Franco-Santos, Rita Melo; Auel, Holger; Boersma, Maarten; De Troch, Marleen; Meunier, Cédric Léo; Niehoff, Barbara (2018): Prosome lengths of Temora longicornis under different nutrient regimes [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.886025, In: Franco-Santos, RM et al. (2018): Vital rate measurements and carbon and nitrogen contents of Temora longicornis under different nutrient regimes [dataset publication series]. Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, PANGAEA, https://doi.org/10.1594/PANGAEA.886050
Always quote citation above when using data! You can download the citation in several formats below.
Related to:
Franco-Santos, Rita Melo; Auel, Holger; Boersma, Maarten; De Troch, Marleen; Meunier, Cédric Léo; Niehoff, Barbara (2018): Bioenergetics of the copepod Temora longicornis under different nutrient regimes. Journal of Plankton Research, 40(4), 420-435, https://doi.org/10.1093/plankt/fby016
Project(s):
Biological Oceanography @ AWI (AWI_BioOce)
Coverage:
Latitude: 54.188330 * Longitude: 7.900000
Date/Time Start: 2016-05-17T09:30:00 * Date/Time End: 2016-05-30T09:30:00
Minimum Elevation: -10.0 m * Maximum Elevation: -10.0 m
Event(s):
HelgolandRoads_temora_longicornis_2016 (Kabeltonne) * Latitude: 54.188330 * Longitude: 7.900000 * Date/Time Start: 2016-05-17T16:15:00 * Date/Time End: 2016-06-04T23:44:00 * Elevation: -10.0 m * DEIMS ID: deims.org * Location: German Bight, North Sea
Parameter(s):
| # | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
|---|---|---|---|---|---|---|
| 1 | Event label | Event | ||||
| 2 | DATE/TIME | Date/Time | Franco-Santos, Rita Melo | Geocode | ||
| 3 | Sea surface temperature | SST | °C | Franco-Santos, Rita Melo | ||
| 4 | Temora longicornis, female, prosome length | T. longicornis f pros l | mm | Franco-Santos, Rita Melo |
Change history:
2023-07-06T08:43:14 – Event label was replaced. New event contains more information.
License:
Creative Commons Attribution 3.0 Unported (CC-BY-3.0)
Size:
160 data points