These spreadsheets are to be used in conjunction with the PhD thesis submitted by Holly Dempster-Edwards in May 2025, entitled 'Emotions, Gender, Racial-Religious Identity and Crusading in Prose Chronicles and Epics at the Court of Duke Philip the Good of Burgundy (r. 1419-67)'. The spreadsheets contain three tables, which detail the emotions and emotion markers found in the three texts which make up the corpus studied in the thesis: La Belle Hélène de Constantinople by Jean Wauquelin (1448), Les Croniques et Conquestes de Charlemaine by David Aubert (1458), and Mabrien (attrib. Aubert, ante 1462). These emotion terms were counted manually.

Each entry contains the following information: emotion term in French,  'tag' in English (e.g. 'love', 'anger - absence', part of speech, a rough English translation, page reference, longer quotation surrounding the emotion term, the character(s) feeling the emotion, gender, whether this is singular or plural, the racial-religious identity of the character(s), and whether the term occurs in direct or indirect discourse. The entries are sorted alphabetically based on the French emotion term, with reflexive pronouns removed for ease of alphabetisation. This can be manipulated, for example by sorting the page references column to display emotions in order of occurrence in each text. 

The filter function allows for the cross-referencing of multiple identity categories. For example, the researcher could search all the male plural groups experiencing emotions, or all the emotions of female non-Christians, or all of the instances of love experienced by Christians and mixed groups. It is likewise possibly to search for all the emotions experienced by a particular character. For example, one could set the character filter to 'Klm' (Charlemagne), to find all instances of emotion experienced by him in CCC. It would then be possible to filter further, for example searching for all the instances of anger experienced by Charlemagne. It is also possible to include instances where Charlemagne is part of a plural group experiencing emotions.

These are just examples and there is great deal of flexibility available to sort this data, and these spreadsheets have heavily informed the thesis and the overall understanding of the distribution of emotions in the corpus. The pie charts in the thesis appendix have been produced using this data, though a margin of +/- 1% should be allowed to take into account the possibility of human error.