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45 results for “stimulus response”
Dataset: Auditory brainstem responses to varying stimulus presentation rates of 12 bat species in the wild and captivity
<p>Dataset for the Dataset Publication: Auditory brainstem responses to varying stimulus presentation rates of 12 bat species in the wild and captivity</p> <p>There are two datasets available: 1) the measured ABRs from Experiments 1 and 2 and 2) the extracted IOIs:</p> <ol> <li>ABR measurements:</li> </ol> <p>The filename of the ABR recordings from Experiment 1 include the species name, individual ID, sex, stimulus presentation rate (indicated as “modrate”) and recording day and time (yyyyddmm). Each recording file contains 256 measurements of the same stimulus and stimulus presentation rate in columns. An exemplary filename would be “Carollia_perspicillata_cp6male_modrate6_20190905T125903”, meaning that this is a recording of <em>Carollia perspicillata</em> individual cp6 of sex male, tested with a stimulus presentation rate of 6 Hz on the 09.05.2019, and the file was saved at 12:59:03 (the T between date and time stands for “Time”).</p> <p>The filename of the ABR recordings from Experiment 2 include the place of the Experiments (Bad Segeberg) and species name (<em>C. perspicillata</em>), individual ID, sex, stimulus presentation rate (indicated as “modrate”) and recording day and time (yyyymmdd; be aware, that the date format is different between Experiment 1 and 2). Each recording file contains 256 measurements of the same stimulus and stimulus presentation rate in columns. An exemplary filename would be “BadSegeberg_cper_1_male_modrate6_20200622T140952_stimulus_ST01_short ”, meaning that this is a recording of <em>Carollia perspicillata</em> individual cp6 of sex male, tested with a stimulus presentation rate of 6 Hz on the 09.05.2019, and the file was saved at 12:59:03 (the T between date and time stands for “Time”), the individual was presented with stimulus example 01 of the short stimuli.</p> <ol> <li>IOI recordings</li> </ol> <p>The recordings of Inter-Onset-Intervals are all in one single csv file and species and sequence ID is given per row, to be able to analyze the data further.</p> <p> </p>
RAW DATA form - Speech Auditory Brainstem Responses: Effects of Background, Stimulus Duration, Consonant-Vowel, and Number of Epochs
<p><strong>Speech Auditory Brainstem Responses: Effects of Background, Stimulus Duration, Consonant-Vowel, and Number of Epochs</strong></p> <p>Ghada BinKhamis, Agnès Léger, Steven L. Bell, Garreth Prendergast, Martin O’Driscoll, and Karolina Kluk</p> <p><strong>doi: 10.1097/AUD.0000000000000648</strong></p> <p><em>(<strong>Please site above article)</strong></em></p> <p> </p> <p><strong>Description of raw EEG (speech-ABR) data main folder, subfolders, and raw EEG files</strong></p> <p><strong>Folder Information</strong></p> <p><strong>Main folder:</strong></p> <ul> <li>Contains 144 subfolders with raw data from 12 participants</li> </ul> <p><strong>Subfolder names:</strong></p> <ul> <li>Each subfolder starts with the participant code <ul> <li>S01, S02, S03, S04, S05, S06, S07, S08, S09, S10, S11, S12</li> </ul> </li> </ul> <ul> <li>Next is the stimulus duration: <ul> <li>40ms, 50ms, 170ms</li> </ul> </li> <li>Next is the CV used to evoke speech-ABRs <ul> <li>ba, da, ga</li> </ul> </li> <li>And finally the background condition <ul> <li>quiet, noise</li> </ul> </li> </ul> <p><strong>Example subfolder names:</strong></p> <ul> <li><em>S01 40ms da noise:</em>Participant number 1, speech-ABRs in response to the 40ms [da] in background noise</li> <li><em>S07 170ms ga quiet:</em>Participant number 7, speech-ABRs in response to the 170ms [ga] in quiet</li> </ul> <p><strong>Each participant has 12 subfolders:</strong></p> <ol> <li>S__ 40ms da quiet </li> <li>S__ 40ms da noise</li> <li>S__ 50ms da quiet</li> <li>S__ 50ms da noise</li> <li>S__ 50ms ba quiet</li> <li>S__ 50ms ba noise</li> <li>S__ 50ms ga quiet</li> <li>S__ 50ms ga noise</li> <li>S__ 170ms da quiet</li> <li>S__ 170ms da noise</li> <li>S__ 170ms ba quiet</li> <li>S__ 170ms ga quiet</li> </ol> <p><strong>Each participant subfolder contains four ‘.mat’ files, ‘.mat’ file names:</strong></p> <ul> <li>Each ‘.mat’ file starts with the participant code <ul> <li>S01, S02, S03, S04, S05, S06, S07, S08, S09, S10, S11, S12 </li> </ul> </li> <li>Next is the stimulus duration: <ul> <li>40ms, 50ms, 170ms</li> </ul> </li> <li>Next is the CV used to evoke speech-ABRs <ul> <li>ba, da, ga</li> </ul> </li> <li>Next is ‘noise’ if background condition was noise</li> <li>Next is the stimulus polarity <ul> <li>Pos for positive/standard</li> <li>Neg for negative (reversed polarity stimulus)</li> </ul> </li> <li>And finally is the recording number for that polarity <ul> <li>R1 is the first recording</li> <li>R2 is the second recording</li> </ul> </li> </ul> <p><strong>Example ‘.mat’ file name:</strong></p> <ul> <li><em>S04 50 ba Neg R1:</em>Participant number 4, speech-ABR in response to the 50ms [ba] in quiet, reversed polarity stimulus, recording number one </li> <li><em>S02 40 da noise Pos R2:</em>Participant number 2, speech-ABR in response to the 40ms [da] in background noise, standard/positive stimulus, recording number two</li> </ul> <p> </p> <p><strong>File Information:</strong></p> <p><strong>Description of ‘.mat’ files that can be accessed and processed using MATLAB (MathWorks):</strong></p> <p>Each ‘.mat’ file is a structure that contains the following fields:</p> <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>1800</strong>is the number of sample points for speech-ABRs to the 40ms da, this number will be <strong>2200</strong>for the speech-ABRs to the 50ms stimuli (ba, da, ga), and <strong>4600</strong>for the speech-ABRs to the 170ms stimuli (ba, da, ga)</li> <li>chans: 2 is the number of channels (channel 2 is the ipsilateral channel)</li> <li>frames: 3000 is the number of epochs</li> </ul> </li> <li>The last filed <strong>‘values’</strong>is what contains the raw EEG data (1800x2x3000) <ul> <li><strong>1800 </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>3000 </strong>is the number of epochs</li> <li>The field <strong>‘values’ </strong>for speech-ABRs to the 50ms stimuli is <strong>2200x2x3000 </strong>and for speech-ABRs to the 170ms stimuli is <strong>4600x2x3000</strong>.</li> </ul> </li> <li>Stimulus starts at 0 seconds per epoch, pre-stimulus baseline may be extracted from the end of each epoch (i.e. before the next stimulus).</li> </ul> <p><strong>Data is recorded in Volts and will need to be converted to Micro Volts</strong></p> <p><strong>Date of data collection</strong>: May to November 2016</p>
Data for: Design of stimulus-responsive two-state hinge proteins
<p>Supplementary information for <strong>Design of stimulus-responsive two-state hinge proteins: </strong>Design scripts, design models, and aw DEER data. </p> <p> </p>
Effect of a Vibratory Stimulus on Mitigating Nociception-specific Responses to Skin Puncture in Neonates
ClinicalTrials.gov study NCT04050384. IPD Sharing: NO. Countries: 1. Publications: 4.
Neutron Reflectometry data and code for the manuscript entitled: 'Enrichment of charged monomers explains non-monotonic polymer volume fraction profiles of multi-stimulus responsive copolymer brushes'
<p>Contained in the zip file is the reduced neutron reflectometry data, the code used to analyse the data and jupyter notebooks used implement this code. Data is for proposal number PP4274, experiment number PPR6490 on the Platypus Reflectometer at ANSTO, Australia. The data is name with measurement numbers. The attached excel document describes the condition which corresponds to measurement number. </p>
Code for the paper "Visual experience orthogonalizes visual cortical stimulus responses via popula-tion code transformation"
<p>This repository contains data analysis code for the paper <a href="https://www.biorxiv.org/content/10.1101/2021.05.23.445338v4">Visual experience orthogonalizes visual cortical stimulus responses via population code transformation</a> by Failor, Carandini and Harris.</p> <p>The main data for the paper can be found <a href="https://figshare.com/articles/dataset/Data_from_paper_Visual_experience_orthogonalizes_visual_cortical_stimulus_responses_via_population_code_transformation_/27855423">here</a> in standardized <a href="https://www.ucl.ac.uk/cortexlab/open-neurophysiology-environment">ONE format</a>. Some of the analysis code in the current repository uses files in a non-standard internal format; data files in this format can be found <a href="https://doi.org/10.6084/m9.figshare.27890820.v1">here</a>.</p>
Aversive stimulus-tuned responses in the CA1 of the dorsal hippocampus (dataset 8)
<p>Multichannel electrophysiology data for the manuscript with the same title.</p> <p>(2306_24)</p>
Data from: One stimulus - two responses: host and parasite life history variation in response to environmental stress
Climate change stressors will place different selective pressures on both parasites and their hosts, forcing individuals to modify their life history strategies and altering the distribution and prevalence of disease. Few studies have investigated whether parasites are able to respond to host stress and respond by varying their reproductive schedules. Additionally, multiple environmental stressors can limit the ability of a host to respond adaptively to parasite infection. This study compared both host and parasite life history parameters in unstressed and drought-stressed environments using the human parasite, Schistosoma mansoni in its freshwater snail intermediate host. Snail hosts infected with the parasite demonstrated a significant reproductive burst during the pre-patent period (fecundity compensation), but that response was absent in a drought-stressed environment. This is the first report of the elimination of host fecundity compensation to parasitism when exposed to additional environmental stress. More surprisingly, we found that infections in drought-stressed snails had significantly higher parasite reproductive outputs than infections in unstressed snails. The finding suggests that climate change may alter the infection dynamics of this human parasite.
Aversive stimulus-tuned responses in the CA1 of the dorsal hippocampus (dataset 9)
<p>Multichannel electrophysiology data for the manuscript with the same title. (2305_20)</p>
Aversive stimulus-tuned responses in the CA1 of the dorsal hippocampus (dataset 11)
<p>Multichannel electrophysiology data for the manuscript with the same title.</p>
Aversive stimulus-tuned responses in the CA1 of the dorsal hippocampus (dataset 7)
<p>Multichannel electrophysiology data for the manuscript with the same title.</p>
Aversive stimulus-tuned responses in the CA1 of the dorsal hippocampus (dataset 4)
<p>Multichannel electrophysiology data for the manuscript with the same title.</p>
Aversive stimulus-tuned responses in the CA1 of the dorsal hippocampus (dataset 10)
<p>Multichannel electrophysiology data for the manuscript with the same title.</p>
Aversive stimulus-tuned responses in the CA1 of the dorsal hippocampus (dataset 2)
<p>Multichannel electrophysiology data for the manuscript with the same title.</p>
Aversive stimulus-tuned responses in the CA1 of the dorsal hippocampus (dataset 5)
<p>Multichannel electrophysiology data for the manuscript with the same title.</p>
Aversive stimulus-tuned responses in the CA1 of the dorsal hippocampus (dataset 12)
<p>Multichannel electrophysiology data for the manuscript with the same title.</p>
Aversive stimulus-tuned responses in the CA1 of the dorsal hippocampus (dataset 6)
<p>Multichannel electrophysiology data for the manuscript with the same title.</p>
Aversive stimulus-tuned responses in the CA1 of the dorsal hippocampus (dataset 1)
<p>Multichannel electrophysiology data for the manuscript with the same title.</p>
Data from: One stimulus - two responses: host and parasite life history variation in response to environmental stress
Open the record for dataset details and reuse information.
The SET-domain protein SUVR5 mediates H3K9me2 deposition and silencing at stimulus response genes in a DNA methylation independent manner [RNA-Seq]
GEO Series GSE58029. Arabidopsis thaliana. 4 samples. Type: Expression profiling by high throughput sequencing.
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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.