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特里同,新生代浮游有孔虫出现的一个新的种级数据库。

Triton, a new species-level database of Cenozoic planktonic foraminiferal occurrences.

机构信息

Department of Earth Sciences, University of Oxford, Oxford, UK.

School of Earth and Environment, University of Leeds, Leeds, UK.

出版信息

Sci Data. 2021 Jun 28;8(1):160. doi: 10.1038/s41597-021-00942-7.

Abstract

Planktonic foraminifera are a major constituent of ocean floor sediments, and thus have one of the most complete fossil records of any organism. Expeditions to sample these sediments have produced large amounts of spatiotemporal occurrence records throughout the Cenozoic, but no single source exists to house these data. We have therefore created a comprehensive dataset that integrates numerous sources for spatiotemporal records of planktonic foraminifera. This new dataset, Triton, contains >500,000 records and is four times larger than the previous largest database, Neptune. To ensure comparability among data sources, we have cleaned all records using a unified set of taxonomic concepts and have converted age data to the GTS 2020 timescale. Where ages were not absolute (e.g. based on biostratigraphic or magnetostratigraphic zones), we have used generalised additive models to produce continuous estimates. This dataset is an excellent resource for macroecological and macroevolutionary studies, particularly for investigating how species responded to past climatic changes.

摘要

浮游有孔虫是海底沉积物的主要组成部分,因此拥有最完整的化石记录之一。对这些沉积物进行采样的考察活动在整个新生代产生了大量的时空发生记录,但没有单一的来源来容纳这些数据。因此,我们创建了一个综合数据集,该数据集整合了浮游有孔虫时空记录的多个来源。这个名为 Triton 的新数据集包含超过 50 万个记录,是之前最大的数据库 Neptune 的四倍。为了确保数据源之间的可比性,我们使用一套统一的分类概念来清理所有记录,并将年龄数据转换为 GTS 2020 时间尺度。在没有绝对年龄的情况下(例如基于生物地层学或磁地层学带),我们使用广义加性模型来生成连续的估计。这个数据集是宏观生态学和宏观进化研究的极好资源,特别是用于研究物种如何应对过去的气候变化。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/760b/8239019/2680cfd35605/41597_2021_942_Fig1_HTML.jpg

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