Environmental Research

The file land_use_features_BC.csv is csv-file containing the features used for building the land use regression model at each Point Of Interest (POI), as well as the alpha-trimmed mean (background corrected) black carbon concentrations at that POI. Note that the background has been subtracted, so if an estimate of the 'true' mean BC concentration is needed, 2.3 µg/m³ should be added to these values. ** Import data into R-software using the following instruction: theData = read.table("land_use_features_BC.csv", sep=",", header=TRUE) ** description of variables: - each row represents one point of interest (POI) - description of variables: - POI_number: reference number - BC_concentration_background_corrected: background corrected black carbon concentration at that POI. Reported values are alpha-trimmed means that are backgrond-corrected (see paper) - geometry_lambert_coordinates: Geospatial coordinates of the POIs (using the Lambert 72 coordinate system) - distance_motorway: distance (m) of POI to nearest motorway - nr_houses_100m: number of houses within a radius of 100m around the POI - ..

In any case of use of this data, a reference to the study is mandatory. Please contact Valentin Melnikov in case you are unsure about the reference. This data results from the study of walking speeds in Singapore in relation to climate. The walker attributes were obtained from inspection of video recordings, which were taken in the area of observational study. The location of a study area: pedestrian path towards Lakeside MRT, Singapore (coordinates: 1.343414,103.720528). Video recordings are not published, but are stored at Complexity Institute, Nanyang Technological University, Singapore. Please contact Valentin Melnikov regarding the access to video recordings. The data consists of 6 files -- 2 files for each day of observational study: 1. kestrel_weather_ddmmYYYY.csv -- A CSV file containing 6 columns: * datetime -- Date and time in Singapore timezone (UTC+8) starting from 17:10 up to 17:40 (depending on duration of observation). * Temperature -- Air temperature (deg. C) measured by Kestrel 5400. * Wind speed -- Wind speed (m/s) measured by Kestrel 5400. * Globe Temperature -- Black globe temperature (deg. C) measured by Kestrel 5400. * Relative Humidity -- Relative humidity (%) measured by Kestrel 5400. * Tmrt -- Mean radiant temperature (deg. C) calculated according to equation 3 in Thorsson et al. (2007) [https://doi.org/10.1002/joc.1537]. 2. walkers_lakeside_ddmmYYYY.xlsx -- A Microsoft Excel file containing following columns: * Description -- Contains numbers of walkers in published data (in original data was having characteristic description of walker). * Direction -- Direction of movement of walker (R -- to the right, from the Lakeside MRT station / L -- to the left / to the Lakeside MRT station). * Gender -- Apparent gender of a walker (F -- female / M -- male). * Age group -- Apparent age of a walker (0 -- <12 y.o. / 1 -- >12 & <18 y.o. / 2 -- >18 & <45 y.o. / 3 -- >45 y.o.). * Clothing type -- Level of clothing (0 -- both top and bottom are short / 1 -- top or bottom is long / 2 -- both top and bottom are long). * Used phone -- Whether walker was using phone (0 -- No / 1 -- Yes). * Overload -- Whether walker was bearing excessive aload (0 -- No / 1 -- Yes). * In group -- Whether walker is representing group (0 -- No / otherwise -- a number of co-walkers [for 22nd Oct -- only 1 was used just to indicate group, but not its size]). * Time in -- Time label in format [min.sec] corresponding to time on video recording when walker entered the area. * Time out -- Time label in format [min.sec] corresponding to time on video recording when walker exited the area. * Note -- Specific note for a walker. In analysis, walkers with notes were excluded. * Duration -- Calculated traversal time in seconds. * Speed -- Calculated walking speed in m/s (30 meters / Duration).

The input and output files including the script of the pilot Temp trial

This data set provides daily aggregated symptom reports logged by users of the AirRater smartphone application (http://airrater.org) based in Hobart, Tasmania, between October 29 2015 and October 29 2018. Please see the meta-data file for further details of the data descriptors. For information please contact Fay.Johnston@utas.edu.au.

Input and output data associated with the TEMP pilot trial

Figure 1 represents the flow chart of the systematic review Figure 2 represents the scientific evidence and summary of the association between greenspace and sleep

Intestine microbiota profiles - 16S NGS analysis of duodenum from ApoE knockout mice exposed to either filtered air (control), wood smoke (450 ug/m3 PM) ,or mixed gasoline and diesel engine emissions (300 ug/m3 PM) for 6 hr/d, 7d/wk, for 50 d.

ZVI-Fenton degradation of phenol and ibuprofen as a function of pH

Data for this manuscript

Geospatial datasets describing route geometry and ultrafine particulate matter dosage for children during shortest-distance and lowest-dosage school commutes in Toronto, Canada