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3,126 results for “france”
National Checklists 2017: France Species List
Lists of taxa for each country and a few other administrative zones harvested from effechecka using simplified versions of geonames polygons. See <p></p>https://github.com/diatomsRcool/checklists for details<p></p>A list of species from France collected using effechecka and geonames polygons
National Checklists 2019: France Species List
Lists of taxa for each country and a few other administrative zones harvested from effechecka using simplified versions of geonames polygons. See <p></p>https://github.com/diatomsRcool/checklists for details.<p></p>A list of species from France collected using effechecka and geonames polygons
Geochemistry of a weathering profile and natural waters in the upland Mediterranean catchment of Sapine, Mt-Lozère, southern France
<p>This publication reports geochemical data from an instrumented catchment of the Service National d’Observation “Observatoire Hydro-Météorologique Cévennes-Vivarais” (OHMCV) and of the National Research Infrastructure “Observatoires de la Zone Critique: Applications et Recherche” (OZCAR) of the French “Centre National de la Recherche Scientifique” (CNRS).</p> <p>The presented data are originally contained in Kuessner, M.L. (2018). The interplay between chemical weathering and hydrology in the Critical Zone - insight from trace elements and lithium isotopes [Doctoral dissertation, Institut de Physique du Globe de Paris]</p> <p>Contents</p> <p>Table SC1. Analyses of soil samples in Sapine Creek</p> <p>Table SC2. Analyses of rock samples in Sapine Creek</p> <p>Table SC3. Analyses of rain samples in Sapine Creek and Cloutasse catchments</p> <p>Table SC4. Analyses of stream samples in Sapine Creek</p> <p>Table SC5. Analytical limits for quadrupole ICP-MS measurements</p> <p>Table SC6. Analyses of reference materials for isotope measurements</p>
TABLE 2 in First evidence of cannibalism in Crassimurex (s. s.) calcitrapa (Lamarck, 1803) (Gastropoda, Muricidae) from the Lutetian of the Paris Basin (France)
<p>TABLE 2. — Morphological and functional patterns of holes associated with gastropod and <i>Octopus</i> predation (modified from Gordillo <i>et al.</i> 2022).</p><table><thead><tr><th><b>Characteristic</b></th><th><b>Pattern A</b></th><th><b>Pattern B</b></th><th><b>Pattern C</b></th></tr></thead><tbody><tr><th>Shape</th><td>A hole, round to oval</td><td>Paired breaks</td><td>A hole, rounded to irregular</td></tr><tr><th>Outline character</th><td>Regular outline</td><td>Irregular breakage</td><td>Regular to irregular</td></tr><tr><th>Profile cross section</th><td>Straight or sloping sides or parabolic outline</td><td>Random breakage</td><td>Width and direction of hole vary with depth</td></tr><tr><th>Drill hole location</th><td>Primarily Abapertural, dorsal to ventral</td><td>Unspecified</td><td>Apertural, ventral to dorsal, parietal (left)</td></tr><tr><th>Produced by</th><td>Secretions of the ABO and rasping by the radula</td><td>Possible chemical softening and biting marks of upper and lower beaks</td><td>Secretion of salivary glands and rasping by radula and teeth of the papillary shield and terminal process</td></tr><tr><th>Potential predator</th><td>Drilling gastropods</td><td><i>Octopus</i></td><td><i>Octopus</i></td></tr><tr><th>Present in this sampling</th><td>Yes</td><td>No</td><td>No</td></tr></tbody></table>
Waterbirds counts in the Drugeon bassin, France (game reserves and hunting areas) in 2020
<p>This dataset describes waterbird observations performed in game reserves and in hunting areas of the Drugeon river basin, France, in 2020.</p> <p>For each game reserve, a similar hunting area was selected in the same or an adjacent commune. If the hunting reserve was a stretch of river, as in Bonnevaux or Houtaud, another stretch of river was surveyed for comparison. In Frasne, the hunting reserve covers the Lothaud pond. Therefore, the adjacent Lucien pond was surveyed as a huntable area. The other nine wetland reserves are located in marshes and therefore nine other marshes were surveyed. Once this work was done, 10 other wetlands were also surveyed to complete the study. In total, 12 hunting reserves and 22 huntable areas, all in wetlands, were surveyed twice during the autumn of 2020. One of the 13 reserves was not surveyed (just forgotten in the sampling plan). The first survey was carried out between 24 August and 5 September, i.e. just before the opening of the waterfowl hunting season on 6 September. The second pass was carried out between 19 and 29 October, i.e. 44 to 54 days after the opening of the hunting season.</p> <p>Each sector was surveyed on foot, with round trips spaced at approximately 20 m intervals. The use of the Caynax application on Android allowed to control the location of the route, the regular spacing of the passages and the length of the route taken on each wetland. For both ponds, the water bodies were circled and birds were counted along the banks and on the water table. All characteristic wetland birds were noted, specifying whether they had been seen landing or in transit flight. Only birds landing are taken into account in this study. The observations were then recorded in an Excel table with the name of the area, its hunting status, the surface area, the number of kilometres covered during the survey and the date of the survey (see table <a href="https://zenodo.org/api/files/1546581e-0a8a-4966-9250-cc37eeafb414/db0.txt">db0.txt</a> and article cited below for more details).</p> <p><strong>FILE DESCRIPTION:</strong></p> <p><a href="https://zenodo.org/record/7539822/files/CartePAIGN_BB.jpg?download=1">CartePAIGN_BB.jpg </a>map of the areas studied. Green, game reserves sampled; red , hunting areas sampled: blue, one game reserve not sampled.</p> <p><a href="https://zenodo.org/record/7539822/files/db0.txt?download=1">db0.txt</a> counts for each area sampled</p> <ul> <li>com, commune</li> <li>lieu, place name</li> <li>pair, pair ID</li> <li>res, game reserve (OUI = yes, NON = no)</li> <li>ha, area sampled</li> <li>km, number of kilometers walked</li> <li>mois, month</li> <li>The next 28 colums are species ID, for full names see table <a href="https://zenodo.org/record/7539822/files/Statuts.txt?download=1">Statuts.txt</a>.</li> </ul> <p><a href="https://zenodo.org/record/7539822/files/Game reserves and hunting areas sampled.kml?download=1">Game reserves and hunting areas sampled.kml </a> kml file of the areas sampled (game reserves in green, hunting areas sampled in red; in blue, one reserve not sampled)</p> <p><a href="https://zenodo.org/record/7539822/files/Statuts.txt?download=1">Statuts.txt</a> list of species recorded</p> <ul> <li>espece, specie name (in French)</li> <li>nom latin, latin name</li> <li>nom anglais, species name (in English)</li> <li>sp, species ID</li> <li>protection, protection status: Protégée, protected; Chassable, huntable</li> <li>migrateur, migratory status: Migrateur tardif, late migratory; Migrateur précoce, early migratory</li> </ul> <p><strong>SUPPLEMENTARY FILES</strong></p> <p><a href="http://zenodo.org/record/7539822/files/R_code_for_Analysis.zip?download=1">R_code_for_analysis.zip</a> Workflow (in French) and R code for the analyses carried out in the article Michelat & Giraudoux (2023).</p> <p> </p>
FORMS: Forest Multiple Source height, wood volume, and biomass maps in France at 10 to 30 m resolution based on Sentinel-1, Sentinel-2, and GEDI data with a deep learning approach.
<p>The products can be vizualized at <a href="https://martinschwartz0.users.earthengine.app/view/forms-height-biomass-volume-viewer">https://martinschwartz0.users.earthengine.app/view/forms-height-biomass-volume-viewer</a></p> <p>- FORMS-H: Canopy height map of France at 10 m resolution. The units are in centimeter (10^-2 m).</p> <p>- FORMS-B: Above-ground biomass density map of France at 30 m resolution. The units are in Mg ha-1</p> <p>- FORMS-V: Wood volume density map of France at 30 m resolution. The units are in m3 ha-1</p> <p>Please refer to the paper <a href="https://doi.org/10.5194/essd-15-4927-2023">https://doi.org/10.5194/essd-15-4927-2023</a> for further details.</p>
AgriCarbon-EO Winter wheat Net Ecosystem Exchange and Biomass over South-west France at 10 m resolution
<p>Dataset contains the outputs of the AgriCarbon-EO</p> <p>An agronomical modeling tool for the carbon and water flux estimates by Bayesian assimilation of S2 and LandSat8 remote sensing data into the Prosail radiative transfer model and the SAFYE-CO2 crop model.<br> -----------------------<br> -for TILE : T31TCJ <br> -for year: 2017<br> -for Winter wheat crops<br> - at 10 m resolution</p> <p> </p> <p>Maps:<br> -file: "GLA_statmap.tif"<br> Description: A raster with 4 bands containing respectively:<br> *The R2 of the GLAI observed by satellite and simulations from 2016/11/01 until 2017/08/01<br> *The RMSE of the GLAI observed by satellite and simulations from 2016/11/01 until 2017/08/01<br> *The Bias of the GLAI observed by satellite and simulations from 2016/11/01 until 2017/08/01<br> *The number of images that are assimilated into SAFYE-CO2 from 2016/11/01 until 2017/08/01</p> <p>-file: "emerg_wheat_2017.tif"<br> Description: A raster with 2 bands containing respectively:<br> *The mean value of emerg retrieved by the SAFYE-CO2 inversion in days of simulation (the simulation begins the 01/01/2016).<br> *The standard deviation of emerg retrieved by the SAFYE-CO2 inversion.<br> <br> -file: "LUEa_wheat_2017.tif"<br> Description: A raster with 2 bands containing respectively:<br> *The mean value of LUEa retrieved by the SAFYE-CO2 inversion in g/MJ.<br> *The standard deviation of LUEa retrieved by the SAFYE-CO2 inversion in g/MJ.</p> <p>-file: "SENa_wheat_2017.tif"<br> Description: A raster with 2 bands containing respectively:<br> *The mean value of Sena retrieved by the SAFYE-CO2 inversion in °C.<br> *The standard deviation of Sena retrieved by the SAFYE-CO2 inversion in °C.</p> <p>-file: "SENb_wheat_2017.tif"<br> Description: A raster with 2 bands containing respectively:<br> *The mean value of SENb retrieved by the SAFYE-CO2 inversion.<br> *The standard deviation of SENb retrieved by the SAFYE-CO2 inversion.</p> <p>-file: "PRT_La_wheat_2017.tif"<br> Description: A raster with 2 bands containing respectively:<br> *The mean value of DAM retrieved by the SAFYE-CO2 inversion.<br> *The standard deviation of DAM retrieved by the SAFYE-CO2 inversion.</p> <p>-file: "DAM_wheat_2017.tif"<br> Description: A raster with 2 bands containing respectively:<br> *The mean value of DAM retrieved by the SAFYE-CO2 inversion in g/m2.<br> *The standard deviation of DAM retrieved by the SAFYE-CO2 inversion in g/m2.</p> <p>-file: "NEP_wheat_2017.tif"<br> Description: A raster with 2 bands containing respectively:<br> *The mean value of NEP retrieved by the SAFYE-CO2 inversion in g/m2.<br> *The standard deviation of NEP retrieved by the SAFYE-CO2 inversion in g/m2.</p> <p>-file: "NECB_exportG_wheat_2017.tif"<br> Description: A raster with 2 bands containing respectively:<br> *The mean value of NECB retrieved by the SAFYE-CO2 inversion in g/m2 , considering an export scénario with grains export only.<br> *The standard deviation of NECB_exportG retrieved by the SAFYE-CO2 inversion in g/m2.</p> <p>-file: "NECB_exportGLS_wheat_2017.tif"<br> Description: A raster with 2 bands containing respectively:<br> *The mean value of NECB retrieved by the SAFYE-CO2 inversion in g/m2, considering an export scénario with grains, stems and leaves.<br> *The standard deviation of NECB_exportGLS retrieved by the SAFYE-CO2 inversion in g/m2.</p> <p> </p> <p>Shapefiles a GIS: <br> -file: "S2_TILE_T31TCJ.shp"<br> Description: shape file of the contour of the T231 TCJ sentinel2 tile <br> -file: "FR_AUR.shp"<br> Description: shape file of the contour of AURADE experimental field <br> -file: "FR_AUR_TOWER.shp"<br> Description: shape file of the location of the AURADE eddy covariance flux tower<br> -file: "POI_2017.shp"<br> Description: shape file of the location of points of interest that illustrate the ... paper<br> -file: "ESU_DAM.shp"<br> Description: shape file of the contour of the plots where dry biomass samples were taken.<br> -file: "ESU_DAM_points.shp"<br> Description: shape file of the location of the points where dry biomass samples were taken.<br> -file: "mapT31TCJ_spamaps.qgz"<br> QGIS project file for the visualisation of the NEP maps.<br> </p>
Characterization of dairy processing waste in the north of France
<p>Dataset containing the characterization of dairy processing waste from 10 different dairy factories in the north of France.</p>
Orthophoto issue d'images de drone,Terre Sainte à Saint Pierre,Réunion,France - 20230722 - Mavic2Pro_02_1
<p>Ce jeu de données présente les résultats des traitements photogrammétriques d’images de drone acquises sur le site de la petite plage de Terre Sainte, Saint Pierre, Réunion.</p> <p>Les traitements ont été réalisés avec le logiciel OpenDroneMap à partir des images brutes fournies dans la première version de ce DOI. Les vols ont été réalisées par l'IRD</p> <p>.<br> Le paramétrage du logiciel OpenDroneMap est partagé pour permettre la reproductibilité ou l'amélioration des traitements proposés.</p> <p>Le dépôt est composé des éléments suivants:<br> - <strong>uav_2023_07_20_terre-sainte_Mavic2Pro_02_1.tif</strong>: Orthophoto issue du traitement OpenDroneMap <br> - <strong>photogrammetry_config.json</strong>: Configuration OpenDroneMap</p> <p><strong>Camera model and parameters:</strong> <br> Make: Hasselblad <br> Model: L1D-20c <br> Width: 5472 <br> Height: 3648 <br> Focal: 28<br> No images: 264</p> <p><strong>Survey informations:</strong><br> Median height: 92 meters<br> Survey area: 6.95 hectares<br> Survey from:08:49:12 to:09:02:51<br> </p>
Forest fire assessement training dataset (2022-07-18 fire at Maclas - France)
<p>This dataset has been created to train Univ. Eiffel personnels on raster data handling with QGIS.</p><p>It provides the following elements:</p><ul><li>Geopackage database with the following layers:<ul><li>QGIS project</li><li>Extract from the SENTINEL-2 2022-06-11 B8A band</li><li>Extract from the SENTINEL-2 2022-06-11 B12 band</li><li>Extract from the SENTINEL-2 2022-07-21 B8A band</li><li>Extract from the SENTINEL-2 2022-07-21 B12 band</li><li>Reclassified delta NBR raster layer</li><li>Delta NBR vector layer</li><li>Studied area bounding box</li></ul></li><li>Intermediate results:<ul><li>pre-event NBR raster file</li><li>post-event NBR raster file</li><li>Delta NBR raster file</li><li>Delta NBR raster file multiplied by 1000 (for easier reclassification)</li></ul></li></ul><p>Data sources IDs from opensearch-theia.cnes.fr-sentinel2-l2a catalogue :</p><ul><li>SENTINEL2B_20220721-104826-811_L2A_T31TFL_D</li><li>SENTINEL2B_20220611-104824-395_L2A_T31TFL_D</li></ul><p> </p>
Prosopographical database of Île-de-France nobility
<p>This prosopographical database contains affiliations at the royal princely institutions or of membership of customers or partie, individual relations and relationships of the french nobility settled in the Île-de-France region between the eleventh century and the beginning of the fifteenth century.</p>
Online supplementary data linked to the publication "Aubenas-les-Alpes (S-E France). Part III – Last and final part of the mammalian assemblage with some comments on the palaeoenvironment and palaeobiogeography" doi:10.1016/j.annpal.2019.03.001
<p>Online supplementary appendix including the list of Oligocene localities and associated faunal lists compared to Aubenas-les-Alpes, and the size estimation of the non-predatory species for the construction of Fig.10.</p>
Seventy-year chronology of Salinas in southern France: coastal surfaces managed for salt production
<p>kml files constructed for "Seventy-year chronology of Salinas in southern France: coastal surfaces managed for salt production and conservation issues for abandoned sites"</p> <p>For the years 1975, 2000, 2006, 2012, and 2018, topographical maps and aerial photographs were obtained the IGN web portals (Géoportail; Géoportail, section “remonter le temps”). Literature data and knowledge of the localisation of pumping stations and functioning of exploited Salinas obtained from expert interviews were used to re-itemise the functional pre-concentration ponds not included in CLC-class 4.2.2, as belonging to the Salinas. Polygons were created manually for these items and constituted an added class 4.2.2.A to distinguish these added surfaces from those recognised by Corine land-cover as 4.2.1 or 5.2.1. Both classes were systematically merged into a single shapefile for each Salina and the polygons obtained were checked against topographic maps and aerial photographs to verify if these represented the real coverage of the Salina and corrected if needed. Hence , the ensembles of the exploited Salinas in these 6 years were named as “Salinas_Mediterranean_France_xxxx.kml”, with xxxx as the year).</p> <p> </p>
Fig. 1 in The oldest fossil of the family Issidae (Hemiptera, Fulgoromorpha) from the Paleocene of Menat (France)
Fig. 1. Forewing of Cubicostissus palaeocaeni gen. et sp. nov. (NEL3485). Scale bar = 1 mm. Photograph© T. Schubnel.
FIG. 9 in Functional inferences on the long bones of Ischyrictis zibethoides (Blainville, 1841) (Carnivora, Mustelidae) from the middle Miocene locality of Sansan (Gers, France)
FIG. 9. — Distal view of the distal epiphysis of the left femur of several species of Mustelidae: Gulo gulo (Linnaeus, 1758) (A), Martes foina (Erxleben, 1777) (B), Meles meles (Schreber, 1778) (C), Taxidea taxus (Linnaeus, 1758) (D), and Ischyrictis zibethoides (Blainville, 1841) from Sansan (E), shown at the same size for a better comparison. Scale bar: 1 cm.
FIG. 4 in Functional inferences on the long bones of Ischyrictis zibethoides (Blainville, 1841) (Carnivora, Mustelidae) from the middle Miocene locality of Sansan (Gers, France)
FIG. 4. — Caudal view of the distal epiphysis of the right humerus of several species of Mustelidae: Gulo gulo (Linnaeus, 1758) (A), Martes foina (Erxleben, 1777) (B), Meles meles (Schreber, 1778) (C), Taxidea taxus (Linnaeus, 1758) (D), and Ischyrictis zibethoides (Blainville, 1841) from Sansan (E), shown at the same size for a better comparison. Scale bar: 1 cm.
FIG. 1 in An appraisal of the Middle-Late Miocene fossil decapod crustaceans of the 'Faluns' (Anjou-Touraine, France)
FIG. 1. — Location map of the outcrops area, and extension of the Falun's Sea during the Middle-Late Miocene (shaded area). Map from Gagnaison et al. 2012.?, limits of the "Faluns sea" probable extension.
FIG. 7 in Anatomy, affinities, and evolutionary implications of new silicified stems of Sphenophyllum Brongniart, 1828 from the early Carboniferous (Mississippian) of France and Germany
FIG. 7. — Reconstruction of MN911 at the level of branching based on a series of transverse sections. Because only the base of the leaves is well known, their tips are represented in dashed lines. Sections 1-6 correspond to polished surfaces MN911-B1i, MN911-B1s, MN911-B2i, MN911-B2s, MN911-B3i, and MN911- B3s; sections 7 and 8 correspond to slides MN911-A1 and MN911-A2. Artwork by Bernard Terreaux.
FIG. 10 in The Palaeotheriidae (Equoidea, Perissodactyla, Mammalia) from the Eocene fauna of Aumelas (Hérault department, France)
FIG. 10. — Pachynolophus sp. from Aumelas: A, AUM 199, right maxillary fragment with P3/-M3/; A1, labial view; A2, occlusal view; B, AUM 1586, right maxillary fragment with (alv. P1/)-P2/-(M2/); B1, labial view; B2, occlusal view; C, AUM 213, left M3/ (reversed), occlusal view; D, AUM 1596, left fragment with P3/-P4/ (reversed), occlusal view; E, AUM 332, right DP/4, occlusal view; F, AUM 1600, right mandible with M/2-M/3 (pars); F1, occlusal view; F2, labial view; G, AUM 323, symphysis with both /C and sockets of incisors, dorsal view; H, AUM 1599 left mandible fragment with (P/3)-(M/3) (reversed); H1, occlusal view; H2, labial view; I, AUM 1620, left mandible with DP/2-M/2-(M/3), occlusal view; J, AUM 1617, mandible with right /C-(alv. DP/1)-DP/2-M/3, sockets of incisors and left /C); J1, occlusal view; J2, labial view. Scale bars: 2 cm.
FIG. 7 in The Palaeotheriidae (Equoidea, Perissodactyla, Mammalia) from the Eocene fauna of Aumelas (Hérault department, France)
FIG. 7. — Propalaeotherium cf. gaudryi (Lemoine, 1878) from Aumelas: A, AUM 1584, left maxillary with (P1/ roots)-P2/-M3/, occlusal view (reversed); B, AUM 1583, maxillary with left P2/-M3/ and right P1/-M2/, occlusal view (reversed); C, AUM 168, right maxillary with (alv. C/)-(alv. P1/)-P2/-M3/; C1, labial view, C2, occlusal view; D, AUM 192, right P4/, occlusal view; E, AUM 209, right maxillary with M1/-M3/, occlusal view; F, AUM 206, right mandible with (alv. P/1-P/2)-P/3-M/3; F1, occlusal view; F2, labial view; G, AUM 1603, right mandible with (P/3)-P/4-M/3; G1, occlusal view; G2, labial view; H, AUM 1601, right mandible with (P/4)- M/1-M/3, occlusal view. Scale bar: 2 cm.
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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.