Andrew P. Teeple 20250626 tabular and raster digital data Denver, Colorado U.S. Geological Survey This dataset is a subset of Teeple, A.P., Lucena, Z., Payne, J.D., Fetkovich, E.J., Mashburn, S.L., and Dale, I.A., 2025, Data used for the characterization of the hydrogeologic framework, groundwater-flow system, geochemistry, and aquifer hydraulic properties of the shallow groundwater system in the Wilcox and Lorraine process areas of the Wilcox Oil Company Superfund site near Bristow, Oklahoma, 2022: U.S. Geological Survey data release, https://doi.org/10.5066/P9FR2ZF6. https://doi.org/10.5066/P9FR2ZF6 Andrew P. Teeple Zulimar Lucena Christopher L. Braun Evin J. Fetkovich Isaac A. Dale Shana L. Mashburn 2025 publication n/a US Geological Survey https://doi.org/10.3133/sir20255042 The Wilcox Oil Company Superfund site (hereinafter referred to as “the site”) was formerly an oil refinery in northeast of Bristow in Creek County, Oklahoma. Historical refinery operations contaminated the soil, surface water, streambed sediments, alluvium, and groundwater with refined and stored products at the site. The Wilcox and Lorraine process areas are where the highest concentrations of volatile organic compounds, semivolatile organic compounds, polycyclic aromatic hydrocarbons, and trace elements (including metals) (collectively hereinafter referred to as “contaminants”) were measured in a local shallow perched groundwater system within the alluvium (hereinafter referred to as the “alluvial aquifer”) at the site during previous site assessments. In order to understand the potential migration of contaminants through the soil and groundwater in these areas, the U.S. Geological Survey, in cooperation with the U.S. Environmental Protection Agency, investigated aquifer characteristics of the alluvial aquifer in the Wilcox and Lorraine process areas of the site to (1) document hydraulic conductivity and other aquifer characteristics of the alluvial aquifer that govern contaminant fate and transport, (2) describe the geospatial extent and concentration of the contaminants in the alluvial aquifer in the Wilcox and Lorraine process areas, and (3) describe the geochemical controls pertaining to oxidation and reduction governing the fate and transport and the degradation potential of contaminants in the groundwater. This data release documents the data that were collected and briefly describes how they were used to characterize the hydrogeologic framework, groundwater-flow system, geochemistry, and aquifer hydraulic properties of the shallow groundwater system. Refer to the companion larger work citation (Teeple and others, 2025) for the complete description and data analyses. Twenty new groundwater monitoring wells were installed at the Wilcox Oil Company Superfund site in October 2022, to enable the collection of additional data at locations of interest to supplement data collected from older groundwater monitoring wells and piezometers. The depth of refusal data from the installed groundwater monitoring wells were combined with historical depth of refusal data to evaluate the depth to bedrock. These data were used to evaluate selected attributes of the hydrogeologic framework of the shallow groundwater system including the geospatial extents of hydrogeologic units, bed orientations, hydrogeologic unit thicknesses, and their outcrop and subcrop locations in the study area. 2016 20221208 publication and ground condition Complete None planned -96.388300 -96.380000 35.845200 35.838600 ISO 19115 Topic Category geoscientificInformation USGS Thesaurus geospatial analysis kriging visualization methods push coring data integration scientific interpretation conceptual modeling geospatial datasets hydrogeology lithostratigraphy unconsolidated deposits petroleum geologic contacts stratigraphic thickness industrial pollution None Superfund Wilcox Oil Company benzene aquifer characterization hydrogeologic framework USGS Metadata Identifier USGS:675224bbd34e5c4500cf4795 Geographic Names Information System Bristow Oklahoma Creek County None. Please refer to the "Distribution Info" section for details. None. Users are advised to read the dataset's metadata thoroughly to understand appropriate use and data limitations. Oklahoma-Texas Water Science Center Public Information Officer U.S. Geological Survey mailing and physical

1505 Ferguson Lane

Austin TX 78754 USA 512-927-3500 otpublicinfo@usgs.gov Comma Separated Values (.csv) files are provided. These text files can be opened by any text editor. The operating system and software used to open, view, and manipulate the files included in this data release are as follows: Microsoft Windows 10 Enterprise (Version 22H2 Build 19045.3086 Experience Pack 1000.19041.1000.0) Microsoft Excel for Microsoft 365 MSO (Version 2208 Build 16.0.15601.20698) 32-bit ConvertToRinex (Version 3.1.4.0) Geosoft Oasis montaj standard edition (Version 2022.2 [20221207.28]). All feature attribute values were peer reviewed. Refer to the "Methodology" and "Process Step" sections found within the "Lineage" part of the "Data Quality Information" section for a description of the quality assurance and quality control steps performed on the dataset. Values were checked for correct data types. All data match the information provided by their associated metadata and reported values fall within the expected ranges. The dataset was assessed for the presence or absence of relevant data. The 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. No formal positional accuracy tests were conducted. Groundwater monitoring well locations were recorded from static real-time kinematic Global Positioning System occupations and processed by using rapid-static processing from the Online Positioning User Service (National Geodetic Survey, 2024) and Trimble's CenterPoint RTX post-processing (Trimble Inc., 2024) technology. The reported horizontal positional accuracies ranged between 0.02 to 0.73 feet. Horizontal locations associated with soil cores and rapid optical screening tool (ROST) measurements that were drilled or measured prior to the investigation described herein were reported from various sources. The determination of data position varies between sources. Horizontal positional accuracy can range from a few feet to 10's of feet. A data correlation process was performed during the gridding process in an attempt to identify data soil cores and ROST measurements with poor horizontal positional accuracy, but it is possible that not all outlying data were removed from the dataset. No formal positional accuracy tests were conducted. Groundwater monitoring well locations were recorded from static real-time kinematic Global Positioning System occupations and processed by using rapid-static processing from the Online Positioning User Service (National Geodetic Survey, 2024) and Trimble's CenterPoint RTX post-processing (Trimble Inc., 2024) technology. The reported vertical positional accuracies ranged between 0.1 to 1.1 feet. All historical direct-push technology locations (soil cores and rapid optical screening tool measurements) were sampled for vertical information from a grid mosaic of a regional digital elevation model from the U.S. Geological Survey's 3D Elevation Program (U.S. Geological Survey, 2017). Vertical positional accuracy of the digital elevation model is about 3.04 meters at a 95 percent confidence level in terms of the National Standard for Spatial Data Accuracy but may vary significantly across the study area because of differences in source quality, terrain relief, land cover, and other factors (Gesch and others, 2014). National Geodetic Survey 2024 website https://geodesy.noaa.gov/OPUS/ Digital and/or Hardcopy 20241121 date website was accessed National Geodetic Survey (2024) Online tool that was used to post-process the real-time kinematic Global Positioning System data. Trimble Inc. 2024 website https://trimblertx.com/UploadForm.aspx Digital and/or Hardcopy 20241121 date website was accessed Trimble Inc. (2024) Online tool that was used to post-process the real-time kinematic Global Positioning System data. U.S. Geological Survey 2017 raster digital data Reston, Virginia U.S. Geological Survey accessed August 3, 2023; Archuleta, C.M., Constance, E.W., Arundel, S.T., Lowe, A.J., Mantey, K.S., and Phillips, L.A., 2017, The National Map seamless digital elevation model specifications: U.S. Geological Survey Techniques and Methods, book 11, chap. B9, 39 p., https://doi.org/10.3133/tm11B9. https://www.usgs.gov/3d-elevation-program/about-3dep-products-services Digital and/or Hardcopy 2017 ground condition U.S. Geological Survey (2017) Provides download link and information for the digital elevation model data. Gesch, D.B. Oimoen, M.J. Evans, G.A. 2014 publication U.S. Geological Survey Open-File Report 2014-1008 Reston, Virginia U.S. Geological Survey https://doi.org/10.3133/ofr20141008 Digital and/or Hardcopy 2014 publication date Gesch and others (2014) Provides vertical accuracy information for the digital elevation model data. EA Engineering, Science, and Technology, Inc., PBC 2020 publication Dallas, Texas U.S. Environmental Protection Agency, Region 6 prepared by EA Engineering, Science, and Technology, Inc., PBC, Lewisville, Texas, under contract no. EP–W–06–004, EPA identification no. OK0001010917, 3,242 p., accessed May 31, 2022 https://semspub.epa.gov/work/06/90043353.pdf Digital and/or Hardcopy 2020 publication date EA Engineering, Science, and Technology, Inc., PBC (2020a) Provides information for soil cores collected at the Wilcox Oil Company Superfund site as well as information on the historical groundwater monitoring wells and piezometers on site. S2C2, Inc. 2016 tabular digital data Flemington, New Jersey Lockheed Martin/SERAS prepared by S2C2, document no. SERAS0277–DTR–060216, 469 p., accessed April 12, 2022 https://semspub.epa.gov/work/06/500022770.pdf Digital and/or Hardcopy 2016 publication date S2C2, Inc. (2016) Provided the data and pertinent information for the rapid optical screening tool data collected at the Wilcox Oil Company Superfund site. Lockheed Martin Scientific, Engineering, Response and Analytical Services 2016 publication prepared by Lockheed Martin Scientific, Engineering, Response and Analytical Services, Edison, New Jersey, document no. SERAS0277–DTR–060216, 23 p., accessed April 12, 2022 https://semspub.epa.gov/work/06/500022770.pdf Digital and/or Hardcopy 2016 publication date Lockheed Martin SERAS (2016) Provided information for the rapid optical screening tool data collected at the Wilcox Oil Company Superfund site. EA Engineering, Science, and Technology, Inc., PBC 2020 publication Dallas, Texas U.S. Environmental Protection Agency, Region 6 prepared by EA Engineering, Science, and Technology, Inc., PBC, Lewisville, Texas, under contract no. EP–W–06–004, EPA identification no. OK0001010917, 895 p., accessed May 31, 2022 https://semspub.epa.gov/work/06/100022980.pdf Digital and/or Hardcopy 2020 publication date EA Engineering, Science, and Technology, Inc., PBC (2020b) Provides information for the historical groundwater monitoring wells and piezometers at the Wilcox Oil Company Superfund site. EA Engineering, Science, and Technology, Inc., PBC 2020 publication Dallas, Texas U.S. Environmental Protection Agency, Region 6 prepared by EA Engineering, Science, and Technology, Inc., PBC, Lewisville, Texas, under contract no. EP–W–06–004, EPA identification no. OK0001010917, 373 p., accessed May 31, 2022 https://semspub.epa.gov/work/06/100022981.pdf Digital and/or Hardcopy 2020 publication date EA Engineering, Science, and Technology, Inc., PBC (2020c) Provides information for the historical groundwater monitoring wells and piezometers at the Wilcox Oil Company Superfund site. EA Engineering, Science, and Technology, Inc., PBC 2020 publication Dallas, Texas U.S. Environmental Protection Agency, Region 6 prepared by EA Engineering, Science, and Technology, Inc., PBC, Lewisville, Texas, under contract no. EP–W–06–004, EPA identification no. OK0001010917, p. 83–3,155, accessed April 12, 2022 Digital and/or Hardcopy 2020 publication date EA Engineering, Science, and Technology, Inc., PBC (2020d) Provides information for the historical groundwater monitoring wells and piezometers at the Wilcox Oil Company Superfund site. EA Engineering, Science, and Technology, Inc., PBC 2021 publication Dallas, Texas U.S. Environmental Protection Agency, Region 6 prepared by EA Engineering, Science, and Technology, Inc., PBC, Lewisville, Texas, under contract no. EP–W–06–004, EPA identification no. OK0001010917, 2,923 p., accessed April 12, 2022 https://semspub.epa.gov/src/document/06/90044670.pdf Digital and/or Hardcopy 2021 publication date EA Engineering, Science, and Technology, Inc., PBC (2021) Provides information for the historical groundwater monitoring wells and piezometers at the Wilcox Oil Company Superfund site. Seequent 2020 publication accessed August 3, 2023 https://files.seequent.com/MySeequent/technical-papers/topicsingriddingworkshop.pdf Digital and/or Hardcopy 2020 publication date Seequent (2020) Provides information on the kriging and minimum curvature method. Seequent 2025 website https://www.seequent.com/products-solutions/oasis-montaj/ Digital and/or Hardcopy 20250326 date website was accessed Seequent (2025) Provides information about the Oasis montaj software package. Kejr, Inc. 2023 website https://geoprobe.com/tooling/direct-push-tooling Digital and/or Hardcopy 20230524 date website was accessed Kejr, Inc. (2023) Provided information on the direct-push tooling method. Stanley, T.M. 2017 publication n/a Oklahoma Geological Survey 1 sheet, scale 1:100,000, accessed March 9, 2022 https://ou.edu/content/dam/ogs/documents/ogqs/OGQ-94-color.pdf Digital and/or Hardcopy 2017 publication date Stanley (2017) Provides information on the geology in the study area. Continuous soil cores were collected for the remedial investigation (EA Engineering, Science, and Technology, Inc., PBC, 2020a) by using direct-push technology (DPT) whereby a machine is used to push sampling tools, instruments, and sensors into the subsurface without the need for a rotary drill to remove the soil (Kejr, Inc., 2023). Typically, DPT machines rely on static weight and percussive energy to help advance the tool (Kejr, Inc., 2023a). For most of the soil cores at the site using DPT, the soil cores were terminated at the depth of refusal as a result of encountering either well-lithified sandstones or hard, dense clay or mudstone units (EA Engineering, Science, and Technology, Inc., PBC, 2020a). These sandstones or mudstone units are generally related to the sandstones and mudstones of the Barnsdall Formation (Stanley, 2017), and therefore, the depth of refusal is interpreted as the depth to the top of the Barnsdall Formation. In 2015, rapid optical screening tool (ROST) measurements were collected in multiple boreholes throughout the Wilcox Oil Company Superfund site to measure the returning fluorescence from any existing light non-aqueous phase liquids (LNAPL) that may be present in the subsurface (S2C2, Inc., 2016; Lockheed Martin SERAS, 2016). The ROST fluorescence data were collected by using DPT and terminated at refusal (S2C2, Inc., 2016). The depths of refusals from the continuous soil cores from the remedial investigation and from the ROST fluorescence logging were compiled and digitized to help interpret the top of the bedrock in the Wilcox and Lorraine process areas. Land-surface altitudes were determined from a digital elevation model (DEM) for soil-core and ROST fluorescence logging locations by using their horizontal coordinates to provide a consistency and improve accuracy. DEM data were obtained from the 3D Elevation Program (3DEP) (U.S. Geological Survey, 2017) to estimate land-surface altitudes across the study area. Existing groundwater monitoring wells and piezometers in the Wilcox and Lorraine process areas were inventoried and pertinent information (such as location, depth, diameter, screen interval, and water-level and water quality data) was compiled from wells used in previous studies (EA Engineering, Science, and Technology, Inc., PBC, 2020a, b, c, d, 2021). The depth of refusal data from the existing groundwater monitoring wells and piezometers were incorporated into the interpretation for the top of the bedrock. These existing groundwater monitoring wells and piezometers were incorporated in the network of groundwater monitoring wells installed for this study, and groundwater-level measurements and water-quality samples were collected in this combined well network. EA Engineering, Science, and Technology, Inc., PBC (2020a) Kejr, Inc. (2023) Stanley (2017) S2C2, Inc. (2016) Lockheed Martin SERAS (2016) EA Engineering, Science, and Technology, Inc., PBC (2020b) EA Engineering, Science, and Technology, Inc., PBC (2020c) EA Engineering, Science, and Technology, Inc., PBC (2020d) EA Engineering, Science, and Technology, Inc., PBC (2021) 20230718 Andrew P. Teeple U.S. Geological Survey Hydrologist mailing address

10207-B East 61st Street

Tulsa OK 74145 US 325-226-0601 apteeple@usgs.gov The depth of refusal from the soil cores for the remedial investigation, the rapid optical screening tool fluorescence logging, and groundwater monitoring wells installed in 2022 were used to create a top of bedrock surface grid. Depths of refusal data were converted to refusal altitudes by subtracting the depths from the 3D Elevation Program digital elevation model (U.S. Geological Survey, 2017). The top of bedrock surface grid was created by using Oasis montaj (Seequent, 2025). A kriging method featuring "trend removal" (elimination of spatial data artifacts) is included in Oasis montaj (Seequent, 2020). There are different variogram parameters and models to choose from in the Oasis montaj software; the default kriging parameters for an exponential variogram model were used (Seequent, 2020). The grid cell size used was a horizontal grid spacing of 5 by 5 meters. The top of bedrock grids were iteratively compared to the refusal altitudes to evaluate outliers and grid accuracy and identify clustered data. All outlier locations were evaluated through a correlation process to determine data-point uncertainty. The correlation process involved the comparison of refusal altitudes between the given site and nearby sites. Throughout the process, all refusal altitudes were reviewed and revised as needed to provide the best possible final representation of the top of bedrock. U.S. Geological Survey (2017) Gesch and others (2014) Seequent (2025) Seequent (2020) 20230721 Andrew P. Teeple U.S. Geological Survey Hydrologist mailing and physical

10207-B East 61st Street

Tulsa OK 74133 USA 325-226-0601 apteeple@usgs.gov An overburden thickness grid was computed by subtracting the altitudes of the bedrock surface grid from the land-surface topography. 20230721 Andrew P. Teeple U.S. Geological Survey Hydrologist mailing address

10207-B East 61St Street

Tulsa OK 74145 US 325-226-0601 apteeple@usgs.gov Raster Grid Cell 150 145 1 Universal Transverse Mercator 14 0.9996 -99.0 0.0 500000.0 0.0 row and column 5.0 5.0 meters North_American_Datum_1983 GRS 1980 6378137.0 298.257222101004 North American Vertical Datum of 1988 0.1 feet Explicit elevation coordinate included with horizontal coordinates Wilcox_DPT_Refusal.csv Comma Separated Value (CSV) file containing the depth of refusal data for boreholes, groundwater monitoring wells, and piezometers in the Wilcox and Lorraine process areas of the Wilcox Oil Company Superfund site. Producer Defined Hole_ID Identifier for the site (borehole, groundwater monitoring well, or piezometer). Producer Defined Identifier for the site (borehole, groundwater monitoring well, or piezometer) assigned by the source identified in the "Refusal_source" attribute. Wells with Hole_IDs that include the "USGS" identifier were wells installed in conjunction with the investigation described in Teeple and others (2025). Hole_type Identifier for the type of well or hole for the specified site. Producer Defined Monitoring well The specified site is a groundwater monitoring well. Producer defined Piezometer The specified site is a piezometer. Producer defined ROST The specified site was a borehole created as part of the rapid optical screening tool data collection process, which either remained as a borehole or was turned into a groundwater monitoring well or piezometer, although this final outcome is unknown. Producer defined Soil core The specified site was a soil core. Producer defined Latitude The latitude of the specified site in decimal degrees based on the World Geodetic System 1984 datum. Producer Defined 35.839205 35.844497 decimal degrees 0.000001 Longitude The longitude of the specified site in decimal degrees based on the World Geodetic System 1984 datum. Producer Defined -96.387165 -96.381076 decimal degrees 0.000001 Easting The easting in meters of the specified site based on North American Datum of 1983 and the Universal Transverse Mercator projection zone 14. Producer Defined 735983.25 736537.93 meters 0.01 Northing The northing in meters of the specified site based on North American Datum of 1983 and the Universal Transverse Mercator projection zone 14. Producer Defined 3969278.16 3969861.73 meters 0.01 Altitude The land-surface altitude for the specified site in feet above North American Vertical Datum of 1988. Producer Defined 783.9 836.7 feet 0.1 Altitude_source Method used to obtain the land-surface altitude data for the specified site. Producer Defined RTK The land-surface altitude data for the specified site were obtained by using a real-time kinematic Global Positioning System unit. Producer defined DEM The land-surface altitude data for the specified site were obtained from the 3D Elevation Program (U.S. Geological Survey, 2017) digital elevation model of the study area. Producer defined Refusal_depth The depth in feet below land surface of refusal for the specified site. Producer Defined -999 Refusal did not occur during the borehole drilling. Producer defined 0.4 50.0 feet 0.1 Refusal_source The source of information for the specified site. Producer Defined USGS (2025) Refusal depth for the specified site was measured in conjunction with the investigation described in Teeple and others (2025). Producer defined Data gap (2020) Refusal depth for the specified site was obtained from EA Engineering, Science, and Technology, Inc., PBC (2020d). Producer defined S2C2 (2016) Refusal depth for the specified site was obtained from S2C2 (2016). Producer defined RI (2020) Refusal depth for the specified site was obtained from EA Engineering, Science, and Technology, Inc., PBC (2020a). Producer defined Refusal_alt The altitude of the refusal point for the specified site in feet above North American Vertical Datum of 1988. Producer Defined -999 Refusal did not occur during the borehole drilling. Producer defined 742.2 834.2 feet 0.1 Refusal_grid The altitude of refusal value at the specified site obtained from a grid representing the altitude of the top of bedrock that was derived from the values for “Refusal_alt” at each of the sites in the study area for which refusal data were available in feet above North American Vertical Datum of 1988. Producer Defined 744.0 833.8 feet 0.1 Refusal_gridvar The gridding variance in square feet at the specified site obtained from a grid created during the gridding of the top of bedrock altitude data which is occupied with a value in each gridding cell representing the variance of the altitude of the top of bedrock for that cell. Producer Defined 0.3 8.7 square feet 0.1 Refusal_absdiff The absolute difference in feet between the altitude of refusal (Refusal_alt) and the gridded value of the top of bedrock altitude (Refusal_grid) at the specified site. Producer Defined -999 Refusal did not occur during the borehole drilling. Producer defined 0.0 20.8 feet 0.1 Omitted_value Indicates if the altitude of refusal value was used in the development of the top of bedrock altitude grid at the specified site. Omitted values had absolute differences (Refusal_absdiff) in excess of 4 feet. Producer Defined -- Data point was used in the development of the top of bedrock altitude grid. Producer defined X Data point was omitted from the development of the top of bedrock altitude grid. Producer defined Well_bottom_depth The depth in feet below land surface to the bottom of the specified site. Producer Defined -999 Well was not installed at the specified site. Producer defined 6.0 25.0 feet 0.1 Well_bottom_alt The altitude of the bottom of the specified site in feet above North American Vertical Datum of 1988. Producer Defined -999 Well was not installed at the specified site. Producer defined 759.5 797.7 feet 0.1 Wilcox_TopBedrock_alt.tif Raster geospatial data file containing the top of bedrock altitudes in the Wilcox and Lorraine process areas of the Wilcox Oil Company Superfund Site. Producer Defined Value The top of bedrock altitude for the specified grid cell in feet above North American Vertical Datum of 1988. Producer Defined -999 The grid cell value is null. Producer defined 747.8 834.1 feet 0.1 Wilcox_Overburden_thick.tif Raster geospatial data file containing the overburden thickness in the Wilcox and Lorraine process areas of the Wilcox Oil Company Superfund Site. Producer Defined Value The overburden thickness in feet for the specified grid cell. Producer Defined -999 The grid cell value is null. Producer defined 0 53.9 feet 0.1 Files pertaining to this dataset are listed as follows: Wilcox_DPT_Refusal.csv - Comma Separated Value (CSV) file containing the depth of refusal data for boreholes, groundwater monitoring wells, and piezometers in the Wilcox and Lorraine process areas of the Wilcox Oil Company Superfund site. Wilcox_TopBedrock_alt.tif - Raster geospatial data file containing the top of bedrock altitudes in the Wilcox and Lorraine process areas of the Wilcox Oil Company Superfund Site. Wilcox_Overburden_thick.tif - Raster geospatial data file containing the overburden thickness in the Wilcox and Lorraine process areas of the Wilcox Oil Company Superfund Site. Wilcox_TopBedrockOverburdenThickness_meta.xml - Metadata file containing data quality information, processing steps, entity and attributes information, and other pertinent information. Wilcox_TopBedrockOverburdenThickness_meta.xml GS ScienceBase U.S. Geological Survey mailing address

Denver Federal Center, Building 810, Mail Stop 302

Denver CO 80225 United States 1-888-275-8747 sciencebase@usgs.gov Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), 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. Digital Data https://doi.org/10.5066/P9FR2ZF6 None 20260320 Andrew P. Teeple U.S. Geological Survey Hydrologist mailing

10207-B East 61st Street

Tulsa OK 74145 US 325-226-0601 apteeple@usgs.gov FGDC Content Standard for Digital Geospatial Metadata FGDC-STD-001-1998