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10,016 results for “Observation”
Dataset used in Sea surface wind structure observed by wave gliders during tropical cyclones
<p>Sea surface wind vector observed by three wave gliders deployed in the Western Pacific Ocean. The observation level is 1.2 meter.</p>
Source Data for Direct observations of energy transfer from resonant electrons to whistler-mode waves in magnetosheath of Earth
<p>Source Data files for figures and Supplementary figures in the manuscript "Direct observations of energy transfer from resonant electrons to whistler-mode waves in magnetosheath of Earth".</p> <p>Source_Data.zip includes data files (.txt or .xlsx) for each panel in the figures.</p> <p>tplot_save_files_w_load_procedures_for_time_series_plots.zip includes, tplot save files (.tplot) of time series plot figures and procedures to load and plot the tplot save files with SPEDAS (bleeding edge >r31062).</p>
Density power spectrum of three red giant stars observed by Kepler
<p>Density power spectrum of three red giants stars observed by Kepler in the frequency range 50-280 µHz. Kepler data are publicly available from the Mikulski Archive for Space Telescopes (MAST) portal at <a href="https://archive.stsci.edu">https://archive.stsci.edu</a>. They have been corrected following García et al. (2011, MNRAS 414, L6).</p>
Optical polarimetric observations of black hole binary Cyg X-1 with DIPol-2
<p>The dataset contains raw polarimetric FITS images of black hole X-ray binary <a href="https://en.wikipedia.org/wiki/Cygnus_X-1">Cyg X-1</a> (and surrounding field), obtained with the DIPol-2 optical CCD polarimeter in three (<em>BVR</em>) filters while mounted on the remotely operated Tohoku 60 cm (T60) telescope at the Haleakala Observatory, Hawaii. The data were collected over 5 observing nights during the week 2022 May 15–21 for about 4 hours each night. During each observing night, a set of calibration images were also obtained. These typically include 7 dark and 7 bias images per filter per night. Bias and dark FITS files have `bias` or `dark` labels in their names.</p>
Gedeotic observations and slip distribution for the 2022 Afghanistan earthquake
<p>Gedeotic observations and slip distribution for the 2022 Afghanistan earthquake</p>
Discovery of 24 radio-bright quasars at 4.9<z<6.6 using low-frequency radio observations
<p>Properties of newly discovered high-z quasars (4.9<z<6.6) derived from photometric and spectroscopic observations. The radio measurements have been obtained using the LOFAR Two Metre Sky Survey (LoTSS-DR2; 144 MHz), VLA FIRST (1.4 GHz), and Very Large Array Sky Survey (VLASS; 2-4 GHz). The spectroscopic observations have been conducted using the Faint Object Camera and Spectrograph on the Subaru telescope, LRS2 on the Hobby-Eberly Telescope, and LRIS on Keck. The rest-frame UV magnitudes have been derived by combining the optical to mid-infrared observations and performing spectral energy distribution fitting using the template fitting code EAZY (Brammer et al 2008).</p>
Early postoperative pain trajectories after posterolateral and axillary approaches for thoracic surgery: A prospective monocentric observational study
<p class="MDPI17abstract"><span>Less invasive thoracotomies may reduce early postoperative pain. The aims of this study were to identify pain trajectories from postoperative day 0 to 5 after posterolateral and axillary thoracotomies and identify potential factors related to the worst" trajectory. Patients undergoing a posterolateral (92 patients) or axillary (89 patients) thoracotomy between July 2014 and November 2015 were analyzed in this prospective monocentric cohort study. The best-fitting model resulted in four pain trajectory groups: trajectory 1, the "worst", with 29.8% of the patients with permanent significant pain; trajectory 2 with patients with low pain (32.6%), trajectory 3 with patients with a steep decrease in pain (22.7%), trajectory 4 with patients with a steep increase (14.9%). According to a multinomial logistic model multivariable analysis, some predictive factors allow differentiation between trajectory groups 1 and 2. Risk factors for permanent pain are the existence of preoperative pain (OR =6.94, CI 95% [1.54-31.27]) and scar length (OR=1.20 [1.05-1.38])). In contrast, ASA class III is a protective factor to be in group 1 (OR=0.02 [0.001-0.52]). In conclusion, early postoperative pain can be characterized by four trajectories and preoperative pain is the major factor for the worst trajectory of early postoperative pain.</span></p>
Gamma-Ray Glow simulation library for the paper "Library of simulated gamma-ray glows and application to previous airborne observations" by D. Sarria et al.
<p><strong>Gamma ray glow simulation library </strong>for the paper "Library of simulated gamma-ray glows and application to previous airborne observations" by <em>D. Sarria et al.</em></p> <p> </p> <p><strong>Description of the files:</strong></p> <ul> <li> `glow_database.mat` : MATLAB .mat file. Contains the gamma-ray glow simulation library, that contains energy spectra of photons, electrons and positrons for different production altitude, record altitudes and applied potential differences (E-field). It is a MATLAB structure with 5 indices : <ul> <li>TYPE : photon, electrons or positrons</li> <li>POTENTIAL (in MV), among the list: [-220 -210 -190 -175 -150 -120 -80 -50 -40 -30 -20 -10 0 10 20 30 40 50 80 120 150 175 190 210 220]</li> <li>RECORD position relative to center of E-field region (in km), among the list: [0 1 -1 2 -2 3 -3 4 -4 5 -5 6 -6 7 -7 8 -8]</li> <li>E-field region CENTER altitude (in km), among the list [6 8 10 12 14 15 16]</li> <li>Note: some parameter combinations were not calculated and are left empty (e.g. record altitudes above 20 km)</li> </ul> </li> </ul>
Data repository of the paper "Library of simulated gamma-ray glows and application to previous airborne observations" by D. Sarria et al.
<p><strong>Data repository of the paper "Library of simulated gamma-ray glows and application to previous airborne observations" by <em>D. Sarria et al.</em></strong></p> <p> </p>
Scripts and observations for Pedruzo-Bagazgoitia et al. (2022)
<p>Observations gathered during the GoAmazon2014/5 campaign and Python scripts utilized for the elaboration of the figures and analysis in Pedruzo-Bagazgoitia et al. (2022)</p>
Improvement of the aerosol forecast and analysis over East Asia with joint assimilation of two geostationary satellite observations
<p>These are FY-4A satellite AOD products and SONET AOD datasets used in the manuscript titled "Improvement of the aerosol forecast and analysis over East Asia with joint assimilation of two geostationary satellite observations" to Geophysical Research Letters. </p>
Observations of natural positive leader featuring stepwise propagation in low frequency magnetic field
<p>The high-speed video, B-field and E-field data of two cases in the manuscript is presented here.</p>
Figures 5-8 in Observations on the behavior of male and female Paraphidippus aurantius at the molting sac of a female (Araneae: Salticidae: Dendryphantina)
Figures 5-8. Interaction of two male P. aurantius at the molting sac of a female.
Exoplanets Observing Methods I: Astrometry
<p>Recording of the presentation given at the Summer School</p>
An Observational and Modeling Study of Inverse-Temperature Layer and Water Surface Heat Flux
<p>The data are used for an observational and modeling analysis of water temperature distribution and water surface energy budget. </p>
MILAN project: raw images of deep sky objects captured with a Stellina observation station -- [2022-09]
<p>During the MILAN research project (MachIne Learning for AstroNomy), the research team uses Stellina observation stations to collect raw images of deep sky objects. </p> <p>The Stellina observation station has an apochromatic ED doublet with an aperture of 80 mm and a focal length of 400 mm - focal ratio of f/5. It is equipped with a Sony IMX 178 CMOS sensor with a resolution of 6.4 million pixels (3096 x 2080 pixels). An anti-pollution filter is placed in front of the camera sensor. The station also has a fully automated alt-azimuth mount: setup, object tracking and focusing are also automatic. Stellina also has an integrated field rotator that adapts to the target.</p> <p>Thus, the research team built a dataset that faithfully represents what can be obtained during classical Electronically Assisted Astronomy sessions in the Luxembourg Greater Region:<br> - targets: representative set of deep sky objects from the Messier / NGC / IC / Barnard / Sharpless catalogs during the period.<br> - type of targets: nebulaes, planetary nebula, galaxies, globular clusters, open clusters<br> - for each observation session: sub-frames of 10 seconds exposure time and total cumulative duration of ~15/30 minutes (depending of the target) -- bad sub-frames were not filtered.</p> <p>The dataset is composed of ZIP files -- and each zip file contain raw images in FITS format (Flexible Image Transport System): data come directly from the Sony IMX178 sensor of the Stellina observation station (no debayerisation and no post processing).</p> <p>This research was funded by the Luxembourg National Research Fund (FNR), grant reference 15872557.</p> <p>To refer to or to cite this work, please use: "Parisot, O., Hitzelberger, P., Bruneau, P., Krebs, G., Destruel, C., & Vandame, B. (2023). MILAN Sky Survey, a dataset of raw deep sky images captured during one year with a Stellina automated telescope. Data in Brief, 48, 109133."</p> <p> </p> <p>MILAN project team members: Olivier Parisot (LIST), Patrik Hitzelberger (LIST), Pierrick Bruneau (LIST), Gilles Krebs (VAONIS, Christophe Destruel (VAONIS), Benoît Vandame (VAONIS).</p> <p>More information about the MILAN project: https://www.fnr.lu/results-2021-1-bridges-call/.</p> <p>More information about VAONIS instruments: https://vaonis.com</p> <p>More information about Luxembourg of Science and Technology (LIST): https://www.list.lu</p> <p>Data license for files: Attribution-NonCommercial-NoDerivatives 4.0 International</p>
Burst data for "Arecibo observations of a burst storm from FRB 20121102A in 2016" by Hewitt et al. 2021
<p>Numpy arrays of the bursts presented in the MNRAS article "Arecibo observations of a burst storm from FRB 20121102A in 2016" by Hewitt et al. 2021.</p>
Data from: Consistency in the flight and visual orientation distances of habituated chacma baboons after an observed leopard predation: Do flight initiation distance methods always measure perceived predation risk?
<p>Flight initiation distance (FID) procedures are used to assess the risk perception animals have for threats (e.g., natural predators, hunters) but it is unclear whether these assessments remain meaningful if animals have habituated to certain human stimuli (e.g., researchers, tourists). Our previous work showed that habituated baboons displayed individually distinct and consistent responses to human approaches, a tolerance trait, but it is unknown if the trait is resilient to life-threatening scenarios. If it were consistent, it would imply FIDs might measure specific human threat perception only and not generalise to other threats such as predators when animals have experienced habituation processes. We used FID procedures to compare baseline responses to the visual orientation distance, FID, and individual tolerance estimates assessed after a leopard predation on an adult male baboon (group member). All variables were consistent despite the predation event, suggesting tolerance to observers was largely unaffected by the predation and FID procedures are unlikely to be generalisable to other threats when habituation has occurred. FID approaches could be an important tool for assessing how humans influence animal behaviour across a range of contexts, but careful planning is required to understand the type of stimuli presented.</p>
Artifact for "CTMCs with Imprecisely Timed Observations"
<p>This artifact contains an implementation of the approach from the paper <em>"CTMCs with Imprecisely Timed Observations" </em>presented at <em>TACAS 2024.</em><br>The implementation is written in Python and builds upon the probabilistic model checker <a href="https://www.stormchecker.org/">Storm</a>.<br>The artifact contains all benchmarks (CTMC models, properties, and evidences) used in the numerical experiments presented in Section 6 of the paper.<br>The artifact allows to reproduce all the results of the numerical experiments, in particular, Table 2 and Figure 6 (in the main paper) and Figure 8 (in the appendix).</p> <p>The artifact is licensed under GPL-3.0<br>Please see the <em>README</em> within the zip archive on how to obtain, build and run the artifact.</p> <p> </p> <p>Requirements:<br>No special requirements are needed, the artifact works without an internet connection.<br>Building the artifact requires 1-2 hours.<br>Running all experiments requires roughly 4 hours.</p>
Observation of Reactive Transport in Soil Columns with Positron Emission Tomography (GeoPET)
<p>Here we investigate reactive transport in soils with GeoPET as quantitative spatiotemporal molecular imaging method. As PET directly yields tracer concentrations, the data can be utilised for parameterization and validation of reactive transport computer models.</p> <p>Artificial soil columns (sand/silt/clay/Goethit, length 90 mm, diameter 40 mm) have been prepared under CO<sub>2</sub>-atmosphere. Four different experiments on one and the same soil column are shown as motion pictures from the GeoPET-observations:</p> <p>1) Injection of water, labelled with [<sup>18</sup>F]KF, into the CO<sub>2</sub>-saturated column</p> <p>2) Conservative transport of [<sup>18</sup>F]KF solution through the water-saturated column</p> <p>3) Injection of the reactive tracer [<sup>64</sup>Cu]Cu(MCPA)<sub>2</sub> into the unconditioned water-saturated column</p> <p>4) Injection of the reactive tracer [<sup>64</sup>Cu]Cu(MCPA)<sub>2</sub> into the preconditioned column.</p> <p> </p> <p>The study was supported within the framework of the priority program “Biogeochemical Interfaces in Soil” by the German Science Foundation (DFG SPP 1315: KE508/19 and LI872/5).</p> <p> </p> <p>References:</p> <p>Kulenkampff, J., Zakhnini, A., Gründig, M., and Lippmann-Pipke, J.: Quantitative experimental monitoring of molecular diffusion in clay with positron emission tomography, Solid Earth, <strong>7</strong>, 1207-1215, 2016.</p> <p>Kulenkampff, J., Gründig, M., Zakhnini, A., Gerasch, R., and Lippmann-Pipke, J.: Process tomography of diffusion, using PET, to evaluate anisotropy and heterogeneity, Clay Miner., <strong>50</strong>, 369–375, 2015.</p> <p>Kulenkampff, J., Gründig, M., Zakhnini, A., and Lippmann-Pipke, J.: Geoscientific process monitoring with positron emission tomography (GeoPET), Solid Earth, <strong>7</strong>, 1217–1231, 2016.</p> <p>Zakhnini, A., Kulenkampff, J., Sauerzapf, S., Pietrzyk, U., and Lippmann-Pipke, J.: Monte Carlo simulations of GeoPET experiments: 3D images of tracer distributions (<sup>18</sup>F, <sup>124</sup>I and <sup>58</sup>Co) in Opalinus Clay, anhydrite and quartz, Comput. Geosci., 57, 183–196, 2013.</p> <p>Lippmann-Pipke, J., Gerasch, R., Schikora, J., and Kulenkampff, J.: Benchmarking PET for geoscientific applications: 3D quantitative diffusion coefficient estimation in clay rock, Comput. Geosci. <strong>101</strong>, 21-27, 2017.</p> <p>Stoll, M., Kulenkampff, J., Gründig, M., Lippmann-Pipke, J., and Kersten, M.: Molecular positron emission tomography imaging of Cu mobility enhanced by the herbicide 4-chloro-2-methylphenoxy-acetic acid in a soil column, <em>submitted</em></p> <p>Lippold, H., Karimzadeh L., Kulenkampff, J. Wissmeier, L., Stuhlfauth, C., Stoll, M., Lippmann-Pipke, L.: Effect of pH on the mobility of the herbicide MCPA in a goethite-sand matrix: 1D and 2D reactive transport modelling, <em>to be submitted</em></p> <p> </p>
ScienceDex guides
Understand access before you commit
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.