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  • 1
    Publication Date: 2022-05-25
    Description: Recent advances in underwater robotics and imaging technology now enable the rapid acquisition of large datasets of near-bottom high-resolution digital imagery. These images provide the potential for developing a non-invasive technique for fisheries data acquisition that reveals the organisms in their natural habitat and can be used to identify important habitat characteristics. Using these large datasets effectively, however, requires the development of computer-based techniques that increase the efficiency of data analysis. This document describes one such tool, FISH_ROCK, which was developed for a group of fisheries researchers using the SeaBED AUV during a research cruise in October 2005. FISH_ROCK is a graphical user interface (GUI) that is executed within Matlab, and allows users digitally generate a database that includes organism identification, quantity, size and distribution as well as details about their habitat. Further development of this GUI will enable its use in different oceanographic environments including the deep sea, and will include modules that perform data analysis.
    Description: Funding was provided by the National Oceanic and Atmospheric Administration under Grant No. AB133F05SE5828.
    Keywords: Benthic organisms ; Bottom photographs ; Database
    Repository Name: Woods Hole Open Access Server
    Type: Technical Report
    Format: 2300110 bytes
    Format: application/pdf
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  • 2
    Publication Date: 2022-05-25
    Description: © The Author(s), 2015. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in GeoResJ 6 (2015): 108-114, doi:10.1016/j.grj.2015.02.012.
    Description: Over the course of a scientific career, a large fraction of the data collected by scientific investigators turns into data at risk of becoming inaccessible to future science. Although a part of the investigators’ data is made available in manuscripts and databases, other data may remain unpublished, non-digital, on degrading or near obsolete digital media, or inadequately documented for reuse. In 2013, Integrated Earth Data Applications (IEDA) provided data rescue mini-awards to three Earth science investigators. IEDA’s user communities in geochemistry, petrology, geochronology, and marine geophysics collect long-tail data, defined as data produced by individuals and small teams for specific projects, tending to be of small volume and initially for use only by these teams, thus being less likely to be easily transferred or reused. Long-tail data are at greater risk of omission from the scientific record. The awarded projects topics were (1) Geochemical and Geochronological data on volcanic rocks from the Fiji, Izu-Bonin-Mariana arc, and Endeavor segments of the global mid-ocean ridge, (2) High-Resolution, Near-bottom Magnetic Field Data, and (3) Geochemistry of Lunar Glasses. IEDA worked closely with the awardees to create a plan for the data rescue, resulting in the registration of hundreds of samples and the entry of dozens of data and documentation files into IEDA data systems. The data were made openly accessible and citable by assigning persistent identifiers for samples and files. The mini-award program proved that a relatively small incentive combined with data facility guidance can motivate investigators to accomplish significant data rescue.
    Description: This work was funded by the IEDA cooperative agreement, U.S. NSF Award0950477.
    Keywords: Data rescue ; Persistent identifiers ; Long-tail data ; Lunar samples ; Analytical geochemistry ; Ocean-bottom magnetics
    Repository Name: Woods Hole Open Access Server
    Type: Article
    Format: application/pdf
    Location Call Number Limitation Availability
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