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 <dataset>  <title>The Global Population Dynamics Database</title>
<creator id="1417562527964"><individualName><givenName>John</givenName>
 <surName>Prendergast</surName>
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 <address><deliveryPoint>Centre for Population Biology Imperial College</deliveryPoint>
 <deliveryPoint>Silwood Park</deliveryPoint>
 <city>Ascot</city>
 <administrativeArea>Berkshire</administrativeArea>
 <postalCode>SL5 7PY</postalCode>
 <country>United Kingdom</country>
 </address>
 <phone phonetype="voice">01344 294472</phone>
 <phone phonetype="fax">01344 873173</phone>
 <electronicMailAddress>johnp@everton42.freeserve.co.uk</electronicMailAddress>
 </creator>
 <creator id="1429903258711"><individualName><givenName>Ellen</givenName>
 <surName>Bazeley-White</surName>
 </individualName>
 </creator>
 <creator id="1429903279316"><individualName><givenName>Owen</givenName>
 <surName>Smith</surName>
 </individualName>
 </creator>
 <creator id="1429903289189"><individualName><givenName>John</givenName>
 <surName>Lawton</surName>
 </individualName>
 </creator>
 <creator id="1429903300084"><individualName><givenName>Pablo</givenName>
 <surName>Inchausti</surName>
 </individualName>
 </creator>
 <creator id="1429903319490"><individualName><givenName>David</givenName>
 <surName>Kidd</surName>
 </individualName>
 </creator>
 <creator id="1429903327762"><individualName><givenName>Sarah</givenName>
 <surName>Knight</surName>
 </individualName>
 </creator>
 <associatedParty id="1417562964649"><individualName><givenName>Rob</givenName>
 <surName>Anderson</surName>
 </individualName>
 <role>Content Provider</role>
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 <associatedParty id="1417562982002"><individualName><givenName>Ellen</givenName>
 <surName>Bazeley-White</surName>
 </individualName>
 <role>Content Provider</role>
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 <associatedParty id="1417563012740"><individualName><givenName>Andrea</givenName>
 <surName>Chadden</surName>
 </individualName>
 <role>Metadata Provider</role>
 </associatedParty>
 <associatedParty id="1417563044253"><individualName><givenName>Jessica</givenName>
 <surName>Couture</surName>
 </individualName>
 <organizationName>National Center for Ecological Analysis and Synthesis</organizationName>
 <positionName>Research Assistant</positionName>
 <address><deliveryPoint>735 State St., Suite 300</deliveryPoint>
 <city>Santa Barbara</city>
 <administrativeArea>CA</administrativeArea>
 <postalCode>93101</postalCode>
 <country>USA</country>
 </address>
 <electronicMailAddress>couture@nceas.ucsb.edu</electronicMailAddress>
 <role>Metadata Provider</role>
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 <pubDate>2010</pubDate>
<abstract><para>As a source of animal and plant population data, the Global Population Dynamics Database (GPDD) is unrivalled. Nearly five thousand separate time series are available here. In addition to all the population counts, there are taxonomic details of over 1400 species. The type of data contained in the GPDD varies enormously, from annual counts of mammals or birds at individual sampling sites, to weekly counts of zooplankton and other marine fauna. The project commenced in October 1994, following discussions on ways in which the collaborating partners could make a practical and enduring contribution to research into population dynamics. A small team was assembled and, with assistance and advice from numerous interested parties we decided to construct the database using the popular Microsoft Access platform. After an initial design phase, the major task has been that of locating, extracting, entering and validating the data in all the various tables. Now, nearly 5000 individual datasets have been entered onto the GPDD. The Global Population Dynamics Database comprises six Tables of data and information. The tables are linked to each other as shown in the diagram shown in figure 3 of the GPDD User Guide (GPDD-User-Guide.pdf). Referential integrity is maintained through record ID numbers which are held, along with other information in the Main Table. It's structure obeys all the rules of a standard relational database.</para>
</abstract>
  <keywordSet><keyword>Time series data</keyword>
 <keyword>animal populations</keyword>
 <keyword>plant populations</keyword>
 <keyword>count data</keyword>
 </keywordSet>
 <intellectualRights><para>This compilaiton is a collection of datasets that have been previously compiled from public sources; all restricted datasets have been omitted. All datasets are fully referenced in the database, and, before embarking on any analysis, we encourage you to locate and refer to the original source material wherever possible. In most case we have been able to provide the complete citation to enable you to do this.

Standard scientific norms for attribution and credit should be followed when using these data, including to the original sources.  This work is licensed under a Creative Commons Attribution 4.0 International License (CC-BY; http://creativecommons.org/licenses/by/4.0/).</para>
 </intellectualRights>
 <coverage><geographicCoverage><geographicDescription>Worldwide</geographicDescription>
 <boundingCoordinates><westBoundingCoordinate>-180.0</westBoundingCoordinate>
 <eastBoundingCoordinate>180.0</eastBoundingCoordinate>
 <northBoundingCoordinate>90.0</northBoundingCoordinate>
 <southBoundingCoordinate>-90.0</southBoundingCoordinate>
 </boundingCoordinates>
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 <temporalCoverage><rangeOfDates><beginDate><calendarDate>1538</calendarDate>
 </beginDate>
 <endDate><calendarDate>2003</calendarDate>
 </endDate>
 </rangeOfDates>
 </temporalCoverage>
 </coverage>
 <contact id="1417562693930"><individualName><givenName>Glen</givenName>
 <surName>Dawkins</surName>
 </individualName>
 <organizationName>NERC Centre for Population Biology</organizationName>
 <address><deliveryPoint>NERC Centre for Population Biology Imperial College London Silwood Park Campus</deliveryPoint>
 <city>Ascot</city>
 <administrativeArea>Berkshire</administrativeArea>
 <postalCode>SL5 7PY</postalCode>
 <country>United Kindom</country>
 </address>
 <phone phonetype="voice">44 (0)20 7594 2475</phone>
 <phone phonetype="fax">44 (0)1344 873173</phone>
 <electronicMailAddress>g.dawkins@ic.ac.uk</electronicMailAddress>
 </contact>
 <contact id="1417562850366"><individualName><salutation>Dr.</salutation>
 <givenName>David</givenName>
 <surName>Orme</surName>
 </individualName>
 <electronicMailAddress>d.orme@imperial.ac.uk</electronicMailAddress>
 </contact>
 <contact id="1417562913945"><individualName><salutation>Dr.</salutation>
 <givenName>Pawar</givenName>
 <surName>Samraat</surName>
 </individualName>
 <electronicMailAddress>s.pawar@imperial.ac.uk</electronicMailAddress>
 </contact>
 <methods><methodStep><description><section><title>Collection of time series data</title>
 <para>The time series in the database come from both published and unpublished sources. They have been located in a variety of ways: (1) By systematically searching back issues of the predominant ecological and science journals; (2) By following citation trails: when a suitable time series is located in a publication, there are usually one or more references to similar or comparable studies in the citations list: every paper tends to lead to another paper. (3) By searching the world wide web, where an increasing number of ecological datasets are being made available. (4) By searching promising book titles. The vintage literature often contains a wealth of tabulated data of varying types, and we have drawn extensively upon the resources of the Imperial College library and the British Library to locate many long-out-of-print volumes. (5) By negotiating access to unpublished data. Through our network of professional contacts we have endeavoured to locate unpublished data which collectors are prepared to contribute to the project. Quite often, and quite understandably, collectors prefer to retain data for their own use, at least until they have published. We have, however been delighted at the selfless response of several collectors, who have donated unpublished data with no, or few, restrictions. All datasets are fully referenced in the database, and, before embarking on any analysis, we encourage you to locate and refer to the original source material wherever possible. In most case we have been able to provide the complete citation to enable you to do this.</para>
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 <attribute id="1417565531765"><attributeName>SampleYear</attributeName>
 <attributeDefinition>year of sample</attributeDefinition>
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 <attributeDefinition>Time-scaled time-series step. Series begin at zero and then increments by the minimum time step required to define all periods between samples.</attributeDefinition>
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 <attribute id="1417565531769"><attributeName>DecimalYearBegin</attributeName>
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 <numberOfRecords>179859</numberOfRecords>
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 <entityDescription>A MAIN record is a ‘time series’ which is unique Taxon/Location/LifeCycle combination. Sequential data for multiple life stages (e.g. eggs, larve and adults) are split into different Main records and must be amalgamated to create a single time series. Where more than one adult generation occurs per year generation is identified in the generation column of the data table.</entityDescription>
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 <attribute id="1417566636783"><attributeName>BiotopeID</attributeName>
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 <attribute id="1417566636785"><attributeName>SamplingUnits</attributeName>
 <attributeDefinition>The entity observed. Entries include, ‘adults’, ‘cells’, ‘egg masses’, and ‘pelts’.</attributeDefinition>
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 <attributeDefinition>How entities were sampled. Values are ‘Count’, ‘Count (millions)’, ‘Harvest’, ‘Index of abundance’, ‘Index of territories’, ‘Leaf area’, ‘Mean Count’, ‘Not Specified’, ‘Percent cover’ and ‘Sample’.</attributeDefinition>
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 <attribute id="1417566636787"><attributeName>SourceDimension</attributeName>
 <attributeDefinition>The dimension of source table or graph. Values are Area coverage, Biomass, Catch, Count, Count (estimated), Density, Density (estimated), Index, Index - CPUE, Mean Area Coverage, Mean Biomass, Mean concentration, Mean Count, Mean Density, Mean Harvest, Minimum Count, Not Specified, Percent Count, Relative Density, Transformed Biomass, Transformed Count, Transformed Density and Unknown.</attributeDefinition>
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 <attributeDefinition>The sampling effort. Usually a measure of temporal effort but also census, density, harvest.</attributeDefinition>
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 <attribute id="1417566636789"><attributeName>SpatialDensity</attributeName>
 <attributeDefinition>The spatial unit of a density</attributeDefinition>
 <measurementScale><nominal><nonNumericDomain><textDomain><definition>density unit</definition>
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 <attribute id="1417566636790"><attributeName>SourceTransform</attributeName>
 <attributeDefinition>Any transformation of the data</attributeDefinition>
 <measurementScale><nominal><nonNumericDomain><textDomain><definition>transformation</definition>
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 </attribute>
 <attribute id="1417566636791"><attributeName>SourceTransformReference</attributeName>
 <attributeDefinition>Details of the reference value of any data transformation. Base Year, Log, None, Not Specified, Proportion, Unknown, x 1000 lbs.</attributeDefinition>
 <measurementScale><nominal><nonNumericDomain><textDomain><definition>transformation Ref</definition>
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 <attribute id="1417566636792"><attributeName>AssociatedDataSets</attributeName>
 <attributeDefinition>Comma separated list of MainID of other series from the same study or to which the series can be directly compared.</attributeDefinition>
 <measurementScale><nominal><nonNumericDomain><textDomain><definition>associated dataset codes</definition>
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 <attribute id="1417566636793"><attributeName>Reliability</attributeName>
 <attributeDefinition>Subjective rank, 1-5, 1=least reliable, 5=most reliable. (see  'Quality Control' in GPDD-User-Guide.pdf)</attributeDefinition>
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 <attribute id="1417566636794"><attributeName>StartYear</attributeName>
 <attributeDefinition>The year in which sampling commenced. 9999 - if series relates to generations and not calendar dates</attributeDefinition>
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 <entityDescription>TimePeriod is a look-up table that provides text descriptions of the temporal period the sample relates to such as ‘January’, ‘Spring’, ‘Week 1’ and ‘Day 1’.</entityDescription>
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 <attributeDefinition>Group time period belongs to, e.g. month, quarter, season, wet/dry etc.</attributeDefinition>
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0 = Unknown
1 = &gt;100 km radius
2 = 10 - &lt;100km
3 = 1 - &lt;9km, 4 = 0.1 - 1km
5 = 10 - 100m
6 = accurate survey (incl. GPS) &lt;= 10m</attributeDefinition>
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Where available absolute size is recorded in the Area field. 1 = Region &gt;10 km radius
2 = Local Area 1-10 km radius
3 = Extended Site 0.1-1 km radius
4 = Precise Site &lt;0.1 km radius</attributeDefinition>
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