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111 results for “geothermal”
Comparison of different types of restitution in groundwater for open-loop shallow geothermal systems
<p>Comparison of different types of restitution in groundwater of the thermally modified water, exploited by open-loop shallow geothermal systems. The comparison shows that the restitution in the vadose zone in more thermally sustainable, since the produced thermal alteration is lower when reinstating the aquifer by trenches or infiltration wells rather than using a reinjection well directly in groundwater. These would be wiser solutions to avoid an overheating/overcooling of the aquifer at higher depths, especially in urban areas where the density of shallow geothermal systems is constantly increasing. The white line represents the elevation of the groundwater table calculated by the model for each simulated day.</p>
Hellisheiði geothermal field: Hydraulic data for pseudo-prospective forecasting models (Dec. 2018 - Jan. 2021)
<p>This dataset comprises the compound volumes processed from injection and production rates in the Hellisheiði field between December 2018 and January 2021. This dataset corresponds to the input data for the ETAS-f and Seismogenic Index models of Ritz et al., 2023 (doi:<a href="https://doi.org/10.22541/essoar.168500354.49240043/v1">10.22541/essoar.168500354.49240043/v1</a>)</p><p>The hydraulic data was acquired and processed by Reykjavik Energy/ON power, the operator of the Hellisheiði geothermal field.</p>
Greenland 2022 GHOST Project: Sampling Greenland Geothermal Springs - Expedition Report Data
Data from the GHOST GRL22 Leg 1 Expedition report
Raw data: The novel gammaproteobacterial methanotroph "Ca. Methylocalor cossyra" CH1 actively coexists with verrucomicrobial methanotrophs in acidic and hot geothermal soil
Open the record for dataset details and reuse information.
Ambient noise data and velocity model from DEEPEN array in Hengill geothermal field, Iceland
<p>This repository contains the data and velocity model associated with the manuscript entitled "<em>Crustal characterization of the Hengill geothermal fields: Insights from isotropic and anisotropic seismic noise imaging using a 500-node array</em>" by Wu et al. (2024), to be published in <em>Journal of Geophysical Research: Solid Earth</em>. </p> <p>The dataset is the nine component cross-correlation functions (ZZ, ZN, ZE, NZ, NN, NE, EZ, EN, EE) after stacking over seismic array deployment time period (summer 2021) and after spatial averaging (bin stacking). The bin locations are provided in "bin_locations.txt".</p> <p>The derived VOIGT velocity and radial anisotropy model can be found in "Hengill_Voigt_Aniso_DEEPEN_4share.txt".</p> <p> </p>
Population genomic consequences of life history and mating system adaptation to a geothermal soil mosaic in yellow monkeyflowers (common garden phenotype data)
<p>Local selection can promote phenotypic divergence despite gene flow across habitat mosaics, but adaptation itself may generate substantial barriers to genetic exchange. In plants, life-history, phenology, and mating system divergence have been proposed to promote genetic differentiation in sympatry. In this study, we investigate phenotypic and genetic variation in <em>Mimulus guttatus</em> (yellow monkeyflowers) across a geothermal soil mosaic in Yellowstone National Park (YNP). Plants from thermal annual and nonthermal perennial habitats were heritably differentiated for life history and mating system traits, consistent with local adaptation to the ephemeral thermal-soil growing season. However, genome-wide genetic variation primarily clustered plants by geographic region, with little variation sorting by habitat. The one exception was an extreme thermal population also isolated by a 200m geographical gap of no intermediate habitat. Individual inbreeding coefficients (F<sub>IS</sub>) were higher (and predicted by trait variation) in annual plants and annual pairs showed greater isolation by distance at local (<1km) scales. Finally, YNP adaptation does not re-use a widespread inversion that underlies <em>M. guttatus</em> life-history ecotypes range-wide, suggesting a novel genetic mechanism. Overall, this work suggests that life history and mating system adaptation strong enough to shape individual mating patterns does not necessarily generate incipient speciation without geographical barriers.</p>
Gravity data collected during volcanic unrest period of the Svartsengi geothermal field in Iceland
<p>The file contains free-air corrected data collected during the one-year unrest at the Svartsengi geothermal field in Iceland as a precursor the Fagradalsfjall eruption in 2021.</p> <p>Column 1: Name of the measurement site</p> <p>Column 2 and 3: Geographical coordinates of measurement sites</p> <p>Column 4-6. Change in elevation, free-air correction and free air gravity change from January 28-29th to April 22-28th 2020</p> <p>Column 7-9. Change in elevation, free-air correction and free air gravity change from April 22-28th to October 5-6th 2020</p> <p>Column 10-12. Change in elevation, free-air correction and free air gravity change from October 5-6th 2020 to February 17-18th 2021</p>
Code for noise-based seismic velocity changes estimation with the Bezymianny volcano data set. Journal of Volcanology and Geothermal Research.
<p>This file contains all the data and the python scripts used to estimate seismic velocity changes for the Bezymianny volcano (Klyuchevskoy volcano group). It also includes a guideline README.pdf with the description how to reproduce all the results presented in the paper <strong>Berezhnev Y., Belovezhets N., Shapiro N., Koulakov I. (2022), Temporal changes of seismic velocities below Bezymianny volcano prior to its explosive eruption on 20.12.2017, Journal of Volcanology and Geothermal Research</strong></p>
Geothermal and structural features of La Palma island (Canary Islands) imaged by ambient noise tomography
<p>These folders contain all the results obtained in the ambient noise tomography of La Palma for geothermal exploration. </p>
Data Supporting Global Distribution of Geothermal Gradients in Sedimentary Basins
<p>This dataset contains a global compillation of geothermal gradient estimates in boreholes from sedimentary basins all over the world. The data largely supports the analysis in the <em>Geoscience Frontiers</em> publication: <strong><em>Kolawole & Evenick (2023), Global distribution of geothermal gradients in sedimentary basins</em></strong>, doi.org/10.1016/j.gsf.2023.101685. An exception in the data is the proprietary data sourced from FrogTech SEEBASE reports (https://www.geognostics.com/frogtech-seebase-studies) that is not inlcuded in this release.</p> <p>Kolawole, F., Evenick, J.C. (2023). Global Distribution of Geothermal Gradients in Sedimentary Basins. Geoscience Frontiers, 14(6), p.101685. Doi: 10.1016/j.gsf.2023.101685.</p> <p>The here in attached zip folder contains:<br>1. Global geothermal gradient database as described above, provided in .csv and .txt formats. Each data entry includes: Reference Number (same as in Data Sources file), API/UWI (where available), Longitude (Decimal Degrees), Latitude (Decimal Degrees), Region, Country, Well Name (where available), Geothermal Gradient (°C/km), Data Source.<br>2. List of data sources and their references, provided in excel .xlsx format</p> <p>Acknowledgement:<br>We thank the Exploration Technology Center (ETC) of BP Exploration, Houston, U.S. for supporting the implementation of this research project during the time F. Kolawole and J. C. Evenick worked there, the release of the public domain portion of the compilled geothermal gradient database, and for the permission to publish the database.</p> <p><br>For further questions or comments, contact:<br>Folarin Kolawole, Ph.D.<br>Assistant Professor of Geology,<br>Department of Earth & Env. Sciences,<br>Columbia University,<br>New York, USA<br>Tel: +1 (646) 661-7143<br>Email: fola@ldeo.columbia.edu<br>Website: http://www.folarinkolawole.com</p>
Techno-economics of Geothermal Power in the Contiguous United States Under Baseload and Flexible Operations (Dataset)
<p>This dataset was created as part of a project that is undergoing journal peer-review. Here is the abstract:</p> <p> </p> <p>As geothermal technology continues to gain momentum, it becomes increasingly essential for stakeholders to assess the economic feasibility of geothermal power projects when integrated into electricity markets. This study aimed to evaluate the techno-economic viability of identified and undiscovered hydrothermal systems across the contiguous United States. Multiple data and methods were developed and integrated to model the lifecycle techno-economics of geothermal projects at hourly resolution. Additionally, flexible operations through wellhead throttling were evaluated to estimate the potential improvement compared to business-as-usual power plant operations. A total of 3,632 and 17,789 MWe of identified and undiscovered hydrothermal resources, respectively, were found to be economically competitive. Multiple sites were profitable under a typical 70 USD/MWh power purchase agreement, with return on investment close to 400%. However, operating in the open power market yielded non-profitable projects across the majority of sites. Opting for flexible dispatch resulted in an improved economic performance. Particularly, the most profitable site had nearly 20\% relative improvement in return on investment upon switching from baseload to flexible dispatch.</p>
Geothermal Heat Flux for Greenland
<p>Geothermal Heat Flux dataset from Rogozhina et al. 2016 (DOI: 10.1038/NGEO2689), with latitude, longitude, Geothermal Heat Flux in mW/m2 at a depth of 5 km.</p> <p><strong>Melting at the base of the Greenland ice sheet explained by Iceland hotspot history</strong></p> <p>Irina Rogozhina, Alexey G. Petrunin, Alan P. M. Vaughan, Bernhard Steinberger,<br> Jesse V. Johnson, Mikhail K. Kaban, Reinhard Calov, Florian Rickers, Maik Thomas and Ivan Koulakov</p> <p>Ice-penetrating radar and ice core drilling4 have shown that large parts of the north-central Greenland ice sheet are melting from below. It has been argued that basal ice melt is due to the anomalously high geothermal flux that has also influenced the development of the longest ice stream in Greenland. Here we estimate the geothermal flux beneath the Greenland ice sheet and identify a 1,200-km-long and 400-km-wide geothermal anomaly beneath the thick ice cover. We suggest that this anomaly explains the observed melting of the ice sheet’s base, which drives the vigorous subglacial hydrology and controls the position of the head of the enigmatic 750-km-long northeastern Greenland ice stream. Our combined analysis of independent seismic, gravity and tectonic data implies that the geothermal anomaly, which crosses Greenland from west to east, was formed by Greenland’s passage over the Iceland mantle plume between roughly80and 35 million years ago. We conclude that the complexity of the present-day subglacial hydrology and dynamic features of the north-central Greenland ice sheet originated in tectonic events that pre-date the onset of glaciation in Greenland by many tens of millions of years.</p>
Dataset for "Modeling Neighborhood-Scale Shallow Geothermal Energy Utilization - A Case Study in Berlin"
<p>Dataset with prepared ogs simulations used in the paper "Modeling Neighborhood-Scale Shallow Geothermal Energy Utilization - A Case Study in Berlin".</p> <p>Plese read the README file in the folder first.</p>
Dataset supporting publication: "The Problem of Geothermal Power Installation on Buildings: Structural Building Monitoring and Assessment During Drilling Activities"
<p>Dataset supporting publication: “The Problem of Geothermal Power Installation on Buildings: Structural Building Monitoring and Assessment During Drilling Activities” (publication available in <a href="https://zenodo.org/record/7266386#.Y1_e1XbMJPY">GEOFIT Zenodo</a>)</p> <p>Datasets resultant from structural health monitoring activities (accelerometer data).</p> <p>The current European Union (EU) policy aims to increase the use of “green” energies, and within this strategy the exploitation of the geothermal energy is a well promising approach. The European Horizon2020 project GEOFIT (Deployment of novel GEOthermal systems, technologies and tools for energy efficient building retroFITting) aims among the others to deploy and to integrate advanced methods of worksite inspection, ground research, and building structural monitoring, drilling and worksite characterization into advanced geothermal based retrofitting methods.</p> <p>When dealing with “plants of power production”, one needs to develop a Life Cycle Analysis and to apply a Life Cycle Assessment (LCA) for evaluating any environmental aspects and potential influences throughout the whole life cycle of a product or process or service. The paper first provides a preliminary discussion on this aspect. Then it focuses attention on a pilot site made available within the GEOFIT Consortium. The results from a structural monitoring campaign in this pilot site before and during the drilling operations associated to the implementation of the geothermal power system are presented discussed.</p>
Dataset supporting publication: "Geothermal Power: Monitoring the Building Response During Installation"
<p>Dataset supporting publication: “Geothermal Power: Monitoring the Building Response During Installation” (publication available for download: <a href="https://zenodo.org/record/4244246#.X6KWq1CCHIU">GEOFIT Zenodo</a>)</p> <p>The European project GEOFIT (Deployment of novel GEOthermal systems, technologies and tools for energy efficient building retrofitting) is gathering more than 20 partners from all around Europe. Its main objective is to deploy and to integrate advanced methods of worksite inspection, ground research, and building structural monitoring, drilling and worksite characterization into advanced geothermal based retrofitting methods. This contribution reports the experimental results to be achieved within GEOFIT at the location of specific case studies. In particular standard accelerometric measurements will be collected and compared with the information collected by the geo-radar system made available by one of the partners. This paper focuses on the structural monitoring of a two-story masonry building. The results of a preliminary data collection in the absence of drilling are also reported.</p>
Data from: Thermal springs and active fault network of the central Colca River basin, Western Cordillera, Peru, published in Journal of Volcanology and Geothermal Research
<p>We used hydrogeochemical analysis of 35 water samples from springs and geysers, together with isotopic (δ<sup>18</sup>O and δD) analysis, chemical and mineral studies of precipitates collected in the field around these outflows, and field observations to study the thermal system of the Colca River basin in S Peru. We aimed to determine the geochemistry of thermal waters, identify fluid sources and their origin, estimate reservoir temperature, and discuss the regional tectonic and volcanic framework. Our findings presented in Tyc et al. (2022; https://doi.org/10.1016/j.jvolgeores.2022.107513) corroborate a heterogeneous and complex geothermal system in the central region of the Colca River basin. This system exhibits contrasting hydrogeochemical and physical characteristics, variable isotope compositions, distinct reservoir temperatures, and associated precipitates near thermal springs. The control of water chemistry in this area is closely linked to the activity of the Ampato-Sabancaya magmatic chamber and the presence of tectonic structures, which enable intricate interactions between meteoric waters, magmatic fluids, and gases.</p> <p>Here, we present datasets used in the article (Tyc et al., 2022; https://doi.org/10.1016/j.jvolgeores.2022.107513), including:</p> <p>- Physicochemical characteristics of water samples collected by authors in the field in September 2012 and August–September 2017 (Table 1)</p> <p>- Chemical and isotopic composition of water samples collected by authors in the field in September 2012 and August–September 2017 (Table 2) and those monitored by INGEMMET in years 2013-2018 (Table 3)</p> <p>- Chosen molecular ratios discussed in Tyc et al., 2022 (Table 4)</p> <p>- Calculated reservoir temperature with the use of different Na/K geothermometers (Table 5)</p> <p>- Mineral phases in efflorescences precipitating at the water sampling sites (Table 6).</p> <p>Thirty-five sets of water samples were collected in the field in September 2012 and August–September 2017 using polyethylene bottles of high density (Table 1). Consequently, these were analyzed in the Water Analysis Laboratory at the University of Silesia in Katowice (Poland; Table 2). Water temperatures, pH, and electrical conductivity were measured in the field using portable pH meter CP-315 and conductivity meter CC-315, both with temperature sensors, with an accuracy of ±0.1 °C, ±0.01 pH, and ± 0.1% (up to 19.999 mS/cm) or ± 0.25% (above 20.00 mS/cm), respectively. Discharge of springs was estimated if possible (Table 1). Both cations and anions were analyzed by ion chromatography using Methron 850 Professional Ion Chromatograph with separate Metrosept C4–150 and A-supp 7–250 columns for cations and anions, respectively (Tables 2 and 4). Analysis of water analyses collected by INGEMMET in years 2013-2018 was performed at the INGEMMET Chemical Laboratory in Lima with the use of ion chromatography (Dionex ICS 5000) for the determination of anions and inductively coupled plasma optical emission spectrometry (ICP-OES) – VARIAN for cations (Table 3). Isotopic analyses (δ<sup>2</sup>H, δ<sup>18</sup>O) of 17 water samples collected in 2017 were performed at the Stable Isotope Laboratory Institute of Geological Sciences Polish Academy of Sciences (Table 2). The δ<sup>2</sup>H values of studied H<sub>2</sub>O were measured using the H-Device peripheral coupled to MAT 253 IRMS (Thermo Scientific) in a dual inlet system. For the determination of δ<sup>18</sup>O in H<sub>2</sub>O, an equilibration technique was used. The analysis used the GasBench II peripheral device (Thermo Scientific) coupled to MAT 253 IRMS with a continuous He flow. The AquaChem 4.0.284 software was used to evaluate the water samples' geochemical properties and calculate reservoir temperature for thermal waters (Table 5). Precipitates found at the water sampling sites were collected separately into plastic bags with strings and sealed boxes. These samples were subsequently analyzed at the Institute of Earth Sciences, University of Silesia in Katowice. The qualitative chemical composition and mineral characteristics were examined using a Philips XL 30 ESEM/TMP scanning electron microscope coupled with an energy-dispersive spectrometer (EDS; EDAX type Sapphire). The phase composition of the precipitates was determined through X-ray diffraction (XRD) using a Philips PW 3710 diffractometer. The XRD data were analyzed and interpreted using the X'Pert HIGHScore Plus software (Table 6).</p>
Estimates of geothermal heat flux across Antarctica
<p>Estimates of heat flux with associated uncertainties across Antarctica from three Machine Learning models</p>
Dataset and R-script for Article: Increased heat tolerance of geothermal plants comes at the cost of reduced performance under cooler conditions
<p>Dataset and R-script for Article</p> <p>"Increased heat tolerance of geothermal plants comes at the cost of reduced performance under cooler conditions"</p> <p>to be published in the Journal "Ecology and Evolution"</p>
Population genomic consequences of life history and mating system adaptation to a geothermal soil mosaic in yellow monkeyflowers (common garden phenotype data)
Open the record for dataset details and reuse information.
Warming threatens aquatic-terrestrial linkages: evidence from tropical geothermal streams
Open the record for dataset details and reuse information.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.