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4 results for “Radiocarbon modelling”
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>
Shuttle Radar Topography Mission digital elevation models, data points, radiocarbon dates, and geochemical data for the Rub' al Khali Desert
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Abiotic radiocarbon simulated in NEMO ocean model
<p>Following the Ocean Model Intercomparison Project (Orr et al., 1999, 2017), abiotic radiocarbon is simulated using the global ocean circulation model Nucleus for European Modelling of the Ocean (NEMO) version 3.6 (Madec, 2014), which is coupled to the Los Alamos sea-ice model (CICE, Rae et al., 2015). </p> <p>Simulation one, "Hist", was forced with inter-annually varying JRA-55-do atmospheric reanalysis data (version 1.5, Tsujino et al., 2018), which is available for the period 1958 through 2020 at 3-hour intervals, which is cycled over 1850 to 2020; and with historical atmospheric CO2 and ∆14C boundary conditions.</p> <p>The other simulation (”Hist-NYF”) was forced with the JRA-NY atmospheric data in every year, which is a one year chunk (01-May-1990 to 30-April-1991) from JRA-55-do (version 1.3) data when major climate modes such as the North Atlantic Oscillation, Southern Oscillation and Southern Annular Mode were largely neutral. </p> <p>The "Fix" simulation ran with fixed atmospheric CO2 and ∆14 C boundary conditions, using 1850 values and inter-annually varying JRA-55-do atmospheric reanalysis data.</p>
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>
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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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.