Schiebel, Ralf (2002): Pteropoda counts from multinet M32/3_MSN956 [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.71340
Always quote citation above when using data! You can download the citation in several formats below.
Related to:
Schiebel, Ralf (2002): Planktic foraminiferal sedimentation and the marine calcite budget. Global Biogeochemical Cycles, 16(4), 1065, https://doi.org/10.1029/2001GB001459
Project(s):
Joint Global Ocean Flux Study (JGOFS)
Coverage:
Latitude: 2.991000 * Longitude: 64.996933
Date/Time Start: 1995-05-30T10:19:00 * Date/Time End: 1995-05-30T10:19:00
Minimum DEPTH, water: 10.0 m * Maximum DEPTH, water: 90.0 m
Event(s):
M32/3_MSN956 (3272) * Latitude: 2.991000 * Longitude: 64.996933 * Date/Time: 1995-05-30T10:19:00 * Elevation: -2868.0 m * Location: northern Indian Ocean * Campaign: M32/3 * Basis: Meteor (1986) * Method/Device: Multiple opening/closing net (MSN)
Parameter(s):
# | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
---|---|---|---|---|---|---|
1 | DEPTH, water | Depth water | m | Geocode | ||
2 | Depth, top/min | Depth top | m | Schiebel, Ralf | ||
3 | Depth, bottom/max | Depth bot | m | Schiebel, Ralf | ||
4 | Sample comment | Sample comment | Schiebel, Ralf | test size in µm | ||
5 | Limacina inflata | L. inflata | # | Schiebel, Ralf | Counting, pteropods | |
6 | Limacina sp. | Limacina sp. | # | Schiebel, Ralf | Counting, pteropods | |
7 | Creseis sp. | Creseis sp. | # | Schiebel, Ralf | Counting, pteropods | |
8 | Clio convexa | C. convexa | # | Schiebel, Ralf | Counting, pteropods | |
9 | Clio pyramidata | C. pyramidata | # | Schiebel, Ralf | Counting, pteropods | |
10 | Clio sp. | Clio sp. | # | Schiebel, Ralf | Counting, pteropods | |
11 | Cavolina sp. | Cavolina sp. | # | Schiebel, Ralf | Counting, pteropods | |
12 | Diacria sp. | Diacria sp. | # | Schiebel, Ralf | Counting, pteropods | |
13 | Pteropoda sp. | Pteropoda sp. | # | Schiebel, Ralf | Counting, pteropods |
License:
Creative Commons Attribution 3.0 Unported (CC-BY-3.0)
Size:
360 data points
Data
1 Depth water [m] | 2 Depth top [m] | 3 Depth bot [m] | 4 Sample comment | 5 L. inflata [#] | 6 Limacina sp. [#] | 7 Creseis sp. [#] | 8 C. convexa [#] | 9 C. pyramidata [#] | 10 Clio sp. [#] | 11 Cavolina sp. [#] | 12 Diacria sp. [#] | 13 Pteropoda sp. [#] |
---|---|---|---|---|---|---|---|---|---|---|---|---|
10.0 | 0.000 | 20.000 | 100-125 | 10 | 1 | 14 | 0 | 0 | 0 | 0 | 0 | 0 |
10.0 | 0.000 | 20.000 | 125-150 | 13 | 1 | 10 | 0 | 0 | 0 | 0 | 0 | 0 |
10.0 | 0.000 | 20.000 | 150-200 | 48 | 14 | 1 | 0 | 0 | 0 | 0 | 0 | 0 |
10.0 | 0.000 | 20.000 | 200-250 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
10.0 | 0.000 | 20.000 | 250-315 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
10.0 | 0.000 | 20.000 | >315 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
30.0 | 20.000 | 40.000 | 100-125 | 9 | 1 | 12 | 0 | 0 | 0 | 0 | 0 | 0 |
30.0 | 20.000 | 40.000 | 125-150 | 8 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 |
30.0 | 20.000 | 40.000 | 150-200 | 10 | 11 | 4 | 0 | 0 | 0 | 0 | 0 | 0 |
30.0 | 20.000 | 40.000 | 200-250 | 3 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 0 |
30.0 | 20.000 | 40.000 | 250-315 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
30.0 | 20.000 | 40.000 | >315 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
50.0 | 40.000 | 60.000 | 100-125 | 0 | 61 | 8 | 0 | 0 | 0 | 0 | 0 | 5 |
50.0 | 40.000 | 60.000 | 125-150 | 0 | 15 | 4 | 0 | 0 | 0 | 0 | 0 | 1 |
50.0 | 40.000 | 60.000 | 150-200 | 20 | 5 | 3 | 0 | 0 | 0 | 0 | 0 | 3 |
50.0 | 40.000 | 60.000 | 200-250 | 4 | 11 | 2 | 0 | 0 | 0 | 0 | 0 | 1 |
50.0 | 40.000 | 60.000 | 250-315 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
50.0 | 40.000 | 60.000 | >315 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
70.0 | 60.000 | 80.000 | 100-125 | 24 | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
70.0 | 60.000 | 80.000 | 125-150 | 6 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
70.0 | 60.000 | 80.000 | 150-200 | 18 | 14 | 2 | 0 | 0 | 0 | 0 | 0 | 4 |
70.0 | 60.000 | 80.000 | 200-250 | 10 | 12 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
70.0 | 60.000 | 80.000 | 250-315 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
70.0 | 60.000 | 80.000 | >315 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
90.0 | 80.000 | 100.000 | 100-125 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 |
90.0 | 80.000 | 100.000 | 125-150 | 4 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 |
90.0 | 80.000 | 100.000 | 150-200 | 10 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 3 |
90.0 | 80.000 | 100.000 | 200-250 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 |
90.0 | 80.000 | 100.000 | 250-315 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
90.0 | 80.000 | 100.000 | >315 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |