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7,195 results for “SET”
Agile Practices Set _ Repo
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Data_Set_JCE_PIARDMOYON_2025
<p>Data set</p> <p>1- Raw Data in French and English</p> <p>2 and 3 - Treated date</p> <p>4- ggPlot</p>
Coupling a large-scale glacier and hydrological model (OGGM v1.5.3 and CWatM V1.08) - Data Set
<p>GENERAL INFORMATION</p> <p>The data and scripts used for the analysis of the paper "Coupling a large-scale glacier and hydrological model (OGGM v1.5.3 and CWatM V1.08) – Towards an improved representation of mountain water resources in global assessments"</p> <p><strong>When using this dataset, please refer to the original publication in addition to this Zenodo repository.</strong></p> <p><strong>Hanus, S., Schuster, L., Burek, P., Maussion, F., Wada, Y., and Viviroli, D.: Coupling a large-scale glacier and hydrological model (OGGM v1.5.3 and CWatM V1.08) – towards an improved representation of mountain water resources in global assessments, Geosci. Model Dev., 17, 5123–5144, https://doi.org/10.5194/gmd-17-5123-2024, 2024.</strong></p> <p>DATA & FILE OVERVIEW</p> <p>please have a look at readme.txt </p> <p>Don't hesitate to contact us in case of any questions (sarah.hanus@geo.uzh.ch)</p>
Multi-Gate FD-SOI Single Electron Transistor for hybrid SET-MOSFET quantum computing
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Processed files for CrossDock test set
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Data Companion Set - Bachelor's Thesis - Gabriel Gehrig
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SEQC2 CNV raw call sets
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IASCAR: Incremental Answer Set Counting by Anytime Refinement (Experiments)
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Data Sets "Light-Induced Spiking in Proteinoids Yields Boolean Gates"
<p>The CSV files comprise the data upon which the figures in the published manuscript are based. The recorded electrical potentials (mV) in seconds (sec) for various experimental conditions on the proteinoids samples are detailed in each individual file. The timestamps enable the reconstruction of temporal dynamics, whereas the potential levels characterise the form and amplitude of the electrical responses exhibited by the proteinoids in response to different light stimuli. In the end, these measurements facilitated the implementation of logic operations that determined the behaviours of the Boolean gates.</p><p> </p>
Data set for "A large-scale integrated vector–matrix multiplication processor based on monolayer molybdenum disulfide memories"
<p>Data accompanying the paper "A large-scale integrated vector–matrix multiplication processor based on monolayer molybdenum disulfide memories" </p>
MUSDB18-HQ Test Set Inference Outputs for Models from "A Generalized Bandsplit Neural Network for Cinematic Audio Source Separation"
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beer foam height as a function of time curves and data sets
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Table S2: Gene set enrichment analysis and KEGG
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Data Set for Predicting the Performance of ATL Model Transformations Based on Generated Models
<p>Predicting the execution time of model transformations can help to understand how a transformation reacts to a given input model without creating and transforming the respective model.</p> <p>In our previous data set (https://doi.org/10.5281/zenodo.8385957), we have documented our experiments in which we predict the performance of ATL transformations using predictive models obtained from training linear regression, random forest and support vector regression. As input for the prediction, our approach uses a characterization of the input model. In these experiments, we only used data from real models.</p> <p>However, a common problem is that transformation developers do not have enough models available to use such a prediction approach. Therefore, in a new variant of our experiments, we investigated whether the three considered machine learning approaches can predict the performance of transformations if we use data from generated models for training. We also investigated whether it is possible to achieve good predictions with smaller training data. The dataset provided here offers the corresponding raw data, scripts, and results.</p> <p>A detailed documentation is available in documentaion.pdf.</p>
Data set for "Tracking the nearfield evolution of an initially shallow, neutrally-buoyant plane jet over a sloping bottom boundary"
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MRI data set for "Characterization of shear zones in soft granular beds by means of a novel magnetic resonance imaging technique"
<p>We introduce a new Magnetic Resonance Imaging technique to study the geometry of shear zones of soft, low-frictional and hard, frictional granular materials and their mixtures. Hydrogel spheres serve as the soft, low-frictional material component, while mustard seeds represent rigid, frictional grains. Some of the hydrogel spheres are doped with CuSO4 salt to serve as tracers. A cylindrical split-bottom cell is sheared stepwise and the shear profiles are determined from the differences of tomograms after successive shear steps, using Particle Imaging Velocimetry and Particle Tracking Velocimetry. We find that the shear zone geometry differs considerably between soft grains submersed in water and the same material without the embedding fluid.</p>
data set
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NGII Data Set for Black Ice Traffic Accident Prediction
<p>NGII Data Set for Black Ice Traffic Accident Prediction</p> <p> </p> <p> </p>
IF and SCRINSHOT image data of probe set selection for targeted spatial transcriptomics
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Data set for Iraqi Pharmacovigilance Center in 2020
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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.