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564 results for “June”
Bathymetry of Bossons Lake of 28 June 2022
<p>Bathymetry of the Bossons lake done the 28 June 2022. </p>
Supplementary database January - June 2023
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Physical oceanography, biotic and abiotic carbon data in the deep sea on the northern slope of the South China Sea in June 2015
<p>The datasets are used for the study of the effects of mesoscale eddies on biological carbon pumps in deep sea water in the northern South China Sea. Thus the physical oceanography, biotic and abiotic carbon data are included in the datasets.</p>
GCsp chains with polychord (until June 2024)
<p>Attention: it hits the prior, and they are poorly sampled. Projectione effects are 'under control'</p>
3x2pt chains with polychord (until June 2024)
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Human-LLM experiment for the paper: "Towards Generative AI-driven Metadata Modelling: A Human-LLM Collaborative Approach". Generated by Mayukh Bagchi on 1st June, 2024.
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Main areas of research and scientific production regionalized by Policosanol biorefining route: from the 1990s to the 2024 (June).
<p><span>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): </span><span>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. </span></p> <p> </p> <p><span>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.</span></p> <p><span> </span></p> <p><span>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. </span></p> <p><span> </span></p> <p><span>Data is updated until June 2024.</span></p>
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>
Ague Cove - TIR (June 2023)
<p>This video of Ague Cove was taken on June 28 2023, at 400 ft AGL, with a FLIR payload mounted to a DJI Matrice 300 UAV. The mission was planned using the DJI Pilot application. </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>
IMAGES OF COMET 9P/TEMPEL 1 FROM FEBRUARY TO JUNE 2005 V1.0
The data set consists of raw and reduced ground-based images of comet 9P/Tempel 1 in the broadband R and narrowband HB filters taken at the Kitt Peak 2.1m telescope from February to June 2005 prior to the Deep Impact encounter.
Cell Line Compendium PolyA v21.06 (June 2021)
This compendium was released in June 2021. It includes samples from Treehouse clinical sites (identifiers start with "TH"), publicly available repositories, and the Cancer Cell Line Encyclopedia. These data were generated by library preparation methods including polyA selection.
Audio neuro modulation data 14 June 2019
<p>These are the raw files from audio neuro modulation data of 14th June 2019. Please look at the logs for details.</p>
EEG sleep and BCI K01 from May 2019 to June 2020
<p>Data</p>
Foto of the cluster 27 june 2007
<p>A photo of our old cluster.</p>
Raw Data 7th June 2019
<p>The description is in the KIAP_BCI_log</p>
Raw Data 6 June 2019
<p>Please look at the KIAP log file for the details.</p>
Rawa Data 21st June 2019
<p>This is the raw data from 21st June 2019. Please see log file for the details.</p>
Raw Data of 20th June 2019
<p>Raw Data of 20th June 2019. Please look at log file for the details.</p>
Raw Data 19th June 2019
<p>Raw Data 19th June 2019. Please see log</p>
5th AFNMR of 25th June
<p>5th AFNMR of 25th June</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.