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3,126 results for “france”
Figure 1 in Are fisheries regulations influencing the biology and reproduction of the surmullet Mullus surmuletus Linnaeus, 1758 on the south-eastern coasts of France (NW Mediterranean)?
Figure 1. – Sampling sites in West, AMA (Adjacent Marine Protected Area of Hyères Bay) and East zones on the south-eastern coast of France, NW Mediterranean Sea.
Figure 4 in Are fisheries regulations influencing the biology and reproduction of the surmullet Mullus surmuletus Linnaeus, 1758 on the south-eastern coasts of France (NW Mediterranean)?
Figure 4. – Percentages of both sexes and females:males sex-ratio of Mullus surmuletus by zone (A) and season (B).
Figure 3 in Are fisheries regulations influencing the biology and reproduction of the surmullet Mullus surmuletus Linnaeus, 1758 on the south-eastern coasts of France (NW Mediterranean)?
Figure 3. – Mean (± SE) total length (TL, cm) of Mullus surmuletus in West, AMA and East zones. N: number of analyzed individuals per sex in zones. Values with the same post-hoc letters (red for females, blue for males) are not significantly different (p> 0.05).
Figure 2 in Are fisheries regulations influencing the biology and reproduction of the surmullet Mullus surmuletus Linnaeus, 1758 on the south-eastern coasts of France (NW Mediterranean)?
Figure 2. – Percentage of individuals of Mullus surmuletus analyzed by two-cm size class (total length in cm) and by sex. N: number of individuals, F: females, M: males, Undet.: unidentified group includes immature individuals and those whose sex could not be identified.
Figure 8 in Are fisheries regulations influencing the biology and reproduction of the surmullet Mullus surmuletus Linnaeus, 1758 on the south-eastern coasts of France (NW Mediterranean)?
Figure 8. – Mean percentages of gonadal development stages (GDS) of Mullus surmuletus. A: By zone for females; B: By zone for males; C: By season for females; D: By season for males. N: number of individuals.
Figure 6 in Are fisheries regulations influencing the biology and reproduction of the surmullet Mullus surmuletus Linnaeus, 1758 on the south-eastern coasts of France (NW Mediterranean)?
Figure 6. – Mean gonado-somatic index (GSI, %) of males and females of Mullus surmuletus by (A) zone and (B) season. Values with the same post-hoc let-letters (red for females, blue for males) are not significantly different (p> 0.05).
Figure 7 in Are fisheries regulations influencing the biology and reproduction of the surmullet Mullus surmuletus Linnaeus, 1758 on the south-eastern coasts of France (NW Mediterranean)?
Figure 7. – Mean percentage of gonadal development stages of Mullus surmuletus by 2-cm size class (TL, cm) and sex for (A) females and (B) males. N: number of individuals.
Vulnerability tools - Corsica (France)
<p>The MOVING project has developed accessible <strong>tools </strong>designed to assess susceptibility and vulnerability within the region, ready to be used by both experts and the general audience. This document synthesises crucial information for the Corsica Region, particularly focusing on the Participatory Vulnerability Matrix and the Spatial Vulnerability Map. Furthermore, it includes <strong>supplementary maps and figures </strong>detailing various aspects such as the delineation of Reference Landscape, distribution of land systems, areas affected by wildfires, susceptibility to floods across different return periods, severity of forest disturbances, rainfall erosivity, and more.</p>
Vulnerability tools - Drôme Valley (France)
<p>The MOVING project has developed accessible <strong>tools </strong>designed to assess susceptibility and vulnerability within the region, ready to be used by both experts and the general audience. This document synthesises crucial information for the Drôme Valley Region, particularly focusing on the Participatory Vulnerability Matrix and the Spatial Vulnerability Map. Furthermore, it includes <strong>supplementary maps and figures </strong>detailing various aspects such as the delineation of Reference Landscape, distribution of land systems, areas affected by wildfires, susceptibility to floods across different return periods, severity of forest disturbances, rainfall erosivity, and more.</p>
Datasets related to the study "Spatial variability and future evolution of surface solar radiation over Northern France and Benelux: a regional climate model approach"
<p>This dataset contains the data of the manuscript "Spatial variability and future evolution of surface solar radiation over Northern France and Benelux: a regional climate model approach" under publication in Atmospheric Chemistry and Physics. <br>It includes CNRM-ALADIN64 simulations of surface solar radiation, cloud fraction, aerosol optical depth and water vapor content. <br>A directory is dedicated to HINDCAST simulations. It includes all datasets involved in the evaluation of CNRM-ALADIN64 simulations, as well as all datasets used for the analysis of the spatial variability of surface solar irradiance over the recent past. <br>Another directory is dedicated to future climate simulations. In this case, several sub directories can be found, representing either the simulations over the historical period (2005-2014, i.e. HIST directory), or simulations at mid (2045-2054, "mid" suffix) and long term (2091-2100, "end" suffix) horizons for SSP1-1.9 and SSP3-7.0. Each set of climate simulations is composed of three members (r1f, r2f, r3f), which were used collectively to increase the statistical significance of our analysis. </p>
Seasonal RGB composites from Sentinel-2 (2017-2024) for Catalonia, Spain; Sétif, Algeria; Behia and Kafr Elsheihk Governates, Egypt; Marseille, France; Sicily, Italy.
<p>A dataset containing seasonal Sentinel-2 RGB images (2017 to 2024) for five case study areas of the TRANSITION project (https://www.transition-med.org/), funded by PRIMA (https://prima-med.org/). The areas are Catalonia, Spain; Sétif, Algeria; Behia and Kafr Elsheihk Governates, Egypt; Marseille, France; Sicily, Italy. The dataset can be useful for anyone looking to conduct agriculture-related research using Earth Observation data in these five areas.</p>
Bees of the IMBE collection in Marseille: new data for southeastern France (Hymenoptera)
<p>Version 2 (18 Dec. 2024)</p> <p>Some Nomada had their identification corrected by Eric Dufrêne.</p> <p>Nomenclatural changes requalified as <em>Bombus mastrucatus</em> specimens previously identified as <em>Bombus wurflenii</em>, and corrected the spelling of <em>Hoplitis mocsaryi</em>.</p> <p>The dataset now includes 2181 specimens belonging to 246 species.</p> <p>Version 1 (14 Nov. 2024)</p> <p>We provide distribution data on 2180 specimens belonging to 244 species of bees, mainly from Mediterranean France. For each specimen, the following columns are given, with names from the Darwin-core system of the Blobal Biodiversity Information Facility (GBIF).</p> <p>Coding is UTF-8.</p> <p>Beware : some locality names and comments contain an quotation mark ('), which should be taken into account when reading the data with <em>R </em>or other statistical systems.</p> <p>All specimens are stored at the Institut Méditerranéen de Biodiversité et d’Ecologie marine et continentale (IMBE, Marseille, France).</p> <p> </p>
BRÉF - Base Révisée des Élu·es de France
<p>The BRÉF (<em>Base Révisée des Élu·es de France</em> / Revised database of representatives elected in France) is a database aiming at describing the mandates of all public representatives elected in France during the Fifth Republic (1958--present). It is based on the combination of data coming from of 4 sources:</p> <ul> <li>Primary source: <strong>RNE </strong>(<em>Registre National des Elus</em> / National register of elected representatives), a database maintained by the French Ministry of Interior when monitoring elections.</li> <li>Secondary sources: <ul> <li><strong>National Assembly: </strong>open database provided by the French National Assembly regarding the mandates of Members of the Parliament.</li> <li><strong>Senate: </strong>open database provided by the French Senate, regarding senatorial mandates.</li> <li><strong>European Parliament: </strong>official website of the European Parliament, which lists the mandates of Members of the European Parliament.</li> </ul> </li> </ul> <p>The original data contain many errors and issues, which are documented in our technical report (in French), as well as the operations that we conducted to correct or alleviate them, as described in technical report [1]. The database was used during the PhD of Noémie Févrat [2].</p> <ol> <li>V. Labatut, N. Févrat & G. Marrel, <em>BRÉF – Base de données Révisée des Élu·es de France</em>, Technical Report, Avignon Université, 2020. <a href="https://hal.archives-ouvertes.fr/hal-02886580" rel="nofollow">⟨hal-02886580⟩</a></li> <li>Févrat, N. Le mandat de trop ? La réélection des parlementaires et des maires en France et les conditions de sa remise en cause, PhD Thesis, <em>Avignon Université, </em>2024. <a href="https://hal.archives-ouvertes.fr/tel-04550896">⟨tel-04550896⟩</a></li> </ol> <p><strong>Source code. </strong>The source code that implements these operations is freely available on GitHub, as a collection of <code>R</code> scripts gathered in the <code><a href="https://github.com/CompNet/BrefInit">BrefInit</a></code> repository. The first version of the database takes the form of a single, large CSV table. The second version of the BRÉF is a proper relational database obtained with the scripts available in the <code><a href="https://github.com/BrefAvignon/BrefConversion">BrefConversion</a></code> repository. Its tables and fields are described in the <code>readme.txt</code> file.</p> <p><strong>Database. </strong>The database is available under three forms:</p> <ul> <li>PostgreSQL binary dump: file <code>bref_20250115_v2.2.1.backup</code></li> <li>SQL plain dump: file <code>bref_20250115_v2.2.1_sql.zip</code></li> <li>Individual CSV files (one by table): <code>bref_20250115_v2.2.1_sql.zip</code></li> </ul> <p><strong>Citation.</strong> If you use these data or the related source code, please cite reference [1]:</p> <p><code>@TechReport{Labatut2020,</code><br><code> author = {Labatut, Vincent and Févrat, Noémie and Marrel, Guillaume},</code><br><code> title = {{BRÉF} -- {B}ase de données {R}évisée des {É}lu·es de {F}rance (BRÉF -- Revised Database of the Representatives Elected in {F}rance)},</code><br><code> institution = {Avignon Université},</code><br><code> year = {2020},</code><br><code> type = {Technical Report},</code><br><code> address = {Avignon, FR},</code><br><code>}</code></p> <p><strong>Funding. </strong>This work was supported by the research federation Agorantic (FR 3621), through the funding of Noémie Fevrat’s PhD. and of interdisciplinary research project BRÉF2.</p> <p> </p>
National Checklists: France Species List
Data from: GBIF.org (23 January 2025) GBIF Occurrence Download <a href="https://doi.org/10.15468/dl.vd2ajk" target="_blank" rel="noopener">https://doi.org/10.15468/dl.vd2ajk</a>
Results from the monitoring of veterinary medicinal product residues and other substances in live animals and animal products - France
<p>This dataset contains the monitoring results of veterinary medicinal product residues and other substances measured in live animals and animal products analysed by the national competent authority of France. The presence of unauthorised substances, residues of veterinary medicinal products in food may pose a risk factor for public health.</p> <p>For this reason and in order to ensure a high level of consumer protection, a comprehensive legislative framework has been established in the European Union (EU) which defines maximum limits permitted in food and monitoring programmes for the control of the presence of these substances in the food chain. Regulation (EU) No 37/2010 establishes maximum limits for residues of veterinary medicinal products in food-producing animals and animal products. Maximum residue levels for pesticides in or on food and feed of plant and animal origin are laid down in Regulation (EC) No 396/2005. Commission Implementing Regulation (EU) 2022/1646 lays down practical arrangements for and specific content of official controls of the use of veterinary medicinal products in live animals and products of animal origin through three different official national control plans: a national risk-based control plan for production in the Member States, a national randomised surveillance plan for production in the Member States and a national risk-based control plan for third-country imports. Additionally, Commission Delegated Regulation (EU) 2022/1644 lays down the range of samples and stage of production, processing and distribution at which the samples are to be taken.</p> <p>Since 2018 until 2022, the data on the national residue monitoring plan were reported to EFSA in accordance with Council Directive 96/23/EC.</p> <p>The dataset contains the results of laboratory tests from samples taken from bovines, pigs, sheep, goats, horses, poultry, rabbits, farmed game, wild game aquaculture, milk, eggs and honey, and from 2023 also samples from casings, insects and reptiles.</p> <p>Targeted samples are taken with the aim of detecting illegal treatment or controlling compliance with the maximum levels laid down in the relevant legislation. This means that, in their national plans Member States target the groups of animals (species, gender, age) where the probability of finding residues is the highest. Conversely, the objective of random sampling is to collect significant data to evaluate, for example, consumer exposure to a specific substance.</p> <p>Suspect samples are taken as a consequence of i) non-compliant results on samples taken in accordance with the control plans, ii) possession or presence of prohibited substances at any point during manufacture, storage, distribution or sale through the food and feed production chain, or iii) suspicion or evidence of illegal treatment or non-compliance with the withdrawal period for an authorised medicinal veterinary product.</p> <p>Residues of pharmacologically active substances mean active substances, excipients or degradation products and their metabolites, which remain in food.</p> <p>Unauthorised substances mean substances that are not authorised as veterinary medicinal products or as a feed additive under European Union legislation.</p> <p>Prohibited substances mean substances which are prohibited for use in food producing animals according to the European Union legislation.</p> <p>Non-compliant sample is a sample that has been analysed for the presence of one or more substances and failed to comply with the legal provisions for at least one substance. Thus, a sample can be non-compliant for one or more substances.</p> <p><strong>REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION:</strong></p> <p>VMPR_2023 – French Agency for Food, Environmental and Occupational Health & Safety</p> <p>VMPR_2022 – French Agency for Food, Environmental and Occupational Health & Safety</p> <p>VMPR_2021 – French Agency for Food, Environmental and Occupational Health & Safety; Joint Service of the Laboratories of the<br>Ministry of Economy, Finance and Industry (DGCCRF and DGDDI)</p> <p>VMPR_2020 – French Agency for Food, Environmental and Occupational Health & Safety; Joint Service of the Laboratories of the<br>Ministry of Economy, Finance and Industry (DGCCRF and DGDDI)</p> <p>VMPR_2019 – French Agency for Food, Environmental and Occupational Health & Safety</p> <p>VMPR_2018 – French Agency for Food, Environmental and Occupational Health & Safety</p> <p>VMPR_2017 – French Agency for Food, Environmental and Occupational Health & Safety</p>
Fig. 3. – Poils d in Androsace albimontana (Primulaceae): une nouvelle espèce des Alpes (France, Suisse, Italie) à distinguer de A. pubescens
Fig. 3. – Poils d'Androsace L. A. A. albimontana D. Jord. & Jacquemoud; B. A. alpina (L.) Lam.; C. A. pubescens DC.
Fig. 2 in Androsace albimontana (Primulaceae): une nouvelle espèce des Alpes (France, Suisse, Italie) à distinguer de A. pubescens
Fig. 2. – Carte topographique de situation de la zone d'étude, avec mention des localités citées dans le texte. La localité type est signalée par une étoile. [source Wikimedia Commons (Wikisoft*) sous licence GNU Free Documentation License ver. 1.2]
Fig. 1 in Androsace albimontana (Primulaceae): une nouvelle espèce des Alpes (France, Suisse, Italie) à distinguer de A. pubescens
Fig. 1. – Carte géologique synoptique de la zone d'étude avec les massifs cristallins et les hautes chaînes calcaires des nappes helvétiques. [Carte modifiée d'après GIDON (2020)]
FIG. 32 in Caractérisation acoustique des différentes espèces du genre Phaneroptera Audinet-Serville, 1831 en Europe occidentale, et description d'une nouvelle espèce cryptique en France et en Espagne (Orthoptera, Tettigoniidae, Phaneropterinae)
FIG. 32. — Montage pour la comparaison des stridulations constituées de syllabes comprenant plusieurs impacts (chants de type 1 de P. laticerca n. sp. et P. cf. sparsa (Stål, 1857) et chants de type 1 et 3 de P. falcata (Poda, 1761)); oscillogramme (partie supérieure) et spectrogramme (partie inférieure).
FIG. 36. — Oscillogrammes d in Caractérisation acoustique des différentes espèces du genre Phaneroptera Audinet-Serville, 1831 en Europe occidentale, et description d'une nouvelle espèce cryptique en France et en Espagne (Orthoptera, Tettigoniidae, Phaneropterinae)
FIG. 36. — Oscillogrammes d'un mâle de Phaneroptera sparsa s.l. à différentes échelles temporelles; Ampitambe (Madagascar); 26.II.2019; chant nocturne 24° C; enreg. S. Hugel.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.