Mateos Ana, Rodríguez Jesús
National Research Center on Human Evolution (CENIEH). Paseo Sierra de Atapuerca 3, 09002 Burgos, Spain.
Data Brief. 2023 Feb 6;47:108955. doi: 10.1016/j.dib.2023.108955. eCollection 2023 Apr.
Human bioenergetics has been incorporated into the palaeobiology of human ancestors during the last years to broaden our understanding of Human Evolution. The hypotheses based solely on the taxonomy and phylogenetic relationships of the fossil record, cannot easily explain many of the questions about the physiology of past humans. Data on the energetics and physiology of recent humans, together with comprehensive analyses of body proportions and body composition in relation to human metabolism, are needed to understand the evolutionary constraints of hominin ecophysiology. Furthermore, specific datasets including energetic data from modern humans are required to model hominin palaeophysiology. EVOBREATH Datasets were gradually developed since 2013 to store and manage all the data obtained in the Research Programs on Experimental Energetics developed by the Palaeophisiology and Human Ecology Group and the Palaeoecology of Mammals Group of the National Research centre on Human Evolution (CENIEH, Burgos, Spain). All experimental tests were developed either in the CENIEH BioEnergy and Motion Lab (LabBioEM) or in the field, using mobile devices. Datasets include quantitative experimental data related to human anthropometry (Height, Weight, all postcranial dimensions and segments, including hands and feet, and computation of anatomical indices), body composition (fat mass, fat-free mass, muscular mass, body water), and energetics (resting metabolic rate and energetic expenditure in different physical activities, oxygen consumption (O) and carbon dioxide (CO) production measured breath-by-breath) obtained in multiple studies with in vivo subjects of different ages (adults, adolescents and children) and both sexes ( = 501). These datasets are useful to optimize the time-consuming process of generating experimental data and to facilitate their reuse by the scientific community. Researchers can readily employ the datasets in their own research endeavours.
在过去几年中，人类生物能量学已被纳入人类祖先的古生物学研究，以加深我们对人类进化的理解。仅基于化石记录的分类学和系统发育关系的假设，很难解释许多关于古代人类生理学的问题。为了理解古人类生态生理学的进化限制，需要有关现代人类能量学和生理学的数据，以及对与人类新陈代谢相关的身体比例和身体组成的综合分析。此外，还需要包括现代人类能量数据在内的特定数据集，以模拟古人类的生理机能。自2013年以来，EVOBREATH数据集逐步发展，用于存储和管理古生理学与人类生态学小组以及西班牙布尔戈斯国家人类进化研究中心（CENIEH）哺乳动物古生态学小组开展的实验能量学研究项目中获得的所有数据。所有实验测试均在CENIEH生物能源与运动实验室（LabBioEM）或实地进行，使用移动设备。数据集包括与人体测量学（身高、体重、所有颅后尺寸和身体部位，包括手和脚，以及解剖学指数的计算）、身体组成（脂肪量、去脂体重、肌肉量、身体水分）和能量学（静息代谢率和不同体力活动中的能量消耗、逐次呼吸测量的耗氧量（O）和二氧化碳（CO）产生量）相关的定量实验数据，这些数据来自对不同年龄（成人、青少年和儿童）和性别的体内受试者（ = 501）进行的多项研究。这些数据集有助于优化生成实验数据这一耗时的过程，并便于科学界重复使用。研究人员可以在自己的研究工作中轻松使用这些数据集。
