<?xml version='1.0' encoding='UTF-8'?>
<metadata xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
  <idinfo>
    <citation>
      <citeinfo>
        <origin>J. William Lund</origin>
        <origin>Se Jong Cho</origin>
        <origin>Grady Ball</origin>
        <origin>Scott Hamshaw</origin>
        <pubdate>20251119</pubdate>
        <title>Quantification of event sediment dynamics from 2007 to 2023 for statistical analyses and Machine Learning application in the Delaware and Illinois River Basins</title>
        <geoform>publication</geoform>
        <pubinfo>
          <pubplace>St. Paul, MN</pubplace>
          <publish>U.S. Geological Survey</publish>
        </pubinfo>
        <onlink>https://doi.org/10.5066/P1492CKA</onlink>
      </citeinfo>
    </citation>
    <descript>
      <abstract>This Data Release contains four child items that represent sequential data processing and modeling steps. 

&lt;Child item 1&gt; Data Preparation contains data inputs and processing steps for select sites in the Delaware and Illinois River Basins (DRB/IRB). This child item includes five sub folders: site info,  streamflow and turbidity time-series,  climatological information,  basin shape statistics, and  basin characteristics and attributes. 

&lt;Child Item 2&gt; Streamflow Event Delineation and Analysis contains scripts that process  data from Child Item 1 to delineate hydrological events, calculates hysteresis indices among other variables, generate hysteresis loops, hydrographs, and climographs, and produce event summary files classifying events into 5, 7, or 9 Hysteresis Index - Concentration Index (HI-CI) classes. 

&lt;Child item 3&gt; Statistical Analysis contains Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) scripts to analyze regional and event variables related to hysteresis. 

&lt;Child item 4&gt; Machine Learning Application contains machine learning scripts using XGBoost classification models to train and test prediction of 5, 7, or 9 HI-CI classes.</abstract>
      <purpose>This research aims to improve understanding of the complex sediment transport process and can lead to more informed inferences about sediment dynamics, hydrology, source, and in channel processes as well as improved predictions of sediment transport. 

Delaware River Basin (DRB) and Illinois River Basin (IRB) are two Integrated Water Science (IWS) basins with a wide range of environmental, hydrologic, and landscape settings and human stressors of water resources. USGS stream gaging at 35 watersheds within these two regional basins were selected to evaluate the storm events and the corresponding sediment and hydrodynamic observations.</purpose>
      <supplinf>Citations included in each child item</supplinf>
    </descript>
    <timeperd>
      <timeinfo>
        <rngdates>
          <begdate>20070101</begdate>
          <enddate>20231231</enddate>
        </rngdates>
      </timeinfo>
      <current>ground condition</current>
    </timeperd>
    <status>
      <progress>Complete</progress>
      <update>None planned</update>
    </status>
    <spdom>
      <bounding>
        <westbc>-92.3730</westbc>
        <eastbc>-71.5430</eastbc>
        <northbc>44.6530</northbc>
        <southbc>36.3151</southbc>
      </bounding>
    </spdom>
    <keywords>
      <theme>
        <themekt>ISO 19115 Topic Category</themekt>
        <themekey>inlandWaters</themekey>
        <themekey>climatologyMeteorologyAtmosphere</themekey>
        <themekey>geoscientificInformation</themekey>
        <themekey>environment</themekey>
      </theme>
      <theme>
        <themekt>None</themekt>
        <themekey>Machine Learning</themekey>
        <themekey>Daymet</themekey>
        <themekey>Principal Component Analysis</themekey>
        <themekey>Linear Discriminant Analysis</themekey>
      </theme>
      <theme>
        <themekt>USGS Thesaurus</themekt>
        <themekey>sediment transport</themekey>
        <themekey>turbidity</themekey>
        <themekey>datasets</themekey>
        <themekey>streamflow</themekey>
      </theme>
      <theme>
        <themekt>USGS Metadata Identifier</themekt>
        <themekey>USGS:68276185d4be02693eeaad8f</themekey>
      </theme>
      <place>
        <placekt>Common geographic areas</placekt>
        <placekey>Illinois</placekey>
        <placekey>Indiana</placekey>
        <placekey>New York</placekey>
        <placekey>New Jersey</placekey>
        <placekey>Pennsylvania</placekey>
        <placekey>Delaware</placekey>
      </place>
    </keywords>
    <accconst>No access constraints. Please see 'Distribution Information' for details.</accconst>
    <useconst>These data are marked with a Creative Common CC0 1.0 Universal License. These data are in the public domain and do not have any use constraints. Users are advised to read the dataset's metadata thoroughly to understand appropriate use and data limitations.</useconst>
    <ptcontac>
      <cntinfo>
        <cntperp>
          <cntper>John (William) Lund</cntper>
          <cntorg>USGS - MIDCONTINENT REGION</cntorg>
        </cntperp>
        <cntpos>Hydrologist</cntpos>
        <cntaddr>
          <addrtype>mailing and physical</addrtype>
          <address>Upper Midwest Water Science Center - University of Minnesota</address>
          <city>St. Paul</city>
          <state>MN</state>
          <postal>55108</postal>
        </cntaddr>
        <cntvoice>763-272-8690</cntvoice>
        <cntemail>jlund@usgs.gov</cntemail>
      </cntinfo>
    </ptcontac>
  </idinfo>
  <dataqual>
    <attracc>
      <attraccr>Verified that attribute values were within expected bounds.</attraccr>
    </attracc>
    <logic>Verified that data values were consistent with the value ranges of the source data.</logic>
    <complete>Data set 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>A formal accuracy assessment of the horizontal positional information in the data set has not been conducted.</horizpar>
      </horizpa>
      <vertacc>
        <vertaccr>A formal accuracy assessment of the vertical positional information in the data set has either not been conducted, or is not applicable.</vertaccr>
      </vertacc>
    </posacc>
    <lineage>
      <procstep>
        <procdesc>Processing described for each dataset in the Entity and Attribute section for each child item.</procdesc>
        <procdate>2025</procdate>
      </procstep>
    </lineage>
  </dataqual>
  <distinfo>
    <distrib>
      <cntinfo>
        <cntorgp>
          <cntorg>U.S. Geological Survey - ScienceBase</cntorg>
        </cntorgp>
        <cntaddr>
          <addrtype>mailing address</addrtype>
          <address>Mail Stop 302</address>
          <city>Denver</city>
          <state>CO</state>
          <postal>80225</postal>
        </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/P1492CKA</networkr>
              </networka>
            </computer>
          </onlinopt>
        </digtopt>
      </digform>
      <fees>None</fees>
    </stdorder>
  </distinfo>
  <metainfo>
    <metd>20251119</metd>
    <metc>
      <cntinfo>
        <cntperp>
          <cntper>John (William) Lund</cntper>
          <cntorg>USGS - MIDCONTINENT REGION</cntorg>
        </cntperp>
        <cntpos>Hydrologist</cntpos>
        <cntaddr>
          <addrtype>mailing and physical</addrtype>
          <address>Upper Midwest Water Science Center - University of Minnesota</address>
          <city>St. Paul</city>
          <state>MN</state>
          <postal>55108</postal>
        </cntaddr>
        <cntvoice>763-272-8690</cntvoice>
        <cntemail>jlund@usgs.gov</cntemail>
      </cntinfo>
    </metc>
    <metstdn>FGDC Content Standard for Digital Geospatial Metadata</metstdn>
    <metstdv>FGDC-STD-001-1998</metstdv>
  </metainfo>
</metadata>
