<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="pt">
<Esri>
<CreaDate>20221128</CreaDate>
<CreaTime>10133300</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idAbs>Feições de pontos, confeccionadas a partir de dados do Projeto Zoneamento Socioeconômico Ecológico do Estado de Mato Grosso, etapa Diagnóstico, escala 1:1.500.000, que explicitam a localização dos pontos de registros de coleta e/ou observações de peixes do Estado de Mato Grosso, que junto com as feições de polígonos dos biomas (Amazônico, Cerrado e Pantanal), as feições de pontos das classes de densidade da amostra, e código da localidade e número de espécies, e das feições de linhas das setas de indicação, integram o mapa de Distribuição dos Registros de Coleta e/ou Observação de Peixes do Estado de Mato Grosso, estudo do tema Fauna. Este mapa integra o Atlas de Mato Grosso, (SEPLAN-MT, 2011). SEPLAN-MT, Secretaria de Estado de Planejamento e Coordenação Geral, Organização de Lígia Camargo, 2011. Atlas de Mato Grosso: Abordagem socioeconômica-ecológica. Cuiabá, MT: Ed. Entrelinhas, 96 p.
</idAbs>
<searchKeys>
<keyword>FP02_REGISTRO_DE_COLETA_E_OU¬_OBSERVACAO_DE_PEIXES</keyword>
</searchKeys>
<idPurp>Feições de pontos, confeccionadas a partir de dados do Projeto Zoneamento Socioeconômico Ecológico do Estado de Mato Grosso, etapa Diagnóstico, escala 1:1.500.000</idPurp>
<idCredit>INTERGEO - INTERMAT</idCredit>
<resConst>
<Consts>
<useLimit>PÚBLICO</useLimit>
</Consts>
</resConst>
<idCitation>
<resTitle>FP01</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">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</Data>
</Thumbnail>
</Binary>
</metadata>
