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6,467 results for “process”
Single-cell transcriptomics analysis of the repair process of ligament breaks
GEO Series GSE199280. Homo sapiens. 6 samples. Type: Expression profiling by high throughput sequencing.
A diet enriched with biologically active substances as a protecting factor against carcinogenesis process induced by 1,2-dimethylhydrazine in rat liver
GEO Series GSE55378. Rattus norvegicus. 12 samples. Type: Expression profiling by array.
Dissection of heterogeneity during cardiac maturation process by single-cell RNA sequencing
GEO Series GSE72612. Homo sapiens. 95 samples. Type: Expression profiling by high throughput sequencing.
Measurement data evaluating stream processing on HPC systems
<p>Measurement data evaluating different setups and options for stream processing on the Cori supercomputer at NERSC.</p> <p>To access the data, download the files and use the following commands:</p> <pre><code>cat stream_hpc.tar.gz_part_* > stream_hpc.tar.gz tar xzf stream_hpc.tar.gz</code></pre> <p> </p>
Data associated with 'Processes at the margins of supraglacial debris cover: quantifying dirty ice ablation and debris redistribution'
<p>Data associated with Fyffe, C. L., Woodget, A. S., Kirkbride, M. P., Deline, P., Westoby, M. J. and Brock, B. W. (2020) Processes at the margins of supraglacial debris cover: quantifying dirty ice ablation and debris redistribution, Earth Surface Processes and Landforms, doi:10.1002/esp.4879.</p> <p>The file All_quadrat_data_Z contains the data associated within each of the quadrats which were positioned on the ice surface. Some of the values are extracted from the UAV derived data within the area of the quadrat, while other data is based on measurements from the ground truth images (taken at ground level). The main data types are given below. The data sub-types and units are given in the file header.</p> <ul> <li>Quadrat: Quadrat name</li> <li>Elevation: Elevation from the UAV DEM</li> <li>Aspect: Aspect from the UAV DEM</li> <li>Ablation: Ablation derived from the UAV products (see the paper for details)</li> <li>Albedo: Measured albedo</li> <li>Rock_stats_image: Statistics on the clasts sampled from the ground truth image of the quadrat</li> <li>Debris_cover: Percentage debris cover derived from both the ground truth image (point) and UAV derived orthophotos</li> <li>Rock_stats_meas: Statistics on the clasts measured in the field</li> </ul> <p>The file Feature_Tracking_Data_Z contains data on clast movement, derived by locating the same clasts in the July and August orthophotos. The August orthophoto location was corrected for ice flow. The main data types are given below. The data sub-types and units are given in the file header.</p> <ul> <li>Coordinates: Locations of the points on the clasts in the July and August orthophotos</li> <li>Elevation: Elevation from the UAV derived DEMs</li> <li>Slope_from_slope_map: Slope from the UAV derived DEMs</li> <li>Surface: Either dirty ice (partial debris cover, or debris (continuous cover)</li> <li>Clast_length: A-axis length of the tracked clast</li> <li>Track_lines_stats: Characteristics of the line joining the clast locations</li> <li>Clast_velocity: Velocity of the tracked clast. Note the velocities derived from the distance measured over the surface were used for the analysis in the paper.</li> </ul> <p>The file Profiles_Data_Z contains the elevation and ablation data extracted following four cross-profiles which crossed the study area. Tables are also included giving the calculated moraine slope gradients and their change over time. The main data types are:</p> <ul> <li>Distance: The distance along the cross-section</li> <li>Elevation: The elevation from either the July or August DEM</li> <li>Ablation: The ablation value from the map of spatially continuous ablation.</li> </ul> <p>The folder GIS_Data_Z contains a range of GIS data associated with the paper. Included in the Zip file is an ArcMap document 'GIS_Data_Dirty_Ice' which includes all the data, along with a Word document ('Metadata for GIS data') which describes each of the files included within the ArcMap document. Briefly, the included data covers ground truth data (georeferenced ground truth photos, sample points and their classification, clast sizes, quadrat georeferencing information), clast track data (over the study area and the small scale clast tracks), stake data (measured and modelled ablation, calculated horizontal velocities and combined slope and emergence values), mapped ablation, percentage debris cover (and the difference in percentage cover), orthophotos, elevation data (and the cross-sections used to extract this) and the boundaries between the dirty and debris-covered ice. All data sets are in the WGS 1984 UTM Zone 32N coordinate system.</p> <p>The folder Percent_Debris_Analysis_H_Z contains the data used to derive Figure 5 (ablation and percentage debris cover data) in Matlab format (.mat file). It also includes the code used to make the figure. More details on file names will not be given here as the code documents the analysis steps.</p> <p>If any further information is required about the data then please get in contact with Catriona Fyffe.</p> <p> </p>
DATASET - Intervention: process-oriented feedback on synthesis writing
<p>Dataset corresponding to an intervention study carried out within the LIFT-project on synthesis writing. The dataset contains product (text quality) and process (KSL measures) data of 65 participants. </p>
FIGURE 7 in A new remarkable Isoperla species with abdominal processes from Hubei Province of Central China (Plecoptera: Perlodidae)
FIGURE 7. Isoperla sextuberculata sp. nov., female, subgenital plate, ventral view.
FIGURE 4 in A new remarkable Isoperla species with abdominal processes from Hubei Province of Central China (Plecoptera: Perlodidae)
FIGURE 4. Isoperla sextuberculata sp. nov., setae on male terga 4–8.
FIGURE 2 in A new remarkable Isoperla species with abdominal processes from Hubei Province of Central China (Plecoptera: Perlodidae)
FIGURE 2. Isoperla sextuberculata sp. nov., male, head and pronotum.
FIGURE 3 in A new remarkable Isoperla species with abdominal processes from Hubei Province of Central China (Plecoptera: Perlodidae)
FIGURE 3. Isoperla sextuberculata sp. nov., male abdomen, dorsal view.
FIGURE 6 in A new remarkable Isoperla species with abdominal processes from Hubei Province of Central China (Plecoptera: Perlodidae)
FIGURE 6. Isoperla sextuberculata sp. nov., male abdomen, ventral view.
FIGURE 1 in A new remarkable Isoperla species with abdominal processes from Hubei Province of Central China (Plecoptera: Perlodidae)
FIGURE 1. Isoperla sextuberculata sp. nov., male habitat.
Cyclophilin A/EMMPRIN Axis Is Involved in Pro-Fibrotic Processes Associated with Thoracic Aortic Aneurysm of Marfan Syndrome Patients
<p>Abstract: Background: Marfan syndrome (MFS) is a genetic disease, characterized by thoracic aortic aneurysm (TAA), which treatment is to date purely surgical. Understanding of novel molecular targets is mandatory to unveil effective pharmacological approaches. Cyclophilin A (CyPA) and its receptor EMMPRIN are associated with several cardiovascular diseases, including abdominal aortic aneurysm. Here, we envisioned the contribution of CyPA/EMMPRIN axis in MFS-related TAA. Methods: We obtained thoracic aortic samples from healthy controls (HC) and MFS patients’ aortas and then isolated vascular smooth muscle cells (VSMC) from the aortic wall. Results: our findings revealed that MFS aortic tissue samples isolated from the dilated zone of aorta showed higher expression levels of EMMPRIN vs. MFS non-dilated aorta and HC. Interestingly, angiotensin II significantly stimulated CyPA secretion in MFS-derived VSMC (MFS-VSMC). CyPA treatment on MFS-VSMC led to increased levels of EMMPRIN and other MFS-associated pro-fibrotic mediators, such as TGF-β1 and collagen I. These molecules were downregulated by in vitro treatment with CyPA inhibitor MM284. Our results suggest that CyPA/EMMPRIN axis is involved in MFS-related TAA development, since EMMPRIN is upregulated in the dilated zone of MFS patients’ TAA and the inhibition of its ligand, CyPA, downregulated EMMPRIN and MFS-related markers in MFS-VSMC. Conclusions: these insights suggest both a novel detrimental role for CyPA/EMMPRIN axis and its inhibition as a potential therapeutic strategy for MFS-related TAA treatment.</p>
Data for: The influence of microbially induced calcite precipitation on subsurface transport processes in cement at the pore scale
<p>This is the dataset for the paper "The influence of microbially induced calcite precipitation on subsurface transport processes in cement at the pore scale" in AWR. </p>
Dataset from "A new simulation method of hydrothermal coupling transfer in freeze-thaw process based on the water physical phase change"
<p>The original dataset comprises precipitation and atmospheric temperature monitoring data for the entire duration of 2020-2021 in the region located in Fusong County, Baishan City, southeastern Jilin Province (127°01'-128°06'E, 41°42'-42°49'N, covering an area of 6159 square kilometers)., along with temperature and moisture monitoring data for two designated sites, T01 and T02, at soil depths of 20cm, 40cm, 70cm, 100cm, and 150cm.</p>
Clinical and biochemical markers of the neurodegenerative process in Alzheimer's disease
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Certificates and Witnesses for Multi-Objective Queries in Markov Decision Processes - Artefact
<div> <h1>Artefact for CAV 2024</h1> <a href="https://github.com/cxlvinchau/cav2024-experiments#artefact-for-cav-2024"></a></div> <p>This artefact accompanies the submission "Certificates and Witnesses for Multi-Objective Queries in Markov Decision Processes".</p> <div> <h2>Contents of this artefact</h2> <a href="https://github.com/cxlvinchau/cav2024-experiments#contents-of-this-artefact"></a></div> <p>This artefact consists of two different folders, namely <code>data</code> and <code>software</code>.</p> <div> <h3>The <code>data</code> folder</h3> <a href="https://github.com/cxlvinchau/cav2024-experiments#the-data-folder"></a></div> <p>The <code>data</code> folder contains data and results presented in the experimental section, along with models and properties that have been used. For every model and type of query (mean-payoff or reachability), there is a separate folder, containing the following types of files:</p> <ul> <li><code>data.csv</code> - A csv file where each row corresponds to a query and a model the query was considered for. Every row then contains information on the runtimes and model sizes. A detailed explanation of the columns can be found in the <code>README.md</code> of the data folder.</li> <li>PRISM model files with <code>.nm</code> or <code>.prism</code> extension, corresponding to the models used for the experiments.</li> <li>PRISM property files with <code>.props</code> extension, corresponding to the queries used for the experiments.</li> <li>A <code>README.md</code> with notes on the origins of the models.</li> </ul> <div> <h3>The <code>software</code> folder</h3> <a href="https://github.com/cxlvinchau/cav2024-experiments#the-software-folder"></a></div> <p>The <code>software</code> directory contains our implementation of the presented techniques, including computation of the certificates (aka certification), computation of witnessing schedulers and the computation of minimal witnessing subsystems. It consists of the following components:</p> <ul> <li><code>cpmc</code> contains the Python implementation of the techniques and consists of several submodules: <ul> <li><code>cpmc/core</code> implements classes for representing MDPs and other modeling components</li> <li><code>cpmc/mean_payoff</code> implements the techniques for working with multi-objective mean-payoff queries</li> <li><code>cpmc/reachability</code> implements the techniques for working with multi-objective reachability queries</li> <li><code>cpmc/prism</code> implements the translation of subsystems to PRISM code</li> <li><code>cpmc/test</code> contains unit tests that can be run by navigating into the folder and running <code>pytest .</code></li> </ul> </li> <li><code>experiments</code> contains scripts and utility files for running the experiments: <ul> <li><code>experiments/phil.py</code> Script for running the dining philosophers experiment</li> <li><code>experiments/csn.py</code> Script for running the csn mean-payoff experiment</li> <li><code>experiments/csn_reachability.py</code> Script for running the csn reachability experiment</li> <li><code>experiments/sensors.py</code> Script for running the sensors experiment</li> <li><code>experiments/consensus.py</code> Script for running the consensus (coin) experiment</li> <li><code>experiments/firewire.py</code> Script for running the firewire experiment</li> <li><code>experiments/main.py</code> Command line interface for runnign the experiments</li> </ul> </li> </ul>
Impact of urbanized atmosphere-land processing to the near-ground distribution of air pollution over Central Liaoning Urban Agglomeration
<pre>------------------------- Content of the dataset ------------------------- ****** the experiment case (EXP) ; the control case (CTR) ******<br> 1. ABLH.rar contains the horizontal spatial distribution data of simulated Atmospheric Boundary Layer Height (ABLH) by CTR and EXP at four typical moments chosen in the paper, which can be utilized for drawing Fig. 8.<br><br>2. TSK.rar contains the horizontal spatial distribution data of simulated near-surface temperature (TSK) by CTR and EXP at four typical moments chosen in the paper, which can be utilized for drawing Fig. 4. <br>3. PM.rar contains the vertical profile data of simulated Particulate Matter concentrations by CTR and EXP during the study period in the paper, which can be utilized for drawing Fig. 11.<br><br>4. Timerseries_data.xlsx contains the observed and simulated data for timeseries of TSK, ABLH, PM and and the vertical profile data of temperature at four typical moments chosen in the paper,which can be utilized for drawing Fig. 3、5、7、9、10、S1-S4.<br><br>5. wrfbiochemi.rar contains the biogenic emissions data for simulation both for CTR and EXP.<br><br>6. wrffirechemi.rar contains the biomass burning emissions data for simulation both for CTR and EXP.<br><br>7. wrfchemi.rar contains the Anthropogenic emissions data for simulation both for CTR and EXP.<br><br>8. The file module_sf_pkuurban.F contains the main code of the improved urban canopy model, the Multi-Scale Urban Canopy Model (MSUCM), which is coupled to WRF-Chem and used by EXP. It is located in the phys/ directory and called by surface_driver.F.<br><br>------------------------- Contact information ------------------------- Zhenxin Liu liuzhenxin@nuist.edu.cn</pre>
SX Data Processing Results with CTDD Variations
<p>Data Processing Files</p> <p>Data: Data processing results of lysozyme obtained by serial synchrotron crystallography<br>Data processing software: CrystFEL<br>Indexing algorithms: MOSFLM, DirAx, XGANDALF<br>Note: The numbers in the file names indicate the crystal-to-detector distance.</p>
Response of hydrological processes to event- and annual-scale precipitation extremes in the critical zone of the hillside surface
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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.