Skip to main content
Powered by ShareScore

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.

3

datasets available to search

ShareScore release 0.9.0

Reset

Dataset results

3 results for “Lithic technology”

Learn how ShareScore rates datasets ↗
zenodo44/100

Research compendium for 'Refitting the Context: A Reconsideration of Cultural Change among Early Homo sapiens at Fumane Cave through Blade Break Connections, Spatial Taphonomy, and Lithic Technology'

<div> <h3>Compendium DOI:</h3> <p><a href="../doi/10.5281/zenodo.10965413">https://zenodo.org/doi/10.5281/zenodo.10965413</a>&nbsp;</p> </div> <p>The content available at the above provided URL will reproduce the results as documented in the publication. Instead, the files hosted at&nbsp;<a href="https://github.com/ArmandoFalcucci/Refitting-The-Context">https://github.com/ArmandoFalcucci/Refitting-The-Context</a>&nbsp;represent the developmental versions and might have undergone modifications since the paper's publication.</p> <div> <h3>Maintainer of this repository:</h3> </div> <p>Armando Falcucci (<a href="mailto:armando.falcucci@uni-tuebingen.de">armando.falcucci@uni-tuebingen.de</a>)</p> <div> <h3>Published paper:</h3> </div> <p>Armando Falcucci, Domenico Giusti, Filippo Zangrossi, Matteo De Lorenzi, Letizia Ceregatti, Marco Peresani. Refitting the Context: Revisiting the Aurignacian sequence at Fumane Cave through blade fragment connections, spatial taphonomy, and lithic technology.&nbsp;<em>Journal of Paleolithic Archaeology</em>&nbsp;(2024). DOI:&nbsp;<a href="https://doi.org/10.1007/s41982-024-00203-0" rel="nofollow">10.1007/s41982-024-00203-0</a></p> <div> <h3>Abstract:</h3> </div> <p>High-resolution stratigraphic frameworks are crucial for unraveling the biocultural processes behind the dispersals of Homo sapiens across Europe. Detailed technological studies of lithic assemblages retrieved from multi-stratified sequences allow archaeologists to precisely model the chrono-cultural dynamics of the early Upper Paleolithic. However, it is of paramount importance to verify the integrity of these assemblages before building explanatory models of cultural change. In this study, multiple lines of evidence suggest that the stratigraphic sequence of Fumane Cave in northeastern Italy experienced minor post-depositional reworking, establishing it as a pivotal site for exploring the earliest stages of the Aurignacian. By conducting a systematic search for break connections between blade fragments and applying spatial analysis techniques, we identified three well-preserved areas of the excavation containing assemblages suitable for renewed archaeological investigations. Subsequent technological analyses, incorporating attribute analysis, reduction intensity, and multivariate statistics, have allowed us to discern the spatial organization of the site during the formation of the Protoaurignacian palimpsest A2&ndash;A1. Moreover, diachronic comparisons between three successive stratigraphic units prompted us to reject the hypothesis of techno-cultural continuity of the Protoaurignacian in northeastern Italy after the onset of the Heinrich Event 4. Based on the variability of the lithic and osseous artifacts, the most recent assemblage analyzed, D3b alpha, is now ascribed to the Early Aurignacian, aligning the evidence from Fumane with the current understanding of the development of the Aurignacian across Europe. Overall, this study demonstrates the high effectiveness of the break connection method when combined with detailed spatial analysis and lithic technology, providing a methodological tool particularly amenable to be applied to sites excavated in the past with varying degrees of recording accuracy.</p> <div> <h3>Keywords:</h3> </div> <p>Protoaurignacian; Early Aurignacian; Lithics; Refittings; Assemblage integrity; Spatial analysis; Italy</p> <div> <h3>Overview of contents and how to reproduce:</h3> </div> <p>Within this repository, various folders house data (<code>data</code>), code (<code>script</code>), and output files (<code>output</code>) pertinent to the paper. The data folder encompasses the blank and core datasets from the Aurignacian of Fumane Cave and the dataset of the blade fragment connection study. To replicate the results, download the entire repository and employ&nbsp;<code>Refitting-The-Context.Rproj</code>&nbsp;and open the folder&nbsp;<code>script</code>. For ensuring reproducibility, the&nbsp;<code>renv</code>&nbsp;package (v. 1.0.3) was utilized, following the procedures detailed in its vignette. All analyses and visualizations in the paper were conducted using R 4.3.1 on Microsoft Windows 10.0.19045 (64-bit). As the necessary packages are available in the&nbsp;<code>renv</code>&nbsp;folder, they are not explicitly listed here.</p> <div> <h3>Licenses:</h3> </div> <p>Code:&nbsp;<strong>MIT</strong>&nbsp;<a href="http://opensource.org/licenses/MIT" rel="nofollow">http://opensource.org/licenses/MIT</a>, copyright holder: Armando Falcucci (2024).</p> <p>Data and intellectual work:&nbsp;<strong>Creative Commons Attribution 4.0 International License</strong>&nbsp;(<a href="http://creativecommons.org/licenses/by/4.0/" rel="nofollow">http://creativecommons.org/licenses/by/4.0/</a>), copyright holder: the authors (2024).</p>

opencc-by-4.0May 2024View details →
zenodo36/100

Research compendium for 'Hussain et al. (2023) A pan-European dataset revealing variability in lithic technology, toolkits, and artefact shapes ~15-11 kya'

<p><strong>Research compendium for &#39;A pan-European dataset revealing variability in lithic technology, toolkits, and artefact shapes ~15-11 kya&#39; </strong></p> <p><strong>Compendium DOI:</strong></p> <p><a href="https://doi.org/10.5281/zenodo.7940337">https://doi.org/10.5281/zenodo.7940337</a></p> <p>The files at the URL above will generate the results as found in the publication. The files hosted at <a href="https://github.com/yesdavid/1511NAC_Dataset">https://github.com/yesdavid/1511NAC_Dataset</a> are the development versions and may have changed since the paper was published.</p> <p><strong>Maintainer of this repository:</strong></p> <p>David N. Matzig (<a href="mailto:david.matzig@cas.au.dk">david.matzig@cas.au.dk</a>; <a href="http://orcid.org/0000-0001-7349-5401">http://orcid.org/0000-0001-7349-5401</a>)</p> <p><strong>Published in:</strong></p> <p>Shumon T. Hussain, Felix Riede, David N. Matzig, Miguel Biard, Philippe Cromb&eacute;, Federica Fontana, Daniel Gro&szlig;, Thomas Hess, Mathieu Langlais, Javier Fern&aacute;ndez-Lop&eacute;z de Pablo, Ludovic Mevel, William Mills, Martin Mon&iacute;k, Nicolas Naudinot, Caroline Posch, Tomas Rimkus, Damian Stefański, Hans Vandendriessche. A pan-European dataset revealing variability in lithic technology, toolkits, and artefact shapes ~15-11 kya. <em>Sci Data</em> <strong>10</strong>, 593 (2023). <a href="https://doi.org/10.1038/s41597-023-02500-9">https://doi.org/10.1038/s41597-023-02500-9</a>.</p> <p><strong>Abstract:</strong></p> <p>Comparative macro-archaeological investigations of the human deep past rely on the availability of unified, quality-checked datasets integrating different layers of observation. Information on the durable and ubiquitous record of Paleolithic stone artefacts and technological choices are especially pertinent to this endeavour. We here present a large expert-sourced collaborative dataset for the study of stone tool technology and artefact shape evolution across Europe between ~15.000 and 11.000 years before present. The dataset contains a compendium of key sites from the study period, and data on lithic technology and toolkit composition at the level of the cultural taxa represented by those sites. The dataset further encompasses 2D shapes of selected lithic artefact groups (armatures, endscrapers, and borers) shared between cultural taxa. These data offer novel possibilities to explore within- and between-region patterns of material culture change to reveal scale-dependent processes of long-term technological evolution in mobile hunter-gatherer societies at the end of the Pleistocene. Our dataset facilitates state-of-the-art quantitative analyses and showcases the benefits of collaborative data collation and synthesis.</p> <p><strong>Keywords:</strong></p> <p>Europe; Pleistocene-Holocene transition; Late Glacial archaeology; lithic technology; comparison; macro-archaeology; taxonomy; cultural evolution; digital methods; computational morphometrics; collaborative research; open science</p> <p><strong>Overview of contents and how to reproduce:</strong></p> <p>This repository contains data (<code>1_data</code>) and code (<code>2_scripts</code>) for the paper, as well as the <code>1511NAC_Dataset</code> folder. The <code>1511NAC_Dataset</code> folder contains all relevant data for the readers to start their own analyses using the dataset. After downloading the complete repository, the results can be reproduced using <code>1511NAC_dataset.Rproj</code> and the existing folder structure. The required packages and their versions which have been used in this study are listed below and in the <code>DESCRIPTION</code>-file. All analyses and visualisations presented in this paper were prepared in R 4.2.2 under Ubuntu 18.04.5 LTS (64-bit).</p> <p><strong>Required R-packages and their versions:</strong></p> <p><code>data.table</code> (&gt;= 1.14.8), <code>dplyr</code> (&gt;= 1.1.2), <code>forcats</code> (&gt;= 1.0.0), <code>ggforce</code> (&gt;= 0.4.1), <code>ggplot2</code> (&gt;= 3.4.2), <code>ggpointgrid</code> (&gt;= 1.2.0), <code>ggridges</code> (&gt;= 0.5.4), <code>magrittr</code> (&gt;= 2.0.3), <code>Momocs</code> (&gt;= 1.4.0), <code>outlineR</code> (&gt;= 0.1.0), <code>raster</code> (&gt;= 3.6-20), <code>readr</code> (&gt;= 2.1.4), <code>remotes</code> (&gt;= 2.4.2), <code>rgeos</code> (&gt;= 0.6-2), <code>rworldmap</code> (&gt;= 1.3-6), <code>sp</code> (&gt;= 1.6-0).</p> <p><strong>Licenses:</strong></p> <p>Code: <strong>MIT</strong> <a href="http://opensource.org/licenses/MIT">http://opensource.org/licenses/MIT</a>, copyright holder: David Nicolas Matzig (2023).</p> <p>Data and intellectual work: <strong>Creative Commons Attribution 4.0 International License</strong> (<a href="http://creativecommons.org/licenses/by/4.0/">http://creativecommons.org/licenses/by/4.0/</a>), copyright holder: the authors (2023).</p>

opencc-by-3.0Jul 2023View details →
zenodo28/100

Dataset: Technological attribute classification of lithics from Middle and Late Mesolithic sites in western and central Norway

<p>The repository contains data and codes from technological attribute classification of lithic blade assemblages from 29 Middle and Late Mesolithic settlement sites (dated to c. 7500-5000 BC) in western and central Norway. The data was collected by the research project &ldquo;The Storegga tsunami c. 6150 BC - a wave of destruction and the start of something new?&rdquo;, funded by The Research Council of Norway (<span><span>FRIPRO-project no</span></span>. 302858).</p> <p>The data and coding supports the findings of the paper "Lithic technology before and after the Storegga tsunami (8200 cal BP) - dissolving large-scale regional trends to identify social impact of crisis in western Norway" by H. Damlien, A.J. Nyland and J. Redmond, submitted to The Holocene.</p> <p>The file contains four sheets:</p> <ol> <li>Protocol: desciptions of selected attributes.</li> <li>Coding.</li> <li>Data from attribute analysis.</li> <li>References.</li> </ol>

opencc-by-4.0Jun 2024View details →

ScienceDex guides

Understand access before you commit

These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

Compare curated 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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record