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Dataset results
125 results for “artefacts”
Artefact for: "Optimal Infinite Temporal Planning: Cyclic Plans for Priced Timed Automata"
<p>This artefact contains the UPPAAL models and raw data from experiments for the paper.</p>
Artefact to the paper "Combining Type Inference and Automated Unit Test Generation for Python" submitted to ISSTA 2024
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TW Chirinda-Digital Artefacts
<p>Picture one: Forever Friends in Kigali: Capturing a moment of laughter and adventure with my best friend in the heart of Rwanda.</p> <p>Picture two: Throwback to the Beginning: A reminder of how far I've come and the journey that started here.</p> <p>Picture: My first graduation at Nursery</p>
Artefact for PhD thesis "Dynamic Fault Trees: Semantics, Analysis and Applications"
<p>This artefact contains the example files, tools, and log files for the evaluation in Chapter 7 of the PhD thesis</p> <p><em>Matthias Volk - Dynamic Fault Trees: Semantics, Analysis and Applications</em></p> <p> </p> <p>The tools are licensed according to the license provided with each tool.</p>
Data from: A technical note on variable inter-frame interval as a cause of non-physiological experimental artefacts in ultrasound
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Critical conditions for studying Interleukin-11 signalling in vitro and avoid experimental artefacts
GEO Series GSE180652. Homo sapiens. 16 samples. Type: Expression profiling by high throughput sequencing.
Navigating Illumina Methylation Data: Biology vs. Technical Artefacts
GEO Series GSE269421. Homo sapiens. 18 samples. Type: Methylation profiling by array.
Stacked Dense Denoise-Segmentation CGLS synthetic reconstruction from 91 projection without ring artefacts
<p>The CGLS recontruction without ring artefacts from the 91 projection of the synthetic dataset used in the Stacked Dense Denoise-Segmentation Network. For the reconstruction the TomoPhantom software was used (<a href="https://doi.org/10.5281/zenodo.2546856">https://doi.org/10.5281/zenodo.2546856</a>). We acknowledge Diamond Light Source for the time on I13-2 under proposal mt9396.</p> <div> </div>
Stacked Dense Denoise-Segmentation CGLS synthetic reconstruction from 91 projection with ring artefacts
<p>The CGLS recontruction with ring artefacts from the 91 projection of the synthetic dataset used in the Stacked Dense Denoise-Segmentation Network. For the reconstruction the TomoPhantom software was used (<a href="https://doi.org/10.5281/zenodo.2546856">https://doi.org/10.5281/zenodo.2546856</a>). We acknowledge Diamond Light Source for the time on I13-2 under proposal mt9396.</p>
Stacked Dense Denoise-Segmentation FBP synthetic reconstruction from 3601 projection with ring artefacts
<p>The FBP recontruction with ring artefacts from the 3601 projection of the synthetic dataset used in the Stacked Dense Denoise-Segmentation Network. For the reconstruction the TomoPhantom software was used (<a href="https://doi.org/10.5281/zenodo.2546856">https://doi.org/10.5281/zenodo.2546856</a>). We acknowledge Diamond Light Source for the time on I13-2 under proposal mt9396.</p>
Data from: Measurement artefacts lead to false positives in the study of birdsong in noise
1: Numerous studies over the past decade have reported correlations between elevated levels of anthropogenic noise and a rise in the minimum frequency of acoustic signals of animals living in noisy habitats. This pattern appears to be occurring globally, and higher pitched signals have been hypothesized to be adaptive changes that reduce masking by low-frequency traffic noise. However, the sound analysis methods most often used in these studies are prone to measurement errors that can result in false positives. In addition, the commonly used method of measuring frequencies visually from spectrograms might also lead to observer-expectancy biases that could exacerbate measurement errors. 2: We conducted an experiment to (a) quantify the size and type of errors that result from "eye-balling" frequency measurements with cursors placed manually on spectrograms of signals recorded in noise and no-noise conditions, and (b) to test whether observer expectations lead to significant errors in frequency measurements. We asked 54 volunteers, blind to the true intention of our study, to visually measure the minimum frequency of a variety of natural and synthesized bird sounds, recorded either in noise, or no-noise conditions. Test subjects were either informed or uninformed about the hypothesized results of the measurements. 3: Our results demonstrate that inappropriate methodology in acoustic analysis can yield false positives with effect sizes as large, or even larger, than those reported in published studies. In addition to these measurement artefacts, psychological observer biases also led to false positives – when observers expected signals to have higher minimum frequencies in noise, they measured significantly higher minimum frequencies than uninformed observers, who had not been primed with any expectation. 4: The use of improper analysis methods in bioacoustics can lead to the publication of spurious results. We discuss alternative methods that yield unbiased frequency measures and we caution that it is imperative for researchers to familiarize themselves both with the functions and limitations of their sound analysis programs.. In addition, observer expectancy biases are a potential source of error not only in the field of bioacoustics, but in any situation where measurements can be influenced by human subjectivity.
Data from: On potential ocular artefacts in infant electroencephalogram: a reply to comments by Köster
[No abstract entered]
A Practitioner's Guide to MDP Model Checking Algorithms (Artefact)
<p>This artefact allows to review and replicate the experiments from the TACAS'23 paper <strong>A Practitioner's Guide to MDP Model Checking Algorithms</strong>.</p> <p>The package contains all original logfiles and the scripts that extract the relevant data from those logs to generate the plots as in the paper.</p> <p>Furthermore, the artefact contains the model checking tools `Storm` and `mcsta` with their dependencies and convenient installation scripts as well as all benchmark instances.</p> <p>We provide installation instructions for those LP solvers that, due to licensing reasons, could not be included in this artefact.</p> <p>The user can thus replicate all experiments from the paper.</p> <p>An appropriate subset of the experiments is given to allow a review in a timely manner. In addition, single experiments can be handpicked for replication.</p>
Development of Artefact Removal and Physical Activity Algorithm
ClinicalTrials.gov study NCT05901038. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Lung Ultrasound Artefact Analysis for Exclusion of Acute Rejection in Lung Transplant Recipients
ClinicalTrials.gov study NCT04582279. IPD Sharing: NO. Countries: 1. Publications: 0.
Analysis and Reducing Modalities for Artefacts Generated by Bone Conduction Implants and Cochlear Implants Subjected to an MRI Magnetic Field
ClinicalTrials.gov study NCT04116788. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Data from: Measurement artefacts lead to false positives in the study of birdsong in noise
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Data from: On potential ocular artefacts in infant electroencephalogram: a reply to comments by Köster
Open the record for dataset details and reuse information.
Apparent loss of PRC2 chromatin occupancy as an artefact of RNA depletion
GEO Series GSE240079. Mus musculus; Homo sapiens. 37 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Stone axe of Late Bronze Age (A2 artefact)
This stone axe of Late Bronze Age from Moldova region (Romania) was found in the archaeological site Topolița (Grumăzești, Neamț county). From petrographic point of view, it is a meladiorite with hornblende. For more details please read the following manuscript: [Buzgar et al. (2013) - The composition and source of the raw material of two stone axes of Late Bronze Age from Neamț County (Romania) - A Raman study](http://geology.uaic.ro/auig/article.php?id=98). *Note: this model was created in 2011 with an old camera, low-light illumination, and without any background knowledge in photogrammetry technique.* Source: Objaverse 1.0 / Sketchfab
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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.