Yellowstone Upper Basin Geyser binary eruption data (April 2007- October 2008; revised)

Geyser eruptions were monitored using sensors that record temperature in outflow channels. Temperature data was mapped to binary (1/0) time series, with ones indicating an eruption. Eruptions were characterized by a rapid, short increase in temperature (typically temperature peaks above 50°C, implemented using Python's peakutils function). To minimize false positive eruptions in the temperature records, we relied on an independent observation-based dataset consisting of IBE assessments from collocated temperature sensors deployed by GOSA to specify a minimum distance between temperature peaks for each geyser.本研究通过部署于喷流通道的温度传感器，对间歇泉（Geyser）的喷发活动进行监测。将所获温度数据映射为二值（1/0）时间序列，其中数值1代表喷发事件发生。间歇泉喷发的典型特征为温度快速且短暂的升高，通常表现为峰值温度超过50℃，该判定规则通过Python的peakutils函数实现。为尽可能降低温度记录中假阳性喷发事件的误报率，本研究依托由GOSA部署的同步温度传感器所获取的IBE评估结果构建的独立观测数据集，为每处间歇泉设定了温度峰值间的最小间隔阈值。