Population density per pixel at 100 metre resolution. WorldPop provides estimates of numbers of people residing in each 100x100m grid cell for every low and middle income country. Through ingegrating cencus, survey, satellite and GIS datasets in a flexible machine-learning framework, high resolution maps of population counts and densities for 2000-2020 are produced, along with accompanying metadata. DATASET: Alpha version 2010 and 2015 estimates of numbers of people per grid square, with national totals adjusted to match UN population division estimates (http://esa.un.org/wpp/) and remaining unadjusted. REGION: Africa SPATIAL RESOLUTION: 0.000833333 decimal degrees (approx 100m at the equator) PROJECTION: Geographic, WGS84 UNITS: Estimated persons per grid square MAPPING APPROACH: Land cover based, as described in: Linard, C., Gilbert, M., Snow, R.W., Noor, A.M. and Tatem, A.J., 2012, Population distribution, settlement patterns and accessibility across Africa in 2010, PLoS ONE, 7(2): e31743. FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org) FILENAMES: Example - AGO10adjv4.tif = Angola (AGO) population count map for 2010 (10) adjusted to match UN national estimates (adj), version 4 (v4). Population maps are updated to new versions when improved census or other input data become available. Syria data available from WorldPop here.

This soils dataset complements 13 other datasets as part of a study that compared ancient settlement patterns with modern environmental conditions in the Jazira region of Syria. This study examined settlement distribution and density patterns over the past five millennia using archaeological survey reports and French 1930s 1:200,000 scale maps to locate and map archaeological sites. An archaeological site dataset was created and compared to and modelled with soil, geology, terrain (contour), surface and subsurface hydrology and normal and dry year precipitation pattern datasets; there are also three spreadsheet datasets providing 1963 precipitation and temperature readings collected at three locations in the region. The environmental datasets were created to account for ancient and modern population subsistence activities, which comprise barley and wheat farming and livestock grazing. These environmental datasets were subsequently modelled with the archaeological site dataset, as well as, land use and population density datasets for the Jazira region. Ancient trade routes were also mapped and factored into the model, and a comparison was made to ascertain if there was a correlation between ancient and modern settlement patterns and environmental conditions; the latter influencing subsistence activities. This soil dataset was created to show distribution pattern of soils in the Jazira region. Dry farming has sustained populations in the region for millennia and soils were critical for sustaining this activity which included wheat and barley production. Soil dataset is attributed with soil type, secondary soil type and soil code variables. Additional attributes include land use type, other land uses and tertiary land use activities.

This contour dataset complements 13 other datasets as part of a study that compared ancient settlement patterns with modern environmental conditions in the Jazira region of Syria. This study examined settlement distribution and density patterns over the past five millennia using archaeological survey reports and French 1930s 1:200,000 scale maps to locate and map archaeological sites. An archaeological site dataset was created and compared to and modelled with soil, geology, terrain (contour), surface and subsurface hydrology and normal and dry year precipitation pattern datasets; there are also three spreadsheet datasets providing 1963 precipitation and temperature readings collected at three locations in the region. The environmental datasets were created to account for ancient and modern population subsistence activities, which comprise barley and wheat farming and livestock grazing. These environmental datasets were subsequently modelled with the archaeological site dataset, as well as, land use and population density datasets for the Jazira region. Ancient trade routes were also mapped and factored into the model, and a comparison was made to ascertain if there was a correlation between ancient and modern settlement patterns and environmental conditions; the latter influencing subsistence activities. This contour dataset was generated to determine if higher elevations affected rainfall patterns, which in turn, influenced water runoff. Higher precipitation and runoff could influence settlement patterns as water could be collected at lower elevations for the irrigation of short season cultigens. The contour dataset was also used to generate digital elevation models (DEM) to demonstrate the effects of elevations and trade route patterns in the. Derived from 1:200,000 French maps comprising the 1:200,000 French Levant Map Series sheets (Further Information element in this metadata record provides list of sheets).The contour dataset was captured from 11 map sheets, which were based on the French Levant surveys conducted in Syria during the 1930s and mapped at a scale of 1:200,000. The size of each map measures 69 x 59 cm. The contour lines on each sheet were traced to mylar. Subsequently, each mylar sheet was photocopied and reduced in size to an 11 x 17 inch sheet. These sheets were merged to form the contiguous area comprising the full extent of the boundary for the study area. This was then traced again to another mylar sheet and subsequently scanned and cleaned for further processing and use in a GIS. GIS vector data. This dataset was first accessioned in the EDINA ShareGeo Open repository on 2010-07-06 and migrated to Edinburgh DataShare on 2017-02-21.

This dataset complements 13 other datasets as part of a study that compared ancient settlement patterns with modern environmental conditions in the Jazira region of Syria. This study examined settlement distribution and density patterns over the past five millennia using archaeological survey reports and French 1930s 1:200,000 scale maps to locate and map archaeological sites. An archaeological site dataset was created and compared to and modelled with soil, geology, terrain (contour), surface and subsurface hydrology and normal and dry year precipitation pattern datasets; there are also three spreadsheet datasets providing 1963 precipitation and temperature readings collected at three locations in the region. The environmental datasets were created to account for ancient and modern population subsistence activities, which comprise barley and wheat farming and livestock grazing. These environmental datasets were subsequently modelled with the archaeological site dataset, as well as, land use and population density datasets for the Jazira region. Ancient trade routes were also mapped and factored into the model, and a comparison was made to ascertain if there was a correlation between ancient and modern settlement patterns and environmental conditions; the latter influencing subsistence activities. This dataset was created to show precipitation patterns for normal years in the Jazira region; annual precipitation is measured in millimetres. The purpose of mapping was to compare precipitation and settlement patterns in the region. The northern half of the Jazira region receives adequate annual rainfall to sustain dry farming activities; during dry seasons, suitable rainfall is restricted to the northern edges of the region and in higher elevations. Derived from maps produced in following publication: Eugen Wirth: Syrien, eine geographsiche Landeskunde, Wissenschaftliche Buchgesellschaft, Darmstadt 1971.Normal year precipitation map was copied to mylar and scanned to create a polygon coverage. Each polygon was labeled and attributed with precipitation values measured in millimetres. GIS vector data. This dataset was first accessioned in the EDINA ShareGeo Open repository on 2010-09-14 and migrated to Edinburgh DataShare on 2017-02-21.

Quantification of (i) areas suitable for Phlebotomus papatasi occurrence in relation to the whole country; (ii) the population at risk of cutaneous leishmaniasis using different population grids; and (iii) the population at risk in relation to the total population, using different suitability cut-off values.

Mean change in values (n = 96) between original multicriteria decision analysis outputs compared to new maps with either equal weights for all predictor variables, or assuming linear membership functions for all predictor variables.

Georeferenced data sources and manipulations for predictor variables.

A description of variables identified by previous studies and publication sources as influencing the distribution of Phlebotomus papatasi and their relationship with its occurrence.

Description of climate variables, number of weather stations, and years for which data were acquired from the Jordan Meteorological Department.

Based on the first author’s subjective judgment constructed from the literature review in Section 2.2.2.

Based on the first author’s subjective judgement constructed from published literature.