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111 results for “geothermal”
Data from: Geothermal stickleback populations prefer cool water despite multigenerational exposure to a warm environment
<p>Given the threat of climate change to biodiversity, a growing number of studies are investigating the potential for organisms to adapt to rising temperatures. Earlier work has predicted that physiological adaptation to climate change will be accompanied by a shift in temperature preferences, but empirical evidence for this is lacking. Here, we test whether exposure to different thermal environments has led to changes in preferred temperatures in the wild. Our study takes advantage of a 'natural experiment' in Iceland, where freshwater populations of threespine sticklebacks (Gasterosteus aculeatus) are found in waters warmed by geothermal activity year-round (warm habitats), adjacent to populations in ambient-temperature lakes (cold habitats). We used a shuttle-box approach to measure temperature preferences of wild-caught sticklebacks from three warm-cold population pairs. Our prediction was that fish from warm habitats would prefer higher water temperatures than those from cold habitats. We found no support for this, as fish from both warm and cold habitats had an average preferred temperature of 13oC. Thus, our results challenge the assumption that there will be a shift in ectotherm temperature preferences in response to climate change. In addition, since warm-habitat fish can persist at relatively high temperatures despite a lower temperature preference, this suggests that preferred temperature alone may be a poor indicator of a population's adaptive potential to a novel thermal environment.</p>
Behavior of amagmatic orogenic geothermal systems: insights from the Agua Blanca Fault, Baja California, Mexico
<p>This dataset includes all the data used for the paper submitted to the Journal of Geophysical Research: Solid Earth, entitled: <strong>Behavior of amagmatic orogenic geothermal systems: insights from the Agua Blanca Fault, Baja California, Mexico. </strong></p> <p>One word and excel file are provided with the following information:</p> <p><strong>Word file: Geological and geochemical data</strong></p> <p>Table 1: Chemical and isotopic compositions of thermal waters.</p> <p>Table 1: Chemical and isotopic compositions of gases dissolved in thermal waters.</p> <p>Table S1: Major oxides and Th and U concentrations in host rocks.</p> <p>Table S2: Thermal waters corrected by the seawater fraction.</p> <p>Table S3: Classical geothermometric temperatures, brittle–ductile transition depth, geothermal gradient, and the minimum depth of equilibration.</p> <p>Table S4: Pameters to estimate the hydraulic head gradient</p> <p><strong>Excel file: geophysical data</strong></p> <p>Seismic events</p>
Greenland Geothermal Heatflow
<p>Seven Greenland geothermal heat flux ('bheatflx') datasets in CISM netcdf format. The horizontal spatial resolution is 4 km.</p>
The Role of Flexible Geothermal Power in Decarbonized Electricity Systems: Supplementary Data
<p>This repository contains raw data related to the paper "The Role of Flexible Geothermal Power in Decarbonized Electricity Systems." 'EGS_Costing.xlsx' is an excel model used to determine the cost and performance of EGS resources based on input characteristics such as resource depth, temperature, and location. 'Reservoir_Simulations.zip' contains outputs from the ResFrac reservoir simulations used to calibrate the EGS optimization model. The 'PowerGenome.zip' contains the PowerGenome input and output files used to create non-EGS inputs for the GenX power systems model. 'GenX_Source_Code.zip' contains the source code for the modified version of GenX used in this study. Other compressed folders contain the input and output files for all GenX runs referenced in this study. </p>
Electrical conductivity versus temperature in freezing conditions: a field experiment using a basket geothermal heat exchanger
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Plasticity and evolution shape the scaling of metabolism and excretion along a geothermal temperature gradient
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Data from: Reservoir in-situ stress state determined by retrieved granite cores from the Gonghe enhanced geothermal system and its implications, northeastern Tibetan Plateau, China
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Data from: Simultaneous removal of fluoride and arsenic in geothermal water in Tibet using modified yak dung biochar as an adsorbent
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Data from: Geothermal stickleback populations prefer cool water despite multigenerational exposure to a warm environment
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Data from: Divergence of gastropod life history in contrasting thermal environments in a geothermal lake
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The potential for low-grade metamorphism to facilitate fault instability in a geothermal reservoir
<p>Swarms of earthquakes during shale gas exploitation in the Changning area of the Sichuan Basin indicate that hydraulic fracturing induces seismicity both within the target reservoir formation but also to depths of several kilometers below the horizontal well. These remote earthquakes are possibly triggered by total stress perturbations resulting from the hydraulic fracturing. We use a dislocation-based analytical model to simulate multistage hydraulic fracturing of three horizontal wells at a single well pad to explore the spatiotemporal evolution of the total stress perturbations. Results show that the number and distribution of fracturing stages affect both the distribution and magnitude of stress changes and that the stress change diminishes with distance. The undrained injection-induced stress change is less than 10<sup>-3</sup> <i>MPa</i> at distances ≥1 <i>km</i> for single-stage fracturing but reach 10<sup>-1</sup> <i>MPa</i> for multistage fracturing of 30 stages in all three wells. Undrained stress changes scale linearly with the magnitude of fluid leak-off into the formation – halving the effective fracture width halves the induced stress magnitudes and with an identical distribution – limiting the potential for fault reactivation. Scaling analysis for pressure diffusion distal from the reservoir indicates that the short-term (days to weeks) impact is indeed essentially undrained. Estimates for long-term reservoir depletion (months to years) identify a similar induced stress signal of opposite sign but with similar Coulomb potential for reactivation in the long term. Such magnitudes of Coulomb stress changes suggest the possibility of fault reactivation on deep critically-stressed faults at kilometer separation from the injection both in the short term due to stimulation and in the long term as a result of reservoir depletion.</p>
Effect of glacial/interglacial recharge conditions on flow of meteoric water through deep orogenic faults: insights into the geothermal system at Grimsel Pass, Switzerland
<p>This repository contains all files needed to run the base case simulation with PFLOTRAN. The input file pflotran.in provides information about the data sources as annotations. .</p>
Double-difference seismic attenuation tomography method and its application to The Geysers geothermal field, California
<p>Earthquake relocations and Vp and Qp models of The Geysers geothermal field developed by Guo and Thurber (2021).</p> <p> </p> <p>Reference:</p> <p>Hao Guo, Clifford Thurber, 2021. Double-difference seismic attenuation tomography method and its application to The Geysers geothermal field, California, Geophysical Journal International, ggab017, https://doi.org/10.1093/gji/ggab017</p>
Data from: Functional diversity of Collembola is reduced in soils subjected to short-term, but not long-term, geothermal warming
1. Human activities have caused global changes of atmospheric chemistry resulting in increased temperature especially in the colder regions of the northern hemisphere. Since warming of the environment can have drastic effects on terrestrial ecosystems it is important to experimentally evaluate the extent of such effects in long-term field-based experiments. In the present study we make use of both recent (short-term) and long-term geothermal warming of Icelandic soils to examine the responses of Collembola, an ecologically important group of soil invertebrates, to warming. 2. Based on metabolic scaling theory, we hypothesized that species of small size would be more successful in warmed soils than species of larger size. Further we expected that top-soil dwelling species would benefit more from warming than deep-soil dwelling species. In order to test these hypotheses we sampled Collembola along replicated gradients of increasing temperature in areas that had been heated for about six years and more than 50 years, respectively. Collembola were identified to species level, counted, and the community-weighted mean trait scores for six functional and ecological traits were calculated. 3. Results show that both short-term and long-term soil warming caused a shift towards a higher relative abundance of species with small body size. Further, abundance of top-soil dwelling Collembola tended to increase after short-term warming, but the opposite was observed after long-term warming. 4. Using trait-based diversity indices (Frich and RaoQ), we show that functional richness and diversity of Collembola communities was significantly reduced (almost halved) as a result of short-term soil warming to about 10 °C above normal, but this effect was not detected in plots equally warmed for more than 50 years. This indicates that the functional diversity of Collembola communities have high resilience towards soil warming in a long-term perspective.
Shallow geo-electric dataset (ERT/IP/SP) of the Reykjanes geothermal area, Iceland
<p>This dataset was acquired in September 2022 to characterize the shallow geo-electric features of the Reykjanes geothermal system.</p> <p>Electrical resistivity tomography (ERT), Induced Polarization (IP) and Spontaneous potential (SP), was measured on four profiles. Reciprocals were collected for the ERT profiles, needed for filtering and noise estimation, IP data is collected in the time domain. The SP data was collected along the same profiles but not simultaneously to avoid signal interference. The dataset includes:</p> <ul> <li>ERT and IP data as .csv files for both the normal (N_profile*) and Reciprocal (R_profile*)</li> <li>corrected SP data as .csv</li> <li>shapefile with the profile locations, and any necessary auxiliary files. The abovementioned data is always measured North-South and West-East, all profiles are measured with 5m electrode spacing.</li> </ul>
Data from: Genetic divergence and isolation by thermal environment in geothermal populations of an aquatic invertebrate
[No abstract entered]
Microseismic event catalogue for the April 2022 third stimulation at FORGE Enhanced Geothermal System (Utah, US) generated applying a semblance-based detection method to DAS data
<p>The dataset contains microseismic event detections for the third stimulation stage (started on 21 April 2022 at 13:48:22 UTC) performed at FORGE Enhanced Geothermal System (Utah, US) (EGIUU, 2022). We created the catalogue of detections using the semblance-based detection method described in Porras et al. (2024). We applied the detector only to the optical fibre in the observational well 78B-32 (EGIUU, 2022). </p> <p>The catalogue contains events detected from 21 April 2022 at 13:00 UTC to 22 April 2022 at 13:00 UTC and is compared with the Short-Term Average/Long-Term Average catalogue created by Silixa LLC for the same time interval (EGIUU, 2022).</p> <p>The semblance-based detection method detects 2187 events in comparison to the 1169 events reported in the Silixa LLC catalogue. Notice that both catalogues are declustered by removing detections less than 0.7 seconds apart (we keep the earliest detection in case of two or more events within 0.7 seconds). We inspect for common events in both catalogues by considering a time interval of ± 0.6 seconds from the detection time of the events in our catalogue (in the case of more than one event we keep only the closest detection). We find 1086 common events, 83 events only contained in the Silixa's catalogue, and 1101 events only contained in the catalogue from Porras et al. (2024). We manually inspect all the detected events and classify as false detection 6 out of the 1086 events common to both catalogues, 64 out of the 83 events only in the Silixa's catalogue, and 116 of the 1101 events only in the catalogue from Porras et al. (2024). False detections, in addition to noise where no clear P and/or S-waves are visible, include codas of microseismic events (e.g. the same event is picked multiple times especially in the cases where the events occur across two files), and seismic events not related to the FORGE stimulation. In summary, our catalogue contains 2187 microseismic events with 122 potential false detections (5.6 %), while the Silixa's catalogue contains 1169 microseismic events with 70 potential false detections (6.0 %).</p> <p>In this data repository we also include a catalogue "microseismicity_catalogue.csv" with the detection times, the catalogue to which the detection belong (i.e., common detection to both Silixa's catalogue and the catalog from this study, only the Silixa's catalogue, only the catalogue from this study), and a description of the detection (i.e., real event, or false detection). We also upload the figures of all the detections where the figure name correspond to the detection time. The figures are obtained using the original sampling rate of the data (i.e., 4 kHz) and applying a Frequency-Wavenumber (FK) filter to remove the K=0 and unwanted energy (an example of the used F-K filter is also included in this repository). Traces in the figures have amplitudes normalized between -1 and 1. </p> <p>For additional details about the method used to obtain the catalogue we refer the reader to Porras et al. (2024)</p> <p>References:</p> <p>EGIUU, Energy and Geoscience Institute at the University of Utah. (2022). Utah FORGE: Well 16A(78)-32 2022 Stimulation Silixa Microseismic Report [data set]. Retrieved from https://dx.doi.org/10.15121/1893532.</p> <p>Porras, J., Pecci, D., Bocchini, G. M., Gaviano, S., De Solda, M., Tuinstra, K., Tognarelli, A., Lanza, F., Stucchi, E., and Grigoli, F. (2023). A Semblance-based Microseismic Event Detector for DAS Data. Geophysical Journal International, ggae016, https://doi.org/10.1093/gji/ggae016</p>
Geothermal heating affecting ocean stratification and circulation after the Last Glacial Maximum
<p>Data generated in this study is archived here.</p>
Dataset-From a natural disaster to a geothermal opportunity: the Lusi geothermal system investigated with Ambient Noise Attenuation Tomography
<p>Dataset and results of the Ambient Noise Attenuation Tomography of Lusi volcano.</p>
Dataset supporting publication: "Geofit Project Creating the Opportunity of Geographical – BIM (GEOBIM) Platform to Manage Geothermal Systems"
<p>Dataset supporting publication: “Geofit Project Creating the Opportunity of Geographical – BIM (GEOBIM) Platform to Manage Geothermal Systems” (publication available in <a href="https://zenodo.org/record/7274056#.Y2Jml3bMJPY">GEOFIT Zenodo</a>)</p> <p>Within the GEOFIT project (Smart Geothermal Systems1), BIM environment has been defined as GeoBIM platform. This term refers to those specific geothermal applications which are included in a tailormade BIM platform to manage the geothermal systems, building, site and assets information from models, sensors installed and simulations. In GEOFIT project, the demo-sites location is enriched up to the holistic view of the retrofitted buildings with all the geothermal facilities designed, simulated, installed, commissioned, and monitored, from inception onward, during the lifecycle of a facility and includes all stakeholders who need facility information – from the designers to the occupants with the building in operation. This holistic view includes the execution control and the permanent geographical reference because the simulation, monitoring and design processes happen in a specific geographical context. The definition and implementation of a GEOBIM platform is paramount for the project and it is one of the main outcomes of<br> GEOFIT project. While BIM implementation is ubiquitous in the architectural issues of the project, relying mostly on CAD designs, geographical information has a limited role particularly in construction projects, it is often restricted to some specific tasks or seen as a potential redundancy to BIM. Considering the geographical dependent tasks in GEOFIT, GIS can bring a valuable complementary contribution to the BIM process by providing spatial input and geospatial visualization, adding information on the retrofitting demo-site’s surrounding environment and underground thermal information that is essential for design decisions and the approval processes regarding building integrity and geothermal energy availability. In this paper, an interdisciplinary cooperation, data exchange, and data transfer occurs among the different professionals and disciplines involved for the successful retrofitting project planning and energy efficiency demonstration throughout the GEOBIM platform. This is implemented to assemble this set of powerful assessment, inspection and ground research, testing, and real time monitoring tools.</p>
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.