Seismo-Acoustic Meteoroid Observation Recording Database (SMORD): A Global Dataset and Deep-Learning Phase Picker for Meteoroid-Generated Air-to-Ground Coupled Seismic Waves

Authors

DOI:

https://doi.org/10.26443/seismica.v5i2.2551

Keywords:

infrasound, seismology, deep learning, seismoacoustic, database

Abstract

Meteoroids impacting Earth's atmosphere generate acoustic waves that can couple into the ground and can be recorded by dense, globally distributed seismic networks. Thus, these records complement optical and radar observations, especially since seismic stations also operate in cloudy weather conditions and during daytime. However, open datasets that link meteoroid events to labeled seismic waveforms are scarce, limiting the development of automated detectors for meteoroid-induced seismo-acoustic signals. We introduce the Seismo-acoustic Meteoroid Observation Recording Database (SMORD), compiled by cross-referencing public meteoroid catalogs (International Meteor Organization fireball reports; NASA CNEOS fireball catalog) with seismic archives. Continuous waveforms are manually labeled for the first clear meteoroid-related onset of air-to-ground coupled seismic waves using a three-level pick-quality scheme. SMORD v1.0 contains 310 meteoroid events and 3,295 labeled arrivals across a global station set. Using SMORD labels, we train a PhaseNet picker in SeisBench with station-level splits and augmentation. On test data, the model achieves 91% precision and 94% recall at a 0.5 decision threshold (area-under-curve value 0.89), with median absolute timing error of 0.02~s (90% within c. ±0.3 s). We demonstrate automated onset detection and trajectory reconstruction for an April 2025 Adriatic fireball, highlighting the values of SMORD for rapid post-event analysis.

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AV: Alaska Volcano Observatory/USGS. (1988). Alaska Volcano Observatory [Data set]. International Federation of Digital Seismograph Networks. https://doi.org/10.7914/SN/AV

AZ: Frank Vernon. (1982). ANZA Regional Network [Data set]. International Federation of Digital Seismograph Networks. https://doi.org/10.7914/SN/AZ

BC: Centro de Investigación Científica y de Educación Superior de Ensenada (CICESE), Ensenada. (1980). Red Sísmica del Noroeste de México [Data set]. International Federation of Digital Seismograph Networks. https://doi.org/10.7914/SN/BC

BE: Royal Observatory of Belgium. (1985). Belgian Seismic Network [Data set]. International Federation of Digital Seismograph Networks. https://doi.org/10.7914/SN/BE

BK: Northern California Earthquake Data Center. (2014). Berkeley Digital Seismic Network (BDSN) [Data set]. Northern California Earthquake Data Center. https://doi.org/10.7932/BDSN

BN: Blacknest. (1960). UK-Net, Blacknest Array [Data set]. International Federation of Digital Seismograph Networks. https://doi.org/10.7914/nz1t-5w85

BQ: Department of Geosciences, Bensberg Observatory, University of Cologne. (2016). Bensberg Earthquake Network [Data set]. International Federation of Digital Seismograph Networks. https://doi.org/10.7914/SN/BQ

BX: Botswana Geoscience Institute. (2001). Botswana Seismological Network [Data set]. International Federation of Digital Seismograph Networks. https://doi.org/10.7914/SN/BX

C0: Colorado Geological Survey. (2016). Colorado Geological Survey Seismic Network [Data set]. International Federation of Digital Seismograph Networks. https://doi.org/10.7914/SN/C0

C1: Universidad de Chile. (2012). Red Sismologica Nacional [Data set]. International Federation of Digital Seismograph Networks. https://doi.org/10.7914/SN/C1

C8: Geological Survey of Canada. (2002). Canadian Seismic Research Network [Data set]. Natural Resources Canada. https://doi.org/10.7914/601s-ak68

CA: Institut Cartogràfic i Geològic de Catalunya. (1984). Catalan Seismic Network [Data set]. International Federation of Digital Seismograph Networks. https://doi.org/10.7914/SN/CA

CC: Cascades Volcano Observatory/USGS. (2001). Cascade Chain Volcano Monitoring [Data set]. International Federation of Digital Seismograph Networks. https://doi.org/10.7914/SN/CC

CH: Swiss Seismological Service (SED) At ETH Zurich. (1983). National Seismic Networks of Switzerland. ETH Zürich. https://doi.org/10.12686/sed/networks/ch

CI: California Institute of Technology and United States Geological Survey Pasadena. (1926). Southern California Seismic Network [Data set]. International Federation of Digital Seismograph Networks. https://doi.org/10.7914/SN/CI

CN: Natural Resources Canada. (1975). Canadian National Seismograph Network [Data set]. Natural Resources Canada. https://doi.org/10.7914/SN/CN

CO: University of South Carolina. (1987). South Carolina Seismic Network [Data set]. International Federation of Digital Seismograph Networks. https://doi.org/10.7914/SN/CO

CW: National Centre for Seismological Research (CENAIS Cuba). (1998). Servicio Sismologico Nacional de Cuba [Data set]. International Federation of Digital Seismograph Networks. https://doi.org/10.7914/SN/CW

CY: Cayman Islands Government (2006). Cayman Islands [Data set]. Cayman Islands Government, Cayman Islands

CZ: Charles University in Prague, Institute of Geonics, Institute of Geophysics, Academy of Sciences of the Czech Republic, Institute of Physics of the Earth Masaryk University, & Institute of Rock Structure and Mechanics. (1973). Czech Regional Seismic Network [Data set]. International Federation of Digital Seismograph Networks. https://doi.org/10.7914/SN/CZ

DK: GEUS Geological Survey of Denmark and Greenland. (1976). Danish Seismological Network [Data set]. International Federation of Digital Seismograph Networks. https://doi.org/10.7914/nw3x-df02

EI: Dublin Institute for Advanced Studies. (1993). Irish National Seismic Network [Data set]. International Federation of Digital Seismograph Networks. https://doi.org/10.7914/SN/EI

ET: University of Memphis, CERI (1982). CERI Southern Appalachian Seismic Network [Data set]. University of Memphis, CERI, United States of America

FR: Epos-France. (1962). Epos-France Broad-band network (RLBP) [Data set]. Epos-France Seismological Data Center. https://doi.org/10.15778/RESIF.FR

G: Institut de physique du globe de Paris (IPGP) & École et Observatoire des sciences de la Terre de Strasbourg (EOST). (1982). GEOSCOPE, French Global Network of broad band seismic stations. Institut de physique du globe de Paris, Université Paris Cité. https://doi.org/10.18715/GEOSCOPE.G

GB: British Geological Survey. (1970). Great Britain Seismograph Network [Data set]. International Federation of Digital Seismograph Networks. https://doi.org/10.7914/av8j-nc83

GE: GEOFON Data Centre. (1993). GEOFON Seismic Network [Data set]. GFZ Data Services. https://doi.org/10.14470/TR560404

GM: U.S. Geological Survey. (2016). U.S. Geological Survey Networks [Data set]. International Federation of Digital Seismograph Networks. https://doi.org/10.7914/SN/GM

GR: Federal Institute for Geosciences and Natural Resources. (1976). German Regional Seismic Network (GRSN). Bundesanstalt für Geowissenschaften und Rohstoffe. https://doi.org/10.25928/mbx6-hr74

GS: Albuquerque Seismological Laboratory (ASL)/USGS. (1980). US Geological Survey Networks [Data set]. International Federation of Digital Seismograph Networks. https://doi.org/10.7914/SN/GS

GU: University of Genoa. (1967). Regional Seismic Network of North Western Italy [Data set]. International Federation of Digital Seismograph Networks. https://doi.org/10.7914/SN/GU

HS: Hessian Agency for Nature Conservation, Environment and Geology. (2012). Hessischer Erdbebendienst [Data set]. International Federation of Digital Seismograph Networks. https://doi.org/10.7914/SN/HS

II: EarthScope Consortium. (1986). Global Seismograph Network - II [Data set]. International Federation of Digital Seismograph Networks. https://doi.org/10.7914/SN/II

IM: Various Institutions. (1965). International Miscellaneous Stations [Data set]. International Federation of Digital Seismograph Networks. https://doi.org/10.7914/vefq-vh75

IU: Albuquerque Seismological Laboratory/USGS. (1988). Global Seismograph Network (GSN - IRIS/USGS) [Data set]. International Federation of Digital Seismograph Networks. https://doi.org/10.7914/SN/IU

IV: Istituto Nazionale di Geofisica e Vulcanologia (INGV). (2005). Rete Sismica Nazionale (RSN) [Data set]. Istituto Nazionale di Geofisica e Vulcanologia (INGV). https://doi.org/10.13127/sd/x0fxnh7qfy DOI: https://doi.org/10.13127/SD/X0FXNH7QFY

IW: Albuquerque Seismological Laboratory (ASL)/USGS. (2003). Intermountain West Seismic Network [Data set]. International Federation of Digital Seismograph Networks. https://doi.org/10.7914/SN/IW

KB: Karlsruhe Institute of Technology (KIT GPI) (2003). Karlsruhe Broadband Array (KABBA) [Data set]. Karlsruhe Institute of Technology (KIT GPI), Germany.

KY: Kentucky Geological Survey/Univ. of Kentucky. (1982). Kentucky Seismic and Strong Motion Network [Data set]. International Federation of Digital Seismograph Networks. https://doi.org/10.7914/SN/KY

KZ: KNDC/Institute of Geophysical Research (Kazakhstan). (1994). Kazakhstan Network [Data set]. International Federation of Digital Seismograph Networks. https://doi.org/10.7914/SN/KZ

LB: Sandia National Laboratories (1994). Leo Brady Network (LB) [Data set]. Sandia National Laboratories, United States of America.

LC: Laboratorio Subterraneo de Canfranc. (2011). LSC (Laboratorio Subterraneo Canfranc) [Data set]. International Federation of Digital Seismograph Networks. https://doi.org/10.7914/SN/LC

LD: Lamont Doherty Earth Observatory (LDEO), Columbia University. (1970). Lamont-Doherty Cooperative Seismographic Network [Data set]. International Federation of Digital Seismograph Networks. https://doi.org/10.7914/SN/LD

LE: Erdbebendienst Südwest Baden-Württemberg and Rheinland-Pfalz. (2009). Erdbebendienst Südwest [Data set]. International Federation of Digital Seismograph Networks. https://doi.org/10.7914/SN/LE

LM: Michigan State University (MSU, Michigan USA). (2016). Michigan State University Seismic Network [Data set]. International Federation of Digital Seismograph Networks. https://doi.org/10.7914/SN/LM

MB: Montana Bureau of Mines and Geology/Montana Tech (MBMG, MT USA). (1982). Montana Regional Seismic Network [Data set]. International Federation of Digital Seismograph Networks. https://doi.org/10.7914/SN/MB

MN: MedNet Project Partner Institutions. (1990). Mediterranean Very Broadband Seismographic Network (MedNet) [Data set]. Istituto Nazionale di Geofisica e Vulcanologia (INGV). https://doi.org/10.13127/sd/fbbbtdtd6q

MT: Observatoire Multidisciplinaire des Instabilités de Versant. (2006). Observatoire Multi-disciplinaire des Instabilités de Versants (OMIV) [Data set]. RESIF - Réseau Sismologique et géodésique Français. https://doi.org/10.15778/RESIF.MT

MU: Miami University, Ohio (2005). Miami University Seismic Network [Data set]. Miami University, Ohio, United States of America.

N4: Albuquerque Seismological Laboratory/USGS. (2013). Central and Eastern US Network [Data set]. International Federation of Digital Seismograph Networks. https://doi.org/10.7914/SN/N4

NE: Albuquerque Seismological Laboratory (ASL)/USGS. (1994). New England Seismic Network [Data set]. International Federation of Digital Seismograph Networks. https://doi.org/10.7914/SN/NE

NH: Geological Survey of North Rhine - Westphalia. (2015). Geological Survey of North Rhine - Westphalia [Data set]. International Federation of Digital Seismograph Networks. https://doi.org/10.7914/pz2d-8r35

NI: Istituto Nazionale di Oceanografia e di Geofisica Sperimentale & University of Trieste. (2002). North-East Italy Broadband Network [Data set]. International Federation of Digital Seismograph Networks. https://doi.org/10.7914/SN/NI

NL: KNMI. (1993). Netherlands Seismic and Acoustic Network. Royal Netherlands Meteorological Institute (KNMI). https://doi.org/10.21944/e970fd34-23b9-3411-b366-e4f72877d2c5

NM: University of Memphis, CERI (1977). Cooperative New Madrid Seismic Network [Data set]. University of Memphis, United States of America.

NN: University of Nevada, Reno. (1971). Nevada Seismic Network [Data set]. International Federation of Digital Seismograph Networks. https://doi.org/10.7914/SN/NN

NP: U.S. Geological Survey. (1931). United States National Strong-Motion Network [Data set]. International Federation of Digital Seismograph Networks. https://doi.org/10.7914/SN/NP

NR: Utrecht University (UU Netherlands). (1983). NARS [Data set]. International Federation of Digital Seismograph Networks. https://doi.org/10.7914/SN/NR

NV: Ocean Networks Canada. (2009). NEPTUNE seismic stations [Data set]. International Federation of Digital Seismograph Networks. https://doi.org/10.7914/SN/NV

NW: Northwestern University (2011). Northwestern University Seismic Network [Data set]. Northwestern University, United States of America.

NX: Nanometrics Seismological Instruments. (2013). Nanometrics Research Network [Data set]. International Federation of Digital Seismograph Networks. https://doi.org/10.7914/SN/NX

NZ: GNS Science. (2021). GeoNet Aotearoa New Zealand Seismic Digital Waveform Dataset [Data set]. GNS Science. https://doi.org/10.21420/G19Y-9D40

O2: Oklahoma Geological Survey. (2018). Oklahoma Consolidated Temporary Seismic Networks [Data set]. International Federation of Digital Seismograph Networks. https://doi.org/10.7914/SN/O2

OE: ZAMG - Zentralanstalt für Meterologie und Geodynamik. (1987). Austrian Seismic Network [Data set]. International Federation of Digital Seismograph Networks. https://doi.org/10.7914/SN/OE

OH: Ohio Geological Survey. (1999). Ohio Seismic Network [Data set]. International Federation of Digital Seismograph Networks. https://doi.org/10.7914/SN/OH

OX: Istituto Nazionale di Oceanografia e di Geofisica Sperimentale - OGS. (2016). North-East Italy Seismic Network [Data set]. FDSN. https://doi.org/10.7914/SN/OX

PB: UNAVCO (2004). Plate Boundary Observatory Borehole Seismic Network (PBO) [Data set]. UNAVCO, United States of America.

PE: Penn State University. (2004). Pennsylvania State Seismic Network [Data set]. International Federation of Digital Seismograph Networks. https://doi.org/10.7914/SN/PE

PF: Observatoire Volcanologique Du Piton De La Fournaise (OVPF) & Institut De Physique Du Globe De Paris (IPGP). (2008). Seismic, tiltmeter, extensometer, magnetic and weather permanent networks on Piton de la Fournaise volcano and La Réunion. Institut de physique du globe de Paris (IPGP), Université de Paris. https://doi.org/10.18715/reunion.PF

PM: Instituto Português do Mar e da Atmosfera, I.P. (2006). Portuguese National Seismic Network [Data set]. International Federation of Digital Seismograph Networks. https://doi.org/10.7914/SN/PM

PN: Indiana University Bloomington (IU Bloomington) (1998). PEPP-Indiana [Data set]. Indiana University Bloomington (IU Bloomington), United States of America.

PO: Geological Survey of Canada. (2000). Portable Observatories for Lithospheric Analysis and Research Investigating Seismicity [Data set]. Natural Resources Canada . https://doi.org/10.7914/h981-v432

PR: University of Puerto Rico. (1986). Puerto Rico Seismic Network & Puerto Rico Strong Motion Program [Data set]. International Federation of Digital Seismograph Networks. https://doi.org/10.7914/SN/PR

PS: University of Tokio, Earthquake Research Institute (ERI) (1989). Pacific21 [Data set]. University of Tokyo, Earthquake Research Institute (ERI), Japan.

PY: Frank Vernon. (2014). Piñon Flats Observatory Array [Data set]. International Federation of Digital Seismograph Networks. https://doi.org/10.7914/SN/PY

RD: RESIF. (2018). CEA/DASE broad-band permanent network in metropolitan France [Data set]. RESIF - Réseau Sismologique et géodésique Français. https://doi.org/10.15778/RESIF.RD

RE: U.S. State Department (1985). US Bureau of Reclamation Seismic Networks [Data set]. U.S. State Department, United States of America.

RN: Ruhr University Bochum. (2007). RuhrNet - Seismic Network of the Ruhr-University Bochum [Data set]. Federal Institute for Geosciences and Natural Resources (BGR, Germany). https://doi.org/10.7914/SN/RN

RO: National Institute for Earth Physics. (1994). Romanian Seismic Network [Data set]. International Federation of Digital Seismograph Networks. https://doi.org/10.7914/SN/RO

RV: Alberta Geological Survey / Alberta Energy Regulator. (2013). Regional Alberta Observatory for Earthquake Studies Network [Data set]. International Federation of Digital Seismograph Networks. https://doi.org/10.7914/SN/RV

S1: Michelle Salmon, Natalie Balfour, Malcolm Sambridge, Sima Mousavi, & Robert Pickle. (2011). Australian Seismometers in Schools [Data set]. AusPass. https://doi.org/10.7914/SN/S1

SC: New Mexico Tech. (1999). New Mexico Tech Seismic Network [Data set]. International Federation of Digital Seismograph Networks. https://doi.org/10.7914/0abk-1345

SE: Southeastern Appalachian Cooperative Seismic Network (1999). Southeastern Appalachian Cooperative Seismic Network [Data set].

SN: University of Nevada, Reno. (1992). Southern Great Basin Network [Data set]. International Federation of Digital Seismograph Networks. https://doi.org/10.7914/SN/SN

SS: Incorporated Research Institutions For Seismology. (1970). SINGLE STATION [Data set]. International Federation of Digital Seismograph Networks. https://doi.org/10.7914/SN/SS

ST: Geological Survey-Provincia Autonoma di Trento. (1981). Trentino Seismic Network [Data set]. International Federation of Digital Seismograph Networks. https://doi.org/10.7914/SN/ST

TA: IRIS Transportable Array. (2003). USArray Transportable Array [Data set]. International Federation of Digital Seismograph Networks. https://doi.org/10.7914/SN/TA

TD: TransAlta Corporation (2013). TransAlta Monitoring Network [Data set]. TransAlta Corporation, Canada

TH: Institut fuer Geowissenschaften, Friedrich-Schiller-Universitaet Jena. (2009). Thüringer Seismologisches Netz [Data set]. International Federation of Digital Seismograph Networks. https://doi.org/10.7914/SN/TH

TM: Pornsopin, P., Pananont, P., Furlong, K. P., & Sandvol, E. (2023). Sensor orientation of the TMD seismic network (Thailand) from P-wave particle motions. Geoscience Letters, 10(1). https://doi.org/10.1186/s40562-023-00278-7 DOI: https://doi.org/10.1186/s40562-023-00278-7

TX: Bureau of Economic Geology, The University of Texas at Austin. (2016). Texas Seismological Network [Data set]. International Federation of Digital Seismograph Networks. https://doi.org/10.7914/SN/TX

UK: University of Leicester (SEIS UK) (2005). UK Schools Seismic Network [Data set]. University of Leicester (SEIS UK), United Kingdom.

UO: University of Oregon. (1990). Pacific Northwest Seismic Network - University of Oregon [Data set]. International Federation of Digital Seismograph Networks. https://doi.org/10.7914/SN/UO

US: Albuquerque Seismological Laboratory (ASL)/USGS. (1990). United States National Seismic Network [Data set]. International Federation of Digital Seismograph Networks. https://doi.org/10.7914/SN/US

UU: University of Utah. (1962). University of Utah Regional Seismic Network [Data set]. International Federation of Digital Seismograph Networks. https://doi.org/10.7914/SN/UU

UW: University of Washington. (1963). Pacific Northwest Seismic Network - University of Washington [Data set]. International Federation of Digital Seismograph Networks. https://doi.org/10.7914/SN/UW

WA: Universidad Nacional de San Juan (UNSJ) (1958). West Central Argentina Network [Data set]. Universidad Nacional de San Juan (UNSJ), Argentina.

X4: Jay Pulliam. (2010). Texas Gulf Coastal Plain, USA [Data set]. International Federation of Digital Seismograph Networks. https://doi.org/10.7914/SN/X4_2010

XA: Karen Fischer & Michael Wysession. (1995). Missouri to Massachusetts Array [Data set]. International Federation of Digital Seismograph Networks. https://doi.org/10.7914/SN/XA_1995

XB: Alan Levander, Gene Humphreys, & Pat Ryan. (2009). Program to Investigate Convective Alboran Sea System Overturn [Data set]. International Federation of Digital Seismograph Networks. https://doi.org/10.7914/SN/XB_2009

XD: Simon Klemperer. (2011). Passive seismic study of a magma-dominated rift: the Salton Trough [Data set]. International Federation of Digital Seismograph Networks. https://doi.org/10.7914/SN/XD_2011

XI: Suzan van der Lee, Douglas Wiens, Justin Revenaugh, Andrew Frederiksen, & Fiona Darbyshire. (2011). Superior Province Rifting Earthscope Experiment [Data set]. International Federation of Digital Seismograph Networks. https://doi.org/10.7914/SN/XI_2011

XJ: Steve Roecker. (1995). Adirondack Broadband Campaign [Data set]. International Federation of Digital Seismograph Networks. https://doi.org/10.7914/SN/XJ_1995

XO: Gary Pavlis & Hersh Gilbert. (2011). Ozark Illinois Indiana Kentucky (OIINK) Flexible Array Experiment [Data set]. International Federation of Digital Seismograph Networks. https://doi.org/10.7914/SN/XO_2011

XP: Maureen D. Long. (2015). Seismic Experiment for Imaging Structure beneath Connecticut [Data set]. International Federation of Digital Seismograph Networks. https://doi.org/10.7914/SN/XP_2015

XU: Anne Sheehan. (2016). USGS NEHRP Proposal 2016-0180 - Greeley [Data set]. International Federation of Digital Seismograph Networks. https://doi.org/10.7914/SN/XU_2016

XY: Penn State University (2013). PASEIS [Data set]. Penn State University, United States of America.

Y3: Lara Wagner & Diana Roman. (2017). Delaware 2017 Aftershock Study [Data set]. International Federation of Digital Seismograph Networks. https://doi.org/10.7914/SN/Y3_2017

Y5: University of Alberta (2006). Canadian Rockies and Alberta Network [Data set]. University of Alberta, Canada.

Y7: Nori Nakata. (2016). Acquisition of aftershock sequence of the 2016 M5.6 Sooner Lake Earthquake [Data set]. International Federation of Digital Seismograph Networks. https://doi.org/10.7914/SN/Y7_2016

YB: Whitney Behr, Thorsten Becker, & Vera Schulte-Pelkum. (2018). Deep Fault Structure Beneath the Mojave from a High Density, Passive Seismic Profile [Data set]. International Federation of Digital Seismograph Networks. https://doi.org/10.7914/SN/YB_2018

YD: University of Leeds (2009). South Carpathian Project [Data set]. University of Leeds, United Kingdom.

YH: Trenton Cladouhos. (2016). Play Fairway Analysis - Passive monitoring of St. Helens Shear zone for tomography and precision microseismicity [Data set]. International Federation of Digital Seismograph Networks. https://doi.org/10.7914/SN/YH_2016

YN: Frank Vernon & Yehuda BenZion. (2010). San Jacinto Fault Zone Experiment [Data set]. International Federation of Digital Seismograph Networks. https://doi.org/10.7914/SN/YN_2010

YO: Jim Gaherty. (2014). Eastern North American Margin Community Seismic Experiment [Data set]. International Federation of Digital Seismograph Networks. https://doi.org/10.7914/SN/YO_2014

YU: Matthew Pritchard & Geoffrey Abers. (2019). Cornell University Earth Source Heat seismic network [Data set]. International Federation of Digital Seismograph Networks. https://doi.org/10.7914/SN/YU_2019

YV: Barruol, G., Sigloch, K., RHUM-RUM Group, & RESIF. (2017). RHUM-RUM experiment, 2011-2015, code YV (Réunion Hotspot and Upper Mantle – Réunion’s Unterer Mantel) funded by ANR, DFG, CNRS-INSU, IPEV, TAAF, instrumented by DEPAS, INSU-OBS, AWI and the Universities of Muenster, Bonn, La Réunion [Data set]. RESIF - Réseau Sismologique et géodésique Français. https://doi.org/10.15778/RESIF.YV2011

YX: Brandon Schmandt. (2016). Raton Basin UNM Broadband Network [Data set]. International Federation of Digital Seismograph Networks. https://doi.org/10.7914/SN/YX_2016

Z3: AlpArray Seismic Network. (2015). AlpArray Seismic Network (AASN) temporary component. AlpArray Working Group. https://doi.org/10.12686/alparray/z3_2015

Z4: Beucler, E., Bonnin, M., Zigone, D., RESIF, & Epos-France. (2024). Post-seismic deployment following the La Laigne, Ml4.9 earthquake that occurred on Friday June 16 in western France, France (RESIF-SISMOB) [Data set]. Epos-France Seismological Data Center. https://doi.org/10.15778/RESIF.Z42023

Z9: Karen M. Fischer, Robert B. Hawman, & Lara S. Wagner. (2010). Southeastern Suture of the Appalachian Margin Experiment [Data set]. International Federation of Digital Seismograph Networks. https://doi.org/10.7914/SN/Z9_2010

ZC: Jay Pulliam. (2013). Greater Antilles Seismic Program [Data set]. International Federation of Digital Seismograph Networks. https://doi.org/10.7914/SN/ZC_2013

ZD: Amberlee Darold. (2014). 4D Integrated Study Using Geology, Geophysics, Reservoir Modeling & Rock Mechanics to Develop Assessment Models for Potential In [Data set]. International Federation of Digital Seismograph Networks. https://doi.org/10.7914/SN/ZD_2014

ZL: Charles Langston, Heather DeShon, Christine Powell, Stephen Horton, Charles Ammon, Robert Herrmann, & William Thomas. (2011). Northern Embayment Lithospheric Experiment [Data set]. International Federation of Digital Seismograph Networks. https://doi.org/10.7914/SN/ZL_2011

ZP: Jefferson Chang. (2016). Seismic Investigation of South Central Oklahoma [Data set]. International Federation of Digital Seismograph Networks. https://doi.org/10.7914/SN/ZP_2016

ZS: Heit, B., Weber, M., Tilmann, F., Haberland, C., Jia, Y., Carraro, C., Walcher, G., Franceschini, A., & Pesaresi, D. (2017). The Swath-D Seismic Network in Italy and Austria [Data set]. GFZ Data Services. https://doi.org/10.14470/MF7562601148

ZW: Heather DeShon, Chris Hayward, Brian Stump, M. Beatrice Magnani, & Matthew Hornbach. (2013). North Texas Earthquake Study: Azle and Irving/Dallas [Data set]. International Federation of Digital Seismograph Networks. https://doi.org/10.7914/SN/ZW_2013

Software References:

InfraGA/GeoAc: Blom, P. (2014). “Infraga/geoac,” https://github.com/LANL-Seismoacoustics/infraGA (Last viewed March 09, 2025).

NCPAG2S-CLC: Hetzer, C.H. (2024). “The NCPAG2S Command-Line Client”. https://github.com/chetzer-ncpa/ncpag2s-clc. https://doi.org/10.5281/zenodo.13345069.

ObsPy: Beyreuther, M., Barsch, R., Krischer, L., Megies, T., Behr, Y., & Wassermann, J. (2010). ObsPy: A Python toolbox for seismology. Seismological Research Letters, 81(3), 530-533. DOI: https://doi.org/10.1785/gssrl.81.3.530

SeisBench: Woollam, J., Münchmeyer, J., Tilmann, F., Rietbrock, A., Lange, D., Bornstein, T., ... & Soto, H. (2022). SeisBench—A toolbox for machine learning in seismology. Seismological Society of America, 93(3), 1695-1709. DOI: https://doi.org/10.1785/0220210324

PyGMT: Uieda, L., Tian, D., Leong, W. J., Toney, L., Schlitzer, W., Grund, M., Newton, D., Ziebarth, M., Jones, M., Wessel, P. (2021). PyGMT: A Python interface for the generic mapping tools. https://doi.org/10.5281/ZENODO.4522136

PySwarms: Miranda L.J., (2018). PySwarms: a research toolkit for Particle Swarm Optimization in Python. Journal of Open Source Software, 3(21), 433, https://doi.org/10.21105/joss.00433 DOI: https://doi.org/10.21105/joss.00433

PyTorch: Paszke, A., Gross, S., Massa, F., Lerer, A., Bradbury, J., Chanan, G., ... & Chintala, S. (2019). Pytorch: An imperative style, high-performance deep learning library. Advances in neural information processing systems, 32.

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Published

2026-07-03

How to Cite

Eickhoff, D., Ostermeier, R., & Ritter, J. (2026). Seismo-Acoustic Meteoroid Observation Recording Database (SMORD): A Global Dataset and Deep-Learning Phase Picker for Meteoroid-Generated Air-to-Ground Coupled Seismic Waves. Seismica, 5(2). https://doi.org/10.26443/seismica.v5i2.2551

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