Wintertime water quality measurements at beaver ponds and associated locations in Arctic Alaska, 2022-2026.

This dataset contains water quality measurements and snow and ice data from Alaskan beaver ponds collected during the winter as part of the Arctic Beaver Observation Network. The Arctic Beaver Observation Network is a 5-year project (2021-2026) funded by the National Science Foundation. The natural science part of the project uses remote sensing to observe the progress and impacts of beaver engineering in the Arctic, starting in Alaska and extending into Canada and Eurasia. The project also establishes field sites at tundra beaver ponds to study the implications of beaver engineering on hydrology and permafrost, as well as pond evolution documented using Unmanned Aerial Systems (UAS). Remote sensing work will map beaver ponds over time. Field measurements at tundra beaver ponds are made in August and late March. Data generated by field measurements include water level and temperature from pressure-transducers, subsurface imaging from ground-penetrating radar, sonar measurements for beaver pond bathymetry, tabular data associated with water quality measurements, and ice thickness and water depth (in winter). Data is also posted from UAS surveys: annual visible and multi-spectral surveys, as well as snow depth.

本数据集收录了北极海狸观测网络（Arctic Beaver Observation Network）项目冬季期间采集的阿拉斯加海狸池塘水质测量数据与冰雪相关数据。该北极海狸观测网络是由美国国家科学基金会（National Science Foundation）资助的为期5年（2021-2026年）的研究项目。本项目的自然科学研究部分采用遥感技术，观测北极地区海狸工程活动的进程与影响，研究范围始于阿拉斯加，延伸至加拿大与欧亚大陆。项目还在苔原海狸池塘设立野外监测站点，以研究海狸工程活动对水文与永久冻土的影响，以及利用无人机系统（Unmanned Aerial Systems, UAS）记录的池塘演化过程。遥感研究将长期绘制海狸池塘的空间分布图谱。苔原海狸池塘的野外测量工作于每年8月与3月下旬开展。野外测量产生的数据包括：压力传感器采集的水位与水温数据、探地雷达获取的地下成像数据、用于海狸池塘水底地形测量的声呐数据、与水质测量相关的表格数据，以及冬季采集的冰厚与水深数据。此外，本数据集还收录无人机系统（UAS）勘测获取的数据：包括年度可见光与多光谱勘测数据，以及积雪深度数据。