SabLa

The dataset folder entitled “SabLa” holds data structures consisting of statistical predictions of daily salinity time series for the Sabine Lake (SabLa) group, generated from the makESTUSAL software repository described by Asquith and others (2023b). The statistical methods included multiple methods of machine learning, which produced the daily salinity prediction and attendant credible uncertainties included in the data release. The geographic scope of the SabLa group includes the predictions for two locations defined using agency code and salinity site abbreviations.

Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Estuary, Gulf of Mexico, Gulf of Mexico, Modeling, Sabine Lake, All tags... Salinity, Fewer tags

FloCo

The dataset folder entitled “FloCo” holds data structures consisting of statistical predictions of daily salinity time series for the North Florida Gulf Coast (FloCo) group, generated from the makESTUSAL software repository described by Asquith and others (2023b). The statistical methods included multiple methods of machine learning, which produced the daily salinity prediction and attendant credible uncertainties included in the data release. The geographic scope of the FloCo group includes the predictions for ten locations defined using agency code and salinity site abbreviations.

Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Estuary, Gulf of Mexico, Gulf of Mexico, Modeling, North Florida Gulf Coast, All tags... Salinity, Fewer tags

MissS

The dataset folder entitled “MissS” holds data structures consisting of statistical predictions of daily salinity time series for the Mississippi Sound (MissS) group, generated from the makESTUSAL software repository described by Asquith and others (2023b). The statistical methods included multiple methods of machine learning, which produced the daily salinity prediction and attendant credible uncertainties included in the data release. The geographic scope of the MissS group includes the predictions for eighteen locations defined using agency code and salinity site abbreviations.

Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Estuary, Gulf of Mexico, Gulf of Mexico, Mississippi Sound, Modeling, All tags... Salinity, Fewer tags

GalBa

The dataset folder entitled “GalBa” holds data structures consisting of statistical predictions of daily salinity time series for the Galveston Bay (GalBa) group, generated from the makESTUSAL software repository described by Asquith and others (2023b). The statistical methods included multiple methods of machine learning, which produced the daily salinity prediction and attendant credible uncertainties included in the data release. The geographic scope of the GalBa group includes the predictions for eight locations defined using agency code and salinity site abbreviations.

Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Estuary, Galveston Bay, Gulf of Mexico, Gulf of Mexico, Modeling, All tags... Salinity, Fewer tags

RookB

The dataset folder entitled “RookB” holds data structures consisting of statistical predictions of daily salinity time series for the Rookery Bay (RookB) group, generated from the makESTUSAL software repository described by Asquith and others (2023b). The statistical methods included multiple methods of machine learning, which produced the daily salinity prediction and attendant credible uncertainties included in the data release. The geographic scope of the RookB group includes the predictions for three locations defined using agency code and salinity site abbreviations.

Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Estuary, Gulf of Mexico, Gulf of Mexico, Modeling, Rookery Bay, All tags... Salinity, Fewer tags

LagMa

The dataset folder entitled “LagMa” holds data structures consisting of statistical predictions of daily salinity time series for the Laguna Madre (LagMa) group, generated from the makESTUSAL software repository described by Asquith and others (2023b). The statistical methods included multiple methods of machine learning, which produced the daily salinity prediction and attendant credible uncertainties included in the data release. The geographic scope of the LagMa group includes the predictions for three locations defined using agency code and salinity site abbreviations.

Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Estuary, Gulf of Mexico, Gulf of Mexico, Laguna Madre, Modeling, All tags... Salinity, Fewer tags

PanHa

The dataset folder entitled “PanHa” holds data structures consisting of statistical predictions of daily salinity time series for the Florida Panhandle (PanHa) group, generated from the makESTUSAL software repository described by Asquith and others (2023b). The statistical methods included multiple methods of machine learning, which produced the daily salinity prediction and attendant credible uncertainties included in the data release. The geographic scope of the PanHa group includes the predictions for four locations defined using agency code and salinity site abbreviations.

Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Estuary, Florida Panhandle, Gulf of Mexico, Gulf of Mexico, Modeling, All tags... Salinity, Fewer tags

Geospatial data of watershed characteristics for select U.S. Geological Survey streamgaging stations in New Mexico, Oklahoma, and Texas useful for statistical study of annual peak streamflows in and near Texas

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...

Tags: Geography, Hydrology, Land Use Change, MOHP, New Mexico, All tags... New Mexico, Oklahoma, Oklahoma, Soil Sciences, Texas, Texas, USGS Science Data Catalog (SDC), Water Resources, generalized skew, hydrologic soil group, hydrology, land cover, skew, slope, solar radiation, streamflow, streamgaging station, watershed, Fewer tags

TamBa

The dataset folder entitled “TamBa” holds data structures consisting of statistical predictions of daily salinity time series for the Tampa Bay-Port Charlotte (TamBa) group, generated from the makESTUSAL software repository described by Asquith and others (2023b). The statistical methods included multiple methods of machine learning, which produced the daily salinity prediction and attendant credible uncertainties included in the data release. The geographic scope of the TamBa group includes the predictions for six locations defined using agency code and salinity site abbreviations.

Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Estuary, Gulf of Mexico, Gulf of Mexico, Modeling, Port Charlotte, All tags... Salinity, Tampa Bay, Fewer tags

Long-term trends in reservoir water quality and quantity in two major river basins of the southern Great Plains

Abstract (from http://www.tandfonline.com/doi/full/10.1080/10402381.2015.1074324): Trends in water quality and quantity were assessed for 11 major reservoirs of the Brazos and Colorado river basins in the southern Great Plains (maximum period of record, 1965–2010). Water quality, major contributing-stream inflow, storage, local precipitation, and basin-wide total water withdrawals were analyzed. Inflow and storage decreased and total phosphorus increased in most reservoirs. The overall, warmest-, or coldest-monthly temperatures increased in 7 reservoirs, decreased in 1 reservoir, and did not significantly change in 3 reservoirs. The most common monotonic trend in salinity-related variables (specific conductance,...

Categories: Publication; Types: Citation; Tags: National CASC, Rivers, Streams and Lakes, Water, Coasts and Ice, inflow, precipitation, All tags... reservoir storage, southern Great Plains, temperature, water quality, Fewer tags

CorBa

The dataset folder entitled “CorBa” holds data structures consisting of statistical predictions of daily salinity time series for the Corpus Christi Bay (CorBa) group, generated from the makESTUSAL software repository described by Asquith and others (2023b). The statistical methods included multiple methods of machine learning, which produced the daily salinity prediction and attendant credible uncertainties included in the data release. The geographic scope of the CorBa group includes the predictions for five locations defined using agency code and salinity site abbreviations.

Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Corpus Christi Bay, Estuary, Gulf of Mexico, Gulf of Mexico, Modeling, All tags... Salinity, Fewer tags

AraBa

The dataset folder entitled “AraBa” holds data structures consisting of statistical predictions of daily salinity time series for the Aransas Bay (AraBa) group, generated from the makESTUSAL software repository described by Asquith and others (2023b). The statistical methods included multiple methods of machine learning, which produced the daily salinity prediction and attendant credible uncertainties included in the data release. The geographic scope of the AraBa group includes the predictions for three locations defined using agency code and salinity site abbreviations.

Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Aransas Bay, Estuary, Gulf of Mexico, Gulf of Mexico, Modeling, All tags... Salinity, Fewer tags

MissR

The dataset folder entitled “MissR” holds data structures consisting of statistical predictions of daily salinity time series for the Mississippi River (MissR) group, generated from the makESTUSAL software repository described by Asquith and others (2023b). The statistical methods included multiple methods of machine learning, which produced the daily salinity prediction and attendant credible uncertainties included in the data release. The geographic scope of the MissR group includes the predictions for thirteen locations defined using agency code and salinity site abbreviations.

Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Estuary, Gulf of Mexico, Gulf of Mexico, Mississippi River, Modeling, All tags... Salinity, Fewer tags

CalLa

The dataset folder entitled “CalLa” holds data structures consisting of statistical predictions of daily salinity time series for the Calcasieu Lake (CalLa) group, generated from the makESTUSAL software repository described by Asquith and others (2023b). The statistical methods included multiple methods of machine learning, which produced the daily salinity prediction and attendant credible uncertainties included in the data release. The geographic scope of the CalLa group includes the predictions for three locations defined using agency code and salinity site abbreviations.

Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Calcasieu Lake, Estuary, Gulf of Mexico, Gulf of Mexico, Modeling, All tags... Salinity, Fewer tags

VerBa

The dataset folder entitled “VerBa” holds data structures consisting of statistical predictions of daily salinity time series for the Vermillion Bay (VerBa) group, generated from the makESTUSAL software repository described by Asquith and others (2023b). The statistical methods included multiple methods of machine learning, which produced the daily salinity prediction and attendant credible uncertainties included in the data release. The geographic scope of the VerBa group includes the predictions for one location defined using agency code and salinity site abbreviations.

Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Estuary, Gulf of Mexico, Gulf of Mexico, Modeling, Salinity, All tags... Vermillion Bay, Fewer tags

MatLa

The dataset folder entitled “MatLa” holds data structures consisting of statistical predictions of daily salinity time series for the Matagorda-Lavaca Bay (MatLa) group, generated from the makESTUSAL software repository described by Asquith and others (2023b). The statistical methods included multiple methods of machine learning, which produced the daily salinity prediction and attendant credible uncertainties included in the data release. The geographic scope of the MatLa group includes the predictions for seven locations defined using agency code and salinity site abbreviations.

Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Estuary, Gulf of Mexico, Gulf of Mexico, Matagorda-Lavaca Bay, Modeling, All tags... Salinity, Fewer tags

SanAn

The dataset folder entitled “SanAn” holds data structures consisting of statistical predictions of daily salinity time series for the San Antonio Bay (SanAn) group, generated from the makESTUSAL software repository described by Asquith and others (2023b). The statistical methods included multiple methods of machine learning, which produced the daily salinity prediction and attendant credible uncertainties included in the data release. The geographic scope of the SanAn group includes the predictions for five locations defined using agency code and salinity site abbreviations.

Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Estuary, Gulf of Mexico, Gulf of Mexico, Modeling, Salinity, All tags... San Antonio Bay, Fewer tags