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6,467 results for “process”
VEGA2 TV SYSTEM IMAGES PROCESSED BY KFKI V1.0
The TVS data from KFKI came in various stages. The initial submission from KFKI was completely replaced in the fall 1992. At that time, additional processed data with aspect and range corrections were included. The original filenaming scheme was preserved except for changing the leading filename character and expressing the aspect ratio as 'a'.
OUTDATED: BfR Compilation of Processing Factors and Evaluation of Quality Controlled Data of Food Processing Studies
<p>See updated version: <a href="../records/6827098">https://zenodo.org/records/6827098</a></p>
Cambrian–Silurian sedimentary processes and provenance with basin shift in southeastern Qilian Orogenic Belt: implications for crustal and tectonic evolution in northern Proto-Tethyan realm
<p>This datatset contains detrital zircon U-Pb-Hf isotope, whole-rock major and trace elemental, and Nd isotopic data of the Cambrian to Silurian sedimentary rocks in the southeastern Qilian Orogenic Belt.</p>
New insight for comprehensive utilization of Jujube biomass by pyrolysis and activation to prepare biochar and by-products: carbonization process and adsorption nitrogen
<p>Table S1. The all components of by-products from jujube biomass analyzed by GC-MS.</p> <p>Figure S1. The mass spectral peaks of by-products during jujube biomass pyrolysis process</p>
X-ray CT data for WD and WZX during the process of spontaneous imbibition
<p>Before spontaneous imbibition, X-ray μ-CT measurement at dry condition was firstly carried out to require the base information of CT intensity. Subsequently, imbibition liquid was injected into the acrylic plastic tube to fill up to the bottom surface of the coal plug (co-current imbibition). The imbibition fluid was removed after 15 minutes of spontaneous imbibition and prepare for CT scanning. Finally, repeating the above steps completes two samples under the same condition for 60 min, 120 min, 240 min, 600 min, 1440 min successively.Due to the large size of original 3-D reconstruction data (1920×1920×3620 for sampled WD and 1920×1920×4647 for sample WZX), the image was cropped into 600×600×2350 of sample WD and 600×600×3400 of sample WZX for subsequent analysis.</p>
Alertness training increases visual processing speed in healthy older adults
<p>Data for the paper ''Alertness training increases visual processing speed in healthy older adults', by Melanie D. Penning, Adriana L. Ruiz-Rizzo, Petra Redel, Hermann J. Müller, Tiina Salminen, Tilo Strobach, Simone Behrens, Torsten Schubert, Christian Sorg, and Kathrin Finke.</p>
The Role of Sensory Perception, Emotionality and Lifeworld in Auditory Word Processing: Evidence from Congenital Blindness and Synesthesia
<p>Data set of Papadopoulos, J., Domahs, F., & Kauschke, C. (2017). The Role of Sensory Perception, Emotionality and Lifeworld in Word Processing: Evidence from Congenital Blindness and Synesthesia.<em> Journal of Psycholinguistic Research</em>. Online first: DOI 10.1007/s10936-017-9511-1.</p> <p>Data on request.</p>
Pre-processed turbidity-temperature reads for project TLCST
<p>dataset.csv -----------</p> <p>V1: filename for the raw file</p> <p>V2: protein concentration in uM</p> <p>V3: rna concentration in ug/mL</p> <p>V4: nacl concentration in mM</p> <p>protien MW = 22000 g/mol</p> <p>results.csv --------------------</p> <p>output from the following pipeline</p> <p>dataset2cloudpoint.R</p> <p>https://github.com/yanxianUCSB/jascorscript/tree/master/jws2cloudpoint</p> <p>requirement: R >= 3.3.0</p>
1.29 Å remote diffraction data and processing files of VAP crystallised in 0.5 M NaCl
<p>1.29 Å X-ray diffraction dataset collected from a crystal of <em>Vibrio</em> alkaline phosphatase grown in 0.5 M NaCl. Diffraction data were collected at the P11 beamline (DESY, Hamburg, Germany), using an X-ray wavelength of 1.033 Å. Also included are processing files form XDS and XSCALE. "SiM59_05MNaCl_remote.hkl" is the final processed reflections file.</p>
A new methodology using borehole data to measure angular distances between geological interfaces - Input and processed data
<p>This companion dataset relates to the manuscript "<strong>A new methodology using borehole data to measure angular distances between geological interfaces</strong>", by</p> <p>Michał P. Michalak<sup>a,b,</sup><a href="#sdfootnote1sym"><sup>1</sup></a>, Paweł Marzec<sup>b,</sup><a href="#sdfootnote2sym"><sup>2</sup></a>, Filip Turoboś<sup>c,</sup><a href="#sdfootnote3sym"><sup>3</sup></a>, Paulina Leonowicz<sup>d,</sup><a href="#sdfootnote4sym"><sup>4</sup></a>, Lesław Teper<sup>a,</sup><a href="#sdfootnote5sym"><sup>5</sup></a>, Paweł Gładki<sup>e,</sup><a href="#sdfootnote6sym"><sup>6</sup></a>, Michael J. Pyrcz<sup>f</sup><sup>,</sup><a href="#sdfootnote7sym"><sup>7</sup></a>,</p> <p>Mariusz Szubert<sup>g,</sup><a href="#sdfootnote8sym"><sup>8</sup></a></p> <p><a href="#sdfootnote1anc">1</a> Michał Michalak devised the project, wrote the manuscript, performed the computations and discussed the results.</p> <p><a href="#sdfootnote2anc">2</a> Paweł Marzec conducted the geological interpretation and discussed the results.</p> <p><a href="#sdfootnote3anc">3</a> Filip Turoboś conducted the statistical analysis.</p> <p><a href="#sdfootnote4anc">4</a> Paulina Leonowicz prepared the chapter about stratigraphy.</p> <p><a href="#sdfootnote5anc">5</a> Lesław Teper prepared the chapter about regional geology.</p> <p><a href="#sdfootnote6anc">6</a> Paweł Gładki participated in the study conceptualisation (discussion about distance functions)</p> <p><a href="#sdfootnote7anc">7</a> Michael Pyrcz discussed the applications of the method and revised the statistical section.</p> <p><a href="#sdfootnote8anc">8</a> Mariusz Szubert was responsible for the data acquisition.</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>
A set of table used in the manuscript published in the Multidimensional Systems and Signal Processing
<p>Table 1 shows a list of Kernel Function.</p> <p>Table 2 shows the geographic coordinate of the antenna position.</p> <p>The comparison of u-v coverage and the side-lobe levels estimation based on the proposed algorithm are shown in table 3 and table 4.</p> <p> </p>
A set of Figure used in the manuscript published in the Multidimensional Systems and Signal Processing.
<p>The Smoothed-pad Algorithm is taking advantage of the interaction between the target of interest and its neighbor (Figure 1).</p> <p>The graph of the six kernel functions based on table 1 can be seen in Figure 2.</p> <p>The location of pad used in the algorithm. The locations are pinned by red baloon.</p>
Role of Rheological behavior on biotransformation process of pig manure with Lactobacillus acidophilus
<p>Data base from Role of Rheological behavior on biotransformation process of pig manure with Lactobacillus acidophilus</p>
A multi-objective Bayesian optimization framework for the synthesis of methanol from syngas using interpretable Gaussian process models
<p>The data sets are synthesized with two reactors (1) Recycle reactor (2) Once through reactor. These reactors have a typical fixed bed of catalysts. The inlet parameter values are varied, and output parameter readings are recorded.</p> <p> </p>
The processed data of a landscape of immune microenvironment for Solid Tumors
<h3>This study provides a comprehensive and detailed atlas of the immune microenvironment for solid tumors. The dataset includes processed single-cell sequencing data from 25 types of solid tumors and 3 normal tissues.</h3>
Dataset related to article "Single-Cell and Single-Nucleus Multiomics Reveal Cardiac Endothelial Cell Heterogeneity and Novel Pathological Processes in Pressure Overload-Induced Hypertrophy"
<p>This record contains raw data related to article “<em><span>Single-Cell and Single-Nucleus Multiomics Reveal Cardiac Endothelial Cell Heterogeneity and Novel Pathological Processes in Pressure Overload-Induced Hypertrophy</span></em>"</p> <p>Endothelial cells, the most prevalent cellular population in the heart, line the internal walls of coronary and lymphatic vessels and form the endocardium and cardiac valves. The heterogeneity of cardiac endothelium poses a challenge in fully understanding endothelial states. However, to better grasp the plasticity of endothelial cell phenotypes, it's crucial to distinguish the varied responses of endothelial populations to physiological and pathological stimuli. Endothelial dysfunction plays a significant role in the development and progression of heart failure, a condition impacting millions globally. For the heart to sustain pressure-overload-induced remodelling, endothelial cells must proliferate and generate new blood vessels. When cardiomyocyte hypertrophy and angiogenesis become uncoupled, it leads to decompensated heart failure. Despite this, the molecular mechanisms governing cardiac vascularization during pathological hypertrophy remain unclear.</p> <p>Transcriptional phenotyping methods have been widely used to capture endothelial cell plasticity and heterogeneity. However, only single-cell profiling has effectively resolved distinct phenotypes. While single-cell RNA sequencing can create detailed cellular maps and cell-to-cell communication networks, it does not fully elucidate how gene regulatory programs are established or how cell states, functions, and responses are specified. To address these gaps, multimodal omics approaches have been developed, allowing for simultaneous profiling of chromatin accessibility and gene expression within the same cell.</p> <p>In our study, we aimed to characterize the transcriptional and epigenetic profiles of cardiac endothelial cells in a mouse model of pressure-overload-induced hypertrophy using multiomics bioinformatic approaches at single-cell resolution. This innovative technology enabled us to uncover the regulatory mechanisms that drive endothelial cell sub-population specifications following banding. Our resulting atlas is intended to serve as a valuable reference and resource for future studies and the development of therapeutic strategies targeting endothelial cells in cardiovascular diseases.</p>
2.52 Å crystal X-ray diffraction dataset and processing files: mCNPase V318I mutant, tetragonal crystal form
<p>2.52 Å X-ray diffraction data set of mouse CNPase phosphodiesterase domain, mutant V318I, tetragonal crystal form. Data were collected on the ID30A-3 beamline at the Europian Synchrotron Radiation Facility (ESRF). Also includes the XDS.INP and XSCALE.INP files used for data processing in XDS and XSCALE, processing results (XSCALE.LP) and the processed reflection file (CNP_11manual.HKL).</p>
1.66 Å crystal X-ray diffraction dataset and processing files: mCNPase V318I mutant, monoclinic crystal form
<p>1.66 Å X-ray diffraction data set of mouse CNPase phosphodiesterase domain, mutant V318I, monoclinic crystal form. Data were collected on the ID30A-3 beamline at the Europian Synchrotron Radiation Facility (ESRF). Also includes the XDS.INP and XSCALE.INP files used for data processing in XDS and XSCALE, processing results (XSCALE.LP) and the processed reflection file (CNP_17manual.HKL).</p>
Cosmo_rea6_processed
<p>Cosmo_rea6_processed</p>
data set related to article Sensory Profiles in School-Aged Children with Autism Spectrum Disorder: A Descriptive Study Using the Sensory Processing Measure-2 (SPM-2)
<p>This record contains raw data related to article Sensory Profiles in School-Aged Children with Autism Spectrum Disorder: A Descriptive Study Using the Sensory Processing Measure-2 (SPM-2)</p> <p>Per la richiesta di accesso al file contattare il Dr. Antonio Narzisi all'indirizzo email antonio.narzisi@fsm.unipi.it</p> <p> </p>
ScienceDex guides
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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.