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Lin, Tsai-Wen; Nehrke, Gernot; Mollenhauer, Gesine (2025): Thermogravimetric analysis (TGA) results of bulk organic matter in marine surface sediments from the Laptev Sea, Arctic Ocean [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.984756, In: Lin, T-W et al. (2025): Bulk organic matter data of Lena Delta permafrost, marine surface sediment, and sediment cores from the Laptev Sea, Arctic Ocean [dataset bundled publication]. PANGAEA, https://doi.org/10.1594/PANGAEA.984732

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Published: 2025-09-09DOI registered: 2025-10-08

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Abstract:
This datasheet includes the results of thermogravimetric analysis (TGA) from marine surface sediments from the Laptev Sea. Sediment samples of ~20 mg were dried, ground, and analyzed in 70 μL aluminum oxide crucibles using a Mettler Toledo TGA/DSC 1. The samples were heated from 25 to 1000 °C at a rate of 10 °C min-1 under a constant argon flow of 20 mL min-1, following similar settings from Smeaton & Austin (2022). Following Lopez-Capel et al. (2006), weight loss between 200–400 °C is attributed to the decomposition of labile organic matter (OML), while weight loss between 400–650°C corresponds to the decomposition of recalcitrant and refractory organic matter (OMR). The percentage of labile organic matter (OML/OM) is calculated as [OML/(OML+OMR)]*100%
Keyword(s):
Arctic Ocean; labile OM; Laptev Sea; Marine surface sediments; OML; OMR; refractory and recalcitrant OM; TGA; thermogravimetric analysis
References:
Capel, Elisa Lopez; de la Rosa Arranz, José Maria; González-Vila, Francisco Javier; González-Perez, José Antonio; Manning, David A C (2006): Elucidation of different forms of organic carbon in marine sediments from the Atlantic coast of Spain using thermal analysis coupled to isotope ratio and quadrupole mass spectrometry. Organic Geochemistry, 37(12), 1983-1994, https://doi.org/10.1016/j.orggeochem.2006.07.025
Smeaton, Craig; Austin, William EN (2022): Quality Not Quantity: Prioritizing the Management of Sedimentary Organic Matter Across Continental Shelf Seas. Geophysical Research Letters, 49(5), https://doi.org/10.1029/2021GL097481
Funding:
Helmholtz Association of German Research Centres (HGF), grant/award no. PIE-0018: German-Italian partnership project between AWI and CNR-ISP on Chronologies for Polar Paleoclimate Archives (PAIGE)
Coverage:
Median Latitude: 75.613729 * Median Longitude: 127.993264 * South-bound Latitude: 71.690000 * West-bound Longitude: 113.996667 * North-bound Latitude: 79.226667 * East-bound Longitude: 137.551667
Date/Time Start: 1993-08-11T00:00:00 * Date/Time End: 1995-08-17T00:00:00
Minimum DEPTH, sediment/rock: 0.005 m * Maximum DEPTH, sediment/rock: 0.005 m
Event(s):
IK93Z2-8  * Latitude: 73.666667 * Longitude: 113.996667 * Date/Time: 1993-08-11T00:00:00 * Elevation: -9.0 m * Location: Laptev Sea * Campaign: Transdrift-I * Basis: Ivan Kireyev * Method/Device: Box corer (Reineck) (BCR)
IK93Z4-4  * Latitude: 72.033333 * Longitude: 130.126667 * Date/Time: 1993-08-24T00:00:00 * Elevation: -14.0 m * Location: Laptev Sea * Campaign: Transdrift-I * Basis: Ivan Kireyev * Method/Device: Box corer (Reineck) (BCR)
IK93Z5-3  * Latitude: 71.690000 * Longitude: 137.006667 * Date/Time: 1993-08-29T00:00:00 * Elevation: -11.0 m * Location: Laptev Sea * Campaign: Transdrift-I * Basis: Ivan Kireyev * Method/Device: Box corer (Reineck) (BCR)
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
Event labelEventLin, Tsai-Wen
DEPTH, sediment/rockDepth sedmLin, Tsai-WenGeocode
Depth, top/minDepth topmLin, Tsai-Wen
Depth, bottom/maxDepth botmLin, Tsai-Wen
Organic matter, labile, per unit sediment massOML/sedmg/gLin, Tsai-WenThermogravimetric analyzer (TGA) and differential scanning calorimeter (DSC), Mettler Toledo, TGA/DSC 1
Organic matter, recalcitrant and refractory, per unit sediment massOMR/sedmg/gLin, Tsai-WenThermogravimetric analyzer (TGA) and differential scanning calorimeter (DSC), Mettler Toledo, TGA/DSC 1
Organic matter, labileOML%Lin, Tsai-WenCalculated
Status:
Curation Level: Enhanced curation (CurationLevelC)
Size:
125 data points

Data

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


Event

Depth sed [m]

Depth top [m]

Depth bot [m]

OML/sed [mg/g]

OMR/sed [mg/g]

OML [%]
IK9318-5 0.00500.0117.731.635.9
IK9350-6 0.00500.0112.527.031.7
IK9373A-6 0.00500.0110.824.830.2
IK93Z5-3 0.00500.016.115.927.6
IK9307-3 0.00500.0118.734.635.1
IK9316-6 0.00500.0120.137.435.0
IK9327-6 0.00500.019.919.833.3
IK9330-5 0.00500.019.919.833.3
IK9338-5 0.00500.0112.222.535.2
IK9340-9 0.00500.012.03.635.9
IK9342-6 0.00500.0113.424.435.4
IK9356-2 0.00500.015.710.834.6
IK9367-2 0.00500.0110.721.333.5
IK93Z2-8 0.00500.019.515.338.3
IK93Z4-4 0.00500.0114.226.734.8
PS2458-3 0.00500.0118.740.131.8
PS2461-2 0.00500.0111.526.730.0
PS2462-3 0.00500.0117.434.933.2
PS2470-1 0.00500.0119.142.131.2
PS2472-3 0.00500.0123.050.631.3
PS2474-2 0.00500.0121.441.634.0
PS2478-3 0.00500.019.920.532.6
PS2728-2 0.00500.0117.135.232.6
PS2747-8 0.00500.019.016.036.1
PS2749-3 0.00500.0117.039.430.2