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Angle prediction derived from LiDAR
No full textWe extracted the variables with a resolution of 20 meters, in order to make the grid’s area approximately equal to the sample plot’s area. This angle prediction is based on a linear regression using field data and LiDAR metrics
RezoFleuve Project : Lists of freshwater species of fishes from French Guiana.
No full textFrench Guiana is recognized as a biodiversity hotspot, particularly with respect to its ichthyofauna. This overseas department hosts 416 fish species, including 366 strictly freshwater taxa (Lebail et al., 2012), representing a richness 5 to 6 times higher than that of metropolitan France. The RezoFleuve program, coordinated by the DECOD Joint Research Unit (UMR DECOD, INRAE), was initiated in response to requests from local institutions: the French Guiana Water Office (OEG), the Amazonian Park of French Guiana (PAG), the DGTM (French Guiana Prefecture), and the Hydreco laboratory. The objective of RezoFleuve is to generate scientific knowledge to establish reference trophic networks, based on three major study sites: Saut Mapaou on the Approuague River, Abattis Cottica, and Saut Lavaud on the Maroni River, which forms the western border with Suriname. This innovative program employs a combination of methodologies, including stable isotope analysis (carbon and nitrogen) and dietary metabarcoding of captured individuals. The outcomes are expected to inform management strategies for fishery resources. As a prerequisite to RezoFleuve, UMR DECOD, in collaboration with Hydreco, OEG, and DGTM, developed an Information System that compiles all historical WFD (Water Framework Directive) data for French Guiana (https://eseweb.rennes.inrae.fr/RezoFleuve/). The deposited dataset comprises all fish captures conducted at the three RezoFleuve study sites and serves as a reference for the identification of the biological samples from collected specimens (not included here)
Dataset of polar lipids and proteins in milk fat globule membranes linked to spontaneous lipolysis in cow’s milk
No full textResults from the statistical analysis of zootehnics, proteomics and lipidomics data from dairy cows milks with high or low lipolysis leve
Magnetic resonance imaging data for analyzing the drying process in tomatoes
No full textThe data presented here include the original and processed MRI images acquired using a 1.5 T whole-body MRI scanner, to provide T2, proton density and microporosity maps, as well as with morphological parameters during the dying process of tomatoes, as investigated in Experiments A and B of the research article https://10.1016/j.foodres.2025.116385. These data are supplemented by T2 and microporosity profiles (the mean values of the parameters as a function of distance from the tomato cuticle), statistical data (mean of T2 and microporosity) and pericarp volume (Experiment A). The description of the dataset is provided in the file 0-data description.pdf
Workflow for transforming frequency to 5min per 5min
No full textJupyter notebook serving as a workflow and code for transforming data.
If referring to the workflow, data frequency for 2018-2019 was 1sec, then 1min etc. For data since 2020, the frequency is set to 5min.
This file serves as the transformation from this frequency to a 5min one.
PLEASE refer yourself to the README file, and download the Processed files. </strong
Additionnal data associated with the SpliVar project
No full textAdditionnal data associated with the splivar projec
Données de réplication pour : MiCliFeed_in vitro
No full textDonnées de fermentation ruminale in vitr
Replication Data for: Gerardin, Morgane, Mathias Paulin, and Romain Pacanowski. "Imaging device to measure the reflective and transmissive part of isotropic BSSRDF." Optics Express 32.22 (2024): 39267-39292.
No full textData associated to the paper: "Imaging device to measure the reflective and transmissive part of isotropic BSSRDF", M. Gerardin, M. Paulin, R. Pacanowski, Optics Express, 2024.
Abstract
Appearance of translucent materials is described by the Bidirectional Scattering-Surface Reflectance Distribution Function (BSSRDF) defined as the ratio of the spectral radiance observed from a specific direction at a given location of the material surface and the incident spectral flux at another location on the material surface from a specific direction. When observation is performed on the front surface, we refer to BSSRDF. When it is performed on the back surface, we refer to BSSTDF (Bidirectional Scattering-Surface Transmittance Distribution Function). Traceable measurements of such radiometric quantity require a fully calibrated measurement device, such as the one developped in the paper.
Content of the dataset
This dataset provides the data that were acquired and used to demonstrate the setup perfomance. It contains the data relative to the calibration of both the light source and the camera (cf. Section 4 of the paper), as well as the raw measurements obtained on two translucent samples (cf. Sections 6.1 and 6.2 of the paper). We also provide the processed data that were used for the visualizations (cf. Sections 6.3 and 6.4 of the paper).
How to navigate in the dataset
To simplify navigation among the numerous files in this repository, the data is organized according to a tree structure and identified by labels.
The tree structure is described below.
The labels associated with each fodler/file are specified by "Label: "label_name" ".
Requirements
The full dataset requires about 3.2TB to be stored
Room-Temperature H2 Splitting and N2‑Hydrogenation Induced by a Neutral Lu(II) Complex
No full textThe files below correspond to the raw experimental data associated with the publication entitled: "Room-Temperature H2 Splitting and N2-Hydrogenation Induced by a Neutral Lu(II) Complex". - Published in the Journal of the American Chemical Society (2025). DOI: 10.1021/jacs.4c18416
The following raw experimental data files are included: raw and processed NMR data, UV-vis spectra, Raman spectra and EPR spectra for the different compounds
Séquences de culture, France, 2015-2023
No full textCe jeux de données regroupe les séquences de cultures à partir du RPG public (source IGN) pour la période 2015-2023. Les données ont été produites avec le logiciel RPG Explorer.
Pour plus de renseignement sur le logiciel ou l'usage de ces données, vous pouvez contacter l'équipe RPG Explorer ([email protected])
Les données sont fournies par département et au format Geopackage. Celles-ci peuvent être ouverte avec le logiciel libre QGIS.
id_unique : Concaténation des différents identifiants RPG des parcelles. Les identifiants apparaissent de l'année la plus récente à l'année la plus ancienne et sont séparés par un "_".
qualif_seq : Il s'agit de la qualité de la séquence. Si la valeur est de 1, alors la séquences est correctement reconnue. Si la valeur est de 8 alors il s'agit d'une séquence non réconnue (en l'occurence des séquences avec uniquement une culture sur l'ensemble de la période).
seq_surf : Surface en hectare de la parcelle de filiation.
cultYYYY : Code culture RPG à 3 caractères de la parcelle de filiation pour l'année YYYY. Le référentiel des cultures RPG est disponible ici .
parcelYYYY : Identifiant de la parcelle du RPG présente dans la parcelle de filiation en année N. Attention, le terme ilot désigne l'identifiant parcelle du RPG public (source IGN) et non pas l'ilot