Data products associated with "Imaging seasonal progression of melt and snowline change across Alaska using SAR reveals impacts of heat waves"

Data for Wells et al. (2025) "Imaging seasonal progression of melt and snowline change across Alaska using SAR reveals impacts of heat waves," Nature Geoscience, in prep.The associated files contain csv files of binned backscatter, melt extent, and snowline time series for 3,023 glaciers in Alaska (99% of glaciers >2 sq. km). Folders are zipped into subsets based on RGI ID. All data can also be easily visualized and downloaded at https://alaskasnowlines.streamlit.app/. Spatially-distributed backscatter animations can similarly be viewed for all named glaciers at https://alaskasnowlines.streamlit.app/ or downloaded on Zenodo (see additional repositories: glaciers A through C, glaciers D through G, glaciers H through L, glaciers M through R, glaciers S, glaciers T through Z)本数据集对应Wells等人（2025）发表于《自然·地球科学》（Nature Geoscience）、处于待刊阶段的研究《利用合成孔径雷达（Synthetic Aperture Radar, SAR）成像解析阿拉斯加地区融化与雪线变化的季节进程，揭示热浪的影响》。 本数据集的配套文件包含阿拉斯加地区3023条冰川（占面积大于2平方千米冰川总数的99%）的分箱后向散射、融化范围以及雪线时间序列的逗号分隔值（Comma-Separated Values, CSV）文件。所有文件夹均按照兰多夫冰川编目（Randolph Glacier Inventory, RGI）编号打包为压缩子集。所有数据均可通过https://alaskasnowlines.streamlit.app/便捷实现可视化与下载。 所有已命名冰川的空间分布式后向散射动画，同样可通过https://alaskasnowlines.streamlit.app/查看，或在Zenodo平台下载（详见附属仓库：冰川A-C组、冰川D-G组、冰川H-L组、冰川M-R组、冰川S组、冰川T-Z组）