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35 results for “radiocarbon dating”
NERD (NEAR EAST RADIOCARBON DATES)
<p>The archive <strong>NERD</strong> provides a collation of <strong>11,072</strong> radiocarbon dates from <strong>1027</strong> archaeological sites in the Near East from the Late Pleistocene until the Late Holocene (15 - 1.5 cal. kyr BP). These dates have been collected from existing online digital archives, and electronic and print original publications. This is an <strong>ongoing dataset</strong> that will be updated step by step with new published radiocarbon dates. A detailed description of the present dataset is available via the following data paper: <strong>Palmisano, A., Bevan, A., Lawrence, D., and Shennan, S., 2022.<a href="https://openarchaeologydata.metajnl.com/articles/10.5334/joad.90/"> The NERD Dataset: Near East Radiocarbon Dates between 15,000 and 1,500 cal. yr. BP</a></strong>. <em>Journal of Open Archaeology Data</em>, <em>10</em>(2), 1-9.</p> <p>List of versions:</p> <ul> <li><strong>6.0</strong> 23 September 2022 — Removal of 12 duplicates and addition of 2 new dates (update of the files 'References.txt', 'nerd.csv', and 'Readme.md') on the basis of a data assessment on Cyprus dates provided by <a href="https://classics.cornell.edu/sturt-manning">Sturt Manning</a>.</li> <li><strong>5.0 </strong>25 March 2022 — 54 new dates added (update of the files 'References.txt', 'nerd.csv', and 'Readme.md').</li> <li><strong>4.0 </strong>8 December 2021 — 380 new dates added (update of the files 'References.txt', 'nerd.csv', and 'Readme.md').</li> <li><strong>3.0 </strong>7 April 2021 — 10 new dates added (update of the files 'References.txt', 'nerd.csv', and 'Readme.md').</li> <li><strong>2.0.</strong> 7 April 2021 — 31 new dates added (update of the files 'References.txt', 'nerd.csv', and 'Readme.md').</li> <li><strong>1.0 </strong> 6 April 2021 — First public release of the dataset on Zenodo</li> </ul>
A Comprehensive Radiocarbon Date Database from Archaeological Contexts on the Coastal Plain of Georgia
This database consists of radiocarbon dates from archaeological contexts on the coastal plain of Georgia (samples from strictly geological contexts were not included). A comprehensive search was performed to find the original sources of dates reported for all archaeological sites in this area. As such, dates reported from any time (i.e., 1960s to the present) were incorporated, which includes dates with problems. Data were compiled by John Turck and numerous undergraduate work study and volunteer students over a large period of time (from January 2012 to July 2012, and from January 2013 to April 2013). John Turck added to and refined the dataset between May 2013 and February 2014. In general, the database was structured so the information could be easily input into CALIB's online calibration program. It includes information such as: sample IDs, raw age and standard deviation, delta 13 correction factor, adjusted age and standard deviation, site number and name, material, association, and references. Calibrated dates were not entered into this databse. These data can be used to aid in archaeological studies, refining our understanding of the timing of human occupations throughout the coastal plain, and especially in the coastal zone. These data can also be used to aid geological, and geomorphological studies. The nature of the data is such that it will need to be continually added to as new samples are processesd, and further refined as more information about dates entered previosuly are obtained. Note: The original radiocarbon date database contains sensitive information (i.e., the specific location of archaeological sites) that is for professional archaeologists only. If a professional archaeologist needs site location information, they can contact the Georgia Archaeological Site File.
Neolithic/Copper Age radiocarbon dates from West Carpathian basin and East Alps
<p>Radiocarbon dates used in this study were collected from original publications including grey literature. The resulting database was cross-referenced with available radiocarbon databases to ensure the quality of data. We used the latest revision (2019) of CalPal database by Bernhardt Weninger (<em>B. Weninger et al.</em> 2019), EuroEvol database (<em>Manning et al.</em>2016), C14.sk database (<em>Barta et al.</em> 2013) and RADON database (<em>Martin Hinz et al.</em> 2012). </p> <p> </p> <p>Database structure consist of ten columns, from site name (Site), unique site code (Scode), site longitude and latitude (Lon and Lat) in degrees, country (Country), laboratory code (Labcode), the conventional radiocarbon date (Date) in years before present, standard deviation (SD), dated material (Mat) and bibliographic reference (Cit). Where possible, we referenced the radiocarbon database where the date is recorded, otherwise, the publication where the date is reported or referenced is cited. </p> <p> </p> <p>Many thanks to Bernhardt Weninger for kindly providing the latest version of CalPal database.</p> <p> </p> <p><strong>References </strong></p> <p> </p> <p>B. Weninger, Jöris O., Danzeglocke U. 2019. CalPal-2007. Cologne Radiocarbon & Palaeoclimatic Research Package. <em>http:\\www.calpal.de</em></p> <p>Manning K., Colledge S., Crema E., Shennan S., Timpson A. 2016. The Cultural Evolution of Neolithic Europe. EUROEVOL Dataset 1: Sites, Phases and Radiocarbon Data. <em>Journal of Open Archaeological Data </em>5:e2. DOI: http://doi.org/10.5334/joad.40</p> <p>Martin Hinz M.F., Johannes Müller, Dirk Raetzel-Fabian, Rinne C., Sjögren K.-G., Wotzka H.-P. 2012. RADON - Radiocarbon dates online 2012. Central European database of 14C dates for the Neolithic and Early Bronze Age. <em>http:\\www.jungsteinsite.de</em></p> <p>Barta P., Demján P., Hladíková K., Kmeťová P., Piatničková K. 2013. Database of radiocarbon dates measured on archaeological samples from Slovakia, Czechia, and adjacent regions. <em>http://www.c14.sk</em></p>
Towards new demography proxies and regional chronologies: Radiocarbon dates from archaeological contexts located in the Czech Republic covering the period between 10,000 BC and AD 1250 (dataset)
<p>The dataset was created within the project “<em>Land use, social transformations and woodland in Central European Prehistory. Modelling approaches to human-environment interactions</em>” funded by the Czech Science Foundation (19-20970Y). This dataset represents the largest and the most comprehensive collection of archaeological radiocarbon dates from the Czech Republic to date. The dataset offers 1579 samples from 347 archaeological sites dating from Early Mesolithic (10 000 BC) to Medieval Period (AD 1250). Published in a simple spreadsheet format, the database offers researchers a quick tool for further analyses. It is important to highlight that dates we collected originated only from archaeological contexts, which means that we have excluded some radiocarbon dates produced through palaeoecological research without a direct relationship to past human activities, such as pollen records or samples from fossilized trees in river beds. The dataset is intended to be used for demographic modelling of population numbers during periods without written records, i.e. prehistory.</p>
Dataset: Human-vegetation dynamics in Holocene South-Eastern Norway based on radiocarbon-dated charcoal from archaeological excavations
<p>The repository contains radiocarbon data used in the paper <em>Human-vegetation dynamics in Holocene South-Eastern Norway based on radiocarbon-dated charcoal from archaeological excavations</em>, written by By Axel Mjærum, Kjetil Loftsgarden, and Steinar Solheim (University of Oslo).</p> <p>The paper is accepted for publication in The Holocene.</p> <p>ABSTRACT: Charcoal from archaeological contexts differs from off-site pollen samples as it is mainly a product of intentional human action. As such, analysis of charcoal from excavations is a valuable addition to studies of past vegetation and the interaction between humans and the environment. In this paper, we use a dataset consisting of 6,186 dated tree species samples from 1,239 archaeological sites as a proxy to explore parts of the Holocene forest development and human-vegetation dynamics in South-Eastern Norway.</p> <p>From the middle of the Late Neolithic (from <em>c</em>. 2000 BC) throughout the Early Iron Age (to <em>c</em>. AD 550) the region’s agriculture is characterized by fields, pastures, and fallow. Based on our data, we argue that these practices, combined with forest management, clearly altered the natural distribution of trees, and favoured some species of broadleaved trees. The past distribution of hazel (<em>Corylus avellana</em>) is an example of human impact on the vegetation. Today, hazel is not even among the 15 most common tree species, while it is one of the most prevalent species in the archaeological record before AD 550. The data indicate that this species was favoured already by the region’s Mesolithic hunter-fisher-gatherers, and that it was among the species that thrived extremely well in the early farming landscape. Secondly, our analysis also indicates that spruce (<em>Picea abies</em>) first formed large stands in the south-eastern parts of Norway <em>c</em>. 500 BC, centuries earlier than previously assumed. It is argued that this event, and a further westward expansion of spruce, was partly a consequence of a specific historical event – the first millennium BC farming expansion.</p>
AIDA (Archive of Italian radiocarbon DAtes)
<p>The archive <strong>AIDA</strong> provides a collation of <strong>4,629</strong> radiocarbon dates from <strong>1,050</strong> archaeological sites in Italy from the Late Mesolithic until Late Antiquity (11 - 1.5 kya BP). These dates have been collected from existing online digital archives, and electronic and print original publications. </p> <p>List of versions:</p> <ul> <li><strong>5.0</strong> 9 April 2022 — 589 new dates added (update of the files 'References.txt', 'nerd.csv', and 'Readme.md').</li> <li><strong>4.0</strong> 3 March 2022 — 35 new dates added (update of the files 'References.txt', 'nerd.csv', and 'Readme.md').</li> <li><strong>3.0</strong> 13 January 2022 — Removal of some duplicates and 4 new dates added (update of the files 'References.txt', 'nerd.csv', and 'Readme.md').</li> <li><strong>2.0</strong> 13 January 2022 — Removal of some duplicates and 4 new dates added (update of the files 'References.txt', 'nerd.csv', and 'Readme.md').</li> <li><strong>1.0</strong> 3 August 2021 — First public release of the dataset on Zenodo</li> </ul>
Radiocarbon Dates Iron Production Middle-Northern Sweden
<p>Radiocarbon dates analysed in the MA-thesis of Jonatan Rigvald, Uppsala university. This only represents a selection of the full database of radiocarbon dated iron production sites, to be publised (Hennius et al. in press).</p>
Radiocarbon dates for the Mesolithic-Neolithic transition in Iberia
<p>Radiocarbon dates to explore the chronology absolute of the Neolithic transition in the Iberian peninsula. A shapefile (GIS format has been upload too).</p>
Test film for Dating ancient manuscripts using radiocarbon and AI-based writing style analysis
<p>This film 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> </p> <p>This film is made 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><br> Videographer: <a href="https://videobrouwers.nl/">https://videobrouwers.nl/</a></p> <p><strong>Copyright (c) </strong> University of Groningen, 2023. All rights reserved.<br> <strong>Disclaimer and copyright notice for this file:</strong></p> <p><strong>1)</strong> permission is hereby granted to use the video for research purposes. It is not allowed to distribute this video 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 video.</p> <p><strong>4) </strong>the user should refer to the first public article mentioned above in this video.</p> <p><strong>5) </strong>the recipient should refrain from proliferating the video 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>Film description:</strong><br> A test was conducted on 6 July 2021. The test consisted of giving unseen <sup>14</sup>C results to the AI experts to see whether Enoch (date prediction model) would give date prediction estimates that match the <sup>14</sup>C results. However, at the start of the test, it was unknown to the AI experts that the samples were chosen because <sup>14</sup>C results were available for them. The <sup>14</sup>C results were taken from the 1990s <sup>14</sup>C dating of the Dead Sea Scrolls [1,2]. The assumption was that the manuscripts chosen were not contaminated with castor oil as these manuscripts were not handled by the original team of editors in the 1950s [3,4,5]. This applies to 1QIsa<sup>a</sup>, 1QpHab, 1QapGen, 1QS, 1QH<sup>a</sup>, 11Q19, Mas1l. Two more manuscripts were added for other reasons. 4Q53 was added because scholars assume that it was written by the same scribe as 1QS. 4Q319 was added because it is actually the same manuscript as 4Q259 [6], which was subjected to <sup>14</sup>C dating by our own project. The test was filmed. The film captures the whole process that was conducted in one go.</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><strong>References:</strong><br> <em>1.Bonani, G., Ivy, S., Wölfli, W., Broshi, M., Carmi, I., & Strugnell, J. (1992). Radiocarbon dating of fourteen Dead Sea scrolls. Radiocarbon, 34(3), 843-849.<br> 2. Jull, A. T., Donahue, D. J., Broshi, M., & Tov, E. (1995). Radiocarbon dating of scrolls and linen fragments from the Judean desert. Radiocarbon, 37(1), 11-19.<br> 3. Doudna, G., Flint, P. W., & VanderKam, J. C. (1998). Dating the Scrolls on the basis of radiocarbon analysis. The Dead Sea scrolls after fifty years. A comprehensive assessment. Volume one, 1, 430-471.<br> 4. Carmi, I. (2002). Are the 14C dates of the Dead Sea Scrolls affected by castor oil contamination? Radiocarbon, 44(1), 213-216.<br> 5. Rasmussen, K. L., van der Plicht, J., Doudna, G., Nielsen, F., Højrup, P., Stenby, E. H., & Pedersen, C. T. (2009). The effects of possible contamination on the radiocarbon dating of the Dead Sea Scrolls II: empirical methods to remove castor oil and suggestions for redating. Radiocarbon, 51(3), 1005-1022.<br> 6. Hempel, C. (2020). The Community Rules from Qumran: A Commentary (Vol. 183). Mohr Siebeck.</em></p>
R code and radiocarbon dates to reproduce figures and results of our paper "Population dynamics ..."
<p>R Codes and dataset to reproduce figures and results of the paper <strong><em>Population dynamics during the Neolithic transition and the onset of megalithism in Portugal according to summed probability distribution of radiocarbon determinations</em>. </strong></p>
The name of the game: Palaeoproteomics and radiocarbon dates further refine the presence and dispersal of caprines in Eastern and Southern Africa
<p><span>We report the first large-scale palaeoproteomics research on eastern and southern African zooarchaeological samples, thereby refining our understanding of early caprine (sheep and goat) pastoralism in Africa. Assessing caprine introductions is a complicated task because of their skeletal similarity to endemic wild bovid species and the sparse and fragmentary state of relevant archaeological remains. Palaeoproteomics has previously proved effective in clarifying species attributions in African zooarchaeological materials, but few comparative protein sequences of wild bovid species have been available. Using newly generated collagen type I sequences for wild species, as well as previously published sequences, we assess species attributions for elements originally identified as caprine or "unidentifiable bovid" from seventeen eastern and southern African sites that span seven millennia. We identified over 70% of the archaeological remains and the direct radiocarbon dating of domesticate specimens allows refinement of the chronology of caprine presence in both African regions. These results thus confirm earlier occurrences in eastern Africa and the systematic association of domesticated caprines with wild bovids at all archaeological sites. The combined biomolecular approach highlights repeatability and accuracy of the methods for conclusive contribution in species attribution of archaeological remains in dry African environments.</span></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>
Stable isotopes and radiocarbon dating results on Late Pleistocene red deer and horse from the Serinyà caves (Girona, Catalonia, Spain)
<p>Table 1: Minimum (Min), maximum (Max), mean and standard-deviations (SD) of <em>δ</em><sup>13</sup>C<sub>carb</sub> and <em>δ</em><sup>18</sup>O<sub>carb</sub> values per horse and red deer tooth. Numbers in bold indicate isotopic values corresponding to peaks (summer) or troughs (winter) detected from clear sinusoidal patterns in <em>δ</em><sup>18</sup>O<sub>carb</sub> values. Numbers in bold correspond to minimum and maximum values in teeth revealing a sinusoidal pattern. LM3 and UM3 stand for lower third molar and upper third molar, respectively. LM2 stands for lower second molar. R is for the right side, L is for the left side. N: number of analyses.</p> <p>Table 2: Minimum, maximum, mean and standard-deviations of <em>δ</em><sup>13</sup>C<sub>coll</sub>, <em>δ</em><sup>15</sup>N<sub>coll</sub> for horse and red deer per technocomplex phases. na stands for not applicable. N: number of samples.</p> <p>Table A.1: Detailed isotopic results (<em>δ</em><sup>13</sup>C<sub>carb</sub> and <em>δ</em><sup>18</sup>O<sub>carb</sub>) for horse teeth with incremental sampling. Underlined numbers correspond to outlier data. Brackets are added around isotopic values that are not considered for further interpretation. R stands for the right side, L is for the left side.</p> <p>Table A.2: Detailed isotopic results (<em>δ</em><sup>13</sup>C<sub>carb</sub> and <em>δ</em><sup>18</sup>O<sub>carb</sub>) for red deer teeth with incremental sampling. Underlined numbers correspond to outlier data. Brackets are added around isotopic values that are not considered reliable for further interpretation. R is for the right side, L is for the left side.</p> <p>Table A.3: Results of elemental analysis on bone or dentine (N<sub>bone or dentine</sub>) and collagen (C<sub>coll</sub>, N<sub>coll</sub>, C:N<sub>coll</sub>) and of isotopic analysis on collagen (<em>δ</em><sup>13</sup>C<sub>coll</sub>, <em>δ</em><sup>15</sup>N<sub>coll</sub>) from horse (<em>Equus ferus</em>), red deer (<em>Cervus elaphus</em>) at the Serinyà caves. Underlined numbers correspond to outlier data. Brackets are added around isotopic values that are not considered reliable for further interpretation. R is for the right side, L is for the left side. * species determination confirmed by ZooMS analysis. Tüb. stands for Tübingen and NU for National University.</p> <p>Table A.4: Results of elemental analysis on bone or dentine (N<sub>bone or dentine</sub>) and collagen (C<sub>coll</sub>, N<sub>coll</sub>, C:N<sub>coll</sub>) and of isotopic analysis on collagen (<em>δ</em><sup>13</sup>C<sub>coll</sub>, <em>δ</em><sup>15</sup>N<sub>coll</sub>) from large bovids (<em>Bos/Bison</em>) and muskox (<em>Ovibos moschatus</em>) at the Serinyà caves. Underlined numbers correspond to outlier data. Brackets are added around isotopic values that are not considered reliable for further interpretation. R is for the right side, L is for the left side. * species determination confirmed by ZooMS analysis. Tüb. stands for Tübingen.</p> <p>Table A.5: Results of elemental analysis on collagen (C<sub>coll</sub>, N<sub>coll</sub>, C:N<sub>coll</sub>) and of isotopic analysis on collagen (<em>δ</em><sup>13</sup>C<sub>coll</sub>,<em>δ</em><sup>15</sup>N<sub>coll</sub>) and radiocarbon dates (<sup>14</sup>C) from horse (<em>Equus ferus</em>), red deer (<em>Cervus elaphus</em>), reindeer (<em>Rangifer tarandus</em>), muskox (<em>Ovibos moschatus</em>), rabbit (<em>Oryctolagus cuniculus</em>) and human (<em>Homo sapiens</em>) at the Serinyà caves. R is for the right side, L is for the left side. * species determination confirmed by ZooMS analysis. na stands for not applicable, nd for not determined and ind for indetermined.</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>
Radiocarbon dates from Sri Ksetra Myanmar
<p>Radiocarbon dates for samples from archaeological excavations at Sri Ksetra, Myanmar. Funded by ERC synergy project 609823 Asia Beyond Boundaries: Religion, Region, Language and the State.</p>
Catalogue of radiocarbon determinations & dendrochronology dates
<p>Catalogue of Irish radiocarbon determinations & dendrochronology dates. August 2019 Release</p> <p>See 'Citation & Restrictions' tab on resource for restrictions on usage</p>
Text-fig. 4. Pollen diagram from Stará Jímka Lake in the Bohemian Forest (Analysed by E. Břízová). Radiocarbon dating: Radiocarbon Laboratory Gliwice, Poland. in Quillwort (Isoëtes), A Mysterious Plant From The Czech Republic
Text-fig. 4. Pollen diagram from Stará Jímka Lake in the Bohemian Forest (Analysed by E. Břízová). Radiocarbon dating: Radiocarbon Laboratory Gliwice, Poland.
EXPLO. Sovjan 2021. OxCal code for radiocarbon dated tree-rings and charcoal
<p>Code used for modelling radiocarbon dated tree-rings and previously published charcoal dates from the archaeological site of Sovjan. Software used: OxCal v4.4.2 (Bronk Ramsey, 2020; Dee and Bronk Ramsey, 2014) 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>
The name of the game: Palaeoproteomics and radiocarbon dates further refine the presence and dispersal of caprines in Eastern and Southern Africa
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ScienceDex guides
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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.