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88 results for “radiocarbon”
Radiocarbon Palaeolithic Europe Database v25 June 2019 extract
<p>The database, version 25 (first version was available in2002), contains now <strong>13093</strong> site forms, (most of them with their geographical coordinates), comprising <strong>15500 </strong>radiometric data: Conv. <sup>14</sup>C and AMS <sup>14</sup>C (<strong>12500 </strong>items), TL (<strong>1023</strong> items), OSL (<strong>627</strong> items), ESR, Th/U and AAR (<strong>2015</strong> items) from the European (Russian Siberia included) Lower, Middle and Upper Palaeolithic. All <sup>14</sup>C dates are conventional dates BP. 263 new sites are incorporated and 447 sites have a corrected or an updated content. The latest version is available at https://ees.kuleuven.be/en/geography/projects/14c-palaeolithic/.</p>
Variations in Solar Activity Across the Sporer Minimum Based on Radiocarbon in Danish Oak (dataset)
<p>This dataset (AARAMS_Radiocarbon_1432_1578_ver2) provides radiocarbon ages of LW tree rings from Danish oak from the period AD 1432 to 1578. The measurements were conducted at the Aarhus AMS Centre (AARAMS) at Aarhus University, Denmark. Ring widths of the two wood samples (SchB and Gr02) used for the measurements are found in the two files: TableS1_SchB_Ringwidths and TableS2_Gr02_Ringwidths. These data are presented in a paper submitted to Geophysical Research Letters with the title: Variations in Solar Activity Across the Sporer Minimum Based on Radiocarbon in Danish Oak.</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>
An interactive radiocarbon database for the Canary Islands
<p>The dataset described in this work represents the first open-access compilation of uncalibrated radiocarbon dates for the archaeology of Canary Islands</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>
Burned soil surface radiocarbon values for moss macrofossils plucked from the Anaktuvuk River Fire sites
We used radiocarbon dating of the organic soil surface remaining post-fire to examine whether the fire burned into ancient and likely irreplaceable soil C pools. Suprisingly, it did not; all radiocarbon dates from burned soil surfaces contained bomb carbon, setting the maximum age of the burned soil surfaces at ~50 years.
Radiocarbon and stable carbon isotopes of CO2 produced from photomineralization of DOC leached from permafrost soils collected from the North Slope of Alaska in the summer of 2018
Dissolved organic carbon (DOC) was leached from permafrost soils near the Toolik Field Station in the Alaskan Arctic and then characterized for its photochemical properties. The radiocarbon (14C) and stable carbon (13C) isotopic compositions of carbon dioxide (CO2) photochemically produced from permafrost DOC were quantified.
Radiocarbon and stable carbon isotope dataset for DOC leached from permafrost soils collected from the North Slope of Alaska in the summer of 2018
Dissolved organic carbon (DOC) was leached from permafrost soils near the Toolik Field Station in the Alaskan Arctic. The radiocarbon (14C) and stable carbon (13C) isotopic compositions of permafrost DOC were quantified.
Eight Mile Lake Research Watershed, Carbon in Permafrost Experimental Heating Research (CiPEHR): The radiocarbon value of ecosystem respiration, 2009-2012 I: Reco.
In this larger study, we are asking the question: Is old carbon that comprises the bulk of the soil organic matter pool released in response to thawing of permafrost? We are answering this question by using a combination of field and laboratory experiments to measure radiocarbon isotope ratios in soil organic matter, soil respiration, and decomposition in tundra ecosystems. The objective of these proposed measurements is to develop a mechanistic understanding of the SOM sources contributing to C losses following permafrost thawing. We are making these measurements at an established tundra field site near Healy, Alaska in the foothills of the Alaska Range. Field measurements center on a natural experiment where permafrost has been observed to warm and thaw over the past several decades. This area represents a gradient of sites each with a different degree of change due to permafrost thawing. As such, this area is unique for addressing questions at the time and spatial scales relevant for change in arctic ecosystems. This data set includes the growing season radiocarbon values of ecosystem and plant respiration at the thaw gradient and CiPEHR (a permafrost warming experiment). Depending on the year, the measurements were taken monthly during the growing season or just once a growing season.
The MedAfriCarbon radiocarbon database and web application. Archaeological dynamics in Mediterranean Africa, ca. 9600-700 BC
<p>MedAfriCarbon radiocarbon database and web app are outcomes of the <em>MedAfrica Project —Archaeological deep history and dynamics of Mediterranean Africa, ca. 9600-700 BC</em>. The dataset presented here includes a collection of <strong>1584</strong> calibrated archaeological 14C dates from <strong>1587</strong> samples collected from <strong>368</strong> sites located in Mediterranean Africa (plus some additional dates whose published information is incomplete). The majority of the dates are linked to cultural and environmental variables, notably the presence/absence of different domestic/wild species and specific material culture.</p> <ul> <li><strong>1.0.3</strong> _27 Feb 2020_– Official public JOAD release (includes JOAD DOI and volume numbers). Includes a few minor error corrections.</li> <li><strong>1.0</strong> _30 Jan 2020_— First public release of the dataset on Zenodo.</li> </ul>
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 age distribution of global soil carbon inferred from radiocarbon measurements
<p>We use 789 radiocarbon (∆<sup>14</sup>C) profiles, along with other geospatial information, to create globally-gridded datasets of mineral soil ∆<sup>14</sup>C and mean age. The spatial resolution is 0.5 degree by 0.5 degree and the vertical resolution is at each 1 cm increment to a soil depth of 1 meter.</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>
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>
Radiocarbon Isotopic Disequilibrium Shows Little Incorporation of New Carbon in Mineral Soils of a Boreal Forest Ecosystem
<p><span>Files for the manuscript “</span><span>Radiocarbon Isotopic Disequilibrium Shows Little Incorporation of New Carbon in Soils and Fast Cycling of a </span><span>Boreal</span><span> Forest Ecosystem”</span></p> <p> </p> <p>1. “Raw_Data” folder contains the files in .xlsx:</p> <p>- Lab_Atmospheric_Samples: D14C results from ambient air at the sampled heights.</p> <p>- Lab_Soil_Respiration: D14C results with date and integration time for the FFSR sampling<span> </span>campaign.</p> <p>- Lab_Solid_Samples:<span> </span>D14C and TOC results for soil, vegetation, roots, fungi and incubation samples.</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>
Radiocarbon and soil properties along the Kalahari moisture gradient in Botswana
<p>This dataset presents radiocarbon data from four sites located in Botswana. The dataset first presents general information about the sites (on the tab "site"), followed by more detailed information (on the tab "profile") about all sampling locations. On the 'layer' tab, information about selected soil properties and the radiocarbon values are shown.</p> <p>The dataset is part of the International Soil Radiocarbon Database (ISRaD) and associated with the following publication: Dintwe et al. (2015) Soil organic C and total N pools in the Kalahari: potential impacts of climate change on C sequestration in savannas, Plant Soil, 396_27-44, doi: 0.1007/s11104-014-2292-5.</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>
Stable and radiocarbon isotope compositions of DOC and DIC in Southeast Asian drainage canals
<p>This dataset contains the stable and radiocarbon isotope compositions of dissolved organic carbon (DOC) and radiocarbon isotope compositions of dissolved inorganic carbon (DIC) produced during DOC microbial respiration and photomineralization in canal waters sampled across disturbed peatlands in West Kalimantan, Indonesia in 2022. Microbial respiration and photomineralization experiments were carried out during laboratory incubations and natural sunlight exposures of canal water samples, respectively. Significant changes in the radiocarbon isotope composition of DIC between treatment and control waters were detected using a headspace extraction technique followed by a small-carbon extraction line for radiocarbon samples. </p>
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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.