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5,462
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5,462 results for “binary”
Binary black-hole simulation SXS:BBH:0269
Simulation of a black-hole binary system evolved by the <a href="https://www.black-holes.org/code/SpEC.html">SpEC code</a>.
Binary black-hole simulation SXS:BBH:0239
Simulation of a black-hole binary system evolved by the <a href="https://www.black-holes.org/code/SpEC.html">SpEC code</a>.
Binary black-hole simulation SXS:BBH:0273
Simulation of a black-hole binary system evolved by the <a href="https://www.black-holes.org/code/SpEC.html">SpEC code</a>.
Binary black-hole simulation SXS:BBH:0256
Simulation of a black-hole binary system evolved by the <a href="https://www.black-holes.org/code/SpEC.html">SpEC code</a>.
Binary black-hole simulation SXS:BBH:0251
Simulation of a black-hole binary system evolved by the <a href="https://www.black-holes.org/code/SpEC.html">SpEC code</a>.
Binary black-hole simulation SXS:BBH:0211
Simulation of a black-hole binary system evolved by the <a href="https://www.black-holes.org/code/SpEC.html">SpEC code</a>.
Binary black-hole simulation SXS:BBH:0235
Simulation of a black-hole binary system evolved by the <a href="https://www.black-holes.org/code/SpEC.html">SpEC code</a>.
Binary black-hole simulation SXS:BBH:0223
Simulation of a black-hole binary system evolved by the <a href="https://www.black-holes.org/code/SpEC.html">SpEC code</a>.
Binary black-hole simulation SXS:BBH:0266
Simulation of a black-hole binary system evolved by the <a href="https://www.black-holes.org/code/SpEC.html">SpEC code</a>.
Binary black-hole simulation SXS:BBH:0230
Simulation of a black-hole binary system evolved by the <a href="https://www.black-holes.org/code/SpEC.html">SpEC code</a>.
Binary black-hole simulation SXS:BBH:0240
Simulation of a black-hole binary system evolved by the <a href="https://www.black-holes.org/code/SpEC.html">SpEC code</a>.
Binary black-hole simulation SXS:BBH:0275
Simulation of a black-hole binary system evolved by the <a href="https://www.black-holes.org/code/SpEC.html">SpEC code</a>.
Binary black-hole simulation SXS:BBH:0268
Simulation of a black-hole binary system evolved by the <a href="https://www.black-holes.org/code/SpEC.html">SpEC code</a>.
Binary black-hole simulation SXS:BBH:0286
Simulation of a black-hole binary system evolved by the <a href="https://www.black-holes.org/code/SpEC.html">SpEC code</a>.
Binary black-hole simulation SXS:BBH:0270
Simulation of a black-hole binary system evolved by the <a href="https://www.black-holes.org/code/SpEC.html">SpEC code</a>.
Binary black-hole simulation SXS:BBH:0244
Simulation of a black-hole binary system evolved by the <a href="https://www.black-holes.org/code/SpEC.html">SpEC code</a>.
Binary black-hole simulation SXS:BBH:0220
Simulation of a black-hole binary system evolved by the <a href="https://www.black-holes.org/code/SpEC.html">SpEC code</a>.
Binary black-hole simulation SXS:BBH:0258
Simulation of a black-hole binary system evolved by the <a href="https://www.black-holes.org/code/SpEC.html">SpEC code</a>.
Compressive strength measurements on binary and ternary blended cementitious paste specimens produced with seawater-mixing
<p>The following file consists of data from the published article Rathnarajan et al., (2024) Comprehensive evaluation of early-age hydration and compressive strength development in seawater-mixed binary and ternary cementitious systems published in Archives of Civil and Mechanical Engineering. </p> <p>The excel file contains of compressive strength data of cement paste specimens of size 2 cm. </p> <p>1. From column B to Column N: Mix proportion details including the type of binders, total binder content, and clinker substitution level with SCMs are provided</p> <p>2. From Column O to Column AM: Compressive strength data of the paste specimens were listed out for FW-mixed and SW-mixed cementitious systems for the testing ages, 2, 7, 14, 28 and 90 days. </p> <p>3. Also the % change in compressive strength is calculated by calculating the difference in strength between SW-mixed and FW-mixed specimen divided by strength of FW-mixed specimens</p> <p>SYMBOLS AND NOTATIONS</p> <p>PC - CEM I <br>PF - CEM I + Fly ash <br>PS - CEM I + Slag<br>PM - CEM I + Metakaolin<br>PL - CEM I + Limestone<br>FW - Fresh water mixed <br>SW - Seawater mixed<br>SCM - Supplementary cementitious materials like Fly ash, slag, metakaolin and Limestone<br>SD - Standard deviation<br>%change - Percentage change in compressive strength with respect to strength of FW-mixed paste cubes. </p>
Isothermal calorimetry data of seawater-mixed cement pastes produced with binary and ternary blended binder composition with fly ash, slag, metakaolin, and limestone
<p>The following file consists of data and its metadata from the published article Rathnarajan et al., (2024) Comprehensive evaluation of early-age hydration and compressive strength development in seawater-mixed binary and ternary cementitious systems published in Archives of Civil and Mechanical Engineering. </p> <p>Metadata file: metadata_calorimetry.xlsx consists of the details of file name, operator of equipment, test starting to completion time, number of hours, and notation of the mix-IDs according to the paper. </p> <p>In 11 data files in xlsx format, the heat flow and cumulative heat generated up to 7 days for the various binder combinations produced with CEM I, fly ash, metakaolin, slag, and limestone are presented. Along with that normalized heat flow and normalized cumulative heat with respec to time up to 7 days were included. The following are the data file names in .xlsx format included along with this zip file. </p> <p>P1-P8.xlsx<br>P9-P14.xlsx<br>P15-P18.xlsx<br>P19-P24.xlsx<br>P25-28.xlsx<br>P29-30-43-46.xlsx<br>P33_34-P39-41.xlsx<br>P47-P52.xlsx<br>P53-P58.xlsx<br>P59-P64.xlsx<br>P65-P70.xlsx</p> <p>The following files can be accessed with the pacakge Microsoft excel and data can be used for further analysis. </p>
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.