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901 results for “Modality”
PhAQ: Intuitive Physics Question Answering forMulti-Modal Neural Network training
<p>Dataset for the paper:</p> <p>PhAQ: Intuitive Physics Question Answering forMulti-Modal Neural Network training</p> <p>The two proposed splits are given in zip files.</p>
Socio-economic information and preferred interaction modalities related to eco-feedback systems
<p>This dataset has been collected during a research conducted by the above authors to understand and improve upon the interactivity, functionality, and ultimately the sustainability effect of smart plugs. As observed in the spreadsheet, we collected socio-demographic information and gathered anonymous responses to three speculative scenarios related to how new eco-feedback systems are defined. Specifically, the dataset reports on the following aspects:</p> <p> </p> <ol> <li>Description and rationale of an eco-feedback information idea they would like to receive (what). This was provided via free-form text.</li> <li>Description of how a smart plug would display this information (how), provided via free-form text. This included one sub-question asking participants which Wattom features their scenario better relates to – provided via multiple choice using four short GIF animations of each feature in action.</li> <li>Description of which location would this information be most useful in (where). This was provided via three sub-questions: (i) four multiple choice options (home, work, shared home, other); (ii) a free-form text with more specific location information; and (iii) 23 multiple choice options with color-coded icons of various appliances and devices).</li> <li>Description of when this information should be displayed throughout the time (when). This was provided via five multiple choice options with the images illustrated in Figure 1.</li> </ol>
Dual-modality imaging of immunofluorescence and imaging mass cytometry for high-resolution whole slide imaging with accurate single-cell segmentation
<p>Imaging mass cytometry (IMC) is a powerful multiplexed tissue imaging technology that allows simultaneous detection of more than 30 makers on a single slide. It has been increasingly used for single-cell based spatial phenotyping in a wide range of samples. However, it only acquires a small, rectangle field of view (FOV) with a low image resolution that hinders downstream analysis. Here, we reported a highly practical dual-modality imaging method that combines high-resolution immunofluorescence (IF) and high-dementional IMC on the same tissue slide. Our computational pipeline uses the whole slide image (WSI) of IF as spatial reference, integrates small FOV IMC into a WSI of IMC. The high-resolution IF images enable accurate single-cell segmentation to extract robust high-dimensional IMC features for downstream analysis. We applied this method in esophageal adenocarcinoma of different stages, identified the single-cell pathology landscape via reconstruction of WSI IMC images and demonstrated the advantage of the dual-modality imaging strategy.</p>
WoPoss-project/Gospels: The WoPoss dataset on modality in the Gospels
<p>Linguistic annotation (including modality) of the Gospels in Ancient Greek and Latin</p> <p>Contents</p> <ul> <li> <p><code>xml</code>: contains the XML-TEI dataset. There is a file for each language and Gospel. These files contain the linguistic annotation of modal passages (with three verses before and after each occurrence of a modal marker to provide context).</p> </li> <li> <p><code>summary</code>: two tabular sheets with a summary of the annotation.</p> </li> <li> <p><code>scripts</code>: XQuery code to create the tables presented in <code>summary</code> and to align the semantic annotation in Greek and Latin with any other language available in the project <a href="https://christos-c.com/bible/"><em>Multilingual Bible Parallel Corpus</em></a>.</p> </li> <li> <p><code>to-be-aligned</code>: empty folder where you need to save the files downloaded from the <em>Multilingual Bible Parallel Corpus</em> in order to be aligned.</p> </li> <li> <p><code>build.xml</code>: Apache Ant build file: read instructions to run it</p> </li> </ul>
Dual-modal imaging of two-phase flows with electromagnetic flow tomography and electrical tomography -- experimental evaluation of the state estimation approach
<p>The supplementary files included are associated with our experimental research on two-phase flow estimation. This study experimentally investigates the feasibility of a state estimation approach for dynamic image reconstruction in dual-modal tomography of two-phase oil-water flows using electromagnetic flow tomography (EMFT) and electrical tomography (ET). By approximating the process with a convection-diffusion model, the extended Kalman filter and fixed-interval Kalman smoother are applied to reconstruct temporally evolving velocity and phase fraction distributions. The results demonstrate that the Kalman smoother-based reconstructions, along with uncertainty estimates, outperform conventional methods and provide feasible volumetric flow rate estimates for oil and water phases in a laboratory setup.</p>
IBSU-1432 dataset on videoendoscopy frame quality classification for laryngoscopy (NBI modality)
<p><strong>How to cite</strong></p> <p>Nogal, P., Buchwald, M., Staśkiewicz, M., Kupiński, S., Pukacki, J., Mazurek, C., ... & Wierzbicka, M. (2022). Endoluminal larynx anatomy model–towards facilitating deep learning and defining standards for medical images evaluation with artificial intelligence algorithms. <em>Polish Journal of Otolaryngology</em>, <em>76</em>(5), 37-45. <a href="https://doi.org/10.5604/01.3001.0015.9501">https://doi.org/10.5604/01.3001.0015.9501</a></p> <p>Paderno, A., Piazza, C., Del Bon, F., Lancini, D., Tanagli, S., Deganello, A., … Moccia, S. (2021). Deep Learning for Automatic Segmentation of Oral and Oropharyngeal Cancer Using Narrow Band Imaging: Preliminary Experience in a Clinical Perspective. <em>Frontiers in Oncology</em>, <em>11</em>(March), 1–12. <a href="https://doi.org/10.3389/fonc.2021.626602">https://doi.org/10.3389/fonc.2021.626602</a></p> <p>Moccia, S., Vanone, G. O., Momi, E. De, Laborai, A., Guastini, L., Peretti, G., & Mattos, L. S. (2018). Learning-based classification of informative laryngoscopic frames. <em>Computer Methods and Programs in Biomedicine</em>, <em>158</em>, 21–30. <a href="https://doi.org/10.1016/j.cmpb.2018.01.030">https://doi.org/10.1016/j.cmpb.2018.01.030</a></p> <p><strong>Description</strong></p> <p>The presented dataset consists of 1432 laryngeal endoscopy frames of different acquisition quality. The four classes were distinguished (after Moccia et al., 2018):</p> <ol> <li>Informative frames (436),</li> <li>Blurred (383),</li> <li>Saliva/specular reflections (321), and</li> <li>Underexposed frames (292).</li> </ol> <p>(In total, 1432 = 436 I + 383 B + 321 S + 292 U.)</p> <p><strong>Acknowledgements</strong></p> <p>Alberto Paderno, MD PhD – Brescia data part</p> <p>Sara Moccia, PhD – IBSU-720 frames dataset from Zenodo: <a href="https://zenodo.org/record/1162784#.Ycrmfi1Q1qt">https://zenodo.org/record/1162784#.Ycrmfi1Q1qt</a></p> <p>Małgorzata Wierzbicka, MD PhD – Poznan data part</p> <p>Piotr Nogal, MD – Poznan data part</p> <p>Joanna Jackowska, MD PhD – Poznan data part</p> <p>Hanna Klimza, MD PhD – Poznan data part</p>
MTL subregion segmentation atlas with 7T and 3T multi-modality MRI
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Variation in personality shaped by evolutionary history, genotype, and developmental plasticity in response to feeding modalities in the Arctic charr
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Data for: Investigating signal modalities of aposematism in a poison frog
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Data from: Shifting balances in the weighting of sensory modalities are predicted by divergence in brain morphology in incipient species of Heliconius butterflies
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A bacterial effector manipulates host lysosomal protease activity-dependent plasticity in cell death modalities to facilitate infection
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Data for: Bi-modal response strategy in Daphnia to ambush predation risk
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FAPM: Functional annotation of proteins using multi-modal models beyond structural modeling
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Wiki-MLM: Multiple Languages and Modalities
<p>International organizations and companies encounter web data in a range of modalities and languages. At the same time, applications developed by these users result from pipelines that perform multiple tasks. Systems that handle diverse inputs and multiple objectives hold the promise of limiting complexity in the application work-flow and improving generalization. We present a Wikidata-generated re-source designed to train and evaluate multitask systems on samples in four modalities and three languages</p>
plan4res - public dataset for case study 1 part MIM-1: time series used for multi-modal investment pathway modelling
<p>Public data set which is used within the plan4res project for performing case study 1 "Multi-modal European energy concept for achiving COP21" - Multi-modal Investment modelling (MIM) Part 1: Time series for the reference year 2015</p> <p>The related documentation is included in plan4res' deliverable D4.5 chapter 3.2 (see 10.5281/zenodo.3785010) </p> <p>The data set includes the following data:</p> <p>a) characteristic annual load profiles for large industrial heat demand for chemical, iron & steel, food & beverage and pulp & paper industries for the reference year 2015</p> <p>HOTMAPS__TD_OUT_D_CHEM__20200608T160653__20200422T120000Z__v01.csv <br> HOTMAPS__TD_OUT_D_FOOD__20200608T160724__20200422T120000Z__v01.csv <br> HOTMAPS__TD_OUT_D_IRON__20200608T160705__20200422T120000Z__v01.csv HOTMAPS__TD_OUT_D_PAPER__20200608T160715__20200422T120000Z__v01.csv </p> <p>b) characteristic demand profiles for road-side car passenger transport and availability of cars for charging while (home) parking for the reference year 2015 </p> <p>SIEMENS__TD_OUT_D_RoadCar__20200608T160627__20200401T120000Z__v01.csv SIEMENS__TD_CAP_CarPark__20200608T160637__20200401T120000Z__v01.csv </p> <p>c) load profiles for exogeneous demand of electricity for the reference year 2015. The exogenous demand includes all electricity consumptions not explicitly modeled within MIM modeling.</p> <p>HRE4__TD_OUT_ElectricityExo__20200608T160732__20200401T120000Z__v01.csv </p> <p>c) regionally resolved demand profiles for (individual) space heating and space cooling for the reference year 2015</p> <p>HRE4__TRD_CAP_Cool_2015__20200608T160051__20200401T120000Z__v01.csv <br> HRE4__TRD_CAP_HeatInd_2015__20200608T155849__20200401T120000Z__v01.csv</p> <p>d) regionally resolved generation profiles of electricity from photovoltaic, wind onshore, wind offshore, hydro run-of-river, and for heat generation from solar thermal for the reference year 2015</p> <p>NINJA__TRD_CAP_PV_2015__20200608T160440__20191104T120000Z__v01.csv <br> NINJA__TRD_CAP_WindOFF_2015__20200608T155422__20191104T120000Z__v01.csv <br> NINJA__TRD_CAP_WindON_2015__20200608T155251__20191104T120000Z__v01.csv HRE4__TRD_CAP_HydroRoR_2015__20200608T155550__20200401T120000Z__v01.csv <br> HRE4__TRD_CAP_SolarThermal_2015__20200608T155718__20200401T120000Z__v01.csv </p> <p>e) regionally resolved generation profile of electricity from wind offshore transformed in a way to represent potential capacity factors in future as stated by doi:10.2760/041705. Data based on reference year 2015</p> <p>SIEMENS__TRD_CAP_WindOFF_2040__20200608T155127__20200401T120000Z__v01.csv </p> <p>x) A list of geographical description of the zone hierarchy data used in MIM for the EU33 region set.:</p> <p>SIEMENS__ZoneHierarchy_MIM_EU33__20181231T120000Z___20200131T1200000Z__v001.csv </p> <p>Further info:</p> <p>Time series are based on historical data for the reference year 2015. </p> <p>Values are normalized over one reference year in a way that either the maximum = 1 (CAP) or the integral = 1 (OUT).</p> <p>All values are listed in arbitrary units. </p> <p>All country names are according to ISO 3166-1 alpha-2.</p>
Data from: Shared and modality-specific brain regions that mediate auditory and visual word comprehension
<p>Visual speech carried by lip movements is an integral part of communication. Yet, it remains unclear in how far visual and acoustic speech comprehension are mediated by the same brain regions. Using multivariate classification of full-brain MEG data, we first probed where the brain represents acoustically and visually conveyed word identities. We then tested where these sensory-driven representations are predictive of participants' trial-wise comprehension. The comprehension-relevant representations of auditory and visual speech converged only in anterior angular and inferior frontal regions and were spatially dissociated from those representations that best reflected the sensory-driven word identity. These results provide a neural explanation for the behavioural dissociation of acoustic and visual speech comprehension and suggest that cerebral representations encoding word identities may be more modality-specific than often upheld.</p>
Data from: Multi-modal ultra-high resolution structural 7-Tesla MRI data repository
Structural brain data is key for the understanding of brain function and networks, i.e., connectomics. Here we present data sets available from the 'atlasing of the basal ganglia (ATAG)' project, which provides ultra-high resolution 7Tesla (T) magnetic resonance imaging (MRI) scans from young, middle-aged, and elderly participants. The ATAG data set includes whole-brain and reduced field-of-view MP2RAGE and T2*-weighted scans of the subcortex and brainstem with ultra-high resolution at a sub-millimeter scale. The data can be used to develop new algorithms that help building high-resolution atlases both relevant for the basic and clinical neurosciences. Importantly, the present data repository may also be used to inform the exact positioning of electrodes used for deep-brain-stimulation in patients with Parkinson's disease and neuropsychiatric diseases.
Idiosyncratic learning performance in flies generalizes across modalities
<p>Data and analysis scripts for the manuscript entitled " Idiosyncratic learning performance in flies generalizes across modalities ". </p>
Dataset: Aberration characterisation of X-ray optics using multi-modal ptychography and a partially coherent source
<p>These are the ptychography datasets used for the publication "Aberration characterisation of X-ray optics using multi-modal ptychography and a partially coherent source". File are in the HDF format and contain a number of datasets detailed below.</p> <p>If you require more information, please contact the corresponding author of the publication, at thomas.moxham@eng.ox.ac.uk</p> <p>Raw files contain: diffraction intensities, scanning positions in millimeters</p> <p>Recon files contain: fourier error, complex probe function, complex object function, recon pixel size, energy</p> <p>raw_siemens_star_be_lens.hdf, raw_fourier_ring_correlation.hdf, merlin_medipix_detector_mask.hdf, recon_multi-modal_probe.hdf, recon_multi-modal_object.hdf, recon_fourier_ring_correlation.hdf</p>
Data from: Multi-modal defenses in aphids offer redundant protection and increased costs likely impeding a protective mutualism
1.The pea aphid, Acyrthosiphon pisum, maintains extreme variation in resistance to its most common parasitoid wasp enemy, Aphidius ervi, which is sourced from two known mechanisms: protective bacterial symbionts, most commonly Hamiltonella defensa, or endogenously encoded defenses. We have recently found that individual aphids may employ each defense individually, occasionally both defenses together, or neither. 2.In field populations, Hamiltonella-infected aphids are found at low to moderate frequencies and while less is known about the frequency of resistant genotypes, they show up less often than susceptible genotypes in field collections. To better understand these patterns, we sought to compare the strengths and costs of both types of defense, individually and together, in order to elucidate the selective pressures that maintain multi-modal defense mechanisms or that may favor one over the other. 3.We experimentally infected five aphid genotypes (two lowly and three highly resistant), each with two symbiont strains, Hamiltonella-APSE8 (moderate protection) and Hamiltonella-APSE3 (high protection). This resulted in three sublines per genotype: uninfected, +APSE8, and +APSE3. Each of the fifteen total sublines was first subjected to a parasitism assay to determine its resistance phenotype and in a second experiment a subset were chosen to compare fitness (fecundity and survivorship) in presence and absence of parasitism. 4.In susceptible aphid genotypes, parasitized sublines infected with Hamiltonella generally showed increased protection with direct fitness benefits, but clear infection costs to fitness in the absence of parasitism. In resistant genotypes, Hamiltonella infection rarely conferred additional protection, often further reduced fecundity and survivorship when enemy challenged, and resulted in constitutive fitness costs in the absence of parasitism. We also identified strong aphid-genotype X symbiont-strain interactions, such that the best defensive strategy against parasitoids varied for each aphid genotype; one performed best with no protective symbionts, the others with particular strains of Hamiltonella. 5.This surprising variability in outcomes helps explain why Hamiltonella infection frequencies are often intermediate and do not strongly track parasitism frequencies in field populations. We also find that variation in endogenous traits, such as resistance, among host genotypes may offer redundancy and generally limit the invasion potential of mutualistic microbes in insects.
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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.