Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
45
datasets available to search
ShareScore release 0.9.0
Dataset results
45 results for “WWV”
w1ku FN42ei WWV 5 MHz 2019-10-01
<p>Dataset for Festival of Frequency Measurement, a component of the celebrations of WWV's 100th anniversary.</p> <p>UTC Date: 20191001</p> <p>Beacon frequency: 5000000</p> <p>Station Name: w1ku</p> <p>Grid: FN42ei</p> <p>City: Northborough, MA</p> <p><br> Equipment: RS-HFIQ (FOX924B TCXO), E-mu 0204 soundcard. > 24 hours warmup. HDSDR. Virtual sound card to fldigi. System time offset < 1 ms.</p> <p><br> SW: fldigi ver 3.23.08</p> <p><br> Soapbox: A great way to celebrate the centennial of WWV.</p> <p><br> Released publicly under Creative Commons: yes</p> <p> </p>
KiwiSDR Recordings of WWV Characterization Signal, N6GN, 15 November 2021
<p>This dataset contains three versions of a KiwiSDR recording of the WWV/H characterization signal, made remotely by William Liles NQ6Z. These three files have little noise and high SNR. They were collected using Glenn Elmore's, N6GN, equipment which antenna is in line of sight to WWV antenna so no ionospheric effects.</p> <p><strong>N6GN_20211115T190749_iq_15.wav:</strong> This is an IQ wav file without the kiwi time tags so standard wav code works such as scipy.io.wavfile.read. The sample rate is 20,249 sps which is stored in the wav file header.</p> <p><strong>N6GN_20211115T190749_am_15.wav</strong>: This is the AM demodulated version of the IQ file. You can play it in Audacity. </p> <p><strong>20211115T190749Z_15000000_N6GNrm_iq.wav</strong>: This is the raw IQ file with the time stamps (starting at zero) as collected from the kiwi. There is C and octave code to read it at <a href="https://github.com/jks-prv/kiwiclient">https://github.com/jks-prv/kiwiclient</a>. Since this is raw kiwiSDR file, each sample is 16 bits integer while the other two files are 32 bit floating point.</p> <p> </p>
Recording of WWV 5 MHz Near San Diego, CA , U.S.A
<p>Festival of Frequency Measurement 1 October 2019</p> <ul> <li>Mark Schoonover KA6WKE</li> <li>Grid: DM12lu/ Santee, CA</li> <li>Start time 0300z</li> <li>Beacon Freq: 5 MHz</li> <li>A description of station hardware configuration, including <ul> <li>W6LVP RX Loop at 7'</li> <li>~37 degrees</li> <li>Icom IC-7600</li> <li>Frequency reference type: Built-in to rig</li> <li>FLDigi</li> </ul> </li> </ul> <p>First time trying a frequency measurement.</p>
WWV measurements by VE3YX
<p>3 Files: Fldigi measurement of WWV, Fldigi measurement of stabilized sig gen, and WORD doc describing set up and issues.</p>
5 MHz WWV measurements Bakersfield, California
<p>Festival of Frequency Measurement 1 October 2019</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.