{"id":2908,"date":"2024-07-26T11:20:02","date_gmt":"2024-07-26T11:20:02","guid":{"rendered":"https:\/\/www.tun.com\/home\/?p=2908"},"modified":"2024-10-17T17:27:18","modified_gmt":"2024-10-17T17:27:18","slug":"new-visualization-tool-revolutionizes-oceanographic-research","status":"publish","type":"post","link":"https:\/\/www.tun.com\/home\/new-visualization-tool-revolutionizes-oceanographic-research\/","title":{"rendered":"New Visualization Tool Revolutionizes Oceanographic Research"},"content":{"rendered":"\n<div class=\"wp-block-group\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained\">\n<div class=\"wp-block-uagb-blockquote uagb-block-e7eb3fc3 uagb-blockquote__skin-border uagb-blockquote__stack-img-none\"><blockquote class=\"uagb-blockquote\"><div class=\"uagb-blockquote__content\">Adam Coscia, a fourth-year doctoral student at Georgia Tech, has transformed oceanographic research with his interactive data visualization tool, DeepSee, which allows scientists to predict and analyze sediment sample hotspots in deep-sea environments.<\/div><footer><div class=\"uagb-blockquote__author-wrap uagb-blockquote__author-at-left\"><\/div><\/footer><\/blockquote><\/div>\n\n\n\n<div class=\"wp-block-group is-content-justification-space-between is-nowrap is-layout-flex wp-container-core-group-is-layout-0dfbf163 wp-block-group-is-layout-flex\"><div style=\"font-size:16px;\" class=\"has-text-align-left wp-block-post-author\"><div class=\"wp-block-post-author__content\"><p class=\"wp-block-post-author__name\">The University Network<\/p><\/div><\/div>\n\n\n<div class=\"wp-block-uagb-social-share uagb-social-share__outer-wrap uagb-social-share__layout-horizontal uagb-block-ee584a31\">\n<div class=\"wp-block-uagb-social-share-child uagb-ss-repeater uagb-ss__wrapper uagb-block-ec619ce7\"><span class=\"uagb-ss__link\" data-href=\"https:\/\/www.facebook.com\/sharer.php?u=\" tabindex=\"0\" role=\"button\" aria-label=\"facebook\"><span class=\"uagb-ss__source-wrap\"><span class=\"uagb-ss__source-icon\"><svg xmlns=\"https:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 512 512\"><path d=\"M504 256C504 119 393 8 256 8S8 119 8 256c0 123.8 90.69 226.4 209.3 245V327.7h-63V256h63v-54.64c0-62.15 37-96.48 93.67-96.48 27.14 0 55.52 4.84 55.52 4.84v61h-31.28c-30.8 0-40.41 19.12-40.41 38.73V256h68.78l-11 71.69h-57.78V501C413.3 482.4 504 379.8 504 256z\"><\/path><\/svg><\/span><\/span><\/span><\/div>\n\n\n\n<div class=\"wp-block-uagb-social-share-child uagb-ss-repeater uagb-ss__wrapper uagb-block-32d99934\"><span class=\"uagb-ss__link\" data-href=\"https:\/\/twitter.com\/share?url=\" tabindex=\"0\" role=\"button\" aria-label=\"twitter\"><span class=\"uagb-ss__source-wrap\"><span class=\"uagb-ss__source-icon\"><svg xmlns=\"https:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 512 512\"><path d=\"M389.2 48h70.6L305.6 224.2 487 464H345L233.7 318.6 106.5 464H35.8L200.7 275.5 26.8 48H172.4L272.9 180.9 389.2 48zM364.4 421.8h39.1L151.1 88h-42L364.4 421.8z\"><\/path><\/svg><\/span><\/span><\/span><\/div>\n\n\n\n<div class=\"wp-block-uagb-social-share-child uagb-ss-repeater uagb-ss__wrapper uagb-block-1d136f14\"><span class=\"uagb-ss__link\" data-href=\"https:\/\/www.linkedin.com\/shareArticle?url=\" tabindex=\"0\" role=\"button\" aria-label=\"linkedin\"><span class=\"uagb-ss__source-wrap\"><span class=\"uagb-ss__source-icon\"><svg xmlns=\"https:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 448 512\"><path d=\"M416 32H31.9C14.3 32 0 46.5 0 64.3v383.4C0 465.5 14.3 480 31.9 480H416c17.6 0 32-14.5 32-32.3V64.3c0-17.8-14.4-32.3-32-32.3zM135.4 416H69V202.2h66.5V416zm-33.2-243c-21.3 0-38.5-17.3-38.5-38.5S80.9 96 102.2 96c21.2 0 38.5 17.3 38.5 38.5 0 21.3-17.2 38.5-38.5 38.5zm282.1 243h-66.4V312c0-24.8-.5-56.7-34.5-56.7-34.6 0-39.9 27-39.9 54.9V416h-66.4V202.2h63.7v29.2h.9c8.9-16.8 30.6-34.5 62.9-34.5 67.2 0 79.7 44.3 79.7 101.9V416z\"><\/path><\/svg><\/span><\/span><\/span><\/div>\n<\/div>\n<\/div>\n<\/div><\/div>\n\n\n\n<p>A groundbreaking data visualization tool is offering oceanographers and microbial ecologists an unprecedented look at the deep-sea ecosystems they study. Designed by Adam Coscia, a fourth-year doctoral student at Georgia Tech, the tool, called DeepSee, is transforming how researchers predict and analyze sediment sample hotspots.<\/p>\n\n\n\n<p>Initially started as an internship project at NASA, Coscia\u2019s work has evolved into a critical resource under the guidance of an interdisciplinary team from Caltech, the Jet Propulsion Laboratory (JPL) managed by Caltech for NASA and the ArtCenter College of Design.<\/p>\n\n\n\n<p>Victoria Orphan, the leader of the research team at Caltech, is a renowned microbial ecologist with a focus on studying deep-sea microbial communities and their interactions within seafloor sediments. Having faced organizational challenges with historical data sets, Orphan and her team needed a more consolidated approach.<\/p>\n\n\n\n<p>\u201cHistorically, our data sets have been discrete and have lived in separate Excel spreadsheets. Maybe at the end, we\u2019ll do some statistical analysis to find correlations in that data. Then we compare those to our maps,&#8221; Orphan said in a <a href=\"https:\/\/news.gatech.edu\/news\/2024\/07\/11\/visualization-tool-helps-oceanographers-predict-sediment-sample-hotspots\" title=\"\">news release<\/a>. &#8220;We didn\u2019t have a way of consolidating everything under one umbrella that allows us to learn more about these ecosystems.\u201d <\/p>\n\n\n\n<p>To optimize their research expeditions, Orphan\u2019s team annually embarks on voyages off the California coast, using remotely operated vehicles (ROVs) to collect crucial sediment samples. The introduction of DeepSee has revolutionized these expeditions.<\/p>\n\n\n\n<p>\u201cThe idea is once you have the samples, and you\u2019re interested in a specific area with prior samples, you can go in and annotate on the map where to collect samples next with our drawing tool,&#8221; Coscia said in the news release.<\/p>\n\n\n\n<p>DeepSee integrates topographic and photographic data into a user-friendly, interactive web browser that can generate 3D visualization models. This innovative tool not only enhances data organization but also facilitates real-time interaction and note-taking.<\/p>\n\n\n\n<p>\u201cWe focused on the exploration and notetaking process with maps and data and having new ways of visualizing it,\u201d Coscia added. &#8220;Scientists can draw and map out all their samples in real time. They can reference specific data much easier and determine where the team should go to get the best samples.\u201d <\/p>\n\n\n\n<p>Implemented during two recent expeditions, DeepSee has already demonstrated increased efficiency in strategic planning for the Orphan Lab.<\/p>\n\n\n\n<p>\u201cThe infrastructure put in place by Adam will make this an enabling tool not only for my group but for other oceanographers and scientists in other fields \u2014 anywhere there is a spatial distribution of information you want to connect to other metadata,\u201d Orphan said.<\/p>\n\n\n\n<p>DeepSee is also proving invaluable for training new researchers, making the onboarding process more seamless and intuitive.<\/p>\n\n\n\n<p>\u201cWe can onboard them much easier and give them a sense of what data is available and where we\u2019ve collected information in a way that\u2019s much clearer than having them refer to an Excel spreadsheet,\u201d Orphan added.<\/p>\n\n\n\n<p>The tool\u2019s capabilities extend beyond surface-level data visualization, as it can create 3D models under the sea floor, estimating data quality in adjacent locations based on known data points.<\/p>\n\n\n\n<p>\u201cYou would never see anything visually below the sea floor. You\u2019d have to go dig. But our 3D models show you that you might have data suggesting a hotspot just a few feet below the floor. That tells you where to sample next,\u201d Coscia said.<\/p>\n\n\n\n<p>Looking ahead, Coscia aims to integrate machine learning models into DeepSee to further enhance its predictive capabilities, contingent on the accumulation of more data.<\/p>\n\n\n\n<p>DeepSee stands as a beacon of innovation in oceanographic research, heralding a new era of data visualization and efficiency in the field.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>A groundbreaking data visualization tool is offering oceanographers and microbial ecologists an unprecedented look at the deep-sea ecosystems they study. Designed by Adam Coscia, a fourth-year doctoral student at Georgia Tech, the tool, called DeepSee, is transforming how researchers predict and analyze sediment sample hotspots. Initially started as an internship project at NASA, Coscia\u2019s work [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"single-no-separators","format":"standard","meta":{"_acf_changed":false,"_uag_custom_page_level_css":"","_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[24],"tags":[],"class_list":["post-2908","post","type-post","status-publish","format-standard","hentry","category-universe"],"acf":[],"aioseo_notices":[],"uagb_featured_image_src":{"full":false,"thumbnail":false,"medium":false,"medium_large":false,"large":false,"1536x1536":false,"2048x2048":false},"uagb_author_info":{"display_name":"The University Network","author_link":"https:\/\/www.tun.com\/home\/author\/funky_junkie\/"},"uagb_comment_info":0,"uagb_excerpt":"A groundbreaking data visualization tool is offering oceanographers and microbial ecologists an unprecedented look at the deep-sea ecosystems they study. Designed by Adam Coscia, a fourth-year doctoral student at Georgia Tech, the tool, called DeepSee, is transforming how researchers predict and analyze sediment sample hotspots. Initially started as an internship project at NASA, Coscia\u2019s work&hellip;","_links":{"self":[{"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/posts\/2908","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/comments?post=2908"}],"version-history":[{"count":7,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/posts\/2908\/revisions"}],"predecessor-version":[{"id":2992,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/posts\/2908\/revisions\/2992"}],"wp:attachment":[{"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/media?parent=2908"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/categories?post=2908"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/tags?post=2908"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}