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Dataset results
358 results for “dataset generation”
Dataset for Generative Model of Software Dependency Graphs
<p>Data set for the paper entitled "A Generative Model of Software Dependency Graphs to Better Understand Software Evolution".</p> <p>Available files are:</p> <ul> <li>Sources archives (102 MB),</li> <li>Extracted dependencies (3.5 MB) and</li> <li>Generated graphs (15 MB).</li> </ul>
Phasor Dataset generated at NEST (Scuola Normale Superiore)
<p>The folder contains sub-folders used in the work "Phasor Identifier: A Cloud-based Analysis of Phasor-FLIM Data on Python Notebooks" by M.Bernardi and F.Cardarelli. The data served for specific examples on Phasor-FLIM customary analysis within the framework of the Python Notebook ran in Google Colab, extensively documented and available at: <a href="https://github.com/Mariochem92/PhasorIdentifier">https://github.com/Mariochem92/PhasorIdentifier</a></p><p> </p><p> </p><p><strong>Irinotecan and its metabolite SN-38 in solution at different pH</strong></p><p><strong>File format: </strong>.R64</p><p><strong>FLIM Acquisition:</strong> DFD-FLIM </p><p><strong>Laser repetition frequency:</strong> 80 MHz</p><p><strong>Instrumentation: </strong>Olympus FVMPE-RS with FLIM box system (ISS, Urbana Champaign)</p><p>Can be used to test any functionality in the analysis of evolutions within the phasor plot. Specially designed for pH analysis within the pH range of 2 to 12.<br><strong>Reference: </strong>Bernardi et al., A Cloud-based Analysis of Phasor-FLIM Data on Python Notebooks, 2023</p><p> </p><p><strong>Encapsulated irinotecan in commercial liposomal nanoformulation Onivyde </strong></p><p><strong>File format: </strong>.R64</p><p><strong>FLIM Acquisition:</strong> DFD-FLIM </p><p><strong>Laser repetition frequency:</strong> 80 MHz</p><p><strong>Instrumentation: </strong>Olympus FVMPE-RS with FLIM box system (ISS, Urbana Champaign)</p><p>Can be used to test any functionality in the analysis of the supramolecular organization. </p><p><strong>Reference: </strong>Bernardi et al., Fluorescence Lifetime Nanoscopy of Liposomal Irinotecan Onivyde: From Manufacturing to Intracellular Processing, ACS Appl. Bio Mater., 2023</p><p> </p><p><strong>INS1-E cells upon cytokine treatment</strong></p><p><strong>File format: </strong>.R64</p><p><strong>FLIM Acquisition:</strong> DFD-FLIM </p><p><strong>Laser repetition frequency:</strong> 80 MHz</p><p><strong>Instrumentation: </strong>Olympus FVMPE-RS with FLIM box system (ISS, Urbana Champaign)</p><p>INS1E control and INS1E cytokines, can be used to test any functionality in the analysis of the supramolecular organization. <br><strong>Reference: </strong>Pugliese et al, Unveiling nanoscale optical signatures of cytokine-induced β-cell dysfunction, Sci Rep, 2023</p><p> </p><p><strong>Encapsulated doxorubicin </strong></p><p><strong>File format: </strong>.ref</p><p><strong>FLIM Acquisition:</strong> TD-FLIM </p><p><strong>Laser repetition frequency:</strong> 40 MHz</p><p><strong>Instrumentation: </strong>Leica TCS SP5 confocal microscope</p><p>Can be used to test any functionality in the analysis of the supramolecular organization and signal evolution. Specially designed for storage analysis at temperature 4°C, 25°C and 37°C.<br><strong>Reference: </strong>Carretta et al, Monitoring drug stability by label-free fluorescence lifetime imaging: a case study on liposomal doxorubicin. ,J. Phys. : Conf Ser, 2023</p><p> </p><p> </p>
Dataset for paper "All-Optical Generation and Time-Resolved Polarimetry of Magnetoacoustic Resonances via Transient Grating Spectroscopy" by Carrara P. et al.
<p>This dataset complements the publication "All-Optical Generation and Time-Resolved Polarimetry of Magnetoacoustic Resonances via Transient Grating Spectroscopy" by Carrara P. et al.</p><p>The data hierarchy is explained in the file "Readme.docx", which also reports relevant metadata.</p>
Dataset for the paper "Parameter study and optimization of floating wind-wave co-generation system based on the Taguchi method"
<p>The Dataset is the result files for the paper "Parameter study and optimization of floating wind-wave co-generation system based on the Taguchi method"</p>
The Available dataset of paper - A Holistic Approach to Automatic Mixed-Precision Code Generation and Tuning for Affine Programs
<p>Here are all publicly available datasets for the paper: A Holistic Approach to Automatic Mixed-Precision Code Generation and Tuning for Affine Programs.</p>
Datasets generated for the manuscript: The basement membrane regulates the cellular localization and the cytoplasmic interactome of Yes-Associated Protein (YAP) in mammary epithelial cells
<p><strong>File proteinGroups-CoIP-Yap1:</strong> Dataset of co-Immunoprecipitation followed of Yes-associated protein (YAP) followed by proteomics to identify YAP interactants.</p> <p><strong>File Gene_set_file_YAP: </strong>Gene sets used for gene set enrichment analysis.</p> <p><strong>Files enrichr_x: </strong>output of the EnrichR tool</p>
Limitations of Human Identification of Automatically Generated Text: Dataset
<p>This repository contains the data for the paper:</p> <p><span>Nadège Alavoine, Maximin Coavoux, Emmanuelle Esperança-Rodier, Romane Gallienne, Carlos-Emiliano González-Gallardo, Jérôme Goulian, Jose G. Moreno, Aurélie Névéol, Didier Schwab, Vincent Segonne, and Johanna Simoens. 2024. <a href="https://aclanthology.org/2024.lrec-main.919">Limitations of Human Identification of Automatically Generated Text</a>. In <em>Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)</em>, pages 10511–10516, Torino, Italia. ELRA and ICCL.</span></p>
Fig. 5. Dendrogram generated from PATN analysis using Gower association measure and baseline dataset comprising 24 samples and 161 in Simonachne, a new genus for Australia segregated from Ancistrachne s.l. (Poaceae: Panicoideae: Paniceae) and a new subtribe Cleistochloinae
Fig. 5. Dendrogram generated from PATN analysis using Gower association measure and baseline dataset comprising 24 samples and 161 morphological characters. Three main clusters were resolved, viz. subtribes Cleistochloinae and subtribe Neurachninae sensu Clayton and Renvoize (1986) and 'paniculate inflorescence group' and 'paniculate inflorescence group'. Classification strategy set at flexible UPGMA agglomerative hierarchical fusion technique with Beta = −0.10. Size of symbols and letters indicates depth of field.
Unprocessed PROSAIL-generated datasets of plant functional traits with associated spectra
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Raw datasets and code generation for the strength prediction of TBC incorporating CCA and GOS
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Raw datasets for mechnaical results and code generation for modelling the strength characteristics of TBC incorporating VPA and CP
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Raw strength datasets and code generation for predicting the strengths of TBC modified with SNA and OSP
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Raw datasets and code generation for strength prediction of BCC incorporating CP and CCA
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Ascorbic acid supports ex vivo generation of plasmacytoid dendritic cells from circulating hematopoietic stem cells: RNA-seq dataset
<p>Plasmacytoid dendritic cells (pDCs) constitute a rare type of immune cell with multifaceted functions, but their potential use as a cell-based immunotherapy is challenged by the scarce cell numbers that can be extracted from blood. Here, we systematically investigate culture parameters for generating pDCs from hematopoietic stem and progenitor cells (HSPCs). Using optimized conditions combined with implementation of HSPC pre-expansion, we generate an average of 465 million HSPC-derived pDCs (HSPC-pDCs) starting from 100,000 cord blood-derived HSPCs. Furthermore, we demonstrate that such protocol allows HSPC-pDC generation from whole blood HSPCs, and these cells display a pDC phenotype and function. Using GMP compliant medium, we observe a remarkable loss of TLR7/9 responses, which is rescued by ascorbic acid supplementation. Ascorbic acid induces transcriptional signatures associated with pDC-specific innate immune pathways suggesting an undescribed role of ascorbic acid for pDC functionality. This constitutes the first protocol for generating pDCs from whole blood, and lay the foundation for investigating HSPC-pDCs for cell-based immunotherapy.</p>
Continuous and proactive software architecture evaluation: An IoT case -- Dataset generated from iFogSim
<p>There will always be a trade-off between using the simulators and physical IoT devices in experimentation and data generation. This is due to the high cost of the actual deployment of IoT devices as compared to simulators. However, some companies, such as Amazon, IBM, and Intel, are motivating the need for having IoT simulation instrumenting what-if test scenarios, typically used during the architecture analysis and refinement stages to evaluate the response and sensitivity of the architecture to these tests. </p> <p>Additionally, many researchers are currently looking for an IoT dataset that provides QoS for IoT architectures. This work provides a dataset well-tested for the most important quality attributes when evaluating IoT architectures.</p> <p>In particular, this work used iFogSim to generate QoS of various IoT architectures in the form of Response Time, Energy consumption, and network usage. After that, MOA framework was used to generate the Forecast QoS values using different time series forecasting algorithms.</p>
Ground truths for dataset search using similarity methods generated from a user evaluation
<p>The dataset contains ground truths for 6 different use cases and 10 levels of agreement among 10 users participating in a user evaluation of dataset search using similarity methods in data catalogs. The data contains collections linking to dataset metadata available in https://doi.org/10.5281/zenodo.4433464.</p>
Procedurally generated simulation/animation of liquids in transparent containers with depth map/ segmentation map (part of transproteus dataset)
<p>Procedurally generated simulation/animation of liquids in transparent containers with depth map/ segmentation map (part of transproteus dataset)</p> <p>https://arxiv.org/ftp/arxiv/papers/2109/2109.07577.pdf</p>
Datasets generated and/or analysed for paper entitled: "Oxysterol 7α,25OHC synthesising enzymes, CH25H and CYP7B1, are upregulated in the blood-brain barrier during inflammation"
<p>Images collected and datasets generated and/or analyzed for a paper entitled: "Oxysterol 7α,25OHC synthesising enzymes, CH25H and CYP7B1, are upregulated in the blood-brain barrier during inflammation"</p>
Dataset associated to the "ADHERENT: Learning Human-like Trajectory Generators for Whole-body Control of Humanoid Robots" paper (manuscript DOI: 10.1109/LRA.2022.3141658)
<pre><code class="language-markdown">This dataset contains data accompanying the work: @ARTICLE{9676410, author={Viceconte, Paolo Maria and Camoriano, Raffaello and Romualdi, Giulio and Ferigo, Diego and Dafarra, Stefano and Traversaro, Silvio and Oriolo, Giuseppe and Rosasco, Lorenzo and Pucci, Daniele}, journal={IEEE Robotics and Automation Letters}, title={ADHERENT: Learning Human-like Trajectory Generators for Whole-body Control of Humanoid Robots}, year={2022}, volume={7}, number={2}, pages={2779-2886}, doi={10.1109/LRA.2022.3141658}} The dataset is organized in folders, whose content can be summarized as follows: - mocap: motion capture data collected from human motion - retargeted_mocap: motion capture data retargeted on the robot - IO_features: input and output features extracted from the retargeted mocap data to train the trajectory generator - training_D2_D3_subsampled_mirrored_4ew_98%: training data - inference: data collected while generating trajectories - trajectory_control_simulation: data collected while controlling trajectories in simulation - trajectory_control_real_robot: data collected while controlling trajectories on the real robot - additional_figures: additional data to reproduce some figures in the paper and portions of the supplementary video A more detailed description of the content of each folder is provided in the README.txt file included in the dataset.</code></pre>
(SEN12MS) deepNIR: Dataset for generating synthetic NIR images
<p>This dataset contains <strong>SEN12MS </strong>NIR+RGB dataset used in our paper; deepNIR: Dataset for generating synthetic NIR images and improved fruit detection system using deep learning techniques.</p> <p>Please refer to <a href="http://tiny.one/deepNIR">http://tiny.one/deepNIR</a> for more detail.</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.