Data underlying the publication: Forecasting estuarine salt intrusion in the Rhine-Meuse delta using an LSTM model

Raw and processed data used to build an LSTM model for salt intrusion at Krimpen aan den IJssel in the Rhine-Meuse delta. Raw water data names are in all capitals and are formatted as VARIABLE_LOCATION_FIRSTYEAR_LASTYEAR_IDENTIFIER.csv Variables used are:chloride concentration (CONCTTE)discharge (Q)water level (WATHTE) Locations used are:Krimpen aan den IJssel (KRIMPADIJSL)Lekhaven(LEKHVRTOVER)Hagestein(HAGSBVN)Lobith(LOBH)Tiel(TIELWL)Dordrecht(DORDT)Hoek van Holland (HOEKVHLD)Vlaardingen(VLAARDGN) All these data can also be downloaded from https://waterinfo.rws.nl/#!/nav/expert/. This can be done efficiently with the ddlpy software: https://github.com/openearth/ddlpy. The file etmgeg_344.txt contains meteorological data mesured in Rotterdam by KNMI (https://www.knmi.nl/nederland-nu/klimatologie/daggegevens) Features.csv contains daily minimum, mean and maximum values of the water data from Rijkswaterstaat and the wind data from KNMI.本数据集用于构建莱茵-默兹三角洲克林彭安登艾瑟尔地区盐度入侵的长短期记忆网络模型，包含原始与预处理后的水文与气象数据。原始水文数据文件均采用全大写命名，格式为`VARIABLE_LOCATION_FIRSTYEAR_LASTYEAR_IDENTIFIER.csv`。所用变量包括氯离子浓度（CONCTTE）、流量（Q）、水位（WATHTE）。所用监测站点包括克林彭安登艾瑟尔（KRIMPADIJSL）、莱克港（LEKHVRTOVER）、哈赫斯泰因（HAGSBVN）、洛比特（LOBH）、蒂尔（TIELWL）、多德雷赫特（DORDT）、荷兰角港（HOEKVHLD）、弗拉尔丁恩（VLAARDGN）。所有此类数据均可从指定网址下载，亦可通过ddlpy软件高效获取，该软件开源地址为https://github.com/openearth/ddlpy。文件etmgeg_344.txt包含荷兰皇家气象研究所（KNMI）在鹿特丹测得的气象数据，数据源网址为https://www.knmi.nl/nederland-nu/klimatologie/daggegevens。Features.csv文件包含来自荷兰国家水利署（Rijkswaterstaat）的水文数据每日最小值、均值与最大值，以及来自KNMI的风速数据。