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PANGAEA.
Data Publisher for Earth & Environmental Science

Nixdorf, Erik; Hannemann, Marco; Kreck, Manuel; Schoßland, Andreas (2021): Hydrological records in 5 min resolution of tributaries in the Mueglitz River Basin, Ostbach, Level 1 [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.927723, In: Nixdorf, E et al. (2021): Hydrological records in 5 min resolution of tributaries in the Mueglitz River Basin (Germany) [dataset bundled publication]. PANGAEA, https://doi.org/10.1594/PANGAEA.927741

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Keyword(s):
flash floods; hydrological data; Saxony; water balance dynamics; water quality
Project(s):
Modular Observation Solutions for Earth Systems (MOSES)
Coverage:
Latitude: 50.823700 * Longitude: 13.824300
Date/Time Start: 2019-04-24T08:25:00 * Date/Time End: 2020-10-01T08:25:00
Event(s):
Ostbach * Latitude: 50.823700 * Longitude: 13.824300 * Date/Time Start: 2019-04-23T00:00:00 * Date/Time End: 2021-06-30T00:00:00 * Sensor URI: https://hdl.handle.net/10013/sensor.83c5e1a7-8b4b-43c0-8161-8b956892a2ce * Location: Mueglitz River, Germany * Method/Device: LTC Level Logger (LTC)
Comment:
Time series are split into 3 different product levels to consider the processing of raw data. Level 1 includes the stacked and cleaned time series of water temperature, absolute pressure and electric conductivity for each monitoring location. Level 2 adds a data column "level", which describes the time-dependent water level of each stream at the logger location. Level 3 provides time series of surface water discharge derived from level 2 data by applying the Manning equation.
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
1 DATE/TIMEDate/TimeNixdorf, ErikGeocode
2 PressurePressmH2ONixdorf, Erik
3 Temperature, waterTemp°CNixdorf, Erik
4 Conductivity, electricalCond electrµS/cmNixdorf, Erik
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Size:
416829 data points

Data

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

1 
Date/Time		2 
Press [mH2O]		3 
Temp [°C]		4 
Cond electr [µS/cm]
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2019-04-30T22:55:009.99805.90092.0
2019-04-30T23:00:009.99405.90092.0
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2019-04-30T23:20:009.99805.80092.0
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2019-04-30T23:55:009.99405.60092.0
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2019-05-01T00:15:009.99405.60091.0
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2019-05-01T05:10:009.96606.20094.0
2019-05-01T05:15:009.96806.20094.0
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2019-05-01T06:10:009.96407.00096.0
2019-05-01T06:15:009.96807.00096.0
2019-05-01T06:20:009.96407.00096.0
2019-05-01T06:25:009.97007.10097.0
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2019-05-01T06:35:009.97007.10097.0
2019-05-01T06:40:009.96007.20097.0
2019-05-01T06:45:009.97607.30097.0
2019-05-01T06:50:009.96607.20097.0
2019-05-01T06:55:009.96407.20097.0
2019-05-01T07:00:009.96407.30098.0

Only the first 2000 rows were shown. To view the complete dataset, download it as tab-delimited text. You can still view the full matrix in your browser, but be aware that this may crash the browser due to the huge size.