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517 results for “October”
Рис. 4. Нора поΑземной поΛевки (компΛекс KS-11, октябрь 1984 г., «Αес на ВорскΛе»). А — горизонтаΛьная проекция; Б — боковая реконструкция Fig. 4. A common pine vole burrow (complex No. KS-11, October, 1984; "Forest on the Vorskla"). A — horizontal projection; Б — lateral projection in Spatial Organization Of Common Pine Vole (Microtus Subterraneus Selys-Longchamps, 1836) Colonies
Рис. 4. Нора поΑземной поΛевки (компΛекс KS-11, октябрь 1984 г., «Αес на ВорскΛе»). А — горизонтаΛьная проекция; Б — боковая реконструкция Fig. 4. A common pine vole burrow (complex No. KS-11, October, 1984; "Forest on the Vorskla"). A — horizontal projection; Б — lateral projection
Seismic and meteorological records from Trakarding-Trambau Glacier system, Nepal Himalaya (October 21 - November 9, 2017)
<p>The following geophysical field data (collected between October 21 and November 9, 2017) at Trakarding-Trambau Glacier system in Nepal Himalaya is provided in this dataset: </p> <p> </p> <p>(1) Hourly air-temperature measured at four sites (AWS, T1, T2 and T3). Units are degrees Celcius. Local time.</p> <p>[file name] Hourly_Air_temperature_AWS_T1_T2_T3_degC.csv</p> <p> </p> <p>(2) Hourly wind speed measured at the AWS site. Units are meters per second. Local time.</p> <p>[file name] Hourly_Wind_speed_AWS_MperS.csv</p> <p> </p> <p>The aforementioned stations had the following dGPS-derived coordinates:</p> <p>{Station, lat [deg], lon [deg], elevation [m] }</p> <p>AWS, 27.84356265, 86.4867231, 4805.582206</p> <p>T1, 27.84575824, 86.49189978, 4591.4429</p> <p>T2, 27.82976456, 86.51989785, 4768.8465</p> <p>T3, 27.855872, 86.531197, 5390.48</p> <p> </p> <p>(3) Raw seismic data (vertical component) recorded at five locations (DAM, C1, C2, C3, and C4) by four data-loggers (AKX, AKS, AKT, AKU) with a sampling frequency of 400 Hz. The file format (*.pri0) corresponds to a standard [.mseed]-format. Units are counts representing velocity. UTC time.</p> <p> </p> <p>The aforementioned stations had the following dGPS-derived coordinates:</p> <p>{StationName-Logger, lat [deg], lon [deg], elevation [m] }</p> <p> </p> <p>DAM-AKX, 27.870954, 86.463243, 4375.030762</p> <p>C1-AKS, 27.84546885, 86.49247316, 4594.0462</p> <p>C2-AKT, 27.82939476, 86.52001441, 4777.5211</p> <p>C3-AKU, 27.83593425, 86.53248327, 5288.3311</p> <p>C4-AKX, 27.87962877, 86.542076, 5555.2085</p>
TESS-OCTOBER-2018
<p>Measurements taken by the European Photometer Network (Project STARS4ALL). October 2018</p>
Festival of Frequency Measurement 1 October 2019
<p>Festival of Frequency Measurement 1 October 2019</p> <p>J. Kommers KN6CYU</p> <p>Latitude: 34.0556 / 34° 3' 20" N Longitude: -118.443 / 118° 26' 34" W</p> <p>Grid: <strong>DM04sb</strong></p> <p>Files starting 30 Sep 2019 at 18:42 PDT through 1 Oct 2019 at 4:18 PDT</p> <p>70 ft random wire antenna, SDR Play RSPduo tuned to 4.999 MHz with diversity reception - screenshots included for configuration details</p>
Festival of Frequency Measurement 1 October 2019
<p>Steve VK3ZAZ</p> <p>Hamilton Victoria Australia</p> <p>QF12ag 37:30 South 142:01 East</p> <p>Sunset October 1 700pm local 0900 UTC</p> <p>Yaesu FTDX5000MP with OCXO Delta Loop east west oriented</p> <p>WWV Centennial 08:00 apprx 5.000 MHZ</p>
WWV October 1st UTC 5 MHz Frequency Measurment from Prosser, WA
<p>station name: N7QNM</p> <p>grid square: DN06ce</p> <p>city and state: Prosser, WA 99350</p> <p>equipment: Elecraft K3</p> <p>Factory Calibration</p> <p>HyGain AV18HT (Omni Vertical)</p> <p>beacon frequency: 5MHz</p>
Text-fig. 2 Associate Professor RNDr. Václav Ziegler CSc. in Faculty of Education of Charles University at Prague during Trends in didactics of biology, conference on the 20th anniversary of the restoration activities of the Department of Biology and Environmental Studies at the Faculty of Education of Charles University in Prague 2. October 2014. (photo: author 2014) in Václav Ziegler Septagenarian
Text-fig. 2 Associate Professor RNDr. Václav Ziegler CSc. in Faculty of Education of Charles University at Prague during Trends in didactics of biology, conference on the 20th anniversary of the restoration activities of the Department of Biology and Environmental Studies at the Faculty of Education of Charles University in Prague 2. October 2014. (photo: author 2014)
Video: Creating LOD for Dutch public libraries - WikidataCon, Berlin, 25-26 October 2019
<p><span><strong>English: </strong></span> Directly inspired by a <a href="https://meta.wikimedia.org/w/index.php?title=GLAMTLV2018/Submissions/Don%27t_forget_the_libraries_-_increasing_the_coverage_in_Wikidata&oldid=18551326">lightning talk from GLAM-Wiki 2018</a> I started a project to improve the coverage and visibility of public libraries in the Netherlands on Wikidata.</p> <p>Although there are a number of websites listing all these plusminus 1300 library branches, I was quite surprised to find that none of them provide both structured and openly licensed, let alone linked data, while openness should be at the the core of every library's mission.</p> <p>I decided to solve this problem by adding address and geo data of every public library to Wikidata, hence for the very first time creating a (5-star) linked open data set for this type of library. See <a href="https://www.wikidata.org/wiki/Wikidata:WikiProject_Netherlands_Public_Libraries">https://www.wikidata.org/wiki/Wikidata:WikiProject_Netherlands_Public_Libraries</a></p> <p>This enables innovative uses, such as overviews and visualisations of the Dutch public library landscape on organisational, municipal, regional, provincial and national levels.</p> <p>This is of interest not only to Wikipedia and LOD enthousiasts, but also to e.g. policy makers, municipalities, scientists and journalists.</p> <p>In addition, to enable SPARQL generated library image galleries, I have started '1Lib1Photo' (inspired by 1Lib1Ref), an initiatieve to add an openly licensed image of every Dutch public library to Wikimedia Commons.</p> <p><strong>Takeaways</strong></p> <p>As a beginning Wikidatian myself, I hope to show that this type of project is suitable for beginners; adding address and geo infomation to Wikidata is a simple task that any one can do and a great way to learn SPARQL. Despite the simple nature of the inputs, the outputs (maps, image galleries, tables) are very relevant, not only for adding overviews of libraries to Wikipedia, but also for parties outside the Wiki sphere.</p> <p>As this project was directly inspired by work done in Wales by Simon Cobb (<a title="User:Sic19" href="https://commons.wikimedia.org/wiki/User:Sic19">User:Sic19</a>), I in my turn hope to inspire others to start similar projects in other countries.</p> <div> <h2><span></span>Context & presentation</h2> </div> <p><a href="https://www.wikidata.org/w/index.php?title=Wikidata:WikidataCon_2019/Program/Sessions/Libraries_panel&oldid=1039089450">https://www.wikidata.org/w/index.php?title=Wikidata:WikidataCon_2019/Program/Sessions/Libraries_panel&oldid=1039089450</a></p> <p>The recorded presentation was part of a <a title="d:Wikidata:WikidataCon 2019/Program/Sessions/Libraries panel" href="https://www.wikidata.org/wiki/Wikidata:WikidataCon_2019/Program/Sessions/Libraries_panel">panel about Wikidata in libraries</a></p> <p>This presentation (PDF) is also available on <a title="File:Creating LOD for Dutch public libraries - WikidataCon Berlin 25-26 October 2019 Olaf Janssen.pdf" href="https://commons.wikimedia.org/wiki/File:Creating_LOD_for_Dutch_public_libraries_-_WikidataCon_Berlin_25-26_October_2019_Olaf_Janssen.pdf">Wikimedia Commons</a> and on <a href="../records/12568513" rel="nofollow">Zenodo</a>.</p>
Authors and Theories - Comparative table (Update October 2024)
<p>This Excel file features a comparative chronological table/report including data on authors, theories, discoveries, inventions, major events, studies, and the preliminary results of my research work carried out through the outgoing phase of my MSCA Fellowship at Johns Hopkins University and Ca' Foscari University Venice (Horizon 2020 – MGA MSCA-IF – Grant agreement No. 101019781 – SOUNDEPTH).</p>
GPS-synchronized recordings of 5 MHz during October 2, 2024 eclipse from Tortel, Aysén, Chile
Open the record for dataset details and reuse information.
LPL11 - October 2024
<p>Measurements of LPL11 (Frontera Rural Park) in October 2024</p> <p>El Hierro</p><p> Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/LPL11">info</a></p>
LPL7 - October 2024
<p>Measurements of LPL7 (Archipielago Chinijo) in October 2024</p> <p>Archipielago Chinijo</p><p> Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/LPL7">info</a></p>
LPL2 - October 2024
<p>Measurements of LPL2 (Caldera de Taburiente NP) in October 2024</p> <p>La Palma</p><p> Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/LPL2">info</a></p>
LPL7 - October 2024
<p>Measurements of LPL7 (Archipielago Chinijo) in October 2024</p> <p>Archipielago Chinijo</p><p> Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/LPL7">info</a></p>
LPL2 - October 2024
<p>Measurements of LPL2 (Caldera de Taburiente NP) in October 2024</p> <p>La Palma</p><p> Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/LPL2">info</a></p>
LPL11 - October 2024
<p>Measurements of LPL11 (Frontera Rural Park) in October 2024</p> <p>El Hierro</p><p> Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/LPL11">info</a></p>
Seroprevalence of IgG antibodies against SARS coronavirus 2 in Belgium – a serial prospective cross-sectional nationwide study of residual samples (March – October 2020)
<p>This dataset contains information on seven prospective cross-sectional nationwide residual sera collection rounds. The samples were analyzed for IgG antibodies against S1 proteins of SARS-CoV-2 with a semi-quantitative commercial ELISA (EuroImmun, Luebeck, Germany).</p> <p>We provide a CSV file containing the following variables:</p> <ul> <li><strong>code</strong>: unique sample code</li> <li><strong>age_cat</strong>: age categories by 10-year age bands (0-10, 10-20, ..., 80-90, 90-Inf), the lower limit is included, e.g. 0-10 = [0,10)</li> <li><strong>sex</strong>: sex (f = female, m = male)</li> <li><strong>province</strong>: province of residence (11 categories)</li> <li><strong>region</strong>: region of residence (3 categories: Brussels, Flanders, Walloon)</li> <li><strong>collection_round</strong>: collection round (values 1 to 7)</li> <li><strong>collection_start</strong>: start date of the collection round</li> <li><strong>collection_end</strong>: end date of the collection round</li> <li><strong>igg_orig</strong>: measured IgG OD value as character (note, a semi-quantitative ELISA was used, i.e. this should not be interpreted continiously)</li> <li><strong>igg_cat</strong>: categorized IgG OD values <ul> <li><em>LoD</em>: IgG OD < 0.15</li> <li><em>negative</em>: 0.15 ≤ IgG OD < 0.8</li> <li><em>borderline</em>: 0.8 ≤ IgG OD < 1.1</li> <li><em>positive</em>: 1.1 ≤ IgG OD</li> </ul> </li> </ul> <p>Please see publication mentioned underneath for more details (<a href="https://doi.org/10.1101/2020.06.08.20125179">https://doi.org/10.1101/2020.06.08.20125179</a>).</p> <p><strong>Funding:</strong> This work received funding from the European Union's Horizon 2020 research and innovation program - project EpiPose (No 101003688), the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program (grant agreement 682540 TransMID), the Flemish Research Fund (FWO 1150017N) and from The Antwerp University Fund; which is a community of donors who contribute to research and education with their personal commitment through a donation, gift, bequest or through academic chairs. The funders had no role in study design, data collection, data analysis, data interpretation, writing or submitting of the report. The corresponding author had full access to all the data in the study and had final responsibility for the decision to submit for publication.</p>
Fig. 7. Zoopilus echinatus. A fragment with regenerated margins from Silk Rock, 10 m depth, 21 October 2008, Coll. L. Devantier. A in The mushroom coral fauna (Scleractinia: Fungiidae) of Brunei Darussalam (South China Sea) and its relation to the Coral Triangle
Fig. 7. Zoopilus echinatus. A fragment with regenerated margins from Silk Rock, 10 m depth, 21 October 2008, Coll. L. Devantier. A, upper surface; B, lower surface. Scale bar = 0.5 cm.
FIG. 6. — Octoberaspis ushakovi n. gen., n in Arthropods from the Lower Devonian Severnaya Zemlya Formation of October Revolution Island (Russia)
FIG. 6. — Octoberaspis ushakovi n. gen., n. sp.; A, No. 35/324, 34 × 13 mm; B, Nos. 35/336 (holotype) (above), 24 × 14 mm, and 35/337 (below), 18 × 12 mm; C, No. 35/711, 33 × 9 mm; D, No. 35/712, total length 30 mm.
FIG. 13. — Elymocaris urvantsevi n in Arthropods from the Lower Devonian Severnaya Zemlya Formation of October Revolution Island (Russia)
FIG. 13. — Elymocaris urvantsevi n. sp.; A, No. 35/375, maximum length 23 mm; B, 35/782, maximum length 33 mm; C, 35/781, maximum preserved length 30 mm; D, No. 35/378, maximum preserved length 31 mm; E, No. 35/779, maximum preserved carapace length 25 mm, maximum carapace width 14 mm.
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.