Data corresponding to our paper Orlando, J. I., Breda, J. B., Van Keer, K., Blaschko, M. B., Blanco, P. J., & Bulant, C. A. (2018, September). Towards a glaucoma risk index based on simulated hemodynamics from fundus images. In International Conference on Medical Image Computing and Computer-Assisted Intervention (pp. 65-73). Springer, Cham.Please, cite the corresponding article if you use this data.

Overview This dataset includes large-eddy simulation (LES) output from a neutrally stratified atmospheric boundary layer (ABL) simulation of observations at the SWIFT tower near Lubbock, Texas on Aug. 17, 2012. The dataset was used to assess LES models for simulation of canonical neutral ABL. The dataset can be used for comparison with other LES and computational fluid dynamics model outputs. Data Quality This is the model output, and no specific data quality procedures were used. Uncertainty This is output from a deterministic model. Constraints There are no specific constraints.

This chipped training dataset is over Les Cayes and includes high-resolution imagery (.tif format) and corresponding building footprint vector labels (.geojson format) in 256 x 256 pixel tile/label pairs. This dataset is a ramp Tier 1 dataset, meaning it has been thoroughly reviewed and improved. This dataset was used in developing the ramp baseline model and contains 1,430 tiles and 28,549 individual buildings. The satellite imagery resolution is 47 cm and was sourced from Maxar ODP (10300100A450A500). Dataset keywords: Urban, Peri-Urban, Rural, Coastal, Mountainous.

In 2023, the digital readership of the French newspaper Les Echos has sharply increased and reached a total of 78.4 percent readership. That phenomenon can be partially explained by the fact that the coronavirus outbreak has led many French consumers to check up the news by reading the press more often than before.

This study used the National Center for Atmospheric Research Large Eddy Simulation (NCAR-LES) model for the Ocean Surface Boundary Layer (OSBL). This model has been widely used to investigate boundary layer turbulence driven by various external surface forcing, as well as vertical mixing of particulate tracers such as gas bubbles, plastic debris and cohesive sediments. Recently, the model was also configured to study turbulence in the presence of a horizontal density gradient and to quantify horizontal dispersion and transport in the OSBL. The model can be requested from Dr. Peter Sullivan (pps@ucar.edu). There is no configuration or forcing files. All model setting is set in the code. In this study, the model is configured on an infinitely wide and stationary frontal zone. By systematically varying the wind/wave and frontal zone setup, as well as the domain size, this study aims at investigating the influence of a horizontal frontal zone on the wind- and wave-driven ocean surface boundary layers. The frontal zone is represented by a uniform lateral temperature gradient in the x-direction. The horizontal temperature gradient is sent to be 0.0153 K/km. A steady and uniform wind 10m above the ocean surface of 5 m/s is applied. The wind direction is systematically varied. The wind-front angle is the counterclockwise angle the wind makes with the upgradient direction. When the wind-front angle is 0-degree, the wind blows in the direction that the background temperature increases. When the wind-front angle is 90-degree, the wind blows in the down-front direction, with colder water on the left-hand side. Simulations are configured on two different domains: a large domain with horizontal extents of 1500m and a small one of 375m in both horizontal directions. For our chosen initial condition, if without wind stress, the large domain is sufficient for both unforced submesoscale eddies (SMEs) and OSBL turbulence to develop, while the small domain only allows OSBL turbulence to evolve. Contrasting solutions on the two domains under an otherwise identical setup allows the study of how SMEs affect the structure and turbulence of the OSBL in a frontal zone. This dataset supports the publication: Yuan, Jianguo and Jun-Hong Liang. (2021). Wind- and Wave-driven Ocean Surface Boundary Layer in a Frontal Zone: Roles of Submesoscale Eddies and Ekman-Stokes Transport. Journal of Physical Oceanography. doi:10.1175/jpo-d-20-0270.1.

Overview This dataset includes large-eddy simulation (LES) output from a convective atmospheric boundary layer (ABL) simulation of observations at the SWIFT tower near Lubbock, Texas on July 4, 2012. The dataset was used to assess the LES models for simulation of canonical convective ABL. The dataset can be used for comparison with other LES and computational fluid dynamics model outputs. Data Quality This is model output and no specific data quality procedures were used. Uncertainty This is output from a deterministic model. Constraints There are no specific constraints.

Stanley Black & Decker Les Charges D'Exploitation - Les valeurs actuelles, des données historiques, des prévisions, des statistiques, des tableaux et le calendrier économique - Jun 2025.Data for Stanley Black & Decker | Les Charges D'Exploitation including historical, tables and charts were last updated by Trading Economics this last June in 2025.

Expeditors International Of Washington Les Charges D'Exploitation - Les valeurs actuelles, des données historiques, des prévisions, des statistiques, des tableaux et le calendrier économique - Jul 2025.Data for Expeditors International Of Washington | Les Charges D'Exploitation including historical, tables and charts were last updated by Trading Economics this last July in 2025.

Image Classifier Les Scouts

## Overview

Image Classifier  Les Scouts is a dataset for object detection tasks - it contains Scouts Detection annotations for 1,237 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

International Flavors Fragrances Les Charges D'Exploitation - Les valeurs actuelles, des données historiques, des prévisions, des statistiques, des tableaux et le calendrier économique - Jun 2025.Data for International Flavors Fragrances | Les Charges D'Exploitation including historical, tables and charts were last updated by Trading Economics this last June in 2025.

This dataset tracks annual diversity score from 1991 to 2023 for Les Paul Middle School vs. Wisconsin and Waukesha School District

Ce jeu de données présente les différentes start-up qui ont été accompagnées par le Booster de So Digital. Plus d'informations sur l'agence So Digital: https://seineouestdigital.fr/

This dataset contains the data output necessary to reproduce the figures in the paper, Aiyer, A. and C. Meneveau (2020). Most data are contained in compressed python files with an accompanying load/read script. Documentation in the read script specifies variable names. A dataset description document gives an overview of the data, including units. The data is generated from a 1D ODE model and from large eddy simulations (LES). The LES data consist of first-order velocity and concentration statistics and the droplet size distribution. The radial and axial distributions and the variability of key quantities such as the Sauter mean diameter, total surface area and droplet breakup time-scale were quantified and their sensitivity to the Weber number were explored. This dataset supports the publication: Aiyer, A., & Meneveau, C. (2020). Coupled population balance and large eddy simulation model for polydisperse droplet evolution in a turbulent round jet. Physical Review Fluids, 5(11). doi:10.1103/physrevfluids.5.114305.

This dataset captures photosynthetically active radiation (PAR) penetrating the eggplant canopy, leaf area index (LAI) of the eggplant canopy, and heights of 5 eggplant plants per subplot. It contains 384 rows and 16 columns. This experiment looked at different cover crop performance grown in Les Cayes, Haiti and the subsequent crop of eggplant that was grown after the cover crop was incorporated into the soil. This research was conducted by USAID funded graduate student, Jean Maude Louizias, under the supervision of Dr. Carlene Chase.

The dataset includes snapshots of particles under the exclusive influence of boundary layer flows. The data are obtained from two computer simulations that are driven by two different sets of meteorological conditions. Dataset contains the trajectories of Lagrangian particles with a constant rising speed driven by turbulent ocean surface boundary layer currents. The velocity fields that move the particles are computed using the National Center for Atmospheric Research Large Eddy Simulation (NCAR-LES) model.

Cette table de données représente la vie des opérations d’un projet lauréat, de leurs planifications jusqu’à leurs réalisations depuis 2014.Ce jeu de données complète et détaille celui faisant la synthèse de projets lauréats - Budget participatif - Les projets lauréatsPour plus d'informations sur ce jeu de données vous avez à votre disposition : La notice explicative PDF ci-jointe,Le descriptif du Modèle de données ci-dessousLe site Paris Budget Participatif de la Ville de Paris.Le Budget Participatif propose aux Parisien(nes) de décider de l'utilisation de 5% du budget d'investissement entre 2014 et 2020, soit un demi-milliard d'euros.Site du Budget participatifLa démarche

A turbulence resolving simulation of a near-field plume is conducted using a nonhydrostatic Navier-Stokes solver (NEK5000). The computation is conducted using a 17th order spatial discretization for numerical accuracy and on about 900 cores of a recent Cray XE6m. The single-phase plume is driven by momentum and buoyancy anomalies at the inlet. Once the plume reaches a steady state through open upper boundary conditions, an injection of a passive tracer is carried out to explore possible mixing characteristics of dispersants. This dataset was created by the Consortium for Advanced Research on Transport of Hydrocarbon in the Environment (CARTHE).

Analysis of ‘Les moyens consacrés à la R&D : les EPST et les EPIC’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from http://data.europa.eu/88u/dataset/586dae64a3a7290df6f4be8f on 15 January 2022.

--- Dataset description provided by original source is as follows ---

Ce jeu de données présente les moyens financiers et humains consacrés à la recherche et au développement des EPST et des EPIC par région, année, type d'organisme et type de personnel.

--- Original source retains full ownership of the source dataset ---

Description: This dataset includes one MATLAB script and LES simulation data for one ensemble. Several such ensembles were used to compute the conditionally averaged quantities of the flow in the under review paper “An entrainment paradox: how hysteretic saltation and secondary transport augment atmospheric uptake of aeolian source materials” by Santosh Rana, William Anderson, and Mackenzie Day.

Metadata: Metadata_ConditionalStress.txt - File name descriptions for surface stress. Metadata_ ConditionalVelocity.txt - File name descriptions for velocity fluctuations. Metadata_STATS_FA.txt - File name descriptions for Reynolds averaged velocities. Metadata_MATLABscript.txt – Information about the MATLAB script.

Data: ConditionalStress*.dat.c* - Each of these files contains two columns of data. The first and second column correspond to stresses T_xy and T_yz respectively. In the paper, only T_xy is used in the results section. The first * in the filename can have value “Alpha”, “Beta” or “Gamma” corresponding to Mode 1, Mode 2 and Mode3 conditional averaging. The second * in the filename can have a numerical value between 0 and 15 indicating the number of parallel process.

ConditionalVelocity*.dat.c* - Each of these files contains three columns of data for conditionally averaged streamwise velocity (u), spanwise velocity (v) and wall-normal velocity (w). The first * in the filename can have value “Alpha”, “Beta” or “Gamma” corresponding to Mode 1, Mode 2 and Mode3 conditional averaging. The second * in the filename can have a numerical value between 0 and 15 indicating the number of parallel process. STATS_FA.dat.c* - These files contain data for Reynolds averaged streamwise velocity (u), spanwise velocity (v) and wall-normal velocity (w). The * in the filename can have a numerical value between 0 and 15 indicating the number of parallel process.

Script: PostProcess.m – This script calculates Reynolds averaged and conditionally averaged streamwise velocity (u), spanwise velocity (v) and wall-normal velocity and their fluctuations.

Additional information: Alpha, Beta and Gamma as used in the file names indicate Mode 1, Mode 2 and Mode 3 dust entrainment respectively.

This dataset provides information about the number of properties, residents, and average property values for Les Smith Road cross streets in Ellaville, GA.