Sanchini, Andrea (2020): Age and water temperature reconstruction of varved sediments from Lake Łazduny, NE Poland - Heikkilä [dataset]. University of Bern, PANGAEA, https://doi.org/10.1594/PANGAEA.914839, In: Sanchini, A (2020): A Holocene high-resolution record of aquatic productivity, seasonal anoxia and meromixis from varved sediments of Lake Łazduny, NE Poland: insight from a novel multi-proxy approach [dataset publication series]. University of Bern, PANGAEA, https://doi.org/10.1594/PANGAEA.914847
Always quote citation above when using data! You can download the citation in several formats below.
Published: 2020-04-16 • DOI registered: 2021-03-30
Funding:
Swiss National Science Foundation (SNF), grant/award no. 172586: Exploring VNIR/SWIR Hyperspectral Imaging of Varved Lake Sediments: Methods and Applications in Paleoclimatology and Paleoecology
Coverage:
Latitude: 53.855083 * Longitude: 21.951972
Date/Time Start: 2017-02-18T00:00:00 * Date/Time End: 2017-08-31T00:00:00
Event(s):
Parameter(s):
| # | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
|---|---|---|---|---|---|---|
| 1 | AGE | Age | ka BP | Sanchini, Andrea | Geocode | |
| 2 | Temperature, water | Temp | °C | Sanchini, Andrea |
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Size:
90 data points
Data
| 1 Age [ka BP] | 2 Temp [°C] |
|---|---|
| 0.000 | 5.6731 |
| 0.082 | 5.3286 |
| 0.163 | 4.9354 |
| 0.245 | 5.7223 |
| 0.326 | 5.5288 |
| 0.408 | 6.0363 |
| 0.489 | 5.7241 |
| 0.591 | 5.7949 |
| 0.712 | 5.1258 |
| 0.833 | 6.7775 |
| 0.954 | 5.6230 |
| 1.074 | 5.8484 |
| 1.195 | 5.4932 |
| 1.316 | 5.9080 |
| 1.437 | 6.6405 |
| 1.558 | 5.1382 |
| 1.679 | 5.3242 |
| 1.818 | 6.5147 |
| 1.975 | 6.6921 |
| 2.132 | 5.5421 |
| 2.289 | 5.8573 |
| 2.446 | 5.4903 |
| 2.603 | 6.1917 |
| 2.760 | 5.7308 |
| 2.917 | 5.6871 |
| 3.074 | 6.3037 |
| 3.231 | 4.9599 |
| 3.353 | 5.9142 |
| 3.439 | 6.7821 |
| 3.525 | 6.8244 |
| 3.611 | 6.6876 |
| 3.697 | 6.2722 |
| 3.783 | 6.2037 |
| 3.869 | 5.9568 |
| 3.955 | 7.1383 |
| 4.041 | 6.5237 |
| 4.127 | 6.9827 |
| 4.209 | 6.3015 |
| 4.287 | 6.8856 |
| 4.365 | 7.4092 |
| 4.443 | 7.6532 |
| 4.521 | 6.4170 |
| 4.599 | 8.7411 |
| 4.677 | 8.4251 |
| 4.755 | 8.1640 |
| 4.833 | 7.6421 |
| 4.911 | 7.8151 |
| 5.010 | 8.1840 |
| 5.131 | 7.6106 |
| 5.252 | 8.4246 |
| 5.373 | 8.7407 |
| 5.494 | 8.1643 |
| 5.615 | 8.3995 |
| 5.736 | 8.7504 |
| 5.857 | 8.2958 |
| 5.978 | 7.9158 |
| 6.099 | 7.7868 |
| 6.214 | 8.6604 |
| 6.322 | 8.7336 |
| 6.430 | 9.1609 |
| 6.538 | 9.4347 |
| 6.646 | 8.6388 |
| 6.754 | 8.0716 |
| 6.862 | 7.7119 |
| 6.970 | 8.7887 |
| 7.078 | 8.8130 |
| 7.186 | 8.7248 |
| 7.279 | 8.1993 |
| 7.357 | 8.5011 |
| 7.435 | 7.9543 |
| 7.591 | 7.7868 |
| 7.669 | 6.8645 |
| 7.747 | 7.2620 |
| 7.825 | 7.7162 |
| 7.903 | 8.6487 |
| 7.981 | 7.5017 |
| 8.044 | 7.5206 |
| 8.093 | 7.8134 |
| 8.142 | 7.7410 |
| 8.191 | 6.8981 |
| 8.240 | 6.8924 |
| 8.289 | 7.5974 |
| 8.338 | 7.6537 |
| 8.387 | 7.5644 |
| 8.436 | 6.6990 |
| 8.485 | 4.8867 |
| 8.569 | 4.9287 |
| 8.687 | 5.3611 |
| 8.805 | 6.3647 |
| 8.923 | 6.5208 |