Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
14
datasets available to search
ShareScore release 0.9.0
Dataset results
14 results for “OSL”
[Luminescence Dataset] The loess sequence of Dolní Věstonice, Czech Republic: A new OSL‐based chronology of the last climatic cycle
<p><strong>Dolní Věstonice - Luminescence Dataset</strong></p> <table> <tbody> <tr> <td> <p><strong>Applicable Licence</strong></p> </td> <td> <p>CC-BY-NC</p> </td> </tr> <tr> <td> <p><strong>Data curators:</strong></p> </td> <td> <p>Markus Fuchs, Sebastian Kreutzer</p> </td> </tr> <tr> <td> <p><strong>Reference original work</strong></p> </td> <td> <p>Fuchs, M., Kreutzer, S., Rousseau, D. D., Antoine, P., Hatté, C., Lagroix, F., Moine, O., Gauthier, C., Svoboda, J., and Lisá, L.: The loess sequence of Dolní Věstonice, Czech Republic: A new OSL‐based chronology of the last climatic cycle, Boreas, 42, 664–677, https://doi.org/10.1111/j.1502-3885.2012.00299.x, 2013.</p> </td> </tr> <tr> <td> <p><strong>How to refer/cite this dataset</strong></p> </td> <td> <p>Please the information auto-generated by Zendo</p> </td> </tr> </tbody> </table> <p><strong>Scope</strong></p> <p>This dataset contains the original luminescence data used to create the chronostratigraphy of the Dolní Věstonice loess profile. By publishing this dataset, we aim to support studies on the general characteristics of luminescence behaviours of natural minerals and support the FAIR guidelines for data sharing. This data is primary <strong>unmodified measurement data with all the possible errors and typos!</strong></p> <p><em>Please note: The dataset was compiled with the greatest care. However, the dataset comes without any guarantee. Human errors are always possible. If you feel that, after reading the original study and this document, the metadata describing the dataset is insufficient, please contact the data curators so that this document can be updated accordingly. Contrary, the primary cannot be updated/modified!</em></p> <p><strong>Dataset structure</strong></p> <p>The dataset consists of sequence files (<code>SEQ</code>) and measurement data (<code>BIN</code>). To each <code>.bin</code> file, there should be one corresponding sequence file. Measurement data are tagged with sample names in the <code>.bin</code> file, e.g., unless, in case of mistakes, samples can be distinguished in the file. </p> <ul> <li> <p><code>...BIN/</code></p> <ul> <li> <p><code>BIN/A-VALUE/:</code>measurement data with <em>a</em>-value measurements; the alpha irradiation was partly done on an external source</p> </li> <li> <p><code>BIN/MAIN/</code> measurement data with data used to estimate the equivalent dose of each sample</p> </li> <li> <p><code>BIN/PREHEAT_PLATEAU</code> files with combined preheat and dose recovery test results</p> </li> <li> <p><code>BIN/MISC</code> various additional measurements as indicated by the name</p> </li> </ul> </li> <li> <p><code>...SEQ/</code></p> <ul> <li> <p><code>SEQ/A-VALUE/</code></p> </li> <li> <p><code>SEQ/MAIN</code></p> </li> <li> <p><code>SEQ/PREHEAT_PLATEAU</code></p> </li> <li> <p><code>SEQ/MISC</code></p> </li> </ul> </li> <li> <p><code>...DE_CSV_EXPORT</code> The extracted equivalent dose values from the measurements with uncertainties in s. </p> </li> </ul> <p><em>Please note that samples were partly measured on different machines. All files are selections; in the course of the study, we carried out various additional measurements, in particular, preliminary tests; those data are not included in the dataset to keep the dataset comprehensible. </em></p> <p><strong>Used abbreviations</strong></p> <p>Abbreviations as used in the measurement and sequence file names. For technical details, we refer to the original study and the reference therein.</p> <table> <tbody> <tr> <td> <p>ABBREVIATION</p> </td> <td> <p>TERM</p> </td> <td> <p>DESCRIPTION</p> </td> </tr> <tr> <td> <p><code>CG</code></p> </td> <td> <p>coarse grain</p> </td> <td> <p>refers to the used grain size fraction, here: 90-200 µm</p> </td> </tr> <tr> <td> <p><code>DRT</code></p> </td> <td> <p>dose-recovery test</p> </td> <td> <p>measurement data with dose recovery test results; in this study, such measurements were carried out in combination with different preheat settings</p> </td> </tr> <tr> <td> <p><code>FG</code></p> </td> <td> <p>fine grain</p> </td> <td> <p>refers to the used grain size fraction, here: 4-11 µm</p> </td> </tr> <tr> <td> <p><code>IRSLT</code></p> </td> <td> <p>Infrared stimulated test</p> </td> <td> <p>test for feldspar contamination</p> </td> </tr> <tr> <td> <p><code>LM</code></p> </td> <td> <p>linear modulation</p> </td> <td> <p>linearly modulated optically stimulated luminescence measurements</p> </td> </tr> <tr> <td> <p><code>MAIN</code></p> </td> <td> <p>main measurement</p> </td> <td> <p>usually, the measurement used to estimate the equivalent dose</p> </td> </tr> <tr> <td> <p><code>MG</code></p> </td> <td> <p>medium grain</p> </td> <td> <p>refers to the used grain size fraction, here: 38-63 µm</p> </td> </tr> <tr> <td> <p><code>mz</code></p> </td> <td> <p>Moritz</p> </td> <td> <p>Name of the used Risø OSL/TL DA-15 reader</p> </td> </tr> <tr> <td> <p><code>mx</code></p> </td> <td> <p>Max</p> </td> <td> <p>Name of the used Risø OSL/TL DA-15 reader</p> </td> </tr> <tr> <td> <p><code>NEU</code></p> </td> <td> <p>neu</p> </td> <td> <p>a German word translating to 'new'</p> </td> </tr> <tr> <td> <p><code>oDRT</code></p> </td> <td> <p>oDRT</p> </td> <td> <p>a typo for just <code>DRT</code></p> </td> </tr> <tr> <td> <p><code>PreaHeat</code></p> </td> <td> <p>preheat test</p> </td> <td> <p>test against different preheat temperatures</p> </td> </tr> <tr> <td> <p><code>Q</code></p> </td> <td> <p>quartz</p> </td> <td> <p>the measured mineral composition, often in combination with <code>CG</code> , <code>MG</code> , or F<code>G</code> . Example: <code>FGQ</code> : fine grain quartz</p> </td> </tr> </tbody> </table>
Cockpit noise Falcon 2000LXS TRH-OSL CleanSky2 VOICI Data 1
<p>Data file: <em>Recording 6_low_freq_boost_remove_speech_2_WoodPk_reinsert_16b.wav<br> Extended description file: <em>Cockpit noise Falcon 2000LXS TRH-OSL description.pdf</em></em></p> <p><strong>Scenario</strong>:</p> <p>Sound recording during flight Trondheim – Oslo by Rely AS 2018-09-13, using a Falcon 2000LXS (2017). The full flight, gate to gate, is included.</p> <p><strong>Recording and calibration</strong>:</p> <p>A MicW i436 microphone with windshield was placed just in front of the airplane throttle. The microphone was connected to an Apple iPod, operated by pilots. Signal sample values on the .wav -file can be converted to sound pressure in Pa by multiplying by 13.79.</p> <p><strong>Post-processing</strong>:</p> <ol> <li>The following signal components have been removed from the recording, and replaced by nearby background noise:<br> - Pilot speech<br> - ATC communication<br> - Voice messages automatically generated by the aircraft (e.g., altitude)</li> <li>The pitch trim confirmation signal has first been removed and then re-inserted at the correct level, but in a version recorded 30 cm from the cockpit loudspeakers.</li> <li>The recording setup has a high-pass function with cut-off at 150 Hz. A gentle boost has been applied below this frequency.</li> </ol>
Reconstructing dust provenance from quartz optically stimulated luminescence (OSL) and electron spin resonance (ESR) signals: Preliminary results on loess from around the world
<p>Dataset for publication</p> <p><strong>Reconstructing dust provenance from quartz optically stimulated luminescence (OSL) and electron spin resonance (ESR) signals: </strong></p> <p><strong>Preliminary results on loess from around the world</strong></p> <p> </p> <p>Quantitative provenance analysis studies are instrumental in understanding the tectonic and climatic processes that shape the earth’s landscape. Although the most abundant mineral in the sedimentary system is quartz, almost all studies in provenance analysis investigate accessory minerals. Quartz crystals contain a vast number of point defects, intrinsic or due to impurities. For a signal to be an accurate indicator of provenance one needs to show that it is either dose independent or reaches a quantifiable steady state characteristic of the source rock. For signals used by trapped charge dating methods (optically stimulated luminescence (OSL) and electron spin resonance (ESR)), the latter option is the feasible one. By using quartz samples collected from the Chinese Loess Plateau (Luochuan loess-paleosol section), we show that the laboratory and natural dose response curves of E`<sub>1</sub> and and peroxy electron spin resonance signals of quartz (as defined later) overlap and reach a steady state for doses over about 1000 Gy. For E’<sub>1</sub> signals we attribute this steady state to reaching an equilibrium state between diamagnetic oxygen vacancies (the oxygen deficiency centre (ODC), Si=Si<em>)</em> and paramagnetic oxygen vacancies (E’<sub>1</sub>). For sedimentary quartz irradiated naturally or artificially in this dose range we show a strong linear relationship with zero intercept between E’<sub>1</sub> and peroxy signals for samples worldwide, supporting the hypothesis that these defects are Frenkel pairs. Further, we show significant correlations between the optically stimulated (OSL) sensitivity and the above two mentioned ESR signals. The very strong correlations (Pearson`s r ˃0.9) between E’<sub>1</sub>, peroxy and OSL sensitivity remain valid after the samples have been heated for 15 min to 350 ˚C for E’<sub>1</sub> to reach its maximum value, believed to be a result of the conversion of diamagnetic oxygen vacancies to E’<sub>1</sub>, clearly suggesting a relationship between OSL sensitivity and oxygen vacancies in general. Samples collected from different loess sites around the world can be distinguished based on both these OSL and ESR properties. An empirical increase in OSL sensitivity as well as oxygen related defect concentrations is observed in areas where the source material has components with older detrital zircon U-Pb ages, inferring a positive correlation between OSL sensitivity, as well as the signal intensity for E<sub>1</sub>` and peroxy defects and the age of the source rocks.</p>
Investigations on single and multi-grain optically stimulated luminescence (OSL) sensitivity and electron spin resonance (ESR) signals in quartz derived from sandstones: Insights on provenance of quartz in ancient depositional systems
<p><span>Trapped charge techniques of luminescence and electron spin resonance (ESR) are classic tools for dating Quaternary deposits. Over the past decade, these techniques have been routinely applied to investigate provenance and /or the sedimentary history of grains based on the different luminescence and ESR characteristics of quartz. Of these, optically stimulated luminescence (OSL) sensitivity is one of the most widely investigated parameter for luminescence-based provenance approach. A majority of studies on this parameter are based on evaluation of multi-grain OSL sensitivity of the samples. This is particularly concerning because single-grain quartz luminescence studies have shown that the luminescence signal of a multi-grain aliquot is contributed by less than ~1-10% of the total grains. Since the sole criteria for discrimination of sources based on luminescence sensitivity relies on its intensity, therefore the results based on multi-grain analysis will most likely be skewed depending on the proportion and ‘brightness’ of a few grains. This demands a need to evaluate the potential of single-grain quartz OSL sensitivity in provenance studies. In this study, we investigate single and multi-grain quartz OSL sensitivities from compositionally different sandstones with well-characterised sources based on U-Pb zircon ages. We further complement this analysis with characterisation of ESR centres commonly used in quartz provenance, namely E’<sub>1</sub> and [AlO<sub>4</sub>]<sup>0</sup> centres. Our study shows that single-grain quartz OSL sensitivity can help distinguish between sediments that have a predominant input from a single source as compared to those with contribution from multiple sources, which otherwise cannot be inferred from multi-grain studies. Moreover, our results on characterisation of quartz-based ESR intensity of E’<sub>1</sub> and saturated [AlO<sub>4</sub>]<sup>0</sup> centres successfully differentiates between sandstones and further complements the luminescence-based characterisation. </span></p>
Trap parameters for the fast OSL signal component obtained through analytical separation for various quartz samples
<p>Dataset for article</p> <p>Trap parameters for the fast OSL signal component obtained through analytical separation for various quartz samples</p>
Supplementary Data for Manuscript 'Observing impacts on luminescence depth profile evolutions from surface altered quartzite using OSL laser scanning and controlled light exposed rock sampling techniques'
<p>The attached file contains supplementary documents offered in the Quaternary Geochronology manuscript 'Observing<strong> </strong>impacts on luminescence depth profile evolutions from surface altered quartzite using OSL laser scanning and controlled light exposed rock sampling techniques' for the LED2023 special issue. </p>
Appendix Data for Manuscript : Application of OSL surface exposure dating with the use of two-dimensional OSL laser scanning instruments and energy-dispersive x-ray spectroscopy
<p>Appendix Data for Manuscript 'Application of OSL surface exposure dating with the use of two-dimensional OSL laser scanning instruments and energy-dispersive x-ray spectroscopy'.</p>
Supplementary Data for Manuscript 'Observing impacts on luminescence depth profile evolutions from surface altered quartzite using OSL laser scanning and controlled light exposed rock sampling techniques'
<p>This file contains the supplementary data for the manuscript 'Observing impacts on luminescence depth profile evolutions from surface altered quartzite using OSL laser scanning and controlled light exposed rock sampling techniques'</p>
[OBSOLETE] OCTOPUS Database v.2: The SahulArch OSL collection
<p>Database of published optically stimulated luminescence (OSL) ages for archaeological records from Sahul. Sample locations were obfuscated within a radius of 25 km and spatial data includes sample locations as circular polygons. The data uses the WGS84/Pseudo-Mercator (EPSG: 3857) projected coordinate reference system. Sample metadata is comprehensive and includes bibliographic, contextual, and sample preparation and measurement related information.</p>
Supplementary Data for Manuscript : "Application of OSL surface exposure dating with the use of two-dimensional OSL laser scanning instruments and energy-dispersive x-ray spectroscopy'
<p>Contains all supplementary works mentioned in the manuscript.</p>
Supplementary Documents for Manuscript 'Investigating the use of two-dimensional OSL laser scanning instruments and energy-dispersive x-ray spectroscopy for OSL exposure dating'
<p>Appendix Data for Manuscript 'Investigating the use of two-dimensional OSL laser scanning instruments and energy-dispersive x-ray spectroscopy for OSL exposure dating' - with added "Readme's" for relevant databases.</p>
Supplementary Documents for Manuscript 'Investigating the use of two-dimensional OSL laser scanning instruments and energy-dispersive x-ray spectroscopy for OSL exposure dating'
<p>This file contains all the supplementary material for the manuscript 'Investigating the use of two-dimensional OSL laser scanning instruments and energy-dispersive x-ray spectroscopy for OSL exposure dating' sent to Radiation Measurements on 8/20/2023.</p>
OSL Data
Open the record for dataset details and reuse information.
COMPARISON OF OSL AND TL DOSEMETERS WITH DATA COLLECTED AT THE MT25 CYCLIC ELECTRON ACCELERATOR
<p>Data in the plot published in "COMPARISON OF OSL AND TL DOSEMETERS WITH DATA COLLECTED AT THE MT25 CYCLIC ELECTRON ACCELERATOR"</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
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.