<?xml version='1.0' encoding='UTF-8'?>
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  <idinfo>
    <citation>
      <citeinfo>
        <origin>Grant D. Colip</origin>
        <origin>Peter G. Chirico</origin>
        <origin>Alexandra K. Lair</origin>
        <origin>Julia L. Seidenstein</origin>
        <pubdate>20250922</pubdate>
        <title>Multi-proxy geochemical and sedimentological data from 20 short sediment cores collected along the Euphrates, Tigris, and Shatt al-Gharraf rivers in the lower Mesopotamian Plain, Iraq</title>
        <geoform>spreadsheet</geoform>
        <onlink>https://doi.org/10.5066/P13HGVV2</onlink>
      </citeinfo>
    </citation>
    <descript>
      <abstract>This data release presents multi-proxy geochemical and sedimentological data from 20 short sediment cores (ranging 50–70 cm in depth) collected in 2003 along the Euphrates, Tigris, and Shatt al-Gharraf rivers in the Lower Mesopotamian Plain, Iraq. The dataset includes X-ray fluorescence (XRF) elemental abundances, particle size distributions, visible and near-infrared spectrophotometry data, and magnetic susceptibility measurements, along with line-scan images of the cores.

These cores were collected to investigate modern floodplain dynamics, sedimentary processes, and irrigation-related depositional signatures in an arid to semi-arid environment that has been shaped by millennia of river management, agriculture, and land use. The data are structured to support geomorphological, paleoenvironmental, and geoarchaeological research on sediment sources, hydrologic regimes, and stratigraphic changes across southern Iraq.

The data presented here were collected in 2024-2025 at the USGS Florence Bascom Geoscience Center (FBGC) in Reston, VA.  Multi-sensor core logger data and line-scan images were collected using instrumentation housed in the Bascom Multi-Sensor Core Logger (BASCORE) Laboratory, and particle size distribution data were collected in the Bascom Laser Diffraction Sedimentology Laboratory.

Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.</abstract>
      <purpose>The sediment analysis data collected in this study will be used to enhance our understanding of recent and historic sedimentation processes in the lower Mesopotamian Plain. These insights support geomorphological interpretations of floodplain evolution, inform studies of irrigation and land use dynamics, and contribute to geoarchaeological investigations of human-environment interactions in a highly modified landscape.</purpose>
      <supplinf>Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.</supplinf>
    </descript>
    <timeperd>
      <timeinfo>
        <rngdates>
          <begdate>20030810</begdate>
          <enddate>20030821</enddate>
        </rngdates>
      </timeinfo>
      <current>ground condition</current>
    </timeperd>
    <status>
      <progress>Complete</progress>
      <update>None planned</update>
    </status>
    <spdom>
      <bounding>
        <westbc>44.3570</westbc>
        <eastbc>46.1870</eastbc>
        <northbc>32.9980</northbc>
        <southbc>31.3310</southbc>
      </bounding>
    </spdom>
    <keywords>
      <theme>
        <themekt>ISO 19115 Topic Category</themekt>
        <themekey>geoscientificInformation</themekey>
      </theme>
      <theme>
        <themekt>None</themekt>
        <themekey>U.S. Geological Survey</themekey>
        <themekey>USGS</themekey>
        <themekey>Florence Bascom Geoscience Center</themekey>
        <themekey>FBGC</themekey>
        <themekey>particle size analysis</themekey>
        <themekey>grain size</themekey>
        <themekey>Iraq</themekey>
        <themekey>magnetic susceptibility</themekey>
        <themekey>sedimentology</themekey>
        <themekey>color reflectance</themekey>
        <themekey>geochemistry</themekey>
        <themekey>elemental</themekey>
        <themekey>XRF</themekey>
        <themekey>pXRF</themekey>
        <themekey>X-ray fluorescence</themekey>
        <themekey>sediment core</themekey>
        <themekey>floodplain</themekey>
        <themekey>geomorphology</themekey>
        <themekey>alluvial sedimentation</themekey>
        <themekey>irrigation</themekey>
        <themekey>Holocene</themekey>
        <themekey>geoarchaeology</themekey>
        <themekey>multi-proxy</themekey>
        <themekey>core logging</themekey>
      </theme>
      <theme>
        <themekt>USGS Thesaurus</themekt>
        <themekey>Geochemistry</themekey>
        <themekey>Geography</themekey>
        <themekey>Geomorphology</themekey>
        <themekey>Sedimentology</themekey>
        <themekey>Soil Sciences</themekey>
      </theme>
      <theme>
        <themekt>USGS Metadata Identifier</themekt>
        <themekey>USGS:68ae0ee9d4be02406c8cf1d6</themekey>
      </theme>
      <place>
        <placekt>None</placekt>
        <placekey>Mesopotamian Plain</placekey>
        <placekey>Iraq</placekey>
        <placekey>Mesopotamia</placekey>
        <placekey>Shatt al-Gharraf</placekey>
        <placekey>Tigris</placekey>
        <placekey>Euphrates</placekey>
      </place>
    </keywords>
    <accconst>None.  Please see 'Distribution Info' for details.</accconst>
    <useconst>None.  Users are advised to read the dataset's metadata thoroughly to understand appropriate use and data limitations.</useconst>
    <ptcontac>
      <cntinfo>
        <cntperp>
          <cntper>Grant D. Colip</cntper>
          <cntorg>U.S. Geological Survey; Florence Bascom Geoscience Center</cntorg>
        </cntperp>
        <cntpos>Physical Scientist</cntpos>
        <cntaddr>
          <addrtype>mailing and physical</addrtype>
          <address>12201 Sunrise Valley Drive</address>
          <address>MS 926A</address>
          <city>Reston</city>
          <state>Virginia</state>
          <postal>20192</postal>
          <country>United States</country>
        </cntaddr>
        <cntvoice>(703) 648-6919</cntvoice>
        <cntfax>(703) 648-6953</cntfax>
      </cntinfo>
    </ptcontac>
    <datacred>Field and preliminary lab work was supported by the USGS Earth Surface Processes Team and the Mineral Resources Team in 2005. Subsequent analysis was conducted in 2024–2025 by staff at the Florence Bascom Geoscience Center, including the BASCORE (Bascom Multi-Sensor Core Logger) and BLAZER (Bascom Laser Diffraction Sedimentology) laboratories. Cores were collected in cooperation with the U.S. Marine Engineering Group (MEG) during post-conflict reconstruction work in Iraq.

This work was funded by the U.S. Army Night Vision and Electronic Sensors Directorate, S&amp;T Division, Signal &amp; Image Processing Branch, and the U.S. Geological Survey's National Geological and Geophysical Data Preservation Program.</datacred>
  </idinfo>
  <dataqual>
    <attracc>
      <attraccr>These data have been peer reviewed and assessed for accuracy using processes described in the Process Step section of this metadata.</attraccr>
    </attracc>
    <logic>Data values from each analysis were checked to ensure that they fall within the expected ranges.  Data were checked for duplication and omission.  No other formal logical consistency reports were conducted.</logic>
    <complete>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.</complete>
    <posacc>
      <horizpa>
        <horizpar>No formal positional accuracy tests were conducted.</horizpar>
      </horizpa>
      <vertacc>
        <vertaccr>No formal positional accuracy tests were conducted.</vertaccr>
      </vertacc>
    </posacc>
    <lineage>
      <procstep>
        <procdesc>Twenty sediment cores were originally collected between August 10-21, 2003, by a team from the U.S. Marine Engineering Group (MEG) in cooperation with the U.S. Geological Survey (USGS). These cores were acquired during post-conflict reconstruction efforts in central Iraq, with site selection focused on locations accessible by road and situated adjacent to river channels or irrigation networks. The intent of the original collection was to support geotechnical and hydrological assessments relevant to transportation infrastructure and environmental management projects across the Lower Mesopotamian Plain.

Each core was extracted using PVC tubes approximately 3 inches (7.6 cm) in diameter, with core lengths ranging between 50 and 70 cm. Upon recovery, cores were split lengthwise into archive and working halves. The archive halves were sealed, labeled, and stored under climate-controlled conditions, while the working halves were reserved for subsequent analysis.</procdesc>
        <procdate>20030821</procdate>
        <proccont>
          <cntinfo>
            <cntperp>
              <cntper>Peter G. Chirico</cntper>
              <cntorg>U.S. Geological Survey; Florence Bascom Geoscience Center</cntorg>
            </cntperp>
            <cntpos>Supervisory Geographer</cntpos>
            <cntaddr>
              <addrtype>mailing and physical</addrtype>
              <address>12201 Sunrise Valley Drive</address>
              <address>MS 926A</address>
              <city>Reston</city>
              <state>Virginia</state>
              <postal>20192</postal>
              <country>United States</country>
            </cntaddr>
            <cntvoice>(703) 648-6950</cntvoice>
            <cntfax>(703) 648-6953</cntfax>
            <cntemail>pchirico@usgs.gov</cntemail>
          </cntinfo>
        </proccont>
      </procstep>
      <procstep>
        <procdesc>In 2024, non-destructive core imaging and logging was conducted at the Bascom Multi-Sensor Core Logger (BASCORE) Laboratory in Reston, Virginia using a suite of GeoTek multi-sensor core loggers (MSCL-S and MSCL-XZ). Measurements for X-ray fluorescence (XRF), magnetic susceptibility, and visible and near-infrared spectrophotometry were collected at 0.5 cm resolution along the split surface of each core. High-resolution line-scan images were also produced for each split core surface.

Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.</procdesc>
        <procdate>20240918</procdate>
        <proccont>
          <cntinfo>
            <cntperp>
              <cntper>Julia L. Seidenstein</cntper>
              <cntorg>U.S. Geological Survey; Florence Bascom Geoscience Center</cntorg>
            </cntperp>
            <cntpos>Geologist</cntpos>
            <cntaddr>
              <addrtype>mailing and physical</addrtype>
              <address>12201 Sunrise Valley Drive</address>
              <address>MS 926A</address>
              <city>Reston</city>
              <state>Virginia</state>
              <postal>20192</postal>
              <country>United States</country>
            </cntaddr>
            <cntvoice>(703) 648-6151</cntvoice>
            <cntfax>(703) 648-6953</cntfax>
            <cntemail>jseidenstein@usgs.gov</cntemail>
          </cntinfo>
        </proccont>
      </procstep>
      <procstep>
        <procdesc>In 2025, the working halves of each core were subsampled at 5 cm intervals for laser diffraction particle size analysis (PSA) in the Bascom Laser Diffraction Sedimentology Laboratory.  Analyses were completed using a Beckman Coulter LS 13 320 XR instrument, which measures grain-size distributions ranging from &lt;0.04 µm (clay) to &gt;2,000 µm (coarse sand) and produces high-resolution quantitative data on sediment texture.

Due to their dessicated nature, samples were soaked in 0.5% sodium hexametaphosphate (deflocculant) for a minimum of 24 hours prior to analysis.  Samples were then sonicated in an ultrasonic bath for approximately 30 seconds, gently agitated with a 5 mL transfer pipette, and immediately loaded into the LS XR equipment. Each sample underwent three runs of 90 s duration each, from which the averages were reported. The resultant particle size distributions were checked for logical consistency across the runs, and in some cases samples were re-run to ensure consistency and accuracy of the data produced. Contact the authors of this dataset for more details about the parameters for this analysis.

Data are presented as raw (unaltered) outputs.  Variation in the number of significant digits reported between some samples is a result of the instrument output and should not be intepreted as an indicator of precision. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.</procdesc>
        <procdate>20250530</procdate>
        <proccont>
          <cntinfo>
            <cntperp>
              <cntper>Grant D. Colip</cntper>
              <cntorg>U.S. Geological Survey; Florence Bascom Geoscience Center</cntorg>
            </cntperp>
            <cntpos>Physical Scientist</cntpos>
            <cntaddr>
              <addrtype>mailing and physical</addrtype>
              <address>12201 Sunrise Valley Drive</address>
              <address>MS 926A</address>
              <city>Reston</city>
              <state>Virginia</state>
              <postal>20192</postal>
              <country>United States</country>
            </cntaddr>
            <cntvoice>(703) 648-6919</cntvoice>
            <cntfax>(703) 648-6953</cntfax>
            <cntemail>gcolip@usgs.gov</cntemail>
          </cntinfo>
        </proccont>
      </procstep>
    </lineage>
  </dataqual>
  <eainfo>
    <overview>
      <eaover>Comma separated value files containing MSCL data (Iraq_MSCL_data.csv), particle size inventory (Iraq_PSA_inventory.csv), particle size data (Iraq_PSA_data.csv), and particle size statistics (Iraq_PSA_statistics.csv) are described in a data dictionary rather than directly in this metadata file.  A .zip folder (Iraq_MSCL_images.zip) contains the line-scan core images from the MSCL.

The files are as follows:
- Iraq_MSCL_data.csv, which includes the raw data from MSCL including X-ray fluorescence, spectrophotometry, and magnetic susceptibility;
- Iraq_MSCL_images.zip, which contains the line-scan images of the sediment cores;
- Iraq_PSA_and_core_inventory.csv, which includes inventory for the sediment cores and the particle size analysis subsamples;
- Iraq_PSA_data.csv, which includes the raw data from laser diffraction particle size analysis,
- Iraq_PSA_statistics.csv, which includes statistics from laser diffraction particle size analysis,
- Iraq_DataDictionary.csv, which is a data dictionary describing the data in the other .csv files.</eaover>
      <eadetcit>Iraq_MSCL_data.csv
Iraq_MSCL_images.zip
Iraq_PSA_data.csv
Iraq_PSA_statistics.csv
Iraq_PSA_and_core_inventory.csv
Iraq_DataDictionary.csv</eadetcit>
    </overview>
  </eainfo>
  <distinfo>
    <distrib>
      <cntinfo>
        <cntperp>
          <cntper>GS ScienceBase</cntper>
          <cntorg>U.S. Geological Survey</cntorg>
        </cntperp>
        <cntaddr>
          <addrtype>mailing address</addrtype>
          <address>Denver Federal Center, Building 810, Mail Stop 302</address>
          <city>Denver</city>
          <state>CO</state>
          <postal>80225</postal>
          <country>United States</country>
        </cntaddr>
        <cntvoice>1-888-275-8747</cntvoice>
        <cntemail>sciencebase@usgs.gov</cntemail>
      </cntinfo>
    </distrib>
    <distliab>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 for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty.</distliab>
    <stdorder>
      <digform>
        <digtinfo>
          <formname>Digital Data</formname>
        </digtinfo>
        <digtopt>
          <onlinopt>
            <computer>
              <networka>
                <networkr>https://doi.org/10.5066/P13HGVV2</networkr>
              </networka>
            </computer>
          </onlinopt>
        </digtopt>
      </digform>
      <fees>None</fees>
    </stdorder>
  </distinfo>
  <metainfo>
    <metd>20250922</metd>
    <metc>
      <cntinfo>
        <cntperp>
          <cntper>Grant D. Colip</cntper>
          <cntorg>U.S. Geological Survey; Florence Bascom Geoscience Center</cntorg>
        </cntperp>
        <cntpos>Physical Scientist</cntpos>
        <cntaddr>
          <addrtype>mailing and physical</addrtype>
          <address>12201 Sunrise Valley Drive</address>
          <address>MS 926A</address>
          <city>Reston</city>
          <state>Virginia</state>
          <postal>20192</postal>
          <country>United States</country>
        </cntaddr>
        <cntvoice>(703) 648-6919</cntvoice>
        <cntfax>(703) 648-6953</cntfax>
        <cntemail>gcolip@usgs.gov</cntemail>
      </cntinfo>
    </metc>
    <metstdn>FGDC Content Standard for Digital Geospatial Metadata</metstdn>
    <metstdv>FGDC-STD-001-1998</metstdv>
  </metainfo>
</metadata>
