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HONO observations at the Corsica island

HONO observations during the 2013 ChArMEx field campaig at the Corsica Island

Contribution function for the GOLD disk temperature observations

Contribution function for the GOLD disk temperature observations. These are valid for low-solar activity condition. The contents of netCDF files are as follows: dimensions:     n_alts = 91 ;     n_szas = 6 ; variables:     float sol_zen(n_szas) ;         sol_zen:units = "degree" ;         sol_zen:long_name = "Solar Zenith Angle" ;     float altitude(n_alts) ;         altitude:units = "km" ;         altitude:long_name = "Geometric altitude" ;     float CF(n_szas, n_alts) ;         CF:units = "unitless" ;         CF:long_name = "Normalized Contribution Function" ; // global attributes:         :description = "Contribution Function for the GOLD Tdisk at low solar activity condition; Courtesy: J. S. Evans, CPI" ;         :history = "Created 2023-01-26 17:23:54.900047" ;

Data for "Including ash in UKESM1 model simulations of the Raikoke volcanic eruption reveal improved agreement with observations" by Wells et al., 2023

Data used for figures in "Including ash in UKESM1 model simulations of the Raikoke volcanic eruption reveal improved agreement with observations" by Wells et al., 2023 See https://github.com/awells96/Raikoke for code to reproduce the figures.

Google Street View vehicle-based mobile air quality observations in Salt Lake City (May 2019-March 2020)

Google Street View (GSV) mobile air quality data collected in Salt Lake City as part of an Environmental Defense Fund-supported project that took place between May 2019 and March 2020.   The data collection, resolved at 1-second frequency, was carried out with two GSV vehicles. The data is in a single CSV (comma-separated value) text file.

Regular rotation and low turbulence in a diverse sample of z~4.5 galaxies observed with ALMA

Clean [CII] line-emission datacubes, parameter files and outputs of 3DBarolo.

Targeted Balloon Observations of Stratosphere-to-Troposphere Transport From a Mesoscale Convective System

Data used for analysis in the JGR-Atmospheres Paper Targeted Balloon Observations of Stratosphere-to-Troposphere Transport From a Mesoscale Convective System. Files include ozonesonde data, gridded radar data, and backward trajectory calculations.

opencc-zeroFeb 2023View details →

dryad36/100

Data for: Neural basis of social influence of observing other's perception in dot-number estimation

This functional magnetic resonance imaging study reports the neural basis of the social influence of observing others' perceptions in dot-number estimation. We found that the medial prefrontal cortex (MPFC) was associated with the detection of the self-other discrepancy. The posterior part of MPFC was especially functionally connected with the right superior parietal lobule (SPL), which is sensitive to numerical perception. The SPL activation was modulated after observing others' perceptions in the dot-number estimation task. Furthermore, the multivariate pattern analysis showed that the spatial activity patterns altered after the observation. These suggest that the MPFC detects the self-other discrepancy of numerical perception and communicates with the number-sensitive SPL, and triggers the modulation of the activation in the SPL.

RT Dataset -- Updated radiative transfer model for Titan in the near-infrared wavelength range: Validation against Huygens atmospheric and surface measurements and application to the Cassini/VIMS observations of the Dragonfly landing area

This dataset contains all Radiative Transfer (RT) results made for the paper. The data are stored in 5 zipped-folders names with the Cassini/VIMS cube flyby and id, or explicitly for Huygens/ULIS calibrated observations: <ul> <li>TB_C1481624349_1</li> <li>T40_C1578266417_1</li> <li>T38_C1575509158_1</li> <li>T40_C1578263500_1</li> <li>T40_C1578263152_1</li> <li>ULIS_observations</li> </ul> The TB_C1481624349_1 folder contains the Cassini/VIMS cube over HLS, the HLS end-member (End_member.txt), the surface albedo retrieved by Karkoschka et al. (2016) corrected for the photometry (HLS_Karkoschka_2016_spectrum.txt), and the inverted surface albedo (Surface_albedo.txt). In these folders, each VIMS pixel is stored in a .txt file with the following pattern: <CUBE_ID>_<PIXEL_SAMPLE>_<PIXEL_LINE> .txt It starts with a header describing the observation:  <ul> <li>CUBE_ID: the VIMS cube id (`C1234567890_1` format)</li> <li>SAMPLE: the pixel sample number.</li> <li>LINE: the pixel line number.</li> <li>LONG: the pixel longitude (in degree).</li> <li>LAT: the pixel latitude (in degree).</li> <li>INC: the surface incident angle (in degree).</li> <li>EMI: the surface emergent angle (in degree).</li> <li>PHASE: the surface phase angle (in degree).</li> </ul> For the Selk crater cubes (T40_C1578266417_1, T38_C1575509158_1, T40_C1578263500_1, T40_C1578263152_1), the header also contains the spatial sampling and the radiative transfer model outputs:  <ul> <li>Spatial sampling (km/pix).</li> <li>Fh: the haze scaling factor.</li> <li>Fm: the mist scaling factor.</li> <li>1-sigma (Fh): the 1-sigma uncertainty on Fh.</li> <li>1-sigma (Fm): the 1-sigma uncertainty on Fm.</li> <li>Reduced chi2: the reduced chi2. </li> </ul> Then contains the observed spectra: <ul> <li>Column 1: the VIMS channel central wavelength (in micrometers).</li> <li>Column 2: the VIMS pixel I/F.</li> <li>Column 3: the VIMS pixel I/F 1-sigma uncertainty. </li> </ul> For the Selk crater cubes (T40_C1578266417_1, T38_C1575509158_1, T40_C1578263500_1, T40_C1578263152_1), 3 columns are added for:  <ul> <li>Column 4: the surface albedo.</li> <li>Column 5: the upper 1-sigma uncertainty on the surface albedo.</li> <li>Column 6 : the lower 1-sigma uncertainty on the surface albedo.</li> </ul> The ULIS folder contains the Huygens/ULIS calibrated observations (in I/F) and the simulations with 1-sigma uncertainties as a function of the altitude (in km): <ul> <li>Column 1: the VIMS channel central wavelength (in micrometers), stopped at the end of the Huygens/ULIS wavelength range.</li> <li>Column 2: the ULIS I/F.</li> <li>Column 3 : the simulated I/F.</li> <li>Column 4: the lower 1-sigma uncertainty on the simulation.</li> <li>Column 5 : the upper 1-sigma uncertainty on the simulation.</li> </ul>

Observation of mating behavior in giant sea spiders (Pycnogonida: Colossendeidae)

Close-up view of the mating behavior in Colossendeis sp. captured during E/V Nautilus expedition NA137 on high-definition ROV video at a depth of ~1700 m on an unnamed seamount located ~70 km north of Kingman Reef (Dive H1911, 7.06750°N, 162.53226°W, 27 March 2022), within the Pacific Remote Islands Marine National Monument. The expedition was supported by NOAA Ocean Exploration through the Ocean Exploration Cooperative Institute, and executed under permit 12543-22002 authorized by the U.S. Fish and Wildlife Service. Video courtesy of Ocean Exploration Trust.

opencc-by-4.0Aug 2003View details →

Fig. 2 in Peripatopsidae (Onychophora) from New Zealand - observations on selected morphs of the 'Peripatoides novaezealandiae-complex' in culture: morphological and reproductive aspects

Fig. 2. Head of Monckton male, lateral view (20 x).

opencc-by-4.0May 2013View details →

Fig. 2 in Observations on the bloom-forming jellyfish Crambionella stuhlmanni (Chun, 1896) in the St Lucia Estuary, South Africa

Fig. 2. Map of the St Lucia estuarine lake, showing the main basins and stations within the system.

A microwave link simulation dataset for rainfall observation applications

A microwave link simulation dataset is developed for theoretical research of rainfall observation applications. The dataset is built based on electromagnetic propagation theory attenuation effects with measured raindrop size distribution data from a PARSIVEL disdrometer and air temperature, air pressure and humidity data from nearby weather stations. Frequencies from 6 to 180 GHz, horizontal or vertical polarization, link lengths from 0.1 km to 20 km, and quantization resolutions from 0 to 1 dB are all fully considered for various existing and future complications. The dataset can be utilised to validate the performance of the microwave link-based rainfall inversion process algorithm in various equipment configurations and to assess the potential of microwave link-based rainfall monitoring technology in future high-frequency communication infrastructure conditions on a theoretical level with a very low cost.

Local ground-based geophysical observation data (Borehole tilt, broadband seismic, and infrasound) accompanying the 2018 phreatic eruption at Kusatsu-Shirane volcano (Motoshirane)

A geophysical observation dataset (borehole tilt, broadband seismic, infrasound, and GNSS displacement) accompanying the 2018 phreatic eruption at the Motoshirane cone of the Kusatsu-Shirane volcano. The data was obtained by the local geophysical observation network operated by Kusatsu-Shirane Volcano Observatory, Tokyo Institute of Technology. All time is JST (UTC+9). Terada et al. (2021), Yamada et al. (2021), and Yamada et al. (submitted) describe station locations and instrumentations.   Tilt (text files: 20190123_stn_1_Hz.txt) format:  yy/mm/dd hour:min   sec   NS tilt   EW tilt   Broadband seismic and infrasound waveforms (sac files) (ex: 1801230950_stn_cmp.s) *stn: station name *cmp: component   GNSS displacement (pos file) (ex: stn1030_0591.pos) *stn: station name Displacements are calculated by kinematic analysis using 960591 (a GNSS station operated by Geospatial Information Authority of Japan) as a base station. The kinematic analysis was performed on RTKLIB (ver. 2.4.2, Takasu, 2013). See the header for each file for detail.     References   Terada, A., Kanda, W., Ogawa, Y., Yamada, T., Yamamoto, M., Ohkura, T., et al. (2021). The 2018 phreatic eruption at Mt . Motoshirane of Kusatsu – Shirane volcano, Japan: Eruption and intrusion of hydrothermal fluid observed by a borehole tiltmeter network. Earth, Planets and Space, 73. <a href="https://doi.org/10.1186/s40623-021-01475-4">https://doi.org/10.1186/s40623-021-01475-4</a>   Takasu, T. (2013), RTKLIB: An Open Source Program Package for GNSS Positioning.   Yamada, T., Kurokawa, A. K., Terada, A., Kanda, W., Ueda, H., Aoyama, H., et al. (2021). Locating hydrothermal fluid injection of the 2018 phreatic eruption at Kusatsu-Shirane volcano with volcanic tremor amplitude. Earth, Planets and Space, 73(1), 1–15. https://doi.org/10.1186/s40623-020-01349-1

opencc-by-4.0Sep 2022View details →

Relative Phase Data to 'Experimental observation of curved light-cones in a quantum field simulator', arXiv:2209.09132

Relative phase profiles and averaged density profiles for the results shown in  arXiv:2209.09132 Each file "phase_and_mean_density_scan_X.mat" contains data for a measurement presented in the manuscript, where "X" is the corresponding scan number. The following table shows the relevant scan number to measurement descriptions mentioned in the manuscript (see Table S1 in the SI Appendix). <table align="center"> <thead> <tr> <th scope="col">Measurement description</th> <th scope="col">Scan number</th> </tr> </thead> <tbody> <tr> <td>     Homogeneous (main text) </td> <td>    9185</td> </tr> <tr> <td>     Inhomogeneous with sharp edges  </td> <td>    10419</td> </tr> <tr> <td>     Inhomogeneous with smoothed edges </td> <td>    8935</td> </tr> <tr> <td>     Homogeneous 2 (SI Appendix) </td> <td>    10455</td> </tr> </tbody> </table>   File Contents Each file contains the following variables: <ul> <li>"phase": A MATLAB cell containing all the phase profiles for every time step. Thus, "phase{t_ind}" is a matrix where rows represent experimental realizations and columns the spatial grid points. For example, "phase{5}(1,:)" would be a one-dimensional phase profile, representing the first realization of the fifth time step. To learn more about the extraction of phase profiles, read Section 2 and see Fig. S5 in SI Appendix.</li> <li>"z_grid_phase_si": Vector. Grid points for phase profiles in SI units (m).</li> <li>"averaged_density_si": Vector. Averaged initial linear density in SI units (m^-1). See Fig. 1(a).</li> <li>"z_grid_density_si": Vector. Grid points for averaged density in SI units (m).</li> <li>"times_si": Vector. Time points in SI units (s).</li> </ul>   Matlab script calculating the velocity field In addition to the data, a MATLAB script (velocity_field_calculation.m) loads a data file and calculates the velocity field and its correlations following the equations in the manuscript: <ul> <li>"u": MATLAB cell. Velocity field for every time step.</li> <li>"u_u_corr": MATLAB cell. Second-order correlations of the velocity field for every time step.</li> <li>"std_u_u_corr": MATLAB cell. Standard deviation of second-order correlations of the velocity field for every time-step.</li> </ul> Finally, the script plots "u_u_corr" for all the time steps and plots the averaged linear density.

Derivative products from "Spherical Harmonic Representation of Energetic Neutral Atom Flux Components Observed by IBEX" by Swaczyna, Dayeh, & Zirnstein

This dataset includes derivative data products obtained using the method described in: Swaczyna, Dayeh, & Zirnstein (2023), Spherical Harmonic Representation of Energetic Neutral Atom Flux Components Observed by IBEX The products have been derived from IBEX Data Release #16 (https://ibex.princeton.edu/DataRelease16).  <ul> <li>hvset_tabular_ram_cg.zip - results for ram-only Compton-Getting and survival probability corrected IBEX maps</li> <li>hvset_tabular_antiram_cg.zip - results for antiram-only Compton-Getting and survival probability corrected IBEX maps</li> </ul> Each archive includes the following files: <ul> <li>com_flux_yyyy_esa_e.txt - reconstructed flux map from spherical harmonic coefficients using the standard IBEX pixelization</li> <li>com_fvar_yyyy_esa_e.txt - reconstructed flux variance map from spherical harmonic coefficients using the standard IBEX pixelization</li> <li>com_ylm_coeff_yyyy_esa_e.txt - coefficients of the spherical harmonic representation</li> <li>com_ylm_mat_yyyy_esa_e.txt - covariance matrix providing uncertainties of the coefficients</li> <li>mask_ribbon_esa_e.txt - ribbon mask</li> <li>matrix_y.txt - matrix transforming the spherical harmonic coefficients into values in IBEX pixels</li> </ul> where: <ul> <li>com - indicate the included component of the ENA flux: <ul> <li>gdf - Globally DIstirbuted Flux</li> <li>rib - IBEX ribbon</li> <li>tot - both components (total maps)</li> </ul> </li> <li>e - enumerates IBEX energy steps (e = 2, 3, ... 6)</li> <li>yyyy - indicates map year (yyyy = 2009, 2010, ..., 2019 or 'single' for the time-combined map)</li> </ul>

INTEGRAL observations of Terzan 5 X-3

This is the data set behind the astronomer's telegram #15921. https://www.astronomerstelegram.org/?read=15921 We report on X-ray spectral analysis of the transient source newly reported by MAXI in the direction of the globular cluster Terzan 5: MAXI J1747-249 (ATeL #<a href="https://www.astronomerstelegram.org/?read=15917">15917</a>), identified as Swift J174805.3-244637 or Terzan 5 X-3 (ATeL #<a href="https://www.astronomerstelegram.org/?read=15919">15919</a>). The IBIS/ISGRI and JEM-X1 instruments detected, at a significance exceeding 20 σ (IBIS), a transient X-ray source at RA=267.01 and Dec=-24.78, a location compatible with the one of Swift J174805.3-244637. We exploit the publicly available observations of this target performed between 2023-02-25 at 13:39 UT and 2023-02-27 at 16:18 to obtain a preliminary broad-band spectrum that can be described by an absorbed power law with spectral index Γ=2.77±0.09, nH=13±7 ×1022 cm-2 and 20-100 keV flux of ~2×10-9 erg/s/cm2 or about 100 mCrab (uncertainties are at 90% confidence level). The net exposure by IBIS/ISGRI is 30 ks and 19 ks for JEM-X. With the inclusion of the Swift spectra accumulated on 2023-02-28 between 19:53 and 20:03, the preferred model is a power law with exponential cutoff with parameters nH=3.9±0.6 ×1022 cm-2, Γ=1.45(-0.12, +0.22), EC=6(-2,+3) keV, EF=34(-5, +8) keV. The relative normalizations have been left to vary between observations and are suggestive of a flux increase with time: the 1-6 keV power-law unabsorbed flux increased from 10-9 to 2×10-9 erg/s/cm2 from 25 to 28 February 2023. This analysis made use of the <a href="https://www.astronomerstelegram.org/">MMODA platform</a>. INTEGRAL products have been posted at <a href="https://www.astro.unige.ch/mmoda/gallery/node/16127">this URL</a> (available to registered users). Further INTEGRAL observations of the region around this source are expected in the coming days.

opencc-by-4.0Mar 2023View details →

EMIC-driven precipitation events observed by ELFIN, using proton precipitation as a proxy for EMIC waves

This dataset lists the time intervals of the precipitation events observed by ELFIN nearby proton precipitation (a proxy for EMIC waves). This dataset is analyzed in the paper "Electron Precipitation Observed by ELFIN Using Proton Precipitation as a Proxy for Electromagnetic Ion Cyclotron (EMIC) Waves", currently under review in Geophysical Research Letters.

dryad36/100

Data for: Intercomparison of commercial analyzers for atmospheric ethane and methane observations

Methane (CH4) is a strong greenhouse gas that has become the focus of climate mitigation policies in recent years. Ethane / methane ratios can be used to identify and partition the different sources of methane, especially in areas with natural gas mixed with biogenic methane emissions, such as cities. We assessed the precision, accuracy, and selectivity of three commercially available laser-based analyzers that have been marketed as measuring instantaneous dry mole fractions of methane and ethane in ambient air. The Aerodyne SuperDUAL instrument performed best of the three instruments but it requires expertise to operate and space for the large footprint. The Aeris Mira Ultra LDS analyzer also performed well for the price point and small footprint but required characterization of the water vapor dependence of reported concentrations and careful setup for use. The Picarro G2210-i precisely measured methane but it did not detect the 10 ppbv increases in ambient ethane detected by the other two instruments when sampling a plume of incompletely combusted natural gas. For long-term tower deployments or those with large mobile laboratories, the Aerodyne SuperDUAL provides the best precision for methane and ethane. For smaller mobile platforms, the Aeris MIRA is a more compact analyzer, and with careful use, can quantify thermogenic methane sources to sufficient precision for short term deployments in urban or oil and gas areas. We weighed the advantages of each instrument, including size, power requirement, ease of use on mobile platforms, and expertise needed to operate the instrument, and we recommend the Aerodyne SuperDUAL or the Aeris MIRA Ultra LDS depending on the situation.

opencc-zeroMar 2023View details →

opencc-by-4.0Mar 2023View details →

SPIRIT Checklist & Model Consent for 'Predicting Acute and Post-Recovery Outcomes in Cerebral Malaria and Other Comas by Optical Coherence Tomography (OCT in CM) – A protocol for an observational cohort study of Malawian children'

This dataset contains the SPIRIT checklist (adapted to a observational trial) and model consent forms for the OCT in CM study protocol. The protocol will be submitted as a paper to Wellcome Open Research.