500882b0-3b91-337f-e063-3050940a63a5 English dataset British Geological Survey +44 115 936 3100 Environmental Science Centre,Keyworth NOTTINGHAM NOTTINGHAMSHIRE NG12 5GG United Kingdom enquiries@bgs.ac.uk pointOfContact 2026-05-03 UK GEMINI 2.3 http://data.bgs.ac.uk/id/dataHolding/13608671 WGS 84 (EPSG::4326) Lipid biomarker data for six sites spanning the Paleocene-Eocene Thermal Maximum 2026-04-21 creation http://data.bgs.ac.uk/id/dataHolding/13608671 Biomarker data from marine sediments samples retrieved from the following sites: (i) Tanzania (TDP Site 14), (ii) New Jersey Margin (Site 174AX), (iii) Denmark (Fur) (iv) Tasman Sea (ODP Site 1172) and (v) the High Arctic (IODP Site 302). Sediments are ~56 million years old and span the Paleocene-Eocene Thermal Maximum. Biomarker data was compiled from previous publications (see ref. 1-5 below) or extracted and analysed via gas chromatography-mass spectrometry (GC-MS). Biomarker data was then apportioned into plant, soil, and algal organic carbon using a three-end member mixing model (https://github.com/FluvialSeds/petm_mixing_model). The dataset also includes climate variables from ocean-atmosphere climate model simulations. This was generated previously (see ref. 6) or obtained using the Hadley Centre model. The analysis was supported by Royal Society Dorothy Hodgkin Fellowship DHF/R1/191178 and NERC Pushing the Frontiers Grant UKRI1272. In total, 14 individual datasets are included: Sheet 1: Lipid biomarker data and OC burial fluxes from Tasman Sea (Source data; Fig. 1) Sheet 2: Lipid biomarker data and OC burial fluxes from New Jersey Margin (source data: Fig.1) Sheet 3: Lipid biomarker data and OC burial fluxes from the High Arctic (source data: Fig.1) Sheet 4: Lipid biomarker data and OC burial fluxes from Denmark (source data: Fig.1) Sheet 5: Lipid biomarker data and OC burial fluxes from Tanzania (source data: Fig.1) Sheet 6: Average mass accumulation rate (MAR) data for High Arctic, New Jersey Margin, Denmark, and Tasman Sea between the latest Paleocene and PETM (source data: Fig. 2a) Sheet 7: Average mass accumulation rate (MAR) data for High Arctic and New Jersey Margin during the pre-PETM, PETM body and PETM recovery (source data: Fig. 2b, 2c) Sheet 8: DeepMIP model ensemble-derived estimates of mean annual precipitation under different CO2 scenarios (source data; Figure 3) Sheet 9: HadCM3L-derived estimates of plant and soil OC stocks under different CO2 scenarios (Source data: fig.4) Sheet 10: Total organic carbon burial flux (in MtC/yr-1) in marine sediments during the PETM assuming 270kyr duration Sheet 11: MOSES2.1 soil parameters used within the HadCM3B palaeoclimate model. Sheet 12: Lipid biomarker data from Mississippi (Yedema et al., 2022) and proportion of plant, soil, and marine OC Sheet 13: #ringstetra data for Denmark Sheet 14: #ringstetra data for New Jersey Margin References: (1) Stokke, E.W., et al., (2020) Earth and Planetary Science Letters, 544 (2) Sluijs, A., et al., (2020) Climate of the Past, 16(6) (3) Sluijs, A., et al., (2011) Climate of the Past. 7(1) (4) Carmichael, M.J., et al., (2017) Global and Planetary Change. 157 (5) Elling, F.J., et al., (2019) Nature Communications. 10(1) (6) Lunt, D.J., et al., (2021) Climate of the Past. 17(1) Valdes, Professor Paul University of Bristol School of Geographical Sciences not available originator Professor Richard Pancost University of Bristol School of Chemistry Bristol BS8 1TS not available originator Dr Alexander Farnsworth University of Bristol School of Geographical Sciences University Road Bristol BS8 1SS not available originator Robert Hilton University of Oxford Professor of Sedimentary Geology Department of Earth Sciences, South Parks Road Oxford Oxford OX1 3AN not available originator Marcus Badger The Open University not available originator Gordon N. Inglis University of Southampton School of Ocean and Earth Science, National Oceanography Centre Southampton, University of Southampton Waterfront Campus, European Way Southampton SO14 3ZH not available originator Jordon D. Hemingway ETH Zurich Zurich Switzerland not available originator Richard Stockey University of Southampton Southampton not available originator Emily Hollingsworth University of Southampton Southampton not available originator Xiaoxiao Zhao Christian-Albrechts-University of Kiel not available originator Felix J. Elling Christian-Albrechts-University of Kiel not available originator Ann Pearson Harvard University not available originator Thomas M. Gernon University of Southampton not available originator Enquiries British Geological Survey United Kingdom not available distributor Enquiries British Geological Survey United Kingdom not available pointOfContact notApplicable https://resources.bgs.ac.uk/images/geonetworkThumbs/500882b0-3b91-337f-e063-3050940a63a5.png Geology GEMET - INSPIRE themes, version 1.0 2008-06-01 publication NGDC Deposited Data Citable Data dataCentre NERC_DDC otherRestrictions restricted The dataset has been formally approved by BGS for access by external clients under a BGS Digital Data Licence, issued via BGS's IPR Section. The dataset must not be provided to, or be accessible by, an external client until the IPR Section confirms that signed licence documentation is in place. Refer to the IPR Section (DigitalLE@bgs.ac.) if further advice is required.. Constraint applies until 2026-09-01 otherRestrictions The copyright of materials derived from the British Geological Survey's work is vested in the Natural Environment Research Council [NERC]. No part of this work may be reproduced or transmitted in any form or by any means, or stored in a retrieval system of any nature, without the prior permission of the copyright holder, via the BGS Intellectual Property Rights Manager. Use by customers of information provided by the BGS, is at the customer's own risk. In view of the disparate sources of information at BGS's disposal, including such material donated to BGS, that BGS accepts in good faith as being accurate, the Natural Environment Research Council (NERC) gives no warranty, expressed or implied, as to the quality or accuracy of the information supplied, or to the information's suitability for any use. NERC/BGS accepts no liability whatever in respect of loss, damage, injury or other occurence however caused. Either: (i) the dataset is made freely available, e.g. via the Internet, for a restricted category of use (e.g. educational use only); or (ii) the dataset has not been formally approved by BGS for access and use by external clients under licence, but its use may be permitted under alternative formal arrangements; or (iii) the dataset contains 3rd party data or information obtained by BGS under terms and conditions that must be consulted in order to determine the permitted usage of the dataset. Refer to the BGS staff member responsible for the creation of the dataset if further advice is required. He / she should be familiar with the composition of the dataset, particularly with regard to 3rd party IPR contained in it, and any resultant use restrictions. This staff member should revert to the IPR Section (ipr@bgs.ac.uk) for advice, should the position not be clear. English geoscientificInformation British Geological Survey Gazetteer: Geographical hierarchy from Geosaurus 1979 creation ARCTIC & SUBARCTIC [id=899500] British Geological Survey Gazetteer: Geographical hierarchy from Geosaurus 1979 creation DENMARK [id=136000] ISO 3166_1 alpha-2 2009 revision DK ISO 3166_1 alpha-3 2009 revision DNK British Geological Survey Gazetteer: Geographical hierarchy from Geosaurus 1979 creation NEW JERSEY [id=774500] British Geological Survey Gazetteer: Geographical hierarchy from Geosaurus 1979 creation TANZANIA [id=685000] British Geological Survey Gazetteer: Gazetteer of sea areas 2010 revision TASMAN SEA [id=2001476] -74.9000 149.6000 -43.6000 87.9000 2020-01-01 2026-03-01 Microsoft Excel spreadsheet (.xlsx) Enquiries British Geological Survey United Kingdom not available distributor https://webapps.bgs.ac.uk/services/ngdc/accessions/index.html#item192011 WWW:DOWNLOAD-1.0-http--download Data download https://doi.org/10.5285/b812f06f-4920-451c-9072-bfc7115dafff WWW:LINK-1.0-http--related Citation Information - Digital Object Identifier (DOI) Inglis, G. N., Hemingway, J. D., Stockey, R., Hollingsworth, E., Valdes, P., Farnsworth, A., Elling, F. J., Badger, M., Zhao, X., Pancost, R. D., Pearson, A., Gernon, T. M., Hilton, R. (2026). Lipid biomarker data for six sites spanning the Paleocene-Eocene Thermal Maximum. NERC EDS National Geoscience Data Centre. (Dataset). https://doi.org/10.5285/b812f06f-4920-451c-9072-bfc7115dafff information dataset INSPIRE Implementing rules laying down technical arrangements for the interoperability and harmonisation of Geology 2011 publication See the referenced specification false Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services 2010-12-08 publication See http://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=OJ:L:2010:323:0011:0102:EN:PDF false Biomarker data was compiled from previous publications (see reference 1-5 above) or obtained via solvent extraction and analysis via gas chromatography-mass spectrometry (GC-MS) at the School of Ocean and Earth Science, University of Southampton, UK. The biomarker data was then apportioned into plant, soil, and algal organic carbon using a three-end member mixing model (https://github.com/FluvialSeds/petm_mixing_model). Climate variables were obtained via several fully-coupled ocean-atmosphere climate model simulations. The climate model output was generated previously (see ref. 6) or obtained for this manuscript using the Hadley Centre model. The exact model configuration (HadCM3BL-M2.1Da) is described in detail in Valdes, P.J., et al (2017). Geosci. Model Dev., 2017. 10(10): p. 3715-3743.