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255 results for “February”
Figure 7a from: Kramer B, Bosman J, Ignac M, Kral C, Kalleinen T, Koskinen P, Bruno I, Buckland A, Callaghan S, Champieux R, Chapman C, Hagstrom S, Martone M, Murphy F, O'Donnell D (2016) Defining the Scholarly Commons - Reimagining Research Communication. Report of Force11 SCWG Workshop, Madrid, Spain, February 25-27, 2016. Research Ideas and Outcomes 2: e9340. https://doi.org/10.3897/rio.2.e9340
Figure 7a - Example of Trello card with tags. "using the public domain" - the idea name; #G2 - the idea came from the Group 2; #viz - the idea is ready to be included in the visualization; #triple - the idea has a link to another idea in the group's vision.
LPL7 - February 2023
<p>Measurements of LPL7 (Archipielago Chinijo) in February 2023</p> <p>Archipielago Chinijo</p><p> Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/LPL7">info</a></p>
The 6 February 2023 M7.8 & M7.6 earthquake ruptures mapped with InSAR
<p><strong>Data Supporting Text</strong></p> <p>We used C-band SAR (Sentinel-1) data in order to extract information about the ground displacements that occurred due to the M<sub>w</sub>=7.8 earthquake and M<sub>w</sub>=7.6 earthquake in southeast Turkey (Türkiye). We retrieved the satellite data from the Alaska Satellite facility and from the Copernicus Hub of ESA. We used differential SAR (DInSAR) and the sub-pixel correlation methods to retrieve the surface motions in LOS direction and in azimuth (along satellite track) direction. We processed the SAR images using the (ISCE) v2 software and we applied pixel offset tracking through the cross correlation of the amplitude of the primary (before the earthquake) and the secondary (after the earthquake) SLC images. The pixel offset method gave us the capability to map the surface rupture extent of the strike-slip fault segments along the East Anatolian Fault Zone (EAFZ) and the Sürgü fault (SF). Also, we identified the splay fault known as Nurdağı-Pazarcık fault (NPF; Melgar et al. 2023) where the rupture process began and a second splay fault in the area of Adiyaman near the main trace of EAFZ. We mapped the total rupture length of the EAFZ which is ~ 400 km. We suggest that the maximum displacement was ~ 7 m in line of sight (LOS) direction (central area of EAFZ and SF). Also, the maximum displacement of the NPF was found ~ 1 m. It is necessary to clarify that the total displacement field occurred by the combined motion of the two mainshocks, as well as, possibly by some large-magnitude aftershocks.</p> <p><strong>Acknowledgments </strong></p> <p>This research was supported by the Hellenic Foundation for Research and Innovation (HFRI) under the 3rd Call for HFRI PhD Fellowships (Fellowship Number: 05176).</p> <p><strong>References</strong></p> <p>Melgar, D., Taymaz, T., Ganas, A., Crowell, B., Öcalan, T., Kahraman, M., Tsironi, V., Yolsal-Çevikbilen, S., Valkaniotis, S., Irmak, T. S., Eken, T., Erman, C., Özkan, B., Dogan, A. H., & Altuntaş, C. 2023. Sub- and super-shear ruptures during the 2023 Mw 7.8 and Mw 7.6 earthquake doublet in SE Türkiye. Seismica, 2(3). <a href="https://doi.org/10.26443/seismica.v2i3.387">https://doi.org/10.26443/seismica.v2i3.387</a></p>
Population data for Grevillea buxifolia subsp. ecorniculata targeted surveys February 2023
<p>Population data collected in targeted field survey as part of Flora Connections project</p>
Press, Temperature and Humidity February 2013
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Press, Temperature and Humidity February 2013
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Wind February 2013
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Wind February 2013
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Data from: "Development of the draft genome sequence of the marbled flounder Pseudopleuronectes yokohamae as a reference of population genomic analysis" in Genomic Resources Notes accepted 1 February 2015 – 31 March 2015
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Data from: "Transcriptome resources for two highly divergent Silene latifolia populations" in Genomic Resources Notes accepted 1 February 2015 – 31 March 2015
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Data from: "A reduced representation libraries approach for nuclear marker development via 454 sequencing applied on Tetramorium (Hymenoptera: Formicidae)" in Genomic Resources Notes Accepted 1 February 2015 to 31 March 2015
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Data from: "Transcriptome resources for the marmot flea and plague vector, Oropsylla silantiewi" in Genomic Resources Notes accepted 1 February 2014 to 31 March 2014
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First Generation Tools for the Modeling of Capicua-Family Fusion Oncoprotein-Driven Cancers (February 2025 Dataset)
GEO Series GSE295625. Homo sapiens. 6 samples. Type: Expression profiling by high throughput sequencing.
Jira Monitoring Data February 2017
<p>This is the first of four datasets that our research "Comparing Static and Dynamic Weighted Software Coupling Metrics" published in https://doi.org/10.1007/978-3-030-30275-7_22 is based on. This dataset contains the monitoring data from our installation of Atlassian Jira, from February 2017.</p>
Jira Monitoring Data February 2018
<pre>This is the third of four datasets that our research "Comparing Static and Dynamic Weighted Software Coupling Metrics" published in <a href="https://doi.org/10.1007/978-3-030-30275-7_22">https://doi.org/10.1007/978-3-030-30275-7_22</a> is based on. This dataset contains the monitoring data from our installation of Atlassian Jira, from February 2018.</pre>
Quinene Burn Site (RGB) - February 14 2024
<p>This orthomosaic of Quinene (Malesso) was created from 1230 images taken on February 19 2024, at 400 ft AGL, with a M350. The mission was planned using the DJI Pilot application and post-processed using DroneDeploy. </p> <p>This project was made possible through funding by the following grant(s): NASA Guam EPSCoR (80NSSC22M0052), NASA Guam Space Grant (80NSSC20M0039 / UH Subaward: MA1550), and PI-CASC (G19AC00087)."</p>
Atantano (RGB) - February 14 2024
<p>This orthomosaic of Atantano was created from 1948 images taken on February 14 2024, at 400 ft AGL, with a M350. The mission was planned using the DJI Pilot application and post-processed using DroneDeploy. </p> <p>This project was made possible through funding by the following grant(s): NASA Guam EPSCoR (80NSSC22M0052), NASA Guam Space Grant (80NSSC20M0039 / UH Subaward: MA1550), and PI-CASC (G19AC00087)."</p>
Comprehensive Collection of English, German, Russian and Ukrainian Tweets Containing the Word or Hashtag Ukraine During the Russian Invasion, February 2022 until May 2023
<p>Comprehensive dataset of Tweets containing the keyword 'ukraine' (in German, Russian and Ukrainian) as well as '#ukraine' (in English) since the Russian Ukraine Invasion in February 2022. The user handle column has been excluded to protect deleted accounts that have not been retweeted or replied to. Tweets have been collected via the Academic API using the Search endpoint in four languages:</p> <table> <tbody> <tr> <td><strong>Language</strong></td> <td><strong>Query</strong></td> <td><strong> Name in Dataset (column: event) </strong></td> <td><strong>Number of Tweets<br></strong></td> </tr> <tr> <td>English</td> <td>#ukraine AND lang='en' </td> <td>ukraine-en-hashtag</td> <td>45.8 million</td> </tr> <tr> <td>German</td> <td>ukraine AND lang='de' </td> <td>ukraine</td> <td>19.6 million</td> </tr> <tr> <td>Russian</td> <td>Украина AND lang:ru </td> <td>ukraine-ru</td> <td>5.02 million</td> </tr> <tr> <td>Ukrainian</td> <td>Україна AND lang:uk </td> <td>ukraine-uk</td> <td>4.1 million</td> </tr> </tbody> </table> <p><strong>Collection dates</strong></p> <p>Details on collection dates per Tweet (e.g. to compare with creation dates) as well as the IDs of Tweets for consistency checks can be found here: <a href="https://github.com/Leibniz-HBI/ukraine_twitter_data">https://github.com/Leibniz-HBI/ukraine_twitter_data</a> (<a href="https://doi.org/10.17605/OSF.IO/RTQXN">https://doi.org/10.17605/OSF.IO/RTQXN</a>)</p> <p><strong>File Naming Scheme</strong></p> <p>To enable downloads of selected timeframes and languages, the files are named by language, start and end date of the tweet creation timestamp.</p> <p><strong>Columns</strong></p> <p>The following columns are available:</p> <ul> <li>event: tag for query and language used for the query</li> <li>id: Tweet ID</li> <li>inserted_at: collection date</li> <li>last_updated_at: last update date (relevant for metrics such as follower count)</li> <li>text: Tweet text</li> <li>lang: language as determined by Twitter</li> <li>created_at: creation date of the Tweet</li> <li>conversation_id: Tweets with the same ID are part of the same reply tree to a tweet (provided by Twitter)</li> <li>author_follower_count: follower count of the Tweet's author account at the creation or last update time of the tweet</li> <li>replied_to: account the Tweet replies to</li> <li>replied_to_follower_count: follower count of the Tweet's replied to account at the creation or last update time of the tweet</li> <li>quoted: if quote tweet, ID of quoted tweet</li> <li>quoted_follower_count: analog to replied_to_follower_count</li> <li>retweeted: analog to quoted</li> <li>retweeted_follower_count: analog to replied_to_follower_count</li> <li>hashtags: hashtags of the Tweet</li> <li>urls: URLs in the tweet, shortened/unshortened, including links to media</li> <li>place_id: alphanumeric place ID provided by the Twitter API, mostly empty</li> </ul>
Breathing Games - Health Game Jam @ Concordia University - February 2017
<p>Synthesis of the game jam. Video realized by CUTV.</p>
Figure 2 from: Hornung E (2015) In commemoration of Prof. M.R. Warburg and of his contribution to terrestrial Isopod biology (31 May 1931, Berlin–9 February 2014, Haifa). In: Taiti S, Hornung E, Štrus J, Bouchon D (Eds) Trends in Terrestrial Isopod Biology. ZooKeys 515: 1–11. https://doi.org/10.3897/zookeys.515.9909
Figure 2 - Distribution of published papers by animal groups.
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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.