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3,101 results for “tables”
Look Up Tables for removing atmospherical signal due to Rayleigh scattering and (desert) aerosols in visible satellite imagery
<p>Look Up Tables for removing atmospherical signal due to Rayleigh scattering and (desert) aerosols in visible satellite imagery</p> <p>LibRadTran simulations for various standard atmospheres for the correction of Rayleigh scattering and desert aerosol composition (Hess et al., 1998) within satellite images of channels in the visible spectral range.</p>
Supporting dataset: "Analysis of tide and offshore storm-induced water table fluctuations for structural characterization of a coastal island aquifer"
<p>Included in this repository are supporting field data and final model input files used to produce the results of the manuscript:</p> <p>Trglavcnik, V., Morrow, D., Weber, K. P., Li, L., & Robinson, C. E. (2017), "Analysis of tide and offshore storm-induced water table fluctuations for structural characterization of a coastal island aquifer."</p> <p>This dataset contains:</p> <ul> <li>SableIsland_data.xlsx <ul> <li>Data used to produce figures in the above manuscript. </li> </ul> </li> <li>Final_SS.zip <ul> <li>Input files for the final model (see Figure 3 in manuscript), steady-state SEAWAT simulation. </li> </ul> </li> <li>Final_PBC.zip <ul> <li>Input files for the final model, transient SEAWAT simulation with a sinusoidal tidal boundary implemented by the Periodic Boundary Condition package (developed for MODFLOW by Post, 2011).</li> </ul> </li> </ul> <p>All data and files are licensed under Creative Commons Attribution Share Alike 4.0 International.</p> <p> </p> <p> </p>
Tables, Figures and Country Datasets complementing the European Union Summary Report on Zoonoses and Food-borne Outbreaks 2016
<p>All summary tables and figures produced for the European Union Summary Report on Zoonoses and Food-borne Outbreaks 2016 are provided.</p> <p>The Appendix file (Excel file) allows the user to filter by chapter the corresponding summary tables and figures with their abbreviated file name and titles.</p> <p>Lastly, all country data are published as supporting information to this report</p>
Diatom cell-size composition as a novel tool for quantitative estimates of water table in peatlands
<p>Diatom cell-size composition is an indicator of aquatic environmental changes, but has been rarely investigated, especially in semi-terrestrial peatlands. In this study, both taxonomic composition and cell-size composition of diatoms were analyzed in 41 samples from two montane peatlands, northeastern China. Redundancy analyses revealed that diatom taxonomic composition was significantly related to the depth to the water table (DWT) and Ca<sup>2+</sup>, while cell-size composition was significantly associated with DWT and Si. DWT was the most important factor and its sole effect explained 26.2% and 17.9% of the total variance in taxonomic composition and cell-size composition, respectively. Accordingly, diatom-based water-table transfer functions were developed based on taxonomic composition and cell-size composition, respectively. The maximum likelihood (ML) model based on diatom taxonomic composition had the best performance, with the correlation coefficient value (R2) of 0.78 and the root mean squared error of prediction (RMSEP) of 6.66 cm. The ML model based on cell-size composition had similar performance, with the R2 of 0.78 and the RMSEP of 6.87cm, suggesting that diatom cell-size composition can be a new quantitative means to track past water-table changes.</p>
Shaw Lab Protein Coding Gene Annotation Table
<p>1. Original Table was downloaded from https://ftp.ncbi.nih.gov/gene/DATA/GENE_INFO/Mammalia/Homo_sapiens.gene_info.gz</p> <p>2. Table was then merged with https://ftp.ncbi.nih.gov/gene/DATA/gene2ensembl.gz on April 8, 2024</p> <p>3. The table was appended with CellMark 2.0 https://pubmed.ncbi.nlm.nih.gov/36300619/</p> <p>4. Appended genes encoding surfaceome proteins GESPs from the supplementary table S1-S40 https://pubmed.ncbi.nlm.nih.gov/35121907/</p> <p>5. Appended mouse homology genes from https://www.informatics.jax.org/downloads/reports/HOM_MouseHumanSequence.rpt source code used in the processing is https://github.com/shawlab-moffitt/Human2MouseGeneSymbolConversion</p>
Correlated-k table for H2 dominated atmospheres for 3D Climate Modelling
<p>Correlated-k table for H2 dominated atmospheres with a variable amount of water vapour built by incorporating absorption data files from the HITRAN database and using the exo\_k code by J.Leconte. This correlated-k tables are created to use with Generic-PCM model to simulate the atmospheres of H2 dominated planets.</p> <p>The calculation of radiative transfer can be performed using the correlated-k method, which efficiently determines net radiative fluxes by categorizing spectral lines into infrared and visible bands (IR x VI) and assigning the average absorption coefficients to each band. These coefficients are pre-calculated based on detailed line-by-line radiative transfer calculations. The correlated-k method is an economic alternative to the line-by-line method, making it possible to accurately and rapidly compute atmospheric radiation.</p> <p> </p>
Correlated-k table for CO2 dominated atmospheres for 3D Climate Modelling
<p>Correlated-k table for CO2 dominated atmospheres with a variable amount of water vapour built by incorporating absorption data files from the HITRAN database and using the exo\_k code by J.Leconte. This correlated-k tables are created to use with Generic-PCM model to simulate the atmospheres of CO2 dominated planets.</p> <p>The calculation of radiative transfer can be performed using the correlated-k method, which efficiently determines net radiative fluxes by categorizing spectral lines into infrared and visible bands (IR x VI) and assigning the average absorption coefficients to each band. These coefficients are pre-calculated based on detailed line-by-line radiative transfer calculations. The correlated-k method is an economic alternative to the line-by-line method, making it possible to accurately and rapidly compute atmospheric radiation.</p> <p> </p>
Supplementary Tables 1 and 2
<p><strong><span>Acute Pancreatitis in Pediatric Acute Lymphoblastic Leukemia (AcuPA Study). A Nationwide Survey in Poland. </span></strong></p> <p>Supplementary Tables 1 and 2 </p>
Retrieve, Merge, Predict: Augmenting Tables with Data Lakes
<p>Files composing the YADL data lake, for the paper "Retrieve, Merge, Predict: Augmenting Tables with Data Lakes (Experiment, Analysis & Benchmark Paper)"</p> <p>We present an in-depth analysis of data discovery for analytics in data lakes, focusing on table augmentation for given machine learning tasks. We analyze alternative methods used in the three key steps: retrieving joinable tables, merging information, and predicting with the resultant table. As data lakes, the paper uses YADL (Yet Another Data Lake) -- a novel dataset developed as a tool for benchmarking this data discovery task -- and Open Data US, a well-referenced real data lake. Through systematic exploration on both lakes, our study outlines the importance of accurately retrieving join candidates, and the efficiency of simple aggregation methods. We report new insights on the benefits of existing solutions and on the their limitations, aiming at guiding future research in this space.</p> <p>Archives provided here follow the notation used for the experiments, which is different from what is reported in the paper. The four YADL versions available here are:</p> <ul> <li>"binary_update" (YADL Binary)</li> <li>"wordnet_full" (YADL Base)</li> <li>"wordnet_vldb_10" (YADL 10k)</li> <li>"wordnet_vldb_50" (YADL 50k)</li> </ul>
Supplementary Tables
Open the record for dataset details and reuse information.
MaTableGPT: GPT-based Table Data Extractor from Materials Science Literature
<p>Using the MaTableGPT tool, which extracts table data from material literature based on GPT, performance data of catalysts were extracted from 11,077 documents on OER catalysts. GPT-3.5 fine-tuning was conducted using 126 tables, achieving an accuracy of 96.8%. The data consists of DOI, catalyst, performance, and property(reaction_type, value, current_density, electrolyte, overpotential, potential, substrate, versus, condition). For more details, please refer to the DOI.</p>
OTU table, lefse result and ARGs abundance data.
<ul> <li> <p><strong>Table_otu.raw.txt.xls</strong>: OTU table processed by Uparse(97% similarity) on the <a href="http://cloud.magigene.com/" rel="nofollow">Magigene Cloud Platform</a>. Chloroplasts, mitochondria, Unclassified, archaea otus were removed.</p> </li> <li> <p><strong>rpkm.type.txt</strong>: Abundance of Antibiotic-resistant genes (ARGs) grouped by types processed by <a href="https://github.com/xinehc/args_oap">ARGs-OAP v3.0</a></p> </li> <li> <p><strong>rpkm.subtype.txt</strong>: ARGs grouped by subtypes processed by <a href="https://github.com/xinehc/args_oap">ARGs-OAP v3.0</a></p> </li> <li> <p><strong>rpkm.genes.txt</strong>: ARGs grouped by genes processed by <a href="https://github.com/xinehc/args_oap">ARGs-OAP v3.0</a></p> </li> <li> <p><strong>lefse_results.txt.xls</strong>: lefse analysis result produced by <a href="http://cloud.magigene.com/" rel="nofollow">Magigene Cloud Platform</a>.</p> </li> <li> <p><strong>otus.fa</strong>: Representative otu sequences processed by Uparse(97% similarity) on the <a href="http://cloud.magigene.com/" rel="nofollow">Magigene Cloud Platform</a>. Chloroplasts, mitochondria, Unclassified, archaea otus were removed.</p> </li> <li> <p><strong>otus_aligned.fasta</strong>: Aligned otu sequences by mafft.</p> <p><code>Bash: mafft otus.fa > otus_aligned.fa </code></p> </li> <li> <p><strong>otus_fasttree.tre</strong>: Construct phylogenic tree from <code>otus_aligned.fa</code> by fasttree.</p> </li> </ul>
Table S1, Figure S1, Original Image 1,2,3 and 4
<p>Table S1. Overall number of female sand flies captured during the field collections</p>
Supplementary Tables
<p>Supplementary Tables accompaniying the following manuscript:</p> <p>Adeoye et al. <strong><em>Systematic Analysis of Biological Processes Reveals Gene Co-expression Modules Driving Pathway Dysregulation in Alzheimer’s Diseas</em>e </strong><em>bioRxiv : the preprint server for biology</em> 2024.03.15.585267. 15 Mar. 2024, doi:10.1101/2024.03.15.585267. Preprint.</p> <p>A brief description of the file contents is as follows:</p> <p><strong>Supplementary Table 1.</strong> Sample metadata for all 20 donors, including post-mortem neuropathological assessments, clinical evaluations, and pathological grouping.</p> <p><strong>Supplementary Tables 2—4.</strong> The table of p-values and log fold changes for all genes included in the differential analysis test across all brain regions (MTG 2; STG 3; ETC 4) and cell types.</p> <p><strong>Supplementary Table 5. </strong>Table of pathway renaming conventions.</p> <p><strong>Supplementary Tables 6—8.</strong> Comprehensive documentation of the pathway analysis results for each brain region (MTG 6; SFG 7; ETC 8) with detailed statistical results (coefficient estimates and p-values) for the prioritized candidate pathways identified across major cell types. </p> <p><strong>Supplementary Tables 9—11.</strong> Results from DME analysis for each brain region (MTG 9; SFG 10; ETC 11) across all cell types.</p> <p><strong>Supplementary Table 12.</strong> List of overlapping dysregulated pathways along with corresponding statistics for each cell type.</p> <p><strong>Supplementary Table 13.</strong> List of hub genes and hDEGs in each module for all cell types across brain regions.</p> <p>Overlapping hub genes are presented in <strong>Supplementary Table 14</strong>.</p>
Supplement - Hedge's G Tables
<p>Physiographic variables were summarized by lithology and trail type. We conducted basic statistical analysis using Hedge’s G calculator to determine the effect size of our process domain datasets (Lakens 2013). The effect size tells us how statistically different the data is from one another. The Hedge’s G analysis for effect size indicated two of the process domains datasets for the lithology were not significantly different from one another. The concavity and TPI-100m datasets showed little variability among the data while the slope dataset showed the most variability indicated several lithologies with a large effect size (the effect size for the datasets was a small effect = 0.2; medium effect= 0.5; large effect 0.8. ; Table 4). Hedge’s G tables are found in this repository.</p>
Clausal Congruence Closure Paper Logs, Plots and Tables
<p>These are the log files and other experimental data of our paper on clausal<br>congruence closure together with generated plots and tables.</p>
Demonstration of Stretching an Elastic Sample with Electric Contacts on a Self-Built Table
<p>This video demonstrates the stretching of an elastic sample equipped with electric contacts. The experiment takes place on a table constructed by the presenter as part of a project funded by the National Science Centre in Poland. Watch as the sample undergoes controlled deformation, showcasing the functionality of the setup. The samples used are ITO/ZnO/SnO/ITO/PET (in the video) and ITO/ZnO/Co3O4/ITO/Kapton (in the GIF).</p>
Water table dynamics and surface soil moisture from an experimental peatland restoration area (Forsinard, Scotland, UK), 2017-2022/2023
<p>This dataset is from an experiment aimed to understand the changes in water level and soil moisture dynamics after rewetting of formerly afforested blanket bog areas. Specifically, it was aiming to test whether the water table and soil moisture dynamics in these areas return to those of control areas that had never been drained or afforested. The data span the period of summer 2017- summer 2022/2023, with gaps in individual time series marked with -9999 entries.</p>
The Category-Modifier system: a hierarchical classification scheme for vertebrate tooth marks - supplementary tables
<p>Preserved records of tooth-bone interactions, known as tooth marks, can yield a wealth of information regarding organismal behavior and ecology. For this reason, workers in a wide range of disciplines, but particularly paleontology, have inspected and interpreted these features for decades. Although previous studies have gleaned invaluable insights, they have also described tooth marks using terminological frameworks that have been incompletely defined, have incorporated behavioral hypotheses in definitions, and/or have been inconsistently applied. To address these problems, we introduce the Category-Modifier (CM) system, the first system to both sort tooth marks into clearly defined main categories and use descriptive modifiers to characterize their appearance more precisely. The CM system is designed to apply to a wide range of vertebrates, to enable comparisons across disciplines and studies, and to help researchers keep their investigations into behavioral hypotheses free of circular reasoning.</p>
Supplemental Table. Historical cohort of 560 well-described papillary craniopharyngiomas reported in the medical literature (560c).
<p><span>Table </span><span>listing the historical cohort of </span><span>560 </span><span>well-described/illustrated individual papillary craniopharyngiomas reported in the medical literature, including their corresponding references.</span><span><span><span> </span></span></span></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.