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455 results for “microwave”
Seasonal sea ice indices including the timing of ice-edge advance and ice-edge retreat (in year day), the ice season duration (in days) and number of actual ice days (versus open water days) within the ice season, extracted for various PAL LTER sub-regions West of the Antarctic Peninsula and derived from passive microwave satellite data for 1979/80 to 2023/24 ice seasons.
Seasonal sea ice indices including the timing of ice-edge advance and ice-edge retreat (in year day), the ice season duration (in days) and number of actual ice days (versus open water days) within the ice season, extracted for various PAL LTER sub-regions West of the Antarctic Peninsula and derived from passive microwave satellite data for 1979/80 to 2023/24 ice seasons. The ice season duration is defined as the time elapsed between day of ice-edge advance and day of ice-edge retreat within a given sea ice year, which begins mid-February (mean minimum of summer sea ice extent for the Southern Ocean) and ends the following mid-February. See Stammerjohn et al (2008, JGR) for further details.
Average monthly sea ice coverage for various PAL LTER sub-regions West of the Antarctic Peninsula derived from passive microwave satellite data, 1978 - June 2024.
Monthly sea ice coverage derived from passive microwave satellite measurements and extracted for various PAL LTER subregions. Several different sea-ice metrics are provided including (1) monthly sea-ice extent, sea-ice area, and open-water area (km^2) extracted for the greater WAP region (from the AP to 80W) and for 3 PAL LTER grid regions: the original PAL grid (000-900 lines), the PAL 'DSR' grid (200-600 lines), and the PAL 'new' grid (-200 to 600 lines); and (2) monthly sea-ice concentration (%) extracted for small PAL subregions, including the nominal penguin foraging areas (~200km by ~200km) southwest of King George Island (KGI), Anvers, Avian and Charcot islands, as well as for Marguerite Bay (~140km by ~140km) (inland of the area defined for Avian).
Average yearly sea ice coverage for various PAL LTER sub-regions West of the Antarctic Peninsula derived from passive microwave satellite data, 1979 - 2023.
Annual sea ice coverage derived from passive microwave satellite measurements and extracted for various PAL LTER subregions. Several different sea-ice metrics are provided including: monthly sea-ice extent, sea-ice area, and open-water area (km^2) extracted for the greater WAP region (from the AP to 80W) and for 3 PAL LTER grid regions: the original PAL grid (000-900 lines), the PAL 'DSR' grid (200-600 lines), and the PAL 'new' grid (-200 to 600 lines).
SILC cosmic microwave background (CMB) maps R1 of Planck PR2 data
<p>Clean maps of the CMB temperature anisotropies (as measured by Planck; public data release PR2) constructed with a novel internal linear combination (ILC) algorithm using directional, scale-discretised wavelets – Scale-discretised, directional wavelet ILC or SILC.</p>
Spin-SILC cosmic microwave background (CMB) polarisation maps R1 of Planck PR2 data
<p>Clean maps of the CMB linear polarisation <em>E</em>/<em>B</em> and Stokes <em>Q</em>/<em>U</em> fields (as measured by Planck; public data release PR2). They are constructed with a novel internal linear combination (ILC) algorithm using spin, directional, scale-discretised wavelets – Spin, Scale-discretised, directional wavelet ILC or Spin-SILC.</p>
Concatenated Data from the Chang'E-1 and -2 Microwave Radiometers
<p>This dataset includes a binary table collecting all data released by NAOC from the Chang'E 1 and 2 Microwave Radiometers, as well as gridded, map-projected versions of those data. Please see readme.md for a detailed description of contents.</p>
ERA5 based training, validation and evaluation data for retrievals combining 22-58 GHz with 175-340 GHz microwave radiometer measurements during MOSAiC
<p>This data set is used for the training, validation and evaluation of retrievals of temperature and specific humidity profiles, as well as integrated water vapour from simlulated or measured microwave brightness temperatures (TBs), which are described in <strong>[1]</strong>.</p> <p>The data set consists of yearly files (2001-2018, 6-hourly resolution) that include data from the European Centre for Medium-Range Weather Forecasts's ERA5 reanalysis <strong>[2]</strong> and simulated TBs in the microwave spectrum. TB simulations were performed with PAMTRA <strong>[3,4]</strong> on the native ERA5 model level resolution at frequencies of a low frequency Humidity and Temperature Profiler (HATPRO, 22-58 GHz) and of a Low Humidity Profiler (LHUMPRO-243-340, aka MiRAC-P, 175-340 GHz). Afterwards, the ERA5 model level data has been interpolated to a new height grid (dimension 'z'), of which the lowest 43 indices equal the height grid of the retrieval that is developed with this data set. The upper 11 indices are included for additional TB simulations needed for the information content estimation performed and are not used for the retrievals to avoid the tropopause.</p> <p>The trained retrieval is applied to observations from the HATPRO and MiRAC-P that were installed onboard the research vessel Polarstern during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition.</p> <p><strong>[1]:</strong> Walbröl, A., Griesche, H. J., Mech, M., Crewell, S., and Ebell, K.: Combining low- and high-frequency microwave radiometer measurements from the MOSAiC expedition for enhanced water vapour products, Atmospheric Measurement Techniques, 17, 6223-6245, https://doi.org/10.5194/amt-17-6223-2024, 2024.</p> <p><strong>[2]:</strong> Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horányi, A., Muñoz-Sabater, J., Nicolas, J., Peubey, C., Radu, R., Schepers, D., Simmons, A., Soci, C., Abdalla, S., Abellan, X., Balsamo, G., Bechtold, P., Biavati, G., Bidlot, J., Bonavita, M., Chiara, G., Dahlgren, P., Dee, D., Diamantakis, M., Dragani, R., Flemming, J., Forbes, R., Fuentes, M., Geer, A., Haimberger, L., Healy, S., Hogan, R. J., Hólm, E., Janisková, M., Keeley, S., Laloyaux, P., Lopez, P., Lupu, C., Radnoti, G., Rosnay, P., Rozum, I., Vamborg, F., Villaume, S., and Thépaut, J.: The ERA5 global reanalysis, Quarterly Journal of the Royal Meteorological Society, 146, 1999–2049, https://doi.org/10.1002/qj.3803, 2020.</p> <p><strong>[3]:</strong> Mech, M., Maahn, M., Kneifel, S., Ori, D., Orlandi, E., Kollias, P., Schemann, V., and Crewell, S.: PAMTRA 1.0: the Passive and Active Microwave radiative TRAnsfer tool for simulating radiometer and radar measurements of the cloudy atmosphere, Geoscientific Model Development, 13, 4229–4251, https://doi.org/10.5194/gmd-13-4229-2020, 2020.</p> <p><strong>[4]:</strong> Mech, M., Maahn, M., Ori, D., Kneifel, S., and Orlandi, E.: PAMTRA Package – Passive and Active Microwave TRANsfer, available at: https://github.com/igmk/pamtra (last access: 6 September 2020), 2019c.</p>
Leaf moisture content (live-fuel moisture content) at global scale from passive microwave satellite observations of vegetation optical depth (VOD2LFMC)
<p><strong>Related paper:</strong> <a href="https://hess.copernicus.org/preprints/hess-2022-121/">Forkel et al. (2022)</a></p> <p>The VOD2LFMC dataset contains estimates of leaf moisture content as defined as live-fuel moisture content (LFMC) derived from passive microwave satellite observation of vegetation optical depth (VOD). LFMC is defined as the fresh mass of a leaf over the dry mass and is expressed in %:</p> <p><span class="math-tex">\(LFMC = {m_{fresh}-m_{dry}\over m_{dry}}*100\%\)</span></p> <p>LFMC was estimated from the <a href="https://doi.org/10.5281/zenodo.2575599">VODCA version 1</a> dataset of Ku-band VOD using the model approach “B” as described in Forkel et al. (2022).</p> <p>The file VOD2LFMC-B_v01_2000-2017.zip contains (unzipped ~ 57 GB):</p> <ul> <li>daily global data per month netCDF files</li> <li>a README file</li> <li>Ancillary file VOD2LFMC-B_v01_support-by-obs.nc</li> </ul> <p>Grid, time and variable definitions:</p> <ul> <li> <p>Grid-name: Geographic Lat/Lon</p> </li> <li> <p>Pixel-size: 1/4 degrees</p> </li> <li> <p>Size-x: 1440</p> </li> <li> <p>Size-y: 557</p> </li> <li> <p>Time period: February 2000 – July 2017</p> </li> <li> <p>Temporal resolution: daily</p> </li> <li> <p>Variable: Live-fuel moisture content (LFMC) in %</p> </li> <li> <p>Valid-range: 0-400%</p> </li> </ul> <p> </p>
Experimental data for Quantum noise limited microwave amplification using a graphene Josephson junction
<p>This dataset was used in our study of "Quantum noise limited microwave amplification using a graphene Josephson junction".</p>
Data and code for figures: Intrinsic Kerr amplification for microwave electromechanics
<p>This directory contains the datasets and code for generating the figures in the research article "Intrinsic Kerr amplification for microwave electromechanics", <em>Appl. Phys. Lett.</em> 124, 243503 (2024).</p>
Fano Interference in Microwave Resonator Measurements
<p>Data, Python notebooks and figures associated with the paper "Fano Interference in Microwave Resonator Measurements" by D. Rieger & S. Günzler et al. at Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany.</p> <p>The data is saved in NumPy binary compressed .npz format. The notebooks and data reproduce the figures of the manuscript. Moreover, we provide an example implementation and measurement analysis notebook for the circle fit discussed in the manuscript.</p> <p>For any additional information please contact: dennis.rieger@kit.edu, simon.guenzler@kit.edu or ioan.pop@kit.edu</p>
Microwave single scattering properties of non-spheroidal rain drops
<p>The database contains single scattering properties (SSP) of non-spheroidal droplets. They were modeled using the parameterization by Chuang and Beard (1990) which make use of Chebyshev polynomials. Spherical and spheroidal drop are also included for reference. The spheroidal drops are set to have the same aspect ratio as the Chebyshev drops.</p> <p>The frequency and temperature grid is identical to the one used for the SSP database presented in Eriksson et al. (2018). Frequencies range from 1 to 886.4 GHz and 5 temperatures from 230 to 310 K are included. Sizes range from 10 μm to 5.75 mm, with logarithmic spacing up to 1 mm and linear spacing above 1 mm in steps of 0.25 mm. Note that below 788 μm the Chebyshev drops are essentially spherical, and are therefore not included. At sizes below 788 μm the spheroidal drop SSP can be used instead.</p> <p>A manuscript (Ekelund et al., 2020) has been submitted to Atmospheric Measurement Techniques, which will serve as the main documentation of the data.</p> <p>Database Specifications:</p> <p>Format:<br> NetCDF4</p> <p>Version:<br> 1.0.0</p> <p>Shapes:<br> Chebyshev (non-spheroidal), spheroidal, sphere.</p> <p>Diameter grid (um):<br> 1.00, 1.27, 1.61, 2.04, 2.59, 3.29, 4.18, 5.30, 6.72, 8.53, 10.83, 13.74, 17.43, 22.12, 28.07, 35.62, 45.20, 57.36, 72.79, 92.37, 117.21, 148.74, 188.74, 239.50, 303.92, 385.66, 489.39, 621.02, 788.05, 1000.00, 1250.00, 1500.00, 1750.00, 2000.00, 2250.00, 2500.00, 2750.00, 3000.00, 3250.00, 3500.00, 3750.00, 4000.00, 4250.00, 4500.00, 4750.00, 5000.00, 5250.00, 5500.00, 5750.00.</p> <p>Frequency grid (GHz):<br> 1.00, 1.40, 3.00, 5.00, 7.00, 9.00, 10.00, 13.40, 15.00, 18.60, 24.00, 31.30, 31.50, 35.60, 50.10, 57.60, 88.80, 94.10, 115.30, 122.20, 164.10, 166.90, 175.30, 191.30, 228.00, 247.20, 314.20, 336.10, 439.30, 456.70, 657.30, 670.70, 862.40, 886.40.</p> <p>Temperature grid (K):<br> 230, 250, 270, 290, 310.</p> <p>References:</p> <p>Ekelund, R., Eriksson, P., and Kahnert, M.: Microwave single scattering properties of non-spheroidal rain drops, Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2020-85, in review, 2020.</p> <p>Eriksson, P., Ekelund, R., Mendrok, J., Brath, M., Lemke, O., and Buehler, S. A.: A general database of hydrometeor single scattering properties at microwave and sub-millimetre wavelengths, Earth Syst. Sci. Data, 10, 1301–1326, https://doi.org/10.5194/essd-10-1301-2018, 2018.</p>
Microwave brightness temperature of lunar south polar region
<p>These are Brightness temperature data of lunar south polar region (≤-80°) obtained by CE-2 MRM</p>
Microwave assisted freezing equipment
<p>Image representing the equipment used for microwave assisted freezing during the implementation of COLDμWAVE project.</p> <p> </p>
Surface brightness temperatures measured by the HATPRO microwave radiometer onboard the RV Polarstern during the ATWAICE expedition PS144 to the Arctic in summer 2022
<p>The data set contains daily files of raw microwave radiation measurements by the HATPRO microwave radiometer (see Rose et al., 2015) onboard about 22 m height at the top deck (starboard) of RV Polarstern during cruise PS131 (ATWAICE expedition, see Kanzow, 2023). Via a mirror construction the radiometers were observing the surface at a viewing angle of about 53° off-nadir for 15 min each hour. The actual viewing angle could vary by a few degree because of ship motion. The data covers the range July 11, 2022 to August 11, 2022. The radiation measurements are given as brightness temperatures in seven K band channels (22.24 - 31.4 GHz), vertical polarization, and seven V band (51.26 - 58 GHz) channels, horizontal polarization. </p> <p>Version 2 of the uploaded data is quality-controlled (see the flag variable).</p>
Surface brightness temperatures measured by the MiRAC-P microwave radiometer onboard the RV Polarstern during the ATWAICE expedition PS144 to the Arctic in summer 2022
<p>The data set contains daily files of raw microwave radiation measurements by the MiRAC-P (or LHUMPRO-243-340) microwave radiometer (see Mech et al., 2019) onboard about 22 m height at the top deck (starboard) of RV Polarstern during cruise PS131 (ATWAICE expedition). Via a mirror construction the radiometers were observing the surface at a viewing angle of about 53° off-nadir for 15 min each hour. The actual viewing angle could vary by a few degree because of ship motion. The data covers the range July 11, 2022 to August 11, 2022. The radiation measurements are given as brightness temperatures in six double side band averaged G band (183.31 +/- 0.6 to 183.31 +/- 7.5 GHz), vertical polarization, and one higher frequency (243 GHz) channel, horizontal polarization. The 340 GHz channel was malfunctioning. </p> <p>Version 2 of the uploaded data is quality-controlled (see the flag variable).</p>
Raw and analyzed data for manuscript "The synergistic effect of microwave drying and plasma surface treatments on the wettability of green wood"
<p><strong>Abstract:</strong></p> <p>In spite of being a one-step solution to several problems associated with woodworking and being energy efficient, the application of microwave (MW) modification in wood research remained very limited and the promising method has practically no use in wood industries across the globe. Research done so far in this field primarily sheds light on its potential in enhancing wood permeability, treatability and uniform wood drying. While MW treatments are mostly used on wet or green wood, another modification technique, plasma, has potential benefits to synergistically enhance effects of MW treatment, but has not been applied on wet or green wood specimens, so far. This study takes a first step to investigate effects of plasma treatments (PT) on green wood specimens as well as combinations of MW and plasma treatments. As a preliminary study, the methodology focuses on water contact angle measurements, since these are most commonly used as indicators for surface modifications in industrial applications. On the investigated samples of Norway spruce (<em>Picea abies</em> Karst.), an exponential time dependence was found for the contact angle. Initial contact angle after droplet deposition increased due to drying and migration of organic molecules during treatments. In comparison to the literature, the effect of plasma was significantly less pronounced on wet wood specimens. The initial contact angle showed lowest statistical variations after MW treatment, whereas plasma increased inhomogeneities. The final contact angle on treated specimens was lowest for PT-only specimens as well as specimens treated with plasma after MW. In contrast to the initial contact angle, the final contact angle showed lowest variations after PT. Wetting rates were insignificantly improved by plasma, with reduced statistical variations after all treatments.</p>
Microwave-to-optical conversion with a gallium phosphide photonic crystal cavity
<p>Electrically actuated optomechanical resonators provide a route to quantum-coherent, bidirectional conversion of microwave and optical photons. Such devices could enable optical interconnection of quantum computers based on qubits operating at microwave frequencies. Here we present a platform for microwave-to-optical conversion comprising a photonic crystal cavity made of single-crystal, piezoelectric gallium phosphide integrated on prefabricated niobium circuits on an intrinsic silicon substrate. The devices exploit spatially extended, sideband-resolved mechanical breathing modes at ~3.2 GHz, with vacuum optomechanical coupling rates of up to g<sub>0</sub>/2π ≈ 300 kHz. The mechanical modes are driven by integrated microwave electrodes via the inverse piezoelectric effect. We estimate that the system could achieve an electromechanical coupling rate to a superconducting transmon qubit of ~200 kHz. Our work represents a decisive step towards integration of piezoelectro-optomechanical interfaces with superconducting quantum processors.</p>
Simulated microwave brightness temperatures based on two radiosoundings performed during the MOSAiC expedition
<p>This data set contains simulated brightness temperatures in the microwave spectrum for a summer case and a winter case based on radiosoundings performed during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition <strong>[1]</strong>. The simulations cover the frequencies 1-400 GHz and have been performed with the Passive and Active Microwave radiative TRAnsfer model (PAMTRA, <strong>[2]</strong>). Dimensions 'grid_x', 'grid_y', 'outlevel' can be truncated as they have the length 1. To get simulated brightness tempeartures (TBs) of a zenith-looking microwave radiometer, chose the last index of the dimension 'angles' (which is zenith angle 0°) and average over the 'passive_polarization' dimension. The data has been used to generate Fig. 1 of <strong>[3]</strong>.</p> <p> </p> <p><strong>[1]:</strong> Maturilli, M., Holdridge, D. J., Dahlke, S., Graeser, J., Sommerfeld, A., Jaiser, R., Deckelmann, H., Schulz, A.: Initial radiosonde data from 2019-10 to 2020-09 during project MOSAiC [dataset publication series]. Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, PANGAEA, https://doi.org/10.1594/PANGAEA.928656, 2021.</p> <p><strong>[2]:</strong> Mech, M., Maahn, M., Kneifel, S., Ori, D., Orlandi, E., Kollias, P., Schemann, V., and Crewell, S.: PAMTRA 1.0: the Passive and Active Microwave radiative TRAnsfer tool for simulating radiometer and radar measurements of the cloudy atmosphere, Geoscientific Model Development, 13, 4229–4251, https://doi.org/10.5194/gmd-13-4229-2020, 2020.</p> <p><strong>[3]:</strong> Walbröl, A., Griesche, H. J., Mech, M., Crewell, S., and Ebell, K.: Combining low- and high-frequency microwave radiometer measurements from the MOSAiC expedition for enhanced water vapour products, Atmospheric Measurement Techniques, 17, 6223-6245, https://doi.org/10.5194/amt-17-6223-2024, 2024.</p>
Validation data for a Microwave Exposure Prototype for In Vitro Growth Inhibition of Plasmodium falciparum
<p>The dataset presented in this article revolves around the validation of an innovative irradiation device designed for <em>in vitro</em> malaria tests. The motivation stems from the escalating need for new malaria treatments due to the high mortality rates, the absence of an effective vaccine, and rising antimalarial drug resistance. The theoretical background for generating this data is based on prior studies indicating that microwave exposure can non-thermally kill malaria parasites by interacting with hemozoin crystals within infected erythrocytes, a process in which healthy cells remain unaffected, probably due to the absence of these crystals. This dataset aims to provide a thorough validation of the device's biological and electrical efficacy, by providing models to simulate various parameters such as the magnetic and electric field strength, and experimentally validate the biological effects on parasite viability under controlled microwave exposure. This contribution is pivotal for advancing research in electromagnetic therapy as a potential treatment for malaria, providing a foundational dataset for future experimental and theoretical work.</p>
ScienceDex guides
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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)
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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.