Lloret_Garcia_2016_Functional_Ecology

N: number of tree ID: identity of each tree PLOT: plot where the individual was sample Lat: Latitude Lon: Longitude BA: total basal area (BA) at ground surface, measured individually for each stem and then totalled dieback: green.canopy: fruits: herbs: % of herbs in the neighbouring vegetation shrubs: % of shrubs in the neighbouring vegetation trees: % of tree species in the neighbouring vegetation eco.pca1: ecological variables were summarised by two Principal Component Axis. These are the scores retained from PCA1. eco.pca2: ecological variables were summarised by two Principal Component Axis. These are the scores retained from PCA2. f: mean individual inbreeding estimated based on Jombart et al. (2008) fij: mean relatedness of each tree with all other trees within its plot. This is the Loiselle's inbreeding estimator according to Loiselle et al. (1995

Garcia_LBA_JoE_Data_Set

This file contains 4 data sets used to apply extreme value functions to infer the probability and extent of very long dispersal distance events

Juniper woodland long-term spatial dynamics

For each study subplot we report: i) ID; ii) associated PLOT; iii) time lag; iv) distance from the nearest woodland patch; v) spatial coordinates (X,Y); vi) initial density; and vii) density variation

Additional file 1 of Designing an SMS reminder intervention to improve vaccination uptake in Northern Nigeria: a qualitative study

Full list of participants interviewed and type of interview conducte

Additional file 2 of Designing an SMS reminder intervention to improve vaccination uptake in Northern Nigeria: a qualitative study

Cover Shee

Additional file 4 of Designing an SMS reminder intervention to improve vaccination uptake in Northern Nigeria: a qualitative study

IRISS Messages in Haus

Additional file 3 of Designing an SMS reminder intervention to improve vaccination uptake in Northern Nigeria: a qualitative study

Tracking Shee

Additional file 3 of National and provincial impact and cost-effectiveness of Haemophilus influenzae type b conjugate vaccine in China: a modeling analysis

Additional file 3: Table S4- ICD-10 codes used for each syndrome; Table S5- Summary of individual-level cost data from 2013 to 2017 obtained from the China Healthcare Insurance Research Association (CHIRA); Table S6- Inputs for the calculations of indirect costs (US$); Table S7- Cost of illness and lifetime productivity estimates (US$)

Additional file 4 of National and provincial impact and cost-effectiveness of Haemophilus influenzae type b conjugate vaccine in China: a modeling analysis

Additional file 4: Table S8- Summary of Hib vaccine products available in China; Table S9- Provincial vaccine coverage and weighted vaccine coverage in the private in 2017; Table S10- Regional dose-specific and weighted combined Hib vaccine coverage used for the NIP strategy; Table S11- Societal cost per dose of the National Immunization Program (NIP) in China in 2015 (2017 US$)

Additional file 7 of National and provincial impact and cost-effectiveness of Haemophilus influenzae type b conjugate vaccine in China: a modeling analysis

Additional file 7: Table S17- Incremental cost-effectiveness ratios (US$) for the different Hib vaccine schedules (4 doses vs. 3 doses in the NIP); Table S18- National incremental cost-effectiveness ratios (US$ per QALY gained) when varying the NIP Hib vaccine price; Table S19- Provincial incremental cost-effectiveness ratios (US$ per QALY gained) when reducing the NIP Hib vaccine price