Despite widespread use of branched glycerol dialkyl glycerol tetraethers (brGDGTs) for paleo-temperature reconstruction, no global calibration for their application in lakes has been generated since improved analytical methods have allowed for the separation of the structural isomers. This is a substantial obstacle for the application of this tool as soil calibrations underestimate temperature values when applied to lake sediments. Here, we present a comprehensive dataset ($N=272$) of lacustrine brGDGT distributions, consisting of both new and previously reported samples, spanning a wide range of geographical locations, air temperatures, and lakewater pH values. Empirical Orthogonal Function (EOF) analysis on the fractional abundance of brGDGTs indicates that temperature exerts a strong control (explaining $58\%$ of the variance) on brGDGT distribution. The influence of water chemistry is weaker, with pH and conductivity explaining $24\%$ of the variance. We use our dataset to generate a new Bayesian calibration to the mean temperature of Months Above Freezing (MAF), which has an $R^2=0.82$ and RMSE = $2.9°$C. Application of the new temperature calibration to a previously published lake core record spanning the last 900 years demonstrates that it generates values comparable to instrumental observations of MAF. Our new calibration facilitates the use of lacustrine brGDGTs to reconstruct continental temperatures, a vital piece of information for understanding past climates.

尽管支链甘油二烷基甘油四醚（brGDGT）广泛用于古温度重建，但由于改进的分析方法已允许分离结构异构体，因此尚未对其在湖泊中的应用进行全局校准。这对于该工具的应用是一个很大的障碍，因为当应用于湖泊沉积物时，土壤标定会低估温度值。在这里，我们展示了一个全面的数据集（$ñ=272$）湖泊brGDGT分布，包括新样品和先前报告的样品，分布在广泛的地理位置，气温和湖水pH值中。对brGDGT的分数丰度进行的经验正交函数（EOF）分析表明，温度具有很强的控制力（解释$58％$的方差）在brGDGT分布上。水化学的影响较弱，用pH和电导率解释$24％$的方差。我们使用我们的数据集来生成新的贝叶斯校准，以校准高于冰冻月（MAF）的平均温度。${\mathrm{[R}}^{\mathrm{2个}}=0.82$ 和RMSE = $2.9°$C.将新的温度校准应用到过去900年中已发布的湖心记录中，表明其产生的值可与MAF的仪器观测结果相媲美。我们的新标定促进了湖相brGDGT的使用来重建大陆温度，这是了解过去气候的重要信息。