{
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    "results": [
        {
            "id": 4273,
            "url": "https://svs.gsfc.nasa.gov/4273/",
            "result_type": "Visualization",
            "release_date": "2015-02-24T09:55:00-05:00",
            "title": "CALIPSO observes Saharan dust crossing the Atlantic Ocean",
            "description": "Subtitled visualization depicting Saharan dust travelling across the Atlantic Ocean to the Amazon Basin.  MODIS imagery shows a 2D representation of the dust cloud, which is then compared to CALIPSO data curtains showing dust throughout the air column.  Seasonal dust flux measurements are visualized using particles systems. Finally, average annual dust deposition into the Amazon Basin is shown by Amazon boundary import/export measurements. || Dust_Entire_1080p_60fps.3072_print.jpg (1024x576) [124.9 KB] || Dust_Entire_1080p_60fps.3072_searchweb.png (180x320) [69.8 KB] || Dust_Entire_1080p_60fps.3072_web.png (320x180) [69.8 KB] || Dust_Entire_1080p_60fps.3072_thm.png (80x40) [5.4 KB] || SaharanDust_720p_60fps.mp4 (1280x720) [73.6 MB] || SaharanDust_1080p_60fps.webm (1920x1080) [12.3 MB] || SaharanDust_1080p_60fps.mp4 (1920x1080) [189.6 MB] || entire_4k (3840x2160) [0 Item(s)] || Dust_4k_30fps_2160p.mp4 (3840x2160) [365.9 MB] || ",
            "hits": 161
        },
        {
            "id": 11068,
            "url": "https://svs.gsfc.nasa.gov/11068/",
            "result_type": "Produced Video",
            "release_date": "2012-08-02T14:00:00-04:00",
            "title": "Imported Dust in North American Skies",
            "description": "NASA and university scientists have made the first measurement-based estimate of the amount and composition of tiny airborne particles that arrive in the air over North America each year. With a 3D view of the atmosphere now possible from satellites, the scientists distinguished dust from pollution, and calculated that dust is the main ingredient of these foreign imports. || ",
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        },
        {
            "id": 3437,
            "url": "https://svs.gsfc.nasa.gov/3437/",
            "result_type": "Visualization",
            "release_date": "2007-07-22T00:00:00-04:00",
            "title": "The A-Train Observes Tropical Storm Debby",
            "description": "The A-Train is a group of spacecraft flying in close formation allowing data taken by each instrument to be correlated to the other instruments providing data synergy. The A-Train includes Aqua, CloudSat, CALIPSO, Parasol, and Aura. The animation begins showing the Earth with moving clouds and with a day/night terminator. Time slows down, and A-train spacecraft orbits are added during a daytime pass. The orbits progress around the globe for 12 hours. During a night time pass the camera zooms into Tropical Storm Debby as the A-train flies over on August 24, 2006. Data sets from some of the A-train's spacecraft/instruments are shown including Aqua/MODIS, CloudSat, CALIPSO, and Aqua/AIRS. This visualization was created to support an A-Train session at the 2007 International Geoscience and Remote Sensing Symposium (IGARSS). || ",
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        },
        {
            "id": 3419,
            "url": "https://svs.gsfc.nasa.gov/3419/",
            "result_type": "Visualization",
            "release_date": "2007-04-23T12:00:00-04:00",
            "title": "NAMMA Aircraft Flights from Cape Verde",
            "description": "The NASA African Monsoon Multidisciplinary Analysis (NAMMA) campaign was a field research campaign to study African Easterly waves off the western coast of Africa. A DC-8 aircraft was flown out of the island of Sal, Cape Verde, in August and September 2006, and was outfitted with atmospheric sensors that measured data in this region that could be compared with satellite, balloon, and ground-based sensors to build up a comprehensive picture of the atmosphere in this region. This region is important in that it is one of the primary regions of tropical cyclogenesis, where Atlantic hurricanes form. This animation shows all the flight paths of the DC-8 during this campaign along with the corresponding cloud and satellite data from satellites. || ",
            "hits": 17
        }
    ]
}