Not logged in
PANGAEA.
Data Publisher for Earth & Environmental Science

Sanchini, Andrea (2020): Pigment index of varved sediments from Lake Łazduny, NE Poland [dataset]. University of Bern, PANGAEA, https://doi.org/10.1594/PANGAEA.914827, 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: 2020-04-16DOI registered: 2021-03-30

RIS CitationBibTeX Citation ShareShow MapGoogle Earth

Keyword(s):
anoxia; Aquatic productivity; High resolution record; Holocene; Poland
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
Minimum DEPTH, sediment/rock: 0.0050 m * Maximum DEPTH, sediment/rock: 6.4050 m
Event(s):
Laz-17 * Latitude: 53.855083 * Longitude: 21.951972 * Date/Time Start: 2017-02-18T00:00:00 * Date/Time End: 2017-08-31T00:00:00 * Location: Poland * Method/Device: Sediment corer (SEDCO)
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
Sample IDSample IDSanchini, Andrea
DEPTH, sediment/rockDepth sedmSanchini, AndreaGeocode – Composite depth
Carbon, organic/Carbon, totalC org/TCSanchini, Andrea
IndexIndexSanchini, AndreaChloroplast pigment index
Size:
99 data points

Data

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


Sample ID

Depth sed [m]

C org/TC

Index
10.00500.9430.139
20.20502.0000.105
30.40501.6710.102
40.60001.8430.123
50.80001.4980.070
61.00301.7660.071
71.20301.2820.102
81.40300.9080.099
91.60300.9910.085
101.80000.9620.105
112.00001.0270.103
122.20300.3740.168
132.40300.6900.156
142.60150.4610.174
152.80150.5730.131
163.00150.5050.118
173.20150.7060.124
183.40250.7430.079
193.60250.8790.086
203.80551.2130.069
214.00550.8940.063
224.20150.8800.075
234.40151.0230.062
244.60151.0410.069
254.80150.9690.074
265.00150.9970.069
275.19951.1510.081
285.39950.9980.083
295.59951.1560.069
305.80501.1490.054
316.00500.9940.049
326.20500.7890.067
336.40500.0000.000