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  • Artificial intelligence  (1)
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    Publication Date: 2022-10-31
    Description: Dataset: Eelgrass Shoot Metrics
    Description: These data were collected during ecological field surveys of eelgrass (Zostera marina) meadows along the eastern Pacific from southeastern Alaska to southern California. Parameters measured include seagrass morphology, meadow condition (e.g. shoot densities), and incidence and severity of eelgrass wasting disease. Data were collected within the intertidal area of 32 eelgrass meadows distributed in six regions (five-six meadows sampled in the regions of Alaska, British Columbia, Washington, Oregon, California - Bodega Bay, and California - San Diego). Surveys were conducted in between late June and early August in 2019, 2020, and 2021 by teams from six institutions. The influence of disease on seagrass dynamics is not well understood, and these data can further understanding of the environmental drivers of disease by connecting wasting disease with eelgrass condition across a broad geographic gradient. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/878857
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1829890, NSF Division of Ocean Sciences (NSF OCE) OCE-1829922, NSF Division of Ocean Sciences (NSF OCE) OCE-1829921, NSF Division of Ocean Sciences (NSF OCE) OCE-1829992
    Keywords: Seagrass wasting diSease ; Zostera marina ; Artificial intelligence ; Temperature anomaly ; Intertidal
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
    Location Call Number Limitation Availability
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