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1,211 results for “Instruments”
Exploring the relation between fundamental frequency and spectral envelope in the perception of musical instrument sounds – sound files and participant responses
<p>This database contains synthesized instrument sounds (sounds.zip), participant responses (data.zip), and a key for the stimulus order (stimKey.zip) as complementary data to [1].</p> <p>Sounds include individual stimuli for two experiments. Experiment 1 contains stimuli used for sound pleasantness and sound brightness ratings. Every rating scale includes three acoustic conditions: congruent, incongruent, and fixed, corresponding to the relation of fundamental frequency (F0) and spectral envelope (SE). See [1] for further details on this matter. Experiment 2 contains stimuli for four synthesized instrument sounds: violin, alto voice, clarinet, and tuba. Sounds were synthesized using congruent spectral envelopes (all), and register fixed spectral envelopes (low, mid, high).</p> <p>All sounds are mono signals with a sampling frequency of 44100 Hz in WAV format.</p> <p>Data includes four sets of participant response data: sound pleasantness ratings (Exp. 1), sound brightness ratings (Exp. 1), sound pleasantness ratings (Exp. 2), and sound plausibility ratings (Exp. 2).</p> <p>StimKey provides values for the first and second principal components of the synthesis space for the pleasantness (1 to 81) and brightness (1 to 16) stimulus numbers for Exp. 1.</p> <p> </p> <p>Names convention for Exp. 2 sounds:</p> <p>InstrumentName_congruencyCondition_F0..wav</p> <p> </p> <p>References:</p> <p>[1] Jacobsen, S. and Siedenburg, K. (2024). Exploring the relation between fundamental frequency and spectral envelope in the perception of musical instrument sounds. Acta Acustica, 8, 48. <a href="https://doi.org/10.1051/aacus/2024038">https://doi.org/10.1051/aacus/2024038</a>.</p>
Liquid water content, ice water content and density measured via the SnowMelt Instrument at Auberge station
<pre><span><span>Liquid water content, ice water content and density measured via the SnowMelt Instrument nearby the Auberge station during 3 consecutive winters, from <span>2021-11-05</span> to <span>2024-03-21, for the bottom snow layer (0-7cm). Data are aggregated at the hourly time step. The instrument was unmounted during no-snow periods. The liquid water content of the bottom snow layer can be used as a proxy for snow melt at the measurement point.</span></span></span></pre>
Archetype-Based Redshift Estimation for the Dark Energy Spectroscopic Instrument Survey
<p>Supplementary material to DESI's publication "Archetype-Based Redshift Estimation for the Dark Energy Spectroscopic Instrument Survey" by Anand et al. 2024 to comply with the data management plan. The material includes all the data shown in the figures of the results of the paper.</p>
Test Instrument Example for ASE'18 paper 'Assessing the Type Annotation Burden" : Corrected Question Numbers
<p>Artifact for ASE'18 paper "Assessing the Type Annotation Burden". This PDF shows an example test instrument (a Qualtrics survey) with all 20 questions (20 code artifacts).</p> <p> </p> <p>A picture of the options in the drop-down box is shown on the last page (note: the order of elements in the drop-down was randomized for each test.</p>
Dataset: Occupancy Presence and Trajectory Dataset from an Instrumented Public Building
<p>Dataset form three PC2, 3D stereo vision camera, form Xovis.<br> It contains 5,485,350 readings, collected over 13 days, in the summer of 2019, in a public building in Denmark.<br> The monitored space is 105 m2.</p> <p>The Data description can be found on:<br> <a href="https://doi.org/10.1145/3359427.3361909">https://doi.org/10.1145/3359427.3361909</a></p> <p>The occupancy_presence_and_trajectories.csv file contains the following attributes:</p> <ul> <li>time: Time-stamp when the entries were collected [Time].</li> <li>day_id: ID for the specific day in the dataset [Number].</li> <li>workday: Was the entry collected on a workday [Boolean].</li> <li>holiday: Was the entry collected on a national holiday [Boolean].</li> <li>x: Represents the spatial position in X-axis [Number].</li> <li>y: Represents the spatial position in Y-axis [Number].</li> <li>occupant_id: Unique Occupant-ID [Number]. </li> <li>height: Occupant height in [millimeters]. </li> <li>camera_id: Name of the camera which collected the entries [String].</li> </ul> <p> </p> <p> </p>
Survey instrument, data, and code for paper "Freihardt, Buntaine, Bernauer (2024): Choosing to protect: Public support for flood defense over relocation in climate change adaptation. Environmental Research Letters. DOI 10.1088/1748-9326/ad6781"
<p>This is the survey instrument, data, and code underlying the manuscript:</p> <p>"Freihardt, Buntaine, Bernauer (2024): Choosing to protect: Public support for flood defense over relocation in climate change adaptation. Environmental Research Letters. DOI 10.1088/1748-9326/ad6781"</p>
This is Our Thing - instruments
<p>Video of a performance of This is Our Thing (2024) using music instruments and sounding objects. </p> <p>This is Our Thing is a composition by Christian Ferlaino and Raymond MacDonald in co-creation with Cassandra Gulotta, Carlotta Costabile, Rossella Manieri, Simonetta Santoro, Anna Catanzaro and Benedetta Pagliaro. </p> <p>Performers: Christian Ferlaino, Cassandra Gulotta, Benedetta Pagliaro, Anna Catanzaro and Carlotta Costabile.</p> <p>The score is available at https://zenodo.org/records/11351624</p> <p>This piece is part of the research LoMus - Local Sound for a New Musicality. Enhancing Musical Participation through a Local Sonic Practice is a research project funded under the Marie Skłodowska Curie Action. LoMus investigates ways of expanding musical participation through the use of sounding objects and contemporary music techniques.</p>
Genetic instruments for blood cell traits
<p>This dataset includes summary statistics for genetic instruments for 9 blood cell trait phenotypes. These genetic instruments were developed in the UK Biobank and were used in several Mendelian randomization studies, including an analysis of childhood acute lymphoblastic leukemia (Kachuri et al. 2021; PMID 34469753) and glioma subtypes (Kachuri et al. 2024). Details of the GWAS and instrument development process are described in: https://pubmed.ncbi.nlm.nih.gov/34469753/</p>
Data from article "The potential recording of North Ionian Gyre's reversals as a decadal signal in sea level during the instrumental period"
<p>This repository hosts the data from Meli M. 2024: The potential recording of North Ionian Gyre’s reversals as a decadal signal in sea level during the instrumental period. <em>Scientific Reports, </em><strong>14</strong>, 4907. https://doi.org/10.1038/s41598-024-55579-4</p> <p>The dataset contains:</p> <p>- Python code for analysis of altimetry products ("satellite.py") and tide gauge time series ("tg.py").</p> <p>- The "satellite" folder contains txt files, each representing the annual time series of the first (_1) and second (_2) oscillatory modes decomposed from the satellite altimetry signal and averaged over specific sub-basins. The nc file, on the other hand, contains the time series for every grid point of the altimetry product, along with the various layers (modes) decomposed from the original signal.</p> <p>The "tide_gauges" folder contains npy files, each representing the annual time series of all oscillatory modes decomposed at each tide gauge selected for this analysis. The csv file contains the sub-basin and regional averaged signals of the second oscillatory mode, along with their standard deviations.</p> <p><strong>UPDATE</strong>: In version 2 of the repository, the file IMFs_array.nc (located in the folder satellite.zip) has been updated to IMFs_array_v2.nc. In this version, the land areas in Mode 2 have been masked.</p>
ASTER L1A Reconstructed Unprocessed Instrument Data V003
<p>Aster datasets </p>
An analysis of peak fitting in reference material spectra for calibration of Raman spectroscopy instruments (Dataset)
<p>tbd</p> <p>NeXus format</p>
Base de données / Sons instruments
<p>Différente note de musiques de guitare et piano</p>
Geant4 simulation of ARASE HEP instrument calibration
<p>This dataset created for the calibration of ARASE HEP instruments. The Geant4 particle simulation results contained in this data. The format of this data is root. The root analysis tool needs to be required to see this data.<br> </p>
Cardiac patch transplantation instruments for robotic minimally invasive cardiac surgery: initial proof-of-concept designs and surgery in a porcine cadaver
<p>BACKGROUND: Damaged cardiac tissues could potentially be regenerated by transplanting bioengineered cardiac patches to the heart surface. To be fully paradigm-shifting, such patches may need to be transplanted using minimally invasive robotic cardiac surgery (not only traditional open surgery). Here, we present novel robotic designs, initial prototyping and a new surgical operation for instruments to transplant patches <em>via </em>robotic minimally invasive heart surgery. METHODS: Robotic surgical instruments and automated control systems were designed, tested with simulation software and prototyped. Surgical proof-of-concept testing was performed on a pig cadaver. RESULTS: Three robotic instrument designs were developed. The first (called “Claw” for the claw-like patch holder at the tip) operates on a rack and pinion mechanism. The second design (“Shell-Beak”) uses adjustable folding plates and rods with a bevel gear mechanism. The third (“HeartStamp”) utilizes a stamp platform protruding through an adjustable ring. For the HeartStamp, rods run through a cylindrical structure designed to fit a uniportal Video-Assisted Thorascopic Surgery (VATS) surgical port. Designed to work with or without a sterile sheath, the patch is pushed out by the stamp platform as it protrudes. Two instrument robotic control systems were designed, simulated <em>in silico</em> and one of these underwent early ‘sizing and learning’ prototyping as a proof-of-concept. To reflect real surgical conditions, surgery was run “live” and reported exactly (as-it-happened). We successfully picked up, transferred and released a patch onto the heart using the HeartStamp in a pig cadaver model. CONCLUSION: These world-first designs, early prototypes and a novel surgical operation pave the way for robotic instruments for automated keyhole patch transplantation to the heart. Our novel approach is presented for others to build upon free from restrictions or cost – potentially a significant moment in myocardial regeneration surgery which may open a therapeutic avenue for patients unfit for traditional open surgery.</p>
A map showing the locations of instruments used during the Convective Storm Initiation Project (CSIP) pilot
The CSIP pilot project was conducted in July 2004 centred around the Chilbolton radar facility where there is a 25 metre radar dish with two of the most sophisticated meteorological radars in the world. The pilot project utilised many of the instruments and facilities from the NCAS Universities' Facility for Atmospheric Measurement (UFAM) including a Cessna aircraft, wind profiler, Doppler lidar, sodar and automatic weather stations and scientists from the universities of Aberystwyth, Leeds, Reading, Salford, Essex, Bath and UMIST as well also from the Met Office.
Basic data that show effect of irrigation on the cyclic fatigue resistance of the two rotary endodontic instruments.
<p>file contain Basic data that show effect of irrigation on the cyclic fatigue resistance of the two rotary endodontic instruments. </p>
3D printing lifts the lid on black box instruments
<p>Within analytical chemistry, chemical instruments involve numerous interconnected parts working cohesively towards a specific functionality. However, these highly complex mechanisms cannot be fully depicted with a 2-dimensional textbook model or image, leading to confusion or misconceptions during the learning process. To address this comprehension gap, an array of chemical instrument components have been designed and fabricated with 3D printing to create a hands-on learning experience. The models developed were created in interlocking parts to allow disassembly and investigation of the inner workings of each instrument component. This work produced a series of teaching aids and dynamic models for common instruments including a quadrupole, quadrupole-ion-trap, orbitrap, FTICR mass spectrometer; a GC injection port, FID, and ECD detectors; an HPLC injector; an ICP torch and nebulizer; a Michaelson interferometer; a basic monochromator; and a shatterbox sample preparation device. These models were designed to be interactive and hand-held 1:1 scale models of commercial instrument components. Using these models, students' learning may be expanded from 2 to 3 dimensions; providing hands-on experience with modern laboratory instrumentation impossible with commercial instrumentation. Models were used in a small Analytical Chemistry lecture (<em>n</em> = 8) which demonstrated positive student reception, especially for models with kinematic relations to instrument functionality.</p>
Raw data and stimuli for assessing the perceived reverberation in different rooms for a set of musical instrument sounds
<p>This set of data and sound stimuli was used in the study by Osses, McLachlan, and Kohlrausch (2020) to assess the perceived reverberation --including measurements and simulations-- for different instrument sounds in eight different rooms. The following are the directories that are provided:</p> <ul> <li><strong>00-Experiment-WAE_GM_201712</strong>: Web Audio Evaluation tool (WAE) used to run the listening experiment with 24 participants. Follow the instructions in README.txt to get the experiment running.</li> <li><strong>01-Stimuli</strong>: Sound stimuli as exactly used during the listening experiments.</li> <li><strong>02-Raw-data</strong> and <strong>03-Results-summary</strong>: Outputs from WAE for each of the participants. The raw data contained in these XML files were extracted and stored in '03-Results-summary'</li> <li><strong>04-Stimuli-9s-for-simulations</strong>: Same sounds as in '01-Stimuli' but truncated to have a duration of 9 s. These sounds were used as input to an implementation (Osses et al. 2017, 2020) of the model by van Dorp et al. (2013).</li> </ul> <p>The paper figures can be reproduced in two MATLAB toolboxes: fastACI (script: publ_osses2020a_JASA_EL_figs.m) and AMT (script: exp_osses2020.m, availability as of 2023).</p>
Psychometric Instruments in Software Engineering Research on Personality: Status Quo After Fifty Years
<p>Step files.</p>
Analyzing defense-in-depth properties of nuclear power plant instrumentation and control system architectures using ontologies
<p>A proof-of-concept OWL ontology for representing knowledge over nuclear overall instrumentation & control (I&C) system architectures, and two case studies built around a proposed US variant of the European Pressurized Water Reactor and the NuScale Small Modular Reactor.</p>
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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.