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181 results for “meteors”
Global Meteor Network observations of Crew-5 Dragon trunk re-entry 2023-04-27
<p>This dataset contains video observations by some stations of the Global Meteor Network of the re-entry of the Crew-5 dragon trunk above Arizona on 2023-04-27 around 08:52 UTC.</p> <p>There are several types of files:</p> <ul> <li>FF files: these are 10.24 second videos compressed in the four-frame format. They are just FITS files with four frames, containing per pixel 1) the maximum value over 256 frames 2) the frame nr (between 0 and 255) where the maximum occurred 3) the mean value of all 256 frames and 4) the RMS of the 256 values.</li> <li>FR files: compressed video recordings of detected fireballs. These can be read with the RMS software.</li> <li>MP4 files: rendered movies of combined FF and FR files for one station (more can be made with FR_binviewer from RMS software).</li> <li>Platepar-files: these contain astrometry corresponding to the FITS files. These can be interpreted by the RMS software.</li> <li>ECSV files: these contain manually picked points (with SkyFit2.py from RMS) along the track of the reentry. For each point, time and apparent coordinates are recorded. These files can be interpreted by the WesternMeteorPyLib trajectory solver.</li> <li>trajectory-points.txt: solutions from the trajectory solver.</li> <li>reentry-map-v4.png: a rendered map of the trajectory (made in QGIS).</li> <li>compilation.png: rendered version of the FF-files of most stations.</li> </ul> <p>The files can be processed with the software in https://github.com/CroatianMeteorNetwork/RMS and https://github.com/wmpg/WesternMeteorPyLib.</p>
Microdata from the METEOR survey for nurses
<p>These are anonymized original data on 1351 European hospital nurses collected during the survey carried out within the project “Mental Health: focus on Retention of Healthcare Workers” (METEOR), funded by the European Union - European Health and Digital Executive Agency in 2020 as part of the 3rd EU Health Program <span> (Grant Agreement No: 101018310). </span>These data were analyzed in Maniscalco et al. (2024). Further details about the METEOR project are available at <a href="https://meteorproject.eu/">https://meteorproject.eu/.</a></p> <p> </p> <p><strong>Reference</strong></p> <p>1. Maniscalco L, Enea M, de Vries N, Mazzucco W, Boone A, Lavreysen O, et al. Intention to leave, depersonalisation and job satisfaction in physicians and nurses: a cross-sectional study in Europe. Sci Rep. 2024;14(1):2312. <a href="https://doi.org/10.1038/s41598-024-52887-7">https://doi.org/10.1038/s41598-024-52887-7</a></p>
Microdata from the METEOR survey for physicians
<p>These are anonymized original data on 375 European hospital physicians collected during the survey carried out within the project “Mental Health: focus on Retention of Healthcare Workers” (METEOR), funded by the European Health and Digital Executive Agency in 2020 as part of the 3rd EU Health Program (<a href="https://meteorproject.eu/">https://meteorproject.eu/</a>). These data were analyzed in Maniscalco et al. (2024).</p> <p> </p> <p><strong>Reference</strong></p> <p>1. Maniscalco L, Enea M, de Vries N, Mazzucco W, Boone A, Lavreysen O, et al. Intention to leave, depersonalisation and job satisfaction in physicians and nurses: a cross-sectional study in Europe. Sci Rep. 2024;14(1):2312. <a href="https://doi.org/10.1038/s41598-024-52887-7">https://doi.org/10.1038/s41598-024-52887-7</a></p> <p> </p>
Meteor observations and wind estimates from the northern Germany SIMONe radar network on November 5, 2018
<p>This dataset includes meteor observations and wind estimates taken as part of the SIMONe 2018 campaign in northern Germany on November 5, 2018. The files are in netCDF-4 format and follow CF conventions (https://cfconventions.org/). We recommend loading the data using the xarray Python package.</p> <p>The SIMONe 2018 campaign ran from November 2, 2018 through November 9, 2018 in northern Germany. The radar network consisted of two pulsed transmitters in Juliusruh and Collm and a five-element interferometric MIMO-CW transmitter located in Kühlungsborn. Monostatic receiver stations co-located with the pulsed transmitters and six additional receiver stations located in Mechelsdorf, Breege, Neustrelitz, Guderup, Salzwedel, and Bornim were used to form a total of two monostatic and ten bistatic links. The data from these individual links were then processed to detect specular meteor echoes and estimate their parameters, including Doppler shift. The Doppler shifts, imposed by movement of the meteor trail due to the neutral winds, were then used to estimate the 4-D wind field. More details about the campaign can be found in Vierinen et al. (2019). Details for the wind field estimation can be found in Volz et al. (submitted).</p>
Earth grazing meteor over Northern Europe, September 22, 2020, 03:53UTC
<p>An earth grazing meteor was observed over Northern Europe on September 22, 2020, around 03:53UTC.</p> <p>From Dwingeloo in the Netherlands, two images were obtained.</p> <ul> <li>2020-09-22T03:53:33.445.fits (FITS format, BGGR bayer matrix)</li> <li>2020-09-22T03:53:33.445.png (Debayered image)</li> <li>2020-09-22T03:53:50.135.fits (FITS format, BGGR bayer matrix)</li> <li>2020-09-22T03:53:50.135.png (Debayered image)</li> </ul> <p>The image times refer to the start of the exposure.</p>
MAARSY-Optical Coincident Meteor Observations
<p>Meteor observations from the MAARSY radar and a two-camera network deployed by the University of Western Ontario. The data are organized into individual directories for each event.</p><p>Each event directory contains a subset of the following files:</p><ul><li>*_echo.txt: MAARSY data for the event, including time, position, SNR, RCS, and velocity. Each file is title with the timestamp of the event</li><li>data*W.dat: optical camera data for the event, including time, position, and magnitude. Each file is titled with the observing camera: site 01 or site 02, wide-field (W) camera</li><li>Camera images of the event</li><li>Range-time plots of the radar and optical data</li></ul>
Embryo and larval biology of the deep-sea octocoral Dentomuricea aff. meteor
<p>The study focuses on the early life stages of the species <em>Dentomuricea</em> aff. <em>meteor</em>, a common deep-sea octocoral in the Azores. The objective was to describe the embryo and larval development, survival and swimming behaviour of early life stages of the target species, under two temperature regimes, corresponding to the minimum and maximum temperatures in its natural environment during the spawning season (13 °C and 15°C). Embryo and larval development were monitored closely and revealed faster developmental rates under 15°C . Survival counts were performed throughout embryo and larval development, but were not statistically different between temperatures. Moreover, swimming behaviour was assessed by means of video recordings, revealing a higher larval swimming speed at 15°C. Additional data on larval behaviour are provided, including settlement and metamorphosis rates which were low for both temperatures. Our results showcase how small temperature fluctuations can affect embryo and larval characteristics, potentially impacting larval dispersal and success.</p>
Solar cycle and long-term trends in the observed peak of the meteor altitude distributions by meteor radars
<p>The datasets here correspond to a paper by Dawkins et al., “Solar cycle and long-term trends in the observed peak of the meteor altitude distributions by meteor radars”, originally submitted in November 2022.</p> <p>The following datasets are sufficient to produce Figure 2 and 3 in the main manuscript.</p> <p>Figure 2:</p> <ul> <li>Please use the 12 individual files with filenames, “Dawkins_et_al_2022__meteor_peak_altitude__*_data.txt”. Here the asterisk should be replaced by one of the following station abbreviations: CAR, COL, CPa, DAV, KIR, KSS, ROT, SMa, SOD, SVA, TdF, and TRO.</li> <li>Each file contains 5 columns: Column 1 is year (from 1999 to 2022), Column 2 is the time series of the annual peak altitude residuals (no units), Column 3 is the corresponding standard error, Column 4 is the multilinear model fit, and Column 5 is the normalized annual solar flux (F10.7) in arbitrary units.</li> </ul> <p>Figure 3:</p> <ul> <li>Please use “Dawkins_et_al_2022__meteor_peak_altitude_trends.txt”. For ease, a description of the different columns is included within this file.</li> </ul> <p> </p>
SkiYMET meteor radar data at OLAP (2008-2009)
<p>SkiYMET meteor radar data from OLAP observatory at São João do Cariri (7.23º S; 36.32º W; dip lat. -22.22), Brazil. The files summarize the parameters of the diurnal, semidiurnal, and terdiurnal tides, such as amplitude and phase, for the zonal and meridional wind components. The winds were estimated for the months of April, July and October of 2009, and December of 2008. These data were used as input to the MIRE model in the study of Fontes et al. (2022).</p>
ALO Meteor Radar Processed Data in Jan 2022
<p>Meteor radar data include:</p> <p>Horizontal wind (vel) and detected meteors (met). Both original format and MatLab format (mat) files are included. Wind data are in three temporal resolutions, 1-hr, 30-hr, and 15-min.</p>
Meteors recorded with allsky cameras in 2016
<p>This dataset consists of videos of meteors, classified by the citizen science project "Flashes of the Universe" through Zooniverse and videos taken in 2016 by the camera network of the Instituto de Astrofísica de Canarias in collaboration with the Universidad Politécnica de Madrid (UPM) and the Agrupación Astronómica de Madrid Sur (AAMS).</p> <p>With the collaboration of The Spanish Foundation for Science and Technology (FECYT) - Ministry of Science and Education.</p>
Fig. 5 in A new tardigrade species of the genus Neostygarctus Grimaldi de Zio et al., 1982 (Tardigrada, Arthrotardigrada) from the Great Meteor Seamount, Northeast Atlantic
Fig. 5. Neostygarctus grossmeteori sp. nov. Paratype, ♀ (SMF 52), details. A. Lateral body processes, ventral view. B–D. Legs I (left and right) and IV. E. Genital area. Scale bars: A = 50 μm; B–E = 20 μm.
Fig. 2 in A new tardigrade species of the genus Neostygarctus Grimaldi de Zio et al., 1982 (Tardigrada, Arthrotardigrada) from the Great Meteor Seamount, Northeast Atlantic
Fig. 2. Neostygarctus grossmeteori sp. nov., entire. A. Holotype, ♀ (SMF 51), dorsal view. B. Paratype, Ƌ (SMF 58), ventral view. Scale bar = 100 μm.
Fig. 1 in A new tardigrade species of the genus Neostygarctus Grimaldi de Zio et al., 1982 (Tardigrada, Arthrotardigrada) from the Great Meteor Seamount, Northeast Atlantic
Fig. 1. Type locality and milieu of Neosstygarctus grossmeteori sp. nov. A. Position of the Great Meteor Seamount in the Atlantic Ocean. B. Bioclastic sediment consisting mainly of calcareous foraminiferan and pteropod shells (fine fraction of sediment washed off). Scale bar = 2 mm.
Fig. 4 in A new tardigrade species of the genus Neostygarctus Grimaldi de Zio et al., 1982 (Tardigrada, Arthrotardigrada) from the Great Meteor Seamount, Northeast Atlantic
Fig. 4. Neostygarctus grossmeteori sp. nov., optical photopictures. A. Paratype, ♀ (SMF 54), entire body, dorsal view. B. Holotype, ♀ (SMF 51), entire body, ventral view. C–E. Paratype of obscure gender (SMF 59). C–D. Areas of dorsal surface of body with spines. E. Lateral body projections. F. Holotype, ♀ (SMF 51), posterior body with female gonopore and anus. Scale bars: A–B = 50 μm; C–F = 20 μm.
Fig. 3 in A new tardigrade species of the genus Neostygarctus Grimaldi de Zio et al., 1982 (Tardigrada, Arthrotardigrada) from the Great Meteor Seamount, Northeast Atlantic
Fig. 3. Neostygarctus grossmeteori sp. nov., heads. A. Holotype, ♀ (SMF 51), dorsal view. B. Paratype, ♀ (SMF 52), ventral view. Scale bar = 50 μm.
Fig. 6 in A new tardigrade species of the genus Neostygarctus Grimaldi de Zio et al., 1982 (Tardigrada, Arthrotardigrada) from the Great Meteor Seamount, Northeast Atlantic
Fig. 6. Neostygarctus grossmeteori sp. nov., details, SEM. A. Female, entire body, ventral view. B. Right secondary clava and outer cirrus on the head, ventral view. C. Ventral conical spikes on the basal part of the lateral body process. D. Right lateral body processes. E. Lateral fan of spines with membrane on the posteriormost body segment. F. Toes with claws of the leg IV ventrally, dorsal tendon detached in some toes. G. Inner and outer claws, dorsal view. H. Accordion-like joint of the cirrus E. Scale bars: A = 30 μm; B, D, F = 10 μm; C, E, G–H = 3 μm.
Conjunctions between ICON-MIGHTI and 4 meteor radars, used in "Validation of ICON-MIGHTI thermospheric wind observations: 2. Greenline comparisons to meteor radars" by Harding et al. (2020, Submitted)
<pre>This dataset was used to generate the figures in the paper mentioned above and is being made available for the sake of reproducibility and future analysis. The primary variables are los_wind (the line of sight wind profiles observed by ICON-MIGHTI) and los_wind_r (the wind profiles observed by the meteor radar, interpolated in time and altitude to the MIGHTI sample, and projected onto the MIGHTI line of sight). Dimensions are "time" and "row" (which refers to the row of the MIGHTI CCD, roughly equivalent to altitude. Velocity units are m/s, distances are km, and lat/lon are in degrees. More information can be found in the paper.</pre>
Meteor-ablated Aluminum in the Mesosphere-Lower Thermosphere
<p>Meteor-ablated Aluminum in the Mesosphere-Lower Thermosphere</p> <p>by John Plane, Shane Daly, Wuhu Feng, Michael Gerding and Juan Carlos Gómez Martín.</p> <p>The repository contains the data used in the above paper.</p>
SKiYMET Meteor Radar Horizontal Wind at Andes Lidar Observatory 2009-2014
<p>This is horizontal wind measured by a SKiYMET Meteor Radar near Andes Lidar Observatory in Cerro Pachón, Chile (30.05 S, 70.82 W) from Sep 2009 to Aug 2014. The radar was previously installed at Maui, Hawaii and is described in the paper</p> <p>Franke, S. J., X. Chu, A. Z. Liu, W. K. Hocking (2005), Comparison of meteor radar and Na Doppler lidar measurements of winds in the mesopause region above Maui, Hawaii, <em>J. Geophys. Res.</em>, <em>110</em>, D09S02, doi:10.1029/2003JD004486.</p> <p>The data is in NetCDF format, at 1 hr and 2 km resolution from 80 to 100 km altitude. Time is in UT. Both time and altitude refer to the center of the 1 hr bin. Wind rms errors and numbers of meteor detections used for wind retrieval are also inicluded.</p> <p> </p>
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