Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
30,334
datasets available to search
ShareScore release 0.9.0
Dataset results
30,334 results for “Responsiveness”
Research Software Engineers Supporting Science: Survey Responses
<p>Raw survey data for "Not everyone can use git: Research Software Engineers’ recommendations for scientist-centred software support (and what researchers think of them)", a talk given by Caroline Jay at RSE16, Manchester, UK.</p>
Binaural room impulse responses of a 5.0 surround setup for different listening positions
<p>This dataset contains binaural room impulse responses (BRIRs) measured at nine<br> different listening positions for a 5.0 surround setup in the listening room<br> Calypso in the Telefunken building of Technische Universität Berlin, Berlin,<br> Germany. The room has a volume of 83 m³ and a reverberation time RT60 of 0.17 s<br> at a frequency of 1 kHz. The measurment was done with Genelec 8030A loudspeakers<br> and repeated for the central listening positon with the larger Genelec 8250A<br> loudspeakers.</p> <p>"doc.zip" contains additional information for the measurement,<br> "*.sofa" are the actual BRIRs, one file for every listening position, where the<br> position is indicated by the X*-Y*-values. The file<br> `KEMAR_Calypso_Surround.sofa` contains all listening positions in one file.<br> In order to work with those files you need a SOFA API for your programming<br> language. For example, the one for Matlab can be found here:<br> https://github.com/sofacoustics/API_MO/releases/latest</p> <p>The BRIRs were with a head-orientation varying in the range of +-90° with 1°<br> resolution. Room shape and size, listener and sound source positions are shown<br> in `setup_calypso_surround_genelec8030A.pdf` and <br> `setup_calypso_surround_genelec8250A.pdf`.</p> <p>Directory "./photos" contains photographs of the measurement setup.</p> <p>Copyright 2016 Hagen Wierstorf</p> <p>Licensed under Creative Commons (CC-BY-4.0)<br> </p>
Leaf growth response to mild drought: natural variation sheds light on trait architecture
<p>Plant growth and crop yield are negatively affected by a reduction in water availability. However, a clear understanding of how growth is regulated under non-lethal drought conditions is lacking. Recent advances in genomics, phenomics and transcriptomics allow in-depth analysis of natural variation. In this study, we conducted a detailed screening of leaf growth responses to mild drought in a worldwide collection of <em>Arabidopsis thaliana</em> accessions. </p> <p>The raw phenotyping can be found in:<br> - cellularData.txt -> mature (23 days after stratification; DAS) leaf epidermis (third leaf) analysed for cell area, cell number, pavement cell area, pavement cell number, stomatal index and leaf area of the analysed leaf.</p> <p>- leaf3AreaMaturity.txt -> area of the third leaf at maturity (23DAs) in mm<sup>2.</sup></p> <p>- leaf3AreaProliferation.txt -> area of the third leaf at proliferation (last day of full cell proliferation; 8-10 DAS) in mm<sup>2</sup>.</p> <p>- rosetteArea Maturity.txt -> projected rosette area at maturity (22DAS)</p> <p>The phenotyping results have been normalised for batch effects ('experiment' in raw data)</p> <p>- allPhenotypesNormalised.txt -> contains the normalised data for all the measured phenotypes</p> <p>All datafiles indicate the accession name ('Accession'), the unique identifier for each accessions ('Ecotype_ID') as used in the 1001genomes project (www.1001genomes.org) and the treatment ('C' indicate well-watered plants, 'S' the mild-drought treated plants).</p> <p>These results and methodological results are described in Clauw et al. (2016, The Plant Cell).</p> <p>Citation:</p> <p><strong>Clauw, Pieter, Frederik Coppens, Arthur Korte, Dorota Herman, Bram Slabbinck, Stijn Dhondt, Twiggy Van Daele, et al. 2016. “Leaf Growth Response to Mild Drought: Natural Variation in Arabidopsis Sheds Light on Trait Architecture.” The Plant Cell, October. doi:10.1105/tpc.16.00483.</strong></p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p>
Binaural room impulse responses: Same listener-source-setup at different positions in the room
<p>To study the perception of room acoustics in dependency of the position in the room, measurements with KEMAR head-and-torso-simulator were conducted. The dummy head was placed at 5 different positions in a small conference room (10.3mx5.8mx3.1m, RT=0.65s). The source, a loudspeaker Genelec 1030A, was always positioned in the same relation to the listening position. BRIRs were measured with an azimuth-resolution of 5° from 0°-360°. This data allows a psychoacoustical comparison of the room acoustical properties at different positions in the room.</p>
Binaural room impulse responses: Same listener-source-setup at different positions in the room
<p>To study the perception of room acoustics in dependency of the position in the room, measurements with KEMAR head-and-torso-simulator were conducted. The dummy head was placed at 5 different positions in a small conference room (10.3mx5.8mx3.1m, RT=0.65s). The source, a loudspeaker Genelec 1030A, was always positioned in the same relation to the listening position. BRIRs were measured with an azimuth-resolution of 5° from 0°-360°. This data allows a psychoacoustical comparison of the room acoustical properties at different positions in the room.</p>
Binaural room impulse responses recorded with KEMAR in a small meeting room
<p>The binaural room impulse responses (BRIRs) were measured in the small meeting room Spirit at the<br> Telefunken-building of TU Berlin. They were measured for three different loudspeaker positions placed around a table. The head of the dummy head was rotated with a resolution of 1° ranging from -90° to 90°. The measurement equipment was the same as described in Wierstorf et al. [1]</p> <p>[1] Wierstorf, H., Geier, M., Raake, A., Spors, S. (2011) “A Free Database of Head-Related Impulse Response Measurements in the Horizontal Plane with Multiple Distances,” 130th AES Convention, eBrief 6</p>
RDA Publishing Workflows_ Research Workflows (Responses)
<p>Responses to online questionnaire / call for examples from Research Data Alliance Working Group on Publishing Research Data Workflows.</p> <p>These relate to the article 'Connecting data publication to the research workflow: a preliminary analysis' by the same authors, submitted to the International Digital Curation Conference, 2017</p>
PsPM-SCRV7: Skin conductance responses to white noise sounds in quick succession
<p>This dataset includes skin conductance response (SCR) measurements for each of 22 healthy unmedicated participants (11 males and 11 females aged 24.7+/-4.5 years) in response to white noise stimulation (1s length; 10ms ramp; ~85dB) under 5 experimental conditions: single stimuli, double stimuli with ISI of 2.5s, 5.5s or 9s and triple stimuli with ISIs randomly determined to be 2s, 5.5s or 9s.</p>
PsPM-SCRV2: Skin conductance responses to loud sounds at different inter trial intervals.
<p>This dataset includes skin conductance response (SCR) measurements, keypress responses and keypress response times to acoustic stimuli for each of 24 healthy unmedicated participants (12 males and 12 females aged 24+/-4.6 years, identical sample as in SCRV_1). The stimuli are 1s long white noise bursts at 95dB presented over headphones. Mean ISI is varied in a block-wise fashion (3s, 9s, 19s). The experiment follows a single factorial design with three levels of the mean ISI.</p>
PsPM-SCRV5: Skin conductance responses to auditory oddballs
<p>This dataset includes skin conductance response (SCR) measurements, keypress responses and keypress response times for each of 20 healthy unmedicated participants (10 males and 10 females aged 21.8+/-3.3 years) participating in an auditory oddball task with 10 oddballs. The stimuli are delivered every second via headphones as one of two sine tones (50ms length; 10ms ramp; ~75dB; 440 or 660 Hz). Subjects are instructed to press a computer key on hearing the oddball. Oddball tone is balanced across participants. ITI is selected randomly on each trial from 29s, 34s or 39s.</p>
PsPM-SCRV1: Skin conductance responses to aversive/neutral pictures at different inter trial intervals.
<p>This dataset includes skin conductance response (SCR) measurement, keypress responses and keypress response times to stimuli drawn from the International Affective Picture System for each of 24 healthy unmedicated participants (12 males and 12 females aged 27+/-4.6 years). The experiment used a 2x3 factorial design with the factors picture type (aversive, neutral), and mean ISI (3s, 9s, and 19s).</p> <p>Data are untrimmed. The referenced article used a trimmed version of the data (trim points: 0.5 s before first marker until 20 s after last marker). This detail is not mentioned in the methods section of the paper. </p> <p>See the readme file for more detail. Data are stored as .mat files for use with MATLAB in a format readable by the PsPM toolbox (pspm.sourceforge.net).</p> <p> </p> <p> </p>
PsPM-SCRV10: Skin conductance responses to loud sounds, simultanously recorded from palm, fingers and foot
<p>This dataset includes skin conductance response (SCR) measurements recorded from 3 locations (see section 'Data files' below) for each of 26 healthy unmedicated participants (12 males and 14 females aged 24.4+/-4.9 years) in response to an auditory stimulus (single white noise bursts, 1s length; 10ms ramp; ~85dB). Participants are asked to press a foot pedal upon hearing a stimulus.</p>
PsPM-SCRV4: Skin conductance responses in fear conditioning with visual CS and auditory US
<p>This dataset includes skin conductance response (SCR) measurements, CS and US information, keypress responses and keypress response times for each of 32 healthy unmedicated participants (16 males and 16 females aged 22.4+/-4.5 years) participating in a classical (Pavlovian) discriminant delay fear conditioning task. CS is a visual stimulus with variation in position on screen and color. Us is a 1s long white noise burst at 95dB presented over headphones. SOA between the CS and US is varied between participants to be 4, 10, or 16 s. The ITI is selected randomly on each trial from 14, 19, or 23 s</p>
PsPM-SCRV9: Skin conductance responses to visual targets
<p>This dataset includes skin conductance response (SCR) measurements for each of 22 healthy unmedicated participants (11 males and 11 females aged 24.7+/-4.5 years) participating in a visual detection task. Participants are requested to react by a keypress to a target visual stimulus (a red cross) embedded in a stream of distractors (white numbers). Stimuli are presented during 200ms and are spaced by a 800ms blank interval. A baseline period with distractors but no targets concludes the experiment. (This is in contrast to the methods description in Bach et al. (2010), according to which the baseline period was randomly either in the beginning or at the end of the experiment. This discrepancy was caused by an error in the code that controlled the experiment presentation.)</p>
PsPM-SCRV3: Skin conductance responses to loud sounds and aversive/neutral pictures.
<p>This dataset includes skin conductance response (SCR) measurements, keypress responses and keypress response times to acoustic and visual stimuli for each of 22 healthy unmedicated participants (11 males and 11 females aged 22+/-4.8 years. The auditory stimuli are 1s long white noise bursts at 95dB presented over headphones. Visual stimuli are aversive pictures drawn from the International Affective Picture System. ITI are selected randomly on each trial from 29s, 34s or 39s.</p>
PsPM-HRA1: Skin conductance responses in fear conditioning with visual CS and electrical US
<p>This dataset includes skin conductance response (SCR) measurements, CS and US information, keypress responses, keypress response times, key correctness and shock ratings for each of 20 healthy unmedicated participants (10 males and 10 females aged 22.2+/-4.0 years) participating in a classical (Pavlovian) discriminant delay fear conditioning task. CS is a visual stimulus appearing in the middle of the screen with variation in color. US is an electric shock as a 500 Hz current pulses train (individual pulse width: 0.5ms, varying current amplitudes (0.90+/-0.63 mA) train width:500 ms). SOA between the CS and US is 3.5 s. The ITI is randomly determined on each trial to be 7, 8, 9, 10 or 11 s. (This was correctly stated in Staib et al. (2015) but wrongly described in Bach et al. (2010).)</p>
Image database to supplement "Paulus, F.M. et al. Pain empathy but not surprise in response to unexpected action explains arousal related pupil dilation." (VIPER database)
<p>This folder contains the 282 images of the "VIPER" database (visually-induced pain empathy repository) along with ratings of 24 independent raters. Details are described in the following publication:</p> <p>Paulus, F.M., Müller-Pinzler, L., Walper, D., Marx, S., Hamschmidt, L., Rademacher, L., Krach, S., Einhäuser, W. Pain empathy but not surprise in response to unexpected action explains arousal related pupil dilation.</p> <p>The material can be used for scientific purposes, provided this reference is appropriately cited. Please check the download site to get the up-to-date reference at the time of your publication.</p> <p> </p> <p>Conditions are identified by the filename of the image, which consists of the number of the scenario (1-83) and the condition identifier:<br> pain<br> neut(ral)<br> mism(atch)<br> tool<br> Note that the tool and the mismatch condition do not exist for all scenarios.</p> <p>The file ratings_viper.csv contains the ratings. Each image corresponds to a line, the columns are as follows:<br> Column 1: Filename of the image<br> Column 2: Scenario number<br> Column 3: condition<br> Columns 4 through 27: ratings of the 24 individuals (between 0 and 4, NaN if there was no rating recorded)</p> <p>The file thumbnail_viper.jpg provides an overview over all images in the database.</p> <p>For ease of download, the images are available as tar-archive (allImages_viper.tar) and as inidivual files.</p> <p> </p>
Data from "Asymmetries in behavioral and neural responses to spectral cues demonstrate the generality of auditory looming bias"
<p>Supporting material for Baumgartner et al. (2017): "Asymmetries in behavioral and neural responses to spectral cues demonstrate the generality of auditory looming bias" in Proc Natl Acad Sci USA; www.pnas.org/cgi/doi/10.1073/pnas.1703247114</p>
Data and script for: A marker of biological age explains individual variation in the strength of the adult stress response
<p>Data and script for: A marker of biological age explains individual variation in the strength of the adult stress response.</p> <p>Comprises 2 CSV data files and one R script.</p>
Supplemental dataset to "Cloud sync in response to wave-like large-scale forcings"
<p>This dataset deposits the supplemental materials for the manuscript "Cloud sync in response to wave-like large-scale forcings".</p> <p><a href="https://zenodo.org/api/records/14164798/draft/files/math_note.pdf/content" target="_blank" rel="noopener noreferrer">math_note.pdf</a> A hand-written math derivation note for equations in the appendices. </p> <p><a href="https://zenodo.org/uploads/15304862" target="_blank" rel="noopener noreferrer">movie_wL_006_T24hours.avi</a> A movie of near-surface (z=25m) water vapor mixing ratio for the wL=0.006m/s and T=24 hours experiment (the reference CM1 simulation).</p> <p><a href="https://zenodo.org/api/records/15304862/draft/files/movie_wL_006_T18hours.avi/content" target="_blank" rel="noopener noreferrer">movie_wL_006_T18hours.avi</a> A movie of near-surface (z=25m) water vapor mixing ratio for the wL=0.006m/s and T=18 hours experiment.</p> <p><a href="https://zenodo.org/api/records/15304862/draft/files/movie_wL_006_T12hours.avi/content" target="_blank" rel="noopener noreferrer">movie_wL_006_T12hours.avi</a> A movie of near-surface (z=25m) water vapor mixing ratio for the wL=0.006m/s and T=12 hours experiment.</p> <p><a href="https://zenodo.org/api/records/15304862/draft/files/movie_wL_000.avi/content" target="_blank" rel="noopener noreferrer">movie_wL_000.avi</a> A movie of near-surface (z=25m) water vapor mixing ratio, without large-scale wave-like forcing.</p> <p><a href="https://zenodo.org/api/records/15304862/draft/files/input_sounding/content" target="_blank" rel="noopener noreferrer">input_sounding</a> The initial sounding for all CM1 simulations. </p> <p><a href="https://zenodo.org/api/records/15304862/draft/files/namelist.input/content" target="_blank" rel="noopener noreferrer">namelist.input</a> The namelist file for launching all CM1 simulations. </p> <p><a href="https://zenodo.org/api/records/15304862/draft/files/postprocessing_CM1.zip/content" target="_blank" rel="noopener noreferrer">postprocessing_CM1.zip</a> The postprocessing code of the CM1 simulations, including intermediate output files (.mat) in data postprocessing. </p> <p><a href="https://zenodo.org/api/records/14164798/draft/files/microscopic_model.zip/content" target="_blank" rel="noopener noreferrer">microscopic_model.zip</a> The MATLAB code for the microscopic model. </p> <p><a href="https://zenodo.org/api/records/15304862/draft/files/cm1.F/content" target="_blank" rel="noopener noreferrer">cm1.F</a> The CM1 script where the large-scale vertical velocity is programmed. You can copy it directly to your CM1/src/ path. </p> <p> </p> <p>Feel free to send an email to Dr. Hao Fu (haofu@nju.edu.cn) if you have any questions!</p> <p> </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.