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6,467 results for “process”
MORETTI process data
<p>Data of MORETTI's processes including effort, energy consumption, carbon footprint and cost.</p>
Real Time Identity Processes data
<p>Datasets for the Special Issue "Real-Time Identity Processes" in the journal "Identity : a journal for theory and research". These datas were use for Spearman's rho correlations and Linear Mixed Models.</p>
Processed data supplementary to "Systematic benchmarking of single-cell ATAC sequencing protocols"
<p>Fragments.tsv.gz for all 15 samples + merged, each for the full sequencing data and library downsampled data (42k reads/cell for each sample). Also contains expression matrices for the multiome (full_10x_Multiome_?_RNA_gex.zip) and 10x scRNA-seq data (10x_scRNA_?_gex.zip).</p>
CSV files, R script and stimuli: writing process data of typed intransitive, monotransitive and ditransitive sentences by 90 healthy adults
<p>Writing process data of 90 healthy elderly (50 - 90 years) were obtained. Each of them completed a typed sentence production task that consisted of 40 trials. Time on task, production time, and pause times before sentences, between words and within words were logged with a keystroke logging tool (ScriptLog). The data were used to examine the influences of normal ageing and verb transitivity on sentence production. The underlying aim was to provide a foundation for further research on sentence production in Alzheimer's disease (AD).</p> <p>This data set contains the CSV files that were used for the analyses and the corresponding R script. Note that the files contain the data before data reduction (still containing, e.g., participants that were eventually not included in the analyses, or sentences with errors); the R script includes the necessary code for data reduction. This data set also contains the stimuli that were used in the experiment (a subset of images from the Open Linguistic Picture Database; Paesen & Meulemans, 2020).</p> <p>The paper is currently under review. The data will be available as soon as it is accepted for publication.</p>
Clustering has a meaning: optimization of angular similarity to detect geometric anomalies in geological terrains - Input and processed data.
<p>This companion dataset relates to the manuscript "<strong>Clustering has a meaning: optimization of angular similarity </strong></p> <p><strong>to detect geometric anomalies in geological terrains</strong>", by</p> <p>Michał P. Michalak, Lesław Teper, Florian Wellmann, Jerzy Żaba, Krzysztof Gaidzik, Marcin Kostur, Yuriy P. Maystrenko, Paulina Leonowicz</p> <p>The archive contains the input and processed data. The input data contains XYZ coordinates of points documenting the investigated interfaces. The output files contains calculated orientations and coordinates of vectors. The output files can be processed in RStudio.</p>
Did you even see that? Visual sensory processing of single stimuli under different locomotor loads [motion tracking data]
<p>Modern living and working environments are more and more interspersed with the concurrent execution of locomotion and sensory processing, most often in the visual domain. Many job profiles involve the presentation of visual information while walking, for example in warehouse logistics work, where a worker has to manage walking to the correct aisle to pick up a package while being presented with visual information over data-glasses concerning the next order. Similar use-cases can be found in manufacturing jobs, for example in car montage assembly lines where next steps are presented via augmented reality headsets while walking at a slow pace. Considering the overall scarcity of cognitive resources available to be deployed to either the cognitive or motor processes, task performance decrements were found when increasing load in either domain. Interestingly, the walking motion also had beneficial effects on peripheral contrast detection and the inhibition of visual stream information.</p> <p>Taking these findings into account, we conducted a study that comprised the detection of single visual targets (Landolt Cs) within a broad range of the visual field (-40° to +40° visual angle) while either standing, walking, or walking with concurrent perturbations. We used questionnaire (NASA-TLX), behavioral (response times and accuracy), and neurophysiological data (ERPs and ERSPs) to quantify the effects of cognitive-motor interference. The study was conducted in a Gait Real-time Analysis Interactive Laboratory (GRAIL), using a 180° projection screen and a swayable and tiltable dual-belt treadmill.</p> <p>Questionnaire and behavioral measures showed common patterns. We found increasing subjective physical workload and behavioral decrements with increasing stimulus eccentricity and motor complexity. Electrophysiological results also indicated decrements in stimulus processing with higher stimulus eccentricity and movement complexity (P3, Theta), but highlighted a beneficial role when walking without perturbations and processing more peripheral stimuli regarding earlier sensory components (N1pc/N2pc, N2).</p> <p>These findings suggest that walking without impediments can enhance the visual processing of peripheral information and therefore help with perceiving non-foveal sensory content. Also, our results could help with re-evaluating previous findings in the context of cognitive-motor interference, as increased motor complexity might not always impede cognitive processing and performance.</p>
Did you even see that? Visual sensory processing of single stimuli under different locomotor loads [EEG data]
<p>Modern living and working environments are more and more interspersed with the concurrent execution of locomotion and sensory processing, most often in the visual domain. Many job profiles involve the presentation of visual information while walking, for example in warehouse logistics work, where a worker has to manage walking to the correct aisle to pick up a package while being presented with visual information over data-glasses concerning the next order. Similar use-cases can be found in manufacturing jobs, for example in car montage assembly lines where next steps are presented via augmented reality headsets while walking at a slow pace. Considering the overall scarcity of cognitive resources available to be deployed to either the cognitive or motor processes, task performance decrements were found when increasing load in either domain. Interestingly, the walking motion also had beneficial effects on peripheral contrast detection and the inhibition of visual stream information.</p> <p>Taking these findings into account, we conducted a study that comprised the detection of single visual targets (Landolt Cs) within a broad range of the visual field (-40° to +40° visual angle) while either standing, walking, or walking with concurrent perturbations. We used questionnaire (NASA-TLX), behavioral (response times and accuracy), and neurophysiological data (ERPs and ERSPs) to quantify the effects of cognitive-motor interference. The study was conducted in a Gait Real-time Analysis Interactive Laboratory (GRAIL), using a 180° projection screen and a swayable and tiltable dual-belt treadmill.</p> <p>Questionnaire and behavioral measures showed common patterns. We found increasing subjective physical workload and behavioral decrements with increasing stimulus eccentricity and motor complexity. Electrophysiological results also indicated decrements in stimulus processing with higher stimulus eccentricity and movement complexity (P3, Theta), but highlighted a beneficial role when walking without perturbations and processing more peripheral stimuli regarding earlier sensory components (N1pc/N2pc, N2).</p> <p>These findings suggest that walking without impediments can enhance the visual processing of peripheral information and therefore help with perceiving non-foveal sensory content. Also, our results could help with re-evaluating previous findings in the context of cognitive-motor interference, as increased motor complexity might not always impede cognitive processing and performance.</p>
multi-model evaluation of warm rain process
<p>The data are used in the manuscript titled "A multi-model study on warm precipitation biases in global models compared to satellite observations". </p>
Raw data and processing of Figuer in the article
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A Cosmological Benchmark for Symmetry-Preserving Data Processing (JSONL)
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Processed dataset
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ebv_paper_ChIP-seq_processed_data
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Protocols of the WaysTUP! processes pilot 1
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Data supporting the findings of "Projecting trends of arabica coffee yield under climate change: A process-based modelling study at continental scale"
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Anomaly Detection in Semiconductor Wafer Fabrication Using Stream Processing Systems: A Case Study - Dataset
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ITS2 stigma metabarcoding sequence processing
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Impact of Varying Lidar Measurement and Data Processing Techniques in evaluating Cirrus Cloud and Aerosol Direct Radiative Effects
<p>Range corrected signal of the two cirrus clouds, biomass burning and dust layers, used in the analysis carried out in the paper </p>
CZTS lattice configurations with equilibrium thermodynamic Cu-Zn disorder and order parameter processing
<p>Data for thermodynamic lattice disorder from Monte Carlo simulation of Cu-Zn disorder in kesterite CZTS. Data generated with Eris code found at: https://github.com/WMD-group/Eris</p>
TMSEEG_pre-processed_HealthySubject
<p>Pre-processed EEG responses to TMS of different stimulation sites collected in a single healthy subject during wakefulness</p>
Data for "Assessing cognitive styles through EEG-based bistable perception processing"
<p>This is the raw data collected for an ERP study on field<br> dependence-independence. Field dependence-independence (FD-I) is a widely<br> studied dimension of cognitive styles designed to measure an individual’s<br> ability to identify embedded parts of an organized visual field as entities<br> separated from that given field. The aim of the research is to determine<br> whether the brain activity features that have been found to be perceptual<br> switching indicators could serve as robust features, differentiating<br> field-dependent from field-independent participants. Previous research suggests<br> that various event related potential (ERP)-related and frequency features are<br> associated with the perceptual reversal occurring during the observation of<br> a bistable image. In this study we combined these features in the context of<br> a different experimental scheme using ambiguous and unambiguous stimuli during<br> participants’ perceptual observations.</p> <p> </p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.