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28 results for “ABR”
ABR raw data and results from automated hearing threshold detection
<p><strong>This repository contains: </strong></p> <ol> <li><strong>data.tar.gz</strong>: raw data from Auditory Brainstem Response (ABR) measurements performed at over 4,000 mice at the German Mouse Clinic. It also contains suitably pre-processed ABR raw data of over 8,000 mice from another public data repository (10.5061/DRYAD.CV803RV) of the Wellcome Sanger Institute. All data is intended to be used by and compatible with code published on GitHub (https://github.com/ExperimentalGenetics/ABR_thresholder). <br> </li> <li><strong>results.tar.gz</strong>: results and visualisations - comparison of two new, independent automatic hearing threshold finding methods and comparison with the manual gold standard method.</li> </ol>
Raw Data from - Speech-ABRs in Cochlear Implant Recipients: Feasibility Study
<p><strong>Speech-ABRs in Cochlear Implant Recipients: Feasibility Study</strong></p> <p>Ghada BinKhamis, Emanuele Perugia, Martin O’Driscoll, Karolina Kluk</p> <p><strong>Please site the paper when using this dataset</strong> (DOI: 10.1080/14992027.2019.1619100)</p> <p> </p> <p><strong>Participant Recordings (BinKhamis et al Speech_ABR in CI raw data.zip)</strong></p> <ul> <li><strong>Description of raw EEG (speech-ABR) data main folder, subfolders, and raw EEG files</strong> <ul> <li><strong>Folder Information</strong> <ul> <li><strong>Main folder:</strong> Contains 12 subfolders with the raw data from 12 participants</li> <li><strong>Subfolders:</strong> Each subfolder contains raw EEG recordings from one participant, subfolders names are:</li> <li>CI1, CI2, CI3, CI4, CI5, CI6, CI7, CI8, CI9, CI10, CI11, CI12</li> </ul> </li> <li><strong>Each participant subfolder contains four ‘.mat’ files:</strong> <ul> <li>Each ‘.mat’ file starts with the participant ID <ul> <li>CI1, CI2, CI3, CI4, CI5, CI6, CI7, CI8, CI9, CI10, CI11, CI12</li> </ul> </li> <li>Followed by the stimulus: 40 da</li> <li>Followed by the stimulus polarity <ul> <li>Pos for positive/standard</li> <li>Neg for negative (reversed polarity stimulus)</li> </ul> </li> <li>Followed by the ipsilateral/implanted ear <ul> <li>R for right ear</li> <li>L for left ear</li> </ul> </li> <li>Finally the recording number for that polarity <ul> <li>1 is the first recording</li> <li>2 is the second recording</li> </ul> </li> </ul> </li> <li><strong>Example ‘.mat’ file name:</strong> <ul> <li><em>CI1 40 da Neg R1.mat:</em> Participant number 1, reversed polarity stimulus, implanted ear – right ear, recording number one</li> <li><em>CI9 40 da Pos L2.mat:</em> Participant number 9, standard/positive polarity stimulus, implanted ear – left ear, recording number two</li> </ul> </li> <li><strong>Description of ‘.mat’ files that can be accessed and processed using MATLAB (MathWorks): </strong>Each ‘.mat’ file is a structure that contains the following fields: <ul> <li>The first nine fields are informational, for example: <ul> <li>xunits: ‘s’ indicates that the recording time window is in seconds, conversion to milliseconds would be required to plot the data in milliseconds</li> <li>start: ‘0’ indicates that both stimulus and recording start at 0 seconds</li> <li>points: <strong>13750</strong> is the number of sample points</li> <li>chans: 2 is the number of channels (channel 2 is the ipsilateral channel for participants with a Right CI, and channel 1 is the ipsilateral channel for participants with a Left CI)</li> <li>frames: 2500 is the number of epochs (repetitions)</li> </ul> </li> <li>The last filed <strong>‘values’</strong> is what contains the raw EEG data (13750x2x2500) <ul> <li><strong>13750 </strong>is the number of samples</li> <li><strong>2 </strong>is the number of channels (channel one is recorded from the left ear lobe (A1) and channel two is from the right ear lobe (A2))</li> <li><strong>2500 </strong>is the number of epochs</li> </ul> </li> </ul> </li> </ul> </li> </ul> <p><strong>Date of data collection: </strong>September 2017</p> <p> </p> <p><strong>Artificial-head artefact Recordings (BinKhamis et al Speech_ABR in CI artefact data.zip)</strong></p> <ul> <li><strong>This folder contains six artificial-head artefact recordings</strong> <ul> <li><strong>CI07_Artefact_40da_neg.mat</strong> <ul> <li>Artefact based on closest approximation to CI07's MAP</li> <li>Recorded in response to a reversed polarity (neg) 40 ms [da]</li> </ul> </li> <li><strong>CI07_Artefact_40da_pos.mat</strong> <ul> <li>Artefact based on closest approximation to CI07's MAP</li> <li>Recorded in response to a standard polarity (pos) 40 ms [da]</li> </ul> </li> <li><strong>CI08_Artefact_40da_neg.mat</strong> <ul> <li>Artefact based on closest approximation to CI08's MAP</li> <li>Recorded in response to a reversed polarity (neg) 40 ms [da]</li> </ul> </li> <li><strong>CI08_Artefact_40da_pos.mat</strong> <ul> <li>Artefact based on closest approximation to CI08's MAP</li> <li>Recorded in response to a standard polarity (pos) 40 ms [da]</li> </ul> </li> <li><strong>CI09_Artefact_40da_neg.mat</strong> <ul> <li>Artefact based on closest approximation to CI09's MAP</li> <li>Recorded in response to a reversed polarity (neg) 40 ms [da]</li> </ul> </li> <li><strong>CI09_Artefact_40da_pos.mat</strong> <ul> <li>Artefact based on closest approximation to CI09's MAP</li> <li>Recorded in response to a standard polarity (pos) 40 ms [da]<br> </li> </ul> </li> </ul> </li> <li><strong>Artefact recordings are in '.mat' format (MATLAB, MathWorks)</strong> <ul> <li>Each '.mat' file is a 10988x2500 matrix <ul> <li><strong>10988</strong> is the number of sample points</li> <li><strong>2500</strong> is the number of epochs (repetitions)</li> </ul> </li> </ul> </li> </ul> <p><strong>Artefacts recorded in: </strong>June 2018</p>
Dataset: ABR (ABR) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
A Trial Of Oral Chloral Hydrate Versus Intranasal Dexmedetomidine For Sedated Abr Exams
ClinicalTrials.gov study NCT01255904. IPD Sharing: Not stated. Countries: 1. Publications: 1.
ABRE Clinical Study of the Abre Venous Self-expanding Stent System
ClinicalTrials.gov study NCT03038438. IPD Sharing: NO. Countries: 6. Publications: 1.
Efficacy Study of ABR-215050 to Treat Prostate Cancer
ClinicalTrials.gov study NCT00560482. IPD Sharing: Not stated. Countries: 3. Publications: 2.
ABR-217620/Naptumomab Estafenatox With Interferon-alpha (IFN-alpha) Compared to IFN-alpha Alone in Patients With Advanced Renal Cell Carcinoma
ClinicalTrials.gov study NCT00420888. IPD Sharing: Not stated. Countries: 5. Publications: 2.
Relationship Between LS Chirp ABR and Speech-in-Noise Skills in Hidden Hearing Loss
ClinicalTrials.gov study NCT07230236. IPD Sharing: NO. Countries: 1. Publications: 7.
An Open-Label Study to Evaluate Biomarkers and Safety in Systemic Sclerosis Patients Treated With ABR-215757 (Paquinimod)
ClinicalTrials.gov study NCT01487551. IPD Sharing: Not stated. Countries: 3. Publications: 1.
MRA and ABR as Early Predictors of Bilirubin-Induced Neurologic Dysfunction in Full-term Jaundiced Neonates
ClinicalTrials.gov study NCT06018012. IPD Sharing: Not stated. Countries: 1. Publications: 6.
Assessment of Children by Speech ABR
ClinicalTrials.gov study NCT06061458. IPD Sharing: NO. Countries: 0. Publications: 7.
LCI-LUN-ABR-001: Carbo With Nab-Paclitaxel in Patients With Advanced NSCL Cancer
ClinicalTrials.gov study NCT02328105. IPD Sharing: Not stated. Countries: 1. Publications: 0.
ABR Characteristics and Salivary Cortisone Concentration in Noise-exposed Workers
ClinicalTrials.gov study NCT04183361. IPD Sharing: NO. Countries: 1. Publications: 0.
High Frequency ABR
ClinicalTrials.gov study NCT06161857. IPD Sharing: NO. Countries: 1. Publications: 0.
Intraoperative Electrically-evoked ABRs in Patients Undergoing Vestibular Schwannoma Surgery
ClinicalTrials.gov study NCT05248113. IPD Sharing: NO. Countries: 1. Publications: 0.
A Single Dose Metabolism and Mass Balance Study of 14C-ABR-215050 in Healthy Subjects
ClinicalTrials.gov study NCT01048203. IPD Sharing: Not stated. Countries: 1. Publications: 0.
ABR-217620 in Patients With Advanced Non-Small Cell Lung Cancer, Renal Clear Cell Carcinoma or Pancreatic Cancer
ClinicalTrials.gov study NCT00056537. IPD Sharing: Not stated. Countries: 3. Publications: 0.
Chloral Hydrate to Perform Auditory Brainstem Response (ABR)
ClinicalTrials.gov study NCT00949780. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Exploratory Study of Changes in Disease Activity and Biomarkers With ABR-215757 in Patients With Mild Active Systemic Lupus Erythematosus (SLE)
ClinicalTrials.gov study NCT00997100. IPD Sharing: Not stated. Countries: 2. Publications: 0.
A Pharmacokinetics and Safety Study of Augmentin ES-600 in Children With CAP and ABRS
ClinicalTrials.gov study NCT05340257. IPD Sharing: YES. Countries: 1. Publications: 0.
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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)
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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.