Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
31
datasets available to search
ShareScore release 0.9.0
Dataset results
31 results for “Mesolithic”
PALEODEM/ Iberian mesolithic networks from ornaments' assemblages
<p>This repository contains the scrips implemented and raw data used in the article “Reconstructing social networks on the Iberian Peninsula using ornaments”.</p> <p>Raw data:</p> <ol> <li>Similarity matrices</li> </ol> <ul> <li>Early_Meso.csv: Matrix containing the similarity values between each pair of ornament assemblages ascribed to the Early Mesolithic phase. This matrix is used as input to construct the Early Mesolithic network where the similarity values represent the weight of the links.</li> <li>Late_Meso.csv: Matrix containing the similarity values between each pair of ornament assemblages ascribed to the Late Mesolithic phase. This matrix is used as input to construct the Late Mesolithic network where the similarity values represent the weight of the links.</li> </ul> <p> </p> <p> 2. IDs for assortativity calculation</p> <ul> <li>Geo_units.csv: This table relates the ID and geographical unit of each assemblage. This is required by the code to calculate the assortativity.</li> </ul> <p> </p> <p> 3. R Script</p> <ul> <li>Mesolithic_SNA.r: The networks were constructed and analysed using the igraph R package, and the similarity matrices above. The script was used to construct the network, where assemblages represent nodes and the similarity between them represent the weight of the links. The code also plots the networks according to a force-directed layout algorithm (Fruchterman-Reingold) and calculates the values for several global network metrics (density, average degree, average weighted degree and assortativity), and node centrality metrics (degree, weighted degree and betweenness).</li> </ul>
PALEODEM/ What burned the forest? Wildfires, climate change and human activity during the Mesolithic – Neolithic transition in SE Iberian Peninsula
<p>This repository contains new XRD data from the Villena paleolake, archaeological radiocarbon evidence from the Villena area and the R code used to produce Summed Probability distribution analyses. </p> <p>They correspond to the following reference: </p> <p>Sánchez-García, C., Revelles, J., Burjachs, F., Euba, I., Expósito, I., Ibáñez, J., Schulte, L., Fernández-López de Pablo, J. What burned the forest? Wildfires, climate change and human activity during the Mesolithic – Neolithic transition in SE Iberian Peninsula (submitted to Catena). </p> <p>We specify the content of file further down:</p> <ul> <li>Vinalopo.csv: the list of radiocarbon dates from Villena spanning ca.9500-5500 cal BP from the following sites: Arenal de la Virgen, Cueva del Lagrimal and Casa Corona. </li> <li>ngrip.csv: NGRIP GICC05 paleotemperature record based on oxygen isotope series from Rasmussen SO <em>et al.</em>2006 A new Greenland ice core chronology for the last glacial termination. <em>J. Geophys. Res. Atmos.</em><strong>111</strong>. (doi:10.1029/2005JD006079) and Andersen KK <em>et al.</em>2006 The Greenland Ice Core Chronology 2005, 15–42ka. Part 1: constructing the time scale. <em>Quat. Sci. Rev.</em>25, 3246–3257.</li> <li>Char.csv: Sedimentary charcoal data set from the Villena Paleolake (VL3 core) published by Jones, S.E., Burjachs, F., Fernández-López de Pablo (2018) DOI/10.5281/zenodo.1244003, according to the new Bacon chronological model of the Villena paleolake (Fernández-López de Pablo et al., 2022 . Impacts of Early Holocene environmental dynamics on open-air occupation patterns in the Western Mediterranean: insights from El Arenal de la Virgen (Alicante, Spain). <a href="https://doi.org/10.31235/osf.io/5yqsr">https://doi.org/10.31235/osf.io/5yqsr</a>)</li> <li>SPD_analysis.R: R script with the code to reproduce the SPD analysis presented in the manuscript. </li> <li>SupplMat1xlsl: an excel file This file is composed by 8 spreadsheets:</li> </ul> <ol> <li>‘Selected variables 12.6-5.5’: all the data included in the time frame 12600-5500 cal BP, interpolated to 50 yr time windows. These data have been used for the Spearmans’rs correlation analysis (see spreadsheet ‘Spearmans’rs 12.6-5.5’ to track the results), Detrended Correspondence Analysis (see spreadsheet ‘Figure 5_DCA 12.6-5.5’ to track the results) and have been plotted in Figure 3 and 7. </li> <li>'Selected variables 9.1-5.5’: data included in the analysis focused on the time period 9.1-5.5 cal BP, interpolated to 50 yr time windows. These data have been used for the Spearmans’rs correlation analysis (see spreadsheet ‘Spearmans’rs 9.1-5.5’ to track the results), Detrended Correspondence Analysis (see spreadsheet ‘Figure 6_DCA 9.1-5.5’ to track the results) and have been plotted in Figure 8.</li> <li>‘Spearmans’rs 12.6-5.5’: Spearmans’rs correlation analysis applied to the 12600-5500 cal BP dataset (data from ‘Selected variables 12.6-5.5’).</li> <li>‘Spearmans’rs 9.1-5.5 cal BP’ Spearmans’rs correlation analysis applied to the 9100-5500 cal BP dataset, including here high-resolution XRD data (data from ‘Selected variables 9.1-5.5’).</li> <li>‘Figure 2 charcoal results’: original sedimentary charcoal results provided in this work. Data plotted in Figure 2. </li> <li>‘Figure 4 XRD results’: original XRD results provided in this work. Data plotted in Figure 4.</li> <li>‘Figure 5 DCA 12.6-5.5’: results of Detrended Correspondence analysis focused on the time period from 12600 to 5500 cal BP. Data plotted in Figure 5.</li> <li>‘Figure 6 DCA 9.1-5.5’ results of Detrended Correspondence analysis focused on the time period from 9100 to 5500 cal BP, including here high-resolution XRD data. Data plotted in Figure 6.</li> </ol>
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>
Maps of depths are created for the site of 50 m length. Flow types are turbulent, broken standing waves, unbroken standing waves, and rippled. The average width was 8 m and varied from 5.5 to 12 m. Bed elements included bars, rocks, and step/pools. The average depth was 0.35 m, with a maximum of 0.6 m. The average velocity was 0.4 m/s, with a maximum of 1.2 m/s (figs 10). Distribution of bottom habitats at the locations with the crayfish are as follows: megalital — 5 %, macrolithal — 30 %, mesolithal — 25 %, microlithal — 15 %, psammal — 15 %, CPOM — 10 %. Assessment by hydrobiological parameters showed that the presence of Lyngbya and Oscillatoria, as well as the increase of the number of Oligochae- in New Findings Of White Clawed Crayfish, Austropotamobius Pallipes (Decapoda, Astacidae), And Peculiarities Of Its Spatial Distribution In Neretvica (Bosnia And Herzegovina)
Maps of depths are created for the site of 50 m length. Flow types are turbulent, broken standing waves, unbroken standing waves, and rippled. The average width was 8 m and varied from 5.5 to 12 m. Bed elements included bars, rocks, and step/pools. The average depth was 0.35 m, with a maximum of 0.6 m. The average velocity was 0.4 m/s, with a maximum of 1.2 m/s (figs 10). Distribution of bottom habitats at the locations with the crayfish are as follows: megalital — 5 %, macrolithal — 30 %, mesolithal — 25 %, microlithal — 15 %, psammal — 15 %, CPOM — 10 %. Assessment by hydrobiological parameters showed that the presence of Lyngbya and Oscillatoria, as well as the increase of the number of Oligochae-
From optimality to prestige: Investigating human-animal interactions at Late Mesolithic Hoge Vaart-A27 (Almere, the Netherlands) using a Prey Choice Model
<h2><strong>This dataset is from my Research Master's Thesis from Groningen University. </strong></h2> <p><strong>The dataset includes;</strong></p> <ul> <li>The CSV data necessary to recreate all models and graphs from the thesis</li> <li>The R.Script with all codes</li> </ul> <p><strong>Used packages and programming language: </strong></p> <ul> <li>Kassambara, A. (2023). ggpubr: ‘ggplot2’ Based Publication Ready Plots (R package version 0.6.0) [R; Rstudio]. R Foundation for Statistical Computing.<a href="https://doi.org/%3Chttps://CRAN.R-project.org/package=ggpubr%3E."> <https://CRAN.R-project.org/package=ggpubr>.</a></li> <li>Mei, W., Yu, G., & Greenwell, B. M. (2022). ggtrendline: Add Trendline and Confidence Interval to ‘ggplot’ (R package version 1.0.3) [R; Rstudio]. R Foundation for Statistical Computing.<a href="https://cran.r-project.org/package=ggtrendline"> https://CRAN.R-project.org/package=ggtrendline</a></li> <li>Pedersen, T. L. (2024). patchwork: The Composer of Plots (R package version 1.2.0) [R; RStudio]. R Foundation for Statistical Computing.<a href="https://cran.r-project.org/package=patchwork"> https://CRAN.R-project.org/package=patchwork</a></li> <li>R Core Team. (2022). R: A Language and Environment for Statistical Computing (R version 4.2.1) [R; RStudio]. R Foundation for Statistical Computing.<a href="https://www.r-project.org/"> https://www.R-project.org/</a></li> <li>Sievert, C. (2020). Interactive web-based data visualization with R, plotly, and shiny. Chapman and Hall/CRC.</li> <li>Wickham, H. (2016). ggplot2: Elegant Graphics for Data Analysis. Springer-Verlag New York.<a href="https://ggplot2.tidyverse.org"> https://ggplot2.tidyverse.org</a></li> <li>Wickham, H., Averick, M., Bryan, J., Chang, W., McGowan, L., François, R., Grolemund, G., Hayes, A., Henry, L., Hester, J., Kuhn, M., Pedersen, T., Miller, E., Bache, S., Müller, K., Ooms, J., Robinson, D., Seidel, D., Spinu, V., … Yutani, H. (2019). Welcome to the Tidyverse. Journal of Open Source Software, 4(43), 1686.<a href="https://doi.org/10.21105/joss.01686"> https://doi.org/10.21105/joss.01686</a></li> </ul> <p><strong><span>Abstract</span></strong></p> <p><em><span>The research of the faunal assemblage from Hoge Vaart-A27 (Almere, the Netherlands) provides a new perspective on investigating the connections between foraging strategies and socio-cultural dynamics of the Late Mesolithic and Early Swifterbant communities in Northwest Europe. The significance of this topic lies in its potential to help elucidate the broader socio-cultural aspects of foraging and human-animal interactions during this period. Despite extensive research, there remains a gap in comprehending how prestige influenced prey selection alongside optimal foraging strategies. The study aims to address this gap by employing zooarchaeological methods combined with prey choice modelling to investigate prey selection complexities in Flevoland’s transitioning cultural and physical landscape. The methods include analyses of species abundance and detailed examination of red deer, horse, aurochs and wild boar. The key findings reveal that while (optimal) foraging strategies were practised at Hoge Vaart-A27, they were significantly influenced by motivations such as prestige. The results contribute significantly to research by offering a glimpse into how Northwest European foragers could have perceived and interacted with big game beyond subsistence. </span></em></p> <p><strong><span>Keywords</span></strong><span> </span><span>human-animal relationships, prestige, profitability, prey choice, Swifterbant Culture, optimal foraging theory, costly signalling theory</span></p>
Text-fig. 9. Sex estimation of Moča skull (Komárno district, southern Slovakia), linear discriminant analysis using Henke's Late Upper Palaeolithic and Mesolithic database (n = 129, f = 46, m = 83), as well as according to recent Howells's database (n = 2524, f = 1156, m = 1368) with variables M1 (GOL) and M45 (ZYB). in A Late Upper Palaeolithic Skull From Moča (The Slovak Republic) In The Context Of Central Europe
Text-fig. 9. Sex estimation of Moča skull (Komárno district, southern Slovakia), linear discriminant analysis using Henke's Late Upper Palaeolithic and Mesolithic database (n = 129, f = 46, m = 83), as well as according to recent Howells's database (n = 2524, f = 1156, m = 1368) with variables M1 (GOL) and M45 (ZYB).
Text-fig. 10. Regional affinity of the Moča skull (Komárno district, southern Slovakia), linear discriminant analysis using the Henke's Late Upper Palaeolithic and Mesolithic database (Europe, n = 76) with variables M1 (GOL), M5 (BNL), M8 (XCB), M40 (BPL), W – West Europe, CE – Central-East Europe, S – South Europe. in A Late Upper Palaeolithic Skull From Moča (The Slovak Republic) In The Context Of Central Europe
Text-fig. 10. Regional affinity of the Moča skull (Komárno district, southern Slovakia), linear discriminant analysis using the Henke's Late Upper Palaeolithic and Mesolithic database (Europe, n = 76) with variables M1 (GOL), M5 (BNL), M8 (XCB), M40 (BPL), W – West Europe, CE – Central-East Europe, S – South Europe.
FIG. 8 in Animals in Mesolithic Burials in Europe
FIG. 8. — Molluscs in Mesolithic burials. (Denmark: 1 Henriksholm-Bøgebakken; France: 2 Auneau, 3 Aven des Iboussières, 4 La Chaussée-Tirancourt, 5 Le Cheix, 6 Le Cuzoul de Gramat, 7 Combe Capelle, 8 Hoëdic, 9 Le Rastel, 10 Sous Balme, 11 Téviec, 12 La Vergne; Germany: 13 Bad Dürrenberg, 14 Criewen, 15 Grosse Ofnet; Great Britain: 16 Aveline's Hole (?); Italy: 17 Arene Candide, 18 Grotta del Santuario della Madonna, 19 Grotta dell'Uzzo; Luxemburg: 20 Abri du Loschbour; Poland: 21 Janisławice; Portugal: 22 Arapouco, 23 Cabeço da Amoreira, 24 Cabeço das Amoreiras, 25 Cabeço do Pez, 26 Moita do Sebastião, 27 Poças de São Bento, 28 Vale de Romeiras; Rumania: 29 Schela Cladovei; Serbia: 30 Vlasac; Spain: 31 Los Azules, 32 Los Canes; Sweden: 33 Tågerup; Ukraine: 34 Mar'ievka, 35 Vasil'evka I, 36 Vasil'evka III).
FIG. 7 in Animals in Mesolithic Burials in Europe
FIG. 7. — Fish in Mesolithic burials. (Denmark: 1 Nivå 10, 2 Vedbaek, Gøngehusvej 7; France: 3 Aven des Iboussières, 4 Concevreux "les Jombras", 5 Cuiry-les-Chaudardes, 6 Hoëdic, 7 Téviec; Germany: 8 Burg Nassenfels, 9 Hohlenstein-Stadel; Italy: 10 Arene Candide; Latvia: 11 Zvejnieki; Poland: 12 Dudka; Rumania: 13 Schela Cladovei; Russia: 14 Minino I, 15 Peschanitsa, 16 Popovo; Serbia: 17 Kula, 18 Lepenski Vir, 19 Vlasac; Sweden: 20 Skateholm I, 21 Skateholm II, 22 Tågerup; Ukraine: 23 Mar'ievka, 24 Zamil'Koba 1).
FIG. 5 in Animals in Mesolithic Burials in Europe
FIG. 5. — Birds in Mesolithic burials. (Denmark: 1 Bloksbjerg (?), 2 Henriksholm-Bøgebakken, 3 Vedbaek, Gøngehusvej 7; France: 4 Aven des Iboussières, 5 Hoëdic; Germany: 6 Bad Dürrenberg, 7 Burg Nassenfels; Great Britain: 8 Aveline's Hole (?); Italy: 9 Arene Candide; Latvia: 10 Zvejnieki; Poland: 11 Dudka; Russia: 12 Minino I, 13 Olenij ostrov, 14 Peschanitsa, 15 Popovo; Serbia: 16 Vlasac; Sweden: 17 Skateholm I, 18 Tågerup).
FIG. 3 in Animals in Mesolithic Burials in Europe
FIG. 3. — Mesolithic burials of animals. (Denmark: 1 Ertebølle, 2 Nederst, 3 Vedbaek, Gøngehusvej 7; Netherlands: 4 Hardinxveld- Giessendam, Polderweg; Poland: 5 Dudka, 6 Mszano; Portugal: 7 Cabeço da Arruda, 8 Cabeço das Amoreiras; Russia: 9 Popovo; Serbia: 10 Lepenski Vir, 11 Vlasac; Sweden: 12 AlmeÖ, 13 Bredasten, 14 SjÖholmen, 15 Skateholm I, 16 Skateholm II).
FIG. 4. — A in Animals in Mesolithic Burials in Europe
FIG. 4. — A, selected skeletal/body parts of mammals; B, other unmodified parts of mammals in Mesolithic burials. (Denmark: 1 Bloksbjerg (?), 2 Hammelev, 3 Henriksholm-Bøgebakken, 4 Nederst, 5 Nivå 10, 6 Strøby Egede, 7 Vedbaek, Gøngehusvej 7; France: 8 Abri Cornille- Sulauze I, 9 Auneau, 10 Aven des Iboussières, 11 La Chaussée-Tirancourt, 12 Le Cheix, 13 Concevreux "les Jombras", 14 Hoëdic, 15 Le Peyrat,16 Téviec, 17 Le Trou Violet,18 Val-de-Reuil,19 La Vergne; Germany: 20 Bad Dürrenberg,21 Berlin-SchmÖckwitz, 22 BlätterhÖhle,23 Gross Fredenwalde, 24 SchÖpsdorf, site 14; Great Britain: 25 Aveline's Hole (?); Italy: 26 Arene Candide,27 Grotta dell'Uzzo, 28 Mezzocorona; Latvia: 29 Zvejnieki (modified hoofs); Luxemburg: 30 Abri du Loschbour; Netherlands: 31 Dalfsen, 32 Oirschot V-21; Poland: 33 Dudka, 34 Janisławice, 35 Kamieński, site 1, 36 Mszano, 37 Pomorsko 1, 38 Wożna Wieś 1; Rumania: 39 Schela Cladovei; Russia: 40 Černaja guba I, 41 Olenij ostrov, 42 Peschanitsa, 43 Popovo, 44 Szamozerskij II; Serbia: 45 Hajdučka Vodenica,46 Lepenski Vir,47 Padina, 48 Vlasac; Spain: 49 Los Azules, 50 Los Canes; Sweden: 51 Skateholm I, 52 Skateholm II, 53 Tågerup; Ukraine: 54 Zamil'Koba 1).
FIG. 6 in Animals in Mesolithic Burials in Europe
FIG. 6. — Amphibians and Reptiles in Mesolithic burials. (Germany: 1 Bad Dürrenberg; Latvia: 2 Zvejnieki; Sweden: 3 Skateholm I, 4 Skateholm II).
PALEODEM/Social networks mediated the rapid spread of Mesolithic trapeze industries in Iberia
<p>This repository contains data files, R codes and the agent-based model used to produce the analysis of cultural diffusion in the case study of the spread of Mesolithic trapezes industries in Iberia.</p> <p>They correspond to the following reference:</p> <p>Romano, V, Gómez-Puche, M., Cucart-Mora, C., Fernández-López de Pablo, J., Lozano, S. “Social networks mediated the rapid spread of Mesolithic trapeze industries in Iberia”</p> <p>We specify the content of each folder/file further down:</p> <ol> <li>Data files folder contains empirical data employed in the analysis. More precisely contains 3 archives with the geographic coordinates of archaeological sites from TS1, TS2 and TS3 and the Distances matrices file.</li> <li>R codes folder contains the scripts to reproduce the analyses, as well as the csv files employed.</li> <li>Social diffusion model folder contains the NetLogo model employed.</li> </ol> <p>Additionally, we provide the empirical dataset of lithic assemblages (n=70) and archaeological sites (n=53) analyzed in this work (Table S1.xlsx), and a list of archaeological references corresponding to archaeological sites analyzed.</p>
Mesolithic Plant Processing Unveiled: Multiscale Use-Wear Analysis of the Ground Stone Tools from Vlasac (Serbia)
<p>This repository contains the raw data and code to reproduce the analyses presented in the paper "Mesolithic Plant Processing Unveiled: Multiscale Use-Wear Analysis of the Ground Stone Tools from Vlasac (Serbia)" by Zupancich et al.</p> <p>The repositiory includes:</p> <ul> <li>CSV files containing the raw data of:</li> <li>3D surface measurement of experimental and archaeological ground stone tools</li> <li>Use wear spatial distribution</li> <li>Ground stone tools techno-morphological data</li> <li>HTML files of the code utilised to perform the analyses</li> </ul>
Mesolithic Spear
Here's the spear for my Final Project piece I am currently creating. Please, go ahead and use this in your own pieces but please credit me for the model. It would be great if you guys could give me project a like on Facebook. Here's the link if you're interested in checking it out! Thanks! https://www.facebook.com/Winters-Call-1104658106407939/?ref=bookmarks Source: Objaverse 1.0 / Sketchfab
A high coverage Mesolithic aurochs genome and effective leveraging of ancient cattle genomes using whole genome imputation. -- VCF file
<p>This is the open-access VCF file that was created in the article: "<strong>A high coverage Mesolithic aurochs genome and effective leveraging of ancient cattle genomes using whole genome imputation."</strong></p> <p><strong>Information about the filtering steps can be found in the method section.</strong></p> <p>Extra information on the sample IDs can be found in the Supplementary tables.</p>
Mesolithic Flake Axe
Playing with macro photos. Medium quality CV photogrammetry scan of a mesolithic flake axe from marine context (DK). **Size 6.5x4x1.5 cm** *Model processed in RC - 116 photos* Source: Objaverse 1.0 / Sketchfab
Reconstruction of Mesolithic hut at Swifterkamp
Reconstruction of Mesolithic hut at the archaeological park 'Prehistorische Nederzetting Swifterkamp' (Lelystad, the Netherlands), built in August 2017. Collaborative project initiated by the Swifterkamp park and an enthusiastic group of Archaeology students (Studievereniging Bachur) from the University of Groningen. This is a reconstruction of a Mesolithic hut (10,000-5,000 BCE), a seasonal dwelling that served as a communal lodging for groups of people travelling from region to region. From here, a large range of activities would be performed like hunting and fishing, depending on the seasonal availability of game, construction material and food. For a short Dutch article in the local newspaper, click the link below. https://www.flevopost.nl/nieuws/lelystad/505257/swifterkampo-heeft-er-een-jagershut-bij.html Source: Objaverse 1.0 / Sketchfab
Danish Mesolithic Axe Head
Danish Mesolithic shaft hole axe. Unprovinienced. Part of the Michigan State University Department of Anthropology archaeology teaching collections. Source: Objaverse 1.0 / Sketchfab
ScienceDex guides
Understand access before you commit
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.