Pollen based annual precipitation for Lake Bayan Nuur ...
Method for quantitative reconstruction of mean July air temperatures (Tjuly). The quantitative reconstruction of mean July air temperatures (TJuly) is based on calibration chironomid data sets for lakes from northern Russia (Nazarova et al., 2015, doi:10.1016/j.gloplacha.2014.11.015). Mean July air...
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2023
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Online Access: | https://dx.doi.org/10.1594/pangaea.953305 https://doi.pangaea.de/10.1594/PANGAEA.953305 |
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ftdatacite:10.1594/pangaea.953305 2023-07-23T04:17:52+02:00 Pollen based annual precipitation for Lake Bayan Nuur ... Rudaya, Natalia Nazarova, Larisa B Frolova, Larisa A Palagushkina, Olga V Soenov, Vasiliy Cao, Xianyong Syrykh, Luidmila S Grekov, Ivan Otgonbayar, Demberel Bayarkhuu, Batbayar 2023 text/tab-separated-values https://dx.doi.org/10.1594/pangaea.953305 https://doi.pangaea.de/10.1594/PANGAEA.953305 en eng PANGAEA https://dx.doi.org/10.1594/pangaea.953309 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 DEPTH, sediment/rock AGE Temperature, air, July Sediment corer see description in data abstract Dataset dataset 2023 ftdatacite https://doi.org/10.1594/pangaea.95330510.1594/pangaea.953309 2023-07-03T22:05:33Z Method for quantitative reconstruction of mean July air temperatures (Tjuly). The quantitative reconstruction of mean July air temperatures (TJuly) is based on calibration chironomid data sets for lakes from northern Russia (Nazarova et al., 2015, doi:10.1016/j.gloplacha.2014.11.015). Mean July air temperatures were inferred using a North Russian (NR) chironomid-based temperature inference model (WA-PLS, 2 component; r 2 boot = 0.81; RMSEP boot =1.43 °C) based on a modern calibration data set of 193 lakes and 162 taxa from East and West Siberia (61-75°N, 50-140 °E, T July range 1.8 - 18.8 °C). The mean July air temperature of the lakes for the calibration data set was derived from New et al. (2002, doi:10.3354/cr021001). The TJuly NR model was previously applied to palaeoclimatic inferences in Europe, arctic Russia, East and West Siberia, and demonstrated a high reliability of the reconstructed parameters. The chironomid-inferred TJuly were corrected to 0 m a.s.l. using a modern July air temperature lapse ... Dataset Arctic Siberia DataCite Metadata Store (German National Library of Science and Technology) Arctic Nazarova ENVELOPE(161.250,161.250,-81.917,-81.917) |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
DEPTH, sediment/rock AGE Temperature, air, July Sediment corer see description in data abstract |
spellingShingle |
DEPTH, sediment/rock AGE Temperature, air, July Sediment corer see description in data abstract Rudaya, Natalia Nazarova, Larisa B Frolova, Larisa A Palagushkina, Olga V Soenov, Vasiliy Cao, Xianyong Syrykh, Luidmila S Grekov, Ivan Otgonbayar, Demberel Bayarkhuu, Batbayar Pollen based annual precipitation for Lake Bayan Nuur ... |
topic_facet |
DEPTH, sediment/rock AGE Temperature, air, July Sediment corer see description in data abstract |
description |
Method for quantitative reconstruction of mean July air temperatures (Tjuly). The quantitative reconstruction of mean July air temperatures (TJuly) is based on calibration chironomid data sets for lakes from northern Russia (Nazarova et al., 2015, doi:10.1016/j.gloplacha.2014.11.015). Mean July air temperatures were inferred using a North Russian (NR) chironomid-based temperature inference model (WA-PLS, 2 component; r 2 boot = 0.81; RMSEP boot =1.43 °C) based on a modern calibration data set of 193 lakes and 162 taxa from East and West Siberia (61-75°N, 50-140 °E, T July range 1.8 - 18.8 °C). The mean July air temperature of the lakes for the calibration data set was derived from New et al. (2002, doi:10.3354/cr021001). The TJuly NR model was previously applied to palaeoclimatic inferences in Europe, arctic Russia, East and West Siberia, and demonstrated a high reliability of the reconstructed parameters. The chironomid-inferred TJuly were corrected to 0 m a.s.l. using a modern July air temperature lapse ... |
format |
Dataset |
author |
Rudaya, Natalia Nazarova, Larisa B Frolova, Larisa A Palagushkina, Olga V Soenov, Vasiliy Cao, Xianyong Syrykh, Luidmila S Grekov, Ivan Otgonbayar, Demberel Bayarkhuu, Batbayar |
author_facet |
Rudaya, Natalia Nazarova, Larisa B Frolova, Larisa A Palagushkina, Olga V Soenov, Vasiliy Cao, Xianyong Syrykh, Luidmila S Grekov, Ivan Otgonbayar, Demberel Bayarkhuu, Batbayar |
author_sort |
Rudaya, Natalia |
title |
Pollen based annual precipitation for Lake Bayan Nuur ... |
title_short |
Pollen based annual precipitation for Lake Bayan Nuur ... |
title_full |
Pollen based annual precipitation for Lake Bayan Nuur ... |
title_fullStr |
Pollen based annual precipitation for Lake Bayan Nuur ... |
title_full_unstemmed |
Pollen based annual precipitation for Lake Bayan Nuur ... |
title_sort |
pollen based annual precipitation for lake bayan nuur ... |
publisher |
PANGAEA |
publishDate |
2023 |
url |
https://dx.doi.org/10.1594/pangaea.953305 https://doi.pangaea.de/10.1594/PANGAEA.953305 |
long_lat |
ENVELOPE(161.250,161.250,-81.917,-81.917) |
geographic |
Arctic Nazarova |
geographic_facet |
Arctic Nazarova |
genre |
Arctic Siberia |
genre_facet |
Arctic Siberia |
op_relation |
https://dx.doi.org/10.1594/pangaea.953309 |
op_rights |
Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 |
op_doi |
https://doi.org/10.1594/pangaea.95330510.1594/pangaea.953309 |
_version_ |
1772179943681163264 |