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203 results for “Seismic data”
Multicomponent ocean-bottom seismic data decomposition using separate calibration filters
<p>All relevant pictures in the article</p>
The seismic data for the 2016 Menyuan earthquake
<p>The waveform data and strong motion data for the 2016 Mw5.9 Menyuan earthquake. The Waveform data are provided by Earthquake Science Data Center at the Institute of Geophysics, China Earthquake Administration. The strong motion data are provided by Institute of Engineering Mechanics, China Earthquake Administration. The continuous waveform data can be requested with a preauthorized account from the Data Management Center of China Seismic Network. The strong motion data can be requested with a preauthorized account from the Institute of Engineering Mechanics, China Earthquake Administration. If you use this data for research, please re-apply to these institutions.</p>
Seismic structure beneath the Avacha and Koryaksky volcanoes in Kamchatka based on the data of permanent and temporary networks
<p>This file contains the files to reproduce the results presented in the article: <strong>Seismic structure beneath the Avacha and Koryaksky volcanoes in Kamchatka based on the data of permanent and temporary networks </strong>by Kitsura E., Koulakov I., Jakovlev A., Abkadyrov I., Bushenkova N., Chebrov D., Izbekov P., and Qaysi S.I., submitted to <em>Journal of Geophysical Research, Solid Earth</em>.</p> <p>This file includes:</p> <p>1. The full folder with the LOTOS code for the passive-source seismic tomography (Koulakov, 2009, BSSA). </p> <p>2. Folder with the dataset including arrival times of the P and S waves from local seismicity in the area of the Avacha group of volcanoes.</p> <p>3. README_AVA__KOR.pdf file with the description of the workflow on how to reproduce the tomography models based on experimental and synthetic data presented in the article. </p> <p>Koulakov, I., 2009, LOTOS code for local earthquake tomographic inversion: Benchmarks for testing tomographic algorithms: Bulletin of the Seismological Society of America, v. 99, p. 194–214, https://doi.org/10.1785/0120080013.</p>
Data and program codes to reproduce the results of seismic tomography for the Augustine Volcano (Alaska)
<p>This file contains the files to reproduce the results presented in the article: by Ivan Koulakov, Saleh Ismail Quasi, and Pavel Izbekov (2023). Structure of shallow magma sources beneath Augustine Volcano (Alaska) inferred from local earthquake tomography, <em>Journal of Geophysical Research, Solid Earth</em>.</p> <p>This file includes:</p> <p>1. The full folder with the LOTOS code for the passive-source seismic tomography (Koulakov, 2009, BSSA). </p> <p>2. Folder with the dataset including arrival times of the P and S waves from local seismicity in the area of the Augustine Volcano in Alaska.</p> <p>3. README_AUGUSTINE.PDF file with the description of the workflow on how to reproduce the tomography models based on experimental and synthetic data presented in the article. </p> <p>Koulakov, I., 2009, LOTOS code for local earthquake tomographic inversion: Benchmarks for testing tomographic algorithms: Bulletin of the Seismological Society of America, v. 99, p. 194–214, https://doi.org/10.1785/0120080013.</p> <p> </p> <p> </p>
Data files for 'Tan et al., (2020). Hydraulic fracturing induced seismicity in the southern Sichuan Basin due to fluid diffusion inferred from seismic and injection data analysis'
<p>CEDC catalog.xlsx : the seismic catalog from China Earthquake Data Center (https://data.earthquake.cn/)</p> <p>Local network catalog.xlsx : the seismic catalog of the local seismic network</p> <p>Injection data of N5&N7.xlsx : the injection data of N5 and N7 (with permission of the operator)</p>
Seismic waveform data collected at Helheim Glacier between Aug, 2012 and Jun, 2017 (part 1)
<p> Raw seismic waveforms (in miniSEED format) at HEL1 station collected at Helheim Glacier between 2012 and 2017 (part 1)</p>
Seismic waveform data collected at Helheim Glacier between Aug, 2012 and Jun, 2017 (part 2)
<p>Raw seismic waveforms (in miniSEED format) at HEL1 station collected at Helheim Glacier between 2012 and 2017 (part 2)</p>
Continuous waveform data and the catalog of local seismic events in Sichuan
<p>Continuous waveform data and the catalog of local seismic events in Sichuan</p>
Crop of Romney seismic-reflection data volume, offshore the North Island of New Zealand
<p>Crop of Romney seismic-reflection data volume, offshore the North Island of New Zealand (Exploration Database, 2023).</p> <p>SEG-Y header locations<br> Inline 4-byte – loc: 181<br> Xline 4-byte – Loc 185<br> X 4-byte – Loc 73<br> Y 4-byte – Loc 77</p> <p>CRS<br> New Zealand Map Grid<br> Datum: NZ Geodetic Datum 1949<br> Spheroid: Int 1924<br> PM: Greenwich<br> Meters<br> False Northing 6023150m<br> False Easting 2510000m<br> Long of Natural origin 173 dega<br> Lat of Natural origin -41 dega</p> <p>Exploration Database (2023). New Zealand Petroleum and Minerals. www.nzpam.govt.nz/maps-geoscience/exploration-database/, February 21, 2023.</p>
Seismic data and receiver functions from two linear dense nodal array in the southern Chinese Altai region
<p>Seismic data and receiver functions from two linear dense nodal array in the southern Chinese Altai region. All data are arranged by seismic events, and the number before the first dot of each file name represents the station number.</p>
Data from: Catalog of non-seismic short duration events offshore cascadia
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Data from: Variation in harbour porpoise activity in response to seismic survey noise
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Data from: Friction of Longmaxi shale gouges and implications for seismicity during hydraulic fracturing
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Data from: Natural regeneration on seismic lines influences movement behaviour of wolves and grizzly bears
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Data from: Predicting the maximum earthquake magnitude from seismic data in Israel and its neighboring countries
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Data from: Short-term disturbance by a commercial two-dimensional seismic survey does not lead to long-term displacement of harbour porpoises
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Seismic data collected at the Tinguatón volcano (Lanzarote, Canary Islands) during the European Space Agency (ESA) testing campaign PANGAEA-X 2018
<p>This dataset contains the seismic data collected between 19 and 21 November 2018 at the Tinguatón volcanic region (Los Volcanes Natural Park, Geoparc of Lanzarote, Canary Islands, Fig. 1), within the A1TRAP experiment which formed part of the Analog-1 geology and science support activity (Rossi et al., 2019). Analog 1 was part of a larger European Space Agency (ESA) testing campaign PANGAEA-X 2018 (Bessone et al., 2018), aimed at integrating astronaut training-data collection, documentation, analogue field geology procedures with remote sensing and in situ geophysical methods. </p> <p>Single-station, free-field ambient seismic noise data were collected along two orthogonal profiles: Traverse A, crossing the Tinguatón volcano, and Traverse B passing alongside it (Fig. 1c). Traverse A is ESE-WNW oriented and aligned to the regional fault (as well as along the fissure vent inside the volcano crater), and consists of 12 stations (P1-P12), approximately 50 m apart, with a total profile length of 620 m. Traverse B is NNW-SSE oriented and orthogonal to the regional fault strike, and consists of 9 stations (P13-P20), approximately 50 m apart, with a total profile length of 390 m.</p> <p>Data were collected using a Tromino® model ENGY digital tromograph (Micromed, 2011). This is an ultralight all-in-one device, using a compact 3-directional, 24-bit digital seismometer developed by MoHo s.r.l. (1 dm<sup>3</sup> volume and 1 kg weight), including both sensors and the data acquisition system, and works at frequencies down to 0.3 Hz. This seismograph is equipped with three orthogonal electrodynamic sensors (velocimeters), powered by two 1.5 V AA batteries. It includes an internal Global Positioning System (GPS) antenna and does not have any external cables.</p> <p>For all the measurements, the seismometer’s axis referred to as N-S was aligned to N15W direction, i.e., the strike of the western edge of the Tinguatón volcano, the area’s main topographic feature. Good ground coupling on scoria deposits or highly weathered basalt was obtained by using three, 6 cm-long metal spikes screwed into the base of the unit. The seismometer was levelled. Each seismic noise acquisition involved a 16-minute trace length with a 1024 Hz sampling rate, in accordance with the recommendations from SESAME Project (Bard et al., 2004).</p> <p>Four MASW (Multichannel Analysis of Surface Waves) active seismic surveys (A3_5, A7, A8_10, A18_19) were undertaken along the two profiles (Fig. 1c) to acquire the shear wave velocity of the shallow layer which was later to be used to constrain the H/V inversion. These surveys were carried out using the same equipment, along with a wireless trigger by MoHo s.r.l., and a heavy metal plate struck with a 5 kg hammer for the generation of compressional waves. A redundancy test, which involved ground energization by an ESA astronaut (Matthias Maurer) jumping up and down, was also performed (Fig. 1c). This test tried to mimic deployment and testing during possible future planetary missions. However, this test did not provide satisfactory results in term of signal clarity. The seismometer was kept fixed on the ground while shot points were moved at increasing distances involving a 5 m minimum offset and 1 m spacing for the first 11 shots and 5 m spacing for subsequent shots for total profile lengths ranging between 50 m and 100 m (Fig. 1c). Each MASW acquisition involved a 3 s trace window with a 512 Hz sampling rate.</p> <p>The data are presented in ASCII format files. The recordings of each channel were saved all together in the same file. Information about each file was printed on the header of the same file.</p> <p> </p> <p><strong>Acknowledgements</strong></p> <p>The authors are grateful to ESA and all PANGAEA-X 2018 staff, particularly Loredana Bessone and Matthias Maurer for their participation in data collection during some of the experiments and to the MilesBeyond Team, particularly Francesco Maria Sauro for his logistical support. We also thank MoHo s.r.l., particularly Jeremy Magnon, for providing instrumental support.</p> <p> </p> <p><strong>References</strong></p> <p>Bessone, L., et al., 2018, Testing technologies and operational concepts for field geology exploration of the</p> <p> Moon and beyond: the ESA PANGAEA-X campaign, Geophysical Research Abstract, #EGU2018-4013.</p> <p>Micromed, 2011. Dati tecnici Tromino e download pacchetto software Grilla. Available online from the</p> <p> website <a href="http://www.tromino.it/">http://www.tromino.it</a>.</p> <p>Bard, P., Duval, A., Koehler, A., Rao, S., 2004, Guidelines for the Implementation of the H/V Spectral Ratio</p> <p> Technique on Ambient Vibrations Measurements, Processing and Interpretation. SESAME H/V User Guidelines., pp. 1–62. Available online: <a href="http://sesame.geopsy.org/SES_Reports.htm">http://sesame.geopsy.org/SES_Reports.htm</a>.</p> <p>Rossi, A.P., et al., 2019, Morphometry and trafficability of planetary analogue terrains based on very high</p> <p> resolution remote sensing imagery, Geophysical Research Abstract, #EGU2019-17614.</p>
DATA of 'Quantification of seasonal and diurnal dynamics of subglacial channels using seismic observations on an Alpine Glacier.' from Nanni et al. 2020,
<p>This dataset belongs to the study of <strong>Nanni et al., 2020</strong> "Quantification of seasonal and diurnal dynamics of subglacial channels using seismic observations on an Alpine Glacier." accepted for publication in The Cryosphere on March 9th 2020.</p> <p>You can find additional information on the "<strong>README_data_NANNI_2020_glacier</strong>"</p>
Data of seismic urban noise in the city of Hamburg, Germany 2018
<p>Use is free for scientific purposes, provided the aforementioned reference is appropriately cited.</p> <p>The dataset contains raw seismic data in mini-seed format which was used in the publication: doi will follow soon.</p> <p>The zip-file contains the raw data of three broadband stations and their inventories as xml-files. The recording time ranges from 2018-01-01 until 2018-04-19.</p> <p>The data presented here is partly funded through the German Research Foundation (DFG) under Germany‘s Excellence Strategy – EXC 2037 'CLICCS - Climate, Climatic Change, and Society' – Project Number: 390683824, and the Cluster of Excellence 'CliSAP' (EXC177), contribution to the Center for Earth System Research and Sustainability (CEN) of Universität Hamburg.</p> <p> </p>
Seismic Ground Motion Data Analyses for North-East Arkansas
<p>Estimation of liquefaction resistance and shear velocities are key elements in the assessment of potential earthquake damage of existing and new construction sites. The Arkansas Department of Transportation (ARDOT) and other agencies in the region need ground motion response analysis (GMRA) data of specific construction sites. As part of a recent ARDOT’s Transportation Research Committee (TRC) project, researchers have conducted geophysical investigations several construction sites in northeast Arkansas over the past twelve years. The current study gathered the previously reported test data and estimated seismic hazard properties such as shear wave velocity profiles and seismic hazard coefficients for nearby locations. Finally, seismic hazard profiles and liquefaction maps have been generated for selected sites in northeast Arkansas.</p>
ScienceDex guides
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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.