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.
33,754
datasets available to search
ShareScore release 0.9.0
Dataset results
33,754 results for “Enhancers”
Alternative plasmonic materials for fluorescence enhancement
<p>Dielectric functions for metals and semiconductors, as taken from the literature. We used these datasets for studying plasmonic fluorescence enhancement resulting from the coupling of a molecule with a spherical nanoparticle, out of each one of these materials. We have gathered them all in this repository so they will be easily accesible. </p>
Dataset for paper "Fs-laser significantly enhances both above- and below-bandgap absorption in germanium"
<p>This dataset collection accompanies the paper titled <em>“Fs-laser significantly enhances both above- and below-bandgap absorption in germanium”</em>, published in <em>Optical Materials Express</em>. The experimental and computational methods used to generate these datasets are detailed in the original publication.</p> <p>The datasets include the values needed to recreate Figures 1b, 1c, 2b, 2c, 3a, 3b, 4c, and 4d, as well as raw Raman spectroscopy results used to compute Table 1. Each file is named according to the corresponding figure caption for easy identification, with headers distinguishing individual datasets.</p> <p>The file <em>SEM.zip</em> contains all raw SEM images for Figures 1a, 2a, and 4a. The images are named based on their figure captions and order of appearance in the paper.</p> <p>This content is licensed under CC BY 4.0. If using these datasets or figures, please ensure proper citation of the original paper: <strong>Liu, X., Gnatyuk, D., Halmela, J., Vähänissi, V., & Savin, H. (2024). Fs-laser significantly enhances both above- and below-bandgap absorption in germanium. <em>Optical Materials Express</em>, <em>15</em>(2). https://doi.org/10.1364/OME.545692</strong></p>
Enhanced degradability of thiol-ene composites through the inclusion of isosorbide-based polycarbonates
<p><span>Open reduction internal fixation (ORIF) metal plates and screws remain the established standard-of-care for complex fracture fixation. They however have drawbacks such as limited customization, soft-tissue adhesions and a lack of degradation. Bone cements and composites are being developed as alternative fixation techniques in order to overcome these issues. One such composite is a strong, stiff and shapeable hydroxyapatite-containing material consisting of 1,3,5-triazine-2,4,6-trione (TATO) monomers which cures through high energy visible (HEV) light induced thiol-ene coupling (TEC) chemistry. Previous human cadaver and <em>in vivo</em> studies have shown that patches of this composite provide sufficient fixation for healing bone fractures; however, the composite lacks degradability. To promote degradation through hydrolysis, new allyl-functionalized isosorbide-based polycarbonates have been added into the composite formulation and their impact has been evaluated. Three polycarbonates with allyl functionalities, located at termini (aPC1 and aPC2) or in the backbone (aPC3), were synthesized. Composites containing 1, 3 and 5 wt% of aPCs 1-3 were formulated and evaluated with regards to mechanical properties, water absorption, hydrolytic degradation and cytotoxicity. Allyl-functionalized polycaprolactone (aPCL) was synthesized and used as a comparison. When integrated into the composite, aPC3 significantly impacted the material’s properties, with the 5wt% aPC3 formulation showing a significant increase in degradation of 469 %, relative to the formulation not containing any aPCs after 8 weeks’ immersion in PBS, along with a modest decrease in modulus of 28 % to 4.01 (0.3) GPa. Osteosyntheses combining the aPC3 3 and 5 wt% formulations with screws on synthetic bones with ostectomies matched or outperformed the ones made with previously studied neat composite with regards to bending stiffness and strength in 4-point monotonic bending before and after immersion in PBS. The favorable mechanical properties, increased degradation, and non-toxic characteristics of the materials present aPC3 as a promising additive for the TATO composite formulations. This combination resulted in stiff composites with long-term degradation suitable for bone fracture repair. </span></p>
Data-driven model enhancement of late-life lithium-ion batteries
<p>Suplement dataset for the paper "Data-driven model enhancement of late-life lithium-ion batteries"</p>
Usability Testing Data for Web Application Prototype: Enhancing Efficiency and Transparency in Ghana's Rental Housing Market
<p><span>The dataset includes both quantitative and qualitative responses from participants who tested the web application prototype designed to enhance decision-making in Ghana's rental housing market. The testing focused on evaluating the user interface, ease of use, satisfaction levels, and the effectiveness of key functionalities.</span></p>
IAO Data: Turbulent Enhancement Ratio and Flux Ratio
<p>This dataset comprises measurements from the Innsbruck Atmospheric Observatory (IAO) spanning from mid-2018 to early 2022. It includes flux data for CO2 and NOx, QA/QC flags, Turbulent Enhancement Ratios (NOx/CO2), VMR for CO2 and NOx, as well as various meteorological parameters utilized in different publications.</p> <p>The dataset is processed in Matlab R2023a and is a structured mat-file containing the following fields:</p> <table> <tbody> <tr> <td> <p>> EC > CO2<br>> EC > NOx<br>> EC > flag<br>> MET > dd<br>> MET > ff<br>> MET > Tair<br>> MET > p<br>> TER > NOx_CO2<br>> TER > flag<br>> time</p> </td> <td> <p>CO2 flux [umol/m2s]<br>NOx flux [nmol/m2s]<br>QA/QC flag<br>wind direction [°]<br>wind speed [m/s]<br>air temperature [K]<br>pressure [mbar]<br>Turbulent Enhancement Ratio NOx over CO2 [nmol/umol]<br>QA/QC flag<br>time in matlab format (datenum) [UTC]</p> </td> </tr> </tbody> </table> <p>Additionally, the dataset includes fields for contact information, headers, and metadata. Each data point is calculated at a 30-minute interval.</p>
Dataset related to the Journal Article 'Efficiency Enhancement of Marine Propellers via Reformation of Blade Tip-Rake Distribution'
<p>This Dataset contains results related to the Graphs shown in the publication titled "Efficiency Enhancement of Marine Propellers via Reformation of Blade Tip-Rake Distribution". The results refer to open water performance curves for the benchmark propeller geometries and the models with optimal tip-rake. In the Folder we provide the data for each figure in a specific folder with the number corresponding to the number of the figure in the published version of the paper. </p>
Dataset related to publication: Nanoporous Film Layers to Enhance the Performance of Passive Radiative Cooling Paint Mixtures
<p>Dataset related to the publication:</p> <p><em>Giuseppe Emanuele Lio,</em><em> Sara Levorin</em><em>, Atakan Erdoğan</em><em>, Jérémy Werlé</em><em>, Alain J. Corso</em><em>, Luca </em><em>Schenato</em><em>, Diederik S. Wiersma</em><em>, Marco Santagiustina</em><em>, Lorenzo Pattelli</em><em>, Maria Guglielmina Pelizzo. </em><em>Nanoporous Film Layers to Enhance the Performance of Passive Radiative Cooling Paint Mixtures, accepted and in publishing on International Journal of Thermophysics. </em>DOI: 10.1007/s10765-024-03439-8</p> <p>The repository contains the temperature, relative humidity, irradiance, sky temperature and net cooling power measurements in the file named "DATA_IJT_Nanoporous_Film_ Layer.txt" and the python script (Data_analizer.py) to analyze them as done in the paper.</p> <p> </p> <p>The repository also contain the Matlab workspace (IJT_data.mat)and code (Data_R_ATR_analyzer)to evaluate all the sample reflectance and FTIR measurements. Moreover, the extra measurements performed on the Celgard thin film are available in the workspace "Celgard_UV_VIS_NIR_T.mat" and "R_Celgard.mat". Moreover in Version 2 all the used data for Reflectance and Transmittance are also available in "txt" format for a simple and fast usage. </p> <p> </p> <h2>Notes (English)</h2> <div> <table> <tbody> <tr> <td> <p>This work was partly supported by</p> <ul> <li>European Project 21GRD03 PaRaMetriC, which received funding from the European Partnership on Metrology, co-financed by the European Union's Horizon Europe Research and Innovation Programme, and from the Participating States.</li> <li>European Union - PON Research and Innovation 2014-2020 in accordance with Article 24, paragraph 3a), of Law No. 240 of December 30, 2010, as amended, and Ministerial Decree No. 1062 of August 10, 2021</li> </ul> </td> </tr> </tbody> </table> </div>
Enhanced Catalytic Performance of a Single-Atom Cu on Mo2C toward the CO2/CO Hydrogenation to Methanol: A First-Principles Study_dataset
<p>Dataset of inputs and outputs concerning mechanisms, bader charge analysis, frequency analysis and model used in the study namely: Enhanced Catalytic Performance of a Single-Atom Cu on Mo2C toward the CO2/CO Hydrogenation to Methanol: A First-Principles Study published on <em>Cat. Sci. Technol. </em>(DOI: 10.1039/d4cy00703d).</p>
C2SMARTER Year 1 Project "Enhancing Transit Access and Safety Through Equitable Micromobility Solution"
<p>These 6 PDF files are the maps produced from Task 1 of the C2SMARTER Year 1 project Enhancing Transit Access and Safety Through Equitable Micromobility Solution.</p> <p>Site A and Site B are transit underserved areas (census tracts in El Paso, Texas) identified in Task 1 of this project.</p> <p>The first 2 maps shows the underserved areas overlaid with bus stops (taken from the General Transit Feed Specification or GTFS database).</p> <p>The next 2 maps shows the underserved areas overlaid with locations of crashes involving pedestrians and bicycles from 1/1/2024 to 7/30/2024..</p> <p>The last 2 maps color coded the streets in Site A and Site B with bicycle level of traffic stress (LTS).</p>
Dataset for chirality-enhanced optical solitons in planar unwound cholesteric cells
<p>This dataset includes all the XML VTK files (*.vti) of simulated optical solitons in unwound planar cholesteric cells as described in [G. Poy & S. Zumer, "Chirality-enhanced nonlinear optical response of frustrated liquid crystals", Proceedings of conference SPIE Optics+Photonics, Liquid Crystals XXV, 2021]. It also includes the postprocessing scripts that were used to generate the figures of the aforementioned paper, which correspond to the 00_*, 01_* and 02_* files. *.nb files were run without any problem with Mathematica 12.2.0.0. The *.py file can be run with a recent version of python3 with numpy and matplotlib installed. As for the *.vti raw data files, they can be visualized with the open-source software Paraview.</p> <p> </p>
Quantifying the Tissue-Specific Regulatory Information within Enhancer DNA Sequences
<p>Tables of mouse embryonic differential enhancers and promoters.</p> <p>The tables list the genomic coordinates of differential regulatory elements, the tissues in which they are active (labels column), a differential score, and the DNA sequence of the element. Tissues are numbered from 0 to 7, which correspond to heart, kidney, liver, limb, lung, forebrain, midbrain, and hindbrain, respectively. The tool <a href="https://github.com/pbenner/gonetics/tree/master/tools/segmentationDifferential">segmentationDifferential</a> from the <em>gonetics library</em> was used to compute differential elements. The length of all regions was set to 1000 base pairs around the center. Specifics of the experimental data can be found in the referenced publication.</p>
DIPS-Plus: The Enhanced Database of Interacting Protein Structures for Interface Prediction
<p>This dataset contains replication data for the paper titled "DIPS-Plus: The Enhanced Database of Interacting Protein Structures for Interface Prediction". The dataset consists of pickled Pandas DataFrame files, along with training, validation, and (for DB5-Plus) test filename lists for cross-validation, that can be used to develop and evaluate protein interface prediction models. This dataset also contains the externally generated residue-level PSAIA and HH-suite3 features for users' convenience (e.g. raw MSAs and profile HMMs for each protein complex). Our GitHub repository linked in the "Additional notes" metadata section below provides more details on how we parsed through these files to create our cross-validation datasets. The GitHub repository for DIPS-Plus also includes scripts that can be used to impute missing feature values and convert the final "raw" complexes into DGL-compatible graph objects. Since our final DGL graph representation for each complex uses PyTorch tensors in its construction of residue embeddings, the final representation of each complex can easily be adapted to fit the users' needs (e.g. feeding a complex's 2D residue feature tensors into a convolutional neural network).</p>
Resolution Enhancement of UWB Time-Reversal Microwave Imaging in Dispersive Environments (dataset)
<p>These files are the simulation data used to create the figures illustrated in the journal paper with the same title which has been accepted for publication as a regular paper in IEEE Transactions on Computational Imaging. Each filename indicates the figure number associated with the file. These files are text files. The column structure of each file is described in the README file.</p>
Improving the Efficiency of Variationally Enhanced Sampling with Wavelet-Based Bias Potentials
<p>Archive with data supporting the paper "Improving the Efficiency of Variationally Enhanced Sampling with Wavelet-Based Bias Potentials" and the related PhD thesis by B. Pampel</p>
Enhanced 3D radiative transfer ACM-RT calculations and output for Cole et al., 2022
<p>For the Earth Cloud, Aerosol, Radiation Explorer (EarthCARE) satellite mission there are a number of algorithms used to process the observations. One of these algorithms, called ACM-RT, is designed to use retrieved geophysical properties to perform forward radiative transfer calculations using 1D and 3D solar and thermal radiative transfer models. The ACM-RT algorithm is documented in an Atmospheric Measurements and Techniques (AMT) article. </p> <p>To illustrate outputs from ACM-RT, including the benefits of 3D radiative transfer, “enhanced” radiative transfer calculations were performed, relative to calculations that would be performed operationally during the EarthCARE mission. In particular, the 3D Monte Carlo radiative transfer calculations used an increased number of samples to reduce the Monte Carlo uncertainty and calculations were performed for more of the input data.</p> <p>The relevant publication for these calculations is:</p> <p>Cole, J. N. S., H. W. Barker, Z. Qu, N. Villefranque and M. W. Shephard : Broadband Radiative Quantities for the EarthCARE Mission: The ACM-COM and ACM-RT Products. Submitted to AMT, November 2022.</p>
eSIF product: enhanced SIF by combining TROPOSIF, MODIS reflectance and ERA-5 shorwave radiation
<p>The eSIF product is generaged by combining SIF and NIRvP data from different data sources. The original SIF data (TROPOSIF v2.1 L2B) are from the TROPOMI instrument onboard the Sentinel-5P mission, whereas NIRvP data are obtained from MODIS spectral reflectance and ERA5 reanalysis data. The resulting eSIF product has a spatial resolution of 0.05° and a temporal resolution of 8 days.</p> <p>For details, please refer to:</p> <p>Liu, X., Liu, L., Bacour, C., Guanter, L., Chen, J., Ma, Y., Chen, R., & Du, S. (2023). A simple approach to enhance the TROPOMI solar-induced chlorophyll fluorescence product by combining with canopy reflected radiation at near-infrared band. <em>Remote Sensing of Environment, 284</em>, 113341, <a href="http://doi.org/10.1016/j.rse.2022.113341">http://doi.org/10.1016/j.rse.2022.113341</a></p>
Volumetric imaging of cellular dynamics with deep learning enhanced bioluminescence microscopy
<p>The low photon emission of known luciferases, currently limit their widespread use as contrast agents in live cell microscopy because they demand long exposure times that are prohibitive for imaging fast biological dynamics. To increase the versatility of bioluminescence microscopy as an alternative for fluorescence microscopy, we present an improved low-light microscope in combination with deep learning methods to image extremely photon-starved samples enabling subsecond exposures for timelapse and volumetric imaging. Here, we leverage a versatile training data set for deep learning based bioluminescence microscopy including paired images of noisy and ground thruth fluorescence data of body wall muscle labeled <em>Caenorhabditis elegans</em> animals. These data include light-field images and their ground truth reconstructions for training a CNN for fast light fiel deconvolution.</p>
Using Hydroclimate Modeling and Social Science to Enhance Flood Resilience on Lake Ontario through the Climate Smart Communities Program
<p>This repository contains several data products associated with the New York Sea Grant project R/CHD-15 entitled <em>Using Hydroclimate Modeling and Social Science to Enhance Flood Resilience on Lake Ontario through the Climate Smart Communities Program.</em><strong><em> </em></strong>These products include:</p> <p>1. Estimates of the 25-year, 50-year, and 100-year flood across the New York coastline of Lake Ontario. These design events (reported in feet) are for still water levels that take into account both average water levels across the lake as well as local variations in water level due to storm surge. Wave setup and wave run-up are not considered in these design events. The design events incorporate the effects of water level regulation and the potential impacts of climate change on water supplies to Lake Ontario, and they are tailored for 79 unique locations along the shoreline (identified based on longitude and latitude). These flood levels are presented in an online flood risk assessment tool at: https://kts48.users.earthengine.app/view/lake-ontario-water-level-scenarios</p> <p>2. Protocols and summary of results for a series of focus groups and structured telephone interviews with local officials from communities along the Lake Ontario shoreline to assess barriers to participation in the New York State Climate Smart Communities Program.</p> <p>3. A Crosswalk between activities and administrative requirements of the New York State Climate Smart Communities Program and other federal and state flood resiliency programs. </p> <p>4. A final report summarizing the products above. </p>
BinauRec: A dataset to test the influence of the use of room impulse responses on binaural speech enhancement
<p>BinauRec is a dataset for binaural speech enhancement. It is composed of real recordings, measured and simulated room impulse responses for the same audio scenes. Measurements are realized using behind-the-ears hearing aid shells, with and without a dummy head.</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.