Abundance of Phytoplankton in COMRA's contract area in 2013&2014

X.F Dai1, CHANG Liu2

1 Second Institute of Oceanography,SOA, ; 2 

Corresponding author(s): X.F Dai, CHANG Liu (617895838@qq.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.

Resource Citation

NMDIS. (2021). Abundance of phytoplankton in COMRA's contract area in 2013-2014

Abstract

NMDIS works together with Second Institute of Oceanography,SOA on gathering phytoplankton data during research cruises in COMRA's contract area in 2013-2014. Samples were collected using plankton net and fixed by using Formalin.All collected data are processed, quality controlled, and provided with metadata for stations in a common workflow, and a common set of parameters with preferred and standardised units is determined and stored. Quality control includes logic tests and value range tests.

Keywords: phytoplankton

Data published through GBIF: http://ipt.vliz.be/nmdis/resource?r=dy30

Taxonomic coverage

Taxonomic ranks
Phylum: Ochrophyta, Dinophyta, Cyanobacteria

Spatial coverage

General spatial coverage: Northern Boundary of sampling area	33.5°S
Southern Boundary of sampling area	38.0°S
Eastern Boundary of sampling area	56.2°E
Western Boundary of sampling area	49.6°E
Coordinates: 38°0'0''S and 33°30'0''S Latitude; 49°36'0''E and 56°12'0''E Longitude 

Temporal coverage: December 23, 2013 - April 15, 2014

Datasets

Dataset description
Object name: Darwin Core Archive Abundance of Phytoplankton in COMRA's contract area in 2013&2014
Character encoding: UTF-8
Format name: Darwin Core Archive format
Format version: 1.0
Distribution: http://ipt.vliz.be/nmdis/archive.do?r=dy30
Publication date of data: 2021-09-07
Language: English
Licences of use: Creative Commons Attribution Non Commercial (CC-BY-NC) 4.0 License

Metadata language: English
Date of metadata creation: 2021-07-19
Hierarchy level: Dataset