Find research datasets worth reusing

3D resistivity structure of the Los Humeros geothermal field.

The dataset is the final three-dimensional resistivity model of the high temperature geothermal field Los Humeros, in Mexico. The model is described in deliverable 5.2 of the GEMex Project, funded by the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 727550, and by the Mexican Energy Sustainability Fund CONACYT-SENER, Project 2015-04-268074.

3D density models of the Los Humeros and Acoculco geothermal fields, Mexico.

The GEMex project addresses different challenges in the development of Enhanced Geothermal Systems (EGS) and Superhot Geothermal Systems (SHGS) in the Trans-Mexican Volcanic Belt. Although they are located in similar tectonic settings, the geothermal conditions in Acoculco and Los Humeros differ and they can be categorized as an EGS and a SHGS system, respectively. The Los Humeros field is currently under conventional exploitation. North of the current production area, temperatures higher than 380°C are expected. The Acoculco site presents temperatures >300°C at a depth of 2 km, but a reservoir has not been identified. The main goal of this work is to visualize and characterize the reservoir conditions using gravity data. To accomplish this, we processed data from a total of 344 gravity stations at Los Humeros and 84 stations at Acoculco. The datasets contain the 3D density model of the Los Humeros and Acoculco geothermal fields as density contrasts values in g/cm³. The background density is 2.67 g/cm³.

opencc-by-4.0Feb 2022View details →

Geothermal Surface Manifestation photographic dataset

This is a zip file of Geothermal Surface Manifestation (GSM) photographic dataset. It contains 5,000 images, 500 images each type of eight types of GSMs. The eight types of GSMs are warm spring, hot spring, geyser, fumarole, mud pot, hydrothermal alteration, crater lake, and none GSM. These GSM images are used for training and testing a GoogLeNet model to perform recognition of GSMs. The overall accuracy of this model reaches about 90%. It includes eight folders after unzipping: 1.WS-Warm spring,  2.HS-Hot spring,  3.FO-Fountain,  4.FU-Fumarole,  5.MP-Mud pot,  6.HA-Hydrothermal alteration,  7.CL-Crater lake, 8.NG-No geothermal It is a benchmark dataset for a manuscript titled "Recognition of surface geothermal manifestations: a comparison of machine learning and deep learning" .

opencc-by-4.0May 2024View details →

Geothermal heat source estimations through ice flow modelling at Mýrdalsjökull, Iceland - Datasets

This repository contains data used in the study "Geothermal heat source estimations through ice flow modelling at Mýrdalsjökull, Iceland", to be published in The Cryosphere. A detailed reference will be added after publication. Details on processing of the data and the creation of the simulated data can be found in the aforementioned publication. Data Specifications: <ul> <li>Cartographic projection: ISN93 / Lambert 1993 (EPSG:3057, <a href="http://https/epsg.io/3057">https://epsg.io/3057</a>)</li> <li>Origin of Elevation: meters above GRS80 ellipsoid (WGS84)</li> <li>Raster data format: GeoTIFF</li> <li>Pléiades dataset includes only DEMs because the Pléiades ortho imagery is for licensed use only. Please contact the authors for further information on this.</li> </ul> File descriptions: <ul> <li>bedrock_Magnusson_etal_2021.tif: contains bedrock data published by Magnússon et al. 2021 for the simulation domain used in the paper. See reference below.</li> <li>surface_27092016_pleiades.tif: contains glacier surface data from September 27th, 2016 which is used as a starting geometry for the simulations described in the paper. This data is based on Pléiades satellite images.</li> <li>surface_01092017_pleiades.tif: contains glacier surface data from September 1st, 2017 which is used as a reference target geometry for the simulations described in the paper. This data is based on Pléiades satellite images.</li> <li>HM_run04.tif: contains the best fitting simulation based surface which was compared to surface_01092017_pleiades.tif in the paper.</li> <li>HM_run04_hillshade.png: a simple hillshade image for preview purposes.</li> </ul>

opencc-by-4.0Jul 2021View details →

Indicative distribution map for Ecosystem Functional Group F2.9 Geothermal pools and wetlands

This archive contains indicative distribution maps and profiles for F2.9 Geothermal pools and wetlands, a ecosystem functional group (EFG, level 3) of the <a href="https://global-ecosystems.org/">IUCN Global Ecosystem Typology</a> (v2.0). Please refer to Keith et al. (2020) for details. The descriptive profiles provide brief summaries of key ecological traits and processes, maps are indicative of global distribution patterns, and are not intended to represent fine-scale patterns. The maps show areas of the world containing major (value of 1, coloured red) or minor occurrences (value of 2, coloured yellow) of each ecosystem functional group. Minor occurrences are areas where an ecosystem functional group is scattered in patches within matrices of other ecosystem functional groups or where they occur in substantial areas, but only within a segment of a larger region. Given bounds of resolution and accuracy of source data, the maps should be used to query which EFG are likely to occur within areas, rather than which occur at particular point locations. Detailed methods and references for the maps are included in the profile (xml format).

opencc-by-4.0Feb 2023View details →

Silica solubility and dissolution kinetics at high saline geothermal conditions

This dataset contains solubility data for silica as a function of time, temperature and salinity. The dataset supports Chapter 2 in the deliverable “Report on mineral solubility and precipitation at high salinities, DOI: https://doi.org/10.48440/gfz.4.8.2023.001 from the H2020 project REFLECT. The silica material used as solid substrate for the dissolution studies was pro analysis sea sand (purified by acid washing and calcinated for analysis) from Merck. The sand grain size (125-250 µm) included in the experiments was obtained by sieving the material. The sieved powder was washed with tap water to remove fine grains from the samples, and dried prior to experiments. The BET surface area of the sand was measured to 0.69 m2/g and the weighted mean particle size distribution (PSD) was 118 µm. The crystallographic structure was determined by X-ray diffraction analysis (XRD) and this analysis showed that the sample contained mainly low-quartz (minimum 95% w/w) with a few unidentified impurities. SEM/EDS maps of the silica powder showed essentially pure silica with minor Al impurity. Some grains or regions are enriched in Al and K, suggesting some aluminium silicate. Some minor spots rich in Ti, Fe and Cr were also detected. The experiments conducted to study silica solubility at equilibrium conditions were performed at five different temperatures (100, 125, 150, 175 and 200°C) and four salinities (NaCl concentrations 50.9, 103.6, 215.7 and 338.1 g/kg H2O). The columns containing SiO2 and NaCl solutions where isolated for a reaction time of six days before fluid sampling (Table1 “Silica solubility at high saline geothermal conditions”). The experiments conducted to study silica solubility kinetics were performed for different time periods (from 1 hour up to 144 hours) to study solubility as a function of time. These tests were conducted at 200°C with NaCl concentration 50.92 g/kg and 338.09 g/kg H2O (Table2 “Silica solubility kinetics at high saline geothermal conditions”). The experimental setup consists of packed static columns. Maximum four columns (length 40 cm, i.d. 10.22 mm, stainless steel SS316) packed with the material to study can be placed in parallel within the setup. Porous metal frits (HC276) are placed at the outlet and inlet of the columns to prevent entrainment of the material. Approximately 50 g of dried SiO2 powder is required to fill a column completely and the pore volume was measured gravimetrically to be approximately 15 ml. Two Gilson 307 high performance liquid chromatography (HPLC) pumps are included in the setup. One for filling and displacing column pore fluid and one for diluting the fluid prior to sampling, preventing precipitation of dissolved silica due to depressurization and cooling. Pressure was maintained by a dome loaded backpressure regulator (BPR) from CoreLab at the column outlet and liquid samples were collected using a fraction collector (Gilson FC203B). The setup of columns and inlet/outlet valves was placed in a heating cabinet (Memmert). The columns were thermally insulated to prevent instabilities in temperature and hence pressure when opening the heating cabinet during sampling. The columns are flooded with degassed NaCl fluid at a low flow rate and pressurized initially to 25 bars while temperature is increased slowly to the desired level. The time of start is noted, the brine pump is shut off, and the individual columns isolated by closing inlet and outlet valves. After a period (hours, days, or weeks) samples are withdrawn from the columns and diluted at the mixing point by re-opening the valves and operating both HPLC pumps. A dilution factor of 8.5 is selected to prevent precipitation. For each sampling five samples of 2 ml is collected (totally 10 ml of fluid). The two first samples are considered to contain mainly dead volumes from tubing, fittings and valves and are therefore discharged. The three last samples represent the pore fluid from the column. These samples are analysed for Si and NaCl concentration. The NaCl concentration was analysed to keep control of the dilution step of the sampling process. SiO2 and NaCl concentrations were analysed using inductively coupled plasma mass spectrometry (ICP-MS) or inductively coupled plasma optical emission spectrometry (ICP-OES). The elements Si and Cl (ICP-MS) or Si and Na (ICP-EOS) were detected. The Si concentration from the analysis was reported as mg/L solution. From this concentration the concentration of SiO2 in the samples were calculated and reported as mol/kg H2O. The conversion from liter solution to kg H2O was done using the OLI software for density calculations.

opencc-by-4.0Sep 2023View details →

Silica dissolution and precipitation kinetics in hot geothermal conditions

This dataset report quartz dissolution kinetics as obtained from packed column experiments at different flow rates. Variables were temperature, pressure and NaCl content as incicated in the table. Silica values are reported as mg/L of Si as measured by ICP-OES. Also included in the table is a column describing how data series were treated to extract steady-state values for each flow rate (cf. the report to which the current dataset is related). The column "solubility used" states the solubility used to calculate dissolution (k+) and precipitation (k-) rate constants along with a column "source" which briefly indicates how this value was obtained. Further details are given in the report. Factors used to get from the raw data to the reported rate constants are also given. Not included in the table, but common for all data points are a quartz BET surface are of 0.6922 m2/g, 10 g quartz and a quartz activity assumed to be 1. Note that this dataset contain several measurement points that are not representative. These include points close do equilibrium where kinetic information cannot be reliably obtained and points where it is suspected that a temperature drop during sampling may have caused erroneous results (the Si content actually represents a somewhat lower temperature that was not measured). The reader is referred to the full report for details.

Magneto-telluric data from the Los Humeros geothermal field in Mexico: time series and edi-files

The data are from the Los Humeros geothermal field in Mexico. The dataset is composed of time series of magneto-telluric data and edi-files obtained from the time series. A file containing the location of the soundings and calibration files are also in the dataset. The Metronix equipment was used to acquire the data. The data were gathered under the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 727550, and by the Mexican Energy Sustainability Fund CONACYT-SENER, Project 2015-04-268074.

Transient Electromagnetic data from the Los Humeros geothermal field in Mexico: raw data

The dataset is composed of raw data from TerraTEM (from Monex GeoScope, single loop) from the Los Humeros geothermal field, Mexico and their locations in a .csv file. The data were gathered under the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 727550, and by the Mexican Energy Sustainability Fund CONACYT-SENER, Project 2015-04-268074.

opencc-by-4.0Nov 2024View details →

European cities with Geothermal District Heating and conventional District Heating - GeoDH project

The dataset includes two shapefiles showing the location data for cities across Europe that use Geothermal District Heating and conventional District Heating.  This dataset was developed for assessing the potential of Geothermal District Heating in Europe as part of the GeoDH project (<a href="http://geodh.eu/" target="_new" rel="noopener">http://geodh.eu/</a>). Please note that this represents the state of the art as of 2014 and that geological, technological, and regulatory developments may have occurred since its creation, and users should verify if more recent data is available for their purposes.

opencc-by-4.0Apr 2024View details →

Data Set for "Alteration's control on frictional behavior and the depth of the ductile shear zone in geothermal reservoirs in volcanic arcs" I: Lesser Antilles Volcanic Arc

Data set for the 48 friction experiments performed for gouge samples (altered andesitic rocks) from the Lesser Antilles used in the manuscript, "Alteration's control on frictional behavior and the depth of the ductile shear zone in geothermal reservoirs in volcanic arcs". This data set can be used in combination with the data set for the Cascades used in the same manuscript (doi:10.5281/zenodo.10964936). This large combined data set (of 108 frictional experiments) represents a unique opportunity to systematically study frictional behaviour in the framework of rate and state. All samples are tested in wet and dry conditions at 10, 30, and 50 MPa with velocity steps and slide-hold-slides. These two data sets have the further advantage of being performed with exactly the same protocol (same run in, same initial gouge thickness, same velocity steps, same hold periods), in the same machine, by the same operator (or by an operator who was trained and supervised by the original operator).

opencc-by-4.0Jul 2024View details →

Supplemental to: Physical and mechanical depth relationships of rocks from the Rotokawa Geothermal Reservoir, Taupō Volcanic Zone, New Zealand

This contains supplementary informations for the Manuscript  Physical and mechanical depth relationships of rocks from the Rotokawa Geothermal Reservoir, TaupōVolcanic Zone, New Zealand submitted for review at the New Zealand Journal of Geology and Geophysics

opencc-by-4.0Mar 2020View details →

Dataset related to the article "Laboratory-scale hydraulic fracturing dataset for benchmarking of Enhanced Geothermal System simulation tools"

Experimental results from hydraulic fracturing experiments performed in granite and marble samples of size 30 cm × 30 cm × 45 cm under well-defined boundary conditions. Datasets include: <ul> <li>pressure versus flow-rate response</li> <li>acoustic emission data from a dense network of 32 seismic sensors</li> <li>detailed description of the experimental set-up and adopted test protocol</li> <li>mechanical and petrophysical properties of the samples</li> <li>python code for seismic data processing</li> </ul> This complete collection of data, obtained within the framework of European Union’s Horizon 2020 project GEMex, is rare in its kind and indispensable for verification of model assumptions and constitutive relationships of numerical codes used for designing field-scale hydraulic fracturing experiments.

opencc-by-4.0Mar 2019View details →

Thermal model of the Los Humeros super-hot geothermal system, Mexico

The dataset contains 3D thermal model (format - .vtk and .h5) of Los Humeros geothermal system at a local scale (extent defined in Calcagno et al., 2018).  The boundary conditions used for this thermal model are obtained from Scenario 3b of regional model discussed in EU Deliverable D6.3 (<a href="http://doi.org/10.5281/zenodo.3723039">10.5281/zenodo.3723039</a>) and D6.6 (<a href="https://doi.org/10.5281/zenodo.3723224">10.5281/zenodo.3723224</a>). Before using the results of the model, the user is advised to carefully read the model parameters, assumptions and uncertainties associated with the model as reported in Deliverable D6.3 and Deliverable D6.6. <ol> <li>The .h5 file contains data and attributes (quantity, unit)</li> <li>The .vtk files contains the following information <ul> <li>x, y,  z      UTM coordinates (m)</li> <li>temp         Temperature (°C)</li> <li>head         Hydraulic head (m)</li> <li>pres          Pressure (MPa)</li> <li>por            Porosity (-)</li> <li>q               Heat flow (W m-2)</li> <li>kx, ky, kz   Permeability (m2)</li> <li>vx, vy, vz   Specific discharge or Darcy velocity (m s-1)</li> <li>lx, ly, lz      Thermal conductivity (W m-1 K-1)</li> </ul> </li> </ol> Additional information regarding the model is presented in the PDF document.

opencc-by-4.0Nov 2023View details →

Silica dissolution under a flow of pure water at pressure and temperature conditions relevant to geothermal energy extraction

This dataset is a published product of the 'REFLECT' Project - a Horizon Europe project which aims to inform the processes of geothermal energy extraction by determining the effect of relevant fluid properties and reactions in order to enhance predictive geochemical modelling and thus the energy exploitation and life-time of geothermal power plants.The dataset records the concentration of silica measured in water that had been passed through a packed column of quartz grains at temperatures from 200 to 450°C and pressures from 150 to 450 bar.  Concentrations are reported as g/ml SiO2, measured photometrically. The reader is referred to the full report for deliverable 1.4 of the REFLECT project for details of the experimental set up and interpretation of the data.Silica concentrations marked with (a) are believed to be artificially reduced compared to the rest of the dataset due to a reduction in the surface density of active sites during some of the highest dissolution experiments.  The final column lists the chronological order in which the measurements were taken to assist with interpretation of this factor.The density marked with (b) represents the density of water at 150 bar and 342°C, rather than the measured condition of 148 bar and 344°C.  This is to reflect the fact that the solubility measurement suggests the presence of a liquid phase - the conditions chosen represent the closest point on the phase boundary to the measured conditions.  The discrepancy may reflect a small shift in the phase envelope due to silica dissolution in addition to any uncertainty in the pT measurements.

opencc-by-4.0Nov 2024View details →

Geological areas of interest for Geothermal District Heating utilization in Europe - GeoDH project

The dataset includes four shapefiles showing the location data of geological areas of interest for Geothermal District Heating, including hot sedimentary aquifers and Neogene basins. The hot sedimentary aquifers layer represents areas where Neogene basin contours (sourced from the IGME Europe geological map at a scale of 1:5,000,000) overlap with regions where subsurface temperatures exceed 50°C at 1000m depth and/or 100°C at 2000m depth. This dataset was developed for assessing the potential of Geothermal District Heating in Europe as part of the GeoDH project (<a href="http://geodh.eu/" target="_new" rel="noopener">http://geodh.eu/</a>). Please note that this represents the state of the art as of 2014 and that geological, technological, and regulatory developments may have occurred since its creation, and users should verify if more recent data is available for their purposes.

opencc-by-4.0Feb 2022View details →

Geodetic displacement data near North Brawley Geothermal Field, 2009-2019

Supplementary Dataset for Materna, Barbour, Jiang, and Eneva (2022), "Detection of aseismic slip and poroelastic reservoir deformation at the North Brawley Geothermal Field from 2009–2019".  The 2009-2019 downsampled and processed displacements for modeling, shown in their Figure 3, are presented in this repository. Processing methods are included in detail in the paper. Also included are the fault geometries used for modeling and the surface rupture trace of the M4.7 normal faulting earthquake in the 2012 Brawley Swarm, traced from a UAVSAR interferogram.  TerraSAR-X data were ordered from the German Space Agency (DLR), using funding from grant GEO-10-001 awarded to Imageair Inc. by the California Energy Commission (CEC). InSAR/SqueeSAR processing of these data was done by TRE Altamira in Canada and Italy under CEC grant GEO-16-003 to Imageair Inc. Leveling data were obtained from the Imperial County Department of Public Works (https://publicworks.imperialcounty.org) and processed under the same grant. The Copernicus Sentinel-1 data were processed by the European Space Agency (ESA) and retrieved from the Alaska Satellite Facility (ASF) (https://search.asf.alaska.edu/). Sentinel-1 displacement time series were derived from interferograms processed in Jiang and Lohman (2021) through the support of Southern California Earthquake Center (SCEC) award 20139. SCEC is funded by NSF Cooperative Agreement EAR-1600087 & USGS Cooperative Agreement G17AC00047. UAVSAR data can be downloaded at https://uavsar.jpl.nasa.gov/. Quadtree downsampling was performed with the Kite library (Isken et al., 2017).

opencc-by-4.0Mar 2022View details →

Cyclic unrest in a geothermal field as a harbinger of the Fagradalsfjall eruption, Iceland - INSAR data repository

This repository is providing the InSAR data generated from the Copernicus Sentinel-1A and 1B satellites and as published in the paper Flóvenz et al. (2022) Cyclic unrest in a geothermal field as a harbinger of the Fagradalsfjall eruption, Iceland. Nature Geosciences, NGS-2021-06-01178 We analyse deformation and seismicity for one year prior to the March 2021 Fagradalsfjall eruption in Iceland. We generate a high-resolution catalogue of 39,500 earthquakes using optical cable recordings and develop a poroelastic model to describe three pre-eruptional uplift and subsidence cycles at the Svartsengi geothermal field, 8 km west of the eruption site. We find the observed deformation is best explained by cyclic intrusions into a permeable aquifer by a fluid injected at 4 km depth below the geothermal field, with a total volume of 0.11±0.05 km3 and a density of 850±350 kg/m3. The geodetic data relevant for the publication and provided here include: 1. Displacement from ascending geometry 2. Displacement from descending geometry 3. Vertical displacement component 4. Horizontal displacement component These data are available for the following bands and dates: band     date 58    07-01-2020 57    13-01-2020 56    19-01-2020 55    25-01-2020 54    31-01-2020 53    06-02-2020 52    12-02-2020 51    18-02-2020 50    24-02-2020 49    01-03-2020 48    07-03-2020 47    13-03-2020 46    19-03-2020 45    25-03-2020 44    31-03-2020 43    06-04-2020 42    12-04-2020 41    18-04-2020 40    24-04-2020 39    30-04-2020 38    06-05-2020 37    12-05-2020 36    18-05-2020 35    24-05-2020 34    30-05-2020 33    05-06-2020 32    11-06-2020 31    17-06-2020 30    23-06-2020 29    29-06-2020 28    05-07-2020 27    11-07-2020 26    17-07-2020 25    23-07-2020 24    29-07-2020 23    04-08-2020 22    10-08-2020 21    16-08-2020 20    22-08-2020 19    28-08-2020 18    03-09-2020 17    09-09-2020 16    15-09-2020 15    21-09-2020 14    27-09-2020 13    03-10-2020 12    09-10-2020 11    15-10-2020 10    21-10-2020 9    27-10-2020 8    02-11-2020 7    08-11-2020 6    14-11-2020 5    20-11-2020 4    26-11-2020 3    02-12-2020 2    08-12-2020 1    14-12-2020

opencc-by-4.0Jun 2022View details →

Selection against early flowering in geothermally heated soils is associated with pollen but not prey availability in a carnivorous plant

This data set includes data on flowering phenology, rosette diameters and fitness of the perennial herb Pinguicula vulgaris, as well as data on soil temperature and experimental treatment applied. The data was collected during the summer of 2020 in 287 plant individuals located in a sub-arctic geothermal area in Ölfus municipality in SW-Iceland, Hengill (64°03’N; 21°18’W, ~360 m.a.s.l.).