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30,947 results for “Profile”
Rapid changes in transcriptomic profile and mitochondrial function in human soleus muscle after three-day dry immersion
<p>Supplemental Figures for a study <strong>Rapid changes in transcriptomic profile and mitochondrial function in human soleus muscle after three-day dry immersion</strong></p>
Prestorm atmospheric dynamic variable profiling dataset in Beijing as observed from the Radar wind profiler mesonet
<p>This dataset contains prestorm atmospheric dynamical variables of 30 minutes before rainfall onset in summer (June ~ August) for the period 2018–2019, which is determined by the measurements from the triangular mesonet of radar wind profile in Beijing. Each data file is stored in CSV format, containing the triangle area averaged divergence, vertical velocity and vorticity at 400、450、500、550, 600, 650, 700, 750, 775, 800, 825, 850, 875 and 900 hPa levels. The name for each data is formatted as RWP_YYYY_NNN hPa_Lead-MM min.csv, where YYYY refers to 2018 and 2019, NNN refers to 400、450、500、550, 600, 650, 700, 750, 775, 800, 825, 850, 875 and 900 hPa, and MM refers to 12, 18, 24, 30, 36 and 42 minutes prior to rainfall onset. </p>
Single-cell profiling of complex plant responses to pathogen infection
<p>Original images for figures and quantifications. </p>
Energy Profiler Raw Data Results
<p>Energy profiler data collected for the Masters' thesis of Linus Jungemann.</p>
Datasets for SPARKS (Splicing Profile Analysis using RBP KD/KO Signatures)
<p>Dataset for SPARKS, including library and examples</p>
SPARCQ: A new approach for fat fraction mapping using asymmetries in the phase-cycle bSSFP signal profile
<p>This repository contains <em>in vitro</em> and <em>in vivo</em> MRI data acquired on a 3T clinical system (MAGNETOM Prisma<sup>fit</sup>, Siemens Healthcare, Erlangen, Germany) using a commercially available 18-channel body coil. All data includes both magnitude and phase information in DICOM format.</p> <p>Data was collected and used in a study untitled "<strong>SPARCQ: A new approach for fat fraction mapping using asymmetries in the phase-cycled bSSFP signal profile</strong>" by Rossi <em>et. al.</em> (2023).</p> <p>The detailed contents of the repository are listed below:</p> <ul> <li><strong>/PHANTOM</strong>: 3D acquisitions of a custom fat-water phantom with 6 vials of different peanut oil and water concentrations <ul> <li><strong>/PCbSSFP</strong> N<sub>PC</sub>=37 Phase-Cycled bSSFP acquisitions with phase increments [0°:10°:360°]</li> <li><strong>/MEGRE</strong> MultiEcho GRE acquisition with 13 monopolar echoes TE<sub>1</sub>/<span class="math-tex">\(\Delta\)</span>TE=1.34/1.98 ms</li> </ul> </li> <li><strong> /V1</strong> to <strong>/V6</strong>: 3D knee acquisitions from n=6 healthy volunteers <ul> <li><strong>/Scan </strong>N<sub>PC</sub>=37 Phase-Cycled bSSFP acquisitions with phase increments [0°:10°:360°]</li> <li><strong>/Rescan</strong> N<sub>PC</sub>=37 Phase-Cycled bSSFP acquisitions with phase increments [0°:10°:360°] after volunteer repositioning (repeatability experiment)</li> <li><strong>/Dixon</strong> In-phase, out-of-phase, fat-only and water-only images reconstructed from a Turbo Spin Echo Dixon sequence</li> </ul> </li> <li> <strong>/V7 </strong>and <strong>/V8</strong>: 3D knee acquisitions from n=2 healthy volunteers <ul> <li><strong>/Scan </strong>N<sub>PC</sub>=37 Phase-Cycled bSSFP acquisitions with phase increments [0°:10°:360°]</li> <li><strong>/MEGRE </strong>MultiEcho GRE acquisition with 13 monopolar echoes TE<sub>1</sub>/<span class="math-tex">\(\Delta\)</span>TE=1.34/1.98 ms</li> </ul> </li> </ul> <p>************************************************************************************************************************************************************************************************************************************************************</p> <p><strong>Link to publication: <a href="https://onlinelibrary.wiley.com/doi/full/10.1002/mrm.29813">https://onlinelibrary.wiley.com/doi/full/10.1002/mrm.29813</a> </strong></p> <p>************************************************************************************************************************************************************************************************************************************************************</p> <p>Data was collected and approved for sharing according to institutional rules (Ethics Commitee, CHUV, Lausanne, Switzerland).</p>
Alzheimer's disease-induced phagocytic microglia express specific profile of coding and non-coding RNAs
<p>This repository contains the data and the code used in Flavia's project.</p> <p>A folder can contain the starting raw data in "data", the R scripts in order of execution (op1, op2 ..) and the "output" folder that contains the final processed data of each operation.</p> <ul> <li>"BV2_analysis" contains the processing and analysis of the bulk RNA sequencing data with the different miRNAs in study</li> <li>"BV2_fastq_nfcore" contains the results of processing the fasta sequences with nfcore rnaseq workflow</li> <li>"Proinf_analysis" contains the analysis of the external bulk RNA sequencing data with the different studies of proinflammatory microglial cells</li> <li>"Spatial_data_analysis" contains the raw data of the spatial sequencing, the assempbly of the spatial expression profiles starting from the DAPI images and the transcripts coordinates, the analysis performed on the data</li> <li>"Spatial_U_scRNA_analysis" contains the code that integrates the spatial sequencing with the scRNA sequencing, plus the code of the analysis</li> </ul>
FIG. 11. — Lactarius aurantiobrunneus X.H in Fungal Biodiversity Profiles 81-90
FIG. 11. — Lactarius aurantiobrunneus X.H. Wang, sp. nov. (HKAS 101912, holotype): A, basidiospores; B, pleuromacrocystidia; C, lamella edge; D, pileipellis. Scale bars: A, 5 μm; B, 20 μm; C, D, 25 μm.
FIG. 23 in Fungal Biodiversity Profiles 81-90
FIG. 23. — Maximum parsimony Strict consensus tree illustrating the phylogeny of Serpula dendrocalami C.L. Zhao, sp. nov., and related species in Serpula based on nLSU sequences. Branches are labeled with parsimony bootstrap values (before slash) higher than 50% and Bayesian posterior probabilities (after slash) equal to and more than 0.95. The nLSU dataset included sequences from 16 fungal specimens representing 8 species. The dataset had an aligned length of 1411 characters, of which 1158 characters are constant, 69 are variable and parsimony-uninformative, and 184 are parsimony-informative. Maximum parsimony analysis yielded 4 equally parsimonious trees (TL = 321, CI = 0.854, HI = 0.146, RI = 0.947, RC = 0.808). Best model for the nLSU dataset estimated and applied in the Bayesian analysis: GTR+I+G, lset nst = 6, rates = invgamma; prset statefreqpr = dirichlet (1,1,1,1). Bayesian analysis and ML analysis resulted in a similar topology as MP analysis, with an average standard deviation of split frequencies = 0.003841 (BI). This phylogenetic analysis demonstrated that our species was closely related to S. similis (Berk. & Broome) Ginns. Nuclear LSU region was amplified with primer pairs LR0R and LR7 (http://www.biology.duke.edu/fungi/mycolab/primers.htm). The PCR procedure for nLSU was as follows: initial denaturation at 94 °C for 1 min, followed by 35 cycles at 94 °C for 30 s, 48 °C 1 min and 72 °C for 1.5 min, and a final extension of 72 °C for 10 min. The PCR products were purified and directly sequenced at Kunming Tsingke Biological Technology Limited Company. All newly generated sequences were deposited at GenBank (Table 1). Branches are labeled with parsimony bootstrap values (before slash) higher than 50% and Bayesian posterior probabilities (after slash) equal to and more than 0.95.
RNA-seq gene expression profiles from female ER-positive HER2-normal breast cancer patients
<p>Diagnostic samples (<em>n</em> = 59) from female breast cancer patients with ER-positive and HER2-normal tumors selected for neoadjuvant chemotehrapy.<br> </p> <p><strong>Data contents</strong></p> <table> <tbody> <tr> <td>README.txt</td> <td>README file</td> </tr> <tr> <td>meta_mat.tsv</td> <td>Metadata table</td> </tr> <tr> <td>expr_mat_probes.tsv.gz</td> <td>Expression matrix with probeset identifiers</td> </tr> <tr> <td>expr_mat_genes.tsv.gz</td> <td>Expression count matrix with gene identifiers</td> </tr> </tbody> </table>
Modeling the signatures of interaction in Type II supernovae: UV emission, high-velocity features, broad-boxy profiles
<p>Model spectra</p>
Effects of maternal calcium propionate supplementation on offspring productivity and meat metabolomic profile in sheep
<p>meat metabolome from lambs</p>
Validation of E-region Model Electron Density Profiles using High-Resolution Cross Sections
<p>Zenodo Dataset:</p> <ol> <li> <p>Arecibo ISR observation on February 9, 2012</p> </li> <li> <p>COSMIC-1 GPS radio occultation on February 9, 2012</p> </li> <li> <p>Millstone Hills ISR observation on February 16, 2012</p> </li> <li> <p>IRI-2016 output</p> </li> <li> <p>AURIC model outputs</p> </li> <li> <p>Geomagnetic and Solar indices on February 2012</p> </li> <li> <p>Associated python scripts to read and plot data</p> </li> </ol>
D-LMBmap: A fully automated deep learning pipeline for whole-brain profiling of neural circuitry
<p>Source data file of D-LMBmap.</p>
The AUX1-AFB1-CNGC14 module establishes a longitudinal root surface pH profile supplementary figures
<p>Raw microscopy data associated with the publication "The AUX1-AFB1-CNGC14 module establishes a longitudinal root surface pH profile" in elife journal.</p> <p>Supplementary figures</p>
Mean solar rotation profile from GONG splittings 1995-2009
<p>This is the average of 2-dimensional regularized least squares inversions of GONG solar rotational splittings covering all available datasets from 1995-2009. The details of the analysis can be found in the article by R. Howe et al, Bibcode 2005ApJ...634.1405H, DOI 10.1086/497107, but this dataset was extended up to 2009 and is the one behind the plot at https://nso.edu/telescopes/nisp/#foobox-1/2/gongcut.png.</p> <p> </p> <p> </p>
Phosphoproteomics profiling of mice with genetic deletions in Ku70
<p>Phosphoproteomics data for WT, Ku70 +/- and Ku70 -/- mice.</p>
Profiles of Social and Emotional Learning Skills and Learning Environment Factors in Adolescents: A Latent Profile Analysis
<p>data</p>
Fig. 4 in Guaiane-rich phytochemical profile of Centaurea kotschyi subsp. persica (Boiss.) Wagenitz and identification of hypoglycaemic metabolites
Fig. 4. Chemical conversions for determination of absolute configuration of kotschyol A (7).
Fig. 1 in What Socrates drank? Comparative chemical investigation of two Greek Conium taxa exhibiting diverse chemical profiles
Fig. 1. Structures of compounds 1–3 isolated from Conium divaricatum.
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.