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Layer: Permissive areas for mineral deposits (1)

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• LCT pegmatite Li
• Orthomagmatic Fe-Ti-V
• Reef Cr
• Podiform Cr
• Contact PGE
• Reef PGE
• Synorogenic intrusive Ni-Cu
• Komatiitic Ni-Cu
• Orogenic Au
• Porphyry Cu
• VMS
• Outokumpu Cu-Zn-Co
• Talvivaara-type Ni-Zn-Cu-Co
Name: Permissive areas for mineral deposits

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Layer: Kuusamo-type Co-Au (2)

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Layer: LCT pegmatite Li (3)

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Layer: Orthomagmatic Fe-Ti-V (4)

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• AG_ESTIM_50_PERCENT_PROB ( type: esriFieldTypeDouble, alias: AG_ESTIM_50_PERCENT_PROB )
• AG_ESTIM_90_PERCENT_PROB ( type: esriFieldTypeDouble, alias: AG_ESTIM_90_PERCENT_PROB )
• AG_MEAN_ESTIMATE ( type: esriFieldTypeDouble, alias: AG_MEAN_ESTIMATE )
• AU_ESTIM_10_PERCENT_PROB ( type: esriFieldTypeDouble, alias: AU_ESTIM_10_PERCENT_PROB )
• AU_ESTIM_50_PERCENT_PROB ( type: esriFieldTypeDouble, alias: AU_ESTIM_50_PERCENT_PROB )
• AU_ESTIM_90_PERCENT_PROB ( type: esriFieldTypeDouble, alias: AU_ESTIM_90_PERCENT_PROB )
• AU_MEAN_ESTIMATE ( type: esriFieldTypeDouble, alias: AU_MEAN_ESTIMATE )
• CO_ESTIM_10_PERCENT_PROB ( type: esriFieldTypeDouble, alias: CO_ESTIM_10_PERCENT_PROB )
• CO_ESTIM_50_PERCENT_PROB ( type: esriFieldTypeDouble, alias: CO_ESTIM_50_PERCENT_PROB )
• CO_ESTIM_90_PERCENT_PROB ( type: esriFieldTypeDouble, alias: CO_ESTIM_90_PERCENT_PROB )
• CO_MEAN_ESTIMATE ( type: esriFieldTypeDouble, alias: CO_MEAN_ESTIMATE )
• CR_ESTIM_10_PERCENT_PROB ( type: esriFieldTypeDouble, alias: CR_ESTIM_10_PERCENT_PROB )
• CR_ESTIM_50_PERCENT_PROB ( type: esriFieldTypeDouble, alias: CR_ESTIM_50_PERCENT_PROB )
• CR_ESTIM_90_PERCENT_PROB ( type: esriFieldTypeDouble, alias: CR_ESTIM_90_PERCENT_PROB )
• CR_MEAN_ESTIMATE ( type: esriFieldTypeDouble, alias: CR_MEAN_ESTIMATE )
• CU_ESTIM_10_PERCENT_PROB ( type: esriFieldTypeDouble, alias: CU_ESTIM_10_PERCENT_PROB )
• CU_ESTIM_50_PERCENT_PROB ( type: esriFieldTypeDouble, alias: CU_ESTIM_50_PERCENT_PROB )
• CU_ESTIM_90_PERCENT_PROB ( type: esriFieldTypeDouble, alias: CU_ESTIM_90_PERCENT_PROB )
• CU_MEAN_ESTIMATE ( type: esriFieldTypeDouble, alias: CU_MEAN_ESTIMATE )
• FE_ESTIM_10_PERCENT_PROB ( type: esriFieldTypeDouble, alias: FE_ESTIM_10_PERCENT_PROB )
• FE_ESTIM_50_PERCENT_PROB ( type: esriFieldTypeDouble, alias: FE_ESTIM_50_PERCENT_PROB )
• FE_ESTIM_90_PERCENT_PROB ( type: esriFieldTypeDouble, alias: FE_ESTIM_90_PERCENT_PROB )
• FE_MEAN_ESTIMATE ( type: esriFieldTypeDouble, alias: FE_MEAN_ESTIMATE )
• LI_ESTIM_10_PERCENT_PROB ( type: esriFieldTypeDouble, alias: LI_ESTIM_10_PERCENT_PROB )
• LI_ESTIM_50_PERCENT_PROB ( type: esriFieldTypeDouble, alias: LI_ESTIM_50_PERCENT_PROB )
• LI_ESTIM_90_PERCENT_PROB ( type: esriFieldTypeDouble, alias: LI_ESTIM_90_PERCENT_PROB )
• LI_MEAN_ESTIMATE ( type: esriFieldTypeDouble, alias: LI_MEAN_ESTIMATE )
• MO_ESTIM_10_PERCENT_PROB ( type: esriFieldTypeDouble, alias: MO_ESTIM_10_PERCENT_PROB )
• MO_ESTIM_50_PERCENT_PROB ( type: esriFieldTypeDouble, alias: MO_ESTIM_50_PERCENT_PROB )
• MO_ESTIM_90_PERCENT_PROB ( type: esriFieldTypeDouble, alias: MO_ESTIM_90_PERCENT_PROB )
• MO_MEAN_ESTIMATE ( type: esriFieldTypeDouble, alias: MO_MEAN_ESTIMATE )
• NI_ESTIM_10_PERCENT_PROB ( type: esriFieldTypeDouble, alias: NI_ESTIM_10_PERCENT_PROB )
• NI_ESTIM_50_PERCENT_PROB ( type: esriFieldTypeDouble, alias: NI_ESTIM_50_PERCENT_PROB )
• NI_ESTIM_90_PERCENT_PROB ( type: esriFieldTypeDouble, alias: NI_ESTIM_90_PERCENT_PROB )
• NI_MEAN_ESTIMATE ( type: esriFieldTypeDouble, alias: NI_MEAN_ESTIMATE )
• PB_ESTIM_10_PERCENT_PROB ( type: esriFieldTypeDouble, alias: PB_ESTIM_10_PERCENT_PROB )
• PB_ESTIM_50_PERCENT_PROB ( type: esriFieldTypeDouble, alias: PB_ESTIM_50_PERCENT_PROB )
• PB_ESTIM_90_PERCENT_PROB ( type: esriFieldTypeDouble, alias: PB_ESTIM_90_PERCENT_PROB )
• PB_MEAN_ESTIMATE ( type: esriFieldTypeDouble, alias: PB_MEAN_ESTIMATE )
• PD_ESTIM_10_PERCENT_PROB ( type: esriFieldTypeDouble, alias: PD_ESTIM_10_PERCENT_PROB )
• PD_ESTIM_50_PERCENT_PROB ( type: esriFieldTypeDouble, alias: PD_ESTIM_50_PERCENT_PROB )
• PD_ESTIM_90_PERCENT_PROB ( type: esriFieldTypeDouble, alias: PD_ESTIM_90_PERCENT_PROB )
• PD_MEAN_ESTIMATE ( type: esriFieldTypeDouble, alias: PD_MEAN_ESTIMATE )
• PT_ESTIM_10_PERCENT_PROB ( type: esriFieldTypeDouble, alias: PT_ESTIM_10_PERCENT_PROB )
• PT_ESTIM_50_PERCENT_PROB ( type: esriFieldTypeDouble, alias: PT_ESTIM_50_PERCENT_PROB )
• PT_ESTIM_90_PERCENT_PROB ( type: esriFieldTypeDouble, alias: PT_ESTIM_90_PERCENT_PROB )
• PT_MEAN_ESTIMATE ( type: esriFieldTypeDouble, alias: PT_MEAN_ESTIMATE )
• TI_ESTIM_10_PERCENT_PROB ( type: esriFieldTypeDouble, alias: TI_ESTIM_10_PERCENT_PROB )
• TI_ESTIM_50_PERCENT_PROB ( type: esriFieldTypeDouble, alias: TI_ESTIM_50_PERCENT_PROB )
• TI_ESTIM_90_PERCENT_PROB ( type: esriFieldTypeDouble, alias: TI_ESTIM_90_PERCENT_PROB )
• TI_MEAN_ESTIMATE ( type: esriFieldTypeDouble, alias: TI_MEAN_ESTIMATE )
• V_ESTIM_10_PERCENT_PROB ( type: esriFieldTypeDouble, alias: V_ESTIM_10_PERCENT_PROB )
• V_ESTIM_50_PERCENT_PROB ( type: esriFieldTypeDouble, alias: V_ESTIM_50_PERCENT_PROB )
• V_ESTIM_90_PERCENT_PROB ( type: esriFieldTypeDouble, alias: V_ESTIM_90_PERCENT_PROB )
• V_MEAN_ESTIMATE ( type: esriFieldTypeDouble, alias: V_MEAN_ESTIMATE )
• ZN_ESTIM_10_PERCENT_PROB ( type: esriFieldTypeDouble, alias: ZN_ESTIM_10_PERCENT_PROB )
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• ZN_ESTIM_90_PERCENT_PROB ( type: esriFieldTypeDouble, alias: ZN_ESTIM_90_PERCENT_PROB )
• ZN_MEAN_ESTIMATE ( type: esriFieldTypeDouble, alias: ZN_MEAN_ESTIMATE )
• P_ESTIM_10_PERCENT_PROB ( type: esriFieldTypeDouble, alias: P_ESTIM_10_PERCENT_PROB )
• P_ESTIM_50_PERCENT_PROB ( type: esriFieldTypeDouble, alias: P_ESTIM_50_PERCENT_PROB )
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• P_MEAN_ESTIMATE ( type: esriFieldTypeDouble, alias: P_MEAN_ESTIMATE )
• REE_ESTIM_10_PERCENT_PROB ( type: esriFieldTypeDouble, alias: REE_ESTIM_10_PERCENT_PROB )
• REE_ESTIM_50_PERCENT_PROB ( type: esriFieldTypeDouble, alias: REE_ESTIM_50_PERCENT_PROB )
• REE_ESTIM_90_PERCENT_PROB ( type: esriFieldTypeDouble, alias: REE_ESTIM_90_PERCENT_PROB )
• REE_MEAN_ESTIMATE ( type: esriFieldTypeDouble, alias: REE_MEAN_ESTIMATE )
• SHAPE ( type: esriFieldTypeGeometry, alias: SHAPE )
• SHAPE.AREA ( type: esriFieldTypeDouble, alias: SHAPE.AREA )
• SHAPE.LEN ( type: esriFieldTypeDouble, alias: SHAPE.LEN )

Layer: Contact PGE (7)

Parent Layer: Permissive areas for mineral deposits

Name: Contact PGE

Display Field: TRACTNAME

Type: Feature Layer

Geometry Type: esriGeometryPolygon

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Copyright Text:

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MaxRecordCount: 1000

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YMin: 7240988.4655
XMax: 604734.2895
YMax: 7626743.2677
Spatial Reference: 102139  (3067)



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• TRACTTYPE ( type: esriFieldTypeString, alias: TRACTTYPE, length: 50 )
• TRACTNAME ( type: esriFieldTypeString, alias: TRACTNAME, length: 50 )
• NUMBER_DEP_1_PERCENT_PROB ( type: esriFieldTypeDouble, alias: NUMBER_DEP_1_PERCENT_PROB )
• NUMBER_DEP_5_PERCENT_PROB ( type: esriFieldTypeDouble, alias: NUMBER_DEP_5_PERCENT_PROB )
• NUMBER_DEP_10_PERCENT_PROB ( type: esriFieldTypeDouble, alias: NUMBER_DEP_10_PERCENT_PROB )
• NUMBER_DEP_50_PERCENT_PROB ( type: esriFieldTypeDouble, alias: NUMBER_DEP_50_PERCENT_PROB )
• NUMBER_DEP_90_PERCENT_PROB ( type: esriFieldTypeDouble, alias: NUMBER_DEP_90_PERCENT_PROB )
• EXPECTED_NUMBER_OF_DEP ( type: esriFieldTypeDouble, alias: EXPECTED_NUMBER_OF_DEP )
• AG_ESTIM_10_PERCENT_PROB ( type: esriFieldTypeDouble, alias: AG_ESTIM_10_PERCENT_PROB )
• AG_ESTIM_50_PERCENT_PROB ( type: esriFieldTypeDouble, alias: AG_ESTIM_50_PERCENT_PROB )
• AG_ESTIM_90_PERCENT_PROB ( type: esriFieldTypeDouble, alias: AG_ESTIM_90_PERCENT_PROB )
• AG_MEAN_ESTIMATE ( type: esriFieldTypeDouble, alias: AG_MEAN_ESTIMATE )
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• AU_MEAN_ESTIMATE ( type: esriFieldTypeDouble, alias: AU_MEAN_ESTIMATE )
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• CO_ESTIM_50_PERCENT_PROB ( type: esriFieldTypeDouble, alias: CO_ESTIM_50_PERCENT_PROB )
• CO_ESTIM_90_PERCENT_PROB ( type: esriFieldTypeDouble, alias: CO_ESTIM_90_PERCENT_PROB )
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• CR_ESTIM_50_PERCENT_PROB ( type: esriFieldTypeDouble, alias: CR_ESTIM_50_PERCENT_PROB )
• CR_ESTIM_90_PERCENT_PROB ( type: esriFieldTypeDouble, alias: CR_ESTIM_90_PERCENT_PROB )
• CR_MEAN_ESTIMATE ( type: esriFieldTypeDouble, alias: CR_MEAN_ESTIMATE )
• CU_ESTIM_10_PERCENT_PROB ( type: esriFieldTypeDouble, alias: CU_ESTIM_10_PERCENT_PROB )
• CU_ESTIM_50_PERCENT_PROB ( type: esriFieldTypeDouble, alias: CU_ESTIM_50_PERCENT_PROB )
• CU_ESTIM_90_PERCENT_PROB ( type: esriFieldTypeDouble, alias: CU_ESTIM_90_PERCENT_PROB )
• CU_MEAN_ESTIMATE ( type: esriFieldTypeDouble, alias: CU_MEAN_ESTIMATE )
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• FE_ESTIM_50_PERCENT_PROB ( type: esriFieldTypeDouble, alias: FE_ESTIM_50_PERCENT_PROB )
• FE_ESTIM_90_PERCENT_PROB ( type: esriFieldTypeDouble, alias: FE_ESTIM_90_PERCENT_PROB )
• FE_MEAN_ESTIMATE ( type: esriFieldTypeDouble, alias: FE_MEAN_ESTIMATE )
• LI_ESTIM_10_PERCENT_PROB ( type: esriFieldTypeDouble, alias: LI_ESTIM_10_PERCENT_PROB )
• LI_ESTIM_50_PERCENT_PROB ( type: esriFieldTypeDouble, alias: LI_ESTIM_50_PERCENT_PROB )
• LI_ESTIM_90_PERCENT_PROB ( type: esriFieldTypeDouble, alias: LI_ESTIM_90_PERCENT_PROB )
• LI_MEAN_ESTIMATE ( type: esriFieldTypeDouble, alias: LI_MEAN_ESTIMATE )
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• MO_ESTIM_50_PERCENT_PROB ( type: esriFieldTypeDouble, alias: MO_ESTIM_50_PERCENT_PROB )
• MO_ESTIM_90_PERCENT_PROB ( type: esriFieldTypeDouble, alias: MO_ESTIM_90_PERCENT_PROB )
• MO_MEAN_ESTIMATE ( type: esriFieldTypeDouble, alias: MO_MEAN_ESTIMATE )
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• NI_ESTIM_50_PERCENT_PROB ( type: esriFieldTypeDouble, alias: NI_ESTIM_50_PERCENT_PROB )
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• NI_MEAN_ESTIMATE ( type: esriFieldTypeDouble, alias: NI_MEAN_ESTIMATE )
• PB_ESTIM_10_PERCENT_PROB ( type: esriFieldTypeDouble, alias: PB_ESTIM_10_PERCENT_PROB )
• PB_ESTIM_50_PERCENT_PROB ( type: esriFieldTypeDouble, alias: PB_ESTIM_50_PERCENT_PROB )
• PB_ESTIM_90_PERCENT_PROB ( type: esriFieldTypeDouble, alias: PB_ESTIM_90_PERCENT_PROB )
• PB_MEAN_ESTIMATE ( type: esriFieldTypeDouble, alias: PB_MEAN_ESTIMATE )
• PD_ESTIM_10_PERCENT_PROB ( type: esriFieldTypeDouble, alias: PD_ESTIM_10_PERCENT_PROB )
• PD_ESTIM_50_PERCENT_PROB ( type: esriFieldTypeDouble, alias: PD_ESTIM_50_PERCENT_PROB )
• PD_ESTIM_90_PERCENT_PROB ( type: esriFieldTypeDouble, alias: PD_ESTIM_90_PERCENT_PROB )
• PD_MEAN_ESTIMATE ( type: esriFieldTypeDouble, alias: PD_MEAN_ESTIMATE )
• PT_ESTIM_10_PERCENT_PROB ( type: esriFieldTypeDouble, alias: PT_ESTIM_10_PERCENT_PROB )
• PT_ESTIM_50_PERCENT_PROB ( type: esriFieldTypeDouble, alias: PT_ESTIM_50_PERCENT_PROB )
• PT_ESTIM_90_PERCENT_PROB ( type: esriFieldTypeDouble, alias: PT_ESTIM_90_PERCENT_PROB )
• PT_MEAN_ESTIMATE ( type: esriFieldTypeDouble, alias: PT_MEAN_ESTIMATE )
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• REE_ESTIM_50_PERCENT_PROB ( type: esriFieldTypeDouble, alias: REE_ESTIM_50_PERCENT_PROB )
• REE_ESTIM_90_PERCENT_PROB ( type: esriFieldTypeDouble, alias: REE_ESTIM_90_PERCENT_PROB )
• REE_MEAN_ESTIMATE ( type: esriFieldTypeDouble, alias: REE_MEAN_ESTIMATE )
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• SHAPE.AREA ( type: esriFieldTypeDouble, alias: SHAPE.AREA )
• SHAPE.LEN ( type: esriFieldTypeDouble, alias: SHAPE.LEN )

Layer: Reef PGE (8)

Parent Layer: Permissive areas for mineral deposits

Name: Reef PGE

Display Field: TRACTNAME

Type: Feature Layer

Geometry Type: esriGeometryPolygon

Description:

Copyright Text:

Default Visibility: true

MaxRecordCount: 1000

Supported Query Formats: JSON, geoJSON

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Supports Advanced Queries: true

Supports Statistics: true

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YMin: 7133916.4242
XMax: 622859.2748
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• NI_MEAN_ESTIMATE ( type: esriFieldTypeDouble, alias: NI_MEAN_ESTIMATE )
• PB_ESTIM_10_PERCENT_PROB ( type: esriFieldTypeDouble, alias: PB_ESTIM_10_PERCENT_PROB )
• PB_ESTIM_50_PERCENT_PROB ( type: esriFieldTypeDouble, alias: PB_ESTIM_50_PERCENT_PROB )
• PB_ESTIM_90_PERCENT_PROB ( type: esriFieldTypeDouble, alias: PB_ESTIM_90_PERCENT_PROB )
• PB_MEAN_ESTIMATE ( type: esriFieldTypeDouble, alias: PB_MEAN_ESTIMATE )
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• PT_ESTIM_90_PERCENT_PROB ( type: esriFieldTypeDouble, alias: PT_ESTIM_90_PERCENT_PROB )
• PT_MEAN_ESTIMATE ( type: esriFieldTypeDouble, alias: PT_MEAN_ESTIMATE )
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Layer: Synorogenic intrusive Ni-Cu (9)

Parent Layer: Permissive areas for mineral deposits

Name: Synorogenic intrusive Ni-Cu

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YMin: 6714151.7273
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• LI_ESTIM_90_PERCENT_PROB ( type: esriFieldTypeDouble, alias: LI_ESTIM_90_PERCENT_PROB )
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• PB_ESTIM_50_PERCENT_PROB ( type: esriFieldTypeDouble, alias: PB_ESTIM_50_PERCENT_PROB )
• PB_ESTIM_90_PERCENT_PROB ( type: esriFieldTypeDouble, alias: PB_ESTIM_90_PERCENT_PROB )
• PB_MEAN_ESTIMATE ( type: esriFieldTypeDouble, alias: PB_MEAN_ESTIMATE )
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• PD_ESTIM_50_PERCENT_PROB ( type: esriFieldTypeDouble, alias: PD_ESTIM_50_PERCENT_PROB )
• PD_ESTIM_90_PERCENT_PROB ( type: esriFieldTypeDouble, alias: PD_ESTIM_90_PERCENT_PROB )
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Layer: Komatiitic Ni-Cu (10)

Parent Layer: Permissive areas for mineral deposits

Name: Komatiitic Ni-Cu

Display Field: TRACTNAME

Type: Feature Layer

Geometry Type: esriGeometryPolygon

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YMin: 6925340.7685
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Spatial Reference: 102139  (3067)



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• PT_ESTIM_50_PERCENT_PROB ( type: esriFieldTypeDouble, alias: PT_ESTIM_50_PERCENT_PROB )
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Layer: Orogenic Au (11)

Parent Layer: Permissive areas for mineral deposits

Name: Orogenic Au

Display Field: TRACTNAME

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Geometry Type: esriGeometryPolygon

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Copyright Text:

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MaxRecordCount: 1000

Supported Query Formats: JSON, geoJSON

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YMin: 6697642.277
XMax: 729983.7464
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Spatial Reference: 102139  (3067)



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• TRACTNAME ( type: esriFieldTypeString, alias: TRACTNAME, length: 50 )
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• NUMBER_DEP_5_PERCENT_PROB ( type: esriFieldTypeDouble, alias: NUMBER_DEP_5_PERCENT_PROB )
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• NUMBER_DEP_90_PERCENT_PROB ( type: esriFieldTypeDouble, alias: NUMBER_DEP_90_PERCENT_PROB )
• EXPECTED_NUMBER_OF_DEP ( type: esriFieldTypeDouble, alias: EXPECTED_NUMBER_OF_DEP )
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• AG_ESTIM_90_PERCENT_PROB ( type: esriFieldTypeDouble, alias: AG_ESTIM_90_PERCENT_PROB )
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• LI_ESTIM_50_PERCENT_PROB ( type: esriFieldTypeDouble, alias: LI_ESTIM_50_PERCENT_PROB )
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• PB_ESTIM_50_PERCENT_PROB ( type: esriFieldTypeDouble, alias: PB_ESTIM_50_PERCENT_PROB )
• PB_ESTIM_90_PERCENT_PROB ( type: esriFieldTypeDouble, alias: PB_ESTIM_90_PERCENT_PROB )
• PB_MEAN_ESTIMATE ( type: esriFieldTypeDouble, alias: PB_MEAN_ESTIMATE )
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• PD_ESTIM_50_PERCENT_PROB ( type: esriFieldTypeDouble, alias: PD_ESTIM_50_PERCENT_PROB )
• PD_ESTIM_90_PERCENT_PROB ( type: esriFieldTypeDouble, alias: PD_ESTIM_90_PERCENT_PROB )
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• PT_ESTIM_50_PERCENT_PROB ( type: esriFieldTypeDouble, alias: PT_ESTIM_50_PERCENT_PROB )
• PT_ESTIM_90_PERCENT_PROB ( type: esriFieldTypeDouble, alias: PT_ESTIM_90_PERCENT_PROB )
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• REE_ESTIM_50_PERCENT_PROB ( type: esriFieldTypeDouble, alias: REE_ESTIM_50_PERCENT_PROB )
• REE_ESTIM_90_PERCENT_PROB ( type: esriFieldTypeDouble, alias: REE_ESTIM_90_PERCENT_PROB )
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• SHAPE.AREA ( type: esriFieldTypeDouble, alias: SHAPE.AREA )
• SHAPE.LEN ( type: esriFieldTypeDouble, alias: SHAPE.LEN )

Layer: Porphyry Cu (12)

Parent Layer: Permissive areas for mineral deposits

Name: Porphyry Cu

Display Field: TRACTNAME

Type: Feature Layer

Geometry Type: esriGeometryPolygon

Description:

Copyright Text:

Default Visibility: true

MaxRecordCount: 1000

Supported Query Formats: JSON, geoJSON

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Supports Statistics: true

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YMin: 6696323.4872
XMax: 611112.3319
YMax: 7578845.8601
Spatial Reference: 102139  (3067)



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Layer: Talvivaara-type Ni-Zn-Cu-Co (15)

Parent Layer: Permissive areas for mineral deposits

Name: Talvivaara-type Ni-Zn-Cu-Co

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Layer: Bedrock drilling (17)

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Layer: National drill core archive (19)

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Description: The centralised data storage facilities of the Geological Survey of Finland (GTK) contain altogether 28857 deep drill holes and boreholes to the bedrock. The drillings began in the 1920's and they still continue. The drilling data has been collected to databases since in 1989. The information of drillings which are older than this has been digitised when necessary. The deep drill holes of the bedrock are a spatial data in which the rock sample has been taken from a certain location by drilling. The data contains the information which is related to this sample site and to the core sample. The azimuth, dip and length of the drill hole vary according to the geological environment of the area. The drilling is performed based on the drilling plan drawn up by a geologist. The geologist supervises the drilling site and the realization of the plan and observes and records the information to the database. The following information is saved to the database: the information related to the positioning and location of the drilling, the information about the drilling organization, the information of the storage place of the core sample, the dip of the drill hole, the lithological information of the sample, cutting angle of the structures, the ore minerals and their appearance in the sample, mineral alteration, structure and texture, stratigraphy, core loss, analysed sample intervals and the geochemical analysis results, physical and petrophysical laboratory measurements, drill hole soundings and thin sections. In the deep drill holes the azimuth is determinated in degrees. In the full circle there are 360°. The cardinal azimuth is set to be North (000° or 360°). The hole azimuth is decided by the geologist assisted by geophysical background information and geophysicist. The objective is to get a representative sample of the bedrock units. Hole dip refers to the angle between a horizontal direction and a drilling. The hole dip in the databases of GTK is represented in degrees (°). The dip of the vertical hole is 90°. In horizontal hole the dip is 0°. In that case the drilling has been performed either in a mine or in a quarry or the sample is continuous gouge sample sawed from the bedrock. With respect to the horizontal surface the dip of the drill hole is negative upwards. For example, when a dip is -45° the hole has been drilled in underground mine in the angle of 45 degrees to upwards. The dip of the hole to be drilled is decided by the geologist assisted by geophysical background information and geophysicist. The dip can be presented also as grads. This unit has been used mainly by mining companies. The length of the drilled hole in the databases of the GTK is represented in metres (m). In addition to the drilling plan, the capacity of the drilling machine and the quality of the bedrock affect the length of the drill hole. In the shattered bedrock the hole can be jammed before the objective length. The lengths of the drilled holes vary from 1 metre to 2,5 kilometres. Petrophysical laboratory measurements have been made from the drill core since about the year 1965. Since the year 1963 petrological and ore analyses have been made from the selected core samples. The use of analyses was established and increased at the end of the 1980's with the development of analysis methods. During the present the geochemical analyses are an essential part of the drilling project and are done from all the bore holes, with few exceptions. The type samples representing the lithological units of the area and the sample intervals significant to exploration are selected for analyses. The deep drill holes have been made by the following programmes of the GTK: ore exploration, rock and mineral aggregate studies, natural stone investigations, bedrock mapping and urban mapping. In addition to these, the deep drill holes have been made among others by Outokumpu, Rautaruukki and Lapin Malmi and by the cooperation projects drawn by the universities. The data sets from different sources are not commensurable and information on the quality of the data is partly lacking. The data have been digitised when necessary and a part of the drilling information is still in the paper based archives.

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Layer: Ore boulders and showings (20)

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Description: The data set give information on the concentrations of ca. 25 elements in unaltered basal till. The samples have been taken, during 1983-1991, from the unaltered basal till (horizon C) below the groundwater table at a depth of ca. 1.5-2 m with a density of one sample per four square kilometres. The data set covers the whole of Finland with 82 062 samples in total. The samples are composite field samples: the recorded coordinates of the sample points in the data is a calculated centroid for three to five subsamples. The subsamples may also be mixed samples from a linear moraine (till). For the analysis, a fraction with grain size under 0.06 mm has been sieved from the samples. The aqua regia extractable concentrations of ca. 25 elements have been determined. The data has been published as a set of 1:400 000 maps. The number of elements published is 22-26 depending on map sheet.

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Layer: Cr, ppm, 511P (75)

Parent Layer: Regional till geochemistry

Name: Cr, ppm, 511P

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Description: The data set give information on the concentrations of ca. 25 elements in unaltered basal till. The samples have been taken, during 1983-1991, from the unaltered basal till (horizon C) below the groundwater table at a depth of ca. 1.5-2 m with a density of one sample per four square kilometres. The data set covers the whole of Finland with 82 062 samples in total. The samples are composite field samples: the recorded coordinates of the sample points in the data is a calculated centroid for three to five subsamples. The subsamples may also be mixed samples from a linear moraine (till). For the analysis, a fraction with grain size under 0.06 mm has been sieved from the samples. The aqua regia extractable concentrations of ca. 25 elements have been determined. The data has been published as a set of 1:400 000 maps. The number of elements published is 22-26 depending on map sheet.

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Layer: Rock geochemical data (105)

Parent Layer: Geochemistry

Sub Layers:
• Sample locations
• As, ppm
• Au, ppb
• Bi, ppm
• Co, ppm
• Cr, ppm
• Cu, ppm
• Fe, ppm
• Ni, ppm
• Pb, ppm
• Pd, ppb
• Te, ppb
• Zn, ppm
Name: Rock geochemical data

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Layer: Sample locations (106)

Parent Layer: Rock geochemical data

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Description: The Rock Geochemical Database of Finland data set describes the concentrations of major and trace elements in the bedrock of Finland. In all, 6544 samples were analysed for the total and partial concentrations of 57 elements using several different methods (XRF, ICP-MS, ICP-AES, GFAAS). The samples were taken during 1990-1995 with a mini-drill from rock that was as unaltered as possible. The sampling density varies between one sample per 30 km2 and one sample per 120 km2. The chemical analyses of the data were performed during 1992-2001. The reproducibility of the analytical results and the analytical drift were estimated using 375 duplicate sample pairs. The lowest reliable concentration was determined for each element and analytical method. In addition to the chemical concentrations, the database contains spatial data and several geological attributes for each sample. The data set and its manual were published in 2007 and they are available via the web site of the Geological Survey of Finland (GTK).

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Layer: As, ppm (107)

Parent Layer: Rock geochemical data

Name: As, ppm

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Description: The Rock Geochemical Database of Finland data set describes the concentrations of major and trace elements in the bedrock of Finland. In all, 6544 samples were analysed for the total and partial concentrations of 57 elements using several different methods (XRF, ICP-MS, ICP-AES, GFAAS). The samples were taken during 1990-1995 with a mini-drill from rock that was as unaltered as possible. The sampling density varies between one sample per 30 km2 and one sample per 120 km2. The chemical analyses of the data were performed during 1992-2001. The reproducibility of the analytical results and the analytical drift were estimated using 375 duplicate sample pairs. The lowest reliable concentration was determined for each element and analytical method. In addition to the chemical concentrations, the database contains spatial data and several geological attributes for each sample. The data set and its manual were published in 2007 and they are available via the web site of the Geological Survey of Finland (GTK).

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Layer: Au, ppb (108)

Parent Layer: Rock geochemical data

Name: Au, ppb

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Description: The Rock Geochemical Database of Finland data set describes the concentrations of major and trace elements in the bedrock of Finland. In all, 6544 samples were analysed for the total and partial concentrations of 57 elements using several different methods (XRF, ICP-MS, ICP-AES, GFAAS). The samples were taken during 1990-1995 with a mini-drill from rock that was as unaltered as possible. The sampling density varies between one sample per 30 km2 and one sample per 120 km2. The chemical analyses of the data were performed during 1992-2001. The reproducibility of the analytical results and the analytical drift were estimated using 375 duplicate sample pairs. The lowest reliable concentration was determined for each element and analytical method. In addition to the chemical concentrations, the database contains spatial data and several geological attributes for each sample. The data set and its manual were published in 2007 and they are available via the web site of the Geological Survey of Finland (GTK).

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Layer: Bi, ppm (109)

Parent Layer: Rock geochemical data

Name: Bi, ppm

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Description: The Rock Geochemical Database of Finland data set describes the concentrations of major and trace elements in the bedrock of Finland. In all, 6544 samples were analysed for the total and partial concentrations of 57 elements using several different methods (XRF, ICP-MS, ICP-AES, GFAAS). The samples were taken during 1990-1995 with a mini-drill from rock that was as unaltered as possible. The sampling density varies between one sample per 30 km2 and one sample per 120 km2. The chemical analyses of the data were performed during 1992-2001. The reproducibility of the analytical results and the analytical drift were estimated using 375 duplicate sample pairs. The lowest reliable concentration was determined for each element and analytical method. In addition to the chemical concentrations, the database contains spatial data and several geological attributes for each sample. The data set and its manual were published in 2007 and they are available via the web site of the Geological Survey of Finland (GTK).

Copyright Text:

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Layer: Co, ppm (110)

Parent Layer: Rock geochemical data

Name: Co, ppm

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Description: The Rock Geochemical Database of Finland data set describes the concentrations of major and trace elements in the bedrock of Finland. In all, 6544 samples were analysed for the total and partial concentrations of 57 elements using several different methods (XRF, ICP-MS, ICP-AES, GFAAS). The samples were taken during 1990-1995 with a mini-drill from rock that was as unaltered as possible. The sampling density varies between one sample per 30 km2 and one sample per 120 km2. The chemical analyses of the data were performed during 1992-2001. The reproducibility of the analytical results and the analytical drift were estimated using 375 duplicate sample pairs. The lowest reliable concentration was determined for each element and analytical method. In addition to the chemical concentrations, the database contains spatial data and several geological attributes for each sample. The data set and its manual were published in 2007 and they are available via the web site of the Geological Survey of Finland (GTK).

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Layer: Cr, ppm (111)

Parent Layer: Rock geochemical data

Name: Cr, ppm

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Description: The Rock Geochemical Database of Finland data set describes the concentrations of major and trace elements in the bedrock of Finland. In all, 6544 samples were analysed for the total and partial concentrations of 57 elements using several different methods (XRF, ICP-MS, ICP-AES, GFAAS). The samples were taken during 1990-1995 with a mini-drill from rock that was as unaltered as possible. The sampling density varies between one sample per 30 km2 and one sample per 120 km2. The chemical analyses of the data were performed during 1992-2001. The reproducibility of the analytical results and the analytical drift were estimated using 375 duplicate sample pairs. The lowest reliable concentration was determined for each element and analytical method. In addition to the chemical concentrations, the database contains spatial data and several geological attributes for each sample. The data set and its manual were published in 2007 and they are available via the web site of the Geological Survey of Finland (GTK).

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Layer: Cu, ppm (112)

Parent Layer: Rock geochemical data

Name: Cu, ppm

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Description: The Rock Geochemical Database of Finland data set describes the concentrations of major and trace elements in the bedrock of Finland. In all, 6544 samples were analysed for the total and partial concentrations of 57 elements using several different methods (XRF, ICP-MS, ICP-AES, GFAAS). The samples were taken during 1990-1995 with a mini-drill from rock that was as unaltered as possible. The sampling density varies between one sample per 30 km2 and one sample per 120 km2. The chemical analyses of the data were performed during 1992-2001. The reproducibility of the analytical results and the analytical drift were estimated using 375 duplicate sample pairs. The lowest reliable concentration was determined for each element and analytical method. In addition to the chemical concentrations, the database contains spatial data and several geological attributes for each sample. The data set and its manual were published in 2007 and they are available via the web site of the Geological Survey of Finland (GTK).

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Layer: Fe, ppm (113)

Parent Layer: Rock geochemical data

Name: Fe, ppm

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Description: The Rock Geochemical Database of Finland data set describes the concentrations of major and trace elements in the bedrock of Finland. In all, 6544 samples were analysed for the total and partial concentrations of 57 elements using several different methods (XRF, ICP-MS, ICP-AES, GFAAS). The samples were taken during 1990-1995 with a mini-drill from rock that was as unaltered as possible. The sampling density varies between one sample per 30 km2 and one sample per 120 km2. The chemical analyses of the data were performed during 1992-2001. The reproducibility of the analytical results and the analytical drift were estimated using 375 duplicate sample pairs. The lowest reliable concentration was determined for each element and analytical method. In addition to the chemical concentrations, the database contains spatial data and several geological attributes for each sample. The data set and its manual were published in 2007 and they are available via the web site of the Geological Survey of Finland (GTK).

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Layer: Ni, ppm (114)

Parent Layer: Rock geochemical data

Name: Ni, ppm

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Description: The Rock Geochemical Database of Finland data set describes the concentrations of major and trace elements in the bedrock of Finland. In all, 6544 samples were analysed for the total and partial concentrations of 57 elements using several different methods (XRF, ICP-MS, ICP-AES, GFAAS). The samples were taken during 1990-1995 with a mini-drill from rock that was as unaltered as possible. The sampling density varies between one sample per 30 km2 and one sample per 120 km2. The chemical analyses of the data were performed during 1992-2001. The reproducibility of the analytical results and the analytical drift were estimated using 375 duplicate sample pairs. The lowest reliable concentration was determined for each element and analytical method. In addition to the chemical concentrations, the database contains spatial data and several geological attributes for each sample. The data set and its manual were published in 2007 and they are available via the web site of the Geological Survey of Finland (GTK).

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Layer: Pb, ppm (115)

Parent Layer: Rock geochemical data

Name: Pb, ppm

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Description: The Rock Geochemical Database of Finland data set describes the concentrations of major and trace elements in the bedrock of Finland. In all, 6544 samples were analysed for the total and partial concentrations of 57 elements using several different methods (XRF, ICP-MS, ICP-AES, GFAAS). The samples were taken during 1990-1995 with a mini-drill from rock that was as unaltered as possible. The sampling density varies between one sample per 30 km2 and one sample per 120 km2. The chemical analyses of the data were performed during 1992-2001. The reproducibility of the analytical results and the analytical drift were estimated using 375 duplicate sample pairs. The lowest reliable concentration was determined for each element and analytical method. In addition to the chemical concentrations, the database contains spatial data and several geological attributes for each sample. The data set and its manual were published in 2007 and they are available via the web site of the Geological Survey of Finland (GTK).

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Layer: Pd, ppb (116)

Parent Layer: Rock geochemical data

Name: Pd, ppb

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Description: The Rock Geochemical Database of Finland data set describes the concentrations of major and trace elements in the bedrock of Finland. In all, 6544 samples were analysed for the total and partial concentrations of 57 elements using several different methods (XRF, ICP-MS, ICP-AES, GFAAS). The samples were taken during 1990-1995 with a mini-drill from rock that was as unaltered as possible. The sampling density varies between one sample per 30 km2 and one sample per 120 km2. The chemical analyses of the data were performed during 1992-2001. The reproducibility of the analytical results and the analytical drift were estimated using 375 duplicate sample pairs. The lowest reliable concentration was determined for each element and analytical method. In addition to the chemical concentrations, the database contains spatial data and several geological attributes for each sample. The data set and its manual were published in 2007 and they are available via the web site of the Geological Survey of Finland (GTK).

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Layer: Te, ppb (117)

Parent Layer: Rock geochemical data

Name: Te, ppb

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Description: The Rock Geochemical Database of Finland data set describes the concentrations of major and trace elements in the bedrock of Finland. In all, 6544 samples were analysed for the total and partial concentrations of 57 elements using several different methods (XRF, ICP-MS, ICP-AES, GFAAS). The samples were taken during 1990-1995 with a mini-drill from rock that was as unaltered as possible. The sampling density varies between one sample per 30 km2 and one sample per 120 km2. The chemical analyses of the data were performed during 1992-2001. The reproducibility of the analytical results and the analytical drift were estimated using 375 duplicate sample pairs. The lowest reliable concentration was determined for each element and analytical method. In addition to the chemical concentrations, the database contains spatial data and several geological attributes for each sample. The data set and its manual were published in 2007 and they are available via the web site of the Geological Survey of Finland (GTK).

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Layer: Zn, ppm (118)

Parent Layer: Rock geochemical data

Name: Zn, ppm

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Description: The Rock Geochemical Database of Finland data set describes the concentrations of major and trace elements in the bedrock of Finland. In all, 6544 samples were analysed for the total and partial concentrations of 57 elements using several different methods (XRF, ICP-MS, ICP-AES, GFAAS). The samples were taken during 1990-1995 with a mini-drill from rock that was as unaltered as possible. The sampling density varies between one sample per 30 km2 and one sample per 120 km2. The chemical analyses of the data were performed during 1992-2001. The reproducibility of the analytical results and the analytical drift were estimated using 375 duplicate sample pairs. The lowest reliable concentration was determined for each element and analytical method. In addition to the chemical concentrations, the database contains spatial data and several geological attributes for each sample. The data set and its manual were published in 2007 and they are available via the web site of the Geological Survey of Finland (GTK).

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Description: Vuosina 2003-2007 toimineen Outokumpu-GTK-tiedonsiirtoprojektin yhteydessä GTK:lle siirrettiin yhteensä 259452 Outokumpu Mining Oy:n hallussa ollutta kohteellista moreenigeokemialista näytteenottopistettä sekä näytteisiin liittyvää analyysitietoa. Aineisto on kerätty vuosina 1970-1998 Outokumpu Oy:n, Lapin Malmi Oy:n ja Rautaruukki Oy:n malminetsinnän toimesta. Geokemian aineisto siirrettiin käsittelemättömänä, koska vuonna 2006 tehdyssä alustavassa selvityksessä aineiston kunnostamistyö osoittautui liian mittavaksi, jotta se olisi voitu toteuttaa tiedonsiirtohankkeessa. Osa aineistosta luovutettiin Oracle-tietokannan tauluina, osa tiedostomuotoisina tietokantoina. GTK:ssa aineiston kunnostaminen alkoi vuonna 2009 ja päättyi 2011. Aineiston kunnostamisen yhteydessä purettiin Rautaruukki Oy:n Raahen laboratorion ascii-muotoiset analyysitiedot access-tietokantaan. Oracle-tauluissa olleet näytetiedot käytiin lävitse, korjattiin puuttellisia paikkatietoja ja poistettiin päällekkäisyydet. Näytetietoja täydennettiin tiedostomuotoisten tietokantojen tietojen perusteella. Viimeisessä vaiheessa yhdistettiin näyte- ja analyysitietoja laboratorion näytetunnuksien perusteella. Aineisto sisältää pääasiassa moreenigeokemiaa, mutta Rautaruukin luovuttama analyysiaineisto sisältää myös kalliogeokemiaa, vesigeokemiaa ja purosedimenttigeokemiaa. Näille ei tässä yhteydessä etsitty näytetietoja. Aineisto on jaettuna kahteen kokonaisuuteen. Access-kanta sisältää kaikki löydetyt analyysi- ja näytetiedot erillisinä taulukkoina. File geodatabase sisältää yhdistetyt analyysi- ja näytetiedot. Korjattuja tietoja ei ole palautettu Oracleen. Outokumpu Miningin luovuttamat Oracle-taulut löytyvät luovutuskunnossa GTK:n tietovarannosta.

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Description: Maaperän geokemiallista luonnetta ja alkuaineiden pitoisuusvaihteluja ilmentävää näyteaineistoa on kerätty Suomen alueelta vuodesta 1964 lähtien. Aineistoa käytetään kohteellisen luonnonvarojen kartoituksen tueksi sekä tieteellisen tutkimuksen, ympäristöhoidon ja muun yhteiskuntaelämän tarpeisiin. Näytemateriaali on pääasiassa moreeni- ja rapakallioainesta, mutta paikoin mukana on myös lajittuneita maalajitteita sekä myös kallio- että lohkarenäytteitä. Moreeninäytteistä on seulottu analyysiin alle 0,06 mm lajite. Rapakalliosta on vastaavasti seulottu 0,06 mm lajite tai jauhettu fraktio. Osa moreeninäytteistä on jauhettu kokonaan ilman esiseulontaa. Näytteistä on tehty monialkuainemääritykset kuningasvesi- tai typpihappouutoksista. Määritysmenetelmiä ovat olleet kvantometri (EKV), atomiabsorptiospektrofotometri (AAS ja GAAS) ja/tai plasma-atomiemissiospektrometri (ICP-AES). Näyteaineisto sisältää sijainti-, syvyys-, maalaji- ja lajitetiedot sekä kemialliset analyysitulokset. Aineistoa on kerätty pistemäisenä, linjamaisena ja verkkomaisena tutkimuksen ja kohteen luonteesta riippuen. Havaintoaineistoa ei päivitetä aineiston valmistumisen jälkeen. Näytteiden uusinta-analyysit on siirretty tietokantaan erillisinä näytteinä, joiden näytetunnus on sama, mutta loppuun on merkitty U-kirjain. Uusintanäytteen tiedoissa on myös alkuperäinen näytetunnus omassa kentässä.

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