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10,016 results for “Observation”
SolSysELTs2022 Part II: Jupiter and Saturn observations in the visible and IR with ETLs
<p>Invited talk: presentation and video recording</p>
SolSysELTs2022 Part II: Short discussion on asteroid observations
<p>Discussion: video recording</p>
SolSysELTs2022 Part II: Space- and ground-based observations of Venus in the era of ELT
<p>Invited talk: presentation and video recording</p>
SolSysELTs2022 Part II: Main belt asteroid observations with the ELTs
<p>Invited talk: presentation and video recording</p>
SolSysELTs2022 Part II: Observing the Outer Planets' systems with METIS
<p>Contributed talk: presentation and video recording</p>
SolSysELTs2022 Part II: Mid-infrared spectroscopic observation of distant and faint comets with ELT/METIS
<p>Contributed talk: presentation and video recording</p>
SolSysELTs2022 Part II: Observations of active asteroids in the era of ELTs
<p>Invited talk: presentation and video recording</p>
SolSysELTs2022 Part II: Observing asteroids and trans-Neptunian objects with MICADO/MAORY
<p>Contributed talk: presentation and video recording</p>
Data for Martian Gravity Waves Observed by the Thermal Emission Imaging System (THEMIS) during Northern Summer
<p>README Data for <br> "Martian Gravity Waves Observed by the Thermal Emission Imaging System (THEMIS) during Northern Summer"<br> J. Michael Battalio et al.,<br> November 2022<br> (https://battalio.com)<br> michael[at]battalio[dot]com</p> <p>In this dataset are:<br> GW_readme.txt (this file)</p> <p>numpy compressed files<br> GWDaytime.npz<br> GWNighttime.npz<br> GWSpectrumMY##.npz, where "##" run the eight Mars years from 26 to 33, inclusive.<br> GWSpectrumNightMY##.npz, where "##" run the eight Mars years from 26 to 33, inclusive.</p> <p>Python notebook file:<br> THEMIS_GW_LOAD.ipynb (minimal notebook to read *.npz files)</p> <p>--The following arrays are in GWDaytime.npz:<br> gwArr, gwPeaks, gwArrMax, gwPeaksMax, gwNames, <br> gwArrSym, gwPeaksSym, gwArrSymMax, gwPeaksSymMax, gwNamesSym</p> <p>--The following arrays are in GWNighttime.npz:<br> gwArrNight, gwArrNightSym, gwPeaksNight, gwPeaksNightSym, gwArrNightMax, gwArrNightSymMax, gwPeaksNightMax, gwPeaksNightSymMax, gwNamesNight, gwNamesNightSym</p> <p>The arrays have the following format: Each row in gwArr, gwPeaks, gwArrMax, gwPeaksMax corresponds to a THEMIS swath or sub swath for the name given at the same column index as the gwNames vector. Similarly for gwArrSym, gwPeaksSym, gwArrSymMax, gwPeaksSymMax to gwNamesSym and for the GWNighttime file.</p> <p>gwArr, gwArrMax, gwArrNight, gwArrNightMax, gwArrSym, gwArrSymMax, gwArrNightSym, gwPeaksNightSym array columns are:<br> Swath centroid Longitude, swath centroid Latitude, Spectrum maximum, baseline orientation bin of maximum, baseline length bin of maximum, empty, areocentric longitude, local time, mean of whole spectrum, standard deviation of whole spectrum, Mars year, median of whole spectrum</p> <p>gwPeaks, gwPeaksMax, gwPeaksSym, gwPeaksSymMax, gwPeaksNightMax, gwPeaksNightSymMax, gwPeaksNight, gwPeaksNightSym array dimensions are: Dim1 corresponds to each THEMIS swath given by gwNames, gwNamesSym, gwNamesNight, or gwNamesNightSym. Dim2 corresponds to each of the top-10 peaks in the spectrum (Note: Peak one is identical to the peak given in column 3 of the "Arr" variables.). Dim 3 provides the baseline orientation bin of the corresponding peak, baseline length bin of the corresponding peak, the value of the peak.</p> <p><br> --The following arrays are in each GGWSpectrumMY##.npz:<br> gwNamesMY##,gwNamesSymMY##,spectrumArrMY##,spectrumArrMaxMY##,spectrumArrSymMY##,spectrumArrSymMaxMY##</p> <p>spectrumArrMY##,spectrumArrMaxMY##,spectrumArrSymMY##,spectrumArrSymMaxMY## array dimensions are: Dim1 corresponds to each THEMIS swath given by gwNamesMY##, gwNamesSymMY##. Dim2 corresponds to the baseline orientation from 90° east to 90° west of a due north-south orientation. Dim 3 provides the baseline length from 0 to 500 km for full swaths or 0 to 60 km for symmetric swaths.</p> <p>--Similarly, the following arrays are each GGWSpectrumNightMY##.npz:<br> gwNamesNightMY##,gwNamesNightSymMY##,spectrumArrNightMY##,spectrumArrNightMaxMY##,spectrumArrNightSymMY##,spectrumArrNightSymMaxMY## The variable dimensions follow the same convention as the daytime files.</p>
Observation, simulation and sensitivity test data of peroxy radical in October 2018
<p>Observation, simulation and sensitivity test data of peroxy radical in October 2018</p>
Global simulations of multi-frequency HF signal absorption for direct observation of middle atmosphere temperature and composition
<p>The model used in the publication for Global simulations of multi-frequency HF signal absorption for direct observation of middle atmosphere temperature and composition</p> <p> </p> <p>This paper presents the first numerical study on a new concept for the direct measurement of D-region absorption in the HF band. Numerical simulations based on the Appleton–Hartree and Garrett equations of refractive index are presented. Electron temperature as a result of HF radio pumping of the ionosphere is included in the calculations using proper numerical formulation. Both O- and X-mode radio wave polarizations are taken into consideration. A global map of HF absorption in the northern hemisphere is calculated. Detailed calculations of HF radio wave absorption as it propagates through the lower atmosphere are presented. The effect of several parameters on the amount of absorption is calculated. The best frequencies to be used for the purpose of this study are discussed. A machine learning model is developed and the capability of the model in estimation of D and E-region constituents includes $N_2$, $O$, $O_2$, as well as $T$ and $N_e$ is examined. Such a technique can also lead to global mapping of HF absorption and improve OTHR (over-the-horizon-radar) performance. </p>
"Onset of post-cratering melting of target rocks at the impact melt contact: observations from the Vredefort impact structure, South Africa" µCT data
<p>µCT Dataset. </p>
Datasets of GEV distribution values of observed surface pressure, rainfall and westward wind speed
<p>These are the generalized extreme value (GEV) distribution results obtained from Figure 3.5B, Figure 3.6B, Figure 3.7B and Figure C.4d in Peirson et al. (2011) and Figure 4, Figure 5, Figure 6 in Peirson et al. (2014). These datasets had been used to evaluate the climate model characterization of extreme storms. The evaluation results have been summarized in a paper which submitted to Journal of Climate: Wenjun Zhu et al., 2023: "An Assessment of Model Projections of Climate-change Induced Extreme Storms on the South-eastern Coast of Australia" (submitted).</p>
Data for Typhoon Modelling with Observed Drag Reduction over Land as well as in-situ Observations
<p>No description provided.</p>
X-ray properties of high-redshift Radio Loud and Radio Quiet Quasars observed by Chandra
<p><a href="http://arxiv.org/abs/2301.02866">X-ray properties of high-redshift Radio Loud and Radio Quiet Quasars observed by Chandra</a></p> <p>The following data set presents the data used in our research paper "X-ray properties of high-redshift Radio Loud and Radio Quiet Quasars observed by Chandra " <a href="http://http://arxiv.org/abs/2301.02866">http://arxiv.org/abs/2301.02866</a>. These tables contain the X-rays parameters of our selected sample of quasars. The file name acronames are (RLQ: Radio Loud Quasars), (RQQ: Radio Quiet Quasars), and (RIQ: Radio Intermediate Quasars). The number in the files name indicates the number of quasars in this file. Each parameter has its corresponding data type, physical description, and unit.</p>
Photograph dataset - Participant observation - Digbeth (Birmingham), St. George´s Cultural Quarter (Leicester), Ouseburn Valley (Newcastle upon Tyne) - United Kingdom
<p>Photographs taken during various participant observations developed between September 2016 and March 2020 by Jennifer García Carrizo.</p> <p>For further details, please consult:</p> <ul> <li>GARCÍA CARRIZO, J. (2022). Estrategias para la inclusión de personas con discapacidad. El caso del Ouseburn Valley (Newcastle upon Tyne, Reino Unido). <em>Prisma Social,</em> 37, 182–211. <a href="https://revistaprismasocial.es/article/view/4570/5314c">https://revistaprismasocial.es/article/view/4570/5314c</a> </li> <li>GARCÍA CARRIZO, J. (2022). Festivales y eventos como puntos de activación de la ciudadanía y de espacios culturales y creativos. In S. Liberal & G. Bonales (Coords.), <em>La representación de la ciudad en la sociedad contemporánea </em>(9-26). Mc Graw Hill. ISBN 978-84-486-4059-0</li> <li>GARCÍA CARRIZO, J. (2022). Empoderamiento, comunicación y activismo: el Ouseburn Trust como un catalizador de la participación ciudadana. In J.C. Figuereo-Benítez & R. Mancinas-Chávez (Coords.), <em>El poder de la comunicación: actores, estrategias y alternativas </em>(520-540). Dykinson. <a href="https://eprints.ucm.es/id/eprint/76022/"> https://eprints.ucm.es/id/eprint/76022/ </a></li> <li>GARCÍA CARRIZO, J. (2021). Regeneración urbana mediante industrias culturales y creativas. El caso de Digbeth (Reino Unido), un espacio para vivir, trabajar y disfrutar. <em>Arte y ciudad. Revista de Investigación</em>, 19, 121-152. <a href="https://doi.org/10.22530/ayc.2021.19.589">https://doi.org/10.22530/ayc.2021.19.589</a></li> <li>GARCÍA CARRIZO, J. (2021). El distrito cultural y creativo del Digbeth (Birmingham, Reino Unido) y sus planes de regeneración urbana. <em>Arte y Políticas de Identidad</em>, 25(25), 181–204. <a href="https://doi.org/10.6018/reapi.506261">doi.org/10.6018/reapi.506261</a> </li> <li>GARCIA CARRIZO, J. and GRANGER, R.C. (2020). Cultural and Creative Districts as Spaces for Value Change. In Granger, R.C. (ed.) <em>Value Construction in the Creative Economy. Negotiating Innovation and Transformation</em> (177-198). Basingstoke Springer International Publishing - Palgrave Macmillan. (https://doi.org/10.1007/978-3-030-37035-0). https://eprints.ucm.es/id/eprint/75633/ </li> <li>GARCÍA CARRIZO, J. (2019). La construcción de marca de distrito cultural y creativo del "Ouseburn Valley" (Newcastle Upon Tyne, Reino Unido): análisis de su documentación filmográfica. <em>Documentación de las Ciencias de la Información, </em>42, 19-37. <a href="https://doi.org/10.5209/dcin.64420">https://doi.org/10.5209/dcin.64420</a> </li> <li>GARCÍA CARRIZO, J. (2019). Distritos Culturales y Creativos como espacio para el activismo: análisis del caso del Ouseburn Valley en Newcastle upon Tyne. In JIVKOVA SEMOVA, D., ALADRO VICO, E. & POPELKA SOSA SÁNCHEZ, R. (Eds.), <em>Entender el Artivismo </em>(117-133)<em>.</em> Peter Lang. (ISBN: 978-1-78874-434-8).</li> <li>GARCÍA CARRIZO, J. (2018). Gestión de la marca distrito cultural y creativo. Análisis del Leicester´s Cultural Quarter y su notoriedad como marca-distrito cultural y creativo entre turistas. In CHAVES MARTÍN, M.A. & Tejeda Martín, I. (Eds.), <em>Distritos Culturales y Revitalización Urbana </em>(201-220)<em>.</em> Icono 14. <a href="http:// https://eprints.ucm.es/id/eprint/63528/">https://eprints.ucm.es/id/eprint/63528/</a></li> </ul>
Observation of V. destructor females' pulsation behaviour from different angles, under a stereomicroscope.
<p>Females <em>V. destructor</em> can be observed while they vibrate</p>
FIGURE 1 in New Record and Observations of Parapolybia escalerae (Meade-Waldo, 1911) (Hymenoptera: Vespidae: Polistinae) in Kurdistan, Iraq
FIGURE 1. Parapolybia escalerae adult females on the water source.
Figure A2 in Carcinoecium-Forming Sea Anemone Stylobates calcifer sp. nov. (Cnidaria, Actiniaria, Actiniidae) from the Japanese Deep-Sea Floor: A Taxonomical Description with Its Ecological Observations
Figure A2. Cnidae of Stylobates calcifer sp. nov. (holotype: NSMT-Co 1794). (A–E) The examined position of the sea anemone (the upper diagram), including the large basitrich in tentacles (a), spirocyst in tentacles (b), large (c) and small (d) basitrich in actinopharynx, middle basitrich in the column (e), microbasic b-mastigophore (f) and p-mastigophore (g) in mesenterial filament, and middle basitrich (h) in limbus.
Figure 5 in Carcinoecium-Forming Sea Anemone Stylobates calcifer sp. nov. (Cnidaria, Actiniaria, Actiniidae) from the Japanese Deep-Sea Floor: A Taxonomical Description with Its Ecological Observations
Figure 5. External morphology of the carcinoecium produced by Stylobates calcifer sp. nov. (A, B) The dorsal and ventral view of the carcinoecium on the shell of Trochocerithium shikoensis (Yokoyama, 1928) (CMNH-ZG09764). (C, D) The dorsal and ventral view of the carcinoecium on the shell of Clavus sp. (CMNH-ZG09766). Scale bars = 5 mm. car, carcinoecium; os, original shell.
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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.