MARUM Center for Marine Environmental Sciences, University of Bremen, Leobener Straße 8, Bremen 28359, Germany.
Sci Data. 2017 Aug 22;4:170109. doi: 10.1038/sdata.2017.109.
Census counts of marine microfossils in surface sediments represent an invaluable resource for paleoceanography and for the investigation of macroecological processes. A prerequisite for such applications is the provision of data syntheses for individual microfossil groups. Specific to such syntheses is the necessity of taxonomical harmonisation across the constituent datasets, coupled with dereplication of previous compilations. Both of these aspects require expert knowledge, but with increasing number of records involved in such syntheses, the application of expert knowledge via manual curation is not feasible. Here we present a synthesis of planktonic foraminifera census counts in surface sediment samples, which is taxonomically harmonised, dereplicated and treated for numerical and other inconsistencies. The data treatment is implemented as an objective and largely automated pipeline, allowing us to reduce the initial 6,984 records to 4,205 counts from unique sites and informative technical or true replicates. We provide the final product and document the procedure, which can be easily adopted for other microfossil data syntheses.
海洋微化石的表层沉积物普查计数是古海洋学和宏观生态过程研究的宝贵资源。此类应用的前提是为各个微化石群提供数据综合。这种综合的一个特定要求是必须对组成数据集进行分类协调，并对以前的汇编进行去重。这两个方面都需要专业知识，但随着此类综合涉及的记录数量不断增加，通过人工编辑来应用专业知识是不可行的。在这里，我们展示了一个经过分类协调、去重并处理数值和其他不一致性的表层沉积物样本浮游有孔虫普查计数综合。数据处理是作为一个客观的、基本上自动化的流程来实现的，这使我们能够将最初的 6984 条记录减少到 4205 个来自独特地点和信息性技术或真实重复的计数。我们提供最终产品并记录该过程，该过程可以轻松应用于其他微化石数据综合。
