Dataset record
- Type
- DataService
- DOI
- https://www.doi.org/10.14284/381
- title in English
- Neural network modelling of Baltic zooplankton abundances
- Abstract in English
- This data product is a series of gridded abundance maps for 40 zooplankton species from 2007 to 2013 in the Baltic Sea, based on a neural network analysis. As input data a combination of EMODnet Biology datasets were used, together with the environmental variables dissolved oxygen, salinity, temperature, chlorophyll concentration bathymetry and the distance from coast. Additionally the position (latitude and longitude) and the year are provided to the neural network. DIVAnd (n-dimensional Data-Interpolating Variational Analysis) and the neural network library Knet were used in this analysis.
- Contactpoint
-
- Email
- bio@emodnet.eu
- License
- https://spdx.org/licenses/CC-BY-4.0.html
- bibliographicCitation
- Barth, A.; Herman, P.M.J.; (2018): Neural network modelling of Baltic zooplankton abundances. Marine Data Archive
Temporal coverage
- Temporal
-
- Start date
- 2007-01-01
- End date
- 2013-01-01
Thesaurus terms
- Keyword
- Biota
- Coordinate reference systems
- Data not evaluated
- Geoscientific Information
- Metadata not evaluated
- NetCDF (Network Common Data Form)
- No limitations to public access
- Oceans
- Regional
- WGS84 (EPSG:4326)
- Zooplankton
Themes
- theme
- Biology > Plankton > Zooplankton
Projects
- was generated by
- EMODNETBIO III - European Marine Observation and Data Network- Biology III
Special collections
- part of
special collection
- EMODNET