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781 results for “earthquakes”
References to Earthquakes in VOC Archives
<p>This csv-file contains references to 172 earthquakes or similar events in the VOC-archives dating from 1674 to 1786. These events mostly occured in the former Dutch East Indies. The data is gathered from automatic transcriptions (Transkribus platform) from the scans of the VOC archives: https://www.nationaalarchief.nl/onderzoeken/archief/1.04.02/invnr/%40Deel%20I?query=1.04.02&search-type=inventory</p> <p>The csv file has the following columns:</p> <ul> <li>File name of online scan</li> <li>Year</li> <li>Date</li> <li>location</li> <li>Damage</li> <li>Additional information</li> </ul> <p> </p> <p> </p>
Co-seismic and post-seismic differential Interferograms and displacement maps for the 2020 M6.5 Monte Cristo Range, Nevada earthquake
<p>Differential interferograms for the Mw 6.5 Monte Cristo, Nevada earthquake, processed with SNAP and CNR-IREA P-SBAS in the <a href="https://geohazards-tep.eu">Geohazards Exploitation Platform</a>.</p> <p>USGS event page for the Monte Cristo earthquake:</p> <p><a href="https://earthquake.usgs.gov/earthquakes/eventpage/nn00725272/">https://earthquake.usgs.gov/earthquakes/eventpage/nn00725272/</a></p> <p>Co-seismic and post-seismic (May 16 - May 23) interferograms are included. For each interferometric pair, three products are included: coherence, phase interferogram and unwrapped interferogram (LOS displacement). Decomposition.zip files includes the processed East-West and Vertical deformation maps from combining ascending and descending interferograms.</p> <p> </p>
Earthquake catalogs southern Kansas
<p>Relocated earthquake catalog (Data Set S1) and original non-relocated enhanced catalog (Data Set S2) for southern Kansas.</p>
Slab transport of fluids to deep focus earthquake depths - thermal modeling constraints and evidence from diamonds
<p>This data set contains earthquake data and thermal models of subduction zones used in Shirey, S. B., Wagner, L. S., Walter, M. J., Pearson, D. G., & van Keken, P. E., "Slab transport of fluids to deep focus earthquake depths - thermal modeling constraints and evidence from diamonds", submitted to AGU Advances.</p> <p>There are four zip files:<br> 1) Events.zip contains the earthquake location data;<br> 2) PTeq.zip contains the estimated pressure and temperature in the EQ locations as projected onto slab top and Moho<br> 3) ThermalModels.zip contains the temperature along paths parallel to the slab top for each subduction zone<br> 4) ThermalModels_vtu.zip contains the temperature on the full computational grid<br> <br> See the README files for information on the data formats for 1-3.</p>
An automatically generated high-resolution earthquake catalogue for the 2016-2017 Central Italy seismic sequence, including P and S phase arrival times
<p>Catalog of 440,697 earthquakes of the 2016-2017 Central Italy seismic sequence semi-automatically generated by Spallarossa et al. (2020). The catalogue covers one year of aftershocks following the first mainshock of the sequence (from 08242016 to 08312017).</p> <p>The catalog has been generated using the Complete Automatic Seismic Processor (CASP) procedure (Scafidi et al., 2019) to detect the events and an advanced picker engine (RSNI-Picker<sub>2</sub>; Scafidi et al., 2018; Spallarossa et al., 2014) to determine their phase arrival times. The final set of about 7 million P- and 10 million S-wave arrival times have been used to locate the events using a non-linear location algorithm (NonLinLoc; Lomax et al. 2000), with a 1D velocity model calibrated for the area (De Luca et al., 2009) and station corrections. For each event, also local magnitudes (M<sub>L</sub>) has been calculated as well as a locations quality.</p> <p>Earthquake locations quality has been classified by means of the procedure proposed by Michele et al., (2019) consisting of the combination of diverse uncertainty parameters provided by the NonLinLoc location code. Locations quality is provided in terms of a unique numeric normalized value, named quality factor, varying between qf=0 (best quality location) and qf=1 (worst quality location). Then locations have been assigned to a quality class depending on the qf parameter value according to the following scheme: A-class (0 < qf ≤ 0.25), B-class (0.25 < qf ≤ 0.50), C-class (0.50 < qf ≤ 0.75), and D-class (0.75 < qf < 1.00). The earthquake locations are distributed between the quality classes as A-30.6%, B-31.4%, C-18.6%, and D-19.4% (details in Spallarossa et al., 2020).</p> <p>We accompanied the catalogue with the 30 events with M>3.5 missed by our procedure (bring the total number of events to 440,727), including the first Amatrice mainshock (M<sub>W</sub>6.0; see Spallarossa et al., 2020). These 30 missing events recognisable by the ID starting with ISI), have been taken from INGV bulletin (<a href="http://terremoti.ingv.it">http://terremoti.ingv.it</a>; ISIDe Working Group., 2007), manually generated. These additional events report INGV locations and magnitude parameters while are missing related quality factors and quality class, being generated by a different procedure.</p> <p>We added to the larger events, the available moment magnitudes (M<sub>W</sub>) from Time Domain Moment Tensor catalogue (<a href="http://terremoti.ingv.it/tdmt">http://terremoti.ingv.it/tdmt</a>; Scognamiglio et al., 2006).</p> <p>The catalog is in csv format, semicolon separator, ordered by origin time and the header content is the following:</p> <ul> <li>Id-event – ID</li> <li>Latitude (°) expressed in decimal degrees - LAT</li> <li>Longitude (°) expressed in decimal degrees - LON</li> <li>Depth(km) hypocentral depth expressed in kilometres - DEP</li> <li>Year of origin time in the format yyyy - YR</li> <li>Month of origin time in the format mo - MON</li> <li>Day of origin time in the format dd - DY</li> <li>Hour of origin time in the format hh - HR</li> <li>Minute of origin time in the format mi - MIN</li> <li>Second of origin time in the format XX.XXX s - SEC</li> <li>Local Magnitude - ML</li> <li>Standard deviation of the Local Magnitude – STD</li> <li>Moment Magnitude – Mw (from TDMT)</li> <li>Horizontal Error (from NLL output) (km) expressed in kilometres - ERH</li> <li>Vertical Error (from NLL output) (km) expressed in kilometres - ERZ</li> <li>RMS (from NLL output) (s) expressed in seconds - RMS</li> <li>Number of Phases – NPHS</li> <li>Stations Azimuthal GAP (°) expressed in decimal degrees - GAP</li> <li>Quality factor - Qf</li> <li>Quality class - Qc</li> </ul> <p> </p> <p>De Luca G., M. Cattaneo, G. Monachesi and A, Amato (2009). Seismicity in the Umbria-Marche region from the integration of national and regional seismic networks. Tectonophysics, 476(1), 219-231. doi: 10.1016/j.tecto.2008.11.032.</p> <p>ISIDe Working Group. (2007). Italian Seismological Instrumental and Parametric Database (ISIDe). Istituto Nazionale di Geofisica e Vulcanologia (INGV); https://doi.org/10.13127/ISIDE.</p> <p>Lomax, A., J. Virieux, P. Volant, and C. Berge-Thierry (2000). Probabilistic earthquake location in 3D and layered models: introduction of a Metropolis–Gibbs method and comparison with linear locations. In: Advances in seismic event location, ed. C. H. Thurber and N. Rabinowitz, 101–134. Dordrecht and Boston: Kluwer Academic Publishers.</p> <p>Michele, M., Latorre, D., Emolo, A. (2019). An Empirical Formula to Classify the Quality of Earthquake Locations. Bulletin of the Seismological Society of America. Vol. 109, No. 6, pp. 2755–2761, December 2019, doi: 10.1785/0120190144.</p> <p>Scafidi, D., Viganò A., Ferretti G., and Spallarossa D. (2018). Robust picking and accurate location with RSNI-Picker2: real-time automatic monitoring of earthquakes and non-tectonic events, Seismol. Res. Lett, Vol. 89 (4), pp. 1478-1487, doi: 10.1785/0220170206.</p> <p>Scafidi D, Spallarossa D, Ferretti G, Barani S, Castello B, Margheriti L (2019). A complete automatic procedure to compile reliable seismic catalogs and travel-time and strong-motion parameters datasets. Seismol Res Lett 90(3):1308–1317.</p> <p>Scognamiglio, L., Tinti, E., Quintiliani, M. (2006). Time Domain Moment Tensor [Data set]. Istituto Nazionale di Geofisica e Vulcanologia (INGV). https://doi.org/10.13127/TDMT.</p> <p>Spallarossa, D., G. Ferretti, D. Scafidi, C. Turino, and M. Pasta (2014). Performance of the RSNI-Picker, Seismol. Res. Lett. 85, 1243–1254.</p> <p>Spallarossa D., Cattaneo M., Scafidi D., Michele M., Chiaraluce L., Segou M. and I. G. Main (2020). An automatically generated high-resolution earthquake catalogue for the 2016-2017 Central Italy seismic sequence, including P and S phase arrival times. Geophys. J. Int. doi: 10.1093/gji/ggaa604.</p>
Shallow very low frequency earthquakes and low frequency tremors off Costa Rica
<p>We detected very low frequency earthquakes (VLFEs) by the matched-filter technique and calculated the energy rates of shallow low frequency tremors accompanying VLFEs off the Nicoya Peninsula, Costa Rica. We submitted a paper about slow earthquakes off Costa Rica. </p> <p>The methods of detecting VLFEs and estimating energy rates of tremors are written in a JGR paper (https://doi.org/10.1029/2021JB021706).<br> If you use this data, please cite this paper.</p> <p>Data Set S1: list of detected VLFEs. First column: year, second column: month, third column: day, forth column: hour, fifth column: minute, sixth column: second, seventh column: longitude, eighth column: latitude, ninth column: depth (km), and tenth column: magnitude, eleventh column: duration (s). Times are described in UTC.</p> <p>Data Set S2: list of energy rates of tremors accompanied by VLFEs. First column: year, second column: month, third column: day, forth column: hour, fifth column: minute, sixth column: second, seventh column: longitude, eighth column: latitude, ninth column: depth (km), and tenth column: energy rate (J/s). Times are described in UTC.</p>
Seismic datasets in "Conjugate fault deformation revealed by aftershocks of the 2013 Mw6.6 Lushan earthquake and seismic anisotropy tomography"
<p>The Lushan seismic dataset used in the manuscript entitled 'Conjugate fault deformation revealed by aftershocks of the 2013 Mw6.6 Lushan earthquake and seismic anisotropy tomography ' submitted to Geophysical Research Letters.</p> <p> </p>
After a catastrophe, a little bit of sex is better than nothing: genetic consequences of a major earthquake on asexual and sexual populations
<p>Catastrophic events can have profound effects on the demography of a population and consequently, on genetic diversity. The dynamics of post-catastrophic recovery as well as the role of sexual versus asexual reproduction in buffering the effects of massive perturbations remain poorly understood, in part because the opportunity to document genetic diversity before and after such events is rare. Six natural (purely sexual) and seven cultivated (mainly clonal due to farming practices) populations of the red alga Agarophyton chilense were surveyed along the Chilean coast before, in the days after and two years after the 8.8 magnitude earthquake in 2010. The genetic diversity of sexual populations appeared sensitive to this massive perturbation, notably through the loss of rare alleles immediately after the earthquake. By 2012, the levels of diversity returned to those observed before the catastrophe, probably due to migration. In contrast, enhanced rates of clonality in cultivated populations conferred a surprising ability to buffer the instantaneous loss of diversity. After the earthquake, farmers increased the already high rate of clonality to maintain the few surviving beds, but most of them collapsed rapidly. Contrasting fates between sexual and clonal populations suggest that betting on strict clonality to sustain production is risky, probably because this extreme strategy hampered adaptation to the brutal environmental perturbation induced by the catastrophe.</p>
Data from: Establishing rates of carbon sequestration in mangroves from an earthquake uplift event
We assessed the carbon stocks (CS) in mangroves that developed after a Magnitude 7.1 earthquake in Silonay, Oriental Mindoro, south Luzon, Philippines in November 1994. The earthquake resulted in a 50 cm uplift of sediment that provided new habitat within the upper intertidal zone which mangroves colonized (from < 2 ha pre-earthquake to the current 45 ha, 23 yrs post-earthquake). The site provided opportunity for a novel assessment of the rate of carbon sequestration in recently established mangroves. The CS were measured in above-ground, below-ground and sediment compartments over a seaward to landward transect. Results showed mean CS of 549 ± 30 Mg C/ha (of which 13% was from the above-ground biomass, 5% from the below-ground biomass, and 82% from the sediments). There was high carbon sequestration at 40-cm depth that can be inferred attributable to the developed mangroves. The calculated rate of C sequestration (over 23 years post-earthquake) was 10.2 ± 0.7 Mg C/ha/yr and is comparable to rates reported from mangroves recovering from forest clearing. The rates we present here from newly developed mangroves contributes to calibrating estimates of total CS from restored mangroves (of different developmental stages) and in mangroves that are affected by disturbances.
Earthquakes - 2010 & 2011
Global map of seismic events for the years 2010 and 2011 ([animation here](https://skfb.ly/6Mn8Y)). Here are some interesting events/features, clearly visible on this visualization: * March 2011 earthquake in Tohoku, Japan (see this [3D model](https://skfb.ly/6GULX)) * [February 2010 earthquake in Chile](https://en.wikipedia.org/wiki/2010_Chile_earthquake) * Seismic activity in the [Tonga-Kermadec](https://en.wikipedia.org/wiki/Tonga-Kermadec_Ridge) subduction system, the most "active" on earth (East of Australia) * [Seismic activity in the Scotia Arc](http://earthjay.com/earthquakes/20160819_sandwich/civile_etal_2012_tectonics_scotia.pdf), where continents want to emerge (East of southern Chile) * The fine [USGS](https://www.usgs.gov/) monitoring on the US west-coast, in Hawaii and in the Aleutian Trench (North Pacific), where even the smallest events (purple) are recorded. Seismic data comes from the [Earthquake Catalog](https://earthquake.usgs.gov/fdsnws/event/1/), and was processed in Python. Source: Objaverse 1.0 / Sketchfab
ALOS2 T197 co-seismic interferogram of Amatrice earthquake (Italy)
<p>ALOS2 T197 co-seismic interferogram (wrapped) of Amatrice earthquake (Italy). <br /> Data Type: wrapped Interferogram (radians)<br /> Observation interval: 09092015AL2_24082016AL2<br /> Sensor: ALOS2<br /> Wavelength: 23,6 [cm]<br /> Look Angle: 36.6 [deg]<br /> Projection: Geografic Lat-Long (WGS84)<br /> Applied Phase Filter: Goldstein 0.5<br /> Author: IREA - CNR</p> <p><em>Acknowledgments</em>: JAXA, ESA GEP, CNR-IREA, Italian DPC</p> <p> </p>
Mapping and analysis of the Central Italy Earthquake (2016) with Sentinel-1 A/B interferometry
<p><strong>Results Description</strong></p> <p><em>Background</em></p> <p>A 6.2M earthquake hit Central Italy, the area of city of Amatrice, on 24 August 2016. The quake epicentre was southeast of Norcia, Italy, in an area near the borders of the Umbria, Lazio, Abruzzo and Marche regions. The quake hypocentre was at a depth of approximately 5 km.</p> <p><em>InSAR</em></p> <p>We computed a set of coseismic Sentinel-1A/B interferograms, over the affected area.</p> <ul> <li>Descending track 95: S1A (2016-08-26) / S1A (2016-08-14)</li> <li>Descending track 22: S1A (2016-08-21) / S1B (2016-08-27)</li> <li>Ascending track 117: S1B (2016-08-21) / S1A (2016-08-27)</li> </ul> <p><em>Earthquake Motion Decomposition</em></p> <p>We also performed the two-dimensional earthquake motion decomposition. As an input for the decomposition, data of tracks 22 descending and 117 ascending were used, since they provide the full coverage of the earthquake.</p> <p><strong>Results and Data Package</strong></p> <p><em>Descending Interferogram, Track 95:</em></p> <ul> <li>Goldstein filtered wrapped interferometric phase, 16x4 ML (KMZ format)</li> <li>Interferometric coherence (KMZ format)</li> <li><em>Descending Interferogram, Track 22:</em></li> <li>Goldstein filtered wrapped interferometric phase, 16x4 ML (KMZ format)</li> <li>Interferometric coherence (KMZ format)</li> <li>Full geo-coded Goldstein filtered wrapped interferogram, 16x4 ML (GeoTiff format)</li> <li>Intereferorgram subset (GeoTiff format) <ul> <li>Specifically for subset: 8x2 ML + goldstein + unwrapping + geocoding, incl oversampling to 10 m + smoothing (5x5 pixel boxcar) + subsampling to ~50m + calibrated at the point at used for 2D decomposition</li> </ul> </li> </ul> <p><em>Ascending Interferogram, Track 117:</em></p> <ul> <li>Goldstein filtered wrapped interferometric phase, 16x4 ML (KMZ format)</li> <li>Interferometric coherence (KMZ format)</li> <li>Full geo-coded Goldstein filtered wrapped interferogram, 16x4 ML (GeoTiff format)</li> <li>Intereferorgram subset (GeoTiff format, 7Mb zip file) <ul> <li>Specifically for subset: 8x2 ML + goldstein + unwrapping + geocoding, incl oversampling to 10 m + smoothing (5x5 pixel boxcar) + subsampling to ~50m + calibrated at the point at used for 2D decomposition</li> </ul> </li> </ul> <p><em>Decomposed Solution</em></p> <ul> <li>Vertical Component (KMZ format)</li> <li>East-West Component (KMZ format)</li> <li>Vertical Component (GeoTiff format)</li> <li>East-West Component (GeoTiff format)</li> </ul> <p><em>Additional Information</em></p> <ul> <li>Filenames are self descriptive and not require additional information</li> <li>KMZ and GeoTiff files that are available for download, are generated for high-resolution investigations in GoogleEarth and post-processing & interpretation. They are not prepared for overviews, and thus are not heavily smoothed nor filtered.</li> </ul> <p><em>Terms and Conditions:</em> All Sentinel-1 results that are available for download are Derived Works of Copernicus data (2014-2016), subject to the "TERMS AND CONDITIONS FOR THE USE AND DISTRIBUTION OF SENTINEL DATA AND SERVICE INFORMATION".</p> <p><em>Acknowledgments:</em> ESA SEOM InSARap project - Sentinel-1 InSAR Performance Study with TOPS Data, contract number 4000110680/14/I-BG-InSARap</p> <p><em>More information and context available at insarap.org .</em></p>
LIST OF RECENT EARTHQUAKES THAT POSSIBLY HAD SURFACE RUPTURE
<p>The Excel spreadsheet and its accompanying text file list all the shallow (<35 km) M6+ earthquakes that have occurred on-land in the period 2000-2016. These are of a size and type of earthquake that may have produced surface faulting. So in updating the SURE database, we need to ensure that we know whether each of these 134 earthquakes produced surface rupture, and how much. At this point it looks like there are published papers about surface faulting for 20 of these earthquakes. For the rest, we don't know if there was surface rupture or not. I suggest we ask for volunteers from the countries that contain these 114 undocumented earthquakes, and ask them if surface rupture was looked for, and if so, if it was found and what parameters were measured. These volunteers would come from the SURFACE project, or be new paleoseismologists who would like to become involved.</p>
Amatrice Earthquake - Sentinel-1 TOPS Ascending - Coherence Map (S1A_20160815-S1A_20160827)
<p>Coherence levels of the ascending S1 TOPSAR interferogram (S1A_20160815-S1A_20160827).</p> <p>A Sentinel-1 TOPS co-seismic interferogram of the Amatrice earthquake in Italy on the 24th of August 2016. Processing was performed with the ESA SNAP toolbox (http://step.esa.int/).</p> <p>S1A data were downloaded from the Sentinel-1 Scientific Data Hub.</p> <p>Contains modified Copernicus data (2016)</p> <p> </p>
Amatrice Earthquake - Sentinel-1 TOPS - Vertical Motion
<p>Vertical motion component of the Amatrice earthquake from Sentinel-1.</p> <p>A Sentinel-1 TOPS co-seismic interferogram of the Amatrice earthquake in Italy on the 24th of August 2016. Processing was performed with the ESA SNAP toolbox (http://step.esa.int/).</p> <p>S1A data were downloaded from the Sentinel-1 Scientific Data Hub.</p> <p>Contains modified Copernicus data (2016)</p>
Amatrice Earthquake - Sentinel-1 TOPS - E-W Motion
<p>E-W motion component of the Amatrice earthquake from Sentinel-1.</p> <p>A Sentinel-1 TOPS co-seismic interferogram of the Amatrice earthquake in Italy on the 24th of August 2016. Processing was performed with the ESA SNAP toolbox (http://step.esa.int/).</p> <p>S1A data were downloaded from the Sentinel-1 Scientific Data Hub.</p> <p>Contains modified Copernicus data (2016)</p>
Amatrice Earthquake - Sentinel-1 TOPS Descending - Differential Interferogram (S1A_20160821-S1B_20160827)
<p>Differential S1 TOPS interferogram (S1A_20160821-S1B_20160827) from descending orbit 22.</p> <p>A Sentinel-1 TOPS co-seismic interferogram of the Amatrice earthquake in Italy on the 24th of August 2016. Processing was performed with the ESA SNAP toolbox (http://step.esa.int/) including TOPS InSAR processing, removal of topographic phase, phase filtering and orthorectification.</p> <p>S1A data were downloaded from the Sentinel-1 Scientific Data Hub.</p> <p>Contains modified Copernicus data (2016)</p>
Amatrice Earthquake - Sentinel-1 TOPS Descending - Coherence Map (S1A_20160821-S1B_20160827)
<p>Coherence levels of the descending S1 TOPSAR interferogram (S1A_20160821-S1B_20160827).</p> <p>A Sentinel-1 TOPS co-seismic interferogram of the Amatrice earthquake in Italy on the 24th of August 2016. Processing was performed with the ESA SNAP toolbox (http://step.esa.int/).</p> <p>S1A data were downloaded from the Sentinel-1 Scientific Data Hub.</p> <p>Contains modified Copernicus data (2016)</p>
Amatrice Earthquake - Sentinel-1 TOPS Ascending - Differential Interferogram (S1A_20160815-S1A_20160827)
<p>Differential S1 TOPS interferogram (S1A_20160815-S1A_20160827) from ascending orbit 117.</p> <p>A Sentinel-1 TOPS co-seismic interferogram of the Amatrice earthquake in Italy on the 24th of August 2016. Processing was performed with the ESA SNAP toolbox (http://step.esa.int/) including TOPS InSAR processing, removal of topographic phase, phase filtering and orthorectification.</p> <p>S1A data were downloaded from the Sentinel-1 Scientific Data Hub.</p> <p>Contains modified Copernicus data (2016)</p>
Demo measurement using DIAPASON and Sentinel-1 after the 14 November 2016 earthquake in New Zealand
<p>This is a test of the automated chain on the GEP.</p>
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OpenNeuro
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