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Datasets for "Towards probing for hypercomplex quantum mechanics in a waveguide interferometer"
<p>━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━<br> DATA DESCRIPTION README FILE FOR<br> "Towards probing for hypercomplex quantum mechanics in a waveguide interferometer"</p> <p> Sebastian Gstir<br> ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</p> <p> 2021-09-07</p> <p><br> Table of Contents<br> ─────────────────</p> <p>1) Peres/Sorkin Measurements<br> 2) Interference Contrast</p> <p>With the given raw data, all figures and tables of our publication can be recreated. The data is saved in the Hierarchical Data Format (HDF5), which can be opened with various programms and programming languages like Mathematica and Python.</p> <p>The code used to process this data and perform the given shown simulations is not contained in this repository, but can be requested from the authors if required.</p> <p><br> 1) Peres/Sorkin Measurements<br> ══════════════════════════════</p> <p> The files '23degrees measurement.h5' and '30degrees measurement.h5' hold the measured raw data for a housing temperature of 23°C and 30°C, respectively (see chapter 4).<br> We measured the light passing through our chip for different shutter combinations and recorded multiple values for each combination. The set shutter combination is recorded in "/shuttercombination" as an integer (0 to 7), whose binary representation describes the state of each shutter ('0' ... close, '1' ... open). E.g. the shutter setting '3' is '011', which states that shutter A and B are open and shutter C is closed. The set of all eight settings is in this context called a cycle. As stated in the publication, we recorded multiple cycles with randomly ordered shutter settings.<br> For each shutter setting we recorded the temperature of the chip housing in "/temperature-housing" and multiple successive signals of the photodiode in "/PD signal", with the corresponding timestamps in "/time". Therefore, all datasets (PD signal, time, temperature housing and shutter setting) are three-dimensional. The first dimension is the number of shutter combinations, the second the index of measurements per combination and the third dimension is specific for each datatype (desribed by the 'unit'-attribute field of each dataset).<br> Product names of the used devices are stated in the corresponding attribute fields.<br> <br> In order to create the data given in our publication, like figure 2 and B1, we filtered the recorded data for shutter errors and outliers. The following gives the excluded cycle indices as a list sorted by shutter combination (from 0 to 7) for each measurement.<br> "23°C"-measurement: {{204, 222, 226}, Range[1, 80], {}, {}, {45, 65, 156, 226, 333, 366}, {121, 227, 341}, {46, 63, 252, 335, 376}, {}}<br> "30°C"-measurement: {{}, {186, 371}, {}, {47, 67, 149, 271, 335, 393}, {272, 444, 446}, {40, 424, 439}, {301, 410}, {51}}<br> If one cycle includes a shutter combination with an outlier or shutter error, we excluded the whole cycle.<br> <br> Note that in case of the "23°C"-measurement no housing temperature was logged, as for this specific measurement we logged the set temperature to investigate its stability. Therefore, the temperature stability given in our publication is calculated from the "30°C" measurement and an additional measurement at a housing temperature of 23°C.<br> <br> To convert the measured temperature in V to °C, we used the following specs of the used NTC:<br> R25 = 1E4, B25 = 3988, Ibias = 101.055931 1E-6</p> <p><br> 2) Interference Contrast<br> ══════════════════════════════</p> <p> The file 'interference contrast_21to35.h5' holds the measured raw data for determining the interference contrast of the setup as described in Appendix A.3.<br> This file has the same structure as described in 1) and for our analysis, we only used the thermalisation with the surrounding, which starts at cycle 27.</p> <p> </p>
Line of Sight (LOS) velocity obtained from terrestrial radar interferometer at Helheim Glacier
<p>1h-interval LOS ice flow speed processed using TRI dataset collected at Helheim Glacier in August, 2016.</p> <p> </p>
Observational data obtained with the use of the wide band radio interferometer
<p>CSV file in attachment contains two columns: "Time counted from the return stroke, ms" and "ADC output, V". This experimental data was received in the Nizhny Novgorod region of Russian Federation on May 15, 2019 with the use of the wide band radio interferometer. It can be used to obtain a waveform of the radio signal provided by the registered thundercloud radioactivity. </p>
Phase sensitivity of spatially broadband high-gain SU(1,1) interferometers
<p>Dataset of the publication [D. Scharwald, T. Meier, and P. R. Sharapova, Phase sensitivity of spatially broadband high-gain SU(1,1) interferometers, <a href="https://doi.org/10.1103/PhysRevResearch.5.043158">Phys. Rev. Research <strong>5,</strong> 043158 (2023)</a>].</p>
Dataset for article "Optimal Floquet State Engineering for Large Scale Atom Interferometers"
Open the record for dataset details and reuse information.
GHRSST Level 2P Global skin Sea Surface Temperature from the Infrared Atmospheric Sounding Interferometer (IASI) on the Metop-A satellite (GDS V2) produced by OSI SAF
A global 1 km Group for High Resolution Sea Surface Temperature (GHRSST) Level 2P dataset based on multi-channel sea surface temperature (SST) retrievals generated in real-time from the Infrared Atmospheric Sounding Interferometer (IASI) on the European Meteorological Operational-A (MetOp-A）satellite （launched 19 Oct 2006). The European Organization for the Exploitation of Meteorological Satellites (EUMETSAT),Ocean and Sea Ice Satellite Application Facility (OSI SAF) is producing SST products in near realtime from METOP/IASI. The Infrared Atmospheric Sounding Interferometer (IASI) measures inthe infrared part of the electromagnetic spectrum at a horizontal resolution of 12 km at nadir up to40km over a swath width of about 2,200 km. With 14 orbits in a sun-synchronous mid-morningorbit (9:30 Local Solar Time equator crossing, descending node) global observations can beprovided twice a day. The SST retrieval is performed and provided by the IASI L2 processor atEUMETSAT headquarters. The product format is compliant with the GHRSST Data Specification(GDS) version 2.
GHRSST Level 2P Global skin Sea Surface Temperature from the Infrared Atmospheric Sounding Interferometer (IASI) on the Metop-B satellite (GDS V2) produced by OSI SAF
A Group for High Resolution Sea Surface Temperature (GHRSST) Level 2P dataset based on multi-channel sea surface temperature (SST) retrievals generated in real-time from the Infrared Atmospheric Sounding Interferometer (IASI) on the European Meteorological Operational-B (MetOp-B)satellite (launched 17 Sep 2012). The European Organization for the Exploitation of Meteorological Satellites (EUMETSAT),Ocean and Sea Ice Satellite Application Facility (OSI SAF) is producing SST products in near realtime from METOP/IASI. The Infrared Atmospheric Sounding Interferometer (IASI) measures inthe infrared part of the electromagnetic spectrum at a horizontal resolution of 12 km at nadir up to40km over a swath width of about 2,200 km. With 14 orbits in a sun-synchronous mid-morningorbit (9:30 Local Solar Time equator crossing, descending node) global observations can beprovided twice a day. The SST retrieval is performed and provided by the IASI L2 processor atEUMETSAT headquarters. The product format is compliant with the GHRSST Data Specification(GDS) version 2.
First ISCCP Regional Experiment (FIRE) Cirrus 2 High-Resolution Interferometer Sounder (HIS) Data
The First ISCCP Regional Experiments have been designed to improve data products and cloud/radiation parameterizations used in general circulation models (GCMs). Specifically, the goals of FIRE are (1) to seek the basic understanding of the interaction of physical processes in determining life cycles of cirrus and marine stratocumulus systems and the radiative properties of these clouds during their life cycles and (2) to investigate the interrelationships between ISCCP data, GCM parameterizations, and higher space and time resolution cloud data. To-date, four intensive field-observation periods were planned and executed: a cirrus IFO (October 13 - November 2, 1986); a marine stratocumulus IFO off the southwestern coast of California (June 29 - July 20, 1987); a second cirrus IFO in southeastern Kansas (November 13 - December 7, 1991); and a second marine stratocumulus IFO in the eastern North Atlantic Ocean (June 1 - June 28, 1992). Each mission combined coordinated satellite, airborne, and surface observations with modeling studies to investigate the cloud properties and physical processes of the cloud systems.The High-resolution Interferometer Sounder (HIS) was flown on board the NASA ER-2 aircraft during FIRE Cirrus Phase II in Coffeyville, Kansas. The HIS measured upwelling calibrated radiances and was positioned to to capture a nadir view along the ER-2 flight tracks.
Raw data: A thermal infrared hyperspectral camera based on a birefringent interferometer
<p>In this repository we publish the raw data for the paper "A thermal infrared hyperspectral camera based on a birefringent interferometer"</p> <p>Data types:</p> <ul> <li> <p><strong>QCLs</strong><br><strong>t5</strong>: motor positions used to sample the interferogram of QCL at 5.263 µm [mm]<br><strong>Int5</strong>: corresponding intensity values of the interferogram of QCL at 5.263 µm as absolute value of the trace of the lock-in detector connected to the MCT [arbitrary counts]<br><strong>t7</strong>: motor positions used to sample the interferogram of QCL at 7.675 µm [mm]<br><strong>Int7</strong>: corresponding intensity values of the interferogram of QCL at 7.675 µm as absolute value of the trace of the lock-in detector connected to the MCT [arbitrary counts]<br><strong>t9</strong>: motor positions used to sample the interferogram of QCL at 9.073 µm [mm]<br><strong>Int9</strong>: corresponding intensity values of the interferogram of QCL at 9.073 µm as absolute value of the trace of the lock-in detector connected to the MCT [arbitrary counts]<br><strong>t9_short</strong>: motor positions used to sample the interferogram of QCL at 9.073 µm (shorter scan with smaller step) [mm]<br><strong>Int9_short</strong>: corresponding intensity values of the interferogram of QCL at 9.073 µm as absolute value of the trace of the lock-in detector connected to the MCT (shorter scan with smaller step) [arbitrary counts]</p> </li> <li> <p><strong>DFG_orig</strong><br><strong>tDFG</strong>: motor positions used to sample the DFG signal [mm]<br><strong>IntDFG</strong>: corresponding intensity values of the DFG signal as absolute value of the trace of the lock-in detector connected to the MCT [arbitrary counts]</p> </li> <li> <p><strong>DFG</strong><br><strong>tDFG</strong>: motor positions used to sample the DFG signal, delay corrected, cropped, and centered [mm]<br><strong>IntDFG</strong>: corresponding intensity values of the DFG signal as absolute value of the trace of the lock-in detector connected to the MCT, low-frequency corrected, inverted and normalized to the mean [arbitrary counts]</p> </li> <li> <p><strong>Kanthal_orig<br>tKanthal</strong>: motor positions used to sample the Kanthal signal [mm]<br><strong>IntKanthal</strong>: corresponding intensity values of the Kanthal signal as absolute value of the trace of the lock-in detector connected to the MCT [arbitrary counts]</p> </li> <li> <p><strong>Kanthal<br>tKanthal</strong>: motor positions used to sample the Kanthal signal [mm]<br><strong>IntKanthal</strong>: corresponding intensity values of the Kanthal signal as absolute value of the trace of the lock-in detector connected to the MCT, linearly detrended, inverted and normalized to the mean [arbitrary counts]</p> </li> <li> <p><strong>Quartz</strong><br><strong>t</strong>: motor positions used to sample the quartz emission [mm]<br><strong>HyperMatrix</strong>: temporal hypercube of the quartz emission containing one bolometer image for every motor position [arbitrary counts]</p> </li> <li> <p><strong>Filters</strong><br><strong>t_Filters</strong>: motor positions used to sample the filters transmitted light [mm]<br><strong>HyperMatrix_Filters</strong>: temporal hypercube of the filters transmitted light containing one bolometer image for every motor position [arbitrary counts]</p> </li> <li> <p><strong>Hotplate</strong><br><strong>t_Hotplate</strong>: motor positions used to sample the hotplate emission [mm]<br><strong>HyperMatrix_Hotplate</strong>: temporal hypercube of the hotplate emission containing one bolometer image for every motor position [arbitrary counts]</p> </li> </ul>
Readout of quantum devices with a sideband microwave interferometer immune to systematic noise
<p>supporting data from paper 'Readout of quantum devices with a sideband microwave interferometer immune to systematic noise' by N. Crescini, E.G. Kelly, G. Salis and A. Fuhrer</p>
Reproducibility of LipiView Ocular Surface Interferometer (LipiView) for Measuring Tear Lipid Layer Thickness
ClinicalTrials.gov study NCT01933165. IPD Sharing: Not stated. Countries: 1. Publications: 0.
FIREX-AQ ER-2 Remotely Sensed National Polar - Orbiting Operational Environmental Satellite System Airborne Sounder Testbed - Interferometer (NAST-I) Data
FIREXAQ_ TraceGasAircraftRemoteSensing_ER2_NASTI_Data are remotely sensed measurements collected by the National Polar-Orbiting Operational Environmental Satellite System Airborne Sounder Testbed-Interferometer (NAST-I) onboard the ER-2 aircraft during FIREX-AQ. Data collection for this product is complete.Completed during summer 2019, FIREX-AQ utilized a combination of instrumented airplanes, satellites, and ground-based instrumentation. Detailed fire plume sampling was carried out by the NASA DC-8 aircraft, which had a comprehensive instrument payload capable of measuring over 200 trace gas species, as well as aerosol microphysical, optical, and chemical properties. The DC-8 aircraft completed 23 science flights, including 15 flights from Boise, Idaho and 8 flights from Salina, Kansas. NASA’s ER-2 completed 11 flights, partially in support of the FIREX-AQ effort. The ER-2 payload was made up of 8 satellite analog instruments and provided critical fire information, including fire temperature, fire plume heights, and vegetation/soil albedo information. NOAA provided the NOAA-CHEM Twin Otter and the NOAA-MET Twin Otter aircraft to measure chemical processing in the lofted plumes of Western wildfires. The NOAA-CHEM Twin Otter focused on nighttime plume chemistry, from which data is archived at the NASA Atmospheric Science Data Center (ASDC). The NOAA-MET Twin Otter collected measurements of air movements at fire boundaries with the goal of understanding the local weather impacts of fires and the movement patterns of fires. NOAA-MET Twin Otter data will be archived at the ASDC in the future. Additionally, a ground-based station in McCall, Idaho and several mobile laboratories provided in-situ measurements of aerosol microphysical and optical properties, aerosol chemical compositions, and trace gas species. The Fire Influence on Regional to Global Environments and Air Quality (FIREX-AQ) campaign was a NOAA/NASA interagency intensive study of North American fires to gain an understanding on the integrated impact of the fire emissions on the tropospheric chemistry and composition and to assess the satellite’s capability for detecting fires and estimating fire emissions. The overarching goal of FIREX-AQ was to provide measurements of trace gas and aerosol emissions for wildfires and prescribed fires in great detail, relate them to fuel and fire conditions at the point of emission, characterize the conditions relating to plume rise, and follow plumes downwind to understand chemical transformation and air quality impacts.
UARS Wind Imaging Interferometer (WINDII) Level 3AT V011 (UARWI3AT) at GES DISC
The Wind Imaging Interferometer (WINDII) Level 3AT data product consists of daily, 65.536 second interval time-ordered vertical profiles of meridional and zonal wind components, and temperature. The instrument was a Michelson interferometer designed to measure Doppler shifts of spectral lines in the visible between 550 and 780 nm. WINDII was flown on NASA's Upper Atmosphere Research Satellite (UARS) and designed to measure wind, temperature and emission rates in the mesosphere and thermosphere between 80 and 300 km at about 5 km resolution. Data were collected between latitude 40S and 72N and 72S and 40N, alternating each satellite yaw cycle of about 36 days. The WINDII Level 3AT data were processed with the version 11 algorithm. The WINDII level 3AT product consists of 3 granules per day. A data granule is one WINDII species or subtype per day. Data are on the UARS standard altitude levels (in km) given by: z(i) = 5*i for 1 <= i <= 12 z(i) = 60 + (i-12)*3 for 13 <= i <= 32 z(i) = 120 + (i-32)*5 for 33 <= i <= 88 Each of the 3 WINDII granules is accompanied by an additional parameter file, designated as level 3TP. The parameter file, contains additional ancillary and quality information not found in the 3AT files. The data files are available in a binary record oriented format.
GOES-R PLT Scanning High-Resolution Interferometer Sounder (S-HIS) V1
The GOES-R PLT Field Campaign Scanning High-Resolution Interferometer Sounder (S-HIS) dataset consists of emitted thermal radiances measured by the Scanning High-resolution Interferometer Sounder (S-HIS) flown aboard a NASA ER-2 high-altitude aircraft during the GOES-R Post Launch Test (PLT) field campaign. The GOES-R PLT airborne science field campaign took place between March 21 and May 17, 2017 in support of the post-launch product validation of the Advanced Baseline Imager (ABI) and the Geostationary Lightning Mapper (GLM). Data files in netCDF-3 format are available for March 21, 2017 through May 17, 2017.
CAMEX-3 ATMOSPHERIC EMITTED RADIANCE INTERFEROMETER (AERI) V1
The Atmospheric Emitted Radiance Interferometer (AERI) was used to make atmospheric temperature and moisture retrievals. AERI provides absolutely calibrated radiances which can be used for forward calculation comparisons of radiosonde and LIDAR (for CAMEX-3, the SRL) profiles and provides a reference to the airborne and ground based remote sensing instruments. Additionally, AERI radiances contain valuable temperature and water vapor information which can be used to retrieve planetary boundary layer thermodynamics. The University of Wisconsin-Madison, Space Science and Engineering Center was responsible for the AERI data collection during CAMEX-3 campaign.
Hurricane and Severe Storm Sentinel (HS3) Scanning High-Resolution Interferometer Sounder (S-HIS) V1
The Hurricane and Severe Storm Sentinel (HS3) Scanning High-Resolution Interferometer Sounder (S-HIS) measures emitted thermal radiances that are used to obtain temperature and water vapor profiles of the Earth's atmosphere in clear-sky conditions. Due to the S-HIS scanning capability, the instrument provides 2 km resolution (at nadir) across a 40 km wide ground swath when flown at an altitude of 20 km onboard the NASA Global Hawk unmanned aircraft. S-HIS data were collected during the 5-week HS3 field campaign study periods in the 2012 to 2014 Atlantic hurricane seasons.
FIREX-AQ ER-2 Scanning High-Resolution Interferometer Sounder (S-HIS)
FIREXAQ_TraceGas_AircraftRemoteSensing_ER2_SHIS_Data are remotely sensed measurements collected by the Scanning High-Resolution Interferometer Sounder (S-HIS) onboard the ER-2 aircraft. Data collection for this product is complete.Completed during summer 2019, FIREX-AQ utilized a combination of instrumented airplanes, satellites, and ground-based instrumentation. Detailed fire plume sampling was carried out by the NASA DC-8 aircraft, which had a comprehensive instrument payload capable of measuring over 200 trace gas species, as well as aerosol microphysical, optical, and chemical properties. The DC-8 aircraft completed 23 science flights, including 15 flights from Boise, Idaho and 8 flights from Salina, Kansas. NASA’s ER-2 completed 11 flights, partially in support of the FIREX-AQ effort. The ER-2 payload was made up of 8 satellite analog instruments and provided critical fire information, including fire temperature, fire plume heights, and vegetation/soil albedo information. A ground-based mobile lab provided in-situ measurements of aerosol microphysical and optical properties, aerosol chemical compositions, and trace gas species.The Fire Influence on Regional to Global Environments and Air Quality (FIREX-AQ) campaign was a NOAA/NASA interagency intensive study of North American fires to gain an understanding on the integrated impact of the fire emissions on the tropospheric chemistry and composition and to assess the satellite’s capability for detecting fires and estimating fire emissions. The overarching goal of FIREX-AQ was to provide measurements of trace gas and aerosol emissions for wildfires and prescribed fires in great detail, relate them to fuel and fire conditions at the point of emission, characterize the conditions relating to plume rise, and follow plumes downwind to understand chemical transformation and air quality impacts.
UARS Wind Imaging Interferometer (WINDII) Level 3AL V011 (UARWI3AL) at GES DISC
The Wind Imaging Interferometer (WINDII) Level 3AL data product consists of daily, 4 degree increment latitude-ordered vertical profiles of meridional and zonal wind components, and temperature. The instrument was a Michelson interferometer designed to measure Doppler shifts of spectral lines in the visible between 550 and 780 nm. WINDII was flown on NASA's Upper Atmosphere Research Satellite (UARS) and designed to measure wind, temperature and emission rates in the mesosphere and thermosphere between 80 and 300 km at about 5 km resolution. Data were collected between latitude 40S and 72N and 72S and 40N, alternating each satellite yaw cycle of about 36 days. The WINDII Level 3AL data were processed with the version 11 algorithm. The WINDII level 3AL product consists of 3 granules per day. A data granule is one WINDII species or subtype per day. Data are on the UARS standard altitude levels (in km) given by: z(i) = 5*i for 1 <= i <= 12 z(i) = 60 + (i-12)*3 for 13 <= i <= 32 z(i) = 120 + (i-32)*5 for 33 <= i <= 88 Each of the 3 WINDII granules is accompanied by an additional parameter file, designated as level 3LP. The parameter file, contains additional ancillary and quality information not found in the 3AL files. The data files are available in a binary record oriented format.
Nonequilibrium Andreev resonances in ballistic graphene Andreev interferometers
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ICON Michelson Interferometer for Global High-resolution Thermospheric Imaging Viewing Direction A Temperature
MIGHTI samples the O2 A band spectral region at five different wavelengths in order to both measure the shape of the band and to specify a background radiance that is subtracted from the signal. The wavelengths of the filter passbands are selected to maximize the sensitivity to lower thermospheric temperature variations. The temperature measurement is accomplished by a multichannel photometric measurement of the spectral shape of the molecular oxygen A-band around 762 nm wavelength. For each field of view, the signals of the two oxygen lines and the A-band are detected on different regions of a single, cooled, frame transfer charge coupled device (CCD) detector. Two filter channels sample either end of the band to define a background (754.1 nm and 780.1 nm) and three more sample its shape (760.0 nm, 762.8 nm and 765.2 nm). Using three filters that sample the band shape allows the simultaneous retrieval of the atmospheric temperature and common shifts in the center wavelengths of the pass bands due to thermal drifts of the filters. On-board calibration sources are used to periodically quantify thermal drifts, simultaneously with observing the atmosphere.
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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.