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

Purser, Autun; Ramalho, Sofia; Hoge, Ulrich (2022): Seafloor images collected during OFOBS profile HK19_45 during 'HACON expedition' with the RV Kronprins Haakon [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.943357, In: Purser, A et al. (2022): Seafloor images collected during the 'HACON expedition' with the RV Kronprins Haakon (cruise no. 2019708) (HK19) to the AURORA seamount, high Arctic, 19/09/2019 - 16/10/2019 [dataset publication series]. PANGAEA, https://doi.org/10.1594/PANGAEA.943364

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

RIS CitationBibTeX CitationShow MapGoogle Earth

Keyword(s):
AURORA seamount; gakkel ridge; High Arctic; hydrothermal vents; OFOBS; seabed photograph; under ice
Coverage:
Median Latitude: 82.897014 * Median Longitude: -6.258912 * South-bound Latitude: 82.894221 * West-bound Longitude: -6.300457 * North-bound Latitude: 82.898427 * East-bound Longitude: -6.237879
Date/Time Start: 2019-10-07T12:05:56 * Date/Time End: 2019-10-07T16:27:00
Minimum DEPTH, water: 3886.6 m * Maximum DEPTH, water: 3998.7 m
Event(s):
HACON19-45-OFOBS-08 (HK19_45) * Latitude Start: 82.894100 * Longitude Start: -6.300700 * Latitude End: 82.898123 * Longitude End: -6.237879 * Date/Time Start: 2019-10-07T13:25:00 * Date/Time End: 2019-10-07T16:27:00 * Elevation Start: -3890.0 m * Elevation End: -4000.0 m * Location: Aurora Seamount * Campaign: Hacon (2019708, HK19) * Basis: Kronprins Haakon * Method/Device: Ocean Floor Observation and Bathymetry System (OFOBS)
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
1ImageIMAGEPurser, Autun
2DATE/TIMEDate/TimePurser, AutunGeocode
3LONGITUDELongitudePurser, AutunGeocode
4LATITUDELatitudePurser, AutunGeocode
5DEPTH, waterDepth watermPurser, AutunGeocode
Status:
Curation Level: Basic curation (CurationLevelB)
Size:
768 data points

Download Data

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

View dataset as HTML