Data set used in LYME BORRELIOSIS AND BIRD POPULATIONS IN NORTHERN EUROPE by Atle Mysterud, Dieter J.A. Heylen, Erik Matthysen, Aïda Lopez Garcia, Solveig Jore and Hildegunn Viljugrein Data provided by Atle Mysterud, email: . See Material and Methods of the paper for detailed information about the data. The file LDdat2_vs2.csv is tab-separated and can be read into R by read.csv2. Variables in columns are: LD_cases: total number of disseminated Lyme borreliosis cases (includes Neuro_cases) reported in specific municipality and year Neuro_cases: total number of Lyme beuroborreliosis cases reported in specific municipality and year spatial_deer_density: log(mean_deer_density + 0.01) Bird_hazard_index2_lag1: hazard index 2 lagged 1 year Bird_hazard_index1_lag1: hazard index 1 lagged 1 year region: East, South or West Year: specific year in period 1995-2017 distance_to_fjord: inhabitants: Number of inhabitants in the municipality, used as offset in the analyses human_settlement: proportion of area in municipality being categorized as human settlement area agricultural_area: proportion of area in municipality being categorized as agricultural area area_above_200: proportion of municipality area above 200 m a.s.l. spatial_dependency: any neighbouring municipality reporting >0 Neuro case the previous year spatial_presenceLD_lag1: any neighbouring municipality reporting >0 LD case the previous year temporal_autocorr: incidence of Neuro cases in the municipality the previous year temporal_autocorrLD: incidence of Neuro cases in the municipality the previous year NAO_DJF_lag1: PCA derived NAO for December, January and February for year lag 1 Fnr = running identity number of county Knr = running identity number of municipality