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517 results for “October”
Звезда октябрёнка. October's star.
A star with Lenin on it. Source: Objaverse 1.0 / Sketchfab
3 Mycena in october
<u>Source</u>: Flickr <br><u>4DCity URL</u>: <a href="https://4dcity.org/imgupload/1677514628.1538.jpg">https://4dcity.org/imgupload/1677514628.1538.jpg</a> <br><u>Original Image URL</u>: <a href="https://live.staticflickr.com/4467/24009334198_f52d03fc44_m.jpg">https://live.staticflickr.com/4467/24009334198_f52d03fc44_m.jpg</a>
Main areas of research and scientific production regionalized by Policosanol biorefining route: from the 1990s to the 2024 (October 1, 2024).
<p>The Table 1 presents the results of surveys, in 18 Ibero-American countries and in the world, carried out in the Science Citation Index Expanded (SCI-E) or Web of Science - Core Collection - Clarivate Analytics – (WoS) and Scopus (Elsevier): AR - Argentina, BR - Brazil, CL - Chile, CO - Colombia, CR - Cota Rica, CU - Cuba, DO - Dominican Republic, EC - Ecuador, ES - Spain, GT - Guatemala, HN - Honduras, MX - Mexico, NI - Nicaragua, PA - Panama, PE - Peru, PT - Portugal, SV - El Salvador, UY - Uruguay. </p> <p>Merging the Scopus and Web of Science bases, the scientometric methodology of K-Synth (Bibliometrix) is applied here, according to which the scientific production of each country is measured by the number of appearances of authors by country affiliations. Thus, if in an article there are, for example, three authors working, respectively, in Brazil, Spain and the USA, the appearance counter will be increased by 1 for each of them. Due to the identification of some gaps, the electronically merged data were reconciled with the original databases.</p> <p>As for the Main Subject Areas, the classification adopted is that of Scopus Elsevier, as well as the compiled data, as it is the most quantitatively complete basis for this research. </p> <p>Data is updated until October 1, 2024.</p>
GPS-synchronized recordings of 10 MHz during October 2, 2024 eclipse from Walker Creek, Falkland Islands
Open the record for dataset details and reuse information.
Precision-Recall for priority values in Klinik dataset October 2018
<p>Precision-Recall for priority values in Klinik dataset October 2018</p>
FIGURES 1–4 in In memory of Dr. Norman O. Dronen, Jr. (9 October 1945-9 December 2022): Associate Editor for Parasitic Platyhelminthes (Zootaxa)
FIGURES 1–4. In memoriam to Dr. Norm O. Dronen, Jr. 1. Norm or "Butch" with one of the many prize bucks he got in life. 2. Norm and his wife, Nancy, together on a leisurely ship cruise. 3. Norm awarded his high school diploma from Irene S. Reed High School in Washington (approx. 1964). 4. Norm and Nancy's three children; left to right: Phil Dronen (oldest), Roberta Sheffield (youngest), and Doug Dronen (middle) (approx. mid-1990s).
Concentric Primary Gravity Waves in the Ionosphere Over the Continental United States on 7 October 2016 from Hurricane Matthew
<p>the reconstructed 3D ionospheric electron density disturbance</p>
Dingle Gates, October Morning
These stone gates were built by the soldiers and sailors who called Halifax home in WWII, as a thank-you to the city of Halifax for their wartime hospitality. They mark the entrance to Sir Sandford Fleming Park. The 93 acre urban nature park was itself a gift from Sir Fleming to the city. In return a Memorial Tower was built inside the park for the man who built Canada's cross-country railway and who brought the world standard time. Created with Polycam photo-mode, 241 images. Video tutorial of shooting process available on YouTube under same title. Source: Objaverse 1.0 / Sketchfab
Chesapeake Bay measurements during October 2009
Measurements made in the Chesapeake Bay in October 2009.
DEM of the Bossons glacier (4 October 2023)
<p>DEM of the Bossons glacier in the vicinity of the lake measured the 4th October 2023 by Latitude Drone (Arnaud STEPHAN)</p><p>Format:<br>x, y (meters Lambert 2 or Lambert 93) and z ((meters NGF IGN 69) for the glacier DEM (mnt_bossons)<br>orthophoto in Lambert 2 and NGF IGN 69</p>
Net Photosynthesis (MOD17A2H) in kg C/m² for Selenga river basin (the Buryat Republic and Mongolia), monthly (May-October), phenology season (May-October) annual max, sum 500-m composites from 2000 to 2020
<p>Net Photosynthesis (MOD17A2H) in kg C/m² for Selenga river basin (the Buryat Republic and Mongolia), monthly (May-October), phenology season (May-October) annual max, sum 500-m composites from 2000 to 2020. The product is based on aggregates from MOD17A2H.</p> <p>The MOD17A2H Version 6 Gross Primary Productivity (GPP) product is a cumulative 8-day composite of values with 500 meter (m) pixel size based on the radiation use efficiency concept that can be potentially used as inputs to data models to calculate terrestrial energy, carbon, water cycle processes, and biogeochemistry of vegetation. The data product includes information about GPP and Net Photosynthesis (PSN). The PSN band values are the GPP less the Maintenance Respiration (MR). https://lpdaac.usgs.gov/products/mod17a2hv006/ . For more details, please contact Alexander Prishchepov alpr@ign.ku.dk, prialign@gmail.com.</p>
AIS data prepared by Statsat AS for October 2020
<p>AIS data prepared and provided by Statsat AS (Norway) in the framework of the T-SAR project (<em>IKTPLUSS programme on reducing digital vulnerabilities, </em><strong>10 MNOK from the Research Council of Norway, Norway</strong>).</p> <p>The dataset contains AIS data (satellite + other) on a global coverage for 2020. There is one zip file and its name is the month (01 for January to 12 for December) ending with '.zip' and the zip file contains zipped Comma Separated Values (CSV) files; one per day.</p> <p> </p> <p>The CSV zipped files are named with the following convention: ais_YYYYMMDD.zip where YYYY is the year (here 2020), MM the month (01 to 12) and DD the day (01 to 31 depending on the month). For instance, ais_20200101.zip contains one single CSV file called ais_20200101.csv that corresponds to the 1st January 2020.</p> <p>The csv files have one header line:</p> <p>mmsi;lon;lat;date_time_utc;sog;cog;true_heading;nav_status;rot;message_nr;source</p> <p>where:</p> <table> <tbody> <tr> <td> <p><strong>mmii</strong></p> </td> <td> <p>integer</p> </td> <td> <p>MMSI number of the vessel (AIS identifier). All records belonging to the same vessel will have the same identifier.</p> </td> </tr> <tr> <td> <p><strong>lon</strong></p> </td> <td> <p>float</p> </td> <td> <p>Geographical longitude (WGS84) between -180 to 180</p> </td> </tr> <tr> <td> <p><strong>lat</strong></p> </td> <td> <p>float</p> </td> <td> <p>Geographical latitude (WGS84) between -90 to 90</p> </td> </tr> <tr> <td> <p><strong>date_time_utc</strong></p> </td> <td> <p>datetime</p> </td> <td> <p>Date and Time (in UTC) when position was recorded by AIS. It is represented as: YYYY-MM-DD HH:MM:SS (for instance 2020-01-01 00:00:00).</p> </td> </tr> <tr> <td> <p><strong>sog</strong></p> </td> <td> <p>float</p> </td> <td> <p>Speed over ground (knots)</p> </td> </tr> <tr> <td> <p><strong>cog</strong></p> </td> <td> <p>float</p> </td> <td> <p>Course over ground (degrees)</p> </td> </tr> <tr> <td> <p><strong>true_heading</strong></p> </td> <td> <p>integer</p> </td> <td> <p>Heading (degrees) of the vessel's hull. A value of 511 indicates there is no heading data.</p> </td> </tr> <tr> <td> <p><strong>nav_status</strong></p> </td> <td> <p>integer</p> </td> <td> <p>Navigation status according to <a href="https://api.vtexplorer.com/docs/ref-navstat.html"><strong>AIS Specification</strong></a></p> </td> </tr> <tr> <td> <p><strong>rot</strong></p> </td> <td> <p>integer</p> </td> <td> <p>rate of turn</p> </td> </tr> <tr> <td> <p><strong>message_nr</strong></p> </td> <td> <p>integer</p> </td> <td> <p>message number</p> </td> </tr> <tr> <td> <p><strong>source</strong></p> </td> <td> <p>integer</p> </td> <td> <p>source is the source of AIS data ('g' for ground or 's' for satellite).</p> </td> </tr> </tbody> </table> <p>One row in the CSV file corresponds to one message.</p>
Tumor cohorts for Vaske et al. publication (October 2019)
"Comparative Tumor RNA Sequencing Analysis for Difficult-to-Treat Pediatric and Young Adult Patients With Cancer", published in JAMA Network Open October 25, 2019, presents a framework for comparative RNA-Seq analysis of pediatric tumors across multiple precision medicine studies. Links to the resources used in the publication, including a Background Cohort of 11,340 samples and a Participants Cohort of 144 samples, both with rich clinical fields, are available on the Resources for Vaske et al. (2019) data hub.
Rigon et al Rugby RCT October 27 2024
Open the record for dataset details and reuse information.
Data-set of CO2, CH4, N2O dissolved concentrations and ancillary data in Lake Victoria (March 2018, October 2018, and June 2019)
<p>The data-base contains 4 xlsx files:</p> <ul> <li>CTD_Lavigas_123 contains vertical profiles of CTD data (water temperature, specific conductivity, pH, oxygen saturation level (%O2)), partial pressure of CO2 measured with headspace equilibration with a Licor, CH4 and N2O measured with headspace equilibration by gas chromatography on samples collected with a Niskin bottle, obtained in March-April 2018, October-November 2018, and June 2019.</li> <li>UW_Lavigas_1 contains the continuous measurements in surface waters of partial pressure of CO2 and CH4 measured by equilibration with a Los Gatos Research portable analyzer, plus CTD data and bottom depth, obtained in March-April 2018.</li> <li>UW_Lavigas_2 contains the continuous measurements in surface waters of partial pressure of CO2 and CH4 measured by equilibration with a Los Gatos Research portable analyzer, plus CTD data and bottom depth, obtained in October-November 2018.</li> <li>UW_Lavigas_3 contains the continuous measurements in surface waters of partial pressure of CO2 and CH4 measured by equilibration with a Los Gatos Research portable analyzer, plus CTD data and bottom depth, obtained in June 2019.</li> </ul> <p>For vertical profiles (CTD_Lavigas_123) water was collected with a Niskin bottle and two 60 mL borosilicate serum bottles (Wheaton) for the determination of CH4 and N2O were filled with a silicone tubing, allowed to overflow, poisoned with a saturated solution of HgCl2 (100 µL), sealed with butyl stoppers, crimped with aluminum caps, and stored at ambient temperature in the dark. Samples for the determination of pCO2 were collected from the Niskin bottle in 4 polypropylene 60 mL syringes where 30 mL of sample water were equilibrated with 30 mL of ambient air (5 min of vigorous manual shaking). The pCO2 in ambient air and in the equilibrated gas phase were determined with a Li-840 calibrated with N2 and a suite of CO2:N2 commercial mixtures (Air Liquide Belgium) with mixing ratios of 388, 813, 3788, and 8300 ppm CO2. The overall precision of pCO2 measurements was ±2.0%. Concentrations of CH4 and N2O were determined via the headspace equilibration technique (20 mL N2 headspace in 60 mL serum bottles) and measured by GC with flame ionization detection (GC-FID) and electron capture detection (GC-ECD) with a SRI 8610C GC-FID-ECD calibrated with CH4:CO2:N2O:N2 mixtures (Air Liquide Belgium) of 1, 10, 30, 509 and 2011 ppm CH4 and of 0.2, 2.0 and 6.0 ppm N2O, and using the solubility coefficients of CH4 (Yamamoto et al. 1976) and N2O (Weiss & Price 1980). The precision of measurements was ±3.9% for CH4 and ±3.2% for N2O.</p> <p>In surface waters, pCO2 and the partial pressure of CH4 (pCH4) were measured with a Los Gatos Research (LGR) off-axis integrated cavity output spectroscopy analyzer (Ultraportable Greenhouse Gas Analyzer with extended range for CH4) coupled to an equilibrator (Frankignoulle et al. 2001). The reading of pCO2 and pCH4 from the LGR was compared in the home laboratory to the values from CH4:CO2:N2 mixtures (Air Liquide Belgium) of 1, 10, 30, 509 and 2011 ppm CH4 and 431, 1088, 4,385 and 22,029 ppm CO2. The instrument did not show detectable drift between the start and the end of the fieldwork, and the factory calibration gave satisfactory readings against standards.</p> <p>Both approaches to measure pCO2 and CH4 show excellent agreement (Borges et al. 2022). Water temperature, conductivity, pH, and dissolved O2 were measured with Yellow Spring Instrument (YSI) multiprobe (YSI EXO-2). Depth was measured with a Humminbird Helix 5 G2.</p> <p><strong>References</strong></p> <p>Borges AV, L Deirmendjian, S Bouillon, W Okello, T Lambert, FAE Roland, VF Razanamahandry, NRG Voarintsoa, F Darchambeau, IA Kimirei, J-P Descy, GH Allen, C Morana (2022) Greenhouse gas emissions from African lakes are no longer a blind spot, Science Advances, 8, eabi8716, 1-17</p> <p>Frankignoulle M., A. Borges & R. Biondo (2001) A new design of equilibrator to monitor carbon dioxide in highly dynamic and turbid environments. Water Research 35/5: 1344-1347</p> <p>Yamamoto S., J.B. Alcauskas, T.E. Crozier, Solubility of methane in distilled water and seawater. J. Chem. Eng. Data 21, 78-80 (1976).</p> <p>Weiss R.F., B.A. Price, Nitrous oxide solubility in water and seawater. Mar. Chem. 8, 347-359 (1980).</p>
Data contained in "22-Kyr-Long Record Of Surface Faulting Along The Source Of The 30 October 2016 Earthquake (Central Apennines, Italy), From Integrated Paleoseismic Datasets" - Journal of Geophysical Research - Solid Earth - DOI: 10.1029/2019JB017757
<p>Data contained in “22-Kyr-Long Record Of Surface Faulting Along The Source Of The 30 October 2016 Earthquake (Central Apennines, Italy), From Integrated Paleoseismic Datasets” - Journal of Geophysical Research - Solid Earth - DOI: 10.1029/2019JB017757 by Cinti F.R.*, De Martini P.M.*, Pantosti D.*, Baize S.°, Smedile A.*, Villani F.*, Civico R.*, Pucci S.*, Lombardi A.M.*, Sapia V.*, Pizzimenti L.*, Caciagli M.*, Brunori C.A.*<br> * Istituto Nazionale di Geofisica e Vulcanologia, Italy<br> ° Institut de Radioprotection et de Sûreté Nucléaire, France</p>
DEM of the Bossons glacier (14 October 2021)
<p>DEM of the Bossons glacier in the vicinity of the lake measured the 14 October 2021. </p> <p>Format:<br> x, y (meters Lambert 2) and z ((meters NGF IGN 69) for the glacier DEM (mnt_bossons)<br> </p>
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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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.