File(s) | Type | Description | Action |
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zooscan_bats_biovolume.csv (107.01 KB) | Comma Separated Values (.csv) | Primary data file for dataset ID 854077 | Add to Cart Download |
ZooSCAN biovolume to biomass from the Sargasso Sea including locations in the vicinity of the Bermuda Atlantic Time-series Study (BATS). Samples were collected during MOCNESS tows during R/V Atlantic Explorer cruises between 2016 to 2019 (AE1614, AE1712, AE1830, AE1917, AE1918, AE1931) and a few small boat deployments. These data were published in Maas et al. (2021) as Supplementary Table 1.
Methodology: Individual zooplankton of a variety of taxa were individually selected from multiple MOCNESS and Reeve net tows. Organisms were picked from both surface and deep nets and across a range of sizes to represent the full range of potential morphologies. They were imaged on a ZooSCAN ver. 3 at 4,800 dpi (following the methods in: Gorsky et al., 2010, Vandromme et al., 2012). Raw images were then processed in ZooProcess (Gorsky et al., 2010, Vandromme et al., 2012), resulting in a measurement and metadata file. After imaging each individual organism was weighed wet on a Mettler-Toledo XPR microbalance, dried for 3 days in a drying oven at 60 C, and reweighed.
Sampling and analytical procedures: Most samples (all from the MOCNESS) had been preserved in formalin for between 1 and 4 years. Individuals from the Reeve net had been preserved in ethanol or stored at -80C for 1-2 years. All individuals were imaged in DI water at room temperature.
Object_id and imagenames:
Blanco-Bercial, L., Maas, A., Gossner, H. (2021) ZooSCAN biovolume to biomass from imaged zooplankton collected during MOCNESS tows during various R/V Atlantic Explorer cruises and small boat deployments in the Sargasso Sea betwen 2016 to 2019. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2021-06-17 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.854077.1 [access date]
Terms of Use
This dataset is licensed under Creative Commons Attribution 4.0.
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.