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Training and testing XRD dataset for crystallite size and microstrain determination using deep neural networks
No full textNumpy tensors to train and test a convolutional neural network dedicated to determine crystallite size and/or microstrain from X-ray diffraction data (XRD):
train_size.npz: training dataset with only crystallite size
test_size.npz: testing dataset with only crystallite size
train_size_strain.npz: training dataset with crystallite size and microstrain
test_size_strain.npz: testing dataset with crystallite size and microstrain
Each dataset contains the XRD data and the labels ("ground truth") in the form of 2D tensors with 10501 data points (columns) for the XRD data, and 24 labels (columns) for the labels. Training data contain 71971 rows ; testing data contain 7997 rows.
Example python script to read the data:
import numpy as np
train = np.load("train_size.npz")
train_data, train_label = train["train_data"], train["train_label"]
print(f"Train data shape: {train_data.shape}, Train labels shape: {train_label.shape}")
Jupyter notebooks to train and test a neural network can be found here: https://github.com/aboulle/LPA-NN </P
High resolution spectra of the oxygen triplet at 7774 Å in the Sun
No full textWe present a dataset of high resolution spectra of the Sun of the OI triplet around 7774 Angtröm. These solar spectra (resolution 15.22 mÅ) were obtained in the quiet Sun at various distances from disk centre with the ground based CNRS Themis telescope and are useful for the research of Oxygen abundance. The spectra shown here are freely available in FITS format to the research community.
See also https://doi.org/10.57745/9HRBAG for the centre to limb variation of OI forbidden lines at 6300 Å and 6364 Å
Supplementary Data for 'Experimental constraints on the sources of lithium-rich granites and pegmatites'
No full textTo test the anatectic origin of lithium-rich granites and pegmatites, partial melting experiments were performed on variably enriched metasedimentary rocks. Here, the major and trace element compositions of minerals and melts from the starting materials and the experimental run products are presented. Geochemical analyses are supported by Supplementary Tables 1 to 14 from Horányi et al. (2025)
In-depth temperature during fire spread on a wooden panel at intermediate scale
No full textIn the context of fire safety, real and intermediate scale testing of wooden facades is crucial for validation purposes, particularly with regard to modelling flame propagation on combustible vertical walls, for example. However, the metrology used remains limited especially due to the difficulty of finely instrumenting walls on a large-scale study. Therefore, the proposed work is to implement fine instrumentation on a wooden panel at intermediate-scale (150 × 50 cm2) subjected to a controlled heat source. This metrology is based on the implantation of fine thermocouple wires, in wooden cylinders machined beforehand. A total of 22 cylinders with five thermocouples, i.e. 110 thermocouples, were placed in a wooden panel at different heights and widths. The sample was then exposed to a heat flux of 40 kW.m−2 using a radiant panel
Data from the 3 surveys of IPMWORKS farms (separated by sector)
No full textThis collection contains data collected in IPMWORKS farms with - Survey#1 (IPM awareness, IPM adoption, Rough estimate of pesticide use, and qualitative self-assessement) - Survey#2 (Details of cropping systems to compute indicatores of Pesticide use, Pesticide impact, and cost-efficiency) - Survey#3 (Qualitative assessements of progress made in IPM adoption during the course of the project
EuroSoil_STICS : Données sols européennes pour le projet SLAM-B
No full textCe travail s’inscrit dans le projet SLAM-B (ANR-22-PEXF-0003 ) qui vise à concevoir et évaluer les trajectoires de bioéconomie des territoires vers la neutralité carbone. Il vise la constitution d'un système d’information géographique permettant la création des jeux de données nécessaires pour la simulation du modèle de culture STICS à l’échelle européenne avec une résolution fine
Evaluation results of a knee distraction unloader brace on a robotic test bench – CSV files of the data obtained from the test bench – Model of the bones – Model of the tested cam of the distraction brace
No full text
Dataset Description
Dataset Description
This dataset is associated with the publication titled "A Distraction Knee-Brace and a Robotic Testbed for Tibiofemoral Load Reduction during Squatting" in IEEE Transactions on Medical Robotics and Bionics. It provides comprehensive data supporting the development and evaluation of a knee distraction brace designed to reduce tibiofemoral contact forces during flexion.
Contents
Cam Profiles
STL files of the initial cam profiles designed based on averaged tibiofemoral contact force data collected from 5 squats of a patient with an instrumented prosthesis (K7L) from the CAMS Knee dataset (accessible via https://orthoload.com/).
Optimized cam profiles, corrected based on experimental results, are also included. These profiles enable patient-specific adjustments to account for the non-linear evolution of tibiofemoral contact forces with flexion angles.
Experimental Results
CSV files containing raw results from robotic testbed experiments, testing the knee brace under various initial pneumatic pressures in the actuators. Data is provided for tests conducted:
Without the brace,
With the initial cam profiles,
With the optimized cam profiles.
Each CSV file corresponds to a specific test condition, detailing forces and kinematics observed during squatting.
3D Models of Bones and Testbed Components
Geometries of the femur head and tibial plateau used in the robotic testbed experiments, provided in STEP, STL, and SLDPRT/SLDASM formats.
A README file describes the biomechanical coordinate systems used for:
Force and kinematic control of the robotic testbed,
Result interpretation and visualization.
How to Open and Read the Provided Files
The dataset includes files in CSV, SLDPRT, SLDASM, STL, and IGES formats. Below are recommended software solutions, with a preference for open-source options:
CSV (Comma-Separated Values): Can be opened with Microsoft Excel, Google Sheets, or open-source software like LibreOffice Calc or Python (using pandas).
SLDPRT & SLDASM (SolidWorks Parts and Assemblies): These files are native to SolidWorks. For viewing without SolidWorks, use eDrawings Viewer (free) or FreeCAD (limited compatibility).
STL (3D Model Format): Can be opened with MeshLab, FreeCAD, or Blender. Most 3D printing software (like Cura or PrusaSlicer) also support STL.
IGES (3D CAD Exchange Format): Can be read with FreeCAD, Fusion 360 (free for personal use), or OpenCascade-based software like CAD Assistant.
For full compatibility, commercial software like SolidWorks or CATIA may be required for SLDPRT and SLDASM files. However, FreeCAD and other open-source tools provide partial support.
See the associated publication and the README files included in the dataset for more information.
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Vertical (Doppler) velocities of the solar granulation: a comparison between the MHD simulation and Hinode observations at two wavelengths
No full textWe present a scientific dataset allowing to investigate the vertical flows of the solar granulation in the photosphere. For that purpose, we used results of a MHD numerical simulation and several sequences of observations from Hinode (JAXA/NASA), at two wavelengths and at disk centre. The simulation and observations appear to be in close agreement. 5-min oscillations filtered sequences of intensities, velocities and magnetic fields are available in FITS format for further research
Data for 3D modelling of internal tide generation over isolated seamounts in a rotating ocean
No full textThis repository contains the data used in the paper:
Le Dizes, C., Grisouard, N., Thual, O., & Mercier, M. (2025). Three-dimensional modelling of internal tide generation over isolated seamounts in a rotating ocean. Submitted to Journal of Fluid Mechanics
where we study the generation of internal tide on isolated 3D Gaussian seamounts using a novel Boundary Element Method. We focus in particular on the influence of the topographic height and slope, as well as the influence of the Coriolis frequency on the energy flux amplitude and direction.
The dataset is organized into folders corresponding to different values of β, the ratio of the Coriolis frequency f to the tidal frequency ω. Within each β folder, there are multiple subfolders representing simulations with varying dimensionless topographic height (δ) and slope (ε). Each subfolder contains a single simulation and includes:
- an input JSON file specifying the simulation parameters,
- a topography file (topography.npy),
and two output files:
- source_pmax***.npy, which contains the solution from the Boundary Element Method,
- wavefield_pmax***_nmodes**.npy, which reconstructs the different components of the wavefield.
Python codes to read the output files and plot the wavefield are given in the 'plots' folder
Data of LIFE project : early criteria genetically associated with functional longevity in show jumping horses
No full textData associated to the publication : Genetic relationship between infrared thermography at rest of young horses and longevity in jumping competition.
Anne Ricard, Séverine Deretz, Cathy Menard, Bernard Dumont Saint Pries