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Invertebrata
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Coniferales (1)
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geochronology methods
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Primary terms
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Africa
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Nubian Shield (1)
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Arctic region
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Asia
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Tertiary
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middle Eocene
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Oceania
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Journal Article
Geophysical applications of magnetic sensors in smartphones
Journal: The Leading Edge
Publisher: Society of Exploration Geophysicists
Published: 01 May 2020
The Leading Edge (2020) 39 (5): 312–317.
...Nathan Campbell; Estella Atekwana; Adam J. Mathews; Ahmed Ismail Abstract More than 5 billion people have access to mobile phones globally. These devices, many of which are smartphones with multiple integrated sensors (e.g., global positioning system receiver, camera, etc.), provide a myriad...
Journal Article
The Importance of Smartphones as Public Earthquake-Information Tools and Tools for the Rapid Engagement with Eyewitnesses: A Case Study of the 2015 Nepal Earthquake Sequence
Journal: Seismological Research Letters
Publisher: Seismological Society of America
Published: 01 November 2015
Seismological Research Letters (2015) 86 (6): 1587–1592.
...Rémy Bossu; Maud Laurin; Gilles Mazet-Roux; Frédéric Roussel; Robert Steed Abstract This study investigates how people affected by the 2015 Ghorka earthquake sequence in Nepal have adopted and used the LastQuake smartphone application and associated Twitter robot, which offer rapid earthquake...
Includes: Supplemental Content
Journal Article
Crowdsourcing Felt Reports Using the MyShake Smartphone App
Qingkai Kong, Richard M. Allen, Steve Allen, Theron Bair, Akie Meja, Sarina Patel, Jennifer Strauss, Stephen Thompson
Journal: Seismological Research Letters
Publisher: Seismological Society of America
Published: 07 July 2023
Seismological Research Letters (2023) 94 (5): 2326–2336.
...Qingkai Kong; Richard M. Allen; Steve Allen; Theron Bair; Akie Meja; Sarina Patel; Jennifer Strauss; Stephen Thompson Abstract MyShake is a free citizen science smartphone app that provides a range of features related to earthquakes. Features available globally include rapid postearthquake...
Includes: Supplemental Content
Journal Article
Structural Health Monitoring of Buildings Using Smartphone Sensors
Journal: Seismological Research Letters
Publisher: Seismological Society of America
Published: 10 January 2018
Seismological Research Letters (2018) 89 (2A): 594–602.
...Qingkai Kong; Richard M. Allen; Monica D. Kohler; Thomas H. Heaton; Julian Bunn ABSTRACT This article presents the results of a shaker test of the Millikan Library in Pasadena, California, using sensors inside smartphones to demonstrate their potential usage as a way to monitor health states...
Includes: Supplemental Content
Journal Article
Ground‐Motion Modeling Using MyShake Smartphone Peak Acceleration Data
Publisher: Seismological Society of America
Published: 19 December 2024
Bulletin of the Seismological Society of America (2025) 115 (1): 86–105.
... intensity data or smartphone data, could prove essential. The predictive power of this nontraditional data for free‐field ground motion needs to be tested before these data are used. In this work, we present a new database of over 1600 ground‐shaking waveforms collected between 2019 and 2023 by the MyShake...
Includes: Supplemental Content
Journal Article
On the Feasibility of Using the Dense MyShake Smartphone Array for Earthquake Location
Journal: Seismological Research Letters
Publisher: Seismological Society of America
Published: 10 April 2019
Seismological Research Letters (2019) 90 (3): 1209–1218.
...Asaf Inbal; Qingkai Kong; William Savran; Richard M. Allen ABSTRACT MyShake is a growing smartphone‐based network for seismological research applications. We study how dense array analysis of the seismic wavefield recorded by smartphones may enhance microearthquake monitoring in urban environments...
Includes: Supplemental Content
Journal Article
Machine Learning Aspects of the MyShake Global Smartphone Seismic Network
Journal: Seismological Research Letters
Publisher: Seismological Society of America
Published: 05 December 2018
Seismological Research Letters (2019) 90 (2A): 546–552.
...Qingkai Kong; Asaf Inbal; Richard M. Allen; Qin Lv; Arno Puder ABSTRACT This article gives an overview of machine learning (ML) applications in MyShake—a crowdsourcing global smartphone seismic network. Algorithms from classification, regression, and clustering are used in the MyShake system...
Journal Article
A Probabilistic Framework for Modeling the Detection Capability of Smartphone Networks in Earthquake Early Warning
Journal: Seismological Research Letters
Publisher: Seismological Society of America
Published: 07 September 2022
Seismological Research Letters (2022) 93 (6): 3291–3307.
...Francesco Finazzi; István Bondár; Rémy Bossu; Robert Steed Abstract Earthquake early warning systems based on smartphone networks are emerging as complementary systems to the more expensive systems based on scientific‐grade instruments. Hence, there is a need to better understand their detection...
Journal Article
Assessing the Sensitivity and Accuracy of the MyShake Smartphone Seismic Network to Detect and Characterize Earthquakes
Journal: Seismological Research Letters
Publisher: Seismological Society of America
Published: 21 August 2019
Seismological Research Letters (2019) 90 (5): 1937–1949.
...Qingkai Kong; Sarina Patel; Asaf Inbal; Richard M. Allen Abstract MyShake harnesses private and personal smartphones to build a global seismic network. It uses the accelerometers embedded in all smartphones to record ground motions induced by earthquakes, returning recorded waveforms to a central...
Includes: Supplemental Content
Image
Spatial distribution of N =500 active smartphones considered in the simula...
in The Earthquake Network Project: Toward a Crowdsourced Smartphone‐Based Earthquake Early Warning System
> Bulletin of the Seismological Society of America
Published: 24 May 2016
Figure 4. Spatial distribution of N =500 active smartphones considered in the simulation study.The color version of this figure is available only in the electronic edition.
Image
Examples of augmented reality applications developed for smartphones.
in Efficient Management and Application of National Borehole Data in Korea
> Environmental & Engineering Geoscience
Published: 01 August 2013
Table 9. Examples of augmented reality applications developed for smartphones.
Journal Article
Smartphone: An alternative to ground control points for orienting virtual outcrop models and assessing their quality
Journal: Geosphere
Publisher: Geological Society of America
Published: 08 November 2019
Geosphere (2019) 15 (6): 2043–2052.
... models, which involves the use of photo orientation information recorded by smartphones. Photos captured with smartphones are used to: (1) build test models for evaluating the accuracy of the method, and (2) build smartphone-derived models of outcrops, used to reference higher-resolution models...
Includes: Supplemental Content
Journal Article
The Earthquake Network Project: Toward a Crowdsourced Smartphone‐Based Earthquake Early Warning System
Publisher: Seismological Society of America
Published: 24 May 2016
Bulletin of the Seismological Society of America (2016) 106 (3): 1088–1099.
...Figure 4. Spatial distribution of N =500 active smartphones considered in the simulation study.The color version of this figure is available only in the electronic edition. ...
Includes: Supplemental Content
Journal Article
Comparing Rock Discontinuity Measurements Using Geological Compass, Smartphone Application, and Laser Scanning Methods
Published: 01 May 2017
Environmental & Engineering Geoscience (2017) 23 (2): 97–112.
... discontinuity orientations using a Brunton compass to the more modern methods of measuring discontinuities using smartphone applications and ground-based light detection and ranging (LiDAR) laser scanning. The field site is a rock outcrop along Stroubles Road on Price Mountain, in Montgomery County, VA...
Image
Maps of the average probability of detection (left) and standard deviation ...
in A Probabilistic Framework for Modeling the Detection Capability of Smartphone Networks in Earthquake Early Warning
> Seismological Research Letters
Published: 07 September 2022
Figure 9. Maps of the average probability of detection (left) and standard deviation of the probability of detection (right) for Italy assuming M 5, 6, and 7 earthquakes at a depth of 10 km. The stars indicate locations of clusters of <100 smartphones, whereas the circles indicate clusters
Image
Maps of the average probability of detection (left) and standard deviation ...
in A Probabilistic Framework for Modeling the Detection Capability of Smartphone Networks in Earthquake Early Warning
> Seismological Research Letters
Published: 07 September 2022
Figure 7. Maps of the average probability of detection (left) and standard deviation of the probability of detection (right) for the United States assuming M 5, 6, and 7 earthquakes at a depth of 10 km. The stars indicate locations of clusters of <100 smartphones, whereas the circles
Image
Maps of the average probability of detection (left) and standard deviation ...
in A Probabilistic Framework for Modeling the Detection Capability of Smartphone Networks in Earthquake Early Warning
> Seismological Research Letters
Published: 07 September 2022
Figure 8. Maps of the average probability of detection (left) and standard deviation of the probability of detection (right) for Chile assuming M 5, 6, and 7 earthquakes at a depth of 10 km. The stars indicate locations of clusters of fewer than 100 smartphones, and the circles indicate
Image
Earthquake and smartphone spectra of (a,c) horizontal acceleration and (b,d...
in On the Feasibility of Using the Dense MyShake Smartphone Array for Earthquake Location
> Seismological Research Letters
Published: 10 April 2019
Figure 3. Earthquake and smartphone spectra of (a,c) horizontal acceleration and (b,d) velocity. Solid curves are averaged earthquake S ‐wave spectra recorded at epicentral distances smaller than (a,b) 5 km and (c,d) between 5 and 15 km. Light thick gray dashed curve is for the average
Image
Stacked histograms (detected events on top of the undetected events) of ear...
in A Probabilistic Framework for Modeling the Detection Capability of Smartphone Networks in Earthquake Early Warning
> Seismological Research Letters
Published: 07 September 2022
Figure 3. Stacked histograms (detected events on top of the undetected events) of earthquake intensities at the locations of the nearest smartphone clusters (with ≥10 smartphones) for the 10,153 earthquake events depicted in Figure 2 . The color version of this figure is available only
Journal Article
Toward Global Earthquake Early Warning with the MyShake Smartphone Seismic Network, Part 1: Simulation Platform and Detection Algorithm
Journal: Seismological Research Letters
Publisher: Seismological Society of America
Published: 27 May 2020
Seismological Research Letters (2020) 91 (4): 2206–2217.
...Qingkai Kong; Robert Martin‐Short; Richard M. Allen Abstract The MyShake project aims to build a global smartphone seismic network to facilitate large‐scale earthquake early warning and other applications by leveraging the power of crowdsourcing. The MyShake mobile application first detects...
Includes: Supplemental Content
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