Schoening, Timm (2017): Results of nodule detection along AUV track SO239_28-1_AUV3 (Abyss_169) during SONNE cruise SO239 [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.879990, In: Schoening, T (2017): Results of nodule detection along AUV tracks during SONNE cruises SO239 and SO242/1 [dataset publication series]. PANGAEA, https://doi.org/10.1594/PANGAEA.883838
Always quote citation above when using data! You can download the citation in several formats below.
Abstract:
Images were acquired by the DeepSurvey Camera on board GEOMAR's AUV Abyss. Nodules were delineated by the CoMoNoD algorithm [see related to references]. Result files are computed per AUV dive. Nodule detections below 5cm^2 are neglected as are detections above 707cm^2. Abundance statistics are computed per m^2 and gridded per m^2 as well. For overlapping images, max-pooling has been applied to select the values reported in the result files. Pixel values in the rendered maps correspond to the units reported in the ASCI files (median-nodule-size: cm^2, nodule-number: m^-2, percent-coverage: %, sorting, skewness and pixel-contributions are unit-free).
Related to:
Greinert, Jens; Schoening, Timm; Köser, Kevin; Rothenbeck, Marcel (2017): Seafloor images and raw context data along AUV track SO239_28-1_AUV3 (Abyss_169) during SONNE cruise SO239. PANGAEA, https://doi.org/10.1594/PANGAEA.882183
Peukert, Anne; Schoening, Timm; Alevizos, Evangelos; Köser, Kevin; Kwasnitschka, Tom; Greinert, Jens (2018): Understanding Mn-nodule distribution and evaluation of related deep-sea mining impacts using AUV-based hydroacoustic and optical data. Biogeosciences, 15(8), 2525-2549, https://doi.org/10.5194/bg-15-2525-2018
Schoening, Timm (2017): Source code for the Compact Morphology-based Nodule Delineation (CoMoNoD) algorithm. PANGAEA, https://doi.org/10.1594/PANGAEA.875070
Schoening, Timm; Jones, Daniel O B; Greinert, Jens (2017): Compact-Morphology-based poly-metallic Nodule Delineation. Scientific Reports, 7(1), https://doi.org/10.1038/s41598-017-13335-x
Further details:
Project(s):
JPI Oceans - Ecological Aspects of Deep-Sea Mining (JPIO-MiningImpact)
Coverage:
Median Latitude: 11.857310 * Median Longitude: -117.011910 * South-bound Latitude: 11.849702 * West-bound Longitude: -117.014623 * North-bound Latitude: 11.863966 * East-bound Longitude: -117.008750
Date/Time Start: 2015-03-23T10:51:00 * Date/Time End: 2015-03-24T07:41:00
Minimum Elevation: -4122.9 m * Maximum Elevation: -4121.0 m
Event(s):
SO239_28-1 (SO239_28-1_AUV3) * Latitude Start: 11.862000 * Longitude Start: -117.032000 * Latitude End: 11.860830 * Longitude End: -117.042830 * Date/Time Start: 2015-03-23T10:51:00 * Date/Time End: 2015-03-24T07:41:00 * Elevation Start: -4121.0 m * Elevation End: -4122.9 m * Location: German prospective mining area (German PA) * Campaign: SO239 * Basis: Sonne_2 * Method/Device: Autonomous underwater vehicle (AUV) * Comment: Recovery: SO239_30-1
Parameter(s):
| # | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
|---|---|---|---|---|---|---|
| 1 | LATITUDE | Latitude | Schoening, Timm | Geocode | ||
| 2 | LONGITUDE | Longitude | Schoening, Timm | Geocode | ||
| 3 | ELEVATION | Elevation | m a.s.l. | Schoening, Timm | Geocode | |
| 4 | DEPTH, sediment/rock | Depth sed | m | Schoening, Timm | Geocode | |
| 5 | Area | Area | m2 | Schoening, Timm | ||
| 6 | Number of photos | Photo | # | Schoening, Timm | contributing photos | |
| 7 | Nodules | Nodules | % | Schoening, Timm | seafloor coverage by nodules | |
| 8 | Nodules | Nodules | # | Schoening, Timm | ||
| 9 | Nodules, size | Nodules size | cm2 | Schoening, Timm | median nodule size | |
| 10 | Standard deviation | Std dev | ± | Schoening, Timm | size of nodules | |
| 11 | Sorting | Sort | Schoening, Timm | |||
| 12 | Skewness | Skew | Schoening, Timm |
License:
Creative Commons Attribution-NonCommercial 3.0 Unported (CC-BY-NC-3.0)
Size:
4008888 data points
Download Data
View dataset as HTML (shows only first 2000 rows)