[
    {
        "id": "authors:bz74j-ya468",
        "collection": "authors",
        "collection_id": "bz74j-ya468",
        "cite_using_url": "https://authors.library.caltech.edu/records/bz74j-ya468",
        "type": "conference_item",
        "title": "DeepSee: Multidimensional Visualizations of Seabed Ecosystems",
        "author": [
            {
                "family_name": "Coscia",
                "given_name": "Adam",
                "orcid": "0000-0002-0429-9295"
            },
            {
                "family_name": "Sapers",
                "given_name": "Haley M.",
                "orcid": "0000-0002-1797-1722",
                "clpid": "Sapers-Haley-M"
            },
            {
                "family_name": "Deutsch",
                "given_name": "Noah",
                "orcid": "0009-0005-8303-834X"
            },
            {
                "family_name": "Khurana",
                "given_name": "Malika",
                "orcid": "0009-0008-7560-741X"
            },
            {
                "family_name": "Magyar",
                "given_name": "John S.",
                "orcid": "0000-0002-3586-8286",
                "clpid": "Magyar-J-S"
            },
            {
                "family_name": "Parra",
                "given_name": "Sergio A.",
                "orcid": "0000-0002-2637-7960",
                "clpid": "Parra-Sergio-A"
            },
            {
                "family_name": "Utter",
                "given_name": "Daniel R.",
                "orcid": "0000-0003-3322-7108",
                "clpid": "Utter-Daniel-R"
            },
            {
                "family_name": "Wipfler",
                "given_name": "Rebecca L.",
                "orcid": "0000-0003-0602-1753",
                "clpid": "Wipfler-Rebecca-L"
            },
            {
                "family_name": "Caress",
                "given_name": "David W.",
                "orcid": "0000-0002-6596-9133"
            },
            {
                "family_name": "Martin",
                "given_name": "Eric J.",
                "orcid": "0000-0002-2398-4503"
            },
            {
                "family_name": "Paduan",
                "given_name": "Jennifer B.",
                "orcid": "0000-0002-4242-5432"
            },
            {
                "family_name": "Hendrie",
                "given_name": "Maggie",
                "orcid": "0009-0001-1916-3761"
            },
            {
                "family_name": "Lombeyda",
                "given_name": "Santiago",
                "orcid": "0000-0003-0684-7889",
                "clpid": "Lombeyda-Santiago"
            },
            {
                "family_name": "Mushkin",
                "given_name": "Hillary",
                "orcid": "0000-0002-1967-1790",
                "clpid": "Mushkin-Hillary"
            },
            {
                "family_name": "Endert",
                "given_name": "Alex",
                "orcid": "0000-0002-6914-610X"
            },
            {
                "family_name": "Davidoff",
                "given_name": "Scott",
                "orcid": "0000-0002-4417-7268",
                "clpid": "Davidoff-Scott"
            },
            {
                "family_name": "Orphan",
                "given_name": "Victoria J.",
                "orcid": "0000-0002-5374-6178",
                "clpid": "Orphan-V-J"
            }
        ],
        "abstract": "<p>Scientists studying deep ocean microbial ecosystems use limited numbers of sediment samples collected from the seafloor to characterize important life-sustaining biogeochemical cycles in the environment. Yet conducting fieldwork to sample these extreme remote environments is both expensive and time consuming, requiring tools that enable scientists to explore the sampling history of field sites and predict where taking new samples is likely to maximize scientific return. We conducted a collaborative, user-centered design study with a team of scientific researchers to develop DeepSee, an interactive data workspace that visualizes 2D and 3D interpolations of biogeochemical and microbial processes in context together with sediment sampling history overlaid on 2D seafloor maps. Based on a field deployment and qualitative interviews, we found that DeepSee increased the scientific return from limited sample sizes, catalyzed new research workflows, reduced long-term costs of sharing data, and supported teamwork and communication between team members with diverse research goals.</p>",
        "doi": "10.1145/3613904.3642001",
        "isbn": "979-8-4007-0330-0",
        "publisher": "ACM",
        "publication": "Proceedings of the CHI Conference on Human Factors in Computing Systems",
        "publication_date": "2024-05-11",
        "pages": "210"
    },
    {
        "id": "authors:zr7jv-sha29",
        "collection": "authors",
        "collection_id": "zr7jv-sha29",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20190830-092706647",
        "type": "conference_item",
        "title": "Calorimetric determination of microbial activity in low-energy environments",
        "author": [
            {
                "family_name": "Amend",
                "given_name": "Jan",
                "orcid": "0000-0003-4953-7776",
                "clpid": "Amend-J-P"
            },
            {
                "family_name": "Feyhl-Buska",
                "given_name": "Jayme",
                "clpid": "Feyhl-Buska-J"
            },
            {
                "family_name": "Wu",
                "given_name": "Fabai",
                "orcid": "0000-0001-5812-5621",
                "clpid": "Wu-Fabai"
            },
            {
                "family_name": "Robador",
                "given_name": "Alberto",
                "clpid": "Robador-A"
            },
            {
                "family_name": "Orphan",
                "given_name": "Victoria",
                "orcid": "0000-0002-5374-6178",
                "clpid": "Orphan-V-J"
            },
            {
                "family_name": "Finkelstein",
                "given_name": "Steven",
                "orcid": "0000-0001-8519-1130",
                "clpid": "Finkelstein-S-L"
            }
        ],
        "abstract": "Calorimetric measurements of heat flow and total heat prodn. can inform on the energetics of microbial activity.  Nanocalorimetry permits such investigations in environments (natural or lab.) where energy supplies are extremely limited and/or very few cells are metabolically active.  We will present nanocalorimetry data obtained during incubations of unamended formation fluids from the oceanic crust (\u223c300 m deep at the Juan de Fuca Ridge flank) and the continental subsurface (\u223c1500 m deep at the Sanford Underground Research Facility in South Dakota).  Enthalpic responses by the resident microbial communities to addn. of org. carbon, inorg. electron donors, and nutrients will also be discussed.  We further used nanocalorimetry on lab. expts. with model organisms to det. the energetics assocd. with carbon, electron donor, and nutrient limitations.  For example, with a sulfate reducing bacterium, we quantified the significant cost during the metabolic transition from ammonium assimilation to N_2 fixation.  In another set of expts., with an evolving population of E. coli mutants that express the GASP (growth advantage in stationary phase) phenotype, we recorded distinct heat events assocd. with the emergence of nascent mutant populations.",
        "publisher": "Caltech Library",
        "publication_date": "2019-04"
    },
    {
        "id": "authors:a1bne-wny48",
        "collection": "authors",
        "collection_id": "a1bne-wny48",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20131101-092236803",
        "type": "conference_item",
        "title": "High resolution profiling of sulfur and oxygen speciation in microbial mats: Implications for coupling of hydrogen peroxide with sulfur species",
        "author": [
            {
                "family_name": "Druschel",
                "given_name": "Greg K.",
                "clpid": "Druschel-G-K"
            },
            {
                "family_name": "Kafantaris",
                "given_name": "Fotios",
                "clpid": "Kafantaris-F"
            },
            {
                "family_name": "Orphan",
                "given_name": "Victoria J.",
                "orcid": "0000-0002-5374-6178",
                "clpid": "Orphan-V-J"
            },
            {
                "family_name": "Houghton",
                "given_name": "Jennifer",
                "clpid": "Houghton-J"
            },
            {
                "family_name": "Fike",
                "given_name": "David A.",
                "orcid": "0000-0003-2848-0328",
                "clpid": "Fike-D-A"
            }
        ],
        "abstract": "Hydrogen sulfide is produced in microbial mats by sulfate reducing bacteria, and diffuses towards the surface\nuntil it is consumed. Cyanobacteria in these mats are able to produce oxygen photochem., and when\nsubjected to high UV light intensity, can also produce hydrogen peroxide. Microelectrodes have proven to have\nsufficient resoln. to resolve the sulfur and oxygen chem. in these mats, demonstrating the links between\nthese populations of bacteria in modern mats. In sulfur-dominated cyanobacterial mats in several settings, we\nhave obsd. both high hydrogen sulfide fluxes and the periodic prodn. of significant amts. of hydrogen peroxide\nat times of high UV stress using voltammetric Au-amalgam microelectrodes. We review the use of voltammetric\nand amperometric microelectrodes in approaching this chem., and how the relative rates of sulfur species\noxidn. with oxygen or peroxide may play a significant role in shaping the chem., isotopic, and biol. compn. of\nthese systems.",
        "publisher": "Caltech Library",
        "publication_date": "2013-04"
    }
]