Cite this dataset as
MacGregor, H.E.A., Ioannou, C.C. (2021). Time series of trajectory data for individual three-spined sticklebacks (Gasterosteus aculeatus) swimming individually and in groups of six individuals. NERC EDS Environmental Information Data Centre. (Dataset). https://doi.org/10.5285/26f045c3-946b-4115-baf1-defb19bdba42
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This dataset is available under the terms of the Open Government Licence
Time series of trajectory data for individual three-spined sticklebacks (Gasterosteus aculeatus) swimming individually and in groups of six individuals
The research was funded through NERC grant NE/P012639/1 Hunger and knowledge: foraging decisions in an uncertain and social world.
All procedures regarding the use of animals in research followed United Kingdom guidelines and were approved by the University of Bristol Ethical Review Group (UIN UB/17/060).
Format
text (.txt)
Temporal information
- Temporal extent
-
2019-09-23 to 2020-03-11
Provenance & quality
Correspondence/contact details
Authors
Other contacts
- Rights holder
-
University of Bristol
- Custodian
-
NERC EDS Environmental Information Data Centreinfo@eidc.ac.uk
- Publisher
-
NERC EDS Environmental Information Data Centreinfo@eidc.ac.uk
Additional metadata
- Topic categories
- environment
- Keywords
- animal behaviour , Animal behaviour , Decision-making , fish , Gasterosteus aculeatus , Leadership , Satiation , Shoaling , three-spined stickleback
- Funding
- Natural Environment Research Council Award: NE/P012639/1
- Last updated
- 08 February 2024 17:38
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By accessing or using this dataset, you agree to the terms of the relevant licence agreement(s). You will ensure that this dataset is cited in any publication that describes research in which the data have been used.
This dataset is available under the terms of the Open Government Licence
CITE AS: MacGregor, H.E.A.; Ioannou, C.C. (2021). Time series of trajectory data for individual three-spined sticklebacks (Gasterosteus aculeatus) swimming individually and in groups of six individuals. NERC EDS Environmental Information Data Centre. https://doi.org/10.5285/26f045c3-946b-4115-baf1-defb19bdba42