Dataset related to publication "Fiber Sensing with Internet Cables: A tool for long-term marine environmental monitoring" by I. Shulten et al.

This folder contains monthly datasets of periods considered in the paper "Fiber Sensing with Internet Cables: A tool for long-term marine environmental monitoring" by I. Shulten et al. and a basic Python script to process them.

This study has been conducted using:

- Wind speed and direction, precipitation, and temperature data in Catania and Pachino available from the Sicily Service for Agricultural Meteorology (http://www.sias.regione.sicilia.it/frameset_download.htm).

- Tide gauge data from eastern Sicily available through the European Commission Joint Research Centre - ISPRA - Space, Security and Migration Directorate Space, (https://webcritech.jrc.ec.europa.eu/TAD_server/Home).

- Earthquake data from Istituto Nazionale di Geofisica e Vulcanologia (INGV). (2005). Rete Sismica Nazionale (RSN). Istituto Nazionale di Geofisica e Vulcanologia (INGV). (https://doi.org/10.13127/sd/x0fxnh7qfy). 

Co-funded by the European Union under project 101189545-SENSEI. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union. Neither the European Union nor the granting authority can be held responsible for them.

本文件夹包含I. Shulten等人所著论文《基于互联网光缆的光纤传感：长期海洋环境监测工具》(Fiber Sensing with Internet Cables: A tool for long-term marine environmental monitoring) 中所考量时段的月度数据集，以及一份用于处理这些数据的基础Python脚本。

本研究使用了以下数据源：
- 卡塔尼亚（Catania）与帕奇诺（Pachino）的风速、风向、降水量及气温数据，此类数据可从西西里农业气象服务中心（Sicily Service for Agricultural Meteorology）获取，来源网址为http://www.sias.regione.sicilia.it/frameset_download.htm。
- 西西里东部地区的验潮仪数据，可通过欧盟委员会联合研究中心（European Commission Joint Research Centre）- 意大利环境保护与研究高级研究院（ISPRA）- 空间、安全与迁移总局空间部门获取，相关链接为https://webcritech.jrc.ec.europa.eu/TAD_server/Home。
- 地震数据来自意大利国家地球物理与火山学研究所（Istituto Nazionale di Geofisica e Vulcanologia, INGV）。(2005). 国家地震台网（Rete Sismica Nazionale, RSN）. 意大利国家地球物理与火山学研究所（INGV）. 相关DOI标识：https://doi.org/10.13127/sd/x0fxnh7qfy。

本研究由欧盟资助项目编号101189545-SENSEI共同资助。需注意的是，本文所表达的观点仅代表作者本人，未必反映欧盟的官方立场。欧盟及项目资助机构均不对本文内容及观点承担任何责任。