http://lod.bco-dmo.org/id/dataset/857891
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
2021-08-05
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
ZooSCAN output from of imaged zooplankton collected during BATS MOCNESS tows during R/V Atlantic Explorer cruises AE1614, AE1712, AE1830, and AE1819 in the vicinity of the Bermuda Atlantic Time-series Study from 2016 to 2018
2021-10-05
publication
2021-10-05
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2021-11-05
publication
https://doi.org/10.26008/1912/bco-dmo.857891.1
Leocadio Blanco-Bercial
Bermuda Institute of Ocean Sciences
principalInvestigator
Amy Elizabeth 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. (2021) ZooSCAN output from of imaged zooplankton collected during BATS MOCNESS tows during R/V Atlantic Explorer cruises AE1614, AE1712, AE1830, and AE1819 in the vicinity of the Bermuda Atlantic Time-series Study from 2016 to 2018. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2021-10-05 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.857891.1 [access date]
Methods and Sampling: <p><span style="font-size:13px"><strong>Methodology: </strong></span></p>
<p><em>To obtain samples, a 1 m Multiple Opening/Closing Net and Environmental Sensing System &nbsp;(MOCNESS; Wiebe et al., 1985) equipped with 150 m nets was deployed during the mid-day and mid-night on cruises carried out in the vicinity of the Bermuda Atlantic Time-series Study site (BATS) in July of 2016, 2017, and 2018 as well as October 2018 (eight casts in total, 63 discrete nets; Table 1). The net sampling plan used adaptive profiling, modifying the depth of closure to capture eight distinct ecological zones from surface to 1000 m depth: e.g. the thermocline, deep chl-a maximum (DCM), above the O2 minimum, within the O2 minimum core, and below the O2 minimum (Maas et al., 2014, Steinberg et al., 2008a). The actual tow depths were set on a cruise-by-cruise basis, using CTD profiles to determine the depths of each ecological zone. Upon retrieval, the catch from each of the eight discrete nets were divided into splits. Half were preserved in 95% undenatured ethanol and the remainder preserved in buffered 4% formalin in seawater.</em></p>
<p><em>A representative subsample of the zooplankton community from each net were imaged from the formalin-preserved samples, then measured, using a ZooSCAN ver. 3 at 4,800 dpi (following the methods in: Gorsky et al., 2010, Vandromme et al., 2012). 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. The remainder of the sample was sieved through a 1-mm mesh sieve, and both size fractions 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. Raw images were then processed in ZooProcess (Gorsky et al., 2010, Vandromme et al., 2012), and the resulting vignettes, along with a measurement and metadata file, were uploaded to EcoTaxa (https://ecotaxa.obs-vlfr.fr/; Picheral et al., 2017) for machine-assisted identification, using a training set developed by the authors. The taxonomy of one paired set of tows was completely validated (July 2017). For the remaining tows taxonomy is based on the Ecotaxa prediction using this 2017 training set.</em><br />
<br />
<strong>Object_id and imagenames:</strong></p>
<div>Related Datasets may contain the image name which is constructed the same way as the object_id in this dataset&nbsp;except it does not have the additional&nbsp;_# at the end, and the imagename ends in the&nbsp;.tif extension.&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 />
<strong>Instruments:</strong>&nbsp;<em>ZooSCAN ver. 3, 1m MOCNESS</em><br />
<br />
<strong>Problem report: </strong>During the July 2018 cruise the top net of the night cast failed, and consequently data from this net is absent.</div>
Funding provided by Simons Foundation (Simons) Award Number: unknown SCOPE Simons Award URL: https://www.simonsfoundation.org/
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1829318 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1829318
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 Elizabeth Maas
Bermuda Institute of Ocean Sciences
508-289-2462
17 Biological Station Ferry Reach
St.George's GE 01
Bermuda
amaas4@asu.edu
pointOfContact
asNeeded
Dataset Version: 1
Unknown
object_lat
object_lon
object_date
object_time
object_depth_min
object_depth_max
object_annotation_hierarchy
object_area
object_major
object_minor
object_feret
object_esd
sample_tot_vol
acq_sub_part
object_id
ISO_DateTime_UTC
1m MOCNESS
ZooSCAN ver. 3
theme
None, User defined
latitude
longitude
date
time of day
depth
taxon
image_analysis
ESD (Equivalent spherical diameter)
volume
count
sample description
ISO_DateTime_UTC
featureType
BCO-DMO Standard Parameters
MOCNESS
ZooSCAN
instrument
BCO-DMO Standard Instruments
AE1614
AE1712
AE1830
AE1819
service
Deployment Activity
Bermuda
BATS, Bermuda
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.
Collaborative Research: Diel physiological rhythms in a tropical oceanic copepod
https://osprey.bco-dmo.org/project/764114
Collaborative Research: Diel physiological rhythms in a tropical oceanic copepod
<p><em>NSF Award Abstract:</em><br />
The daily vertical migration (DMV) of zooplankton and fish across hundreds of meters between shallow and deep waters is a predominant pattern in pelagic ecosystems. This migration has consequences for biogeochemical cycling as it moves a substantial portion of fixed carbon and nitrogen (an estimated 15 to 40 % of the total global organic export) from the surface directly to depth where it feeds the midwater food chain and sequesters nutrients away from atmospheric mixing. Estimates and predictions of these fluxes are, however, poorly understood at present. New observations have shown that one source of uncertainty is due to the assumption that metabolic rates and processes do not vary over the course of the day, except based on changes in temperature and oxygen availability. Rates are, however, also driven by differences in feeding, swimming behavior, and underlying circadian cycles. The objective of this project is to improve the ability of scientists to understand and predict zooplankton contributions to the movement of carbon and nitrogen in the ocean by detailing daily changes in physiological processes of these organisms. By producing a set of respiration and excretion measurements over a daily time series, paired with simultaneously collected gene and protein expression patterns for an abundant vertically migratory species, the investigators will provide unprecedented and predictive insight into how changes in the environment affect the contribution of zooplankton to biogeochemical fluxes. The sampling design of the project will advance discovery and understanding by providing hands-on training opportunities to at least two undergraduate researchers. The project will broaden dissemination of the research via development of an educational module, focusing on rhythms in the ocean. The module will initially be piloted with the Bermuda Institute of Ocean Sciences (BIOS) summer camp students and then disseminated through the BIOS Explorer program, the Teacher Resources Page on the BIOS website, and published in a peer-reviewed educational journal.</p>
<p>This project will characterize the metabolic consequences of daily physiological rhythms and DVM for a model zooplankton species, the abundant subtropical copepod Pleuromamma xiphias. Flux processes (oxygen consumption, carbon dioxide production, production of ammonium and fecal pellet production) will be interrogated using directed experiments testing the effects of temperature, feeding and circadian cycle. Circadian cycling will further be examined using transcriptomic and proteomic profiling. These experiments will be related to field samples taken at 6-h intervals over the course of the diel migration using an integrated suite of molecular and organismal metrics. Combined organismal, transcriptomic and proteomic profiles will provide an understanding of which metabolic pathways and associated flux products vary in relation to particular environmental variables (food, light cycle, temperature). Diel variation in metabolic rates will also be assessed across seasons and species using other important migratory groups (pteropod, euphausiid, and another copepod). The metabolic data will then be contextualized with abundance estimates from archived depth-stratified tows to allow scaling to community-level patterns and will be used to improve calculations of zooplankton contribution to particulate organic carbon, nitrogen and respiratory active flux. The results of this study will both improve our flux estimates and provide predictive insight into how various environmental variables influence the underlying physiological pathways generating carbon and nitrogen flux.</p>
<p><strong>Cruise reports are available from the completed cruises:</strong><br />
<a href="https://www.bco-dmo.org/deployment/764871" target="_blank">SD031019</a><br />
<a href="https://www.bco-dmo.org/deployment/772516" target="_blank">AE1910</a><br />
<a href="https://www.bco-dmo.org/deployment/781440" target="_blank">AE1918</a></p>
<p><strong>Educational Resources are available for this project:</strong></p>
<p>BIOS DataBytes: <a href="https://bios.asu.edu/databytes/zooplankton-vertical-migration">Zooplankton Vertical Migration</a></p>
Zooplankton Diel Rhythm
largerWorkCitation
project
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
Bermuda Institute of Ocean Sciences Simons Collaboration on Ocean Processes and Ecology
http://scope.bios.edu/
Bermuda Institute of Ocean Sciences Simons Collaboration on Ocean Processes and Ecology
<p>The aim of BIOS-SCOPE is to expand knowledge about the BATS ecosystem and achieve a better understanding of ocean food web sources, sinks and transformations of DOM. Advances in knowledge and technology now poise us to investigate the specific mechanisms of DOM incorporation, oxidation and transformation by zooplankton and the distinct microbial plankton communities that have been discovered at BATS.</p>
<p>The overarching goal of the BIOS-SCOPE is to form and foster collaborations of cross disciplinary science that utilize a broad suite of genomic, chemical, ecological, and biogeochemical approaches to evaluate microbial process, structure and function on various scales. These scales will range from organism-compound and organism-organism interactions to large biogeochemical patterns on the ecosystem scale. For this purpose we have assembled a cross-disciplinary team including microbial oceanographers (Carlson and Giovannoni), a chemical oceanographer (Kujawinski), biological oceanographer / zooplankton ecologists (Maas and Blanco-Bercial) and microbial bioinformatician (Temperton) with the expertise and technical acuity that are needed to study complex interactions between food web processes, microbes and DOM quantity and quality in the oligotrophic ocean. This scientific team has a vision of harnessing this potential to produce new discoveries that provide a mechanistic understanding of the carbon cycle and explain the many emergent phenomenon that have yet to be understood.</p>
<p>For additional details:</p>
<ul>
<li><em><strong>BIOS-SCOPE Narrative</strong>: <br />
<a href="https://datadocs.bco-dmo.org/docs/302/BIOSSCOPE/data_docs/BIOS-SCOPE_Narrative_FINAL.pdf">https://datadocs.bco-dmo.org/docs/302/BIOSSCOPE/data_docs/BIOS-SCOPE_Narrative_FINAL.pdf</a></em></li>
<li><em><strong>Physical Framework</strong>:<br />
<a href="https://datadocs.bco-dmo.org/docs/302/BIOSSCOPE/data_docs/Physical_Framework.pdf">https://datadocs.bco-dmo.org/docs/302/BIOSSCOPE/data_docs/Physical_Framework.pdf</a></em></li>
</ul>
<p>BIOSSCOPE I: November 1st, 2015 through October 31st, 2020<br />
Current: November 1st, 2020 to October 31st, 2025</p>
BIOSSCOPE
largerWorkCitation
project
eng; USA
oceans
Bermuda; BATS, Bermuda
-64.7935
-64.0621
31.666
32.3065
2016-07-11
2018-10-30
From projects that focused on the following 3 locations: 1. Bermuda 2. North Atlantic and North Pacific 3. North Atlantic Subtropical Gyre, Bermuda Atlantic Time Series (BATS) site
0
BCO-DMO catalogue of parameters from ZooSCAN output from of imaged zooplankton collected during BATS MOCNESS tows during R/V Atlantic Explorer cruises AE1614, AE1712, AE1830, and AE1819 in the vicinity of the Bermuda Atlantic Time-series Study from 2016 to 2018
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
http://lod.bco-dmo.org/id/dataset-parameter/857999.rdf
Name: object_lat
Units: decimal degrees
Description: <p>Latitude of collection</p>
http://lod.bco-dmo.org/id/dataset-parameter/858000.rdf
Name: object_lon
Units: decimal degrees
Description: <p>Longitude of collection</p>
http://lod.bco-dmo.org/id/dataset-parameter/858001.rdf
Name: object_date
Units: unitless
Description: <p>Date of Collection in format yyyymmdd</p>
http://lod.bco-dmo.org/id/dataset-parameter/858002.rdf
Name: object_time
Units: unitless
Description: <p>Time of Collection in format hhmmss</p>
http://lod.bco-dmo.org/id/dataset-parameter/858003.rdf
Name: object_depth_min
Units: m
Description: <p>Minimum depth of net collection</p>
http://lod.bco-dmo.org/id/dataset-parameter/858004.rdf
Name: object_depth_max
Units: m
Description: <p>Maximum depth of net collection</p>
http://lod.bco-dmo.org/id/dataset-parameter/858005.rdf
Name: object_annotation_hierarchy
Units: unitless
Description: <p>Taxonomic classification (predicted except for AE1712 which was validated)</p>
http://lod.bco-dmo.org/id/dataset-parameter/858006.rdf
Name: object_area
Units: pix^2
Description: <p>Object area in pixels</p>
http://lod.bco-dmo.org/id/dataset-parameter/858007.rdf
Name: object_major
Units: pix
Description: <p>Object major axis length in pixels</p>
http://lod.bco-dmo.org/id/dataset-parameter/858008.rdf
Name: object_minor
Units: pix
Description: <p>Object minor axis length in pixels</p>
http://lod.bco-dmo.org/id/dataset-parameter/858009.rdf
Name: object_feret
Units: pix
Description: <p>Object Maximum feret diameter, i.e., the longest distance between any two points along the object boundary in pixels</p>
http://lod.bco-dmo.org/id/dataset-parameter/858010.rdf
Name: object_esd
Units: pix
Description: <p>Object Equivalent Spherical Diameter</p>
http://lod.bco-dmo.org/id/dataset-parameter/858011.rdf
Name: sample_tot_vol
Units: m^3
Description: <p>Volume filtered</p>
http://lod.bco-dmo.org/id/dataset-parameter/858012.rdf
Name: acq_sub_part
Units: number of splits
Description: <p>number of splits</p>
http://lod.bco-dmo.org/id/dataset-parameter/863696.rdf
Name: object_id
Units: unknown
Description: <p>Particle identifier (cruise#_mocnessID_net#_sizefraction_image#)</p>
http://lod.bco-dmo.org/id/dataset-parameter/863697.rdf
Name: ISO_DateTime_UTC
Units: %Y-%m-%dT%H:%M:%SZ
Description: <p>Datetime (UTC) of Collection in ISO 8601 format yyyy-mm-ddTHH:MMZ.</p>
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
30211
https://darchive.mblwhoilibrary.org/bitstream/1912/27710/1/image_sample_information.csv
download
33041568
https://darchive.mblwhoilibrary.org/bitstream/1912/27710/2/dataset-857891_zooscan-mocness-bats-m3-m13__v1.tsv
download
https://doi.org/10.26008/1912/bco-dmo.857891.1
download
onLine
dataset
<p><span style="font-size:13px"><strong>Methodology: </strong></span></p>
<p><em>To obtain samples, a 1 m Multiple Opening/Closing Net and Environmental Sensing System &nbsp;(MOCNESS; Wiebe et al., 1985) equipped with 150 m nets was deployed during the mid-day and mid-night on cruises carried out in the vicinity of the Bermuda Atlantic Time-series Study site (BATS) in July of 2016, 2017, and 2018 as well as October 2018 (eight casts in total, 63 discrete nets; Table 1). The net sampling plan used adaptive profiling, modifying the depth of closure to capture eight distinct ecological zones from surface to 1000 m depth: e.g. the thermocline, deep chl-a maximum (DCM), above the O2 minimum, within the O2 minimum core, and below the O2 minimum (Maas et al., 2014, Steinberg et al., 2008a). The actual tow depths were set on a cruise-by-cruise basis, using CTD profiles to determine the depths of each ecological zone. Upon retrieval, the catch from each of the eight discrete nets were divided into splits. Half were preserved in 95% undenatured ethanol and the remainder preserved in buffered 4% formalin in seawater.</em></p>
<p><em>A representative subsample of the zooplankton community from each net were imaged from the formalin-preserved samples, then measured, using a ZooSCAN ver. 3 at 4,800 dpi (following the methods in: Gorsky et al., 2010, Vandromme et al., 2012). 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. The remainder of the sample was sieved through a 1-mm mesh sieve, and both size fractions 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. Raw images were then processed in ZooProcess (Gorsky et al., 2010, Vandromme et al., 2012), and the resulting vignettes, along with a measurement and metadata file, were uploaded to EcoTaxa (https://ecotaxa.obs-vlfr.fr/; Picheral et al., 2017) for machine-assisted identification, using a training set developed by the authors. The taxonomy of one paired set of tows was completely validated (July 2017). For the remaining tows taxonomy is based on the Ecotaxa prediction using this 2017 training set.</em><br />
<br />
<strong>Object_id and imagenames:</strong></p>
<div>Related Datasets may contain the image name which is constructed the same way as the object_id in this dataset&nbsp;except it does not have the additional&nbsp;_# at the end, and the imagename ends in the&nbsp;.tif extension.&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 />
<strong>Instruments:</strong>&nbsp;<em>ZooSCAN ver. 3, 1m MOCNESS</em><br />
<br />
<strong>Problem report: </strong>During the July 2018 cruise the top net of the night cast failed, and consequently data from this net is absent.</div>
Specified by the Principal Investigator(s)
<p>BCO-DMO data manager processing notes:<br />
* File DATASET_M3_to_M13_BATS_v3Nov21.txt&nbsp;imported into the BCO-DMO data system.<br />
* zero padding time for cases when single digit hour (e.g. 35000-&gt; 035000 meaning 03:50:00).<br />
*&nbsp; local dates and time converted to ISO 8601 formats (yyyy-mm-dd and HH:MM:SS)<br />
* Added timestamp in ISO 8601 format yyyy-mm-ddTHH:MM:SSZ</p>
Specified by the Principal Investigator(s)
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: MOCNESS Instrument Short Name:MOCNESS 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. 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) Community Standard Description: http://vocab.nerc.ac.uk/collection/L22/current/NETT0097/
ZooSCAN ver. 3
ZooSCAN ver. 3
PI Supplied Instrument Name: ZooSCAN ver. 3 PI Supplied Instrument Description:http://www.hydroptic.com/index.php/public/Page/product_item/ZOOSCAN 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: AE1614
AE1614
R/V Atlantic Explorer
Community Standard Description
International Council for the Exploration of the Sea
R/V Atlantic Explorer
vessel
AE1614
Craig A. Carlson
University of California-Santa Barbara
https://datadocs.bco-dmo.org/docs/305/BIOSSCOPE/data_docs/AE1614_CS_narrative_FINAL.pdf
Report describing AE1614
Cruise: AE1712
AE1712
R/V Atlantic Explorer
Community Standard Description
International Council for the Exploration of the Sea
R/V Atlantic Explorer
vessel
AE1712
Craig A. Carlson
University of California-Santa Barbara
https://datadocs.bco-dmo.org/docs/305/BIOSSCOPE/data_docs/AE1712_CS_narrative.pdf
Report describing AE1712
Cruise: AE1830
AE1830
R/V Atlantic Explorer
Community Standard Description
International Council for the Exploration of the Sea
R/V Atlantic Explorer
vessel
AE1830
Maureen H. Conte
Bermuda Institute of Ocean Sciences
Cruise: AE1819
AE1819
R/V Atlantic Explorer
Community Standard Description
International Council for the Exploration of the Sea
R/V Atlantic Explorer
vessel
AE1819
Craig A. Carlson
University of California-Santa Barbara
https://datadocs.bco-dmo.org/docs/305/BIOSSCOPE/data_docs/AE1819_CS_narrative_v1.pdf
Report describing AE1819
R/V Atlantic Explorer
Community Standard Description
International Council for the Exploration of the Sea
R/V Atlantic Explorer
vessel