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88 results for “radiocarbon”
Table 1 for Radiocarbon and Stable Carbon Isotope Constraints on the Propagation of Vent CO2 to Fluid in the Acidic Kueishantao Shallow Water Hydrothermal System
<p>This table contains radiocarbon (<sup>14</sup>C) and stable carbon isotope (<sup>13</sup>C) compositions of CO<sub>2</sub> in vent gas, dissolved inorganic carbon and particulates of hydrothermal fluid from Kueishantao shallow water hydrothermal system, offshore northeastern Taiwan.</p>
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>
Results files for "End-to-end Bayesian analysis for summarizing sets of radiocarbon dates"
<p>These are the results files for the following peer-reviewed article:</p> <p>Price, M.H., J.M. Capriles, J. Hoggarth, R.K. Bocinsky, C.E. Ebert, and J.H. Jones, (2021). End-to-end Bayesian analysis for summarizing sets of radiocarbon dates. Journal of Archaeological Science.</p> <p>They were generated inside a Docker container as outlined in the README of this github repository:</p> <p>https://github.com/MichaelHoltonPrice/price_et_al_tikal_rc</p> <p>The analyses rely on an R package located in this github repository:</p> <p>https://github.com/eehh-stanford/baydem</p> <p>For the results archived here, the commits for each repository are:</p> <pre>price_et_al_tikal_rc 3ac1e35f4277ef878f8e3aac3d05159928a09a2b baydem 1220a60a860633b51f9f07cbff3eb78f458efc1a</pre>
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>
Changes in oceanic radiocarbon and CFCs since the 1990s
<p>This directory contains the MITgcm ECCOv4-TM simulation output used in "Changes in oceanic radiocarbon and CFCs since the 1990s" (Lester et al., 2023) submitted to the Journal of Geophysical Research: Oceans.</p> <p>Ocean tracer simulations were created using transports matrices (TMs) derived from state estimates from the Estimating the Climate and Circulation of the Ocean version 4 (ECCOv4) based on a global configuration of the MITgcm model (MITgcm ECCOv4-TM). The monthly-mean TMs and the transport matrix method was used to simulate CFC-11, CFC-12 and abiotic DIC and <sup>14</sup>C in DIC. CFC concentrations were converted to partial pressures (pCFC) by dividing by their solubility functions.<br> <br> Output is provided as Matlab .mat files. Files are named as MITgcm_ECCOv4TM_XXX.mat, where XXX is one of D14C, DIC14, DIC, pCFC11 and pCFC12 and contains annual mean fields for:</p> <ul> <li>Delta-14C [per mil],</li> <li>DIC14 concentration [mol/m<sup>3</sup>],</li> <li>DIC concentration [mol/m<sup>3</sup>],</li> <li>pCFC-11 concentration [ppt] and</li> <li>pCFC-12 concentration [ppt] respectively.</li> </ul> <p>For full details about the simulations and results see Lester et al. (2023).</p>
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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Radiocarbon in Bulk and Respired CO2 from the Cowlitz River Chronosequence, Washington, USA
<p>This is part of a study that measured radiocarbon in bulk soil carbon and CO2 respired in incubations from a soil chronosequence on andesite. The study sites are the same ones that are reported in Lawrence et al. 2015 (reference below). However, the soils reported in Lawrence et al. 2015 were sampled in 2010. The samples reported here (previously unpublished) were collected. in 2009. The incubations were performed at the University of California Irvine; the bulk soil samples were collected at the same time but splits were analyzed separately. </p> <p>Corey R. Lawrence, Jennifer W. Harden, Xiaomei Xu, Marjorie S. Schulz, Susan E. Trumbore, (2015) Long-term controls on soil organic carbon with depth and time: A case study from the Cowlitz River Chronosequence, WA USA. Geoderma, V 247-248: p. 73-87, DOI: <a href="https://doi.org/10.1016/j.geoderma.2015.02.005">10.1016/j.geoderma.2015.02.005</a></p> <p> </p> <p>The associated ISRaD Template Information File provides the names and descriptions of all fields.</p>
[OBSOLETE] OCTOPUS Database v.2: The SahulArch Radiocarbon collection
<p>Database of published radiocarbon 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>
Soil radiocarbon from moist acidic tussock and erect shrub tundra at Toolik Field Station
<p>Soil radiocarbon data from one moist acidic tussock tundra and one erect shrub tundra (<em>Betula glandulosa</em>) site in the northern foothills of the Brooks Range near Toolik Field Station, AK, USA. Data covers the active layer. The tussock site is located on Itkillik I glacial deposits. The shrub site is a palsa within a riparian area, and likely underwent a relatively recent shift in vegetation cover from wet sedge to shrub. (The soil profile is made up of two different soil types within the active layer).</p>
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>
Dataset for: An optimised organic carbon / elemental carbon (OC/EC) fraction separation method for radiocarbon source apportionment applied to low-loaded Arctic aerosol filters
<p>Dataset contains raw data and R scripts to create the figures.</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>
Supplementary Tables: 14C dating and Compound Specific Radiocarbon Analyses
<p>The two Supplementary Tables contain results from <sup>14</sup>C dating and Compound Specific Radiocarbon Analysis (CSRA) carried out on long chain Fatty Acid Methyl Esters (FAMEs).</p>
Radiocarbon dates from houses of Fosie type
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Bulbula River archaeological sites radiocarbon dates
<p>Summary of Late Pleistocene and Early Holocene radiocarbon dates obtained for Bulbula River archaeological sites, Ethiopia (2008-2021, multiple laboratories, uncalibrated dates only).</p>
Text-fig. 6. Pollen diagram from Wielki Staw in the Giant Mts (Krkonoše Mts, Poland, Analysed by E. Břízová). Radiocarbon dating: 1 230 ± 66 BP (After Radiocarbon Laboratory). in Quillwort (Isoëtes), A Mysterious Plant From The Czech Republic
Text-fig. 6. Pollen diagram from Wielki Staw in the Giant Mts (Krkonoše Mts, Poland, Analysed by E. Břízová). Radiocarbon dating: 1 230 ± 66 BP (After Radiocarbon Laboratory).
Dataset: Timing the emergence and development of arable farming in Southeastern Norway by using summed probability distribution of radiocarbon dates and a Bayesian age model
<p>The repository contains radiocarbon data and code for the paper</p> <p>TIMING THE EMERGENCE AND DEVELOPMENT OF ARABLE FARMING IN 7 SOUTHEASTERN NORWAY BY USING SUMMED PROBABILITY DISTRIBUTION 8 OF RADIOCARBON DATES AND A BAYESIAN AGE MODEL</p> <p>Published in Radiocarbon 2021 (DOI:10.1017/RDC.2021.80) </p> <p>ABSTRACT. The paper explores the emergence and development of arable farming in southeastern Norway by 12 compiling and analyzing directly dated cereals from archaeological contexts. By using summed probability 13 distributions of radiocarbon dates and Bayesian modeling, the paper presents the first comprehensive analysis of 14 the directly dated evidence for farming in the region. The models provide a more precise temporal resolution to 15 the development than hitherto presented. The results demonstrate that the introduction of arable farming to 16 southeastern Norway was a long-term development including several steps. Three different stages are pointed out 17 as important in the process of establishing arable farming: the Early and Middle Neolithic, the Late Neolithic, and 18 the Early Iron Age.</p>
Radiocarbon ages of 6 ancient holm oaks growing in Montecristo Island, Italy
<p>Here we present radiocarbon dates of 6 large and ancient holm oak (Quercus ilex L.) trees collected in Montecristo Island (Tuscany, Italy), reported in the paper “Rediscovering Montecristo’s treasure: the island’s holm oaks reveal exceptional longevity” published in Ecology in 2023. The knowledge of the potential maximum lifespans of trees is a key trait for understanding ecosystem functioning and dynamics. However, old trees present often rotten and hollow trunks; moreover, in Mediterranean environment, false and missing rings can further complicate tree-ring studies. Radiocarbon dating is an interesting solution to overcome these problems. Rotten wood samples were collected from the inner and lowest part of each trunk as close as possible to the hypothesized root “collar” and pith. All the sampled wood fragments showed a moderate tree-ring curvature, but we were not able to calculate a reliable estimate of pith-offset (i.e. of the number of missing rings between the innermost annual increment samples and the pith). However, because of the pith offset and the vertical sampling distance from the collar (up to 1 m), radiocarbon dates may have underestimated tree age by a few decades. Radiocarbon dating was carried out by AMS (Accelerator Mass Spectrometry) at CEDAD, the “Centre of Applied Physics, Dating and Diagnostics”, University of Salento, Lecce, Italy. The difference between the calibrated radiocarbon ages and the year 2022 CE was used to calculate the age of each tree. The calculated age range is between 444±90 (probability 92.3%) calendar years for the youngest sampled tree and 761±42 (probability 91.7%) calendar years for the oldest one.</p>
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