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239 results for “eclipse”
sohamphanseiitb/BIG_Data_5MSEC: BIG Data Analysis of NASA's 5 Millennium Solar Eclipse Database
<p>Solar eclipses are a topic of interest among astronomers, astrologers and the general public as well. There were and will be about 11898 eclipses in the 5 millennia from 2000 BC to 3000 AD. Data visualization and regression techniques offer a deep insight into how various parameters of a solar eclipse are related to each other. Physical models can be verified and can be updated based on the insights gained from the analysis.</p> <p>The study covers the major aspects of data analysis including data cleaning, pre-processing, EDA, distribution fitting, regression and machine learning based data analytics. We provide a cleaned and usable database ready for EDA and statistical analysis.</p>
Research Artifact: How are Project-Specific Forums Utilized? A Study of Participation, Content, and Sentiment in the Eclipse Ecosystem
<p><strong>Research Artifact: How are Project-Specific Forums Utilized? A Study of Participation, Content, and Sentiment in the Eclipse Ecosystem</strong></p> <p><a href="https://github.com/yusufsn/EclipseForumData">https://github.com/yusufsn/EclipseForumData</a></p> <p>This is a research artefact for the paper: <strong>How are Project-Specific Forums Utilized? A Study of Participation, Content, and Sentiment in the Eclipse Ecosystem</strong>. This artifact is a repository consisting of collected dataset including (i) 289,061 threads, (ii) 216,864 extracted links from threads, (iii) 2,170 contributors, and the results of our qualitative analysis, (i) 1,142 manually annotated type of discussion and (ii) 1,142 manually annotated sentiment analysis. This artefact aims to enable researchers to replicate our mixed-methods quantitative results of the paper and reuse the dataset for further software engineering research.</p> <p>Contents</p> <ul> <li>dataset: <ul> <li><code>289061_threads.csv.zip</code> - 289,061 collected main threads of all users without post from webmaster (.zip format)</li> <li><code>216864_links.csv.zip</code> - 216,864 extracted links from collected threads (.zip format)</li> <li><code>2170_contributors.csv</code> - 2,170 list of contributions (.csv format)</li> </ul> </li> <li>Results of manual analysis: <ul> <li><a href="https://docs.google.com/spreadsheets/d/e/2PACX-1vQoRpcbrV66OEB4vaCG9Njq65zW7XpLRITYG3BlUOoa_DmeOKcdQIgYJ8y2aSlmL3y9bCUhjpP3rYmT/pubhtml">Manual annotation of discussion type</a></li> <li><a href="https://docs.google.com/spreadsheets/d/e/2PACX-1vQfyvsP1Zq3b9p_BYwkkgYXuEePJB6sIroC47jOUMcR5P8t7DCJFNpOJD565SPgqi--L3AAIQWs2kC5/pubhtml">Manual annotation of sentiment analysis</a></li> </ul> </li> </ul> <p>Authors</p> <ul> <li><a href="https://yusufsn.github.io/">Yusuf Sulistyo Nugroho</a></li> <li><a href="https://syful-is.github.io/">Syful Islam</a></li> <li>Keitaro Nakasai</li> <li><a href="https://ifrazrehman.github.io/">Ifraz Rehman</a></li> <li><a href="https://hideakihata.github.io/">Hideaki Hata</a></li> <li><a href="https://raux.github.io/">Raula Gaikovina Kula</a></li> <li><a href="https://cs.uwaterloo.ca/~m2nagapp/">Meiyappan Nagappan</a></li> <li><a href="https://matsumotokenichi.github.io/">Kenichi Matsumoto</a></li> </ul>
Eclipse Platform UI
<p>Bug localization refers to the automated process of locating the potential buggy files for a given bug report. To help developers focus their attention to those files is crucial. Several existing automated approaches for bug localization from a bug report face a key challenge, called lexical mismatch, in which the terms used in bug reports to describe a bug are different from the terms and code tokens used in source files. This paper presents a novel approach that uses deep neural network (DNN) in combination with rVSM, an information retrieval (IR) technique. rVSM collects the feature on the textual similarity between bug reports and source files. DNN is used to learn to relate the terms in bug reports to potentially different code tokens and terms in source files and documentation if they appear frequently enough in the pairs of reports and buggy files. Our empirical evaluation on real-world projects shows that DNN and IR complement well to each other to achieve higher bug localization accuracy than individual models. Importantly, our new model, HyLoc, with a combination of the features built from DNN, rVSM, and project’s bug-fixing history, achieves higher accuracy than the state-of-the-art IR and machine learning techniques. In half of the cases, it is correct with just a single suggested file. Two out of three cases, a correct buggy file is in the list of three suggested files.</p>
Rediscovery Datasets: Connecting Duplicate Reports of Apache, Eclipse, and KDE
<p>We present three defect rediscovery datasets mined from Bugzilla. The datasets capture data for three groups of open source software projects: Apache, Eclipse, and KDE. The datasets contain information about approximately 914 thousands of defect reports over a period of 18 years (1999-2017) to capture the inter-relationships among duplicate defects. </p> <p><strong>File Descriptions</strong></p> <ul> <li>apache.csv - Apache Defect Rediscovery dataset</li> <li>eclipse.csv - Eclipse Defect Rediscovery dataset</li> <li>kde.csv - KDE Defect Rediscovery dataset</li> </ul> <p> </p> <ul> <li>apache.relations.csv - Inter-relations of rediscovered defects of Apache</li> <li>eclipse.relations.csv - Inter-relations of rediscovered defects of Eclipse</li> <li>kde.relations.csv - Inter-relations of rediscovered defects of KDE</li> </ul> <p> </p> <ul> <li>create_and_populate_neo4j_objects.cypher - Populates Neo4j graphDB by importing all the data from the CSV files. Note that you have to set dbms.import.csv.legacy_quote_escaping configuration setting to false to load the CSV files as per https://neo4j.com/docs/operations-manual/current/reference/configuration-settings/#config_dbms.import.csv.legacy_quote_escaping</li> <li>create_and_populate_mysql_objects.sql - Populates MySQL RDBMS by importing all the data from the CSV files</li> <li>rediscovery_db_mysql.zip - For your convenience, we also provide full backup of the MySQL database</li> </ul> <p> </p> <ul> <li>neo4j_examples.txt - Sample Neo4j queries</li> <li>mysql_examples.txt - Sample MySQL queries</li> <li>rediscovery_eclipse_6325.png - Output of Neo4j example #1</li> </ul> <p> </p> <ul> <li>distinct_attrs.csv - Distinct values of bug_status, resolution, priority, severity for each project</li> </ul>
Dry run for Eclipse data gathering. Method, Doppler and amplitude vs time
<p>The station here is setup to receive two frequencies simultaneously. SpectrumLab is setup to do simultaneous FFT calculations and tabulate Doppler Shift and signal amplitude data for each frequency. The radio used is a K3 in the CW mode with AGC off. The main and subrx of the K3 are identical and phase locked. The antenna is a multiband Vee antenna facing north averaging 15' high. FFT parameters are adjusted for a bin width of 0.186 Hz with the SL peak detection algorithm turned on to determine the peak frequency within the bin. 75% overlap. A data point is obtained every 1.3 seconds. Doppler shift is determined via the heterodyne method differencing the station pitch and the reference oscillator (offset in freq). Both oscillators are locked to a Rubidium standard.</p> <p>The attached plots are the station setup, Doppler shifts for CHU 14670 kHz and 15000 kHz, and the amplitudes of each. </p> <p> </p>
Solar eclipse radio frequency measurements
<p>Measurements of the carrier frequency of the NIST radio station WWV on 10 MHz, as performed in north suburban Milwaukee, Wisconsin, during the solar eclipse of August 21, 2017. Details are in the file "readme.pdf".</p> <p>Steven Reyer, WA9VNJ, approx. Lat/Long = 43.218, -87.951. WAV file start time = 1400 UTC. Antenna is a DX Engineering RF-PRO-1B aimed north-south, receiver is a Yaesu FT-857D locked to a Trimble Thunderbolt GPS via an XRef-FT oscillator interface. I tuned the radio to 9999.00 kHz USB and listened for the resulting nominal 1000 Hz tone, which was measured by Spectrum Lab software, doing 512k-point FFTs, overlapping 75%, resulting in a measurement every 12 seconds. </p> <p> </p> <p> </p>
I/Q Recording for 160 Meters During August 21, 2017 Solar Eclipse at W3OA
<p>I/Q Recording for 160 Meters Amateur Band During August 21, 2017 Solar Eclipse<br> Recorded by Richard Williams, W3OA<br> Location was 35 degrees, 34 minutes, 43.55 seconds North; 80 degrees, 56 minutes, 50.80 secondes West<br> Antenna was an 80 meter dipole 50 feet high<br> Receiver was a QS1R</p>
2017 Solar Eclipse Doppler and signal strengths
<p>K3KO 30.210666N,81.603833W Jacksonville FL. No .wav file. Antenna Vee pointed north.K3 rx. CHU 14.670 MHz and WWV 15 MHz measured.</p> <p>Rb locked reference oscillators. Methodology described in *. doc file upload</p>
FFT and WAV files of 10MHz WWV Doppler shift during 8-21-2017 Solar eclipse
<p>HL Serra N6NC</p> <p>San Diego CA 32-50-36N 117-16-16W</p> <p>FFT and WAV files started 1415UT-2300UT 8-21-2017 [FFT file starts 24 hrs earlier for comparison FFTs)</p> <p>Omnidirectional 8" "active antenna"</p> <p>Rcvr Racal RA 6790 in USB mode</p> <p>Rcvr and HP-3325A GPSDO-controlled 10 MHz.</p> <p>Tuned rcvr to 9,999,000 Hz in USB mode to record in SpecLab the offset from 1000Hz beat note of 10 MHz signal.</p> <p>Very little if any Doppler shift of signal during eclipse, probably because I am located on the same side of the eclipse totality as WWV in Boulder CO. Besides rcvr, I tracked WWV frequency with GPSDO-controlled HP-3325 and scope comparing the tuned HP frequency with the rcvr's 455kHz IF to find recorded FFT offset. HP stable for two days showing WWV freq as 10,000,000.013 Hz by watching unmoving Lissajous figure on scope, so no visually perceptible Doppler excursions in frequency detected, but the FFT data will show whatever frequency movement there might have been.</p> <p> </p> <p>73, Larry N6NC</p>
I/Q Recording for 80 Meters During August 21, 2017 Solar Eclipse at W3OA
<p>I/Q Recording for 80 Meters Amateur Band During August 21, 2017 Solar Eclipse<br> Recorded by Richard Williams, W3OA<br> Location was 35 degrees, 34 minutes, 43.55 seconds North; 80 degrees, 56 minutes, 50.80 secondes West<br> Antenna was an 80 meter dipole 50 feet high<br> Receiver was a QS1R</p>
eclipse data
<p>Brian Alsop, K3KO 30.210666N, 81.603833W (Jacksonville, FL). No .wav file. Six .txt files in required format. 5 .jpg files plotting data. One MS Word file (.doc) describing methods and summarizing results.</p> <p>Ant- VEE pointing N, K3 RX, Rb locked reference oscillators. 14.670 MHz CHU and 15 MHz WWV received simultaneously and audio output sent to Spectrumlab which does simultaneous FFT's on the data stream.</p>
Eclipse 2017 recording of lower 17m ham band from grid EM93sl
<p>Peter Kobak, K0BAK</p> <p>Wideband recording of the digital/CW portion of the 17 meter ham band,<br> from a location a few miles from the eclipse centerline in South Carolina:</p> <p>33.485145N, 80.475172W</p> <p>.wav file sample rate 48000Hz</p> <p>Recorded IQ from a Flex Radio model 1500, tuned to 18.094MHz</p> <p>PowerSDR panadapter indicated a range 18.068 to 18.111,<br> but Flex says the displayed bandwidth of the radio is about 32kHz</p> <p>Start time (approx): <br> Aug. 21, 2017,<br> 12:22:32 UTC<br> End time (approx):<br> 22:16:26 UTC</p> <p>Antenna:<br> 36-inch diameter "magnetic" loop.<br> Position was inside a third floor hotel room,<br> with the loop a few inches from the window.<br> </p> <p>See .txt file for more details</p>
I/Q Recording for 15 Meters During August 21, 2017 Solar Eclipse at W3OA
<p>I/Q Recording for 15 Meters Amateur Band During August 21, 2017 Solar Eclipse<br> Recorded by Richard Williams, W3OA<br> Location was 35 degrees, 34 minutes, 43.55 seconds North; 80 degrees, 56 minutes, 50.80 secondes West<br> Antenna was an 80 meter dipole 50 feet high<br> Receiver was a QS1R</p>
I/Q Recording for 10 Meters During August 21, 2017 Solar Eclipse at W3OA
<p>I/Q Recording for 10 Meters Amateur Band During August 21, 2017 Solar Eclipse<br> Recorded by Richard Williams, W3OA<br> Location was 35 degrees, 34 minutes, 43.55 seconds North; 80 degrees, 56 minutes, 50.80 secondes West<br> Antenna was an 80 meter dipole 50 feet high<br> Receiver was a QS1R</p>
I/Q Recording for 20 Meters During August 21, 2017 Solar Eclipse at W3OA
<p>I/Q Recording for 20 Meters Amateur Band During August 21, 2017 Solar Eclipse<br> Recorded by Richard Williams, W3OA<br> Location was 35 degrees, 34 minutes, 43.55 seconds North; 80 degrees, 56 minutes, 50.80 secondes West<br> Antenna was an 80 meter dipole 50 feet high<br> Receiver was a QS1R</p>
I/Q Recording for 6 Meters During August 21, 2017 Solar Eclipse at W3OA
<p>I/Q Recording for 6 Meters Amateur Band During August 21, 2017 Solar Eclipse<br> Recorded by Richard Williams, W3OA<br> Location was 35 degrees, 34 minutes, 43.55 seconds North; 80 degrees, 56 minutes, 50.80 secondes West<br> Antenna was an 80 meter dipole 50 feet high<br> Receiver was a QS1R</p>
I/Q Recording for 40 Meters During August 21, 2017 Solar Eclipse at W3OA
<p>I/Q Recording for 40 Meters Amateur Band During August 21, 2017 Solar Eclipse<br> Recorded by Richard Williams, W3OA<br> Location was 35 degrees, 34 minutes, 43.55 seconds North; 80 degrees, 56 minutes, 50.80 secondes West<br> Antenna was an 80 meter dipole 50 feet high<br> Receiver was a QS1R</p>
Wideband I/Q Recording at VU2PTT for 160m Ham Radio Band during August 21, 2017 Solar Eclipse in USA
<p>Recorded by Prasad Rajagopal, VU2PTT in Bangalore, India</p> <p>Location: Latitude 12°58'24.8"N, Longitude 77°39'15.7"E</p> <p>Grid Locator: MK82tx</p> <p>Recorded using Skimmer Server & CWSL File</p> <p>Playback: Each time stamped I/Q file is a 15 minute slice and can be played back with HDSDR software</p> <p>Antenna was a full size 1/4 wave vertical on 40m (7 MHz)</p> <p>Receiver was a QS1R SDR capable of simultaneously recording 7 bands @ 192 kHz bandwidth </p>
Smartphone Partial Eclipse Combined
<p>Honorable mention in the 2023 IAU OAE Astrophotography Contest, category Still images with smartphones-mobile devices: Smartphone Partial Eclipse Combined, by Douglas Duncan.</p> <p>In 2021, Maine, USA, bore witness to a captivating partial solar eclipse, an astronomical spectacle where the Moon passes between the Earth and the Sun, partially blocking the Sun’s radiant light as viewed from Earth. This image used a smartphone and an app and filter called “Solar Snap”, invented by the photographer, to capture various stages of this celestial phenomenon. It is crucial to note that observing a solar eclipse should only be done with proper eye protection to avoid eye damage caused by direct Sunlight exposure. During a solar eclipse, the Moon reaches a point in its orbit where it is between the Earth and the Sun, resulting in partial or complete coverage of the Sun’s disc, depending on the specific relative positions. This composite image seamlessly combines six distinct moments, presenting the Moon's gradual journey across the Sun’s disc. Each crescent showcased represents a unique phase of this captivating event, offering a fleeting glimpse into the wonder of our natural world. Accessible tools like smartphones, coupled with appropriate apps and filters, enable individuals to safely document and cherish these remarkable celestial events.</p> <p>Credit: Douglas Duncan/IAU OAE (<a href="https://creativecommons.org/licenses/by/4.0/legalcode">CC BY 4.0</a>)</p>
Equatorial Sunrise Eclipse
<p>Third place winner in the 2023 IAU OAE Astrophotography Contest, category Still images of the day arc of the Sun and solargraphs: Equatorial Sunrise Eclipse, by Fabrizio Melandri.</p> <p>This breathtaking image shows a sunrise sequence of the annular eclipse of 2006, as it unfolds against the tranquil backdrop of Des Roches beach in Kourou, French Guiana. Positioned near a renowned spaceport, this location provides an impeccable viewpoint to behold the celestial event. This image was captured using an analogue camera, with a shot being taken every 10 minutes on the same film frame. The exposures were changed as the Sun rose. The Moon’s disc can be seen gradually moving across the Sun’s disc from the earliest (lower) image until it covers the Sun. It then slowly moves away, revealing the whole of the solar disc again. Kourou’s unique geographic location close to Earth’s equator ensures that the path of the rising Sun is nearly perpendicular to the horizon, magnifying the splendour of the eclipse.</p> <p>Credit: Fabrizio Melandri/IAU OAE (<a href="https://creativecommons.org/licenses/by/4.0/legalcode">CC BY 4.0</a>)</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)
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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.