This archive contains four files with compositional data (mineralogical and geochemical) used to estimate thermal conductivity and heat production in New Zealand basement terranes (Kirkby et al., 2024). HPR_source_data.csv - contains K, Th, and U concentrations and calculated heat production rates. Longitude - longitude (New Zealand Geodetic Datum)Latitude - latitude(New Zealand Geodetic Datum)K_wtpct - K concentration in weight percentTh_ppm - Th concentration in ppmU_ppm - U concentration in ppmHeat_production_uW/m3 - heat production calculated from K, Th and U concentrations, in microWatts per meter cubedTerrane - name of basement terrane that sample has been assigned toSource - source of data, either PetLAB (Strong et al. 2016), PMAP (Turnbull ref) or separate compilation for this studyReference - Reference citation for data as listed in PetLAB/PMAP or added for this study TC_from_majors_PMAP.csv - contains thermal conductivity estimated from major element geochemistry (Kirkby et al., 2024) using method of, Jennings et al. (2019).Columns are as follows: Collection - collection that sample is contained in within the PetLAB database (Strong et al., 2016)Collection_Number - sample number within the collection aboveSample_ID - unique sample ID in PetLABAnalysis_ID - unique analysis ID in PetLABLongitude - longitude (New Zealand Geodetic Datum)Latitude - latitude(New Zealand Geodetic Datum)**_wtpct - major oxide concentration in weight percent (normalised to non-volatile component)Terrane - name of basement terrane that sample has been assigned toAnalysis_Method - analysis method for major oxide concentrationsThermal_conductivity_pred - calculated estimate of thermal conductivity based on major oxide composition, W/mKBib_ref - analysis source reference, direct copy of Bib_ref field in PetLABReference - analysis source reference, direct copy of Reference field in PetLAB TC_from_modal_mineralogy.csv - contains thermal conductivity estimated from modal mineralogy (Kirkby et al., 2024).Columns are as follows: Longitude - longitude (New Zealand Geodetic Datum)Latitude - latitude(New Zealand Geodetic Datum)Analysis_ID - unique analysis ID in PetLABCollection - collection that sample is contained in within the PetLAB database (Strong et al., 2016)Collection_ID - sample number within the collection aboveSubsample - in the case of thermal conductivity, sometimes two samples were measured. This column distinguishes the two measurementsMineralogy_method - method of determining mineralogy, either point count or QEMSCANQuartz - percentage of quartz in sampleOlivine - percentage of olivine in samplePyroxene - percentage of pyroxene in sampleOther - percentage of other minerals in sampleThermal_conductivity_grain_pred - estimated thermal conductivity (W/mK) from mineralogy (Kirkby et al, 2024), W/mKThermal_conductivity_dry_measured - measured dry thermal conductivity (W/mK) for samples reported by Sanders et al (2024), W/mKPorosity_measured_pct - measured porosity (percent) for samples reported by Sanders et al (2024)Thermal_conductivity_grain_measured - grain thermal conductivity (W/mK) calculated from measured dry thermal conductivity and porosityTerrane - name of basement terrane that sample has been assigned toBib_ref - analysis source reference, direct copy of Bib_ref field in PetLABReference - analysis source reference, direct copy of Reference field in PetLAB TC_from_normative_mineralogy.csv Longitude - longitude (New Zealand Geodetic Datum)Latitude - latitude(New Zealand Geodetic Datum)Analysis_ID - unique analysis ID in PetLABCollection - collection that sample is contained in within the PetLAB database (Strong et al., 2016)Collection_ID - sample number within the collection aboveMineralogy_method - method of determining mineralogy, either Mesonorm or CIPWnormhb (CIPW norm with hornblende)Quartz - percentage of quartz in sampleOlivine - percentage of olivine in samplePyroxene - percentage of pyroxene in sampleOther - percentage of other minerals in sampleThermal_conductivity_grain_pred - estimated thermal conductivity (W/mK) from mineralogy (Kirkby et al, 2024)Thermal_conductivity_dry_measured - measured dry thermal conductivity (W/mK) for samples reported by Sagar et al (2022)Porosity_measured_pct - measured porosity (percent) for samples reported by Sagar et al (2024)Thermal_conductivity_grain_measured - grain thermal conductivity (W/mK) calculated from measured dry thermal conductivity and porosityTerrane - name of basement terrane that sample has been assigned toBib_ref - analysis source reference, direct copy of Bib_ref field in PetLABReference - analysis source reference, direct copy of Reference field in PetLAB tc_by_terrane.csv Contains thermal conductivity, standard deviation, and standard error of thermal conductivity estimates by terrane as shown in Figure 7 of Kirkby et al (2024) hpr_by_terrane.csv Contains thermal conductivity, standard deviation, and standard error of thermal conductivity estimates by terrane as shown in Figure 7 of Kirkby et al (2024). References Jennings, S., Hasterok, D., & Payne, J. (2019). A new compositionally based thermal conductivity model for plutonic rocks. Geophysical Journal International, 219(2), 1377-1394. https://doi.org/10.1093/gji/ggz376Kirkby, A., N. Mortimer, R. Funnell, M. Sagar, A. Seward, K. Faure and F. Sanders (2024). Composition-based estimates of the thermal properties of New Zealand basement rocks, New Zealand Journal of Geology and Geophysics.Sagar, M. W., Funnell, R., Randell, K., Faure, K., Seward, A., Sanders, F., & Stratford, W. R. (2022). Physical properties of Te Riu-a-Māui / Zealandia crustal rocks: Reconnaissance study and future research. (GNS Science Internal Report 2022/05. Sanders, F., Seward, A., Sagar, M., & Faure, K. (2024). Thermal Properties of Zealandia Basement Rocks: results of Thermal Conductivity Scanner measurements 2023. Lower Hutt. (GNS Science Report. Strong, D. T., Turnbull, R. E., Haubrock, S., & Mortimer, N. (2016). Petlab: New Zealand’s national rock catalogue and geoanalytical database. New Zealand Journal of Geology and Geophysics, 59(3), 475-481. https://doi.org/10.1080/00288306.2016.1157086