Publication Date:
2024-03-22
Description:
This dataset contains the values of standard length, wet weight, and body mass-density of Cyclothone spp. measured during the SUMMER cruise (from 30th September to 18th October 2020). Samples were obtained with the "Mesopelagos" midwater trawl during day and night hauls carried out from the surface to 700-800 m depth. The Mesopelagos net consists of graded-mesh netting starting with 30 mm and ending with 4 mm. The specimens collected were immediately identified and measured (standard length, SL). Body-mass densities (ρ) of Cyclothone braueri, C. pseudopallida, C. pygmaea and C. pallida were determined on board via a density-bottle method (Greenlaw, 1977; Mikami et al., 2000).
Keywords:
29SG20200929; 29SG20200929_1-PEL05; 29SG20200929_1-PEL06; 29SG20200929_2-PEL07; 29SG20200929_3-PEL15; 29SG20200929_3-PEL16; 29SG20200929_3-PEL17; 29SG20200929_4-PEL22; Alboran Sea, Mediterranean Sea; Balearic Islands, western Mediterranean Sea; BATHYPELAGIC; Biomass and Active Flux in the Bathypelagic Zone; body-mass density; bristlemouth; Caliper; Code; CTD; DATE/TIME; Density, mass density; Density-bottle method; DEPTH, water; Estructura y dinámica del ecosistema bentopelágico de talud en dos zonas oligotróficas del Mediterráneo: una aproximación multidisciplinar y a distintas escalas temporales en las Islas Baleares; Event label; fatty-tissue; Fish, body mass density; Fish, standard length; Fish, wet weighted; Gas; Gulf of Cádiz, Atlantic Ocean; Histology; ICM_Excellence_Centre; IDEADOS; LATITUDE; Light mode; LONGITUDE; Mesopelagos; micronekton; Midwater trawl, Mesopelagos (Meillat, 2012); PEL05; PEL06; PEL07; PEL15; PEL16; PEL17; PEL22; Sarmiento de Gamboa; Sea off Lisbon, Atlantic Ocean; Severo Ochoa Centre of Excellence; Species, unique identification; Species, unique identification (Semantic URI); Species, unique identification (URI); Station label; SUMMER; Sustainable Management of Mesopelagic Resources; swimbladder; TRIATLAS; Tropical and South Atlantic climate-based marine ecosystem predictions for sustainable management; Visual observation; Wet mass
Type:
Dataset
Format:
text/tab-separated-values, 1024 data points
