Kepler

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<dataset>

<alternateIdentifier>POR-GCEM-1006.1.1</alternateIdentifier>

<title>Soil salinity and organic content at GCE-LTER vegetation monitoring plots in October 2009</title>

<creator id="GCE-LTER"><organizationName>Georgia Coastal Ecosystems LTER Project</organizationName>

<address>

<deliveryPoint>Dept. of Marine Sciences</deliveryPoint>

<deliveryPoint>University of Georgia</deliveryPoint>

<city>Athens</city>

<administrativeArea>Georgia</administrativeArea>

<postalCode>30602-3636</postalCode>

<country>USA</country>

</address>

<electronicMailAddress>gcelter@uga.edu</electronicMailAddress>

<onlineUrl>http://gce-lter.marsci.uga.edu/</onlineUrl>

</creator>

<creator>

<individualName>

<salutation>Dr.</salutation>

<givenName>Steven</givenName>

<givenName>C.</givenName>

<surName>Pennings</surName>

</individualName>

<organizationName>University of Houston</organizationName>

<address>

<deliveryPoint>Department of Biology and Biochemistry</deliveryPoint>

<deliveryPoint>University of Houston</deliveryPoint>

<city>Houston</city>

<administrativeArea>Texas</administrativeArea>

<postalCode>77204-5513</postalCode>

<country>USA</country>

</address>

<electronicMailAddress>scpennin@central.uh.edu</electronicMailAddress>

<onlineUrl>http://www.bchs.uh.edu/~steve/</onlineUrl>

</creator>

<metadataProvider><references>GCE-LTER</references></metadataProvider>

<associatedParty>

<individualName>

<givenName>Kristen</givenName>

<surName>Anstead</surName>

</individualName>

<organizationName>University of Georgia Marine Institute</organizationName>

<electronicMailAddress>kanstead@uga.edu</electronicMailAddress>

<role>research technician</role>

</associatedParty>

<pubDate>2011</pubDate>

<abstract>

<para>Soil samples were collected in conjunction with Fall 2009 plant monitoring at half of the permanent vegetation monitoring plots in the creekbank and midmarsh zones at 10 GCE study sites. Pore-water salinity was determined by analysis of supernatant salinity in dried soil samples hydrated with a measured volume of deionized water. Organic content was measured gravimetrically by comparing ash-free dry weight and total weight of soil samples.</para>

</abstract>

<keywordSet>

<keyword keywordType="place">Georgia</keyword>

<keyword keywordType="place">Sapelo Island</keyword>

<keyword keywordType="place">USA</keyword>

<keyword keywordType="theme">GCE</keyword>

<keyword keywordType="theme">LTER</keyword>

<keywordThesaurus>GCE-LTER Controlled Vocabulary</keywordThesaurus>

</keywordSet>

<keywordSet>

<keyword keywordType="theme">chemistry</keyword>

<keyword keywordType="theme">marshes</keyword>

<keyword keywordType="theme">mud</keyword>

<keyword keywordType="theme">permanent plots</keyword>

<keyword keywordType="theme">porewater</keyword>

<keyword keywordType="theme">salinity</keyword>

<keyword keywordType="theme">sediments</keyword>

<keyword keywordType="theme">soils</keyword>

<keywordThesaurus>LTER Controlled Vocabulary</keywordThesaurus>

</keywordSet>

<keywordSet>

<keyword keywordType="theme">Organic Matter</keyword>

<keywordThesaurus>LTER Core Research Areas</keywordThesaurus>

</keywordSet>

<intellectualRights>

<para>All publications based on this data set must cite the contributor and Georgia Coastal Ecosystems LTER project, and two copies of the manuscript must be submitted to the GCE-LTER Information Management Office.</para>

</intellectualRights>

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<online>

<url function="information">http://gce-lter.marsci.uga.edu/public/app/dataset_details.asp?accession=POR-GCEM-1006</url>

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<coverage>

<geographicCoverage>

<geographicDescription>Overall bounding box describing the geographic region within the Georgia Coastal Ecosystems LTER study domain represented in data set POR-GCEM-1006, based on the maximum geographic extents of all site polygons referenced in the data set</geographicDescription>

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<temporalCoverage>

<rangeOfDates>

<beginDate>

<calendarDate>2009-10-26</calendarDate>

</beginDate>

<endDate>

<calendarDate>2009-10-28</calendarDate>

</endDate>

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<contact><positionName>GCE-LTER Information Manager</positionName>

<address>

<deliveryPoint>Dept. of Marine Sciences</deliveryPoint>

<deliveryPoint>University of Georgia</deliveryPoint>

<city>Athens</city>

<administrativeArea>Georgia</administrativeArea>

<postalCode>30602-3636</postalCode>

<country>USA</country>

</address>

<electronicMailAddress>gcelter@uga.edu</electronicMailAddress>

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<publisher><references>GCE-LTER</references></publisher>

<methods>

<methodStep>

<description>

<section>

<title>Soil Sampling</title>

<para>Soil cores 5 cm diameter and 5 cm deep were collected adjacent to permanent vegetation plots.</para>

</section>

</description>

</methodStep>

<methodStep>

<description>

<section>

<title>Soil Analysis</title>

<para>The water content of soil samples was determined gravimetrically by drying samples at 55 degrees Celsius in an oven for 7 days and comparing sample weight before and after drying. Porewater salinity was determined by adding 30-80 ml of deionized water to the dried soil samples using a graduated cylinder, with volume depending on the size of the sample, mixing, waiting 48 hours, measuring the salinity of the supernatant using a hand-held refractometer, and back-calculating to the original salinity based on volume of deionized water added and original water content. Organic content was determined by ashing dried samples of soil at 450 degrees Celsius for 10 hours and comparing ash-free dry weight to total dry weight.</para>

</section>

</description>

<instrumentation>Drying oven; manufacturer: Fisher Scientific (model: 750G)</instrumentation>

<instrumentation>Electronic Balance; manufacturer: Mettler (model: PM2000); parameter: mass (readability: 0.01g, range: 0-2100g)</instrumentation>

<instrumentation>Refractometer; manufacturer: Milwaukee Instruments (model: MR100ATC); parameter: salinity (accuracy: 1, readability: 1, range: 0-100)</instrumentation>

<instrumentation>Muffle furnace</instrumentation>

</methodStep>

<sampling>

<studyExtent>

<coverage>

<temporalCoverage>

<rangeOfDates>

<beginDate>

<calendarDate>2009-10-26</calendarDate>

</beginDate>

<endDate>

<calendarDate>2009-10-28</calendarDate>

</endDate>

</rangeOfDates>

</temporalCoverage>

</coverage>

<coverage>

<geographicCoverage>

<geographicDescription>GCE Study Site GCE1 -- Eulonia, Georgia, USA.  Transitional salt marsh/upland forest site at the upper reach of the Sapelo River near Eulonia, Georgia. The main marsh area is to the north of the channel where the upland is controlled by DNR. Several small creeks lie within the study area.  Residential development is increasing on the upland areas south of the channel. A hydrographic sonde is deployed within this site attached to a private dock to the south of the main channel near the HW-17 bridge.</geographicDescription>

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<northBoundingCoordinate>31.546750</northBoundingCoordinate>

<southBoundingCoordinate>31.533963</southBoundingCoordinate>

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</geographicCoverage>

<geographicCoverage>

<geographicDescription>GCE Study Site GCE2 -- Four Mile Island, Georgia, USA.  Low salt marsh/estuary site encompassing the southwestern end of Four Mile Island and the Sapelo River near Sapelo Sound. The large island is totally marsh, with no upland, and no development. Nearby areas, like "Sutherland Bluff", are developing with golf courses. A hydrographic sonde is deployed within this site attached to channel marker 4 (under U.S. Coast Guard permit). Salinity regime is similar to seawater.</geographicDescription>

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<southBoundingCoordinate>31.533604</southBoundingCoordinate>

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<geographicCoverage>

<geographicDescription>GCE Study Site GCE3 -- North Sapelo, Sapelo Island, Georgia, USA.  High salinity marsh/Sapelo Sound site.  Few or no small creeks, but one large creek is easily accessed. Further upstream upland drainage is affected by culvert at Reynolds' duck pond. Upland is heavily forested. Hydrographic sonde is deployed adjacent to this site attached to a channel marker (under U.S. Coast Guard permit). A huge mud flat is present at the northern tip of Sapelo Island.</geographicDescription>

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<southBoundingCoordinate>31.515188</southBoundingCoordinate>

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<geographicCoverage>

<geographicDescription>GCE Study Site GCE4 -- Meridian, Georgia, USA.  Inland marsh and tidal creek site near Meridian, Georgia. The primary marsh site is to the south of the dock in front of the Sapelo Island Visitor Center. Some small creeks and one large creek (Hudson Creek) are present. Upland is heavily forested. Marsh to the north of the dock can be used for additional studies if larger areas are required. Upland to the North is being developed for residential use, so future access is uncertain. The USGS super station site (weather station plus multiple-sensor sonde) is deployed off the ferry dock. Salinity is similar to seawater because there is little freshwater input from the upland.</geographicDescription>

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<southBoundingCoordinate>31.448419</southBoundingCoordinate>

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<geographicCoverage>

<geographicDescription>GCE Study Site GCE5 -- Folly River, Georgia, USA.  Salt marsh/tidal creek site at the Folly River near Doboy Sound.  No upland areas present. The north side of Doboy Sound immediately opposite is similar, but creeks are not as nice. No existing markers are close enough for sonde deployment, so we will initially use the existing sonde at Marsh Landing operated by UGAMI for surrogate hydrographic data.</geographicDescription>

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<geographicCoverage>

<geographicDescription>GCE Study Site GCE6 -- Dean Creek, Sapelo Island, Georgia, USA.  Doboy Sound/salt marsh site at the southern end of Sapelo Island near Dean Creek and the Sapelo lighthouse.  A few small creeks are present, but a large creek (Dean Creek) is easily accessed. Upland is composed of small hammocks and some constructed causeways, with sand dune complexes east of Dean Creek and extending to the beach. Upper end of the watershed is affected by a culvert at Beach Road and heavy student use of marsh immediately adjacent to culvert. A hydrographic sonde is deployed in Doboy Sound near Commodore Island approximately 1.5km from this site. GCE6 is also the focus of Sapelo Island Microbial Observatory research on microbial diversity  and  genomics (http://simo.marsci.uga.edu)</geographicDescription>

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<southBoundingCoordinate>31.371003</southBoundingCoordinate>

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<geographicCoverage>

<geographicDescription>GCE Study Site GCE7 -- Carrs Island, Georgia, USA.  Freshwater marsh site along the northern bank of Hammersmith Creek at the south end of Carrs Island. Upland area is heavily forested. Northern 3/4 of the island was diked for rice agriculture, but the southern 1/4 is undisturbed. A hydrographic sonde is deployed in the Altamaha River near Hammersmith Creek, adjacent to this site.</geographicDescription>

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<southBoundingCoordinate>31.334364</southBoundingCoordinate>

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<geographicCoverage>

<geographicDescription>GCE Study Site GCE8 -- Alligator Creek, Georgia, USA.  Mid-estuary/salt marsh site on the west side of Friday Cap Creek along the Altamaha River. This is a brackish marsh with salinities around 14 PSU during drought, less than 5 PSU normally. A hydrographic sonde is deployed adjacent to this site in the Altamaha River near Alligator Creek, attached to the US Coast Guard Daymarker 2 pilings.</geographicDescription>

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<southBoundingCoordinate>31.304063</southBoundingCoordinate>

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<geographicCoverage>

<geographicDescription>GCE Study Site GCE9 -- Rockdedundy Island, Georgia, USA.  Lower estuary tidal creek and marsh site at Rockdedundy Island west of Wolf Island. A hydrographic sonde is deployed approximately 2km from this site in the Altamaha River near Rockdedundy Island, attached to the US Coast Guard Daymarker 201 pilings.</geographicDescription>

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<southBoundingCoordinate>31.339173</southBoundingCoordinate>

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</geographicCoverage>

<geographicCoverage>

<geographicDescription>GCE Study Site GCE10 -- Hunt Camp, Sapelo Island, Georgia, USA.  Barrier island/marsh site on western Sapelo Island.  This site is located at the upper reaches of the Duplin River, and is within the Sapelo Island National Estuarine Research Reserve. Existing well fields border small marsh area to northwest, some wells have been installed to south end of hammock where marsh is more extensive and permanent plots are located. Two existing hydrographic sondes and weather stations within this site are operated by SINERR (Hunt Camp dock) and UGAMI (flume dock).</geographicDescription>

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<northBoundingCoordinate>31.497026</northBoundingCoordinate>

<southBoundingCoordinate>31.462320</southBoundingCoordinate>

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</geographicCoverage>

</coverage>

</studyExtent>

<samplingDescription>

<section>

<title>Soil Analysis</title>

<para>Samples were taken adjacent to every other permanent vegetation monitoring plot.</para>

<para>Salinity, water, and organic content were measured in soil samples adjacent to GCE-LTER permanent vegetation plots in the fall of 2009.</para>

<para>Core samples were collected from soil adjacent to 4 permanent vegetation plots in high marsh, creekbank marsh and Juncus zones (when present) at 10 GCE-LTER marsh study sites.</para>

</section>

</samplingDescription>

<spatialSamplingUnits>

<referencedEntityId>POR-GCEM-1006.kml</referencedEntityId>

</spatialSamplingUnits>

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</methods>

<project><title>Georgia Coastal Ecosystems LTER Project II</title>

<personnel>

<individualName>

<givenName>Merryl</givenName>

<surName>Alber</surName>

</individualName>

<role>principalInvestigator</role>

</personnel>

<personnel>

<individualName>

<givenName>Steven</givenName>

<givenName>C.</givenName>

<surName>Pennings</surName>

</individualName>

<role>principalInvestigator</role>

</personnel>

<personnel>

<individualName>

<givenName>Wade</givenName>

<givenName>M.</givenName>

<surName>Sheldon</surName>

</individualName>

<role>informationManager</role>

</personnel>

<abstract>

<para>The Georgia Coastal Ecosystems (GCE) LTER program, located on the central Georgia coast, was established in 2000. The study domain encompasses three adjacent sounds (Altamaha, Doboy, Sapelo) and includes upland (mainland, barrier islands, marsh hammocks), intertidal (fresh, brackish and salt marsh) and submerged (river, estuary, continental shelf) habitats. Patterns and processes in this complex landscape vary spatially within and between sites, and temporally on multiple scales (tidal, diurnal, seasonal, and interannual). Overlain on this spatial and temporal variation are long-term trends caused by climate change, sea level rise, and human alterations of the landscape. These long-term trends are likely to manifest in many ways, including changes in water quality, river discharge, runoff and tidal inundation patterns throughout the estuarine landscape. The overarching goal of the GCE program is to understand the mechanisms by which variation in the quality, source and amount of both fresh and salt water create temporal and spatial variability in estuarine habitats and processes, in order to predict directional changes that will occur in response to long-term shifts in estuarine salinity patterns.</para>

</abstract>

<funding>

<para>This material is based upon work supported by the National Science Foundation under grant numbers OCE-9982133 and OCE-0620959. Any opinions, findings, conclusions, or recommendations expressed in the material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.</para>

</funding>

</project>

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<url function="download">http://metacat.lternet.edu/das/dataAccessServlet?docid=knb-lter-gce.327.13&amp;urlTail=accession=POR-GCEM-1006&amp;filename=POR-GCEM-1006_1_1.TXT</url>

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<methods>

<methodStep>

<description>&lt;para&gt;Data file post-processing in the GCE-LTER Information Management Office&lt;/para&gt;</description>

<software><title>GCE Data Toolbox for MATLAB(r)</title>

<creator>

<individualName>

<salutation>Mr.</salutation>

<givenName>Wade</givenName>

<givenName>M.</givenName>

<surName>Sheldon</surName>

</individualName>

<address>

<deliveryPoint>Dept. of Marine Sciences</deliveryPoint>

<deliveryPoint>University of Georgia</deliveryPoint>

<city>Athens</city>

<administrativeArea>Georgia</administrativeArea>

<postalCode>30602-3636</postalCode>

<country>USA</country>

</address>

<electronicMailAddress>sheldon@uga.edu</electronicMailAddress>

<onlineUrl>http://gce-lter.marsci.uga.edu/public/app/personnel_bios.asp?id=wsheldon</onlineUrl>

</creator>

<associatedParty>

<organizationName>Georgia Coastal Ecosystems LTER Project</organizationName>

<address>

<deliveryPoint>Dept. of Marine Sciences</deliveryPoint>

<deliveryPoint>University of Georgia</deliveryPoint>

<city>Athens</city>

<administrativeArea>Georgia</administrativeArea>

<postalCode>30602-3636</postalCode>

<country>USA</country>

</address>

<electronicMailAddress>gcelter@uga.edu</electronicMailAddress>

<role>sponsoring research program</role>

</associatedParty>

<abstract>

<para>The GCE Data Toolbox is a comprehensive library of functions for metadata-based analysis

quality control, transformation and management of ecological data sets. The toolbox is based on the GCE Data 

Structure, a MATLAB specification for storing tabular data along with all information required to interpret 

the data and generate formatted metadata (documentation). Metadata fields in the structure are queried 

by toolbox functions for all operations, allowing functions to process and format values appropriately 

based on the type of information they represent. This semantic processing approach supports highly 

automated and intelligent data analysis and ensures data set validity throughout all processing steps.</para>

</abstract>

<implementation>

<distribution>

<online>

<url function="information">http://gce-lter.marsci.uga.edu/public/im/tools/toolbox_download.htm</url>

</online>

</distribution>

<operatingSystem>Linux</operatingSystem>

<operatingSystem>Microsoft Windows</operatingSystem>

<operatingSystem>Sun Solaris</operatingSystem>

<operatingSystem>Apple Macintosh OS/X</operatingSystem>

<programmingLanguage>MATLAB</programmingLanguage>

</implementation>

<version>3.x</version></software>

<subStep>

<description>

<para>11/12/2010: new GCE Data Structure 1.1 created ("newstruct")</para>

</description>

</subStep>

<subStep>

<description>

<para>11/12/2010: 84 rows imported from ASCII data file "POR-GCEM-1006.TXT" ("imp_ascii")</para>

</description>

</subStep>

<subStep>

<description>

<para>11/12/2010: 13 metadata fields in file header parsed ("parse_header")</para>

</description>

</subStep>

<subStep>

<description>

<para>11/12/2010: data structure validated ("gce_valid")</para>

</description>

</subStep>

<subStep>

<description>

<para>11/12/2010: Q/C flagging criteria applied, "flags" field updated ("dataflag")</para>

</description>

</subStep>

<subStep>

<description>

<para>11/12/2010: automatically assigned study date metadata descriptors based on the range of date values in date/time columns (add_studydates)</para>

</description>

</subStep>

<subStep>

<description>

<para>11/12/2010: imported Dataset, Project, Site, Study, Status, Supplement metadata descriptors from the GCE Metabase ("imp_gcemetadata")</para>

</description>

</subStep>

<subStep>

<description>

<para>11/12/2010: updated 66 metadata fields in the Data, Dataset, Project, Site, Status, Study, Supplement sections ("imp_gcemetadata")</para>

</description>

</subStep>

<subStep>

<description>

<para>11/22/2010: 19 values in "Plot" were updated with new values ("update_data"): changed record 2 from 3 to 13, changed record 3 from 6 to 36, changed record 4 from 8 to 18, changed record 9 from 1 to 11, changed record 10 from 3 to 23, changed record 12 from 8 to 38, changed record 20 from 8 to 18, changed record 27 from 6 to 26, changed record 35 from 6 to 16, changed record 42 from 3 to 33, changed record 57 from 1 to 21, changed record 59 from 6 to 26, changed record 60 from 8 to 28, changed record 62 from 3 to 13, changed record 64 from 8 to 18, changed record 65 from 1 to 11, changed record 66 from 3 to 23, changed record 67 from 6 to 16, changed record 68 from 8 to 18</para>

</description>

</subStep>

<subStep>

<description>

<para>11/22/2010: Q/C flagging criteria applied for column(s) Plot, "flags" field updated ("dataflag")</para>

</description>

</subStep>

<subStep>

<description>

<para>11/22/2010: imported Dataset, Project, Site, Study, Status, Supplement metadata descriptors from the GCE Metabase ("imp_gcemetadata")</para>

</description>

</subStep>

<subStep>

<description>

<para>11/22/2010: updated 65 metadata fields in the Data, Dataset, Project, Site, Status, Study, Supplement sections ("imp_gcemetadata")</para>

</description>

</subStep>

<subStep>

<description>

<para>11/22/2010: Q/C flagging criteria of column Plot edited ("ui_editor")</para>

</description>

</subStep>

<subStep>

<description>

<para>11/22/2010: Q/C flagging criteria applied for column(s) Plot, "flags" field updated ("dataflag")</para>

</description>

</subStep>

<subStep>

<description>

<para>11/22/2010: updated 4 metadata fields ("addmeta")</para>

</description>

</subStep>

<subStep>

<description>

<para>11/22/2010: updated 15 metadata fields in the Status, Data sections to reflect attribute metadata ("updatecols")</para>

</description>

</subStep>

</methodStep>

<qualityControl>

<description>

<para>Quality control analysis was performed using the GCE Data Toolbox for MATLAB software. Column data types are validated upon importing the table into MATLAB, and qualifier flags are automatically generated for data values based on QA/QC criteria for each data column pre-defined in metadata templates (e.g. value range checks, sanity checks, pattern checks). Automatically-assigned qualifier flags are reviewed graphically and revised or augmented as deemed appropriate by GCE information management staff, based on metadata information from the contributor, values of other measured variables, or statistical tests. Qualifier flags are also assigned to values that are imputed or derived, revised, or otherwise differ from values in the original data submission. A column of coded qualifier flags is generated and included in the data table if flags are assigned to any value in a data column.</para>

</description>

</qualityControl>

</methods>

<attributeList>

<attribute id="POR-GCEM-1006.1">

<attributeName>Year</attributeName>

<attributeDefinition>Calendar year sample was collected</attributeDefinition>

<storageType>integer</storageType>

<measurementScale>

<dateTime>

<formatString>YYYY</formatString>

<dateTimePrecision>1</dateTimePrecision>

<dateTimeDomain/>

</dateTime>

</measurementScale>

<missingValueCode>

<code>NaN</code>

<codeExplanation>value not recorded or censored based on quality control analysis (see entity methods)</codeExplanation>

</missingValueCode>

</attribute>

<attribute id="POR-GCEM-1006.2">

<attributeName>Month</attributeName>

<attributeDefinition>Calenday month sample was collected</attributeDefinition>

<storageType>integer</storageType>

<measurementScale>

<dateTime>

<formatString>MM</formatString>

<dateTimePrecision>1</dateTimePrecision>

<dateTimeDomain>

<bounds>

<minimum exclusive="false">1</minimum>

<maximum exclusive="false">12</maximum>

</bounds>

</dateTimeDomain>

</dateTime>

</measurementScale>

<missingValueCode>

<code>NaN</code>

<codeExplanation>value not recorded or censored based on quality control analysis (see entity methods)</codeExplanation>

</missingValueCode>

</attribute>

<attribute id="POR-GCEM-1006.3">

<attributeName>Day</attributeName>

<attributeDefinition>Calendar day sample was collected</attributeDefinition>

<storageType>integer</storageType>

<measurementScale>

<dateTime>

<formatString>DD</formatString>

<dateTimePrecision>1</dateTimePrecision>

<dateTimeDomain>

<bounds>

<minimum exclusive="false">1</minimum>

<maximum exclusive="false">31</maximum>

</bounds>

</dateTimeDomain>

</dateTime>

</measurementScale>

<missingValueCode>

<code>NaN</code>

<codeExplanation>value not recorded or censored based on quality control analysis (see entity methods)</codeExplanation>

</missingValueCode>

</attribute>

<attribute id="POR-GCEM-1006.4">

<attributeName>Site</attributeName>

<attributeDefinition>GCE study site code</attributeDefinition>

<storageType>integer</storageType>

<measurementScale>

<nominal>

<nonNumericDomain>

<enumeratedDomain>

<codeDefinition>

<code>1</code>

<definition>GCE1 (Eulonia)</definition>

</codeDefinition>

<codeDefinition>

<code>2</code>

<definition>GCE2 (Four Mile Island)</definition>

</codeDefinition>

<codeDefinition>

<code>3</code>

<definition>GCE3 (North Sapelo)</definition>

</codeDefinition>

<codeDefinition>

<code>4</code>

<definition>GCE4 (Meridian)</definition>

</codeDefinition>

<codeDefinition>

<code>5</code>

<definition>GCE5 (Folly River)</definition>

</codeDefinition>

<codeDefinition>

<code>6</code>

<definition>GCE6 (Dean Creek)</definition>

</codeDefinition>

<codeDefinition>

<code>7</code>

<definition>GCE7 (Carrs Island)</definition>

</codeDefinition>

<codeDefinition>

<code>8</code>

<definition>GCE8 (Alligator Creek)</definition>

</codeDefinition>

<codeDefinition>

<code>9</code>

<definition>GCE9 (Rockdedundy Island)</definition>

</codeDefinition>

<codeDefinition>

<code>10</code>

<definition>GCE10 (Hunt Camp)</definition>

</codeDefinition>

</enumeratedDomain>

</nonNumericDomain>

</nominal>

</measurementScale>

<missingValueCode>

<code>NaN</code>

<codeExplanation>value not recorded or censored based on quality control analysis (see entity methods)</codeExplanation>

</missingValueCode>

</attribute>

<attribute id="POR-GCEM-1006.5">

<attributeName>Zone</attributeName>

<attributeDefinition>Marsh zone</attributeDefinition>

<storageType>integer</storageType>

<measurementScale>

<nominal>

<nonNumericDomain>

<enumeratedDomain>

<codeDefinition>

<code>1</code>

<definition>Creekbank zone</definition>

</codeDefinition>

<codeDefinition>

<code>2</code>

<definition>Mid-marsh zone</definition>

</codeDefinition>

<codeDefinition>

<code>3</code>

<definition>High marsh Juncus zone</definition>

</codeDefinition>

</enumeratedDomain>

</nonNumericDomain>

</nominal>

</measurementScale>

<missingValueCode>

<code>NaN</code>

<codeExplanation>value not recorded or censored based on quality control analysis (see entity methods)</codeExplanation>

</missingValueCode>

</attribute>

<attribute id="POR-GCEM-1006.6">

<attributeName>Plot</attributeName>

<attributeDefinition>Plot number</attributeDefinition>

<storageType>integer</storageType>

<measurementScale>

<ordinal>

<nonNumericDomain>

<textDomain>

<definition>Plot number</definition>

</textDomain>

</nonNumericDomain>

</ordinal>

</measurementScale>

<missingValueCode>

<code>NaN</code>

<codeExplanation>value not recorded or censored based on quality control analysis (see entity methods)</codeExplanation>

</missingValueCode>

</attribute>

<attribute id="POR-GCEM-1006.7">

<attributeName>Soil_Total_Weight</attributeName>

<attributeDefinition>Weight of soil before drying</attributeDefinition>

<storageType>float</storageType>

<measurementScale>

<ratio>

<unit>

<standardUnit>gram</standardUnit>

</unit>

<precision>0.01</precision>

<numericDomain>

<numberType>real</numberType>

<bounds>

<minimum exclusive="false">0</minimum>

</bounds>

</numericDomain>

</ratio>

</measurementScale>

<missingValueCode>

<code>NaN</code>

<codeExplanation>value not recorded or censored based on quality control analysis (see entity methods)</codeExplanation>

</missingValueCode>

</attribute>

<attribute id="POR-GCEM-1006.8">

<attributeName>Soil_Dry_Weight</attributeName>

<attributeDefinition>Weight of soil after drying</attributeDefinition>

<storageType>float</storageType>

<measurementScale>

<ratio>

<unit>

<standardUnit>gram</standardUnit>

</unit>

<precision>0.01</precision>

<numericDomain>

<numberType>real</numberType>

<bounds>

<minimum exclusive="false">0</minimum>

</bounds>

</numericDomain>

</ratio>

</measurementScale>

<missingValueCode>

<code>NaN</code>

<codeExplanation>value not recorded or censored based on quality control analysis (see entity methods)</codeExplanation>

</missingValueCode>

</attribute>

<attribute id="POR-GCEM-1006.9">

<attributeName>Soil_Water_Content</attributeName>

<attributeDefinition>Weight of water in soil calculated by subtraction of dry weight from initial weight</attributeDefinition>

<storageType>float</storageType>

<measurementScale>

<ratio>

<unit>

<standardUnit>gram</standardUnit>

</unit>

<precision>0.01</precision>

<numericDomain>

<numberType>real</numberType>

<bounds>

<minimum exclusive="false">0</minimum>

</bounds>

</numericDomain>

</ratio>

</measurementScale>

<missingValueCode>

<code>NaN</code>

<codeExplanation>value not recorded or censored based on quality control analysis (see entity methods)</codeExplanation>

</missingValueCode>

<methods>

<methodStep>

<description>

<para>Calculations: Soil_Total_Weight - Soil_Dry_Weight</para>

</description>

</methodStep>

</methods>

</attribute>

<attribute id="POR-GCEM-1006.10">

<attributeName>Soil_Water_Percent</attributeName>

<attributeDefinition>Percentage of water in soil calculated from dry weight and initial weight</attributeDefinition>

<storageType>float</storageType>

<measurementScale>

<ratio>

<unit>

<customUnit>percent</customUnit>

</unit>

<precision>0.01</precision>

<numericDomain>

<numberType>real</numberType>

<bounds>

<minimum exclusive="false">0</minimum>

<maximum exclusive="false">100</maximum>

</bounds>

</numericDomain>

</ratio>

</measurementScale>

<missingValueCode>

<code>NaN</code>

<codeExplanation>value not recorded or censored based on quality control analysis (see entity methods)</codeExplanation>

</missingValueCode>

<methods>

<methodStep>

<description>

<para>Calculations: (Soil_Water_Content/Soil_Total_Weight)*100</para>

</description>

</methodStep>

</methods>

</attribute>

<attribute id="POR-GCEM-1006.11">

<attributeName>Soil_Salinity_Supernatant</attributeName>

<attributeDefinition>Salinity of soil sample supernatant after resuspension of dried soil in 40ml deionized water</attributeDefinition>

<storageType>float</storageType>

<measurementScale>

<ratio>

<unit>

<standardUnit>dimensionless</standardUnit>

</unit>

<precision>1</precision>

<numericDomain>

<numberType>real</numberType>

<bounds>

<minimum exclusive="false">0</minimum>

<maximum exclusive="false">100</maximum>

</bounds>

</numericDomain>

</ratio>

</measurementScale>

<missingValueCode>

<code>NaN</code>

<codeExplanation>value not recorded or censored based on quality control analysis (see entity methods)</codeExplanation>

</missingValueCode>

</attribute>

<attribute id="POR-GCEM-1006.12">

<attributeName>Soil_Salinity_Porewater</attributeName>

<attributeDefinition>Porewater salinity calculated from soil sample dry weight and salinity of supernatant after resuspension in water</attributeDefinition>

<storageType>float</storageType>

<measurementScale>

<ratio>

<unit>

<standardUnit>dimensionless</standardUnit>

</unit>

<precision>0.01</precision>

<numericDomain>

<numberType>real</numberType>

<bounds>

<minimum exclusive="false">0</minimum>

</bounds>

</numericDomain>

</ratio>

</measurementScale>

<missingValueCode>

<code>NaN</code>

<codeExplanation>value not recorded or censored based on quality control analysis (see entity methods)</codeExplanation>

</missingValueCode>

<methods>

<methodStep>

<description>

<para>Calculations: Soil_Salinity_Supernatant*40/Soil_Water_Content</para>

</description>

</methodStep>

</methods>

</attribute>

<attribute id="POR-GCEM-1006.13">

<attributeName>Crucible_Weight</attributeName>

<attributeDefinition>Weight of empty crucible</attributeDefinition>

<storageType>float</storageType>

<measurementScale>

<ratio>

<unit>

<standardUnit>gram</standardUnit>

</unit>

<precision>0.01</precision>

<numericDomain>

<numberType>real</numberType>

<bounds>

<minimum exclusive="false">0</minimum>

</bounds>

</numericDomain>

</ratio>

</measurementScale>

<missingValueCode>

<code>NaN</code>

<codeExplanation>value not recorded or censored based on quality control analysis (see entity methods)</codeExplanation>

</missingValueCode>

</attribute>

<attribute id="POR-GCEM-1006.14">

<attributeName>Soil_Crucible_Wet_Weight</attributeName>

<attributeDefinition>Weight of crucible and dried soil sample before combustion</attributeDefinition>

<storageType>float</storageType>

<measurementScale>

<ratio>

<unit>

<standardUnit>gram</standardUnit>

</unit>

<precision>0.01</precision>

<numericDomain>

<numberType>real</numberType>

<bounds>

<minimum exclusive="false">0</minimum>

</bounds>

</numericDomain>

</ratio>

</measurementScale>

<missingValueCode>

<code>NaN</code>

<codeExplanation>value not recorded or censored based on quality control analysis (see entity methods)</codeExplanation>

</missingValueCode>

</attribute>

<attribute id="POR-GCEM-1006.15">

<attributeName>Soil_Crucible_Ash_Weight</attributeName>

<attributeDefinition>Weight of crucible and sample after combustion (ash free dry weight)</attributeDefinition>

<storageType>float</storageType>

<measurementScale>

<ratio>

<unit>

<standardUnit>gram</standardUnit>

</unit>

<precision>0.01</precision>

<numericDomain>

<numberType>real</numberType>

<bounds>

<minimum exclusive="false">0</minimum>

</bounds>

</numericDomain>

</ratio>

</measurementScale>

<missingValueCode>

<code>NaN</code>

<codeExplanation>value not recorded or censored based on quality control analysis (see entity methods)</codeExplanation>

</missingValueCode>

</attribute>

<attribute id="POR-GCEM-1006.16">

<attributeName>Soil_Organic_Content</attributeName>

<attributeDefinition>Mass of organic matter lost on combustion</attributeDefinition>

<storageType>float</storageType>

<measurementScale>

<ratio>

<unit>

<standardUnit>gram</standardUnit>

</unit>

<precision>0.01</precision>

<numericDomain>

<numberType>real</numberType>

<bounds>

<minimum exclusive="false">0</minimum>

</bounds>

</numericDomain>

</ratio>

</measurementScale>

<missingValueCode>

<code>NaN</code>

<codeExplanation>value not recorded or censored based on quality control analysis (see entity methods)</codeExplanation>

</missingValueCode>

<methods>

<methodStep>

<description>

<para>Calculations: Soil_Crucible_Wet_Weight-Soil_Crucible_Dry_Weight</para>

</description>

</methodStep>

</methods>

</attribute>

<attribute id="POR-GCEM-1006.17">

<attributeName>Soil_Organic_Percent</attributeName>

<attributeDefinition>Percentage of organic matter in sample calculated from organic content and dry weight of soil</attributeDefinition>

<storageType>float</storageType>

<measurementScale>

<ratio>

<unit>

<customUnit>percent</customUnit>

</unit>

<precision>0.01</precision>

<numericDomain>

<numberType>real</numberType>

<bounds>

<minimum exclusive="false">0</minimum>

<maximum exclusive="false">100</maximum>

</bounds>

</numericDomain>

</ratio>

</measurementScale>

<missingValueCode>

<code>NaN</code>

<codeExplanation>value not recorded or censored based on quality control analysis (see entity methods)</codeExplanation>

</missingValueCode>

<methods>

<methodStep>

<description>

<para>Calculations: 100*Soil_Organic_Content/(Soil_Crucible_Wet_Weight-Crucible_Weight)</para>

</description>

</methodStep>

</methods>

</attribute>

</attributeList>

<numberOfRecords>84</numberOfRecords>

</dataTable>

<otherEntity id="POR-GCEM-1006.kml">

<entityName>POR-GCEM-1006.kml</entityName>

<entityDescription>Google Earth Keyhole Markup Language file describing the geographic locations sampled in data set knb-lter-gce.327.13</entityDescription>

<physical>

<objectName>POR-GCEM-1006.kml</objectName>

<dataFormat>

<externallyDefinedFormat>

<formatName>application/vnd.google-earth.kml+xml</formatName>

</externallyDefinedFormat>

</dataFormat>

<distribution>

<online>

<url function="download">http://gce-lter.marsci.uga.edu/gce_metabase/xml/dataset_geography.kml?Accession=POR-GCEM-1006</url>

</online>

<access authSystem="knb" order="allowFirst" scope="document">

<allow>

<principal>uid=GCE,o=lter,dc=ecoinformatics,dc=org</principal>

<permission>all</permission>

</allow>

<allow>

<principal>public</principal>

<permission>read</permission>

</allow>

</access>

</distribution>

</physical>

<entityType>KML</entityType>

</otherEntity>

</dataset>

<additionalMetadata>

<metadata>

<stmml:unitList xmlns:stmml="http://www.xml-cml.org/schema/stmml-1.1" xsi:schemaLocation="http://www.xml-cml.org/schema/stmml-1.1 http://gce-lter.marsci.uga.edu/public/files/schemas/eml-210/stmml.xsd">

<!--note that the unitTypes here are taken from the eml-unitDictionary.xml--><stmml:unit id="percent" name="percent" unitType="dimensionless" abbreviation="%" multiplierToSI="1">

<stmml:description>ratio of two quantities as percent composition (1:100)</stmml:description>

</stmml:unit>

</stmml:unitList>

</metadata>

</additionalMetadata>

</eml:eml>