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Dataset of 16S rRNA Gene Amplicon Sequences in Bronchoalveolar Lavage Samples from Severe Asthmatic and Age-Matched Control Children
No full textThe dataset provides the 16S rRNA amplicon sequences data of 30 bronchoalveolar lavage samples obtained from a human paediatric cohort presenting or not with severe asthma. Amplicons from the V3-V4 region of the 16S rRNA gene were sequenced using Illumina MiSeq technology. The data were collected to identify bacterial species that associate with severe asthma
IPM practices identified in analyzed projects
No full textResults from identification of "best practices" studied in the various Horizon, FP7, EIP-AGRI projects and national projects from Agrowise consortium's countries.
The practices are reported as paths in the IPM taxonomy produced by Agrowise
Indicateurs des séries par horizons temporels issus des projections hydrologiques Explore2 pour le modèle CTRIP sous RCP 2.6
No full textIndicateurs des séries par horizons temporels issus des débits journaliers simulés par le modèle hydrologique CTRIP pour l'ensemble des projections climatiques Explore2 sous RCP 2.6. Ces fichiers résultent de l'agrégation temporelle des simulations hydrologiques sous runs historiques (avant 2005) et des projections hydrologiques (post 2005), fichiers NetCDF disponibles au téléchargement dans la collection Explore2 - Projections hydrologiques.
Ce dépôt regroupe un tableau par indicateur et chaîne de simulation, c'est-à-dire, scénario d'émission RCP, couple GCM/RCM, correction de biais BC et modèle hydrologique HM. Ces données sont brutes et contiennent donc des chaînes de projections jugées aberrantes / horsains qu'il est possible de filtrer grâce à des métadonnées supplémentaires. Pour des raisons techniques, ces indicateurs sont regroupés par dossiers compressés selon les différentes phases du régime hydrologique.
La description des chaines de modélisation du climat et celle des modèles hydrologiques sont, respectivement, disponibles dans le rapport https://doi.org/10.57745/PUR7ML et dans les annexes du rapport https://doi.org/10.57745/S6PQXD. Retrouvez le diagnostic des modèles hydrologiques résumé à l'échelle des régions hydrologiques dans les fiches téléchargeables ici : https://doi.org/10.57745/DMFUXW.
Métadonnées supplémentaires : Récapitulatif de l'ensemble des indicateurs hydrologiques : https://doi.org/10.57745/JVNHQL Récapitulatif de l'ensemble des chaînes de simulation : https://doi.org/10.57745/R6HG5X Description de l'ensemble des points de simulation : https://doi.org/10.57745/UTKWR5 Liste des chaînes de modélisation jugées aberrantes / horsains : https://doi.org/10.57745/YZNENQ Récapitulatif des années pivots utilisées pour la TRACC : https://doi.org/10.57745/DCOQM6
Décomposition des chaînes de caractères formant le nom des fichiers parquet, séparées par des "_" : {1} Indicateur : Le nom de l’indicateur, du type de statistique calculée {2} Échantillonnage : Échantillonnage temporel sur laquelle est calculé l’indicateur → {1}_{2} Variable : Variable résultante d'un indicateur temporellement contextualisé {3} HX : Horizon futur (H[123]) → {1}_{2}_{3} Série : Série d'une variable pour un horizon temporel, défini dans le récapitulatif des indicateurs hydrologiques {4} EXP : Identifiant de l’expérience historique (post 2005) ou future (post 2005) {5} GCM : Identifiant du GCM forçeur {6} RCM : Identifiant du RCM {7} BC : Identifiant de la méthode de correction de biais statistique {8} HM : Identifiant du modèle hydrologique {9} Futur : Période futur (fut-YYYYMMDD-YYYYMMDD)
Les colonnes des fichiers parquet sont : EXP : Voir ci-dessus GCM : Voir ci-dessus RCM : Voir ci-dessus BC : Voir ci-dessus HM : Voir ci-dessus code : Code à 10 caractères du point de simulation fourni dans la description des points de simulation date : (optionnelle) Date associée à l'agrégation (plus d'information dans les métadonnées de variable) *Série* : Voir ci-dessus
Retrouvez des scripts d'aide pour utiliser ces données parquet
OpenFOAM data for a circular cylinder wake flow (Re=300)
No full text
The current dataset contains numerical results from openfoam simulation of a cylinder wake at reynolds number Re=300.
The geometry has been constructed using blockMesh followed by snappyHexMesh tools : the 3D domain is a [0:20]x[-10:10]x[0:3.14] box crossed by a Z axis cylinder centered at Ccyl=(5,0) with a radius Rcyl=0.5.
As for the simulation, the pimpleFoam solver of openfoam 21.12 has been used, followed with parafoam for post treatment visualization, and ITHACA-FV for POD
The code has been run on a cluster with almost 28 CPUs with commands like :
RUNNING
decomposePar -decomposeParDict system/decomposeParDict -force
mpirun -n 28 pimpleFoam -parallel
mpirun -n 28 redistributePar -parallel -reconstruct -overwrite
POST treatment
In current directory, Iso Q generation for visualization : postProcess -func Q -time "500:600"
In POD-* directory, POD using ITHACA-FV library and ANR code RedLUM. POD is performed on 500:1000 (train set) using the snapshot method. Temporal modes are also evaluated on 1000:1100 (test set) by snapshot projection.
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A 3D morpho-space of sepal geometry reveals the importance of organ curvature (data set)
No full textThis repository contains raw image data, the extracted sepal contours, and the measurement results, used for the manuscript Battu et al.
We consider different mutants in Col-0 and Ler background, grow them and their corresponding wild type in the same condition (on soil at 20°C,...) We refer to the manuscript Battu et al. for a more detailed description of the plant material, methods, and measurements obtained.
The dataset contains original sepal images, the segmented images, as well as measured data for 15 mutants and their corresponding control wildtype, summarized in 12 directories corresponding to 12 experiments. The measured data for a genotype named "mutant" is in a file named "dataset_normalized_mutant.csv", in which all lengths are given in micrometers
Image data set of "Semi-automatic quantification of 3D Histone H3 phosphorylation signals during cell division in Arabidopsis root meristems"
No full textThis set of images corresponds to wholemount immunolocalized Col0 untreated root tips obtained using an anti-tubulin antibody (B-5-1-2 mouse monoclonal anti-tubulin, Sigma-Aldrich), an anti-Histone H3 (Phospho S10) antibody (rabbit polyclonal anti-H3S10ph antibody) and stained with DAPI.
Root tips Z-stacks were acquired using an SP8 confocal laser microscope (Leica Microsystems). For simultaneous detection of DAPI, microtubules and H3S10ph signals, samples were excited respectively at 405 nm, 488 nm or 561 nm, with an emission band of 420-446 nm, 495-540 nm or 570-620 nm, using PMT detectors for both DAPI and H3S10ph, and a hybrid detector for microtubules. All 3D stacks were acquired as 12 bits images to get a high dynamic range of the H3S10ph signal, ensuring that no pixel was saturated in this channel. All 3D stacks were acquired with using the same zoom, the same voxel size (350 µm x 350 µm x 350 µm) and the same settings and PMT level for the H3S10ph channel
A database of flow and near pressure field signals obtained for subsonic and supersonic jets impinging on a flat or a perforated plate using large-eddy simulations
No full textThe time signals obtained in the flow and near pressure fields of subsonic and supersonic jets impinging on a flat or perforated plate computed by highly-resolved compressible large-eddy simulations (LES) using cylindrical coordinates (r,theta,z) have been stored in a database. As is the case for the data obtained recently for free jets, they can be shared with other researchers, upon request by email, to investigate, for instance, the development of turbulent structures and noise generation mechanisms in impinging jets. The jet conditions (Mach and Reynolds numbers, temperature) and nozzle-exit boundary-layer characteristics (thickness, velocity profile, fluctuation level), the LES grid parameters and the recorded signals (nature and location of the variables stored, time duration and sampling frequency) are briefly described in this short note
In-situ Data of occupant behavior and thermal comfort in 11 offices in a naturally ventilated building during 6 summers
No full textAs summer heatwaves become more intense and more frequent, achieving thermal comfort in buildings without relying on air conditioning has become critical to meet CO₂ emission targets. To address this, a field study was conducted in an office building at INES, Le Bourget-du-Lac, France. The bioclimatic design of the building takes advantage of the local climate, influenced by mountain ranges and Bourget Lake, to minimize overheating while ensuring occupant comfort thanks to solar control, natural ventilation and thermal inertia. It optimizes natural ventilation through features such as a green atrium with automated openings and internal leafs. Pedestal fans completed this strategy to maximize occupant comfort without air-conditioning.
Data were collected over six years (2017-2022) through sensors networks and thermal comfort surveys thanks to a Human Machine Interface (HMI), which has been developed and improved over the different campaigns. The surveys gather occupant perception of comfort, clothing details, and the effect of draughts, while sensors monitored door and window openings, office temperatures and fan use. Instrumentation includes temperature sensors connected to computers, plug-in power sensors for fans, and openings status sensors. Data were recorded every 5–10 minutes using a Jeedom home automation system linked to a Raspberry Pi, with a Python script transferring data to a central database. Across the study, up to 29 participants contributed annually, generating datasets ranging per year from 250 to 17,500 responses.
This dataset supports research into the relationship between thermal comfort, occupant perception, and passive cooling strategies, such as natural and mixed-mode ventilation. It provides insights into variations in occupant comfort and behavior across similar offices environment and forms a basis for studying building overheating, operational performance, and the effectiveness of passive cooling strategies. This dataset also facilitates the development of ventilation control algorithms and cascade cooling strategies by analyzing the conditions under which occupants use desk fans, helping optimize mixed-mode ventilation systems for comfort and efficiency.<br
Flow intermittence indicators from the reconstruction simulations (1960-2021) in the Albarine DRN (France)
No full textStatistical monthly and yearly flow intermittence indicators calculated from the simulated daily state of flow in the Albarine DRN (France).
Indicators for the reconstruction period (1960-2021)