Hasberg Ascelina hasberg.ascelina@gmail.com Bijaksana Satria satria.bijaksana@gmail.com 0000-0001-6374-4128 Held Peter Just Janna janna.just@uni-bremen.de 0000-0002-5257-604X Melles Martin mmelles@uni-koeln.de http://www.geologie.uni-koeln.de/melles.html 0000-0003-0977-9463 Morlock Marina A 0000-0001-6495-8267 Opitz Stephan stephan.opitz@gmx.de 0000-0003-0416-542X Russell James M James_Russell@brown.edu Vogel Hendrik hendrik.vogel@unibe.ch 0000-0002-9902-8120 Wennrich Volker 0000-0003-3617-1963 2020 Grain-size distribution from different surface sediment samples of Lake Towuti, Indonesia dataset https://doi.org/10.1594/PANGAEA.914850 2020-04-16T08:41:08 A digital elevation model (DEM) of Lake Towuti and its surrounding was calculated using ArcGIS (Esri, Inc., Redlands, CA, USA). The model is based on open source satellite data for Sulawesi provided by the United States Geological Survey (Aster Global DEM based on the Shuttle Radar Topography Mission carried out by the National Aeronautics and Space Administration at 1 arc-second 30 m spatial resolution). Spatial interpolation of the analytical surface sediment data was carried out with the software Surfer 9 (Golden Software Inc., Golden, CO, USA) using the kriging method. Statistical analyses employed on the surface sediment data sets comprise end-member (EM) unmixing, principal component analysis (PCA) and a redundancy analysis (RDA). EM analyses were carried out on normalized and standardized grain-size (EMGS), chemical (EMChem) and mineralogical (EMMin) data sets. Assuming a sedimentary mixture from different sources the mixing model in all cases can be written as: X = AS + E (1) where X represents the n-by-m matrix of n samples (one per row) and m variables (relative abundance of individual data). Matrix A (n-by-l) denotes the mixing proportion of l end-members for the n samples, S represents the m properties of the l EMs and E is the error matrix of residuals. The uncertainties of the EM analyses are controlled by the errors of the data sets used. The EM algorithm developed by Heslop and Dillon (2007) adopting the approach of Weltje (1997) was applied. The decision criterion of how many EMs are included in the three models is based partly on the coefficients of determination derived from the PCA. Nevertheless, the number of the respective EMs should also be reasonable in the geological context of the data set (Weltje, 1997; Weltje and Prins, 2007). Residuals of the EM models include analytical errors and non-identified additional sources of variability. All other multivariate statistical analyses were carried out with the Excel-based software Addinsoft XLSTAT (STATCON GmbH, Witzenhausen, Germany) The PCA was conducted with the sand content and the concentrations of selected elements determined by ICP-MS and XRF analyses (Fe, Mg, Al, Si, K, Ca, Cr and Ni). In the RDA, the results derived from the PCA are expanded by the concentrations of major minerals, the MS and TOC values and the C/N ratio. The correlation matrix includes all data except 13COM and the concentrations of diatom frustules, sponge spicules and tephra particles, which all were determined on a subset of the surface samples only. Hasberg Ascelina hasberg.ascelina@gmail.com Bijaksana Satria satria.bijaksana@gmail.com 0000-0001-6374-4128 Held Peter Just Janna janna.just@uni-bremen.de 0000-0002-5257-604X Melles Martin mmelles@uni-koeln.de http://www.geologie.uni-koeln.de/melles.html 0000-0003-0977-9463 Morlock Marina A 0000-0001-6495-8267 Opitz Stephan stephan.opitz@gmx.de 0000-0003-0416-542X Russell James M James_Russell@brown.edu Vogel Hendrik hendrik.vogel@unibe.ch 0000-0002-9902-8120 Wennrich Volker 0000-0003-3617-1963 2019 Modern sedimentation processes in Lake Towuti, Indonesia, revealed by the composition of surface sediments journal article Sedimentology 66(2) https://doi.org/10.1111/sed.12503 675-698 120.9512 121.6647 -2.9323 -2.6525 121.51214285714283 -2.7594785714285712 0.0 0.0 not specified Lake_Towuti-01 -2.6682 121.4206 6.3 m Lake_Towuti-02 -2.6525 121.441 5.4 m Lake_Towuti-03 -2.6692 121.4548 48.4 m Lake_Towuti-04 -2.6875 121.4526 97.5 m Lake_Towuti-05 -2.6547 121.4775 47.1 m Lake_Towuti-06 -2.6731 121.4824 7.5 m Lake_Towuti-07 -2.6712 121.4548 62.4 m Lake_Towuti-08 -2.6679 121.5218 49 m Lake_Towuti-09 -2.6788 121.5266 96.4 m Lake_Towuti-10 -2.6693 121.5178 72.6 m Lake_Towuti-11 -2.6828 121.5128 83.4 m Lake_Towuti-12 -2.6943 121.521 124.7 m Lake_Towuti-13 -2.6836 121.5452 140 m Lake_Towuti-14 -2.6883 121.5335 125.4 m Lake_Towuti-15 -2.6743 121.5569 171.2 m Lake_Towuti-16 -2.6853 121.5635 174.9 m Lake_Towuti-17 -2.6957 121.5851 195.5 m Lake_Towuti-18 -2.6655 121.5281 3.5 m Lake_Towuti-19 -2.6935 121.4868 123.7 m Lake_Towuti-20 -2.7015 121.4439 75.6 m Lake_Towuti-21 -2.7048 121.4816 144.7 m Lake_Towuti-22 -2.7019 121.5592 171.4 m Lake_Towuti-23 -2.6778 121.5869 177.9 m Lake_Towuti-24 -2.6753 121.6384 133.3 m Lake_Towuti-25 -2.6976 121.6599 129.2 m Lake_Towuti-26 -2.7168 121.6272 137.7 m Lake_Towuti-27 -2.7274 121.6569 59.3 m Lake_Towuti-28 -2.7114 121.6073 194.5 m Lake_Towuti-29 -2.7146 121.5817 172.1 m Lake_Towuti-30 -2.7079 121.5403 147.6 m Lake_Towuti-31 -2.7113 121.518 147.4 m Lake_Towuti-32 -2.7165 121.4949 153.7 m Lake_Towuti-33 -2.7173 121.4666 100.4 m Lake_Towuti-34 -2.7182 121.5593 141.1 m Lake_Towuti-35 -2.7246 121.5358 154 m Lake_Towuti-36 -2.7265 121.5089 157.7 m Lake_Towuti-37 -2.7315 121.481 146.5 m Lake_Towuti-38 -2.7376 121.4561 78.5 m Lake_Towuti-39 -2.6636 121.6647 101.1 m Lake_Towuti-40 -2.7525 121.4642 101.2 m Lake_Towuti-41 -2.7428 121.4971 130.1 m Lake_Towuti-42 -2.7397 121.5245 161.8 m Lake_Towuti-43 -2.7338 121.5551 141.6 m Lake_Towuti-44 -2.7316 121.5799 126.8 m Lake_Towuti-45 -2.7307 121.6079 81.8 m Lake_Towuti-46 -2.7447 121.615 53.8 m Lake_Towuti-47 -2.7457 121.596 73.9 m Lake_Towuti-48 -2.7583 121.6017 92.2 m Lake_Towuti-49 -2.7583 121.5935 25.6 m Lake_Towuti-50 -2.7847 121.592 4.5 m Lake_Towuti-51 -2.7953 121.5736 4.4 m Lake_Towuti-52 -2.7771 121.5739 32.9 m Lake_Towuti-53 -2.7568 121.5717 73.2 m Lake_Towuti-54 -2.7438 121.5633 129.6 m Lake_Towuti-55 -2.7555 121.5405 96 m Lake_Towuti-56 -2.7505 121.5123 134.9 m Lake_Towuti-57 -2.7771 121.5861 58.9 m Lake_Towuti-58 -2.7634 121.4818 127.6 m Lake_Towuti-59 -2.7862 121.4781 112 m Lake_Towuti-60 -2.8155 121.467 134.3 m Lake_Towuti-61 -2.8262 121.4373 117.6 m Lake_Towuti-62 -2.8561 121.4444 117.5 m Lake_Towuti-63 -2.874 121.422 119.6 m Lake_Towuti-64 -2.8914 121.4045 77.5 m Lake_Towuti-65 -2.932 121.3904 19.1 m Lake_Towuti-66 -2.9216 121.4095 40.7 m Lake_Towuti-67 -2.9052 121.4313 120.8 m Lake_Towuti-68 -2.8845 121.4481 168.8 m Lake_Towuti-69 -2.8625 121.4798 177 m Lake_Towuti-70 -2.8366 121.4837 252 m Lake_Towuti-71 -2.8074 121.499 132 m Lake_Towuti-72 -2.7806 121.513 71.6 m Lake_Towuti-73 -2.9145 121.4562 87.1 m Lake_Towuti-74 -2.8981 121.4786 93.3 m Lake_Towuti-75 -2.8833 121.5039 50.6 m Lake_Towuti-76 -2.8574 121.4986 160 m Lake_Towuti-77 -2.8488 121.5344 53.4 m Lake_Towuti-78 -2.8322 121.5145 119 m Lake_Towuti-79 -2.8257 121.5549 46.8 m Lake_Towuti-80 -2.8103 121.5328 99.8 m Lake_Towuti-81 -2.8372 121.46 168.5 m Lake_Towuti-82 -2.9274 120.9512 36.1 m Lake_Towuti-83 -2.9323 121.4047 2.8 m Lake_Towuti-84 -2.8671 121.5406 9.6 m 1676 CC-BY-4.0 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/ Event label Event Hasberg Ascelina hasberg.ascelina@gmail.com Event Latitude of event Latitude Hasberg Ascelina hasberg.ascelina@gmail.com Latitude Longitude of event Longitude Hasberg Ascelina hasberg.ascelina@gmail.com Longitude Depth, bathymetric Bathy depth m depth http://purl.obolibrary.org/obo/PATO_0001595 Length L http://dbpedia.org/resource/Length Hasberg Ascelina hasberg.ascelina@gmail.com Lake water depth Bathy depth [m] (Lake water depth) Station label Station Hasberg Ascelina hasberg.ascelina@gmail.com Sediment surface sample number Station (Sediment surface sample number) DEPTH, sediment/rock Depth sed m depth http://purl.obolibrary.org/obo/PATO_0001595 sediment http://purl.obolibrary.org/obo/ENVO_00002007 rock Length L http://dbpedia.org/resource/Length Hasberg Ascelina hasberg.ascelina@gmail.com Depth sed [m] Sandstone Sdst % sandstone http://purl.obolibrary.org/obo/ENVO_00002055 Dimensionless Ratio ψ Laser particle analyzer (Beckman Coulter LS13320) Hasberg Ascelina hasberg.ascelina@gmail.com Sdst [%] Mudstone Mudstone % mudstone http://purl.obolibrary.org/obo/ENVO_01000272 Dimensionless Ratio ψ Laser particle analyzer (Beckman Coulter LS13320) Hasberg Ascelina hasberg.ascelina@gmail.com Mudstone [%] End member EM Laser particle analyzer (Beckman Coulter LS13320) Hasberg Ascelina hasberg.ascelina@gmail.com 1 GS EM (1 GS) End member EM Laser particle analyzer (Beckman Coulter LS13320) Hasberg Ascelina hasberg.ascelina@gmail.com 2 GS EM (2 GS) Size fraction 2.000-1.000 mm, (-1.0)-0.0 phi, very coarse sand 2-1 mm % size http://purl.obolibrary.org/obo/PATO_0000117 Fraction Dimensionless Ratio ψ Laser particle analyzer (Beckman Coulter LS13320) Hasberg Ascelina hasberg.ascelina@gmail.com 2-1 mm [%] Size fraction 2.000-0.630 mm, coarse sand 2000-630 µm % size http://purl.obolibrary.org/obo/PATO_0000117 Fraction Dimensionless Ratio ψ Laser particle analyzer (Beckman Coulter LS13320) Hasberg Ascelina hasberg.ascelina@gmail.com 2000-630 µm [%] Size fraction 1.000-0.250 mm, medium coarse sand 1-0.25 mm % size http://purl.obolibrary.org/obo/PATO_0000117 Fraction Dimensionless Ratio ψ Laser particle analyzer (Beckman Coulter LS13320) Hasberg Ascelina hasberg.ascelina@gmail.com 1-0.25 mm [%] Size fraction 0.250-0.125 mm, 2.0-3.0 phi, fine sand 250-125 µm % size http://purl.obolibrary.org/obo/PATO_0000117 Fraction Dimensionless Ratio ψ Laser particle analyzer (Beckman Coulter LS13320) Hasberg Ascelina hasberg.ascelina@gmail.com 250-125 µm [%] Size fraction 0.125-0.063 mm, 3.0-4.0 phi, very fine sand 125-63 µm % size http://purl.obolibrary.org/obo/PATO_0000117 Fraction Dimensionless Ratio ψ Laser particle analyzer (Beckman Coulter LS13320) Hasberg Ascelina hasberg.ascelina@gmail.com 125-63 µm [%] Silt Silt % silt http://purl.obolibrary.org/obo/ENVO_01000016 Dimensionless Ratio ψ Laser particle analyzer (Beckman Coulter LS13320) Hasberg Ascelina hasberg.ascelina@gmail.com Silt [%] Size fraction 0.032-0.016 mm, 5.0-6.0 phi, coarse silt 32-16 µm % size http://purl.obolibrary.org/obo/PATO_0000117 Fraction Dimensionless Ratio ψ Laser particle analyzer (Beckman Coulter LS13320) Hasberg Ascelina hasberg.ascelina@gmail.com 32-16 µm [%] Size fraction 0.016-0.008 mm, 6.0-7.0 phi, medium silt 16-8 µm % size http://purl.obolibrary.org/obo/PATO_0000117 Fraction Dimensionless Ratio ψ Laser particle analyzer (Beckman Coulter LS13320) Hasberg Ascelina hasberg.ascelina@gmail.com 16-8 µm [%] Size fraction 0.008-0.004 mm, 7.0-8.0 phi, fine silt 8-4 µm % size http://purl.obolibrary.org/obo/PATO_0000117 Fraction Dimensionless Ratio ψ Laser particle analyzer (Beckman Coulter LS13320) Hasberg Ascelina hasberg.ascelina@gmail.com 8-4 µm [%] Size fraction 0.004-0.002 mm, 8.0-9.0 phi, very fine silt 4-2 µm % size http://purl.obolibrary.org/obo/PATO_0000117 Fraction Dimensionless Ratio ψ Laser particle analyzer (Beckman Coulter LS13320) Hasberg Ascelina hasberg.ascelina@gmail.com 4-2 µm [%] Claystone Claystone % claystone http://purl.obolibrary.org/obo/ENVO_01000270 Dimensionless Ratio ψ Laser particle analyzer (Beckman Coulter LS13320) Hasberg Ascelina hasberg.ascelina@gmail.com Claystone [%] Sand Sand % sand Dimensionless Ratio ψ Laser particle analyzer (Beckman Coulter LS13320) Hasberg Ascelina hasberg.ascelina@gmail.com Sand [%] Silt Silt % silt http://purl.obolibrary.org/obo/ENVO_01000016 Dimensionless Ratio ψ Laser particle analyzer (Beckman Coulter LS13320) Hasberg Ascelina hasberg.ascelina@gmail.com Silt [%] Clay minerals Clay min % clay http://purl.obolibrary.org/obo/ENVO_00002982 Dimensionless Ratio ψ Laser particle analyzer (Beckman Coulter LS13320) Hasberg Ascelina hasberg.ascelina@gmail.com Clay min [%] citable Indo-Pacific Warm Pool (IPWP) Lake Towuti modern sedimentation provenance analysis Redox conditions tropical lake GFBio author21 author36673 author36741 author38073 author42003 author72229 author72236 author72240 author72267 author74799 event2932219 event2932220 event2932221 event2932222 event2932223 event2932224 event2932225 event2932226 event2932227 event2932228 event2932229 event2932230 event2932231 event2932232 event2932233 event2932234 event2932235 event2932236 event2932237 event2932238 event2932239 event2932240 event2932241 event2932242 event2932243 event2932244 event2932245 event2932246 event2932247 event2932248 event2932249 event2932250 event2932251 event2932252 event2932253 event2932254 event2932255 event2932256 event2932257 event2932258 event2932259 event2932260 event2932261 event2932262 event2932263 event2932264 event2932265 event2932266 event2932267 event2932268 event2932269 event2932270 event2932271 event2932272 event2932273 event2932274 event2932275 event2932276 event2932277 event2932278 event2932279 event2932280 event2932281 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