,703 U.S. Geological Survey (USGS) streamgaging stations (gages) for geospatial statistical study of peak streamflows in and near Texas. These streamgaging stations are in Texas, Oklahoma, and New Mexico (east of the Great Continental Divide) with some of the watersheds associated with the 1,703 streamgaging stations extending into several surrounding states or into Mexico. Watershed characteristics are indexed by using the National Hydrography Dataset (NHD) version 2.2.1 Indexing was accomplished by using the Permanent Identifier (PERMID; a string that uniquely identifies each feature in the NHD) and by using the USGS identification number for the streamgaging station (gage). The following watershed characteristics are included: watershed centroid, area, perimeter, basin shape index, sinuosity, drainage area, contributing drainage area, functional drainage area, summed values per watershed from the National Inventory of Dams (NID), mean watershed slope, main-channel slope, 10-85 slope, streamgaging station point elevation, mean elevation per watershed, mean annual precipitation per streamgaging station, mean annual and monthly precipitation per watershed, mean annual and monthly solar radiation per streamgaging station, mean annual and monthly solar radiation per watershed, hydrologic soil groups per watershed, land cover per watershed, and multi order hydrologic position of streamgaging stations and stream segments. The watershed characteristics in this dataset are used to describe the point at the USGS streamgaging station, the full watershed that defines each site, and the main channel segment of each watershed.

The U.S. Geological Survey (USGS), in cooperation with the Louisiana Department of Transportation, prepared hydro-conditioned geographic information systems (GIS) layers for use in the Louisiana StreamStats application. These data were used within peak flow and low flow regression equations for Louisiana. This dataset consists of flow accumulation rasters for each 8-digit Hydrologic Unit Code (HUC) area in Louisiana, one of the layer types needed to delineate watersheds within the HUC-8 areas, merged into a single dataset. The 54 HUCs represented by this dataset are 03180004, 03180005, 08030100, 08040202, 08040205, 08040206, 08040207, 08040301, 08040302, 08040303, 08040304, 08040305, 08040306, 08050001, 08050002, 08050003, 08060100, 08070100, 08070201, 08070202, 08070203, 08070204, 08070205, 08070300, 08080101, 08080102, 08080103, 08080201, 08080202, 08080203, 08080204, 08080205, 08080206, 08090100, 08090201, 08090202, 08090203, 08090301, 08090302, 11140201, 11140202, 11140203, 11140204, 11140205, 11140206, 11140207, 11140208, 11140209, 11140304, 11140306, 12010002, 12010004, 12010005, and 12040201.