Part of UKCEH UKCEH logo
UKCEH website
Stone, G.N.

Morphology phenotype data of 88 types of galls induced on oak trees by cynipid gallwasps from 6 sites in Hungary, 2000-2003

https://doi.org/10.5285/bc10f720-2bb6-4ff4-ad63-257663fd41a3
Download/Access
PLEASE NOTE:

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

Download the data
These data consist of quantitative and categorical scores for phenotypic attributes of 88 types of galls induced on oak trees (Quercus spp.) by cynipid gallwasps (Hymenoptera: Cynipidae: Cynipini). The recorded variables focus on attributes such as hardness, presence of surface spines or coatings of sticky resin, each of which are thought to contribute to protection of the gall inhabitants form attack by natural enemies such as parasitoid wasps and birds. Cynipid galls have separate sexual and asexual generation galls, each with different phenotypes. The dataset comprises values for 31 sexual generation galls and 58 asexual generation galls of a total of 69 cynipid species. The biological rationale for regarding these phenotypic traits as defences is explained in Bailey et al (2009). The purpose of these data is to include them as explanatory variables in statistical analyses that seek to quantify the effects of gall traits on the composition and abundance of parasitoid natural enemies in cynipid gall communities.
Publication date: 2025-06-02
8 downloads *
240 views *

More information

View numbers valid from 02 June 2025 Download numbers valid from 02 June 2025 (information prior to this was not collected)

Format

Comma-separated values (CSV)

Spatial information

Study area
Spatial representation type
Tabular (text)
Spatial reference system
WGS 84

Temporal information

Temporal extent
2000-01-01    to    2003-12-31

Provenance & quality

The data were recorded for field samples of galls collected from 6 sites in Hungary in 2000-2003 as part of a study first published by Bailey et al (2009). There are 16 data columns, each providing information on a phenotypic properties scored as binary categorical (a particular trait is either present or absent), categorical (e.g. galls are allocated to a particular shape class), ordinal (for example, a ranked series of values of 1-4 is used to measure increasing gall hardness), or continuous (linear measurements of gall radius, height and volume). Scores for the ordinal variable ‘Tough’ were validated using continuous penetration scores recorded using a QTS-25 benchtop texture analyser (data not shown). Gall identifications were based on diagnostic features of external gall phenotypes by experienced field staff. Where necessary, gallwasp identifications were confirmed using DNA barcoding.

Licensing and constraints

This dataset is available under the terms of the Open Government Licence

Cite this dataset as:
Stone, G.N. (2025). Morphology phenotype data of 88 types of galls induced on oak trees by cynipid gallwasps from 6 sites in Hungary, 2000-2003. NERC EDS Environmental Information Data Centre. https://doi.org/10.5285/bc10f720-2bb6-4ff4-ad63-257663fd41a3

Supplemental information

Bailey, R., Schönrogge, K., Cook, J. M., Melika, G., Csóka, G., Thuróczy, C., & Stone, G. N. (2009). Host Niches and Defensive Extended Phenotypes Structure Parasitoid Wasp Communities. PLoS Biology, 7(8), e1000179.

Correspondence/contact details

Stone, G.N.
University of Edinburgh
UNITED KINGDOM
 graham.stone@ed.ac.uk

Author

Stone, G.N.
University of Edinburgh

Other contacts

Rights holder
University of Edinburgh
Custodian
NERC EDS Environmental Information Data Centre
 info@eidc.ac.uk
Publisher
NERC EDS Environmental Information Data Centre
 info@eidc.ac.uk

Additional metadata

Topic categories
biota
INSPIRE theme
Habitats and Biotopes
Keywords
Biodiversity , Cynipidae , extended phenotype , Fagaceae , Hungary , parasitoid
Funding
Natural Environment Research Council Award: NE/T000120/1
Last updated
02 June 2025 13:41