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2 results for “in situ plankton imaging”

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zenodo40/100

High-throughput in-situ plankton imaging from the East China Sea: raw images and acantharian ROIs

<p>Vertical imaging profiles were performed at four stations (3, 10, 15, 17; closed circles on the map)&nbsp;during&nbsp;the&nbsp;Japan Agency for Marine-Earth Science and Technology (JAMSTEC) MR17-03C cruise from May 29 to June 13, 2017 with an ISIIS small-imager (<a href="https://www.planktonimaging.com/smaller-imagers">https://www.planktonimaging.com/smaller-imagers</a>) attached to the JAMSTEC DEEP TOW 6KCTD (<a href="https://www.jamstec.go.jp/e/about/equipment/ships/deeptow.html">https://www.jamstec.go.jp/e/about/equipment/ships/deeptow.html</a>).&nbsp;The ISIIS camera was programmed to take 1 photo per second coinciding with an LED flash. Each photo imaged 0.39 L (st. 3 and 10) or 0.35 L (st. 15 and 17) parcels of water in 2448 x 2050 pixel resolution, with each pixel being 22.5 &micro;m.&nbsp;A Sea-Bird SBE 9&nbsp;CTD&nbsp;was deployed with the DEEP TOW and the ISIIS internal clock was calibrated to match the CTD&rsquo;s so that CTD data could be used to determine the depth at which each image was taken. Raw images are labeled with the&nbsp;time stamp. Acantharian ROIs are labeled with the timestamp for the raw image from which&nbsp;they were cropped. If more than one acantharian ROI was found in a single raw image, a letter was appended to the ROI file name.&nbsp;</p> <p>Accompanying data (CTD, sequencing) and analyses are available from the GitHub repository:&nbsp;<a href="https://github.com/maggimars/Acanth_ImageSeq">https://github.com/maggimars/Acanth_ImageSeq</a>.</p> <p>&nbsp;</p>

opencc-by-4.0Jan 2020View details →
zenodo36/100

In situ plankton footage for testing image processing routines

<p>This dataset contains 12 video files collected from the deep-focus plankton imager (DPI) version of the in situ ictyoplankton imaging system (ISIIS). These files are intended to be used for testing, validating, and comparing computational pipelines. These videos were collected in the Northern Gulf of Alaska as part of an NSF-sponsored field campaign (NGA LTER).</p>

opencc-by-4.0Nov 2024View details →

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International Brain Laboratory public data

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