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30,334 results for “Responsiveness”
Artificial Curators / CuratorBot - Questions, Reactions, Survey Responses
<p>Three datasets captured through the CuratorBot digital demo during 2022 and 2023:</p> <ol> <li>questions posed to the CuratorBot and responses generated by the system</li> <li>quick like/dislike (thumbs-up/thumbs-down) feedback given by users to specific responses</li> <li>anonymous user responses to a survey attached to the CuratorBot</li> </ol>
Sweet Area Impulse Response Database
<p>A dataset of acoustic impulse responses measured in the Immersive Media Lab (https://www.ikt.uni-hannover.de/de/institut/ausstattung/immersive-media-lab) listening room at the Institute of Communications Technology.</p> <p>Measurements were taken using a Neumann KU 100 dummy head and an mh acoustics em32 Eigenmike microphone array. The arrays were mounted on a robot arm and acoustic impulse responses in a spatial grid around the loudspeaker setup's sweet spot were measured using the ITA toolbox (https://www.ita-toolbox.org/). The setup consists of 42 loudspeakers.</p> <p>Version 1.0 of the dataset uses a custom Matlab struct format relying on itaAudio objects for storing the data. Conversion to the standardized SOFA format is planned.</p> <p>Details on the measurement setup are given in:</p> <blockquote> <p>Roman Kiyan, Stephan Preihs, Jürgen Peissig, “Robokopp: Robotic Setup for Automated Sweet Spot Measurements with Head Simulators and Microphone Arrays,” in Fortschritte der Akustik - DAGA 2024 (http://pub.dega-akustik.de/DAGA_2024/konferenz?article=614)</p> </blockquote> <p>The dataset is the basis of the analyses of the following papers:</p> <blockquote> <p>Roman Kiyan, Stephan Preihs, Jürgen Peissig, “Determining the immersion sweet area in multichannel loudspeaker reproduction using spatial sound field features,” presented at the Audio Engineering Society Convention 156 (http://aes2.org/publications/elibrary-page/?id=22520)</p> </blockquote> <blockquote> <p>Roman Kiyan, Stephan Preihs, Jürgen Peissig, “Signal dependencies of the immersion sweet area in multichannel loudspeaker reproduction,” TBA.</p> </blockquote>
Spatial Room Impulse Response Dataset: A Robot's Journey Through Coupled Rooms of a Reverberant University Building
<p>This is a dataset of Spatial Room Impulse Responses obtained by a robot equipped with a microphone array.</p> <p>The measurements were conducted in a reverberant university building, the <em>Helmholtz</em> building at<em> Technische Universität Ilmenau</em> (coordinates: N50.6815788133375°, E10.939294371903342°). All the floors in the building are covered with bare stone tiles, the walls are not acoustically treated. Only the hallway has a suspended acoustic ceiling. The file "Pictures Overview.jpg" shows some impressions of the building. Note that the floorplan only shows parts of the building that were connected to the measurement area by open doors.</p> <p>The area covered by the robot is in a hallway on the top floor (2nd floor starting with ground floor) with two stairwells at both ends. To specifically study the behavior of coupled rooms and occluded sources, the sound sources were placed in adjacent sections of the building and on multiple floors. See the file "Measurement Overview.jpg" for an overview of the source positions and the receiver areas covered. Areas 2 and 3 were captured with a higher spatial resolution than area 1 to analyze the transition between the hallway and the staircases. The receiver positions form a uniform grid, the pitch between positions is shown in the following table. Due to time and technical constraints, only a maximum of 3 sources were used per run, so there are not all combinations of sources and receiver areas. Refer to the following table to see which source was active for which area and which zip file contains the according data:</p> <table> <tbody> <tr> <th>Filename</th> <th>Sources</th> <th>Receiver Area</th> <th>Receiver Positions [ct]</th> <th>Pitch [cm]</th> </tr> </tbody> <tbody> <tr> <td>Helmholtzbau_OG2_HM_HS.zip</td> <td>HM, HS</td> <td>Area 1</td> <td>143</td> <td>50</td> </tr> <tr> <td>Helmholtzbau_OG2_SML_SSL_SSU.zip</td> <td>SML, SSL, SSU</td> <td>Area 1</td> <td>154</td> <td>50</td> </tr> <tr> <td>Helmholtzbau_OG2_SMU_SML_HM.zip</td> <td>SMU, SML, HM</td> <td>Area 2</td> <td>88</td> <td>25</td> </tr> <tr> <td>Helmholtzbau_OG2_SSU_SSL_HS.zip</td> <td>SSU, SSL, HS</td> <td>Area 3</td> <td>92</td> <td>25</td> </tr> </tbody> </table> <p>As an example "Plot Reverberation Time.jpg" shows the reverberation times for all measured positions of Area 1 and 2 with speaker HM.</p>
Fig 2 in Docosahexaenoic Acid (DHA) Reduces LPSInduced Inflammatory Response Via ATF3 Transcription Factor and Stimulates Src/ Syk Signaling-Dependent Phagocytosis in Microglia
<p>Proteome profiler arrays (A and B) and expression of ATF3 gene (C) in microglia. Representative array membranes (A) and the relative levels of cytokines and chemokines (B) in microglia preincubated with 20 μM DHA and next treated with 10 ng/ml LPS.</p>
Fig 1 in Docosahexaenoic Acid (DHA) Reduces LPSInduced Inflammatory Response Via ATF3 Transcription Factor and Stimulates Src/ Syk Signaling-Dependent Phagocytosis in Microglia
<p>Viability of microglia incubated with various concentration of DHA for 12 h (A) and LPS for 2.5 h (B). Viability of microglia incubated with 20 μM DHA followed by 10 ng/ ml LPS treatment (C).</p>
Japanese Small-scale fishers adaptive capacity and furthest response to climate change
<p>The database contains data collected from 25 communities along the western coast of Shikoku, Japan, between January and March 2023. It includes values of adaptive capacity indicators aligned with the adaptive capacity domains outlined by Cinner and Barnes (2019). Additionally, the dataset captures fishers' responses to climate change, following the adaptation pathways proposed by Fedele et al. (2019) and Ojea et al. (2020).<br><br>References: </p> <p>Fedele, G., Donatti, C. I., Harvey, C. A., Hannah, L. & Hole, D. G. Transformative adaptation to climate change for sustainable social-ecological systems. <em>Environmental Science & Policy</em> <strong>101</strong>, 116–125 (2019).</p> <p>Cinner, J. E. & Barnes, M. L. Social Dimensions of Resilience in Social-Ecological Systems. <em>One Earth</em> <strong>1</strong>, 51–56 (2019).</p> <p>Ojea, E., Lester, S. E. & Salgueiro-Otero, D. Adaptation of Fishing Communities to Climate-Driven Shifts in Target Species. One Earth 2, 544–556 (2020).</p>
Main output data used in "Exploring the Greenland Ice Sheet's response to future atmospheric warming-threshold scenarios over 200 years" (Delhasse et al., 2025)
<p>Outputs used in:</p> <p>Delhasse, A., Kittel, C. and Beckmann, J.: Exploring the Greenland Ice Sheet's response to future atmospheric warming-threshold scenarios over 200 years, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2025-709, 2025.</p> <p>Each MAR-PISM coupling experiment (1991-2200) is related to the Greenland warming over a 10-year period compared to our reference period (1961-1990) at which climate is stabilized until 2200. The last experiment is the Reverse one, where the climate is year by year reversed after 2100 to go back to 2000-climate as forcing in 2200, the last year of the simulation. Please refer to Delhasse et al. (2024) for the coupling description.</p> <div> <table> <tbody> <tr> <th> <p>Experiment </p> </th> <th> <p>Exact Greenland warming at 600hPa (°C)</p> </th> <th> <p>10-years period</p> </th> </tr> </tbody> <tbody> <tr> <td> <p>CTRL</p> </td> <td> <p>+0.00</p> </td> <td> <p>1961-1990</p> </td> </tr> <tr> <td> <p>+1</p> </td> <td> <p>+1.04</p> </td> <td> <p>1995-2004</p> </td> </tr> <tr> <td> <p>+1.5</p> </td> <td> <p>+1.51</p> </td> <td> <p>2010-2019</p> </td> </tr> <tr> <td> <p>+2</p> </td> <td> <p>+2.04</p> </td> <td> <p>2021-2030</p> </td> </tr> <tr> <td> <p>+3</p> </td> <td> <p>+2.98</p> </td> <td> <p>2040-2049</p> </td> </tr> <tr> <td> <p>+4</p> </td> <td> <p>+4.04</p> </td> <td> <p>2058-2067</p> </td> </tr> <tr> <td> <p>+5</p> </td> <td> <p>+5.00</p> </td> <td> <p>2074-2083</p> </td> </tr> <tr> <td> <p>+6</p> </td> <td> <p>+5.96</p> </td> <td> <p>2083-2092</p> </td> </tr> <tr> <td> <p>+7</p> </td> <td> <p>+6.85</p> </td> <td> <p>2091-2100</p> </td> </tr> </tbody> </table> </div> <p><strong>Table 1. Greenland warmings at 600hPa since 1961-1990 used to define our experiments and the corresponding 10-years periods over which warmings are determined. </strong></p> <p>For each experiment, 3 types of output are available (where <em>EXP</em> corresponds to the name of the experiment as referenced in Table 1) : </p> <ul> <li> <p>EXP-PISM-thk-msk-1991-2200.nc: contain yearly ice thickness (THK) and ice mask (MASK) as simulated by PISM (PISM grid, 4.5 km);</p> </li> <li> <p>EXP-SMB-ME-RU-MAPI-CESM2-1991-2200.nc: contain yearly SMB (surface mass balance), ME (melt), and RU (runoff) on the MAR grid (25 km);</p> </li> <li> <p>EXP-ts-MB-D-SMB-1991-2200.nc: contain time series of the total MB (mass balance), D (discharge), and SMB (surface mass balance) integrated over the all ice sheet mask from PISM.</p> </li> </ul> <p>The MAR code used in this dataset is tagged as v3.11.3 on https://gitlab.com/Mar-Group/MARv3/-/tree/v3.11.3 (last access: 24 October 2024) (MARTeam, 2024). The PISM code used is tagged as PISMv1.2.2 on <a href="https://github.com/pism/pism/releases/tag/v1.2.2">https://github.com/pism/pism/releases/tag/v1.2.2</a> (last access: 24 October 2024).</p> <p>If you need other variables from MAR or PISM, send us an email (alison.delhasse@uliege.be) and we will be glad to help you. We will also be happy to share the scripts we have developed to analyze the outputs and make the figures in this paper if needed. Please cite the paper if you use these MAR-PISM outputs.<br><br><strong><em>Data usage notice:</em></strong></p> <p>If you use any of these results, please acknowledge the work of the people involved in producing them. Acknowledgments should be similar to the one below that contains information related to MAR and PISM. To document MAR scientific impact and enable ongoing support of the model, users are likely encouraged to contact me to add their works to the list of MAR-related publications. </p> <p>"We thank A. Delhasse, C. Kittel, and J. Beckmann, as well as the MAR and PISM teams which make available the model outputs. We also thank agencies (F.R.S - FNRS, CÉCI, and the Walloon Region) that provided computational resources for MAR-PISM simulations. "</p> <p>You should also refer to and cite the following paper in its latest version:</p> <p>Delhasse, A., Kittel, C. and Beckmann, J.: Exploring the Greenland Ice Sheet’s response to future warming-threshold scenarios over 200 years, [JOURNAL UNDER REVIEW], 2024.</p> <p><strong><em>References</em></strong></p> <p>Delhasse, A., Beckmann, J., Kittel, C., and Fettweis, X.: Coupling MAR (Modèle Atmosphérique Régional) with PISM (Parallel Ice Sheet Model) mitigates the positive melt–elevation feedback, The Cryosphere, 18, 633–651, https://doi.org/10.5194/tc-18-633-2024, 2024.</p> <p>MARTeam: MARv3.11, GitLab [data set], <a href="https://gitlab.com/Mar-Group/MARv3">https://gitlab.com/Mar-Group/MARv3#</a> (last access: 24 October 2024), 2024.</p> <p> </p>
Data on aquifer regeneration and steelhead response in the Carmel River, California
<p>Original datasets and model code used in the paper "Focused aquifer regeneration produced outsized gains for a threatened fish in a populated, dryland watershed," by David A. Boughton and Haley A. Ohms</p> <p> </p>
DFPulse: The 2024 Digital Forensic Practitioner Survey (Response Dataset)
<h2><strong>Information given to survey respondents:</strong></h2> <p><strong>Introduction</strong></p> <p>The aim of this survey is to improve the relevance of academic work to practitioners, and to improve the flow of information between the digital forensic researcher and practitioner communities.</p> <p>This survey consists of three sections: </p> <p>* demographics (19 questions)</p> <p>* the challenges you face (20 questions), </p> <p>* engagement with academia (11 questions, optional). </p> <p>If you wish, you can stop and submit at the end of Section 2 the responses that you've given in Sections 1 and 2. We estimate that completing as far as the end of Section 2 will take approximately 20-25 mins, and the full survey approximately 30 minutes.</p> <p>We appreciate that your time is extremely valuable, but we hope to use this survey to direct academic research to be of maximum value to you. We would really appreciate you giving up some of your time to provide input to this survey to help make digital forensic research more relevant to you, and to help us communicate the results of that research more effectively to you.</p> <p><strong>Who is conducting this?</strong></p> <p>This survey is being conducted by Assoc. Prof. Mark Scanlon in the School of Computer Science, University College Dublin, Ireland. The title of this research is “Exploring the issues faced by digital forensic practitioners and identifying the relationship between academic research and digital forensic practice”. There are five collaborators on the project:</p> <p>Assoc. Prof. Frank Breitinger, School of Criminal Justice, University of Lausanne, Switzerland.<br>Dr. Liz Dowthwaite, School of Computer Science, University of Nottingham, United Kingdom.<br>Dr. Chris Hargreaves, Department of Computer Science, University of Oxford, United Kingdom.<br>Assoc. Prof. Mark Scanlon, School of Computer Science, University College Dublin, Ireland.<br>Dr. Helena Webb, School of Computer Science, University of Nottingham, United Kingdom.</p> <p><strong>What is this research about?</strong></p> <p>Exploring the status quo of (academic) research and digital forensic practitioners, i.e., has the research an impact on the practitioners. These also includes exploring if/how practitioners follow academic output/venues.</p> <p><strong>Why are we do</strong><strong>ing this research?</strong></p> <p>To better understand the needs of practitioners and to explore the interaction between digital forensic practitioners and researchers.</p> <p><strong>How will your data be used?</strong></p> <p>Responses will be discussed among the study authors. Most relevant findings will be summarised in a research article and the anonymous responses will be shared with the community.</p> <p><strong>What will happen if you decide to take part in this research study?</strong></p> <p>This anonymous online survey will take you approximately 30 minutes to complete.</p> <p><strong>How will we protect your privacy?</strong></p> <p>The responses given to the survey are anonymous, with no uniquely identifiable information recorded.</p> <p><strong>What are the benefits of taking part in this research study?</strong></p> <p>Taking part in this survey will enable you to inform future digital forensic research directions. The results of the survey will be disseminated with the digital forensic research community.</p> <p><strong>What are the risks of taking part in this research study?</strong></p> <p>The risks in taking part in the survey are negligible as all data collection is anonymous.</p> <p><strong>Can I change my mind at any stage and withdraw from the study?</strong></p> <p>During the completion of the survey, you can withdraw at any time. You can withdraw by closing the window and/or simply not submitting your responses on the last page of the survey. Partially completed surveys will not be retained. After your response is submitted, it cannot be subsequently withdrawn, as your response is anonymous.</p> <p><strong>How will I find out what happens with this project?</strong></p> <p>The intention is that the insights gained from this survey will be disseminated through common academic channels including any/all of the following: journal article or conference paper publication, poster publication, preprint publication, data sharing, conference presentation, classroom sharing, and/or informing future research directions.</p>
EV based miR-6772-5p secreted by breast cancer cells in response to radiation exposure is involved in development of radioresistance
<p>This dataset serves as a supplementary material for the research article <em>EV-based miR-6772-5p secreted by breast cancer cells in response to radiation exposure is involved in development of radioresistance</em> by Tynjälä <em>et al</em>. For further details, please refer to our publication for a detailed description of the methods used to generate this dataset.</p> <p>In summary, we isolated and sequenced miRNAs from extracellular vesicles (EVs) isolated from irradiated and non-irradiated MCF7 cells. Sequencing libraries were prepared with QIAseq miRNA Library Kit (Qiagen, Germany) and sequenced with Illumina NextSeq 500 platform (Illumina). In-house bioinformatics workflow was used to process the sequencing data. Unique molecular identifier (UMI) sequences were first extracted and added to FASTQ header with UMI-tools while discarding the 3’ adapter and primer sequences. Reads shorter than 16 bp were discarded with cutadapt. Provided sequencing data is in FASTQ format and trimmed from adapter and UMI sequences. We have also provided miRNA counts and results of following differential gene expression analysis in tab-delimited format.</p> <p> </p> <p> </p>
Normalized profile of industrial demand response
<p>Normalized profile of industrial demand response based on an industrial facility in Austria in 2019</p>
OTIMP: The Oticon-Imperial hearing aid impulse response database
<p>A database of acoustic impulse responses measured between a sphere of loudspeakers and hearing aids in a mildly reverberant listening room. The database includes measurements on 46 individuals and is particularly intended to allow the evaluation of hearing aid algorithms when applied to devices worn by different individuals.</p> <p> </p> <p>Version history</p> <p>1.0.0 Original</p> <p>1.0.1 Re-uploaded as individual zip files - No change to the actual data but allows the most commonly used segment(s) of the data to be downloaded more conveniently.</p>
pH-responsive aminolipid nanocarriers for antimicrobial peptide delivery
<p>Raw data for the paper entitled, "pH-responsive aminolipid nanocarriers for antimicrobial peptide delivery" published in the Journal of Colloid and Interface Science on 11 June 2021.</p> <p> </p> <p>Abstract:</p> <p>pH-responsive aminolipid self-assemblies are promising platforms for the targeted delivery of antimicrobial peptides (AMPs), with the potential to improve their therapeutic efficiency and physicochemical stability. pH-sensitive nanocarriers based on dispersed self-assemblies of 1,2-dioleoyl-3-dimethylammonium-propane (DODAP) with the human cathelicidin LL-37 in excess water were characterized at different pH values using small-angle X-ray scattering, cryogenic transmission electron microscopy, and dynamic light scattering. Fluorescence and electrophoretic mobility measurements were used to probe the encapsulation efficiency of LL-37 and the nanocarriers’ surface potential. Upon decreasing pH in the DODAP/water systems, normal oil-in-water emulsions at pH ≥ 5.0 transitioned to emulsions encapsulating inverse hexagonal and cubic structures at pH between 4.5 and 4.0, and mostly positively-charged vesicles at pH < 4.0. These colloidal transformations are driven by the protonation of DODAP upon pH decrease. The larger lipid-water interfacial area provided by the DODAP self-assemblies at pH ≤ 4.5 allowed for an adequate encapsulation efficiency of LL-37, favouring the formation of vesicles in a concentration-dependent manner. Contrary, LL-37 was found to dissociate from the emulsion droplets at pH 6.0. The knowledge on the pH-triggered self-assembly of LL-37 and DODAP, combined with the results on peptide release from the structures contribute to the fundamental understanding of lipid/peptide self-assembly. The results can guide the rational design of future pH-responsive AMP delivery systems.</p>
Drought stress triggers differential survival and functional trait responses in the establishment of Arnica montana seedlings
<ul> <li>The establishment and survival of seedlings are critical stages in the life cycle of plants and therefore usually well timed to humid and favourable conditions. Climate projections suggest that the threatened mountain grassland species <em>Arnica montana</em> may be increasingly exposed to drought stress. However, studies that focus on the species’ early development are missing. We evaluated impacts of drought-induced stress on <em>A. montana</em> seedlings in their early establishment phase and identified traits for the species’ fitness decline.</li> <li>In a greenhouse experiment, we tested the response of <em>A. montana</em> seedlings to different drought levels (moderate, strong, extreme). To assess their fitness under increasing drought, we evaluated the survival of the seedlings based on four senescence stages and measured the performance of above- and belowground morphological and physiological functional traits.</li> <li><em>Arnica montana</em> seedlings showed high resistance to drought. Senescence accelerated and survival declined only under strong and extreme drought conditions. However, the seedlings’ vegetative performance decreased even with moderate drought, as indicated by smaller values of most leaf traits and some root traits. Physiological trait response was less sensitive.</li> <li>Drought stress hinders the establishment and survival of <em>A. montana</em> seedlings. Following the functional trait responses to drought and their associations with survival, we suggest declining leaf length, leaf width, and leaf number as sensitive traits that can lead to a decline performance.</li> </ul>
Data and scripts used in the paper entitled "Led Color Gradient As A New Screening Tool For Rapid Phenotyping Of Plant Responses To Light Quality" by Pierre LEJEUNE et al.
<p>Images, script and data used in the paper entitled "Led Color Gradient As A New Screening Tool For Rapid Phenotyping Of Plant Responses To Light Quality" by Pierre LEJEUNE, Anthony FRATAMICO, Frédéric BOUCHÉ, Samuel HUERGA-FERNÁNDEZ, Pierre TOCQUIN, Claire PÉRILLEUX</p>
Single-Cell Transcriptomics Reveals a Heterogeneous Cellular Response to BK Virus Infection
<p>The files are the Indrops count matrices for BKV and Mock samples corresponding to the 8 experiments and samples described in the Bioproject https://www.ncbi.nlm.nih.gov/bioproject/PRJNA715178</p> <p> </p>
Effects of Motor Pacing on Frontal-Haemodynamic Responses during Continuous Finger and Whole-Body Movements
<p>Data set and code for the article "Effects of Motor Pacing on Frontal-Haemodynamic Responses during Continuous Upper-Limb and Whole-Body Movements" (<a href="https://doi.org/10.1111/psyp.14226">https://doi.org/10.1111/psyp.14226</a>).</p>
A High-Resolution Spatial Room Impulse Response Database
<p><strong>A High-Resolution Spatial Room Impulse Response Database:</strong></p> <p>A Database of various SRIRs measured in three rooms, for two receiver and 3 source positions each. The positions are shown in the floor plans. </p> <p><strong>Naming Convention:</strong></p> <p><strong>Receivers</strong>: SMA (DRIRs): spherical microphone array impulse responses on a 2702 sampling point Lebedev grid.</p> <p> KU100 (BRIRs): Neumann KU100 dummy head impulse responses on a 360 sampling point horizontal grid</p> <p> Omni_ir: Omnidirectional impulse responses measured with an Earthworks M30 microphone </p> <p><strong>Receiver positions:</strong> P1, P2 as indicated in the floor plans</p> <p><strong>Source positions:</strong> LSL: left speaker, LSR: right speaker, LSC: center speaker as indicated in the floor plans </p> <p><strong>Rooms: </strong>Audiolab, Classroom, Audimax</p> <p>_______________________________________________________________________________________</p> <p><strong>Contact:</strong><br> Tim Lübeck, Johannes M. Arend, and Christoph Pörschmann<br> TH Köln - University of Applied Sciences<br> Institute of Communications Engineering<br> Department of Acoustics and Audio Signal Processing<br> Betzdorfer Str. 2, D-50679 Cologne, Germany</p> <p><a href="https://www.th-koeln.de/personen/tim.luebeck/">https://www.th-koeln.de/personen/tim.luebeck/</a></p> <p><a href="https://www.th-koeln.de/personen/johannes.arend/">https://www.th-koeln.de/personen/johannes.arend/</a></p> <p><a href="http://www.th-koeln.de/personen/christoph.poerschmann/">https://www.th-koeln.de/personen/christoph.poerschmann/</a><br> <br> </p>
Phenotype, genotype and fitness data related to genetic analysis of praziquantel response in schistosome parasites.
<p>These data are related to the study of the Genetic analysis of praziquantel response in schistosome parasites implicates a Transient Receptor Potential channel.</p> <p>Mass treatment with praziquantel (PZQ) monotherapy is the mainstay for schistosomiasis treatment. This drug shows imperfect cure rates in the field and parasites showing reduced PZQ response can be selected in the laboratory, but the extent of resistance in <em>Schistosoma mansoni</em> populations is unknown. We examined the genetic basis of variation in PZQ response in a <em>S. mansoni</em> population (SmLE-PZQ-R) selected with PZQ in the laboratory: 35% of these worms survive high dose (73 µg/mL) PZQ treatment. We used genome wide association to map loci underlying PZQ response. The major chr. 3 peak contains a transient receptor potential (Sm.TRPM_PZQ) channel (Smp_246790), activated by nanomolar concentrations of PZQ. PZQ response shows recessive inheritance and marker-assisted selection of parasites at a single Sm.TRPM_PZQ SNP enriched populations of PZQ-resistant (PZQ-ER) and sensitive (PZQ-ES) parasites showing >377 fold difference in PZQ response. The PZQ-ER parasites survived treatment in rodents better than PZQ-ES. Resistant parasites show 2.25-fold lower expression of Sm.TRPM_PZQ than sensitive parasites. Specific chemical blockers of Sm.TRPM_PZQ enhanced PZQ resistance, while Sm.TRPM_PZQ activators increased sensitivity. A single SNP in Sm.TRPM_PZQ differentiated PZQ-ER and PZQ-ES lines, but mutagenesis showed this was not involved in PZQ response, suggesting linked regulatory changes. We surveyed Sm.TRPM_PZQ sequence variation in 259 parasites from the New and Old World revealing one nonsense mutation that results in a truncated protein with no PZQ-binding site. Our results demonstrate that Sm.TRPM_PZQ underlies variation in PZQ response in <em>S. mansoni</em> and provides an approach for monitoring emerging PZQ-resistance alleles in schistosome elimination programs.</p> <p>This dataset is divided in 3 folders. Each folder has a readme detailing its content.</p> <p><strong>1-Phenotyping_data</strong></p> <p>This folder includes the data tables related to the phenotyping of the worms performed during this study. The phenotype measured was the viability of worms following PZQ treatment (i.e., PZQ response). This viability was assessed microscopically or using worm lactate production released in culture media.</p> <p>The data correspond to the following experiments:</p> <ul> <li>PZQ response of single adult male worms from SmLE and SmLE-PZQ-R populations to different doses of PZQ. This data was used to determine the PZQ IC50 of each population.</li> <li>Lactate production from single SmLE-PZQ-R adult male worms and correlation with visual observation. This was a proof-of-principle that lactate production can be used to efficiently and unbiasedly phenotype schistosome adult male worms in response to PZQ drug.</li> <li>PZQ response of single SmLE-PZQ-R adult male worms. These worms were then divided in low and high producer in response to PZQ and used to perform a genome-wide association study.</li> <li>PZQ response of single adult male worms from SmLE-PZQ-ER and SmLE-PZQ-ES populations to different doses of PZQ. This data was used to determine the PZQ IC50 of each population.</li> <li>PZQ response of single adult male worms from SmLE-PZQ-ER and SmLE-PZQ-ES populations in presence of Sm.TRPM_PZQ blocker (MB2) and activator (MV1) with and without PZQ drug.</li> <li>In vivo PZQ response of schistosome worms from SmLE-PZQ-ER and SmLE-PZQ-ES populations.</li> </ul> <p><strong>2-Genotyping_data</strong></p> <p>This folder includes the data tables related to the genotyping of the worms performed during this study. Worms were genotyping using PCR-RFLP (genotyping of single nucleotide polymorphisms (SNPs) on chr2 and chr3 QTLs) or using qPCR (genotyping of a copy number variation (CNV) on chr3 QTL).</p> <p>The data correspond to the following experiment:</p> <ul> <li>Association between PZQ response of single adult male worms from SmLE-PZQ-R population and their respective genotype on chromosome 2 (SNP) and chromosome 3 (SNP and CNV) loci.</li> </ul> <p><strong>3-Fitness_data</strong></p> <p>This folder includes the data tables related to the fitness of the parasite populations. We collected data regarding:</p> <ul> <li>The number of surviving and infected snails after exposure to SmLE-PZQ-ER or SmLE-PZQ-ES miracidia.</li> <li>The number of adult worms recovered from golden Syrian female hamsters exposed to SmLE-PZQ-ER or SmLE-PZQ-ES cercariae.</li> </ul> <p>All the data were collected during 12 generations of parasites and are used to evaluate a potential impact of PZQ resistance on the parasite fitness.</p>
Figure 1 in An investigation of predator-induced defence responses in ciliated protozoa
Figure 1. Effect of different predators on Euplotes muscorum. Results are means of three independent replicates for each treatment; ''eaten'', E. muscorum cells ingested by predators; ''cysts'', encysted E. muscorum cells; ''alive'', uningested, trophic E. muscorum cells.
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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.