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1,481 results for “data processing”
Supplementary Material: Predictive model using Cross Industry Standard Process for Data Mining
<p>The Supplementary Material of the paper "Supplementary Material: Predictive model using Cross Industry Standard Process for Data Mining" includes: <br> 1) APPENDIX 1: SQL Statements for data extraction. Appendix 2: Interview for operating Staff.<br> 2) The DataSet of the normalized data to define the predictive model.</p>
Data from: Global change impacts on arid zone ecosystems: Seedling establishment processes are threatened by temperature and water stress
<p><span><span><span><span><span><span><span><span><span><span><span>Recruitment for many arid-zone plant species is expected to be impacted by the projected increase in soil temperature and prolonged droughts associated with global climate change. As seed dormancy is considered a strategy to avoid unfavourable conditions, understanding the mechanisms underpinning vulnerability to these factors is critical for plant recruitment in intact communities, as well as for restoration efforts in arid ecosystems. This study determined the effects of temperature and water stress on recruitment processes in six grass species in the genus <i>Triodia </i>R.Br. from the Australian arid zone. Experiments in controlled environments were conducted on dormant and less-dormant seeds at constant temperatures of 25, 30, 35 and 40°C, under well-watered (Psi<sub>soil</sub> = -0.15 MPa) and water-limited (Psi<sub>soil</sub> = -0.35 MPa) conditions. Success at three key recruitment stages – seed germination, emergence and survival– and final seed viability of un-germinated seeds was assessed.<i> </i>For all species, less dormant seeds germinated to higher proportions under all conditions, however, subsequent seedling emergence and survival was higher in the more dormant seed treatment. An increase in temperature (35–40°C) under water-limited conditions caused 95–100% recruitment failure, regardless of the dormancy state. Ungerminated seeds maintained viability in dry soil, however, when exposed to warm (30-40°C) and well-watered conditions, loss of viability was greater from the less dormant seeds across all species. This work demonstrates that the transition from seed to established seedling is highly vulnerable to microclimatic constraints, and represents a critical filter for plant recruitment in the arid-zone. As we demonstrated temperature and water stress-driven mortality between seeds and established seedlings, understanding how these factors influence recruitment in other arid-zone species should be a high priority consideration for management actions to mitigate the impacts of global change on ecosystem resilience. The knowledge gained from these outcomes must be actively incorporated into restoration initiatives.</span></span></span></span></span></span></span></span></span></span></span></p>
Data from: Accounting for experimental noise reveals that mRNA levels, amplified by post-transcriptional processes, largely determine steady-state protein levels in yeast
Cells respond to their environment by modulating protein levels through mRNA transcription and post-transcriptional control. Modest observed correlations between global steady-state mRNA and protein measurements have been interpreted as evidence that mRNA levels determine roughly 40% of the variation in protein levels, indicating dominant post-transcriptional effects. However, the techniques underlying these conclusions, such as correlation and regression, yield biased results when data are noisy, missing systematically, and collinear---properties of mRNA and protein measurements---which motivated us to revisit this subject. Noise-robust analyses of 24 studies of budding yeast reveal that mRNA levels explain more than 85% of the variation in steady-state protein levels. Protein levels are not proportional to mRNA levels, but rise much more rapidly. Regulation of translation suffices to explain this nonlinear effect, revealing post-transcriptional amplification of, rather than competition with, transcriptional signals. These results substantially revise widely credited models of protein-level regulation, and introduce multiple noise-aware approaches essential for proper analysis of many biological phenomena.
Harmony Point Chinstrap penguin GPS and Time-Depth-Recorder processed data
<p>Tracking data from Chinstrap Penguins (<em>Pygoscelis antarcticus</em>) tracked with axy-trek marine loggers in Harmony Point (Nelson Island, Maritime Antarctic Peninsula) in the breeding seasons of 2019/20 and 2021/22.</p> <p>The zip file is composed of two folders containing outputs from the R script named "GPS_TDR_processing.R", which process raw data from Axy-trek marine loggers producing 3 outputs that are within each of the folders. The outputs are: (1) 5-min resampled foraging trips (with trip ID identified), (2) dive statistics and (3) foraging trip summaries.</p> <p> </p> <p>Each file is named as the TagID, type of data (GPS or TDR), period (IB for late incubation / brooding - from late december to early january; CR for Chick-Rearing, from early to mid January) and season (2019/20 as 19 and 2021/22 as 21).</p> <p> </p> <p>GPS data is composed of the fields: Date (YYYY-mm-dd HH:MM:SS), distances, trip number and geographical coordinates in "+proj=longlat +datum=WGS84 +no_defs".</p> <p>TDR data is composed of outputs from dive statistics summarized using the "diveMove" R package. </p>
Supplementary data to 'acquisition and processing methods of whole-brain layer-fMRI VASO and BOLD: The Kenshu dataset'
<p>Supplemental results of our analysis</p>
Data available for ''Vertical Gradient of Size-Resolved Aerosol Composition over the Arctic Reveals Cloud Processed Aerosol in-cloud and above Cloud"
<p>Folder containing the data of CCSEM and STXM measurements.</p>
Raw data and processing of Figuer in the article
<p>Raw data and processing of Figuer in the article.</p>
Data set used for comparison of different machine learning approaches, for predicting aircraft departure delays, due to the circumstances of the defrosting process.
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Data_Processing_Shintergy_Phase 2_ [6 to 10 May 24]_V.1_alcrlp
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Crystal structure PDB 8PPS, dimeric RbdA EAL, diffraction data and processing
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GBC SUM159PT paper - processed data
<p>This repository contains supplementary data for the article:</p> <p>Nadalin <em>et al.</em> Multi-omic lineage tracing predicts the transcriptional, epigenetic and genetic determinants of cancer evolution. <em>Nature Communications</em> (2024). <a href="https://doi.org/10.1038/s41467-024-51424-4" target="_blank" rel="noopener">https://doi.org/10.1038/s41467-024-51424-4</a></p>
Data for the publication "Evaluating the Wegener-Bergeron-Findeisen process in ICON in large-eddy mode with in situ observations from the CLOUDLAB project"
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A Cosmological Benchmark for Symmetry-Preserving Data Processing
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The EMG source data, data processing code and feature extraction source code
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Imada Fasting Cancer - single cell RNA-Seq Processed Data R object
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Kickstarter 2018 (Pre-Processed Data)
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The post-processing recipe for SAR data of the 2024 Mw 7.5 Noto earthquake
<p>The post-processing recipe for SAR data of the 2024 Mw 7.5 Noto earthquake.</p>
Supplementary Data for Channel Morphological Characteristics and Morphodynamic Processes of Large Braided Rivers
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Experimental data for Emerging contaminants and pathogenic microorganisms elimination in secondary effluent by graphitic carbon nitride photocatalytic ozonation processes
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Model input data, simulation output data and processed data presented in "Modelling the three-dimensional, diagnostic anisotropy field of an ice rise"
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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.