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            "id": 5375,
            "url": "https://svs.gsfc.nasa.gov/5375/",
            "result_type": "Visualization",
            "release_date": "2025-08-07T14:00:00-04:00",
            "title": "Carrington Class Coronal Mass Ejection - ENLIL Simulation of A Series of CMEs",
            "description": "A series of visualizations of the simulation of a series of CMEs between July 2012 and August 2012, including a carrington class coronal mass ejection that hit STEREO-A.",
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            "url": "https://svs.gsfc.nasa.gov/5273/",
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            "title": "Atmospheric Carbon Dioxide Tagged by Source for Science-on-a-Sphere",
            "description": "Carbon dioxide (CO2) is the most prevalent greenhouse gas driving global climate change. However, its increase in the atmosphere would be even more rapid without land and ocean carbon sinks, which collectively absorb about half of human emissions every year. Advanced computer modeling techniques in NASA's Global Modeling and Assimilation Office allow us to disentangle the influences of sources and sinks and to better understand where carbon is coming from and going to.",
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            "url": "https://svs.gsfc.nasa.gov/5110/",
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            "title": "Atmospheric Carbon Dioxide Tagged by Source",
            "description": "Carbon dioxide (CO2) is the most prevalent greenhouse gas driving global climate change. However, its increase in the atmosphere would be even more rapid without land and ocean carbon sinks, which collectively absorb about half of human emissions every year.  Advanced computer modeling techniques in NASA's Global Modeling and Assimilation Office allow us to disentangle the influences of sources and sinks and to better understand where carbon is coming from and going to. ||",
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            "url": "https://svs.gsfc.nasa.gov/5040/",
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            "title": "Finding Dust at Night",
            "description": "Data visualization depicting an April 5-8, 2022 dust event using data from DustTracker-AI - a physically-based machine learning model to track dust into the night-time hours. Dust probability is shown as the dust event spans into the night and is then compared with data from NASA’s CALIPSO satellite. || ML_Dust_withCALIPSO.01450_print.jpg (1024x576) [104.0 KB] || ML_Dust_withCALIPSO.01450_searchweb.png (320x180) [77.0 KB] || ML_Dust_withCALIPSO.01450_thm.png (80x40) [5.3 KB] || ML_Dust_withCALIPSO_1080p60.mp4 (1920x1080) [29.3 MB] || ML_Dust_withCALIPSO_1080p60.webm (1920x1080) [5.9 MB] || ML_Dust_withCALIPSO (3840x2160) [128.0 KB] || ML_Dust_withCALIPSO.01450.tif (3840x2160) [63.3 MB] || ML_Dust_withCALIPSO_2160p60.mp4 (3840x2160) [98.2 MB] || ML_Dust_withCALIPSO_2160p60.hwshow [147 bytes] || ML_Dust_withCALIPSO_1080p60.hwshow [95 bytes] || ",
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