Global Food Security

These are the main output data refer to in our paper entitled 'Does global food trade close the dietary nutrient gap of the world’s poorest nations? ' accessed through Global Food Security. Datasets consist of : Data S1 – Commodity list Data S2 – Bilateral total nutrient flows Data S3 – Bilateral nutrient flows by food commodity Data S4 – Nutrient adequacy of production, trade and supply Data S5 – Country node degrees

These are three main datasets that we calculated and refer to in our paper entitled 'Spatiotemporal trends in adequacy of dietary nutrient production and food sources' accessed through https://doi.org/10.1016/j.gfs.2020.100355 Datasets consist of : i) Median nutrient production by item and country-year ii) Total nutrient production by country-year and three main settings iii) Population-level Recommended Nutrient Intake estimates by country-year

Supplementary Material S1 (description of review process and data treatment) and Supplementary Material S2 (raw data collected from studies reviewed) for the manuscript entitled 'Methodological choices drive differences in environmentally-friendly dietary solutions'

Technical notes on the Global Economic Model (IMPACT) and Investment Scenarios included in the Study, Supporting sustainable expansion of livestock production in South Asia and Sub-Saharan Africa:

For eight, selected low and middle income countries included in a cross-country study of the role of livestock, this dataset shows: (1) assumptions made about household incomes and total population in 2050, associated with four scenarios of global change; (2) scenario projections of household food demand and net trade in 2050; (3) nutrient composition of selected foods of plant and animal origins included in the study; (4) calories and nutrient supply per capita in the study countries in 2010; and (5) the percent contributions of different types of livestock-derived foods to countries' nutrient supply in 2010 and 2050.

This dataset is a cross-country convenience sample of primary data measuring crop production and/or area by farm size for 55 countries (representing ~50% of global agricultural production). The harmonized dataset is nationally representative but at subnational resolution, sourced from both agricultural censuses and household surveys. The median year of the data is 2013, with a range from 2001 to 2015. The dataset covers 154 crop species and 11 farm size classes (0-1 ha, 1-2 ha, 2-5 ha, 5-10 ha, 10-20 ha, 20-50 ha, 50-100 ha, 100-200 ha, 200-500 ha, 500-1000 ha, and >1000 ha), and is ontologically interoperable with other global agricultural datasets, such as the Food and Agricultural Organization’s statistical database (FAOSTAT), and the World Census of Agriculture. The data set includes estimates of the quantity of food, feed, processed agricultural commodities, seed, waste (post-harvest loss), or other uses; and potential human nutrition (i.e. kilocalories, fats, and proteins in grams per capita) generated by each farm size class. We explain the details of the data set, the inclusion criteria used to assess each data source, the data harmonization procedures, and the spatial coverage. We detail assumptions underlying the construction of this dataset, including the use of aggregate field size as a proxy for farm size, and crop species omission biases resulting from converting local species names to harmonized names. We also provide bias estimates for commonly used methods for estimating food production by farm size: use of constant yields across farm size classes when crop production is not available, and relying on nationally representative household sample surveys that omitted non-family farms. Together this data set represents the most complete empirically grounded estimate of how much food and nutrition smallholder farmers produce from crops.

Dataset to investigate the effect of wage employment in the horticultural export sector on households' perceived food security. Data are derived from a household survey conducted in 2013 and 2016 in the rural communities of Diama, Gandon and Fass Ngom in Senegal, resulting in a balanced panel data set of 461 households.

This dataset contains the average amount of food consumed per Adult Male Equivalent (AME) in g and monetary values per capita per day and as monetary value for 60 food categories in Bangladesh, estimated from seven rounds of the H[I]ES system (1985, 1988, 1991, 1995, 2000, 2005, and 2010). We provide estimates for each of 60 food items item and major food groups, and disaggregate results by erstwhile division, expenditure quintile, rural/urban locality, and for presence/absence of children under five years of age in the household. This dataset provides a resource for tracking changes in consumption in Bangladesh from 1985 to 2010.