Energy in mitigating grain storage losses in India and the impact for nutrition

This dataset contains four files. The first 'Manuscript Code and Visualisation.ipynb' contains the code for an energy model used to quantify energy requirements for stored grains in India. Also within this file is the code for a series of plots and visualisations used in the manuscript 'Energy in mitigating grain storage losses in India and the impact for nutrition'. The folder 'Manuscript Data' contains three csv files; 'food_loss_rates.csv', 'grain_data.csv', and 'india_grain_loss_nutrition.csv'. The first of these contains survey data on losses by food group, region, and supply chain stage in India from the study by Jha et al (2015) from ICAR. We have digitized this data for use in the study. The second csv contains data on the biophysical characteristics of the five grains studied, including literature sourced values for harvest and storage moisture content and temperature. This data serve as inputs to the energy model described above. The third csv is a dataframe compiled by the authors from a number of different sources, and includes: India district level grain production statistics, loss rates, nutrition profiles (calories, protein, iron, zinc, vitamin A), calculated additional nutrition supply, and associated error/uncertainty with these values. Sources for this data can be found in the corresponding paper of the same title.本数据集包含四个文件。首个文件为「Manuscript Code and Visualisation.ipynb」，其中涵盖用于量化印度储粮能量需求的能量模型代码，同时包含论文《Energy in mitigating grain storage losses in India and the impact for nutrition》中所用的全套绘图与可视化代码。「Manuscript Data」文件夹内包含三个CSV格式文件，分别为`food_loss_rates.csv`、`grain_data.csv`与`india_grain_loss_nutrition.csv`。其中第一个CSV文件收录Jha等人2015年开展、来自印度农业研究委员会（Indian Council of Agricultural Research，以下简称ICAR）的研究数据，内容为印度按食品类别、区域及供应链环节划分的粮食损失调研数据，本团队已对该数据完成数字化处理以供本研究使用。第二个CSV文件包含本次研究所涉及的五种谷物的生物物理特性数据，包括从文献中溯源获取的收获含水率、储存含水率及储存温度数值，该数据将作为前述能量模型的输入参数。第三个CSV文件为作者团队整合多源数据得到的数据框，涵盖印度区级谷物产量统计数据、损失率、营养成分表（热量、蛋白质、铁、锌、维生素A）、测算得出的额外营养供给量，以及上述各数值对应的误差与不确定性。该数据的来源可参见同名对应学术论文。