Date (Creation)

2020-03-12

Date (Revision)

2020-03-12

Date (Publication)

2020-03-12

Date (released)

2020-03-12

Edition

1.0

Unique resource identifier

https://doi.org/10.5285/5a711904-ef42-46a3-9f47-3f0d6b231f65

Codespace

doi

Unique resource identifier

GB/NERC/BAS/PDC/01316

Codespace

https://data.bas.ac.uk/

Other citation details

Please cite this item as: Ward, P., Tarling, G., Shreeve, R., & ten Hoopen, P. (2020). Epipelagic mesozooplankton distribution and abundance in Southern Ocean Atlantic sector and the North Atlantic and Arctic 1996-2013 (Version 1.0) [Data set]. UK Polar Data Centre, Natural Environment Research Council, UK Research & Innovation. https://doi.org/10.5285/5a711904-ef42-46a3-9f47-3f0d6b231f65

Credit

No credit.

Status

completed Completed

Maintenance and update frequency

asNeeded As needed

Maintenance note

completed Completed

Global Change Master Directory (GCMD) Science Keywords

• EARTH SCIENCE > Biosphere > Ecological Dynamics > Biodiversity
• EARTH SCIENCE > Biosphere > Microbiota Taxonomy > Zooplankton
• EARTH SCIENCE > Oceans > Marine Environment Monitoring

Theme

• Amphipods
• Chaetognaths
• Copepods
• Euphausiids
• Polychaetes

Place

• Atlantic Sector Southern Ocean
• Arctic North Atlantic Ocean

GEMET - INSPIRE themes, version 1.0

• Habitats and biotopes
• Oceanographic geographical features

Access constraints

otherRestrictions Other restrictions

Other constraints

no limitations to public access

Access constraints

otherRestrictions Other restrictions

Other constraints

no limitations

Use constraints

license License

Other constraints

Open Government Licence v3.0

Use constraints

otherRestrictions Other restrictions

Other constraints

Dataset is released under Open Government Licence V3.0:

Use constraints

otherRestrictions Other restrictions

Other constraints

There are no restrictions in accessing the data.

Unique resource identifier

doi

Codespace

doi

Association Type

crossReference Cross reference

Unique resource identifier

doi

Codespace

doi

Association Type

crossReference Cross reference

Unique resource identifier

doi

Codespace

doi

Association Type

crossReference Cross reference

Unique resource identifier

doi

Codespace

doi

Association Type

crossReference Cross reference

Unique resource identifier

doi

Codespace

doi

Association Type

crossReference Cross reference

Unique resource identifier

doi

Codespace

doi

Association Type

crossReference Cross reference

Unique resource identifier

doi

Codespace

doi

Association Type

crossReference Cross reference

Unique resource identifier

doi

Codespace

doi

Association Type

crossReference Cross reference

Unique resource identifier

doi

Codespace

doi

Association Type

crossReference Cross reference

Unique resource identifier

doi

Codespace

doi

Association Type

crossReference Cross reference

Unique resource identifier

url

Codespace

url

Association Type

crossReference Cross reference

Unique resource identifier

url

Codespace

url

Association Type

crossReference Cross reference

Spatial representation type

textTable Text, table

Metadata language

engEnglish

Character set

utf8 UTF8

Topic category

• Biota
• Environment
• Oceans

Begin date

2006-11-06

End date

2013-02-04

Supplemental Information

It is recommended that careful attention be paid to the contents of any data, and that the author be contacted with any questions regarding appropriate use. If you find any errors or omissions, please report them to polardatacentre@bas.ac.uk.

Date (Publication)

2008-11-12

Unique resource identifier

urn:ogc:def:crs:EPSG::3031

Version

6.18.3

Hierarchy level

dataset Dataset

Statement

Methodology:

Data were gathered on a series of oceanographic cruises aboard the RRS James Clark Ross during expeditions to the Atlantic Sector of the Southern Ocean and the North Atlantic/Arctic. Samples were retrieved by either a motion compensation Bongo net or a mini Bongo net, and then preserved with Borax buffered 10% formalin for analysis back at the home laboratory. Taxa were identified through examination by light microscopy. The abundance of each taxa within a sample was determined through examining a known fraction of the sample and then making an inverse multiplication of that fraction. Known fractions were principally achieved through the use of a Folsom splitter. Volumetric abundances (individuals m-2) were determined through dividing sample abundance by the volume of water sampled by the respective net. Net volume was mainly derived through multiplying the net opening diameter by the maximum depth of sampling. This calculation assumes 100% net sampling efficiency and that specimens were only captured during the ascent phase of the net deployment.

Data collection:

1. A motion compensated Bongo net (61 cm mouth diameter, 100 and 200um meshes)

2. Mini Bongo (18 cm mouth diameter, 50um meshes)

3. Folsom splitter

4. Binocular microscope

Data quality:

All species were identified according to the taxonomic guides available at time of analysis and the user must be aware that some species names may have since been updated.

The value 0 represents an instance where the taxon was actively looked for but no specimens were present in the sample.

File identifier

5a711904-ef42-46a3-9f47-3f0d6b231f65 XML

Metadata language

engEnglish

Character set

utf8 UTF8

Hierarchy level

dataset Dataset

Hierarchy level name

dataset

Date stamp

2020-03-12

Metadata standard name

ISO 19115 Geographic Information - Metadata

Metadata standard version

ISO 19115:2003(E)