This dataset contains cloud images from the NCAS Camera 11, one of two identical cameras (designated as ncas-cam-11 and ncas-cam-12) captured at various sites around the Magdalena Mountains, New Mexico, USA, as part of the Deep Convective Microphysics Experiment (DCMEX). DCMEX examined the formation and development of clouds over mountains during July and August 2022. These cameras were designed to take simultaneous images of the same object while placed a distance apart to create a stereo image, but this was not always possible; on some days only one camera was used or the two cameras were deployed in separate locations. The images from this camera were taken during the duration of the DCMEX campaign of clouds from a range of sites. These are accompanied by similar images from a sibling camera (see connected dataset). Where the two cameras were operated at the same site they were synchronised in terms of camera settings (exposure, etc) and camera pointing directions to facilitate the onward use of images as stereoscopic imagery. For those latter instances files have been marked with stereo-a or stereo-b within the filename to denote where the images form the left of right image for such images. Other images do not contain these additional filename fields to denote when the cameras were used in stand-along mode. Note, due to the nature of coordinating images between the two cameras one was designated as the primary camera from which the settings were then conveyed to the secondary camera by the coordinating software. As a result exact image synchronisation wasn't possible and thus the secondary camera image may have a timestamp that is a second or so later.

Contains location and associated parameter information for microseismicity detected in the Reykjanes peninsula between June 2020 and August 2021. Primary detection and location carried out using Quakemigrate. Template matching used to find very small magnitude events. GrowClust used to obtain accurate relative relocations. Local magnitudes of events also computed. Data from a total of 42 stations were used for the detection and location process. Repository also includes the 1-D velocity model used for the relocation.

The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC-ES2H model output for the "abrupt quadrupling of CO2" (abrupt-4xCO2) experiment. These are available at the following frequency: Amon. The runs included the ensemble members: r1i1p1f2, r1i1p2f2, r1i1p3f2 and r1i1p4f2. CMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6). The official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record. The the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI).

The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the "historical total ozone-only run" (hist-totalO3) experiment. These are available at the following frequencies: Amon, Emon, EmonZ, LImon, Lmon, Omon, SImon and day. The runs included the ensemble members: r11i1p1f3, r12i1p1f3, r13i1p1f3, r14i1p1f3, r15i1p1f3, r16i1p1f3, r17i1p1f3, r18i1p1f3, r19i1p1f3, r20i1p1f3, r21i1p1f3, r22i1p1f3, r23i1p1f3, r24i1p1f3, r25i1p1f3, r26i1p1f3, r27i1p1f3, r28i1p1f3, r29i1p1f3 and r30i1p1f3. CMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6). The official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.

Input data for Figure 2.16 from Chapter 2 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6). Figure 2.16 provides global precipitation minus evaporation trend maps and time series from a variety of data sources --------------------------------------------------- How to cite this dataset --------------------------------------------------- When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates: Gulev, S.K., P.W. Thorne, J. Ahn, F.J. Dentener, C.M. Domingues, S. Gerland, D. Gong, D.S. Kaufman, H.C. Nnamchi, J. Quaas, J.A. Rivera, S. Sathyendranath, S.L. Smith, B. Trewin, K. von Schuckmann, and R.S. Vose, 2021: Changing State of the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change[Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 287–422, doi:10.1017/9781009157896.004. --------------------------------------------------- Figure subpanels --------------------------------------------------- The figure has four panels, with input data provided for all panels in the main directory --------------------------------------------------- List of data provided --------------------------------------------------- The datasets contains: - Global precipitation and evaporation data from ERA5 reanalysis - Time series of global, land-only and ocean-only average annual P–E (mm day–1) from the following reanalysis products: 20CRv3, ERA5, ERA20CM, MERRA, CFSR, ERA20C, JRA55 and MERRA2. --------------------------------------------------- Data provided in relation to figure --------------------------------------------------- Panel a: - Data files: IntermediateData_era5_evap_2.nc and era5_tp_2.nc Panel b: - Data file: GPME2.csv and GPME2.mat Panel c: - Data file: LPME2.csv and LPME2.mat Panel d: - Data file: OPME2.csv and OPME2.mat For panels b to d: I.     Column 2: orange solid line II.    Column 3: cyan solid line III.   Column 4: black solid line IV.   Column 5: grey solid line V.    Column 6: blue solid line VI.   Column 7: dark green solid line VII.  Column 8: brown solid line VIII. Column 9: green solid line 20CRv3 is the NOAA-CIRES-DOE Twentieth Century Reanalysis Version 3. ERA5 is a reanalysis of the global climate from 1950 to present, developed by ECMWF. ERA20CM is a twentieth century atmospheric model ensemble developed by ECMWF. MERRA stands for Modern-Era Retrospective analysis for Research and Applications. CFSR stands for Climate Forecast System Reanalysis. ERA20C is the first atmospheric reanalysis of the 20th century, from 1900-2010, developed by ECMWF. JRA55 stands for Japanese 55-year Reanalysis. MERRA2 stands for Modern-Era Retrospective analysis for Research and Applications, version 2. --------------------------------------------------- Notes on reproducing the figure from the provided data --------------------------------------------------- Additional information to correctly reproduce the figure in the corresponding readme files for code archived on Zenodo (see the link to code provided in the Related Documents section of this catalogue record). --------------------------------------------------- Sources of additional information --------------------------------------------------- The following weblinks are provided in the Related Documents section of this catalogue record: - Link to the figure on the IPCC AR6 website - Link to the report component containing the figure (Chapter 2) - Link to the Supplementary Material for Chapter 2, which contains details on the input data used in Table 2.SM.1 - Link to the code for the figure, archived on Zenodo.

RINEX files of GPS observations obtained in the Uturuncu volcano and surroundings (Altiplano-Puna Deformation Anomaly) during the November 2018 and November 2022 campaigns. In the 2018 and 2022 campaigns, 8 and 10 GPS stations have been installed respectively to help constrain the temporal deformation at Uturuncu volcano. The data contains the GNSS observations made in the 2018 campaign at the stations of Depeche Mode (DEMO), Foo Fighters (FOOF), Jimmy (JIMY), Led Zeppelin (LDZP), Metallica (MTLC), Sex Pistols (SEXP), UBQ4 and UTU Base (UBAS) In the 2022 campaign at the stations of Depeche Mode (DEMO), Foo Fighters (FOOF), IGGY, Jimmy (JIMY), Led Zeppelin (LDZP), Metallica (MTLC), Nirvana (NRVN), Offspring (OFSP), Sex Pistols (SEXP) and UTU Base (UBAS) The following devices were used to obtain these data: -Receiver Leica GR30 (serial numbers 1705008, 1705617 and 1705619) -Antenna Leica AS10 (serial numbers 16071044 and 16151018) -Integrate antenna + receiver Topcon Hiper Pro (serial numbers 326-1106 and 342-0370) -Masts "Nysiros style" and UNAVCO single pin + masts. The duration of data collection ranges from 1 day to 6 days depending on the site of the collection.

We examine the role of cement on compaction band formation by performing triaxial tests on three sandstones, Bentheim, Castlegate and a synthetic sandstone which possess very similar porosities (~26-29%) and grain sizes (~230-300 µm), but which are cemented differently, with syntaxial quartz overgrowths, clay, and amorphous quartz cement respectively. Each sample was taken to 5% axial strain at a starting effective stress equivalent to 85% of its hydrostatic yield (P*) value, which were identified from yield under hydrostatic loading. These data for the 3 samples are presented as matlab data files. Post-deformation, each of the 3 cores underwent backscatter SEM and subsequent image analysis to examine any localised variations in porosity and grain size. These data are presented as csv files. Discrete bands form in each of the 3 sandstones but are distributed differently across each sample. Our results suggest that cement type plays a significant role in the micromechanics of deformation within each of the sandstones, which in turn, determines where the compaction bands nucleate and develop. These results may provide a starting point to investigate the role of cement on compaction localisation further.

Qualitative abundance data from micropalaeontological residues from International Ocean Discovery Program Sites U1554, U1555, U1562, U1563 and U1564. Data represents abundance and preservation state of planktonic foraminifera and other sedimentary components from washed residues sieved at > 63 microns. Relative abundances and counts of left and right coiling ratios of selected species of planktonic foraminifera are recorded.

Macrostrat.org is a live database project collecting geochemical, geospatial, and geochronological data associated with specific rock units within stratigraphic columns with a geographic footprint. The data in Macrostrat is an aggregate of previously reported measurements in the literature. The database is constantly updated, expanded, and improved. Hence, data are archived (5-2-23) in this file for posterity in support of the manuscript titled "Evolution of the crustal phosphorus reservoir" (Walton et al., 2023). In all measurements in the data file: ages are in millions of years (Ma) and elemental compositions are in wt%. Further details of all definitions and standards in Macrostrat data reporting are permanently available at https://macrostrat.org/api/defs. Macrostrat data are useful for weighting geochemical data by the relative areal and volume abundance of the rock units from which they derive, helping to address questions of (over/under) sampling-induced bias. Data in these files represent direct exports from Macrostrat.org via the API root, supplemented with data from Reinhard et al (2017). Unit areal extents for data from Reinhard et al 2017) are approximated with the relevant Eon average from Macrostrat.org. Macrostrat.org is maintained by Shanan Dr Peters, Dr Daven Quinn, and the hard work of many others (https://macrostrat.org/#people).

This dataset contains raw experimental triaxial testing data as outlined in "Castagna, A., Ougier‐Simonin, A., Benson, P. M., Browning, J., Walker, R. J., Fazio, M., & Vinciguerra, S. (2018). Thermal damage and pore pressure effects of the Brittle‐Ductile transition in Comiso limestone. Journal of Geophysical Research: Solid Earth, 123(9), 7644-7660.s, http://dx.doi.org/10.1029/2017JB015105". The data is provided in a .zip folder containing the files of 16 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, radial and axial pumps volume displacements and pressures, top and bottom pore fluid pumps volume displacements and pressures, internal temperature, LVDT signals were recorded. Twenty right cylindrical samples of ‘Comiso’ limestone (Ragusa Formation; Sicily) were tested in triaxial compression at a range of confining pressures simulating depths of 290 m, 620 m, 1.2 km, and 2.0 km respectively, assuming an average density of the over-burden load of 2470 kg/m3. Prior to strength test, each sample was either oven dried (ca. 12 hours at 85 °C followed by cooling in a desiccator for 1 hour) or water saturated (samples in distilled water under vacuum for 24 hours). A subset of these samples has also been thermally treated at 150, 300, 450 and 600oC to induce thermal cracking prior to the mechanical testing. All tests were conducted at 10-5 s-1 axial strain rate in assumed drained conditions when relevant, and at room temperature. For saturated tests, the initial loading was applied in two steps, first by increasing Pc hydrostatically (σ1=σ2=σ3) until the desired confining pressure was reached, and then introducing pore fluid pressure, as per the functionality of the experimental set-up. The experiments were conducted by Drs A. Castagna, M. Fazio and P. Benson using the Snachez triaxial cell at the Rock Mechanics Laboratory of the University of Portsmouth. All responsible for the collection and initial interpretation of the data. Only 17 experiments are reported in this set of data; the missing 3 datasets are believed to be only available on the local computer storage of the triaxial apparatus used at that time.