Oysters size and presence or absence of disease at intertidal and subtidal reefs in Apalachicola Bay and Ocholckonee Bays, FL, July-August 2016 (NCEI Accession 0291930)
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title: Oysters size and presence or absence of disease at intertidal and subtidal reefs in Apalachicola Bay and Ocholckonee Bays, FL, July-August 2016 (NCEI Accession 0291930)
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abstract: This dataset contains biological data collected in the Gulf of Mexico from 2016-07-01 to 2016-08-31. These data include taxon_code. The instruments used to collect these data include Water Quality Multiprobe. These data were collected by David L. Kimbro of Northeastern University, J Wilson White of Oregon State University, and Christopher D. Stallings of University of South Florida as part of the "Collaborative Research: RAPID: Quantifying mechanisms by which Hurricane Michael facilitates a stable-state reversal on oyster reefs (Oyster Reef Reversal)" project. The Biological and Chemical Oceanography Data Management Office (BCO-DMO) submitted these data to NCEI on 2020-10-05. The following is the text of the dataset description provided by BCO-DMO: Survey disease status and sizes Dataset Description: Oysters size and presence or absence of disease from surveys at intertidal and subtidal reefs in Apalachicola Bay and Ocholckonee Bays, Florida, July-August 2016
purpose: This dataset is available to the public for a wide variety of uses including scientific research and analysis.
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supplementalInformation: Acquisition Description: Site Selection- From Hanley et. al 2019, this was a multi-step process that first involved using ArcGIS to partition the bay’s oyster reefs (commercial and non-commercial) into six zones. Zone assignment was based on the reef’s relative distance by water from the river input (near, mid, far) as well as a reef’s east-west orientation to the river (East Apalachicola and West Apalachicola). Next, we randomly selected three reefs out of all possible reefs (including the experimental reefs) within each zone. Surveys- Methods for surveys done from 2013-2016 were taken from Hanley et al. 2019. Surveys 2013-2016: On each reef subtidal reef, we obtained spatially balanced samples by extending four 20 m transects at 90 degree angles from the boat. Along each transect, we overlaid a 0.25 m2 weighted quadrat at the 5, 10, 15, and 20 m marks. For each quadrat, we collected the entire contents of the quadrat into a uniquely labeled mesh bag, transported the bag to the surface, and placed the bag on ice to be processed at the lab. For intertidal reefs, we sampled 2 quadrats per reef, ‘low’ (located at the low water level) and ‘high’ (2 m above the low transect) quadrats centered along a 20 m transect on each reef. Lab Processing of samples collected during the survey: In the laboratory, we processed each quadrat sample to obtain the total mass (g), the size of the first 100 oysters encountered (not all samples contained 100 oysters), the density of all juvenile oysters (length < 25 mm), the density of all adult oysters (length > 25 mm), and the density of recently deceased oysters (valves intact and absence of sessile invertebrates within the internal shell cavity).
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orderingInstructions: Contact NCEI for other distribution options and instructions.
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description: NCEI Accession 0291930 v1.1 was published.
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DateTime: 2024-04-27T17:16:22Z
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description: published 2024-04-27T17:16:22Z
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acquisitionInformation: (MI_AcquisitionInformation)
instrument: (MI_Instrument)
identifier: (MD_Identifier)
code: multi-parameter water quality sensor
type: multi-parameter water quality sensor
description: used to measure temperature, salinity, dissolved oxygen, and other parameters Instrument used to measure temperature, salinity, dissolved oxygen, and other parameters, often used to measure water quality parameters. Can be a hand-held instrument or a sonde for unattended monitoring. Often used in coastal water monitoring stations. YSI is the preeminent brand (as of 2024).
