[{"awards": "1914698 Hansen, Samantha", "bounds_geometry": ["POLYGON((148 -71.5,150.4 -71.5,152.8 -71.5,155.2 -71.5,157.6 -71.5,160 -71.5,162.4 -71.5,164.8 -71.5,167.2 -71.5,169.6 -71.5,172 -71.5,172 -72.15,172 -72.8,172 -73.45,172 -74.1,172 -74.75,172 -75.4,172 -76.05,172 -76.7,172 -77.35,172 -78,169.6 -78,167.2 -78,164.8 -78,162.4 -78,160 -78,157.6 -78,155.2 -78,152.8 -78,150.4 -78,148 -78,148 -77.35,148 -76.7,148 -76.05,148 -75.4,148 -74.75,148 -74.1,148 -73.45,148 -72.8,148 -72.15,148 -71.5))"], "date_created": "Wed, 24 Jan 2024 00:00:00 GMT", "description": "As seismic data availability increases, the necessity for automated processing techniques has become increasingly evident. Expanded geophysical datasets collected over the past several decades across Antarctica provide excellent resources to evaluate different event detection approaches. We have used the traditional Short-Term Average/Long-Term Average (STA/LTA) algorithm to catalogue seismic data recorded by 19 stations in East Antarctica between 2012 and 2015. However, the complexities of the East Antarctic dataset, including low magnitude events and phenomena such as icequakes, warrant more advanced automated detection techniques. Therefore, we have also applied template matching as well as several deep learning algorithms, including Generalized Phase Detection (GPD), PhaseNet, BasicPhaseAE, and EQTransformer (EQT), to identify seismic phases within our dataset. Our goal was not only to increase the volume of detectable seismic events but also to gain insights into the effectiveness of these different automated approaches. Our assessment evaluated the completeness of the newly generated catalogs, the precision of identified event locations, and the quality of the picks. The final events corresponding to each of our three catalogs (based on STA/LTA, template matching, and machine learning, respectively) are listed in the provided files.", "east": 172.0, "geometry": ["POINT(160 -74.75)"], "keywords": "Antarctica; Geoscientificinformation; Machine Learning; Seismic Event Detection; Seismology; Seismometer", "locations": "Antarctica", "north": -71.5, "nsf_funding_programs": "Antarctic Earth Sciences", "persons": "Hansen, Samantha; Ho, Long; Walter, Jacob", "project_titles": "Collaborative Research: Resolving earth structure influence on ice-sheet stability in the Wilkes\r\nSubglacial Basin (RESISSt)", "projects": [{"proj_uid": "p0010204", "repository": "USAP-DC", "title": "Collaborative Research: Resolving earth structure influence on ice-sheet stability in the Wilkes\r\nSubglacial Basin (RESISSt)"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -78.0, "title": "East Antarctic Seismicity from different Automated Event Detection Algorithms", "uid": "601762", "west": 148.0}, {"awards": "1643795 Mikesell, Thomas", "bounds_geometry": ["POLYGON((-134.5 -75,-130.85 -75,-127.2 -75,-123.55 -75,-119.9 -75,-116.25 -75,-112.6 -75,-108.95 -75,-105.3 -75,-101.65 -75,-98 -75,-98 -75.85,-98 -76.7,-98 -77.55,-98 -78.4,-98 -79.25,-98 -80.1,-98 -80.95,-98 -81.8,-98 -82.65,-98 -83.5,-101.65 -83.5,-105.3 -83.5,-108.95 -83.5,-112.6 -83.5,-116.25 -83.5,-119.9 -83.5,-123.55 -83.5,-127.2 -83.5,-130.85 -83.5,-134.5 -83.5,-134.5 -82.65,-134.5 -81.8,-134.5 -80.95,-134.5 -80.1,-134.5 -79.25,-134.5 -78.4,-134.5 -77.55,-134.5 -76.7,-134.5 -75.85,-134.5 -75))"], "date_created": "Fri, 15 Jan 2021 00:00:00 GMT", "description": "This data set includes observations of Rayleigh and Love wave group and phase velocity dispersion curves from ambient noise crosscorrelation functions. The data set includes the corresponding shear wave velocity model produced by joint inversion of these dispersion curves. This investigators developed a new crust and upper mantle model directly beneath the seismic stations used in this study. Data are in NetCDF and GeoCSV formats. The Python code used to generate the NetCDF files from the GeoCSV files is also contained in the data set.", "east": -98.0, "geometry": ["POINT(-116.25 -79.25)"], "keywords": "Antarctica; Crust; Moho; Seismic Tomography; Seismology; Seismometer; Shear Wave Velocity; Surface Wave Dispersion; West Antarctica", "locations": "Antarctica; West Antarctica", "north": -75.0, "nsf_funding_programs": "Antarctic Earth Sciences", "persons": "Mikesell, Dylan", "project_titles": "Collaborative Research: Monitoring Antarctic Ice Sheet Changes with Ambient Seismic Noise Methods", "projects": [{"proj_uid": "p0010155", "repository": "USAP-DC", "title": "Collaborative Research: Monitoring Antarctic Ice Sheet Changes with Ambient Seismic Noise Methods"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": "POLENET", "south": -83.5, "title": "2D shear-wave velocity model across the West Antarctic Rift System from POLENET-ANET seismic data", "uid": "601423", "west": -134.5}, {"awards": "0229546 MacAyeal, Douglas", "bounds_geometry": ["POINT(168 -77)"], "date_created": "Wed, 01 Oct 2008 00:00:00 GMT", "description": "Seismometers were placed on a 25 km by 50 km iceberg called C16 in the Ross Sea, Antarctica, to identify the Iceberg harmonic Tremor (IHT) source mechanism and to understand the relevance of IHT to iceberg calving, drift and break-up. The seismic observations reveal that the IHT signal consists of extended episodes of stick-slip icequakes (typically thousands per hour) generated when the ice-cliff edges of two tabular icebergs rub together during glancing, strike/slip type iceberg collisions (e.g., between C16 and B15A). With the source mechanism revealed, IHT may provide a promising signal useful for the study of iceberg behavior and iceberg-related processes such as climate-induced ice-shelf disintegration.\n\nHere, a single day of seismometer data for a single station on iceberg C16 is provided as an example of \"a day in the life of an iceberg\" for use by scientists and students wishing to know more about IHT. The station data is from C16 \"B\" site on C16\u0027s northeast corner, and the day is 27 December, 2003, a day when B15A struck C16 and caused an episode of tremor that was particularly easy to identify and understand. \n\nThis represents only a small fraction of the total data that exist for the seismic program on iceberg C16. The full data are archived at the IRIS data center (where seismic data is commonly archived). This one-day data set is to provide glaciologists with ready access to a good example of IHT that they can use for teaching and for demonstration purposes. Data are available in comma-delimited ASCII format and Matlab native mat files. Data are available via FTP.", "east": 168.0, "geometry": ["POINT(168 -77)"], "keywords": "Geology/Geophysics - Other; Glaciology; Iceberg; Oceans; Ross Sea; Sea Ice; Seismometer; Southern Ocean", "locations": "Ross Sea; Southern Ocean", "north": -77.0, "nsf_funding_programs": "Antarctic Glaciology", "persons": "Okal, Emile; Aster, Richard; Bassis, Jeremy; MacAyeal, Douglas", "project_titles": "Collaborative Research of Earth\u0027s Largest Icebergs", "projects": [{"proj_uid": "p0000117", "repository": "USAP-DC", "title": "Collaborative Research of Earth\u0027s Largest Icebergs"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -77.0, "title": "Iceberg Harmonic Tremor, Seismometer Data, Antarctica", "uid": "609349", "west": 168.0}]

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Dataset Title/Abstract/Map	NSF Award(s)	Date Created	PIs / Scientists	Project Links	Abstract	Bounds Geometry	Geometry	Selected	Visible
East Antarctic Seismicity from different Automated Event Detection Algorithms	1914698	2024-01-24	Hansen, Samantha; Ho, Long; Walter, Jacob	Collaborative Research: Resolving earth structure influence on ice-sheet stability in the Wilkes Subglacial Basin (RESISSt)	As seismic data availability increases, the necessity for automated processing techniques has become increasingly evident. Expanded geophysical datasets collected over the past several decades across Antarctica provide excellent resources to evaluate different event detection approaches. We have used the traditional Short-Term Average/Long-Term Average (STA/LTA) algorithm to catalogue seismic data recorded by 19 stations in East Antarctica between 2012 and 2015. However, the complexities of the East Antarctic dataset, including low magnitude events and phenomena such as icequakes, warrant more advanced automated detection techniques. Therefore, we have also applied template matching as well as several deep learning algorithms, including Generalized Phase Detection (GPD), PhaseNet, BasicPhaseAE, and EQTransformer (EQT), to identify seismic phases within our dataset. Our goal was not only to increase the volume of detectable seismic events but also to gain insights into the effectiveness of these different automated approaches. Our assessment evaluated the completeness of the newly generated catalogs, the precision of identified event locations, and the quality of the picks. The final events corresponding to each of our three catalogs (based on STA/LTA, template matching, and machine learning, respectively) are listed in the provided files.	["POLYGON((148 -71.5,150.4 -71.5,152.8 -71.5,155.2 -71.5,157.6 -71.5,160 -71.5,162.4 -71.5,164.8 -71.5,167.2 -71.5,169.6 -71.5,172 -71.5,172 -72.15,172 -72.8,172 -73.45,172 -74.1,172 -74.75,172 -75.4,172 -76.05,172 -76.7,172 -77.35,172 -78,169.6 -78,167.2 -78,164.8 -78,162.4 -78,160 -78,157.6 -78,155.2 -78,152.8 -78,150.4 -78,148 -78,148 -77.35,148 -76.7,148 -76.05,148 -75.4,148 -74.75,148 -74.1,148 -73.45,148 -72.8,148 -72.15,148 -71.5))"]	["POINT(160 -74.75)"]	false	false
2D shear-wave velocity model across the West Antarctic Rift System from POLENET-ANET seismic data	1643795	2021-01-15	Mikesell, Dylan	Collaborative Research: Monitoring Antarctic Ice Sheet Changes with Ambient Seismic Noise Methods	This data set includes observations of Rayleigh and Love wave group and phase velocity dispersion curves from ambient noise crosscorrelation functions. The data set includes the corresponding shear wave velocity model produced by joint inversion of these dispersion curves. This investigators developed a new crust and upper mantle model directly beneath the seismic stations used in this study. Data are in NetCDF and GeoCSV formats. The Python code used to generate the NetCDF files from the GeoCSV files is also contained in the data set.	["POLYGON((-134.5 -75,-130.85 -75,-127.2 -75,-123.55 -75,-119.9 -75,-116.25 -75,-112.6 -75,-108.95 -75,-105.3 -75,-101.65 -75,-98 -75,-98 -75.85,-98 -76.7,-98 -77.55,-98 -78.4,-98 -79.25,-98 -80.1,-98 -80.95,-98 -81.8,-98 -82.65,-98 -83.5,-101.65 -83.5,-105.3 -83.5,-108.95 -83.5,-112.6 -83.5,-116.25 -83.5,-119.9 -83.5,-123.55 -83.5,-127.2 -83.5,-130.85 -83.5,-134.5 -83.5,-134.5 -82.65,-134.5 -81.8,-134.5 -80.95,-134.5 -80.1,-134.5 -79.25,-134.5 -78.4,-134.5 -77.55,-134.5 -76.7,-134.5 -75.85,-134.5 -75))"]	["POINT(-116.25 -79.25)"]	false	false
Iceberg Harmonic Tremor, Seismometer Data, Antarctica	0229546	2008-10-01	Okal, Emile; Aster, Richard; Bassis, Jeremy; MacAyeal, Douglas	Collaborative Research of Earth's Largest Icebergs	Seismometers were placed on a 25 km by 50 km iceberg called C16 in the Ross Sea, Antarctica, to identify the Iceberg harmonic Tremor (IHT) source mechanism and to understand the relevance of IHT to iceberg calving, drift and break-up. The seismic observations reveal that the IHT signal consists of extended episodes of stick-slip icequakes (typically thousands per hour) generated when the ice-cliff edges of two tabular icebergs rub together during glancing, strike/slip type iceberg collisions (e.g., between C16 and B15A). With the source mechanism revealed, IHT may provide a promising signal useful for the study of iceberg behavior and iceberg-related processes such as climate-induced ice-shelf disintegration. Here, a single day of seismometer data for a single station on iceberg C16 is provided as an example of "a day in the life of an iceberg" for use by scientists and students wishing to know more about IHT. The station data is from C16 "B" site on C16's northeast corner, and the day is 27 December, 2003, a day when B15A struck C16 and caused an episode of tremor that was particularly easy to identify and understand. This represents only a small fraction of the total data that exist for the seismic program on iceberg C16. The full data are archived at the IRIS data center (where seismic data is commonly archived). This one-day data set is to provide glaciologists with ready access to a good example of IHT that they can use for teaching and for demonstration purposes. Data are available in comma-delimited ASCII format and Matlab native mat files. Data are available via FTP.	["POINT(168 -77)"]	["POINT(168 -77)"]	false	false

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