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30,334 results for “Response”
Binaural room impulse responses recorded with KEMAR of a 19-channel linear loudspeaker array
<p>BRIRs for 19 different loudspeakers placed in room Calypso at the Telefunken-building of TU Berlin were measured. The room is a studio listening room. The 19 loudspeakers constituted a linear loudspeaker array with a inter-loudspeaker distance of roughly 15cm. The measurement was done with the KEMAR (type 45BA) with the corresponding large ears (type KB0065 and KB0066) and Fostex PM0.4 loudspeakers. The dummy head was rotated from −90° to 90° in 1° steps. The measurement was repeated with the head wearing AKG K601 open headphones.</p>
Binaural room impulse responses recorded with KEMAR in a mid-size lecture hall
<p>The binaural room impulse responses (BRIRs) were measured at the mid-size lecture room Auditorium 3 at the<br> Telefunken-building of TU Berlin. They were measured for six different loudspeaker positions. 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> </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>
Data from: Behavioural responses to potential dispersal cues in two economically important cereal-feeding eriophyoid mite species
<p>Variables:</p> <ol> <li>species (ABH = <em>Abacarus hystrix</em>, WCM = <em>Aceria tosichella</em> MT1 genetic lineage)</li> <li>variant - experimental treatment (type of dispersal cue): wind, an insect vector, presence of a fresh plant</li> <li>feeding - no. of feeding specimens</li> <li>walking - no. of walking specimens</li> <li>standing - no. of specimens standing vertically</li> <li>cha - no. of specimens forming chains</li> <li>mob - no. of specimens capable to move</li> <li>pop - no. of all specimens (including quiescent stages)</li> </ol>
Audio Commons WP2 - Responses to user survey (Deliverable 2.1)
<p>These are the responses gathered from the user survey described in Deliverable 2.1 of the Audio Commons project.</p> <p>The survey contained 24 questions asking creatives working in music industry about various subjects like demographics, workflows they use and metadata they would like to use when searching for new audio content on the Web.</p> <p>The file formResponses.csv contains the actual responses, column names in the first row, fields separated by commas and enclosed in double quotes if needed (e.g., a comma was in the value).</p> <p>The Timestamp column contains the response timestamp, in DD/MM/YYYY hh:mm:ss format. </p> <p>Each other column is named as one of the survey questions and contain the corresponding responses.</p> <p>For the relevant context, please check the Audio Commons web page (http://www.audiocommons.org/) and specifically Deliverable 2.1.</p>
Parental Engagement and Relationships (PEAR) in Early Childhood (EC). Impact study: Parents' responses
<p>Dataset with parents' quantitative responses collected within the impact study of the project Parental Engagement and Relationships (PEAR) in Early Childhood (EC).</p> <p>The file (.sav) can be opened using IBM SPSS Software. The file is named using the following naming convention: Project acronym_Date (YYYYMMDD)_Study_Type of data_Type of participant_Version number of the file.</p> <p>This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 890925.</p>
Dataset: Temporal recalibration in response to delayed visual feedback of active versus passive actions
<p>Data set related to the manuscript: </p><p>Kufer, K., Schmitter, C. V, Kircher, T., Straube, B., 2023. Temporal recalibration in response to delayed visual feedback of active versus passive actions: An fMRI study. https://doi.org/10.21203/RS.3.RS-3493865/V1</p><p>Abstract:</p><p>The brain can adapt its expectations about the relative timing of actions and their sensory outcomes in a process known as temporal recalibration. This might occur as the recalibration of timing between the outcome and (1) the motor act (sensorimotor) or (2) tactile/proprioceptive information (inter-sensory). This fMRI recalibration study investigated sensorimotor contributions to temporal recalibration by comparing active and passive conditions. Subjects were repeatedly exposed to delayed (150ms) or undelayed visual stimuli, triggered by active or passive button presses. Recalibration effects were tested in delay detection tasks, including visual and auditory outcomes. We showed that both modalities were affected by visual recalibration. However, an active advantage was observed only in visual conditions. Recalibration was generally associated with the left cerebellum (lobules IV, V and vermis) while action related activation (active > passive) occurred in the right middle/superior frontal gyrus during adaptation and test phases. Recalibration transferred from vision to audition was related to action specic activations in the cingulate cortex, the angular gyrus and left inferior frontal gyrus. Our data provide new insights in sensorimotor contributions to temporal recalibration via the superior frontal gyrus and inter-sensory contributions mediated by the cerebellum.</p>
Transpiration response under drought conditions of sedlings exposed to EMF
<p>Supplementary information of the manuscript: 10.1093/treephys/tpae029</p> <p>Dataset of seedlings exposed to ectomycorrhizal fungi (EMF) containing: transpiration rate and needle water potential time-series, fluorescence, dry biomass, and root morphology traits.</p> <p>Pine seedlings were exposed to EMF and then subject to drought stress for 10 days followed by 14 days of recovery. </p> <p>Transpiration was measured by weight loss, and needle water potential using a pressure chamber</p> <p>Fluorescence measurements were done at the National Plant Phenotyping Infrastructure (NaPPI) facilities at the University of Helsinki</p>
National Open Access Monitor Survey: Organisational Identity: Responses Dataset
<p>This dataset contains the response data from the 'National Open Access Monitor Survey: Organisational Identity which was carried out between 9th October and 9th November 2023 under the National Open Access Monitor Project: <a href="https://zenodo.org/doi/10.5281/zenodo.8420404">https://zenodo.org/doi/10.5281/zenodo.8420404</a></p><p><strong>This survey was run to:</strong></p><ul><li>compile a complete list of Irish research performing organisations (RPO) and research funding organisations (RFO) to be represented by the National Open Access Monitor.</li><li>ensure each organisation/entity is categorised correctly as an RPO or an RFO (or both), as applicable.</li><li>identify if an organisation/entity is publicly funded.</li><li>identify formally affiliated organisations/entities where <strong>all </strong>research outputs of one organisation/entity should also be included in the research outputs of another organisation/entity.</li><li>capture the persistent identifiers for RPOs, RFOs and publishers, to enable identification of relevant research outputs for the National Open Access Monitor.</li></ul><p><strong>To note: </strong></p><ul><li>Respondents' email addresses have been redacted.</li><li>Responses have been pseudonymised to the level of stakeholder-group e.g. Contributor A, Research Funding Organisation A, where requested by the participant in the participant consent form: <a href="https://doi.org/10.5281/zenodo.7589770">https://doi.org/10.5281/zenodo.7589770</a>.</li><li>Respondents were notified of the limits of pseudonymisation for this survey. Due to the nature and purpose of this survey on Organisational Identity, the identity of the organisation/entity could not be pseudonymised. Participants were advised only to participate if they were happy to do so under these conditions.</li><li>Survey responses were deleted by request of certain respondents. These responses are not included in these files.</li><li>Survey respondents were enabled to update their submissions. These changes are captured in the <i>NationalOpenAccessMonitorSurvey.OrganisationalIdentity.MasterChangeFile.</i></li></ul><p><strong>There are four files within in this dataset:</strong></p><p>- <i>Results.NationalOpenAccessMonitorSurvey.OrganisationalIdentity.README - </i>this PDF details the changes made to the raw data, as specified in the bullet points above and a description of the files within the dataset.</p><p>- <i>Results.NationalOpenAccessMonitorSurvey.OrganisationalIdentity.Pseudonymised.101123</i> - this is the original raw data, in csv format, as downloaded from the Online Surveys platform and subsequently pseudonymised and redacted.</p><p>- <i>NationalOpenAccessMonitorSurvey.OrganisationalIdentity.MasterChangeFile.101123 </i>- this is a change file, in csv format, which documents the changes which participants requested to be made to their submissions after they were received.</p><p>- R<i>esults.NationalOpenAccessMonitorSurvey.OrganisationalIdentity.Pseudonymised.Updated.101123 - </i>this is the original raw data, pseudonymised and redacted, with the requested changes implemented.</p><p><strong>Notes for data use:</strong></p><ul><li>The "affiliated organisations/entities" section of the survey was insufficiently described in the survey text. One-to-one follow-up and support was provided to clarify to respondents that questions 12 and 13 of the survey intended to identify where <strong>all </strong>research outputs of one organisation/entity should appear on that organisation's/entities' own RPO or RFO dashboard within the National Open Access Monitor, and <strong>also </strong>on the dashboard of another organisation/entity. </li><li>Survey respondents were notified in the introduction section to the "affiliated organisations/entities" section that "<strong>only where all entities agree there is a formal relationship in place</strong> that should be reflected in the Monitor will the link be implemented". Therefore, for the National Open Access Monitor project, only where both parties have asserted that <strong>all </strong>research outputs of one organisation/entity should also appear on the dashboard of another organisation/entity, will it be considered validated and implemented. </li><li>The geographic scope of the National Open Access Monitor Project is the Republic of Ireland. Where respondent's RPO or RFO organisations/entities are based outside the Republic of Ireland, or where respondents stated affiliations with overseas organisations/entities, they will not be actioned or implemented. To note: the survey invited responses from international <i>publishers</i> to enable filtering functionality by publisher within the National Open Access Monitor, these responses are <i>not </i>out of scope. </li></ul><p>-----------------------</p><p>The context for the survey is detailed in the National Open Access Monitor Project Plan: <a href="https://doi.org/10.5281/zenodo.7331431">https://doi.org/10.5281/zenodo.7331431</a>, the National Open Access Monitor Advisory Group Meeting Minutes, 18th September 2023: <a href="https://zenodo.org/doi/10.5281/zenodo.8405472">https://zenodo.org/doi/10.5281/zenodo.8405472</a> and the Developing the National Open Access Monitor, Ireland: Stakeholder Webinar, 22nd September 2023: <a href="https://zenodo.org/doi/10.5281/zenodo.8370578">https://zenodo.org/doi/10.5281/zenodo.8370578.</a></p><p>This project is managed by <a href="http://www.irel.ie/">IReL </a>and has received funding from Ireland's National Open Research Forum under the NORF Open Research Fund. <a href="https://norf.ie/funding/">https://norf.ie/funding/ </a><a href="https://norf.ie/orf-projects-announcement/">https://norf.ie/orf-projects-announcement/</a></p>
Dataset for "Biocompatible Rhamnolipid Self-Assemblies with pH-Responsive Antimicrobial Activity"
<p>This dataset provides the raw data supporting the paper: Biocompatible Rhamnolipid Self-Assemblies with pH-Responsive Antimicrobial Activity. It comprises SAXS data (Figure 2, Figure 3, Figure 4, Figure 5, Figure S2 and Figure S4), cryo-TEM images (Figure 2D, Figure 4D, Figure 5D, Figure 5E), Zeta-potential measurment (Figure 7), DLS data (Figure 8, Figure S5, Figure S6, Figure S7, Figure S8 and Table S2), Antimicrobial activity data (Figure 9, Table 1, Figure S9, Figure S10, Figure S12, Figure S13, Figure S14, Figure S15, Figure S16 and Table S3), Cytotoxicity data (Figure 10), Colloidal stability images (Figure S1 and Figure S3) and Biofilm inhibition and biofilm eradication assay (Figure S11).</p><p> </p>
National Open Access Monitor, Draft Report: Stakeholder Feedback: Response Dataset
<p>This dataset contains the response data from the 'National Open Access Monitor, Draft Report: Stakeholder Feedback' Form which was open from 16th to 30th November 2023 under the National Open Access Monitor Project. A PDF reference copy of the Feedback Form is available here: <a href="https://zenodo.org/doi/10.5281/zenodo.10141988">https://zenodo.org/doi/10.5281/zenodo.10141988</a></p><p>The purpose of the form was to capture stakeholder feedback on the National Open Access Monitor, Ireland Draft Report, for actioning by OpenAIRE in the final National Open Access Monitor Report to be delivered in January 2024. The draft is an interim report, and includes reference to the initial feedback from IReL and the National Open Access Monitor Project Advisory Group.</p><p><strong>To note: </strong></p><ul><li>Responses have been pseudonymised to the level of stakeholder-group e.g. Contributor I, Research Performing Organisation I, where requested by the participant in the participant consent form: <a href="https://doi.org/10.5281/zenodo.7589770">https://doi.org/10.5281/zenodo.7589770</a></li><li>This is the original raw data file, in csv format, as downloaded from the Online Surveys platform and subsequently pseudonymised.</li></ul><p>-----------------------</p><p>The context for the feedback form is detailed in the National Open Access Monitor Project Plan: <a href="https://doi.org/10.5281/zenodo.7331431">https://doi.org/10.5281/zenodo.7331431</a>, the National Open Access Monitor Advisory Group Meeting Minutes, 27th October 2023: <a href="https://zenodo.org/doi/10.5281/zenodo.10105023 ">https://zenodo.org/doi/10.5281/zenodo.10105023 </a>and the OpenAIRE National Open Access Monitor Ireland, Draft Report: <a href="https://zenodo.org/doi/10.5281/zenodo.10136295">https://zenodo.org/doi/10.5281/zenodo.10136295</a></p><p>This project is managed by <a href="http://www.irel.ie/">IReL </a>and has received funding from Ireland's National Open Research Forum under the NORF Open Research Fund. <a href="https://norf.ie/funding/">https://norf.ie/funding/ </a><a href="https://norf.ie/orf-projects-announcement/">https://norf.ie/orf-projects-announcement/</a></p>
Dataset and supplementary files - Behavioral response of chub (Squalius cephalus), barbel (Barbus barbus) and brown trout (Salmo trutta) to pulsed direct current electric fields and resulting optimal waveform for use at electrified bar racks
<p><strong>Behavior Library.zip: </strong>For each species and behavior observed during the experiments an exemplary video is provided. </p><p><strong>Behavior_all.pdf: </strong>Additional plots showing the thresholds for the first time each individual behavior was observed for all fish species and tested waveforms</p><p><strong>Species.pdf: </strong>Additional plot allowing direct comparison of observed thresholds for the tested species when subjected to different waveforms. </p><p><strong>data.csv:</strong> All data necessary to reevaluate the conducted experiments. The dataset consists of</p><ul><li>Experiment ID</li><li>waveform - indicating the set of electrical parameters used</li><li>fish species and fish id </li><li>behavior - observed behavior</li><li>time from and time to - time in s after the start of the experiment that a behavior was started and ended respectively</li><li>type - point or interval referring to whether a behavior is considered instantaneous or continuous</li><li>voltage - applied voltage at the start of the given behavior</li><li>experiment_timestamp - date and time of the start of the experiment</li><li>breathing rate start - breathing rate at the start of the experiment</li><li>water conductivity - water conductivity at a reference temperature of 25°C [muS/cm]</li><li>water temperature [°C]</li><li>breathing rate end - breathing rate at the end of the experiment</li><li>meta behavior - assigned category of meta behavior based on the observe behavior category</li><li>standard length, total length and height - standard length, total length and height of the tested fish in [mm]</li><li>volume - calculated fish volume based on the measured length and height and an assumed elliptical form of the fish</li><li>Fangdatum - Date of catch</li><li>t.Pulse - pulse length of the tested waveform [ms]</li><li>Frequency - Frequency of the tested waveform</li><li>N.Pulses.Group - Number of pulses per group of pulses for the waveform pattern</li><li>t.Gap - time between two pulses within a group of pulses [ms]</li><li>DutyCycle - Percentage of time current is flowing for a given waveform. Calculated based on the waveform parameters</li><li>usage - first, second or third time a fish was used in the experiments. </li><li>field strength - field strength at the time of this behavior calculated based on the applied voltage</li><li>c_w ambient water conductivity [muS/cm]</li><li>p_d - power density calculated based on the field strength and the ambient water conductivity</li><li>p_t - power transferred to the fish calculated based on the field strength, the ambient water conductivity and an assumed conductivity of the fish of 115 muS/cm</li></ul><p> </p><p> </p>
PsPM-SCB2D: Skin conductance response from a delay fear conditioning task with auditory CS (monophones/triads)
<p>This dataset includes skin conductance response (SCR) for 22 healthy unmedicated participants (15 females and 7 males, age range: 18 - 32 years, mean age: 22.1 +/- 3.4) participating in a classical (Pavlovian) discriminant delay fear conditioning experiment with auditory CS. Also included are CS and US information, and ratings of CS after the experiment. Simple and complex CS were simple sine tones (4 s), and triads in root position or in first inversion, respectively. US was a train of electric square pulses delivered with a constant current stimulator (Digitimer DS7A, Digitimer, Welwyn Garden City, UK) on participants' dominant forearm through a pin-cathode/ring-anode configuration. After the fear conditioning task, participants were first asked to report their subjective estimate of how likely they were to receive a shock after a given CS in the future, on a visual analogue scale of 0-100. Then they were asked to rate pairs of CS sounds with respect to which of the two stimuli they liked less.</p>
Experimental load-displacement response of a stainless steel specimen under cyclic loading
<p>Experimental load-displacement data was obtained by testing a autenitic stainless steel RHS member under cyclic bending around its major axis following a cantilever loading scheme. The database is comprised of the horizontal displacement measured by a string potentiometer attached at the free end of the specimen and the horizontal force introduced by the actuator. </p> <p>The data corresponds to the specimen named S1-L1, which was an austenitic stainless steel RHS specimen, with a cross-section S1 (120 × 80 × 6 mm) and an effective length of L1 = 1650 mm. </p> <p>The full details of the experimental test can be found in: González-de-León I., Nastri E., Arrayago I., Montuori R., Piluso V., Real E. Experimental study on stainless steel tubular members under cyclic loading. Thin-Walled Structures 181, 109969, 2022. DOI: https://doi.org/10.1016/j.tws.2022.109969.</p>
Data set of a thermal response test on a planar trench collector
<p>This data set provides three different temperature measurements (PT100, fiber optic measurement, thermistors), as well as the determination of the volumetric water content and the bulk electrical conductivity of the subsurface. During the published period, a thermal response test was carried out. On April 28th, at 15:25, the fluid circulation began, and heat injection started at 15:38 on April 28th and continued until May 3rd. The test was conducted with a constant volume flow of 1.00 m³/h and a constant heat injection rate of 0.88 kW.</p>
Dataset for Figure 2 in 'Tales on co-response-ability in times of environmental polarization'
<p>This dataset contains part of the asnwers to surveys collecting feedback from participants in four participatory workshops within the project SharedDialogues (shareddialogues.org), focussed on exploring the environmnetal crisis of the Mar Menor lagoon (Murcia, Spain). It has been used for generating Figure 2 in the paper entitled 'Tales on co-response-ability in times of environmental polarization' published in the journal Ecology&Society. Participants were asked to rate in a likert scale 1-5 to what extent they personally felt 'safe', 'listened by others', 'understood by others', 'confronted', and to what extent they felt the overall affective tonality of the workshop as 'respectful', 'collaborative', 'tense'. Answers were anonymous and number of participants participating and answering the survey varied from workshop to workshop. This evaluation method has been adapted from: <span><span>Brugnach, M. de Waard, S. Dubois, D. Farolfi, S. 2021. Relational quality and uncertainty in common pool water management: an exploratory lab experiment. Sci Rep 11, 15188. https://doi.org/10.1038/s41598-021-94517-6</span></span></p> <div> <div> <div> <div> <div> <div> <div> <p><span>This work has been founded by UKRI Research England under the Participatory Research funding stream; the Ministry of Science and Innovation through the Juan de la Cierva (MCIN/AEI/10.13039/501100011033) and Ramón y Cajal (RYC2021- 031626-I); the María de Maeztu program for accreditation of excellence 2023-2027 (CEX2021- 001201-M); the Basque Government through the BERC 2022-2025 program; and the European Commission through the Horizon 2020 research and innovation program, Marie Skłodowska-Curie Training and Innovation Network ‘NEWAVE – Next Water Governance’ under funding agreement No. 861509.</span></p> </div> </div> </div> </div> </div> </div> </div>
Dataset-Response strategies to acute and chronic environmental stress in the arctic breeding Lapland longspur (Calcarius lapponicus)
<p>This is the dataset presenting the phenotypic measurements in the paper Response strategies to acute and chronic environmental stress in the arctic breeding Lapland longspur (<em>Calcarius lapponicus</em>).</p>
Room Impulse Response Dataset: Niels Bohr Institute - Auditorium A
<h1>Dataset description</h1> <p>This dataset is comprised of acoustic Room Impulse Response (RIR) measurements using different measurement equipment at the iconic Auditorium A, in the Niels Bohr Institute, Copenhagen. The measurements were carried out during the days July 22<sup>nd</sup> & 23<sup>rd</sup>, 2023.</p> <p>The dataset includes:</p> <ul> <li><strong><em>rir_NBI_line.h5</em></strong> – Sequential measurements over a line using a robotic arm (UR5, Universal Robots) for microphone positioning.</li> <li><strong><em>rir_NBI_em32.h5</em></strong> – Distributed RIRs measured with the 32-channel spherical microphone array Eigenmike (em32, mh Acoustics).</li> <li><strong><em>rir_NBI_em32.sofa – </em></strong>SOFA format of the previous file.</li> </ul> <h2>The room</h2> <p>The Auditorium has a volume of approximately 126 m3 and is roughly rectangular with a tilted floor for the audience. The room was fully furnished with classroom equipment when measured. On one side wall, there are several interspaced windows.</p> <p>The reverberation time in octave bands is:</p> <table> <tbody> <tr> <td> <p>F (Hz)</p> </td> <td> <p>32</p> </td> <td> <p>63</p> </td> <td> <p>126</p> </td> <td> <p>250</p> </td> <td> <p>500</p> </td> <td> <p>1k</p> </td> <td> <p>2k</p> </td> <td> <p>4k</p> </td> <td> <p>8k</p> </td> <td> <p>16k</p> </td> </tr> <tr> <td> <p>T30 (s)</p> </td> <td> <p>0.75</p> </td> <td> <p>0.74</p> </td> <td> <p>0.61</p> </td> <td> <p>0.72</p> </td> <td> <p>0.80</p> </td> <td> <p>0.88</p> </td> <td> <p>1.03</p> </td> <td> <p>1.05</p> </td> <td> <p>0.85</p> </td> <td> <p>0.58</p> </td> </tr> </tbody> </table> <h2>The measurements</h2> <p>All measurements were obtained using an exponential sweep covering the frequencies 20-20k Hz. The specific duration of the sweep varies with the measurement setup and can be found in the corresponding file. The sampling rate is 48 kHz.</p> <p>The source is a two-way loudspeaker (BM6, Dynaudio), and its position was kept constant throughout the entire measurement campaign. The remaining equipment utilised was an audio interface (Fireface UCX, RME), a loudspeaker amplifier, a microphone amplifier (Nexus, B&K).</p> <p>The atmospheric conditions for each set of measurements are included in the corresponding file.</p> <h1>Related publications</h1> <p>This dataset is linked to the publication:</p> <ul> <li>Figueroa-Duran A. & Fernandez-Grande E., <em>Reconstruction of reverberant sound fields over large spatial domains. </em>In <em>J. Acoust. Soc. Am. (2025), </em><a href="https://doi.org/10.1121/10.0034833" target="_blank" rel="noopener">https://doi.org/10.1121/10.0034833</a></li> </ul> <h1>Contact</h1> <p>For any questions, please address them to <strong><em>anfig@dtu.dk</em></strong>.</p>
Global comparative structural analysis of responses to protein phosphorylation
<p>This contains the structures and data used for the structural analysis presented in <em>Global comparative structural analysis of responses to protein phosphorylation</em> (Correa Marrero et al., https://doi.org/10.1101/2024.10.18.617420 ). To summarize:</p> <ul> <li>filtered_df.xlsx: dataset of paired phosphorylated structures and their non-phosphorylated counterparts. Each row contains one such pair.</li> <li>chains_by_protein.zip: each directory (named with a UniProt ID) contains the used structures that form the basis for the analysis. The structures are in PDB format, in a separate directory for each protein in the dataset. The exception is the annotation_per_psite directory, which contains annotation as a csv file for each phosphosite.</li> <li>extracted_domains.zip: contains structures of Pfam domains (extracted from the previous dataset) in PDB format. Each filename follows the format {PDB ID}_{Chain ID}_{Pfam domain ID}. The domain_coverage.csv file lists the domain coverage of the structure, as well as its length compared to the whole sequence and the whole structure it was extracted from. These are the structures used for the analysis shown in Fig. 1 f-h.</li> <li>extracted_pfam_domains.zip: contains structures of a broader set Pfam domain structures (the whole set of Pfam domains found to contain a phosphosite in filtered_df.csv) in PDB format. Each directory (named with the Pfam ID) contains the structures. merged_pfam_data.tsv contains metadata about the structures (structure quality, coverage of the domain structure, phosphosite location...). These are the structures used for the analysis shown in Fig. 2.</li> </ul>
Highly parallel genomic selection response in replicated Drosophila melanogaster populations with reduced genetic variation
<p>Many adaptive traits are polygenic and frequently more loci contributing to the phenotype are segregating than needed to express the phenotypic optimum. Experimental evolution with replicated populations adapting to a new controlled environment provides a powerful approach to study polygenic adaptation. Since genetic redundancy often results in non-parallel selection responses among replicates, we propose a modified Evolve and Resequence (E&R) design that maximizes the similarity among replicates. Rather than starting from many founders, we only use two inbred <em>Drosophila melanogaster</em>strains and expose them to a very extreme, hot temperature environment (29°C). After 20 generations, we detect many genomic regions with a strong, highly parallel selection response in 10 evolved replicates. The X chromosome has a more pronounced selection response than the autosomes, which may be attributed to dominance effects. Furthermore, we find that the median selection coefficient for all chromosomes is higher in our two-genotype experiment than in classic E&R studies. Since two random genomes harbor sufficient variation for adaptive responses, we propose that this approach is particularly well-suited for the analysis of polygenic adaptation.</p> <p>See the README.txt file to get a description of the uploaded files. Scripts.zip contains annotated command lines and scripts for the project (see internal README.txt file).</p>
Sensor Response Files for the Relativistic Proton Spectrometer aboard NASA's Van Allen Probes
<p>This data set provides the NASA Van Allen Probes Relativistic Proton Spectrometer (RPS) sensor response function files. These files provide the sensor’s response to protons and electrons as a function of energy and angle of incidence.</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.