Journal
DATA IN BRIEF
Volume 43, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.dib.2022.108431
Keywords
European Alps; Little Ice Age; Lake sediments; Chironomidae; Subfossils; Summer air temperature; Transfer function approach
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Funding
- Austrian Academy of Sciences (OAW) [P 7430-032-011]
- Austrian Science Fund (FWF) [P 28469-B25]
- Austrian Science Fund [P 33786-N]
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This study presents a dataset of subfossil chironomid assemblages obtained from a high alpine lake in the Austrian Alps, along with detailed information on sample processing and reconstruction techniques. The dataset provides a detailed record of temperature changes in the Eastern Alps since AD 1300 and can be compared to other independent climate reconstructions.
We present a dataset of subfossil chironomid assemblages in the MUT-10 sediment core obtained from the high alpine lake Mutterbergersee in the Austrian Alps in 2010. The data were presented in the research article by Ilyashuk et al. (2019) The Little Ice Age signature in a 700-year high -resolution chironomid record of summer temperatures in the Central Eastern Alps. In addition to the results of the chi-ronomid analysis of 100 sediment samples presented in this article, we also include chironomid assemblage data from an additional 48 sediment samples that complement this dataset. The data includes raw chironomid counts, percent abundance of chironomid taxa, as well as mean July air tem-perature estimates derived from the chironomid record based on a chironomid-temperature transfer function. We also pro-vide information on age-dating of the sedimentary sequence. Given the high temporal resolution and the robust age-depth model of the record, the chironomid-based reconstruction of temperature since AD 1300 provides a detailed documenta-tion of climate change in the Eastern Alps from the Little Ice Age onwards and can be used for comparison with other in-dependent proxy-based climate reconstructions. In addition to the data, we detail the sample processing for subfossil chironomid analysis and provide a detailed description of the reconstruction technique used for producing chironomid-based quantitative temperature inferences. (C) 2022 Published by Elsevier Inc.
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