<?xml version="1.0" encoding="UTF-8"?>
<Document xmlns="http://www.tdwg.org/2002/SDD-Strawman" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.tdwg.org/2002/SDD-Strawman Brazil2002-SDD.xsd">
	<!-- version="Strawman 0.51"-->
	<Generator Application="n/a, handcrafted" Version="n/a" LastUpdateDate="2003-02-07" Authors="SDD working group" Institution="TDWG"/>
	<!-- The 'Generator' information refers only to the last generator that created this document. It does not imply that the data have been authored in the named application. This information is intended mainly for debugging purposes, or to recognize errors produced by certain generators -->
	<ProjectDefinition>
		<Creators>
			<Author>X. Someone</Author>
			<Author>Y. Someone-Else</Author>
			<Editor>Z. TheEditor</Editor>
			<Editor>Z. TheSecond</Editor>
		</Creators>
		<FirstPublicationDate>2001</FirstPublicationDate>
		<LastRevisionDate>2002-10-20</LastRevisionDate>
		<Version>1.0</Version>
		<LinguisticSets>
			<LinguisticSet lang="en">
				<Title>Flying Fishes of the world</Title>
				<Description>A digital field guide</Description>
				<Acknowledgement>The work was made possible by a grant from ...</Acknowledgement>
				<GeographicalCoverage>World</GeographicalCoverage>
				<GeographicalStdCoverage>no,se,fi,nl,de</GeographicalStdCoverage>
				<!-- Comma separated list. Use TDWG geographical standard. Use global' for world-wide scope. -->
				<TaxonomicCoverage>Flying Fishes</TaxonomicCoverage>
				<Rights>
					<CopyrightStatement>(c) 2002 xxx</CopyrightStatement>
					<UsageConditions>Can be freely used as long as ...</UsageConditions>
				</Rights>
				<PrimarySource>reference if information came mostly from one specific publication</PrimarySource>
			</LinguisticSet>
			<LinguisticSet lang="de">
				<Title>Fliegende Fische der Welt</Title>
				<Rights>
					<CopyrightStatement>(c) 2002 xxx</CopyrightStatement>
					<UsageConditions>Die Daten dürfen frei verwendet werden, solange ...</UsageConditions>
				</Rights>
			</LinguisticSet>
		</LinguisticSets>
		<ProjectIconURI>http://www.somewhere/img/icon.png</ProjectIconURI>
		<DefaultAudience keyref="en5"/>
		<!-- The default audience is used whenever the setup of the application has no other preference specified. The user interface of the application may then allow to choose a different audience/language available. Elements which are language, but not audience specific use the language of the default audience.-->
	</ProjectDefinition>
	<Descriptions>
		<Item Identification="Discaria pubescens" TaxonNameIDProvider="www.ipni.org" TaxonNameID="1298389127326748" Rank="specimen/subspecies/species/genus/family/order/etc." Abundance="" InternalNotes="Some notes" CollectionSpecimenIDProvider="DiversityCollection" CollectionSpecimenID="M-234823098" CollectionSpecimenFreeDescription="Botanische Staatssammlung München (M), 2nd floor, first shelf to the left" ReferenceIDProvider="DiversityReferencesApplication" ReferenceID="SMITH_1999_WXT" ReferenceFreeDescription="Smith (1999) Flora of something">
			<!-- Item = thing that is being described, taxon, individual specimen, part of individual, disease, etc. -->
			<!-- Item is being defined by its links to other information: taxonomic name thesaurus, if Item refers to a specimen: Natural History Collection databases or IDs, if Item is derived from published information: bibliographic reference information. -->
			<ItemDefinition>
				<Identification>Discaria pubescens</Identification>
			</ItemDefinition>
			<NaturalLanguageDescription Origin="authored" AudienceKeyRef="en5">
				<MetaData>
					<Creator>Unknown</Creator>
				</MetaData>
				<Wordings>
					<Wording>
Spreading shrub; stems glabrous. Leaves soon deciduous (particularly on older plants, especially when infected with <i>Diseasomyces</i>), oblong, apex obtuse, glabrous or weakly hirsute; stipules dark reddish-brown, extremely rarely yellow, often shallowly joined around the node; spines stout.</Wording>
				</Wordings>
			</NaturalLanguageDescription>
			<NaturalLanguageDescription AudienceKeyRef="en5" Origin="authored">
				<!-- "authored" descriptions may never be overwritten by a natural language reporting process, whereas "generated" descriptions may be updated. Both "authored" and "generated" descriptions may have markup, but do not need to. -->
				<MetaData>
					<Creator>Bob Morris</Creator>
				</MetaData>
				<Wordings>
					<!-- The wording should retain the full, unchanged original wording of the natural language description. Markup is only added, but sequence etc. not changed. The following example shows incomplete segmentation and parsing. The sdd standard is capable to store data with partial markup, resulting from any mixture of automatic markup by a processor or manual markup. -->
					<Wording>
Spreading shrub; stems glabrous. Leaves soon deciduous (particularly on older plants, especially when infected with <i>Diseasomyces</i>), oblong, apex obtuse, glabrous or weakly hirsute;</Wording>
					<!-- segmentation and parsing of the wording may be incomplete -->
					<Charactergroup keyref="stipules">
						<!-- the following wording could be mapped to the part-hierarchy based on the occurrence of "stipules". -->
						<!-- the following unparsed wording "stipules sharply pointed, 3 mm wide, darkish brown, extremely rarely yellow, often shallowly joined around the node; spines stout." has been partially parsed, based on recognizing a character group and a character State -->
						<Wording parsed="true">stipules</Wording>
						<!-- the wording may be segmented, without necessarily being able to identify each segment-->
						<Wording>sharply pointed, 3 mm wide,</Wording>
						<Character keyref="stipule-color">
							<!-- after knowing about stipule, and having only one character with basic property color, all color terms inside stipule could be mapped to states of the color character. The character mapping around the state could be added by inference -->
							<State keyref="brown">
								<Modifier keyref="dark"/>
								<Wording parsed="true">darkish brown, </Wording>
							</State>
						</Character>
						<!-- The stipule-color character should indeed not stop here. For the machine process assumed in this example, there is no way to directly identify the boundaries of this character, other than identifying the states. Currently only one of two states has been recognized, so the character markup is incorrect here. However, as soon as "yellow"  below is recognized at a later time, a process can recognize that two states of the same character occur directly after another, so that both states can be joined with one character. -->
						<Wording>extremely rarely yellow, often shallowly joined around the node; spines stout.</Wording>
					</Charactergroup>
					<Wording parsed="false">... more wording after the character group already recognized</Wording>
				</Wordings>
			</NaturalLanguageDescription>
		</Item>
		<Item Identification="Discaria pubescens" TaxonNameIDProvider="www.ipni.org" TaxonNameID="1298389127326748" Rank="specimen/subspecies/species/genus/family/order/etc." Abundance="" InternalNotes="Some notes" ReferenceIDProvider="www.xxx.net" ReferenceID="A123452342" ReferenceFreeDescription="Flora of Australia">
			<ItemDefinition>
				<Identification>Discaria pubescens</Identification>
			</ItemDefinition>
			<NaturalLanguageDescription Origin="generated" AudienceKeyRef="en5">
				<!-- "generated" descriptions may have markup, but do not need to -->
				<MetaData>
					<Creator>[Author of Flora]</Creator>
					<Source>[Flora of a Region]</Source>
				</MetaData>
				<Wordings>
					<Wording>Spreading shrub; stems glabrous. Leaves soon deciduous (particularly on older plants, especially when infected with <i>Diseasomyces</i>), oblong, apex obtuse, glabrous or weakly hirsute; stipules dark reddish-brown, extremely rarely yellow, often shallowly joined around the node; spines stout.</Wording>
				</Wordings>
			</NaturalLanguageDescription>
			<Resources>
				<MetaData>
					<Creator>Bob Morris</Creator>
				</MetaData>
				<!-- A description may contain one or several resources! It may also consist of only resources! -->
				<Resource keyref="1232332432"/>
			</Resources>
			<Resources>
				<MetaData>
					<Creator>Jim Croft</Creator>
				</MetaData>
				<Resource keyref="1232332"/>
				<Resource keyref="123232"/>
			</Resources>
			<CodedDescription>
				<MetaData>
					<Creator>Kevin Thiele</Creator>
				</MetaData>
				<!-- formal description is entirely controlled by sdd-defined terminology, has free text only in notes and free-form text fields (which must be enabled in the terminology section!) -->
				<Character keyref="habit">
					<State keyref="spreading shrub" Origin="collation"/>
				</Character>
				<Character keyref="stem, hairiness">
					<State keyref="glabrous"/>
				</Character>
				<Character keyref="leaves, persistence">
					<State keyref="deciduous">
						<Modifier keyref="soon"/>
						<LinguisticSets>
							<LinguisticSet keyref="en5">
								<ReportedNotes>particularly on older plants, especially when infected with <taxon>Diseasomyces</taxon>
								</ReportedNotes>
							</LinguisticSet>
							<LinguisticSet keyref="de5">
								<ReportedNotes>insbesondere in älteren Pflanzen oder wenn mit <taxon>Diseasomyces</taxon> infiziert</ReportedNotes>
								<!-- note that text is not in attribute, but rather mixed element content. Also, the original brackets are a feature of the formatting processor and not preserved. -->
							</LinguisticSet>
						</LinguisticSets>
						<InternalNotes>some text</InternalNotes>
					</State>
				</Character>
				<Character keyref="leaves, shape">
					<State keyref="oblong"/>
				</Character>
				<Character keyref="leaves apex, shape">
					<State keyref="obtuse"/>
				</Character>
				<Character keyref="leaves apex, hairiness">
					<State keyref="glabrous">
						<Frequency LowerLimit="0.16" UpperLimit="0.18"/>
					</State>
					<State keyref="hirsute">
						<Frequency Value="0.16"/>
						<Modifier keyref="weakly"/>
					</State>
				</Character>
				<Character keyref="stipules, shape">
					<State keyref="oblong">
						<Frequency keyref="usually"/>
					</State>
				</Character>
				<Character keyref="stipule-color">
					<State keyref="brown" AutoOrdered="false">
						<Modifier keyref="dark reddish-"/>
					</State>
					<State keyref="yellow" AutoOrdered="false">
						<Frequency keyref="extremely rarely"/>
					</State>
				</Character>
				<Character keyref="stipules, length">
					<Measure keyref="mean" Value="16.7"/>
					<State keyref="very long  stipule length"/>
				</Character>
				<Character keyref="stipules, joining">
					<State keyref="joined around the node">
						<!-- Note that there is no note for the entire character. Do we need such a note? I would prefer a text-State instead, avoiding ordering and output issues. -->
						<Frequency keyref="often"/>
						<Modifier keyref="shallowly"/>
						<InternalNotes>recheck after getting Smith '99</InternalNotes>
					</State>
				</Character>
				<Character keyref="spines, stoutness">
					<State keyref="stout"/>
				</Character>
				<Character keyref="GrowthDiam15c7d_OA">
					<Measure keyref="GDMean" Value="7.3e-12"/>
					<Measure keyref="GDPercentile89" Value="7.3"/>
				</Character>
			</CodedDescription>
			<CodedDescription>
				<!--  Elements must be rearrangeable; treatment must be translatable; lossless embedded representation of natural language; multiple hierarchies or hierarchy + categories. -->
				<Character keyref="leaf-color">
					<State keyref="brown">
						<Frequency keyref="extremely rarely"/>
						<Modifier keyref="reddish" PropagateOnCollation="false"/>
						<Modifier keyref="dark"/>
					</State>
					<State keyref="brown"/>
				</Character>
			</CodedDescription>
		</Item>
	</Descriptions>
	<Terminology>
		<AudienceDefinitions>
			<!-- unlimited number of elements . The key values are arbitrary and may be string -->
			<!-- audience is a linguistic definition how names, wording and perhaps other elements are phrased -->
			<AudienceDefinition key="en1" lang="en" ExpertiseLevel="1">
				<Label>Schoolchildren (ca. grade 1 to 6)</Label>
				<Description>Vocabulary simplified as much as possible for schoolchildren (elementary school or ca. below 7th grade)</Description>
			</AudienceDefinition>
			<AudienceDefinition key="de1" lang="de" ExpertiseLevel="1">
				<Label>Schulkinder (ca. 1. bis 6. Schuljahr)</Label>
				<Description>Die verwendeten Audsrücke wurden so einfach wie möglich gehalten um Schulkindern bis ca. einschließlich der sechster Klasse den Zugang zu erleichtern.</Description>
			</AudienceDefinition>
			<AudienceDefinition key="en2" lang="en" ExpertiseLevel="2">
				<Label>Schoolchildren (ca. grade 7 to 10)</Label>
				<Description>Where possible, the vocabulary is simplified for schoolchildren (7th to 10th grade).</Description>
			</AudienceDefinition>
			<AudienceDefinition key="de2" lang="de" ExpertiseLevel="2">
				<Label>Schulkinder (ca. 7. bis 10. Schuljahr)</Label>
				<Description>Die verwendeten Audsrücke werden so einfach wie möglich gehalten um Schulkindern ca. zwischen der siebten und zehnten Klasse den Zugang zu erleichtern.</Description>
			</AudienceDefinition>
			<AudienceDefinition key="en3" lang="en" ExpertiseLevel="3">
				<Label>General public</Label>
				<Description>General public and high school (year 11 above). This setting tries to avoid specialized terminology or jargon.</Description>
			</AudienceDefinition>
			<AudienceDefinition key="de3" lang="de" ExpertiseLevel="3">
				<Label>x</Label>
				<Description>Diese Einstellung wendet sich an interessierte Amateure und Schülerinnen und Schüler ab der 11. Klasse. Auf spezialisierte Fachausdrücke wird nach Möglichkeit verzichtet.</Description>
			</AudienceDefinition>
			<AudienceDefinition key="en4" lang="en" ExpertiseLevel="4">
				<Label>University students</Label>
				<Description>This setting is intended for university students or (partly) trained personnel. It uses advanced terminology, but attempts to avoid or explain problematic terminology.</Description>
			</AudienceDefinition>
			<AudienceDefinition key="de4" lang="de" ExpertiseLevel="4">
				<Label>Studenten (Hochschule)</Label>
				<Description>Terminologie für Hochschulstudenten der ersten Semester oder trainiertes Personal. Fortgeschrittene Terminologie wird verwendet, aber problematische Fachausdrücke werden vermieden oder erläutert.</Description>
			</AudienceDefinition>
			<AudienceDefinition key="en5" lang="en" ExpertiseLevel="5">
				<Label>Experts</Label>
				<Description>This setting uses the full scope of expert terminology.</Description>
			</AudienceDefinition>
			<AudienceDefinition key="de5" lang="de" ExpertiseLevel="5">
				<Label>Experten</Label>
				<Description>Beschreibungen unter Verwendung des vollständigen Fachvokabulars.</Description>
			</AudienceDefinition>
			<!--  ExpertiseLevel should be 1 to 5. Recommendations for interpreting and choosing the expert level:
           1 = elementary school (year 1 to 6)
           2 = middle school (year 7 to 10)
           3 = high school (year 11 above) and general public (trying to avoid any specialized terminology or jargon)
           4 = university students or (partly) trained personnel (using terminology, but avoiding or explaining problematic terminology)
           5 = experts (using the full range of terminology)           -->
		</AudienceDefinitions>
		<GlobalMeasureDefinitions>
			<!-- The semantics of a certain set of key values is predefined in the SDD standard. However, please observe the following "Best practices recommendation": Use the method, type, and value attributes rather than relying on the key value, whenever this information is sufficient for your method. This will, for example, probably be the case for formatting routines and for many query/identification purposes. Using the type/method/value information allows your code to work if the list of definitions of statistical measures is extended.-->
			<GlobalMeasureDefinitionSet>
				<SetLabelLinguisticSets keyref="en5">
					<Label>(temporarily all in one set, to be sorted later)</Label>
				</SetLabelLinguisticSets>
				<GlobalMeasureDefinition key="min" type="min">
					<LinguisticSets>
						<LinguisticSet keyref="en5">
							<Label>Absolute minimum value</Label>
							<Abbreviation>Min</Abbreviation>
							<GlossaryEntry>Absolute minimum value</GlossaryEntry>
						</LinguisticSet>
					</LinguisticSets>
				</GlobalMeasureDefinition>
				<GlobalMeasureDefinition key="ConfInterval0005" type="LowerRangeLimit" method="ConfInterval" value="0.05">
					<LinguisticSets>
						<LinguisticSet keyref="en5">
							<Label>Lower limit of 99.9% confidence interval for mean</Label>
							<Abbreviation>-CI99.9</Abbreviation>
							<GlossaryEntry>Lower limit of 99.9% confidence interval for mean</GlossaryEntry>
						</LinguisticSet>
					</LinguisticSets>
				</GlobalMeasureDefinition>
				<GlobalMeasureDefinition key="ConfInterval005" type="LowerRangeLimit" method="ConfInterval" value="0.5">
					<LinguisticSets>
						<LinguisticSet keyref="en5">
							<Label>Lower limit of 99% confidence interval for mean</Label>
							<Abbreviation>-CI99</Abbreviation>
							<GlossaryEntry>Lower limit of 99% confidence interval for mean</GlossaryEntry>
						</LinguisticSet>
					</LinguisticSets>
				</GlobalMeasureDefinition>
				<GlobalMeasureDefinition key="ConfInterval0125" type="LowerRangeLimit" method="ConfInterval" value="1.25">
					<LinguisticSets>
						<LinguisticSet keyref="en5">
							<Label>Lower limit of 97.5% confidence interval for mean</Label>
							<Abbreviation>-CI97.5</Abbreviation>
							<GlossaryEntry>Lower limit of 97.5% confidence interval for mean</GlossaryEntry>
						</LinguisticSet>
					</LinguisticSets>
				</GlobalMeasureDefinition>
				<GlobalMeasureDefinition key="ConfInterval025" type="LowerRangeLimit" method="ConfInterval" value="2.5">
					<LinguisticSets>
						<LinguisticSet keyref="en5">
							<Label>Lower limit of 95% confidence interval for mean</Label>
							<Abbreviation>-CI95</Abbreviation>
							<GlossaryEntry>Lower limit of 95% confidence interval for mean</GlossaryEntry>
						</LinguisticSet>
					</LinguisticSets>
				</GlobalMeasureDefinition>
				<GlobalMeasureDefinition key="ConfInterval05" type="LowerRangeLimit" method="ConfInterval" value="5">
					<LinguisticSets>
						<LinguisticSet keyref="en5">
							<Label>Lower limit of 90% confidence interval for mean</Label>
							<Abbreviation>-CI90</Abbreviation>
							<GlossaryEntry>Lower limit of 90% confidence interval for mean</GlossaryEntry>
						</LinguisticSet>
					</LinguisticSets>
				</GlobalMeasureDefinition>
				<GlobalMeasureDefinition key="ConfInterval10" type="LowerRangeLimit" method="ConfInterval" value="10">
					<LinguisticSets>
						<LinguisticSet keyref="en5">
							<Label>Lower limit of 80% confidence interval for mean</Label>
							<Abbreviation>-CI80</Abbreviation>
							<GlossaryEntry>Lower limit of 80% confidence interval for mean</GlossaryEntry>
						</LinguisticSet>
					</LinguisticSets>
				</GlobalMeasureDefinition>
				<GlobalMeasureDefinition key="Percentile025" type="LowerRangeLimit" method="Percentile" value="2.5">
					<LinguisticSets>
						<LinguisticSet keyref="en5">
							<Label>2.5 % percentile</Label>
							<Abbreviation>P025</Abbreviation>
							<GlossaryEntry>The 2.5 % percentile is defined such that 2.5% of the observations are smaller than this value.</GlossaryEntry>
						</LinguisticSet>
					</LinguisticSets>
				</GlobalMeasureDefinition>
				<GlobalMeasureDefinition key="Percentile05" type="LowerRangeLimit" method="Percentile" value="5">
					<LinguisticSets>
						<LinguisticSet keyref="en5">
							<Label>5 % percentile</Label>
							<Abbreviation>P05</Abbreviation>
							<GlossaryEntry>The 5 % percentile is defined such that 5% of the observations are smaller than this value.</GlossaryEntry>
						</LinguisticSet>
					</LinguisticSets>
				</GlobalMeasureDefinition>
				<GlobalMeasureDefinition key="Percentile10" type="LowerRangeLimit" method="Percentile" value="10">
					<LinguisticSets>
						<LinguisticSet keyref="en5">
							<Label>10 % percentile</Label>
							<Abbreviation>P10</Abbreviation>
							<GlossaryEntry>The 10 % percentile is defined such that 10% of the observations are smaller than this value.</GlossaryEntry>
						</LinguisticSet>
					</LinguisticSets>
				</GlobalMeasureDefinition>
				<GlobalMeasureDefinition key="Percentile15" type="LowerRangeLimit" method="Percentile" value="15">
					<LinguisticSets>
						<LinguisticSet keyref="en5">
							<Label>15 % percentile</Label>
							<Abbreviation>P15</Abbreviation>
							<GlossaryEntry>The 15 % percentile is defined such that 15% of the observations are smaller than this value.</GlossaryEntry>
						</LinguisticSet>
					</LinguisticSets>
				</GlobalMeasureDefinition>
				<GlobalMeasureDefinition key="Percentile20" type="LowerRangeLimit" method="Percentile" value="20">
					<LinguisticSets>
						<LinguisticSet keyref="en5">
							<Label>20 % percentile</Label>
							<Abbreviation>P20</Abbreviation>
							<GlossaryEntry>The 20 % percentile is defined such that 20% of the observations are smaller than this value.</GlossaryEntry>
						</LinguisticSet>
					</LinguisticSets>
				</GlobalMeasureDefinition>
				<GlobalMeasureDefinition key="Percentile25" type="LowerRangeLimit" method="Percentile" value="25">
					<LinguisticSets>
						<LinguisticSet keyref="en5">
							<Label>25 % percentile</Label>
							<Abbreviation>P25</Abbreviation>
							<GlossaryEntry>The 25 % percentile is defined such that 25% of the observations are smaller than this value.</GlossaryEntry>
						</LinguisticSet>
					</LinguisticSets>
				</GlobalMeasureDefinition>
				<GlobalMeasureDefinition key="Percentile30" type="LowerRangeLimit" method="Percentile" value="30">
					<LinguisticSets>
						<LinguisticSet keyref="en5">
							<Label>30 % percentile</Label>
							<Abbreviation>P30</Abbreviation>
							<GlossaryEntry>The 30 % percentile is defined such that 30% of the observations are smaller than this value.</GlossaryEntry>
						</LinguisticSet>
					</LinguisticSets>
				</GlobalMeasureDefinition>
				<GlobalMeasureDefinition key="UndefinedLowerRangeLimit" type="LowerRangeLimit" method="unknown">
					<LinguisticSets>
						<LinguisticSet keyref="en5">
							<Label>Lower limit of unspecified range</Label>
							<Abbreviation>-Range</Abbreviation>
							<GlossaryEntry>Lower limit of unspecified range (could be mean minus standard deviation, a percentile, etc., not known)</GlossaryEntry>
						</LinguisticSet>
					</LinguisticSets>
				</GlobalMeasureDefinition>
				<GlobalMeasureDefinition key="MeanMinus2SD" method="SDRange" value="-2" type="LowerRangeLimit">
					<LinguisticSets>
						<LinguisticSet keyref="en5">
							<Label>mean - 2 s.d.</Label>
							<Abbreviation>µ - 2 s.d.</Abbreviation>
							<GlossaryEntry>Mean minus 2 standard deviations (= lower limit of range of mean plus/minus 2 s.d.)</GlossaryEntry>
						</LinguisticSet>
					</LinguisticSets>
				</GlobalMeasureDefinition>
				<GlobalMeasureDefinition key="MeanMinus1SD" method="SDRange" value="-1" type="LowerRangeLimit">
					<LinguisticSets>
						<LinguisticSet keyref="en5">
							<Label>mean - s.d.</Label>
							<Abbreviation>µ - s.d.</Abbreviation>
							<GlossaryEntry>Mean minus 1 standard deviation (= lower limit of range of mean plus/minus 1 s.d.)</GlossaryEntry>
						</LinguisticSet>
					</LinguisticSets>
				</GlobalMeasureDefinition>
				<GlobalMeasureDefinition key="Mean" type="middle">
					<LinguisticSets>
						<LinguisticSet keyref="en5">
							<Label>Mean (= average)</Label>
							<Abbreviation>Mean</Abbreviation>
							<GlossaryEntry>The arithmetic mean (= average)</GlossaryEntry>
						</LinguisticSet>
					</LinguisticSets>
				</GlobalMeasureDefinition>
				<GlobalMeasureDefinition key="Mode" type="middle">
					<LinguisticSets>
						<LinguisticSet keyref="en5">
							<Label>Mode</Label>
							<Abbreviation>Mode</Abbreviation>
							<GlossaryEntry>The value or value class with the highest frequency, applicable only to unimodal distributions.</GlossaryEntry>
						</LinguisticSet>
					</LinguisticSets>
				</GlobalMeasureDefinition>
				<GlobalMeasureDefinition key="Median" type="middle" method="Percentile" value="50">
					<LinguisticSets>
						<LinguisticSet keyref="en5">
							<Label>Median</Label>
							<Abbreviation>Median</Abbreviation>
							<GlossaryEntry>The median (= 50 % percentile).</GlossaryEntry>
						</LinguisticSet>
					</LinguisticSets>
				</GlobalMeasureDefinition>
				<GlobalMeasureDefinition key="Value" type="middle">
					<LinguisticSets>
						<LinguisticSet keyref="en5">
							<Label>Single value</Label>
							<Abbreviation>Val.</Abbreviation>
							<GlossaryEntry>Single value (i.e. this implies that the sample size is N = 1)</GlossaryEntry>
						</LinguisticSet>
					</LinguisticSets>
				</GlobalMeasureDefinition>
				<GlobalMeasureDefinition key="UndefinedMiddleValue" type="middle">
					<LinguisticSets>
						<LinguisticSet keyref="en5">
							<Label>Undefined middle value</Label>
							<Abbreviation>Middle</Abbreviation>
							<GlossaryEntry>An undefined middle value, which may be a mean, median, single value, etc.</GlossaryEntry>
						</LinguisticSet>
					</LinguisticSets>
				</GlobalMeasureDefinition>
				<GlobalMeasureDefinition key="MeanPlus1SD" type="UpperRangeLimit" method="SDRange" value="1">
					<LinguisticSets>
						<LinguisticSet keyref="en5">
							<Label>mean + s.d.</Label>
							<Abbreviation>µ + s.d.</Abbreviation>
							<GlossaryEntry>Mean plus 1 standard deviation (= upper limit of range of mean plus/minus 2 s.d.)</GlossaryEntry>
						</LinguisticSet>
					</LinguisticSets>
				</GlobalMeasureDefinition>
				<GlobalMeasureDefinition key="MeanPlus2SD" type="UpperRangeLimit" method="SDRange" value="2">
					<LinguisticSets>
						<LinguisticSet keyref="en5">
							<Label>mean + 2 s.d.</Label>
							<Abbreviation>µ + 2 s.d.</Abbreviation>
							<GlossaryEntry>Mean plus  2 standard deviations (= upper limit of range of mean plus/minus 2 s.d.)</GlossaryEntry>
						</LinguisticSet>
					</LinguisticSets>
				</GlobalMeasureDefinition>
				<GlobalMeasureDefinition key="UndefinedUpperRangeLimit" type="UpperRangeLimit">
					<LinguisticSets>
						<LinguisticSet keyref="en5">
							<Label>Upper limit of unspecified range</Label>
							<Abbreviation>+Range</Abbreviation>
							<GlossaryEntry>Upper limit of unspecified range (could be mean plus/minus standard deviation, a percentile, etc., not known)</GlossaryEntry>
						</LinguisticSet>
					</LinguisticSets>
				</GlobalMeasureDefinition>
				<GlobalMeasureDefinition key="Percentile70" type="UpperRangeLimit" method="Percentile" value="70">
					<LinguisticSets>
						<LinguisticSet keyref="en5">
							<Label>70 % percentile</Label>
							<Abbreviation>P70</Abbreviation>
							<GlossaryEntry>The 70 % percentile is defined such that 70% of the observations are smaller than this value and 30% larger.</GlossaryEntry>
						</LinguisticSet>
					</LinguisticSets>
				</GlobalMeasureDefinition>
				<GlobalMeasureDefinition key="Percentile75" type="UpperRangeLimit" method="Percentile" value="75">
					<LinguisticSets>
						<LinguisticSet keyref="en5">
							<Label>75 % percentile</Label>
							<Abbreviation>P75</Abbreviation>
							<GlossaryEntry>The 75 % percentile is defined such that 75% of the observations are smaller than this value and 25% larger.</GlossaryEntry>
						</LinguisticSet>
					</LinguisticSets>
				</GlobalMeasureDefinition>
				<GlobalMeasureDefinition key="Percentile80" type="UpperRangeLimit" method="Percentile" value="80">
					<LinguisticSets>
						<LinguisticSet keyref="en5">
							<Label>80 % percentile</Label>
							<Abbreviation>P80</Abbreviation>
							<GlossaryEntry>The 80 % percentile is defined such that 80% of the observations are smaller than this value and 20% larger.</GlossaryEntry>
						</LinguisticSet>
					</LinguisticSets>
				</GlobalMeasureDefinition>
				<GlobalMeasureDefinition key="Percentile85" type="UpperRangeLimit" method="Percentile" value="85">
					<LinguisticSets>
						<LinguisticSet keyref="en5">
							<Label>85 % percentile</Label>
							<Abbreviation>P85</Abbreviation>
							<GlossaryEntry>The 85 % percentile is defined such that 85% of the observations are smaller than this value and 15% larger.</GlossaryEntry>
						</LinguisticSet>
					</LinguisticSets>
				</GlobalMeasureDefinition>
				<GlobalMeasureDefinition key="Percentile90" type="UpperRangeLimit" method="Percentile" value="90">
					<LinguisticSets>
						<LinguisticSet keyref="en5">
							<Label>90 % percentile</Label>
							<Abbreviation>P90</Abbreviation>
							<GlossaryEntry>The 90 % percentile is defined such that 90% of the observations are smaller than this value and 10% larger.</GlossaryEntry>
						</LinguisticSet>
					</LinguisticSets>
				</GlobalMeasureDefinition>
				<GlobalMeasureDefinition key="Percentile95" type="UpperRangeLimit" method="Percentile" value="95">
					<LinguisticSets>
						<LinguisticSet keyref="en5">
							<Label>95 % percentile</Label>
							<Abbreviation>P95</Abbreviation>
							<GlossaryEntry>The 95 % percentile is defined such that 95% of the observations are smaller than this value and 5% larger.</GlossaryEntry>
						</LinguisticSet>
					</LinguisticSets>
				</GlobalMeasureDefinition>
				<GlobalMeasureDefinition key="Percentile975" type="UpperRangeLimit" method="Percentile" value="97.5">
					<LinguisticSets>
						<LinguisticSet keyref="en5">
							<Label>97.5 % percentile</Label>
							<Abbreviation>P975</Abbreviation>
							<GlossaryEntry>The 97.5 %  percentile is defined such that 97.5 %  of the observations are smaller than this value and 2.5% larger.</GlossaryEntry>
						</LinguisticSet>
					</LinguisticSets>
				</GlobalMeasureDefinition>
				<GlobalMeasureDefinition key="ConfInterval90" type="UpperRangeLimit" method="ConfInterval" value="90">
					<LinguisticSets>
						<LinguisticSet keyref="en5">
							<Label>Upper limit of 80% confidence interval for mean</Label>
							<Abbreviation>+CI80</Abbreviation>
							<GlossaryEntry>Upper limit of 80% confidence interval for mean</GlossaryEntry>
						</LinguisticSet>
					</LinguisticSets>
				</GlobalMeasureDefinition>
				<GlobalMeasureDefinition key="ConfInterval95" type="UpperRangeLimit" method="ConfInterval" value="95">
					<LinguisticSets>
						<LinguisticSet keyref="en5">
							<Label>Upper limit of 90% confidence interval for mean</Label>
							<Abbreviation>+CI90</Abbreviation>
							<GlossaryEntry>Upper limit of 90% confidence interval for mean</GlossaryEntry>
						</LinguisticSet>
					</LinguisticSets>
				</GlobalMeasureDefinition>
				<GlobalMeasureDefinition key="ConfInterval975" type="UpperRangeLimit" method="ConfInterval" value="97.5">
					<LinguisticSets>
						<LinguisticSet keyref="en5">
							<Label>Upper limit of 95% confidence interval for mean</Label>
							<Abbreviation>+CI95</Abbreviation>
							<GlossaryEntry>Upper limit of 95% confidence interval for mean</GlossaryEntry>
						</LinguisticSet>
					</LinguisticSets>
				</GlobalMeasureDefinition>
				<GlobalMeasureDefinition key="ConfInterval9875" type="LowerRangeLimit" method="ConfInterval" value="98.75">
					<LinguisticSets>
						<LinguisticSet keyref="en5">
							<Label>Upper limit of 97.5% confidence interval for mean</Label>
							<Abbreviation>+CI97.5</Abbreviation>
							<GlossaryEntry>Upper limit of 97.5% confidence interval for mean</GlossaryEntry>
						</LinguisticSet>
					</LinguisticSets>
				</GlobalMeasureDefinition>
				<GlobalMeasureDefinition key="ConfInterval995" type="LowerRangeLimit" method="ConfInterval" value="99.5">
					<LinguisticSets>
						<LinguisticSet keyref="en5">
							<Label>Upper limit of 99% confidence interval for mean</Label>
							<Abbreviation>+CI99</Abbreviation>
							<GlossaryEntry>Upper limit of 99% confidence interval for mean</GlossaryEntry>
						</LinguisticSet>
					</LinguisticSets>
				</GlobalMeasureDefinition>
				<GlobalMeasureDefinition key="ConfInterval9995" type="LowerRangeLimit" method="ConfInterval" value="99.95">
					<LinguisticSets>
						<LinguisticSet keyref="en5">
							<Label>Upper limit of 99.9% confidence interval for mean</Label>
							<Abbreviation>+CI99.9</Abbreviation>
							<GlossaryEntry>Upper limit of 99.9% confidence interval for mean</GlossaryEntry>
						</LinguisticSet>
					</LinguisticSets>
				</GlobalMeasureDefinition>
				<GlobalMeasureDefinition key="max" type="max">
					<LinguisticSets>
						<LinguisticSet keyref="en5">
							<Label>Maximum</Label>
							<Abbreviation>Max</Abbreviation>
							<GlossaryEntry>Absolute maximum value</GlossaryEntry>
						</LinguisticSet>
					</LinguisticSets>
				</GlobalMeasureDefinition>
				<GlobalMeasureDefinition key="Variance" type="VarianceMeasure">
					<LinguisticSets>
						<LinguisticSet keyref="en5">
							<Label>Variance</Label>
							<Abbreviation>Var.</Abbreviation>
							<GlossaryEntry>Variance of sample values around the mean (= standard deviation squared, df = n-1)</GlossaryEntry>
						</LinguisticSet>
					</LinguisticSets>
				</GlobalMeasureDefinition>
				<GlobalMeasureDefinition key="StdDeviation" type="VarianceMeasure">
					<LinguisticSets>
						<LinguisticSet keyref="en5">
							<Label>Standard deviation (df=n-1)</Label>
							<Abbreviation>s. d.</Abbreviation>
							<GlossaryEntry>Standard deviation of sample (n-1 degrees of freedom)</GlossaryEntry>
						</LinguisticSet>
					</LinguisticSets>
				</GlobalMeasureDefinition>
				<GlobalMeasureDefinition key="StdDeviationPopulation" type="VarianceMeasure">
					<LinguisticSets>
						<LinguisticSet keyref="en5">
							<Label>Standard deviation of population (df = n)</Label>
							<Abbreviation>s.d. (pop.)</Abbreviation>
							<GlossaryEntry>Standard deviation of population (n-1 degrees of freedom). Use this only if the entire population of objects has been studied. In almost every case in biology, only a sample will be studied and the results are then used to make conclusions about the entire population. In the latter case the standard deviation with degrees of freedom = sample size is inappropriate and the normal variance/standard deviation (df = n - 1) should be used.</GlossaryEntry>
						</LinguisticSet>
					</LinguisticSets>
				</GlobalMeasureDefinition>
				<GlobalMeasureDefinition key="StdErrorMean" type="VarianceMeasure">
					<LinguisticSets>
						<LinguisticSet keyref="en5">
							<Label>Standard error of mean (= SD/Square root(N))</Label>
							<Abbreviation>s.e.</Abbreviation>
							<GlossaryEntry>Standard error of mean (= Standard deviation / Square root(N) )</GlossaryEntry>
						</LinguisticSet>
					</LinguisticSets>
				</GlobalMeasureDefinition>
				<GlobalMeasureDefinition key="StdErrorVariance" type="Other">
					<LinguisticSets>
						<LinguisticSet keyref="en5">
							<Label>Standard error of variance</Label>
							<Abbreviation>s.e.(var.)</Abbreviation>
							<GlossaryEntry>Standard error of variance (this is not a variance measure for the mean!)</GlossaryEntry>
						</LinguisticSet>
					</LinguisticSets>
				</GlobalMeasureDefinition>
				<GlobalMeasureDefinition key="SampleSize" type="SampleSize">
					<LinguisticSets>
						<LinguisticSet keyref="en5">
							<Label>SampleSize</Label>
							<Abbreviation>N</Abbreviation>
							<GlossaryEntry>Sample size = number of objects studied and on which the other reported statistical measures (mean, standard deviation, etc.) are based.</GlossaryEntry>
						</LinguisticSet>
					</LinguisticSets>
				</GlobalMeasureDefinition>
				<!-- In later versions we expect to make this list user extensible, for example this could be defined:
         <GlobalMeasureDefinition key="userdefined0" type="LowerRangeLimit"/>
         <GlobalMeasureDefinition key="userdefined1" type="UpperRangeLimit"/>
         <GlobalMeasureDefinition key="userdefined_lowerrange_limit" type="LowerRangeLimit"/>
         <GlobalMeasureDefinition key="userdefined_bayesianvariance" type="Other"/>
PROBLEM: document instance could change the standard types, or the English wording to something that changes the semantics in the eyes of a user. In JAVA language the problem here is: there are no final static (= global constants) objects -->
			</GlobalMeasureDefinitionSet>
		</GlobalMeasureDefinitions>
		<GlobalStateDefinitions>
			<GlobalStateDefinitionSet key="SpecialStates">
				<!-- Special states all identify a reason why data are not known. In a single item they should only occur once per character. However in a class (e.g. a genus) it is up to the collation process whether to provide multiple special states or not. An information like "unknown or not applicable" may be of interest for analytical purposes. The labels and abbreviations given here are recommendations but can be freely changed as long as the semantics are preserved! -->
				<!--  for sp. states currently not: <SetLabelLinguisticSets keyref="en5"><Label>standard color states</Label></SetLabelLinguisticSets> -->
				<StateDefinition key="Empty">
					<LinguisticSets>
						<LinguisticSet keyref="en5">
							<Label>not yet scored</Label>
							<!-- Abbreviation is empty string or blank: <Abbreviation> </Abbreviation> -->
							<GlossaryEntry>No attempt to score this character has yet been made so it may or may not be possible to score this character. The abbreviated display is a blank space. (Note: the DELTA equivalent is the situation where a character is not listed in a item at all.)</GlossaryEntry>
						</LinguisticSet>
					</LinguisticSets>
				</StateDefinition>
				<StateDefinition key="Unknown">
					<LinguisticSets>
						<LinguisticSet keyref="en5">
							<Label>Unknown</Label>
							<Abbreviation>?</Abbreviation>
							<GlossaryEntry>The character has been studied in the item, but it is impossible to score it either from the specimen or from the literature. The abbreviated display for this situation is a question mark. Compare also the special state "not interpretable" if information in the literature exists, but this information is not interpretable in terms of the current terminology. (Note: the DELTA equivalent is the 'U'-state.)</GlossaryEntry>
						</LinguisticSet>
					</LinguisticSets>
				</StateDefinition>
				<StateDefinition key="NotApplicable">
					<LinguisticSets>
						<LinguisticSet keyref="en5">
							<Label>NotApplicable</Label>
							<Abbreviation>n/a</Abbreviation>
							<GlossaryEntry>The character has studied been in the item, but the available states are not applicable. Example are situations where the character cannot possibly exists (e.g. leaf-tip in a leaf-less plant) or where the method is unable to measure the current situation (e.g. if the growth rate is so fast that all available space is already used before the time defined in the method). In the first situation it is usually desirable to create a global character dependency definition, in which case it is no longer necessary to score individual states as non applicable. The abbreviated display for this situation is  "n/a". (Note: the DELTA equivalent is the '-'-state.)</GlossaryEntry>
						</LinguisticSet>
					</LinguisticSets>
				</StateDefinition>
				<StateDefinition key="NotInterpretable">
					<LinguisticSets>
						<LinguisticSet keyref="en5">
							<Label>Not interpretable</Label>
							<Abbreviation>n/i</Abbreviation>
							<GlossaryEntry>The character has been studied in the item, but it is impossible to score it because the this information is not interpretable in terms of the current terminology. (Note: no DELTA equivalent exists.)</GlossaryEntry>
						</LinguisticSet>
					</LinguisticSets>
				</StateDefinition>
				<StateDefinition key="OutOfScope">
					<LinguisticSets>
						<LinguisticSet keyref="en5">
							<Label>Not to be scored (scoped out)</Label>
							<Abbreviation>~</Abbreviation>
							<GlossaryEntry>+++  (Note: no DELTA equivalent exists.)</GlossaryEntry>
						</LinguisticSet>
					</LinguisticSets>
				</StateDefinition>
			</GlobalStateDefinitionSet>
			<GlobalStateDefinitionSet key="ComputedSpecialStates">
				<!-- These special states are already predefined here; they will be used as soon as a mechanism for computed characters is introduced. -->
				<!--  for sp. states currently not: <SetLabelLinguisticSets keyref="en5"><Label>standard color states</Label></SetLabelLinguisticSets> -->
				<StateDefinition key="ComputeNotImplemented">
					<LinguisticSets>
						<LinguisticSet keyref="en5">
							<Label>Compute function not implemented</Label>
							<Abbreviation>c?</Abbreviation>
							<GlossaryEntry>+++  (Note: no DELTA equivalent exists.)</GlossaryEntry>
						</LinguisticSet>
					</LinguisticSets>
				</StateDefinition>
				<StateDefinition key="ComputeError">
					<LinguisticSets>
						<LinguisticSet keyref="en5">
							<Label>Compute function returned an error</Label>
							<Abbreviation>c#</Abbreviation>
							<GlossaryEntry>+++ (Note: no DELTA equivalent exists.)</GlossaryEntry>
						</LinguisticSet>
					</LinguisticSets>
				</StateDefinition>
			</GlobalStateDefinitionSet>
			<GlobalStateDefinitionSet key="color">
				<SetLabelLinguisticSets keyref="en5">
					<Label>standard color states</Label>
				</SetLabelLinguisticSets>
				<StateDefinition key="red">
					<LinguisticSets>
						<LinguisticSet keyref="en5">
							<Label>red</Label>
							<Wording>+++</Wording>
						</LinguisticSet>
						<LinguisticSet keyref="de5">
							<Label>rot</Label>
							<Wording>+++</Wording>
						</LinguisticSet>
					</LinguisticSets>
					<InternalNotes>Internal notes of the designer of the terminology. Such notes are not strictly confidential, but applications should not make them generally available and should make them available only under specific circumstances </InternalNotes>
				</StateDefinition>
				<StateDefinition key="green">
					<LinguisticSets>
						<LinguisticSet keyref="en5">
							<Label>green</Label>
							<Wording>+++</Wording>
						</LinguisticSet>
						<LinguisticSet keyref="de5">
							<Label>grün</Label>
							<Wording>+++</Wording>
						</LinguisticSet>
					</LinguisticSets>
				</StateDefinition>
				<StateDefinition key="blue">
					<LinguisticSets>
						<LinguisticSet keyref="en5">
							<Label>blue</Label>
							<Wording>+++</Wording>
						</LinguisticSet>
					</LinguisticSets>
				</StateDefinition>
				<StateDefinition key="white">
					<LinguisticSets>
						<LinguisticSet keyref="en5">
							<Label>white</Label>
							<Wording>+++</Wording>
						</LinguisticSet>
					</LinguisticSets>
				</StateDefinition>
			</GlobalStateDefinitionSet>
			<GlobalStateDefinitionSet key="color_metallic">
				<SetLabelLinguisticSets keyref="en5">
					<Label>metallic color states</Label>
				</SetLabelLinguisticSets>
				<StateDefinition key="red-metallic">
					<LinguisticSets>
						<LinguisticSet keyref="en5">
							<Label>red-metallic</Label>
							<Wording>+++</Wording>
						</LinguisticSet>
					</LinguisticSets>
				</StateDefinition>
				<StateDefinition key="green-metallic">
					<LinguisticSets>
						<LinguisticSet keyref="en5">
							<Label>green-metallic</Label>
							<Wording>+++</Wording>
						</LinguisticSet>
					</LinguisticSets>
				</StateDefinition>
				<StateDefinition key="blue-metallic">
					<LinguisticSets>
						<LinguisticSet keyref="en5">
							<Label>blue-metallic</Label>
							<Wording>+++</Wording>
						</LinguisticSet>
					</LinguisticSets>
				</StateDefinition>
			</GlobalStateDefinitionSet>
		</GlobalStateDefinitions>
		<FrequencyDefinitions>
			<!-- This could possibly refer to an common definition used by multiple terminologies -->
			<FrequencyDefinitionSet name="standard frequency modifiers">
				<SetLabelLinguisticSets keyref="en5">
					<Label>standard frequency modifiers</Label>
				</SetLabelLinguisticSets>
				<FrequencyDefinition key="extremely rarely" PropagateOnCollation="false" LowerLimit="0.001" UpperLimit="0.01">
					<LinguisticSets>
						<LinguisticSet keyref="en5">
							<Label>extremely rarely</Label>
						</LinguisticSet>
						<LinguisticSet keyref="de5">
							<Label>extrem selten</Label>
							<Wording Postfix="false" AddBlank="true">+++</Wording>
						</LinguisticSet>
					</LinguisticSets>
				</FrequencyDefinition>
				<FrequencyDefinition key="very rarely" PropagateOnCollation="false" LowerLimit="0" UpperLimit="0.05">
					<LinguisticSets>
						<LinguisticSet keyref="en5">
							<Label>very rarely</Label>
							<Wording Postfix="false" AddBlank="true">+++</Wording>
						</LinguisticSet>
						<LinguisticSet keyref="de5">
							<Label>sehr selten</Label>
							<Wording Postfix="false" AddBlank="true">+++</Wording>
						</LinguisticSet>
					</LinguisticSets>
				</FrequencyDefinition>
				<FrequencyDefinition key="rarely" PropagateOnCollation="false" LowerLimit="0.01" UpperLimit="0.15">
					<!--- frequency limits could also overlap! -->
					<LinguisticSets>
						<LinguisticSet keyref="en5">
							<Label>rarely</Label>
							<Wording>+++</Wording>
						</LinguisticSet>
						<LinguisticSet keyref="de5">
							<Label>selten</Label>
							<Wording>+++</Wording>
						</LinguisticSet>
					</LinguisticSets>
				</FrequencyDefinition>
				<FrequencyDefinition key="usually" PropagateOnCollation="true" LowerLimit="0.5" UpperLimit="0.99">
					<!--- LowerLimit/UpperLimit are required, ranging from 0 to 1 -->
					<LinguisticSets>
						<LinguisticSet keyref="en5">
							<Label>usually</Label>
							<Wording>+++</Wording>
						</LinguisticSet>
						<LinguisticSet keyref="de5">
							<Label>gewöhnlich</Label>
							<Wording>+++</Wording>
						</LinguisticSet>
					</LinguisticSets>
				</FrequencyDefinition>
				<FrequencyDefinition key="often" PropagateOnCollation="false" LowerLimit="0.2" UpperLimit="0.5">
					<LinguisticSets>
						<LinguisticSet keyref="en5">
							<Label>often</Label>
						</LinguisticSet>
					</LinguisticSets>
				</FrequencyDefinition>
			</FrequencyDefinitionSet>
		</FrequencyDefinitions>
		<ModifierDefinitions>
			<ModifierDefinitionSet name="colorhue">
				<SetLabelLinguisticSets keyref="en5">
					<Label>color hues</Label>
				</SetLabelLinguisticSets>
				<ModifierDefinition key="reddish">
					<LinguisticSets>
						<LinguisticSet keyref="en5">
							<Label>reddish</Label>
							<Wording Postfix="false" AddBlank="true">+++</Wording>
						</LinguisticSet>
						<LinguisticSet keyref="de5">
							<Label>rötlich</Label>
							<Wording Postfix="false" AddBlank="true">+++</Wording>
						</LinguisticSet>
					</LinguisticSets>
				</ModifierDefinition>
				<ModifierDefinition key="greenish">
					<LinguisticSets>
						<LinguisticSet keyref="en5">
							<Label>greenish</Label>
							<Wording Postfix="false" AddBlank="true">reddish</Wording>
						</LinguisticSet>
					</LinguisticSets>
				</ModifierDefinition>
				<ModifierDefinition key="dark">
					<LinguisticSets>
						<LinguisticSet keyref="en5">
							<Label>dark</Label>
						</LinguisticSet>
					</LinguisticSets>
				</ModifierDefinition>
				<ModifierDefinition key="dark reddish-">
					<LinguisticSets>
						<LinguisticSet keyref="en5">
							<Label>dark reddish-</Label>
						</LinguisticSet>
					</LinguisticSets>
				</ModifierDefinition>
			</ModifierDefinitionSet>
			<ModifierDefinitionSet name="general">
				<SetLabelLinguisticSets keyref="en5">
					<Label>general / unspecific modifiers</Label>
				</SetLabelLinguisticSets>
				<ModifierDefinition key="shallowly">
					<LinguisticSets>
						<LinguisticSet keyref="en5">
							<Label>shallowly</Label>
						</LinguisticSet>
					</LinguisticSets>
				</ModifierDefinition>
				<ModifierDefinition key="weakly">
					<LinguisticSets>
						<LinguisticSet keyref="en5">
							<Label>weakly</Label>
						</LinguisticSet>
					</LinguisticSets>
				</ModifierDefinition>
				<ModifierDefinition key="soon">
					<LinguisticSets>
						<LinguisticSet keyref="en5">
							<Label>soon</Label>
						</LinguisticSet>
					</LinguisticSets>
				</ModifierDefinition>
				<ModifierDefinition key="(by misunderstanding)" StateTrueByMisinterpretation="true">
					<LinguisticSets>
						<LinguisticSet keyref="en5">
							<Label>(by misunderstanding)</Label>
							<Wording Postfix="true" AddBlank="true">(by misunderstanding)</Wording>
						</LinguisticSet>
						<LinguisticSet keyref="de5">
							<Label>(durch Fehlinterpretation)</Label>
							<Wording Postfix="true" AddBlank="true">(durch Fehlinterpretation)</Wording>
						</LinguisticSet>
					</LinguisticSets>
				</ModifierDefinition>
			</ModifierDefinitionSet>
		</ModifierDefinitions>
		<CharacterDefinitions>
			<!--- "Character list" = "Character definition" -->
			<!--- Characters include morphology, sounds, behavior, physiological or molecular tests, disease symptoms  -->
			<CharacterDefinition key="habit">
				<LinguisticSets>
					<!-- "Flat list names": for each audience definition, the label of a character should be unique within the entire CharacterDefinitions collection -->
					<LinguisticSet keyref="en5">
						<Label>Habit of entire plant</Label>
						<Abbreviation>Habit</Abbreviation>
						<ExternalName>PlantHabit</ExternalName>
						<GlossaryEntry>The appearance of the entire plant above-ground (stem, leave, inflorescence) as well as below-ground</GlossaryEntry>
						<GlossaryReference>http://www.organisation.org/PlantTerminology/Glossary/query?term="habit"</GlossaryReference>
					</LinguisticSet>
					<LinguisticSet keyref="de5">
						<Label>Habitus der gesamten Pflanze</Label>
						<Abbreviation>Habitus</Abbreviation>
					</LinguisticSet>
				</LinguisticSets>
				<DescriptorDefinitions>
					<LocalStateDefinitions>
						<StateDefinition key="spreading shrub">
							<LinguisticSets>
								<LinguisticSet keyref="en5">
									<Label>spreading shrub</Label>
									<Wording>spreading shrub</Wording>
								</LinguisticSet>
								<LinguisticSet keyref="de5">
									<Label>kriechender Strauch</Label>
									<Wording>kriechender Strauch</Wording>
								</LinguisticSet>
							</LinguisticSets>
							<Resources>
								<!-- Resources of type Semantics may occur 0-1, Resources of any other type may occur 0..n times. Problem: Semantics is self-defined, all other types should be MIME types.-->
								<Resource keyref="243872847"/>
								<Resource keyref="129838729427"/>
								<Resource keyref="129838729428"/>
							</Resources>
						</StateDefinition>
					</LocalStateDefinitions>
				</DescriptorDefinitions>
			</CharacterDefinition>
			<!--StateDefinition keys are unique only within the CharacterDefinition, and keyref reference to a State key must also be qualified by the Character keyref in which it is contained. In strict schema the selector path must guarantee the uniqueness and existence of reference Character and State keys in the terminology element. In the lenient schema this is not required. Adding terminology to Character elements is recommended as best practice. If the strict requirement is implemented by xml-keyrefs, then it is equivalent to validity.-->
			<CharacterDefinition key="stem, hairiness">
				<LinguisticSets>
					<LinguisticSet keyref="en5">
						<Label>stem hairiness</Label>
					</LinguisticSet>
				</LinguisticSets>
				<DescriptorDefinitions>
					<LocalStateDefinitions>
						<StateDefinition key="glabrous">
							<LinguisticSets>
								<LinguisticSet keyref="en5">
									<Label>glabrous</Label>
								</LinguisticSet>
							</LinguisticSets>
						</StateDefinition>
						<StateDefinition key="hairy">
							<LinguisticSets>
								<LinguisticSet keyref="en5">
									<Label>hairy</Label>
								</LinguisticSet>
							</LinguisticSets>
						</StateDefinition>
					</LocalStateDefinitions>
				</DescriptorDefinitions>
			</CharacterDefinition>
			<CharacterDefinition key="leaves, persistence">
				<LinguisticSets>
					<LinguisticSet keyref="en5">
						<Label>leaves, persistence</Label>
					</LinguisticSet>
				</LinguisticSets>
				<DescriptorDefinitions>
					<LocalStateDefinitions>
						<StateDefinition key="persistent">
							<LinguisticSets>
								<LinguisticSet keyref="en5">
									<Label>persistence</Label>
								</LinguisticSet>
							</LinguisticSets>
						</StateDefinition>
						<StateDefinition key="deciduous">
							<LinguisticSets>
								<LinguisticSet keyref="en5">
									<Label>deciduous</Label>
								</LinguisticSet>
							</LinguisticSets>
						</StateDefinition>
					</LocalStateDefinitions>
				</DescriptorDefinitions>
			</CharacterDefinition>
			<CharacterDefinition key="leaves, shape">
				<LinguisticSets>
					<LinguisticSet keyref="en5">
						<Label>leaf shape</Label>
					</LinguisticSet>
				</LinguisticSets>
				<DescriptorDefinitions>
					<LocalStateDefinitions>
						<StateDefinition key="oblong">
							<LinguisticSets>
								<LinguisticSet keyref="en5">
									<Label>oblong</Label>
								</LinguisticSet>
							</LinguisticSets>
						</StateDefinition>
						<StateDefinition key="linear">
							<LinguisticSets>
								<LinguisticSet keyref="en5">
									<Label>linear</Label>
								</LinguisticSet>
							</LinguisticSets>
						</StateDefinition>
						<StateDefinition key="lanceolate">
							<LinguisticSets>
								<LinguisticSet keyref="en5">
									<Label>lanceolate</Label>
								</LinguisticSet>
							</LinguisticSets>
						</StateDefinition>
					</LocalStateDefinitions>
				</DescriptorDefinitions>
			</CharacterDefinition>
			<CharacterDefinition key="leaves apex, shape">
				<LinguisticSets>
					<LinguisticSet keyref="en5">
						<Label>leaf apex shape</Label>
					</LinguisticSet>
				</LinguisticSets>
				<DescriptorDefinitions>
					<LocalStateDefinitions>
						<StateDefinition key="obtuse">
							<LinguisticSets>
								<LinguisticSet keyref="en5">
									<Label>obtuse</Label>
								</LinguisticSet>
							</LinguisticSets>
						</StateDefinition>
						<StateDefinition key="acute">
							<LinguisticSets>
								<LinguisticSet keyref="en5">
									<Label>acute</Label>
								</LinguisticSet>
							</LinguisticSets>
						</StateDefinition>
					</LocalStateDefinitions>
				</DescriptorDefinitions>
			</CharacterDefinition>
			<CharacterDefinition key="leaves apex, hairiness">
				<LinguisticSets>
					<LinguisticSet keyref="en5">
						<Label>leaves apex, hairiness</Label>
					</LinguisticSet>
				</LinguisticSets>
				<DescriptorDefinitions>
					<LocalStateDefinitions>
						<StateDefinition key="glabrous">
							<LinguisticSets>
								<LinguisticSet keyref="en5">
									<Label>glabrous</Label>
								</LinguisticSet>
							</LinguisticSets>
						</StateDefinition>
						<StateDefinition key="hirsute">
							<LinguisticSets>
								<LinguisticSet keyref="en5">
									<Label>hirsute</Label>
								</LinguisticSet>
							</LinguisticSets>
						</StateDefinition>
					</LocalStateDefinitions>
				</DescriptorDefinitions>
			</CharacterDefinition>
			<CharacterDefinition key="stipules, length">
				<LinguisticSets>
					<LinguisticSet keyref="en5">
						<Label>stipule length</Label>
					</LinguisticSet>
				</LinguisticSets>
				<DescriptorDefinitions>
					<LocalStateDefinitions>
						<StateDefinition key="very long  stipule length">
							<LinguisticSets>
								<LinguisticSet keyref="en5">
									<Label>very long</Label>
								</LinguisticSet>
							</LinguisticSets>
						</StateDefinition>
						<StateDefinition key="short stipule length">
							<LinguisticSets>
								<LinguisticSet keyref="en5">
									<Label>short</Label>
								</LinguisticSet>
							</LinguisticSets>
						</StateDefinition>
					</LocalStateDefinitions>
					<MeasureDefinitions>
						<MeasureDefinition key="stipules-length-mean" keyref="mean"/>
					</MeasureDefinitions>
				</DescriptorDefinitions>
			</CharacterDefinition>
			<CharacterDefinition key="stipules, shape" type="nominal">
				<LinguisticSets>
					<LinguisticSet keyref="en5">
						<Label>stipule shape</Label>
					</LinguisticSet>
				</LinguisticSets>
				<DescriptorDefinitions>
					<LocalStateDefinitions>
						<StateDefinition key="oblong">
							<LinguisticSets>
								<LinguisticSet keyref="en5">
									<Label>oblong</Label>
								</LinguisticSet>
							</LinguisticSets>
						</StateDefinition>
						<StateDefinition key="linear">
							<LinguisticSets>
								<LinguisticSet keyref="en5">
									<Label>linear</Label>
								</LinguisticSet>
							</LinguisticSets>
						</StateDefinition>
					</LocalStateDefinitions>
				</DescriptorDefinitions>
			</CharacterDefinition>
			<CharacterDefinition key="stipule-color" type="ordinal-interval">
				<LinguisticSets>
					<LinguisticSet keyref="en5">
						<Label>stipule color</Label>
					</LinguisticSet>
				</LinguisticSets>
				<DescriptorDefinitions>
					<GlobalStateSetReference keyref="color">
						<Selections>
							<DescriptorSelection keyref="green"/>
							<DescriptorSelection keyref="white"/>
						</Selections>
					</GlobalStateSetReference>
					<GlobalStateSetReference keyref="color_metallic">
						<Selections>
							<DescriptorSelection keyref="green-metallic"/>
						</Selections>
					</GlobalStateSetReference>
					<LocalStateDefinitions>
						<StateDefinition key="black">
							<LinguisticSets>
								<LinguisticSet keyref="en5">
									<Label>black</Label>
									<Wording>+++</Wording>
								</LinguisticSet>
								<LinguisticSet keyref="de5">
									<Label>Schwarz</Label>
									<Wording>+++</Wording>
								</LinguisticSet>
							</LinguisticSets>
						</StateDefinition>
						<StateDefinition key="gray">
							<LinguisticSets>
								<LinguisticSet keyref="en5">
									<Label>gray</Label>
									<Wording>+++</Wording>
								</LinguisticSet>
							</LinguisticSets>
						</StateDefinition>
					</LocalStateDefinitions>
				</DescriptorDefinitions>
			</CharacterDefinition>
			<CharacterDefinition key="stipules, joining">
				<LinguisticSets>
					<LinguisticSet keyref="en5">
						<Label>stipules, joining</Label>
					</LinguisticSet>
				</LinguisticSets>
				<DescriptorDefinitions>
					<LocalStateDefinitions>
						<StateDefinition key="joined around the node">
							<LinguisticSets>
								<LinguisticSet keyref="en5">
									<Label>joined around the node</Label>
								</LinguisticSet>
							</LinguisticSets>
						</StateDefinition>
						<StateDefinition key="not joined around the node">
							<LinguisticSets>
								<LinguisticSet keyref="en5">
									<Label>not joined around the node</Label>
								</LinguisticSet>
							</LinguisticSets>
						</StateDefinition>
					</LocalStateDefinitions>
				</DescriptorDefinitions>
			</CharacterDefinition>
			<CharacterDefinition key="spines, stoutness">
				<LinguisticSets>
					<LinguisticSet keyref="en5">
						<Label>spines, stoutness</Label>
					</LinguisticSet>
				</LinguisticSets>
				<DescriptorDefinitions>
					<LocalStateDefinitions>
						<StateDefinition key="stout">
							<LinguisticSets>
								<LinguisticSet keyref="en5">
									<Label>stout</Label>
								</LinguisticSet>
							</LinguisticSets>
						</StateDefinition>
						<StateDefinition key="not stout">
							<LinguisticSets>
								<LinguisticSet keyref="en5">
									<Label>not stout</Label>
								</LinguisticSet>
							</LinguisticSets>
						</StateDefinition>
					</LocalStateDefinitions>
				</DescriptorDefinitions>
			</CharacterDefinition>
			<CharacterDefinition key="leaf-color">
				<LinguisticSets>
					<LinguisticSet keyref="en5">
						<Label>leaf color</Label>
					</LinguisticSet>
				</LinguisticSets>
				<DescriptorDefinitions>
					<GlobalStateSetReference keyref="color"/>
				</DescriptorDefinitions>
			</CharacterDefinition>
			<CharacterDefinition key="GrowthDiam15c7d_OA">
				<!--    character definition example for measures: -->
				<LinguisticSets>
					<LinguisticSet keyref="en5">
						<Label>diameter after 7 d on OA (15 °C)</Label>
					</LinguisticSet>
				</LinguisticSets>
				<DescriptorDefinitions>
					<MeasureDefinitions>
						<!-- These definitions constrain which global measure definitions can appear in items of this character -->
						<MeasurementUnit Postfix="true">mm<sup>2</sup>
							<!-- MeasurementUnit is element here, can not be used except for numerical data. Cannot be an attribute of MeasureDefinitions, since markup for super/subscript is frequently needed. Postfix = false allows to define that the MeasurementUnit is output as a prefix to the number, e.g. for "pH" -->
						</MeasurementUnit>
						<MeasureDefinition key="GDMax" keyref="max">
							<!-- Note: if the globally defined measure definitions should in the future be derived from an xml include statement, the wording there can not be extended! -->
						</MeasureDefinition>
						<MeasureDefinition key="GDMean" keyref="mean"/>
						<MeasureDefinition key="GDPercentile89" keyref="Percentile"/>
					</MeasureDefinitions>
				</DescriptorDefinitions>
			</CharacterDefinition>
		</CharacterDefinitions>
		<CharacterGroupDefinitions>
			<!-- Character groups define hierarchies as well as subsets of the Character list -->
			<CharacterGroupDefinition key="my preferred plant part hierarchy" MinimumExpertiseLevel="3" complete="true" type="PartHierarchy">
				<!--  MinimumExpertiseLevel: the designer of the subset expects the user to have a  certain minimum expertise level -->
				<!-- If a Character grouping is defined as complete, a processor should warn the designer if a Character missing.
             An application may add newly defined Characters automatically to such Character groups. -->
				<LinguisticSets>
					<LinguisticSet keyref="en5">
						<Label>Plant organ hierarchy</Label>
					</LinguisticSet>
				</LinguisticSets>
				<Purposes>
					<!-- uses to which the hierarchy can be put, as intended by the designer -->
					<Purpose name="NaturalLanguageReporting"/>
					<Purpose name="InteractiveIdentification"/>
					<Purpose name="GuidedKeyBuilder"/>
					<Purpose name="DefaultDescriptionEditorView"/>
					<Purpose name="DefaultGeneral"/>
					<!--- Purposes: DefaultGeneral = use for any purpose, unless something is found for the specific purpose. Should only occur once in the collection CharacterGroupDefinitions.  Try later to add a validation for this in the schema. -->
				</Purposes>
				<CharacterGroupItem key="entire plant">
					<LinguisticSets>
						<LinguisticSet keyref="en5">
							<Label>Entire plant</Label>
							<GlossaryEntry>The entire plant compromises all above-ground (stem, leaves, inflorescence) and below-ground (roots, rhizomes, etc.) parts</GlossaryEntry>
							<NaturalLanguage>
								<!--NaturalLanguage is an example of a data type required to be free of references to anything else, and which only has a containment relationship to its parent object. These data types can either be processed, or stored and passed through when the next output is generated. -->
								<Wording>habit</Wording>
								<WordingAfter/>
								<NonTerminalDelimiter>;</NonTerminalDelimiter>
								<TerminalDelimiter>;</TerminalDelimiter>
							</NaturalLanguage>
						</LinguisticSet>
						<LinguisticSet keyref="de5">
							<Label>Gesamte Pflanze</Label>
						</LinguisticSet>
					</LinguisticSets>
					<InternalNotes>Check these characters!</InternalNotes>
					<!-- LucID 3 has properties for the nodes of the tree: "check these Characters" -> ok as long as only management properties, otherwise refactoring of tree/Characters etc. would be a problem-->
					<Character keyref="habit">
						<LinguisticSets>
							<LinguisticSet keyref="en5">
								<Label>habit</Label>
							</LinguisticSet>
							<LinguisticSet keyref="de5">
								<Label>Habitus</Label>
							</LinguisticSet>
						</LinguisticSets>
					</Character>
					<CharacterGroupItem key="stem">
						<LinguisticSets>
							<LinguisticSet keyref="en5">
								<Label>Stem</Label>
							</LinguisticSet>
							<LinguisticSet keyref="de5">
								<Label>Stamm</Label>
							</LinguisticSet>
						</LinguisticSets>
						<CharacterGroupItem key="trunk">
							<LinguisticSets>
								<LinguisticSet keyref="en5">
									<Label>trunk</Label>
								</LinguisticSet>
							</LinguisticSets>
							<Character keyref="trunk color"/>
						</CharacterGroupItem>
						<CharacterGroupItem key="branch">
							<Character keyref="branch color">
								<LinguisticSets>
									<LinguisticSet keyref="en5">
										<Label>color</Label>
									</LinguisticSet>
									<LinguisticSet keyref="de5">
										<Label>Farbe</Label>
									</LinguisticSet>
								</LinguisticSets>
								<!-- Wording for Character node needs to be here. The relevant or possible wording is constrained by the path in the tree, so it needs to be defined in the tree, not in the flat character list. In a methodological tree the wording may have to add part hierarchy information, in a part hierarchy methodological information. -->
							</Character>
						</CharacterGroupItem>
					</CharacterGroupItem>
					<CharacterGroupItem key="leaf">
						<LinguisticSets>
							<LinguisticSet keyref="en5">
								<Label>leaf</Label>
							</LinguisticSet>
						</LinguisticSets>
						<CharacterGroupItem key="lamina (blade)">
							<LinguisticSets>
								<LinguisticSet keyref="en5">
									<Label>lamina (blade)</Label>
								</LinguisticSet>
							</LinguisticSets>
						</CharacterGroupItem>
						<CharacterGroupItem key="petiole">
							<LinguisticSets>
								<LinguisticSet keyref="en5">
									<Label>petiole</Label>
								</LinguisticSet>
							</LinguisticSets>
						</CharacterGroupItem>
						<CharacterGroupItem key="stipules">
							<LinguisticSets>
								<LinguisticSet keyref="en5">
									<Label>stipules</Label>
								</LinguisticSet>
							</LinguisticSets>
						</CharacterGroupItem>
					</CharacterGroupItem>
				</CharacterGroupItem>
				<!-- organism parts hierarchy for the following example
entire plant
   char: "habit"
stem
  trunk
   char: "trunk color"
  branch
   char: "branch color"
leaf
  lamina (= blade)
    char: "leaves, shape"
    margin
      char: "revolution" (states: revolute/involute)
      toothing
        char: "toothing, presence"
    apex
      char: "leaf apex, shape"
    base
      char: "leaf base, shape"
   petiole
root
   ...
Note: not all characters are necessarily in the parts hierarchy. Phenology, distribution, sounds, behavior, etc. are neither structures or parts!
-->
			</CharacterGroupDefinition>
			<CharacterGroupDefinition key="Growth diameter (time and temperature)" type="CharacterArray">
				<!-- Character groups can also define n-dimensional array arrangements: By default the innermost dimension is considered row, the next table (rows). Any further dimension can only be displayed as pages or when using a pivot viewer. Recommendation: applications should attempt to display 3 dimensions as multiple 2-dimensional tables one below the other. -->
				<LinguisticSets>
					<LinguisticSet keyref="en5">
						<Label>Table of Growth diameter (by time and temperature)</Label>
					</LinguisticSet>
				</LinguisticSets>
				<!-- rows -->
				<CharacterGroupItem key="row1">
					<!-- row -->
					<Character keyref="GrowthDiam15c7d_OA"/>
					<Character keyref="GrowthDiam15c7d_MA"/>
					<Character keyref="GrowthDiam15c7d_SNA"/>
				</CharacterGroupItem>
				<CharacterGroupItem key="row2">
					<!-- row -->
					<Character keyref="GrowthDiam15c14d_OA"/>
					<Character keyref="GrowthDiam15c14d_MA"/>
					<Character keyref="GrowthDiam15c14d_SNA"/>
				</CharacterGroupItem>
				<CharacterGroupItem key="row3">
					<!-- row -->
					<Character keyref="GrowthDiam15c21d_OA"/>
					<Character keyref="GrowthDiam15c21d_MA"/>
					<Character keyref="GrowthDiam15c21d_SNA"/>
				</CharacterGroupItem>
				<!-- end rows -->
			</CharacterGroupDefinition>
			<!-- other types possible for character group are: -->
			<CharacterGroupDefinition key="Observation methods" MinimumExpertiseLevel="3" complete="true" type="ObservationMethodHierarchy">
				<LinguisticSets>
					<LinguisticSet keyref="en5">
						<Label>Observation methods</Label>
					</LinguisticSet>
				</LinguisticSets>
				<CharacterGroupItem key="CultureMethods">
					<!-- dummy content! -->
					<Character keyref="GrowthDiam15c7d_OA"/>
					<Character keyref="GrowthDiam15c7d_MA"/>
					<Character keyref="GrowthDiam15c7d_SNA"/>
				</CharacterGroupItem>
			</CharacterGroupDefinition>
		</CharacterGroupDefinitions>
	</Terminology>
	<ResourceDefinitions>
		<!-- Proposal to actually include Resources totally rather than only URIs. This probably means that they should be referenced by keyref elsewhere, which are here resolved either into included data, or into a URI-->
		<ResourceDefinition type="Image" key="129838729427" uri="http://sdfkjsdf.fksdf.edu/x.gif"/>
		<ResourceDefinition type="Image" key="129838729427" uri="http://sdfkjsdf.fksdf.edu/y.gif"/>
		<ResourceDefinition type="Image" key="1231231123" uri="http://sdfkjsdf.fksdf.edu/z.gif"/>
		<ResourceDefinition type="Subkey" key="1231231123">
			<EncodedData>HUDHEOIJKMDSKDPOKWEIJ</EncodedData>
		</ResourceDefinition>
		<ResourceDefinition type="Semantics" key="243872847" urn="Dictionary of Trees, 7th edition, fig 2.b"/>
	</ResourceDefinitions>
	<ApplicationData>
		<!-- Application specific information is placed in Processing Instructions. Recommendation: Each application may read out its own information. Any other target information present should be preserved and output when a new document is generated. This is designed to support itempotent round tripping data between two applications. This implies that no dependency between the settings and the items and the terminology setting should be relied upon. -->
		<?pi target="LucID"
something for LucID
?>
		<?pi target="DiversityDescriptions" version="2.1"
   <ReportDefinitions>
   <ToHTML name="default">sdij324,234,,4565,,4,6456,,567,,567</ToHTML>
   </ReportDefinitions>
?>
	</ApplicationData>
</Document>

