Citation:

PANGAEA.778565, In supplement to: Zhabina, NN et al. (1983): Sulfur compounds in sediments of the Peru upwelling. Litologiya i Poleznyye Iskopaemyye (Lithology and Mineral Resources), 18(1), 101-120

Name: Sulfur speciation in bottom sediments from Site AKO26-60-1, Peru upwelling
Published: 1983
License: https://creativecommons.org/licenses/by/3.0/

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Project(s):

Archive of Ocean Data (ARCOD)

Coverage:

Latitude: -10.333317 * Longitude: -80.050000

Minimum DEPTH, sediment/rock: 0.050 m * Maximum DEPTH, sediment/rock: 1.450 m

Event(s):

AKO26-60-1GC * Latitude: -10.333333 * Longitude: -80.050000 * Elevation: -6200.0 m * Location: East Pacific * Method/Device: Gravity corer (GC)

AKO26-60-1GR * Latitude: -10.333300 * Longitude: -80.050000 * Elevation: -6200.0 m * Location: off Peru * Campaign: * Basis: Akademik Korolev * Method/Device: Grab (GRAB)

Comment:

>0 = traces; 0 = not found

Parameter(s):

#	Name	Short Name	Unit	Principal Investigator	Method/Device	Comment
1	Event label	Event
2	DEPTH, sediment/rock	Depth sed	m			Geocode
3	Depth, top/min	Depth top	m	Zhabina, Nina N
4	Depth, bottom/max	Depth bot	m	Zhabina, Nina N
5	Sediment type	Sediment		Zhabina, Nina N
6	Water content, wet mass	Water wm	%	Zhabina, Nina N	Calculated from weight loss after drying at 105°C
7	Oxidation reduction (RedOx) potential	Eh	mV	Zhabina, Nina N	Eh, Pt-electrode
8	Sulfur bound in sulfate	S in [SO4]2-	%	Zhabina, Nina N	Wet chemistry	of interstitial water
9	Sulfur bound in sulfate	S in [SO4]2-	%	Zhabina, Nina N	Wet chemistry	of dry sediment matter
10	Sulfur bound in sulfide	S (S2-)	%	Zhabina, Nina N	Wet chemistry	of dry sediment matter
11	Sulfur, elemental	S°	%	Zhabina, Nina N	Wet chemistry	of dry sediment matter
12	Sulfur of pyrite	S Py	%	Zhabina, Nina N	Wet chemistry	of dry sediment matter
13	Sulfur, organic	S org	%	Zhabina, Nina N	Wet chemistry	of dry sediment matter
14	Sulfur, total reduced	TS reduced	%	Zhabina, Nina N	Wet chemistry	of dry sediment matter
15	Carbon, organic, total	TOC	%	Zhabina, Nina N	Knopp method

License:

Creative Commons Attribution 3.0 Unported (CC-BY-3.0)

Size:

151 data points

Data

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

1 Event	2 Depth sed [m]	3 Depth top [m]	4 Depth bot [m]	5 Sediment	6 Water wm [%] (Calculated from weight loss a...)	7 Eh [mV] (Eh, Pt-electrode)	8 S in [SO4]2- [%] (of interstitial water, Wet ch...)	9 S in [SO4]2- [%] (of dry sediment matter, Wet c...)	10 S (S2-) [%] (of dry sediment matter, Wet c...)	11 S° [%] (of dry sediment matter, Wet c...)	12 S Py [%] (of dry sediment matter, Wet c...)	13 S org [%] (of dry sediment matter, Wet c...)	14 TS reduced [%] (of dry sediment matter, Wet c...)	15 TOC [%] (Knopp method)
AKO26-60-1GR	0.050	0.04	0.06	clayey mud, soft, greenish-gray, homogeneous	69.2	110	0.096	0.216	>0.0000	0.003	0.029	0.030	0.062	1.75
AKO26-60-1GR	0.125	0.10	0.15	same	68.8		0.092	0.204	0.0000	0.007	0.032	0.046	0.085	1.78
AKO26-60-1GR	0.175	0.15	0.20	same	69.5		0.081	0.186	0.0000	0.007	0.049	0.060	0.116	1.47
AKO26-60-1GC	0.085	0.05	0.12	clayey mud, soft, greenish-gray	67.3		0.104	0.213	0.0000	0.005	0.024	0.036	0.065	1.32
AKO26-60-1GC	0.160	0.12	0.20	same	66.4	70	0.099	0.195	0.0000	0.007	0.043	0.037	0.087	1.36
AKO26-60-1GC	0.250	0.20	0.30	clayey mud, greenish-gray with inclusion of olive-green intercalations and lenses	66.1	90	0.084	0.164	>0.0000	0.013	0.328	0.030	0.371	1.81
AKO26-60-1GC	0.340	0.30	0.38	clayey mud, soft, homogeneous, olive-green	61.7	255	0.100	0.161	0.0000	0.003	0.825	0.267	1.095	3.29
AKO26-60-1GC	0.510	0.46	0.56	clayey mud, very fine grained, dense, light greenish-yellow	73.2	220	0.090	0.245	0.0000	0.005	0.066	0.056	0.127	0.62
AKO26-60-1GC	0.650	0.60	0.70	clayey mud, soft, homogeneous, olive-green, H2S odor appears	62.6	130	0.098	0.165	>0.0000	0.007	0.909	0.231	1.147	3.65
AKO26-60-1GC	0.950	0.90	1.00	same	60.8		0.081	0.126	0.0006	0.004	0.898	0.271	1.174	3.80
AKO26-60-1GC	1.250	1.20	1.30	same	58.5	125	0.081	0.114	0.0003	0.004	1.037	0.277	1.318	3.54
AKO26-60-1GC	1.450	1.40	1.50	same	47.2		0.085	0.076	0.0006	0.003	0.814	0.142	0.960	2.64