http://lod.bco-dmo.org/id/dataset/865757
eng; USA
utf8
dataset
Highest level of data collection, from a common set of sensors or instrumentation, usually within the same research project
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
2021-12-03
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
ZooSCAN images of zooplankton collected along physical gradients during OAPS MOCNESS tows during R/V Oceanus cruise OC473 in the northwest Atlantic in 2011 and R/V New Horizon cruise NH1208 in the northeast Pacific in 2012 and imaged in 2021-2022
2024-04-15
publication
2024-04-15
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2024-07-25
publication
https://doi.org/10.26008/1912/bco-dmo.865757.1
Leocadio Blanco-Bercial
Bermuda Institute of Ocean Sciences
principalInvestigator
Amy Maas
Bermuda Institute of Ocean Sciences
principalInvestigator
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
publisher
Cite this dataset as: Blanco-Bercial, L., Maas, A., Gossner, H. (2024) ZooSCAN images of zooplankton collected along physical gradients during OAPS MOCNESS tows during R/V Oceanus cruise OC473 in the northwest Atlantic in 2011 and R/V New Horizon cruise NH1208 in the northeast Pacific in 2012 and imaged in 2021-2022. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2024-04-15 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.865757.1 [access date]
Dataset Description: <p>Acknowledgment:</p>
<p>This dataset utilized samples and data funded by a previous NSF award (OCE-1041068) "Horizontal and Vertical Distribution of Thecosome Pteropods in Relation to Carbonate Chemistry in the Northwest Atlantic and Northeast Pacific (OAPS)" https://www.bco-dmo.org/project/2154.</p> Methods and Sampling: <div>
<p><strong>Location:&nbsp;</strong></p>
<p>Northwestern Atlantic, 0 to 1000m depth, 35N, 52W to 50N, 42W along CLIVAR/WOCE line A20<br />
Northeastern Pacific, 0 to 1000m depth, 50N, 150W to 35N, 135W along CLIVAR/WOCE line P17N<br />
<br />
<strong>Methodology:&nbsp;</strong></p>
<p>To obtain samples, a 1m2 Multiple Opening/Closing Net and Environmental Sensing System&nbsp; (MOCNESS; Wiebe et al., 1985) equipped with nine 150 m nets was deployed during the mid-day and mid-night on cruises carried out as described in dataset "MOC aqui log sheets" (https://www.bco-dmo.org/dataset/3546). Briefly, sampling was at consistent intervals including 1000-800, 800-600, 600-400, 400-200, 200-100, 100-50, 50-25, 25-0m at day/night stations from 35 to 50 N in the northwest Atlantic in 2011, and from 35 and 50N along CLIVAR line P17N&nbsp; in 2012.</p>
<p>Upon retrieval, the catch from each of the eight discrete nets were divided into splits. One-half of a sample was preserved in 95% ethanol, one quarter was preserved in 5% buffered formalin, and one quarter was used for live viewing and picking, and then preserved in 70% ethanol.</p>
<p>A representative subsample of the formalin-preserved zooplankton community from each net were imaged using a ZooSCAN ver. 4 at 4,800 dpi (following the methods in: Gorsky et al., 2010, Vandromme et al., 2012, as detailed in Maas et al. 2021). In order to better represent all size classes in the images, the original sample was divided into three size categories. All individuals larger than 2 cm were selected by eye and scanned separately from all the others ("d1"). The remainder of the sample was sieved through a 1-mm mesh sieve, and both size fractions ("d2" &gt;1000um but excluding d1; "d3" between 150-1000um) were individually scanned. From these smaller size fractions, at least 1500 particles were scanned after subsampling using a Motoda splitter (Motoda, 1959), requiring generation of two separate scans for both size classes. This resulted in a total of five images per net.</p>
</div>
<div>
<p><span style="font-size:13px"><strong>Image names</strong><br />
<br />
Image names include:</span><br />
cruise#_mocnessID_net#_sizefraction_ and _a|b if a replicate and end in _1.tif<br />
<br />
<span style="font-size:13px">Multiple images of the same size fraction were sometimes taken to obtain a sufficient number of particles. These replicates are named a or b. If there is no replicate they don’t have a letter in the image name. An a and b scan were always done for size classes d2 and d3.&nbsp; This was important because the split size is for the sum of a+b (e.g. if a is ¼ and b is ¼, the acq_sub_part will be 0.5).<br />
<br />
Example of image names:</span></p>
<p><span style="font-size:13px">ae1830_m13_n4_d3_a_1.tif&nbsp; [a replicate]<br />
ae1830_m13_n4_d3_b_1.tif&nbsp;&nbsp;</span>[a replicate]<br />
<span style="font-size:13px">ae1830_m13_n5_d1_1.tif&nbsp; &nbsp; &nbsp; </span>[no&nbsp;replicate]<br />
<br />
Related Datasets may contain the "object_id" (the particle/organism id) which is constructed the same way as the image name except it as an additional _#&nbsp;at the end.&nbsp; This additional number in the object_id is added by the ZooProcess software (Hydroptic, 2016).<br />
e.g.<br />
object_id:&nbsp; &nbsp; &nbsp; &nbsp;ae1614_m3_n1_d2_a_1<strong>_100</strong><br />
image_name: ae1614_m3_n1_d2_a_1.tif<br />
<br />
Instruments summaries:</p>
<p>MOCNESS</p>
<p>The Multiple Opening/Closing Net and Environmental Sensing System or MOCNESS is a family of net systems based on the Tucker Trawl principle. There are currently 8 different sizes of MOCNESS in existence which are designed for capture of different size ranges of zooplankton and micro-nekton. Each system is designated according to the size of the net mouth opening and in two cases, the number of nets it carries. The original MOCNESS (Wiebe et al, 1976) was a redesigned and improved version of a system described by Frost and McCrone (1974)(from MOCNESS manual). These nets allow for the discrete sampling of zooplankton at targeted depths while simultaneously capturing data on physical parameters. The MOCNESS used in all sampling for both cruises was a 1m2 (mouth size) rigged as below.&nbsp;</p>
<p>From OC473 Cruise Report (Lawson, et al. (2011),&nbsp;http://hdl.handle.net/1834/43091):</p>
<p>"The MOCNESS was equipped with eight 150-um mesh nets (nets 1-8; borrowed from URI) and one 333-um mesh net (net 0). The underwater unit used was #169. In addition to the standard temperature and conductivity probes the system also had a beta-type strobe-light unit for reducing avoidance of the nets by some zooplankton and possibly small fish.&nbsp; The strobe system has two units each with 12 LED sets (LUXEON Rebel LED) with peak output between 490-520 nm. Seven of the 24 LED sets were no longer working at the start of the sampling. The LEDs are powered by the MOCNESS battery and their pulse width, amplitude, flash rate period, and on/off are controlled by the MOCNESS software. For this cruise the pulse width was 2 ms, the relative amplitude was 99%, and the flash interval was 100 ms."</p>
<p>From NH1208 Cruise Report (Lawson, et al. (2012),&nbsp;http://hdl.handle.net/1834/43090)</p>
<p>"The MOCNESS was equipped with eight 150-um mesh nets (nets 1-8; borrowed from URI) and one 333-um mesh net (net 0). The system was equipped with the standard SeaBird&nbsp; temperature and conductivity probes (units #535 and #120 respectively). The underwater unit used was #169. In addition to the standard temperature and conductivity probes the system also had a beta-type strobe-light unit for reducing avoidance of the nets by some zooplankton and possibly small fish.&nbsp; The strobe system has two units each with 12 LED sets (LUXEON Rebel LED) with peak output between 490-520 nm. Seven of the 24 LED sets were no longer working at the start of the sampling. The LEDs are powered by the MOCNESS battery and their pulse width, amplitude, flash rate period, and on/off are controlled by the MOCNESS software. For this cruise the pulse width was 2 ms, the relative amplitude was 99%, and the flash interval was 100 ms. The strobe unit was only used for the first four tows, after which problems with blowing the underwater unit 5A fuse (a symptom typical of strobe unit problems from the past) led us to disconnect it and not use it for the remainder of the tows."</p>
<p>ZOOSCAN</p>
<p>The ZooSCAN (CNRS patent) system makes use of scanner technology with custom lighting and a watertight scanning chamber into which liquid zooplankton samples can be placed. The scanner recovers a high-resolution, digital image and the sample can be recovered without damage.&nbsp; These digital images can then be investigated by computer processing. While the resolution of the digitized zooplankton images is lower than the image obtained using a binocular microscope, this technique has proven to be more than adequate for large sample sets. Identification of species is done by automatic comparison of the image (vignette) of each individual animal in the scanned image with a library data set which may be built by the investigator for each individual survey or imported from a previous survey. The latest machine learning algorithm allows high recognition levels even if we recommend complementary manual sorting to achieve a high number of taxonomic groups. Scans for this dataset performed with a ZooSCAN&nbsp;(Hydroptic, HYDROPTIC_V4) running with Vuescan (version 9.5.24) and ZooProcess (version 8.22, ImageJ macro suite). Images were taken at either 4800dpi with a narrow frame or 2400dpi with a large frame.&nbsp;</p>
</div>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1948162 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1948162
completed
Leocadio Blanco-Bercial
Bermuda Institute of Ocean Sciences
leocadio@asu.edu
pointOfContact
Amy Maas
Bermuda Institute of Ocean Sciences
508-289-2462
17 Biological Station Ferry Reach
St.George's GE 01
Bermuda
amy.maas@asu.edu
pointOfContact
asNeeded
Dataset Version: 1
Unknown
1m MOCNESS
ZooSCAN ver. 4
theme
None, User defined
MOCNESS1
ZooSCAN
instrument
BCO-DMO Standard Instruments
OC473
NH1208
service
Deployment Activity
western North Atlantic, 35-50 degrees North
transect between 35 and 50N along CLIVAR line P17N
place
Locations
otherRestrictions
otherRestrictions
Access Constraints: none. Use Constraints: Please follow guidelines at: http://www.bco-dmo.org/terms-use Distribution liability: Under no circumstances shall BCO-DMO be liable for any direct, incidental, special, consequential, indirect, or punitive damages that result from the use of, or the inability to use, the materials in this data submission. If you are dissatisfied with any materials in this data submission your sole and exclusive remedy is to discontinue use.
Quantifying the drivers of midwater zooplankton community structure
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1948162
Quantifying the drivers of midwater zooplankton community structure
<p>NSF Award Abstract: </p>
<p>Processes in the midwater region below 200 m depth, also known as the twilight zone, represent a major unknown for the biology and chemistry of the ocean. Studies of animals drifting in the oceans, known as zooplankton, are scarce due to the difficulty and associated time and costs of sampling deep waters. The advent of automated image analysis and genetic tools is leading to a rapid increase in our knowledge of the diversity, abundances and size distribution of communities in shallow waters. However, our understanding of the deeper layers of the ocean is still in its infancy, and there are few studies that combine these three facets of the ecology of the zooplankton. The objective of this project is to leverage existing samples, obtained from previously NSF-funded research in the North Pacific and North Atlantic, to study how the abundances, diversity, and size distribution of zooplankton in the midwater vary with latitude and environmental factors. Automated image analyses provide information on abundance and size, and genetic analyses give unprecedented data on the diversity of the midwater community for the North Atlantic and the North Pacific, from subtropical to subarctic environments. This project provides high quality hands-on training opportunities for at least two undergraduate researchers and generates material for undergraduate and graduate courses. Two workshops train educators on the classroom use of the NSF-funded Biological and Chemical Oceanography Data Management Office (BCO-DMO) open access oceanographic data.</p>
<p>Recent advances in image analysis and metabarcoding of zooplankton communities via new data tools are an opportunity to generate quantitative and predictive relationships between environmental drivers and zooplankton diversity, abundances and size distribution. While this information is available for plankton in epipelagic regions, the focus of this study is on midwater communities, which remain poorly characterized. Obtaining these data is the first step towards a quantitative analysis that assesses the impact of the midwater community on biogeochemical cycles. The project uses archived samples from two cruises conducted in the N. Atlantic and N. Pacific to test hypotheses about how temperature, midwater hypoxia, primary productivity and biogeographic province shape the size class structure, biodiversity and behavior (diurnal vertical migration) of zooplankton communities. These newly-generated image and metabarcoding datasets of the mesozooplankton community from 0-1000 m are cross-comparable with other ocean regions. These data describe how migratory and midwater resident zooplankton communities are structured by environmental variables and demonstrate how this influences their biogeochemical contributions (specifically active flux and midwater attenuation of flux). Data tools generated for the image analysis in combination with metabarcoding has broad application in plankton ecology and allows metanalysis of other datasets. The project is complementary to ongoing national and international projects that seek to describe the function and structure of the midwater. In contrast to existing modeling and process projects, this project covers a moderately large geographic area and thus provides a strong comparative foundation for broader community-wide assessment of the function of zooplankton in the twilight zone.</p>
<p>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.</p>
Zooplankton Gradients
largerWorkCitation
project
eng; USA
oceans
western North Atlantic, 35-50 degrees North; transect between 35 and 50N along CLIVAR line P17N
-144.737
-41.7813
33.5052
50.0913
2011-08-13
2022-01-01
North Atlantic and North Pacific
0
BCO-DMO catalogue of parameters from ZooSCAN images of zooplankton collected along physical gradients during OAPS MOCNESS tows during R/V Oceanus cruise OC473 in the northwest Atlantic in 2011 and R/V New Horizon cruise NH1208 in the northeast Pacific in 2012 and imaged in 2021-2022
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
GB/NERC/BODC > British Oceanographic Data Centre, Natural Environment Research Council, United Kingdom
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
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onLine
dataset
<div>
<p><strong>Location:&nbsp;</strong></p>
<p>Northwestern Atlantic, 0 to 1000m depth, 35N, 52W to 50N, 42W along CLIVAR/WOCE line A20<br />
Northeastern Pacific, 0 to 1000m depth, 50N, 150W to 35N, 135W along CLIVAR/WOCE line P17N<br />
<br />
<strong>Methodology:&nbsp;</strong></p>
<p>To obtain samples, a 1m2 Multiple Opening/Closing Net and Environmental Sensing System&nbsp; (MOCNESS; Wiebe et al., 1985) equipped with nine 150 m nets was deployed during the mid-day and mid-night on cruises carried out as described in dataset "MOC aqui log sheets" (https://www.bco-dmo.org/dataset/3546). Briefly, sampling was at consistent intervals including 1000-800, 800-600, 600-400, 400-200, 200-100, 100-50, 50-25, 25-0m at day/night stations from 35 to 50 N in the northwest Atlantic in 2011, and from 35 and 50N along CLIVAR line P17N&nbsp; in 2012.</p>
<p>Upon retrieval, the catch from each of the eight discrete nets were divided into splits. One-half of a sample was preserved in 95% ethanol, one quarter was preserved in 5% buffered formalin, and one quarter was used for live viewing and picking, and then preserved in 70% ethanol.</p>
<p>A representative subsample of the formalin-preserved zooplankton community from each net were imaged using a ZooSCAN ver. 4 at 4,800 dpi (following the methods in: Gorsky et al., 2010, Vandromme et al., 2012, as detailed in Maas et al. 2021). In order to better represent all size classes in the images, the original sample was divided into three size categories. All individuals larger than 2 cm were selected by eye and scanned separately from all the others ("d1"). The remainder of the sample was sieved through a 1-mm mesh sieve, and both size fractions ("d2" &gt;1000um but excluding d1; "d3" between 150-1000um) were individually scanned. From these smaller size fractions, at least 1500 particles were scanned after subsampling using a Motoda splitter (Motoda, 1959), requiring generation of two separate scans for both size classes. This resulted in a total of five images per net.</p>
</div>
<div>
<p><span style="font-size:13px"><strong>Image names</strong><br />
<br />
Image names include:</span><br />
cruise#_mocnessID_net#_sizefraction_ and _a|b if a replicate and end in _1.tif<br />
<br />
<span style="font-size:13px">Multiple images of the same size fraction were sometimes taken to obtain a sufficient number of particles. These replicates are named a or b. If there is no replicate they don’t have a letter in the image name. An a and b scan were always done for size classes d2 and d3.&nbsp; This was important because the split size is for the sum of a+b (e.g. if a is ¼ and b is ¼, the acq_sub_part will be 0.5).<br />
<br />
Example of image names:</span></p>
<p><span style="font-size:13px">ae1830_m13_n4_d3_a_1.tif&nbsp; [a replicate]<br />
ae1830_m13_n4_d3_b_1.tif&nbsp;&nbsp;</span>[a replicate]<br />
<span style="font-size:13px">ae1830_m13_n5_d1_1.tif&nbsp; &nbsp; &nbsp; </span>[no&nbsp;replicate]<br />
<br />
Related Datasets may contain the "object_id" (the particle/organism id) which is constructed the same way as the image name except it as an additional _#&nbsp;at the end.&nbsp; This additional number in the object_id is added by the ZooProcess software (Hydroptic, 2016).<br />
e.g.<br />
object_id:&nbsp; &nbsp; &nbsp; &nbsp;ae1614_m3_n1_d2_a_1<strong>_100</strong><br />
image_name: ae1614_m3_n1_d2_a_1.tif<br />
<br />
Instruments summaries:</p>
<p>MOCNESS</p>
<p>The Multiple Opening/Closing Net and Environmental Sensing System or MOCNESS is a family of net systems based on the Tucker Trawl principle. There are currently 8 different sizes of MOCNESS in existence which are designed for capture of different size ranges of zooplankton and micro-nekton. Each system is designated according to the size of the net mouth opening and in two cases, the number of nets it carries. The original MOCNESS (Wiebe et al, 1976) was a redesigned and improved version of a system described by Frost and McCrone (1974)(from MOCNESS manual). These nets allow for the discrete sampling of zooplankton at targeted depths while simultaneously capturing data on physical parameters. The MOCNESS used in all sampling for both cruises was a 1m2 (mouth size) rigged as below.&nbsp;</p>
<p>From OC473 Cruise Report (Lawson, et al. (2011),&nbsp;http://hdl.handle.net/1834/43091):</p>
<p>"The MOCNESS was equipped with eight 150-um mesh nets (nets 1-8; borrowed from URI) and one 333-um mesh net (net 0). The underwater unit used was #169. In addition to the standard temperature and conductivity probes the system also had a beta-type strobe-light unit for reducing avoidance of the nets by some zooplankton and possibly small fish.&nbsp; The strobe system has two units each with 12 LED sets (LUXEON Rebel LED) with peak output between 490-520 nm. Seven of the 24 LED sets were no longer working at the start of the sampling. The LEDs are powered by the MOCNESS battery and their pulse width, amplitude, flash rate period, and on/off are controlled by the MOCNESS software. For this cruise the pulse width was 2 ms, the relative amplitude was 99%, and the flash interval was 100 ms."</p>
<p>From NH1208 Cruise Report (Lawson, et al. (2012),&nbsp;http://hdl.handle.net/1834/43090)</p>
<p>"The MOCNESS was equipped with eight 150-um mesh nets (nets 1-8; borrowed from URI) and one 333-um mesh net (net 0). The system was equipped with the standard SeaBird&nbsp; temperature and conductivity probes (units #535 and #120 respectively). The underwater unit used was #169. In addition to the standard temperature and conductivity probes the system also had a beta-type strobe-light unit for reducing avoidance of the nets by some zooplankton and possibly small fish.&nbsp; The strobe system has two units each with 12 LED sets (LUXEON Rebel LED) with peak output between 490-520 nm. Seven of the 24 LED sets were no longer working at the start of the sampling. The LEDs are powered by the MOCNESS battery and their pulse width, amplitude, flash rate period, and on/off are controlled by the MOCNESS software. For this cruise the pulse width was 2 ms, the relative amplitude was 99%, and the flash interval was 100 ms. The strobe unit was only used for the first four tows, after which problems with blowing the underwater unit 5A fuse (a symptom typical of strobe unit problems from the past) led us to disconnect it and not use it for the remainder of the tows."</p>
<p>ZOOSCAN</p>
<p>The ZooSCAN (CNRS patent) system makes use of scanner technology with custom lighting and a watertight scanning chamber into which liquid zooplankton samples can be placed. The scanner recovers a high-resolution, digital image and the sample can be recovered without damage.&nbsp; These digital images can then be investigated by computer processing. While the resolution of the digitized zooplankton images is lower than the image obtained using a binocular microscope, this technique has proven to be more than adequate for large sample sets. Identification of species is done by automatic comparison of the image (vignette) of each individual animal in the scanned image with a library data set which may be built by the investigator for each individual survey or imported from a previous survey. The latest machine learning algorithm allows high recognition levels even if we recommend complementary manual sorting to achieve a high number of taxonomic groups. Scans for this dataset performed with a ZooSCAN&nbsp;(Hydroptic, HYDROPTIC_V4) running with Vuescan (version 9.5.24) and ZooProcess (version 8.22, ImageJ macro suite). Images were taken at either 4800dpi with a narrow frame or 2400dpi with a large frame.&nbsp;</p>
</div>
Specified by the Principal Investigator(s)
<p>Scans were processed using ZooProcess (version 8.22, ImageJ macro suite). The "Convert and process from RAW" function was used to separate particles into individual vignettes and generate a suite of measurements for each particle. "Doubles" (vignettes containing more than one particle) were manually separated in the software and reprocessed.&nbsp;</p>
Specified by the Principal Investigator(s)
Version 1:
* All raw scan images were bundled into zip files named by <cruise_id>_<mocness_id>.zip
* The filesize and md5 checksum was added to the image metadata table.
** After images were transferred to BCO-DMO, a file inventory was made containing the filename, filesize in bytes, and checksum (md5sum). This file inventory table was joined with the provided metadata table to verify the file collection is complete without any missing files.
* an additional supplemental file was added containing metadata for each file (including zips) which includes file access links to aid in programmatic download of all image bundles in the dataset once the dataset is released.
Specified by BCO-DMO Data Managers
asNeeded
7.x-1.1
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
1m MOCNESS
1m MOCNESS
PI Supplied Instrument Name: 1m MOCNESS Instrument Name: MOCNESS1 Instrument Short Name:MOC1 Instrument Description: The Multiple Opening/Closing Net and Environmental Sensing System or MOCNESS is a family of net systems based on the Tucker Trawl principle. The MOCNESS-1 carries nine 1-m2 nets usually of 335 micrometer mesh and is intended for use with the macrozooplankton. All nets are black to reduce contrast with the background. A motor/toggle release assembly is mounted on the top portion of the frame and stainless steel cables with swaged fittings are used to attach the net bar to the toggle release. A stepping motor in a pressure compensated case filled with oil turns the escapement crankshaft of the toggle release which sequentially releases the nets to an open then closed position on command from the surface. -- from the MOCNESS Operations Manual (1999 + 2003). Community Standard Description: http://vocab.nerc.ac.uk/collection/L22/current/NETT0097/
ZooSCAN ver. 4
ZooSCAN ver. 4
PI Supplied Instrument Name: ZooSCAN ver. 4 PI Supplied Instrument Description:http://www.hydroptic.com/index.php/public/Page/product_item/ZOOSCAN
A representative subsample of the formalin-preserved zooplankton community from each net were imaged using a ZooSCAN ver. 4 at either 4,800 dpi with a narrow frame, or 2400 dpi with a large frame (following the methods in: Gorsky et al., 2010, Vandromme et al., 2012, as detailed in Maas et al. 2021). Instrument Name: ZooSCAN Instrument Short Name: Instrument Description: Description excerpt from Hydroptic website
http://www.hydroptic.com/index.php/public/Page/product_item/ZOOSCAN
The ZooSCAN (CNRS patent) system makes use of scanner technology with custom lighting and a watertight scanning chamber into which liquid zooplankton samples can be placed. The scanner recovers a high-resolution, digitial image and the sample can be recovered without damage. These digital images can then be investigated by computer processing. While the resolution of the digitized zooplankton images is lower than the image obtained using a binocular microscope this technique has proved to be more than adequate for large sample sets. Identification of species is done by automatic comparison of the image (vignette) of each individual animal in the scanned image with a library data set which may be built by the investigator for each individual survey or imported from a previous survey. The latest machine learning algorithm allows high recognition levels even if we recommend complementary manual sorting to achieve a high number of taxonomic groups.
Cruise: OC473
OC473
R/V Oceanus
Community Standard Description
International Council for the Exploration of the Sea
R/V Oceanus
vessel
OC473
Gareth Lawson
Woods Hole Oceanographic Institution
http://hdl.handle.net/1834/43091
Report describing OC473
Cruise: NH1208
NH1208
R/V New Horizon
Community Standard Description
International Council for the Exploration of the Sea
R/V New Horizon
vessel
NH1208
Gareth Lawson
Woods Hole Oceanographic Institution
http://hdl.handle.net/1834/43090
Report describing NH1208
R/V Oceanus
Community Standard Description
International Council for the Exploration of the Sea
R/V Oceanus
vessel
R/V New Horizon
Community Standard Description
International Council for the Exploration of the Sea
R/V New Horizon
vessel