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Müller, Daniela; Tjallingii, Rik; Płóciennik, Mateusz; Luoto, Tomi P; Kotrys, Bartosz; Plessen, Birgit; Ramisch, Arne; Schwab, Markus J; Błaszkiewicz, Mirosław; Słowiński, Michał; Brauer, Achim (2020): Temperature reconstructions during the late Allerød to early Preboreal from sediment core GOS18 in Lake Gościąż, Poland [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.924337

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Abstract:
These datasets provide data for the lowest part of a new composite profile GOS18 from Lake Gościąż in central Poland. The composite profile was established using sediment cores recovered in 2015 and 2018 with an UWITEC Piston Corer at 19.6-21.5 m water depth (Bonk et al., in press). Our data covers the time interval from the onset of lacustrine sedimentation in the late Allerød to the early Preboreal. Since Lake Gościąż comprises a continuous, seasonally resolved (varved) and exceptionally well-preserved archive of the Younger Dryas (YD) climate variation, it is highly suitable for detailed investigations of lake system responses during periods of rapid climate cooling (YD onset) and warming (YD termination), respectively. Chironomidae head capsules (hc) were utilized to reconstruct the mean July air temperature from the late Allerød to the early Preboreal in Lake Gościąż (central Poland). Sample resolution ranges from 0.5 to 6 cm. Two different training sets were used for the reconstruction - the Swiss-Norwegian-Polish Training Set (SNP TS) (Kotrys et al. 2020) and the East European TS (EE TS) (Luoto et al. 2019). Both use the Weighted Averaging-Partial Least Squares transfer function (WA-PLS).The dataset incorporates the composite depth and age [BP] for the sample midpoint, as well as for both training sets, respectively, the chironomid-inferred mean July air temperature, the standard error and the squared chi-square distance between the fossil sample and its closest modern analogue in the respective training set.
Keyword(s):
chironomid-inferred temperature reconstructions; Lake Gościąż; microfacies analyses; Poland; varve chronology; δ13Corg; δ18Ocarb
Related to:
Bonk, Alicja; Müller, Daniela; Ramisch, Arne; Kramkowski, Mateusz A; Noryśkiewicz, Agnieszka M; Sekudewicz, Ilona; Gąsiorowski, Michał; Luberda-Durnaś, Katarzyna; Słowiński, Michał; Schwab, Markus J; Tjallingii, Rik; Brauer, Achim; Błaszkiewicz, Mirosław (2020): Pollen record of core GOS18 from Lake Gościąż. PANGAEA, https://doi.org/10.1594/PANGAEA.924200
Bonk, Alicja; Müller, Daniela; Ramisch, Arne; Kramkowski, Mateusz A; Noryśkiewicz, Agnieszka M; Sekudewicz, Ilona; Gąsiorowski, Michał; Luberda-Durnaś, Katarzyna; Słowiński, Michał; Schwab, Markus J; Tjallingii, Rik; Brauer, Achim; Błaszkiewicz, Mirosław (2020): Varve chronology of core GOS18 from Lake Gościąż. PANGAEA, https://doi.org/10.1594/PANGAEA.924198
Bonk, Alicja; Müller, Daniela; Ramisch, Arne; Kramkowski, Mateusz A; Noryśkiewicz, Agnieszka M; Sekudewicz, Ilona; Gąsiorowski, Michał; Luberda-Durnaś, Katarzyna; Słowiński, Michał; Schwab, Markus J; Tjallingii, Rik; Brauer, Achim; Błaszkiewicz, Mirosław (2020): Varve thickness of core GOS18 from Lake Gościąż. PANGAEA, https://doi.org/10.1594/PANGAEA.924199
Müller, Daniela; Tjallingii, Rik; Płóciennik, Mateusz; Luoto, Tomi P; Kotrys, Bartosz; Plessen, Birgit; Ramisch, Arne; Schwab, Markus J; Błaszkiewicz, Mirosław; Słowiński, Michał; Brauer, Achim (2020): New insights into lake responses to rapid climate change: The Younger Dryas in Lake Gościąż, central Poland. Boreas, https://doi.org/10.1111/bor.12499
Coverage:
Latitude: 52.583022 * Longitude: 19.339946
Minimum Elevation: 64.3 m * Maximum Elevation: 64.3 m
Event(s):
GOS18_composite * Latitude: 52.583022 * Longitude: 19.339946 * Elevation: 64.3 m * Recovery: 1897 cm * Location: Lake Gościąż, Poland * Method/Device: Piston corer, UWITEC (PCUWI) * Comment: lake water depth 22 m; lake surface area 41.7 ha, sampling done in 2015 and 2018
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
1 Depth, compositeDepth compmcdMüller, DanielaSample midpoint
2 AGEAgeka BPMüller, DanielaGeocode – Sample midpoint
3 Temperature, air, JulyT air (7)°CMüller, DanielaSwiss-Norwegian-Polish Training Set (SNP TS) (Kotrys et al. 2020)SNP WAPLS_C2 (chironomid-inferred mean July air temperature)
4 Temperature, air, standard errorTTT std err±Müller, DanielaSwiss-Norwegian-Polish Training Set (SNP TS) (Kotrys et al. 2020)SNP eSEP_WAPLS_C2
5 Minimum dissimilarity coefficientMinDCMüller, DanielaModern analogue technique (MAT)SNP MinDC = is the squared chi-square distance between the fossil sample and its closest modern analogue in the respective training set used for temperature reconstruction.
6 Temperature, air, JulyT air (7)°CMüller, DanielaEast European Training Set (EE TS) (Luoto et al. 2019)EE WAPLS_C2_X (chironomid-inferred mean July air temperature)
7 Temperature, air, standard errorTTT std err±Müller, DanielaEast European Training Set (EE TS) (Luoto et al. 2019)EE eSEP_WAPLS_C2
8 Minimum dissimilarity coefficientMinDCMüller, DanielaModern analogue technique (MAT)EE MinDC = is the squared chi-square distance between the fossil sample and its closest modern analogue in the respective training set used for temperature reconstruction.
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Size:
658 data points

Data

Download dataset as tab-delimited text — use the following character encoding:

1 
Depth comp [mcd]
(Sample midpoint)		2 
Age [ka BP]
(Sample midpoint)		3 
T air (7) [°C]
(SNP WAPLS_C2 (chironomid-infe...)		4 
TTT std err [±]
(SNP eSEP_WAPLS_C2, Swiss-Norw...)		5 
MinDC
(SNP MinDC = is the squared ch...)		6 
T air (7) [°C]
(EE WAPLS_C2_X (chironomid-inf...)		7 
TTT std err [±]
(EE eSEP_WAPLS_C2, East Europe...)		8 
MinDC
(EE MinDC = is the squared chi...)
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