USAP-DC

{"dp_type": "Project", "free_text": "Flir"}

[{"awards": "1840949 Fields, David; 1840941 Murphy, David; 1840927 Weissburg, Marc", "bounds_geometry": null, "dataset_titles": "; Krill Morphometric Data for animals used in the experiments. Parameters include 1) length 2) wet weight 3) dry weight 4) eye size; Spectral irradiance of light delivered in the top and side of the flume - BCO_DMO - Light dark Quantum yield; Summary table of conditions tested, replicates of each condition, as well as the number of tracks and frames analyzed for the horizontal flume experiments.", "datasets": [{"dataset_uid": "200473", "doi": "", "keywords": null, "people": null, "repository": "BCO-DMO", "science_program": null, "title": "", "url": "https://www.bco-dmo.org/project/898124"}, {"dataset_uid": "602065", "doi": null, "keywords": "Antarctica; Cryosphere; Palmer Station", "people": "Fields, David", "repository": "USAP-DC", "science_program": null, "title": "Summary table of conditions tested, replicates of each condition, as well as the number of tracks and frames analyzed for the horizontal flume experiments.", "url": "https://www.usap-dc.org/view/dataset/602065"}, {"dataset_uid": "602064", "doi": null, "keywords": "Antarctica; Antarctic Krill; Cryosphere; Palmer Station", "people": "Fields, David", "repository": "USAP-DC", "science_program": null, "title": "Krill Morphometric Data for animals used in the experiments. Parameters include 1) length 2) wet weight 3) dry weight 4) eye size", "url": "https://www.usap-dc.org/view/dataset/602064"}, {"dataset_uid": "602066", "doi": null, "keywords": "Antarctica; Cryosphere", "people": "Fields, David", "repository": "USAP-DC", "science_program": null, "title": "Spectral irradiance of light delivered in the top and side of the flume - BCO_DMO - Light dark Quantum yield", "url": "https://www.usap-dc.org/view/dataset/602066"}], "date_created": "Fri, 25 Jun 2021 00:00:00 GMT", "description": "Antarctic krill (Euphausia superba) are an ecologically important component of the Southern Ocean\u0027s food web, yet little is known about their behavior in response to many features of their aquatic environment. This project will improve understanding of krill swimming and schooling behavior by examining individual responses to light levels, water flow rates, the presence of attractive and repulsive chemical cues. Flow, light and chemical conditions will be controlled and altered in specialized tanks outfitted with high speed digital camera systems so that individual krill responses to these factors can be measured in relevant schooling settings. This analysis will be used to predict preferred environments, define the capacity of krill to detect and move to them (and away from unfavorable ones). Such information will then be used to improve models that estimate the energetic costs of behaviors associated with different types of environments. Linking individual behavior to those of larger krill aggregations will also improve acoustic assessments of krill densities. Understanding the capacity of krill to respond to environmental perturbations will improve our understanding of the ecology of high latitude ecosystems and provide relevant information for the management of krill fisheries. The project will support graduate and undergraduate students and provide training for as post-doctoral associate. Curricular materials and public engagement activities will be based on the project\u0027s aims and activities. Project investigators will share model results and predictions of krill movements and school structure with experts interested in krill conservation and management. The project will use horizontal and vertical laminar flow tunnels to examine krill behavior under naturally relevant conditions. Horizontal (1-10 cm per second) and vertical (1-3 mm per second) flow velocities mimic naturally relevant current patterns, while light levels and spectral quality will be varied from complete darkness to intensities experienced across the depth range inhabited by krill. Attractive phytoplankton odor will be created by dosing the flumes to obtain background chlorophyll a levels approximating average and bloom conditions, while repulsive cues will be generated from penguin guano. Behavior of individual krill in all conditions will be video recorded with cameras visualizing X-Y and Y-Z planes, and 3D movements will be reconstructed by video motion analysis at a 5 Hz sampling rate. The distribution of horizontal and vertical swimming angles and velocities will be used to create an individual based model (IBM) of krill movement in response to each condition, where krill behavior at each model time step is based on random draws from the velocity and angular distributions. Since krill commonly travel in groups, further experiments will examine the behavior of small krill schools in these same conditions to further parameterize variables such as individual spacing. Researchers will examine krill aggregation structure from 3D video records of krill swimming in a specially designed kriesel tank, and compute nearest neighbor distances (NND) and correlations of swimming angles among individuals within the aggregation. Krill movements in the IBM will be constrained to adhere to observed NND and angular correlations. Large scale oceanographic models will be used to define spatial environments in which the modelled krill will be allowed to move using simulated schools of 1000-100,000 krill. Model output will include the school swimming speed, direction and structure (packing density, NND). Researchers will compare available acoustic data sets of krill schools in measured flow and phytoplankton abundance to evaluate the model predictions. This award reflects NSF\u0027s statutory mission and has been deemed worthy of support through evaluation using the Foundation\u0027s intellectual merit and broader impacts review criteria.", "east": null, "geometry": null, "instruments": null, "is_usap_dc": true, "keywords": "ANIMAL ECOLOGY AND BEHAVIOR; AMD; FIELD INVESTIGATION; Amd/Us; USAP-DC; Palmer Station; USA/NSF", "locations": "Palmer Station", "north": null, "nsf_funding_programs": "Antarctic Organisms and Ecosystems; Antarctic Organisms and Ecosystems; Antarctic Integrated System Science; Antarctic Organisms and Ecosystems", "paleo_time": null, "persons": "Record, Nicholas ; Weissburg, Marc; Murphy, David; Fields, David", "platforms": "LAND-BASED PLATFORMS \u003e FIELD SITES \u003e FIELD INVESTIGATION", "repo": "BCO-DMO", "repositories": "BCO-DMO; USAP-DC", "science_programs": null, "south": null, "title": "Collaborative Research: Individual Based Approaches to Understanding Krill Distributions and Aggregations", "uid": "p0010202", "west": null}, {"awards": "1727387 Mikucki, Jill; 1144192 Tulaczyk, Slawek; 1144176 Lyons, W. Berry; 1144177 Pettit, Erin", "bounds_geometry": "POLYGON((161.8 -77.7,161.88 -77.7,161.96 -77.7,162.04000000000002 -77.7,162.12 -77.7,162.2 -77.7,162.28 -77.7,162.36 -77.7,162.44 -77.7,162.51999999999998 -77.7,162.6 -77.7,162.6 -77.70700000000001,162.6 -77.714,162.6 -77.721,162.6 -77.728,162.6 -77.735,162.6 -77.742,162.6 -77.749,162.6 -77.756,162.6 -77.76299999999999,162.6 -77.77,162.51999999999998 -77.77,162.44 -77.77,162.36 -77.77,162.28 -77.77,162.2 -77.77,162.12 -77.77,162.04000000000002 -77.77,161.96 -77.77,161.88 -77.77,161.8 -77.77,161.8 -77.76299999999999,161.8 -77.756,161.8 -77.749,161.8 -77.742,161.8 -77.735,161.8 -77.728,161.8 -77.721,161.8 -77.714,161.8 -77.70700000000001,161.8 -77.7))", "dataset_titles": "Ablation Stake Data from of Taylor Glacier near Blood Falls; Antarctica Support 2014/2015 - C-528 Blood Falls GPS/GNSS Observations Dataset; Blood Falls, McMurdo Dry Va. International Federation of Digital Seismograph Networks. Dataset/Seismic Network; FLIR thermal imaging data near Blood Falls, Taylor Glacier; Ground Penetrating Radar Data near Blood Falls, Taylor Glacier; Ice Temperature in Shallow Boreholes Near Blood Falls at the Terminus of Taylor Glacier, McMurdo Dry Valleys, Antarctica; NCBI short read archive -Metagenomic survey of Antarctic Groundwater; Terrestrial Radar Interferometry near Blood Falls, Taylor Glacier; The Geochemistry of englacial brine from Taylor Glacier, Antarctica; Time Lapse imagery of the Blood Falls feature, Antarctica ; Vaisala Integrated Met Station near Blood Falls, Taylor Glacier", "datasets": [{"dataset_uid": "601167", "doi": "10.15784/601167", "keywords": "Antarctica; Basal Crevassing; Glacier Hydrology; Glaciers/ice Sheet; Glaciers/Ice Sheet; Glaciology; Photo; Photo/video; Photo/Video; Snow/ice; Snow/Ice; Taylor Glacier; Timelaps Images", "people": "Pettit, Erin", "repository": "USAP-DC", "science_program": null, "title": "Time Lapse imagery of the Blood Falls feature, Antarctica ", "url": "https://www.usap-dc.org/view/dataset/601167"}, {"dataset_uid": "601166", "doi": "10.15784/601166", "keywords": "Antarctica; Basal Crevassing; Glacier Hydrology; Glaciers/ice Sheet; Glaciers/Ice Sheet; Glaciology; GPR; Radar; Snow/ice; Snow/Ice; Taylor Glacier", "people": "Pettit, Erin", "repository": "USAP-DC", "science_program": null, "title": "Terrestrial Radar Interferometry near Blood Falls, Taylor Glacier", "url": "https://www.usap-dc.org/view/dataset/601166"}, {"dataset_uid": "601165", "doi": "10.15784/601165", "keywords": "Antarctica; Basal Crevassing; Glacier Hydrology; Glaciers/ice Sheet; Glaciers/Ice Sheet; Glaciology; GPR; Radar; Snow/ice; Snow/Ice; Taylor Glacier", "people": "Pettit, Erin", "repository": "USAP-DC", "science_program": null, "title": "Ground Penetrating Radar Data near Blood Falls, Taylor Glacier", "url": "https://www.usap-dc.org/view/dataset/601165"}, {"dataset_uid": "601164", "doi": "10.15784/601164", "keywords": "Antarctica; Basal Crevassing; Glacier Hydrology; Glaciers/ice Sheet; Glaciers/Ice Sheet; Glaciology; Snow/ice; Snow/Ice", "people": "Pettit, Erin", "repository": "USAP-DC", "science_program": null, "title": "Ablation Stake Data from of Taylor Glacier near Blood Falls", "url": "https://www.usap-dc.org/view/dataset/601164"}, {"dataset_uid": "200028", "doi": "10.7283/FCEN-8050", "keywords": null, "people": null, "repository": "UNAVCO", "science_program": null, "title": "Antarctica Support 2014/2015 - C-528 Blood Falls GPS/GNSS Observations Dataset", "url": "https://www.unavco.org/data/doi/10.7283/fcen-8050"}, {"dataset_uid": "601168", "doi": "10.15784/601168", "keywords": "Antarctica; Atmosphere; Basal Crevassing; Glacier Hydrology; Glaciers/ice Sheet; Glaciers/Ice Sheet; Glaciology; Meteorology; Taylor Glacier; Temperature; Weather Station Data; Wind Speed", "people": "Pettit, Erin", "repository": "USAP-DC", "science_program": null, "title": "Vaisala Integrated Met Station near Blood Falls, Taylor Glacier", "url": "https://www.usap-dc.org/view/dataset/601168"}, {"dataset_uid": "200074", "doi": "", "keywords": null, "people": null, "repository": "NCBI GenBank", "science_program": null, "title": "NCBI short read archive -Metagenomic survey of Antarctic Groundwater", "url": "https://www.ncbi.nlm.nih.gov/sra/?term=SRR6667787"}, {"dataset_uid": "601179", "doi": "10.15784/601179", "keywords": "Antarctica; Chemistry:ice; Chemistry:Ice; Geochemistry; Glaciers/ice Sheet; Glaciers/Ice Sheet; Glaciology; Subglacial Brine", "people": "Gardner, Christopher B.; Lyons, W. Berry", "repository": "USAP-DC", "science_program": null, "title": "The Geochemistry of englacial brine from Taylor Glacier, Antarctica", "url": "https://www.usap-dc.org/view/dataset/601179"}, {"dataset_uid": "200029", "doi": "10.7914/SN/YW_2013", "keywords": null, "people": null, "repository": "IRIS", "science_program": null, "title": "Blood Falls, McMurdo Dry Va. International Federation of Digital Seismograph Networks. Dataset/Seismic Network", "url": "http://www.fdsn.org/networks/detail/YW_2013/"}, {"dataset_uid": "601139", "doi": "10.15784/601139", "keywords": "Antarctica; Borehole; Borehole Logging; Glaciers/ice Sheet; Glaciers/Ice Sheet; Glaciology; Ice Temperature; Snow/ice; Snow/Ice; Temperature; Temperature Profiles", "people": "Tulaczyk, Slawek", "repository": "USAP-DC", "science_program": null, "title": "Ice Temperature in Shallow Boreholes Near Blood Falls at the Terminus of Taylor Glacier, McMurdo Dry Valleys, Antarctica", "url": "https://www.usap-dc.org/view/dataset/601139"}, {"dataset_uid": "601169", "doi": "10.15784/601169", "keywords": "Antarctica; Basal Crevassing; Glacier Hydrology; Glaciers/ice Sheet; Glaciers/Ice Sheet; Glaciology; Infrared Imagery; Photo/video; Photo/Video; Taylor Glacier; Thermal Camera; Timelaps Images", "people": "Pettit, Erin", "repository": "USAP-DC", "science_program": null, "title": "FLIR thermal imaging data near Blood Falls, Taylor Glacier", "url": "https://www.usap-dc.org/view/dataset/601169"}], "date_created": "Wed, 28 Nov 2018 00:00:00 GMT", "description": "Recent discoveries of widespread liquid water and microbial ecosystems below the Antarctic ice sheets have generated considerable interest in studying Antarctic subglacial environments. Understanding subglacial hydrology, the persistence of life in extended isolation and the evolution and stability of subglacial habitats requires an integrated, interdisciplinary approach. The collaborative project, Minimally Invasive Direct Glacial Exploration (MIDGE) of the Biogeochemistry, Hydrology and Glaciology of Blood Falls, McMurdo Dry Valleys will integrate geophysical measurements, molecular microbial ecology and geochemical analyses to explore a unique Antarctic subglacial system known as Blood Falls. Blood Falls is a hypersaline, subglacial brine that supports an active microbial community. The subglacial brine is released from a crevasse at the surface of the Taylor Glacier providing an accessible portal into an Antarctic subglacial ecosystem. Recent geochemical and molecular analyses support a marine source for the salts and microorganisms in Blood Falls. The last time marine waters inundated this part of the McMurdo Dry Valleys was during the Late Tertiary, which suggests the brine is ancient. Still, no direct samples have been collected from the subglacial source to Blood Falls and little is known about the origin of this brine or the amount of time it has been sealed below Taylor Glacier. Radar profiles collected near Blood Falls delineate a possible fault in the subglacial substrate that may help explain the localized and episodic nature of brine release. However it remains unclear what triggers the episodic release of brine exclusively at the Blood Falls crevasse or the extent to which the brine is altered as it makes its way to the surface. The MIDGE project aims to determine the mechanism of brine release at Blood Falls, evaluate changes in the geochemistry and the microbial community within the englacial conduit and assess if Blood Falls waters have a distinct impact on the thermal and stress state of Taylor Glacier, one of the most studied polar glaciers in Antarctica. The geophysical study of the glaciological structure and mechanism of brine release will use GPR, GPS, and a small passive seismic network. Together with international collaborators, the \u0027Ice Mole\u0027 team from FH Aachen University of Applied Sciences, Germany (funded by the German Aerospace Center, DLR), MIDGE will develop and deploy innovative, minimally invasive technologies for clean access and brine sample retrieval from deep within the Blood Falls drainage system. These technologies will allow for the collection of samples of the brine away from the surface (up to tens of meters) for geochemical analyses and microbial structure-function experiments. There is concern over the contamination of pristine subglacial environments from chemical and biological materials inherent in the drilling process; and MIDGE will provide data on the efficacy of thermoelectric probes for clean access and retrieval of representative subglacial samples. Antarctic subglacial environments provide an excellent opportunity for researching survivability and adaptability of microbial life and are potential terrestrial analogues for life habitats on icy planetary bodies. The MIDGE project offers a portable, versatile, clean alternative to hot water and mechanical drilling and will enable the exploration of subglacial hydrology and ecosystem function while making significant progress towards developing technologies for minimally invasive and clean sampling of icy systems.", "east": 162.6, "geometry": "POINT(162.2 -77.735)", "instruments": "NOT APPLICABLE \u003e NOT APPLICABLE \u003e NOT APPLICABLE", "is_usap_dc": true, "keywords": "NOT APPLICABLE; BACTERIA/ARCHAEA; USAP-DC", "locations": null, "north": -77.7, "nsf_funding_programs": "Antarctic Integrated System Science; Antarctic Integrated System Science; Antarctic Instrumentation and Support; Antarctic Integrated System Science; Antarctic Integrated System Science", "paleo_time": null, "persons": "Tulaczyk, Slawek; Pettit, Erin; Lyons, W. Berry; Mikucki, Jill", "platforms": "OTHER \u003e NOT APPLICABLE \u003e NOT APPLICABLE", "repo": "USAP-DC", "repositories": "IRIS; NCBI GenBank; UNAVCO; USAP-DC", "science_programs": null, "south": -77.77, "title": "Collaborative Research: MIDGE: Minimally Invasive Direct Glacial Exploration of Biogeochemistry, Hydrology and Glaciology of Blood Falls, McMurdo Dry Valleys", "uid": "p0000002", "west": 161.8}, {"awards": "1142083 Kyle, Philip", "bounds_geometry": "POINT(167.15334 -77.529724)", "dataset_titles": "Database of Erebus cave field seasons; Icequakes at Erebus volcano, Antarctica; Mount Erebus Observatory GPS data; Mount Erebus Seismic Data; Mount Erebus Thermodynamic model code; Mount Erebus Volcano Observatory: Operations, Science and Outreach (MEVO-OSO); Seismic data used for high-resolution active-source seismic tomography", "datasets": [{"dataset_uid": "600381", "doi": "10.15784/600381", "keywords": "Antarctica; Cable Observatory; Geology/Geophysics - Other; Infrared Imagery; Intracontinental Magmatism; IntraContinental Magmatism; MEVO; Mount Erebus; Photo/video; Photo/Video; Ross Island; Solid Earth; Thermal Camera; Volcano", "people": "Oppenheimer, Clive; Kyle, Philip", "repository": "USAP-DC", "science_program": "MEVO", "title": "Mount Erebus Volcano Observatory: Operations, Science and Outreach (MEVO-OSO)", "url": "https://www.usap-dc.org/view/dataset/600381"}, {"dataset_uid": "200034", "doi": "", "keywords": null, "people": null, "repository": "IRIS", "science_program": null, "title": "Seismic data used for high-resolution active-source seismic tomography", "url": "http://ds.iris.edu/mda/ZW/?timewindow=2007-2009http://ds.iris.edu/mda/Y4?timewindow=2008-2009http://ds.iris.edu/ds/nodes/dmc/forms/assembled-data/?dataset_report_number=09-015"}, {"dataset_uid": "200033", "doi": "", "keywords": null, "people": null, "repository": "IRIS", "science_program": null, "title": "Icequakes at Erebus volcano, Antarctica", "url": "http://ds.iris.edu/mda/ZW/?timewindow=2007-2009http://ds.iris.edu/mda/Y4?timewindow=2008-2009http://ds.iris.edu/mda/ZO?timewindow=2011-2012"}, {"dataset_uid": "200032", "doi": "", "keywords": null, "people": null, "repository": "IRIS", "science_program": null, "title": "Mount Erebus Seismic Data", "url": "http://ds.iris.edu/mda/ER/"}, {"dataset_uid": "200031", "doi": "", "keywords": null, "people": null, "repository": "GitHub", "science_program": null, "title": "Mount Erebus Thermodynamic model code", "url": "https://github.com/kaylai/Iacovino2015_thermodynamic_model"}, {"dataset_uid": "200030", "doi": "", "keywords": null, "people": null, "repository": "GitHub", "science_program": null, "title": "Database of Erebus cave field seasons", "url": "https://github.com/foobarbecue/troggle"}, {"dataset_uid": "200027", "doi": "", "keywords": null, "people": null, "repository": "UNAVCO", "science_program": null, "title": "Mount Erebus Observatory GPS data", "url": "https://www.unavco.org/data/gps-gnss/data-access-methods/dai1/monument.php?mid=22083\u0026parent_link=Permanent\u0026pview=original"}], "date_created": "Tue, 03 Sep 2013 00:00:00 GMT", "description": "Intellectual Merit: Mt. Erebus is one of only a handful of volcanoes worldwide that have lava lakes with readily observable and nearly continuous Strombolian explosive activity. Erebus is also unique in having a permanent convecting lava lake of anorthoclase phonolite magma. Over the years significant infrastructure has been established at the summit of Mt. Erebus as part of the Mount Erebus Volcano Observatory (MEVO), which serves as a natural laboratory to study a wide range of volcanic processes, especially magma degassing associated with an open convecting magma conduit. The PI proposes to continue operating MEVO for a further five years. The fundamental fundamental research objectives are: to understand diffuse flank degassing by using distributed temperature sensing and gas measurements in ice caves, to understand conduit processes, and to examine the environmental impact of volcanic emissions from Erebus on atmospheric and cryospheric environments. To examine conduit processes the PI will make simultaneous observations with video records, thermal imaging, measurements of gas emission rates and gas compositions, seismic, and infrasound data. Broader impacts: An important aspect of Erebus research is the education and training of students. Both graduate and undergraduate students will have the opportunity to work on MEVO data and deploy to the field site. In addition, this proposal will support a middle or high school science teacher for two field seasons. The PI will also continue working with various media organizations and filmmakers.", "east": 167.15334, "geometry": "POINT(167.15334 -77.529724)", "instruments": "EARTH REMOTE SENSING INSTRUMENTS \u003e PASSIVE REMOTE SENSING \u003e SPECTROMETERS/RADIOMETERS \u003e IMAGING SPECTROMETERS/RADIOMETERS \u003e TIRS; EARTH REMOTE SENSING INSTRUMENTS \u003e PASSIVE REMOTE SENSING \u003e SPECTROMETERS/RADIOMETERS \u003e SPECTROMETERS \u003e FTIR SPECTROMETER; EARTH REMOTE SENSING INSTRUMENTS \u003e PASSIVE REMOTE SENSING \u003e SPECTROMETERS/RADIOMETERS \u003e SPECTROMETERS \u003e DOAS; EARTH REMOTE SENSING INSTRUMENTS \u003e ACTIVE REMOTE SENSING \u003e POSITIONING/NAVIGATION \u003e LASER RANGING \u003e MOBLAS; IN SITU/LABORATORY INSTRUMENTS \u003e PROBES \u003e ELECTRON MICROPROBES; IN SITU/LABORATORY INSTRUMENTS \u003e PHOTON/OPTICAL DETECTORS \u003e PETROGRAPHIC MICROSCOPES; IN SITU/LABORATORY INSTRUMENTS \u003e MAGNETIC/MOTION SENSORS \u003e SEISMOMETERS \u003e SEISMOMETERS; NOT APPLICABLE \u003e NOT APPLICABLE \u003e NOT APPLICABLE; EARTH REMOTE SENSING INSTRUMENTS \u003e PASSIVE REMOTE SENSING \u003e SPECTROMETERS/RADIOMETERS \u003e IMAGING SPECTROMETERS/RADIOMETERS \u003e HRDI; EARTH REMOTE SENSING INSTRUMENTS \u003e PASSIVE REMOTE SENSING \u003e SPECTROMETERS/RADIOMETERS \u003e IMAGING SPECTROMETERS/RADIOMETERS \u003e TIRS; IN SITU/LABORATORY INSTRUMENTS \u003e PROFILERS/SOUNDERS \u003e ACOUSTIC SOUNDERS \u003e INFRASONIC MICROPHONES; IN SITU/LABORATORY INSTRUMENTS \u003e SPECTROMETERS/RADIOMETERS \u003e AMS; IN SITU/LABORATORY INSTRUMENTS \u003e SPECTROMETERS/RADIOMETERS \u003e XRF; IN SITU/LABORATORY INSTRUMENTS \u003e SPECTROMETERS/RADIOMETERS \u003e ICP-MS; IN SITU/LABORATORY INSTRUMENTS \u003e SPECTROMETERS/RADIOMETERS \u003e ICP-ES; EARTH REMOTE SENSING INSTRUMENTS \u003e ACTIVE REMOTE SENSING \u003e POSITIONING/NAVIGATION \u003e LASER RANGING \u003e MOBLAS; IN SITU/LABORATORY INSTRUMENTS \u003e CHEMICAL METERS/ANALYZERS \u003e IRGA; IN SITU/LABORATORY INSTRUMENTS \u003e PHOTON/OPTICAL DETECTORS \u003e SCANNING ELECTRON MICROSCOPES; IN SITU/LABORATORY INSTRUMENTS \u003e PRESSURE/HEIGHT METERS \u003e PRESSURE CHAMBERS; EARTH REMOTE SENSING INSTRUMENTS \u003e PASSIVE REMOTE SENSING \u003e SPECTROMETERS/RADIOMETERS \u003e SPECTROMETERS \u003e FTIR SPECTROMETER; EARTH REMOTE SENSING INSTRUMENTS \u003e PASSIVE REMOTE SENSING \u003e PHOTON/OPTICAL DETECTORS \u003e MICROTOMOGRAPHY; IN SITU/LABORATORY INSTRUMENTS \u003e SPECTROMETERS/RADIOMETERS \u003e SIMS; IN SITU/LABORATORY INSTRUMENTS \u003e CHEMICAL METERS/ANALYZERS \u003e GAS CHROMATOGRAPHS", "is_usap_dc": true, "keywords": "Earthquakes; Vesuvius; Cosmogenic Radionuclides; Infrasonic Signals; Icequakes; Magma Shells; Phase Equilibria; Passcal; Correlation; Backscattering; Eruptive History; Degassing; Volatiles; Magma Convection; Thermodynamics; Tremors; Optech; Uv Doas; Energy Partitioning; Erebus; Cronus; Holocene; Lava Lake; Phonolite; Vagrant; Thermal Infrared Camera; Flir; USA/NSF; Mount Erebus; Active Source Seismic; GROUND-BASED OBSERVATIONS; Interferometry; Volatile Solubility; Redox State; Viscosity; Hydrogen Emission; Seismicity; Eruptions; Explosion Energy; FIELD SURVEYS; Radar Spectra; OBSERVATION BASED; Seismic Events; Strombolian Eruptions; Anorthoclase; Ice Caves; Iris; VOLCANO OBSERVATORY; Melt Inclusions; Ftir; Alkaline Volcanism; Tomography; TLS; Volcanic Gases; ANALYTICAL LAB", "locations": "Vesuvius; Cronus; Vagrant; Mount Erebus; Passcal", "north": -77.529724, "nsf_funding_programs": "Antarctic Earth Sciences", "paleo_time": "PHANEROZOIC \u003e CENOZOIC \u003e QUATERNARY \u003e HOLOCENE", "persons": "Kyle, Philip; Oppenheimer, Clive; Chaput, Julien; Jones, Laura; Fischer, Tobias", "platforms": "LAND-BASED PLATFORMS \u003e FIELD SITES \u003e FIELD SURVEYS; LAND-BASED PLATFORMS \u003e PERMANENT LAND SITES \u003e GROUND-BASED OBSERVATIONS; LAND-BASED PLATFORMS \u003e PERMANENT LAND SITES \u003e VOLCANO OBSERVATORY; OTHER \u003e MODELS \u003e OBSERVATION BASED; OTHER \u003e PHYSICAL MODELS \u003e ANALYTICAL LAB", "repo": "USAP-DC", "repositories": "GitHub; IRIS; UNAVCO; USAP-DC", "science_programs": "MEVO", "south": -77.529724, "title": "Mount Erebus Volcano Observatory: Operations, Science and Outreach (MEVO-OSO)", "uid": "p0000383", "west": 167.15334}]

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