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517 results for “October”
SG - October 2021
<p>Measurements of SG (Global) in October 2021</p> <p> </p> <p>Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/SG">info</a></p>
LPL5 - October 2020
<p>Measurements of LPL5 (Tejeda) in October 2020</p> <p>Tejeda, Gran Canaria</p> <p>Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/LPL5">info</a></p>
LPL1 - October 2020
<p>Measurements of LPL1 (Güímar) in October 2020</p> <p>Tenerife</p> <p>Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/LPL1">info</a></p>
CONTINUUM HYDROLOGICAL MODEL SAMPLE DATA FOR WRF 24 OCTOBER 2021 (APOLLO MEDICANE CASE)
<p>CONTINUUM HYDROLOGICAL MODEL SAMPLE DATA FOR WRF 24 OCTOBER 2021 (APOLLO MEDICANE CASE). Data are ready for publication on MyDewetra platform</p>
October 2019 700 kHz multibeam echo sounder data used for Seasonal Change of Multifrequency Backscatter in three Baltic Sea Habitats
<p>The raw data used for the study</p> <p>Seasonal Change of Multifrequency Backscatter in three Baltic Sea Habitats</p> <p>by Schulze et al.; currently under review at Frontiers in Remote Sensing. </p> <p> </p> <p>Files are stored in the s7k-Format, and sorted by date of acquisition and frequency. 200 and 400 kHz data were manufacturer-calibrated. Correct absorption values have been applied duirng the export. Refer to the paper for further dataset information.</p> <p> </p> <p>This upload stores the 700 kHz data recorded in October 2019.</p>
LPCA beach morphological evolution during October 2018 field experiment
<p>LPCA beach morphological evolution during October 2018 field experiment. <strong>(a)</strong> Time exposure (timex) image consisting of averaged pixel intensity over the record length of the stack and <strong>(b)</strong> standard deviation image showing the amount of change in pixel intensity over the record length of the stack in order to highlight preferential wave breaking. The magenta line indicates the zero-elevation contour relative to NGF-IGN69. <strong>(c)</strong> Kalman-filtered cBathy video-derived bathymetries. Elevation contours are spaced at 0.5 m intervals relative to NGF-IGN69. <strong>(d)</strong> Bathymetric change maps; difference between cBathy-derived bathymetries (panel c) and the cBathy-derived bathymetry from 8/Oct/2018 07:30:00 GMT, where red colors indicate sand accretion and blue colors sand erosion with respect to 8 October 2018 video-derived bathymetry. <strong>(e)</strong> Offshore significant wave height H<sub>s</sub> (red line; left axis), tidal elevation (blue line; right axis), 12-h-averaged alongshore wave energy flux P<sub>long</sub> (green line; right axis) and 12-h-averaged angle of peak wave incidence θ<sub>p</sub> (purple line; right axis) time series.</p>
Tess-October-2017
<p>Measurements of the STARS4ALL Photometer Network</p>
HEartS Professional Survey: Charting the effects of COVID-19 on working patterns, income, and well-being among arts professionals in China (October 2020, August 2021)
<p>These data were collected using the HEartS Professional China survey from performing arts workers in China in October 2020 and August 2021. HEartS Professional China is an adaptation of the HEartS Professional surveys which were used in 2020-2021. All the surveys were designed as multi-strategy data collection tools with two main purposes: (1) to chart working patterns, income, sources of support, and indicators of mental and social well-being to identify trends in the effects of the lockdown at the time and (2) to explore the individual work and wellbeing experiences of performing arts professionals in their own words, to identify the subjective effects of lockdown in terms of challenges and opportunities. The survey covers six areas: 1) demographics; (2) information on illness or self-isolation related to COVID-19; (3) work profiles and income; (4) changes to work profiles and income as a result of the pandemic, as well as sources of support; (5) open-response questions about work and wellbeing experiences of lockdown including challenges and opportunities; and (6) validated measures of health, wellbeing, and social connectedness. The HEartS Professional surveys are adaptations of the HEartS Survey which charts the Health, Economic, and Social impacts of the ARTs (<a href="https://doi.org/10.5061/dryad.3r2280gdj">https://doi.org/10.5061/dryad.3r2280gdj</a>).</p>
Seen Time Dataset of Malicious DNS IPs (October 2021)
<p><span>This collection consists of two complementary datasets focused on the seen time records of IP addresses involved in DNS-related attacks targeting port 53, identified in October 2021. The datasets were constructed using open-source intelligence (OSINT) sources and enriched with historical data from AbuseIPDB.</span></p> <p><strong><span>Raw Data</span></strong></p> <p><span>Description: This dataset includes the full historical seen time records for all IP addresses linked to DNS-related attacks on port 53, as identified by OSINT in October 2021. The data, sourced from AbuseIPDB, encompasses 173 IP addresses before preprocessing, providing a comprehensive view of the observed malicious activities.</span></p> <p><strong><span>Preprocessed Data</span></strong></p> <p><span>Description: This dataset provides the preprocessed seen time records for IP addresses involved in DNS-related attacks on port 53, sourced from OSINT and enriched with data from AbuseIPDB. The preprocessed dataset narrows the focus to 111 IP addresses, each with at least 20 seen time records, offering a high-quality subset for detailed cybersecurity analysis and research into DNS attack trends.</span></p>
Yellowstone Upper Basin Geyser binary eruption data (April 2007- October 2008; revised)
<p>Binary eruption data for 10 Geysers (Beehive, Castle, Depression, Dome, Grand, Lion, Little Squirt, Old Faithful, Plate, and Plume) over 19 consecutive months (April 2007- October 2008) at a sampling interval of 6 minutes.</p>
Spot6 and Pléiades Digital Elevation Models (DEMs) and elevation change grid to understand the South Lhonak lake (Sikkim) flood of October 2023
<p>===========================</p> <p>Introduction</p> <p> </p> <p>On 3 October 2023, a multi-hazard cascade in the Sikkim Himalaya, India, was triggered by the collapse of a frozen lateral moraine into South Lhonak Lake</p> <p>We share here the SPOT6 and Pléiades DEMs and the elevation change maps derived from these images. The collection includes four files:</p> <p>Two pre-event DEMs from SPOT6</p> <p>2018-12-01_Lhonak_DEM_SGM_4m_on_Cop30_BiasCorr_NoData_aligned.tif</p> <p>2018-12-08_Lhonak_DEM_SGM_4m_on_Cop30_BiasCorr_NoData_aligned.tif</p> <p>One post-event mosaic DEM from Pléiades </p> <p>Post-Event_DEM_SGM_october2023.tif</p> <p>One grid of elevation change from 2018 to 2023</p> <p>dh_mosaic_Lhonak_SGM_median.tif</p> <p> </p> <p>===========================</p> <p>Methods</p> <p>The SPOT6 and Pléiades stereo-images were processed using the Ames Stereo Pipeline (ASP, Beyer et al., 2018), yielding a DEM in 4x4 m GSD. The processing was done using as only input the stereo-images and their orientation information, as Rational Polynomial Coefficients (RPCs). The parallel_stereo routine performs all the steps needed in the correlation of the stereo-images, yielding a pointcloud which is then interpolated using the routine point2dem. We used the semi global matching algorithm and the set of processing parameters from Deschamps-Berger et al. (2020)</p> <p>Beyer, R. A., Alexandrov, O., and McMichael, S.: The Ames Stereo Pipeline: NASA’s Open Source Software for Deriving and Processing Terrain Data, Earth and Space Science, 5, 537–548, https://doi.org/10.1029/2018EA000409, 2018.</p> <p>Deschamps-Berger, C., Gascoin, S., Berthier, E., Deems, J., Gutmann, E., Dehecq, A., Shean, D., and Dumont, M.: Snow depth mapping from stereo satellite imagery in mountainous terrain: evaluation using airborne laser-scanning data, The Cryosphere, 14, 2925–2940, https://doi.org/10.5194/tc-14-2925-2020, 2020.</p> <p> </p> <p>===========================</p> <p>Data Specifications:</p> <p>Cartographic projection: UTM zone 45N (EPSG:32645)</p> <p>Origin of Elevation: meters above WGS84 ellipsoid</p> <p>Raster data format: GeoTIFF</p> <p>NoData value : -9999</p> <p> </p> <p>===========================</p> <p>Acknowledgements:</p> <p>Pléiades and SPOT6 images were acquired thanks to the CIEST2 service developed and performed with the French Space Agency (CNES) by FormaTerre, Solid Earth component of the Data Terra Research Infrastructure</p> <p> </p> <p>===========================</p> <p>Dataset Attribution:</p> <p>This dataset is licensed under a Creative Commons CC BY-NC 4.0 International License (Attribution-NonCommercial).</p> <p> </p>
npm dependencies of October 2018
<p>npm dependencies with the actual used version, computed for 14 October 2018 using the semver.org implementation in npm. </p>
Festival of Frequency Measurement 1 October 2019
<p>Event: Festival of Frequency Measurement</p> <p>UTC date: 1 october 2019</p> <p>Beacon frequency: 5.0 MHz</p> <p>McMahan, Tom K1FR</p> <p>Latitude: 41.83</p> <p>Longitude: -77.10</p> <p>Start time of .CSV file: 0:00:04</p> <p>Station description:</p> <p>Long wire antenna</p> <p>FlexRadio 6700</p> <p>Freq ref - GPSDO</p> <p>Freq measurement type - fldigi </p> <p> </p> <p> </p>
Festival of Frequency Measurement 1 October 2019
<p>Festival of Frequency Measurement 1 October 2019</p> <p>Robert, VA3ROM</p> <p>Thunder Bay Ontario Canada 48.452682 -89.20975 216 m ASL</p> <p>At start of event SFI=68 A=14 K=2 and at end of event SFI=68 A=14 K=0.</p> <p>File 1 created usging Fldigi 4.1.08 + PowerSDR (KE9NS version) + Flex-1500 SDR + GDPSDO + ground-mounted vertical (resonant on 30 m band).</p> <p>File 2 created using Fldigi 4.1.08 + SDRuno + RSPduo (no GPSDO) + 80 m 1/4 wave sloping dipole orientated and sloping down from north (6 m AGL) to-south (1 M AGL).</p> <p>Everything ran fully automatic so no problems encountered thanks to a couple of days of preparations to setup receivers, antennas and software and emergency backup power (just in case).</p> <p>I was also able to record WWV's received dBm and SNR values with the SDRuno software if that data would be of any value to see how it would relate to frequency shifts of the time signal over time go hand--in-hand or not.</p> <p>73.</p> <p> </p>
Festival of Frequency Measurement 1 October 2019
<p>Ray Overmyer, KB3NSH</p> <p>Lat Long 40.49 -79.85</p> <p>Start Time of .csv 1 October 2019 00:55:52</p> <p>Hardware config:</p> <p>- G5RV Jr 20 feet up</p> <p>- Antenna orientation North-South</p> <p>- Receiver Icom 7200</p> <p>- Frequency reference type : Icom 7200</p> <p>- Frequency measurement technique: fldigi Freq Anal mode</p> <p>Difficulties had: 5 MHz was in the noise, so I monitored 10 MHz</p>
Festival of Frequency Measurements 1 October 2019
<p>Data from fldigi from 1 Oct 2019 WWV 5 MHz</p> <p>Location: EL88rb</p> <p>Antenna: Inverted L</p> <p>Reeiver: ICOM 7300</p> <p> </p>
Festival of Frequency Measurement Submission 1 October 2019
<p>Festival of Frequency Measurement 1 October 2019</p> <ul> <li>Denis Hinz W3FAY</li> <li>38.9975N, 76.755278W - FM18ox</li> <li>Bowie, Maryland</li> <li>Beacon Frequency - 5 MHz</li> <li>Start time 0000 UTC, 1 October 2019</li> <li>A description of station hardware configuration, including <ul> <li>Antenna type - vertical</li> <li>Receiver type - Elecraft K3</li> <li>Frequency reference type - internal .5 ppm TXCO</li> <li>Frequency measurement technique - FLDIGI Frequency Analysis procedure</li> </ul> </li> <li>Any other information you believe would be necessary for proper scientific interpretation of your measurements - Vertical is sub-optimal (random length of wire helically wound on 28' fiberglass telescoping pole with autotuner tuned to 40 Meters and currently no radials); K3 zero-beat to 15 MHz WWV 48 hours prior to measurement event.</li> </ul>
Festival of Frequency Measurement 1 October 2019
<p>Festival of Frequency Measurement Submission</p> <p>Callsign: AA6LK</p> <p>Latitude and Longitude of the Recording: 38.9425 -121.1562 (CM98kw)</p> <p>Start time of the .csv file: Sept. 30 23:55:11 UTC</p> <p> station hardware</p> <p> Antenna type: Hustler 5BTV multiband vertical.</p> <p> Receiver type: Yaesu FT-847, set to AM-narrow mode.</p> <p> Frequency reference: HP Z3805A GPSDO as external reference to Marconi 2019 signal generator.</p> <p> Frequency measurement technique: GPSDO and signal generator combination were used to generate a</p> <p> signal at 4.999 MHz which was injected into the receiver, tuned to 4.9995 MHz, along with</p> <p> the measured signal, creating a ~1 kHz beat tone which was tracked by fldigi. No </p> <p> correction to fldigi clock error was included but was found to cause fldigi readings to be</p> <p> 0.012 Hz high. Injected signal level was adjusted to exceed maximum expected</p> <p> measurement signal level, resulting in a constant "S-meter" reading of S9+20.</p>
Festival of Frequency Measurement 1 October 2019
<p>Festival of Frequency Measurement 1 October 2019</p> <p>Event: WWV Centennial</p> <p>UTC Date: 20191001</p> <p>Beacon frequency: 05.000 000</p> <p>Name and Callsign: Jimmy Herrera XE3I (X-Ray Eco Three India)</p> <p>Latitude: 21.1742 N</p> <p>Long: -86.8465 W</p> <p>Grid: EL61nc</p> <p>City: Cancun, Quintana Roo - Mexico</p> <p>Difficulties had: No</p> <p>Antenna type: Rotative Dipole (40 mts.)</p> <p>Antenna pointing direction (if applicable): North - South</p> <p>Receiver type: Kenwood TS-590S</p> <p>Frequency reference type: 04.999.00 USB</p> <p>Frequency measurement technique: Fldigi ver 3.23.21</p> <p>Soapbox: Very interesting experiment.<br> <br> Released publicly under Creative Commons: Yes</p> <p>Open Source: Yes</p> <p>Creative Commons Attribution 4.0: Yes</p>
Festival of Frequency Measurement 1 October 2019 WB4HIR
<p>Festival of Frequency Measurement 1 October 2019</p> <p>Rodger Adams, WB4HIR</p> <p>WWV 5 MHZ</p> <p>Start time 21:02:38 UTC Sept. 30 2019</p> <p>Stop time 1:27:03 UTC Oct. 2 2019</p> <p>Antenna, attic mount, 70 ft balanced doublet</p> <p>Kenwood TS-590s receiver with TCXO</p> <p>FLDIGI in analysis mode, Receiver tuned to 4.999 USB mode</p> <p>Lat 35.08N Long 80.83W Alt 619 ft above MSL EM95OB</p> <p>Charlotte, NC</p>
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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.