Preskoči na vsebino

Data Portal

Explore and download the Museum’s research and collections data.

Data supporting 'The distribution and abundance of chironomids in high-latitude Eurasian lakes with respect to temperature and continentality: development and application of new chironomid-based climate-inference models in northern Russia.'

This dataset is a csv file of abundance data of chironomid larvae subfossils isolated from surface sediments collected from lakes in arctic and subarctic Russia between 61 and 72 °N and 50 - 132 °E. The 81 lakes form the calibration dataset used to develop a chironomid-based inference model to estimate past mean July air temperatures. The data comprise lake code, July air temperatures estimated for each lake by spatial interpolation of meteorological records and percentage abundance data of the chironomid taxa. Further details of the lakes and development of the inference model are given in the following reference:

A.E. Self, S.J. Brooks, H.J.B. Birks, L. Nazarova, D. Porinchu, A. Odland, H. Yang and, V.J. Jones (2011). The distribution and abundance of chironomids in high-latitude Eurasian lakes with respect to temperature and continentality: development and application of new chironomid-based climate-inference models in northern Russia. Quaternary Science Reviews 30: 1122-1141.

Podatki in viri

Cite this as

Angela Self (2016). Data supporting 'The distribution and abundance of chironomids in high-latitude Eurasian lakes with respect to temperature and continentality: development and application of new chironomid-based climate-inference models in northern Russia.' [Data set]. Natural History Museum. https://doi.org/10.5519/0012370
Retrieved: 04:48 17 Sep 2026 (UTC) BibTeX

Dodatne informacije

Polje Vrednost
Affiliation Natural History Museum
Primary contributors
Self, Angela ( 0000-0002-8091-8887)
Other contributors
Nazadnje posodobljeno 08. april 2019
Last resource update 08. april 2019 (neer-ts.csv)
Ustvarjeno 26. maj 2016
Licenca CC-BY-SA-4.0