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.
739
datasets available to search
ShareScore release 0.9.0
Dataset results
739 results for “Prints”
Roll-to-roll, high-resolution 3D printing of shape-specific particles
<p>Particle fabrication has attracted recent attention due to its diverse applications in bioengineering, drug and vaccine delivery, microfluidics, granular systems, self-assembly, microelectronics, and abrasives. Herein we introduce a scalable, high-resolution, 3D printing technique for the fabrication of shape-specific particles based on roll-to-roll continuous liquid interface production (r2rCLIP). We demonstrate r2rCLIP using single-digit, micron-resolution optics in combination with a continuous roll of film (in lieu of a static platform), enabling the rapidly permutable fabrication and harvesting of shape-specific particles from a variety of materials and complex geometries, including geometries not possible to achieve with advanced mould-based techniques. We demonstrate r2rCLIP production of mouldable and non-mouldable shapes with voxel sizes as small as 2.0 × 2.0 μm<sup>2</sup> in the print plane and 1.1 ± 0.3 μm unsupported thickness, at speeds of up to 1,000,000 particles per day. Such microscopic particles with permutable, intricate designs enable direct integration within biomedical, analytical and advanced materials applications.</p>
Results of the mechanical characterization by tensile tests and the in vitro cell-biomaterial interaction analyses by WST-1 and Live/Dead of 3D-printed scaffolds generated by PLA, PCL, FF, FD and GelMA
<p>Dataset containing the quantitative results of the mechanical characterization, and the in vitro cell-biomaterial interaction analyses with neural cells after 72 hours and 7 days of cell culture of the following 3D printed scaffolds:</p> <ul> <li>Polylactic acid (PLA)</li> <li>Polycaprolactone (PCL)</li> <li>Conductive Filaflex (FF)</li> <li>Flexdym (FD)</li> <li>GelMA (G)</li> </ul> <p>The Live/Dead results were quantified using ImageJ software to determine area fractions corresponding to live (green) and dead (red) cells.</p>
ND250 as a prediction error signal in orthographic processing: insights from the comparison of handwritten and printed words
<p><span>This dataset contains electroencephalography (EEG) recordings and behavioral data from a study investigating the neural mechanisms of visual word recognition in native Chinese speakers. The study used a color decision task, where participants viewed printed and handwritten Chinese single-character words varying in lexical frequency (high-frequency vs. low-frequency). The primary aim was to examine the N250 ERP component, a 250-ms difference in brain activity observed between certain word types, and determine whether it reflects activation of the orthographic lexicon or a prediction error signal during orthographic processing. The findings suggest that the N250 is related to prediction error, providing support for the Interactive Account of orthographic processing.</span></p>
3D-Printed Pulsator to Enhance Mass Transfer in Electrochemical Reactors HardwareX submission
<p>This repository contains CAD drawing, data, Python codes, and Arduino sketch files for submission to HardwareX journal titled "3D-Printed Pulsator to Enhance Mass Transfer in Electrochemical Reactors". The CAD file can be open with FreeCAD 1.1.0dev or newer. Python codes were used to analyzed and generate figures from electrochemical data for the publication. Arduino sketch files were use for controlling the electrical motor used in the experimental setup for the publication.<br><br>The abstract of the publication is provided below.<br><br>This study presents a cost-effective diaphragm pulsator, constructed for approximately €500, designed to enhance mass transport in laboratory electrochemical reactors. The pulsator allows accurate control of pulsation frequency between 1 Hz and 6 Hz and displacement volume, with simple programmability using an Arduino microcontroller. The design features multiple chambers that effectively isolate corrosive liquids from the mechanical components, ensuring durability and extended operational life. The pulsator's 3D-printed components can be customized with different materials to suit various applications. Engineered to generate a pulsating flow profile that closely resembles a sinusoidal wave, video tracking analysis confirmed the sinusoidal nature of the flow, demonstrating consistent flow profile generation with adjustable frequency and amplitude. The maximum volume displacement achieved was 11.9 mL, which was reduced to 2.0 mL when the electrochemical cell was connected. Limiting current experiments with a ferri/ferrocyanide electrolyte showed that the mass transport coefficient of a typical cell increased from 2.3 × 10⁻³ cm/s under constant flow to 4.5 × 10⁻³ cm/s under pulsating conditions. These findings validate that the adjustable, Arduino-programmable sinusoidal pulsation generated by the diaphragm pulsator offers a practical and customizable method for enhancing mass transport in small-scale electrochemical reactors. </p>
Methodology of diachronic analysis of old prints and its validation by tracing the changing meaning of key concepts in the intellectual debate of 16th century Italy
<p>This dataset in corpus.zip file contains OCR texts for 16th century Italian books available from BNF (folder gallica) and archive.org (folder internetarchive). Source URL is given in 1st line of each text file. The pages within each document may come in order different than in the source, however, the order of lines in each page is preserved. The archive is protected with password, which will be made public immediately after the publication of the related research paper under the same title.</p> <p>Samples of three documents along with images of their initial pages are provided at the current time.</p>
Experimental dataset on basal stresses and seismic signals generated by granular flows moving on a 3D-printed bumpy substrate
<p>This dataset provides the data supporting the experimental study of granular flows moving on a 3D-printed bumpy substrate considering the response of basal stresses and seismic signatures.</p> <p>S1_video clips_the side-view of the kinematic behaviors of the granular flows tracked by a high-speed camera.</p> <p>S2_data_stress and seismic signals measured at the instrumented plate</p> <p>S3_data_example of velocity fields downstream and normal to the base<br>S4_data_propagation features of the flow characterized by basal stresses and seismic signals<br>S5_data_variations of the depth-averaged velocity of the granular flows and corresponding nondimensionalized downslope velocity profiles<br>S6_data_profiles of the velocity of the granular flows normal to the base along with their depth-averaged velocities in the basal layers<br>S7_data_ nondimensionalized shear rates of the granular flows for various particle diameters <br>S8_data_depth-averaged shear rates and corresponding inertial numbers for granular flows with different particle sizes<br>S9_data_the mean normal stress and shear stress and stress fluctuations normal and tangential to the base<br>S10_data_characteristics of seismic signals in terms of peak amplitude, mean envelope, seismic deviation factor, and the signal mean frequency<br>S11_data_effective basal friction coefficient and equivalent friction coefficient as functions of particle diameter<br>S12_data_relationships between nondimensionalized normal stress fluctuations and nondimensionalized basal vertical velocity, inertial number, effective basal friction coefficient and equivalent friction coefficient of the flows.<br>S13_data_seismic deviation factor as functions of nondimensionalized normal stress fluctuations, inertial number, effective basal friction coefficient and equivalent friction coefficient</p> <p>S14_data_Comparison of effective basal friction coefficient μ_b and that scaled by the nondimensionalized basal vertical velocity.</p>
Data from: Passive sampling of environmental DNA in aquatic environments using 3D-printed hydroxyapatite samplers
<p>The study of environmental DNA released by aquatic organisms in their habitat offers a fast, non-invasive and sensitive approach to monitor their presence. Common eDNA sampling methods such as water filtration and DNA precipitation are time consuming, require difficult-to-handle equipment and partially integrate eDNA signals. To overcome these limitations, we created the first proof of concept of a passive, 3D-printed and easy-to-use eDNA sampler. We designed the samplers from hydroxyapatite (HAp samplers), a natural mineral with a high DNA adsorption capacity. The porous structure and shape of the samplers were designed to optimise DNA adsorption and facilitate their handling in the laboratory and in the field. Here we show that HAp samplers can efficiently collect genomic DNA in controlled set-ups, but can also collect animal eDNA under controlled and natural conditions with yields similar to conventional methods. However, we also observed large variations in the amount of DNA collected even under controlled conditions. A better understanding of the DNA-hydroxyapatite interactions on the surface of the samplers is now necessary to optimise the eDNA adsorption and to allow the development of a reliable, easy-to-use and reusable eDNA sampling tool.</p>
CAD file and chromatographic data for determination of diclofenac in wastewater using a 3D printed immunosorbent device
<p>CAD file of the 3D-printed device (in FreeCAD) and chromatographic data for determination of diclofenac in wastewater associated to Fig. S5 (in CSV) of the paper "A 3D printed spinning cup-shaped device for immunoaffinity solid-phase<br> extraction of diclofenac in wastewaters" published in Microchimica Acta 2022 (DOI:10.1007/s00604-022-05267-9.)</p>
Density driven flow in porous media by 3D print_measured data
<p>Density-driven convection in porous media constructed with 3D printed porous blocks were performed. This dataset is the measured total dissolved MEG and flux across the top interface.</p>
Resilient 3D-Printed Infrastructure with Engineered Cementitious Composites (ECC)
<p>Conventional construction of reinforced concrete structures is slow, labor-intensive, and expensive. 3D printing holds great potential to assist engineers and architects in constructing fast and economical yet complex representational infrastructures. One of the most significant barriers to the broader adoption of concrete 3D printing in civil infrastructure is the difficulty of providing printed structural components with reinforcement to achieve sound structural performance under different loading conditions. Hence, it is essential to design concrete that can be utilized as a rebar-free material by considering strength and ductility. Recently, the development of Engineered Cementitious Composites (ECC) has neared the possibility to achieve both strength and ductility in the concrete structures without embedding steel reinforcement. ECC has been offered to enhance the problem related to the ductility and low tensile strength of traditional concrete and Fiber Reinforced Composite (FRC). As such, the implementation of intrinsically reinforced cementitious materials has the potential to address this barrier in the reinforcement of 3D-printed concrete and yields significant benefits such as an enhanced structural capacity, durability, and resiliency. This project proposes the development of ECC materials utilizing readily available ingredients in Region 6 with rheological characteristics tailored specifically for 3D printing applications. Furthermore, the project aims to conduct a comprehensive evaluation of the hardened properties of 3D-printed ECC specimens, including mechanical tests.</p>
L-DED Printing of 316L Steel Cylinders
<p>Two videos showing building of 316L Steel Cylinders using L-DED process (BeAM Magic 2.0)</p>
Difference between finger prints of type 2 diabetics and healthy individuals
<p>This dataset provides the fingerprint patterns of type 2 diabetic and non-diabetic patients. Careful inclusion and exclusion criteria were used to select participants so that their fingerprints could be compared for research purposes.</p>
Finite-strain Visco-elastic Visco-plastic model identification of PA12 material printed along different directions
<p>The data provide the identification of PA12 bulk material for a finite-strain visco-elastic-visco-plastic (VE-VP) model printed along two directions.</p> <p>Tests were conducted in L. Cobian, M. Rueda-Ruiz, J.P. Fernandez-Blazquez, V. Martinez, F. Galvez, F. Karayagiz, T. Lück, J. Segurado, M.A. Monclus, Micromechanical characterization of the material response in a PA12-SLS fabricated lattice structure and its correlation with bulk behaviour, Polymer Testing 110 (2022) 107556: <a href="https://doi.org/10.1016/j.polymertesting.2022.107556">https://doi.org/10.1016/j.polymertesting.2022.107556</a> (in Open access), see also <a href="http://dx.doi.org/10.5281/zenodo.6136935">http://dx.doi.org/10.5281/zenodo.6136935</a> (in Open access)</p> <p>Material model follows V. D. Nguyen, F. Lani, T. Pardoen, X. Morelle, L. Noels, A large strain hyperelastic viscoelastic-viscoplastic-damage constitutive model based on a multi-mechanism non-local damage continuum for amorphous glassy polymers. International Journal of Solids and Structures 96 (2016): 192-216; <a href="https://dx.doi.org/10.1016/j.ijsolstr.2016.06.008">https://dx.doi.org/10.1016/j.ijsolstr.2016.06.008</a>, Open access: <a href="https://orbi.uliege.be/handle/2268/197898">https://orbi.uliege.be/handle/2268/197898</a>.</p> <p>The model</p> <ul> <li>Is implemented as a cross platform UMAT subroutine that is openly available on <a href="https://gitlab.uliege.be/moammm/moammmpublic/-/tree/master/code/MaterialModels/FiniteStrain/Finite_VEVP">https://gitlab.uliege.be/moammm/moammmpublic/-/tree/master/code/MaterialModels/FiniteStrain/Finite_VEVP</a> (Licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0) (<a href="https://creativecommons.org/licenses/by/4.0">https://creativecommons.org/licenses/by/4.0</a>).) and referenced on the project web-site <a href="https://www.moammm.eu/index.php/developed-code/">https://www.moammm.eu/index.php/developed-code/</a>.</li> <li>The model is also implemented at the cm3 laboratory, who provides efficient algorithms for homogenisation implemented in a parallel setting in the open source finite element code base on <a href="http://gmsh.info/">Gmsh</a>. In order to have access to the sources follows <a href="https://www.moammm.eu/index.php/developed-code/">https://www.moammm.eu/index.php/developed-code/</a>.</li> </ul> <p>If you use these data or model, we would be grateful if you could cite the related papers:</p> <ul> <li>L. Cobian, M. Rueda-Ruiz, J.P. Fernandez-Blazquez, V. Martinez, F. Galvez, F. Karayagiz, T. Lück, J. Segurado, M.A. Monclus, Micromechanical characterization of the material response in a PA12-SLS fabricated lattice structure and its correlation with bulk behaviour, Polymer Testing 110 (2022) 107556: https://doi.org/10.1016/j.polymertesting.2022.107556 (in Open access)</li> <li>Data of “. Cobian, M. Rueda-Ruiz, J.P. Fernandez-Blazquez, V. Martinez, F. Galvez, F. Karayagiz, T. Lück, J. Segurado, M.A. Monclus, Micromechanical characterization of the material response in a PA12-SLS fabricated lattice structure and its correlation with bulk behaviour, Polymer Testing 110 (2022) 107556” http://dx.doi.org/10.5281/zenodo.6136935 (in Open access)</li> <li>V. D. Nguyen, F. Lani, T. Pardoen, X. Morelle, L. Noels, A large strain hyperelastic viscoelastic-viscoplastic-damage constitutive model based on a multi-mechanism non-local damage continuum for amorphous glassy polymers. International Journal of Solids and Structures 96 (2016): 192-216; https://dx.doi.org/10.1016/j.ijsolstr.2016.06.008, Open access: https://orbi.uliege.be/handle/2268/197898</li> </ul> <p>This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 862015</p>
The dataset for an article - An Evaluation of 3D-Printed Materials' Structural Properties Using Active Infrared Thermography and Deep Neural Networks Trained on the Numerical Data
<p>Dataset used in the research presented in the article:</p> <p>Szymanik, Barbara. 2022. "An Evaluation of 3D-Printed Materials’ Structural Properties Using Active Infrared Thermography and Deep Neural Networks Trained on the Numerical Data" <em>Materials</em> 15, no. 10: 3727. https://doi.org/10.3390/ma15103727</p> <p>The database in the .mat (matlab) format contains arrays of double type related to: A - original thermograms obtained for the plate made with the 3D printing technique Ar - thermograms with ROI included FITorg - approximation of original thermograms ImDiff, ImInt, ImProp - data obtained after subtracting the approximation.</p>
Dataset for "Characterization of a modified printed optical particle spectrometer for high-frequency and high-precision laboratory and field measurements."
<p><strong>The folder includes scripts and data to create figures in the manuscript titled "Characterization of a modified printed optical particle spectrometer for high-frequency and high-precision laboratory and field measurements."</strong></p>
Data set for "1/f Noise Characterization of Bilayer MoS2 Field-Effect Transistors on Paper with Inkjet-Printed Contacts and hBN Dielectrics"
<p>Data set of the experimental results presented in the article "1/f Noise Characterization of Bilayer MoS2 Field-Effect Transistors on Paper with Inkjet-Printed Contacts and hBN Dielectrics" published in Advanced Electronics Materials.</p>
Data set for "Inkjet-printed low-dimensional materials-based complementary electronic circuits on paper"
<p>Data set of the experimental results presented in the article "Inkjet-printed low-dimensional materials-based complementary electronic circuits on paper" published in npj-2D Materials and applications.</p>
Data: set for "Low-voltage 2D materials-based printed field-effect transistors for integrated digital and analog electronics on paper"
<p>The file reports the raw data of Figure 2, Figure 3 and Figure 4 of the manuscript. Data shown in Figure 2 represent the electrical characterization of the MoS<sub>2</sub> FETs with inkjet-printed silver contacts. Figure 2a is a typical transfer characteristic measured as a function of the gate voltage for a drain voltage of 2.0 V; Figure 2b is a typical output characteristic measured at different gate voltages (from V<sub>GS</sub> = 0.0 V to V<sub>GS</sub> = 1.75 V, steps of 0.25 V). Figure 3 represents the electrical characterization of the MoS<sub>2</sub> FETs with inkjet-printed graphene contacts. In particular, a typical transfer characteristic curve measured as a function of the gate voltage for a drain voltage of 2.5 V is shown and a typical output characteristic curves measured at increasing gate voltages (from V<sub>GS</sub> = 0.0 V to V<sub>GS</sub> = 1.75 V, steps of 0.25 V) are reported in Figure 3b and Figure 3c, respectively. Logic gates and current mirror based on MoS2 FETs with inkjet-printed silver contact are presented in Figure 4. Figure 4c shows the output voltage (left axis) and the voltage gain (right axis) of the inverter gate as a function of the input voltage; Figure 4f the output voltage of the NAND gate as a function of the input states (V<sub>IN1</sub>, V<sub>IN2</sub>). Voltage bias is 5 V for both the inverter and the NAND gate; and Figure 4i g the output current of the current mirror as a function of the output voltage for two different values of the reference current.The file reports the raw data of Figure 2, Figure 3 and Figure 4 of the manuscript. Data shown in Figure 2 represent the electrical characterization of the MoS<sub>2</sub> FETs with inkjet-printed silver contacts. Figure 2a is a typical transfer characteristic measured as a function of the gate voltage for a drain voltage of 2.0 V; Figure 2b is a typical output characteristic measured at different gate voltages (from V<sub>GS</sub> = 0.0 V to V<sub>GS</sub> = 1.75 V, steps of 0.25 V). Figure 3 represents the electrical characterization of the MoS<sub>2</sub> FETs with inkjet-printed graphene contacts. In particular, a typical transfer characteristic curve measured as a function of the gate voltage for a drain voltage of 2.5 V is shown and a typical output characteristic curves measured at increasing gate voltages (from V<sub>GS</sub> = 0.0 V to V<sub>GS</sub> = 1.75 V, steps of 0.25 V) are reported in Figure 3b and Figure 3c, respectively. Logic gates and current mirror based on MoS2 FETs with inkjet-printed silver contact are presented in Figure 4. Figure 4c shows the output voltage (left axis) and the voltage gain (right axis) of the inverter gate as a function of the input voltage; Figure 4f the output voltage of the NAND gate as a function of the input states (V<sub>IN1</sub>, V<sub>IN2</sub>). Voltage bias is 5 V for both the inverter and the NAND gate; and Figure 4i g the output current of the current mirror as a function of the output voltage for two different values of the reference current.</p>
Fig. 2 in Theodor Kotschy in Iran, 1841-1843. Botanical collections and an early printed vegetation profile
Fig. 2. – Theodor Kotschy's botanical field book, 1840–1842.
Batalha Monastery #11 - 3D Print
Using @shahriyarshahrabi 's scan of the [Batalha Monastery](https://sketchfab.com/3d-models/monastery-of-batalha-76b0b60b24aa471c9d0cf719db236045), I 3D printed a cross-section of the Monastery to make this beautiful print. Nothing better than IRL light for lighting a model! Print specs - 34 hrs - Filament: Marble PLA, Matte Black PLA - Printer Ender 3 Pro 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.