Central Scientific Services and Synthesis

核心项目2（C2）的主要目标是：㈠提供科学数据管理服务，汇编次级项目所要求的遥感和模型支持的高级别数据集; ㈡通过古DNA分析补充关于过去人类环境相互作用的观点; ㈢提供基因组和生物信息学支持; ㈣全面综合研究成果。科学数据服务将扩展到涵盖P7收集的大量甲虫记录，包括该物种的3D数字模型。探地雷达观测将用于绘制巨型Molerats的洞穴结构（链接到P4）。机器学习方法将用于提供区域完整的数据集。所有数据集将被转移到长期数据管理设施，以确保RU结束后的数据可用性。除了这些中心服务，在RU第一阶段发现的世界上最早的人类居住在高海拔地区的记录具有巨大的潜力，可以对古代DNA进行基因组分析，以提供（i）直接确认人类的存在，（ii）对人类进化的核心见解，（iii）分析沉积物中植物和动物遗骸的更高分类分辨率，和（iv）作为Bale Mountains生态系统的生态系统工程师和关键物种以及MSA觅食者的中心食物资源，对Giant Molerats种群遗传历史的见解。最后，C2将促进协作进程，以得出跨学科的环境历史的共同综合，同时也概述了剩余的知识差距，数据和潜在的学科矛盾。

The major aims of core project 2 (C2) are (i) the provisioning of scientific data management services and the compilation of remote-sensing and model supported higher-level data sets requested by the subprojects, (ii) the complementation of the view on past human environment interactions by ancient DNA analysis, (iii) the provisioning of genomic and bioinformatics support, and (iv) the overall synthesis of the research outcome. The scientific data services will be extended to cover the extensive beetle records collected in P7 including 3D digital models of the species. Ground-penetrating radar observations will be used to map the Giant Molerats’ burrow structure (link to P4). Machine-learning approaches will be used to provide area-complete datasets. All datasets will be transferred to long-term data curation facilities to ensure data availability after the end of the RU. Besides these central services, the worldwide earliest record of human occupation in high altitude discovered during Phase 1 of the RU bears a tremendous potential for genomic analyses of ancient DNA to provide (i) direct confirmation of human presence, (ii) central insights into human evolution, (iii) higher taxonomic resolution for analysing plant and animal remains from sediments, and (iv) insights into the population genetic history of Giant Molerats as the ecosystem engineers and keystone species in the Bale Mountains ecosystem and as central food resource of MSA foragers. Finally, C2 will facilitate the collaborative process to derive a common synthesis of the environmental history across disciplines while also outlining remaining knowledge gaps, data and potential disciplinary contradictions.