Zooplankton Species Biomass and Abundance Data, Arctic Marine Biodiversity Observing Network (AMBON) Chukchi Sea research cruise on the Norseman II, 11 August - 3 September 2015

Russell Hopcroft1, Cheryl Clarke Hopcroft2, Adrienne Canino3, Abby Benson4, Adrienne Canino5

1 University of Alaska Fairbanks, ; 2 Institute of Marine Science, University of Alaska Fairbanks, ; 3 Axiom Data Science, ; 4 U.S. Geological Survey, ; 5 Axiom Data Science, 

Corresponding author(s): Russell Hopcroft (rrhopcroft@alaska.edu)Cheryl Clarke Hopcroft (cclarkehopcroft@alaska.edu), Adrienne Canino (metadata@axiomdatascience.com)

Received {date}; Revised {date}; Accepted {date}; Published {date}

Citation: Combination of authors, year of data paper publication (in parentheses), Title, Journal Name, Volume, Issue number (in parentheses), and doi of the data paper.

Abstract

This dataset contains zooplankton species biomass and abundance data collected in the Chukchi Sea during the 9 August - 3 September 2015 Arctic Marine Biodiversity Observing Network (AMBON) research cruise on the vessel Norseman II. This dataset contains three comma separate values (csv) files. The data were collected from zooplankton samples caught with traditional 150µm plankton nets and taxonomically identified. Each data file include the location, date, time, depth, and identification of zooplankton taxa collected during the 2015 AMBON cruise. The data in the file named AMBON2015_Zooplankton_Abundance_150_DC.csv and AMBON2015_505_Zooplankton_Abundance_DWC.csv consists of abundance per taxon of zooplankton. The data in the file named AMBON2015_Zooplankton_Biomass_150_DC.csv and AMBON2015_505_Zooplankton_Biomass_DWC.csv consists of biomass per taxon of zooplankton. These data files are presented in a table structure using Darwin Core term names as column names. This dataset also contains the file AMBON_station_masterlist.csv, describing stations sampled during AMBON cruises.

Keywords: Samplingevent

General description

Purpose: The goal of the Arctic Marine Biodiversity Observing Network (AMBON) project is to demonstrate and build an operational marine biodiversity observing network from microbes to whales, integrating diversity levels from genetic to organismal. AMBON is funded through the National Ocean Partnership Program, with contributions from the National Oceanographic and Atmospheric Administration (NOAA), the Bureau of Ocean and Energy Management (BOEM), Shell Exploration and Production Company, and the National Science Foundation (NSF). The AMBON field region is located on the Chukchi Sea continental shelf in the US Arctic as a region exposed to climatic changes and anthropogenic influences. AMBON is composed of a team of multi-institutional and multi-sector partners active in a variety of Arctic biodiversity observing programs and covering disciplines ranging from genetic to organismal to ecosystem. Zooplankton are the key link between primary production and many other trophic levels. Their incredible numbers and their ability to store large amounts of lipids make them an essential food source for many pelagic-feeding fishes, birds and mammals.
Additional information: Marine, harvested by OBIS

Data published through GBIF: https://www1.usgs.gov/obis-usa/ipt/resource?r=ambon_zooplankton_2015

Spatial coverage

General spatial coverage: Chukchi Sea, Alaska, USA
Coordinates: 67°37'1.2''N and 72°29'38.4''N Latitude; 168°56'34.8''W and 164°6'46.8''W Longitude 

Temporal coverage: August 11, 2015 - September 3, 2015

Datasets

Dataset description
Object name: Darwin Core Archive Zooplankton Species Biomass and Abundance Data, Arctic Marine Biodiversity Observing Network (AMBON) Chukchi Sea research cruise on the Norseman II, 11 August - 3 September 2015
Character encoding: UTF-8
Format name: Darwin Core Archive format
Format version: 1.0
Distribution: https://www1.usgs.gov/obis-usa/ipt/archive.do?r=ambon_zooplankton_2015
Publication date of data: 2022-03-29
Language: English
Licences of use: Public Domain (CC0 1.0)

Metadata language: English
Date of metadata creation: 2021-07-06
Hierarchy level: Dataset