PANGAEA_902020 Grain character data (grain size, sorting and shape) from quasi-coeval topset, foreset and bottomset deposits of Miocene clinothems, offshore New Jersey, USA Cosgrove, Grace I E; Hodgson, David; Mountney, Nigel P; McCaffrey, William D Grain character data (grain size, sorting and shape) from quasi-coeval topset, foreset and bottomset deposits of Miocene clinothems, offshore New Jersey, USA 2019-05-23 PANGAEA Dataset https://doi.pangaea.de/10.1594/PANGAEA.902020 Investigator Grace I E Cosgrove Earth Science Event label Site Core Section Depth, top/min Depth, bottom/max DEPTH, sediment/rock Texture Sediment type Grain size, mean Sorting Skewness Kurtosis Grain size, mean Grain size description Sorting description Skewness description Kurtosis description Mode, grain size Mode, grain size Percentile 10 Percentile 50 Percentile 90 Ratio Difference Percentile 10 Percentile 50 Percentile 90 Gravel Sand Silt Size fraction 64-32 mm, very coarse gravel, pebble Size fraction 32-16 mm, coarse gravel, pebble Size fraction 16-8 mm, medium gravel Size fraction 8.0-4.0 mm, fine gravel Size fraction 4.0-2.0 mm, very fine gravel, granule Size fraction 2.000-1.000 mm, (-1.0)-0.0 phi, very coarse sand Size fraction 1.000-0.500 mm, 0.0-1.0 phi, coarse sand Size fraction 0.500-0.250 mm, 1.0-2.0 phi, medium sand Size fraction 0.250-0.125 mm, 2.0-3.0 phi, fine sand Size fraction 0.125-0.063 mm, 3.0-4.0 phi, very fine sand Size fraction 0.063-0.032 mm, 4.0-5.0 phi, very coarse silt Size fraction 0.032-0.016 mm, 5.0-6.0 phi, coarse silt Size fraction 0.016-0.008 mm, 6.0-7.0 phi, medium silt Size fraction 0.008-0.004 mm, 7.0-8.0 phi, fine silt Size fraction 0.004-0.002 mm, 8.0-9.0 phi, very fine silt Size fraction < 0.002 mm, clay Sphericity Roundness geoscientificInformation 313-M0027A 313-M0028A 313-M0029A Character Clinoform Clinothem Exp313 Grain Shape Grain Size MAT-1A MAT-2D MAT-3A Texture CamsizerXT (Retsch Technology), statistical analysis GRADISTAT package (Blott and Pye, 2001) Kayd 2009-05-01 2009-06-21 Complete 39.519508333333 39.634101111167 -73.621691 -73.413208333333 225.39 m (DEPTH, sediment/rock) 729.17 m (DEPTH, sediment/rock) IODP Integrated Ocean Drilling Program / International Ocean Discovery Program unrestricted CC-BY-4.0: Creative Commons Attribution 4.0 International English PANGAEA Data Publisher for Earth & Environmental Science https://www.pangaea.de/ Data Center Contact Michael Diepenbroek info@pangaea.de

Leobener Str.

Bremen Bremen 28359 Germany online 62945 data points text/tab-separated-values Cosgrove, Grace I E; Hodgson, David; Poyatos-Moré, Miquel; Mountney, Nigel P; McCaffrey, William D (2018): Filter or conveyor? Establishing relationships between clinoform rollover trajectory, sedimentary process regime, and grain character within intrashelf clinothems, offshore New Jersey, U.S.A. Journal of Sedimentary Research, 88(8), 917-941, https://doi.org/10.2110/jsr.2018.44 Cosgrove, Grace I E; Hodgson, David M; Mountney, Nigel P; McCaffrey, William D (2019): High-resolution correlations of strata within a sand-rich clinothem using grain fabric data, offshore New Jersey, USA. Geosphere, 15(4), 1291-1322, https://doi.org/10.1130/GES02046.1 Ando, Hisao; Oyama, Junichi; Nanayama, Futoshi (2014): Data report: grain size distribution of Miocene successions, IODP Expedition 313 Sites M0027, M0028, and M0029, New Jersey shallow shelf. In: Proceedings of the IODP, Integrated Ocean Drilling Program, https://doi.org/10.2204/iodp.proc.313.201.2014 Battarbee, Richard (1986): Diatom analysis. In: Berglund, B E (ed.), Handbook of Holocene Palaeoecology and Palaeohydrology: Toronto, John Wiley and Sons, 527-570 Battarbee, Richard; Jones, Vivienne J; Flower, R J; Cameron, Nigel G; Bennion, Helen (2001): Diatoms. In: Smol, J P, Birks, H J B & Last, W M (eds.), Tracking Environmental Change Using Lake Sediments, Volume 3: Terrestrial, Algal and Siliceous Indicators: Dordrecht, Kluwer Academic Publishers, 3, 155-202 Blott, Simon J; Pye, Kenneth (2001): GRADISTAT: a grain size distribution and statistics package for the analysis of unconsolidated sediments. Earth Surface Processes and Landforms, 26(11), 1237-1248, https://doi.org/10.1002/esp.261 Browning, James V; Miller, K G; Sugarman, Peter J; Barron, John A; McCarthy, Francine M G; Kulhanek, Denise K; Katz, Miriam E; Feigenson, Mark D (2013): Chronology of Eocene-Miocene sequences on the New Jersey shallow shelf: Implications for regional, interregional, and global correlations. Geosphere, 9(6), 1434-1456, https://doi.org/10.1130/GES00857.1 Frey, M H; Payne, D A (1996): Grain-size effect on structure and phase transformations for barium titanate. Physical Review B, 54(5), 3158-3168, https://doi.org/10.1103/PhysRevB.54.3158 Gray, Andrew B; Pasternack, Gregory B; Watson, E B (2010): Hydrogen peroxide treatment effects on the particle size distribution of alluvial and marsh sediments. The Holocene, 20(2), 293-301, https://doi.org/10.1177/0959683609350390 Miller, K G; Browning, James V; Mountain, Gregory S; Bassetti, Maria Angela; Monteverde, Donald Harrison; Katz, Miriam E; Inwood, Jenny; Lofi, Johanna; Proust, Jean-Noël (2013): Sequence boundaries are impedance contrasts: core-seismic-log integration of Oligocene-Miocene sequences, New Jersey shallow shelf. Geosphere, 9, 1257-1285, https://doi.org/10.1130/GES00858.1 Monteverde, Donald Harrison; Mountain, Gregory S; Miller, Kenneth G (2008): Early Miocene sequence development across the New Jersey margin. Basin Research, 20(2), 249-267, https://doi.org/10.1111/j.1365-2117.2008.00351.x Mountain, Gregory S; Proust, Jean-Noël; McInroy, Dave; Cotterill, Carol; Expedition 313 Scientists (2010): Proceedings of the Integrated Ocean Drilling Program. Tokyo (Integrated Ocean Drilling Program Management International, Inc.), 313, 885 pp, https://doi.org/10.2204/iodp.proc.313.2010 Nelsen, Terry A (1983): Time- and method-dependent size distributions of fine-grained sediments. Sedimentology, 30(2), 249-259, https://doi.org/10.1111/j.1365-3091.1983.tb00668.x Sahu, Basanta K (1964): Depositional Mechanisms from the Size Analysis of Clastic Sediments. Journal of Sedimentary Research, Vol. 34, https://doi.org/10.1306/74D70FCE-2B21-11D7-8648000102C1865D Wilson, M D; Pittman, Edward D (1977): Authigenic Clays in Sandstones: Recognition and Influence on Reservoir Properties and Paleoenvironmental Analysis. Journal of Sedimentary Research, Vol. 47, https://doi.org/10.1306/212F70E5-2B24-11D7-8648000102C1865D

These data comprise a grain character dataset (grain size, sorting and grain shape) from the topset, foreset, and bottomset deposits of four successive Miocene intrashelf clinothem sequences (m5.7, m5.4, m5.45 and m5.3). These clinothems have been mapped and described by various authors (e.g. Monteverde et al., 2008; Mountain et al., 2010; Miller et al., 2013), and were continuously cored and logged during IODP (International Ocean Discovery Program) Expedition 313 (Offshore New Jersey, USA). In total, 878 sediment samples were collected from the working half of three cores recovered during IODP Expedition 313, offshore New Jersey. The three cores, kept in cold storage at the University of Bremen, are from Sites M27, M28 and M29. The stratigraphic horizons targeted during this investigation were exclusively Miocene in age, corresponding to depths of 225 - 365 mcd (metres composite depth), 312 - 600 mcd, and 600 - 730 mcd in cores M27, M28 and M29 respectively. Collectively, a total of 560 m of core has been sampled. With reference to the seismic clinothem model presented in Miller et al. (2013), these stratigraphic depths correspond to the interval between major seismic sequence boundaries m5.7 - m5.2. Where no prominent grain size change was recorded in either the cumulative lithology presented in Miller et al. (2013) or core descriptions (Mountain et al., 2010), the strategy for sample collection was to remove 15 x 15 x 15 mm sediment slices, subsampled at ~ 500 mm intervals down-core. The sampling strategy was amended to target stratigraphic depths where grain size change was most prominent. At these intervals, highlighted by the broad patterns of down-core lithological and grain size change (Mountain et al., 2010; Browning et al., 2013; Miller et al., 2013), sampling density was increased to ~ 300 mm intervals. During the sampling process there was some deviation from this sampling configuration in order to avoid 1) horizons of cementation, (2) biscuiting disturbance, 3) key stratigraphic surfaces and 4) heavily sampled intervals. Due to the pervasive presence of biogenic material (including calcareous skeletal remains, shell fragments, and organic matter) sample pre-treatment was undertaken prior to grain character measurements, in order to remove these components. Sample pre-treatment comprised the careful manual disaggregation of the semi-lithified samples using an agate mortar and pestle (e.g., Sahu, 1964; Wilson and Pittman, 1977; Nelson, 1983; Frey and Payne, 1996; Ando et al., 2014). Hydrochloric acid (10% weight to volume) and hydrogen peroxide (30% weight to volume) were added to all samples, to ensure the removal of any calcareous and non-calcareous organic components, respectively (e.g., Battarbee, 1986; Battarbee et al., 2001; Gray et al., 2009) Grain character is defined as the grain size, sorting and grain shape (sphericity and roundness) of a sample. Grain character analysis was completed using a CamsizerXT (Retsch Technology), which is an optically based dynamic image analyser. The CamsizerXT is capable of measuring the grain-size range 1 µm - 8 mm (clay - gravel), with an accuracy of ± 1%. Grain-size fractions < 1 µm are lost during the process of analysis. The statistical analysis of all CamsizerXT results was completed using GRADISTAT computer software (Blott and Pye, 2001). The GRADISTAT software enables the rapid analysis of grain size statistics from multiple sediment samples and produces numerical, geometrically and logarithmically calculated values of the mean, mode, and sorting (more information on Page Two of data spreadsheet). Grain shape data were analysed using Microsoft Excel software. The data are presented in spreadsheet format. Each sample is given a 'Site' this refers to Sites M27, M28 and M29; for the site locations the user is asked to refer to the seismic clinothem model presented in Mountain et al. (2010) and Miller et al. (2013). Each sample is also given a core number and core section (e.g., 80-1) and a sample depth (given in meters composite depth; e.g., 225.55 mcd); the user is asked to refer to Mountain et al. (2010) and Browning et al. (2013) to see the sampled core numbers, sections and depths alongside sedimentary logs, completed by the Onshore Scientific Party of IODP Expedition 313. Each sample is given: i) a textural group and a sediment name; ii) an arithmetic, geometric and logarithmic value of the grain-size mean, standard deviation, skewness and kurtosis; iii) an arithmetic, geometric and logarithmic value of the sorting and iv) the percentage of each grain-size fraction present within a sample. On Page Two of the spreadsheet (entitled GRADISTAT Information); Tables One and Two outline the mathematical parameters and grain-size scale used by the GRADISTAT software (Blott and Pye, 2001) to calculate the grain character data. For more information the user is asked to refer to Blott and Pye (2001). A synthesis of the grain character results and interpretations have been published in two papers; Cosgrove et al. (2018) and Cosgrove et al. (2019). These papers document patterns of sediment dispersal and variations in grain size, sorting and grain shape, at a basin-scale (i.e. across successive clinothems) and within individual clinothem sequences (i.e. at an intra-clinothem scale). These data can be used to condition and validate process-based numerical forward models and have widespread applications in prediction of reservoir quality in both frontier and mature hydrocarbon basins. ** For all details see the full metadata description at "https://doi.pangaea.de/10.1594/PANGAEA.902020"!

https://doi.org/10.1002/esp.261 CamsizerXT (Retsch Technology), statistical analysis GRADISTAT package (Blott and Pye, 2001) https://doi.org/10.1002/esp.261 GRADISTAT: a grain size distribution and statistics package for the analysis of unconsolidated sediments https://doi.org/10.1103/PhysRevB.54.3158 Grain-size effect on structure and phase transformations for barium titanate https://doi.org/10.1111/j.1365-2117.2008.00351.x Early Miocene sequence development across the New Jersey margin https://doi.org/10.1111/j.1365-3091.1983.tb00668.x Time- and method-dependent size distributions of fine-grained sediments https://doi.org/10.1130/GES00857.1 Chronology of Eocene-Miocene sequences on the New Jersey shallow shelf: Implications for regional, interregional, and global correlations https://doi.org/10.1130/GES00858.1 Sequence boundaries are impedance contrasts: core-seismic-log integration of Oligocene-Miocene sequences, New Jersey shallow shelf https://doi.org/10.1130/GES02046.1 High-resolution correlations of strata within a sand-rich clinothem using grain fabric data, offshore New Jersey, USA https://doi.org/10.1177/0959683609350390 Hydrogen peroxide treatment effects on the particle size distribution of alluvial and marsh sediments https://doi.org/10.1306/212F70E5-2B24-11D7-8648000102C1865D Authigenic Clays in Sandstones: Recognition and Influence on Reservoir Properties and Paleoenvironmental Analysis https://doi.org/10.1306/74D70FCE-2B21-11D7-8648000102C1865D Depositional Mechanisms from the Size Analysis of Clastic Sediments https://doi.org/10.2110/jsr.2018.44 Filter or conveyor? Establishing relationships between clinoform rollover trajectory, sedimentary process regime, and grain character within intrashelf clinothems, offshore New Jersey, U.S.A. https://doi.org/10.2204/iodp.proc.313.201.2014 Data report: grain size distribution of Miocene successions, IODP Expedition 313 Sites M0027, M0028, and M0029, New Jersey shallow shelf https://doi.org/10.2204/iodp.proc.313.2010 Proceedings of the Integrated Ocean Drilling Program https://en.wikipedia.org/wiki/Mode_(statistics) Mode, grain size https://www.iodp.org/ IODP DIF 9.4 2019-05-23 2026-10-01