Liu (2025) Data processing5 ka eventWang, Liu, et al.

Identification

• Journal: Mendeley Data
• Year: 2025
• Date: 2025-11-24
• Authors: Liu, Xiaokang
• DOI: 10.17632/p7w34pgtcp

Research Groups

Tianjin Normal University

Short Summary

This paper presents a processed time series dataset derived from seventeen high-quality paleoclimate proxy records, intended for identifying anomalous wet and dry climate conditions across West Asia, arid Central Asia, and north-central East Asia.

Objective

• To provide a processed time series dataset from high-quality paleoclimate proxy records to facilitate the identification of anomalous wet and dry climate conditions across West Asia, arid Central Asia, and north-central East Asia, with a focus on the 5 ka event.

Study Configuration

• Spatial Scale: West Asia, arid Central Asia, and north-central East Asia
• Temporal Scale: Holocene, with a specific focus on the 5 ka event

Methodology and Data

• Models used: Not specified; the work focuses on data processing.
• Data sources: Seventeen high-quality paleoclimate proxy records.

Main Results

• A processed time series dataset derived from seventeen high-quality paleoclimate proxy records has been generated and made available. This dataset is specifically designed to aid in the identification of anomalous wet and dry climate conditions across West Asia, arid Central Asia, and north-central East Asia.

Contributions

• Provision of a standardized and processed time series dataset from multiple high-quality paleoclimate proxy records, offering a valuable resource for future research on past climate anomalies, particularly the 5 ka event, in critical regions of Asia.

Funding

• Not specified.

Citation

@article{Liu2025Data,
  author = {Liu, Xiaokang},
  title = {Data processing_5 ka event_Wang, Liu, et al.},
  journal = {Mendeley Data},
  year = {2025},
  doi = {10.17632/p7w34pgtcp},
  url = {https://doi.org/10.17632/p7w34pgtcp}
}