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610 results for “Static”
Herbarium specimen image of Statice ruscinonensis (Girard) P.Fourn., part of the collection of National Museum of Natural History, Paris
Part of a training dataset of scanned herbarium specimens. The data paper and a summary landing page will be published on Zenodo as it gets published.<br><br>Content of this deposition:<br><br>- A JSON-LD datafile listing the label data associated with this herbarium specimen. The Darwin and Dublin Core data standards are used for most values.<br>- A JPEG image file of the scanned herbarium sheet.
Synchrotron-based visualization and segmentation of elastic lamellae in the mouse carotid artery during quasi-static pressure inflation: 2D segmentations
<p>This dataset contains 2D segmentations of images that were obtained during quasi-static pressure inflation of mouse carotid arteries. Images were taken with phase propagation imaging at the X02DA TOMCAT beamline of the Swiss Light Source synchrotron at the Paul Scherrer Institute in Villigen, Switzerland. Scans of n=12 left carotid arteries (n-6 Apoe-deficient mice, n=6 wild-type mice, all on a C57Bl6J background) were taken at pressure levels of 0, 10, 20, 30, 40, 50, 70, 90 and 120 mmHg. For analysis we selected 75 images from the center of each stack (starting at the center of the stack, and skipping 2 of every three images in both cranial and caudal axial directions) for each sample and for each pressure level, resulting in a total of 75 x 12 x 9 = 8100 analyzed images from 108 different scans. Segmentation algorithm, 3D visualization and geometric analysis are presented in the corresponding manuscript. Files are uploaded in .jpg format and are named: lamella_slicenumber, with slicenumber varying from 1 to 8100. There is also a Matlab file, UndulationData_Zenodo.mat, in which all the relevant variables post analysis are stored. This file contains a variable called "myFiles", which contains the link between the slicenumbers used here and the original dataset that is published in Zenodo (.tif synchrotron images).</p>
Left Atrium 3D Models Extracted from Static CT Images (AF and SR Models)
<p>A cohort of 45 x 2 patient-specific 3D-models from static computed tomography (CT) images provided by the University Medical Center Hamburg-Eppendorf in Germany. The study complies with EU Regulation 2016/679 and has recieved ethical approval from the regional committee. </p> <p>The cohort has been used in two research papers:</p> <ol> <li>Kjeldsberg et al. (2024), Estimation of inlet flow rate in simulations of left atrial flows: A proposed optimized and reference-based algorithm with application to sinus rhythm and atrial fibrillation, <em>J Biomech</em> [Accepted]</li> <li>Kjeldsberg et al. (2024), Beyond CHA2DS2–VASc: hemodynamic and morphologic discriminants for thrombus formation and stroke in atrial fibrillation patients,<em> Ann. Biomed. Eng</em>. [Submitted]</li> </ol> <p><strong>models_af.zip </strong>contains 45 3D surface models (.vtp) extracted during onset of atrial diastole where <strong>A</strong>trial <strong>F</strong>ibrillation movement was applied using a motion algorithm [*]</p> <p><strong>models_sr.zip </strong>contains 45 3D surface models (.vtp) extracted during onset of atrial diastole where <strong>S</strong>inus <strong>R</strong>hytmn movement was applied using a motion algorithm [*]</p> <p> </p> <p>[*] For details on the motion algorithm, see <a href="Harrison, J., 2024. Medical Imaging, Shapes and Statistics for Stroke Prediction in Atrial Fibrillation (Doctoral dissertation, Inria & Université Cote d'Azur, CNRS, I3S, Sophia Antipolis, France).">Harrison – Medical Imaging, Shapes and Statistics for Stroke Prediction in Atrial Fibrillation </a></p>
Introduction to static monitoring - PAMGuard tutorial dataset
<h1>Introduction to static monitoring - PAMGuard tutorial dataset</h1> <h2>GENERAL INFORMATION</h2> <p>This is a dataset to be used with the PAMGuard tutorial <em>Introduction to static monitoring in PAMGuard</em>. The dataset is from a single autonomous acoustic logger (SoundTrap) recording off the Scottish West Coast and contains a wealth of acoustic data including dolphin whistles and clicks, sonar, baleen whales and porpoises. The tutorial text and other related files can be found on the <a href="https://github.com/PAMGuardLearning/Intro2Pamguard">PAMGuardLearning GitHub page</a> or<a href="https://www.pamguard.org/69_Tutorials.html"> PAMGuard website</a>.</p> <h3>Year of data collection:</h3> <p>2018</p> <h3>Geographic location of data collection:</h3> <p>Stanton Banks, Scotland</p> <h3>Funding sources that supported the collection of the data:</h3> <p>The COMPASS project has been supported by the EU’s INTERREG VA Programme, managed by the Special EU Programmes Body. The views and opinions expressed in this document do not necessarily reflect those of the European Commission or the Special EU Programmes Body (SEUPB).</p> <h3>Recommended citation for this dataset:</h3> <p>Risch, D., Quer, S., Edwards, E., Beck, S., Macaulay, J., Calderan, S. (2018). Acoustic data from the Scottish west coast recorded with a single-element recording unit doi: 10.5281/zenodo.13880212</p> <h2>DATA & FILE OVERVIEW</h2> <h3>Description of dataset</h3> <p>The dataset contains three days of sample recordings from a deployment of an acoustic recording device (SoundTrap ST300) with a battery pack. The SoundTrap was running an on-device click detector on data at 576kHz sample rate and saving 96kHz raw acoustic data. The click detector detects any transient sound and saves a snippet of the waveform. </p> <p>The dataset also contains processed data from the entire deployment. There data have been processed in PAMGuard software (www.pamguard.org) for low frequency moans, dolphin whistles, clicks noise and longterm spectral averages. The detection and soundscape data has been saved in and raw acoustic recordings discarded. </p> <h3>Files</h3> <p>There are two directories - _audio_ and _viewer_. *audio* contains .sud files whicha re compressed audio and metadata files. They contain raw audio, click detection data and metadata. Data from sud files can be decompressed using SoundTrap Host software (www.oceaninstruments.co.nz). </p> <p>The _viewer_ folder contains a PAMGuard database and associated detection files in the _PAMBinary_ folder and sub folders. The database contains PAMGuard settings and some basic metadata. The detection .pgdf files are non human readable files that contain detection data such as detected clicks, frequency contours of whistles, moans and other tonal sounds and a time series of soundscape metrics. These files can be opened with PAMGuard software (www.pamguard.org), MATLAB (https://github.com/PAMGuard/PAMGuardMatlab) and R (https://github.com/TaikiSan21/PamBinaries). </p> <p>The folder structure is as follows</p> <p><code>├── audio #Three example days of acoustic recordings</code><br><code>│ ├── D2_SB_189411</code><br><code>│ ├── D2_SB_189415 </code><br><code>│ └── D2_SB_189428</code><br><code>├── README.md #The readme file</code><br><code>└── viewer #Processed data from a whole deployment</code><br><code> ├── compass_database_D2_stanton.sqlite3 #PAMGuard database</code><br><code> └── PAMBinary</code><br><code> ├── 20180301 #Folders containing detection files</code><br><code> ├── 20180302</code><br><code> ├── '''</code></p> <h2>SHARING AND ACCESS</h2> <p>These data are open source under Creative Commons Attribution 4.0 International. This means that these data can be used in other tutorials as long as the original authors are credited. Using these data for scientific purposes requires the permission of the authors. </p>
Artifacts for ISSTA 2021 Paper : Validating Static Warnings via Testing Code Fragments
<p><strong>This data set is for ISSTA 2021 Paper: Validating Static Warnings via Testing Code Fragments</strong></p> <p>Static analysis is an important approach for finding bugs and vulnerabilities in software. However, inspecting and confirming static warnings are challenging and time-consuming. In this paper, we present a novel solution that automatically generates test cases based on static warnings to validate true and false positives. We designed a syntactic patching algorithm that can generate syntactically valid, semantic preserving executable code fragments from static warnings. We developed a build and testing system to automatically test code fragments using fuzzers, KLEE and Valgrind. We evaluated our techniques using 12 real-world C projects and 1955 warnings from two commercial static analysis tools. We successfully built 68.5% code fragments and generated 1003 test cases. Through automatic testing, we identified 48 true positives and 27 false positives, and 205 likely false positives. We matched 4 CVE and real-world bugs using Helium, and they are only triggered by our tool but not other baseline tools. We found that testing code fragments is scalable and useful; it can trigger bugs that testing entire programs or testing procedures failed to trigger.</p>
Benchmarking (multi)wavelet-based dynamic and static non-uniform grid solvers for flood inundation modelling (Simulation results)
<p>Simulation result data for Environment Agency benchmark test 5, Thamesmead hypothetical flood, and Carlisle 2005 case studies, using uniform DG2, adaptive MWDG2, adaptive HWFV1, non-uniform DG2, non-uniform FV1 and non-uniform ACC solvers. </p> <p>Model results are archived in 3 zip files:</p> <ul> <li>EA5.zip contains results of Environment Agency test 5 (Néelz and Pender, 2013)</li> <li>Thamesmead.zip contains results of Thamesmead hypothetical flood (Liang et al., 2008)</li> <li>Carlisle.zip contains results of Carlisle 2005 flooding (Neal et al., 2009)</li> </ul> <p>The results are stored with the following file extensions:</p> <ul> <li>".wd" for 2D flood inundation maps in ESRI ASCII format</li> <li>".stage" for water depth or water level time-series at staging points in tabulated text format</li> <li>".velocity" for velocity time-series at staging points in tabulated text format</li> </ul> <p>Model outputs are stored under directories named for each solver.</p> <p><strong>References</strong></p> <p>Néelz, S., & Pender, G. (2013). Benchmarking the latest generation of 2D hydraulic modelling packages. <em>Environment Agency: Bristol, UK</em>.</p> <p>Liang, Q., Du, G., Hall, J. W., & Borthwick, A. G. (2008). Flood Inundation Modeling with an Adaptive Quadtree Grid Shallow Water Equation Solver. <em>Journal of Hydraulic Engineering</em>, <em>134</em>(11), 1603–1610. https://doi.org/10.1061/(ASCE)0733-9429(2008)134:11(1603)</p> <p>Neal, J. C., Bates, P. D., Fewtrell, T. J., Hunter, N. M., Wilson, M. D., & Horritt, M. S. (2009). Distributed whole city water level measurements from the Carlisle 2005 urban flood event and comparison with hydraulic model simulations. <em>Journal of Hydrology</em>, <em>368</em>(1–4), 42–55. https://doi.org/10.1016/j.jhydrol.2009.01.026</p> <p> </p>
Dataset for A Fast Frozen Phonon Algorithm Using Mixed Static Potentials
<p>Multislice simulation dataset for "A Fast Frozen Phonon Algorithm Using Mixed Static Potentials"</p>
MD simulations of SARS-CoV-2 Spike Protein under static electric fields
<p>This dataset contains trajectories corresponding to all-atom MD simulations of segments of the SARS-CoV-2 Spike Protein, and in-silico mutations, under the influence of moderate external electric fields. The final structures of some of the simulations were used to perform in-silico docking with ACE2 receptor to evaluate the effect of comformational changes (docking was perform with PyDOCK).</p> <p>The file trajectories_6vsb_dt1ns.zip contains trajectories of simulations that were performed on a segment of the Protein Data Bank ID 6VSB comprising RBD, SD1 and SD2. The file trajectories_6m0j_dt1ns.zip correspond to the RBD in Protein Data Bank ID 6M0J. The file trajectories_in-silico_mutations_dt1ns.zip correspond to simulations performed on in-silico generated mutations following the mutations corresponding to WHO Variants of Concern UK, South Africa and Brazil. In all cases, simulations were performed at different electric field intensities ranging between 10<sup>4</sup> V/m and 10<sup>7</sup> V/m, with an extra short simulation under very high intensity (10<sup>9</sup> V/m). The file docked_structures_6m0j.zip contains the 100 best scored docked structures for each case as the output of PyDOCK.</p> <p>Trajectories are stored in GROMACS compressed trajectory file format (.xtc), downsampled to a 1ns timestep. Individual trajectories length are between 300 nanoseconds and 1 microsecond. In-silico docked structures are in PDB format. See linked preprint for more details.</p>
Static and Dynamic DFT Data Sets for Polymorphs of l-Cysteine - Stability and Terahertz Spectra
<p>Data sets associated with static and dynamic density functional calculations are reported for the four known polymorphs of l-cysteine and for models associated with the known disorder in Form I.. </p> <p>Static calculations are used to explore the relative free energies (within the harmonic approximation) of the polymorphs as a function of pressure. The energetics for dihedral angle rotation are explored and the barriers for rotation between the hydrogen bonding motifs have been calculated for each polymorph.</p> <p>Molecular dynamics calculations are reported for each polymorph and for models of hydrogen bond disorder which are known to exist at higher temperatures.</p> <p>Finally static and dynamic calculations of the infrared and terahertz spectra are performed.</p>
Project's repository for: Co-immersion in Audio Augmented Virtuality: the Case Study of a Static and Approximated Late Reverberation Algorithm
<p>Repository of the VR scene and the audio data used for the experiment reported in the publication <a href="https://ieeexplore.ieee.org/document/10269056" target="_blank" rel="noopener">available in Open Access</a>:</p> <blockquote> <p>Davide Fantini, Giorgio Presti, Michele Geronazzo, Riccardo Bona, Alessandro Giuseppe Privitera and Federico Avanzini (2023) "Co-immersion in Audio Augmented Virtuality: the Case Study of a Static and Approximated Late Reverberation Algorithm" in <em>IEEE Transactions on Visualization and Computer Graphics (ISMAR special issue)</em></p> </blockquote> <p>The file <a href="../api/files/06c374e2-c54d-40f1-ae23-c4c7afbfba5b/README.md">README.md</a> includes some instructions to use the data in this repository.</p> <p> </p> <p><strong>AUDIO</strong></p> <p>The file <a href="../api/files/06c374e2-c54d-40f1-ae23-c4c7afbfba5b/audio.zip">audio.zip</a> includes the Reaper's projects and audio files used in the experiment to provide the auditory stimuli (simultaneous reverberated speeches) to the participants. Each subfolder corresponds to a different Virtual Acoustics Environment (VAE):</p> <ul> <li><<em>LivingRoom</em>|<em>MARCo</em>|<em>METU</em>> <ul> <li><<em>Living Room</em>|<em>MARCo</em>|<em>METU</em>><em>.rpp</em>: Reaper's project for the VAE</li> <li><em>Bin</em>: folder including the speech data convolved with the late reverberation part of the reverb condition \(B\) for each source position in the VAE</li> <li><em>Freeverb</em>: folder including the speech data convolved with the late reverberation part of the reverb condition \(F_\text{d}\) for each source position in the VAE</li> <li><em>HOA</em>: <ul> <li><em>ER</em>: folder including the speech data convolved with the early reflections part (HOA in A-format) of the reference reverb condition \(H\) for each source position in the VAE</li> <li><em>Ref</em>: folder including the speech data convolved with the entire reference reverb condition \(H\) (HOA in A-format) for each source position in the VAE</li> </ul> </li> </ul> </li> </ul> <p>The reverberated speech data in the <a href="../api/files/06c374e2-c54d-40f1-ae23-c4c7afbfba5b/audio.zip">audio.zip</a> file are obtained using third-party datasets:</p> <ul> <li>The anechoic speech data are retrieved from four speakers (F2, F5, M3, M6) of the <a href="https://doi.org/10.5281/zenodo.6257551">ACE challenge corpus</a></li> <li>The Room Impulse Responses (RIR) in High-Order Ambisonics (HOA) format used to reverberate the speeches are retrieved from: <ul> <li><a href="https://doi.org/10.5281/zenodo.5747753">Living Room</a></li> <li><a href="https://doi.org/10.5281/zenodo.3477602">Concert hall (MARCo)</a></li> <li><a href="https://doi.org/10.5281/zenodo.2635758">Classroom (METU)</a></li> </ul> </li> </ul> <p> </p> <p><strong>VR SCENE</strong></p> <p>The file <a href="../api/files/06c374e2-c54d-40f1-ae23-c4c7afbfba5b/VRscene.zip">VRscene.zip</a> includes the Virtual Reality (VR) scene provided to the participants during the experiment via an Oculus Quest 2. This file includes two subfolders:</p> <ul> <li><em>UDPServer</em>: C# code for the UDP server used for sending the OSC messages for head tracking <ul> <li><em>external/SharpOSC.dll</em>: external library (<a href="https://github.com/ValdemarOrn/SharpOSC">SharpOSC</a>) used to interact with the OSC protocol</li> </ul> </li> <li><em>VR_Headtracking</em>: folder including the Unity project with the VR scene</li> </ul> <p> </p>
The Plasma-Prescribed Active Region Static Extrapolation Dataset
<p>The Plasma-Prescribed Active Region Static Extrapolation (PARSE) Dataset consists of approximately seven thousand magnetohydrostatic extrapolations of solar active regions for use in statistical or machine learning applications. The extrapolations are based on the Spaceweather HMI Active Region Patch (SHARP) library (doi <a href="https://doi.org/10.1007/s11207-014-0529-3">10.1007/s11207-014-0529-3</a>), and the magnetohydrostatic extrapolation is performed by the routine detailed in Mathews et al 2022 (doi <a href="https://doi.org/10.1016/j.jcp.2022.111214">10.1016/j.jcp.2022.111214</a>). </p>
Alaskan Peatland Experiment (APEX): Static chamber methane fluxes from fen sites, 2005-2011 and 2015-2016
Methane fluxes were collected at APEX rich fen during the summers of 2005 - 2011 and 2015-2016. APEX Fen is located in the Bonanza Creek LTER outside of Fairbanks, AK. APEX Fen uses a full-factorial water table (flooded or raised, lowered or drained, and control treatments, as well as a moisture gradient). A warming manipulation (warmed, unwarmed treatment) was in place in 2005-2011, but ceased by 2014. In 2015, vegetation manipulation subplots were installed within the water table treatments.
Alaskan Peatland Experiment (APEX): Static chamber methane fluxes from bog sites, 2008-2011
This dataset includes the static chamber methane fluxes collected from 2008-2011 at the APEX bog site. The bog site includes three types of bogs: a permafrost bog (broken into a control and experimental area), a new collapse site (NW, Nwref, and SW), and an old collapse site (NE and SE). Static chambers are fluxed for methane approximately weekly at the collapse sites and monthly at the permafrost sites. The flux is calculated the linear change in concentration within the chamber over a 30 minute period. The flux is reported as mgCH4/m2/d.
Dataset - Learning to Measure Static Friction Coefficient in Cloth Contact
<p>Dataset for: Learning to Measure the Static Friction Coefficient in Cloth Contact</p>
Quasi-static cyclic tests on masonry spandrels - Experimental data
<p>This data set is the experimental data underlying the publication:</p> <p>Beyer K, Dazio A (2012) Quasi-static cyclic tests on masonry spandrels, Earthquake Spectra 28(3): 907-929. http://dx.doi.org/10.1193/1.4000063</p> <p>Abstract of publication:</p> <p>This paper presents the results of an experimental campaign on masonry spandrels. Within this campaign, four masonry spandrels were subjected to quasi-static cyclic loading. Two different spandrel configurations were tested. The first configuration comprised a masonry spandrel with a timber lintel, and the second configuration, a masonry spandrel on a shallow masonry arch. For each configuration, two specimens were tested. The first was tested with a constant axial load in the spandrel, while for the second specimen, the axial load in the spandrel depended on the axial elongation of the spandrel. This paper summarizes the properties of the four test units, the test setup, and the most important results from the experiments, documenting the failure mechanisms that developed and the force-deformation hysteresis of the spandrel elements. The paper also presents a mechanical model for estimating the peak strength of masonry spandrels.</p>
A Static-Based Approach to Detect SQL Semantic Bugs Dataset
<p>The dataset used for our study: A Static-Based Approach to Detect SQL Semantic Bugs.</p> <p>This dataset contains more than 172,000 queries extracted from StackOverflow posts. It was built for analysing the prevalence of semantic bugs in SQL queries.</p> <p>For more information about our study and tools see our GitHub repository: <a href="https://github.com/SERG-Delft/sql-bug-finder">https://github.com/SERG-Delft/sql-bug-finder</a></p> <p>Description of included files:</p> <ul> <li>sql_db.png: database ER diagram</li> <li>homedb_queries.sql: contains queries extracted from StackOverflow posts</li> <li>homedb_questions.sql: contains SQL related question posts extracted from StackOverflow</li> <li>homedb_answers.sql: contains the answers to SQL related question posts extracted from StackOverflow</li> <li>homedb_bugs.sql: contains queries with semantic bugs extracted from StackOverflow posts</li> <li>homedb_owners.sql: contains data related to the owners (users) of SQL StackOverflow posts</li> <li>homedb_pages.sql: artifact from book-keeping script, tracking the StackOverflow pages from which SQL queries were extracted (SQL tagged pages, ordered by votes in descending order)</li> </ul>
Quasi-static cyclic tests on 2 systems with one RC and one URM wall each
<p>The test units were constructed at 2/3 scale and subjected to quasi-static cyclic in-plane loading. The test units consisted each of one RC and one URM wall, which were connected by two RC beams. The test units represent the lower two storeys of a four storey reference structure. Their behaviour was recorded using conventional and optical measurement techniques.</p>
Simulation of freely-diffusing smFRET data of a static mixture of 2 populations
<p>Simulation data created with PyBroMo smFRET simulation software.</p>
2nd_dataset-Minimal radius of magnetic skyrmions: statics and dynamics
<p>In a broad range of applied magnetic fields and material parameters isolated magnetic skyrmions<br> condense into skyrmion lattices. While the geometry of isolated skyrmions and their lattice<br> counterparts strongly depend on field and Dzyaloshinski–Moriya interaction, this issue has not been<br> adequately addressed in previous studies. Meanwhile, this information is extremely important for<br> applications, because the skyrmion size and the interskyrmion distance have to be tuned for skyrmion<br> based memory and logic devices. In this investigation we elucidate the size and density-dependent<br> phase diagram showing traditional phases in field versus material parameters space by means of<br> Monte-Carlo simulations on a discrete lattice. The obtained diagram permits us to establish that, in<br> contrast to the continuum limit, skyrmions on a discrete lattice cannot be smaller than some critical<br> size and have a very specific shape. These minimal skyrmions correspond to the micromagnetic<br> configuration at the energy barrier between the ferromagnetic and the skyrmionic states.<br> Furthermore, we use atomistic Landau–Lifshitz–Gilbert simulations to study dynamics of the<br> skyrmion annihilation. It is shown that this procees consists of two stages: the continuous skyrmion<br> contraction and its discontinuous annihilation. The detailed analysis of this dynamical process is<br> given.</p>
Data set from ambient vibration monitoring and static loading of a steel stringer bridge subject to imposed damage
<p>This data set contains structural response measurements acquired from the Route 345 Bridge over Big Sucker Brook in Waddington, NY prior to demolition and replacement. This steel stringer bridge was instrumented with dual-axis accelerometers and strain transducers and response measurements were obtained prior to and following mechanically imposed damages. Accelerometer measurements were obtained under vehicle passes and strain measurements were acquired during static loading of the span with a truck positioned at three prescribed locations. All measurement data is contained in a single h5-file (hierarchical data format version 5). The data is shared with the intent of promoting the advancement of structural health monitoring and vibration-based damage detection. </p> <p><strong>Version 2 Note: </strong>This version corrects the strain measurement data. Due to an index counter error in the script that compiled the strain measurement data into the h5-file, the strain measurement data in the Version 1 data were incorrectly sourced from a single scenario. The strain measurements are corrected in this new version. No other changes were made in the h5-file.</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.