bc10f720-2bb6-4ff4-ad63-257663fd41a3 English ISO/IEC 8859-1 (also known as Latin 1) dataset dataset NERC EDS Environmental Information Data Centre Lancaster Environment Centre, Library Avenue, Bailrigg Lancaster LA1 4AP UK info@eidc.ac.uk https://eidc.ac.uk/ EIDC website The Environmental Information Data Centre (EIDC) is the UK's national data centre for terrestrial and freshwater sciences. information pointOfContact 2025-11-13T16:26:51 UK GEMINI 2.3 WGS 84 Morphology phenotype data of 88 types of galls induced on oak trees by cynipid gallwasps from 6 sites in Hungary, 2000-2003 2025-06-02 publication https://catalogue.ceh.ac.uk/id/bc10f720-2bb6-4ff4-ad63-257663fd41a3 10.5285/bc10f720-2bb6-4ff4-ad63-257663fd41a3 doi: 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 10.5285/bc10f720-2bb6-4ff4-ad63-257663fd41a3 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. Full details about this dataset can be found at https://doi.org/10.5285/bc10f720-2bb6-4ff4-ad63-257663fd41a3 Stone, G.N. University of Edinburgh graham.stone@ed.ac.uk author Stone, G.N. University of Edinburgh graham.stone@ed.ac.uk pointOfContact NERC EDS Environmental Information Data Centre info@eidc.ac.uk custodian NERC EDS Environmental Information Data Centre info@eidc.ac.uk publisher University of Edinburgh EMAIL NOT PROVIDED owner Habitats and Biotopes theme GEMET - INSPIRE themes, version 1.0 2008-06-01 publication Biodiversity Hungary Cynipidae Fagaceae parasitoid extended phenotype otherRestrictions no limitations otherRestrictions This resource is available under the terms of the Open Government Licence otherRestrictions If you reuse this data, you should cite: 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 textTable English utf8 biota 2000-01-01 2003-12-31 15.996 23.247 45.768 48.763 Comma-separated values (CSV) NERC EDS Environmental Information Data Centre info@eidc.ac.uk distributor https://data-package.ceh.ac.uk/data/bc10f720-2bb6-4ff4-ad63-257663fd41a3 Download the data Download a copy of this data download https://data-package.ceh.ac.uk/sd/bc10f720-2bb6-4ff4-ad63-257663fd41a3.zip Supporting information Supporting information available to assist in re-use of this dataset information dataset dataset Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services 2010-12-08 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.