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.
4,107
datasets available to search
ShareScore release 0.9.0
Dataset results
4,107 results for “pointing”
FIG. 13 in L'outillage façonné utilisé en percussion lancée du site paléolithique moyen du Bois de l'Hôpital (Saint-Sulpice-la-Pointe, Tarn)
FIG. 13. — Outil présentant une partie active en position distale (3.2378) et détail des écaillures présentes sur les deux faces du tranchant. Les caractéristiques de ces traces sont corrélées avec un usage en percussion lancée sur un matériau mi-dur ou dur. Échelles: A, 5 cm; B, C, 2 mm. Photos: C. Viallet.
FIG. 12 in L'outillage façonné utilisé en percussion lancée du site paléolithique moyen du Bois de l'Hôpital (Saint-Sulpice-la-Pointe, Tarn)
FIG. 12. — Outil présentant une partie active en position distale (3.1946) et détail de l'écaillure présente sur la face corticale du tranchant. Échelles: A, 5 cm; B, 5 mm. Photos: C. Viallet.
FIG. 11 in L'outillage façonné utilisé en percussion lancée du site paléolithique moyen du Bois de l'Hôpital (Saint-Sulpice-la-Pointe, Tarn)
FIG. 11. — Outil présentant une partie active en position distale (3.127) et détail des écaillures présentes sur les deux faces du tranchant. Profil d'usure caractéristique d'un usage en percussion lancée sur un matériau dur (os). Échelles: A, 5 cm; B, C, 5 mm. Photos: C. Viallet.
FIG. 10 in L'outillage façonné utilisé en percussion lancée du site paléolithique moyen du Bois de l'Hôpital (Saint-Sulpice-la-Pointe, Tarn)
FIG. 10. — Outil massif présentant une partie active en position distale (3.4731). Détail d'un négatif d'enlèvement massif, avec une initiation en flexion, potentiellement lié à un geste de percussion lancée sur un matériau dur. Échelles: A, 5 cm; B, 5 mm. Photos: C. Viallet.
FIG. 8 in L'outillage façonné utilisé en percussion lancée du site paléolithique moyen du Bois de l'Hôpital (Saint-Sulpice-la-Pointe, Tarn)
FIG. 8. — Outil avec une partie active rectiligne en position distale (0.5128) associé à un geste de percussion lancée et détail de deux écailles avec initiation en flexion et terminaisons abruptes sur la face corticale. Échelles: A, 5 cm; B, 5 mm. Photos: C. Viallet.
FIG. 5 in L'outillage façonné utilisé en percussion lancée du site paléolithique moyen du Bois de l'Hôpital (Saint-Sulpice-la-Pointe, Tarn)
FIG. 5. — Macro-traces obtenues en percussion lancée directe sur os frais. Échelles: 1 mm. Photos: C. Viallet.
FIG. 3 in L'outillage façonné utilisé en percussion lancée du site paléolithique moyen du Bois de l'Hôpital (Saint-Sulpice-la-Pointe, Tarn)
FIG. 3. — Macro-traces obtenues pour différents gestes sur un même matériau, tourillon usiné de hêtre: A, B, translation longitudinale bidirectionnelle; C, D, H, translation transversale unidirectionnelle; E, F, G, translation transversale bidirectionnelle. Échelles: 1 mm. Photos: C. Viallet.
FIG. 9 in L'outillage façonné utilisé en percussion lancée du site paléolithique moyen du Bois de l'Hôpital (Saint-Sulpice-la-Pointe, Tarn)
FIG. 9. — Outil présentant une partie active en position distale (3.5362). Détail des endommagements sur la face corticale du tranchant, liés à un usage en percussion lancée. Détail des traces en coups d'ongles (cônes incipients avortés) sur les surfaces, signes d'un emploi en tant qu'enclume. Échelles: A, 5 cm; B-D, 5 mm. Photos: C. Viallet.
FIG. 7 in L'outillage façonné utilisé en percussion lancée du site paléolithique moyen du Bois de l'Hôpital (Saint-Sulpice-la-Pointe, Tarn)
FIG. 7. — Outil présentant une partie active en position latérale (3.1308) et détail d'une écaille massive avec initiation en flexion. Échelles: A, 5 cm; B, 5 mm. Photos: C. Viallet.
FIG. 4 in L'outillage façonné utilisé en percussion lancée du site paléolithique moyen du Bois de l'Hôpital (Saint-Sulpice-la-Pointe, Tarn)
FIG. 4. — Macro-traces obtenues en percussion lancée directe sur bois frais.Échelles: 1 mm.Photos: C. Viallet.
FIG. 6 in L'outillage façonné utilisé en percussion lancée du site paléolithique moyen du Bois de l'Hôpital (Saint-Sulpice-la-Pointe, Tarn)
FIG. 6. — Schéma récapitulatif des principales structurations fonctionnelles identifiées pour les galets à enlèvements unifaciaux. Infographie: C. Viallet.
FIG. 1 in L'outillage façonné utilisé en percussion lancée du site paléolithique moyen du Bois de l'Hôpital (Saint-Sulpice-la-Pointe, Tarn)
FIG. 1. — Localisation du site sur un replat topographique formé par la basse terrasse Fy du Tarn (centre du secteur étudié: 43°45'7"N, 1°39'20"E). Infographie: M. Rué.
FIG. 14 in L'outillage façonné utilisé en percussion lancée du site paléolithique moyen du Bois de l'Hôpital (Saint-Sulpice-la-Pointe, Tarn)
FIG. 14. — Outil présentant une partie active convergente en position distale (3.2432) et détail des écailles massives présentes sur la face corticale. Échelles: A, 5 cm; B, C, 5 mm. Photos: C. Viallet.
Polygons with small denominator containing a small number of lattice points
<p>The denominator of a rational polytope \(P\) is an integer \(r\) such that the dilated polytope \(rP\) has lattice point vertices. The size of a polytope is the number of lattice points it contains. This dataset contains polygons with denominator 2 and 3 with small size, classified using a growing algorithm as described in [HHK24].</p> <p>The data consists of files "denom_r_size_k_polygons.txt" which record the denominator \(r\) size \(k\) polygons \(P\). Each entry consists of the vertices and volume of \(rP\), the Ehrhart \(\delta\)-vector/\(h^*\)-vector of \(P\), and an ID number, which is unique among polygons of given size and denominator. Entries are ordered by their ID number. There are 50,564 entries in total.</p> <p><strong>Example entry:</strong></p> <p>ID=1<br>Vertices=[[ 1, 0 ], [ 0, 1 ], [ 3, 5 ]]<br>Volume=7<br>DeltaVec=[ 1, 0, 3, 7, 3, 0 ]</p> <p>If you make use of this data, please cite [HHK24] and the DOI for this data:</p> <p>doi:10.5281/zenodo.14230584</p> <p><strong>References:</strong></p> <p>[HHK24] Girtrude Hamm, Johannes Hofscheier, Alexander Kasprzyk, Classification and Ehrhart Theory of Denominator 2 Polygons. (preprint) arxiv:2411.19183</p>
SANER 2022 - Industrial Track - Investigating the Point of View of Project Management Practitioners on Technical Debt - A Preliminary Study on Stack Exchange
<p>Dataset related to the paper Investigating the Point of View of Project Management Practitioners on Technical Debt - A Preliminary Study on Stack Exchange. </p> <p> </p> <p>Saner 2022 Industrial Track</p>
TripAdvisor Points of Interest
<p>Dataset with Point of Interest (POI) reviews from TripAdvisor that includes text and images from different cities.</p>
Glaciological data (point mass balance, SWE, snow depth, bulk snow density, modelled runoff) from Werenskioldbreen (Svabard) 2009-2020
<p>This repository contains supporting data associated to the manuscript to <em>Earth System Science Data: </em></p> <p><strong>Ignatiuk D., Błaszczyk M., Budzik T., Grabiec M., Jania J., Kondracka M., Laska M., Małarzewski Ł., Stachnik Ł. A decade of glaciological and meteorological observations in the High Arctic (Werenskioldbreen, Svalbard)</strong></p> <p>In 2009-2020, 9 ablation stakes were installed on the Werenskioldbreen.<strong> </strong>Based on the data collected, the following glaciological variables are available for Werenskioldbreen: annual and seasonal point ablation and accumulation, snow cover depth, bulk snow density and SWE (snow water equivalent) at the measuring points and modelled total runoff from the surface ablation. </p>
Abundance of Weyl points in semiclassical multi-terminal superconducting nanostructures
<p>Jupyter notebooks for generating and analysing the data. </p> <p>Data for statistics.</p> <p>Figures and plots.</p>
Surface and Internal Data Collected from Peninsula Point, NWT, Canada between 2016 to 2018
<p>This dataset contains field data collected in 2016, 2017 and 2018 at Peninsula Point, NWT, Canada.<br> All the data is in the UTM zone 8 projection, aside from the fence diagram, which is just a 3D object file.</p> <p><br> The “PointClouds” file contains LAS files for 2016, 2017 and 2018. The 2016 point cloud was created by partners at Natural Resources Canada, using images collected by the DJI Phantom 3 and processed using the Pix4D software using the Structure from Motion-Multi View Stereo photogrammetric method. The 2017 and 2018 point clouds were created using images from the DJI Phantom 4, and processed using Agisoft Photoscan. The 2017 and 2018 point clouds were finely co-registered to the 2016 data using CloudCompare, while the 2016 data was registered using 10 black and white markers distributed across the site and georeferenced using a RTK system.</p> <p>The “MassiveIceSurface” file is a GeoTiff representing the surface of the buried massive ice layer. The measurements were made using the Tromino passive seismic monitoring device along three transects each containing three points, and the IDW interpolation in ArcGIS was used to generate a surface layer.</p> <p>The “HeadwallsShapefiles” file contains the digitised actively retreating headwall positions in each year, created in ArcGIS.</p> <p>The “Headwall_Transects_5m” file contains transect at roughly 5 m intervals that pass through the headwalls and were used to document headwall retreat rates and the exposed headwall constituents (i.e., overburden thickness and ice thickness).</p> <p>The “HeadWallPredictions” contain the different methods used to predict the 2018 headwall position using:</p> <ol> <li>an extrapolation of the 2016-2017 rates (ExtrapolatedFrom16to17)</li> <li>the observed rates from Mackay 1986 (<a href="https://doi.org/10.4095/120445">https://doi.org/10.4095/120445</a>) (MackayPredictedHeadwalls)</li> <li>Metrics based on the predicted overburden and massive ice thickness using the massive ice surface model and applied to the 2016-2017 retreat rates (IceBodyPredictLine)</li> <li>Metrics based on the assumption that the 2017 headwall constituents continue inland, and applied to the 2016-2017 retreat rates (ObservationsPredictionLine)</li> </ol> <p>The “DetailedTransectData” is a spreadsheet containing the headwall retreat rates and headwall constituents in each years across transects in “Headwall_Transects_5m”. The first sheet contains all the data, the second sheet contains the transects that had at least 1 year with massive ice present, and the third sheet contains the transects that that covered the region containing the “MassiveIceSurface” model, and the predicted headwall retreat rates, the shapefiles of which are contained in the “HeadWallPredictions” file.</p> <p>The “PenPointTrominoData&IceObs” is a spreadsheet containing the passive seismic measurement points and the processing options – Signal filtering range (Range), Standard Deviation (SD) and the filter type (Filter). It also contain the ice surface measurement points derived from observations of the headwall in 2017.</p> <p> </p> <p>There will be an accompanying peer reviewed paper in the coming year that provides further details, and a link will be added when available.</p>
Labeled points for four land cover classes referring to the year 2019
<p>This dataset provides hand-labeled points for four different land cover classes in coastal areas (sand, seawater, grass, trees).</p> <p>It was created based on photointerpretation of high-resolution imagery in Google Earth Pro and QGIS, referring to the year 2019.</p> <p>This dataset was used for the random forest classification of satellite imagery in the following manuscript: </p> <p>"<em>Satellite image processing for the coarse-scale investigation of sandy coastal areas</em>".</p> <p>If you use any part of this dataset, please cite as follows:</p>
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.