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16 results for “radiocarbon data”
Bald cypress radiocarbon and dendrochronological data from trees located in the Altamaha Wildlife Management Area and on Sapelo Island, Georgia, USA
Ancient bald cypress trees buried under anoxic mud on the Altamaha Wildlife Management Area islands were sampled, prepared, radiocarbon dated, and the ringwidths measured for crossdating. Modern bald cypress samples were also obtained from Sapelo Island. Tree rings were measured using a Velmex and Measure J2X software and/or the ObjectJ extension of ImageJ. Measured radii were crossdated using visual dendrochronological methods and Cofecha software. Tree rings anchored to the present date back to 3161 B.C.E. and extend to 2016 C.E. In addition, the oldest two trees provide another 529 years of ringwidth data. This work was conducted under the National Science Foundation Doctoral Dissertation Improvement Award: Human Adaptation to Long Term Environmental Change (Award #1834682). All samples are part of the accessioned collections of the University of Georgia Laboratory's of Archaeology.
NEON Soil Radiocarbon Data
<p>Radiocarbon measurements for megapit profiles from 17 NEON sites:</p><p>"BART" "CLBJ" "DSNY" "JERC" "NIWO" "ONAQ" "RMNP" "SCBI" "SOAP" "TALL" "UKFS" "UNDE" "WREF" "OSBS" "HARV" "CPER" "DCFS"</p><p>Updated carbon concentrations missing from subset of samples and regularized "archiveID" strings to facilitate joins with other NEON megapit data. The "archiveID" field can be used to match data in the "perarchivesample" tables from NEON. </p>
Radiocarbon in the land and ocean components of the Community Earth System Model: data to prepare figures
<p>The files contain the data to plot the graphics displayed in the publication by Frischknecht, T., Ekici, A., Joos, F. Radiocarbon in the land and ocean components of the Community Earth System Model, Global Biogeochemical Cycles, 2022, in press.</p>
EXPLO. Sovjan 2021. Radiocarbon raw data from tree-rings
<p>Raw radiocarbon measurements from the tree-rings sampled from wooden elements from the archaeological site of Sovjan, Albania, measured in 2020 and presented in "<em>The Early Bronze Age dendrochronology of Sovjan (Albania): A first tree-ring sequence of the 24th – 22nd c. BC for the southwestern Balkans</em>", Maczkowski et al., 2021, DOI: <a href="http://dx.doi.org/10.1016/j.dendro.2021.125811">10.1016/j.dendro.2021.125811</a></p>
Radiocarbon Data from Middle Horizon Sites in the Upper Majes Valley, Arequipa Peru
<p>In 2019, fifteen AMS radiocarbon dates were obtained across four Middle Horizon (AD 600-1000) sites located in the upper Majes Valley in Arequipa, Peru. These include Wari contexts from the sites Pakaytambo and El Tambo, and local road waystations of Santa Rosa II and La Angostura. Dating of both construction and abandonment contexts indicate these sites correspond to the late Middle Horizon, a time of intense connectivity in the prehistoric Andes and Wari state expansionism.</p> <p>This data is a component of the PhD dissertation entitled <em>Networks of Empire: The Role of Infrastructure in Wari State Expansion in Arequipa, Peru (AD 600-1000)</em> by David A. Reid (University of Illinois at Chicago).</p> <p>Funding was provided by the National Science Foundation’s Doctoral Dissertation Research Improvement Award (#1854651).</p>
Dead Sea Scrolls data collection (images, labels, prediction plots) for dating ancient manuscripts using radiocarbon and AI-based writing style analysis
<p>The dataset is associated with the following article:<br>Title: <strong>Dating ancient manuscripts using radiocarbon and AI-based writing style analysis</strong><br>Authors: Mladen Popović, Maruf A. Dhali, Lambert Schomaker, Johannes van der Plicht, Kaare Lund Rasmussen, Jacopo La Nasa, Ilaria Degano, Maria Perla Colombini, and Eibert Tigchelaar<br><em>(Under review)</em></p> <p>This data set is collected for the ERC project:<br>The Hands that Wrote the Bible: Digital Palaeography and Scribal Culture of the Dead Sea Scrolls<br>PI: Mladen Popović<br>Grant agreement ID: 640497<br>Project website: <a href="https://cordis.europa.eu/project/id/640497">https://cordis.europa.eu/project/id/640497</a></p> <p> </p> <p><strong>Copyright (c) </strong> University of Groningen, 2024. All rights reserved.<br><strong>Disclaimer and copyright notice for all data contained on the *.tar.gz files:</strong></p> <p><strong>1)</strong> permission is hereby granted to use the data for research purposes. It is not allowed to distribute this data for commercial purposes.</p> <p><strong>2) </strong>provider gives no express or implied warranty of any kind, and any implied warranties of merchantability and fitness for purpose are disclaimed.</p> <p><strong>3) </strong>provider shall not be liable for any direct, indirect, special, incidental, or consequential damages arising out of any use of this data.</p> <p><strong>4) </strong>the user should refer to the first public article mentioned above on this data set.</p> <p><strong>5) </strong>the recipient should refrain from proliferating the data set to third parties external to his/her local research group. Please refer interested researchers to this site to obtain their own copy.</p> <p> </p> <p><strong>Organization of the data:<br></strong><em>(Update on 19 April 2024: OxCal data for accepted 2-sigma ranges are updated with the incusion and exclusion of minor peaks. New prediction plots are added after the model is trained with accepted 2-sigma ranges, including minor peaks. The old plots are also kept. <br><br><OLD Updates below; disregard><br>updated on 07-Feb-2024: OxCal data for selected ranges added in a new directory in addition to previously available original OxCal data. Enoch's prediction plots and test images are reorganized for easy access to the users.<br><OLD Updates above; disregard><br><br>Please use the files from this version and disregard the previous two versions: 10.5281/zenodo.10629480 and 10.5281/zenodo.8168210)</em></p> <p>There are four *.tar.gz files:</p> <p><em><strong>C14-Oxcal-data-updated.tar.gz</strong></em> contains one directory with radiocarbon data (OxCal [1] raw data) for all 30 manuscripts. Three additional directories contain name-corrected files for original OxCal data, files with accepted ranges, and files with accepted ranges including minor peaks. Please refer to the original article for details about OxCal data and the manuscripts. 25 out of 30 raw OxCal data are used (accepted ranges only) as the training labels during the training of Enoch, the date prediction model.</p> <p><em><strong>train-images-c14.tar.gz</strong></em> contains the clean and preprocessed (binarized, aligned, and arrangement corrected) training images for the 25 radiocarbon-dated training manuscripts (including 4Q52; 64 images in total). </p> <p><em><strong>test-images-all.tar.gz</strong></em> contains the clean and preprocessed test images for 135 previously undated manuscripts. The images are organized in three different directories: the first one with all 359 images for the 135 manuscripts, the second one with the selected 135 images, and the final one with 25 images to illustrate the poor quality of images. </p> <p><em><strong>Enoch-prediction-new-with-minor-peaks.tar.gz</strong></em> contains the new date prediction plots for each of the 135 test images, where Enoch was trained with the inclusion of minor peaks for the 2-sigma accepted ranges and with a data balancing threshold of 0.05. These plots are used by expert palaeographers' evaluation of Enoch's style-based date predictions of 135 previously undated manuscripts.</p> <p><em><strong>Enoch-predictions.tar.gz</strong></em> contains the date prediction plots for each of the 135 test images. There are two directories inside the *.tar.gz file:<br><br>- <em>prediction-plots-for-selected-135:</em> Prediction plots with data balancing threshold of 0.05. <br>- <em>extra-plots:</em> contains four additional directories:<br> - <em>Enoch-predictions-c14wo4Q52-balanced05:</em> Prediction plots with data balancing threshold of 0.05. <br> - <em>Enoch-predictions-c14wo4Q52-balanced10:</em> Prediction plots with data balancing threshold of 0.1.<br> - <em>Enoch-predictions-c14wo4Q52-unbalanced:</em> Unbalanced raw predictions.<br> - <em>Enoch-predictions-c14wo4Q52-combined:</em> Combined plots with all three prediction plots (unbalanced, 0.05, 0.1).<br>Please refer to the original article for more details.</p> <p>The updated code to run the plot is available here: <a href="https://doi.org/10.5281/zenodo.10998860">https://doi.org/10.5281/zenodo.10998860</a></p> <p><strong>If you have any questions, please get in touch with us:</strong><br>Mladen Popović <m.popovic(at)rug.nl><br>Maruf A. Dhali <m.a.dhali(at)rug.nl><br>Lambert Schomaker <l.r.b.schomaker(at)rug.nl></p> <p> </p> <p><strong>References:</strong><br>1. Bronk Ramsey, C. (2001). Development of the radiocarbon calibration program. <em>Radiocarbon</em>, <em>43</em>(2A), 355-363.</p>
Tracing Maize History in Northern Iroquoia through Radiocarbon Date Summed Probability Distributions Data
<p>These files contain the data used in the radiocarbon summed probability distribution and complementary analyses to create a history of maize (<em>Zea mays</em> ssp. <em>mays</em>) in Northern Iroquoia. Results piublished in:</p> <p>Hart, John P.. "Tracing Maize History in Northern Iroquoia Through Radiocarbon Date Summed Probability Distributions" <em>Open Archaeology</em>, vol. 8, no. 1, 2022, pp. 594-607. <a href="https://doi.org/10.1515/opar-2022-0256">https://doi.org/10.1515/opar-2022-0256</a></p> <p> </p>
Lithic, faunal, and radiocarbon dating data from Bukhtarma Cave, East Kazakhstan
<p>Data associated with the paper "<span>A newly dated late Pleistocene and Holocene archaeological assemblage from Bukhtarma Cave in the southern Altai piedmont, East Kazakhstan," containing the zooarchaeological identification and analysis, the lithic analysis, and the radiocarbon dates obtained from the 14C dating lab of the Curt Engelhorn Zentrum für Archäometrie, Mannheim, Germany (co-author S. Lindauer). </span></p>
Shuttle Radar Topography Mission digital elevation models, data points, radiocarbon dates, and geochemical data for the Rub' al Khali Desert
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Leaf radiocarbon data from two plant species in Saint Paul, Minnesota, USA 2020
<div> <div><span>Over half of Earth’s human population lives in urban areas, where pollution from carbon-based fossil fuel combustion threatens air quality and public health, and contributes significantly to the rapid increase of greenhouse gases. The isotopic composition of plant tissues can be used as a tool to estimate local variation in fossil fuel-derived carbon dioxide and thus contributions of fossil fuel combustion to the local atmosphere in urban anthromes. We present a case study that examines this variation in leaf modern radiocarbon content against a backdrop of historic discriminatory policies (here, ‘redlining’), within Saint Paul, Minnesota, USA. Radiocarbon values from leaves suggest varied distribution of atmospheric fossil fuel derived carbon emissions across Saint Paul greenspaces, with evidence of higher exposure near areas of high-volume traffic. Similar studies rarely measure plant material from both perennial and annual plants: here we report carbon values from leaves from a deciduous tree and an annual forb to compare function differences in carbon age. Isotopic carbon signatures in plant material capture evidence of emissions that may reveal unequal pollution exposure. </span></div> <div> </div> <div><span>Leaf samples were collected in August 2020 in Saint Paul, Minnesota, USA. Radiocarbon samples were run at UC-Irvine Keck AMS in Fall 2020. </span></div> <div> </div> <div><span>Accompanying article Heskel, Hrycyna et al. (2024) is published in <em>Plants, People, Planet</em> (specific information on the paper to be shared when available).</span></div> <div> </div> <div><strong><span>Plant Genus </span></strong><span><em>Fraxinus; Taraxacum</em> </span></div> <div><strong><span><span>HOLC: </span></span></strong><span><span>Identifying letter and color according to the sampling location based on historical Home Owner's Loan Corporation maps.</span></span></div> <div><strong><span><span>Site: </span></span></strong><span><span>Code for public park location. More specific details available in article. </span></span></div> <div><strong><span><span>Latitude: </span></span></strong><span><span>Sampling latitude </span></span></div> <div><strong><span><span>Longitude: </span></span></strong><span><span>Sampling longitude</span></span></div> <div><strong><span><span>Distance to major roadway (m): </span></span></strong><span><span>Distance from the sampling site to either a highway or major road (4 lanes or greater) in Saint Paul, in meters</span></span></div> <div><strong><span><span>Δ14C value: </span></span></strong><span><span>Measured value of leaf </span></span><span><span>Δ14C</span></span></div> <div><strong><span><span>Δ14C SD: </span></span></strong><span><span>Measured standard deviation of leaf </span></span><span><span>Δ14C</span></span></div> <div><strong><span><span>CO2-FF: </span></span></strong><span><span>amount of CO2 that is derived from fossil fuel combustion for each leaf sample. Details on this calculation is in the article. </span></span></div> <div> <table> <tbody> <tr> <td> </td> </tr> </tbody> </table> </div> <div> </div> </div>
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>
Data from: Plant radiocarbon across an urban-rural CO2 gradient matches surface and column CO2 observations
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Data from: Tropical Central African bomb radiocarbon reveals antiphase air-mass atmospheric fluxes and vegetation-growth relationships
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Soil radiocarbon data from a fire chronosequence near Delta Junction, Alaska
<p>Soil radiocarbon data sampled along a crown fire (stand replacing) chronosequence located near Delta Junction, Alaska, USA consisting of three sites that burned in 2010 (Gilles Creek fire), 2004 (Camp Creek fire), and about 100 years ago (control). </p>
Data for "Aqueous Gastropod Shells as Groundwater Radiocarbon Proxies"
<p>This document contains the data generated and used in the manuscript titled “EVALUATION OF AQUEOUS GASTROPOD SHELLS AS GROUNDWATER RADIOCARBON PROXIES ACROSS SPECIES AND SITES” with the DOI:10.1017/RDC.2022.103</p>
Data included in "Radiocarbon Measurements Reveal Underestimated Fossil CH4 and CO2 Emissions in London"
<p>CO2 and CH4 concentrations measured at Imperial College, radiocarbon measurements of sample collected, radiocarbon simulations using the Met Office NAME model coupled with EDGAR emission inventories. </p>
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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.