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This data publication contains the 2024 release of the Global Heat Flow Database (GHFDB) together with quality-assessed dataset. It includes unique heat flow measurements (scattered data), filtered datasets (within 0–408 mW/m², corresponding to 0–3σ), and median values aggregated on a 0.5° × 0.5° grid, provided in CSV and KML formats. Gridded heat flow and standard deviation fields are available as Kriging-interpolated products at 0.5° resolution in WGS 1984 projection (CSV and NetCDF) as well as in North and South Pole Orthographic projections (50 × 50 km resolution). The code is a Jupyter Notebook for Ordinary Kriging interpolation of the heat flow data using the PyKrige library. All data and products are described in detail in Neumann et al. (2026). The data includes: Scattered data: • IHFC_2024_GHFDB_unique.csv: Comma Separated Values (csv) file containing unique heat flow values for every measurement point. • IHFC_2024_GHFDB_unique.kml: KML (Keyhole Markup Language) file containing unique heat flow values for every measurement point. • IHFC_2024_GHFDB_filtered_3_sigma.csv: Comma Separated Values (csv) file containing heat flow value filtered with 3σ (standard deviations from a mean) interval (derived from the data file IHFC_2024_GHFDB_unique.xlsx). • IHFC_2024_GHFDB_filtered_3_sigma.kml: KML (Keyhole Markup Language) file containing heat flow value filtered with 3σ (standard deviations from a mean) interval. • IHFC_2024_GHFDB_05x05_median_3_sigma.csv: Comma Separated Values (csv) file containing median heat flow value for each non-empty 0.5×0.5 degrees grid cell (derived from the data IHFC_2024_GHFDB_filtered_3_sigma.xlsx). • IHFC_2024_GHFDB_05x05_median_3_sigma.kml: KML (Keyhole Markup Language) file containing median heat flow value for each non-empty 0.5×0.5 degrees grid cell. Gridded data • IHFC_2024_GHFDB_05x05_WGS1984_Kriging.csv: Comma Separated Values (csv) file containing gridded heat flow data interpolated by Kriging at a resolution of 0.5×0.5 degrees (WGS 84 projection) • IHFC_2024_GHFDB_05x05_WGS1984_STD.csv: Comma Separated Values (csv) file containing gridded standard deviation data for interpolated heat flow data (WGS 84 projection) • IHFC_2024_GHFDB_05x05_WGS1984_Kriging.nc: NetCDF format file containing gridded heat flow data interpolated by Kriging at a resolution of 0.5×0.5 degrees (WGS 84 projection for Cartesian representation). • IHFC_2024_GHFDB_05x05_WGS1984_STD.nc: NetCDF file containing gridded standard deviation data for interpolated heat flow data (WGS 84 projection for Cartesian representation) • IHFC_2024_GHFDB_Ortho_N.csv: Comma Separated Values (csv) file containing gridded heat flow data interpolated by Kriging at a resolution of 50×50 km (North Pole Orthographic projection) • IHFC_2024_GHFDB_Ortho_N_STD.csv: Comma Separated Values (csv) file containing gridded standard deviation data for interpolated heat flow data (North Pole Orthographic projection) • IHFC_2024_GHFDB_Ortho_S.csv: Comma Separated Values (csv) file containing gridded heat flow data interpolated by Kriging at a resolution of 50×50 km (South Pole Orthographic projection) • IHFC_2024_GHFDB_Ortho_S_STD.csv: Comma Separated Values (csv) file containing gridded standard deviation data for interpolated heat flow data (South Pole Orthographic projection)
Since 1963, the International Heat Flow Commission (IHFC | www.ihfc-iugg.org) has been dedicated to providing standards for heat flow measurements and maintaining the Global Heat Flow Database (GHFDB) — a collection of heat flow data from around the world. The first quality framework for heat-flow-density data was proposed by Jessop et al. (1976), reflecting the state of knowledge, measurement techniques, and technical developments at that time. In 2019, the IHFC initiated a major revision of the GHFDB to develop an authenticated and quality-assessed database. This initiative involved multinational working groups and led to a comprehensive update of key parameters affecting heat-flow calculations. These updates included measurement methods for both temperature and thermal conductivity, as well as metadata structures. The new standard for a revised GHFDB structure was developed through a collaborative community approach and published in 2021 (Fuchs et al., 2021). This standard reflected changes in database technology and scientific documentation and served as a template for users submitting data to the GHFDB. It was further developed into the currently valid data and metadata standard in 2023, which also introduced an enhanced quality evaluation framework (Fuchs et al., 2023). The ongoing assessment work and the latest release of the GHFDB (Global Heat Flow Database Assessment Group et al., 2024), along with its frequent use, revealed the need for additional refinements. These refinements were particularly necessary in aspects related to metadata consistency, measurement techniques, and classification criteria. Consequently, further updates were implemented to improve the reliability and applicability of the dataset, ensuring a more robust evaluation of global heat-flow data. Here, we present the 2026.03 version of the GHFDB Data Template. The previous template introduced by Fuchs et al. (2023) has been improved based on the latest data ass6ssment process. The current version of the template incorporates the advancements in data collection methodologies, the IHFC quality evaluation framework, and metadata management, ensuring that data submitted to the GHFDB follows the IHFC standards for the GHFDB. A changelog is available and a summary of changes is also provided in the data descripton file (PDF). To promote open access, the template is also hosted on the official GitHub repository of the IHFC: https://github.com/ihfc-iugg. Users can download both the original version from 2023 and the revised templates. Version 2025.06 is also available in the previous-versions folder of this data publication. Maintaining the GHFDB Data Template in a version-controlled environment ensures transparency regarding changes over time and fosters a documentation style that sets high standards to support the reproducibility of research results. Moreover, it supports a smooth and fast integration of data from the research community into the Global Heat Flow Database of the IHFC.
Heat Flow Quality Analysis Toolbox hfqa_tool is a Python package containing tools for validating and evaluating the quality of heat flow data. It is designed for researchers and professionals. hfqa_tool simplifies heat flow data analysis by providing standardized and reproducible quality checks. This is developed in compliance with the paper by Fuchs et al. (2023) titled "Quality-assurance of heat-flow data: The new structure and evaluation scheme of the IHFC Global Heat Flow Database," published in Tectonophysics 863: 229976. Also revised for the newer release 2024. There are mainly 2 functions defined in this tool with description as follows: vocabulary_check(): This set of code has been developed to check whether all the values entered in a Heatflow database adhere to a controlled vocabulary and proper structure described in the aforementioned scientific paper. It generates an error message for each entry where the value entered is out of bounds and does not meet the assigned criteria. The code also enables checking the vocabulary for multiple values entered in a single column for a particular Heatflow data entry. It's a recommended prerequisite before calculating 'Quality Scores' for a given Heatflow dataset. quality_scores(): This code has been developed to assess the quality of the Heatflow database in terms of U-score (Uncertainty quantification), M-Score (Methodological quality), and P-Flags (Perturbation effects) adhering to the data structure described in the aforementioned scientific paper.
In diesem Bericht wird die durch das GFZ Potsdam am 18. Juli 2024 durchgeführte bohrlochgeophysikalische Messung in der Bohrung Gt P 14a/23 in Potsdam (Brandenburg) dokumentiert. Die Messung wurde mit dem Ziel der Gewinnung hochaufgelöster und ungestörter Temperatur-Tiefen-Profile durchgeführt. Die Sidetrack-Bohrung der Hauptbohrung Gt P 14 wurde im März 2023 abgeteuft. Anschließend erfolgten Testarbeiten im Mai desselben Jahres. Bis zur Durchführung dieser Messungen erfolgten keine weiteren Aktivitäten in der Bohrung. Die Stillstandszeit (shut-in time) beträgt mind. 14 Monaten für die oberen 1.100 m, weshalb keine thermische Beeinflussung der Temperaturen durch den Bohrprozess mehr erwartet wird. In der Bohrung Gt P 14a/22 wurde bei 1039,9 m Teufe eine Temperatur von 46,07 °C gemessen, welches einem mittleren Temperaturgradienten von 35,6 °C/ km entspricht.
In diesem Bericht wird die durch das GFZ Potsdam am 9. September 2020 durchgeführte bohrlochgeophysikalische Messung in der Bohrungen Ug Wsbg 10/76 in Wesenberg (Mecklenburg-Vorpommern) dokumentiert. Die Messung wurde mit dem Ziel der Gewinnung eines hochaufgelösten und ungestörten Temperatur-Tiefen-Profils durchgeführt. Die Untergrundspeicherbohrung wurde 1976 am Salzstock Wesenberg abgeteuft und lange als Sole-Verpressbohrung genutzt. Die Stillstandszeit nach letzter Nutzung liegt bei mind. 44 Monaten, weshalb von hydraulisch ungestörten Gebirgstemperaturen ausgegangen wird. In der Bohrung Ug Wsbg 10/76 wurde bei 1784,3 m Teufe eine Temperatur von 72.70 °C ermittelt, welches einem mittleren Temperaturgradienten von 36,0 °C/ km entspricht.
In diesem Bericht werden die durch das GFZ Potsdam am 29. und 30. November 2023 durchgeführte bohrlochgeophysikalische Messungen in den Bohrungen Gt Khn 1/88 und Gt Khn 2/87 in Karlshagen (Mecklenburg-Vorpommern) dokumentiert. Die Messungen wurden mit dem Ziel der Gewinnung hochaufgelöster und ungestörter Temperatur-Tiefen-Profile durchgeführt. Die Stillstandszeiten seit Erstellung liegen bei mehreren Jahrzehnten; jene seit letzter Befahrung bei fünfzehn Jahren, weshalb von ungestörten Gebirgstemperaturen ausgegangen werden kann. In der Bohrung Gt Khn 2/87 wurde bei 1786,5 m Teufe eine Temperatur von 57,8 °C, welches einem mittleren Temperaturgradienten von 27,8 °C/km entspricht, gemessen. Die Bohrung Gt Khn 1/88 konnte bis zu einer Teufe von 325,1 m befahren werden, die gemessene Temperatur betrug 16,2 °C, der entsprechende mittlere geothermische Gradient beträgt ca. 23,6 °C/km. This report documents the borehole geophysical logging performed by GFZ Potsdam in the Gt Khn 1/88 and Gt Khn 2/87 boreholes in Karlshagen (Mecklenburg-Western Pomerania) on the 29th and 30th of November 2023. The measurements were conducted to achieve high-resolution and undisturbed temperature-depth pro-files. The shut-in times since the boreholes were drilled are several decades; the shut-in time since last activities in the boreholes are in the order of 15 years. There-fore, undisturbed formation temperatures can be expected in the boreholes. In the Gt Khn 2/87 borehole, a temperature of 57.8 °C was measured at a depth of 1786.5 m, which corresponds to an average temperature gradient of 27.8 °C/km. The Gt Khn 1/88 borehole could be logged to a depth of 325.1 m and the measured temperature at this depth was 16.2 °C, corresponding to an average geothermal gradient of approx. 23.6 °C/km.
This report summarizes the measurements carried out by the GFZ Potsdam on the boreholes Gt S 6/17 and Gt S 7/20 in Schwerin (Mecklenburg-Western Pomerania). The first part of the report describes the borehole measurements of the unperturbed temperature profiles. The second part describes the compilation of the thermal-hydraulic rock properties (thermal conductivity, porosity, permeability, density, etc.) measured on drill-core material. The shut-in time since the drilling is around 4 years for Gt S 6/17 and around 21 months for Gt S 7/20. Hence, unperturbed borehole temperatures are assumed at the time of temperature logging.
Within the H2020 project DEEPEGS, pressure and temperature gauges were installed behind production casing of well RN-15/DEEPEGS/IDDP-2. Here, we publish the available data gathered from cementing the production casing in 2016 until the end of the DEEPEGS project in 2020. 8 thermocouples were installed behind casing at 329.3 m (TC8), 629.3 m (TC7), 929.3 m (TC6), 1529.3 m (TC5), 1829.3 m (TC4), 2129.3 m (TC3), 2329.3 m (TC2) and 2629.3 m (TC1) depths. In addition, a pressure and temperature gauge was installed at 1229.3 m depths (ERE p/T). All depth are measured depth (MD) below ground level. During installation TC3 was damaged. During cementation, all other TCs as well as the ERE gauge were operating. After the end of drilling, subsequently all TCs except TCs 7 & 8 failed. Until April 2020, data can only be reported for the two remaining thermocouples 7 & 8. Before publication, data was manually cleaned for obvious erroneous readings. Therefore, gaps in the data are inevitable and the readings are not fully continuous.
KTB Borehole Measurements Data Composite Logs Extensive borehole measurements were performed during the active drilling phase of the KTB pilot and main hole. The data report STR 21/03 KTB Borehole logging data contains the full description of the logging data given here. Please read it thoroughly to avoid inappropriate or wrong use of the data. The KTB borehole measurement data files contain the final processed versions of logging data from the two KTB boreholes: • KTB-Oberpfalz VB (KTB Vorbohrung/Pilot Hole or KTB-VB) • KTB-Oberpfalz HB (KTB Hauptbohrung/Main Hole or KTB-HB). Here only the acronyms KTB-VB and KTB-HB are used. In total there are 145 data files from the KTB-VB and 239 data files from the KTB-HB. All logs were run in open hole unless noted otherwise (see the file header). The maximum logging depth was 4001 m in the KTB-VB and 9085 m in the KTB-HB. The Composite Log Files comprise data from these measurements/logs: • Reference total GR • Natural Gamma Spectrum (NGS) • Resistivity (DLL, DIL, MSFL, ARI) • Density (LDT, FDC) • Neutron Porosity (CNL) • Sonic (SONIC, STC) There is no sonic waveform data available. All Composite Logs are depth corrected to the reference GR of each borehole. The data are provided in ASCII format. Detailed descriptions are provided in the associated data report (STR 21/03, Kueck et al., 2021) and the KTB Borehole Measurements Catalog. Acknkowledgements: The GFZ German Research Centre for Geosciences, Potsdam, Germany, as successor of the KTB Project Management provides the logging data, which were obtained under grants RG8604, RG8803 and RG 9001 of the Federal Ministry of Research and Technology of Germany.
This data publication contains the compilation of global heat-flow data by the International Heat Flow Commission (IHFC; http://www.ihfc-iugg.org/) of the International Association of Seismology and Physics of the Earth's Interior (IASPEI). The presented data release 2021 contains data generated between 1939 and 2021 and constitutes an updated and extended version of the 2012 IHFC database release (IHFC 2012; later re-published as PANGAEA release: Global Heat Flow Compilation Group, 2013). The 2021 release contains 74,548 heat-flow data from 1,403 publications. 55% of the reported heat-flow values are from the continental domain (n ~ 40,870), while the remaining 45% are located in the oceanic domain (n ~ 33,678). The data are provided in csv and Excel formats. Compared to earlier compilations, which followed the structure defined by Jessop et al. (1976), the new data release was transformed to the recently redefined structure for reporting and storing heat-flow data in the Global Heat Flow Database (Fuchs et al., 2021). Therefore, the notation and structure of the database was adopted, transforming the database field entries defined after Jessop et al. (1976) to the new field structure. Old code notations are not continued and the dataset was cleaned for entries without reporting any heat-flow value. Although successfully transformed, this release marks an intermediate step as the majority of the newly defined database fields have not been filled yet. Filling these fields, checking the existing entries and assessing the quality of each entry are the aim of the upcoming Global Heat Flow Data Assessment Project, for which this data set provides the basis. Consequently, we kindly ask the user to take notice that the current release still suffers similar problems as previously published compilations in terms of data heterogeneity, documentation and quality.
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