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662 results for “seismicity”
Thermal state, slab metamorphism and interface seismicity in the Cascadia subduction zone based on 3-D modeling
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Supporting information for: Comprehensive high‐precision relocation of seismicity on the Island of Hawai‘i 1986–2018: seismicity animations
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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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Harbour porpoise (Phocoena phocoena) reaction to a 3D seismic airgun survey in the North Sea
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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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Physiological responses of narwhals to anthropogenic noise: a case study with seismic airguns and vessel traffic in the Arctic
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Seismic detection of oceanic internal gravity waves from subaerial seismometers
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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>
Shear wave splitting measurements used in "Spatio-temporal Analysis of Seismic Anisotropy Associated with the Cook Strait and Kaikoura Earthquake Sequences in New Zealand"
<p>Shear wave splitting measurement used in "Spatio-temporal Analysis of Seismic Anisotropy Associated with the Cook Strait and Kaikoura Earthquake Sequences in New Zealand" is included here. This CSV and XLSX file are part of a paper submitted to GJI in April 2020. A detailed description of the column headers can be found in the MFAST manual, in table 4, at http://mfast-package.geo.vuw.ac.nz/mfast_manual_v2.2.pdf</p>
Dataset of: "Seismic signatures of fractured porous rocks: The partially-saturated case"
<p>This package contains the data of the paper Solazzi et al. (2020). Further information is given in the README file.</p> <p>The software package for the oscillatory relaxation tests, called Parrot, is available upon request to the authors.</p>
Assessing the potential of passive seismic receiver functions for ore body exploration - Supporting information
<p>supplement.pdf - figures with inversion results for individual stations in the Tara passive seismic array</p>
Using Seismic Noise Levels to Monitor Social Isolation: An Example from Rio de Janeiro, Brazil
<p>Paper</p> <p>Dias, F.L., M. Assumpção, P.S. Peixoto, M.B. Bianchi, B. Collaço, J. Calhau (2020), <strong>Using Seismic Noise Levels to Monitor Social Isolation: </strong><strong>An Example from Rio de Janeiro, Brazil. </strong><em>Geophysical Research Letters.</em></p> <p>1) Daily median particle velocity amplitudes for station ON.ON02. Each amplitude is the median of all values between 09 AM - 6 PM local time.</p> <p>median_VEL_4_14_Hz.csv = median daily velocity (m/s) in the 4-14Hz frequency band.</p> <p>median_VEL_8_14_Hz.csv = median daily velocity (m/s) in the 8-14Hz frequency band. Data used in Fig. 2.</p> <p>median_VEL_4_8_Hz.csv = median daily velocity (m/s) in the 4-8Hz frequency band. Data used in Fig. 4.</p> <p>The raw data from station ON.ON02 can be retrieved from the RSBR (Brazilian Seismic Network) database at www.rsbr.gov.br</p> <p>2) <em>In Loco</em> Isolation index for Rio de Janeiro city. Data provided by <em>In Loco</em> company on 2020 April 22.</p> <p>InLoco_IsolationIndex_RioDeJaneiroCity.txt = date and <em>Ik</em> index for Rio de Janeiro city.</p> <p>Data used in Figs. 2, 4 and 5.</p>
Daily cross-correlation functions for "Time-lapse monitoring of seismic velocity associated with 2011 Shinmoe-dake eruption using seismic interferometry: an extended Kalman filter approach"
<p>The daily cross-correlation functions used in Nishida et al. 2020. We used three-component seismograms recorded at eight stations (six broadband sensors and two short-period sensors with a natural frequency of 1 Hz) from May 1st, 2010 to April 30th, 2018. Five stations were deployed by the Earthquake Research Institute, the University of Tokyo, and the other three were deployed by the National Research Institute for Earth Science and Disaster Prevention (NIED). The data can be found in the HDF5 file. You can also find a python code of an implementation of an extended Kalman filter/smoother for time-lapse monitoring of seismic velocity at GitHub (https://github.com/qnishida/eKlfS). The code estimates the temporal change in seismic velocities using this data set. </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>
Synthetic and real datasets for "Seismic source tracking with six degree-of-freedom ground motion observations"
<p>Synthetic datasets for the 2D and 3D rupture tracking and real datasets for the traffic noise tracking used in the manuscript "Seismic source tracking with six degree-of-freedom ground motion observations". The README file describes the data structures.</p>
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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.