Cave drip water electrical conductivity data from Cueva de Asiul, Northern Spain (2010 -2014) with supporting hydrological and external climate datasets. (NERC studentship grant NE/I527953/1)

The data set provides climate and cave monitoring data from Cueva de Asiul, Cantabria, northern Spain. This data was initially presented in graphical form in Smith et al., (2015) - Drip water Electrical Conductivity as an indicator of cave ventilation at the event scale. Science of the Total Environment, 532, 517-527. All data was collected from within the cave or within a 1km radius of the cave site (43°19'0"N, 3°35'28"W) using instrumentation set up as part of a PhD project running between January 2010 and January 2014. The data set includes high resolution event based monitoring data for a range of climatic parameters - cave and external temperature, rainfall amount, soil pCO2 cave air pCO2 concentration, cave drip water calcium saturation, drip water electrical conductivity and cave air pressure. This data was analysed at Lancaster University, UK or at the NERC isotope geosciences laboratory, British Geological Survey, UK. Any missing data from this 4 year period is a result of instrument malfunction and is clearly explained within the above cited paper. The electrical conductivity component of the data set offers the first data set of this type form any cave system, using a submerged CTD Diver probe and novel piston flow housing. The rest of the data constitute a part of a larger cave monitoring data set produced during the project using a number of standard automated cave monitoring devices. When combined this data leads us to conclude that cave drip water electrical conductivity is driven primarily by changes in cave air pCO2 at Cueva de Asiul and therefore responds to cave ventilation dynamics, rather than by changes in karst water residence time. Without such extremely high resolution monitoring the impact of cave ventilation on event based changes in drip water electrical conductivity would not have been established for this site. This data set should be of interest to anyone studying similar cave sites, interested in the role of electrical conductivity as a monitoring tool within caves and cave ventilation on speleothem growth dynamics. The data set was collected by members of Lancaster University and the Matienzo caving expedition as part of NERC studentship grant NE/I527953/1. All cave monitoring was undertaken with kind permission from Gobierno de Cantabria, Cultura.

本数据集源自西班牙卡斯蒂利亚-莱昂大区坎塔布里亚省的阿西乌尔洞穴，提供了该洞穴的气候与洞穴监测数据。该数据最初以图形形式呈现于Smith等人（2015）的研究论文中——《滴落水电气导率作为洞穴通风事件尺度指示器的科学》。所有数据均采集自洞穴内部或距洞穴遗址1公里范围内，通过作为博士项目一部分而设立的仪器收集，该项目自2010年1月至2014年1月间运行。数据集包含了针对一系列气候参数的高分辨率事件型监测数据，包括洞穴及外部温度、降雨量、土壤二氧化碳分压、洞穴空气二氧化碳浓度、洞穴滴落水中钙饱和度、滴落水电气导率和洞穴空气压力。该数据在英国兰卡斯特大学或英国自然环境和研究委员会同位素地球科学实验室进行过分析。上述4年期间的数据缺失，系仪器故障所致，并在上述引用论文中有明确解释。数据集中的电气导率部分，首次以任何洞穴系统为对象，通过使用浸没式CTD潜水探测器和新型活塞流腔体提供。其余数据构成了项目期间使用多种标准自动化洞穴监测设备产生的更大规模洞穴监测数据集的一部分。当这些数据结合在一起时，揭示了洞穴滴落水电气导率主要受阿西乌尔洞穴洞穴空气二氧化碳浓度变化驱动，并因此对洞穴通风动态作出响应，而非由喀斯特水停留时间的变化引起。没有如此高分辨率的监测，本遗址洞穴通风对滴落水电气导率事件型变化的影响无法确立。本数据集对研究类似洞穴遗址、关注洞穴内电气导率作为监测工具作用以及洞穴通风对洞穴石笋生长动力学影响的研究者而言，应具有极大的研究价值。数据收集由兰卡斯特大学成员和Matienzo洞穴探险队成员完成，作为NERC学生奖学金项目NE/I527953/1的一部分。所有洞穴监测均得到卡塔尼亚政府文化部门的友好许可。