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5,462 results for “binary”
Calculated data from Thermodynamic modelling of the nature of speciation and phase behaviour of binary and ternary mixtures of formaldehyde, water and methanol. MolPhys 2023
<p>Calculated data in the figures of the publication. </p>
Binary Decision Diagrams on Modern Hardware
<p>The reproducibility artefact for the "Binary Decision Diagrams on Modern Hardware" paper.</p> <p> </p> <p>Follow the instructions in the README document. Depending on the concrete steps you want to reproduce, you may not need to download all files in the artefact. However, at the very least, you'll need either `bin.zip` (pre-compiled binaries) or `src.zip` (source code) and one of the benchmark datasets (`bdd-X-pruned.zip` and `benchmarks-X.tsv`).</p>
Stellar properties of observed stars stripped in binaries in the Magellanic Clouds - Spectral Models
<p>This Zenodo repository is one of three Zenodo repositories related to the article "Stellar properties of observed stars stripped in binaries in the Magellanic Clouds" by Y. Götberg, M.R. Drout, A.P. Ji, J.H. Groh, B.A. Ludwig, P.A. Crowther, N. Smith, A. de Koter, and S.E. de Mink. In the article, we analyze the optical spectra of ten stars and measure their stellar properties using spectral fitting. This repository contains the full spectral model grid computed using the 1D non-LTE radiative transfer code CMFGEN (see Hillier & Miller 1998 and http://kookaburra.phyast.pitt.edu/hillier/web/CMFGEN.htm). The grid spans three parameters: temperature, surface gravity, and surface hydrogen mass fraction (which also sets the surface helium mass fraction; Y = 1 - X - Z). See Section 4.1 for more details. Below, we describe the content presented here in more detail:</p> <ul> <li><strong>0_ReadMe.txt</strong>: A text file where we describe some more details regarding the content.</li> <li><strong>S41_spectral_model_grid_parameters.txt (95 KB):</strong> A table containing relevant parameter information for each model in the spectral model grid presented in Section 4.1.</li> <li><strong>S41_spectra_spectral_model_grid.tar.gz (479MB)</strong>: A .tar.gz containing the spectral energy distributions and normalized spectra in a text file for each model. The full CMFGEN models are provided as well (see below). This .tar.gz becomes 3.2 GB when inflated.</li> <li>Complete CMFGEN models for the full spectral model grid. Because of the size of these models, we group them into tarballs with one surface hydrogen mass fraction and one effective temperature, labeled for example <strong>XHs0.01_T40000.tar.gz</strong> (that is, this tarball contains a set of models with different surface gravity). Each of these have a size of ~1-3GB and when inflated the total content is ~5GB, and each model has about 500MB.</li> </ul>
Ultralow Dose PAH Binary Mixture Study
ClinicalTrials.gov study NCT03631667. IPD Sharing: NO. Countries: 1. Publications: 0.
Repurposing Domperidone in Secondary Progressive MS - A Simon 2-Stage Phase 2 Futility Trial - Table e1: Results of the binary logistic regression model
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Data from: Assessing gene-environment interactions for common and rare variants with binary traits using gene-trait similarity regression
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Data from: FiSSE: A simple non-parametric test for the effects of a binary character on lineage diversification rates
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Data from: Suitability of traits related to aggression and handleability for integration into pig breeding programmes: genetic parameters and comparison between Gaussian and binary trait specifications
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Data from: Identifying hidden rate changes in the evolution of a binary morphological character: the evolution of plant habit in Campanulid angiosperms
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Data from: Binary-state speciation and extinction method is conditionally robust to realistic violations of its assumptions
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Data from: Measuring the configurational temperature of a binary disc packing
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Data from: Dispersion, sedimentation, and aggregation of multi-walled carbon nanotubes as affected by single and binary mixed surfactants
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International Satellite Cloud Climatology Project (ISCCP) Stage DX Pixel Level Cloud Product - Revised Algorithm in Binary Format
ISCCP_DX_1 is the International Satellite Cloud Climatology Project (ISCCP) Stage DX Pixel Level Cloud Product - Revised Algorithm in Binary Format data set. It contains 3-hourly, 30 KM satellite image projection data from various polar and geostationary satellites. Pixel Level Cloud Product contents include calibrated radiances, cloud detection results, and cloud and surface properties from radiative analysis. Data collection for this data set is complete.ISCCP was the first project of the World Climate Research Program (WCRP) and was established in 1982 (WMO-35 1982, Schiffer and Rossow 1983) to:produce a global, reduced resolution, calibrated and normalized radiance data set containing basic information on the properties of the atmosphere from which cloud parameters can be derived; stimulate and coordinate basic research on techniques for inferring the physical properties of clouds from the condensed radiance data set and to apply the resulting algorithms to derive and validate a global cloud climatology for improving the parameterization of clouds in climate models; and promote research using ISCCP data that contributes to improved understanding of the Earth's radiation budget and hydrological cycle.Starting in 1983, an international group of institutions collected and analyzed satellite radiance measurements from up to five geostationary and two polar orbiting satellites to infer the global distribution of cloud properties and their diurnal, seasonal and inter-annual variations. The primary focus of the first phase of the project (1983-1995) was the elucidation of the role of clouds in the radiation budget (top of the atmosphere and surface). In the second phase of the project (1995 onward) the analysis was also concerned with improving understanding of clouds in the global hydrological cycle.The ISCCP analysis combined satellite-measured radiances (Stage B3 data, Schiffer and Rossow 1985, Rossow et al. 1987) with the Tiros Operational Vertical Sounder (TOVS) atmospheric temperature-humidity and ice/snow correlative data sets to obtain information about clouds and the surface. The analysis method first determined the presence of or absence of clouds in each individual image pixel and retrieved the radiometric properties of the cloud for each cloudy pixel and of the surface for each clear pixel. The pixel analysis was performed separately for each satellite radiance data set and the results were reported in the Stage DX data product, which had a nominal resolution of 30 km and 3 hours. The Stage D1 product was produced by summarizing the pixel-level results every 3 hours on an equal-area map with 280 km resolution and merging the results from separate satellites with the atmospheric and ice/snow data sets to produce global coverage at each time. The Stage D2 data product was produced by averaging the Stage D1 data over each month, first at each of the eight three hour time intervals and then over all time intervals.
ASTER Global Emissivity Dataset 1 kilometer Binary
The AG1kmB Version 3 dataset was decommissioned as of December 14, 2016. Users are encouraged to use the ASTER Global Emissivity Dataset 1-kilometer [AG1km](https://doi.org/10.5067/Community/ASTER_GED/AG1km.003) dataset in HDF5. The Terra Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Global Emissivity Dataset (GED) land surface temperature and emissivity (LST&E) data products are generated using the ASTER Temperature Emissivity Separation (TES) algorithm with a Water Vapor Scaling (WVS) atmospheric correction method using Moderate Resolution Imaging Spectroradiometer (MODIS) MOD07 atmospheric profiles and the MODerate spectral resolution TRANsmittance (MODTRAN) 5.2 radiative transfer model. This dataset is computed from all clear-sky pixels of ASTER scenes acquired from 2000 through 2008. The HDF5 version of the data are available for distribution, please see [AG1km](https://doi.org/10.5067/Community/ASTER_GED/AG1km.003) for more information.The National Aeronautics and Space Administration’s (NASA) Jet Propulsion Laboratory (JPL), California Institute of Technology, developed the ASTER GED product.Knonw Issues* Known issues are provided in Section 4 of the User Guide.Improvements/Changes from Previous Versions* Includes data for the entire globe.* Includes the mean climatology of all ASTER data for the specific temporal extent.
SAFARI 2000 MODIS MOD05_L2 Water Vapor Data, Binary Format, for Southern Africa
The Moderate Resolution Imaging Spectroradiometer (MODIS) precipitable water product consists of vertical column water-vapor amounts in centimeters (cm) at 1-km spatial resolution. The SAFARI 2000 product, provided in flat binary data files, is a subset of the official MODIS Level 2 MOD05 product in EOS Hierarchical Data Format (HDF) format. Specifically, the SAFARI product contains data from daytime-only MODIS granules over southern Africa for the period August 21, 2000, through September 20, 2000. A granule is the data collected over the full MODIS swath in a five-minute period. Further, the SAFARI product contains values generated by the MODIS near-infrared algorithm applied over clear land areas only (determined via the QA bit field). All values were derived from MODIS on the morning-pass Terra satellite. The product is very sensitive to boundary-layer water vapor since it is derived from attenuation of reflected solar light from the surface. This data product is essential to understanding the hydrological cycle, aerosol properties, aerosol-cloud interactions, energy budget, and climate.The MOD05 water vapor data files were converted from their original HDF format to flat binary files for this SAFARI 2000 data set. The conversion was performed using code developed in the Interactive Data Language (IDL) Version 5.5. The following Scientific Data Sets (SDS) are provided in this data set: Latitude; Longitude; Sensor_Zenith; and Water_Vapor_Near_Infrared.
ASTER Global Emissivity Dataset 100 meter Binary
The AG100B Version 3 dataset was decommissioned as of December 14, 2016. Users are encouraged to use the ASTER Global Emissivity Dataset 100-meter [AG100 Version 3](https://doi.org/10.5067/Community/ASTER_GED/AG100.003) dataset in HDF5. The Terra Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Global Emissivity Dataset (GED) land surface temperature and emissivity (LST&E) data products are generated using the ASTER Temperature Emissivity Separation (TES) algorithm with a Water Vapor Scaling (WVS) atmospheric correction method using Moderate Resolution Imaging Spectroradiometer (MODIS) MOD07 atmospheric profiles and the MODerate Spectral resolution TRANsmittance (MODTRAN) 5.2 radiative transfer model. This dataset is computed from all clear-sky pixels of ASTER scenes acquired from 2000 through 2008. The HDF5 version of the data are available for distribution, please see [AG100](https://doi.org/10.5067/Community/ASTER_GED/AG100.003) for more information.The National Aeronautics and Space Administration’s (NASA) Jet Propulsion Laboratory (JPL), California Institute of Technology, developed the ASTER GED product. Known Issues* Known Issues are provided in Section 4 of the ASTER GED User Guide.Improvements/Changes from Previous Versions* Includes data for the entire globe.* Includes the mean climatology of all ASTER data for the specific temporal extent.
Total RNA-seq of mouse olfactory epithelium in response to single odorants and binary mixtures
GEO Series GSE296359. Mus musculus. 24 samples. Type: Expression profiling by high throughput sequencing.
pS6 immunoprecipitation RNA-seq of mouse olfactory epithelium in response to single odorants, binary mixtures, and complex fragrances
GEO Series GSE296360. Mus musculus. 36 samples. Type: Expression profiling by high throughput sequencing.
Transcriptomic analysis of hepatotoxicity induced by pesticides imazalil, thiacloprid and clothianidin alone or in binary mixtures in a 28-day study in female Wistar rats
GEO Series GSE153986. Rattus norvegicus. 31 samples. Type: Expression profiling by high throughput sequencing.
YAP and TAZ Dictate Binary Pan-Cancer Superclasses
GEO Series GSE144975. Homo sapiens. 62 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
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.