This dataset contains single scanning electron microscopy images for fruits/seeds collected between 2014 and 2020 from fourteen plant species found in Brazilian Cerrado as an indication of seed structure, morphology and size. The work was supported by NE/T004851/1 NERC-FAPESP Seedcorn Fund Collaboration Project "Fire-adapted seed traits in Cerrado species" between RHUL (UK) and UNESP (Brazil). Full details about this dataset can be found at https://doi.org/10.5285/730086fd-80cd-4f44-8b13-b6168c07c7a8

The dataset comprises reconstructed temperature and tephra deposits age data from Yanou Lake, Fildes Peninsula, King George Island, South Shetland Islands. Data are calibrated to the 2020 radiocarbon calibration curves. The Antarctic and global glycerol dialkyl glycerol tetraether (GDGT) lipid biomarker temperature calibration are included. GDGT MSAT (mean summer air temperature) data was obtained by recalibrating the Pearson et al. (2011) global and Foster et al. (2016) Antarctic lake surface GDGT MSAT datasets. This dataset includes updates with new calibration of data originally published in Roberts et al. (2017). These revisions were funded as part of the IMCONet (FP7 IRSES, action no. 318718) program led by Doris Abele (AWI); the Natural Environment Research Council (NERC/BAS-CGS Grant no.81); the NERC/BAS science programmes CACHE-PEP: Natural climate variability - extending the Americas palaeoclimate transect through the Antarctic Peninsula to the pole and GRADES-QWAD: Quaternary West Antarctic Deglaciations.

This dataset contains atmospheric methane and carbon dioxide concentration data in the Southern Ocean and South Atlantic Ocean, and dissolved methane concentration data from surface and water column seawater samples in the Scotia Sea, Weddell Sea, and South Georgia shelf taken onboard RRS Discovery during DY158 from December 2022 and January 2023. Atmospheric methane and carbon dioxide concentration was measured using a Los Gatos Ultraportable Greenhouse Gas Analyser (UGGA) G2311-f. The concentrations are 2 hour averaged and have been filtered based on wind direction to data corresponding to wind coming from behind the ship to remove sources of pollution from the ship stack. Surface seawater samples were taken either using the uncontaminated seawater system or from the surface sample from a CTD (Conductivity-Depth-Temperature) cast. Water column seawater samples were taken from a CTD with Niskin bottle rosette-casts at various depths spanning from the sea surface to the seafloor. The dissolved methane concentration in each seawater sample is measured using gas chromatography. Funding source: This work was supported by the Natural Environment Research Council and the ARIES Doctoral Training Partnership (grant no. NE/S007334/1). The fieldwork was supported by the Collaborative Antarctic Science Scheme (CASS).

This dataset contains sea-air methane flux data from January 2019 to March 2021 measured using a Picarro G2311-f greenhouse gas analyser onboard RRS James Clark Ross, in the Southern Ocean, Arctic Ocean and Atlantic Ocean. The fluxes are 2 hour averaged and have been filtered based on wind direction to data corresponding to wind coming from behind the ship to remove sources of pollution from the ship stack. Limit of detection for the flux data are calculated for each cruise by multiplying the standard deviation of the random noise by three. This work was supported by the Natural Environment Research Council and the ARIES Doctoral Training Partnership (grant no. NE/S007334/1). Royal Holloway, University of London was funded by NERC through grants NE/V000780/1 and NE/N016211/1. Anna E. Jones and Katrin Linse were part of the British Antarctic Survey Polar Science for Planet Earth Programme funded by the Natural Environment Research Council (NERC) [NC-Science]. The measurements from the Royal Research Ship James Clark Ross (JCR) were principally supported by the UK Natural Environment Research Council's ORCHESTRA project (Grant No. NE/N018095/1). The Picarro analyser was funded by the European Space Agency funding (ESA AMT4OceanSatFlux project, Grant No. 4000125730/18/NL/FF/gp). This work further contributes to the NERC MOYA project (Grant No. NE/N015932/1).

The dataset comprises of sedimentological, geochemical, biological and chronological data from a sediment core record extracted from Kiteschsee Lake sediment, Fildes Peninsula, King George Island, South Shetland Islands. We undertook multi-proxy analyses (diatom, grain size, geochemical and sedimentological) on a 77 cm-long sediment record extracted from the flat-bottomed eastern basin depocentre of Kiteschsee Lake and compared data obtained with published lake records from the Fildes Peninsula. Data collected in this study were funded by: Centro de Investigaciones en Ciencias de la Tierra (CICTERRA), the Direccion Nacional del Antartico/Instituto Antartico Argentino (DNA/IAA) in the framework of the Project PICTA, 2011 - 0102, IAA "Geomorfologia y Geologia Glaciar del Archipielago James Ross e Islas Shetland del Sur, Sector Norte de la Peninsula Antartica"; the Alfred Wegener Institute (AWI) research program Polar regions and Coasts in a changing Earth System (PACES II); IMCONet (FP7 IRSES, action no. 318718); the Natural Environment Research Council (NERC/BAS-CGS Grant no.81); the NERC/BAS science programmes CACHE-PEP: Natural climate variability - extending the Americas palaeoclimate transect through the Antarctic Peninsula to the pole and GRADES-QWAD: Quaternary West Antarctic Deglaciations. We thank the crews of the Argentine research station "Carlini" and the adjoined German Dallmann-Labor (AWI) Laboratory, the Uruguayan research station "Artigas", the Russian Bellingshausen Station, the Chinese Great Wall Station, Base Presidente Eduardo Frei Montalva, the Brazilian Navy Almirante Maximiano, the UK Navy HMS Endurance and NERC/BAS James Clark Ross for logistical support during the 2006, 2011, 2014 and 2015 field seasons.

This dataset contains raw (clean but not interpreted) triaxial compressive strength data of tests conductive at elevated pressure and temperature as outlined in "Vannucchi, P., Clarke, A., de Montserrat, A., Ougier-Simonin, A., Aldega, L., & Morgan, J. P. (2022). A strength inversion origin for non-volcanic tremor. Nature Communications, 13(1), 2311. https://doi.org/10.1038/s41467-022-29944-8". The data is provided in a .zip folder containing the files of 5 experiments that are accompanied by a README file for introduction. Files format is Microsoft Excel Worksheet (.xlsx) and data are tabulated. Each file contains the corresponding relevant sample’s details, and each column of data is clearly labelled, units included. For each experiment, time, axial force, axial displacement, axial stress, confining displacement, confining pressure, axial strain A and B, axial average strain, circumferential extensometer, circumferential strain, volumetric strain, internal temperature, and axial delta P were recorded. Triaxial testing was undertaken using the MTS 815 servo-controlled stiff frame inside a vessel capable of a confining pressure up to 140 MPa at the Rock Mechanics and Physics Laboratory, British Geological Survey, UK. The confining cell is fitted with external heater bands and utilizing utilizes cascade control from internal and external thermocouples (accurate to ± 0.5°C). An initial axial pre-load of 2.3 kN was applied, to ensure a stable contact and alignment of the platens. The confining pressure vessel was then closed and filled with mineral oil confining fluid. The axial pre-load was maintained whilst the confining pressure was applied at 2 MPa/min to 60 or 120 MPa; these values were chosen to approximately bracket the pressures at the up-dip limit of seismic nucleation, corresponding to 2 – 4 km depth (Arroyo et al., 2014). At this point, whilst held in axial force and confining pressure control, the rig was heated at 2°C/min to 60°C to approximate the average temperature conditions at the depth of the up-dip limit of seismic nucleation (Harris and Spinelli, 2010). The samples were then left for approximately 1 hour allowing thermal equilibrium to be reached throughout the confining fluid and the samples. Once stable, axial loading was initiated in constant axial strain rate control at a rate of 5.0 x 10-6 s-1 until macroscopic failure occurred or a significant amount of post peak-stress axial strain was recorded (between 2% and 5%). We note that one test was conducted at the higher temperature of T=120°C with a result within 2.5% of the strength at T=60°C (Table 1). As this is below the expected sample-to-sample variability, no further temperature studies were conducted. The axial load, axial load actuator displacement, axial stress (s1), differential stress (Q=s1 - s3), confining pressure Pc (= s2= s3), confining pressure actuator displacement, axial strain (eax), circumferential strain (ecirc) and temperature were monitored throughout at sampling frequencies of 1s and 0.5kN. File names are: YYYY-MM-DD_LabProjectNumber_SiteName-SampleNumber

The data resource collates novel measurements of the rhenium isotope geochemistry of various materials measured between 2019 and 2024. The data were collected as part of NERC funded research (NE/T001119) aiming to constrain the behavior of the rhenium isotope system at Earth's surface. Sampling, analyses and data collation were undertaken at Royal Holloway, Durham University and the University of Oxford. The main outputs include: Table 1 - Measurements of Icelandic groundwaters and hydrothermal systems, samples collected in September 2021 from locations around Iceland, and analysed 2021-2023. Table 2 - Measurements on multiple shale weathering profiles from sites across the USA, New Zealand, collected in the 1990s (USA) and 2018 (New Zealand), and measured between 2020-2022. Table 3 - Rhenium isotope measurements on the Eagle Ford Shale, USA, collected in the 2010s and analysed between 2021-2024. Table 4 - Rhenium elemental and isotopic measurements in igneous rocks from Iceland (Helka magmatic evolution sequence collected in the 2000s and 2010s) and Mid-Ocean Ridge in Atlantic, Indian and Pacific Oceans and analysed in 2019-2024. Table 5 - Rhenium isotopes in river sediments and river waters of the northern Mackenzie River basin, Canada, delta region, including Peel and Arctic Red Rivers. Materials were collected between 2017 and 2018 and analysed in 2019. Table 6 - Rhenium isotope measurements on Jurassic aged sedimentary rocks from the MOCHRAS core. Materials were processed and analysed between 2022 and 2025. Together, these data provide a step change in our understanding of the rhenium isotope system and how it can be applied to understand pressing environmental science questions. Full details about this dataset can be found at https://doi.org/10.5285/a9bc6c28-cee5-4bf9-8539-d112c0a4c3d4

The data set comprises rhenium isotope compositions, rhenium concentrations, total organic carbon concentrations, and titanium concentrations measured from bulk rock digestions of the Eagle Ford Shale in South Texas, USA. The samples were obtained from coeval strata recovered in drill core Innes-1 and outcrop sections DR5 and DR12. The project aimed to compare the isotopic composition of Re before and after oxidative weathering. Rhenium concentrations were measured by isotope dilution, using liquid-liquid (alcohol) extraction and measurement by MC-ICP-MS. Rhenium isotopes were measured after a 3-stage column purification procedure using MC-ICP-MS. MC-ICP-MS measurements were made with the addition of a tungsten spike to correct for instrumental mass fractionation. Total organic carbon concentrations were measured by Rock-Eval pyrolysis (Rock-Eval VI) and Ti concentrations by ICP-AES.

This dataset contains information about how seeds collected from Brazilian Cerrado plant species germinate in smoke water and control water solutions. Seeds were collected from site across the Cerrado between 2013 and 2020. Germination was assessed in laboratory experiments by placing seeds on wet filter paper with water and smoke water solutions. Two different methods were used. One used a commercially available smokewater, Regen 2000 and the other used smoke water produced from burning biomass collected in central Brazil. Germination was counted daily by observing emergence of radicle from the seed. The work was supported by NE/T004851/1 NERC-FAPESP Seedcorn Fund Collaboration Project "Fire-adapted seed traits in Cerrado species" between RHUL (UK) and UNESP (Brazil). Full details about this dataset can be found at https://doi.org/10.5285/ad4e3224-4674-47a1-ad1a-80c1c109f20c