[{"awards": "2218996 Collins, Kristina", "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))", "dataset_titles": "conjugate-map", "datasets": [{"dataset_uid": "200564", "doi": "10.5281/zenodo.10056624", "keywords": null, "people": null, "repository": "Zenodo", "science_program": null, "title": "conjugate-map", "url": "https://github.com/KCollins/conjugate_map"}], "date_created": "Sun, 07 Aug 2022 00:00:00 GMT", "description": "Magnetic field variations on the Earth\u2019s surface can be used to remote sense and characterize electrical currents and plasma waves in the near-Earth space environment that can affect technology, for example by inducing currents in power grids. Asymmetries between the space environment in the polar regions of the northern and southern hemispheres can profoundly affect these magnetic field variations. Magnetometers, which measure the strength and direction of magnetic fields, have been installed in the Arctic and Antarctic at opposite ends of the Earth\u2019s magnetic field lines. By looking at data from both sets of magnetometers, researchers can determine whether disturbances in the Earth\u2019s magnetosphere (a region of near-Earth space dominated by the Earth\u2019s magnetic field) caused by the Sun impact the Northern hemisphere, the Southern hemisphere or both, and thus understand the sources of north-south hemisphere asymmetries. Some events that appear in the magnetometer data may be difficult for computers to identify, but easy for people to identify if the data is translated into sound. Researchers will develop a tool for listening to data in a virtual reality environment, so that data from various instruments can be played back, making it easier to explore datasets intuitively. This system will be prototyped using a mixed reality headset for use in both science and education and may be used to analyze data taken at the same time by sensors on the ground and on satellites. This project will examine one particular type of disturbance \u2013 magnetosheath jets \u2013 and its relation to plasma waves by addressing the question \u201cDo magnetosheath jets routinely drive Pc5/Pc6 geomagnetic pulsations?\u201d via the analysis of magnetometer data from geomagnetically conjugate (based on the International Geomagnetic Reference Field, IGRF) Arctic and Antarctic magnetometers. This question will be approached first through traditional plotting and visual analysis, then by presenting datastreams as sound sources situated in a virtual audio environment developed in the Unity game engine and integrated with mixed reality presentation via the Microsoft Hololens platform. This approach will leverage human capabilities for spatial discrimination of sounds to identify geomagnetic pulsations (surface magnetic field variations related to plasma waves in outer space) related to magnetosheath jet events with potentially large north-south hemispheric asymmetries, spatially localized wave activity, and irregular waveforms. The resulting presentation modality will make use of existing repositories of magnetometer data and may potentially be extended to the presentation of synchronous datasets from multiple sensing networks. 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": 180.0, "geometry": "POINT(0 -89.999)", "instruments": null, "is_usap_dc": true, "keywords": "Antarctica; SOLAR/SPACE OBSERVATION SATELLITES; MAGNETIC FIELD; Greenland", "locations": "Antarctica; Greenland", "north": -60.0, "nsf_funding_programs": "Antarctic Astrophysics and Geospace Sciences; Post Doc/Travel", "paleo_time": null, "persons": "Collins, Kristina", "platforms": "SPACE-BASED PLATFORMS \u003e SOLAR/SPACE OBSERVATION SATELLITES", "repo": "Zenodo", "repositories": "Zenodo", "science_programs": null, "south": -90.0, "title": "OPP-PRF: Conjugate Experiment to Explore Magnetospheric Phenomena Via Spatial Sonification and Mixed Reality", "uid": "p0010363", "west": -180.0}]

Help on the Results MapX

This window can be dragged by its header, and can be resized from the bottom right corner.

The Results Map and the Results Table

The Results Map displays the centroids of the geographic bounds of all the results returned by the search.
Results that are displayed in the current map view will be highlighted in blue and brought to the top of the Results Table.
As the map is panned or zoomed, the highlighted rows in the table will update.
If you click on a centroid on the map, it will turn yellow and display a popup with details for that project/dataset - including a link to the landing page. The bounds for the project(s)/dataset(s) selected will be displayed in red. The selected result(s) will be highlighted in red and brought to the top of the table.
The default table sorting order is: Selected, Visible, Date (descending), but this can be changed by clicking on column headers in the table.
Selecting Show on Map for an individual row will both display the geographic bounds for that result on a mini map, and also display the bounds and highlight the centroid on the Results Map.
Clicking the 'Show boundaries' checkbox at the top of the Results Map will display all the bounds for the filtered results.

Defining a search area on the Results Map

If you click on the Rectangle or Polygon icons in the top right of the Results Map, you can define a search area which will be added to any other search criteria already selected.
After you have drawn a polygon, you can edit it using the Edit Geometry dropdown in the search form at the top.
Clicking Clear in the map will clear any drawn polygon.
Clicking Search in the map, or Search on the form will have the same effect.
The returned results will be any projects/datasets with bounds that intersect the polygon.
Use the Exclude project/datasets checkbox to exclude any projects/datasets that cover the whole Antarctic region.

Viewing map layers on the Results Map

Clicking the Layers button - the blue square in the top left of the Results Map - will display a list of map layers you can add or remove from the currently displayed map view.

Search USAP Projects And Datasets

Free Text Search

Repository

Title (free text)

Science Program

Person

Award

NSF Funding Program

Keyword

Spatial Bounds of Data Use the Results Map below to draw a polygon over the required search area, or edit the WKT geometry here:

Any WKT polygon, with longitudes in a 0-360 ° range. Example: Ross Sea is between 160 and 210. Read about the WKT format here.

Exclude projects that cover the whole Antarctic from map-based search

1 record(s) found

Older retrieved projects from AMD. Warning: many have incomplete information.

To sort the table of search results, click the header of the column you wish to search by. To sort by multiple columns, hold down the shift key whilst selecting the sort columns in order.

Project Title/Abstract/Map

NSF Award(s)

Date Created

PIs / Scientists

Dataset Links and Repositories

OPP-PRF: Conjugate Experiment to Explore Magnetospheric Phenomena Via Spatial Sonification and Mixed Reality

2218996

2022-08-07

Collins, Kristina

conjugate-map

Zenodo

Magnetic field variations on the Earth’s surface can be used to remote sense and characterize electrical currents and plasma waves in the near-Earth space environment that can affect technology, for example by inducing currents in power grids. Asymmetries between the space environment in the polar regions of the northern and southern hemispheres can profoundly affect these magnetic field variations. Magnetometers, which measure the strength and direction of magnetic fields, have been installed in the Arctic and Antarctic at opposite ends of the Earth’s magnetic field lines. By looking at data from both sets of magnetometers, researchers can determine whether disturbances in the Earth’s magnetosphere (a region of near-Earth space dominated by the Earth’s magnetic field) caused by the Sun impact the Northern hemisphere, the Southern hemisphere or both, and thus understand the sources of north-south hemisphere asymmetries. Some events that appear in the magnetometer data may be difficult for computers to identify, but easy for people to identify if the data is translated into sound. Researchers will develop a tool for listening to data in a virtual reality environment, so that data from various instruments can be played back, making it easier to explore datasets intuitively. This system will be prototyped using a mixed reality headset for use in both science and education and may be used to analyze data taken at the same time by sensors on the ground and on satellites. This project will examine one particular type of disturbance – magnetosheath jets – and its relation to plasma waves by addressing the question “Do magnetosheath jets routinely drive Pc5/Pc6 geomagnetic pulsations?” via the analysis of magnetometer data from geomagnetically conjugate (based on the International Geomagnetic Reference Field, IGRF) Arctic and Antarctic magnetometers. This question will be approached first through traditional plotting and visual analysis, then by presenting datastreams as sound sources situated in a virtual audio environment developed in the Unity game engine and integrated with mixed reality presentation via the Microsoft Hololens platform. This approach will leverage human capabilities for spatial discrimination of sounds to identify geomagnetic pulsations (surface magnetic field variations related to plasma waves in outer space) related to magnetosheath jet events with potentially large north-south hemispheric asymmetries, spatially localized wave activity, and irregular waveforms. The resulting presentation modality will make use of existing repositories of magnetometer data and may potentially be extended to the presentation of synchronous datasets from multiple sensing networks. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

USAP-DC