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564
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ShareScore release 0.9.0
Dataset results
564 results for “June”
DIVINE: Andalusia Agroclimatic Information Network Historic Datasets - CORDOBA - (June 23 - May 24)
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DIVINE: Andalusia Agroclimatic Information Network Historic Datasets - SEVILLA - (June 23 - May 24)
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DIVINE: Andalusia Agroclimatic Information Network Historic Datasets - GRANADA - (June 23 - May 24)
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DIVINE: Andalusia Agroclimatic Information Network Historic Datasets - ALMERIA - (June 23 - May 24)
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DIVINE Pilot 4 - On Farm - Davis Instruments Weather Station and IoT sensors Datasets - (June 23 - May 24)
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DIVINE: Andalusia Agroclimatic Information Network Historic Datasets - JAEN - (June 23 - May 24)
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Airglow Imager and GNSS-TEC Data on 09 June 2021
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Supplementary Information on Origin and partitioning of mercury in the polluted Scheldt Estuary and adjacent coastal zone. STOTEN Volume 878, 20 June 2023, 163019
<p>Dataset on Hg speciation in surface water in the Scheldt estuary and Belgian coastal zone in 2020 and 2021</p>
Metadata for most downloaded Ruby packages - June 2024
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R-Prox RIR samples Darmstadt June 2017
<p>This dataset contains Room Impulse Response (RIR) measurements that we collected for evaluating the R-Prox proximity verification system. The package contains the original RIR sample recordings, processed audio files after deconvolution with the original signal, further processed audio files where the parts exceeding the RIR have been cropped, and precomputed features in CSV files. All the audio files are 16bit mono PCM Wave files.<br> <br> The original.wav file is the generated excitation signal that was emitted in the rooms.<br> Other files follow the naming convention recorded_ROOM_RECORDER-ID_TIMESTAMP{_fullrir|_cutrir}.wav<br> The files where .wav follows directly the timestamp are the original recordings; the ones with <em>fullrir</em> in the name are the original recording after deconvolution with original.wav; the ones with <em>cutrir</em> in their name are the cropped RIR samples.</p> <p>The CSV files contain extracted features like the RT60 value for the entire signal and for specific frequency ranges. An example of the extracted features of a single sample:</p> <pre><code>Filter Band RT60 EDT D/R C10 C35 C50 C80 0.566 0.401 9.544 -0.590 5.064 7.300 11.096 Oct 125Hz 0.093 1.195 9.548 -9.351 -4.757 -2.745 -1.001 Oct 250Hz 0.430 3.367 9.552 -11.705 -8.236 -6.218 -4.841 Oct 500Hz 0.692 0.809 9.564 -3.952 -0.989 0.377 4.227 Oct 1kHz 0.640 0.582 9.559 -1.836 1.438 3.581 7.143 Oct 2kHz 0.636 0.484 9.543 -0.357 3.971 5.744 9.415 Oct 4kHz 0.589 0.370 9.549 0.451 6.333 8.095 11.789 Oct 8kHz 0.518 0.398 9.545 -1.018 4.701 7.201 11.088 Oct 16kHz 0.471 0.318 9.548 -1.463 5.970 8.914 13.408 1/3 125Hz 0.042 0.415 9.605 -2.504 -0.749 0.129 22.719 1/3 160Hz 0.122 0.633 9.573 -2.150 3.079 4.293 4.603 1/3 200Hz 0.274 2.361 9.545 -13.815 -9.676 -8.875 -6.187 1/3 250Hz 0.156 2.175 9.554 -9.833 -6.198 -5.467 -5.086 1/3 315Hz 0.046 0.572 9.557 -4.743 -2.653 3.075 7.797 1/3 400Hz 0.184 0.859 9.545 -6.032 -0.763 3.208 4.707 1/3 500Hz 0.688 0.976 9.555 -4.107 -0.176 1.401 2.865 1/3 630Hz 0.664 0.805 9.558 -6.423 -2.636 -1.604 3.992 1/3 800Hz 0.672 0.771 9.546 -3.799 -1.284 0.163 4.211 1/3 1kHz 0.620 0.644 9.546 -3.718 -0.355 0.606 4.326 1/3 1.3kHz 0.632 0.566 9.551 -3.745 0.293 3.464 8.282 1/3 1.6kHz 0.704 0.520 9.550 -1.082 3.188 5.015 7.854 1/3 2kHz 0.643 0.518 9.554 -0.331 2.060 5.214 8.615 1/3 2.5kHz 0.643 0.516 9.568 -1.302 4.395 5.647 8.990 1/3 3.2kHz 0.589 0.456 9.546 0.773 4.569 5.872 10.156 1/3 4kHz 0.586 0.351 9.549 -0.148 7.023 8.817 12.605 1/3 5kHz 0.603 0.435 9.545 -0.709 5.325 7.042 10.348 1/3 6.3kHz 0.567 0.385 9.546 -2.436 4.609 6.797 11.164 1/3 8kHz 0.502 0.414 9.545 -0.812 4.478 7.015 10.773 1/3 10kHz 0.438 0.328 9.554 -1.899 5.855 8.598 13.376 1/3 12.5kHz 0.321 0.237 9.598 -1.060 8.030 12.542 17.905 1/3 16kHz 0.541 0.341 9.546 0.635 6.372 8.562 11.948 1/3 20kHz 0.539 0.205 9.587 1.624 9.700 11.512 13.696</code></pre> <p> </p>
ENVRIplus_Stromboli_Data_September_2017_June_2018
<p>Data sets from fieldwork on Stromboli for the UPDASH ENVRIplus project, looking at detecting volcanic ash using depolarisation of sunlight</p>
Federal Reserve Statistical Release, Consumer Credit, June 2019
<p>Consumer Credit Outstanding1 Seasonally adjusted. Billions of dollars except as noted.</p>
WikiPathways June 2019 Release - GPML and RDF files
<p>Archive of the WikiPathways June 2019 GPML files for <em>Homo sapiens</em> and the GPMLRDF and WPRDF translations. The data is available as CCZero.</p>
Soapberry Bugs resource June 2011: Soapberry_bugs_of_the_world.tar.gz (DwCA)
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FIGURE 1. A in Timothy J. Motley (4 June 1965-28 March 2013) and his passion for Ethnobotany and Pacific Islands flora
FIGURE 1. A. Tim two years old (on left), with his brothers Jeremy and Gavin. B. Tim eight years old (middle), on first school day of third grade, waiting for the bus with Jeremy and Gavin. C. Tim on his 14th birthday celebration. D. Tim with Rapa Iti on background, during the 2002 expedition. E. Tim and Tatyana on wedding day. F. Tim teaching, with students at Old Dominium University. A, B and C photos by Joan Motley, D photo by Roland Fenstemacher, E photo by Daniel Atha, F photo by Sushil Paudyal.
Posts published on Facebook (December 26 2020 - June 26 2021)
<p><strong>Skrzypek, Maciej, Posts published on Facebook (December 26 2020 - June 26 2021).<br></strong></p> <p><strong>This dataset was elaborated for the research project <em>Civil Disorder in Pandemic-ridden European Union</em>. The latter was financially supported by the National Science Centre, Poland [grant number 2021/43/B/HS5/00290].</strong></p>
Local Time Variations of Quiet Time Meridional Winds during June and December based on ICON Observations and Numerical Simulations
<p>The file named '<a href="../api/records/12139509/draft/files/geomagnetic%20index.mat/content" target="_blank" rel="noopener noreferrer">geomagnetic index</a>' includes Kp, F10.7p, By and Bz indices, AE and Dst indices. The file named '<a href="../api/records/12139509/draft/files/MWjym12.mat/content" target="_blank" rel="noopener noreferrer">MWjym06</a>', '<a href="../api/records/12139509/draft/files/MWjym12.mat/content" target="_blank" rel="noopener noreferrer">MWjym12</a>' are the meridional winds of ICON observations in June and December. The file named '<a href="../api/records/12139509/draft/files/VN_mean06.mat/content" target="_blank" rel="noopener noreferrer">VN_mean06</a>', '<a href="../api/records/12139509/draft/files/VN_mean06.mat/content" target="_blank" rel="noopener noreferrer">VN_mean12</a>' , '<a href="../api/records/12139509/draft/files/VN_mean06.mat/content" target="_blank" rel="noopener noreferrer">VNnotide_mean06</a>','<a href="../api/records/12139509/draft/files/VN_mean06.mat/content" target="_blank" rel="noopener noreferrer">VNnotide_mean12</a>' include the parameters of TIEGCM simulated meridional winds and the forcing terms with and without tides in June and December. The file named 'F107_70' is the simulation in December in F10.7=70.</p>
Comparison of CIMI simulations and TWINS observations on 28th--29th June 2013
<p>The file contains results of CIMI simulations for 28-29 June 2013. Variation of ion pressure, anisotropy, intensity and ion spectra with locations given by radial distance rho and magnetic local time is included.</p>
Neural Network Radiation Emulator (KMA/NIMS), June
<p>The dataset is a part of https://doi.org/10.5281/zenodo.5220712 (June)</p>
Gust data for Qingdao City, Shandong Province, China from April 27 to June 8, 2021
<p>This data set shows gust parameters calculated using Doppler Lidar deployed in Qingdao, Shandong Province, China from April 27 to June 8, 2021.</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.