Dataset Open Access
Pospiech, Solveig;
Middleton, Maarit
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<foaf:name>Pospiech, Solveig</foaf:name>
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<dct:title>Data publication: Elemental data from transpired fluid from Norway spruce needles of the Horizon 2020 project NEXT</dct:title>
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<dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#gYear">2026</dct:issued>
<dcat:keyword>Norway spruce</dcat:keyword>
<dcat:keyword>mineral exploration</dcat:keyword>
<dcat:keyword>Finland</dcat:keyword>
<dcat:keyword>transpired fluid</dcat:keyword>
<dcat:keyword>Gold</dcat:keyword>
<dcat:keyword>ore geology</dcat:keyword>
<dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#date">2026-01-07</dct:issued>
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<dct:description><p><strong>1. Overview</strong></p> <p>This repository contains the **final, cleaned chemistry data** that were produced from the 2019 Raja field campaign of the Horizon 2020 Project NEXT.<br> The data combine:</p> <ul> <li>Norway spruce needle transpired fluids concentrations for a set of selected elements.</li> <li>Corresponding soil‑till depth, point location, lithology and basic tree information.</li> <li>Element‑specific relative‑standard‑deviation (RSD) uncertainties that were calculated from laboratory‑derived uncertainty parameters.</li> </ul> <p>All files are provided in **CSV** format (UTF‑8, `,` separator) and/or the R programming language binary format RData.</p> <p><br> <strong>2. Column description</strong></p> <p>**Field Descriptions for Repository Metadata**</p> <p>#### **Point Identification &amp; Metadata**<br> 1. **PointID** &ndash; Unique identifier for each sampling point in the dataset (e.g., `NEXT-2019-193`).<br> 2. **till_depth** &ndash; Depth of the till layer (in meters) at the sampling location.<br> 3. **ID_num** &ndash; Numeric identifier for the point (e.g., `193`).<br> 4. **grainsize_2mm_pct** &ndash; Percentage of grain size &gt;2mm in the soil sample (proxy for rock fragments or coarse material).<br> 5. **OM_thickness** &ndash; Thickness of organic matter (cm) in the soil profile.<br> 6. **Soilwetness_by_photo** &ndash; Soil wetness category inferred from field photos (e.g., `mesic` = moist, `sub-xeric` = moderately dry).<br> 7. **Soilwetness_cat** &ndash; Numeric ranking of soil wetness (likely 1&ndash;7, with `1` = driest, `7` = wettest).<br> 8. **notes_by_photos** &ndash; Qualitative observations from site photos (e.g., &quot;paludified areas nearby,&quot; &quot;boulders present&quot;).</p> <p>#### **Geophysical &amp; Electrical Properties**<br> 9. **conductivity_ph-acid** &ndash; Electrical conductivity (EC) measured after acidification (mS/m).<br> 10. **conductivity_ph-initial** &ndash; Initial EC of the soil sample (mS/m).<br> 11. **conductivity_pit** &ndash; EC measured in the field pit (mS/m).<br> 12. **conductivity** &ndash; Conductivity averaged or processed for analysis (units vary).<br> 13. **dielectric permittivity_pit** &ndash; Dielectric constant measured in the pit (proxy for soil moisture).<br> 14. **dielectric permittivity** &ndash; Processed or averaged dielectric permittivity value.<br> 15. **pH_initial** &ndash; Initial pH of the soil sample.<br> 16. **pH_with acid** &ndash; pH after acidification (indicates buffer capacity).<br> 17. **pore water conductivity** &ndash; EC of extracted pore water (mS/m).</p> <p>#### **Geospatial &amp; Environmental Context**<br> 18. **VTEM, TMI, APR** &ndash; Geophysical survey metrics (VTEM = Vertical Electromagnetic, TMI = Total Magnetic Intensity, APR = Airborne Radiometrics).<br> 19. **Soilwetness** &ndash; Categorical soil wetness classification (e.g., `mesic`, `sub-xeric`).<br> 20. **Soiltype** &ndash; Predominant soil type (e.g., `mineral soil`, `peat`).<br> 21. **Naturetype** &ndash; Ecological classification (e.g., `Boreaaliset luonnonmets&auml;t` = &quot;Boreal natural forests&quot;).<br> 22. **TMI_class** &ndash; Categorization of Total Magnetic Intensity (e.g., `low`, `middle`, `high`).<br> 23. **Lithology** &ndash; Original rock type classification (e.g., `Calcsilicate rocks`, `Mafic rocks`).<br> 24. **Lithology_updated** &ndash; Updated lithological classification (refining earlier interpretations).<br> 25. **Lithology_updated_Sol** &ndash; Lithology-specific to soil horizons (e.g., `Mafic rocks + quartzite`).<br> 26. **Mineralization** &ndash; Qualitative assessment of mineralized zones (e.g., `barren`, `potential`, `min`).<br> 27. **Deposit** &ndash; Type of geological deposit (e.g., `Till`, `hardpan layer`).<br> 28. **TMI_cat, VTEM_cat, APPRES_cat** &ndash; Categorized geophysical survey results (e.g., `high` intensity).<br> 29. **vegetation_class_EFTAS** &ndash; Vegetation classification (e.g., `mesic heath forest`).<br> 30. **i.ID_num** &ndash; Redundant numeric ID (same as `ID_num`).<br> 31. **x, y** &ndash; Cartesian coordinates for the sampling point.<br> 32. **Fotos** &ndash; Reference to associated field photos (e.g., `104-0905`).</p> <p>#### **Site &amp; Sampling Details**<br> 33. **GeneralSiteDescription** &ndash; Textual description of terrain (e.g., &quot;flat, paludified area starts 1m below&quot;).<br> 34. **ForestType** &ndash; Dominant forest type (e.g., `VMT` = &quot;V&auml;limets&auml;&quot; [forest type code]).<br> 35. **Soil_paludification** &ndash; Degree of peatland/wetland influence on soil (e.g., `not paludified`).<br> 36. **Soil_nutrient_status** &ndash; Nutrient availability assessment (e.g., `normal`).<br> 37. **Observations2019** &ndash; Anomalies or notes from 2019 fieldwork (e.g., &quot;eggs of gnomes in upper podsol layer&quot;).<br> 38. **SedimentType** &ndash; Type of sediment observed (e.g., `Till`, `Sand`).<br> 39. **SedimentGenesis** &ndash; Origin of sediment (e.g., `glacial`, `alluvial`).<br> 40. **Pointtype** &ndash; Classification of sampling point (e.g., `replicate`).<br> 41. **TMI_intensity, VTEM_intensity, APPRES_intensity** &ndash; Quantitative geophysical survey intensities.<br> 42. **GPS-Easting, GPS-Northing** &ndash; Precise GPS coordinates for the point.<br> 43. **SampleID** &ndash; Unique identifier for lab samples (e.g., `TF-NEXT-2019-193-NrS-tf-0A`).<br> 44. **Date_full** &ndash; Timestamp of sample collection/analysis.</p> <p>#### **Geochemical Data**<br> 45. **Al, B, Ba, Bi, ... Zn** &ndash; Concentrations of elements (likely in **ppm/mg/g**) measured via lab analysis (e.g., ICP-MS).<br> &nbsp; &nbsp;*Note: These columns represent a full suite of geochemical elements (e.g., Aluminum, Barium, Lead, Zinc) critical for mineral exploration, environmental studies, or soil health assessments.*</p> <p>---<br> ### **Key Notes for Repository Users**<br> - **Units**: Conductivity (mS/m), pH (unitless), dielectric permittivity (dimensionless), GPS coordinates (meters, local system).<br> - **Categorical Fields**: Wetness, lithology, and mineralization use standardized codes (e.g., `mesic` vs. `xeric`).<br> - **Geophysical Data**: VTEM/TMI/APR are airborne survey metrics linked to subsurface mineralization.<br> - **Geochemical Data**: Elemental concentrations are essential for understanding soil fertility, contamination, or ore potential.</p> <p>---<br> ### **Suggested Use Cases**<br> - **Mineral Exploration**: Cross-reference `Mineralization` + `TMI_cat` with elemental data (e.g., high `Fe`, `Cr` for mafic rocks).<br> - **Soil Science**: Analyze `Soilwetness` vs. `dielectric permittivity` to model moisture regimes.<br> - **Ecological Studies**: Correlate `vegetation_class_EFTAS` with `Soil_nutrient_status`.</p></dct:description>
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