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Raspberry Shake

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Journal Article
Published: 28 May 2024
Seismological Research Letters (2024) 95 (4): 2538–2553.
... and relevant. Data from research‐grade broadband seismometers enable us to record time series of vibrations at a broad range of frequencies; however, these sensors are costly and are often deployed in remote places. Participation in the Raspberry Shake citizen science network enables seismology educators...
FIGURES | View All (8)
Journal Article
Published: 13 May 2021
The Seismic Record (2021) 1 (1): 27–34.
...Joanna M. Holmgren; Maximilian J. Werner Abstract Raspberry Shake (RS) seismographs offer the potential for affordable and citizen‐led seismic monitoring in areas with few publicly available seismometers, especially in previously quiescent regions experiencing induced seismicity. However...
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Journal Article
Published: 07 April 2021
Seismological Research Letters (2021) 92 (5): 2736–2747.
...Kate Winter; Denis Lombardi; Alejandro Diaz‐Moreno; Rupert Bainbridge Abstract We evaluate the performance of the low‐cost seismic sensor Raspberry Shake (RS) to identify and monitor icequakes (which occur when glacial ice experiences brittle deformation) in extreme environments. In January 2020...
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Journal Article
Published: 14 November 2018
Seismological Research Letters (2019) 90 (1): 219–228.
...., wastewater injection) would also benefit from network densification; however, current nodal sensors lack power systems or the real‐time data transmission required for these applications. A candidate sensor for these networks may instead be a low‐cost, all‐in‐one package such as the OSOP Raspberry Shake 4D...
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Deep‐learning event localization with two <span class="search-highlight">Raspberry</span> <span class="search-highlight">Shake</span> RS4D stations ( R...
Published: 14 February 2025
Figure 4. Deep‐learning event localization with two Raspberry Shake RS4D stations ( Raspberry Shake, 2016 ) on the Manu‘a Islands—the first two local seismic stations installed in American Samoa. (a–c) The left column shows station AM.RAA63 on Olosega Island and the right column shows station
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Deep‐learning event localization with two <span class="search-highlight">Raspberry</span> <span class="search-highlight">Shake</span> RS4D stations ( R...
Published: 14 February 2025
Figure 4. Deep‐learning event localization with two Raspberry Shake RS4D stations ( Raspberry Shake, 2016 ) on the Manu‘a Islands—the first two local seismic stations installed in American Samoa. (a–c) The left column shows station AM.RAA63 on Olosega Island and the right column shows station
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Photos of the Yale <span class="search-highlight">Raspberry</span> <span class="search-highlight">Shake</span> (R3547) installation. (a) The RS3D senso...
Published: 28 May 2024
Figure 1. Photos of the Yale Raspberry Shake (R3547) installation. (a) The RS3D sensor is built upon a Raspberry Pi computer (visible at left) that is connected to power and ethernet, with attached geophones of different alignment (north–south, east–west, Z, visible at right). (b) R3547 installed
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Overview on earthquakes recorded by the Yale <span class="search-highlight">Raspberry</span> <span class="search-highlight">Shake</span> (R3547) betwee...
Published: 28 May 2024
Figure 2. Overview on earthquakes recorded by the Yale Raspberry Shake (R3547) between 19 September 2022 and 19 July 2023. (a) Map of events in and around North, Central, and northern South America detected by R3547 (magenta triangle). Earthquakes are shown with focal mechanism plots as defined
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<span class="search-highlight">Raspberry</span> <span class="search-highlight">Shake</span> (RS) installation site, on a 1.5‐km‐long blue ice area (BIA...
Published: 07 April 2021
Figure 1. Raspberry Shake (RS) installation site, on a 1.5‐km‐long blue ice area (BIA) west of Princess Elisabeth Antarctica (PEA) research station. (a) Location map (from Landsat 8 satellite imagery, acquired in January 2020) showing the main features of the study site where we highlight
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A <span class="search-highlight">Raspberry</span> <span class="search-highlight">Shake</span> 4D (RS‐4D) (upper‐left inset) compared to the equipment u...
Published: 14 November 2018
Figure 1. A Raspberry Shake 4D (RS‐4D) (upper‐left inset) compared to the equipment used in a typical U.S. Geological Survey (USGS) aftershock deployment. Both systems incorporate a seismometer, three‐component accelerometer, 24‐bit digitizer, and timing information. However, the RS‐4D is more
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(a) USGS aftershock seismic stations (green triangles) and <span class="search-highlight">Raspberry</span> <span class="search-highlight">Shakes</span>...
Published: 14 November 2018
Figure 6. (a) USGS aftershock seismic stations (green triangles) and Raspberry Shakes (magenta triangles) that recorded local Oklahoma and Kansas earthquakes (blue circles) between 1 January 2017 and 1 April 2018. Histograms of the misfit between individual, vertical component station local
Journal Article
Published: 12 March 2025
Seismological Research Letters (2025)
.... Nevertheless, the high cost of broadband networks limits the number of volcanoes that are actively monitored. Here, we test the capability of a network of raspberry shake (RS) seismographs to monitor volcanoes in El Salvador and characterize associated seismicity sequences in real time. We deployed seven three...
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Journal Article
Published: 14 February 2025
The Seismic Record (2025) 5 (1): 83–96.
...Figure 4. Deep‐learning event localization with two Raspberry Shake RS4D stations ( Raspberry Shake, 2016 ) on the Manu‘a Islands—the first two local seismic stations installed in American Samoa. (a–c) The left column shows station AM.RAA63 on Olosega Island and the right column shows station...
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Journal Article
Published: 06 September 2023
Seismological Research Letters (2023) 94 (6): 2725–2739.
... et al. , 2022 ). The inverted open triangles are Raspberry Shake (RS) stations of the HY network. Those with blue color are used in this study. Other stations installed in Haiti are not used in this study (gray squares). The color version of this figure is available only in the electronic edition...
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Journal Article
Published: 13 October 2022
Bulletin of the Seismological Society of America (2023) 113 (1): 58–72.
... are too diffuse to precisely delineate the segments that participated in this rupture. A few days after the mainshocks, we installed 12 broadband stations in the epicentral area. Here, we use data from those stations in combination with four local Raspberry Shakes stations that were already in place...
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Journal Article
Published: 13 November 2019
Seismological Research Letters (2020) 91 (2A): 611–621.
..., educational seismometer program by installing Raspberry Shake geophones throughout the state at local schools, museums, libraries, and state parks. The seismic hazard of the state portends a continued need for expansion and densification of seismic monitoring throughout Oklahoma. The underlying...
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(a) Overview map of Samoa (west of International Date Line) and American Sa...
Published: 14 February 2025
a), and (c) Manu‘a Islands (red dashed box, panel b), labeled with island names and their approximate populations, and locations of broadband (black triangles) and Raspberry Shake RS4D (red triangles; Raspberry Shake, 2016 ) stations. ComCat ( U.S. Geological Survey [USGS], Earthquake Hazards Program, 2017
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Median signal‐to‐noise ratios (SNRs) for USGS aftershock deployments and Ra...
Published: 14 November 2018
Figure 7. Median signal‐to‐noise ratios (SNRs) for USGS aftershock deployments and Raspberry Shakes as a function of NEIC local magnitude estimates. Station distances of 20–40 km (large triangles) and 80–100 km (smaller triangles) from the event epicenters are plotted. An SNR of 2 (black line
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(a,b) Displacement, (c,d) velocity, and (e,f) acceleration amplitude and ph...
Published: 04 August 2021
that the amplitude responses to velocity of the Nanometrics Trillium Compact 120s seismometers and the Raspberry Shake 3D are flat, as is the response to acceleration of the Titan 1 g accelerometer.
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(a–d) The seismograms of Figure  2  after band‐pass filtering between 0.2 a...
Published: 04 August 2021
‐wave arrival, recorded by each instrument are emphasized in the zoomed‐in sections. Perhaps surprisingly, the Raspberry Shake 3D in (a) has the least pre‐event noise of all of the instruments shown. Annotations in the inset panels provide the arrival time and amplitude of the maximum of the first