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7,195 results for “SET”
Clotho Analysis Set
<p>This dataset is derived from the evaluation subset of <a href="https://zenodo.org/record/4783391">Clotho dataset</a>. It is designed to analyze the behavior of the captioning system under certain perturbation in order to try and identify some open challenges in automated audio captioning. The original audio clips are transformed with <a href="https://github.com/emilio-molina/audio_degrader">audio_degrader</a>. The transformations applied are the following:</p> <ul> <li> <p>Microphone response simulation</p> </li> <li> <p>Mixup with another clip from the dataset (ratio -6dB, -3dB and 0dB)</p> </li> <li> <p>Additive noise from <a href="https://zenodo.org/record/6026841">DESED</a> (ratio -12dB, -6dB, 0dB)</p> </li> </ul>
data set regarding to project – Sarcopenia, obesity, sarcopenic obesity and risk of PNS in Polish older people
<p><strong>This data set corresponds with the article titled: Sarcopenia, obesity, sarcopenic obesity and risk of poor nutritional status in Polish community-dwelling older people aged 60 years and over.</strong></p>
Data set from "Absolute Treatment Effects for the Primary Outcome and All-cause Mortality in the Cardiovascular Outcome Trials of New Antidiabetic Drugs – A Meta-Analysis of Digitalized Individual Patient Data"
<p>This data set contains the complete digitalized individual patient data that are used in the manuscript "Absolute Treatment Effects for the Primary Outcome and All-cause Mortality in the Cardiovascular Outcome Trials of New Antidiabetic Drugs – A Meta-Analysis of Digitalized Individual Patient Data", which is accepted from "Acta Diabetologica".<br> The data file is in CSV format and contains the five variables "OutcomeType" (with values "AllcauseMortality" or "PrimaryOutcome"), "Study" (denoting the respective cardiovascular outcome trial), "Treatment" (denoting the respective study treatment or placebo), "Event" (denoting if the respective has been observed (Event=1) or not (Event=0)), and "SurvivalTimeMonths" (denoting the respective time to the event or censoring in months).</p>
Data set for "Learning-related congruent and incongruent changes of excitation and inhibition in distinct cortical areas"
<p>Data set for: Esmaeili V, Oryshchuk A, Asri R, Tamura K, Foustoukos G, Liu Y, Guiet R, Crochet S, Petersen CCH (2022) Learning-related congruent and incongruent changes of excitation and inhibition in distinct cortical areas. PLoS Biol 20: e3001667. doi: 10.1371/journal.pbio.3001667</p> <p>There are 2 files in this upload:</p> <p>1. The file named "2022_Esmaeili_PLOSBiol.pdf" is the Open Access pdf of the online publication in PLoS Biology.</p> <p>2. The file named "Esmaeili_data_code.zip" (~3 GB) is a zipped version of a folder "Esmaeili_data_code" (~3 GB), which contains four subfolders named as “data”, “codes”, “figures” and “excel files” and a README.txt file with the descriptions of files and required toolboxes to run the codes. To access the data and codes, first unzip the file. The “code” subfolder contains all the Matlab codes and their dependencies for generating all the main and supplementary figures. The “data” subfolder contains the data analysed in the study used to generate different figures. When running the code, you will have to select the path of the unzipped data containing the subfolders data, code, figures and excel files (\Esmaeili_data_code\). Some parts of the code rely upon previous results, and need to be executed sequentially in the order of the figure panels in the journal publication. Running the codes will save the figure panels and the related excel files in the “figures” and “excel files” subfolders respectively.</p> <p> </p>
Data set for: Leaf trait association in relation to herbivore defense, drought resistance, and economics in a tropical invasive plant
<p><strong><span>Premsie</span></strong><span>: </span><span>Exploring how functional traits vary and covary is important to understand plant responses to environmental change. However, we have limited understanding of the ways multiple functional traits vary and covary within invasive species.</span></p> <p><strong><span>Methods</span></strong><span>:</span> <span>We measured 12 leaf traits of an invasive plant <em>Chromolaena odorata</em>, associated with plant or leaf economics, herbivore defense, and drought resistance on 10 introduced populations from Asia and 12 native populations from America, selected across a broad range of climatic conditions, and grown in a common garden</span><span>.</span></p> <p><strong><span>Results</span></strong><span>: </span><span>Species'</span> <span>range and climatic conditions influenced leaf traits, but trait variation across climate space differed between the introduced and native ranges. Traits that confer defense against herbivores and drought resistance were associated with economic strategy, but the patterns differed by range. Plants from introduced populations that were at the fast-return end of the spectrum (high photosynthetic capacity) had high physical defense traits (high trichome density), whereas plants from native populations that were at the fast-return end of the spectrum had high drought escape traits (early leaf senescence and high percentage of withered shoots).</span></p> <p><strong> <span>Conclusions</span></strong><span>:</span> <span>Our results indicate that invasive plants can rapidly adapt to novel environmental conditions. <em>C. odorata</em> showed multiple different functional trait covariation patterns and clines in the native and introduced ranges. Our results emphasize that interaction between multiple traits or functions should be considered when investigating the adaptive evolution of invasive plants.</span></p>
iPPG2BP: excerpts taken from the test set
<p>Excerpts taken from the test set.</p> <p>Use them to test the neural networks described in the orginal article (available <a href="https://zenodo.org/record/6647144">here</a>).</p>
Visualization of SARS-CoV-2 particles in naso/oropharyngeal swabs by thin section electron microscopy – data set 03
<p>We developed a sedimentation method using desktop ultracentrifugation (see description below) to visualize SARS-CoV-2 particles in suspensions from oro- and/or nasopharyngeal swabs by thin section electron microscopy. A detailed description of the methods and the data set is provided in the download container.</p> <p>Data set 03 is a stitched image montage recorded from an area of a thin section through the sediment obtained from a swab sample which was positive by quantitative PCR (delta variant). One infected ciliated cell is visible in the center of the recorded area. Virus particles are visible within membrane-bound compartments of the cytoplasm. Spike visibility is poor and some virus particles appear compressed.</p> <p>Related publication: Laue M, Hoffmann T, Michel J, Nitsche A. Visualization of SARS-CoV-2 particles in naso/oropharyngeal swabs by thin section electron microscopy. Virol J. 2023 Feb 6;20(1):21. doi: 10.1186/s12985-023-01981-9. PMID: 36747188; PMCID: PMC9901382.</p>
Visualization of SARS-CoV-2 particles in naso/oropharyngeal swabs by thin section electron microscopy – data set 04
<p>We developed a sedimentation method using desktop ultracentrifugation (see description below) to visualize SARS-CoV-2 particles in suspensions from oro- and/or nasopharyngeal swabs by thin section electron microscopy. A detailed description of the methods and the data set is provided in the download container.</p> <p>Data set 04 is a stitched image montage recorded from an area of a thin section through the sediment obtained from a swab sample which was negative by quantitative PCR (negative control). The recorded area shows the profiles of four keratinocytes which are surrounded by heterogenous material (e.g. membrane lamella, needle-like crystals, round profiles with a fine-fibrous matrix). Virus partricles are not visible.</p> <p>Related publication: Laue M, Hoffmann T, Michel J, Nitsche A. Visualization of SARS-CoV-2 particles in naso/oropharyngeal swabs by thin section electron microscopy. Virol J. 2023 Feb 6;20(1):21. doi: 10.1186/s12985-023-01981-9. PMID: 36747188; PMCID: PMC9901382.</p>
Visualization of SARS-CoV-2 particles in naso/oropharyngeal swabs by thin section electron microscopy – data set 01
<p>We developed a sedimentation method using desktop ultracentrifugation (see description below) to visualize SARS-CoV-2 particles in suspensions from oro- and/or nasopharyngeal swabs by thin section electron microscopy. A detailed description of the methods and the data set is provided in the download container.</p> <p>Data set 01 is a stitched image montage recorded from an area of a thin section through the sediment obtained from a swab sample which was positive by quantitative PCR (delta variant). Two, more or less, intact ciliated cells are visible and surrounded by other cells or cellular debris. The ciliated cell in the upper right corner is infected with SARS-CoV-2. Virus particles are visible within membrane-bound compartments of the cytoplasm. Several double-membrane vesicles, which are typical compartments of the coronavirus replication machinery, are also detectable.</p> <p>Related publication: Laue M, Hoffmann T, Michel J, Nitsche A. Visualization of SARS-CoV-2 particles in naso/oropharyngeal swabs by thin section electron microscopy. Virol J. 2023 Feb 6;20(1):21. doi: 10.1186/s12985-023-01981-9. PMID: 36747188; PMCID: PMC9901382.</p>
Visualization of SARS-CoV-2 particles in naso/oropharyngeal swabs by thin section electron microscopy – data set 02
<p>We developed a sedimentation method using desktop ultracentrifugation (see description below) to visualize SARS-CoV-2 particles in suspensions from oro- and/or nasopharyngeal swabs by thin section electron microscopy. A detailed description of the methods and the data set is provided in the download container.</p> <p>Data set 02 is a stitched image montage recorded from an area of a thin section through the sediment obtained from a swab sample which was positive by quantitative PCR (delta variant). One ciliated cell is visible and surrounded by cellular debris. The ciliated cell is infected with SARS-CoV-2. Few virus particles are visible within membrane-bound compartments of the cytoplasm. Numerous virus particles are located at the cell surface intermingled between the cilia. The virus particles of this cell appear deformed and deviate from the oval/circular profile which is usually present.</p> <p>Related publication: Laue M, Hoffmann T, Michel J, Nitsche A. Visualization of SARS-CoV-2 particles in naso/oropharyngeal swabs by thin section electron microscopy. Virol J. 2023 Feb 6;20(1):21. doi: 10.1186/s12985-023-01981-9. PMID: 36747188; PMCID: PMC9901382.</p>
Multivariate trait analysis reveals diatom plasticity constrained to a reduced set of biological axes
<p>Trait-based approaches to phytoplankton ecology have gained traction in recent decades as phenotypic traits are incorporated into ecological and biogeochemical models. Here, we use high-throughput phenotyping to explore both intra- and interspecific constraints on trait combinations that are expressed in the cosmopolitan marine diatom genus Thalassiosira. We demonstrate that within Thalassiosira, phenotypic diversity cannot be predicted from genotypic diversity, and moreover, plasticity can create highly divergent phenotypes that are incongruent with taxonomic grouping. Significantly, multivariate phenotypes can be represented in reduced dimensional space using principal component analysis with 77.7% of the variance captured by two orthogonal axes, here termed a 'trait-scape'. Furthermore, this trait-scape can be recovered with a reduced set of traits. Plastic responses to the new environments expanded phenotypic trait values and the trait-scape, however, the overall pattern of response to the new environments was similar between strains and many trait correlations remained constant. These findings demonstrate that trait-scapes can be used to reveal common constraints on multi-trait plasticity in phytoplankton with divergent underlying phenotypes. Understanding how to integrate trait correlational constraints and trade-offs into theoretical frameworks like biogeochemical models will be critical to predict how microbial responses to environmental change will impact elemental cycling now and into the future.</p>
Data set and analytic codes supporting "Length-biomass equations to allow rapid assessment of semi-aquatic bug biomass in tropical streams"
<p>Body size and biomass data of semi-aquatic bugs (Gerromorpha, Hemiptera) collected in a range of habitat types (oil palm, oil palm with buffer, logged forest, and old-growth forest) in the SAFE Project (Stability of Altered Forest Ecosystems) experimental area, Maliau Basin, and Danum Valley. The sites are located in Sabah, Malaysia. In this study, we developed length-biomass equations to estimate the biomass of semi-aquatic bugs.</p>
IN SILICO SCREENING OF TWO-PHOTON ABSORPTION PROPERTIES OF A LARGE SET OF BIS-BF2-DYES
<p>This data set is a part of Supporting Info for our work entitled “IN SILICO SCREENING OF TWO-PHOTON ABSORPTION PROPERTIES OF A LARGE SET OF BIS-BF2-DYES” which is published in ChemPhotoChem peer-reviewed scientific journal (<a href="https://doi.org/10.1002/cptc.202200137">doi.org/10.1002/cptc.202200137</a>). In this data set, we provide the XYZ coordinates for the 280 compounds studied in this work.</p>
Business load profiles used in "Maximising the benefits of renewable energy infrastructure in displacement settings: Optimising the operation of a solar-hybrid mini-grid for institutional and business users in Mahama Refugee Camp, Rwanda"
<p>Version used in the submission of "Maximising the benefits of renewable energy infrastructure in displacement settings: Optimising the operation of a solar-hybrid mini-grid for institutional and business users in Mahama Refugee Camp, Rwanda" by Hamish Beath, Javier Baranda Alonso, Richard Mori, Ajay Gambhir, Jenny Nelson and Philip Sandwell.</p>
Tunas - Fishing for diverse Answer Sets: a Multi-Shot Trade up Strategy (Tool & Experiments)
<p>Python script to compute diverse answer sets, including examples, logfiles and plots. Requires Python 3.x and clingo 5.4.0+ to run.</p>
Curated data-set of crystal-structure prototypes of binary and ternary sp-d valent compounds
<p>Curated collection of binary and ternary compounds of sp-valent elements and d-valent elements and their crystal-structure prototype. The data set includes binary and pseudo-binary compounds in binary prototypes (BinaryPrototype-BinaryCompound.csv), offstoichoimetric and ternary compounds in binary prototypes (BinaryPrototype-BinaryOffstoichiometricAndTernaryCompound.csv) and ternary compounds in ternary prototypes (TernaryPrototype-TernaryCompound.csv). The first column in each data set corresponds to the crystal-structure prototype, the second column to the chemical composition. Ternary compositions labelled A-B+C indicate that element B and element C occupy the same sublattice of the crystal structure. A+B-C correspondingly indicates that element A and element B occupy the same sublattice. These data sets were used to construct structure maps for predicting the crystal structure of a compound from only its chemical composition. For details on curation, further discussions and structure maps see original publications (Chem. Mater. 28, 2550−2556, 2016 and Modelling Simul. Mater. Sci. Eng. 25, 074002, 2017).</p>
Data set for the pottery excavated at the Liang Abu site (East Kalimantan, Indonesia)
<p>A table describing 1105 pottery sherds excavated at the Liang Abu site (Est Kalimantan, Indonesia).</p>
Data set for the shells excavated at the Liang Abu site (East Kalimantan, Indonesia)
<p>Data set for the 2431 shell excavated at the Liang Abu site (East Kalimantan, Indonesia).</p>
Cerveteri, Monte Abatone. Set di riproduzioni fotografiche delle tombe/tumuli, con digitalizzazione dei fotogrammi d'archivio
<p>Riproduzioni di archivio, scavi correnti e nuove acquisizioni raccolte negli anni di studi da parte della Cattedra di Etruscologia e Antichità Italiche (prof. Fernando Gilotta) del Dipartimento di Lettere e Beni Culturali dell’Università degli Studi della Campania “L. Vanvitelli”. Il dataset comprende oltre alle immagini di scavo degli anni 2018 e 2019 (dr. C. Rizzo, dr. V. Carafa), un notevole insieme di fotogrammi digitalizzati delle sequenze di scatti della sonda Minox realizzate durante le prospezioni Lerici svolte nella necropoli di Monte Abatone.</p>
Modelling snowpack bulk density using snow depth, cumulative degree-days and climatological predictor variables -- data set
<p>This file constitutes the data set containing the snow course survey, North American Regional Reanalysis (NARR)-derived degree-day indices, and climatological variables data used to conduct the analysis, and generate the figures and tables in the manuscript titled "Modelling snowpack bulk density using snow depth, cumulative degree-days and climatological predictor variables" by Andras J. Szeitz and R. Dan Moore. The manuscript was submitted for publication in the journal 'Hydrological Processes'.</p> <p>Due to the size of the NARR data files used to derive the air temperature time series for each snow course location, we recommend acquiring them from the National Oceanic and Atmospheric Administration's data portal directly (<a href="https://psl.noaa.gov/data/gridded/data.narr.html">https://psl.noaa.gov/data/gridded/data.narr.html</a>).</p> <p>Likewise, the ClimateNA software application used to extract the climatological variables for each snow course location can be obtained from the Centre for Forest Conservation Genetics, Department of Forest and Conservation Sciences, UBC, directly (<a href="https://climatena.ca/">https://climatena.ca/</a>).</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.