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

Scheidweiler, David; Mendoza-Lera, Clara; Mutz, Michael; Risse-Buhl, Ute (2020): Metabolism [dataset]. University of Koblenz-Landau, Germany, PANGAEA, https://doi.org/10.1594/PANGAEA.921535, In: Scheidweiler, D et al. (2020): Metabolism, nutrient dynamics and community composition in sandy sediments - A microcosms experiment [dataset bundled publication]. PANGAEA, https://doi.org/10.1594/PANGAEA.921544

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

RIS CitationBibTeX CitationShow MapGoogle Earth

Keyword(s):
Low flow; microbial community; ripples; sediment transport; streambed metabolism
Related to:
Scheidweiler, David; Mendoza-Lera, Clara; Mutz, Michael; Risse-Buhl, Ute (2021): Overlooked implication of sediment transport at low flow: Migrating ripples modulate streambed photo‐ and heterotrophic microbial activity. Water Resources Research, 57, e2020WR027988, https://doi.org/10.1029/2020WR027988
Coverage:
Latitude: 52.219028 * Longitude: 14.041111
Date/Time Start: 2014-11-17T00:00:00 * Date/Time End: 2014-11-17T00:00:00
Minimum Elevation: 45.0 m * Maximum Elevation: 45.0 m
Event(s):
Seebach * Latitude: 52.219028 * Longitude: 14.041111 * Date/Time: 2014-11-17T00:00:00 * Elevation: 45.0 m * Location: Seebach stream, Brandenburg, Germany * Method/Device: Laboratory experiment * Comment: Collection site of sediment sample.
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
1TreatmentTreatRisse-Buhl, Ute
2PhasePhaseRisse-Buhl, Ute
3Time in daysTimedaysRisse-Buhl, Ute
4IdentificationIDRisse-Buhl, Ute
5Respiration rate, oxygen, per massResp O2µg/g/hRisse-Buhl, UteO2-meter (Oxy10) with optode spots (PreSens)Community respiration rate, per sediment dry mass
6Net community production, oxygen, per unit sediment dry massNCP O2 sed dmµg/g/hRisse-Buhl, UteO2-meter (Oxy10) with optode spots (PreSens)
Size:
674 data points

Download Data

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

View dataset as HTML