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  • 1
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    Soil moisture response, stable water isotope profiles, and trinary images of vertical subsurface flow paths across the evolution of siliceous and calcareous soil in proglacial areas (2024)
    GFZ Data Services
    Details
    Publication Date: 2024-01-22
    Description: Abstract
    Description: The data set was collected to identify hydrological processes and their evolution over it time. It consists of several individual files in tabstop delimeted text format. The data set contains the data obtained from deuterium and brilliant blue tracer experiments at two chronosequence studies in the glacier forefield of the Stone Glacier and the Griessfirn in the central Alps, Switzerland. Each chronosequence consisted of four moraines of different ages (from 30 to 13500 years). At each forefield sprinkling experiments with deuterium and dye tracer experiments with blue dye (Brilliant Blue) were conducted on three plots per moraine. The moraines at the forefield of the Stone Glacier developed from siliceous parent material and at the forefield of the Griessfirn from calcareous parent material. Data from the siliceous forefield are marked with (S) and data from the calcareous forefield are marked with (C). The data set consist of soil moisture time series and soil water isotope profiles of the sprinkling experiments with deuterium, as well as trinary images of stained vertical subsurface flow paths from the dye tracer experiment. The individual plots per moraine are distinguished via their position relative to one another on the moraine (left, middle, and right, looking upslope). The plots used for the sprinkling experiments were located in close vicinity to the plots used for the dye tracer experiments. For the sprinkling experiments with deuterium each plot (4m x 6m) per age class was equipped with 6 soil moisture sensors. Three of these sensors were installed as a sensor profile at one side of the plot about one meter downslope from the upper plot boundary. The sensors were installed at 10, 30, and 50 cm soil depth. On the other side of the plot, two sensors were placed in 10 cm depth, one opposite to the sensor profile and the second sensor one meter upslope from the lower plot boundary. The sixth sensor was placed at 10 cm depth in the center of the plot. The plots were irrigated on three consecutive days with three different irrigation intensities and deuterium concentrations. Per forefield, the soil moisture data are listed in one file per age class. The file contains for each plot, the time stamp and the soil moisture values of the 6 sensors.
    Keywords: Landscape Evolution ; Chronosequence Study ; Proglacial moraines ; Flow paths ; Soil moisture ; EARTH SCIENCE 〉 AGRICULTURE 〉 SOILS 〉 SOIL MOISTURE/WATER CONTENT ; EARTH SCIENCE 〉 LAND SURFACE 〉 LANDSCAPE 〉 LANDSCAPE PROCESSES ; EARTH SCIENCE 〉 LAND SURFACE 〉 SOILS 〉 SOIL INFILTRATION
    Type: Dataset , Dataset
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  • 2
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    A decade of short-period earthquake rupture histories from multi-array back-projection (2024)
    GFZ Data Services
    Details
    Publication Date: 2024-01-26
    Description: Abstract
    Description: Teleseismic back-projection imaging has emerged as a powerful tool for understanding the rupture propagation of large earthquakes. However, its application often suffers from artifacts related to the receiver array geometry. We developed a teleseismic back-projection technique that can accommodate data from multiple arrays. Combined processing of P and pP waveforms may further improve the resolution. The method is suitable for defining arrays ad-hoc to achieve a good azimuthal distribution for most earthquakes. We present a catalog of short-period rupture histories (0.5-2.0 Hz) for all earthquakes from 2010 to 2022 with Mw {greater than or equal to} 7.5 and depth less than 200 km (56 events). The method provides automatic estimates of rupture length, directivity, speed, and aspect ratio, a proxy for rupture complexity. We obtained short-period rupture length scaling relations that are in good agreement with previously published relations based on estimates of total slip. Rupture speeds were consistently in the sub-Rayleigh regime for thrust and normal earthquakes, whereas a tenth of strike-slip events propagated at supershear speeds. Many rupture histories exhibited complex behaviors, e.g., rupture on conjugate faults, bilateral propagation, and dynamic triggering by a P wave. For megathrust earthquakes, ruptures encircling asperities were frequently observed, with down-dip, up-dip, and balanced patterns. Although there is a preference for short-period emissions to emanate from central and down-dip parts of the megathrust, emissions up-dip of the main asperity are more frequent than suggested by earlier results. The data are presented as follows (and described in detail in the associated README): SUPPORTING DATA SET S1 (2024-001_Vera-et-al_Supporting-Data-S1.zip) This Data Set (S1) consists of *.bp files containing (1) short-period earthquake rupture patterns, (2) energy radiated maps, and (3) source time functions derived from back-projections (0.5-2.0 Hz). The Data Set S1 includes 56 folders, representing 56 processed earthquakes between 2010 and 2022 with a moment magnitude (Mw) greater than or equal to 7.5 and a depth less than 200 km. These folders are labeled in the format YYYYMMDDhhmm_EVENT_NAME_REGION (UTC) in *.bp format. SUPPORTING DATA SET S2 (2024-001_Vera-et-al_Supporting-Data-S2.csv) This Data Set (S2) comprises a *.csv file containing earthquake source information used in the back-projection and the resulting rupture parameter estimates based on **visually determined** rupture end times. The *.csv file includes rupture parameter estimates for each of the 56 earthquake back-projections presented in Data Set S1. SUPPORTING DATA SET S3 (2024-001_Vera-et-al_Supporting-Data-S3.csv) This Data Set (S3) comprises a *.csv file containing earthquake source information used in the back-projection and the resulting rupture parameter estimates based on **automatic** rupture end times. Note: The main difference from Data Set S2 is that rupture parameter estimates in S3 are derived from **automated** rupture end times, whereas S2 provided estimates relative to **visually determined** rupture end times.
    Keywords: teleseismic back-projection ; large earthquakes ; megathrust earthquakes ; complex ruptures ; supershear ruptures ; earthquake rupture catalog ; EARTH SCIENCE 〉 HUMAN DIMENSIONS 〉 NATURAL HAZARDS 〉 EARTHQUAKES
    Type: Dataset , Dataset
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  • 3
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    Long-term CO2 and CH4 flux measurements and associated environmental variables from a rewetted peatland (2024)
    GFZ Data Services
    Details
    Publication Date: 2024-01-29
    Description: Abstract
    Description: The data provided here is an exemplary dataset for the flux site Zarnekow from one year (2018). The complete dataset that is needed to run the codes for all the years can be obtained from the European Fluxes Database Cluster under site ID DE-Zrk (Sachs et al., 2016) or provided upon request. This repository is intended to provide the necessary MATLAB and R code to reproduce the results by Kalhori et al. (2024). The data are provided as zip folder containing (1) a csv file with associated definition of variables and units (file: 2023-004_Kalhori-et-al_README_2018_units.txt), (2) a shapefile (file: 2023-004_Kalhori-et-al_2018_LAiV_DOP.shp) and (3) a Geotiff (file: 2023-004_Kalhori-et-al_2018_LAiV_DOP.tiff). In addition, we provide a second zip folder containing the data that produced the figures of the related article (Kalhori et al., 2024, https://doi.org/10.1038/s43247-024-01226-9).
    Keywords: carbon dioxide emission ; CO2 emission ; methane emission ; CH4 emission ; peatland ; wetland ; eddy covariance ; rewetting ; emission factor ; mitigation ; EARTH SCIENCE 〉 BIOSPHERE 〉 TERRESTRIAL ECOSYSTEMS 〉 WETLANDS 〉 PEATLANDS ; In Situ Land-based Platforms 〉 GROUND-BASED OBSERVATIONS
    Type: Dataset , Dataset
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  • 4
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    Acoustic Emission and Seismic moment tensor catalogs associated with triaxial stick-slip experiments performed on Westerly Granite samples (2024)
    GFZ Data Services
    Details
    Publication Date: 2024-01-29
    Description: Abstract
    Description: The dataset contains source parameters of acoustic emission (AE) events recorded during triaxial friction (stick-slip) experiments performed on the Westerly Granite sample WgN05. In addition we provide raw waveform data of AE events recorded in triggered mode with a network of 16 AE sensors. Basic seismic catalog associated with the stick-slip experiment contains origin time, hypocentral location in local Cartesian coordinate system of the sample (with associated uncertainties), and AE-derived magnitude. In addition, for a subset of AEs we provide full moment tensors. This catalog include information on fault parameters (strike, dip and rake of the two nodal planes), percentage of isotropic, compensated linear vector dipole and double-couple components of the full moment tensor, P, T, B axes orientations in the coordinate system of the sample, uncertainty assessment, as well as the six independent moment tensor components. Finally, we provide a time series of axial stress values as presented in the Kwiatek et al. (2023) as well as the coordinates of the AE sensors. The catalog and parametric data is supplemented with the raw waveform recordings stored in HDF5 format from 16 acoustic emission sensors placed on the surface of the sample.
    Keywords: acoustic emission ; rock mechanics ; earthquake precursors ; stick-slip ; earthquake preparation ; seismomechanics ; intermittent criticallity ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 EARTHQUAKES 〉 EARTHQUAKE OCCURRENCES ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 EARTHQUAKES 〉 EARTHQUAKE PREDICTIONS ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 EARTHQUAKES 〉 SEISMIC PROFILE 〉 SEISMIC BODY WAVES ; hazard ; hazard 〉 natural hazard ; monitoring 〉 seismic monitoring ; physical property 〉 inversion ; physical property 〉 pressure ; physical property 〉 rock mechanics
    Type: Dataset , Dataset
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  • 5
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    Rewetted Peatland_GHG analysis Code: software packages (R and Matlab) for the calculation of greenhouse gas (GHG) fluxes at a rewetted peatland (2024)
    GFZ Data Services
    Details
    Publication Date: 2024-01-29
    Description: Abstract
    Description: This publication provides the codes produced for the article "Temporally dynamic carbon dioxide and methane emission factors for rewetted peatlands. Nature Communications Earth and Environment" by Aram Kalhori, Christian Wille, Pia Gottschalk, Zhan Li, Josh Hashemi, Karl Kemper, and Torsten Sachs (https://doi.org/10.1038/s43247-024-01226-9). In the article, the authors estimate the cumulative GHG emissions of a rewetted peatland in Germany using the long-term ecosystem flux measurements. They observe a source-to-sink transition of annual carbon dioxide (CO2) fluxes and decreasing trend of methane (CH4) emissions. This software is written in R and MATLAB. Running the codes ([R files and .m files](Code)) and loading the data files ([CSV files and .mat files](Data)) requires the pre-installation of [R and RStudio] (https://posit.co/downloads/) and ([MATLAB]. The RStudio 2022.07.2 Build 576 version has been used for the R scripts. The land cover classification work was performed in QGIS, v.3.16.11-Hannover. Data were analyzed in both MATLAB and R and plots created with R (R Core Development Team 2020) in RStudio®. The following external packages are required to be incorporated into the codes in order to run the provided codes: "zyp" package; "missForest" package;"REddyProc" package and explained in detail in the README. Files: Codes/Kalhori2023_SenSlopes_fig2.r "zyp" package, Maintainer David Bronaugh 〈bronaugh@uvic.ca〉 Depends R (〉= 2.4.0), Kendall License: LGPL-2.1 https://CRAN.R-project.org/package=zyp Files: Codes/Kalhori2023_gapfillingMF_validation_figSI1.r "missForest" package, Maintainer Daniel J. Stekhoven 〈stekhoven@stat.math.ethz.ch〉 Depends randomForest,foreach,itertools License: GPL (〉= 2) https://www.r-project.org, https://github.com/stekhoven/missForest Files: Codes/Kalhori2023_NEEpartitioning.r "REddyProc" package, Maintainer Thomas Wutzler 〈twutz@bgc-jena.mpg.de〉 Depends R (〉= 3.0.0), methods Imports Rcpp, dplyr, purrr, rlang, readr, tibble, magrittr, solartime, bigleaf (〉= 0.7) License: GPL (〉= 2) https://cran.r-project.org/web/packages/REddyProc/index.html Data are provided as .shp, CSV or text files. The MATLAB scripts for footprint calculation and the R scripts used for gapfilling (missForest) and flux partitioning (REddyProc) are also included.The full description of the data and methods is provided in the manuscript.
    Description: Other
    Description: GNU GENERAL PUBLIC LICENSE Version 3, 29 June 2007 Copyright (C) 2023 Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences, Potsdam, Germany (Aram Kalhori). Kalhori2023_Rewetted Peatland_GHG Analysis is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, version 3 of the License. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Affero General Public License for more details. You should have received a copy of the GNU General Public License along with this program. If not, see 〈https://www.gnu.org/licenses/〉.
    Keywords: carbon dioxide emission ; CO2 emission ; methane emission ; CH4 emission ; peatland ; wetland ; eddy covariance ; rewetting ; emission factor ; mitigation ; EARTH SCIENCE 〉 BIOSPHERE 〉 TERRESTRIAL ECOSYSTEMS 〉 WETLANDS 〉 PEATLANDS ; In Situ Land-based Platforms 〉 GROUND-BASED OBSERVATIONS
    Type: Software , Software
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  • 6
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    Soil and spring water gas data from an area with natural hydrogen (H2) degassing, NW Pyrenean foreland, France (2024)
    GFZ Data Services
    Details
    Publication Date: 2024-01-30
    Description: Abstract
    Description: This data set contains the results from a 2023 GFZ Innovative Research Expedition project to explore for natural hydrogen gas (H2) occurrences in the NW Pyrenean foreland, near the town of Biarritz in France. The data represent in-situ measurements of soil and spring water gas, as well as in-situ spring water property measurements, complemented with laboratory analysis results of gas contents and noble gas isotopic compositions of gas and spring water samples collected during the expedition. This GFZ Innovative Research Expedition was inspired by previous exploration efforts in the region by Lefeuvre et al. (2021, 2022). These authors detected elevated concentrations of natural H2 gas in the soil and interpreted this natural H2 to be derived from serpentinizing mantle rocks below the Pyrenees. The main aims of this expedition were the following: (1) in-situ measuring soil gas contents and taking soil gas samples for laboratory analysis at a site near the town of Peyrehorade in the NW of the general study area of Lefeuvre et al. (2021), thus improving the soil gas data coverage along the NW end of the North Pyrenean Frontal Thrust (NPFT); (2) taking gas samples from degassing springs (or water samples from non-degassing springs to be degassed in the lab) in the general Lefeuvre et al. (2021) study area for additional laboratory analysis of gas contents and noble gas isotopic compositions, which may be indicative of (deep) gas origins; and (3) performing a detailed soil gas analysis by means of a portable mass spectrometer at Sauveterre-de-Béarn, a site along the NPFT where Lefeuvre et al. (2022) measured elevated concentrations of natural H2 in the soil. Furthermore, we also measured the properties of the visited springs (temperature, pH, conductivity) while on site, and performed additional in-situ soil gas measurements from manual drillholes. Details on the measurement and sampling methods, on the laboratory analyses, as well as the results of these measurements and analyses are provided in the data description file The expedition involved six field days in July 2023, during which a total of 26 sites were visited. These sites were selected for their vicinity near a major geological contact or fault zone that could have facilitated upward circulation of gas or (thermal) water from the (deep) subsurface (i.e., potentially from the mantle).
    Type: Dataset , Dataset
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  • 7
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    CRM-geothermal - geochemical results of drill core material, scaling and salt precipitates at Tuzla, Seferihisar and Dikili geothermal sites, Eastern Turkey (2024)
    GFZ Data Services
    Details
    Publication Date: 2024-01-30
    Description: Abstract
    Description: The EU funded project CRM-geothermal aims to establish an overview of the potential for critical raw materials (CRM) in geothermal fluids across the EU and third countries (Ref). Within this framework, the geothermal sites of Tuzla, Seferihisar and Dikili in eastern Turkey have been visited in March 2023. To estimate the potential of CRM at these sites, a comprehensive sampling program was performed. Rock samples (drill gravel) of the production borehole and scaling from gas-water separators were obtained. Furthermore, sampling of geothermal fluids (gas and brine) and precipitates (salt) along the production line was performed. Here, the results of the geochemical analyses of solid sample materials (drill gravel, scales and salt) are presented. All analyses were performed in the ElMiE-Lab (Elements and Minerals of the Earth Laboratory) at German Research Centre for Geosciences Potsdam, Germany (https://labinfrastructure.geo-x.net/laboratories/8). For their major and minor element compositions, bulk samples of drill gravel and scales were analyzed with XRF and ICP-MS, respectively. Salt precipitates were analyzed for dry loss and mineral composition using XRD.
    Description: Methods
    Description: Sampling of drill gravel: Drill core gravel from Tuzla geothermal site was obtained from existing samples taken during drilling in 2010. For the analyses, three samples of the geothermal reservoir horizon at different depth and from two different drill holes were chosen. Sampling of scales: Scales were sampled during geothermal power plant maintenance in 2023 in Tuzla and in 2022 in Seferihisar. It was analyzed from all water-gas separators from the three drill holes in Tuzla. For Seferihisar, fresh scales were obtained from inside a tube, a pump and a fitter. Sampling of salt precipitates: During the visits, fresh salt precipitates were taken from outside the pipeline that transports geothermal brine to the power plant. The sampling points were located near the production well. Here, few connectors were slightly leaking which is negligible for the geothermal power production. Over time, the small amounts of brine release causes salt precipitation, due to brine cooling and evaporation. The residual salts occurs in form of fine crystalline precipitations around the pipe connectors or, stalactite-like salt tubings. Sampling of fresh, slightly moist material was performed by either scratching material off the precipitate deposit or breaking off juvenile stalactite outgrowth. The sample were stored and transported in air-tight zipper plastic bags to avoid sample alteration by atmospheric air.
    Keywords: critical raw materials ; geothermal power plant eastern turkey ; drill gravel ; scales ; salt precipitates ; geochemistry ; XRF ; ICP-MS ; XRD ; EARTH SCIENCE 〉 HUMAN DIMENSIONS 〉 ECONOMIC RESOURCES 〉 ENERGY PRODUCTION/USE 〉 GEOTHERMAL ENERGY PRODUCTION/USE ; energy 〉 energy type 〉 non-conventional energy 〉 geothermal energy ; Models/Analyses 〉 CRM
    Type: Dataset , Dataset
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  • 8
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    Transient 3D groundwater and temperature model of the North German Basin below the State of Brandenburg (1953-2014) (2024)
    GFZ Data Services
    Details
    Publication Date: 2024-02-06
    Description: Abstract
    Description: The dataset is the basis for describing a 60-year-long evolution of groundwater dynamics and thermal field in the North German Basin beneath the Federal State of Brandenburg (NE Germany), covering the period between 1953 and 2014 with monthly increments. It was produced by one-way coupling of a near-surface distributed hydrologic model to a 3D basin-scale thermohydraulic groundwater model with the goal of investigating feedbacks between climate-driven forcing (in terms of time- and space-varying recharge and temperature), basin-scale geology, and topographic gradients. Modeled pressure and temperature distributions are validated against published groundwater level and temperature time series from observation wells. Our results indicate the spatio-temporal extent of the groundwater system subjected to nonlinear interactions between local geological variability and climate conditions. The dataset comprises of input files and scripts required to run the groundwater model in GOLEM and output files from the transient thermo-hydraulic simulations in EXODUS format. The input and output data is organized as separate archived folders (*.gz format).
    Description: Methods
    Description: Hydrological fluxes are simulated via mesoscale Hydrological Model (mHM) (Samaniego et al., 2010), a spatially distributed hydrologic modeling tool. We make use of the results from a Germany-wide realization of mHM to derive time and space varying water fluxes, which we translate into boundary conditions at the top of our groundwater model. All groundwater simulations were conducted with GOLEM, a Finite Element Method (FEM) modelling platform for thermal-hydraulic-mechanical and non-reactive chemical processes in fully-saturated porous media (Cacace and Jacquey, 2017). Steady-state conditions were derived by solving separately for the hydraulic and the thermal cases. These uncoupled steady-state simulations have been used as initial conditions to run a coupled pseudo-transient simulation, the results of which have been later imposed to initialize the pore pressure and the temperature in the final transient simulation.
    Description: TechnicalInfo
    Description: The dataset comprises of output fluxes from the hydrological model, input files and scripts required to run the groundwater model, output files from the transient thermo-hydraulic simulations, references to validation data, and workflows for data pre-conditioning and post-processing. The 3D structural model built for groundwater modeling covers an area of 28800 km2, extends down to 6000 m below sea level, and contains 12 stratigraphic units from pre-Permian to Quaternary. It was built using structural surfaces from an earlier basin-scale structural model of Brandenburg (Noack et al., 2013). The model captures large-scale geological features controlling the regional groundwater flow, including salt structures, permeable glacial valleys, and aquitard discontinuities. The simulated finite element mesh has a resolution of 1 km x 1 km. It is divided into 54 computational layers and consists of 1.9 million nodes, giving a total of 3 million degrees of freedom.
    Keywords: groundwater modeling ; groundwater level ; geothermal potential ; groundwater recharge ; mesoscale Hydrologic Model (mHM) ; North German Basin ; Brandenburg ; climate ; EARTH SCIENCE 〉 TERRESTRIAL HYDROSPHERE 〉 GROUND WATER 〉 PERCOLATION ; hydrosphere 〉 water (geographic) 〉 groundwater
    Type: Dataset , Dataset
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  • 9
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    High resolution Digital Terrain Models (DTMs) of Tillandsiales in the Chilean Atacama Desert: The Arica study field. (2024)
    CRC1211 Database (CRC1211DB)
    Details
    Publication Date: 2024-02-21
    Description: Abstract
    Description: A high-resolution Digital Terrain Model (DTM) has been processed for the Tillandsia landbeckii study sites at Arica. The original source data have been obtained from drone flight images. The final resolution of the DTM is of about 14 cm. We acknowledge support in the field and during data processing from Alexander Siegmund (PH Heidelberg). RE Stein and D Jäger contributed equally to the work.
    Description: TableOfContents
    Description: The zip.file contains the following 5 files: 1) Arica.blend 2) Arica_Ortho_clipped_0-5res.tif 3) DEM_Arica_final_clipped_rescale2.tif 4) DEM_Arica_final_clipped_rescale2_0-5res_raw.tif 5) DEM_Arica_final_clipped_rescale2_0-5res_rendered.tif Please do not change file names nor file extensions when loading files for viewing in BLENDER version 4.0 (https://www.blender.org/download/releases/4-0/). The "0-5res" file-versions refer to a 0.5m/px resolution (EPSG:32719 - WGS 84 / UTM Zone 19S). File DEM_Arica_final_clipped_rescale2.tif was processed to a final resolution of 1.35e-06 °degrees (c. 0.143 m) [EPSG:4326 - WGS 84].
    Description: Other
    Description: Short introduction into the methods: Very-high resolution images were captured using an unmanned aerial vehicle (UAVs) [drone: DJI Matrice 200; DJI Zenmuse X5S RGB camera]. With processing of the UAV data images are merged according to their geographical position by means of the Structure-from-Motion (SfM) algorithm and a digital elevation model was created (Micheletti et al. 2015; Westoby et al. 2012). High-resolution topographic surveying using the Structure-from-Motion (SfM) algorithm is a low-cost and user-friendly photogrammetric technique to obtain high-resolution datasets. The SfM method solves the camera pose and scene geometry simultaneously and automatically, using highly redundant bundle adjustment based on matching features in multiple overlapping, offset images (Westoby et al. 2012). SfM-Processing was performed using Agisoft Metashape Professional (Version 1.6.1 64 bit). Agisoft Metashape Professional performs well to reconstruct landscape 3D point clouds and the different steps of the process are configurable and can be controlled (Laporte-Fauret et al. 2019). Images were fed into the software and the quality (tool “estimate image quality”) and position was determined respectives images were chosen to cover the study area. Using the “Aling Photos” tool images were aligned creating tie points (2D) and a Depth Maps (high quality, mild filtering) was created (3D). With the help of the Build Dense Cloud tool, set to high quality, the data points were created that represent the study area in 3D. Consecutively an orthomosaic of the study area was created using the Build Orthomosaic tool. An orthomosaic is a photogrammetrically orthorectified image product that has been mosaicked from a collection of images and corrected for geometric distortion to create a seamless mosaic dataset. Due to the high-resolution input data and the processing without compression a high-resolution orthomosaic was achieved with a pixel size of 2.1 cm/pix covering the study area. This detailed, high-resolution geolocated photo representation of the study site is the basis for the following analytical steps. A digital elevation model (DEM) was computed using the “Build DEM” tool. Its dimensions resulted herein in a 14 cm/pix size to cover the entire study site. Final adjustment of elevation has been done using the Copernicus Digital Elevation Model (https://spacedata.copernicus.eu/de/collections/copernicus-digital-elevation-model) using Q-GIS (https://www.qgis.org/de/site/). Laporte-Fauret, Q., et al. (2019). "Low-Cost UAV for high-resolution and large-scale coastal dune change monitoring using photogrammetry." Journal of Marine Science and Engineering 7(3): 63. Micheletti, N., Chandler, J. H., & Lane, S. N. (2015). Structure from motion (SFM) photogrammetry. In L. E. Clarke, & J. M. Nield (Eds.), Geomorphological techniques (Online Edition) (pp. 1–12, Chapter 2.2.2). British Society for Geomorphology Westoby, M. J., et al. (2012). "‘Structure-from-Motion’photogrammetry: A low-cost, effective tool for geoscience applications." Geomorphology 179: 300-314.
    Keywords: Biota ; Landscape Evolution ; Biodiversity
    Type: Dataset , Sub data for DTM configuration
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    DATA GFZ
  • 10
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    High resolution Digital Terrain Models (DTM) of Tillandsiales in the Chilean Atacama Desert: The Caldera study field (2024)
    CRC1211 Database (CRC1211DB)
    Details
    Publication Date: 2024-02-21
    Description: Abstract
    Description: A high-resolution Digital Terrain Model (DTM) has been processed for the Tillandsia landbeckii study sites at Arica. The original source data have been obtained from drone flight images. The final resolution of the DTM is of about 16 cm/px. We acknowledge support in the field and during data processing from Alexander Siegmund (PH Heidelberg).
    Description: TableOfContents
    Description: The zip.file contains the following 5 files: 1) Caldera.blend 2) Caldera_Ortho_0-5res_clipped.tif 3) Caldera_DEM_clipped_rescale.tif 4) Caldera_DEM_clipped_rescale_0-5res.tif 5) Caldera_DEM_clipped_rescale_0-5res_rendered.tif Please do not change file names nor file extensions when loading files for viewing in BLENDER version 4.0 (https://www.blender.org/download/releases/4-0/). The "0-5res" file-versions refer to a 0.5m/px resolution (EPSG:32719 - WGS 84 / UTM Zone 19S). File Caldera_DEM_clipped_rescale.tif was processed to a final resolution of 1.67e-06 °degrees (c. 0.165 m) [EPSG:4326 - WGS 84].
    Description: Other
    Description: Short introduction into the methods: Very-high resolution images were captured using an unmanned aerial vehicle (UAVs) [drone: DJI Matrice 200; DJI Zenmuse X5S RGB camera]. With processing of the UAV data images are merged according to their geographical position by means of the Structure-from-Motion (SfM) algorithm and a digital elevation model was created (Micheletti et al. 2015; Westoby et al. 2012). High-resolution topographic surveying using the Structure-from-Motion (SfM) algorithm is a low-cost and user-friendly photogrammetric technique to obtain high-resolution datasets. The SfM method solves the camera pose and scene geometry simultaneously and automatically, using highly redundant bundle adjustment based on matching features in multiple overlapping, offset images (Westoby et al. 2012). SfM-Processing was performed using Agisoft Metashape Professional (Version 1.6.1 64 bit). Agisoft Metashape Professional performs well to reconstruct landscape 3D point clouds and the different steps of the process are configurable and can be controlled (Laporte-Fauret et al. 2019). Images were fed into the software and the quality (tool “estimate image quality”) and position was determined respectives images were chosen to cover the study area. Using the “Aling Photos” tool images were aligned creating tie points (2D) and a Depth Maps (high quality, mild filtering) was created (3D). With the help of the Build Dense Cloud tool, set to high quality, the data points were created that represent the study area in 3D. Consecutively an orthomosaic of the study area was created using the Build Orthomosaic tool. An orthomosaic is a photogrammetrically orthorectified image product that has been mosaicked from a collection of images and corrected for geometric distortion to create a seamless mosaic dataset. Due to the high-resolution input data and the processing without compression a high-resolution orthomosaic was achieved with a pixel size of 2.1 cm/pix covering the study area. This detailed, high-resolution geolocated photo representation of the study site is the basis for the following analytical steps. A digital elevation model (DEM) was computed using the “Build DEM” tool. Its dimensions resulted herein in a 16.5 cm/pix size to cover the entire study site. Final adjustment of elevation has been done using the Copernicus Digital Elevation Model (https://spacedata.copernicus.eu/de/collections/copernicus-digital-elevation-model) using QGIS (https://www.qgis.org/de/site/). Laporte-Fauret, Q., et al. (2019). "Low-Cost UAV for high-resolution and large-scale coastal dune change monitoring using photogrammetry." Journal of Marine Science and Engineering 7(3): 63. Micheletti, N., Chandler, J. H., & Lane, S. N. (2015). Structure from motion (SFM) photogrammetry. In L. E. Clarke, & J. M. Nield (Eds.), Geomorphological techniques (Online Edition) (pp. 1–12, Chapter 2.2.2). British Society for Geomorphology Westoby, M. J., et al. (2012). "‘Structure-from-Motion’photogrammetry: A low-cost, effective tool for geoscience applications." Geomorphology 179: 300-314.
    Keywords: Biota ; Landscape Evolution
    Type: Dataset , Sub data for DTM configuration
    Format: ZIP
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  • 11
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    Crystallographic Information File (CIF) of the magnesium phosphate mineral struvite collected by single-crystal X-Ray diffraction (2024)
    GFZ Data Services
    Details
    Publication Date: 2024-02-12
    Description: Abstract
    Description: Crystallographic Information File (CIF) of the magnesium phosphate mineral struvite collected by single-crystal X-Ray diffraction.  The magnesium phosphate mineral struvite (MgNH4PO4·6H2O) is of interest for the recovery of phosphorus from wastewaters and for use as a fertilizer in agriculture, yet its structure is still debated. The structure of synthetic single crystals of struvite was characterized through refinement of a single-crystal X-ray diffraction pattern acquired at 100 K. The crystal structure was processed into a crystallographic information file (CIF), which is an internationally used data format used by crystallographers, mineralogists and chemists, containing all relevant information about the structure of a specific crystalline phase (Hall et al.: International Tables for Crystallography (2006). Vol. G, ch. 2.2, pp. 20-36). Detailed description and experimental outline of the structural determination is found in Volkmann et al. (2024), DOI: https://doi.org/10.31223/X5KQ4F
    Keywords: Struvite ; Crystal structure ; Mineral ; Phosphate ; EARTH SCIENCE 〉 SOLID EARTH 〉 ROCKS/MINERALS/CRYSTALS 〉 SEDIMENTARY ROCKS 〉 SEDIMENTARY ROCK PHYSICAL/OPTICAL PROPERTIES
    Type: Dataset , Dataset
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  • 12
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    The 3-rd Order Polynomial Fit Coefficients of Electron Lifetime Caused by Interaction with Chorus Waves (2024)
    GFZ Data Services
    Details
    Publication Date: 2024-02-12
    Description: Abstract
    Description: In near-Earth space, a large population of high-energy electrons are trapped by Earth’s magnetic field. These energetic electrons are trapped in the regions called Earth’s ring current and radiation belts. They are very dynamic and show a very strong dependence on solar wind and geomagnetic conditions. These energetic electrons can be dangerous to satellites in the near-Earth space. Therefore, it is very important to understand the mechanisms which drive the dynamics of these energetic electrons. Wave-particle interaction is one of the most important mechanisms. Among the waves that can be encountered by the energetic electrons when they move around our Earth, whistler mode chorus waves can cause both acceleration and the loss of energetic electrons in the Earth's radiation belts and ring current. Using more than 5 years of wave measurements from NASA’s Van Allen Probe mission, Wang et al (2019) developed chorus wave models which depend on magnetic local time (MLT), Magnetic Latitude (MLat), L-shell, and geomagnetic condition index Kp. To quantify the effect of chorus waves on energetic electrons, we calculated the bounce-averaged quasi-linear diffusion coefficients using the chorus wave model developed by Wang et al (2019) and extended to higher latitudes according to Wang and Shprits (2019). Using these diffusion coefficients, we calculated the lifetime of the electrons with an energy range from 1 keV to 2 MeV. In each MLT, we calculate the lifetime for each energy and L-shell using two different methods according to Shprits et al (2007) and Albert and Shprits (2009). We make the calculated electron lifetime database available here. Please notice that the chorus wave model by Wang et al (2019) is valid when Kp 〈= 6. If the user wants to use this lifetime database for Kp 〉6, please be careful and contact the authors.
    Keywords: Earth's radiation belt; ring current; electron precipitation; electron lifetime ; EARTH SCIENCE 〉 SUN-EARTH INTERACTIONS 〉 IONOSPHERE/MAGNETOSPHERE DYNAMICS 〉 PLASMA WAVES ; EARTH SCIENCE SERVICES 〉 MODELS 〉 SOLAR-ATMOSPHERE/SPACE-WEATHER MODELS
    Type: Dataset , Dataset
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  • 13
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    GEOSCRAPE zircon database (2024)
    GFZ Data Services
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    Publication Date: 2024-02-14
    Description: Abstract
    Description: This database contains a compilation of published zircon geochronology, chemistry and isotope data. The database was created through automated web scraping of the Figshare data repository. Data included U-Pb and Pb-Pb dating, Lu-Hf isotopes, trace element and rare earth element chemistry and isotopes. Where available, metadata on the analytical method, lithology, sample description and sampling coordinates are included. All analyses include a citation and doi link to the original data hosted on Figshare. See metadata table for descriptions of table headers. See associated manuscript for web scraping code.
    Description: Other
    Description: The DIGIS geochemical data repository is a research data repository in the Earth Sciences domain with a specific focus on geochemical data. It is hosted at GFZ Data Services through a collaboration between the Digital Geochemical Data Infrastructure (DIGIS) for GEOROC 2.0 (https://digis.geo.uni-goettingen.de) and the GFZ German Research Centre for Geosciences. The repository archives, publishes and makes accessible user-contributed, peer-reviewed research data that fall within the scope of the GEOROC database. Compilations of previously published data are also made available on the GEOROC website (https://georoc.eu) as Expert Datasets.
    Keywords: data compilation ; zircon geochronology ; geochemistry data ; isotope data ; GEOROC Expert Dataset ; zircon ; magmatic ; detrital ; U-Pb age ; Pb-Pb age ; Lu-Hf isotopes ; trace elements ; rare earth elements ; adakite ; amphibolite ; andesite ; anorthosite ; aplite ; arenite ; ash ; basalt ; basaltic andesite ; basaltic trachyandesite ; bentonite ; biotitite ; charnockite ; conglomerate ; dacite ; diamictite ; diorite ; dolerite ; dunite ; gabbro ; granite ; granodiorite ; granulite ; greenschist ; greywacke ; hornblendite ; kersantite ; kimberlite ; lamprophyre ; leucogranite ; lherzolite ; limestone ; migmatite ; monzodiorite ; monzogranite ; monzonite ; norite ; orthogneiss ; paragneiss ; pegmatite ; pelite ; psammite ; pumice ; pyroxenite ; quartzite ; radiolarite ; rhyodacite ; rhyolite ; rodingite ; sandstone ; schist ; serpentinite ; shale ; siltstone ; spessartite ; syenite ; syenogranite ; tonalite ; trachyandesite ; trachydacite ; trachyte ; trondhjemite ; tuff ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOCHEMISTRY ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOCHEMISTRY 〉 GEOCHEMICAL PROPERTIES ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOCHEMISTRY 〉 GEOCHEMICAL PROPERTIES 〉 ISOTOPE MEASUREMENTS ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOCHEMISTRY 〉 GEOCHEMICAL PROPERTIES 〉 ISOTOPE RATIOS ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOCHEMISTRY 〉 GEOCHEMICAL PROPERTIES 〉 ISOTOPES ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOCHEMISTRY 〉 GEOCHEMICAL PROPERTIES 〉 ISOTOPIC AGE ; EARTH SCIENCE 〉 SOLID EARTH 〉 ROCKS/MINERALS/CRYSTALS 〉 MINERALS 〉 MINERAL AGE DETERMINATIONS
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  • 14
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    CRM-geothermal - Gas chemical measurements at the Tuzla, Seferihisar and Dikili geothermal fields, Turkey (2024)
    GFZ Data Services
    Details
    Publication Date: 2024-02-26
    Description: Abstract
    Description: To enhance the EU's economic autonomy, feasible options for local sourcing of critical raw materials that would allow for shorter supply routes along with ethical and responsible value chains are under contemplation. Social acceptance of mining in Europe is, however, low, and the establishment of new mining sites faces strong public opposition. Therefore, innovative solutions for the production of primary raw materials need to be developed. A new idea for raw material extraction is the extraction of essential elements from geothermal fluids. Deep geothermal fluids, increasingly used for energy production, often contain high concen-trations of dissolved ions and gases in commercially interesting concentrations. The EU-funded project CRM-geothermal aims to develop new technologies to extract these highly relevant elements, including helium, during geothermal production cycles. In this way, an environmentally friendly and socially acceptable exploration and exploitation method could be deployed. One aim of the CRM-geothermal project is to gain an overview of the actual quantities of critical raw materials in various geothermal fluids in Europe by taking and analyzing fluid samples. In Turkey for instance, classical high enthalpy (volcanic) systems exist, which are representative for many geothermal areas worldwide. The sites are located at the edges of tectonic plates and close to areas undergoing volcanic activity. The brines are mixed with seawater and circulate in the deeper crust. The data publication contains analyses results of three gas samples from Tuzla, two samples from Seferihisar geothermal power plant and one sample from the Dikili geothermal field in Turkey, taken in 2023 as part of the CRM-geothermal project.
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  • 15
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    Event peak flow dataset for spatial counterfactual events, Germany (2024)
    GFZ Data Services
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    Publication Date: 2024-02-28
    Description: Abstract
    Description: This dataset comprises event peak flows, representing extreme floods at 516 stations in Germany. The data generation process involves several key steps. Initially, observed rainfall events associated with 10 historical flood disasters from 1950 to 2021 are undergone spatial shifts. These shifts involve three distances (20, 50, and 100 km) and eight directions (North, Northeast, East, Southeast, South, Southwest, West, Northwest), resulting in 24 counterfactual precipitation events. Including the factual (no shift) event, a total of 25 distinct shifting events are considered. Subsequently, these shifted fields are used as atmospheric forcing for a mesoscale hydrological model (mHM) set up and calibrated for the entire Germany. The model produces daily stream flows across its domain, from which the event peak flows are derived. This dataset is expected to provide a valuable resource for analyzing and modeling the dynamics extreme flood events in Germany.
    Keywords: extreme floods ; counterfactuals ; EARTH SCIENCE 〉 HUMAN DIMENSIONS 〉 NATURAL HAZARDS 〉 FLOODS
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  • 16
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    Stable Nitrogen isotope composition of common wheat in intercropping with Persian clover (Tuscany, Italy) (2024)
    GFZ Data Services
    Details
    Publication Date: 2024-03-06
    Description: Abstract
    Description: Intercropping is the simultaneous growth of two or more crops in the same space for a significant part of their life cycle (Willey, 1979). In this context, samples from one farm experiments in the growing season 2015/2016 and 2016/2017, embedded in the cropping systems of one arable farm in the surrounding of Pisa, central-western part of Italy, were collected for analysis. The treatments were: PCW, a temporary intercropping system of wheat and persian clover, sown in paired rows; CONTROLSTRIP, unfertilized wheat as a sole crop, sown in paired rows.
    Description: Methods
    Description: The samples were collected from a farm located in Valtriano, around 20 km from Pisa (43°36’N 10°29’E). The temporary intercropping system comprises common wheat (Triticum aestivum L., cv. Bolero) and persian clover (Trifolium resupinatum L., cv. Laser). Sampling of above-ground plant biomass was done by hands in March 2016 and 2017. For each treatment, above-ground plant biomass was collected several plots which includes three subplots with dimension of 0.25m2 in 2016 and 0.075 m2 in 2017. The samples collected, only for the green part of the plant, were dried at 60°C for 48 h. Then, coarse grinding of the plant fibres (about 1 mm in diameter) was carried out, followed by further cryogenic grinding.
    Keywords: EPOS ; multi-scale laboratories ; geochemistry and microscopy ; geochemistry data ; EARTH SCIENCE 〉 BIOSPHERE 〉 VEGETATION 〉 NITROGEN
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  • 17
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    Survey of critical raw materials in Tanzania East African Rift geothermal araes (2024)
    GFZ Data Services
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    Publication Date: 2024-03-08
    Description: Abstract
    Description: In autumn 2022, an expedition to Tanzania was undertaken within the framework of the research project “CRM-geothermal” and Scintific Priority Program (SPP) 2238 “Dynamics of Ore Metal Enrichment”. Within „CRM-geothermal“ we are looking for an environmentally friendly co-production of critical raw materials together with the provision of geothermal energy. In the EARS, high levels of rare earth elements (REE), Sr, Ba and Mg are expected in waters and solids in areas with alkaline volcanic rocks, while other critical elements, including helium, have been sought in other localities. In particular, the eastern branch is the most juvenile sector and has increased geothermal potential related to hot fluids migrating along permeable faults. Tanzania was crossed from north to south, along the eastern arm of the EARS, to collect gas, water, rock and sediment samples associated with natural hot springs, lakes and vents. On site, physical and chemical parameters were measured in-situ and documented together with the geology, infrastructure and the domestic use of the hot site. In the south, existing drill sites and geothermal development areas were visited and gas and water samples were taken from boreholes and rocks sampled from drill cores. The survey covered 13 sites, from Lake Natron in the north to Lake Malawi in the south (see map).
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  • 18
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    Drone based photogrammetry data at the Geysir geothermal field, Iceland (2024)
    GFZ Data Services
    Details
    Publication Date: 2024-03-18
    Description: Abstract
    Description: Geysers are localized hydrothermal vents that periodically erupt with gas bubbles at the surface. Understanding their distribution, dynamics, and conduit geometry is critical to understand the fluid and heat transfer through the crust. To explore this at the Geysir geothermal field in Iceland, we analyzed the spatial distribution of thermal features using high-resolution UAV-based optical and infrared cameras. Based on this, Walter et al. (2020) identified 364 distinct thermal spots. Here we release the high-resolution drone orthomosaic dataset at the Geysir geothermal field, Iceland.
    Description: Methods
    Description: The field campaign and subsequent findings are derived from UAV data collected between July 27th and August 5th, 2016. We used lightweight cameras mounted on a modified DJI Matrice 100 quadcopter drone, allowing flight durations of over 30 min and simultaneous use of optical and thermal cameras. Flight control was based on GPS, with live video feed to the operator and predefined flight paths. Overflights were conducted at different times to optimize image quality: daylight flights at 5:00 local time for optimal contrast for the optical camera, and cold night flights at 3:00 local time for the infrared camera. Altitudes were 120 meters above ground to ensure comprehensive image coverage. The optical camera, a DJI Zenmuse X5R, captured 16-megapixel images at 2 frames per second, with each image geotagged by GPS. The thermal camera, a FLIR Tau 2, had a fully radiometric resolution of 640 × 512 pixels and a spectral band of 7.5-13.5 μm, with GPS geotagging for each image.
    Keywords: Strokkur ; Iceland ; thermal map ; orthomosaic ; Aircraft 〉 UAV ; Earth Remote Sensing Instruments 〉 Passive Remote Sensing 〉 Thermal/Radiation Detectors 〉 FLIR ; EARTH SCIENCE 〉 OCEANS 〉 MARINE VOLCANISM 〉 HYDROTHERMAL VENTS ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOMORPHIC LANDFORMS/PROCESSES 〉 TECTONIC LANDFORMS 〉 GEYSER ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOMORPHIC LANDFORMS/PROCESSES 〉 TECTONIC LANDFORMS 〉 VOLCANO ; EARTH SCIENCE SERVICES 〉 MODELS 〉 DIGITAL ELEVATION/DIGITAL TERRAIN MODELS ; energy 〉 energy type 〉 non-conventional energy 〉 geothermal energy ; hydrosphere 〉 water (geographic) 〉 surface water 〉 thermal water ; monitoring 〉 monitoring technique 〉 photogrammetry
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  • 19
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    A dataset to explore the influence of functional diversity for long-term forest biomass across six European regions using the model LPJmL-FIT (2024)
    GFZ Data Services
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    Publication Date: 2024-03-16
    Description: Abstract
    Description: This dataset contains simulation data using the LPJmL-FIT model (Billing et al., 2019). The purpose of this dataset is to investigate the influence of functional diversity on European forest biomass dynamics under varying climate change scenarios (RCP2.6, RCP4.5, RCP8.5). The LPJmL-FIT ("Lund-Potsdam-Jena managed Land – Flexible Individual Traits") model is a dynamic flexible-trait vegetation model that simulates the establishment, growth, competition, and mortality of individual trees and grasses. Each tree individual is categorized into one of four main plant functional types (PFTs) and assigned a set of functional trait values, including specific leaf area (SLA), leaf longevity (LL), and wood density (WD). The model is driven by daily climate input data, atmospheric CO2 concentration, and soil texture. For this dataset, the model was applied to six different regions across central and eastern Europe, covering a range of environmental gradients. Those sites include: Alpine Mountains, Boreal flatland, Carpathian Mountains, central European flatland, central European low mountain range and eastern European flatland. Each region is represented by a set of 9 grid cells of 0.5° x 0.5° longitude and latitude in size. Four experimental set-ups were investigated, varying in the degree of functional diversity. These set-ups specify characteristics of newly establishing trees, including assignment to PFTs and the range of leaf traits drawn from the full spectrum. This dataset provides detailed model outputs from simulations exploring the effects of different levels of functional diversity on forest adaptation under changing climatic conditions.
    Keywords: vegetation carbon ; forests ; future ; Europe ; temperate forests ; boreal forests ; mountainous forests ; functional diversity ; EARTH SCIENCE 〉 BIOSPHERE 〉 TERRESTRIAL ECOSYSTEMS 〉 FORESTS ; EARTH SCIENCE 〉 BIOSPHERE 〉 VEGETATION 〉 BIOMASS ; EARTH SCIENCE 〉 BIOSPHERE 〉 VEGETATION 〉 CARBON ; EARTH SCIENCE SERVICES 〉 MODELS 〉 DYNAMIC VEGETATION/ECOSYSTEM MODELS
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  • 20
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    GEOREAL - GEOthermal experiments in the KTB deep laboratory under REAL conditions of a deep borehole (2024)
    GFZ Data Services
    Details
    Publication Date: 2024-03-21
    Description: Abstract
    Description: To seismically monitor the GEOREAL hydraulic stimulation experiment, that took place during the period 6-15 November 2023, a station network was set up in the vicinity of the Kontinentale Tiefbohrung/ KTB deep crustal lab near Windischeschenbach, Germany. The network comprised both surface stations, shallow borehole (25-150 m deep) stations as well as a borehole chain at 2000 m depth in the main borehole, ca. 200m apart from the pilot borehole. First stations were installed in early 2022 and removed in mid-2024. A total of 600 m³ of water was injected into the 4 km deep pilot borehole (KTB-VB, 12° 7.16' E, 49° 48.98' N, 513.418 m above NN ). This volume was injected through a stuck packer in the cased borehole into the open borehole section a depth of 3.85-4 km. No induced seismicity was observed during the injection experiment. Waveform data is available from the GEOFON data centre, under network code 4R, and is fully open.
    Keywords: EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 EARTHQUAKES ; In Situ/Laboratory Instruments 〉 Magnetic/Motion Sensors 〉 Seismometers ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS 〉 SEISMOLOGICAL STATIONS ; MiniSEED ; Seismometers ; GIPP ; Local network
    Type: Dataset , Seismic Network
    Format: ~300G
    Format: .mseed
    Format: XML
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  • 21
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    Sample information, major element stream chemistry, inversion model setup and results, sample corrections for precipitation and degassing, and CO2 exchange calculations (2024)
    GFZ Data Services
    Details
    Publication Date: 2024-03-22
    Description: Abstract
    Description: Tables that include information and calculations associated with water samples collected from rivers in Central Italy. The goal of the project was to determine the carbon budget for the Central Apennine Mountains of Italy, by accounting for weathering reactions that are responsible for either CO2 drawdown or release into the atmosphere. The carbon budget was created by: 1) analysing samples from different water bodies and sources in the Central Apennines (rivers, lakes, and groundwater) for ion and isotope signatures, and 2) by incorporating the ion and isotope signatures from the waters into an inversion model that partitions these signatures into different sources (e.g. minerals, vegetation, atmospheric sources) around the landscape. All data associated with this publication are provided in a single excel spreadsheet that contains a separate tab for each of the 18 Tables. The supplementary data include: 1) Information on the locations of the water samples and associated water bodies, described in the “Sampling Methods” section, 2) ion and isotope measurements from the water samples, described in the “Analytical Procedure” section, 3) the setup and output from the inversion model, and 4) the CO2 calculations that form the basis for the carbon budget, described in the “Data Processing” section. Water samples were collected over two seasons, in winter and summer; data in the tables are divided by sampling season, where indicated in the content description. For a full description of the sampling strategy, data, and methods, please refer to: Erlanger et al. (2024) “Deep CO2 release and the carbon budget of the central Apennines modulated by geodynamics” Nature Geoscience.
    Keywords: major element chemistry ; water isotopes ; rivers ; Central Italy ; CO2 budget ; geodynamics ; Apennine Mountains ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOCHEMISTRY 〉 GEOCHEMICAL PROCESSES 〉 CHEMICAL WEATHERING ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOCHEMISTRY 〉 GEOCHEMICAL PROPERTIES 〉 ISOTOPE MEASUREMENTS ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOMORPHIC LANDFORMS/PROCESSES 〉 FLUVIAL PROCESSES 〉 WEATHERING ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOMORPHIC LANDFORMS/PROCESSES 〉 TECTONIC PROCESSES 〉 SUBDUCTION
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  • 22
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    Script and case study dataset for numerical modelling of uplifted marine terrace sequences (2024)
    GFZ Data Services
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    Publication Date: 2024-03-25
    Description: Abstract
    Description: Numerical model supporting the article: "Uplifted marine terraces at active margins: understanding the effects of sea reoccupation and coseismic uplift on uplift rate calculation. The forward numerical model reproduces the evolution of an uplifting margin subject to sea erosion. The age-mixing resulting from reoccupation and the likelihood of missing terraces along a staircase sequence increase the inaccuracy of terrace ages assigned through geometrical cross correlation; this may result in erroneous uplift rates and consequent misinterpretation of the uplift evolution. Further research is needed to explore whether vertical displacement reproducing the full seismic cycle, inclusive of both permanent and elastic deformation, and variable uplift rates, have a similar relevance in shaping the geometry of terrace sequences. The code provides the possibility to have steady uplift, i.e. aseismic and constant over time, or coseismic uplift, i.e. given by instantaneous vertical displacement, reproducing earthquakes. It is possible to define time intervals having different uplift rate values, or different uplift modes (aseismic and seismic periods), or vary the characteristic of the coseismic uplift, such as recurrence intervals and coseismic uplift displacement. The coseismic uplift can also be superimposed to a background uplift rate. All values can be of positive or negative sign. The user can define which variable values are saved in the model output, and these include parameters such as the terrace age and the reoccupation tracker. In the repository we include three sea level curves, but any other sea level curve provided by the user can be used to run the model. The parameter values used in the manuscript models are described in the Supplementary Information file of the manuscript. The data provided in txt format report data published by Saillard et al. (2011) and additional calculations, which have been used for the case study of the manuscript. The model scripts are written in Julia language and can be used to reproduce marine terraces formation at coastal margins subject to uplift. The scripts are organized as Github repository (https://github.com/albert-de-montserrat/LEM1D). Movies S1 to S8 provide a qualitative illustration of the terrace evolution under different uplift conditions.
    Description: Other
    Description: Copyright 〈2020〉 〈albert-de-montserrat〉 Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the “Software”), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
    Keywords: subduction margin ; marine terraces ; sea erosion ; earthquakes ; coseismic uplift ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOMORPHIC LANDFORMS/PROCESSES 〉 COASTAL LANDFORMS 〉 WAVE-CUT NOTCH/PLATFORMS ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOMORPHIC LANDFORMS/PROCESSES 〉 TECTONIC PROCESSES 〉 TECTONIC UPLIFT ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 NEOTECTONICS ; science 〉 natural science 〉 earth science 〉 geology 〉 tectonics
    Type: Model , Model
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    DATA GFZ
  • 23
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    Superconducting Gravimeter Data from Serrahn - Level 1 (2024)
    GFZ Data Services
    Details
    Publication Date: 2024-03-25
    Description: Abstract
    Description: The International Geodynamics and Earth Tide Service (IGETS) was established in 2015 by the International Association of Geodesy (IAG). IGETS continues the activities of the Global Geodynamics Project (GGP, 1997-2015) to provide support to geodetic and geophysical research activities using superconducting gravimeter (SG) data within the context of an international network. The SG site “Serrahn” is located in the TERENO Observatory in the nort-eastern German lowlands. The observatory contributes to investigating the regional impact of climate and land use change. At the IGETS site Serrahn, the mean annual temperature is 8.8 °C and mean annual precipitation is 591 mm. The land cover is mainly characterized as a mixed forest, dominated by European beech and Scots pine. Influenced by the last glaciation in an outwash close to the terminal morraine, the uppermost soil layer of the site consists of aeolian sands up to a depth of 450 cm, followed by coarser sandy material with intercalated till layers. The unconfined groundwater level is at about 14 m below surface. There is hardly any human activity (e.g., traffic) at this quiet forest site. The nearest town is Neustrelitz at a distance of 5 km. Since December 2017, the superconducting gravimeter iGrav-033 is operated outdoors at this forest location (Latitude: 53.3392 N, Longitude: 13.17413 E, Elevation: 79.60 m). The gravimeter is installed in a dedicated field enclosure on top of a concrete pillar with an area of 1.1 m x 1.1 m at an elevation of 0.80 m above the terrain surface. The pillar has been build to a depth of 2.00 m below the surface. One additional pillar (also 1.1 m x 1.1 m, at surface level) is located right next to the iGrav installation and is used for repeated observations with absolute gravimeters (AG). At the site, meteorological (precipitation, air temperature, humidity, air pressure) and hydrological (groundwater, soil moisture, sapflow, throughfall) parameters are monitored by different sensors. Raw gravity and local atmospheric pressure records sampled at second intervals and the same records decimated at 1‐minute samples are provided as Level 1 products to the IGETS network.
    Keywords: Superconducting gravimetry ; Earth tides ; Geodynamics ; IGETS ; International Geodynamics and Earth Tide Service ; geophysics ; geodesy ; hydrology ; EARTH SCIENCE 〉 SOLID EARTH 〉 GRAVITY/GRAVITATIONAL FIELD 〉 GRAVITY ; environment 〉 geophysical environment ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS 〉 GRAVITY STATIONS ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS 〉 SGO ; In Situ/Laboratory Instruments 〉 Magnetic/Motion Sensors 〉 Gravimeters 〉 SUPERCONDUCTING GRAVIMETER ; science 〉 geography 〉 geodesy
    Type: Dataset , Dataset
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    DATA GFZ
  • 24
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    Global energy magnitude catalog 2011-2023 with event selection driven by Mw Geofon (2024)
    GFZ Data Services
    Details
    Publication Date: 2024-03-28
    Description: Abstract
    Description: This archive disseminated through the GFZ-Data Service includes both results and information as-sociated to Bindi et al. (2023). In particular, the archive includes a seismic catalogue reporting ener-gy magnitude Me estimated form vertical P-waves recorded at teleseismic distances in the range 20°≤ D ≤ 98°, following Di Giacomo et al (2008, 2010). The catalogue is built considering 6349 earth-quakes included in the GEOFON (Quinteros et al, 2021) catalogue with moment magnitude Mw larger than 5 and occurring after 2011. Tools used to compute the energy magnitude are free available. In particular, we used stream2segment (Zaccarelli, 2018) to download data from IRIS (https://ds.iris.edu/ds) and EIDA (Strollo et al., 2021) repositories, and me-compute [Zaccarelli, 2023) to process waveforms and compute Me. The methodology applied to me-compute is also implemented as add-on for SeicomP (GFZ and Gempa, 2020) in order to allow the real time computation of Me (https://github.com/SeisComP/scmert).
    Description: Other
    Description: Version History: 19 February 2024: release of first version 28 March 2024: release of v.1.1 Addition of the complete list of references for the seismic networks analysed with me-compute as described in Bindi et al. (2024, ESSD). The list is provided as additional txt file in the data download section and all references were added to the XML metadata.
    Keywords: Energy magnitude ; seismic catalog ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 EARTHQUAKES ; geological process 〉 seismic activity 〉 earthquake
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    DATA GFZ
  • 25
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    Lead(II) biosorption experiments of the fungus Penicillium citrinum under geothermal conditions (2024)
    GFZ Data Services
    Details
    Publication Date: 2024-04-02
    Description: Abstract
    Description: This dataset is the result of an experimental series that was carried out in September/October 2022 at GFZ German Research Centre for Geosciences, Potsdam, Germany to observe biosorption of lead under extreme conditions. Synthetic solutions, simulating the geothermal fluids from the Heemskerk geothermal power plant were were prepared in 30 ml glass vials (Rotalibo screw neck ND24 EPA). To prepare the stock solutions, sodium chloride (NaCl, 99.8 %, Cellpure, Merck, DE) was added at 265 g/L and Pb(II), in form of lead nitrate (Pb(NO3 )2 , Merck, DE), at 1 g/L to ultrapure water. To assess the impact of acetic acid on lead biosorption, two treatments were done: one without acetic acid and one where acetic acid (100 %, Merck, DE) was added at 60 mg/L. Finally, dead biomass of the fungus Penicillium citrinum was added in the samples at a concentration of 4 g/L (Wahab et al., 2017). The samples were incubated in an autoclave at a pressure of 8 bars on a rotative shaker. The temperature was set at 25 °C, 60 °C or 98 °C with three contact times (1, 2 and 3 h). All treatments were performed in triplicates. For each treatment, two controls without biomass were done. Control samples without the addition of NaCl were done in duplicate, at 25 °C and for 2 h. After incubation, samples were filtered through a 0.22 µm nitrocellulose filter (Sartorius Stedim Biotech, FR) to separate the biomass from the liquid. The biomass on the filters was dried for 24 h at 45 °C before being scraped from the filter and kept in a Falcon tube at room temperature.
    Keywords: geothermal ; biosorption ; lead biosorption ; Penicillium cintrinum ; batch experiments ; brine
    Type: Dataset , Dataset
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  • 26
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    Raw and processed Distributed Acoustic Sensing Ambient Noise data in an Urban Area (2024)
    GFZ Data Services
    Details
    Publication Date: 2024-04-09
    Description: Abstract
    Description: The here presented data set contains time series recording urban seismic noise which was evaluated with MASW to retrieve a shear wave velocity model for subsurface characterization. Distributed Acoustic Sensing (DAS) technology was used to acquire the seismic data in strain-rate unit along an 11-km long telecommunication fiber optic cable which runs parallel to a major road in Berlin, Germany. The original DAS data was recorded at the sampling frequency of 1000 Hz using iDAS Silixa Interrogator Unit with a gauge length of 10 m and a channel spacing of 8 m for the duration of 15 days form 5th of April 2021 to 20th April 2021.
    Keywords: Seismic interferometry ; Multi-Channel Analysis of Surface Waves ; Distributed Acoustic Sensing (DAS) ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 EARTHQUAKES 〉 SEISMIC PROFILE 〉 SEISMIC SURFACE WAVES
    Type: Dataset , Dataset
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    DATA GFZ
  • 27
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    GDEMM2024: 30 Arcsec Global Digital Elevation Merged Model 2024, a suite for Earth relief (2024)
    GFZ Data Services
    Details
    Publication Date: 2024-04-10
    Description: Abstract
    Description: We merged various digital elevation models (DEMs) published in the recent years and created an up-to-date composite and global solution for Earth’s topography and bathymetry. Compared to the original geographically limited data sets, the final product is a seamless merged grid which additionally provides high resolution and accuracy topography and depth globally. We provide Earth relief grids w.r.t EIGEN-6C4 global geoid in terms of surface and bedrock elevation, ice thickness, and land-type masks which have been substantially improved w.r.t the global grids found in literature. We assessed the quality of the merged surface elevations w.r.t the heights given for about globally distributed 5000 ITRF stations. The merged surface model shows improvement of a factor of three w.r.t the other commonly used DEMs in terms of standard deviation. In addition to the four grids, GDEMM2024_SUR, GDEMM2024_BED, GDEMM2024_ICE, and GDEMM2024_LTM, we provide two additional files, the surface elevation without water (GDEMM2024_TBI) and the GDEMM2024_GEO file to transform the heights above EIGEN_6C4 geoid to ellipsoidal heights. The final grids are provided both in 30 arcsec and 1arcmin resolution and in GeoTIFF format which is one of the standards that is available in GMT (Generic Mapping Tools), GDAL (Geospatial Data Abstraction Library) and in almost all GIS software systems.
    Keywords: Earth relief grids ; topography ; ice surface elevation ; bedrock elevation ; ice thickness ; land-type masks ; Earth Observation Satellites 〉 TDX ; EARTH SCIENCE 〉 CRYOSPHERE 〉 GLACIERS/ICE SHEETS 〉 GLACIER TOPOGRAPHY/ICE SHEET TOPOGRAPHY ; EARTH SCIENCE 〉 LAND SURFACE 〉 TOPOGRAPHY ; EARTH SCIENCE 〉 LAND SURFACE 〉 TOPOGRAPHY 〉 LANDFORMS ; EARTH SCIENCE 〉 LAND SURFACE 〉 TOPOGRAPHY 〉 SURFACE ROUGHNESS ; EARTH SCIENCE 〉 LAND SURFACE 〉 TOPOGRAPHY 〉 TERRAIN ELEVATION ; EARTH SCIENCE 〉 LAND SURFACE 〉 TOPOGRAPHY 〉 TOPOGRAPHIC EFFECTS ; EARTH SCIENCE 〉 LAND SURFACE 〉 TOPOGRAPHY 〉 TOPOGRAPHICAL RELIEF ; EARTH SCIENCE 〉 OCEANS 〉 BATHYMETRY/SEAFLOOR TOPOGRAPHY 〉 BATHYMETRY ; EARTH SCIENCE 〉 OCEANS 〉 BATHYMETRY/SEAFLOOR TOPOGRAPHY 〉 WATER DEPTH ; EARTH SCIENCE 〉 TERRESTRIAL HYDROSPHERE 〉 GLACIERS/ICE SHEETS 〉 GLACIER TOPOGRAPHY/ICE SHEET TOPOGRAPHY ; EARTH SCIENCE SERVICES 〉 MODELS 〉 DIGITAL ELEVATION/DIGITAL TERRAIN MODELS
    Type: Dataset , Dataset
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  • 28
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    Update of the Heat Flow Database in Türkiye (2024)
    GFZ Data Services
    Details
    Publication Date: 2024-04-17
    Description: Abstract
    Description: The Turkey heat flow database includes several research articles obtained from the catalogue of The Global Heat Flow Data Assessment Project conducted by the International Heat Flow Commission (IHFC; www.ihfc-iugg.org). The presented database contains 725 heat-flow determinations compiled from 9 different publications generated between 1991-2023 reported within Turkey. For the reporting and sorting of the database, the structure documented by Fuchs et al. (2023) is followed. Within this dataset, 98% of the entries represent continental heat-flow data (onshore), while the remaining 2% correspond to marine data (offshore). 88% of the reported heat flow values were obtained via direct temperature measurements, while the remaining data (12%) were estimated from indirect Curie depth temperature calculations.
    Keywords: Türkiye ; Heat Flow ; Database ; onshore (continental) ; drilling ; surface temperature/bottom water temperature ; bottom hole temperature – uncorrected ; continuous temperature logging in borehole equilibrium using semiconductor transducer or thermistor probe ; Curie Point/Depth estimate ; thermal conductivity source: assumed from literature ; thermal conductivity method: estimation from lithology and literature ; temperature gradient ; thermal conductivity ; EARTH SCIENCE 〉 LAND SURFACE 〉 SOILS 〉 THERMAL CONDUCTIVITY
    Type: Dataset , Dataset
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  • 29
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    The Global Heat Flow Database: Release 2024 (2024)
    GFZ Data Services
    Details
    Publication Date: 2024-04-17
    Description: Abstract
    Description: The data publication contains the compilation of global heat-flow data by the International Heat Flow Commission (IHFC; www.ihfc-iugg.org) of the International Association of Seismology and Physics of the Earth's Interior (IASPEI). The presented data update release 2024 contains data generated between 1939 and 2024 and constitutes the second intermediate update benefiting from the global collaborative assessment and quality control of the Global Heat Flow Database running since May 2021 (http://assessment.ihfc-iugg.org). The data release comprises new original heat-flow data published since April 2023 (the update 2023). It contains 91,182 heat-flow data from 1,586 publications. 57% of the reported heat-flow values are from the continental domain (n ~ 54,553), while the remaining 43% are located in the oceanic domain (n ~ 36,692).
    Keywords: heat flow density ; Global Heat Flow Database ; International Heat Flow Commission ; EARTH SCIENCE 〉 OCEANS 〉 MARINE VOLCANISM 〉 BENTHIC HEAT FLOW ; EARTH SCIENCE 〉 OCEANS 〉 OCEAN HEAT BUDGET 〉 HEAT FLUX ; physical property 〉 temperature
    Type: Dataset , Dataset
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  • 30
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    Biomass of herbivorous fishes of the Gulf of California (2024)
    PANGAEA
    Details
    Publication Date: 2024-01-10
    Description: This data set integrates findings of 16 years (2005 to 2020) of collaborative monitoring efforts across multiple institutions in the Gulf of California.The data encompasses information of 13 species of marine herbivorous fishes belonging to five families: Acanthuridae, Girellidae, Kyphosidae, Pomacentridae and Scaridae. This database presents 884 records of biomass from 15,542 visual censuses assessed by scuba diving in 34 localities (comprising 268 rocky and coral reefs sites). Visual censuses consisted of belt transects (250 m2, 100 m2, and 60 m2) laid parallel to the coastline preserving a similar depth profiles. Along these transects, trained underwater monitors, identified the species, recorded the abundance of all the adult individuals of the 13 targeted species and visually estimated the total length (cm) of each fish. The information for each transect in the database, is presented as the biomass (grams per square meter), which was estimated based on the size per individual as well as the weight-length relationship for each species, available on the literature. In the database is also integrated the information of the latitude and longitude of each locality, type of management, localities in the Gulf of California, institutions, the initial and final year of data, total number of years, as well as the mean, standard deviation, sample size, slope (annual rate of change), probability value, standard error and minimum and maximum value calculated for each species within each locality. This dataset represents a historical reference point for the condition of the 13 species found in the Gulf of California. It can be used to perform evaluations of how herbivorous fish communities have changed over time and across different locations. This is particularly relevant due to the influence of global changes leading to tropicalization in the study area. Furthermore, this information holds significance as it supplies essential insights to those responsible for the management of protected zones in the Gulf and the broader eastern tropical Pacific region. communities have changed over time and across different locations. This is particularly relevant due to the influence of global changes leading to tropicalization in the study area. Furthermore, this information holds significance as it supplies essential insights to those responsible for the management of protected zones in the Gulf and the broader eastern tropical Pacific region.
    Keywords: Abundance; Activity description; Area/locality; Biomass; Calculated; density; Estimated; Event label; Family; GOC_Loc_1; GOC_Loc_10; GOC_Loc_11; GOC_Loc_12; GOC_Loc_13; GOC_Loc_14; GOC_Loc_15; GOC_Loc_16; GOC_Loc_17; GOC_Loc_18; GOC_Loc_19; GOC_Loc_2; GOC_Loc_20; GOC_Loc_21; GOC_Loc_22; GOC_Loc_23; GOC_Loc_24; GOC_Loc_25; GOC_Loc_26; GOC_Loc_27; GOC_Loc_28; GOC_Loc_29; GOC_Loc_3; GOC_Loc_30; GOC_Loc_31; GOC_Loc_32; GOC_Loc_33; GOC_Loc_34; GOC_Loc_4; GOC_Loc_5; GOC_Loc_6; GOC_Loc_7; GOC_Loc_8; GOC_Loc_9; Gulf of California; Herbivorous; Identification; Institution; Latitude of event; Longitude of event; Monitoring; Number of samples; Number of years; Probability; Probability, standard error; Rocky and coral reefs; SCUBA-DIVE; Slope; Species, unique identification; Species, unique identification (Semantic URI); Species, unique identification (URI); Standard deviation; Year of observation; Zone
    Type: Dataset
    Format: text/tab-separated-values, 7849 data points
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    DATA PANGAEA
  • 31
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    Density of herbivorous fishes of the Gulf of California (2024)
    PANGAEA
    Details
    Publication Date: 2024-01-10
    Description: Through collaborative monitoring involving multiple academic, government, and civil institutions over a span of 16 years (2005 to 2020), we compiled 884 records of the density of 13 species of marine herbivorous fishes. The data was collected through 15,542 visual censuses conducted by scuba diving in 34 localities, encompassing 268 rocky and coral reef sites. These censuses utilized belt transects (250 m², 100 m², and 60 m²) parallel to the coastline at similar depth profiles. Trained underwater monitors recorded abundances of all adult individuals of the 13 targeted species along the transects. The information for each transect in the database is presented as the average fish density (individuals per square meter), estimated based on the abundance for each species. The database integrates information on latitude, longitude, type of management, localities in the Gulf of California, institutions, initial and final years of data collection, total number of years, as well as mean, standard deviation, sample size, slope (annual rate of change), probability value, standard error, and minimum and maximum values calculated for each species within each locality. This dataset serves as a historical benchmark for assessing the status of 13 species in the Gulf of California. It enables the examination of changes in herbivorous fish communities over time and across various locations, which is crucial given the impact of global changes leading to tropicalization in the study area. The data is particularly important for providing valuable insights to those managing protected areas in the Gulf and the broader eastern tropical Pacific region.
    Keywords: Abundance; Activity description; Area/locality; Calculated; density; Estimated; Event label; Family; GOC_Loc_1; GOC_Loc_10; GOC_Loc_11; GOC_Loc_12; GOC_Loc_13; GOC_Loc_14; GOC_Loc_15; GOC_Loc_16; GOC_Loc_17; GOC_Loc_18; GOC_Loc_19; GOC_Loc_2; GOC_Loc_20; GOC_Loc_21; GOC_Loc_22; GOC_Loc_23; GOC_Loc_24; GOC_Loc_25; GOC_Loc_26; GOC_Loc_27; GOC_Loc_28; GOC_Loc_29; GOC_Loc_3; GOC_Loc_30; GOC_Loc_31; GOC_Loc_32; GOC_Loc_33; GOC_Loc_34; GOC_Loc_4; GOC_Loc_5; GOC_Loc_6; GOC_Loc_7; GOC_Loc_8; GOC_Loc_9; Gulf of California; Herbivorous; Identification; Individuals per area; Institution; Latitude of event; Longitude of event; Monitoring; Number of samples; Number of years; Probability; Probability, standard error; Rocky and coral reefs; SCUBA-DIVE; Slope; Species, unique identification; Species, unique identification (Semantic URI); Species, unique identification (URI); Standard deviation; Year of observation; Zone
    Type: Dataset
    Format: text/tab-separated-values, 7849 data points
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    DATA PANGAEA
  • 32
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    Mineralogic properties for sediment core MD12-3401Cq for the last deglaciation (2024)
    PANGAEA
    Details
    Publication Date: 2024-01-03
    Keywords: AGE; Antarctic Circumpolar Current; Clay; DEPTH, sediment/rock; Diatoms; Giant piston corer (Calypso); GPC-C; Grain size, Mastersizer S, Malvern Instrument Inc.; magnetic parameters; Marion Dufresne (1995); MD12-3401; MD128; mineralogic parameters; Silt; Summer sea surface temperature; SWAF
    Type: Dataset
    Format: text/tab-separated-values, 498 data points
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  • 33
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    Magnetic properties for sediment core MD12-3401Cq for the last deglaciation (2024)
    PANGAEA
    Details
    Publication Date: 2024-01-03
    Keywords: AGE; Anhysteretic susceptibility/magnetic susceptibility; Antarctic Circumpolar Current; Cryogenic magnetometer, 2G Enterprises; DEPTH, sediment/rock; Giant piston corer (Calypso); GPC-C; magnetic parameters; Magnetic susceptibility; Marion Dufresne (1995); MD12-3401; MD128; mineralogic parameters; Summer sea surface temperature; SWAF
    Type: Dataset
    Format: text/tab-separated-values, 320 data points
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  • 34
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    Summer sea surface temperature for sediment core MD12-3401Cq for the last deglaciation (2024)
    PANGAEA
    Details
    Publication Date: 2024-01-03
    Keywords: AGE; Antarctic Circumpolar Current; calculated, 1 sigma; DEPTH, sediment/rock; Giant piston corer (Calypso); GPC-C; magnetic parameters; Marion Dufresne (1995); MD12-3401; MD128; mineralogic parameters; Reconstructed from the percentage of Neogloboquadrina pachyderma sinistral; Reconstructed from the percentage of planktic foraminifera; Sea surface temperature, summer; Sea surface temperature, summer, standard deviation; Summer sea surface temperature; SWAF
    Type: Dataset
    Format: text/tab-separated-values, 186 data points
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  • 35
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    Concentrations and carbon isotopic composition of suspended particulate matter and dissolved organic matter in Lena River and Central Siberian Rivers, 2010-2014 (2024)
    PANGAEA
    Details
    Publication Date: 2024-01-04
    Description: Concentrations of particulate and dissolved organic carbon from water samples collected throughout the ice-free season in the Lena River Delta, supplemented with samples from Central Siberian Rivers Kochechum and Nizhnyaya Tunguska. Particulate samples were obtained by filtering water through pre-combusted glass-fibre filters, dissolved organic matter was studied in the filtrate. Molar concentration ratios of organic carbon to nitrogen in particulate samples are additionally reported as well as stable carbon isotopic composition (δ13C in ‰ VPDB) and radiocarbon content (∆14C in ‰) of particulate and dissolved organic carbon.
    Keywords: AWI Arctic Land Expedition; Carbon, organic, dissolved; Carbon, organic, particulate; Carbon, organic, particulate/Nitrogen, particulate ratio; CARBOPERM; Comment; Cruise/expedition; d13C; D14C; DATE/TIME; DEPTH, water; DOC; Event label; Formation, turnover and release of carbon in Siberian permafrost landscapes; Kochechum_River; Kochechum River; L10-05; L10-10; L11-06; L11-08/09; L11-10/11; L11-12/13; L11-14/15; L14-01; L14-03; L14-05; L14-06; L14-07; L14-14; L14-16; L14-17; L14-18; L14-19; L14-22; L14-27; L14-29; L14-K1; L14-K2; L14-K3; L14-K4; Laboratory code/label; LATITUDE; Lena2010; Lena2011; LONGITUDE; N_Tunguska_River; Nizhnyaya Tunguska River at Tura; POC; Reference/source; RU-Land_2010_Lena; RU-Land_2010_Lena-L10-05; RU-Land_2010_Lena-L10-10; RU-Land_2011_Lena; RU-Land_2011_Lena-L11-06; RU-Land_2011_Lena-L11-08/09; RU-Land_2011_Lena-L11-10/11; RU-Land_2011_Lena-L11-12/13; RU-Land_2011_Lena-L11-14/15; RU-Land_2014_Lena; RU-Land_2014_Lena-L14-01; RU-Land_2014_Lena-L14-03; RU-Land_2014_Lena-L14-05; RU-Land_2014_Lena-L14-06; RU-Land_2014_Lena-L14-07; RU-Land_2014_Lena-L14-14; RU-Land_2014_Lena-L14-16; RU-Land_2014_Lena-L14-17; RU-Land_2014_Lena-L14-18; RU-Land_2014_Lena-L14-19; RU-Land_2014_Lena-L14-22; RU-Land_2014_Lena-L14-27; RU-Land_2014_Lena-L14-29; RU-Land_2014_Lena-L14-K1; RU-Land_2014_Lena-L14-K2; RU-Land_2014_Lena-L14-K3; RU-Land_2014_Lena-L14-K4; Sample ID; Water sample; WS; Δ14C, dissolved organic carbon; Δ14C, particulate organic carbon; Δ14C, particulate organic carbon, standard deviation; Δ14C, standard deviation; δ13C, dissolved organic carbon; δ13C, dissolved organic carbon, standard deviation; δ13C, particulate organic carbon; δ13C, particulate organic carbon, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 411 data points
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    DATA PANGAEA
  • 36
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    Composition and age of suspended particulate and dissolved organic matter in the Lena River and Central Siberian Rivers, 2002-2014 (2024)
    PANGAEA
    Details
    Publication Date: 2024-01-04
    Description: This data set consists of isotopic and molecular information obtained from samples of particulate and dissolved organic matter collected throughout the ice-free season in the Lena River Delta, supplemented with samples from Central Siberian Rivers Kochechum and Nizhnyaya Tunguska. Particulate samples were obtained by filtering water through pre-combusted glass-fibre filters, dissolved organic matter was studied in the filtrate. Molar concentration ratios of organic carbon to nitrogen in particulate samples are additionally reported as well as stable carbon isotopic composition (δ13C in ‰ VPDB) and radiocarbon content (∆14C in ‰) of particulate and dissolved organic carbon. Concentrations of long-chain n-alkanes (n-C17 to n-C33) in suspended particulate matter samples collected on glass-fibre filters in the Lena Delta. The data set also contains stable hydrogen isotopic composition (δD) of odd-chain n-alkanes n-C23 to n-C31 expressed in permille relative to VSMOW. Contents of long-chain n-alkanes (n-C17 to n-C33) in soil samples as well as particles settled from a large-volume water sample collected in the Lena Delta. The data set also contains stable hydrogen isotopic composition (δD) of odd-chain n-alkanes n-C23 to n-C31 expressed in permille relative to VSMOW.
    Keywords: Biomarkers; CARBOPERM; d13C; D14C; DOC; Formation, turnover and release of carbon in Siberian permafrost landscapes; POC
    Type: Dataset
    Format: application/zip, 3 datasets
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    DATA PANGAEA
  • 37
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    Aircraft measurements of refractory black carbon in the Arctic during flight P6_231_HALO_2022_2203280801 (RF05) of the HALO-(AC)³ campaign 2022 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-03
    Keywords: AC; AC3; aerosol; Aircraft; Arctic; Arctic Amplification; black carbon; Black carbon, refractory, aerosol; Black carbon, refractory, aerosol number concentration; CVI; DATE/TIME; Flag; Flight altitude; HALO - (AC)3; HALO-(AC)³; HALO-AC3_20220328_P6_RF05; LATITUDE; LONGITUDE; P6_231_HALO_2022; P6_231_HALO_2022_2203280801; Polar 6; POLAR 6; Single Particle Soot Photometer (SP2); SP2
    Type: Dataset
    Format: text/tab-separated-values, 6694 data points
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    DATA PANGAEA
  • 38
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    Aircraft measurements of refractory black carbon in the Arctic during flight P6_231_HALO_2022_2203260702 (RF04) of the HALO-(AC)³ campaign 2022 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-03
    Keywords: AC; AC3; aerosol; Aircraft; Arctic; Arctic Amplification; black carbon; Black carbon, refractory, aerosol; Black carbon, refractory, aerosol number concentration; CVI; DATE/TIME; Flag; Flight altitude; HALO - (AC)3; HALO-(AC)³; HALO-AC3_20220326_P6_RF04; LATITUDE; LONGITUDE; P6_231_HALO_2022; P6_231_HALO_2022_2203260702; Polar 6; POLAR 6; Single Particle Soot Photometer (SP2); SP2
    Type: Dataset
    Format: text/tab-separated-values, 11906 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 39
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    Aircraft measurements of refractory black carbon in the Arctic during flight P6_231_HALO_2022_2203290901 (RF06) of the HALO-(AC)³ campaign 2022 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-03
    Keywords: AC; AC3; aerosol; Aircraft; Arctic; Arctic Amplification; black carbon; Black carbon, refractory, aerosol; Black carbon, refractory, aerosol number concentration; CVI; DATE/TIME; Flag; Flight altitude; HALO - (AC)3; HALO-(AC)³; HALO-AC3_20220329_P6_RF06; LATITUDE; LONGITUDE; P6_231_HALO_2022; P6_231_HALO_2022_2203290901; Polar 6; POLAR 6; Single Particle Soot Photometer (SP2); SP2
    Type: Dataset
    Format: text/tab-separated-values, 26012 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 40
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    Aircraft measurements of refractory black carbon in the Arctic during flight P6_231_HALO_2022_2203200401 (RF01) of the HALO-(AC)³ campaign 2022 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-03
    Keywords: AC; AC3; aerosol; Aircraft; Arctic; Arctic Amplification; black carbon; Black carbon, refractory, aerosol; Black carbon, refractory, aerosol number concentration; CVI; DATE/TIME; Flag; Flight altitude; HALO - (AC)3; HALO-(AC)³; HALO-AC3_20220320_P6_RF01; LATITUDE; LONGITUDE; P6_231_HALO_2022; P6_231_HALO_2022_2203200401; Polar 6; POLAR 6; Single Particle Soot Photometer (SP2); SP2
    Type: Dataset
    Format: text/tab-separated-values, 16414 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 41
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    Unknown
    Aircraft measurements of refractory black carbon in the Arctic during flight P6_231_HALO_2022_2204011101 (RF08) of the HALO-(AC)³ campaign 2022 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-03
    Keywords: AC; AC3; aerosol; Aircraft; Arctic; Arctic Amplification; black carbon; Black carbon, refractory, aerosol; Black carbon, refractory, aerosol number concentration; CVI; DATE/TIME; Flag; Flight altitude; HALO - (AC)3; HALO-(AC)³; HALO-AC3_20220401_P6_RF08; LATITUDE; LONGITUDE; P6_231_HALO_2022; P6_231_HALO_2022_2204011101; Polar 6; POLAR 6; Single Particle Soot Photometer (SP2); SP2
    Type: Dataset
    Format: text/tab-separated-values, 20114 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 42
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    Aircraft measurements of refractory black carbon in the Arctic during flight P6_231_HALO_2022_2204101601 (RF13) of the HALO-(AC)³ campaign 2022 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-03
    Keywords: AC; AC3; aerosol; Aircraft; Arctic; Arctic Amplification; black carbon; Black carbon, refractory, aerosol; Black carbon, refractory, aerosol number concentration; CVI; DATE/TIME; Flag; Flight altitude; HALO - (AC)3; HALO-(AC)³; HALO-AC3_20220410_P6_RF13; LATITUDE; LONGITUDE; P6_231_HALO_2022; P6_231_HALO_2022_2204101601; Polar 6; POLAR 6; Single Particle Soot Photometer (SP2); SP2
    Type: Dataset
    Format: text/tab-separated-values, 20356 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 43
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    Unknown
    Aircraft measurements of refractory black carbon in the Arctic during flight P6_231_HALO_2022_2203301001 (RF07) of the HALO-(AC)³ campaign 2022 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-03
    Keywords: AC; AC3; aerosol; Aircraft; Arctic; Arctic Amplification; black carbon; Black carbon, refractory, aerosol; Black carbon, refractory, aerosol number concentration; CVI; DATE/TIME; Flag; Flight altitude; HALO - (AC)3; HALO-(AC)³; HALO-AC3_20220330_P6_RF07; LATITUDE; LONGITUDE; P6_231_HALO_2022; P6_231_HALO_2022_2203301001; Polar 6; POLAR 6; Single Particle Soot Photometer (SP2); SP2
    Type: Dataset
    Format: text/tab-separated-values, 23834 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 44
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    Bihourly temperature and humidity measurements in the Abracurrie cave on the Nullarbor Plain, Australia (2021-2023) (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-03
    Description: We provide continuous bihourly temperature and humidity data (2021-2023) of five caves and two blowholes from an arid and one of the largest contiguous karst areas in the world, the Nullarbor Plain in south Australia. The data were recorded with ten TGP-4500 Tinytag Plus 2 self-contained temperature (resolution ±0.01°C or better with reading range from -25°C to +85°C) and relative humidity (resolution ±3.0% or better with reading range from 0% to 100%) data loggers, and are available in a spreadsheet form. The data have great potential to provide insight into karst underground processes, air mass movements, hydrogeology, speleothems and (palaeo)climate, current climatic changes, and biology. This data is largely a continuation of measurements beginning in 2021 (published in PANGAEA doi:10.1594/PANGAEA.939075), and additionally supplements Lipar & Ferk (2022; doi:10.3390/data7030030). Additional funding: Australian Speleological Federation Karst Conservation Fund (https://www.caves.org.au/conservation/karst-conservation-fund).
    Keywords: Abracurrie Cave; ASF-3; Australia; cave; cave climate; Comment; Date/Time local; humidity; Humidity, relative; Nullarbor Plain; Nullarbor Plain, Australia; Temperature; Temperature, air; Temperature and Humidity Data Logger, Gemini Data Loggers, Tinytag Plus 2 TGP-4500
    Type: Dataset
    Format: text/tab-separated-values, 27119 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 45
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    Multi sensor core logging data of sediment core GeoB24001-1 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Description: Multi sensor core logging (MSCL) data from gravity cores retrieved during RV SONNE Cruise SO272 generated at MARUM University Bremen; cores 24001-1, 24003-1, 24006-1, 24009-1, 24011-1. Data: CoreThickness, PwaveAmplitude, PWaveVelocity in m per second, GammaRayAttenuation Density in g per CC, Magnetic Susceptibility in SI10^-5. The gravity cores were retrieved from the Labuan and Gaggatt Basin spanning Plio-Pleistocene to Eocene sediments. MSCL data were generated at 1 cm steps at MARUM using a GEOTEK Multi-Sensor Core Logger, a automated system for measuring bulk density (GRA density), P-wave velocity and magnetic susceptibility at whole and split cores of sediment, in September and Oktober 2021. MSCL Data were obtained to characterise the physical properties of the sediment.
    Keywords: Center for Marine Environmental Sciences; data; Density, wet bulk; DEPTH, sediment/rock; GC; GeoB24001-1; Gravity corer; Kerguelen Plateau Sediment Drifts; Magnetic susceptibility, volume; MARUM; Multi-Sensor Core Logger (MSCL), GEOTEK; Multi sensor core logging data; RV Sonne cruise SO272; Section; Section position; SO272; SO272_6-1; Sonne_2; Southern Indian Ocean; Thickness; Velocity, compressional, amplitude; Velocity, compressional wave
    Type: Dataset
    Format: text/tab-separated-values, 6682 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 46
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    Multi sensor core logging data of sediment core GeoB24006-1 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Description: Multi sensor core logging (MSCL) data from gravity cores retrieved during RV SONNE Cruise SO272 generated at MARUM University Bremen; cores 24001-1, 24003-1, 24006-1, 24009-1, 24011-1. Data: CoreThickness, PwaveAmplitude, PWaveVelocity in m per second, GammaRayAttenuation Density in g per CC, Magnetic Susceptibility in SI10^-5. The gravity cores were retrieved from the Labuan and Gaggatt Basin spanning Plio-Pleistocene to Eocene sediments. MSCL data were generated at 1 cm steps at MARUM using a GEOTEK Multi-Sensor Core Logger, a automated system for measuring bulk density (GRA density), P-wave velocity and magnetic susceptibility at whole and split cores of sediment, in September and Oktober 2021. MSCL Data were obtained to characterise the physical properties of the sediment.
    Keywords: Center for Marine Environmental Sciences; data; Density, wet bulk; DEPTH, sediment/rock; GC; GeoB24006-1; Gravity corer; Kerguelen Plateau Sediment Drifts; Magnetic susceptibility, volume; MARUM; Multi-Sensor Core Logger (MSCL), GEOTEK; Multi sensor core logging data; RV Sonne cruise SO272; Section; Section position; SO272; SO272_13-1; Sonne_2; Southern Indian Ocean; Thickness; Velocity, compressional, amplitude; Velocity, compressional wave
    Type: Dataset
    Format: text/tab-separated-values, 1102 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 47
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    Multi sensor core logging data of sediment core GeoB24011-1 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Description: Multi sensor core logging (MSCL) data from gravity cores retrieved during RV SONNE Cruise SO272 generated at MARUM University Bremen; cores 24001-1, 24003-1, 24006-1, 24009-1, 24011-1. Data: CoreThickness, PwaveAmplitude, PWaveVelocity in m per second, GammaRayAttenuation Density in g per CC, Magnetic Susceptibility in SI10^-5. The gravity cores were retrieved from the Labuan and Gaggatt Basin spanning Plio-Pleistocene to Eocene sediments. MSCL data were generated at 1 cm steps at MARUM using a GEOTEK Multi-Sensor Core Logger, a automated system for measuring bulk density (GRA density), P-wave velocity and magnetic susceptibility at whole and split cores of sediment, in September and Oktober 2021. MSCL Data were obtained to characterise the physical properties of the sediment.
    Keywords: Center for Marine Environmental Sciences; data; Density, wet bulk; DEPTH, sediment/rock; GC; GeoB24011-1; Gravity corer; Kerguelen Plateau Sediment Drifts; Magnetic susceptibility, volume; MARUM; Multi-Sensor Core Logger (MSCL), GEOTEK; Multi sensor core logging data; RV Sonne cruise SO272; Section; Section position; SO272; SO272_19-1; Sonne_2; Southern Indian Ocean; Thickness; Velocity, compressional, amplitude; Velocity, compressional wave
    Type: Dataset
    Format: text/tab-separated-values, 4903 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 48
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    Stable isotope data from IODP Site 371-U1509 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Description: The onset of the first sustained Antarctic glaciation at the Eocene-Oligocene Transition (~34 Ma; EOT) was marked by several changes in calcareous nannofossils coinciding with long-term cooling and modifications in the sea-surface water structure. Here, we combined a high-resolution calcareous nannofossil assemblage data (%) with bulk geochemical data from IODP Site U1509 (New Caledonia Trough, Tasman Sea) in order to give an overview of the paleoclimatic and palaeoceanographic evolution of the study area.
    Keywords: 371-U1509A; Calcareous nannofossils; Calcium carbonate; DEPTH, sediment/rock; DSDP/ODP/IODP sample designation; Eocene-Oligocene Transition.; Exp371; Integrated Ocean Drilling Program / International Ocean Discovery Program; IODP; IODP Depth Scale Terminology; Isotope ratio mass spectrometry; Joides Resolution; Sample code/label; Tasman Frontier Subduction Initiation and Paleogene Climate; Tasman Sea; δ13C, carbonate; δ18O, carbonate
    Type: Dataset
    Format: text/tab-separated-values, 732 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 49
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    X-ray fluorescence core scanning data of sediment core GeoB24001-1 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Description: X-ray fluorescence (XRF) core scanning data from gravity cores retrieved during RV SONNE Cruise SO272 generated at MARUM University Bremen. XRF scanning was done on the split surface of the sediment cores to obtain the elemental composition from Aluminium to Uranium in order to geochemically characterise the bulk sediment composition. Cores were scanned with XRF core scanner III at MARUM University Bremen 09.12.2020 – 15.12.2020 and 23.-27.08.2021 using three runs (10kV, 30 kV and 50 kV). The gravity cores were retrieved from the Labuan and Gaggatt Basin spanning Plio-Pleistocene to Eocene sediments.
    Keywords: Aluminium, area, total counts; Barium, area, total counts; Barium/Strontium ratio; Bromine, area, total counts; Calcium, area, total counts; Calcium/Strontium ratio; Center for Marine Environmental Sciences; Copper, area, total counts; data; DATE/TIME; DEPTH, sediment/rock; GC; GeoB24001-1; Gravity core; Gravity corer; Iron, area, total counts; Kerguelen Plateau Sediment Drifts; Lead, area, total counts; Manganese, area, total counts; MARUM; Molybdenum, area, total counts; Niobium, area, total counts; Phosphorus, area, total counts; Potassium, area, total counts; Rubidium, area, total counts; RV Sonne cruise SO272; Section; Section position; Silicon, area, total counts; Silicon/Iron ratio; SO272; SO272_6-1; Sonne_2; Southern Indian Ocean; Strontium, area, total counts; Sulfur, area, total counts; Time, live; Time, real; Titanium, area, total counts; X-ray fluorescence core scanner (XRF) III, Bremen; XRF core scanner data; Zirconium, area, total counts
    Type: Dataset
    Format: text/tab-separated-values, 34488 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 50
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    X-ray fluorescence core scanning data of sediment core GeoB24004-1 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Description: X-ray fluorescence (XRF) core scanning data from gravity cores retrieved during RV SONNE Cruise SO272 generated at MARUM University Bremen. XRF scanning was done on the split surface of the sediment cores to obtain the elemental composition from Aluminium to Uranium in order to geochemically characterise the bulk sediment composition. Cores were scanned with XRF core scanner III at MARUM University Bremen 09.12.2020 – 15.12.2020 and 23.-27.08.2021 using three runs (10kV, 30 kV and 50 kV). The gravity cores were retrieved from the Labuan and Gaggatt Basin spanning Plio-Pleistocene to Eocene sediments.
    Keywords: Aluminium, area, total counts; Barium, area, total counts; Barium/Strontium ratio; Bromine, area, total counts; Calcium, area, total counts; Calcium/Strontium ratio; Center for Marine Environmental Sciences; Copper, area, total counts; data; DATE/TIME; DEPTH, sediment/rock; GC; GeoB24004-1; Gravity core; Gravity corer; Iron, area, total counts; Kerguelen Plateau Sediment Drifts; Lead, area, total counts; Manganese, area, total counts; MARUM; Molybdenum, area, total counts; Niobium, area, total counts; Phosphorus, area, total counts; Potassium, area, total counts; Rubidium, area, total counts; RV Sonne cruise SO272; Section; Section position; Silicon, area, total counts; Silicon/Iron ratio; SO272; SO272_11-1; Sonne_2; Southern Indian Ocean; Strontium, area, total counts; Sulfur, area, total counts; Time, live; Time, real; Titanium, area, total counts; X-ray fluorescence core scanner (XRF) III, Bremen; XRF core scanner data; Zirconium, area, total counts
    Type: Dataset
    Format: text/tab-separated-values, 1152 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 51
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    X-ray fluorescence core scanning data of sediment core GeoB24006-1 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Description: X-ray fluorescence (XRF) core scanning data from gravity cores retrieved during RV SONNE Cruise SO272 generated at MARUM University Bremen. XRF scanning was done on the split surface of the sediment cores to obtain the elemental composition from Aluminium to Uranium in order to geochemically characterise the bulk sediment composition. Cores were scanned with XRF core scanner III at MARUM University Bremen 09.12.2020 – 15.12.2020 and 23.-27.08.2021 using three runs (10kV, 30 kV and 50 kV). The gravity cores were retrieved from the Labuan and Gaggatt Basin spanning Plio-Pleistocene to Eocene sediments.
    Keywords: Aluminium, area, total counts; Barium, area, total counts; Barium/Strontium ratio; Bromine, area, total counts; Calcium, area, total counts; Calcium/Strontium ratio; Center for Marine Environmental Sciences; Copper, area, total counts; data; DATE/TIME; DEPTH, sediment/rock; GC; GeoB24006-1; Gravity core; Gravity corer; Iron, area, total counts; Kerguelen Plateau Sediment Drifts; Lead, area, total counts; Manganese, area, total counts; MARUM; Molybdenum, area, total counts; Niobium, area, total counts; Phosphorus, area, total counts; Potassium, area, total counts; Rubidium, area, total counts; RV Sonne cruise SO272; Section; Section position; Silicon, area, total counts; Silicon/Iron ratio; SO272; SO272_13-1; Sonne_2; Southern Indian Ocean; Strontium, area, total counts; Sulfur, area, total counts; Time, live; Time, real; Titanium, area, total counts; X-ray fluorescence core scanner (XRF) III, Bremen; XRF core scanner data; Zirconium, area, total counts
    Type: Dataset
    Format: text/tab-separated-values, 5200 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 52
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    X-ray fluorescence core scanning data of sediment core GeoB24008-1 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Description: X-ray fluorescence (XRF) core scanning data from gravity cores retrieved during RV SONNE Cruise SO272 generated at MARUM University Bremen. XRF scanning was done on the split surface of the sediment cores to obtain the elemental composition from Aluminium to Uranium in order to geochemically characterise the bulk sediment composition. Cores were scanned with XRF core scanner III at MARUM University Bremen 09.12.2020 – 15.12.2020 and 23.-27.08.2021 using three runs (10kV, 30 kV and 50 kV). The gravity cores were retrieved from the Labuan and Gaggatt Basin spanning Plio-Pleistocene to Eocene sediments.
    Keywords: Aluminium, area, total counts; Barium, area, total counts; Barium/Strontium ratio; Bromine, area, total counts; Calcium, area, total counts; Calcium/Strontium ratio; Center for Marine Environmental Sciences; Copper, area, total counts; data; DATE/TIME; DEPTH, sediment/rock; GC; GeoB24008-1; Gravity core; Gravity corer; Iron, area, total counts; Kerguelen Plateau Sediment Drifts; Lead, area, total counts; Manganese, area, total counts; MARUM; Molybdenum, area, total counts; Niobium, area, total counts; Phosphorus, area, total counts; Potassium, area, total counts; Rubidium, area, total counts; RV Sonne cruise SO272; Section; Section position; Silicon, area, total counts; Silicon/Iron ratio; SO272; SO272_15-1; Sonne_2; Southern Indian Ocean; Strontium, area, total counts; Sulfur, area, total counts; Time, live; Time, real; Titanium, area, total counts; X-ray fluorescence core scanner (XRF) III, Bremen; XRF core scanner data; Zirconium, area, total counts
    Type: Dataset
    Format: text/tab-separated-values, 2628 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 53
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    X-ray fluorescence core scanning data of sediment core GeoB24011-1 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Description: X-ray fluorescence (XRF) core scanning data from gravity cores retrieved during RV SONNE Cruise SO272 generated at MARUM University Bremen. XRF scanning was done on the split surface of the sediment cores to obtain the elemental composition from Aluminium to Uranium in order to geochemically characterise the bulk sediment composition. Cores were scanned with XRF core scanner III at MARUM University Bremen 09.12.2020 – 15.12.2020 and 23.-27.08.2021 using three runs (10kV, 30 kV and 50 kV). The gravity cores were retrieved from the Labuan and Gaggatt Basin spanning Plio-Pleistocene to Eocene sediments.
    Keywords: Aluminium, area, total counts; Barium, area, total counts; Barium/Strontium ratio; Bromine, area, total counts; Calcium, area, total counts; Calcium/Strontium ratio; Center for Marine Environmental Sciences; Copper, area, total counts; data; DATE/TIME; DEPTH, sediment/rock; GC; GeoB24011-1; Gravity core; Gravity corer; Iron, area, total counts; Kerguelen Plateau Sediment Drifts; Lead, area, total counts; Manganese, area, total counts; MARUM; Molybdenum, area, total counts; Niobium, area, total counts; Phosphorus, area, total counts; Potassium, area, total counts; Rubidium, area, total counts; RV Sonne cruise SO272; Section; Section position; Silicon, area, total counts; Silicon/Iron ratio; SO272; SO272_19-1; Sonne_2; Southern Indian Ocean; Strontium, area, total counts; Sulfur, area, total counts; Time, live; Time, real; Titanium, area, total counts; X-ray fluorescence core scanner (XRF) III, Bremen; XRF core scanner data; Zirconium, area, total counts
    Type: Dataset
    Format: text/tab-separated-values, 25344 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 54
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    Lightness data extracted from core images of sediment core GeoB24003-1 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Description: Field data: Lightness data extracted from core images of gravity corer sediments collected during project Kerguelen Plateau Sediment Drifts with RV Sonne Cruise SO272 in February and March 2020. Red, Green, Blue, Hue, Saturation, Lightness data were extracted from a 5 cm long and 0.2 mm wide area in the core center using the IGOR PRO software. The gravity cores were retrieved from the Labuan and Gaggatt Basin spanning Plio-Pleistocene to Eocene sediments. Lightness data were extracted to characterise the color of the sediment and document changes.
    Keywords: Center for Marine Environmental Sciences; Color, Hue; Color, L*, lightness; Color BLUE; Color GREEN; Color RED; DEPTH, sediment/rock; field data; GC; GeoB24003-1; Gravity core; Gravity corer; IGOR Pro software; Kerguelen Plateau Sediment Drifts; Lightness; MARUM; RV Sonne cruise SO272; Saturation; SO272; SO272_10-1; Sonne_2; Southern Indian Ocean
    Type: Dataset
    Format: text/tab-separated-values, 95274 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 55
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    Lightness data extracted from core images of sediment core GeoB24005-1 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Description: Field data: Lightness data extracted from core images of gravity corer sediments collected during project Kerguelen Plateau Sediment Drifts with RV Sonne Cruise SO272 in February and March 2020. Red, Green, Blue, Hue, Saturation, Lightness data were extracted from a 5 cm long and 0.2 mm wide area in the core center using the IGOR PRO software. The gravity cores were retrieved from the Labuan and Gaggatt Basin spanning Plio-Pleistocene to Eocene sediments. Lightness data were extracted to characterise the color of the sediment and document changes.
    Keywords: Center for Marine Environmental Sciences; Color, Hue; Color, L*, lightness; Color BLUE; Color GREEN; Color RED; DEPTH, sediment/rock; field data; GC; GeoB24005-1; Gravity core; Gravity corer; IGOR Pro software; Kerguelen Plateau Sediment Drifts; Lightness; MARUM; RV Sonne cruise SO272; Saturation; SO272; SO272_12-1; Sonne_2; Southern Indian Ocean
    Type: Dataset
    Format: text/tab-separated-values, 30276 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 56
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    Lightness data extracted from core images of sediment core GeoB24006-1 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Description: Field data: Lightness data extracted from core images of gravity corer sediments collected during project Kerguelen Plateau Sediment Drifts with RV Sonne Cruise SO272 in February and March 2020. Red, Green, Blue, Hue, Saturation, Lightness data were extracted from a 5 cm long and 0.2 mm wide area in the core center using the IGOR PRO software. The gravity cores were retrieved from the Labuan and Gaggatt Basin spanning Plio-Pleistocene to Eocene sediments. Lightness data were extracted to characterise the color of the sediment and document changes.
    Keywords: Center for Marine Environmental Sciences; Color, Hue; Color, L*, lightness; Color BLUE; Color GREEN; Color RED; DEPTH, sediment/rock; field data; GC; GeoB24006-1; Gravity core; Gravity corer; IGOR Pro software; Kerguelen Plateau Sediment Drifts; Lightness; MARUM; RV Sonne cruise SO272; Saturation; SO272; SO272_13-1; Sonne_2; Southern Indian Ocean
    Type: Dataset
    Format: text/tab-separated-values, 51708 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 57
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    Lightness data extracted from core images of sediment core GeoB24007-1 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Description: Field data: Lightness data extracted from core images of gravity corer sediments collected during project Kerguelen Plateau Sediment Drifts with RV Sonne Cruise SO272 in February and March 2020. Red, Green, Blue, Hue, Saturation, Lightness data were extracted from a 5 cm long and 0.2 mm wide area in the core center using the IGOR PRO software. The gravity cores were retrieved from the Labuan and Gaggatt Basin spanning Plio-Pleistocene to Eocene sediments. Lightness data were extracted to characterise the color of the sediment and document changes.
    Keywords: Center for Marine Environmental Sciences; Color, Hue; Color, L*, lightness; Color BLUE; Color GREEN; Color RED; DEPTH, sediment/rock; field data; GC; GeoB24007-1; Gravity core; Gravity corer; IGOR Pro software; Kerguelen Plateau Sediment Drifts; Lightness; MARUM; RV Sonne cruise SO272; Saturation; SO272; SO272_14-1; Sonne_2; Southern Indian Ocean
    Type: Dataset
    Format: text/tab-separated-values, 48828 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 58
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    Lightness data extracted from core images of sediment core GeoB24009-1 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Description: Field data: Lightness data extracted from core images of gravity corer sediments collected during project Kerguelen Plateau Sediment Drifts with RV Sonne Cruise SO272 in February and March 2020. Red, Green, Blue, Hue, Saturation, Lightness data were extracted from a 5 cm long and 0.2 mm wide area in the core center using the IGOR PRO software. The gravity cores were retrieved from the Labuan and Gaggatt Basin spanning Plio-Pleistocene to Eocene sediments. Lightness data were extracted to characterise the color of the sediment and document changes.
    Keywords: Center for Marine Environmental Sciences; Color, Hue; Color, L*, lightness; Color BLUE; Color GREEN; Color RED; DEPTH, sediment/rock; field data; GC; GeoB24009-1; Gravity core; Gravity corer; IGOR Pro software; Kerguelen Plateau Sediment Drifts; Lightness; MARUM; RV Sonne cruise SO272; Saturation; SO272; SO272_16-1; Sonne_2; Southern Indian Ocean
    Type: Dataset
    Format: text/tab-separated-values, 81342 data points
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  • 59
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    Lightness data extracted from core images of sediment core GeoB24011-1 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Description: Field data: Lightness data extracted from core images of gravity corer sediments collected during project Kerguelen Plateau Sediment Drifts with RV Sonne Cruise SO272 in February and March 2020. Red, Green, Blue, Hue, Saturation, Lightness data were extracted from a 5 cm long and 0.2 mm wide area in the core center using the IGOR PRO software. The gravity cores were retrieved from the Labuan and Gaggatt Basin spanning Plio-Pleistocene to Eocene sediments. Lightness data were extracted to characterise the color of the sediment and document changes.
    Keywords: Center for Marine Environmental Sciences; Color, Hue; Color, L*, lightness; Color BLUE; Color GREEN; Color RED; DEPTH, sediment/rock; field data; GC; GeoB24011-1; Gravity core; Gravity corer; IGOR Pro software; Kerguelen Plateau Sediment Drifts; Lightness; MARUM; RV Sonne cruise SO272; Saturation; SO272; SO272_19-1; Sonne_2; Southern Indian Ocean
    Type: Dataset
    Format: text/tab-separated-values, 216774 data points
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  • 60
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    Lightness data extracted from core images of sediment core GeoB24008-1 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Description: Field data: Lightness data extracted from core images of gravity corer sediments collected during project Kerguelen Plateau Sediment Drifts with RV Sonne Cruise SO272 in February and March 2020. Red, Green, Blue, Hue, Saturation, Lightness data were extracted from a 5 cm long and 0.2 mm wide area in the core center using the IGOR PRO software. The gravity cores were retrieved from the Labuan and Gaggatt Basin spanning Plio-Pleistocene to Eocene sediments. Lightness data were extracted to characterise the color of the sediment and document changes.
    Keywords: Center for Marine Environmental Sciences; Color, Hue; Color, L*, lightness; Color BLUE; Color GREEN; Color RED; DEPTH, sediment/rock; field data; GC; GeoB24008-1; Gravity core; Gravity corer; IGOR Pro software; Kerguelen Plateau Sediment Drifts; Lightness; MARUM; RV Sonne cruise SO272; Saturation; SO272; SO272_15-1; Sonne_2; Southern Indian Ocean
    Type: Dataset
    Format: text/tab-separated-values, 49620 data points
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  • 61
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    Multi sensor core logging data of sediment core GeoB24003-1 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Description: Multi sensor core logging (MSCL) data from gravity cores retrieved during RV SONNE Cruise SO272 generated at MARUM University Bremen; cores 24001-1, 24003-1, 24006-1, 24009-1, 24011-1. Data: CoreThickness, PwaveAmplitude, PWaveVelocity in m per second, GammaRayAttenuation Density in g per CC, Magnetic Susceptibility in SI10^-5. The gravity cores were retrieved from the Labuan and Gaggatt Basin spanning Plio-Pleistocene to Eocene sediments. MSCL data were generated at 1 cm steps at MARUM using a GEOTEK Multi-Sensor Core Logger, a automated system for measuring bulk density (GRA density), P-wave velocity and magnetic susceptibility at whole and split cores of sediment, in September and Oktober 2021. MSCL Data were obtained to characterise the physical properties of the sediment.
    Keywords: Center for Marine Environmental Sciences; data; Density, wet bulk; DEPTH, sediment/rock; GC; GeoB24003-1; Gravity corer; Kerguelen Plateau Sediment Drifts; Magnetic susceptibility, volume; MARUM; Multi-Sensor Core Logger (MSCL), GEOTEK; Multi sensor core logging data; RV Sonne cruise SO272; Section; Section position; SO272; SO272_10-1; Sonne_2; Southern Indian Ocean; Thickness; Velocity, compressional, amplitude; Velocity, compressional wave
    Type: Dataset
    Format: text/tab-separated-values, 2196 data points
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  • 62
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    Multi sensor core logging data of sediment core GeoB24009-1 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Description: Multi sensor core logging (MSCL) data from gravity cores retrieved during RV SONNE Cruise SO272 generated at MARUM University Bremen; cores 24001-1, 24003-1, 24006-1, 24009-1, 24011-1. Data: CoreThickness, PwaveAmplitude, PWaveVelocity in m per second, GammaRayAttenuation Density in g per CC, Magnetic Susceptibility in SI10^-5. The gravity cores were retrieved from the Labuan and Gaggatt Basin spanning Plio-Pleistocene to Eocene sediments. MSCL data were generated at 1 cm steps at MARUM using a GEOTEK Multi-Sensor Core Logger, a automated system for measuring bulk density (GRA density), P-wave velocity and magnetic susceptibility at whole and split cores of sediment, in September and Oktober 2021. MSCL Data were obtained to characterise the physical properties of the sediment.
    Keywords: Center for Marine Environmental Sciences; data; Density, wet bulk; DEPTH, sediment/rock; GC; GeoB24009-1; Gravity corer; Kerguelen Plateau Sediment Drifts; Magnetic susceptibility, volume; MARUM; Multi-Sensor Core Logger (MSCL), GEOTEK; Multi sensor core logging data; RV Sonne cruise SO272; Section; Section position; SO272; SO272_16-1; Sonne_2; Southern Indian Ocean; Thickness; Velocity, compressional, amplitude; Velocity, compressional wave
    Type: Dataset
    Format: text/tab-separated-values, 1883 data points
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  • 63
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    Water record of Magallana angulata F2 generation exposed to transgenerational ocean acidification during laboratory experiments in 2021/2022 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Description: The basic observed water characteristics (pH, temperature, salinity) of Magallana angulata (also known as Crassostrea angulata) F2 generation from larval stage to adult in the hatchery located in Zhanjiang, China (21.07°N, 110.74°E) for around one year. The F2 larvae were acquired by artificial fertilization of matured F1 generation (F1_8.1-7.4 and F1_7.4-8.1). Embryos from F1_8.1-7.4 were separated into two pH levels: F2_8.1-7.4-8.1 and F2_8.1-7.4-7.4. The embryos from F1_7.4-8.1 were separated into two pH levels: F2_7.4-8.1-8.1 and F2_7.4-8.1-7.4. There were four treatments for F2 generation and reared till 2022 to test the transgenerational OA effects on oyster biological responses. Low pH was driven by bubbling of CO2-enriched air mixed with ambient air into filter seawater in the treatment tanks. pH and temperature were monitored daily with pH meter (Mettler Toledo InLab®, Switzerland) calibrated with NBS standards. Salinity was monitored using a dual-scale refractometer (MingRui, China). The seawater was utterly changed every two days during larval stage and every week for juvenile stage.
    Keywords: Chamber number; Crassostrea angulata; Date/time end, experiment; Date/time start, experiment; Experimental treatment; HAND; Laboratory experiment; Magallana_angulata_F0; Ocean acidification; Oyster; pH meter, Mettler Toledo, Pro2Go Portable; Refractometer, Mingrui, LS10T; Salinity; Sampling by hand; Sampling date/time, experiment; Species, unique identification; Species, unique identification (Semantic URI); Species, unique identification (URI); Temperature, water; Transgenerational effect; Treatment: pH; Type of study; Wuchuan, China
    Type: Dataset
    Format: text/tab-separated-values, 15840 data points
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  • 64
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    Calcareous nannofossil data from IODP Site 371-U1509 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Description: The onset of the first sustained Antarctic glaciation at the Eocene-Oligocene Transition (~34 Ma; EOT) was marked by several changes in calcareous nannofossils coinciding with long-term cooling and modifications in the sea-surface water structure. Here, we combined a high-resolution calcareous nannofossil assemblage data (%) with bulk geochemical data from IODP Site U1509 (New Caledonia Trough, Tasman Sea) in order to give an overview of the paleoclimatic and palaeoceanographic evolution of the study area.
    Keywords: 371-U1509A; Blackites spp.; Bramletteius serraculoides; Calcareous nannofossils; Calcidiscus edgariae; Chiasmolithus altus; Chiasmolithus cf. altus; Chiasmolithus oamaruensis; Chiasmolithus spp.; Clausicoccus fenestratus; Clausicoccus spp.; Clausicoccus subdistichus; Coccolithus cachaoi; Coccolithus eopelagicus; Coccolithus miopelagicus; Coccolithus pelagicus; Coronocyclus nitescens; Counting, light microscope; Cribrocentrum cf. erbae; Cribrocentrum cf. reticulatum; Cribrocentrum reticulatum; Cyclicargolithus floridanus; DEPTH, sediment/rock; Depth, sediment/rock, bottom/maximum; Depth, sediment/rock, top/minimum; Dictyococcites aff. bisectus; Dictyococcites bisectus; Dictyococcites cf. filewiczii; Dictyococcites filewiczii; Dictyococcites hesslandii; Dictyococcites spp.; Discoaster barbadiensis; Discoaster cf. distinctus; Discoaster deflandrei; Discoaster distinctus; Discoaster robustus; Discoaster saipanensis; Discoaster spp.; Discoaster tanii; Discoaster tanii group; Discoaster tanii nodifer; DSDP/ODP/IODP sample designation; Eocene-Oligocene Transition.; Ericsonia formosa; Exp371; Helicosphaera bipuncta; Helicosphaera cf. huangii; Helicosphaera cf. leesiae; Helicosphaera cf. recta; Helicosphaera cf. wilcoxonii; Helicosphaera compacta; Helicosphaera euphratis; Helicosphaera lophota; Helicosphaera recta; Helicosphaera spp.; Helicosphaera wilcoxonii; Integrated Ocean Drilling Program / International Ocean Discovery Program; IODP; IODP Depth Scale Terminology; Isthmolithus recurvus; Joides Resolution; Lanternithus cf. minutus; Lanternithus minutus; Lanternithus spp.; Markalius apertus; Markalius inversus; Nannofossils, reworked fossil; Placoliths; Pontosphaera cf. pulchripora; Pontosphaera spp.; Reticulofenestra daviesii; Reticulofenestra spp.; Reticulofenestra umbilicus; Sample code/label; Sample ID; Sphenolithus akropodus; Sphenolithus cf. intercalaris; Sphenolithus cf. predistentus; Sphenolithus cf. spiniger; Sphenolithus cf. tribulosus; Sphenolithus distentus; Sphenolithus intercalaris; Sphenolithus moriformis group; Sphenolithus predistentus; Sphenolithus predistentus-distentus; Sphenolithus sp.; Sphenolithus spp.; Sphenolithus tribulosus; Tasman Frontier Subduction Initiation and Paleogene Climate; Tasman Sea; Thoracosphaera spp.; Umbilicosphaera spp.; Zygrhablithus bijugatus
    Type: Dataset
    Format: text/tab-separated-values, 10912 data points
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  • 65
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    Summarized list of all heat flow determinations on RV METEOR cruise M186 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Keywords: Azores; Azores Hot Vents; Center for Marine Environmental Sciences; Conductivity, thermal; Event label; heatflow; Heat flow; Heat-Flow probe; HF; Latitude of event; Longitude of event; M186; M186_12-1; M186_20-1; M186_26-1; M186_44-1; M186_47-1; M186_53-1; M186_66-1; M186_83-1; M186_85-1; MARUM; Meteor (1986); Sample code/label; Temperature gradient
    Type: Dataset
    Format: text/tab-separated-values, 280 data points
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  • 66
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    Marine heat flow data at station HF2241 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Keywords: Azores; Azores Hot Vents; Center for Marine Environmental Sciences; Conductivity, thermal; Depth, relative; DEPTH, sediment/rock; Event label; heatflow; Heat flow probe; Heat-Flow probe; HF; Integrated thermal resistance; M186; M186_20-1; MARUM; Meteor (1986); Sample code/label; Station label; Temperature, in rock/sediment
    Type: Dataset
    Format: text/tab-separated-values, 1134 data points
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  • 67
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    Marine heat flow data at station HF2240 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Keywords: Azores; Azores Hot Vents; Center for Marine Environmental Sciences; Conductivity, thermal; Depth, relative; DEPTH, sediment/rock; Event label; heatflow; Heat flow probe; Heat-Flow probe; HF; Integrated thermal resistance; M186; M186_12-1; MARUM; Meteor (1986); Sample code/label; Station label; Temperature, in rock/sediment
    Type: Dataset
    Format: text/tab-separated-values, 1512 data points
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  • 68
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    Marine heat flow data at station HF2242 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Keywords: Azores; Azores Hot Vents; Center for Marine Environmental Sciences; Conductivity, thermal; Depth, relative; DEPTH, sediment/rock; Event label; heatflow; Heat flow probe; Heat-Flow probe; HF; Integrated thermal resistance; M186; M186_26-1; MARUM; Meteor (1986); Sample code/label; Station label; Temperature, in rock/sediment
    Type: Dataset
    Format: text/tab-separated-values, 891 data points
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  • 69
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    Marine heat flow data at station HF2244 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Keywords: Azores; Azores Hot Vents; Center for Marine Environmental Sciences; Conductivity, thermal; Depth, relative; DEPTH, sediment/rock; Event label; heatflow; Heat flow probe; Heat-Flow probe; HF; Integrated thermal resistance; M186; M186_47-1; MARUM; Meteor (1986); Sample code/label; Station label; Temperature, in rock/sediment
    Type: Dataset
    Format: text/tab-separated-values, 946 data points
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  • 70
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    Marine heat flow data at station HF2249 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Keywords: Azores; Azores Hot Vents; Center for Marine Environmental Sciences; Conductivity, thermal; Depth, relative; DEPTH, sediment/rock; Event label; heatflow; Heat flow probe; Heat-Flow probe; HF; Integrated thermal resistance; M186; M186_85-1; MARUM; Meteor (1986); Sample code/label; Station label; Temperature, in rock/sediment
    Type: Dataset
    Format: text/tab-separated-values, 1029 data points
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  • 71
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    Marine heat flow data at station HF2248 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Keywords: Azores; Azores Hot Vents; Center for Marine Environmental Sciences; Conductivity, thermal; Depth, relative; DEPTH, sediment/rock; Event label; heatflow; Heat flow probe; Heat-Flow probe; HF; Integrated thermal resistance; M186; M186_83-1; MARUM; Meteor (1986); Sample code/label; Station label; Temperature, in rock/sediment
    Type: Dataset
    Format: text/tab-separated-values, 526 data points
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  • 72
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    Marine heat flow data at station HF2247 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Keywords: Azores; Azores Hot Vents; Center for Marine Environmental Sciences; Conductivity, thermal; Depth, relative; DEPTH, sediment/rock; Event label; heatflow; Heat flow probe; Heat-Flow probe; HF; Integrated thermal resistance; M186; M186_66-1; MARUM; Meteor (1986); Sample code/label; Station label; Temperature, in rock/sediment
    Type: Dataset
    Format: text/tab-separated-values, 389 data points
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  • 73
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    Marine heat flow data at station HF2245 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Keywords: Azores; Azores Hot Vents; Center for Marine Environmental Sciences; Conductivity, thermal; Depth, relative; DEPTH, sediment/rock; Event label; heatflow; Heat flow probe; Heat-Flow probe; HF; Integrated thermal resistance; M186; M186_53-1; MARUM; Meteor (1986); Sample code/label; Station label; Temperature, in rock/sediment
    Type: Dataset
    Format: text/tab-separated-values, 504 data points
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  • 74
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    Marine heat flow data at station HF2246 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Keywords: Azores; Azores Hot Vents; Center for Marine Environmental Sciences; Conductivity, thermal; Depth, relative; DEPTH, sediment/rock; Event label; heatflow; Heat flow probe; Heat-Flow probe; HF; Integrated thermal resistance; M186; M186_53-1; MARUM; Meteor (1986); Sample code/label; Station label; Temperature, in rock/sediment
    Type: Dataset
    Format: text/tab-separated-values, 654 data points
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  • 75
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    Nitrogen isotope record and TOC accumulation rates of sediment core GeoTü SL167 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Description: The data sets contains bulk organic data of sediment core GeoTü SL167. Total organic carbon and nitrogen measurements were carried out with an Euro EA3000 elemental analyser and δ15N measurements with a Thermo Scientific Flash EA1112 coupled to a Finnigan MAT 252 IRMS. Total organic carbon mass accumulation rates (TOC MAR) based on calculation using the organic carbon content and total mass accumulation rates. A description of the calculation of the total mass accumulations rates is given in Burdanowitz et al 2021. Gravity core GeoTü SL167, was retrieved at station no. 960 during R.V. METEOR cruise M74/1b in 2007 (Bohrmann et al., 2010) from the northwestern Arabian Sea off Oman, at 22°37.2'N, 59°41.5'E, 774 m water depth, core recovery 7.39 m. The sediment core was retrieved for the reconstruction of circulation and productivity changes in the eastern Mediterranean Sea during the late Quaternary with particular focus on changes in the Indian monsoon system.
    Keywords: Accumulation rate, total organic carbon per year; AGE; Age model; Arabian Sea; Calculated; CLICCS; Cluster of Excellence: Climate, Climatic Change, and Society; Denitrification; DEPTH, sediment/rock; Depth, sediment/rock, bottom/maximum; Depth, sediment/rock, top/minimum; Element analyzer, Thermo Scientific, Flash EA1112; coupled with a Finnigan MAT 252 IRMS; Gravity corer (Kiel type); M74/1b; M74/1b_960-1; Meteor (1986); n-alkanes; Oman Margin; OMZ; Quaternary; SL; SL 167; δ15N; δ15N, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 1846 data points
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  • 76
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    Age model of sediment core GeoTü SL167 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Description: The age model of sediment core GeoTü SL167 is based on 14C AMS measurements of planktonic foraminifera and is calibrated with the BACON v. 2.5.6 software for R (Blaauw & Christen, 2011) and a marine reservoir age of ΔR = 93 ± 61 years. The ΔR is based on the weighted mean of two regional marine reservoir corrections (Muscat) by Southon et al. (2002) using the marine calibration database (Reimer and Reimer, 2001, http://calib.org/marine/). Gravity core GeoTü SL167, was retrieved at station no. 960 during R.V. METEOR cruise M74/1b in 2007 (Bohrmann et al., 2010) from the northwestern Arabian Sea off Oman, at 22°37.2'N, 59°41.5'E, 774 m water depth, core recovery 7.39 m. The sediment core was retrieved for the reconstruction of circulation and productivity changes in the eastern Mediterranean Sea during the late Quaternary with particular focus on changes in the Indian monsoon system.
    Keywords: Age, 14C AMS; Age, 14C calibrated, BACON v. 2.5.6 (Blaauw and Christen, 2011); Age, dated; Age, dated standard deviation; Age model; Arabian Sea; Calendar age; Calendar age, maximum/old; Calendar age, minimum/young; CLICCS; Cluster of Excellence: Climate, Climatic Change, and Society; Denitrification; DEPTH, sediment/rock; Depth, sediment/rock, bottom/maximum; Depth, sediment/rock, top/minimum; Gravity corer (Kiel type); M74/1b; M74/1b_960-1; Meteor (1986); n-alkanes; Oman Margin; OMZ; Quaternary; SL; SL 167
    Type: Dataset
    Format: text/tab-separated-values, 147 data points
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  • 77
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    Heat flow data of METEOR cruise M186, Azores hot vents (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-01
    Description: Marine heat flow data from RV Meteor cruise M186. The GEOMAR project name is Azores Hot Vents. We used the 6 m Bremen heat probe with 21 channels @ 0.26 m spacing.
    Keywords: Azores; Center for Marine Environmental Sciences; heatflow; MARUM
    Type: Dataset
    Format: application/zip, 10 datasets
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  • 78
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    Cladocera abundance from sediment core Aguas_Verdes_2011 (2024)
    PANGAEA
    Details
    Publication Date: 2024-01-31
    Keywords: Age; AGE; Aguas_Verdes_2011; Alona quadrangularis; Alona rustica; Chydorus sphaericus; Counting 〉38 µm fraction; Daphnia pulex group; DEPTH, sediment/rock; Lake Aguas Verdes, Sierra Nevada, Spain; Sample code/label; Slide-hammer gravity corer
    Type: Dataset
    Format: text/tab-separated-values, 194 data points
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  • 79
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    Cladocera abundance from sediment core Borreguil_2011 (2024)
    PANGAEA
    Details
    Publication Date: 2024-01-31
    Keywords: Age; AGE; Alona quadrangularis; Alona rustica; Borreguil_2011; Chydorus sphaericus; Counting 〉38 µm fraction; Daphnia pulex group; DEPTH, sediment/rock; Lake Borreguil, Sierra Nevada, Spain; Sample code/label; Slide-hammer gravity corer
    Type: Dataset
    Format: text/tab-separated-values, 200 data points
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  • 80
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    Paleo±Dust: Quantifying uncertainty in paleo-dust deposition across archive types (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-21
    Description: Paleo±Dust is an updated compilation of bulk and 〈10-µm paleo-dust deposition rate with quantitative 1-σ uncertainties that are inter-comparable among archive types (lake sediment cores, marine sediment cores, polar ice cores, peat bog cores, loess samples). Paleo±Dust incorporates a total of 285 pre-industrial Holocene (pi-HOL) and 209 Last Glacial Maximum (LGM) dust flux constraints from studies published until December 2022. We also recalculate previously published dust fluxes to exclude data from the last deglaciation and thus obtain more representative constraints for the last pre-industrial interglacial and glacial end-member climate states. Metadata include all components necessary to derive dust deposition rate, including: age range, thickness, density, eolian content. We also include 1-sigma uncertainties on each of these components, and on the final bulk and 〈10-µm dust deposition rates. Specific notes for each site and a list of references are also included.
    Keywords: Dust flux; Holocene; Ice core; Lake sediment core; Last Glacial Maximum; Loess; Marine Sediment Core; Peat bog; Uncertainty
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 81
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    Meteorological synoptical observations from station Fukuoka (2023-09) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-21
    Keywords: Anemometer; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; FUA; Fukuoka; HYGRO; Hygrometer; Japan; Monitoring station; MONS; Pressure, atmospheric; Temperature, air; Thermometer; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 216000 data points
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  • 82
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    Radiosonde measurements from station Minamitorishima (2023-07) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-21
    Keywords: ALTITUDE; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; Minamitorishima; Minami-Torishima; MNM; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, Meisei, iMS; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 30428 data points
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  • 83
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    Radiosonde measurements from station Ishigakijima (2023-09) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-21
    Keywords: ALTITUDE; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; ISH; Ishigakijima; Japan; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, Meisei, iMS; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 29847 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 84
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    Unknown
    Radiosonde measurements from station Minamitorishima (2023-09) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-21
    Keywords: ALTITUDE; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; Minamitorishima; Minami-Torishima; MNM; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, Meisei, iMS; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 28103 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 85
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    Unknown
    Radiosonde measurements from station Ishigakijima (2023-07) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-21
    Keywords: ALTITUDE; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; ISH; Ishigakijima; Japan; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, Meisei, iMS; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 28491 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 86
    facet.materialart.
    Unknown
    Radiosonde measurements from station Abashiri (2023-09) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-21
    Keywords: Abashiri; ABS; ALTITUDE; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; Japan; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, Meisei, iMS; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 29036 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 87
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    Unknown
    Basic measurements of radiation at station Abashiri (2023-09) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-21
    Keywords: Abashiri; ABS; Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Japan; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 090203, WRMC No. 86002; Pyranometer, Kipp & Zonen, CMP22, SN 090073, WRMC No. 86003; Pyrgeometer, Kipp & Zonen, CGR4, SN 090112, WRMC No. 86004; Pyrheliometer, Kipp & Zonen, CHP 1, SN 140044, WRMC No. 86001; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 785083 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 88
    facet.materialart.
    Unknown
    Meteorological synoptical observations from station Abashiri (2023-09) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-21
    Keywords: Abashiri; ABS; Anemometer; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; Horizontal visibility; HYGRO; Hygrometer; Japan; Monitoring station; MONS; Pressure, atmospheric; Temperature, air; Thermometer; Visibility sensor; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 259040 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 89
    facet.materialart.
    Unknown
    Radiosonde measurements from station Minamitorishima (2023-08) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-21
    Keywords: ALTITUDE; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; Minamitorishima; Minami-Torishima; MNM; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, Meisei, iMS; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 27060 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 90
    facet.materialart.
    Unknown
    Meteorological synoptical observations from station Fukuoka (2023-07) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-21
    Keywords: Anemometer; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; FUA; Fukuoka; HYGRO; Hygrometer; Japan; Monitoring station; MONS; Pressure, atmospheric; Temperature, air; Thermometer; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 223200 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 91
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    Unknown
    Meteorological synoptical observations from station Ishigakijima (2023-09) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-21
    Keywords: Anemometer; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; Horizontal visibility; HYGRO; Hygrometer; ISH; Ishigakijima; Japan; Monitoring station; MONS; Pressure, atmospheric; Temperature, air; Thermometer; Visibility sensor; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 259200 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 92
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    Unknown
    Meteorological synoptical observations from station Minamitorishima (2023-07) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-21
    Keywords: Anemometer; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; HYGRO; Hygrometer; Minamitorishima; Minami-Torishima; MNM; Monitoring station; MONS; Pressure, atmospheric; Temperature, air; Thermometer; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 192027 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 93
    facet.materialart.
    Unknown
    Meteorological synoptical observations from station Minamitorishima (2023-09) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-21
    Keywords: Anemometer; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; HYGRO; Hygrometer; Minamitorishima; Minami-Torishima; MNM; Monitoring station; MONS; Pressure, atmospheric; Temperature, air; Thermometer; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 212522 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 94
    facet.materialart.
    Unknown
    Meteorological synoptical observations from station Abashiri (2023-07) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-21
    Keywords: Abashiri; ABS; Anemometer; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; Horizontal visibility; HYGRO; Hygrometer; Japan; Monitoring station; MONS; Pressure, atmospheric; Temperature, air; Thermometer; Visibility sensor; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 267615 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 95
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    Unknown
    Basic measurements of radiation at station Minamitorishima (2023-07) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-21
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Minamitorishima; Minami-Torishima; MNM; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 090232, WRMC No. 8002; Pyranometer, Kipp & Zonen, CMP 22, SN 090102, WRMC No. 8003; Pyrgeometer, Kipp & Zonen, CGR4, SN 090113, WRMC No. 8004; Pyrheliometer, Kipp & Zonen, CHP 1, SN 090144, WRMC No. 8001; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 819071 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 96
    facet.materialart.
    Unknown
    Basic measurements of radiation at station Minamitorishima (2023-08) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-21
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Minamitorishima; Minami-Torishima; MNM; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 090232, WRMC No. 8002; Pyranometer, Kipp & Zonen, CMP 22, SN 090102, WRMC No. 8003; Pyrgeometer, Kipp & Zonen, CGR4, SN 090113, WRMC No. 8004; Pyrheliometer, Kipp & Zonen, CHP 1, SN 090144, WRMC No. 8001; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 777246 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 97
    facet.materialart.
    Unknown
    Basic measurements of radiation at station Minamitorishima (2023-09) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-21
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Minamitorishima; Minami-Torishima; MNM; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 090232, WRMC No. 8002; Pyranometer, Kipp & Zonen, CMP 22, SN 090102, WRMC No. 8003; Pyrgeometer, Kipp & Zonen, CGR4, SN 090113, WRMC No. 8004; Pyrheliometer, Kipp & Zonen, CHP 1, SN 090144, WRMC No. 8001; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 811380 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 98
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    Unknown
    Basic measurements of radiation at station Abashiri (2023-07) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-21
    Keywords: Abashiri; ABS; Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Japan; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 090203, WRMC No. 86002; Pyranometer, Kipp & Zonen, CMP22, SN 090073, WRMC No. 86003; Pyrgeometer, Kipp & Zonen, CGR4, SN 090112, WRMC No. 86004; Pyrheliometer, Kipp & Zonen, CHP 1, SN 140044, WRMC No. 86001; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 847912 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 99
    facet.materialart.
    Unknown
    Meteorological synoptical observations from station Abashiri (2023-08) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-21
    Keywords: Abashiri; ABS; Anemometer; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; Horizontal visibility; HYGRO; Hygrometer; Japan; Monitoring station; MONS; Pressure, atmospheric; Temperature, air; Thermometer; Visibility sensor; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 267442 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 100
    facet.materialart.
    Unknown
    Radiosonde measurements from station Abashiri (2023-08) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-21
    Keywords: Abashiri; ABS; ALTITUDE; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; Japan; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, Meisei, iMS; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 31975 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
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