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1,930 results for “Matrix”
Last glacial cycle simulations forced by PMIP3 climate with a matrix and index method using a 3D thermodynamical ice-sheet model IMAU-ICE
<p>IMAU-ICE 2.0 model output of the ice evolution during the last glacial cycle at a 10 ka temporal resolution, as described in Scherrenberg at al., 2023.</p>
Single-cell and spatial transcriptomics of cardiac neural crest reveal a dual role of vinculin in Tgf beta signaling and cell-extracellular matrix interaction during cardiac outflow tract development
<p>single-cell RNA-seq data analysis:</p> <p>all.cncc.combined.EMBO.mapped.Rdata: public CNCC single-cell RNA-seq data integration</p> <p>E13.5_CNCC_merged_updated.Rdata: single-cell RNA-seq data of E13.5 CNCC generated in Elly lab</p> <p>all.seurat.GFP.Rdata: scRNA-seq data with GFP detected</p> <p>visium.merge_AB.control.Rdata: R processed ST data for slice A and B</p> <p>visium.merge_CD.mutant.Rdata: R processed ST data for slice A and B</p> <p> </p>
Arrow Matrix Decompositions
<p>Datasets for artifact evaluation.</p>
Dataset and correlation matrix of topography, water quality and the number of species of macrophytes in the Akan Caldera lakes, Japan (2013–2014).
<p>Akan Caldera lakes_1: Dataset of topography, water quality, and the number of species of macrophytes in the Akan Caldera lakes.</p> <p>Akan Caldera lakes_2: Diagram illustrating the classification of the watershed variables.</p> <p>Akan Caldera lakes_3: Correlation matrix of topography, water quality, and the number of species of macrophytes in the Akan Caldera lakes.</p>
Supplementary materials for "Machine Learning Electronic Structure Methods Based On The One-Electron Reduced Density Matrix"
<p><strong>Supplementary materials for "Machine Learning Electronic Structure Methods Based On The One-Electron Reduced Density Matrix"</strong></p> <p>by X. Shao, L. Paetow, M. E. Tuckerman and M. Pavanello</p> <p><strong>The QMLearn software</strong></p> <p>A current snapshot of the QMLearn software is available on GitLab at https://gitlab.com/pavanello-research-group/qmlearn. Video tutorials and other examples (including Jupyter Notebooks) are available at http://qmlearn.rutgers.edu</p> <p><strong>Data availability</strong></p> <p>We share all training/test sets and notebooks needed to reproduce Table II and Figures 1-7. For all figures, we provide Jupyter notebooks and the needed data to exactly reproduce the figures. Trajectory files for all IR spectra are shared. The collection of all materials is available in this dataset.</p> <p>The QMLearn version used for this work is 0.0.1.</p> <p>Specific QMLearn dependencies and their version used for all calculations are listed as follows:<br> - ase (3.22.1)<br> - h5py (3.7.0)<br> - numpy (1.23.1)<br> - pyscf (2.0.1)<br> - scikit-learn (1.1.1)<br> - scipy (1.8.1)</p>
Data and code for "An open-source alignment method for multichannel infinite-conjugate microscopes using a ray transfer matrix analysis model"
<p>Original data and code associated with the paper "An open-source alignment method for multichannel infinite-conjugate microscopes using a ray transfer matrix analysis model".<br> <br> Further details on the data are available in the readme.txt files.</p>
Combined sequence matrix for: Molecular phylogenetic tools reveal the phytogeographic history of the genus Capparis L. and suggest its reclassification
<p><em><span>Capparis</span></em><span> L. is the largest genus of the family Capparaceae, represented by 142 species in the tropics and subtropics of the Old World. Despite being one of the medicinally and economically important genera with its unique distribution pattern, the evolutionary history of <em>Capparis</em> remained unexplored. Moreover, the phylogenetic relationships, origin, dispersal, and character evolution of the genus were poorly understood. With the objectives to (i) test the congruence between the molecular and morphological datasets, (ii) validate Jacobs' hypothesis on the origin, dispersal, and speciation pattern of <em>Capparis</em> using new fossil data, and (iii) understand the possible evolutionary role of some key morphological characters, we sampled across the five speciation centres of <em>Capparis</em>. The results derived from three plastidial markers (<em>matK</em>, <em>trnL</em>-<em>F</em> and <em>rbcL</em>) revealed incongruence with the morphological datasets and suggested a new sectional classification in <em>Capparis</em>. Divergence dating analysis revealed that Capparaceae originated in Africa at 47.25 MYA and <em>Capparis</em> in Peninsular India at about 29.32 MYA. <em>Capparis</em> followed multiple forward and backward dispersal, supporting the "into and out of India" hypothesis. These dispersal events were consistent with the various land bridges present during the Eocene to Miocene in different parts of the old world. The only long-distance dispersal event was observed in the case of the new world Capparaceae, corroborating the earlier findings. Our results suggest West Asia to the North African region as another centre of speciation for <em>Capparis</em> and present a robust age estimate for the genus. The character state reconstruction of <em>Capparis</em> revealed a unique evolutionary adaptation due to exposure to various climatic conditions and the acquisition of suitable pollination strategies. We hypothesize that the gynophore length, calyx shape, and blotches on petals contribute substantially to the pollination success. </span></p>
Organic Matrix Effect on the Molecular Light Absorption of Brown Carbon
<p>Data for article <em>Organic Matrix Effect on the Molecular Light Absorption of Brown Carbon</em>, including the raw intensity extracted from mass spectrum data, time-serial and categorial for organic molecules, and calculated organic matrix effect for light absorption.</p>
Data for article: Matrix mismatch and its estimation in single-lab studies
<p>This repository provides data for the publication Matrix mismatch and its estimation in single-lab studies by Uhlig et al.</p> <p> </p> <p>Three data sets are provided:</p> <p>* The data for Figure 1</p> <p>* The data for the example shown in Table 1</p> <p>* The data for the example shown in Table 3</p>
Fig. 2 in Visualizing the spatial distribution of metabolites in Clausena lansium (Lour.) skeels using matrix-assisted laser desorption/ionization mass spectrometry imaging
Fig. 2. Comparison of sample pretreatment methods for MALDI-MSI analysis. (A) Intensities of ion peaks corresponding to organic acids, sugars, and alkaloids in the three different sections using airbrush, iMLayer or combined methods for matrix application. Data represent the mean ± SE of intensities of ions at m/z 230.9, 381.0, 264.1 and 367.1 (n = 3), respectively. Photographs of DHB matrix material prepared by different methods: (B) Spray by airbrush, (C) Sublimation by iMLayer, (D) Spray after sublimation. Films and crystals observation were recorded under the light microscope (× 40).
Fig. 5 in Visualizing the spatial distribution of metabolites in Clausena lansium (Lour.) skeels using matrix-assisted laser desorption/ionization mass spectrometry imaging
Fig. 5. Distribution of the main coumarins in diverse tissue parts in the plant of C. lansium. All the MSI were acquired in positive ion mode. The number of pixels in x and y axis was 243 × 248 for the fruit, and 100 × 70 for the stem and 65 × 37 for the leaf parts. The distributions are displayed as heat maps, with the color code between black (low) and red (high). Images were exported from the Shimadzu Imaging software. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 4 in Visualizing the spatial distribution of metabolites in Clausena lansium (Lour.) skeels using matrix-assisted laser desorption/ionization mass spectrometry imaging
Fig. 4. Distribution of the main alkaloids in diverse tissue parts in the plant of C. lansium. All the MSI were acquired in positive ion mode. The number of pixels in x and y axis was 243 × 248 for the fruit, and 100 × 70 for the stem and 65 × 37 for the leaf parts. The distributions are displayed as heat maps, with the color code between black (low) and red (high). Images were exported from the Shimadzu Imaging software. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 1 in Visualizing the spatial distribution of metabolites in Clausena lansium (Lour.) skeels using matrix-assisted laser desorption/ionization mass spectrometry imaging
Fig. 1. Optical images of different tissue sections of Clausena lansium (Lour.) Skeels plants. (A) Fruit cross section, (B) Part of stem cross section, (C) Leaf cross section (magnification at 40x).
Display and Use of Station Floor Plans on 2D Pin Matrix Displays for Blind and Visually Impaired People.
<p>An open-access repository of train station floor plans primarily covering Germany's Badden-Wuttermberg and Bavaria districts. The collection includes PNG and PDF formats for accessibility, particularly for individuals with visual impairments. Future expansions aim to include floor plans from additional European train stations.</p>
Preclinical to Clinical Translation for Intervertebral Disc Repair: Effects of Species-Specific Scale, Metabolism and Matrix Synthesis Rates on Cell-Based Regeneration
<p>Supporting datasets for journal article funded by the ERC</p>
Starting_material_thermoplastic_matrix
<p>Information in tables about the starting materials used in the project.</p>
The Role of Matrix Metalloproteinases on the Primary Teeth Pulpotomy Treatments
ClinicalTrials.gov study NCT05145686. IPD Sharing: YES. Countries: 1. Publications: 1.
Comparison Between Connective Graft and Xenogeneic Matrix, in Patients With Multiple Gingival Recessions
ClinicalTrials.gov study NCT03207984. IPD Sharing: NO. Countries: 1. Publications: 2.
Connective Tissue Graft Versus Collagen Matrix.
ClinicalTrials.gov study NCT04678804. IPD Sharing: NO. Countries: 1. Publications: 4.
Role of Extracellular Matrix in the Development of Airway Remodeling in Asthma
ClinicalTrials.gov study NCT03388359. IPD Sharing: NO. Countries: 1. Publications: 10.
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.