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990 results for “quantification”
Sea lice (Lepeophtherius salmonis) detection and quantification around aquaculture installations using environmental DNA
<p>Here, we present supplementary material form our study<em> Sea lice (Lepeophtherius salmonis) detection and quantification around aquaculture installations using environmental DNA</em>. In our study, we developed and tested a new <em>L. salmonis</em> specific DNA-based assay (qPCR assay) for detection and quantification from seawater samples using an analytical pipeline compatible with the Environmental Sample Processor (ESP) for autonomous water sample analysis of gene targets.</p>
Dataset: Quantification of post-glacier bedrock surface erosion in the European Alps using 10Be and optically stimulated luminescence exposure dating
<p>This contains the dataset associated with the publication titled "Quantification of post-glacier bedrock surface erosion in the European Alps using 10Be and optically stimulated luminescence exposure dating" published in Earth Surface Dynamics (2022).</p>
Demo data and models for: Automated speech detection in eco-acoustic data enables privacy protection and human disturbance quantification
<p>Folder containing a <strong>demo dataset</strong> and the <strong>model weights</strong> resulting from the ecoVAD pipeline. The data contained in this folder allows for full reproducibility of the pipeline described on the <a href="https://github.com/NINAnor/ecoVAD">ecoVAD GitHub repository</a>.</p> <p>If you have any questions or issues with the dataset, please open an issue on the ecoVAD GitHub repository.</p>
Data set for the manuscript "Uncertainty quantification and physics-informed forecasting for improved urban flood modeling"
<p>This is a data set for the manuscript "Uncertainty quantification and physics-informed forecasting for improved urban flood modeling."</p>
Ion friction and quantification of the geomagnetic influence on gravity wave propagation and dissipation in the thermosphere-ionosphere
<p>Data supporting figures 2, 3 and 4 of the manuscript doi:10.1002/2017JA024785<br> </p> <p> </p>
MFMET webinar - 04. Leakage in Microfluidic Devices – detection and quantification
<p><span>This video is shows how leakage testing can be evaluated in microfluidic devices. <br></span></p> <p>The leakage tests include:</p> <ul> <li><span><span>·<span> </span></span></span>Visual inspection test</li> <li><span><span>·<span> </span></span></span>Pressure decay test </li> <li><span><span>·<span> </span></span></span>Flow rate measurement test</li> </ul> <p> </p> <p>Further readings can be found:</p> <p><a href="https://mfmet.eu/publications">https://mfmet.eu/publications</a></p> <p>• Deliverable 1 – Guidelines and a test protocol for flow control evaluating leakage and burst pressure in microfluidic devices. <a href="https://mfmet.eu/publications%20%20%20%20&bull; Deliverable%201%20&ndash;%20Guidelines%20and%20a%20test%20protocol%20for%20flow%20control%20evaluating%20leakage%20and%20burst%20pressure%20in%20microfluidic%20devices.%20Link%20%20%20&bull; A1.2.3%20Documented%20example%20of%20the%20test%20protocol%20for%20leakage%20and%20burst%20pressure.%20Link%20%20%20&bull; The%20MFA%20&%20MFMET%20&ndash;%20Protocols%20for%20leakage%20testing.%20Link%20%20%20&bull; Overcoming%20Technological%20Barriers%20in%20Microfluidics:%20Leakage%20Testing.%20Front.%20Bioeng.%20Biotechnol.%2010:%20958582 https://doi.org/10.3389/fbioe.2022.958582">Link</a></p> <p>• A1.2.3 Documented example of the test protocol for leakage and burst pressure. <a href="https://mfmet.eu/publications%20%20%20%20&bull; Deliverable%201%20&ndash;%20Guidelines%20and%20a%20test%20protocol%20for%20flow%20control%20evaluating%20leakage%20and%20burst%20pressure%20in%20microfluidic%20devices.%20Link%20%20%20&bull; A1.2.3%20Documented%20example%20of%20the%20test%20protocol%20for%20leakage%20and%20burst%20pressure.%20Link%20%20%20&bull; The%20MFA%20&%20MFMET%20&ndash;%20Protocols%20for%20leakage%20testing.%20Link%20%20%20&bull; Overcoming%20Technological%20Barriers%20in%20Microfluidics:%20Leakage%20Testing.%20Front.%20Bioeng.%20Biotechnol.%2010:%20958582 https://doi.org/10.3389/fbioe.2022.958582">Link</a></p> <p>• The MFA & MFMET – Protocols for leakage testing. <a href="https://mfmet.eu/publications%20%20%20%20&bull; Deliverable%201%20&ndash;%20Guidelines%20and%20a%20test%20protocol%20for%20flow%20control%20evaluating%20leakage%20and%20burst%20pressure%20in%20microfluidic%20devices.%20Link%20%20%20&bull; A1.2.3%20Documented%20example%20of%20the%20test%20protocol%20for%20leakage%20and%20burst%20pressure.%20Link%20%20%20&bull; The%20MFA%20&%20MFMET%20&ndash;%20Protocols%20for%20leakage%20testing.%20Link%20%20%20&bull; Overcoming%20Technological%20Barriers%20in%20Microfluidics:%20Leakage%20Testing.%20Front.%20Bioeng.%20Biotechnol.%2010:%20958582 https://doi.org/10.3389/fbioe.2022.958582">Link</a></p> <p>• Overcoming Technological Barriers in Microfluidics: Leakage Testing. Front. Bioeng. Biotechnol. 10: 958582 <a href="https://doi.org/10.3389/fbioe.2022.958582">https://doi.org/10.3389/fbioe.2022.958582</a> </p> <p>The project (20NRM02 MFMET) have received funding from the EMPIR programme co-financed by the Participating States and from the European Union’s Horizon 2020 research and innovation programme.</p>
Implication of polymerase recycling for nascent transcript quantification by live cell imaging
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Predictive Modeling of Bearing Degradation: LSTM Neural Networks for Uncertainty Quantification
<p>These MATLAB codes are part of a research project focused on predicting bearing degradation through vibration measurements. The codes implement LSTM (Long Short-Term Memory) neural network models trained under different objectives, including uncertainty quantification and RMSE (Root Mean Square Error) minimization. The objective of the research is to compare the performance of these models in predicting bearing health and assessing the associated uncertainty.</p> <p><strong>Note:</strong> The current codes are under embargo access as the corresponding paper has been submitted to the ESCA 11 conference. The codes will be made openly accessible upon acceptance of the paper and during the presentation dates. Please cite our paper when using these codes.</p>
Quantification of cell cycle re-entry during dedifferentiation of primary adipocytes in vitro
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Snakemake report for manuscript "Orthanq: transparent and uncertainty-aware haplotype quantification with application in HLA-typing"
<p>For viewing the report, unzip the file and open index.html in your browser.</p>
The supporting data and code for research "Quantification of Entanglement and Coherence with Purity Detection"
<p>The supporting data and code for research "Quantification of Entanglement and Coherence with Purity Detection"</p>
Bayesian Uncertainty Quantification and Optimization of Jet Grout Column Diameter Prediction
<p><span>This dataset includes the jet grout data compiled from published case histories for Bayesian Uncertainty Quantification and Optimization of Jet Grout Column Diameter Prediction.</span></p>
Datasets for 'Satellite-based quantification of nitrogen dioxide effects on vegetation productivity in China'
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Quantification of CO2 hotspot emissions from OCO-3 SAM CO2 satellite images using deep learning methods - data and weights
<p>Release for "Quantification of CO2 hotspot emissions from OCO-3 SAM CO2 satellite images using deep learning methods", submitted to "Atmospheric Chemistry and Physics<br><br>- Train, validation and test dataset for Lippendorf, Boxberg, and Turow CNN applications.<br>- Test dataset for OCO3 SAM application.<br>- Weights and architecture of the trained CNN.</p>
Quantification of E-cadherin Expression in H1299 NSD3 Knockdown Cells
<p><strong>SGC Open Notebook Project to Characterize the HMTase NSD3</strong></p> <p><strong>Exp023 Objective: </strong>Having observed downregulation of E-cadherin protein levels in response to NSD3 overexpression in H1299 cells (exp021), I was next interested in testing the consequences of NSD3 knockdown. To do so, I transfected H1299 cells with siRNA targeting NSD3, both short and long isoforms, and assayed E-cadherin expression by western blotting. </p>
Simulated quantification files for "Swimming downstream" workflow
<p>Simulated quantification files for "Swimming downstream" workflow</p>
Rapid T1 quantification from high resolution 3D data with model-based reconstruction
<p>In-vivo datasets used in the work "Rapid T1 quantification from high resolution 3D data with model-based reconstruction" with DOI: 10.1002/mrm.27502<br> </p>
Data Tables and figures for "Quantification of 3D thermal anomalies from surface observations of an orogenic geothermal system (Grimsel Pass, Swiss Alps)"
<p>Tables and figures containing the data used in the manuscript called</p> <p><strong>"Quantification of 3D thermal anomalies from surface observations of an orogenic geothermal system (Grimsel Pass, Swiss Alps)", </strong></p> <p>which was submitted to JGR:Solid Earth</p>
Analysis and quantification of ENSO linked changes in the tropical Atlantic cloud vertical distribution using 14 years of MODIS observations
<p>Time series of monthly means and anomolies of the cloud vertical distribution and other parameters used in this study.</p>
Data for the "Systems NMR: simultaneous quantification of RNA, protein, and metabolite reaction dynamics for biomolecular network analysis."
<p>This dataset contains raw NMR data used in the publication.</p> <p>Detailed protocol for the presented NMR setup and analysis is included in the publication, and at https://github.com/systemsnmr/ivtnmr.</p> <p>v0.2 includes the integr_results_31P_pure_PO4.txt files - phosphate-spectra integration files which were missing in v0.1 submission.</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.