Nottmeier, Anna M. Pugh, Aaron L. 20250314 vector digital data Denver, CO U.S. Geological Survey https://doi.org/10.5066/P9025EEW Dataset contains 20-foot contours for the 2015 Cockfield (upper Claiborne) aquifer potentiometric-surface map in Arkansas. The potentiometric-surface map shows altitudes at which the water levels would have risen in tightly cased wells and represents conditions in June 2015. Groundwater-level data from 31 wells cased completely in and with the screened interval open to the Cockfield aquifer are publicly available from the U.S. Geological Survey’s National Water Information System. Groundwater-level measurements were used in the construction of a potentiometric surface of the Cockfield (upper Claiborne) aquifer and represent synoptic conditions in June 2015. The potentiometric-surface mapping is part of an ongoing cooperative agreement between the U.S. Geological Survey, Arkansas Department of Agriculture - Natural Resources Division, Arkansas Geological Survey, Natural Resources Conservation Services and the Union County Water Conservation Board, whose purpose is to quantify current groundwater resources, evaluate changes in these resources over time, and provide the information needed to address future human-related and environmental stresses. 20150601 20150612 ground condition Complete None planned -92.7707 -91.2009 34.1514 32.9977 ISO 19115 Topic Category geoscientificInformation USGS Thesaurus water resources groundwater groundwater flow hydrogeology groundwater level Marine Realms Information Bank (MRIB) keywords aquifer effects of groundwater extraction USGS Metadata Identifier USGS:5d88e570e4b0c4f70d0ab39e Common geographic areas Arkansas USGS Groundwater Information: Principal Aquifers of the United States Mississippi embayment aquifer system Cockfield (upper Claiborne) aquifer Please see 'Distribution-Info' for details. There is no guarantee concerning the accuracy of the data. Any user who modifies the data is obligated to describe the types of modifications they perform. Data have been checked to ensure the accuracy. If any errors are detected, please notify the originating office. The U.S. Geological Survey strongly recommends that careful attention be paid to the metadata file associated with these data. Acknowledgment of the U.S. Geological Survey would be appreciated in products derived from these data. User specifically agrees not to misrepresent the data, nor to imply that changes made were approved or endorsed by the U.S. Geological Survey. Please refer to <http://www.usgs.gov/privacy.html> for the USGS disclaimer. Anna M. Nottmeier U.S. Geological Survey, Lower Mississippi-Gulf Water Science Center Hydrologist mailing and physical

Fayetteville Field Station

University of Arkansas - Genesis Technology Incubator

700 W. Research Center Blvd

Fayetteville AR 72701 501-515-4331 anottmeier@usgs.gov Arkansas Department of Agriculture-Natural Resources Division, Arkansas Geological Survey, and Natural Resources Conservation Services ArcGIS Desktop 10.5 and ArcGIS Pro 3.1.3 Contours were constructed using water-level data from 31 wells retrieved from the USGS National Water Information System (U.S. Geological Survey, 2016) and plotted using ArcGIS 10.5 and ArcGIS Pro (ESRI, 2018; ESRI, 2023). This dataset was checked for erroneous values. Water-level contour codes were checked to ensure agreement with groundwater altitude values and arrows of groundwater-flow directions. Dataset is considered complete for the information presented, as described in the abstract. Users are advised to read the rest of the metadata record carefully for additional details. Representative and uniform data distribution is important when developing a potentiometric-surface map. A geographic information system was used to conduct a spatial analysis of the well sites. Well location data were retrieved from the USGS NWIS (U.S. Geological Survey, 2016) and plotted using ArcGIS (ESRI, 2018; ESRI, 2023). Groundwater-level measurements were converted from depth below land surface, in feet, to groundwater-level altitude, in feet above North American Vertical Datum of 1988 (NAVD 88). Cunningham, W. L. Schalk, C. W. 2011 publication U.S. Geological Survey Techniques and Methods 1–A1 Reston, VA U.S. Geological Survey http://pubs.usgs.gov/tm/1a1/ Digital and/or Hardcopy 20150428 20150616 observed Cunningham and Schalk, 2011 Source information used in support of the development of the dataset. Environmental Systems Research Institute (ESRI) 20170101 application/service Redlands, CA Environmental Systems Research Institute (ESRI) http://pro.arcgis.com/en/pro-app/tool-reference/3d-analyst/how-topo-to-raster-works.htm Digital and/or Hardcopy 20150428 20150616 publication date ESRI, 2017a Source information used to construct raster. Environmental Systems Research Institute (ESRI) 20170101 tabular digital data Redlands, CA Environmental Systems Research Institute (ESRI) http://pro.arcgis.com/en/pro-app/tool-reference/3d-analyst/contour.htm Digital and/or Hardcopy 20150428 20150616 publication date ESRI, 2017b Source information used to construct contours. Environmental Systems Research Institute (ESRI) 2018 application/service Redlands, CA Environmental Systems Research Institute (ESRI) https://desktop.arcgis.com/en/ Digital and/or Hardcopy 20150428 20150616 observed ESRI, 2018 Program used to construct 2015 potentiometric-surface map and plot well points. Environmental Systems Research Institute (ESRI) 2023 application/service Redlands, CA Environmental Systems Research Institute (ESRI) https://www.esri.com/en-us/home Digital and/or Hardcopy 20150601 20150616 observed ESRI, 2023 Program used to construct 2015 potentiometric-surface rasters and plot well points. Nottmeier, Anna M. Pugh, Aaron L. 2025 vector digital data Denver, CO ScienceBase - U.S. Geological Survey https://doi.org/10.5066/P9025EEW Digital and/or Hardcopy 20150601 20150612 observed Nottmeier and Pugh, 2025 Groundwater well locations and water-level measurements used to construct the potentiometric surface. U.S. Geological Survey 2016 application/service Reston, VA U.S. Geological Survey http://dx.doi.org/10.5066/F7P55KJN Digital and/or Hardcopy 20150428 20150616 observed U.S. Geological Survey, 2016 Access to water-resources data collected in 2015 U.S. Geological Survey - Water Resources Division 1988 publication U.S. Geological Survey Circular 878-C Reston, VA U.S. Geological Survey https://doi.org/10.3133/cir878C Digital and/or Hardcopy 1988 publication date U.S. Geological Survey - Water Resources Division, 1988 The eight-character string identifying an aquifer. Codes are defined by the "Catalog of Aquifer Names and Geologic Unit Codes used by the Water Resources Division. Online aquifer code list can be accessed at https://help.waterdata.usgs.gov/aqfr_cd. The first step was to identify and compile locations of groundwater wells in the study area that were measured during a previous groundwater-level survey of the Cockfield (upper Claiborne) aquifer in 2012. 2014 The second step was to measure wells during the summer of 2015. Groundwater levels from 31 wells cased completely in and open to the Cockfield (upper Claiborne) aquifer were measured in June 2015 and are available from the USGS National Water Information System (U.S. Geological Survey, 2016). Groundwater level measurements were measured using a calibrated steel or electric tape graduated in hundredths (0.01) of a foot (ft). The steel and electric tapes were calibrated prior to the collection of water-level measurements. Calibration was performed by comparing the steel or electric tapes to a standardized steel tape used only for calibration. 2015 Third step was to identify, compile, and verify field measurements that were measured in June 2015, in the Cockfield (upper Claiborne) aquifer. Groundwater-level measurements were converted from depth to below land surface, in feet, to groundwater-level altitude, in feet. Well altitudes, used to calculate groundwater-level altitudes, were relative to the NAVD 88 datum. 2018 Well data were imported into ArcGIS Topo To Raster tool. Topo to Raster is an interpolation method specifically designed for the creation of hydrologically correct digital elevation models (DEMs), which imposes constraints to ensure connected drainage structure and correct representation of ridges and streams from input contour data (ESRI, 2017a). Once the raster was constructed, 20-ft contours were generated by using Contour (Spatial Analyst), a tool that creates line feature class of contours (isolines) (available through ArcGIS 3D Analyst toolbox) (ESRI, 2017b). 2019 Vector String 27 Albers Conical Equal Area 29.5 45.5 -96.0 23.0 0.0 0.0 coordinate pair 0.6096 0.6096 meters North_American_Datum_1983 GRS_1980 6378137.0 298.257222101 North American Vertical Datum of 1988 1.0 feet Attribute values 1b_Cockfield_contours.shp Attribute Table Table containing attribute information associated with the dataset. U.S. Geological Survey FID Internal feature number. ESRI 0 26 Shape Feature geometry. ESRI Coordinates defining the features. Contour Groundwater level contour showing altitude at which water level would have stood in tightly cased wells, in feet above NAVD 88. U.S. Geological Survey 40 280 Feet Above NAVD88 LineType Line type shown on the 2015 Cockfield (upper Claiborne) aquifer potentiometric-surface map as a dash, or solid contour, showing altitude at which water level would have stood in a tightly cased well in June 2015. U.S. Geological Survey dash Approximately located U.S. Geological Survey solid Accurately located U.S. Geological Survey U.S. Geological Survey - ScienceBase ScienceBase mailing and physical

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Denver CO 80225 US 1-888-275-8747 sciencebase@usgs.gov Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government. Although this information product, for the most part, is in the public domain, it also contains copyrighted materials as noted in the text. Permission to reproduce copyrighted items must be secured from the copyright owner whenever applicable. The data have been approved for release and publication by the U.S. Geological Survey (USGS). Although the data have been subjected to rigorous review and are substantially complete, the USGS reserves the right to revise the data pursuant to further analysis and review. Furthermore, the data are released on the condition that neither the USGS nor the U.S. Government may be held liable for any damages resulting from authorized or unauthorized use. Although the data have been processed successfully on a computer system at the U.S. Geological Survey, no warranty expressed or implied is made regarding the display or utility of the data on any other system, or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. The U.S. Geological Survey shall not be held liable for improper or incorrect use of the data described and/or contained herein. Users of the data are advised to read all metadata and associated documentation thoroughly to understand appropriate use and data limitations. Digital Data ArcGIS 10.5 and ArcGIS Pro 3.1.3 ESRI Polyline Shapefile Zip file contains the Polyline Shapefile, as well as the associated metadata files. https://doi.org/10.5066/P9025EEW No fees are applicable for obtaining the dataset. 20250314 Anna M. Nottmeier U.S. Geological Survey, Lower Mississippi-Gulf Water Science Center Hydrologist mailing and physical

Fayetteville Field Station

University of Arkansas - Genesis Technology Incubator

700 W. Research Center Blvd

Fayetteville AR 72701 501-515-4331 anottmeier@usgs.gov FGDC Content Standard for Digital Geospatial Metadata FGDC-STD-001-1998 local time