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Dataset: ZooSCAN images of zooplankton collected with MOCNESS tows during six R/V Atlantic Explorer cruises in the northwest Atlantic (Sargasso Sea) from 2021 to 2023
Release Date:2025-04-01Final no updates expectedDOI: 10.26008/1912/bco-dmo.932236.1Version 1 (2024-07-11)Dataset Type:Cruise Results
This dataset consists of the raw ZooSCAN images taken of zooplankton caught in the upper 600m using Multiple Opening-Closing Net and Environmental Sensing System (MOCNESS) tows during day- and night-time. These samples were collected over two years, with three cruises a year to capture distinct seasons. The goal of this data was to assess high-resolution vertical distribution of zooplankton in order to distinguish diel vertical migrators from resident populations and to quantify contributions to...
ZooSCAN images of zooplankton collected during MOCNESS tow m35 during R/V Atlantic Explorer cruise AE2306 in the northwest Atlantic in 2023. Images from this tow were bundled and compressed in a zip file bundle.
ae2306_m33.zip (24.04 GB)
ZIP Archive (ZIP)
ZooSCAN images of zooplankton collected during MOCNESS tow m33 during R/V Atlantic Explorer cruise AE2306 in the northwest Atlantic in 2023. Images from this tow were bundled and compressed in a zip file bundle.
ae2224_m31.zip (24.07 GB)
ZIP Archive (ZIP)
ZooSCAN images of zooplankton collected during MOCNESS tow m31 during R/V Atlantic Explorer cruise AE2224 in the northwest Atlantic in 2022. Images from this tow were bundled and compressed in a zip file bundle.
ae2224_m30.zip (24.06 GB)
ZIP Archive (ZIP)
ZooSCAN images of zooplankton collected during MOCNESS tow m30 during R/V Atlantic Explorer cruise AE2224 in the northwest Atlantic in 2022. Images from this tow were bundled and compressed in a zip file bundle.
ae2214_m29.zip (24.07 GB)
ZIP Archive (ZIP)
ZooSCAN images of zooplankton collected during MOCNESS tow m29 during R/V Atlantic Explorer cruise AE2214 in the northwest Atlantic in 2022. Images from this tow were bundled and compressed in a zip file bundle.
ae2214_m28.zip (24.04 GB)
ZIP Archive (ZIP)
ZooSCAN images of zooplankton collected during MOCNESS tow m28 during R/V Atlantic Explorer cruise AE2214 in the northwest Atlantic in 2022. Images from this tow were bundled and compressed in a zip file bundle.
ae2204_m27.zip (24.07 GB)
ZIP Archive (ZIP)
ZooSCAN images of zooplankton collected during MOCNESS tow m27 during R/V Atlantic Explorer cruise AE2204 in the northwest Atlantic in 2022. Images from this tow were bundled and compressed in a zip file bundle.
ae2204_m26.zip (24.08 GB)
ZIP Archive (ZIP)
ZooSCAN images of zooplankton collected during MOCNESS tow m26 during R/V Atlantic Explorer cruise AE2204 in the northwest Atlantic in 2022. Images from this tow were bundled and compressed in a zip file bundle.
ae2124_m25.zip (23.96 GB)
ZIP Archive (ZIP)
ZooSCAN images of zooplankton collected during MOCNESS tow m25 during R/V Atlantic Explorer cruise AE2124 in the northwest Atlantic in 2021. Images from this tow were bundled and compressed in a zip file bundle.
ae2124_m24.zip (23.99 GB)
ZIP Archive (ZIP)
ZooSCAN images of zooplankton collected during MOCNESS tow m24 during R/V Atlantic Explorer cruise AE2124 in the northwest Atlantic in 2021. Images from this tow were bundled and compressed in a zip file bundle.
ae2112_m23.zip (63.86 GB)
ZIP Archive (ZIP)
ZooSCAN images of zooplankton collected during MOCNESS tow m23 during R/V Atlantic Explorer cruise AE2112 in the northwest Atlantic in 2021. Images from this tow were bundled and compressed in a zip file bundle.
ae2112_m22.zip (64.78 GB)
ZIP Archive (ZIP)
ZooSCAN images of zooplankton collected during MOCNESS tow m22 during R/V Atlantic Explorer cruise AE2112 in the northwest Atlantic in 2021. Images from this tow were bundled and compressed in a zip file bundle.
Image sample metadata table for ZooSCAN images (raw scans). Images described in this table are contained within .zip files in this dataset (.zip file per cruise_id and mocness_id).
Parameters (column name, description, units):
image_name,Image name, unitless
cruise_id,Cruise identifier, unitless
mocness_id,MOCNESS tow identifier,unitless
net_id,Net identifier,unitless
size_fraction,Size fraction (e.g. d3). See methodology,unitless
replicate,Replicate (see methodology),unitless
lat,Latitude,decimal degrees
lon,Longitude,decimal degrees
date, Date (local) in time zone AST (UTC-4)/ADT (UTC-3) in format YYYY-MM-DD,unitless
time, Time (local) in time zone AST (UTC-4)/ADT (UTC-3) in format hh:mm:ss
ISO_DateTime_UTC,Datetime in timezone UTC in ISO 8601 format YYYY-MM-DDThh:mm:ssZ
filesize_bytes, Filesize in bytes
md5sum, checksum (md5) for the file. Can be used to verify the integrity of the file after transfers.
932236_v1_file_manifest.csv (6.36 KB)
Comma Separated Values (.csv)
Manifest of all files attached to this dataset including the downloadURL for all 12 .zip files and image metadata table table (csv).
Columns in manifest file: filename,FileType,downloadURL,mediatype,bytes,hash (md5 checksum),description,cruise_id,mocness_id,lat,lon,ISO_DateTime_UTC,first_image (within image .zip file)
See additional metadata within the "description" column of this manifest table.
One pair of 1m2 MOCNESS (Multiple Open Closing Nets with Environmental Sensor System) tows were performed during each cruise- one during the day, and one at night (MOCNESS, Wiebe et al, 1985). Nets with 150um mesh were used to better capture the smaller midwater zooplankton community in the region. Eight nets were fired in sequence along the upcast to capture spatially discrete zooplankton samples between 600m and the surface. While nets one, two, and three consistently targeted depths of 600-500m, 500m-400m, and 400-300m, depths for nets four through eight varied based on hydrographic features including the thermocline, deep chlorophyll maximum, and oxygen minimum zone (Maas et al, 2014, Steinberg et al, 2008). Once onboard, samples were split in two using a Motoda splitter (Motoda, 1959) with half preserved with sodium tetraborate buffered 4% formalin in seawater to be scanned with a ZooSCAN (Gorsky et al, 2010) and half placed in 95% undenatured ethanol for metabarcoding.
A representative subsample of the formalin-preserved zooplankton community from each net were imaged using a ZooSCAN ver. 4 at either 4,800 dpi or 2,400 dpi (following the methods in: Gorsky et al., 2010, Vandromme et al., 2012 as detailed in Maas et al. 2021). The change in resolution partway through the project was a result of recommendations from Hydroptic and loss of software support for 4800dpi imaging. 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 (fraction "d1"). The remainder of the sample was sieved through a 1-mm mesh sieve, and both size fractions were individually scanned ("d2" >1000um, "d3" 153-1000um). 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.
Image names:
Image names include:
cruise#_mocnessID_net#_sizefraction_ and _a|b if a replicate and end in _raw_1.tif
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. 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).
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 _# at the end. This additional number in the object_id is added by the ZooProcess software (Hydroptic, 2016).
e.g.
object_id: ae1614_m3_n1_d2_a_1_100
image_name: ae1614_m3_n1_d2_a_1.tif
Blanco-Bercial, L., Maas, A., Gossner, H. (2024) ZooProcess and Ecotaxa output from ZooSCANs of zooplankton collected with MOCNESS tows during six R/V Atlantic Explorer cruises from 2021 to 2023. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2024-07-08 doi:10.26008/1912/bco-dmo.931883.1
Related Publications
Results
Maas, A. E., Gossner, H., Smith, M. J., & Blanco-Bercial, L. (2021). Use of optical imaging datasets to assess biogeochemical contributions of the mesozooplankton. Journal of Plankton Research, 43(3), 475–491. doi:10.1093/plankt/fbab037
Methods
Gorsky, G., Ohman, M. D., Picheral, M., Gasparini, S., Stemmann, L., Romagnan, J.-B., … Prejger, F. (2010). Digital zooplankton image analysis using the ZooScan integrated system. Journal of Plankton Research, 32(3), 285–303. doi:10.1093/plankt/fbp124
Methods
Maas, A. E., Frazar, S. L., Outram, D. M., Seibel, B. A., & Wishner, K. F. (2014). Fine-scale vertical distribution of macroplankton and micronekton in the Eastern Tropical North Pacific in association with an oxygen minimum zone. Journal of Plankton Research, 36(6), 1557–1575. doi:10.1093/plankt/fbu077
Methods
Motoda, S. (1959) Devices of simple plankton apparatus. Memoirs of the Faculty of Fisheries Hokkaido University, 7, 73-94. Available from http://hdl.handle.net/2115/21829.
Methods
Steinberg, D. K., Cope, J. S., Wilson, S. E., & Kobari, T. (2008). A comparison of mesopelagic mesozooplankton community structure in the subtropical and subarctic North Pacific Ocean. Deep Sea Research Part II: Topical Studies in Oceanography, 55(14-15), 1615–1635. doi:10.1016/j.dsr2.2008.04.025
Maas, A., Blanco-Bercial, L. (2024) ZooSCAN images of zooplankton collected with MOCNESS tows during six R/V Atlantic Explorer cruises in the northwest Atlantic (Sargasso Sea) from 2021 to 2023. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2024-07-11 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.932236.1 [access date]
If you wish to use this dataset, it is highly recommended that you contact the original principal investigators (PI). Should the relevant PI be unavailable, please contact BCO-DMO (info@bco-dmo.org) for additional guidance. For general guidance please see the BCO-DMO Terms of Use document.