This DATSETNAMEreadme.txt file was generated on 2023-12-14 by Dylan O'Driscoll GENERAL INFORMATION 1. Title of Dataset: Spatio-temporal graffiti in Belfast 2. Author Information A. Principal Investigator Contact Information Name: Dylan O'Driscoll Institution: Coventry University Address: Email: dylan.odriscoll@coventry.ac.uk B. Associate or Co-investigator Contact Information Name: Birte Vogel Institution: University of Manchester Address: Email: birte.vogel@manchester.ac.uk C. Alternate Contact Information Name: Institution: Address: Email: 3. Date of data collection (single date, range, approximate date) 1998-05 to 2022-11 4. Geographic location of data collection : Belfast 5. Information about funding sources that supported the collection of the data: None SHARING/ACCESS INFORMATION 1. Licenses/restrictions placed on the data: if using images cite sources 2. Links to publications that cite or use the data: 3. Links to other publicly accessible locations of the data: https://data.mendeley.com/datasets/w4ttp6d7pb/1 4. Links/relationships to ancillary data sets: 5. Was data derived from another source? yes A. If yes, list source(s): the Extramural Activity interactive mural map, the Peter Moloney Collection (itself partly embedded within the Extramural Activity map), the Claremont College Collection, and Google Street View. 6. Recommended citation for this dataset: O'Driscoll, Dylan; Vogel, Birte; Lepp, Eric; Morecroft-rice, Dan (2023), “Spatio-temporal graffiti in Belfast”, Mendeley Data, V1, doi: 10.17632/w4ttp6d7pb.1 DATA & FILE OVERVIEW 1. File List: Excel document 2. Relationship between files, if important: 3. Additional related data collected that was not included in the current data package: 4. Are there multiple versions of the dataset? no A. If yes, name of file(s) that was updated: i. Why was the file updated? ii. When was the file updated? METHODOLOGICAL INFORMATION 1. Description of methods used for collection/generation of data: To capture the multidimensional aspects of Belfast’s evolving muralscape we created an original dataset of graffiti images organised by the ‘site’ (general spatial area in which data collection was bound) in which they were collected and the ‘set’ (the entire range of temporal data collected in relation to a precise spatial location) to which they belong. We collated a total of 147 graffiti sets, spanning six predefined data collection sites within the database. Each set contains anywhere from two to 24 pieces of visual data, with a total of 680 individual pieces collected. The dataset is organised along axis of space and time to generate a visual record. Each mural set is geotagged by its Global Positioning System (GPS) coordinates. To construct the dataset, we defined temporal and spatial bounds. We limited the data collection to the years 1998 to 2022. These temporal bounds were set in line with the signing of the Good Friday Agreement, which marked a significant will to alter attitudes and ideologies for the sake of peace. We stopped recording new pieces in November 2022. The six sites are: the divided estates surrounding the Unionist Shankill and Nationalist Falls Roads, the interface area between them, a shared area surrounding the Royal Victoria hospital, an area along the Newtownards Road referred to as ‘Freedom Corner’ in East Belfast, and in predominantly Nationalist West Belfast we chose the area in the Gaeltacht Quarter where the Glenalina and Whiterock Roads intersect. 2. Methods for processing the data: 3. Instrument- or software-specific information needed to interpret the data: 4. Standards and calibration information, if appropriate: 5. Environmental/experimental conditions: 6. Describe any quality-assurance procedures performed on the data: 7. People involved with sample collection, processing, analysis and/or submission: DATA-SPECIFIC INFORMATION FOR: [FILENAME] 1. Number of variables: 680 2. Number of cases/rows: 3. Variable List: 147 graffiti sets, spanning six predefined data collection sites within the database. Each set contains anywhere from two to 24 pieces of visual data, with a total of 680 individual pieces collected. 4. Missing data codes: n 5. Specialized formats or other abbreviations used: