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1,630 results for “Stepping”
Data from: A tutorial for scanning electrochemical cell microscopy (SECCM) measurements: Step-by-Step instructions, visual resources, and guidance for first experiments
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Wooden steps to shallow depths: A new bathymodiolin mussel, Vadumodiolus teredinicola, inhabits shipworm burrows in an ancient submarine forest
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Marine stepping-stones: Connectivity of Mytilus edulis populations between offshore energy installations
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Two-step mixed model approach to analyzing differential alternative RNA splicing: Datasets and R scripts for analysis of alternative splicing
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Respirometry protocols for avian thermoregulation at high air temperatures: stepped and steady-state profiles yield similar results
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Stakeholders engagement as an important step for the long-term monitoring of wild ungulate populations
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Softening the steps to gigantism in sauropod dinosaurs through the evolution of a pedal pad
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Data from: Disentangling the steps of the infection process responsible for juvenile disease susceptibility
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Fossil-calibrated inference of divergence times among the Volvocine algae enables reconstruction of the steps that led to differentiated multicellularity
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Data: Detecting preservation and reintroduction sites for endangered plant species using a two-step modelling and field approach
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Can native predators be used as a stepping stone to reduce prey naivety to novel predators?
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Data from: Effect of trait's expression level on single-step genomic evaluation of resistance to Dothistroma needle blight
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Two-step spin-coating of vacancy-ordered double perovskites enables growth of thin films for electronic devices
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Data from: Mannose glycosylation is an integral step for human NIS localization and function in breast cancer cells
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A key evolutionary step determining osmoregulatory ability for freshwater colonisation in early life stages of fish
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Effects of individualized step targets on physical activity in COPD. A randomized study
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Data used in the publication "The emission of terrestrial gamma-ray flashes associated to streamer coronae of the final leader step"
<p>Simulation data used to create Fig. 2 of "The emission of terrestrial gamma-ray flashes associated to streamer coronae of the final leader step"</p>
How to perform PCA on single-cell RNA-Seq data in three simple steps
<p>Video on YouTube: <a href="https://www.youtube.com/watch?v=IOe0X-q7FtE">https://www.youtube.com/watch?v=IOe0X-q7FtE</a></p> <p>My Twitter: <a href="https://twitter.com/flo_compbio">https://twitter.com/flo_compbio</a></p> <p>Savannah Bertrand’s fundraiser: <a href="https://www.gofundme.com/f/help-a-black-lesbian-academic-get-out?utm_source=twitter&utm_medium=social&utm_campaign=p_cf+share-flow-1">https://www.gofundme.com/f/help-a-black-lesbian-academic-get-out?utm_source=twitter&utm_medium=social&utm_campaign=p_cf+share-flow-1</a></p> <p>-------------------<br> References:</p> <p>Batson, Joshua, Loïc Royer, and James Webber. “Molecular Cross-Validation for Single-Cell RNA-Seq.” BioRxiv, September 30, 2019, 786269. <a href="https://doi.org/10.1101/786269">https://doi.org/10.1101/786269</a>.</p> <p>Grün, Dominic, Lennart Kester, and Alexander van Oudenaarden. “Validation of Noise Models for Single-Cell Transcriptomics.” Nature Methods 11, no. 6 (June 2014): 637–40.<a href="https://doi.org/10.1038/nmeth.2930"> https://doi.org/10.1038/nmeth.2930</a>.</p> <p>Hafemeister, Christoph, and Rahul Satija. “Normalization and Variance Stabilization of Single-Cell RNA-Seq Data Using Regularized Negative Binomial Regression.” Genome Biology 20, no. 1 (23 2019): 296. <a href="https://doi.org/10.1186/s13059-019-1874-1">https://doi.org/10.1186/s13059-019-1874-1</a>.</p> <p>Hsu, Lauren L., and Aedin C. Culhane. “Impact of Data Preprocessing on Integrative Matrix Factorization of Single Cell Data.” Frontiers in Oncology 10 (2020). <a href="https://doi.org/10.3389/fonc.2020.00973">https://doi.org/10.3389/fonc.2020.00973</a>.</p> <p>Sun, Shiquan, Jiaqiang Zhu, Ying Ma, and Xiang Zhou. “Accuracy, Robustness and Scalability of Dimensionality Reduction Methods for Single-Cell RNA-Seq Analysis.” Genome Biology 20, no. 1 (10 2019): 269. <a href="https://doi.org/10.1186/s13059-019-1898-6">https://doi.org/10.1186/s13059-019-1898-6</a>.</p> <p>Townes, F. William, Stephanie C. Hicks, Martin J. Aryee, and Rafael A. Irizarry. “Feature Selection and Dimension Reduction for Single-Cell RNA-Seq Based on a Multinomial Model.” Genome Biology 20, no. 1 (23 2019): 295. <a href="https://doi.org/10.1186/s13059-019-1861-6">https://doi.org/10.1186/s13059-019-1861-6</a>.</p> <p>Tsuyuzaki, Koki, Hiroyuki Sato, Kenta Sato, and Itoshi Nikaido. “Benchmarking Principal Component Analysis for Large-Scale Single-Cell RNA-Sequencing.” Genome Biology 21, no. 1 (20 2020): 9. <a href="https://doi.org/10.1186/s13059-019-1900-3">https://doi.org/10.1186/s13059-019-1900-3</a>.</p> <p>Wagner, Florian, Dalia Barkley, and Itai Yanai. “Accurate Denoising of Single-Cell RNA-Seq Data Using Unbiased Principal Component Analysis.” BioRxiv, June 17, 2019, 655365.<a href="https://doi.org/10.1101/655365"> https://doi.org/10.1101/655365</a>.</p> <p>Wagner, Florian. “Monet: An Open-Source Python Package for Analyzing and Integrating ScRNA-Seq Data Using PCA-Based Latent Spaces.” BioRxiv, 2020. <a href="https://doi.org/10.1101/2020.06.08.140673">https://doi.org/10.1101/2020.06.08.140673</a>.</p>
Data set for all Bifurcation diagrams of 'Two-dimensional patterns in dip coating - first steps on the continuation path'
<p>Data set for all bifurcation diagrams of 'Two-dimensional patterns in dip coating - first steps on the continuation path' by Phong-Minh Timmy Ly, Kevin David Joachim Mitas, Uwe Thiele, Svetlana V. Gurevich published as Physica D 409, 132485 (2020). </p> <p>DOI: <a href="http://doi.org/10.1016/j.physd.2020.132485">10.1016/j.physd.2020.132485</a></p> <p>Specifically: Figures 1, 2, 5, 6 and 7</p>
Spreadsheets: step by step of data reconciliation
<p>Planilhas desenvolvidas para o artigo intitulado “Application of data reconciliation in a water balance as a tool for optimizing water use at a university in Brazil”. Ele foi submetido no 26th IJCIEOM – International Joint Conference on Industrial Engineering and Operations Management;</p> <p>1. Na planilha “Database_IJCIEOM_2020” estão todos os dados usados na pesquisa.</p> <p>2. A planilha denominada “Coverage test” refere-se ao teste estatistico feito com a media dos blocos MT e FS.</p> <p>3. Em “<a href="http://ijcieom_2020.mt/">IJCIEOM_2020.MT</a>” e “IJCIEOM_2020.FS” encontra-se o desenvolvimento da incerteza das medições de vazão de água do CJA-UFSB.</p> <p>4. As planilhas “nhemu_seiqué.MT” e “nhemu_seiqué.FS” são usadas no programa de KALID (2020). Para rodar no programa é necessário renomear para “nhemu_seiqué”.</p> <p> </p> <p>English:</p> <p>Spreadsheets developed for the article entitled “Application of data reconciliation in a water balance as a tool for optimizing water use at a university in Brazil”. He was submitted to the 26th IJCIEOM - International Joint Conference on Industrial Engineering and Operations Management;</p> <p>1. In the spreadsheet “Database_IJCIEOM_2020” are all the data used in the research.</p> <p>2. The spreadsheet called “Coverage test” refers to the statistical test done with the average of blocks MT and FS.</p> <p>3. In “IJCIEOM_2020.MT” and “IJCIEOM_2020.FS” there is the development of the uncertainty of water flow measurements from CJA-UFSB.</p> <p>4. The spreadsheets “nhemu_seiqué.MT” and “nhemu_seiqué.FS” are used in the KALID program (2020). To run the program it is necessary to rename it to “nhemu_seiqué”.</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.