a) General information on dataset
Title: Terrorism and the city: affect, space and violence in urban Europe
Author: Suncana Laketa
Time-range of data collection: 01.02.2019 - 31.07.2023.
Geographic location of data collection: Paris and Brussels
Funding source: SNF Ambizione grant, number PZ00P1_179943 
Contact: suncana.laketa@gmx.ch

b) Sharing/access information
Links to open-access publications that use or cite the data:
1. Laketa, S. 2021. “(Counter)terrorism and the intimate: bodies, affect, power”, Conflict and Society, 7(1), 9-25.
http://doi.org/10.3167/arcs.2021.070102
2. Laketa, S., Fregonese, S., and Masson, D. 2021. “Experiential landscapes of terror - Introduction to the Special Section”, Conflict and Society, 7(1), 1-8.
http://doi.org/10.3167/arcs.2021.070101
3. Fregonese, S. and Laketa, S. 2022. “Urban atmospheres of terror”, Political Geography, 96 (5), 102569.
10.1016/j.polgeo.2021.102569
4. Laketa, S. and Fregonese, S. 2022. “Lockdown and the intimate entanglements of terror, virus, and militarism”, Environment and Planning C: Politics and Space, DOI: 10.1177/23996544221143041.
http://doi.org/10.1177/23996544221143041


c)  Methodological information

Module 1 - semi-structured interviews with key actors in the two cities. Those key actors included representatives of three different institutional organisations: a) elected federal and municipal government; b) federal and municipal police and law enforcement; c) non-elected city governing agencies such as offices for city planning, tourism development and public safety, as well as social workers involved in anti-radicalization measures. The interview responses were recorded when appropriate, transcribed and subsequently coded with the help of MAXQDA software. The unrecorded interviews were followed with extensive notes and detailed descriptions of the content of the conversations. The coded data from interviews were analysed through qualitative content analysis, and through discourse analysis in the second step. 
Module 2 - walk-alongs with residents of the two cities (the method involves following participants as they spend time in each of the selected locations and as they go about their activities in those locations such as strolling, shopping, meeting friends, visiting cafés etc., followed by open-ended interviews). The analysis of the data followed two-step iterative analysis. The first step was the thick phenomenological description followed by the interpretative step that allowed to condense the descriptive material using concepts. The interviews with residents were transcribed, coded, and subsequently analysed through a qualitative content and visual analysis, in case participants took photographs during walk-alongs.

The quality of consisted data is assured through the methodological juxtaposition of data gathered through different methods.

Personal identifying information of participants are not utilized in any of the methods. Instead, all interviews, walk-alongs, and resulting data, use false initials or pseudonyms. 

d) Files:
data-Module-1-Shared.xls: list of participants in the Module 1, deidentified as much as possible
data-Module-2-Shared.xls: list of participants in the Module 2, deidentified as much as possible

e) Property rights:

Suncana Laketa and the University of Neuchatel hold the intellectual property rights for the generated research data and comply with institutional policies on copyright.

f) License:
CC-BY-NC-SA
Please cite data used in future publications. 
Please do not use data to identify respondents or their organizations.