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74 results for “Sediment Core”
Woerthersee sediment core data for the publication "Validation of seismic hazard curves using a calibrated 14 ka lacustrine record in the Eastern Alps, Austria"
<p>This dataset comprises sediment core data of Wörthersee, a lake in the Eastern European Alps, Austria. Together with a dataset comprising the seismic data (10.5281/zenodo.6479186), this is the basis for the publication Daxer et al. "Validation of seismic hazard curves using a calibrated 14 ka lacustrine record in the Eastern Alps, Austria".</p> <p>The files contain the following data:</p> <ul> <li>Core images Long Cores.zip: Core images of the Wörthersee Kullenberg-type long cores acquired with an ITRAX core scanner</li> <li>Core images Short Cores.zip: Core images of the Wörthersee gravity short cores (hammer-coring or trigger cores of the Kullenberg system) acquired with an ITRAX core scanner; provided as .tif files</li> <li>CT data WOER18-L5-X-Dicom.zip: X-ray computed tomography data acquired with a Siemens SOMATOM Definition AS (voxel size 0.2 x 0.2 x 0.3 mm); provided in DICOM format</li> <li>MSCL data.zip: Data acquired with a Geotek Multi-sensor core logger (e.g. magnetic susceptibility and gamma density); provided as Excel spreadsheets</li> <li>XRF data.zip: X-ray fluorescence data acquired with a ITRAX core scanner; provided in .csv format</li> </ul>
Radiocarbon, Tephra, and Paleomagnetic Data from 5 Northern North Atlantic Sediment Cores to support Reilly et al. 2023, "The Amplitude and Timescales of 0-15 ka Paleomagnetic Secular Variation in the Northern North Atlantic."
<p>Data in support of Reilly et al., 2023, "The Amplitude and Timescales of 0-15 ka Paleomagnetic Secular Variation in the Northern North Atlantic." Published in the Journal of Geophysical Research: Solid Earth.</p> <p> </p> <p>Excel file includes worksheets for the following data:</p> <p>Tabular versions of the Supplementary Data Tables from the associated publication:</p> <ul> <li>Supplementary Table S1 from Publication: 14C data from sediment cores used in study</li> <li>Supplementary Table S2 from Publication: 14C data used in the GREENICE15 Stack</li> <li>Supplementary Table S3 from Publication: Tephra data used in study</li> </ul> <p>Paleomagnetic Datasets for the Characteristic Remanent Magnetizations used in this study:</p> <ul> <li>Paleomagnetic Data for Core MD99-2264</li> <li>Paleomagnetic Data for Core MD99-2265</li> <li>Paleomagnetic Data for Core MD99-2266</li> <li>Paleomagnetic Data for Core MD99-2269</li> <li>Paleomagnetic Data for Core MD99-2322</li> </ul> <p>Independent radiocarbon based Age Models for 5 cores used in this study:</p> <ul> <li>Independent Age Model for Core MD99-2264</li> <li>Independent Age Model for Core MD99-2265</li> <li>Independent Age Model for Core MD99-2266</li> <li>Independent Age Model for Core MD99-2269</li> <li>Independent Age Model for Core MD99-2322</li> </ul> <p>PSV Dynamic Time Warping (DTW) solutions of 3 cores to target curve, as described in publication</p> <ul> <li>DTW solution for MD99-2265 to target curve</li> <li>DTW solution for MD99-2266 to target curve</li> <li>DTW solution for MD99-2322 to target curve</li> </ul> <p>GREENICE15 PSV Stack</p> <ul> <li>Age model for GREENICE15 Stack using combined radiocarbon dates and correlated equivalent depth scale</li> <li>Inclination, Declination, and alpha 95 for the GREENICE15 PSV Stack</li> </ul>
Radionuclide, particle size and elemental geochemistry analysis results of the Poechos sediment core, northern Peru
<p>This database presents the particle size, elemental geochemistry and radionuclide analyses carried out on the 19CO3 core (IGSN number: 10.58052/IEFOU0009) collected in June 2019 in the Poechos reservoir (Peru). These results are part of the publication <em>" El Niño-Southern Oscillation (ENSO)-driven hypersedimentation in the Poechos Reservoir, northern Peru "</em> available via the following link: http://dx.doi.org/10.5194/egusphere-2022-1233</p> <p>Corresponding authors: anthony.foucher@lsce.ipsl.fr</p> <p>Particle size analysis was performed using a laser grain sizer Malvern Mastersizer 3000 allowing to measure the grain size distribution between 10 nm and 3.5 mm. Particle size was measured on the sandy layers identified along the core (n=19) Grain size parameters such as d10, d50, d90 and raw are present on the file: <em>Particle_size_POECHOS-reservoir_Foucher-et-al</em></p> <p>Sediment core sections were analyzed with an Avaatech X-Ray Fluorescence core scanner (XRF) available at the Laboratoire des Sciences du Climat et de l’Environnement (Gif-sur-Yvette, France) with a 0.5 cm resolution. These data are available on the file: <em>XRF_core_scanner_POECHOS-reservoir_Foucher-et-al</em></p> <p>Gamma spectrometry measurements were obtained using HPGe detectors (Canberra/Ortec) available at the Laboratoire des Sciences du Climat et de l’Environnement. Short-lived radionuclides (e.g., caesium-137 (137Cs) and excess of lead-210 (210Pbex)) were measured in 12 samples of dry sediment (≈10g) collected along the sedimentary sequence (approximatively every 40 cm). The data are available on the file: <em>Radionuclides_POECHOS-reservoir_Foucher-et-al</em></p>
Tomographic data of Trilobatus trilobus shells from central Atlantic core-top sediment samples
Open the record for dataset details and reuse information.
Petermann Fjord Sediment Core Computed Tomography (CT) Scans (Cruise OD1507)
<p>Computed tomography (CT) scans of sediment cores collected from Petermann Fjord during the PETERMANN15 expedition of the Swedish Icebreaker Oden, OD1507. Included cores, 03TC, 03PC, 04GC, 06PC, 08GC, 10PC, 10TC, 40PC, 40TC, and 41GC. Data include 2 mm thick coronal slices in DICOM format and SedCT products, including images and CT numbers.</p>
Data from: Tracing the effects of eutrophication on molluscan communities in sediment cores: outbreaks of an opportunistic species coincide with reduced bioturbation and high frequency of hypoxia in the Adriatic Sea
Estimating the effects and timing of anthropogenic impacts on the composition of macrobenthic communities is challenging because early 20th century surveys are sparse and the corresponding intervals in sedimentary sequences are mixed by bioturbation. Here, to assess the effects of eutrophication on macrobenthic communities in the northern Adriatic Sea, we account for mixing with dating of the bivalve Corbula gibba at two stations with high sediment accumulation (Po prodelta) and one station with moderate accumulation (Isonzo prodelta). We find that, first, pervasively bioturbated muds typical of highstand conditions deposited in the early 20th century were replaced by muds with relicts of flood layers and high content of total organic carbon (TOC) deposited in the late 20th century at the Po prodelta. The 20th century shelly muds at the Isonzo prodelta are amalgamated but also show an upward increase in TOC. Second, dating of C. gibba shells shows that the shift from the early to the late 20th century is characterized by a decrease in stratigraphic disorder and by an increase in temporal resolution of death assemblages from ~25-50 years to ~10-20 years in both regions. This shift reflects a decline in the depth of the fully-mixed layer from more than 20 cm to few centimeters. Third, the increase in abundance of the opportunistic species C. gibba and the loss of formerly abundant, hypoxia-sensitive species coincided with the decline in bioturbation, higher preservation of organic matter, and higher frequency of seasonal hypoxia in both regions. This depositional and ecosystem regime shift occurred in ~1950 AD. Therefore, the effects of enhanced food supply on macrobenthic communities were overwhelmed by oxygen depletion even when hypoxic conditions are limited to few weeks per year in the northern Adriatic Sea. Preservation of trends in molluscan abundance and flood events in sedimentary sequences was enhanced by eutrophication that reduced bioturbational mixing.
Data from: Detection of tephra layers in Antarctic sediment cores with hyperspectral imaging
Tephrochronology uses recognizable volcanic ash layers (from airborne pyroclastic deposits, or tephras) in geological strata to set unique time references for paleoenvironmental events across wide geographic areas. This involves the detection of tephra layers which sometimes are not evident to the naked eye, including the so-called cryptotephras. Tests that are expensive, time-consuming, and/or destructive are often required. Destructive testing for tephra layers of cores from difficult regions, such as Antarctica, which are useful sources of other kinds of information beyond tephras, is always undesirable. Here we propose hyperspectral imaging of cores, Self-Organizing Map (SOM) clustering of the preprocessed spectral signatures, and spatial analysis of the classified images as a convenient, fast, non-destructive method for tephra detection. We test the method in five sediment cores from three Antarctic lakes, and show its potential for detection of tephras and cryptotephras.
Excess 210Pb, 137C, total organic carbon content, HBI biomarkers (IPSO25, HBI III) and biogenic silica of marine deposits from sediment core 2018_R2_2F from Sheldon Cove, Antarctic Peninsula
<p><strong>Description</strong>: Sediment core 2018_R2_2F was collected from Sheldon Cove, Antarctic Peninsula (67.55°S 68.27°W) from a water depth of 177 m, in December 2018 as part of expedition JR18003 by the British Antarctic Survey aboard RV James Clark Ross (Sands et al. 2019). Total core length was 25 cm. The dataset presented here consists of: gamma spectrometry measurements of excess 210Pb (calculated as a difference between the total 210Pb and the average of 214Pb and 214Bi) and 137Cs; total organic carbon (TOC) content; biogenic silica (BSi) content; and HBI biomarker (IPSO25, HBI III) concentrations. The excess 210Pb and 137Cs were measured at the Institute of Geology at Adam Mickiewicz University in Poznań, Poland, using a gamma detector Canberra BE3830, cooled with cryostat Cryo-Pulse®5 plus. The detector is placed in 10 cm thick lead shield walls and is equipped with a remote detector chamber option (RDC-6 inches) for low energy background reduction. The detector was commercially characterized by ISOCS (In-Situ Object Calibration Software) and LabSOCS (Laboratory Sourceless Object Calibration Software). Efficiencies for measured geometries were determined using LabSOCS code applying all corrections for sample geometry, matrix, and container type, and were verified with IAEA standards measurements. The results (spectra) were analyzed in Canberra GENIE-2000 v. 3.3 gamma spectrometry software and are presented with 2-sigma uncertainty ranges (Szczuciński, submitted). TOC concentrations (given in %) were measured at the Faculty of Earth Sciences, University of Silesia, Poland, using an Eltra CS-500 IRanalyzer with a Total Inorganic Carbon module according to the procedure described in Racka et al. (2010). TOC was calculated as the difference between TC (total carbon) and TIC (total inorganic carbon). Each TOC sample was analysed in duplicate. Analytical precision and accuracy were better than ±2% for TC and ±3% for TIC. HBI biomarker preparation and analysis followed slightly modified (Pieńkowski et al. 2021) standard protocols (Belt 2012). HBI concentrations are given per weight of sediment (ng/g sed), and organic carbon content (μg/g OC) (Belt et al. 2012). Biogenic (opaline) silica (BSi) analysis on dried, homogenised samples followed Heiri et al. (2001) and Bechtel et al. (2007). Each BSi and TOC sample was analysed in duplicate; values are given in %. BSi and TOC standard deviation calculations are based on data from the replication.</p> <p><strong>References</strong> <br><br>* Bechtel, A., Woszczyk, M., Reischenbacher, D., Sachsenhoffer, R., Gratzer, R., Püttmann, W. Spychalski, W., 2007: Biomarkers and geochemical indicators of Holocene environmental changes in Lake Sarbsko (Poland). Org. Geoch. 38, 1112–1131. <br>* Belt, S.T., Brown, T.A., Navarro Rodriguez, A., Cabedo Sanz, P., Tonkin, A., Ingle, R. 2012. A reproducible method for the extraction, identification and quantification of the Arctic sea ice proxy IP25 from marine sediments. Anal. Methods 4, 705-713. <br>* Heiri, O., Lotter, A. F., Lemcke, G., 2001. Loss on ignition as a method for estimating organic and carbonate content in sediments: reproducibility and comparability of results. J. Paleolimnol. 25, 101-110. <br>* Pieńkowski, A.J., Husum, K., Belt, S.T., Ninnemann, U., Köseoğlu, D., Divine, D.V., Smik, L., Knies, J., Hogan, K., Noormets, R. 2021. Seasonal sea ice persisted through the Holocene Thermal Maximum at 80°N. Commun. Earth Environ. 2, 124. <br>* Racka, M., Marynowski, L., Filipiak, P., Sobstel, M., Pisarzowska, A., Bond, D.P.G., 2010: Anoxic Annulata events in the Late Famennian of the Holy Cross Mountains (Southern Poland): geochemical and palaeontological record. Palaeogeography, Palaeoclimatology, Palaeoecology 297(3-4), 549-575. <br>* Sands, C.J., Annett, A., Apeland, B., Barnes, D.K.A, Bascur, M., Bruning, P., Costa, M., Dadd, G., De Lecea, A., Ensor, N., Featherstone, A., Flint, G., Goodger, D., Guzzi, A., Howard, F., Hunter, D., Jenkins, S., Kender, S., Lincoln, B., Munoz-Ramirez C., Pienkowski, A., Retallick, K., Roman-Gonzalez, A., Scourse, J., Sheen, K., Whitaker, T., Williams, J., Zhao, L., Zwerschke, N., 2019: JR18003 Cruise Report. British Antarctic Survey, 132 pp. <br>* Szczuciński, W. (submitted): Applications of gamma-emitting isotopes (210Pb and 137Cs) for assessment of sedimentary processes – insights from studies of lake, deltaic and continental shelf deposits. <br><br><strong>Projects</strong> <br><br>* CHARME: CHanging AntaRctic Marine Environments, <strong>Web</strong>: <a title="Follow link" href="https://charme.amu.edu.pl/" target="_blank" rel="nofollow noopener">https://charme.amu.edu.pl/</a>, <strong>Award</strong>: Norwegian Financial Mechanism 2014-2021, UMO-2020/37/K/ST10/04127 <br><br><strong>File descriptions</strong>: Excel file with all data, as well as core details (coordinates and water depth).</p> <p><strong>Comment</strong>: This dataset is related to the following article which has been accepted for publication:</p> <p>Pieńkowski, Anna J.; Szczuciński, Witold; Breszka, Agnieszka; Chyleński, Maciej; Juras, Anna; Romel, Paulina; Rozwalak, Piotr; Trzebny, Artur; Dabert, Mirosława; Belt, Simon; Jagodziński, Robert; Smik, Lukas; Włodarski, Wojciech. Sedimentary ancient DNA and HBI biomarkers as sea-ice indicators: a complementary approach in Antarctic fjord environments. Limnology Oceanography Letters. doi: 10.1002/lol2.10395</p>
Utah Lake Sediment Core Data
<p>Files contain data collected from sediment core archives from 4 locations of Utah Lake, Utah.</p> <p>Core locations include Goshen Bay, Provo Bay, Bird Island, and North. Provo Bay cores were collected in both 2018, but due to poor chronology new cores were collected at an alternate location in 2020. The 2020 Provo Bay cores had satisfactory chronologies. </p> <p>Data include initial core descriptions (ICD), carbon and nitrogen mass and isotopes, geochemistry, diatom, pigments, and rock-eval pyrolysis. </p> <p>Publications (Journal articles, theses, and white papers) include all methods, data, and interpretations and should be cited along side the Zenodo data citation. </p>
A framework for 210Pb model selection and its application to 37 cores from Eastern Canada to identify the dynamics and drivers of lake sedimentation rates
<ul> <li>Radioisotopic and ancillary data (i.e., estimated temperature, precipitation and population in lake watersheds)</li> <li>R-code script used in the establishment of 210Pb framework along with example spreadsheet</li> </ul> <p>Original publication: Baud, A., Aulard, C., Ghanbari, H., Fradette, M., Antoniades, D., Del Giorgio, P., Huot, Y., Francus, P., Smol, J. & Gregory‐Eaves, I. (2022). A framework for 210Pb model selection and its application to 37 cores from Eastern Canada to identify the dynamics and drivers of lake sedimentation rates. Earth Surface Processes and Landforms. https:</p>
Considerations on premises of recent (< 120 years) sedimentation rate models with unsupported Pb210: a study case of sediment cores from mud shelf depocenters :: Supplementary data
<p>Supplementary data (Table S1) for the manuscript "Considerations on premises of recent (< 120 years) sedimentation rate models with unsupported <sup>210</sup>Pb: a study case of sediment cores from mud shelf depocenters".</p>
Sea-level fall driving enhanced hydrothermal and tectonic activities: evidence from a sediment core near the tectonic-controlled Tianxiu vent field, Carlsberg Ridge
<p>The dataset file is Table S1 and Table S2 in the supporting information of the article entitled "Sea-level fall driving enhanced hydrothermal and tectonic activities: evidence from a sediment core near the tectonic-controlled Tianxiu vent field, Carlsberg Ridge".</p>
Rock magnetic and geochemical data of marine sediment core MD00-2361
<p>This dataset includes original and unmixed isothermal remanent magnetization (IRM) curves, first-order reversal curve (FORC) diagrams and related geochemical data of marine sediment core MD00-2361.</p>
Coring tools have an effect on lithification and physical properties of marine carbonate sediments
<p>Physical Properties, micro-CT and SEM data in support of manuscript published in Scientific Drilling</p>
Data from: Tracing the effects of eutrophication on molluscan communities in sediment cores: outbreaks of an opportunistic species coincide with reduced bioturbation and high frequency of hypoxia in the Adriatic Sea
Open the record for dataset details and reuse information.
Data from: Detection of tephra layers in Antarctic sediment cores with hyperspectral imaging
Open the record for dataset details and reuse information.
Plant DNA metabarcoding record from a sediment core from Lake Naleng, southeastern Tibetan Plateau
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Mid to late-Holocene palynomorph, charcoal and sediment data from three middle and high-altitude sediment cores from the Kashmir Valley
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Results of coccolith assemblage and reconstructed primary productivity over the Holocene of marine sediment cores MD77-191 and MD98-2152
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Microbial diversity of sub-bottom sediment cores from a tropical reef system
<p>R code for analysing 16S of microbial communities from sub-bottom sediment cores</p>
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Allen Brain Atlas
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International Brain Laboratory public data
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OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.