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Data Tables for Manuscript on Developing a LAI PrEP Campaign for Latino MSM
No full textEnclosed are all the quotes used to support our main themes and the corresponding codebook
Replication Data for: Measurement of the Alfvén wave parametric decay instability growth rate
No full textPlotting routines and data to recreate figures from: S. Dorfman, F. Li, X. Fu, S. Vincena, P. Pribyl, and T. A. Carter, “Measurement of the Alfvén wave parametric decay instability growth rate,” Phys. Rev. Lett., p., Feb. 2026, doi: 10.1103/qc7s-scbk. See the included README.TXT for additional details
Routines_For_PSD_Chorus_Electron_Density
No full textThis houses the routines used to create the figures and process data for the PSD Chorus/Electron Density Pape
Codebook for Manuscript on Developing LAI PrEP Campaign for Latino MSM
No full textEnclosed is the codebook used to code Latino MSM focus group transcripts
Autopsies from The Coroner's Silence
No full textThis dataset contains all autopsy reports for individuals whose stories are highlighted in The Coroner's Silence. These autopsy reports were purchased from medical examiner offices in California and Pennsylvania. The dataset also contains documents related to an inquest, which is a judicial inquiry that aims to identify the cause and manner of a death.
While autopsy reports and inquest documents are public record in both California and Pennsylvania, barriers such as paywalls and arduous request processes often prevent the public from accessing these reports. Therefore, we publish these reports to expand access to these public documents
Replication Data for: Electron Acceleration and Zebra Stripe Formation in Saturn's Radiation Belts
No full textDataset Description
This dataset accompanies the paper Electron Acceleration and Zebra Stripe Formation in Saturn's Radiation Belts by Drozdov et al. It contains data from high-resolution simulations investigating electron dynamics in Saturn's radiation belts. The dataset includes processed figures, data files, and videos, facilitating further analysis and visualization of electron behavior in different simulation configurations.
Simulation Descriptions
Here is the association of simulation ID and simulation number. The ID is used in the preparation of the research. In the paper, the simulations are organized by numbers. However, file names will not change.
Simulation #1 (02f) – 3D simulation with convection terms and a persistent VS electric field but without radial diffusion (Dll).
Simulation #2 (02a) – Based on Simulation #1, but includes radial diffusion (Dll).
Simulation #3 (02i) – Extends Simulation #2 by incorporating collisional energy loss approximations.
Simulation #4 (02e) – Similar to Simulation #2 but with the VS electric field disabled after 3 days, mimicking an electric pulse and a time-dependent electric field condition.
Simulation #5 (05a) – 4D simulation including radial diffusion (Dll) and additional local diffusion terms (Dxx) representing wave-particle interactions due to hiss and chorus waves.
Simulation #6 (05e) – Builds on Simulation #5 but disables the VS electric field after 3 days mimicking a time-dependent electric field configuration.
Data Structure
The dataset is organized into the following directories:
Data (data/): Contains MATLAB .mat files with numerical results from the simulations, including electron spectra, energy profiles, and simulation parameters.
Figures (figures/): Includes high-resolution (600 dpi) images.
Videos (videos/): Provides visualizations of electron spectrum evolution over time for each of the simulations.
MATLAB Data Files (.mat)
The data files are in MATLAB format (.mat) but can be accessed using Python with the scipy.io module:
from scipy.io import loadmat
data = loadmat('path_to_file.mat')
print(data.keys())
Each .mat file contains structured arrays with variables related to figures and videos presented in the paper.
The .mat files follow a structured naming convention:
tau_2i.mat – Contains time-dependent lifetime approximations due to collisional (ionization) energy loss for different simulations.
DLL.mat – Contains radial diffusion coefficient data derived from Cassini measurements.
spectra_XX.mat – Represents electron flux data for various simulations and time steps.
en_profile_LX_XX.mat – Electron energy profiles for specific L-shell values (e.g., L5, L8).
spectra_XX_YY.mat – Represents electron flux data for various simulations XX and time steps and different Phi YY.
V_08a.mat – Contains velocity components from simulations.
E_08a.mat – Contains electric field components.
E_VS_08b.mat – Contains VS electric field components.
spectra_video_XX.mat – Data used to generate the video visualizations of electron spectra evolution.
Figures (figures/ Directory)
Figure 1 (dll_tau.png) – Radial diffusion coefficient derived from Cassini measurements and collisional (ionization) energy loss approximation.
Figure 2 (spectra_1.png) – Electron flux evolution over time, displaying results from different 3D simulations.
Figure 3 (spectra_1_diff.png) – Logarithmic electron flux differences highlighting the influence of diffusion and ionization loss.
Figure 4 (spectra_2.png) – Electron flux for different simulation conditions including wave-particle interactions.
Figure 5 (en_profiles.png) – Evolution of electron flux spectrum over time at selected L-shells.
Figure S1 (E.png) – Electric field components, including azimuthal and radial VS electric fields and total radial electric field.
Figure S2 (V.png) – Bounce-averaged drift velocities, decomposed into total, E × B drift, and gradient-curvature drift components.
Figure S3 (density.png) – Neutral torus density model, defining dominant hydrogen and oxygen density regions.
Figure S4 (spectra_1_90.png) – Same as Figure 2 but at Phi=90.
Figure S5 (spectra_1_180.png) – Same as Figure 2 but at Phi=180.
Figure S6 (spectra_1_270.png) – Same as Figure 2 but at Phi=270.
Figure S7 (spectra_2_90.png) – Same as Figure 4 but at Phi=90.
Figure S8 (spectra_2_180.png) – Same as Figure 4 but at Phi=180.
Figure S9 (spectra_2_270.png) – Same as Figure 4 but at Phi=270.
Videos (videos/ Directory)
ms01_spectrum_02f.mp4 – Simulation #1 (02f): 3D high-resolution (no radial diffusion Dll).
ms02_spectrum_02a.mp4 – Simulation #2 (02a): 3D high-resolution including Dll.
ms03_spectrum_02i.mp4 – Simulation #3 (02i): Based on #2, incorporating collisional energy loss approximations.
ms04_spectrum_02e.mp4 – Simulation #4 (02e): Based on #2, VS turned off after 3 days.
ms05_spectrum_05a.mp4 – Simulation #5 (05a): High-resolution 4D simulation with Dll and Dxx.
ms06_spectrum_05e.mp4 – Simulation #6 (05e): Similar to #5 but with VS turned off after 3 days.
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Caches Database
No full textSpreadsheet data of caches at K'axob. View associated media in the photograph and illustration datasets
Reflectance Transformation Imaging (RTI), February 2024, Biblioteca Capitolare di Verona
No full textDataset Description
This Reflectance Transformation Imaging (RTI) dataset originates from the Palimpsests in Danger project. RTI is applied to palimpsest handwritten codices (manuscripts) from the Biblioteca Capitolare di Verona, which have been previously treated with chemical reagents. This dataset includes multiple high-resolution images taken under varying lighting angles with broadband illumination, natural color RGB images, and processed RTI files for interactive light manipulation, documenting the manuscripts' historical context and surface details. This enables thorough examination and preservation of the object
Imaging Equipment Description/Specifications
A digital mirrorless camera, coupled with a 90mm macro lens, is used alongside broadband illumination sources. Two stationary lights are set at a 45-degree angle to acquire a color reproduction picture. A ring light illuminates the object with direct light for a specified image capture. A handheld broadband illumination source is used for the RTI data capture. Color targets and small spherical objects are used to calibrate color, white balance, and produce RTI sets. The angle and position of the illumination source can be determined by documenting its reflection on the spheres, as well as by records of descriptive filenames.
Camera - Mirrorless digital camera of 60megapixels with an IR and RGB Bayer pattern filter. Set at 100 ISO. Remotely controlled by computer and capturing software. This camera is mounted facing directly down onto the target object and spheres.
Light sources – 2x 60W, 5500K broadband illumination
Image Processing Description
Software “Relight” is used to calibrate and process RTI data. Spheres are mapped to track the position and angle of light through the image sets, and processing techniques are used to generate different results. The most prominent among the techniques described below is Hemispherical Harmonics (HSH). See: “Material Classification using BRDF Slices” {fowang,prabath,sscher,davisg}@soe.ucsc.edu.
PTM: Polynomial Texture Mapping
18 planes, or 9 using the LPTM where only the luminance change
HSH: Hemispherical Harmonics
27 planes, (9 per channel)
DMD: Discrete modal decomposition
Described in Discrete Modal Decomposition for surface appearance modelling and rendering, it is not supported.
PCA + RBF
Variable number of planes using a sampled basis and radial basis function interpolation. Named as RBF[nplanes] such as RBF18.
PCA + RBF + YCC
Same algorithm as before, but using the Jpeg color space separately for each channel, resulting in a better (adjustable) chroma fidelity. YCC[nluma][nchroma][nchroma] such as YCC1044 for 10 luminance planes and 4+4 for the chroma.
BILINEAR
Bilinear interpolation replace radial basis function in the previous algorithms. Especially good for uneven sampling of the light directions.
Data Structure
Each item (page) has three sub-folders: JPG, TIF, and RTI. The JPG and TIF folders contain identical files in different formats, while the RTI folder contains files related to Reflectance Transformation Imaging (RTI).
The JPG and TIF folders include a calibrated color picture produced by two broadband light sources (white light) at a 45-degree angle, a color image produced using a ring light attached to the lens of the photographic camera, and a series of pictures taken to produce RTI.
The color picture is labeled with the name of the object. The ring light picture is labeled with the name of the object and a suffix _0_ring. RTI set pictures are labeled by a) the name of the object and b) _angle_sequence number (example: msXV007r_15_01, where 15 is the angle of the light -15 degrees- and 01 is the first image of the sequence). RTI sets are composed of 12 images (12 positions of an analog clock) and at least four different angles in increments of approximately ~16 degrees (15, 31, 47, 65). In some cases, additional increments and angles were used (~22, ~40, ~55).
To View RTI Image Sets
Run RelightLab application.
Go to View - > View RTI.
Navigate and select the folder of an RTI image set. Folder must contain info.json file.
A browser window will open.
Controls can be found at the lower right corner of the new RTI window.
To view other RTI results navigate directly into the RTI folder of each object and open an RTI set.
Open files called "Planes" (*.jpg format). Especially look for Plane6.jpg when available.
Useful URLs
https://www.loc.gov/preservation/digital/formats/fdd/fdd000486.shtml
https://github.com/cnr-isti-vclab/relight
Date of Captured Data
February 2nd, 2024
Data Captured by
Damianos Kasotakis</p