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9 results for “Bioarchaeology”
How Fair Is Bioarchaeological Data
<p>Data collected for conference proceeding accessible here :<br>Lien-Talks, A. (2024). How FAIR is Bioarchaeological Data: with a particular emphasis on making archaeological science data Reusable. https://doi.org/10.5281/zenodo.10935099</p>
Hellenistic-Roman bioarchaeological dental disease data - MetaMobility project
<p>This database covers the bioarchaeological data we could extract on Hellenistic-Roman period dental diseases in the Central and Eastern Mediterranean and Middle East. The database was created as part of the MetaMobility project (EXCELLENCE/0421/0376), which is implemented under the programme of social cohesion “THALIA 2021-2027” cofunded by the European Union, through the Research and Innovation Foundation.</p>
Hellenistic-Roman bioarchaeological mechanical stress data - MetaMobility project
<p>This database covers the bioarchaeological data we could extract on Hellenistic-Roman period <span>skeletal markers of mechanical stress</span> in the Central and Eastern Mediterranean and Middle East. <span>Specifically, it covers degenerative joint disease (osteoarthritis) in the major appendicular joints of the skeleton, intervertebral disc disease (spinal arthritis on the vertebral bodies and apophyseal joints), Schmorl's nodes and entheseal changes.</span> The database was created as part of the MetaMobility project (EXCELLENCE/0421/0376), which is implemented under the programme of social cohesion “THALIA 2021-2027” cofunded by the European Union, through the Research and Innovation Foundation.</p> <p> </p> <p><span> </span></p>
Hellenistic-Roman bioarchaeological mobility data - MetaMobility project
<p>This database covers the bioarchaeological data we could extract on Hellenistic-Roman period human mobility in the Central and Eastern Mediterranean and Middle East. In addition, it includes studies that are not about mobility per se but they provide metric or nonmetric data that could be used in biodistance studies. The database was created as part of the MetaMobility project (EXCELLENCE/0421/0376), which is implemented under the programme of social cohesion “THALIA 2021-2027” cofunded by the European Union, through the Research and Innovation Foundation.</p>
Hellenistic-Roman bioarchaeological physiological stress data - MetaMobility project
<p>This database covers the bioarchaeological data we could extract on Hellenistic-Roman period physiological stress markers in the Central and Eastern Mediterranean and Middle East. Specifically, it covers cases of cribra orbitalia, porotic hyperostosis, enamel hypoplasia and periostitis. The database was created as part of the MetaMobility project (EXCELLENCE/0421/0376), which is implemented under the programme of social cohesion “THALIA 2021-2027” cofunded by the European Union, through the Research and Innovation Foundation.</p>
Bioarchaeological and palaeogenomic portrait of two Pompeians that died during the eruption of Vesuvius in 79 AD
<p>The archaeological site of Pompeii is one of the fifty-four UNESCO World Heritage sites in Italy, thanks to its uniqueness: the town was completely destroyed and buried by a Vesuvius’ eruption in 79 AD. In this work, we present a multidisciplinary approach with bioarchaeological and palaeogenomic analyses of two Pompeian human remains from the <em>Casa del Fabbro</em>. We have been able to characterize the genetic profile of the first Pompeian’ genome, which has strong affinities with the surrounding central Italian population from the Roman Imperial Age. Our findings suggest that, despite the extensive connection between Rome and other Mediterranean populations, a noticeable degree of genetic homogeneity exists in the Italian peninsula at that time. Moreover, palaeopathological analyses identified the presence of spinal tuberculosis and we further investigated the presence of ancient DNA from <em>Mycobacterium tuberculosis</em>. In conclusion, our study demonstrates the power of a combined approach to investigate ancient humans and confirms the possibility to retrieve ancient DNA from Pompeii human remains. Our initial findings provide a foundation to promote an intensive and extensive paleogenetic analysis in order to reconstruct the genetic history of population from Pompeii, a <em>unique</em> archaeological site.</p>
3D data obtained with a MicroScribe digitising arm and photogrammetry to address bioarchaeological research questions
<p>Virtual methods for studying human remains are becoming increasingly popular in bioarchaeology, and the rate of technological innovation in the last few years has been such that we now have multiple options to choose from when collecting data. This raises the question of whether datasets generated with different methods are transposable. In the study reported here, we investigated whether it is valid to combine 3D data obtained with a MicroScribe digitising arm and 3D data collected via photogrammetry. We did so by simulating a population-based analysis similar to those commonly undertaken in bioarchaeology. Our sample comprised 19 crania from two ethnic groups, Ancient Egyptians and Guanches, and the landmarks we employed pertained to facial shape.</p> <p>The analyses yielded several findings. First, we found that photogrammetry was significantly more precise than the MicroScribe digitising arm. Second, the photogrammetry-based method revealed the existence of facial shape differences between the two ethnic groups that were not captured by the MicroScribe-based method. Third, we found that the two methods did not consistently capture the same facial shapes—they did for one of the ethnic groups but not for the other. Fourth, the analyses indicated that using the two methods can result in ethnic group-level differences in facial shape when they are applied to individuals from a single ethnic group. Lastly, the two methods of data collection yielded different patterns of variation in facial shape. Together, these findings suggest that combining 3D landmark coordinates collected with a MicroScribe and those obtained via photogrammetry may introduce considerable error into an analysis, and, consequently, bioarchaeologists should be cautious about doing so.</p>
3D data obtained with a MicroScribe digitising arm and photogrammetry to address bioarchaeological research questions
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What happened to the people of the Quebrada Chupacigarro cemetery? Bioarchaeological evidence of violence during the transition between the Middle and Late Formative (500–400 BC) in the Peruvian North-Central Coast.
<p>Photos from a bioarchaeological study of violence in individuals from prehistoric communities of the Supe Valley, North-Central Coast of Peru (500-400 BCE).</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.
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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.