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7,228 results for “Modules”
Supporting Data: A large-scale dataset of solar event reports from automated feature recognition modules.
<p>This is the supporting dataset for the paper:</p> <p>A large-scale dataset of solar event reports from automated feature recognition modules. Michael A. Schuh, Rafal A. Angryk, Petrus C. Martens. Journal of Space Weather and Space Climate, 2016.</p>
Dataset accompanying publication: "Modulation of Cortical Oscillations by Low-Frequency Direct Cortical Stimulation is State-Dependent"
<p>Dataset accompanying publication:</p> <p>"Modulation of Cortical Oscillations by Low-Frequency Direct Cortical Stimulation is State-Dependent", Alagapan, Schmidt, Lefebvre, Hadar, Shin and Frohlich</p> <p>For questions, contact flavio_frohlich@med.unc.edu</p> <p>The mat file consists of the following Matlab variables</p> <ol> <li><strong>Electrode Distance</strong>: 3 x 1 cell array containing the arrays (trial x electrode) of distance from stimulating electrode to recording electrode for the three ECoG participants. (First array corresponds to P001, Second array corresponds to P005 and Third array corresponds to P008)</li> <li><strong>Spectra_Electrode_EC</strong>: 3 x 1 cell array consisting of nTrial x nFreq x nChannels x nEpochs matrices for each subject’s eyes-closed experiment. nTrial corresponds to number of trials, nFreq corresponds to frequencies at which spectral power is calculated, nChannels corresponds to number of electrodes in the analysis and nEpochs corresponds to “Before Stimulation”, “During Stimulation” and “After Stimulation” epochs.</li> <li><strong>Spectra_Electrode_EO</strong>: 3 x 1 cell array consisting of nTrial x nFreq x nChannels x nEpochs matrices for each subject’s eyes-open experiment. The dimensions are the same as above. The first array consists of task-engaged dataset from Participant P001.</li> <li><strong>MI_Summary</strong>: 8 x 1 cell array consisting of 3 x 1 cell arrays of modulation indexes for the three participants. The 8 arrays stand for the modulation indexes in different epochs and different frequencies. Refer <strong>MI_Summary_Names</strong></li> <li><strong>MI_Summary_Names</strong>: 8 x 1 cell array consisting of strings denoting the arrays in <strong>MI_Summary</strong>. <strong>During</strong> in text corresponds to “During Stimulation” epoch and <strong>After</strong> corresponds to “After Stimulation” epoch.</li> <li><strong>f</strong>: Frequencies at which spectral power was estimated.</li> <li><strong>NetworkModel</strong>: Matlab struct containing the time series generated by the network model and corresponding spectra. The <strong>timeseries</strong> consists of 4 columns – 1<sup>st</sup> column corresponds to time, 2<sup>nd</sup> column corresponds to task-engaged state data, 3<sup>rd</sup> column corresponds to eyes-open state data and 4<sup>th</sup> column corresponds to eyes-closed state data. The <strong>spectra </strong>struct consists of spectral powers estimated in the different epochs. 1<sup>st</sup> column of each epoch array corresponds to task-engaged state, 2<sup>nd</sup> column corresponds to eyes-open state and the 3<sup>rd</sup> column corresponds to eyes-closed state.</li> <li><strong>SummationModel</strong>: Matlab struct containing the time series generated by the summation model and the peak values in spectra before and during stimulation by varying the two strength parameters. The columns correspond to stimulation strength while rows correspond to oscillation strength. The oscillation strength parameter was varied from 0.5 to 50 in steps of 0.5 and the stimulation strength parameter was varied from 0.1 to 10 in steps of 0.1. </li> </ol> <p> </p>
Modulating the assessment of semantic speech–gesture relatedness via transcranial direct current stimulation of the left frontal cortex
<p>Raw data related to the publication:</p> <p>Schülke, R., & <strong>Straube, B.</strong> (accepted). Modulating the assessment of semantic speech-gesture relatedness via transcranial direct current stimulation of the left frontal cortex. Brain Stimulation. DOI: 10.1016/j.brs.2016.10.012.</p> <p> </p> <p>Statistical software: SPSS</p> <p>Variables:</p> <p>Subject<br> Stimulus<br> SessionNr<br> Stimulation<br> Localisation - frontal/parietal/frontoparietal<br> Polarisation - anode left/right<br> Relatedness - related/unrelated<br> Gesture_type - iconic/metaphoric<br> Reaction_time - in milliseconds<br> Rating - on a scale from 1-7</p>
Dataset supporting "Reach-relevant somatosensory signals modulate tactile suppression"
<p>Here we provide the psychophysical and kinematic data reported in: Gertz, H., Voudouris, D., & Fiehler, K. (2017). Reach-relevant somatosensory signals modulate tactile suppression. <em>Journal of Neurophysiology</em>, jn.00052.2017. http://doi.org/10.1152/jn.00052.2017</p> <p>Tactile stimuli on moving limbs are typically attenuated during reach planning and execution. This phenomenon has been related to internal forward models that predict the sensory consequences of a movement. Tactile suppression is considered to occur due to a match between the actual and predicted sensory consequences of a movement, which might free capacities to process novel or task-relevant sensory signals. Here we examined whether and how tactile suppression depends on the relevance of somatosensory information for reaching. Participants reached with their left or right index finger to the unseen index finger of their other hand (body target) or an unseen pad on a screen (external target). In the body target condition, somatosensory signals from the static hand were available for localizing the reach target. Vibrotactile stimuli were presented on the moving index finger before or during reaching, or in a separate no-movement baseline block, and participants indicated whether they detected a stimulus. As expected, detection thresholds before or during reaching were higher compared to baseline. Tactile suppression was also stronger for reaches to body targets than external targets, as reflected by higher detection thresholds and lower precision of detectability. Moreover, detection thresholds were higher when reaching with the left than with the right hand. Our results suggest that tactile suppression is modulated by position signals from the target limb that are required to successfully reach to the own body. Moreover, limb dominance seems to affect tactile suppression presumably due to disparate uncertainty of feedback signals from the moving limb.</p>
Reward draws the eye, uncertainty holds the eye: Associative learning modulates distracter interference in visual search.
<p>Eye tracking data and statistical analysis of:</p> <p>Koenig, S., Kadel, H., Uengoer, M., Schubö, A., & Lachnit, H. (2017). Reward draws the eye, uncertainty holds the eye: Associative learning modulates distracter interference in visual search. <em>Frontiers in Behavioral Neuroscience</em>. doi: 10.3389/fnbeh.2017.00128.</p> <p> Abstract: Stimuli in our sensory environment differ with respect to their physical salience, but moreover may acquire motivational salience by association with reward. If we repeatedly observed that reward is available in the context of a particular cue, but absent in the context of another cue, the former typically attracts more attention than the latter. However, we also may encounter cues uncorrelated with reward. A cue with 50% reward contingency may induce an average reward expectancy, but at the same time induces high reward uncertainty. In the current experiment we examined how both values, reward expectancy and uncertainty, affected overt attention. Two different colors were established as predictive cues for low reward and high reward respectively. A third color was followed by high reward on 50% of the trials and thus induced uncertainty. Colors then were introduced as distractors during search for a shape target and we examined the relative potential of the color distractors to capture and hold the first fixation. We observed that capture frequency corresponded to reward expectancy while capture duration corresponded to uncertainty. The results may suggest that within trial, reward expectancy is represented at an earlier time window than uncertainty.</p>
Manipuri Learning Module: Audio of Binodini's Asangba Nongjabi (Part B)
<p>ASANGBA NONGJABI</p> <p>Audio Recording, Part B (30 min)</p> <p>Mellei Leisna Production, c. 1994</p> <p>Featuring:</p> <p>Kangabam Tomba as Gautam</p> <p>Yengkhom Roma as Indu</p> <p>Keisam Rani as Keinatombi</p> <p>Thokchom Manao as Middle-Aged Man</p> <p>Laimayum Dhanachandra as Hotel Manager</p> <p>Wangkhem Lalit Kumar as Uncle</p> <p> </p> <p>NOTE:</p> <p>- Part B starts in Act 4 on the top of Page 30 of Asangba Nongjabi in Roman (https://zenodo.org/record/839521) from the dialog line:</p> <p><em>MAMO. Takho – nanggi nama eigi ichaldo eigi yumsida sikhibani.</em></p> <p>- Some dialogue by Gautam is repeated at the play's ending. This was intended for dramatic effect by MK Binodini in consultation with Kangabam Tomba, the unaccredited director of this performance with Yengkhom Roma.</p> <p> </p>
Manipuri Learning Module: Audio of Binodini's Asangba Nongjabi (Part A)
<p>ASANGBA NONGJABI</p> <p>Audio Recording, Part A (30 min)</p> <p>Mellei Leisna Productions, c. 1994</p> <p>Featuring:</p> <p>Kangabam Tomba as Gautam</p> <p>Yengkhom Roma as Indu</p> <p>Keisam Rani as Keinatombi</p> <p>Wangkhem Lalit Kumar as Uncle</p> <p>Thokchom Manao as Middle-Aged Man</p> <p>Laimayum Dhanachandra as Hotel Manager</p> <p> </p> <p>NOTE:</p> <p>- In making a one-hour recording, Act 3 of the original play was omitted. </p> <p>- Some dialogue was added by MK Binodini in consultation with Kangabam Tomba, the unaccredited director of this performance with Yengkhom Roma, the end of Side A. It was to make for a smoother changeover to side B of the audio cassette. This addition comes at the bottom of Page 29 of the Roman transliteration, in Act 4.</p> <p>- Part B starts on the top of Page 30 of Asangba Nongjabi in Roman (https://zenodo.org/record/839521) from the dialog line:</p> <p><em>MAMO. Takho – nanggi nama eigi ichaldo eigi yumsida sikhibani.</em></p> <p> </p> <p> </p>
Dataset supplementing Lichtenberg et al. (2017) Foraging traits modulate stingless bee community disassembly under forest loss. Journal of Animal Ecology
<p>This dataset contains data and scripts that supplement the publication</p> <p>Lichtenberg et al. (2017) Foraging traits modulate stingless bee community disassembly under forest loss. Journal of Animal Ecology. DOI 10.1111/1365-2656.12747.</p> <p> </p> <p>Please cite the above article if you use any of the included data or code.</p> <p> </p> <p>Files are described in README.md.</p>
PENGEMBANGAN E-MODUL PADA MATERI SUHU DAN KALOR BERBASIS BRAIN-BASED LEARNING
<p>Penelitian ini bertujuan untuk mengembangkan <i>E-modul</i> berbasis <i>Brain Based Learning</i> untuk siswa kelas XI. Pembelajaran dengan <i>E-modul</i> membantu siswa untuk dapat belajar mandiri serta membantu memahami materi dengan baik. Penelitian ini menggunakan metode Research & Development (R&D) dengan model pengembangan 4D (Define, Design, Development, Disseminate). Kelayakan <i>E-modul </i>berbasis <i>brain based learning</i> materi suhu dan kalor diuji oleh 3 validator yang terdiri dari 3 rekan sejawat. Berdasarkan data hasil validasi oleh validator terhadap <i>E-modul </i>berbasis diperoleh keseluruhan rata-rata skor 3,6 dengan kategori sangat valid. Oleh karena itu, media pembelajaran <i>E-modul </i>berbasis <i>brain based learning</i> yang dikembangkan telah memenuhi kriteria valid sehingga layak digunakan dalam proses pembelajaran.</p>
Position error-free control of magnetic-domain wall devices via spin-orbit torque modulation
<p>Magnetic domain-wall devices such as racetrack memory and domain-wall shift registers facilitate massive data storage as hard disk drives with low power portability as flash memory devices. The key issue to be addressed is how perfectly the domain-wall motion can be controlled without deformation, as it can replace the mechanical motion of hard disk drives. However, such domain-wall motion in real media is subject to the stochasticity of thermal agitation with quenched disorders, resulting in severe deformations with pinning and tilting. To sort out the problem, we propose and demonstrate a new concept of domain-wall control with a position error-free scheme. The primary idea involves spatial modulation of the spin-orbit torque along nanotrack devices, where the boundary of modulation possesses broken inversion symmetry. In this work, by showing the unidirectional motion of domain wall with position-error free manner, we provide an important missing piece in magnetic domain-wall device development.</p>
Position error-free control of magnetic-domain wall devices via spin-orbit torque modulation
<p>Magnetic domain-wall devices such as racetrack memory and domain-wall shift registers facilitate massive data storage as hard disk drives with low power portability as flash memory devices. The key issue to be addressed is how perfectly the domain-wall motion can be controlled without deformation, as it can replace the mechanical motion of hard disk drives. However, such domain-wall motion in real media is subject to the stochasticity of thermal agitation with quenched disorders, resulting in severe deformations with pinning and tilting. To sort out the problem, we propose and demonstrate a new concept of domain-wall control with a position error-free scheme. The primary idea involves spatial modulation of the spin-orbit torque along nanotrack devices, where the boundary of modulation possesses broken inversion symmetry. In this work, by showing the unidirectional motion of domain wall with position-error free manner, we provide an important missing piece in magnetic domain-wall device development.</p>
Dataset for the paper Exploring the Impact of Longitudinal Modulation on the Twisting Angle in Pancharatnam-Berry Phase-Based Waveguides
Open the record for dataset details and reuse information.
Scripts, inputs and outputs of Module 3 BN analysis and impact assessment regarding Deliverable D6.3 "Performance and Impact assessment" in the IP4MaaS project
<p>All the materials, inputs, models, and scripts that are used in the performance assessment toolbox (IP4MaaS project, Deliverable D6.3 Performance and Impact Assessment) are available in the attached folder. </p> <p>The attached folder contains the following:</p> <p>Module 3_ BN analysis_Graphs and weights (the inputs, weights, graphs, and scripts of Bayesian Network analysis per each IP4MaaS demo site).</p> <p>The scripts have been designed for easy adoption in other projects with similar end goals. While the scripts operate on the codified representation of the traveller profiles, functionalities, and service providers, there is no restriction on the type of codification used. The only factor that the scripts assume is the order of the variables introduced for codification. That is the traveller profile variable (wherever applicable), followed by the Functionality variable, followed by the Service Provider variable. As long as the order is maintained, the scripts self-analyze the number of variables representing the traveller profiles, functionalities, and service providers, and perform calculations (USI, Effectiveness) and analysis (Regression and BN), Hence, in a similar framework, the scripts may be used for performing data analysis on a large data set with no restriction on the number of functionalities, service providers or subsets of traveller profiles. Documented Scripts can be found in a downloadable ZIP file here. </p>
Lanthanum modulated reaction pacemakers on a single catalytic nanoparticle - Database
<p><strong>Supplementary Data to the associated "Nature Communications" article (doi: 10.1038/s41467-023-43026-3) containing the FEM measurements and timeseries simulated by the microkinetic modelling.</strong></p><p>FEM measurements of the oscillating hydrogen oxidation reaction on Rh at T = 453 K at constant pressures of pH2 = 5.0 x 10-6 and pO2 = 4.4 x 10-6 mbar on a clean Rh tip (Data 1) and Lanthanum modulated surface (Data 2).</p>
Female chacma baboons modulate their sexual receptivity in response to male intrasexual competition
<p>Research in social mammals has revealed the complexity of strategies females use in response to female-female reproductive competition and sexual conflict. One point at which competition and conflict manifest acutely is during sexual receptivity, indicated by swellings in some primates. Whether females can adjust their sexual receptivity from cycle to cycle to decrease reproductive competition and sexual conflict in response to social pressures has not been tested. As a first step, this study explores whether sexual receptivity duration is predicted social pressures in wild female chacma baboons (<em>Papio</em> <em>ursinus</em>). Given that female baboons face intense reproductive competition and sexual coercion, we predicted that: females could shorten the duration of their sexual receptive period to reduce female-female aggression and male coercion or increase it to access multiple or their preferred male(s). We quantified 157 ovulatory cycles from 46 wild females living in central Namibia recorded over 15 years. We found no support for our hypothesis; however, our analyses revealed a negative correlation between maximal-swelling duration and group size, a proxy of within-group competition. This study provides further evidence that swelling is costly as well as a testable framework for future investigations of 'cycle length manipulation'.</p>
Genome Database: Turnover of strain-level diversity modulates functional traits in the honeybee gut microbiome between nurses and foragers
<p>This repository contains the dataset used in the publication "Turnover of strain-level diversity modulates functional traits in the honeybee gut microbiome between nurses and foragers," which is currently under revision. A pre-print can be found <a href="https://doi.org/10.1101/2022.12.29.522137">here</a>. The database is based on previously published work to create a genomic database of honeybee gut microbes by Kirsten Ellegaard (2021), found <a href="https://zenodo.org/records/4661061">here.</a></p><p>The zipped folder deposited here after unzipping, should contain the following files and directories:</p><ul><li>honeybee_genome.fasta : fasta file containing the host (<i>Apis mellifera</i>) genome sequence</li><li>beebiome_db : fasta file of 198 concatenated genomes with one genome per entry (multi-line fasta) where the headers represent the genome identifier</li><li>beebiome_red_db : fasta file of 39 species representative genomes with one genome per entry (multi-line fasta) where the headers represent the genome identifier to be used for the analysis of intra-specific variation</li><li>fna_files : directory containing genome sequence files and concatenated files where the concatenated files contain one fasta entry renamed to the genome identifier and all contigs concatenated into one entry</li><li>ffn_files : directory containing one file per genome listing the nucleotide sequence of all the predicted genes</li><li>faa_files : directory containing one file per genome listing the amino acid sequence of all the predicted genes</li><li>bed_files : directory containing bed files where the location of each of the predicted genes are indicated based on their position in the concatenated genome file</li><li>single_ortho : directory containing one file per phylotype listing all the single-copy orthogroups (OGs) identified by orthofinder where each line represents an OG id followed by a list of genes from each of the genomes of that phylotype that belong to that OG and the corresponding sequences of these genes can be found in the ffn file belonging to the respective genome</li><li>red_bed_files : directory containing bed files for species representative genomes that only list the positions genes that belong to the core orthogroups of their phylotype</li></ul><p>Further information about how this genome database was used to analyze strain-level diversity can be found in the publication and accompanying code repository.</p>
Mitonuclear interactions modulate nutritional preference
<p class="MsoNormal">In nature, organisms are faced with constant nutritional options which fuel key life-history traits. Studies have shown that species can actively make nutritional decisions based on internal and external cues. Metabolism itself is underpinned by complex genomic interactions involving components from both nuclear and mitochondrial genomes. Products from these two genomes must coordinate how nutrients are extracted, used, and recycled. Given the complicated nature of metabolism, it is not well understood how nutritional choices are affected by mitonuclear interactions. This is under the rationale that changes in genomic interactions will affect metabolic flux and change physiological requirements. To this end we used a large <em>Drosophila</em> mitonuclear genetic panel, comprising 9 isogenic nuclear genomes coupled to 9 mitochondrial haplotypes, giving a total of 81 different mitonuclear genotypes. We use a capillary-based feeding assay to screen this panel for dietary preference between carbohydrate or protein. We find significant mitonuclear interactions modulating nutritional choices, with these epistatic interaction also being dependent on sex. Our findings support the notion that complex genomic interactions can place a constraint on metabolic flux. This work gives us deeper insights into how key metabolic interactions can have large implications on behaviour.</p>
Data from: Blood pressure pulsations modulate central neuronal activity via mechanosensitive ion channels
<p><span>The transmission of heartbeat through the cerebral vascular system is known to cause intracranial pressure pulsations. Here we report that arterial pressure pulsations can directly modulate central neuronal activity. </span><span>In a semi-intact rat brain preparation, vascular pressure pulsations elicit correlated local field oscillations in the olfactory bulb (OB) mitral cell layer. These oscillations do not require synaptic transmission, but reflect baroreceptive transduction in mitral cells. This transduction is mediated by an excitatory mechanosensitive ion channel and modulates neuronal spiking activity. Indeed, in awake animals, the heartbeat entrains the activity of a subset of OB neurons within ~20 ms. Thus, we propose that this fast intrinsic interoceptive mechanism can modulate perception, e.g. during arousal, within the OB and also possibly across various brain areas.</span></p>
Data from: Urbanisation and agricultural intensification modulate plant-pollinator network structure and robustness
<p>Land use change is a major pressure on pollinator abundance, diversity, and plant-pollinator interactions. Far less is known about how land use alters the structure of plant-pollinator networks and their robustness to plant-pollinator coextinctions.</p> <p>We analyzed the structure of plant-pollinator networks sampled in 12 landscapes along an urbanisation and agricultural intensity gradient, from early spring to late summer 2021, and used a stochastic coextinction model to correlate plant-pollinator coextinction risk with network structure (species and network-level metrics) and landscape context.</p> <p>Networks in intensively managed (i.e. agricultural and urban) landscapes had a lower risk of initiating a coextinction cascade, while networks in less-intensively managed landscapes may be less robust. Network structure modulated the frequency and severity of coextinctions and species loss, while the strength of species interactions increased robustness.</p> <p>Urban networks were more species-rich and symmetrical due to the high diversity of ornamental plants, while intensively managed agricultural landscapes had smaller, more tightly connected, and nested networks.</p> <p>Network structure modulated the frequency of extinctions, which was decreased by greater linkage density, interaction asymmetry, and interaction dependence in the networks, while once an extinction occurred, nestedness and linkage density propagated the degree of the coextinction cascade and species loss. At the species level, species strength was inversely correlated with extinction risk, implying that generalist species with a high number of interactions with specialists had the lowest extinction risk.</p>
Assessing the use of HL7 FHIR for implementing the FAIR guiding principles: A case study of the MIMIC-IV emergency department module
<p><strong>Objective</strong> <br>To assess the use of Health Level Seven Fast Healthcare Interoperability Resources (FHIR<sup>®</sup>) for implementing the Findable, Accessible, Interoperable, and Reusable guiding principles for scientific data (FAIR). Additionally, present a list of FAIR implementation choices for supporting future FAIR implementations that use FHIR. <br><br><strong>Material and Methods</strong> <br>A case study was conducted on the Medical Information Mart for Intensive Care-IV Emergency Department dataset (MIMIC-ED), a deidentified clinical dataset converted into FHIR. The FAIRness of this dataset was assessed using a set of common FAIR assessment indicators. <br><br><strong>Results</strong> <br>The FHIR distribution of MIMIC-ED, comprising an implementation guide and demo data, was more FAIR compared to the non-FHIR distribution. The FAIRness score increased from 60 to 82 out of 95 points, a relative improvement of 37%. The most notable improvements were observed in interoperability, with a score increase from 5 to 19 out of 19 points, and reusability, with a score increase from 8 to 14 out of 24 points. A total of 14 FAIR implementation choices were identified. <br><br><strong>Discussion</strong> <br>Our work examined how and to what extent the FHIR standard contributes to FAIR data. Challenges arose from interpreting the FAIR assessment indicators. This study stands out for providing a real-world example of a dataset that was made more FAIR using FHIR. <br><br><strong>Conclusion</strong> <br>To the best of our knowledge, this is the first study that formally assessed the conformance of a FHIR dataset to the FAIR principles. FHIR improved the accessibility, interoperability, and reusability of MIMIC-ED. Future research should focus on implementing FHIR in research data infrastructures. Keywords: FAIR Guiding Principles, HL7 FHIR, Reusable Data, MIMIC-IV</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.