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1,393 results for “traces”
Text-fig. 2. Normapolles range according to Krutzsch table in Góczán et al. 1967. in Tracing Of Palynomorphs In The Eastern Slovakian Karst
Text-fig. 2. Normapolles range according to Krutzsch table in Góczán et al. 1967.
Active fault surface traces of the southern Alpine Fault Zone, New Zealand
<p>This repository contains detailed, lidar-enabled geomorphic mapping of active fault surface traces assoicated with the southern Alpine Fault Zone in New Zealand.</p> <p> </p> <p> </p>
Measured properties in soil samples and marine sediment collected in Galion Bay (Martinique, France) in order to trace erosion sources in insular tropical catchments
<p>This dataset was compiled in order to select the optimal suite of tracers and identify and quantify the main sources of sediment deposited in Galion Bay and associated chlordecone transfers since the 1960s. It includes measured properties for potential sources collected across the Galion catchment (Martinique, France) and along a sediment core sampled in Galion Bay (GAL17-04, N°IGSN TOAE0000000573). Associated with this dataset, metadata are integrated for sources and targets registered using International Geological Sample Numbers (IGSN).</p>
Sorption strategies for recovering critical raw materials: Extracting trace elements from saltworks brines
<p><span>Rising population, industrialisation, and resource demand intensify resource limitations, particularly critical for European Union (EU) industries dependent on raw materials. Based on economic importance and supply risk, 32 Critical Raw Materials (CRMs) and two strategic raw materials were identified in 2023. With most CRMs sourced outside the EU, sea mining emerges as a promising secondary resource for CRMs extraction from seawater, although the harvest of Trace Elements (TEs) will require energy-intensive processes. Several EU-funded projects explore circular economy and resource recovery, considering sorption methods’ potential to extract TEs from brines. Commercial polymeric (IRC747, S940, MTX8010) and inorganic (SbTreat, SrTreat) sorbents, plus another synthesised inorganic one (CuHCF), were assessed for recovering TEs (cobalt, gallium, germanium, rubidium, strontium, caesium) from saltworks brines (bitterns). Polymeric sorbents, containing chelating functional groups, effectively targeted cobalt, gallium, and strontium, commercial inorganic sorbents favoured cobalt, gallium, germanium and strontium, and CuHCF targeted rubidium and caesium. Kinetic batch experiments demonstrated rapid element retention (≤30 min) by most sorbents. In dynamic column experiments, high sorption capacities were observed for cobalt and gallium with the polymeric sorbents, particularly for aminophosphonic sorbents (IRC747 and S940) (≥2.1 mg/g). SrTreat exhibited also a high sorption capacity of 7 mg/g for strontium, SbTreat achieved 20 mg/g for gallium and germanium and CuHCF retained rubidium (10 mg/g) and caesium (70 mg/g). Acidic desorption effectively recovered (>70 %) most of the elements from the sorbents, achieving concentration factors up to 708 for cobalt with IRC747 and S940, highlighting the potential valorisation of saltworks bitterns.</span></p>
Tracing the Path from Conservation to Expansion Evolutionary Insights into NLR Genes in Oleaceae
<p>Supplementary data files for the family Oleaceae, including the NLR gene outputs and Ka/Ks analysis result files.</p>
Codes for identification of the earliest terrestrial trace fossils
<p>This repository contains the CFDEM (<a href="http://www.cfdem.com/" target="_blank" rel="noopener">www.cfdem.com<span>(opens in new window)</span></a>) and Matlab codes with our own developments to reproduce trace fossils in different environments (three zip files) and deduce putative trace-makers (CurveGithub.m). You can also get access to a free software for trace-maker identification through <a href="https://zenodo.org/records/10259553" target="_blank" rel="noopener">https://zenodo.org/records/10259553<span>(opens in new window)</span></a>.</p> <p>Codes.zip contains the CFDEM solvers to reproduce translational and rotational motion of the trace-makers/appendages (cfdemSolverPisoSTL0, cfdemSolverPisoSTL), along with the necessary semi-resolved force models (gradPForce, viscForce, GidaspowDragsemi). Steps to compile these codes are written in Readme within the compressed file. If you want to use relatively coarse mesh (mesh size at least three times larger than sediment diameter) to accelerate simulations, please use the default unresolved forces models. In that case, only the provided solvers needs to be compiled. But the force model lists in case/CFD/constant/couplingProperies needs to be adjusted. Please refer to the benchmark cases in <a href="http://www.cfdem.com/" target="_blank" rel="noopener">www.cfdem.com<span>(opens in new window)</span></a> to learn to use CFDEM.</p> <p>Benchmark_case.zip contains a benchmark validation of the moving cube on submerged sands. Appendage.zip contains a moving appendage on subaerial wet sands. The details about how to run the cases are written in the Readme file in each compressed file.</p>
Sanger sequencing traces experimental evolution rVSV-SADS
<p>A recombinant vesicular stomatitis virus (VSV) expressing the spike glycoprotein of swine accute diarrhea syndrome virus (SADS) (rVSV-SADS) was serially passaged in three human cell lines (Huh-7, H23, OVCAR-8). The wild-type (WT), initial virus (P0) and final viruses at passage 10 (P10) were sequenced using Sanger sequencing. The seuquence traces are attached.</p>
Characterizing and targeting glioblastoma neuron-tumor networks with retrograde tracing
<h2>Dataset</h2> <p>Space ranger output (Visium platform) of two human slice culture samples (S1 & S2) injected with GBstarter cells (<span><span>Tetzlaff et al., 2024</span></span>). </p>
Fault Traces Dataset for Zou and Fialko Earth and Space Sciences Manuscript
<p>The 'xx_fault.dat' contains the linked fault traces of different regions (nz: Northern New Zealand; nv: Basin and Range Province; ca: Ventura County, California; np: Pennsylvania and Northern New Jersey); The 1st and 2nd columns are UTM coordinates; The 3rd column is the random number assigned for distinguishing each fault traces.</p> <p>The 'xx_len.dat' contains the length of each fault trace in the corresponding regions, in km.</p> <p>The other '.dat' files and the 'SunData.xls' contain the length of fractures from outcrop and lab data. All of them are frequency distribution, except the 'LaHouve_Villemin.dat' which is already in cumulative distribution. The unit of 'SunData.xls' is mm; for the two 'Bahat' datasets is cm; for the rest of the outcrop data is m.</p> <p>The .m files are the codes for calculating cumulative length distribution, frequency density distribution, and fault connection.</p> <p> </p> <p> </p> <p>For any questions please contact Xiaoyu Zou via x3zou@ucsd.edu</p>
Monthly averaged lightning and trace gases data extracted from EMAC simulations (2007, T42L90MA resolution)
<pre>About Dataset Monthly averaged lightning and trace gases data extracted from EMAC simulations (2007, T42L90MA resolution) Authors: Francisco J. Pérez-Invernon, Francisco J. Gordillo-Vázquez, Heidi Huntrieser, Patrick Jöckel and Eric J. Bucsela Description of the data CTR simulations: CTR_*.nc files LNOfs simulation: LNOfs_*.nc files *tr_*.nc: Monthly averaged trace gases *lnox*.nc: Monthly averaged lightning data<br>*ECHAM5*.nc: Monthly averaged dynamical variables<br>*grid_def*.nc: Monthly averaged grid variables<br>*tropop*.nc: Monthly averaged tropospheric variables </pre> <pre>File format: netcdf</pre> <p> </p>
MCMC Traces for GitHub repo "JuBiotech/petase-paper"
<p>Additional MCMC data to re-run analyses from https://github.com/JuBiotech/petase-ts-paper. To use the existing notebooks, please clone the GitHub repository and download and unzip this folder. Afterwards, merge this dataset and its folder structure with the existing folder "data_analysis" of the repo.</p>
Tracing diurnal variations of atmospheric CO2, O2 and δ13CO2 over a tropical and a temperate forest
<p>These are the datasets of the campaigns used in the paper: <em>Tracing diurnal variations of atmospheric CO2, O2 and δ13CO2 over a tropical and a temperate forest. </em>Two campaigns are included: <em>CloudRoots </em>and <em>Loobos</em>. Have a look at the README files on the specifics of what is inside the files and how to cite these datasets. </p> <p> </p>
DDoS and host background traffic - Pcap traces
<p>This dataset includes Pcap files with DDoS and background traffic related to a host machine. Data can be used to test host-based DDoS detection solutions. DDoS traffic has been generated using the following tool: https://github.com/ricardojoserf/ddos simulation/tree/master</p> <p>Each archive include a different number of malicious IP addresses, specified in the .zip file name.</p> <p><br>If you use this dataset, please credit us by citing our paper:</p> <p><code>M. Zang, F. De Iaco, J. Wu, M. Savi, <em>In-Kernel Traffic Sketching for Volumetric DDoS Detection</em>, in IEEE International Conference on Communications (ICC), Jun. 2025</code></p> <p>If using LaTeX, you can use the following BibTeX:<br><br><code>@inproceedings{zang2025ebpfsketching,</code><br><code> title={In-Kernel Traffic Sketching for Volumetric DDoS Detection},</code><br><code> author={Zang, Mingyuan and De-Iaco, Federico and Wu, Jie and Savi, Marco},</code><br><code> booktitle={IEEE International Conference on Communications (ICC)},</code><br><code> year={2025},</code><br><code>}</code></p>
Imaging thermocline microstructure in 2D with swaths traced by wave-pumped χpods: dataset and code
<p><a href="https://doi.org/10.1029/2024JC022134">Associated paper</a> published in <em>J. Geophys. Res. Oceans</em></p> <h2>Dataset summary</h2> <p>Location: 0°N, 140°W<br>Depth: 120 m<br>Period: 16-Sep-2014 to 19-Oct-2015</p> <p>This data archive contains two types of data files:<br>data_yymmdd.mat<br>grid_yymmdd.mat<br>Each file contains 24 hours of data. There are 394 of each type.</p> <p>Arrays in data_yymmdd.mat are single precision (except the 'time' array) to keep file sizes small.</p> <h2>Contents of the data files</h2> <p>Each Matlab file contains a single struct. These structs include readmes, which are reproduced in the full PDF readme (chipod_swaths_readme.pdf).</p> <p>Files are grouped into months and zipped (yymm.zip) to ease downloading.</p> <h2>Reading the data file with Python</h2> <p>Example code to read the files into Python as dictionaries is given in the full PDF readme (chipod_swaths_readme.pdf).</p> <h2>Matlab code to produce the processed data</h2> <p>The code to read in raw chipod data and process them is primarily contained in the file 'swaths_paper_data_preparation.m'. This file calls three other files ('raw_load_chipod.m', 'deglitch.m', and 'bin.m'). All of these files are provided for completeness, but we are only archiving the processed outputs (not the raw voltage signals). Please email if more information is needed.</p> <h2>Matlab code for the convolutional neural network</h2> <p>See 'chipod_swaths_convolutional_neural_network.m'.</p>
FIG. 15. – Traces d in Les objets de parure associés au dépôt funéraire mésolithique de Grosse Ofnet: implications pour la compréhension de l'organisation sociale des dernières sociétés de chasseurs-cueilleurs du Jura Souabe
FIG. 15. – Traces d'usure à la surface des C. rustica. Echelle 1 mm
Perceived image quality of real time ray tracing in video games survey image archive
<p>These screenshots were used in my Bachelor’s Thesis Perceived image quality of real time ray tracing in video games survey. Images have been labeled with RT ON or RT OFF depending on whether the screenshot contains ray traced graphics or not. Original survey did not have these labels.<br> <br> Images 1-5 are from Control, Images 6-10 are from Shadow of the Tomb Raider, Images 11-15 are from Cyberpunk 2077 and Images 16-20 are from Metro Exodus and Metro Exodus Enhanced Edition.</p>
Text-fig. 19. Carnivore chewing traces on the olecranon process of ulna 98-599-B. in Consumption Of Canid Meat At The Gravettian Předmostí Site, The Czech Republic
Text-fig. 19. Carnivore chewing traces on the olecranon process of ulna 98-599-B.
Text-fig. 14. Longitudinal scraping marks on radius 98-595-B, root traces visible on the shaft. in Consumption Of Canid Meat At The Gravettian Předmostí Site, The Czech Republic
Text-fig. 14. Longitudinal scraping marks on radius 98-595-B, root traces visible on the shaft.
Fault trace data and supplementary table and figures of "Fault trace corrugation and segmentation as a measure of fault structural maturity"
<p>Fault trace data and supplementary information to the paper "Fault trace corrugation and segmentation as a measure of fault structural maturity" by Manighetti I., Mercier A., and de Barros L., Sept. 2021</p>
Impact of 3D Cloud Structures on the Atmospheric Trace Gas Products from UV-VIS Sounders: Synthetic dataset for validation of trace gas retrieval algorithms
<p>This data set is described in detail in a paper submitted to AMTD:</p> <p><strong>Impact of 3D Cloud Structures on the Atmospheric Trace Gas Products from UV-VIS Sounders - Part I: Synthetic dataset for validation of trace gas retrieval algorithms</strong></p> <p>by Claudia Emde, Huan Yu, Arve Kylling, Michel van Roozendael, Kerstin Stebel, Ben Veihelmann, and<br> Bernhard Mayer</p> <p> </p> <p>The subdirectory <em>boxcloud</em> includes synthetic reflectances for clearsky, 1D cloud and box cloud.</p> <p>The subdirectory <em>les_cloud</em> includes synthetic reflectances for the LES cloud scenario for low earth orbit (<em>leo</em>) and geostationary orbit (<em>geo</em>).</p> <p>All data are provided in <em>netcdf</em> format.</p> <p> </p>
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Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
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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.