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57 results for “XRF”

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zenodo48/100

3D and assay data published in "XRF and 3D modelling on a composite Etruscan helmet"

The data presented here are published as part of the publication Emmitt, J.J., McAlister, A., Bawden, N., and J. Armstrong "XRF and 3D modelling on a composite Etruscan helmet" Applied Sciences. 11(17): 8026. DOI: 10.3390/app11178026. The methodology for the creation of the photogrammetry model is presented Emmitt et al. (2021a), and further information about the methods used to collect the pXRF data can be found in Emmitt et al. (2021b). The interpolation analysis is done using PyVista by Sullivan and Kaszynski (2019) The model is are published as a .ply file, the assay data is in a csv file with the corresponding location on the model, and a Juypter notebook for running the analysis. The PyVista Python package will be required (Sullivan and Kaszynski 2019). Contained here are: <ul> <li>Negau Helmet, Doug Gold Collection - 1x .ply</li> <li>Helmet assay points and data - 1x .csv</li> <li>Juypter Notebook - 1x .ipynb</li> </ul> Data are published with permission of Museo Nazionale Etrusco di Villa Giulia e Villa Poniatowski di Roma (Director Valentino Nizzo).

opencc-by-4.0Aug 2021View details →

zenodo44/100

IODP Expedition 391 Portable X-ray fluorescence (p-XRF)

Energy-Dispersive X-Ray Fluorescence (ED-XRF) is a rapid, non-destructive technique for determining qualitative and quantitative changes in chemical composition. Aboard the JOIDES Resolution, pXRF is used for measuring points on section halves, rock pieces, and sometimes powders. Spots are typically irradiated at multiple conditions to excite and measure a wide range of elements. The peak intensity changes (we do not provide concentrations) are then used to help recognize and define major chemo-stratigraphic units without the need for destructive sampling.

opencc-by-4.0Oct 2023View details →

zenodo44/100

IODP Expedition 391 X-ray fluorescence (XRF)

Elemental peak intensities in section halves were measured by an Avaatech X-ray fluorescence (XRF) Core Scanner postexpedition. Each measurement position may be measured at multiple XRF conditions in order to excite and measure specific ranges of elements (e.g., 10 kV and no filter for light elements). Peak intensity changes (concentrations not provided) are then used to help recognize and define major chemostratigraphic units without the need for destructive sampling. Data are presented in comma-delimited (CSV) files by section and by energy/instrumental conditions.

opencc-by-4.0Oct 2023View details →

zenodo44/100

IODP Expedition 383 Portable X-ray fluorescence (p-XRF)

opencc-by-4.0Jul 2021View details →

zenodo44/100

IODP Expedition 378 Portable X-ray fluorescence (p-XRF)

opencc-by-4.0Feb 2022View details →

zenodo44/100

JR100 Expedition 379T Site J1002 beryllium isotope, XRF element count and carbon isotope data sets

<h2>JR100 Expedition 379T Site J1002 beryllium isotope, XRF element count and carbon isotope data sets (Finalised 8th of April 2024)</h2> <h3>How to cite these data:</h3> The full data were published in Sproson et al., 2024. Sproson AD, Yokoyama Y, Miyairi Y, Aze T, Clementi VJ, Riechelson H, Bova SC, Rosenthal Y, Childress LB & Expedition 379T Scientists. Near-synchronous Northern Hemisphere and Patagonian ice sheet variation over the last glacial cycle. Nature Geoscience <a href="https://doi.org/10.1038/s41561-024-01436-y">https://doi.org/10.1038/s41561-024-01436-y</a> (2024). <h3>Files:</h3> Supplementary Table 1: Multiple linear regression results between 10Be/9Be ratios and sedimentation rate, K/Ca, Fe/Ca, Al/Ti (this study), Green/Blue (Li et al., 2022), and Global Mean Sea Level (Lambeck et al., 2014). The multiple linear regression was calculated using the MATLAB(R) function “regress”. Supplementary Table 2:  Age-depth model and beryllium isotope measurements for Site J1002. The age-depth model was calculated from radiocarbon dates and oxygen isotope stratigraphy (Li et al., 2022) using the BIGMACS modelling routine (Lee et al., 2022). Beryllium-9 and beryllium-10 were measured by Adam D. Sproson by HR-ICP-MS and AMS at the Atmosphere and Ocean Research Institute (Sproson et al., 2021) and University of Tokyo (Matsuzaki et al., 2007), respectively. 10Be/9Be* ratios were corrected for 10Be paleo-production following von Blanckenburg et al. (2015).  Supplementary Table 3: X-ray Fluorescence Ti, K, Fe, Ca, and Al element counts per second for Site J1002 measured at the Lamont-Doherty Earth Observatory by Vincent J. Clementi. Supplementary Table 4: Carbon isotope measurements for the benthic foraminifera, U. peregrina, measured at Rutgers University by Vincent J. Clementi. <h3>Format:</h3> Depth (m CCSF-A) = core composite depth below seafloor. Calendar age (kyr BP) = age in thousand years before present. [10Be]reac, [9Be]reac = the concentration of 10Be and 9Be in the reactive phase of marine sediments.  Sample ID = expedition sample designation specifying hole (e.g., A), core number (e.g., 1), type (i.e., H), section number (e.g., 1), and then section half (i.e., W). σ = standard deviation. <h3>References:</h3> Lambeck K, Rouby H, Purcell A, Sun Y, Sambridge M. Sea level and global ice volumes from the Last Glacial Maximum to the Holocene. Proceedings of the National Academy of Sciences. 2014;111(43):15296-15303.  Lee T, Rand D, Lisiecki LE, Gebbie G, Lawrence CE. Bayesian age models and stacks: Combining age inferences from radiocarbon and benthic δ18O stratigraphic alignment. EGUsphere. 2022;2022:1-29. Li C, Clementi VJ, Bova SC, et al. The sediment green‐blue color ratio as a proxy for biogenic silica productivity along the Chilean Margin. Geochemistry, Geophysics, Geosystems. 2022:e2022GC010350.  Matsuzaki H, Nakano C, Tsuchiya Y, et al. Multi-nuclide AMS performances at MALT. Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms. 2007;259(1):36-40.  Sproson AD, Aze T, Behrens B, Yokoyama Y. Initial measurement of beryllium‐9 using high‐resolution inductively coupled plasma mass spectrometry allows for more precise applications of the beryllium isotope system within the Earth Sciences. Rapid Communications in Mass Spectrometry. 2021;35(8):e9059.  Von Blanckenburg F, Bouchez J, Ibarra DE, Maher K. Stable runoff and weathering fluxes into the oceans over Quaternary climate cycles. Nature Geoscience. 2015;8(7):538-542.

opencc-by-4.0Apr 2024View details →

zenodo44/100

IODP Expedition 367 X-ray fluorescence (XRF)

opencc-by-4.0Sep 2018View details →

zenodo44/100

Characterization of SRF (XRF portable analyser) prepared for an aluminium scrap pre-heating system (REVaMP project)

Open access to experimental data generated by the REVaMP project (GA 869882, Horizon 2020, European Union) along the research of the combustion of a SRF, prepared from ASR, to be used as alternative fuel in a scrap pre-heater at an aluminium refinery plant. Research pertaining to WP1, Deliverable D1.  Underlying data for the publication Acha, E. et al. Combustion of a Solid Recovered Fuel (SRF) Produced from the Polymeric Fraction of Automotive Shredder Residue (ASR). Polymers 2021, 13, 3807. https://doi.org/10.3390/polym13213807. Data related to Figure 1 in the article. Subject: Representative samples of SRF were manually sorted into categories of plastics, wood, textile, foam and others, and directly analyzed by the Thermo Fisher Scientific portable analyser Niton™, X-Ray Fluorescence (XRF).

opencc-by-4.0Nov 2021View details →

zenodo44/100

IODP Expedition 379 Portable X-ray fluorescence (p-XRF)

opencc-by-4.0Feb 2021View details →

zenodo44/100

IODP Expedition 379 X-ray fluorescence (XRF)

opencc-by-4.0Feb 2021View details →

zenodo44/100

Factual Report on XRF Analysis Conducted on Bulk Sedimentary Rock Samples from the Mesohellenic Trough

Factual Report on XRF Analysis Conducted on Bulk Sedimentary Rock Samples from the Mesohellenic Trough – Project: PilotStratergy   Analysis date: 30.04.2024 Report date: 02.05.2024, Revision date: - Written by: Christos L. Stergiou, Geologist, PhD Reviewed by: Pavlos Tyrologou, Geologist, PhD Advice also: Previous factual report files “Report_SEM_Round1_Bulk samples.docx” and “Report_XRD_PilotStrategy03.04.2024.docx” for additional information on the mineralogy of the samples included in this report.   1. Materials and Methods Three (3) sedimentary rock samples originating from the Tsotyli (sample Tsot-1; marly SANDSTONE), Eptachori (sample Ept-2; fine GREYWACKE) and Pentalofos (sample Pent-3; greywacke) Formations of the Mesohellenic Trough were powdered and analyzed by X-ray fluorescence (XRF) to determine their mineralogical composition. The samples were field collected by hummer and obtained as rock chips. Pulps produced from the rock chip samples were formed into pressed pellets by mixing 2.4 g of the binder CEREOX® with 9.6 g of rock pulp (i.e. sample-to-wax binder ratio of 4:1). The mixed material was homogenized in a mechanical mixer working at 24 rpm for 15 minutes and then pressed at 5 kbr (Fig. 2). The XRF analysis was performed using Bruker S4-PIONEER with a wavelength-dispersive X-ray fluorescence (WDXRF) analytical system at the Department of Mineralogy-Petrology-Economic Geology, School of Geology, Aristotle University of Thessaloniki. The spectrometer uses an Rh lamp and a system of 5 crystals: LIF200, LIF220, LIF420, XS-55, and PET. It also has two detectors: a gas proportional counter and a scintillation counter. The X-ray beam was used at its maximum energy of 50-60 kV. The element lines that were measured were the Ka and La lines, depending on the element. The method includes corrections for overlaps and matrix effects. Analytical results are presented in Table 1, while major conclusions after XRF analysis are presented below by taking into consideration conclusions previously made after XRD and SEM-EDS analysis. Previous published investigations on these samples include geomechanical and petrophysical methods for the evaluation of the parent sedimentary formations to capture and store CO2 (Tyrologou et al. 2023).     Table 1. Bulk geochemical analyses of major and minor elements for the analyzed samples Tsot-1, Ept-2 and Pent-3 from the Mesohellenic Trough.   <div> <table> <tbody> <tr> <td> Element </td> <td> Tsot-1 </td> <td> Ept-2 </td> <td> Pent-3 </td> </tr> <tr> <td> wt.% </td> <td>   </td> <td>   </td> <td>   </td> </tr> <tr> <td> SiO2 </td> <td> 34.85 </td> <td> 36.25 </td> <td> 15.49 </td> </tr> <tr> <td> Al2O3 </td> <td> 7.18 </td> <td> 6.61 </td> <td> 2.9 </td> </tr> <tr> <td> Fe2O3 </td> <td> 2.66 </td> <td> 3.32 </td> <td> 1.22 </td> </tr> <tr> <td> CaO </td> <td> 30.27 </td> <td> 25.61 </td> <td> 42.42 </td> </tr> <tr> <td> MgO </td> <td> 4.23 </td> <td> 7.23 </td> <td> 5.98 </td> </tr> <tr> <td> Na2O </td> <td> 1.04 </td> <td> 0.74 </td> <td> 0.39 </td> </tr> <tr> <td> K2O </td> <td> 2.22 </td> <td> 1.39 </td> <td> 0.94 </td> </tr> <tr> <td> MnO </td> <td> 0.11 </td> <td> 0.11 </td> <td> 0.03 </td> </tr> <tr> <td> TiO2 </td> <td> 0.32 </td> <td> 0.39 </td> <td> 0.13 </td> </tr> <tr> <td> P2O5 </td> <td> 0.08 </td> <td> 0.1 </td> <td> 0.06 </td> </tr> <tr> <td> LOI </td> <td> 16.79 </td> <td> 17.89 </td> <td> 30.3 </td> </tr> <tr> <td> Total </td> <td> 99.75 </td> <td> 99.64 </td> <td> 99.86 </td> </tr> <tr> <td> ppm </td> <td>   </td> <td>   </td> <td>   </td> </tr> <tr> <td> Ba </td> <td> 189 </td> <td> 149 </td> <td> 66 </td> </tr> <tr> <td> Co </td> <td> 7.0 </td> <td> 13 </td> <td> 4.0 </td> </tr> <tr> <td> Cr </td> <td> 749 </td> <td> 1,680 </td> <td> 512 </td> </tr> <tr> <td> Cu </td> <td> 14 </td> <td> 23 </td> <td> 7.0 </td> </tr> <tr> <td> Ni </td> <td> 112 </td> <td> 221 </td> <td> 78 </td> </tr> <tr> <td> Rb </td> <td> 192 </td> <td> 95 </td> <td> 82 </td> </tr> <tr> <td> Sc </td> <td> bdl </td> <td> bdl </td> <td> bdl </td> </tr> <tr> <td> Sr </td> <td> 298 </td> <td> 342 </td> <td> 242 </td> </tr> <tr> <td> V </td> <td> 650 </td> <td> 990 </td> <td> 306 </td> </tr> <tr> <td> Zn </td> <td> 31 </td> <td> 38 </td> <td> 15 </td> </tr> <tr> <td> Zr </td> <td> 100 </td> <td> 113 </td> <td> 54 </td> </tr> </tbody> </table> </div> *LOI = Loss of ignition, bdl = below detection limit.   5. Conclusions The XRF analysis confirms suggestions and conclusions made on previously acquired SEM-EDS and XRD analytical results focusing on bulk samples obtained by hammering from marly SANDSTONE (Tsot-1) and greywacke (Ept-2, Pent-3) originating from the Tsotyli, Eptachori and Pentalofos Formations of the Mesohellenic Trough (Fig. 1). Bulk geochemical analysis reveals that calcium and silica are the most enriched elements (Table 1). Sample Tsot-1 (24.85 wt.% SiO2) is slightly siliceous in composition, sample Epth-2 (36.25 wt.% SiO2) is dominantly siliceous, while sample Pent-3 is dominantly calcareous in composition (42.42 wt.% CaO, Table 1). These results are complementary to the semi-quantitative estimates obtained by XRD analysis (cf. Report_XRD_PilotStrategy03.04.2024.docx). In sample Tsot-1, calcite content is 30 wt.%, while quartz (29 wt.%) and albite (19 wt.%) percentages sum to 50 wt.%, supporting the siliceous profile acquired by XRF. In sample Ept-2, quartz (37 wt.%) is the dominant mineral phase followed by calcite (29 wt.%), while in sample Pent-3, calcite (41 wt.%) is the more enriched mineral phase, supporting the obtained geochemical results where SiO2 is 36.25 wt.% in sample Ept-2 and CaO is 45.42 wt.% for sample Pent-3. In addition, the geochemical results support the suggested level of maturity of the analyzed samples with Etp-2 showing the highest and Pent-3 the lowest maturity. Finally, sample Ept-2 shows the highest enrichment in minor elements, including 1,680 ppm of Cr and 990 ppm of V (Table 1). Relative enrichments in these trace elements, as well as in Co, Cu, Ni and Zn could be related to the highest incorporation of detrital material related to the ophiolitic basement rocks of the Mesohellenic Trough. Variations in trace elements may be associated with minor mineral phases not detected by the XRD analysis and the SEM-EDS examination of bulk samples. The study of thin-polished sections under a plane polarized and an electron scanning microscope shall clarify the mineral composition of the samples and conclude the mineralogical and geochemical investigation.   6. References Tyrologou, Pavlos, et al. (2023). Progress for carbon dioxide geological storage in West Macedonia: A field and laboratory-based survey." Open Research Europe 3. https://doi.org/10.12688/openreseurope.15847.2

opencc-by-4.0May 2024View details →

zenodo44/100

Portable-XRF data of coastal sand for the Ria de Vigo (Spain): March/September 2023

Document compiling the X-Ray Fluorescence results, done on a Bruker S1 Titan X-Ray Fluorescence Analyser, of samples collected in the Ria de Vigo, in March and September 2023, on GEOexploration mode, with a 90-second beam. The multi-element average values of the tree analyses were calculated.

opencc-by-4.0Oct 2023View details →

zenodo44/100

MEZ-XRF publication raw data

This repository contains the raw data associated with the publication ''Multielement Z-tag imaging by X-ray fluorescence microscopy for next-generation multiplex imaging', <a href="https://www.nature.com/articles/s41592-023-01977-x">https://www.nature.com/articles/s41592-023-01977-x</a> The code associated with processing this data is available at https://github.com/BodenmillerGroup/MEZ_XRF

opencc-by-4.0Aug 2023View details →

zenodo40/100

Major and trace bulk sample and micro-XRF geochemistry, carbon and oxygen stable isotope compositions of magmatic and sedimentary rocks from Hovedøya Island, Oslo fjord, Norway.

This data set reports on the methodologies and results of geochemical analysis carried out on samples of magmatic rock, calcite and sedimentary rocks of Hovedoya Island, Oslo fjord, Norway, in the framework of the publication by Poppe et al. (2020; Geochemistry, Geophysics, Geosystems; <a href="https://doi.org/10.1029/2019GC008685">https://doi.org/10.1029/2019GC008685</a>). The major and trace element bulk sample geochemical analysis was carried at the Laboratoire G-Time, Université Libre de Bruxelles, Brussels (V. Debaille), the micro-XRF mapping and line scanning, was carried out at the laboratory of the Analytical and Environmental Geo-Chemistry (AMGC) group at the Vrije Universiteit Brussel (VUB), Brussels (N.J. de Winter, S. Poppe) and the stable isotope composition analysis was carried out as well at the AMGC laboratory (S. Poppe, S. Goderis), supervised by P. Claeys and M. Kervyn, in collaboration with P. Boulvias.  Data sheets are provided in .csv or .xlsx format and compressed folders containing .TIF images of µXRF elemental maps are attached. This data set also contains the complete data sets obtained for the construction of calibration curves for µXRF line scan analysis of rock samples of magmatic composition at the AMGC laboratory at VUB.

opencc-by-4.0Jan 2020View details →

zenodo40/100

Mid to late Pleistocene IODP Expedition 354 Bengal Fan 8⁰ North transect age models, sedimentation rate stack, magnetic susceptibility stack, and XRF data

Mid to late Pleistocene age models for the International Ocean Discovery Program (IODP) Expedition 354 8⁰ North drilling transect.  Stacked records of sedimentation rates and magnetic susceptibility.  U-channel XRF scans of calcareous clay sediments at Site U1452.   Abstract: We investigate chronology and age uncertainty for the middle to upper Pleistocene lower Bengal Fan using a novel age-depth modeling approach that factors litho-, magneto-, bio-, cyclo-, and seismic stratigraphic constraints, based on results from the International Ocean Discovery Program Expedition 354 Bengal Fan and analysis of the GeoB97-020/027 seismic line. The initial chronostratigraphic framework is established using regionally extensive hemipelagic sediment units and only age-depth models of fan deposits that respect the superposition of channel-levee systems between sites are accepted. In doing so, we reconstruct signals of regional sediment accumulation rate and lithogenic sediment input through the perspective of a two-dimensional ~320 km transect at 8⁰ N that are consistent with more distal and more ambiguous regional records. This chronology allows us to discuss the depositional history of the middle to upper Pleistocene lower Bengal Fan within the context of sea level, climate, and tectonic controls. We hypothesize, based on the timing of accumulation rate changes, that progradation and intensification of the Bengal Fan’s channel-levee system at 8⁰ N was largely driven by increases in sea level amplitude during this time. However, it is also possible this progradation was influenced by changes in Pleistocene climate and increased Himalayan erosion rates, driving greater sediment flux to the fan.

opencc-by-4.0Mar 2020View details →

zenodo40/100

CT, XRF, MSCL data and reconstructions in support of Reilly et al., (2019) Holocene break-up and reestablishment of the Petermann Ice Tongue, Northwest Greenland

Data sets include X-Ray Fluorescence (XRF), Computed Tomography (CT), and Multi-Sensor Core Logger (MSCL) data for cores collected from Petermann Fjord during the PETERMANN15 expedition of the Swedish Icebreaker Oden. Also, included are Fjord Ice-Rafted Debris (IRD) stacks and reconstructed Petermann Ice Tongue extents.   XRF data includes data for OD1507 cores, 02UW, 03UW, 03PC, 03TC, 04GC, 06PC, 10PC, 40TC, 40PC. CT number data and CT derived IRD counts includes data for OD1507 cores, 02UW, 03UW, 03PC, 03TC, 04GC, 06PC, 08GC, 10PC, 40TC, 40PC. MSCL data includes data for OD1507 cores, 01UW, 02UW, 03UW, 01GC, 03PC, 03TC, 04GC, 06PC, 06TC, 08GC, 10PC, 10TC, 11GC, 12GC, 14GC, 37PC, 37TC, 40PC, 40TC, 41GC

opencc-by-4.0Jun 2020View details →

zenodo40/100

IODP Expedition 368X XRF Summary

Elemental peak intensities in section halves were measured by an Avaatech X-ray fluorescence (XRF) Core Scanner postexpedition. Each measurement position may be measured at multiple XRF conditions in order to excite and measure specific ranges of elements (e.g., 10 kV and no filter for light elements). Peak intensity changes (concentrations not provided) are then used to help recognize and define major chemostratigraphic units without the need for destructive sampling. Data are presented in comma-delimited (CSV) files by section and by energy/instrumental conditions.

opencc-zeroJan 2021View details →

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Dataset results

3D and assay data published in "XRF and 3D modelling on a composite Etruscan helmet"

IODP Expedition 391 Portable X-ray fluorescence (p-XRF)

IODP Expedition 391 X-ray fluorescence (XRF)

IODP Expedition 383 Portable X-ray fluorescence (p-XRF)

IODP Expedition 378 Portable X-ray fluorescence (p-XRF)

JR100 Expedition 379T Site J1002 beryllium isotope, XRF element count and carbon isotope data sets

IODP Expedition 367 X-ray fluorescence (XRF)

Characterization of SRF (XRF portable analyser) prepared for an aluminium scrap pre-heating system (REVaMP project)

IODP Expedition 379 Portable X-ray fluorescence (p-XRF)

IODP Expedition 379 X-ray fluorescence (XRF)

Factual Report on XRF Analysis Conducted on Bulk Sedimentary Rock Samples from the Mesohellenic Trough

IODP Expedition 371 Portable X-ray fluorescence (p-XRF)

IODP Expedition 371 X-ray fluorescence (XRF)

IODP Expedition 397 Portable X-ray fluorescence (p-XRF)

Portable-XRF data of coastal sand for the Ria de Vigo (Spain): March/September 2023

MEZ-XRF publication raw data

Major and trace bulk sample and micro-XRF geochemistry, carbon and oxygen stable isotope compositions of magmatic and sedimentary rocks from Hovedøya Island, Oslo fjord, Norway.

Mid to late Pleistocene IODP Expedition 354 Bengal Fan 8⁰ North transect age models, sedimentation rate stack, magnetic susceptibility stack, and XRF data

CT, XRF, MSCL data and reconstructions in support of Reilly et al., (2019) Holocene break-up and reestablishment of the Petermann Ice Tongue, Northwest Greenland

IODP Expedition 368X XRF Summary

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Allen Brain Atlas

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