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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.
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The Nacatoch Sand in southwestern Arkansas, hereafter referred to as the Nacatoch aquifer, is a source of groundwater for agricultural, domestic, industrial, and public use in Clark, Hempstead, Little River, Miller, and Nevada counties. Water-level altitudes measured in 39 wells completed in the Nacatoch aquifer were used to create a potentiometric-surface map. Groundwater flow direction is towards the south and southeast in Hempstead, Little River, and Nevada Counties in southwestern Arkansas. A possible cone of depression may exist in southern Clark County and likely alters groundwater flow from a regional direction toward the depression. This shapefile depicts the generalized study area of the Southwest Nacatoch...
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The Tokio Formation in southwestern Arkansas, hereafter referred to as the Tokio aquifer, is a source of groundwater for agricultural, domestic, industrial, and public use in Clark, Hempstead, Little River, Miller, Nevada, and Pike counties. Water-level altitudes measured 42 wells completed in the Tokio aquifer during 2014 and 2015 were used to create a potentiometric-surface map. In southwestern Arkansas, potentiometric surfaces indicate that groundwater flow in the Tokio aquifer is towards the city of Hope. Northwest of the city of Hope, a cone of depression may exist. In southwestern Pike, northwestern Nevada, and northeastern Hempstead Counties, an area of artesian flow (water levels are at or above land surface)...
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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.
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The Nacatoch Sand in southwestern Arkansas, hereafter referred to as the Nacatoch aquifer, is a source of groundwater for agricultural, domestic, industrial, and public use inClark, Hempstead, Little River, Miller and Nevada counties. Water-level altitudes measured in 39 wells completed in the Nacatoch aquifer were used to create a potentiometric-surface map. Groundwater flow direction is towards the south and southeast in Hempstead, Little River, and Nevada Counties in southwestern Arkansas. A possible cone of depression may exist in southern Clark County and likely alters groundwater flow from a regional direction toward the depression. This shapefile depicts the generalized extent of the Southwest Nacatoch aquifer.
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The Tokio Formation in southwestern Arkansas, hereafter referred to as the Tokio aquifer, is a source of groundwater for agricultural, domestic, industrial, and public use in Clark, Hempstead, Little River, Miller, Nevada, and Pike counties. Water-level altitudes measured 42 wells completed in the Tokio aquifer during 2014 and 2015 were used to create a potentiometric-surface map. In southwestern Arkansas, potentiometric surfaces indicate that groundwater flow in the Tokio aquifer is towards the city of Hope. Northwest of the city of Hope, a cone of depression may exist. In southwestern Pike, northwestern Nevada, and northeastern Hempstead Counties, an area of artesian flow (water levels are at or above land surface)...
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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.
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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.
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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.
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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.
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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.
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The Tokio Formation in southwestern Arkansas, hereafter referred to as the Tokio aquifer, is a source of groundwater for agricultural, domestic, industrial, and public use in Clark, Hempstead, Little River, Miller, Pike, and Nevada counties. Water-level altitudes measured 42 wells completed in the Tokio aquifer during 2014 and 2015 were used to create a potentiometric-surface map. In southwestern Arkansas, potentiometric surfaces indicate that groundwater flow in the Tokio aquifer is towards the city of Hope. Northwest of the city of Hope, a cone of depression may exist. In southwestern Pike, northwestern Nevada, and northeastern Hempstead Counties, an area of artesian flow (water levels are at or above land surface)...
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The Tokio Formation in southwestern Arkansas, hereafter referred to as the Tokio aquifer, is a source of groundwater for agricultural, domestic, industrial, and public use in Clark, Hempstead, Little River, Miller, Nevada, and Pike counties. Water-level altitudes measured 42 wells completed in the Tokio aquifer during 2014 and 2015 were used to create a potentiometric-surface map. In southwestern Arkansas, potentiometric surfaces indicate that groundwater flow in the Tokio aquifer is towards the city of Hope. Northwest of the city of Hope, a cone of depression may exist. In southwestern Pike, northwestern Nevada, and northeastern Hempstead Counties, an area of artesian flow (water levels are at or above land surface)...
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The Nacatoch Sand in southwestern Arkansas, hereafter referred to as the Nacatoch aquifer, is a source of groundwater for agricultural, domestic, industrial, and public use in Clark, Hempstead, Little River, Miller and Nevada counties. Water-level altitudes measured in 39 wells completed in the Nacatoch aquifer were used to create a potentiometric-surface map. Groundwater flow direction is towards the south and southeast in Hempstead, Little River, and Nevada Counties in southwestern Arkansas. A possible cone of depression may exist in southern Clark County and likely alters groundwater flow from a regional direction toward the depression. This shapefile contains the potentiometric-surface contours of the Southwest...
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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.
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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.
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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.
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The Nacatoch Sand in northeastern and Arkansas, is sources of groundwater for agricultural, domestic, industrial, and public use Clay and Green Counties. Water-level altitudes measured in 12 wells completed in the Nacatoch Sand and were used to create a potentiometric-surface map. Potentiometric surfaces show that groundwater in the Nacatoch aquifer flows southeast toward the Mississippi River in northeastern Arkansas. This shapefiled depicts the generalized extent of the Northeast Nacatoch aquifer.
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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.
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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.


map background search result map search result map SW Nacatoch potentiometric contours.shp Tokio potentiometric contours.shp NE Nacatoch aquifer extent.shp SW Nacatoch study area.shp SW Nacatoch aquifer extent.shp Tokio study area Tokio aquifer extent.shp Tokio Artesian well extent.shp AraBa CalLa CorBa FloCo GalBa LagMa MissR MissS PanHa RookB SabLa TamBa Tokio Artesian well extent.shp RookB LagMa SabLa CorBa NE Nacatoch aquifer extent.shp AraBa GalBa CalLa Tokio potentiometric contours.shp Tokio aquifer extent.shp PanHa SW Nacatoch aquifer extent.shp SW Nacatoch potentiometric contours.shp FloCo TamBa SW Nacatoch study area.shp Tokio study area MissS MissR