Sanchini, Andrea (2020): Age and water temperature reconstruction of varved sediments from Lake Łazduny, NE Poland - Seppä [dataset]. University of Bern, PANGAEA, https://doi.org/10.1594/PANGAEA.914840, 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 | CTD, Sea-Bird SBE 911plus |
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Size:
159 data points
Data
| 1 Age [ka BP] | 2 Temp [°C] |
|---|---|
| 0.030 | 5.877370 |
| 0.036 | 5.488790 |
| 0.043 | 5.443920 |
| 0.051 | 5.819520 |
| 0.059 | 5.188370 |
| 0.069 | 5.679660 |
| 0.080 | 5.886490 |
| 0.091 | 5.590730 |
| 0.104 | 4.906200 |
| 0.117 | 4.435760 |
| 0.132 | 6.695190 |
| 0.147 | 5.539040 |
| 0.164 | 5.646240 |
| 0.181 | 5.314380 |
| 0.199 | 5.978020 |
| 0.219 | 6.230490 |
| 0.239 | 5.841390 |
| 0.260 | 5.804620 |
| 0.282 | 6.206360 |
| 0.305 | 5.456420 |
| 0.329 | 5.873930 |
| 0.354 | 6.426540 |
| 0.380 | 5.683200 |
| 0.407 | 6.177550 |
| 0.435 | 5.735600 |
| 0.464 | 6.180090 |
| 0.494 | 5.808310 |
| 0.525 | 6.202900 |
| 0.557 | 6.204220 |
| 0.589 | 6.323910 |
| 0.623 | 6.340580 |
| 0.658 | 6.979210 |
| 0.693 | 6.361510 |
| 0.730 | 6.337700 |
| 0.767 | 6.454310 |
| 0.806 | 5.859600 |
| 0.845 | 6.885270 |
| 0.886 | 6.791460 |
| 0.927 | 5.874190 |
| 0.969 | 6.924420 |
| 1.013 | 6.179890 |
| 1.057 | 6.523570 |
| 1.102 | 6.112780 |
| 1.148 | 6.150160 |
| 1.195 | 6.431790 |
| 1.243 | 6.137080 |
| 1.292 | 6.166550 |
| 1.342 | 6.369610 |
| 1.393 | 5.746920 |
| 1.445 | 6.210950 |
| 1.498 | 6.063430 |
| 1.552 | 6.128350 |
| 1.607 | 5.995000 |
| 1.663 | 6.375150 |
| 1.719 | 6.421950 |
| 1.777 | 6.685180 |
| 1.836 | 6.190840 |
| 1.895 | 5.268530 |
| 1.956 | 6.034820 |
| 2.017 | 6.486870 |
| 2.080 | 5.311010 |
| 2.143 | 6.088700 |
| 2.208 | 5.792260 |
| 2.273 | 6.249720 |
| 2.339 | 5.612690 |
| 2.407 | 5.192610 |
| 2.475 | 5.566290 |
| 2.544 | 5.642200 |
| 2.614 | 7.375180 |
| 2.685 | 6.674670 |
| 2.721 | 7.107790 |
| 2.757 | 6.245010 |
| 2.830 | 6.699240 |
| 2.904 | 6.434860 |
| 2.979 | 7.399810 |
| 3.055 | 7.567100 |
| 3.132 | 6.832560 |
| 3.210 | 7.321680 |
| 3.289 | 7.403850 |
| 3.369 | 7.564930 |
| 3.449 | 8.194300 |
| 3.531 | 8.378390 |
| 3.614 | 7.931030 |
| 3.697 | 8.573930 |
| 3.782 | 7.962290 |
| 3.867 | 7.560900 |
| 3.954 | 7.912740 |
| 4.041 | 8.034180 |
| 4.130 | 8.497360 |
| 4.219 | 7.897470 |
| 4.309 | 8.318380 |
| 4.401 | 8.094280 |
| 4.493 | 8.491150 |
| 4.586 | 8.326050 |
| 4.680 | 8.067080 |
| 4.775 | 8.031700 |
| 4.871 | 8.023970 |
| 4.968 | 7.663750 |
| 5.066 | 8.604490 |
| 5.165 | 8.608990 |
| 5.265 | 8.848760 |
| 5.366 | 8.469810 |
| 5.468 | 8.487070 |
| 5.571 | 7.778490 |
| 5.675 | 9.277550 |
| 5.779 | 8.801110 |
| 5.885 | 8.105860 |
| 5.992 | 8.443250 |
| 6.099 | 9.375370 |
| 6.208 | 9.208090 |
| 6.317 | 9.772250 |
| 6.428 | 8.688040 |
| 6.539 | 8.523640 |
| 6.652 | 9.024770 |
| 6.765 | 9.084600 |
| 6.879 | 8.465280 |
| 6.995 | 8.846110 |
| 7.111 | 9.299730 |
| 7.228 | 8.803260 |
| 7.346 | 8.016580 |
| 7.465 | 8.546040 |
| 7.585 | 7.996440 |
| 7.706 | 8.919070 |
| 7.828 | 7.837020 |
| 7.951 | 8.613010 |
| 8.075 | 7.890960 |
| 8.106 | 7.531000 |
| 8.138 | 7.561540 |
| 8.169 | 7.320090 |
| 8.200 | 5.963300 |
| 8.232 | 6.143100 |
| 8.263 | 6.109290 |
| 8.294 | 6.525930 |
| 8.326 | 7.005920 |
| 8.453 | 7.037840 |
| 8.581 | 7.513130 |
| 8.709 | 5.950780 |
| 8.839 | 6.001590 |
| 8.970 | 6.027860 |
| 9.101 | 5.111470 |
| 9.234 | 5.069090 |
| 9.367 | 4.678310 |
| 9.502 | 3.302590 |
| 9.637 | 3.908590 |
| 9.774 | 3.311330 |
| 9.911 | 3.623880 |
| 10.049 | 3.112180 |
| 10.189 | 3.719230 |
| 10.329 | 0.913690 |
| 10.470 | 2.893810 |
| 10.612 | 1.671570 |
| 10.755 | 2.083130 |
| 10.899 | 0.344645 |
| 11.044 | 1.766670 |
| 11.190 | 1.683900 |
| 11.337 | 1.811160 |
| 11.485 | 1.184650 |
| 11.634 | 1.426480 |
| 11.784 | 2.569840 |