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DavisShip system (DShip) measurements in NetCDF format including weather station, thermosalinograph, ferrybox and navigation system gathered during Polarstern cruise PS147

The ship campaign PS147 (Atlantic Transit) with the German research vessel Polarstern took place from 12 March to 14 April 2025. The transit proceeded from Stanley, Falkland Islands, to Bremerhaven, Germany, with a stopover in Mindelo, Cape Verde, dividing the campaign into two sections, PS147/1 and PS147/2. During the voyage, several climate zones were crossed, including the Intertropical Convergence Zone (ITCZ). Here, we present data from the ship-integrated instruments within the DavisShip system (DShip), including meteorological parameters from the weather station as well as ship position and orientation from the navigation system. These data form part of a series of standardized datasets of atmospheric observations collected during the PS147 campaign.

Multibeam bathymetry processed data (Atlas Hydrosweep DS 3 echo sounder entire dataset) of RV POLARSTERN during cruise PS116, Atlantic Ocean

Multibeam data were collected during RV Polarstern cruise PS116 (2018-11-11 to 2018-12-11). Multibeam sonar system was Atlas Hydrographic Hydrosweep DS 3 multibeam echo sounder. Data are processed with Caris HIPS, including sound velocity correction with SV data from SVPs, UCTDs and World Ocean Atlas 13 (https://doi.org/10.7289/v5f769gt), tidal correction with TPXO9_atlas_v5 (https://www.tpxo.net), and manual cleaning. The soundings are combined in daily files, the format is XYZ ASCII (<Lon> <Lat> <Depth in meters, positive up, relative to mean sea level>). Additional blockmedian grids have been computed with depth dependent cell size to visualize the data. These grids are not meant for scientific analysis or navigation, but for overview purposes only.

Schwerpunktprogramm (SPP) 527: Bereich Infrastruktur - International Ocean Discovery Program, Teilprojekt: Periodisch auftretende 'Hyperthermals' des frühen Paläogen: Eine klimatische Besonderheit oder charakteristisches Merkmal von Treibhausklimaten?

Abrupte Erwärmungsereignisse gekoppelt an das Freisetzen von großen Mengen an Kohlendioxid in die Atmosphäre und die Ozeane treten vor allem im frühen Paläogen auf. Diese sogenannten 'Hyperthermals' zeigen viele der Eigenschaften des rezenten, menschengemachten Klimawandels, wie z.B. den schnellen Eintrag von organischem Kohlenstoff und eine rapide, globale Erwärmung. Diese Gemeinsamkeiten machen die 'Hyperthermals' zu einer häufig genutzten Analogie um die Mechanismen und Effekte von vergangenen Erwärmungsereignissen zu untersuchen und somit einen Test der vorhandenen, modellbasierten Vorhersagen durchzuführen. Weiterhin können diese Ereignisse genutzt werden, um aufzuzeigen, wie Ökosysteme mit dem schnellen Anstieg der CO2 Emissionen zurechtkommen. Neue Studien haben gezeigt, dass den periodisch wiederkehrenden 'Hyperthermals' des frühen Paläogen eine orbitale Steuerung des Kohlenstoffkreislaufes zugrunde liegt. Da dies ein zentraler Bestandteil des Klimasystems der Erde ist, sollten vergangenen Treibhausklimaten vergleichbare Mechanismen zugrunde liegen und daher 'Hyperthermals' auch in diesen auftreten. Bis zum heutigen Tag gibt es allerdings keine Studie, die das Auftreten von periodisch wiederkehrenden, orbital-gesteuerten 'Hyperthermals' außerhalb des frühen Paläogens belegt.Prinzipielle Fragestellung des vorliegenden Projektes ist daher, ob 'Hyperthermals' im Treibhausklima des Maastricht (späte Kreide) vorkommen oder nicht. Diese Frage soll durch die Erstellung von geochemischen Paläoklimaproxies für ein spezifisches Zeitintervall des Maastricht (67-68,5 Millionen Jahre) an zwei verschiedenen Kernen (IODP Site U1403 aus dem Atlantik und ODP Site 1210 aus dem Pazifik) erreicht werden. Datensätze, die im Rahmen dieses Projektes generiert werden, basieren auf der Geochemie benthischer Foraminiferen (Mg/Ca und stabile Isotope) und auf der Rekonstruktion des Karbonatgehaltes der untersuchten Sedimente unter Zuhilfenahme von wt Prozent CaCO3 Messungen und eines XRF Kernscanners. Je nach den gewonnenen Ergebnissen werden sich unterschiedlichen Erkenntnisse über die prinzipiellen Mechanismen aufzeigen, die einem Treibhausklima zugrunde liegen. Die so gewonnenen Informationen werden einen genauen Einblick in die Kontrollmechanismen von Treibhausklimaten ermöglichen und stellen darüber hinaus einen Test dar, ob 'Hyperthermals' eine gute Analogie für unser Verständnis der zukünftigen Klimaerwärmung und ihrer Auswirkungen sind. Zusätzlich werden die Daten einen Vergleich der grundlegenden Mechanismen hinter den auftretenden 'Hyperthermals' (wenn sie denn im Maastricht existieren) in zwei unterschiedlichen Treibhausklimaten erlauben: dem frühen Paläogen mit seinen bekannten 'Hyperthermals' und der späten Kreide.

Dissolved major element (Ca, Sr, Mg, K, Li) concentration data of the western Atlantic Ocean meridional section GA02 (GEOTRACES) and Arctic Ocean cruise JR271 (BODC)

This dataset presents salinity-normalized dissolved major element (Ca, Mg, K, Sr, Li) concentrations in the western Atlantic Ocean and the Arctic Ocean. Atlantic samples were collected along the western meridional GEOTRACES section GA02 comprised of cruises JR057 (Punta Arenas (Chile) 02-03-2011 to Las Palmas (Spain) 06-04-2011 ), PE321 (Bermuda 11-06-2010 to Fortaleza (Brazil) 08-07-2010), PE319 (Scrabster 28-04-2010 to Bermuda 25-05-2010), and PE358 (Reykjavik (Iceland) 29-07-2012 to Texel (Netherlands) 19-08-2012). Samples for dissolved major ions were sub-sampled from trace metal sample collection stored at the Royal Netherlands Institute for Sea Research (NIOZ). Samples for the Arctic Ocean were collected on BODC cruise JR271 (Immingham 01-06-2012 to Reykjavik 02-07-2012). Samples were analysed for Na, Ca, Mg, K, Li and Sr using a Varian-720 ES ICP-OES. Samples were diluted by a factor of 78-82 in 0.12 M HCl to the same final salinity. Multiple spectral lines were selected for each element, and samples were corrected for instrumental drift by sample-standard bracketing with IAPSO P157 diluted to the same final salinity. Calibration was performed on 7 dilutions of IAPSO P157. Element-to-sodium ratios were calculated for all combinations of spectral lines. Assuming a constant Na-to-salinity (PSU)=35 ratio, the element/Na ratios were multiplied by 0.46847 µmol kg-1 to obtain the salinity (PSU)-normalized element concentration, and by the ratio of practical to absolute salinity (TEOS-10). The TEOS-10 absolute salinities were calculated from EOS-80 values using the Gibb's Oceanographic Toolbox using the R package 'gsw' (v 1.1-1).

Modeled environmental data-layers and changes predicted under RCP2.6, 4.5 and 8.5 for the deep Atlantic Ocean

The data layers provided show current values for seawater temperature, pH, calcite and aragonite saturation (%), oxygen concentration, and particulate organic carbon (POC) flux to the seafloor at different depths (500, 1000, 2000, 3000, and 4000m) at the present day (1951-2000) and changes in these variables expected between 2041-2060 and 2081-2100 under different RCP scenarios. The data layers were generated following the methods described in Levin et al. (2020). In short, in 2019, we obtained the present day and future ocean projections for the different years which were compiled from all available data generated by Earth Systems Models as part of the Coupled Model Inter-comparison Project Phase 5 (CMIP5) to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Three Earth System Models, including GFDL‐ESM‐2G, IPSL‐CM5A‐MR, and MPI‐ESM‐MR were collected and multi-model averages of temperature, pH, O2 , export production at 100-m depth (epc100), carbonate ion concentration (co3), and carbonate ion concentration for seawater in equilibrium with aragonite (co3satarg) and calcite (co3satcalc) were calculated. The epc100 was converted to export POC flux at the seafloor using the Martin curve (Martin et al., 1987) following the equation: POC flux = export production*(depth/export depth)0.858. The export depth was set to 100 m, and the water depth using the ETOPO1 Global Relief Model (Amante and Eakins, 2008). Seafloor aragonite and calcite saturation were computed by dividing co3 by co3satarg and co3satcalc. All variableswere reported as the inter-annual mean projections between 1951-2000, 2041-2060, and 2081-2100. The data for calcite and aragonite saturation can be found in Morato et al. (2020).

Column water vapour (CWV) measurements in NetCDF format retrieved from GNSS antenna gathered during Polarstern cruise PS147

The ship campaign PS147 (Atlantic Transit) with the German research vessel Polarstern took place from 12 March to 14 April 2025. The transit proceeded from Stanley, Falkland Islands, to Bremerhaven, Germany, with a stopover in Mindelo, Cape Verde, dividing the campaign into two sections, PS147/1 and PS147/2. During the voyage, several climate zones were crossed, including the Intertropical Convergence Zone (ITCZ). Here, we present the column water vapour retrieved from GNSS data. These data form part of a series of standardized datasets of atmospheric observations collected during the PS147 campaign.

Mean Deep Ocean volume-weighted stacks

Mean Deep Ocean stacked records weighted by ocean basin volume are also provided for: benthic δ18O, MDOT and δ18Oseawater and compiled from records described for the non-weighted stacks. The weighted stacks were created using basin weights defined using fixed deep ocean volume fractions following the volumetric approach of Lisiecki and Stern (2016) (see their Table S2), and renormalised to unity at each time step to reflect the ocean volume represented by the available records.

Atlantic, Pacific and Mean Deep Ocean temperature and δ¹⁸Oseawater stacks

Stacked deep-water (>2500m) deconvolved benthic Mg/Ca–δ18O records spanning the past 1.5 Myr for: the North Atlantic comprising IODP Site U1385 [Uvigerina peregrina and Globobulimina affinis] and DSDP Site 607 [Cibicidoides wuellerstorfi, Oridorsalis umbonatus, and Uvigerina spp.] (Sosdian and Rosenthal, 2009; Ford et al., 2016); the Pacific incorporating ODP Sites 1123 [Uvigerina spp.] (Elderfield et al., 2012) and Site 1208 [Uvigerina spp.] (Ford and Raymo, 2020); and, Mean Deep Oceans including all of the above plus ODP Site 1094 [Melonis pompilioides] (Hasenfratz et al., 2019). To investigate changes in abyssal ocean density stratification across the Middle Pleistocene Transition estimates of deep-water temperature and δ18Oseawater were generated with error propagation using PSU Solver in MATLAB (Thirumalai, Quinn and Marino, 2016). PSU Solver-derived δ18O, temperature and δ18Oseawater records for each site were interpolated on a 3 kyr interval and bootstrapped. Stacks were manually created by first identifying gaps in each site's original data and then averaging the means and errors across each age interval.

Atmospheric measurements gathered during Polarstern cruise PS147

The ship campaign PS147 (Atlantic Transit) with the German research vessel Polarstern took place from 12 March to 14 April 2025. The transit proceeded from Stanley, Falkland Islands, to Bremerhaven, Germany, with a stopover in Mindelo, Cape Verde, dividing the campaign into two sections, PS147/1 and PS147/2. During the voyage, several climate zones were crossed, including the Intertropical Convergence Zone (ITCZ). Here, we present a series of standardised data sets of the atmospheric observations gathered during the PS147 campaign.

Multibeam bathymetry processed data (Atlas Hydrosweep DS 2 echo sounder entire dataset) of RV POLARSTERN during cruise ANT-XVIII/1 (PS58), Atlantic Ocean

Multibeam data were collected during RV Polarstern cruise ANT-XVIII/1 (2000-09-29 to 2000-10-23). Multibeam sonar system was Atlas Hydrographic Hydrosweep DS 2 multibeam echo sounder. Data are processed with Caris HIPS, including sound velocity correction by cross fan calibration, tidal correction with TPXO9_atlas_v5 (https://www.tpxo.net), and manual cleaning. The soundings are combined in daily files, the format is XYZ ASCII (<Lon> <Lat> <Depth in meters, positive up, relative to mean sea level>). Additional grids have been computed with depth dependent cell size to visualize the data. These grids are not meant for scientific analysis or navigation, but for overview purposes only.

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