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6,467 results for “process”
Gene structure, differential exon usage, and expression of the testis long intergenic non-protein coding RNA 1016 in humans reveals isoform-specific roles in controlling biological processes
GEO Series GSE171047. Homo sapiens. 16 samples. Type: Expression profiling by high throughput sequencing.
Ovarian cancer mutational processes drive site-specific immune evasion
GEO Series GSE180661. Homo sapiens. 283 samples. Type: Expression profiling by high throughput sequencing.
Mucin Acts as a Nutrient Source and a Signal for the Differential Expression of Genes Coding for Cellular Processes and Virulence Factors in Acinetobacter baumannii
GEO Series GSE100582. Acinetobacter baumannii. 6 samples. Type: Expression profiling by high throughput sequencing.
Glucocorticoid-induced alterations of skeletal stem cell-based processes
GEO Series GSE253044. Mus musculus. 8 samples. Type: Expression profiling by high throughput sequencing.
Contribution and Quality Metrics for Quantifying the Software Development Process Dataset
<p>This dataset contains the Contributions and Quality data regarding the 3,000 most starred GitHub Java projects towards Quantifying<br> the Software Development Process.</p> <p>You can use the dataset simply with the following steps:</p> <p> 1. Download the data.</p> <p> 2. Navigate to the download folder and use the mongorestore (<a href="https://docs.mongodb.com/manual/reference/program/mongorestore/">https://docs.mongodb.com/manual/reference/program/mongorestore/</a>) command. (Have in mind to use the --gzip flag)</p>
Dataset from the article, "Interference by linguistic processes in the occurrence of lyrics in involuntary musical imagery"
<p>Dataset from the article, "Interference by linguistic processes in the occurrence of lyrics in involuntary musical imagery", in Journal of Cognitive Psychology.</p>
Data set for "Determining the minimum energy requirement of an LNG process: New insights into the impact of the vapour liquid equilibrium"
<p>Accompanying information for Xuan et al, 2020, "Determining the minimum energy requirement of an LNG process: New insights into the impact of the vapour liquid equilibrium", Energy, Paper number 117785, <a href="https://doi.org/10.1016/j.energy.2020.117785">https://doi.org/10.1016/j.energy.2020.117785</a></p>
Modeling tectonics and surfaces processes interaction in a continental and marine environment : the case of the Algerian margin
<p><em><strong>The dataset :</strong></em></p> <p>The directory DATASET.zip provides data from an analog modeling experiment investigating the mechanics of passive margin tectonic inversion and the couplings between tectonics and onshore/offshore morphogenetic processes, applied to the study of the Plio-Quaternary evolution of the Algerian Margin (Northern Africa). This experiment is fully described and the model outcomes discussed in Strzerzynski et al. (submited to JGR 06/2020).</p> <p>The data set contains three Movies (referenced as 2D-S1, 3D-S2 and 2D-S3.mp4) showing the model evolution from three different points of view. Movie 2D-S1.mp4 and Movie 3D-S2.mp4 correspond to general upper and oblique views of the whole experiment, respectively. Movie Zoom 2D-S3.mp4 shows a focused upper view of a part of the experiment during the margin tectonic inversion.</p> <p>Model evolution consists first by a massive sea level drop down and low stand in absence of tectonics simulating the Messinian Salinity Crisis (between 2'' and 28'' of video record) followed by an instantaneous, (rainfall is stopped), sea level rise (between 28'' and 41'' of video record). Second, after a short period of quiescence, shortening is applied to the model leading to the tectonic inversion of the margin (last 60 second of the record).</p> <p><em><strong>The analog model :</strong></em></p> <p>The experimental set-up used in this study has been developed at the Geosciences Montpellier Analog Modeling laboratory at the University of Montpellier, France (contact: Dr. S. Dominguez, <a href="mailto:stephane.Dominguez@gm.univ-montp2.fr">stephane.Dominguez@gm.univ-montp2.fr</a>). It is constituted by a mechanical apparatus to deform the analogue model, a rainfall system to erode its surface, and a digital monitoring device used to quantify model evolution during the experiment. The deformation device is made of an aluminum structure supporting a bended PVC plate bounded by glass/PVC walls and a rigid backstop. A Mylar/carbon sheet, lying on the PVC plate, is pulled beneath the backstop using a computerized stepping motor to impose model shortening. The rainfall system uses up to 8 sprinklers to diffuse water micro-droplets over the model surface. Water runoff enhances erosion of the emerged part of the model triggering several natural processes shaping the topography such as; channel incision in the drainage network, slope diffusion and gravity controlled landslides. In the submarine part of the model, sedimentation processes dominate but gravity driven instabilities also contribute to shape the submarine morphology.</p>
Data for "Towards standardized processing of eddy covariance flux measurements of carbonyl sulfide"
<p>The final data set used in manuscript "Towards standardized processing of eddy covariance flux measurements of carbonyl sulfide" by Kohonen et al. (2020). The data set contains carbonyl sulfide (COS), carbon dioxide (CO2), carbon monoxide (CO) and water vapor (H2O) fluxes, together with flux ancillary data, measured at Hyytiälä forest in Juupajoki, Southern Finland, from July 2015 to October 2015. Hyytiala_COS_ECflux_2015.csv includes the quality screened flux data without u* filtering or storage correction. Final_ECfluxes_2015.dat includes the final data set of quality screened, u* filtered, storage corrected and gap-filled flux data. Raw data and data processed with other processing options are available upon request from the author.</p>
Parvalbumin expression in oligodendrocyte-like CG4 cells causes a reduction in mitochondrial volume, attenuation in reactive oxygen species production and a decrease in cell processes' length and branching
<p>Forebrain glial cells - ependymal cells and astrocytes -acquire upon injury- a “reactive” phenotype associated with parvalbumin (PV) upregulation. Since free radicals, e.g. reactive oxygen species (ROS) play a role in the pathogenesis of multiple sclerosis, and that PV-upregulation in glial cells is inversely correlated with the level of oxidative stress, we hypothesized that PV-upregulation might also protect oligodendrocytes by decreasing ROS production. Lentiviral transduction techniques allowed for PV overexpression in CG4 oligodendrocyte progenitor cells (OPCs). Depending on the growth medium CG4 cells can be maintained in an OPC-like state, or induced to differentiate into an oligodendrocyte (OLG)-like phenotype. While increased levels of PV had no effect on cell proliferation and invasiveness <em>in vitro</em>, PV decreased the mitochondria volume in CG4 cell bodies, as well as the mitochondrial density in CG4 processes in both OPC-like and OLG-like states. In line with the PV-induced global decrease in mitochondrial volume, elevated PV levels reduced transcript levels of mitochondrial transcription factors involved in mitochondria biogenesis. In differentiated PV-overexpressing CG4 cells with a decreased mitochondrial volume, UV-induced ROS production was lower than in control CG4 cells hinting towards a possible role of PV in counteracting oxidative stress. Unexpectedly, PV also decreased the length of processes in undifferentiated CG4 cells and moreover diminished branching of differentiated CG4 cell processes, strongly correlated with the decreased density of mitochondria in CG4 cell processes. Thus besides conferring a protective role against oxidative stress, PV in a cell autonomous fashion additionally affects process’ growth and branching in CG4 cells.</p>
Data from Schmitt et al. 2018: Preattentive and Predictive Processing of Visual Motion
<p><strong>Dataset associated with the following publication:</strong></p> <p>Schmitt C, Klingenhoefer S, Bremmer F. Preattentive and Predictive Processing of Visual Motion. <em>Sci Rep</em>. 2018;8(1):12399. Published 2018 Aug 17. doi:10.1038/s41598-018-30832-9</p> <p><strong>Description of dataset:</strong></p> <p>The dataset contains preprocessed EEG data recorded from the 15 electrodes (Cz, Fz, FCz, FC1, FC2, F3, F4, FC5, FC6, P3, P4, P7, P8, PO3, PO4) used for analysis in our paper. Data containing eye movements, blinks or a movement response of the participants were removed. As a reference the average signal of the mastoid electrodes TP9 and TP10 was used.</p> <p>In a first preporcessing step data were low pass filtered with a cut-off frequency of 70 Hz and additionally a Notch filter at 50 Hz was applied. In a second step data were aligned to the (re)appearance of the moving target next to the central occluder and cut into 850 ms long epochs ranging from 200 ms before this (re)appearance to 650 ms after this time point. The average signal from a 50 ms long time window starting 50 ms before the (re)appearance was used for a baseline correction of each epoch before epochs were averaged separately for subjects and conditions as a last preprocessing step. </p> <p>Each uploaded file contains data of all 8 participants and all 15 electrodes separately for the four different conditions: 1) target movement to the right in complete trajectory trails (data_movedirR_complete_trajectory.mat); 2) target movement to the left in complete trajectory trails (data_movedirL_complete_trajectory.mat); 3) target movement to the right in half trajectory trails (data_movedirR_half_trajectory.mat); 4) target movement to the left in half trajectory trails (data_movedirL_half_trajectory.mat).</p> <p>Each file contains 30 matrices for the half trajectory conditions and 60 matrices for the complete trajectory conditions. Each matrix presents the data recorded at one electrode, for one type of trial (standard "AllS", deviant "AllD" or half trajectory "AllH") and one attention condition (attention to the fixation target, central "1" and attention to the moving target, peripheral "2"). Example: "P3_AllD_1"</p> <p>Each matrix consists of 8 lines representing the 8 participants. Data for the relevant condition was averaged for each participant and is presented in a separate line. The matrices consist of 850 columns representing the length of the presented recording time of 850 ms. Data from 200 ms before to 650 ms after the (re)appearance of the moving target is presented. The uploaded matrices contain values in µV.</p>
Processed data from "Human and rat skeletal muscle single-nuclei multi-omic integrative analyses nominate causal cell types, regulatory elements, and SNPs for complex traits"
<p>This is the processed data from our manscript "Human and rat skeletal muscle single-nuclei multi-omic integrative analyses nominate causal cell types, regulatory elements, and SNPs for complex traits"</p>
Figure 13 from: Owen D, Livermore L, Groom Q, Hardisty A, Leegwater T, van Walsum M, Wijkamp N, Spasić I (2020) Towards a scientific workflow featuring Natural Language Processing for the digitisation of natural history collections. Research Ideas and Outcomes 6: e55789. https://doi.org/10.3897/rio.6.e55789
Figure 13 Gold standard versus NER output.
Figure 12 from: Owen D, Livermore L, Groom Q, Hardisty A, Leegwater T, van Walsum M, Wijkamp N, Spasić I (2020) Towards a scientific workflow featuring Natural Language Processing for the digitisation of natural history collections. Research Ideas and Outcomes 6: e55789. https://doi.org/10.3897/rio.6.e55789
Figure 12 An example of a specimen label.
Figure 10 from: Owen D, Livermore L, Groom Q, Hardisty A, Leegwater T, van Walsum M, Wijkamp N, Spasić I (2020) Towards a scientific workflow featuring Natural Language Processing for the digitisation of natural history collections. Research Ideas and Outcomes 6: e55789. https://doi.org/10.3897/rio.6.e55789
Figure 10 Results per field from Google Cloud Vision.
Cleaned and pre-processed MS/MS datset (build from all positive ionmode spectra in GNPS)
<p>MS/MS dataset build from data that was obtained from GNPS (accessed on 2020-05-11): <a href="https://gnps-external.ucsd.edu/gnpslibrary/ALL_GNPS.json">https://gnps-external.ucsd.edu/gnpslibrary/ALL_GNPS.json</a></p> <p>The data was cleaned and pre-processed using notebooks provided here: https://github.com/iomega/spec2vec_gnps_data_analysis/tree/master/notebooks</p> <ul> <li>112,956 spectra</li> <li>metadata was cleaned and corrected using matchms (https://github.com/matchms/matchms) and lookup routines using PubChem</li> <li>92,954 of the spectra have Smiles and InchiKey (13717 unique InchiKey in first 14 characters)</li> </ul>
TiO2 processing on paper
<p>This video shows how to process a mesoscopic layer of TiO2 on paper substrate.</p>
Visualization of the process of lightning initiation in a thundercloud
<p>This movie visualizes the evolution of 3D streamer / hot-channel systems at 6.5 km altitude in a uniform upward directed electric field, whose magnitude is equal to 70 kV/m. Low-conductivity channels of positive and negative polarity are shown in green and gray, respectively. Channel segments with conductivities higher than 1 S/m (assumed to be “hot”) are shown in red. All three axes are labeled in meters.</p>
Supplementary material for manuscript: Microcomputed X-ray Tomographic Imaging and Image Processing for Microstructural Characterization of Explosives
<p>This data contains the supplemental information that will be accessible to the public from the paper “Microcomputed X-ray Tomographic Imaging and Image Processing for Microstructural Characterization of Explosives”. The data set contains the reconstructed slices for the 3D images of three different high explosives including: HMX-HTPB, PBX 9501 and PBX 9502. The data sets are folders of reconstructed tiffs showing the microstructure (crystals, binder, voids) and a segmented data set of each. Finally, a .gif movie is also present that plays the slices sequentially. The folders contain the voxel size information. See the manuscript for more details.</p>
Interoperability and discursive process about categories
<p>With interdisciplinary contexts and various epistemic points of view, Digital Humanities implies taking into account social dimensions in the production of tools, methods, and archive processes.<br> From a pragmatic point of view, Digital humanities activities involve complex interpretative processes, linking human (individual and collective understanding) and algorithmic computation spaces. This articulation is emphasized In Prospéro software, but still has to support community dialog processes, which can be understood according to the Vocabulary alignment paradigm or socio-anthropological usage of language paradigm. In order to do so, we give some exploratory guidelines to express and historicize taxonomic processes and define the conditions by which algorithms could support such developments</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.