U.S. Department of the Interior - U.S. Geological Survey |
U.S. GEOLOGICAL SURVEY OPEN-FILE REPORT 00-358 |
CHAPTER 2: USGS EAST-COAST SEDIMENT TEXTURE DATABASE |
Hastings, M.E., Poppe, L.J., and Hathaway, J.C |
Coastal and
Marine Geology Program, USGS, Woods Hole, MA 02543 |
INTRODUCTION |
Many scientific questions and policy issues related to sediments require data of
historical, regional and interdisciplinary scope. Existent
data are often geographically clustered and its references are widely dispersed and not
always accessible. Acquisition of new data is
expensive and may duplicate previous efforts if a full interpretation of existent data has
not occurred. Consequently, the body of existing data need to be utilized to its maximum
so that it can serve as a foundation, baseline, and starting point for further work. An
accessible, documented, and simple-to-use compilation of existing data on sediment
properties is essential for environmental managers, policy-makers, scientific researchers,
and interested members of the public. To this end, we have compiled, edited, and
integrated the available data on sediment texture and bottom descriptions produced at the Woods Hole Field Center of the Coastal and Marine Geology Program (CMGP) of the
U.S. Geological Survey (USGS) in order to
produce a regional database which will be available to a wide variety of current and
potential users. The sediment database
presented herein is also being merged with data from other federal agencies in a Microsoft Access relational database, which is currently
being developed as part of the USGS CMGP Aggregates Project. Hopefully both databases will
grow and evolve, remaining applicable to questions and models developed in the future.
This sediment database contains data on collection, location, description, and
texture of samples taken by numerous marine sampling programs. Most of the samples are from the Atlantic
Continental Margin of the United States, but some are from as diverse locations as Lake
Baikal, Russia, the Hawaiian Islands region, Puerto Rico, the Gulf of Mexico, and Lake
Michigan. The database presently contains data for over 19,000 samples, which includes
texture data for approximately 3800 samples taken or analyzed by the Atlantic Continental
Margin Program, a joint U.S. Geological Survey/Woods Hole Oceanographic Institution
project conducted from 1962 to 1970 (Emery and Schlee, 1963). The data from this program
were originally reported by Hathaway, J.C., 1971. Texture data for approximately 14,500
samples analyzed by the Sediment Laboratory of the USGS CMGP, Woods Hole MA. after 1980 make up the rest of the database.
Considerable data from the period 1970 to 1980 have yet to be digitized and
included. Although most records contain complete grain size
analyses, some are simple bottom descriptions from rocky and bouldery locations where
samples were not taken. Most of the samples were collected with some type of grab sampler;
however, a few were obtained by coring.
Individuals should be careful when assuming geodetic controls for the textural data
because different systems, datums, and navigational equipment were used to locate the
sample sites. Geodetic systems and datums
define the assumed shape and size of the earth and the origin and orientation of the
coordinate systems used to map its surface. Referencing
latitude and longitude coordinates to the wrong system or datum may result in significant
position errors. Most of the sampling
conducted prior to 1971 was navigated with Loran-A and is based partly on the Clark 1866
and partly on World Geodetic System 1964 (WGS-84) reference ellipsoids, and most of the
sampling conducted between 1972-1988 was navigated with Loran-C and is based on the World
Geodetic System 1972 (WGS-72). The Loran shore stations for the North American sample
sites were surveyed on the 1927 North American Datum (NAD 27). Finally, most of the sampling conducted after 1988
was navigated with the Global Positioning System (GPS) and is based on the World Geodetic
System 1984 (WGS-84). Conversion programs
that allow interested scientists to adjust between the different reference ellipsoids and
cartographic datums (e.g. NADCON) are readily available on the World Wide Web. Of perhaps equal or greater concern is the
horizontal error associated with the above mentioned navigational equipment. These errors vary spatially and average
approximately 185-460 m (absolute accuracy), <100 m, and <10 m for Loran-C, GPS, and
differential GPS, respectively (D. Olmsted, Woods Hole Oceanographic Institution,
oral communication). Generally,
Loran-A had an average expected accuracy of 1 percent of the distance between the
navigator and the stations (U.S. Coast Guard, 1949).
Our objective was to gather all of the available data on grain size for the bottom
sediments produced by the Woods Hole Field Center of the U.S. Geological Survey into a
scientifically-edited database that will allow scientists, policy makers, and others to
manipulate, query, and display the original data themselves in order to address their own
specific applications. Requirements for the database formats are that they be
comprehensive and simple for both entering and extracting data.
The basic structure of the database is a matrix where records are rows representing
individual samples and the columns contain information on sample identification,
navigation, classifications, analyzed parameters, and comments. This is a
"flat-file" format, which means that it is not "normalized". While this is considered inefficient from the
point of view of database management, it is the simplest way of presenting the basic data. This structure was chosen to avoid ambiguity, and
to make the process of locating fields, entering data, and validating it as simple yet
comprehensive as possible. Since we know
neither the software capabilities of the user nor the probable uses that may be made of
the data, we have made no attempt to split the files to reduce blank fields or to remove
redundancies. The same data may be presented in more than one form, e.g.: phi class
frequencies and cumulative frequencies. Even though each form can be derived from the
other, presenting both eliminates the need for the user to program formulas to calculate
one from the other. Although this may violate
the principal of having a single entry for any given data item, it greatly simplifies the
use of the file. If the user wishes to make
the data base more efficient through "normalization", we feel that it is better
that this be done by the user to fit both the applications available to the user and the
database structural logic that is familiar to the user.
The price paid for the "flat file" approach is additional storage space,
rather wide records, and the possibility that corrections made here at the source may fail
to be carried through to all forms of the data affected.
We have made every effort to insure against this last possibility.
The database presented here contains 98 fields (see the Data Dictionary below). The
specific fields and parameters have been chosen based on the data produced by the
Sedimentation Laboratory of the Coastal and Marine Geology Program of the U.S. Geological
Survey in Woods Hole, MA, and the format of information typically found in the literature.
Because the data have come from numerous sources, there are differing amounts and types of
information. Most of the samples or sets of samples do not have data in all of the given
fields; however, additional fields, qualifiers, and data can be added in virtually
unlimited fashion to accommodate specific needs.
Data that comes from the Woods Hole Sediment Laboratory are exported as
standard pre-database files (see Figure 26,
Chapter 1, Poppe and others, this CD-ROM). Several
steps are taken to massage these data. First,
area and sampling device codes are assigned full definitions, phi classes and phi ranges
are calculated from the cumulative phi values, and the analysts name is added. The classification of Gravel >10%
is changed to either or Gravelly sediment or Gravel based on the
actual gravel content (Gravel >10% but <=50% or Gravel >50%, respectively). The USGS Administrative Cruise Summary is
consulted in an attempt to add the approximate (month and year) sample collection dates,
and the data fields are rearranged to conform to the Data Dictionary (see below).
The database itself is provided in three formats: two popular software formats and
one delimited ASCII text format. All were created in Microsoft Excel 2000. In the
delimited ASCII text file, each field or column of data is separated from the next by tabs
and can be downloaded into many types of software. The formatted files will open in the
appropriate software if the user has the applications installed and their web browser
properly configured.
* ECST0500.xls
Microsoft Excel 97-2000 & 5.0/95 (26.5 Mb)
* ECST0500.dbf
Dbase IV (20.8 Mb)
* ECST0500.txt
Tab-delimited text (7 Mb)
The
tab-delimited file contains data as well as headings for the tables of data in
uncompressed ASCII format. This file is supplied for users who do not have a DOS or
Windows compatible computer, or for users who wish to import the data into unaccommodated
applications that can accept ASCII character information.
The sediment database presented herein can also be imported into Microsoft Access
by using the file supplied in Excel format (ECST0500.xls).
To do this, first create a new database in Access by selecting File/New Database
and give the database a name. Create a new
table in this database by selecting the Tables tab and choosing New/Import Table. Navigate to the folder on the CD-ROM where the
Excel version of the database is located and in the Files of Type box in Access, choose
Microsoft Excel (.xls). Select the file and
choose Import. This will open the Import
Spreadsheet Wizard dialog box. Click on the box that says First Row Contains Column
Headings, and then choose Next. If there are
invalid names, Access will assign a field name (e.g. Field 12), which can later be changed. Valid field names cannot include a period, an
exclamation point, an accent grave, or brackets. To
create a new table in this database, select In a New Table and then choose Next. This dialog box gives options for changing field
names, data types and indexing. The options
for each column can be changed by selecting the column in the bottom half of the box. Change any options you wish and then choose Next. Specify the primary key in the following box or
allow Access to do it for you, and choose Next. In the last dialog box, give the table a
name and choose Finish. Access will then
import the table. If Access encounters any
errors or bad records, it will display an error message and then create a table called
"Yourfilename$_ImportErrors." The
table will list the error type, the field where the error was encountered, and the row
number.
VISUALIZATION OF THE TEXTURAL DATABASE
Those samples for which full grain-size data are available were also assigned
classifications based on definitions found in Shepard (1954). In displaying the lithologic descriptors, the
general ranking principle of the main constituents (e.g. gravel, sand) and modifying
constituents (e.g. sandy, silty) follows in order of decreasing coarseness. The color
display follows this pattern:
Red - sediment whose
main phase is gravel (>=50%); rocky bottom
Orange - sediment with significant amounts of gravel
(>10%, but <50%)
Yellow - sediment whose main phase is sand without
significant gravel or mud
Light Green - sediment whose main phase is sand (>50%) with
significant silt or clay
Dark Green -
sediment with significant sand, silt, and clay
Blue - sediments whose main
phase is silt (Usually >50%)
Purple - sediments whose main phase is clay
(Usually >50%)
Black - bedrock (based on visual
observation)
Available
overviews of the sediment classes from the data in this archive include:
* The
Atlantic Continental Margin
* North
and South Carolina (Carolina Trough)
* Georgia
and Florida (Blake Plateau Basin)
Also
available is an overview showing those samples which have a lithologic description but
incomplete size data or no rigorous classification.
An integral part of any functioning database is the dictionary that explains the
structure and content of the database. The
dictionary contains an index and definitions of the
parameters measured and lists the fields which record and qualify those parameters.
Extracting data from the database is facilitated by reference to this document because it
provides a means to keep track of abbreviations and the sediment fields names. A copy of
this data dictionary (datadict.xls) may also
be downloaded in Microsoft Excel 5.0/95 format.
Short Field Name
| Full-Length Field Name | Field
Description
GROUP | Group | Number
assigned to data based on source (1 = Samples taken before start of the joint USGS/WHOI
project; 2 = USGS/WHOI Atlantic Continental Margin Program stations; 3 = samples analyzed
by the USGS Branch of Atlantic Marine Geology Sediment Laboratory
USGS DB_ID | USGS
unique sample identifier | Unique identification number (consisting of 2
characters and 3 numerics) generated in the sedimentation laboratory of the USGS's Woods
Hole Field Center for the Atlantic Margin Texture Database
FIELD_ID | Field
identifier |
Sample name or number as assigned in the field
PROJ_NAME | Project
name | Project
under which samples were taken or data generated; sometimes indicates more specific area
CRUISE_ID | Cruise
ID | Name
or number of cruise on which sample collected
CONTACT | Principal
contact |
Name of Principal Investigator (usually first initial and last name)
AREA | Area | General
geographic area (general enough to easily locate on a state map )
LATITUDE | Latitude | Latitude
in decimal-degrees (south latitudes are depicted by negative
values)
LONGITUDE | Longitude | Longitude
in decimal-degrees (west longitudes are depicted by negative values)
ORIG_PREC | Original
Precision |
Precision of location measurement (e.g., DM for degrees and minutes, DMS.x for
degrees, minutes, and seconds to the tenth decimal position)
DEPTH_M | Depth
or sounding in meters | Measured
depth of water overlying sediment at sample time, not corrected for tides, in meters
SOUND.METHOD | Sounding
method |
Method used to ascertain depth
T_DEPTH | Top
depth |
Top depth of the sample below the sediment-water interface, in cm
B_DEPTH | Bottom
depth |
Bottom depth of the sample below the sediment-water interface, in cm
DEVICE | Sampling
device |
Device used to collect the sample
MONTH_COLL | Month
collected |
Calendar month sample collected
DAY_COLL | Day
collected |
Calendar day sample collected
YEAR_COLL | Year
collected |
Calendar year sample collected
LITHOLOGY | Lithology | General
lithologic description of sample
COMMENTS | Comments | Comments
on sample collection or lithology
MNTH_ANAL | Month
analyzed |
Calendar month sample analyzed
DAY_ANAL | Day
analyzed |
Calendar day sample analyzed
YEAR_ANAL | Year
analyzed |
Calendar year sample analyzed
WEIGHT | Weight | Weight
of wet sample in grams
GRAVEL_PCT | %Gravel | Gravel
content in percent dry weight of the sample (particles with nominal diameters greater than
2 mm; -1Ø and larger)
SAND_PCT | %Sand | Sand
content in percent dry weight of the sample (particles with nominal diameters less than 2
mm, but greater than or equal to 0.0625 mm ; 0Ø
through 4Ø )
SILT_PCT | %Silt | Silt
content in percent dry weight of the sample (particles with nominal diameters less than
0.0625 mm, but greater than or equal to 0.004 mm; 5Ø
through 8Ø ,
inclusive)
CLAY_PCT | %Clay | Clay
content in percent dry weight of the sample (particles with nominal diameters less than
0.004 mm; 9Ø and smaller)
SED_CLASS | Classification | Sediment
description based on a rigorous definition
CLASS_CODE | Classification
code | Code
number assigned based on sample classification; for plotting purposes only (see
Visualization of the Textural Database)
MEDIAN | Median | Middle
point in the grain size distribution in phi units
MEAN | Mean | Average
value in the grain size distribution in phi units
STDEV_SORT | Standard
deviation (sorting) | Standard deviation (root mean square of the
deviations) of the grain size distribution in phi units
SKEWNESS | Skewness | Skewness
(deviation from symmetrical form) of the grain size distribution in phi units
KURTOSIS | Kurtosis | Kurtosis
(degree of curvature near the mode) of the grain size distribution in phi units
MODE_1_CLA | Mode
1 class |
First mode (particle size that occurs the most number of times) in phi units
MODE_1_STR | Mode
1 strength |
Modal strength of the first mode in percent
MODE_2_CLA | Mode
2 class |
Second mode in phi units
MODE_2_STR | Mode
2 strength |
Modal strength of the second mode in percent
MODE_3_CLA | Mode
3 class |
Third mode in phi units
MODE_3_STR | Mode
3 strength |
Modal strength of the third mode in percent
N_MODES | Number
of modes | Number
of modes
PHI_STEP | Phi
step | Phi
interval used in analysis (e.g. full phi, half phi)
FROM_PHI | From
Phi | Largest
particle size measured, in phi units
TO_PHI | To
Phi | Smallest
particle size measured, in phi units
PHI-11 | -11
Phi | Weight
percent of the sample in the -11Ø
fraction (nominal diameter of particles greater than or equal to 2048 mm)
PHI-10 | -10
Phi | Weight
percent of the sample in the -10Ø
fraction (nominal diameter of particles greater than or equal to 1024 mm, but less
than 2048 mm)
PHI-9 | -9
Phi | Weight
percent of the sample in the -9Ø
fraction (nominal diameter of particles greater than or equal to 512 mm, but less
than 1024 mm)
PHI-8 | -8
Phi | Weight
percent of the sample in the -8Ø
fraction (nominal diameter of particles greater than or equal to 256 mm, but less
than 512 mm); boulders
PHI-7 | -7
Phi | Weight
percent of the sample in the -7Ø
fraction (nominal diameter of particles greater than or equal to 128 mm, but less
than 256 mm); large cobbles
PHI-6 | -6
Phi | Weight
percent of the sample in the -6Ø
fraction (nominal diameter of particles greater than or equal to 64 mm, but less
than 128 mm); small cobbles
PHI-5 | -5
Phi | Weight
percent of the sample in the -5Ø
fraction (nominal diameter of particles greater than or equal to 32 mm, but less
than 64 mm); very coarse pebbles
PHI-4 | -4
Phi | Weight
percent of the sample in the -4Ø fraction (nominal diameter of
particles greater than or equal to 16 mm, but less than 32 mm); coarse pebbles
PHI-3 | -3
Phi | Weight
percent of the sample in the -3Ø
fraction (nominal diameter of particles greater than or equal to 8 mm, but less
than 16 mm); medium pebbles
PHI-2 | -2
Phi | Weight
percent of the sample in the -2Ø
fraction (nominal diameter of particles greater than or equal to 4 mm, but less
than 8 mm); fine pebbles
PHI-1 | -1
Phi | Weight
percent of the sample in the -1Ø fraction (nominal diameter of
particles greater than or equal to 2 mm, but less than 4 mm); very fine pebbles (granules)
PHI_0 | 0
Phi | Weight
percent of the sample in the 0Ø fraction (nominal diameters of
particles greater than or equal to 1 mm, but less than 2 mm); very coarse sand
PHI_1 | 1
Phi | Weight
percent of the sample in the 1Ø
fraction (nominal diameter of particles greater than or equal to 0.5 mm, but less
than 1 mm); coarse sand
PHI_2 | 2
Phi | Weight
percent of the sample in the 2Ø
fraction (nominal diameter of particles greater than or equal to 0.25 mm, but less
than 0.5 mm); medium sand
PHI_3 | 3
Phi | Weight
percent of the sample in the 3Ø fraction (nominal diameter of
particles greater than or equal to 0.125 mm,
but less than 0.25 mm); fine sand
PHI_4 | 4
Phi | Weight
percent of the sample in the 4Ø
fraction (nominal diameters of particles greater than or equal to .0625 mm, but
less than 0.125 mm); very fine sand
PHI_5 | 5
Phi | Weight
percent of the sample in the 5Ø
fraction (nominal diameter of particles greater than or equal to 0.031 mm, but less
than 0.0625 mm); coarse silt
PHI_6 | 6
Phi | Weight
percent of the sample in the 6Ø
fraction (nominal diameter of particles greater than or equal to 0.016 mm, but less
than 0.031 mm); medium silt
PHI_7 | 7
Phi | Weight
percent of the sample in the 7Ø
fraction (nominal diameter of particles greater than or equal to 0.008 mm, but less
than 0.016 mm); fine silt
PHI_8 | 8
Phi | Weight
percent of the sample in the 8Ø fraction (nominal diameter of
particles greater than or equal to 0.004 mm, but less than 0.008 mm); very fine silt
PHI_9 | 9
Phi | Weight
percent of the sample in the 9Ø
fraction (nominal diameter of particles greater than or equal to 0.002 mm, but less than 0.004 mm); coarse clay
PHI_10 | 10
Phi | Weight
percent of the sample in the 10Ø
fraction (nominal diameter of particles greater than or equal to 0.001 mm, but less
than 0.002 mm); medium clay
PHI_11 | 11
Phi | Weight
percent of the sample in the 11Ø
fraction (nominal diameter of particles greater than or equal to 0.5 µm, but less
than 0.001 mm); fine clay
PHI_12 | 12
Phi | Weight
percent of the sample in the 12Ø
fraction (nominal diameter of particles greater than or equal to 0.25 µm, but less
than 0.5 µm); very fine clay
PHI_13 | 13
Phi | Weight
percent of the sample in the 13Ø
fraction (nominal diameter of particles greater than or equal to 0.125 µm, but less than 0.25 µm)
PHI_14 | 14
Phi | Weight
percent of the sample in the 14Ø
fraction (nominal diameters of particles greater than or equal to .125 µm, but
less than 0.0625 µm)
PHI_15 | 15
Phi | Weight
percent of the sample in the 15Ø
fraction (nominal diameter of particles greater than or equal to 0.0625 µm, but
less than 0.031 µm)
PHI_16 | 16
Phi | Weight
percent of the sample in the 16Ø
fraction (nominal diameter of particles greater than or equal to 0.031 µm, but
less than 0.0125 µm)
PHI_17 | 17
Phi | Weight
percent of the sample in the 17Ø
fraction (nominal diameter of particles greater than or equal to 0.0125 µm, but
less than 0.00625 µm)
PHI_18 | 18
Phi | Weight
percent of the sample in the 18Ø fraction (nominal diameter of
particles greater than or equal to 0.00625 µm, but less than 0.0031 µm)
PHI_19 | 19
Phi | Weight
percent of the sample in the 19Ø
fraction (nominal diameter of particles greater than or equal to 0.0031 µm, but less than 0.00125 µm)
PHI_20 | 20
Phi | Weight
percent of the sample in the 20Ø
fraction (nominal diameter of particles greater than or equal to 0.00125 µm, but
less than 0.625 µm)
PHI_21 | 21
Phi | Weight
percent of the sample in the 21Ø fraction (nominal diameter of
particles greater than or equal to 0.625 nm, but less than 0.31 µm
PHI_22 | 22
Phi | Weight
percent of the sample in the 22Ø fraction (nominal diameter of
particles greater than or equal to 0.31 µm)
CFP11 | Cfp11 | Cumulative
frequency percent of the 11Ø
fraction and coarser (less than 0.001 mm)
CFP10 | Cfp10 | Cumulative
frequency percent of the 10Ø
fraction and coarser (less than 0.002
mm)
CFP09 | Cfp09 | Cumulative
frequency percent of the 9Ø
fraction and coarser (less than 0.004
mm)
CFP08 | Cfp08 | Cumulative
frequency percent of the 8Ø
fraction and coarser (less than 0.008
mm)
CFP07 | Cfp07 | Cumulative
frequency percent of the 7Ø
fraction and coarser (less than 0.0016 mm)
CFP06 | Cp06 | Cumulative
frequency percent of the 6Ø
fraction and coarser (less than 0.031 mm)
CFP05 | Cfp05 | Cumulative
frequency percent of the 5Ø
fraction and coarser (less than 0.062 mm)
CFP04 | Cfp04 | Cumulative
frequency percent of the 4Ø
fraction and coarser (less than 0.125 mm)
CFP03 | Cfp03 | Cumulative
frequency percent of the 3Ø
fraction and coarser (less than 0.250 mm)
CFP02 | Cfp02 | Cumulative
frequency percent of the 2Ø
fraction and coarser (less than 0.5 mm)
CFP01 | Cfp01 | Cumulative
frequency percent of the 1Ø
fraction and coarser (less than 0.1 mm)
CFP00 | Cfp00 | Cumulative
frequency percent of the 0Ø
fraction and coarser (less than 2 mm)
CFPM1 | Cfpm1 | Cumulative
frequency percent of the -1Ø
fraction and coarser (less than 4 mm)
CFPM2 | Cfpm2 | Cumulative
frequency percent of the -2Ø
fraction and coarser (less than 8 mm)
CFPM3 | Cfpm3 | Cumulative
frequency percent of the -3Ø
fraction and coarser (less than 16 mm)
CFPM4 | Cfpm4 | Cumulative
frequency percent of the -4Ø
fraction and coarser (less than 32 mm)
CFPM5 | Cfpm5 | Cumulative
frequency percent of the -5Ø
fraction and coarser (distribution is usually less than 64 mm)
ANALYST | Analyst | Name(usually
first initial and last name) of person who performed the grain size or physical properties
analysis
ANAL_COMM | Comments
on analyses |
Any further information about sediment analysis for all or specific parameters in
this table
This report is preliminary and has not been reviewed for conformity with U.S.
Geological Survey editorial standards (or with the North American Stratigraphic Code). Any
use of trade, product, or firm names is for descriptive purposes only and does not imply
endorsement by the U.S. Government. Image on
the title page is clipart from Corel XARA (v. 1.5). We
thank J. Schlee, J. Frothingham, C. Hayes, M. Ferrebee, D. Eskinasy, S. Wood, C.
Parmenter, B. Brewster, H. Maiers, G. Kineke, S. Mateus, A. Brown, M. Moffett, C. Wright,
R. Siplac, A. Harmon, B. Taylor, B. Kennedy, S. Parolski, A. Robinson, D. Walsh, and E.
Loftfield, the sediment lab analysts who generated the data presented in this report, and
J. Reid, who helped refine the instructions to import these data into Access.
Emery, K.O.,
and Schlee, J.S., 1963, The Atlantic Continental Shelf and Slope, a program for study:
U.S. Geological Survey Circular 481, 11 p.
Hathaway,
J.C., 1971, Data File - Continental Margin Program: Woods Hole Oceanographic Institution
Technical Report 71-15, 492 p.
Shepard,
F.P., 1954, Nomenclature based on sand-silt-clay ratios: Journal of Sedimentary Petrology,
v. 24, p. 151-158.
U.S. Coast
Guard, 1949, Electronic navigational aids: CG157, 73 p.
The database presented here has been approved for release and publication by the
Director of the USGS. Although this database
has been subjected to rigorous review and is substantially complete, the USGS reserves the
right to revise the data pursuant to further analysis and review. Furthermore, it is released on condition
that neither the USGS nor the United States Government may be held liable for any damages
resulting from its authorized or unauthorized use.
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