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1,481 results for “data processing”
data and appendix for paper "From Analytical Purposes to Data Visualizations: A Decision Process Guided by a Conceptual Framework and Eye Tracking"
<p>the folder contains the following:</p> <p>1. Data from the pre-experiment questionnaire provided to the participants (pre-experiment_data.xlsx)</p> <p>2. Questions and answer data (answers_accuracy.xlsx)</p> <p>3. Online figures appendix (figures.pdf)</p>
Interpretable semi-supervised population prediction and disaggregation using ancillary data: processed dataset
<p>Dataset ready for use for the tool "cross_validator.py", that runs the experiments.</p> <p> </p> <p>The data cannot be redistributed as-is as it includes non-redistributable work. Contact authors for access.</p>
Processed data - DegNorm: Normalization of generalized transcript degradation improves accuracy in RNA-seq analysis
<p>Processed data from DegNorm:</p> <ul> <li>"_raw.txt": raw read counts matrix;</li> <li>"_DI.txt": Degradation index score matrix;</li> <li>"_DegNorm.txt": normalized read counts matrix from DegNorm output;</li> <li>"_coverage.Rdata": list of coverage matrix for the sample;</li> <li>"_countsTIN.txt": TIN normalized counts.</li> </ul> <p> </p>
Supporting data for "Quantifying process connectivity with transfer entropy in hydrologic models" [Paper #2018WR024555]
<p>This tarball contains the processed datasets used for the analysis of the process networks. It also contains the shapefiles used to define the domains of each sub-region.</p>
Supporting data (pre-processed) for: "Frequency-tagged visual evoked responses track syllable effects in visual word recognition"
<p>Pre-processed data. </p> <p>Data were re-referenced off-line to the average of left and right mastoid electrodes, bandpass filtered from 5 to 100 Hz (4th order Butterworth filter) and then segmented to include 200 ms before and 2000 ms after stimulus onset. Epoched data were normalized based on a prestimulus period of 200 ms, and then evaluated according to a sample-by-sample procedure to remove noisy sensors that were replaced using spherical splines. Additionally, EEG epochs that contained data samples exceeding threshold (100 uV) were excluded on a sensor-by-sensor basis, including horizontal and vertical eye channels</p> <p>The original data:<br> Montani, Veronica. (2019). Supporting data for: "Frequency-tagged visual evoked responses track syllable effects in visual word recognition" [Data set]. Zenodo. http://doi.org/10.5281/zenodo.3260451</p>
Data of Sedimentation process of ashfall during a Vulcanian eruption as revealed by high-temporal-resolution grain size analysis and high-speed camera imaging
<p>Data of ash falling rate, grain size analysis of ash deposit, and high-speed camera imaging of airborne ash particles used in "Sedimentation process of ashfall during a Vulcanian eruption as revealed by high-temporal-resolution grain size analysis and high-speed camera imaging". </p>
APPENDIX. List of sequenced specimens of Triphosa, with identification, Sampling sites collecting data, Accession numbers, and process ID in BOLD database. Data taken from BOLD and generated by Axel Hausmann (1); Bernd Müller (2); Dirk Stadie (3); Iva Mihoci 4); Marco Infusino, Stefano Scalercio (5); Norbert Poell (6); Wanke et al. (7). in An integrative taxonomic revision of the genus Triphosa Stephens, 1829 (Geometridae: Larentiinae) in the Middle East and Central Asia, with description of two new species
APPENDIX. List of sequenced specimens of Triphosa, with identification, Sampling sites collecting data, Accession numbers, and process ID in BOLD database. Data taken from BOLD and generated by Axel Hausmann (1); Bernd Müller (2); Dirk Stadie (3); Iva Mihoci 4); Marco Infusino, Stefano Scalercio (5); Norbert Poell (6); Wanke et al. (7).
Raw data for High-Q SiN microresonator based on a subtractive processing for Kerr nonlinearity
<p>This document includes the raw data and matlab code to obatin the figures included in the paper 'High-Q SiN microresonator based on a subtractive processing for Kerr nonlinearity'</p>
Raw and processed data for publication "Quantitative microscopy reveals dynamics and fate of clustered IRE1alpha"
<p>This dataset contains all raw and processed data for our PNAS paper titled "Quantitative microscopy reveals dynamics and fate of clustered IRE1alpha". Using the associated analysis code (10.5281/zenodo.3544482), all figures in the paper can be reproduced from the data in this upload.</p> <p>Abstract of the paper is included below:</p> <p>"The endoplasmic reticulum (ER) membrane-resident stress sensor IRE1 governs the most evolutionarily conserved branch of the unfolded protein response. Upon sensing an accumulation of unfolded proteins in the ER lumen, IRE1 activates its cytoplasmic kinase and ribonuclease (RNase) domains to transduce the signal. IRE1 activity correlates with its assembly into large clusters, yet the biophysical characteristics of IRE1 clusters remain poorly characterized. We combined super-resolution microscopy, single-particle tracking, fluorescence recovery and photoconversion to examine IRE1 clustering quantitatively in living human and mouse cells. Our results revealed that (1) by contrast to qualitative impressions gleaned from microscopic images, IRE1 clusters comprise only a small fraction (~5%) of the total IRE1 in the cell. (2) IRE1 clusters have complex topologies that display features of higher-order organization. (3) IRE1 clusters contain a diffusionally constrained core, indicating that they are not phase-separated liquid condensates. (4) IRE1 molecules in clusters remain diffusionally accessible to the free pool of IRE1 molecules in the general ER network. (5) When IRE1 clusters disappear at later timepoints of ER stress as IRE1 signaling attenuates, their constituent molecules are released back into the ER network and not degraded. (6) IRE1 cluster assembly and disassembly are mechanistically distinct. (7) IRE1 clusters’ mobility is nearly independent of cluster size. Taken together, these insights define the clusters as dynamic assemblies with unique properties. The analysis tools developed for this study will be widely applicable to investigations of clustering behaviors in other signaling proteins."</p>
The ouput simulation data of the Exo-FMS GCM and of the post-processing with gCMCRT for Effects of the internal temperature on vertical mixing and on cloud structures in Ultra Hot Jupiters
<p>The datasets contains the ouput simulation data of the Exo-FMS GCM and of the post-processing with gCMCRT for Effects of the internal temperature on vertical mixing and on cloud structures in Ultra Hot Jupiters</p> <p>Context. The vertical mixing in hot Jupiter atmospheres plays a critical role in the formation and spacial distribution of cloud particles<br>in their atmospheres. This affects the observed spectra of a planet through cloud opacity, which can be influenced by the degree of<br>cold trapping of refractory species in the deep atmosphere.<br>Aims. We aim to isolate the effects of the internal temperature on the mixing efficiency in the atmospheres of Ultra Hot Jupiters (UHJ)<br>and the spacial distribution of cloud particles across the globe.<br>Methods. We couple a simplified tracer based cloud model, picket fence radiative-transfer scheme and mixing length theory to the<br>Exo-FMS general circulation model. We run the model for five different internal temperatures at typical UHJ atmosphere system<br>parameters.<br>Results. Our results show the convective eddy diffusion coefficient remains low throughout the vast majority of the atmosphere, with<br>mixing dominated by advective flows. However, some regions can show convective mixing in the upper atmosphere for colder interior<br>temperatures. The vertical extent of the clouds is reduced as the internal temperature is increased. Additionally, a global cloud layer<br>gets formed below the radiative-convective boundary (RCB) in the cooler cases.<br>Conclusions. Convection is generally strongly inhibited in UHJ atmospheres above the RCB due to their strong irradiation. Convective<br>mixing plays a minor role in keeping cloud particles aloft in ultra hot Jupiters with warm interiors. Our results suggest isolated upper<br>atmosphere regions above cold interiors may exhibit strong convective mixing, allowing aerosols to be better retained in these areas.</p>
Data for "Statistical Process Monitoring of Isolated and Persistent Defects in Complex Geometrical Shapes"
<p>Simulated data used in the paper "Statistical Process Monitoring of Isolated and Persistent Defects in Complex Geometrical Shapes" by Daniele Zago, Bianca Maria Colosimo, and Giovanna Capizzi.</p> <p>The files includes MATLAB code used to generate the simulated noisy meshes.</p>
Reproduction of PANDA: processed data for simulations and applications
<p>These data are processed data for simulations and applications used to reproduce the results in the paper "Dual decoding of cell types and gene expression in spatial transcriptomics with PANDA".</p> <p>To ensure that the file paths match those used in the code, please place the files in the following directories within your working directory before extracting them:</p> <p>"Data/processed_data/simulations/paired_scenario.zip"</p> <p>"Data/processed_data/simulations/unpaired_scenario.zip"</p> <p>"Data/processed_data/simulations/merfish.zip"</p> <p>"Data/processed_data/simulations/reference_choice.zip"</p> <p>"Data/processed_data/applications/melanoma.zip"</p> <p>"Data/processed_data/applications/mouse_brain.zip"</p> <p>"Data/processed_data/applications/human_heart.zip"</p>
Processed Data from Bibliometrix Analysis.
<p>This dataset contains the processed bibliometric <span>data</span> used <span>in</span> the study <span>"Evolution and Trends in Digital Wallet Research: A Bibliometric Analysis in Scopus and Web of Science."</span> The <span>data</span> was analyzed using the Bibliometrix <span>package</span> <span>in</span> R and includes key metrics such <span>as</span> the number of publications, citation analysis, co-authorship networks, and thematic evolution of research topics. This dataset <span>is</span> provided to support reproducibility and further research <span>in</span> the field of digital wallet technology.</p>
EcoAdvDepression Pre-Intervention Processed Data
<p><strong>Processed videos of social interaction, converted to grey-scale, removed audio, and in .MP4 format, at the pre-intervention stage. Contains video data for 26 fish with alternatively positioned shoals, totalling 52 videos.</strong></p>
lr-kallisto Main Figures' Processed data
<p>The zipped folder contains the abundance matrices for the three main and the single-nuclei supplement figures as well as genomes and annotations for figure 1 in </p> <p>“<strong>Long-read sequencing transcriptome quantification with lr-kallisto”</strong></p> <p>for easier reproducibility of the figures without installing and running all softwares, since some of the softwares take > 24 hours to run on the larger datasets. </p>
EcoAdvDepression Post-Intervention Processed Data
<p>Processed videos of social interaction, converted to grey-scale, removed audio, and in .MP4 format, at the post-intervention stage. Contains video data for 26 fish with alternatively positioned shoals, totalling 52 videos.</p>
Data from the article titled: Transforming into community. Development process of the Algarabía Occupational Center as an expanded community of practice Transforming into community. Development process of the Algarabía Occupational Center as an expanded community of practice
<p>Project PID2020-117020GB-I00 , funded by : Ministerio de Ciencia e Innovación de España/<br>AEI/10.13039/501100011033 and by the predoctoral contracts grant for the training of PhD implemented by<br>the [grant number PRE2021-098075]</p>
Experimental data used in the article entitled "Tuning the defects density in additively manufactured fcc aluminium alloy via modifying the cellular structure and post-processing deformation"
Open the record for dataset details and reuse information.
Experimental data used in the article entitled "Electron Microscopy Study of Structural Defects Formed in Additively Manufactured AlSi10Mg Alloy Processed by Equal Channel Angular Pressing"
Open the record for dataset details and reuse information.
SST data from JAXA for "Importance of Strains in Kinetic Energy Conversion for Submesoscale Processes from an Anisotropic Perspective"
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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.