<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20220207</CreaDate>
<CreaTime>07530200</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<MapLyrSync>TRUE</MapLyrSync>
</Esri>
<dataIdInfo>
<idCitation>
<resTitle>waterquality_layers_v3</resTitle>
</idCitation>
<idAbs>These layers are used by the Water Quality Data Portal to show data for surface and ground water stations within Alberta. These layers are not intended to be used on their own, but thru the web apphttps://environment.extranet.gov.ab.ca/apps/WaterQuality/dataportal. Data is served from the Enterprise Data Warehouse and provides users with station inventory, data downloads and access to samples collected at those locations.</idAbs>
<idPurp>Water Quality Data Portal Business layers, sourced from the Enterprise Data Warehouse for ground water and surface water, stations and samples</idPurp>
<idCredit>Alberta Environment and Protected Areas, Enterprise Data Warehouse.</idCredit>
<resConst>
<Consts>
<useLimit>This service is intended to be used with the web application to drive business logic and display of the data.</useLimit>
</Consts>
</resConst>
<searchKeys>
<keyword>waterquality_layers_v3</keyword>
<keyword>MapServer</keyword>
<keyword>Surface Water</keyword>
<keyword>Ground Water</keyword>
<keyword>Trophic Status</keyword>
</searchKeys>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO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</Data>
</Thumbnail>
</Binary>
</metadata>
