{"dp_type": "Dataset", "free_text": "Subglacial Lakes"}
[{"awards": "1744649 Christianson, Knut; 1643353 Christianson, Knut", "bounds_geometry": ["POLYGON((-179.9989061 -89.752739299,-143.999017884 -89.752739299,-107.999129669 -89.752739299,-71.9992414529 -89.752739299,-35.9993532372 -89.752739299,0.000534978500013 -89.752739299,36.0004231942 -89.752739299,72.0003114099 -89.752739299,108.000199626 -89.752739299,144.000087841 -89.752739299,179.999976057 -89.752739299,179.999976057 -89.7772743702,179.999976057 -89.8018094414,179.999976057 -89.8263445126,179.999976057 -89.8508795838,179.999976057 -89.875414655,179.999976057 -89.8999497262,179.999976057 -89.9244847974,179.999976057 -89.9490198686,179.999976057 -89.9735549398,179.999976057 -89.998090011,144.000087841 -89.998090011,108.000199626 -89.998090011,72.0003114099 -89.998090011,36.0004231942 -89.998090011,0.000534978499985 -89.998090011,-35.9993532372 -89.998090011,-71.9992414529 -89.998090011,-107.999129669 -89.998090011,-143.999017884 -89.998090011,-179.9989061 -89.998090011,-179.9989061 -89.9735549398,-179.9989061 -89.9490198686,-179.9989061 -89.9244847974,-179.9989061 -89.8999497262,-179.9989061 -89.875414655,-179.9989061 -89.8508795838,-179.9989061 -89.8263445126,-179.9989061 -89.8018094414,-179.9989061 -89.7772743702,-179.9989061 -89.752739299))"], "date_created": "Thu, 06 Jan 2022 00:00:00 GMT", "description": "These are ground-based GNSS data collected from a subglacial lake ~15 km from the geographic South Pole.\r\nData were collected with two separate antenna/receiver systems: 1) Septentrio Altus APS3G antenna/receiver 2) Trimble NetR8 and Trimble Zephyr Geodetic antenna.", "east": 179.999976057, "geometry": ["POINT(0 -89.999)"], "keywords": "Antarctica; Cryosphere; Glaciers/Ice Sheet; Glaciology; GNSS; GPS; GPS Data; South Pole; Subglacial Lakes", "locations": "South Pole; South Pole; Antarctica", "north": -89.752739299, "nsf_funding_programs": "Antarctic Glaciology; Antarctic Glaciology", "persons": "Hills, Benjamin", "project_titles": "Collaborative Research: Computational Methods Supporting Joint Seismic and Radar Inversion for Ice Fabric and Temperature in Streaming Flow", "projects": [{"proj_uid": "p0010160", "repository": "USAP-DC", "title": "Collaborative Research: Computational Methods Supporting Joint Seismic and Radar Inversion for Ice Fabric and Temperature in Streaming Flow"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -89.998090011, "title": "South Pole Lake GNSS", "uid": "601502", "west": -179.9989061}, {"awards": "1643353 Christianson, Knut; 1744649 Christianson, Knut", "bounds_geometry": ["POLYGON((-179.9989061 -89.752739299,-143.999017884 -89.752739299,-107.999129669 -89.752739299,-71.9992414529 -89.752739299,-35.9993532372 -89.752739299,0.000534978500013 -89.752739299,36.0004231942 -89.752739299,72.0003114099 -89.752739299,108.000199626 -89.752739299,144.000087841 -89.752739299,179.999976057 -89.752739299,179.999976057 -89.7772743702,179.999976057 -89.8018094414,179.999976057 -89.8263445126,179.999976057 -89.8508795838,179.999976057 -89.875414655,179.999976057 -89.8999497262,179.999976057 -89.9244847974,179.999976057 -89.9490198686,179.999976057 -89.9735549398,179.999976057 -89.998090011,144.000087841 -89.998090011,108.000199626 -89.998090011,72.0003114099 -89.998090011,36.0004231942 -89.998090011,0.000534978499985 -89.998090011,-35.9993532372 -89.998090011,-71.9992414529 -89.998090011,-107.999129669 -89.998090011,-143.999017884 -89.998090011,-179.9989061 -89.998090011,-179.9989061 -89.9735549398,-179.9989061 -89.9490198686,-179.9989061 -89.9244847974,-179.9989061 -89.8999497262,-179.9989061 -89.875414655,-179.9989061 -89.8508795838,-179.9989061 -89.8263445126,-179.9989061 -89.8018094414,-179.9989061 -89.7772743702,-179.9989061 -89.752739299))"], "date_created": "Thu, 06 Jan 2022 00:00:00 GMT", "description": "These are ground-based radar data collected from a subglacial lake ~15 km from the geographic South Pole. Data were collected with the Autonomous phase-sensitive Radio Echo Sounder (ApRES) (Nicholls et al., 2015). The intention of this dataset is to be used for vertical velocity structure and interpretation.", "east": 179.999976057, "geometry": ["POINT(0 -89.999)"], "keywords": "Antarctica; ApRES; Cryosphere; Glaciers/Ice Sheet; Glaciology; South Pole; Subglacial Lakes; Vertical Velocity", "locations": "South Pole; South Pole; Antarctica", "north": -89.752739299, "nsf_funding_programs": "Antarctic Glaciology; Antarctic Glaciology", "persons": "Hills, Benjamin", "project_titles": "Collaborative Research: Computational Methods Supporting Joint Seismic and Radar Inversion for Ice Fabric and Temperature in Streaming Flow", "projects": [{"proj_uid": "p0010160", "repository": "USAP-DC", "title": "Collaborative Research: Computational Methods Supporting Joint Seismic and Radar Inversion for Ice Fabric and Temperature in Streaming Flow"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -89.998090011, "title": "South Pole Lake ApRES Radar", "uid": "601503", "west": -179.9989061}, {"awards": "9911617 Blankenship, Donald; 9978236 Bell, Robin", "bounds_geometry": ["POLYGON((101.5 -75.5,102.15 -75.5,102.8 -75.5,103.45 -75.5,104.1 -75.5,104.75 -75.5,105.4 -75.5,106.05 -75.5,106.7 -75.5,107.35 -75.5,108 -75.5,108 -75.85,108 -76.2,108 -76.55,108 -76.9,108 -77.25,108 -77.6,108 -77.95,108 -78.3,108 -78.65,108 -79,107.35 -79,106.7 -79,106.05 -79,105.4 -79,104.75 -79,104.1 -79,103.45 -79,102.8 -79,102.15 -79,101.5 -79,101.5 -78.65,101.5 -78.3,101.5 -77.95,101.5 -77.6,101.5 -77.25,101.5 -76.9,101.5 -76.55,101.5 -76.2,101.5 -75.85,101.5 -75.5))"], "date_created": "Tue, 28 Apr 2020 00:00:00 GMT", "description": "Processed IcePenetrating Radar Altimeter Shot Data (version 2) acquired during the SOAR Twin Otter expedition SOAR-LVS (2000)\r\nThis data set was acquired with a IcePenetrating Radar Altimeter during SOAR Twin Otter expedition SOAR-LVS conducted in 2000 (Chief Scientist: Dr. Robin Bell; Investigator(s): Dr. Robin Bell and Dr. Michael Studinger). These data files are of SEGY format and include Reflection Radar shot data and were processed after data collection. Data were acquired as part of the project(s): SOAR-Lake Vostok Survey (LVS) and Understanding the Boundary Conditions of the Lake Vostok Environment: A Site Survey for Future Work", "east": 108.0, "geometry": ["POINT(104.75 -77.25)"], "keywords": "Airborne Radar; Airplane; Antarctica; Cryosphere; East Antarctica; Glaciers/Ice Sheet; Glaciology; Lake Vostok; Navigation; Radar; SOAR; Subglacial Lakes", "locations": "East Antarctica; Lake Vostok; Antarctica", "north": -75.5, "nsf_funding_programs": "Antarctic Earth Sciences; Antarctic Earth Sciences", "persons": "Studinger, Michael S.; Bell, Robin", "project_titles": "Continuation of Activities for the Support Office for Aerogeophysical Research (SOAR); Understanding the Boundary Conditions of the Lake Vostok Environment: A Site Survey for Future Work\r\n", "projects": [{"proj_uid": "p0010097", "repository": "USAP-DC", "title": "Understanding the Boundary Conditions of the Lake Vostok Environment: A Site Survey for Future Work\r\n"}, {"proj_uid": "p0000125", "repository": "USAP-DC", "title": "Continuation of Activities for the Support Office for Aerogeophysical Research (SOAR)"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -79.0, "title": "SOAR-Lake Vostok Survey airborne radar data", "uid": "601300", "west": 101.5}, {"awards": "1745137 Schroeder, Dustin", "bounds_geometry": ["POLYGON((-180 -60,-144 -60,-108 -60,-72 -60,-36 -60,0 -60,36 -60,72 -60,108 -60,144 -60,180 -60,180 -63,180 -66,180 -69,180 -72,180 -75,180 -78,180 -81,180 -84,180 -87,180 -90,144 -90,108 -90,72 -90,36 -90,0 -90,-36 -90,-72 -90,-108 -90,-144 -90,-180 -90,-180 -87,-180 -84,-180 -81,-180 -78,-180 -75,-180 -72,-180 -69,-180 -66,-180 -63,-180 -60))"], "date_created": "Wed, 02 Oct 2019 00:00:00 GMT", "description": "These data accompany the paper \"Antarctic Topographic Realizations and Geostatistical Modeling Used to Map Subglacial Lakes\" (MacKie et al., in review). This dataset contains 100 geostatistically generated subglacial topographic realizations for Antarctica. Data science techniques were used to calculate the probability of the occurrence of radar-detected lakes and altimetry-detected (active) lakes across the continent, using each topographic realization as a parameter. This generated 100 probability maps of the likelihood of radar-detected lake occurrence and 100 probability maps of active lake occurrence. Further statistics were used to generate 100 binary maps showing expected radar-detected lake locations. The ensemble of realizations can be used for uncertainty quantification.", "east": 180.0, "geometry": ["POINT(0 -89.999)"], "keywords": "Active Lakes; Antarctica; Cryosphere; Glaciers/Ice Sheet; Glaciology; Ice Sheet Model; Model Data; Snow/Ice; Subglacial Lakes; Topography", "locations": "Antarctica", "north": -60.0, "nsf_funding_programs": "Antarctic Glaciology", "persons": "MacKie, Emma; Schroeder, Dustin; Caers, Jef; Siegfried, Matt; Scheidt, Celine", "project_titles": "CAREER: Cross-Instrument Synthesis of Antarctic Radar Sounding Observations", "projects": [{"proj_uid": "p0010058", "repository": "USAP-DC", "title": "CAREER: Cross-Instrument Synthesis of Antarctic Radar Sounding Observations"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -90.0, "title": "Antarctic topographic and subglacial lake geostatistical simulations", "uid": "601213", "west": -180.0}]
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Dataset Title/Abstract/Map | NSF Award(s) | Date Created | PIs / Scientists | Project Links | Abstract | Bounds Geometry | Geometry | Selected | Visible |
---|---|---|---|---|---|---|---|---|---|
South Pole Lake GNSS
|
1744649 1643353 |
2022-01-06 | Hills, Benjamin |
Collaborative Research: Computational Methods Supporting Joint Seismic and Radar Inversion for Ice Fabric and Temperature in Streaming Flow |
These are ground-based GNSS data collected from a subglacial lake ~15 km from the geographic South Pole. Data were collected with two separate antenna/receiver systems: 1) Septentrio Altus APS3G antenna/receiver 2) Trimble NetR8 and Trimble Zephyr Geodetic antenna. | ["POLYGON((-179.9989061 -89.752739299,-143.999017884 -89.752739299,-107.999129669 -89.752739299,-71.9992414529 -89.752739299,-35.9993532372 -89.752739299,0.000534978500013 -89.752739299,36.0004231942 -89.752739299,72.0003114099 -89.752739299,108.000199626 -89.752739299,144.000087841 -89.752739299,179.999976057 -89.752739299,179.999976057 -89.7772743702,179.999976057 -89.8018094414,179.999976057 -89.8263445126,179.999976057 -89.8508795838,179.999976057 -89.875414655,179.999976057 -89.8999497262,179.999976057 -89.9244847974,179.999976057 -89.9490198686,179.999976057 -89.9735549398,179.999976057 -89.998090011,144.000087841 -89.998090011,108.000199626 -89.998090011,72.0003114099 -89.998090011,36.0004231942 -89.998090011,0.000534978499985 -89.998090011,-35.9993532372 -89.998090011,-71.9992414529 -89.998090011,-107.999129669 -89.998090011,-143.999017884 -89.998090011,-179.9989061 -89.998090011,-179.9989061 -89.9735549398,-179.9989061 -89.9490198686,-179.9989061 -89.9244847974,-179.9989061 -89.8999497262,-179.9989061 -89.875414655,-179.9989061 -89.8508795838,-179.9989061 -89.8263445126,-179.9989061 -89.8018094414,-179.9989061 -89.7772743702,-179.9989061 -89.752739299))"] | ["POINT(0 -89.999)"] | false | false |
South Pole Lake ApRES Radar
|
1643353 1744649 |
2022-01-06 | Hills, Benjamin |
Collaborative Research: Computational Methods Supporting Joint Seismic and Radar Inversion for Ice Fabric and Temperature in Streaming Flow |
These are ground-based radar data collected from a subglacial lake ~15 km from the geographic South Pole. Data were collected with the Autonomous phase-sensitive Radio Echo Sounder (ApRES) (Nicholls et al., 2015). The intention of this dataset is to be used for vertical velocity structure and interpretation. | ["POLYGON((-179.9989061 -89.752739299,-143.999017884 -89.752739299,-107.999129669 -89.752739299,-71.9992414529 -89.752739299,-35.9993532372 -89.752739299,0.000534978500013 -89.752739299,36.0004231942 -89.752739299,72.0003114099 -89.752739299,108.000199626 -89.752739299,144.000087841 -89.752739299,179.999976057 -89.752739299,179.999976057 -89.7772743702,179.999976057 -89.8018094414,179.999976057 -89.8263445126,179.999976057 -89.8508795838,179.999976057 -89.875414655,179.999976057 -89.8999497262,179.999976057 -89.9244847974,179.999976057 -89.9490198686,179.999976057 -89.9735549398,179.999976057 -89.998090011,144.000087841 -89.998090011,108.000199626 -89.998090011,72.0003114099 -89.998090011,36.0004231942 -89.998090011,0.000534978499985 -89.998090011,-35.9993532372 -89.998090011,-71.9992414529 -89.998090011,-107.999129669 -89.998090011,-143.999017884 -89.998090011,-179.9989061 -89.998090011,-179.9989061 -89.9735549398,-179.9989061 -89.9490198686,-179.9989061 -89.9244847974,-179.9989061 -89.8999497262,-179.9989061 -89.875414655,-179.9989061 -89.8508795838,-179.9989061 -89.8263445126,-179.9989061 -89.8018094414,-179.9989061 -89.7772743702,-179.9989061 -89.752739299))"] | ["POINT(0 -89.999)"] | false | false |
SOAR-Lake Vostok Survey airborne radar data
|
9911617 9978236 |
2020-04-28 | Studinger, Michael S.; Bell, Robin |
Understanding the Boundary Conditions of the Lake Vostok Environment: A Site Survey for Future Work
Continuation of Activities for the Support Office for Aerogeophysical Research (SOAR) |
Processed IcePenetrating Radar Altimeter Shot Data (version 2) acquired during the SOAR Twin Otter expedition SOAR-LVS (2000) This data set was acquired with a IcePenetrating Radar Altimeter during SOAR Twin Otter expedition SOAR-LVS conducted in 2000 (Chief Scientist: Dr. Robin Bell; Investigator(s): Dr. Robin Bell and Dr. Michael Studinger). These data files are of SEGY format and include Reflection Radar shot data and were processed after data collection. Data were acquired as part of the project(s): SOAR-Lake Vostok Survey (LVS) and Understanding the Boundary Conditions of the Lake Vostok Environment: A Site Survey for Future Work | ["POLYGON((101.5 -75.5,102.15 -75.5,102.8 -75.5,103.45 -75.5,104.1 -75.5,104.75 -75.5,105.4 -75.5,106.05 -75.5,106.7 -75.5,107.35 -75.5,108 -75.5,108 -75.85,108 -76.2,108 -76.55,108 -76.9,108 -77.25,108 -77.6,108 -77.95,108 -78.3,108 -78.65,108 -79,107.35 -79,106.7 -79,106.05 -79,105.4 -79,104.75 -79,104.1 -79,103.45 -79,102.8 -79,102.15 -79,101.5 -79,101.5 -78.65,101.5 -78.3,101.5 -77.95,101.5 -77.6,101.5 -77.25,101.5 -76.9,101.5 -76.55,101.5 -76.2,101.5 -75.85,101.5 -75.5))"] | ["POINT(104.75 -77.25)"] | false | false |
Antarctic topographic and subglacial lake geostatistical simulations
|
1745137 |
2019-10-02 | MacKie, Emma; Schroeder, Dustin; Caers, Jef; Siegfried, Matt; Scheidt, Celine |
CAREER: Cross-Instrument Synthesis of Antarctic Radar Sounding Observations |
These data accompany the paper "Antarctic Topographic Realizations and Geostatistical Modeling Used to Map Subglacial Lakes" (MacKie et al., in review). This dataset contains 100 geostatistically generated subglacial topographic realizations for Antarctica. Data science techniques were used to calculate the probability of the occurrence of radar-detected lakes and altimetry-detected (active) lakes across the continent, using each topographic realization as a parameter. This generated 100 probability maps of the likelihood of radar-detected lake occurrence and 100 probability maps of active lake occurrence. Further statistics were used to generate 100 binary maps showing expected radar-detected lake locations. The ensemble of realizations can be used for uncertainty quantification. | ["POLYGON((-180 -60,-144 -60,-108 -60,-72 -60,-36 -60,0 -60,36 -60,72 -60,108 -60,144 -60,180 -60,180 -63,180 -66,180 -69,180 -72,180 -75,180 -78,180 -81,180 -84,180 -87,180 -90,144 -90,108 -90,72 -90,36 -90,0 -90,-36 -90,-72 -90,-108 -90,-144 -90,-180 -90,-180 -87,-180 -84,-180 -81,-180 -78,-180 -75,-180 -72,-180 -69,-180 -66,-180 -63,-180 -60))"] | ["POINT(0 -89.999)"] | false | false |