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Data Publisher for Earth & Environmental Science

Meier, Daniela; Thölen, Claudia; Hillebrand, Helmut; Kleyer, Michael; Lõhmus, Kertu; Zielinski, Oliver (2020): Continuous water level observations at station BEFmate_S10upp (2019-02) [dataset]. Institute for Chemistry and Biology of the Marine Environment, Carl von Ossietzky University Oldenburg, Germany, PANGAEA, https://doi.org/10.1594/PANGAEA.920537, In: Meier, D et al. (2020): Continuous water level observations within DynaCom experimental islands and saltmarsh enclosed plots at different elevation levels (2019), Spiekeroog, Germany, 2019-01 to 2019-12 [dataset publication series]. Institute for Chemistry and Biology of the Marine Environment, Carl von Ossietzky University Oldenburg, Germany, PANGAEA, https://doi.org/10.1594/PANGAEA.920175

Always quote citation above when using data! You can download the citation in several formats below.

Published: 2020-07-17DOI registered: 2020-09-01

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Keyword(s):
BEFmate; biodiversity - ecosystem functioning; DynaCom; experimental islands; groundwater level; Metacommunity; salt marsh; Spiekeroog; water level
Funding:
German Research Foundation (DFG), grant/award no. 379417748: FOR 2716: Spatial community ecology in highly dynamic landscapes: from island biogeography to metaecosystems
Ministry for Science and Culture of Lower Saxony (MWK), grant/award no. VWZN2930: Biodiversity – Ecosystem Functioning across marine and terrestrial ecosystems
Coverage:
Latitude: 53.762633 * Longitude: 7.722692
Date/Time Start: 2019-02-26T11:30:00 * Date/Time End: 2019-02-28T23:50:00
Minimum Elevation: 2.0 m * Maximum Elevation: 2.0 m
Event(s):
BEFmate_S10upp * Latitude: 53.762633 * Longitude: 7.722692 * Elevation: 2.0 m * Location: off Spiekeroog, German Bight, North Sea * Method/Device: Multiple investigations (MULT) * Comment: Upper saltmarsh zone, saltmarsh plot 10
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
DATE/TIMEDate/TimeZielinski, OliverGeocode – UTC
Water levelWLmZielinski, OliverGroundwater level
Size:
363 data points

Data

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


Date/Time

WL [m]
2019-02-26T11:301.27
2019-02-26T11:401.27
2019-02-26T11:501.27
2019-02-26T12:001.27
2019-02-26T12:101.27
2019-02-26T12:201.27
2019-02-26T12:301.27
2019-02-26T12:401.27
2019-02-26T12:501.27
2019-02-26T13:001.27
2019-02-26T13:101.27
2019-02-26T13:201.27
2019-02-26T13:301.27
2019-02-26T13:401.27
2019-02-26T13:501.27
2019-02-26T14:001.27
2019-02-26T14:101.27
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2019-02-26T15:001.27
2019-02-26T15:101.28
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2019-02-26T15:301.29
2019-02-26T15:401.30
2019-02-26T15:501.31
2019-02-26T16:001.32
2019-02-26T16:101.33
2019-02-26T16:201.33
2019-02-26T16:301.33
2019-02-26T16:401.34
2019-02-26T16:501.33
2019-02-26T17:001.33
2019-02-26T17:101.33
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2019-02-26T17:301.32
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2019-02-26T19:001.28
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2019-02-27T04:301.34
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