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59 results for “2022-05”

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zenodo40/100

Split-beam echosounder data from keel-mounted EK60 during PolarFront 2022-05 cruise

<p>Cruise report:</p> <blockquote>Hull-mounted EK60 The keel-mounted Simrad EK60&reg; split-beam echosounder continuously recorded hydroacoustic data at 18, 38, and 120 kHz. The ping rate was set to 1.5 seconds and pulse length to 1,024 &micro;s. The echosounder was calibrated annually using the standard sphere method (Demer et al., 2015). A Seabird 911 Plus CTD&reg; recorded temperature and conductivity regularly throughout the transects from which we could derive profiles of temperature and salinity, sound speed (Mackenzie, 1981), and the coefficient of absorption at each frequency (Fran&ccedil;ois and Garrison, 1982).</blockquote>

opencc-zeroDec 2022View details →
zenodo40/100

Wideband acoustic transceiver data from probe attached to rosette on PolarFront 2022-05 cruise

<p><strong>PolarFront 2022-05&nbsp;WBAT/Rosette</strong></p> <p>Proprietary echosounder files and mission plan from Kongsberg Maritime WBT tranceiver EKA, serial number 253119.</p> <p>Time coverage: 2022-05-20T04:32:12Z/2022-05-25-T12:30:06Z</p> <p>Size: 2.8GiB</p> <blockquote> <p><strong>Acoustic probe (WBAT)</strong><br> At some stations&nbsp;we deployed an acoustic probe composed of a Wideband Acoustic<br> Transceiver (WBAT; Kongsberg Maritime AS) mounted on the LOPC rosette frame and connected to<br> a sideward-looking 38 kHz split beam transducer (Model ES38-18DK; 36-45 kHz) and a sideward-<br> looking 333 kHz single beam transducer (Model ES333-7CDK-single; 280-380 kHz), both operated in<br> broadband mode split-beam wideband (Figure 1c). The ping rate was set to 1 second, the range to 50<br> m, the pulse length to 2,048 &micro;s, and power to 225 W at 38kHz and 38 W at 333 kHz. The WBAT was<br> calibrated in January 2022. The time of the WBAT was synchronized with the LOPC-CTD to extract<br> the exact depth at each ping.</p> </blockquote> <p>For a list of probe stations, see M Daase (ed., 2022, table 4.1, p. 32).</p> <p><strong>References</strong></p> <p>Malin Daase (ed.) (2022). <a href="https://doi.org/10.5281/zenodo.7128746">PolarFront May 2022 Cruise Report</a>. Zenodo. https://doi.org/10.5281/zenodo.7128746</p>

opencc-zeroDec 2022View details →
zenodo36/100

Seawater velocities from ship acoustic Doppler current profiler during PolarFront 2022-05 cruise

<p>Seawater velocities captured by Ocean Surveyor ADCP, RD Instruments, were recorded (blanking distance 8 m, bottom track on) during our entire study from 18-26 May.</p>

opencc-zeroDec 2022View details →
zenodo32/100

MILAN project: raw images of deep sky objects captured with a Stellina observation station -- [2022-05]

<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.&nbsp;</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.&nbsp;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&nbsp;built&nbsp;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 and NGC 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&nbsp;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: &quot;Parisot, O., Hitzelberger, P., Bruneau, P., Krebs, G., Destruel, C., &amp; 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.&quot;</p> <p>&nbsp;</p> <p>MILAN project team members: Olivier Parisot (LIST), Patrik Hitzelberger (LIST), Pierrick Bruneau (LIST), Gilles Krebs (VAONIS, Christophe Destruel (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:&nbsp;https://vaonis.com/</p> <p>More information about Luxembourg of Science and Technology (LIST):&nbsp;https://www.list.lu/</p> <p>Data license for files:&nbsp;Attribution-NonCommercial-NoDerivatives 4.0 International</p> <p>&nbsp;</p>

openother-ncJul 2022View details →
zenodo32/100

RealityScan 2022-04-05T02:21:01.874Z

Source: Objaverse 1.0 / Sketchfab

opencc-byApr 2022View details →
zenodo32/100

Vertical hydrography profiles from CTD rosette downcasts during PolarFront cruise 2022-05

<p>Hydrography data from CTD (SBE911plus, Seabird Inc.) profiles. Rosette equipped with the following sensors:</p> <ul> <li>Conductivity</li> <li>Temperature</li> <li>Pressure</li> <li>Fluorometer</li> <li>Turbidity</li> <li>PAR</li> <li>Oxygen</li> </ul> <p>Update December 2024</p> <p>The salinity and temperature sensors were calibrated against another CTD from a moored instrument by Ragnheid Skogseth at UNIS, the University Centre in Svalbard. A relatively large drift in temperature was observed. To convert temperature (T) and salinity (S) to calibrated values apply the following equations to e.g. data from stnrxxxx_bin.cnv</p> <p>T_new = T_old + 0.12<br>S_new = 1.0115 * S_old &ndash; 0.5343</p> <p>The following is quoted verbatim from chapter 1 in the cruise report (Basedow, 2022):</p> <blockquote> <p>Hydrographic data were collected by a variety of sensors mounted on vertical profiling platforms, towed platforms and autonomous gliders. Combined, these platforms provided detailed information at stations, high-resolution measurements across the polar front, and longer-term measurements by the gliders. During the cruise, hydrographic measurements were taken at stations using the main rosette equipped with 12 5-L Niskin bottles, CTD-F, PAR and other sensors (Table 1.1) and using a smaller rosette frame equipped with CTD-F, LOPC, LISST and WBAT (Table 1.2, Fig. 1.1). Both platforms were deployed vertically until 5-10 m above the bottom for the main platform and down to 300 m for the platform with the LOPC, this rosette sampling three profiles at selected stations.</p> <p>In total 14 vertical profiles were sampled by the rosette with the water bottles (Table 1.1) at our 6 main stations (PF1 to PF6). Water samples for biological analyses were taken from selected depths and a bottom water samples was collected at each station for calibration of the conductivity sensor ashore. Water samples for chlorophyll a will be used to calibrate the fluorescence sensor. CTD data from this rosette were processed using the SBEDataProcessing-Win32 software. Only the values from the CTD downcast were used to avoid turbulence caused by the rosette on the upcast. The data were converted<br>to physical units, filtered for outliers and bin-averaged over 1 m bins.&nbsp;</p> </blockquote> <p><strong>References</strong></p> <p>S&uuml;nnje Basedow, Nicolas Gosset, Torkel Granaas, Eva Leu (2022).&nbsp;Hydrography. In:&nbsp;Malin Daase (ed.) (2022). PolarFront May 2022 Cruise Report. Zenodo. https://doi.org/10.5281/zenodo.7128746</p>

opencc-zeroDec 2022View details →
nasa32/100

ISS_COORDS_2022-02-05

This data represents the best estimated real-time trajectory and local sightings opportunities for the International Space Station (ISS) as generated by the Trajectory Operations and Planning (TOPO) flight controllers at Johnson Space Center.

restrictedus-pdMar 2025View details →
zenodo28/100

Baliles Center (Hull Springs) Restored Wetland Data from 2022-02-05 to 2022-03-08

<p>General Metadata for Hull Springs Restored Wetland Sampling Station</p> <p>Files</p> <p>Specific metadata for each deployment and sensor can be found as text files with the file format of:</p> <pre><code>HS_wetland_DO_YYYY-MM-DD_metadata.txt HS_wetland_Depth_YYYY-MM-DD_metadata.txt HS_wetland_CT_YYYY-MM-DD_metadata.txt</code></pre> <p>Where YYYY-MM-DD is the date that the sampling period ended.</p> <p>NOTE: The metadata in the above file is collected from the data logger and does not have all of fields present in the final data set, because some were created during data cleaning. Details on how the data were cleaned and variables created can be found at in the cleaning scripts on Gitlab <a href="https://gitlab.com/leo147/leo/-/tree/master/lab_notebook/data_processing/cleaning_scripts">https://gitlab.com/leo147/leo/-/tree/master/lab_notebook/data_processing/cleaning_scripts</a>.</p> <p>File Created</p> <ul> <li>2021-06-16 by KF</li> </ul> <p>File Modified</p> <ul> <li>2021-07-22 by KF - added general metadata for the pressure transducer and the CT sensor.</li> <li>2021-11-10 by KF - updated to include the depth calculations from the water level logger.</li> </ul> <p>Description</p> <p>These data are from the sampling station in the restored wetland at the Baliles Center for Environmetal Education at Hull Springs. The sensors are in the NE corner of the shallow pond portion of the restored wetland (38.119289, -76.667252).</p> <p>All data are CC-BY and should be cited using the DOI available at <a href="https://zenodo.org/communities/leo/">https://zenodo.org/communities/leo/</a></p> <p>Station Specifics</p> <p>The specific at each site are:</p> <pre><code>* Water Temperature (dC) and Dissolved Oxygen (mg/l) are collected with a Onset HOBO U26-001 Dissolved Oxygen Logger * Water Temperature (dC) and Water Pressure (mmHg) are collected with an Onset HOBO U20-001-01 Water Level Logger * Water Temperature (dC) and Conductivity are collected with an Onset HOBO U24-001 Conductivity Logger * Air Temperature (dC) and Barometric Pressure (mmHg) are collected with an Onset HOBO U20-001-01 Water Level Logger mounted in the air next to the wetland.</code></pre> <p>The sensors are sampled every 15 minutes</p> <p>Measurement Parameters, units, and Variable Names</p> <pre><code>* date.time - the date and time that the record was collected, reported in POSIX standard time (YYYY-MM-DD HH:MM:SS) * observation.DO, .CT, .press, or .BP - the incremental number of each observation from the DO, conductivity, water pressure, or barometric pressure sensor. * timestamp.DO, .CT, .press, or .BP - the data and time that the record was collected, as reported by the data logger (MM/DD/YY HH:MM:SS A/PM) from the DO, conductivity, water pressure, or barometric pressure sensor. * DO - the concentration of dissolved oxygen in the water (mg/L) * Temp.DO, .CT, .press, or .BP - the temperature (dC) from the DO, conductivity, water pressure, or barometric pressure sensor. * Pressure.press or .BP - the pressure recorded by the pressure transducer (kPa) on the water pressure or barometric pressure sensor. * Z - the depth of the water (cm). * Low_Range_CT - the conductivity read from 0 - 2500 uS/cm (uS/cm) * Full_Range_CT - the conductivity read from 0 - 15000 uS/cm (mmHg) * press.g.cm2 - the pressure from the water pressure sensor (g/cm^2) * BP.g.cm2 - the barometric pressure from the barometric pressure sensor (g/cm^2)</code></pre>

opencc-by-4.0May 2022View details →
zenodo24/100

Data from Radiometer (RAD) intercomparison measurements in Paris from 2022-09-02 to 2024-05-02 [RAW]

<p>Original logger data files from radiometer intercomparison measurements at SIRTA Atmospheric Observatory in Palaiseau in the Greater Paris region.</p>

embargoedother-closedJul 2024View details →
zenodo24/100

Data from Doppler-Wind Lidar (DWL) measurements at Berlin – Schöneberg (BESCHO) from 2022-06-28 to 2022-10-05 [RAW]

<p>Original data files from scanning DWL measurements on a roof in Berlin&ndash;Sch&ouml;neberg located in the city centre of Berlin, Germany</p>

embargoedother-closedSep 2024View details →
zenodo20/100

Data from Infrared Thermometer (IRT) measurements at Berlin – Tempelhof (BETEMP) from 2022-03-28 to 2022-10-05 [RAW]

<p>Original data files from IRT measurements.</p>

embargoedother-closedMar 2024View details →
zenodo20/100

Data from Large-Aperture Scintillometer (LAS) path measurements between Berlin – Wedding (BEWEDD) and Berlin – Friedrichstadt (BEFRIE) from 2021-09-14 to 2022-04-05 [RAW]

<p>Original data files from LAS measurements.</p>

embargoedother-closedMar 2024View details →
zenodo20/100

Data from Large-Aperture Scintillometer (LAS) path measurements between Berlin – Neukölln (BENEUK) and Berlin – Gropiusstadt (BEGROP) from 2022-01-26 to 2022-05-25 [RAW]

<p>Original data files from LAS measurements.</p>

embargoedother-closedMar 2024View details →
zenodo20/100

Data from Doppler-Wind Lidar (DWL) measurements at Berlin – Rothenburgstrasse (BEROTH) from 2022-10-05 to 2022-10-24 [RAW]

<p>Original data files from DWL measurements.</p>

embargoedother-closedMar 2024View details →
zenodo20/100

Data from Automatic Weather Station (AWS) measurements at Berlin–Grunewald (BEGRUN) from 2022-05-10 to 2022-10-17 [RAW]

<p>Original data files from AWS measurements.</p>

embargoedother-closedMar 2024View details →
zenodo20/100

Data from Automatic Lidar and Ceilometer (ALC) measurements at Berlin – Rothenburgstrasse (BEROTH) from 2021-08-05 to 2022-06-13 [RAW]

<p>Original data files from ALC measurements.</p>

embargoedother-closedMar 2024View details →
zenodo20/100

Data from Automatic Lidar and Ceilometer (ALC) measurements at Berlin – Tempelhof (BETEMP) from 2021-09-20 to 2022-10-05 [RAW]

<p>Original data files from ALC measurements.</p> Part 1 of 2.

embargoedother-closedMar 2024View details →
zenodo20/100

Data from Automatic Lidar and Ceilometer (ALC) measurements at Berlin – Tempelhof (BETEMP) from 2021-09-20 to 2022-10-05 [RAW]

<p>Original data files from ALC measurements.</p> Part 2 of 2.

embargoedother-closedMar 2024View details →
zenodo20/100

P900_2022-05-14_15-35-04

<u>Source</u>: Flickr <br><u>4DCity URL</u>: <a href="https://4dcity.org/imgupload/1653128978.5773.jpg">https://4dcity.org/imgupload/1653128978.5773.jpg</a> <br><u>Original Image URL</u>: <a href="https://live.staticflickr.com/65535/52073897026_60d9f87490_m.jpg">https://live.staticflickr.com/65535/52073897026_60d9f87490_m.jpg</a> <br><br><u>Image-Metadata:</u><br>Filename: 1653128978.5773.jpg<br>Image Dimensions: 180x240<br>Megapixels: 0.04 MP<br>Filesize: 11.70 KB<br><br>ExifOffset: 38

restrictedMay 2022View details →
zenodo20/100

P900_2022-05-14_15-35-14

<u>Source</u>: Flickr <br><u>4DCity URL</u>: <a href="https://4dcity.org/imgupload/1653128978.4721.jpg">https://4dcity.org/imgupload/1653128978.4721.jpg</a> <br><u>Original Image URL</u>: <a href="https://live.staticflickr.com/65535/52073897291_6148664b2f_m.jpg">https://live.staticflickr.com/65535/52073897291_6148664b2f_m.jpg</a> <br><br><u>Image-Metadata:</u><br>Filename: 1653128978.4721.jpg<br>Image Dimensions: 180x240<br>Megapixels: 0.04 MP<br>Filesize: 11.98 KB<br><br>ExifOffset: 38

restrictedMay 2022View details →

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behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
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