<?xml version="1.0"?><eml:eml xmlns:eml="https://eml.ecoinformatics.org/eml-2.2.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:stmml="http://www.xml-cml.org/schema/stmml-1.1" packageId="ess-dive-176e3d64cf94e3e-20220504T232424851" system="ess-dive" xsi:schemaLocation="https://eml.ecoinformatics.org/eml-2.2.0 https://eml.ecoinformatics.org/eml-2.2.0/eml.xsd">    <dataset id="dataset.1"><title>QA/QC-ed Groundwater Level Time Series in PLM-1 and PLM-6 Monitoring Wells, East River, Colorado.</title><creator id="5347999708545371">            <individualName><givenName>Boris</givenName><surName>Faybishenko</surName></individualName><organizationName>Lawrence Berkeley National Laboratory</organizationName><electronicMailAddress>bafaybishenko@lbl.gov</electronicMailAddress>                                    <userId directory="https://orcid.org">https://orcid.org/0000-0003-0085-8499</userId>        </creator><creator id="6786828455410988">            <individualName><givenName>Roelof</givenName><surName>Versteeg</surName></individualName><organizationName>Subsurface Insights</organizationName><electronicMailAddress>roelof.versteeg@subsurfaceinsights.com</electronicMailAddress>                                </creator><associatedParty id="7989141573104227"><organizationName>U.S. DOE &#x3E; Office of Science &#x3E; Biological and Environmental Research (BER)</organizationName>                        <userId directory="unknown">http://dx.doi.org/10.13039/100006206</userId>            <role>fundingOrganization</role>        </associatedParty>                                        <pubDate>2022</pubDate>                <abstract><para>Performed Quality Assurance and Quality Control (QA/QC) analysis of measured groundwater levels in monitoring wells PLM-1 and PLM-6, including identification and flagging of duplicated values of timestamps, gap filling of missing timestamps and water levels, removal of abnormal/bad and outliers of measured water levels. The purpose of the QA/QC analysis was to test the application of different QA/QC methods and the development of regular (1-hour and 1-day) time series datasets, which can be served as benchmark for testing other QA/QC techniques, and will be applicable for ecohydrological modeling. The package includes a Readme file, two R Markdown html files, a series of 8 csv files: two input files of irregular measured groundwater levels, two output files with QA/QC flagging of original data, and four QA/QC-ed regular time series datasets. </para></abstract><keywordSet><keyword>PLM monitoring wells</keyword><keyword> Groundwater level</keyword><keyword> QA/QC flagging</keyword><keyword>Quality Assurance/Quality Control flagging</keyword><keyword>Regular time series</keyword><keywordThesaurus>CATEGORICAL:NONE</keywordThesaurus></keywordSet><keywordSet><keyword>Groundwater Level</keyword><keywordThesaurus>VARIABLE:NONE</keywordThesaurus></keywordSet>                        <additionalInfo><section><title>Related References</title><para>Additional metadata on specific locations within the watershed are provided in the following related data package:</para><para>Varadharajan C ; Kakalia Z ; Banfield J ; Berkelhammer M ; Brodie E ; Christianson D ; Dafflon B ; Carbone M S ; Carroll R ; Chadwick K D ; Christensen J ; Enquist B J ; Fox P ; Henderson M ; Gochis D ; Kueppers L ; Powell T ; Matheus Carnevali P ; Singha K ; Sorensen P ; Tokunaga T ; Versteeg R ; Wilkins M ; Williams K ; Worsham M ; Wu Y ; Agarwal D (2020): Location Identifiers, Metadata, and Map for Field Measurements at the East River Watershed, Colorado, USA. Watershed Function SFA. doi:10.15485/1660962</para></section></additionalInfo>        <intellectualRights><para>This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.</para></intellectualRights>        <coverage>            <temporalCoverage><rangeOfDates><beginDate><calendarDate>2016-11-30</calendarDate></beginDate><endDate><calendarDate>2020-09-22</calendarDate></endDate></rangeOfDates></temporalCoverage>            <geographicCoverage>                <geographicDescription>The East River (ER) is a snow‐dominated, headwater basin of the Upper Colorado River Basin (UCRB) located in the western United States. The ER is the designated testbed of Lawrence Berkeley National Laboratory's Watershed Function Scientific Focus Area (WFSFA). Through WFSFA, observational networks have been established to measure stream discharge and precipitation chemistry. The ER is considered representative of many snow‐dominated headwaters of the Rocky Mountains. The study domain encompasses nearly 85 square km, a 1.4‐km vertical drop in elevation (4,120 to 2,760 m) and pristine alpine, subalpine, montane, and riparian ecosystems. The ER contains high‐energy mountain streams to low‐energy meandering floodplains and is eroding primarily into the Cretaceous, carbon‐rich, marine shale of the Mancos Formation. Additional metadata on specific locations within the watershed are provided in the following related data package: Varadharajan C. et al. (2020) doi:10.15485/1660962</geographicDescription>                <boundingCoordinates><westBoundingCoordinate>-107.05</westBoundingCoordinate><eastBoundingCoordinate>-106.88</eastBoundingCoordinate><northBoundingCoordinate>39.034</northBoundingCoordinate><southBoundingCoordinate>38.88</southBoundingCoordinate></boundingCoordinates>            </geographicCoverage>        </coverage><contact id="5529637213113805">            <individualName><givenName>Boris</givenName><surName>Faybishenko</surName></individualName><organizationName>Lawrence Berkeley National Laboratory</organizationName><electronicMailAddress>bafaybishenko@lbl.gov</electronicMailAddress>                                    <userId directory="https://orcid.org">https://orcid.org/0000-0003-0085-8499</userId>        </contact><methods>            <methodStep>                <description><para>QA/QC of time series using a numerical code written in an R language and environment for statistical computing, with the application of R libraries 'xts', 'zoo', and 'highfrequency'.</para></description>            </methodStep>        </methods><project>            <title>Watershed Function SFA</title>            <personnel>                <individualName>                    <givenName>Susan</givenName>                    <surName>Hubbard</surName>                </individualName>                <organizationName>Lawrence Berkeley National Laboratory</organizationName>                <electronicMailAddress>sshubbard@lbl.gov</electronicMailAddress>                <role>Principal Investigator</role>            </personnel>            <funding>                            <para>DOE:DEAC0205CH11231 (Lawrence  Berkeley National Laboratory)</para></funding>        </project><otherEntity id="ess-dive-e3e2468b50a78ba-20220504T182531879805">            <entityName>QAQC_PLM-1_6_groundwater_2016_2020.zip</entityName>            <entityType>application/zip</entityType>        </otherEntity>                                    </dataset></eml:eml>