Dietze, Elisabeth; Słowiński, Michał; Schreuder, Laura T; Ott, Florian; Pieńczewska, Anna; Hopmans, Ellen C (2019): Processed charcoal records from sediment core JC11-K5, Lake Czechowskie, N Poland [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.905556, In supplement to: Dietze, Elisabeth; Brykała, Dariusz; Schreuder, Laura T; Jażdżewski, Krzysztof; Blarquez, Olivier; Brauer, Achim; Dietze, Michael; Obremska, Milena; Ott, Florian; Pieńczewska, Anna; Schouten, Stefan; Hopmans, Ellen C; Słowiński, Michał (2019): Human-induced fire regime shifts during 19th century industrialization: A robust fire regime reconstruction using northern Polish lake sediments. PLoS ONE, 14(9), e0222011, https://doi.org/10.1371/journal.pone.0222011
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Abstract:
Processed charcoal records based on the raw data of sediment core JC11-K5 of Lake Czechowskie, N Poland using a robust Monte Carlo based approach that includes age and proxy measurement uncertainties in equally spaced time windows. For details and code see Dietze et al. (2019).
Related to:
Dietze, Elisabeth; Słowiński, Michał; Schreuder, Laura T; Ott, Florian; Pieńczewska, Anna; Hopmans, Ellen C (2019): Age model of sediment core JC11-K5, Lake Czechowskie, N Poland [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.905554
Dietze, Elisabeth; Słowiński, Michał; Schreuder, Laura T; Ott, Florian; Pieńczewska, Anna; Hopmans, Ellen C (2019): Charcoal raw counts and monosaccharide anhydrides in sediment core JC11-K5, Lake Czechowskie, N Poland [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.905561
Project(s):
Coverage:
Latitude: 53.874170 * Longitude: 18.236670
Event(s):
Parameter(s):
# | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
---|---|---|---|---|---|---|
1 | AGE | Age | ka BP | Dietze, Elisabeth | Geocode | |
2 | Age | Age | a AD/CE | Dietze, Elisabeth | lower | |
3 | Age | Age | a AD/CE | Dietze, Elisabeth | upper | |
4 | Charcoal, flux | Charcoal flux | #/cm2/a | Dietze, Elisabeth | Monte Carlo based quartile ranges | 150-300 µm, q_25 |
5 | Charcoal, flux | Charcoal flux | #/cm2/a | Dietze, Elisabeth | Monte Carlo based quartile ranges | 150-300 µm, q_50 |
6 | Charcoal, flux | Charcoal flux | #/cm2/a | Dietze, Elisabeth | Monte Carlo based quartile ranges | 150-300 µm, q_75 |
7 | Charcoal, flux | Charcoal flux | #/cm2/a | Dietze, Elisabeth | Monte Carlo based quartile ranges | 300-500 µm, q_25 |
8 | Charcoal, flux | Charcoal flux | #/cm2/a | Dietze, Elisabeth | Monte Carlo based quartile ranges | 300-500 µm, q_50 |
9 | Charcoal, flux | Charcoal flux | #/cm2/a | Dietze, Elisabeth | Monte Carlo based quartile ranges | 300-500 µm, q_75 |
10 | Charcoal, flux | Charcoal flux | #/cm2/a | Dietze, Elisabeth | Monte Carlo based quartile ranges | >500 µm, q_25 |
11 | Charcoal, flux | Charcoal flux | #/cm2/a | Dietze, Elisabeth | Monte Carlo based quartile ranges | >500 µm, q_50 |
12 | Charcoal, flux | Charcoal flux | #/cm2/a | Dietze, Elisabeth | Monte Carlo based quartile ranges | >500 µm, q_75 |
13 | Charcoal, flux | Charcoal flux | #/cm2/a | Dietze, Elisabeth | Monte Carlo based quartile ranges | Sum, q_25 |
14 | Charcoal, flux | Charcoal flux | #/cm2/a | Dietze, Elisabeth | Monte Carlo based quartile ranges | Sum, q_50 |
15 | Charcoal, flux | Charcoal flux | #/cm2/a | Dietze, Elisabeth | Monte Carlo based quartile ranges | Sum, q_75 |
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Size:
1176 data points