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Global River Sediments (GloRiSe) v1.1

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Zenodo2021-05-25 更新2026-05-25 收录
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https://zenodo.org/record/4485795
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This database is a set of 2828 suspended and bed sediment compositional measurements from 1683 locations around the globe. It is named Global River Sediments (<em>GloRiSe</em>), and includes major, minor and trace elements, along with mineralogical and petrographic data, and provides time-series for some sites. Each observation is complemented by metadata describing geographic location, sampling date and time, sample treatment and measurement details, which allows for grouping and selection of observations, as well as for interoperability with external data sources and improves interpretability. Information on references, unit conversion and references make the database comprehensible. Notably, the close to globe-spanning extent of this compilation allows to derive data-driven, spatially resolved global-scale conclusions about the role of rivers and processes related to them within the Earth-system. Practically, this data may be used for e.g. (spatial) statistical modelling and model testing, to complement local or regional datasets, to explore and compare time-series at different locations, to screen potential for field studies, to assess anthropogenic pollution or to characterize the material continuously transported to the global ocean and fresh-water reservoirs. Version 1.1 includes corrections and improvements in response to the review process (https://doi.org/10.5194/essd-2021-19).

本数据库收录了全球1683个采样点的2828组悬浮沉积物与河床沉积物成分测定数据。该数据集命名为全球河流沉积物(Global River Sediments,简称GloRiSe),涵盖主量元素、次量元素与痕量元素的测定结果,同时包含矿物学及岩石学数据,部分采样点还提供了时间序列数据。每条观测数据均附带配套元数据,涵盖采样地理位置、采样日期与时间、样品处理方式及测定细节等信息,可实现观测数据的分组与筛选,同时支持与外部数据源的互操作性,并提升了数据的可解释性。相关参考文献说明与单位转换规则等信息,进一步提升了本数据库的可读性与可理解性。值得注意的是,该数据集的采样范围近乎遍及全球,可支撑开展数据驱动的、具备空间分辨率的全球尺度研究,阐明河流及其相关过程在地球系统中的作用。实际应用中,该数据集可用于(空间)统计建模与模型验证、补充本地或区域数据集、对比不同地点的时间序列数据、筛选野外研究候选点位、评估人为污染状况,以及对持续输送至全球海洋与淡水水库的沉积物物质进行特征刻画。1.1版本针对审稿流程的反馈进行了修正与优化,相关DOI为https://doi.org/10.5194/essd-2021-19。
提供机构:
Zenodo
创建时间:
2021-05-25
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