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    The National Food Security Assessment (NaFSA) tool is part of the toolbox of the Food Security Standard (FSS). The FSS integrates the Right to Food into sustainability certification schemes by translating it into a set of criteria that can be verified during a sustainability audit in the agricultural sector. Prior to the audit, the auditor has to familiarize him-/herself with the food security situation and the related overall framework conditions in the audit country and become more familiar with the manifold aspects of food security and the Right to Food. The Excel-based NaFSA tool facilitates a quick and easy, yet comprehensive preparation of the auditor using publicly available information from websites of UN-agencies and other relevant institutions. The NaFSA tool consists of 8 categories relevant for food security and the Right to adequate Food with a total of 27 indicators. For more information please see the link to the websites of the Food Security Standard below.

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    A total of four field experiments was conducted in farmers'fields in 2013 and 2014 at Tram Kak and Prey Kabas district, Takeo province of Cambodia.

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    The table includes soil properties for Ashanti and Brong-Ahafo regions in Ghana Temporal coverage approximate 1950-2005. Spatial resolution 1kmx1km.

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    The survey was conducted in 2013 by interviewing 232 farmers in Tram Kak and Prey Kabas district of Takeo province, Cambodia. The survey provides the information on farmers´perceptions of leguminous green manure.

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    In our research we assess the sustainability performance of 400 smallholder farms practicing organic (i.e. certified or non-certified) and non-organic agriculture (i.e. conventional or other) using the Sustainability Monitoring and Assessment RouTine (SMART)-Farm Tool and examine differences between these farm categories using multivariate analyses. We also identify general gaps in sustainability performance for all farms. Murang'a County, Kajiado County.

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    In our research we assess the sustainability performance of 400 smallholder farms practicing organic (i.e. certified or non-certified) and non-organic agriculture (i.e. conventional or other) using the Sustainability Monitoring and Assessment RouTine (SMART)-Farm Tool and examine differences between these farm categories using multivariate analyses. We also identify general gaps in sustainability performance for all farms.

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    The file was developed to assess the performance of a novel bamboo-drip irrigation system in laboratory and in field conditions, in South-west Benin. The assessment was conducted in terms of hydraulics, uniformity, yield, water productivity and soil-water management.

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    Macro level data (annual) for Indian food grain sector. Based on secondary data

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    The data file entitled “Emergy analysis of maize production in Ghana” is based on an empirical study to assess the resource as well as energy use efficiency of maize production systems using the Emergy-Data Envelopment Analysis approach, which was developed within the context of the BiomassWeb Project. The study area was Bolgatanga and Bongo Districts, Ghana, sub-Saharan Africa. The approach was developed by coupling Emergy Analysis and Data Envelopment Analysis methods into a framework, and integrating the concept of eco-efficiency into the framework to assess the resource as well as energy use efficiency and sustainability of agroecosystems as a whole. In this data file, the Emergy Analysis method is applied to achieve enviromental and economic accounting of maize production systems in Ghana. The Agricultural Productivity Systems sIMulator (APSIM) was used to model five maize-based production scenarios as follows: 1. Extensive rainfed maize system if the external input is 0 kg/ha/yr urea, with/ without manure (Extensive0). 2. Extensive rainfed maize system if the external input is 12 kg/ha/yr NPK, with/ without manure (Extensive12). 3. Rainfed maize-legume (cowpea - Vigna unguiculata, soybean - Glycine max, or groundnut - Arachis hypogaea) intercropping system if the external input is 20 kg/ha/yr urea, with/ without manure (Intercrop20). 4. Intensive maize system if the external input is 50 kg/ha/yr urea, including supplemental irrigation (Intensive50). 5. Intensive maize system if the external input is 100 kg/ha/yr urea, including supplemental irrigation (Intensive100). The five scenarios were compared on the basis of the evaluation that was achieved using the Emergy Analysis to account for resource as well as energy use efficiency and sustainability. The data were processed using mathemathecal functions in Microsoft Excel. The data file is organized in seven sheet tabs, and they are linked. Comments have been added to make the content self-explanatory. Where secondary data have been used, the sources have been cited. This data file was authored by Mwambo, Francis Molua.

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    This data (Primary Data for BiomassWeb WP4.5) is on agricultural land use and resource management practices in small-scale maize systems in Bolgatanga and Bongo Districts, Upper East Region, Ghana. The data were collected by Francis Molua Mwambo, using semi-structured questionnaire to interview small-scale maize farmers in 2015. The data are based on the interviewees' estimate which were provided as feedback to the questionnaire.