Description
Mesozooplankton were collected with a motion-compensated Bongo net (61 cm mouth diameter, 100 and 200 micrometre meshes) and a mini- Bongo net (18 cm mouth diameter, 50 micrometre mesh nets). Both nets fished to a maximum depth of 400 m but sometimes shallower. Specimens were categorised to the lowest possible taxonomic level, which in some cases encompassed developmental stages but in other cases was limited to higher order taxa. Each taxa was enumerated to determine abundance in units of individuals m-2. The dataset allows examination of the distribution and abundance of these species within the Atlantic sector of the Southern Ocean over a number of years and covering much of the productive season from spring to autumn. The data for the North Atlantic and Arctic covers one season only (summer) and is limited to providing a spatial perspective on the distribution and abundance of mesozooplankton.
Data Records
The data in this sampling event resource has been published as a Darwin Core Archive (DwC-A), which is a standardized format for sharing biodiversity data as a set of one or more data tables. The core data table contains 30 records.
1 extension data tables also exist. An extension record supplies extra information about a core record. The number of records in each extension data table is illustrated below.
This IPT archives the data and thus serves as the data repository. The data and resource metadata are available for download in the downloads section. The versions table lists other versions of the resource that have been made publicly available and allows tracking changes made to the resource over time.
Versions
The table below shows only published versions of the resource that are publicly accessible.
How to cite
Researchers should cite this work as follows:
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 [Data set]. UK Polar Data Centre, Natural Environment Research Council, UK Research & Innovation. https://doi.org/10.5285/5A711904-EF42-46A3-9F47-3F0D6B231F65
Rights
Researchers should respect the following rights statement:
This work is licensed under a Creative Commons Attribution (CC-BY 4.0) License.
GBIF Registration
This resource has not been registered with GBIF
Keywords
Samplingevent; "EARTH SCIENCE"; "BIOSPHERE"; "ECOLOGICAL DYNAMICS"; "COMMUNITY DYNAMICS"; "BIODIVERSITY FUNCTIONS"; "ECOSYSTEMS"; "AQUATIC ECOSYSTEMS"; "PLANKTON"; "ZOOPLANKTON"; "OCEANS"; "MARINE ENVIRONMENT MONITORING"; Samplingevent
External data
The resource data is also available in other formats
| original database | http://apex.nerc-bas.ac.uk/f?p=163:1 UTF-8 oracle database |
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| original dataset | https://ramadda.data.bas.ac.uk/repository/entry/show?entryid=5a711904-ef42-46a3-9f47-3f0d6b231f65 UTF-8 comma separated values (csv) |
Contacts
- Originator
- Investigator
- High Cross, Madingley Road
https://orcid.org/0000-0001-8260-1077
- Originator
- Investigator
- High Crosss, Madingley Road
- Originator
- Investigator
- High Cross, Madingley Road
- Originator
- Investigator
- High Cross, Madingley Road
- Content Provider
- Investigator
- High Cross, Madingley Road
Geographic Coverage
Southern Ocean, Atlantic Sector North Atlantic Ocean, Arctic
| Bounding Coordinates | South West [-54.45, -43.28], North East [-47.97, -35] |
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Taxonomic Coverage
No Description available
| Kingdom | Animalia, Chromista, Protozoa |
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| Phylum | Annelida, Arthropoda, Bryozoa, Chaetognatha, Chordata, Ciliophora, Cnidaria, Ctenophora, Echinodermata, Foraminifera, Mollusca, Nemertea, Ochrophyta, Phoronida, Rotifera, Sarcomastigophora |
| Class | Appendicularia, Ascidiacea, Bacillariophyceae, Bivalvia, Branchiopoda, Gastropoda, Gymnolaemata, Hexanauplia, Holothuroidea, Hydrozoa, Malacostraca, Oligotrichea, Ophiuroidea, Ostracoda, Polychaeta, Thaliacea |
Temporal Coverage
| Start Date / End Date | 2006-11-06 / 2013-02-04 |
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Project Data
No Description available
| Title | Polar Science for Planet Earth |
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| Funding | Natural Environment Research Council, UK Research & Innovation |
The personnel involved in the project:
Sampling Methods
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.
| Study Extent | 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. |
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Method step description:
- 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.
Bibliographic Citations
- Tarling GA, Ward P, Atkinson A, Collins MA, Murphy EJ (2012) Editorial: DISCOVERY 2010: Spatial and temporal variability in a dynamic polar ecosystem. Deep-Sea Res. II 59-60:1-13. https://doi.org/10.1016/j.dsr2.2011.10.001
- Tyrrell T, Tarling GA, Leakey R, Cripps G, Thorpe S, Richier S, Moore CM (2016) Impacts of surface ocean acidification in polar seas and globally: a field-based approach. Deep-Sea Res. II 127:1-6. https://doi.org/10.1016/j.dsr2.2016.02.009
Additional Metadata
marine, harvested by iOBIS
| Alternative Identifiers | 402c81b6-8d69-4650-8826-92f91d2728a7 |
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| https://ipt-demo.gbif.es/resource?r=katia-meso |