Web Map Service for Emodnet Chemistry

Serveur wms public de l'Ifremer - projet REPAMO

Plankton was imaged with the PlanktoScope in different oceanic regions using different nets and protocol of conservation. This dataset aims to serve as reference for taxonomic identification with the PlanktoScope across 256 plankton taxa from 20µm to 300µm. Reference dataset can also serve as learning set for prediction in Ecotaxa (https://ecotaxa.obs-vlfr.fr/prj/15535).  The full images were processed and segmented with the PlanktoScope around each individual. A set of associated features were measured on the objects with skimage.measure. All objects were classified into 256 different classes using the web application EcoTaxa (http://ecotaxa.obs-vlfr.fr). The following dataset corresponds to the 169, 149 objects and their calculated features. The different files provide information about the features of the objects, their taxonomic identification as well as the raw images.   taxa.csv.gz   Table of the classification of each object in the dataset, with columns: - object_id: unique object identifier in EcoTaxa. - annotation_category: taxonomic name corresponding to the last level of hierarchy - annotation_hierarchy: taxonomic lineage to the category  - set: class of the image corresponding to the taxon  - img_file_name: local path of the image corresponding to the taxon, named according to the object id   features_native.csv.gz   Table of morphological features computed by PlanktoScope. All features are computed on the object only, not the background. All area/length measures are in pixels.    - object_id: unique object identifier in Ecotaxa   And 33 features:   - width: width of the smallest rectangle enclosing the object (pixel) - height: height of the smallest rectangle enclosing the object (pixel) - bx: X coordinates of the top left point of the smallest rectangle enclosing the object (pixel) - by: Y coordinates of the top left point of the smallest rectangle enclosing the object (pixel) - circ.: circularity of the object ((4∗π ∗Area)/Perim^2) [0-1] - area_exc: Surface area of the object excluding holes (pixel2) - area: Surface area of the object (pixel2) - %area: Percentage of object’s surface area that is comprised of holes - major: Length of the primary axis of the best fitting ellipse for the object (pixel) - minor: Length of the secondary axis of the best fitting ellipse for the object (pixel) - y: Y position of the center of gravity of the object (pixel) - x: X position of the center of gravity of the object (pixel) - convex_area: The area of the smallest polygon within which all points in the object fit (pixel2) - perim.: The length of the outside boundary of the object (pixel) - elongation: elongation index (major/minor)  - perimareaexc: index of the relative complexity of the perimeter (perim/area_exc) - perimmajor: Index of the relative complexity of the perimeter (perim/major) - circex: Circularity of object excluding white pixels ((4 ∗ π ∗ Area_exc)/perim 2) - angle: Angle between the primary axis and a line parallel to the x-axis of the image - bounding_box_area: Area of the smallest box containing the object (pixel2) - eccentricity: Eccentricity of the ellipse that has the same second-moments as the region. Ratio of the focal distance of the ellipse over the major axis length [0-1] - equivalent_diameter: The diameter of a circle with the same area as the object (pixel) - euler_number: Euler characteristic of the set of non-zero pixels. Computed as number of connected components subtracted by number of holes - extent: Ratio of pixels in the object to pixels in the total bounding box - local_centroid_col: Horizontal coordinate of the center of mass of the object (pixel) - local_centroid_row: Vertical coordinate of the center of mass of the object (pixel) - solidity: Ratio of pixels in the object to pixels of the convex hull image (area / convex_area) - meanhue: Mean base color of the object in hue scale (0-360) - meansaturation: Mean saturation of the object [0-100] - meanvalue: Mean brightness of the object [0-100] - stdhue: Standard deviation of base color - stdsaturation: Standard deviation of saturation  - stdvalue: Standard deviation of brightness   inventory.tsv Tree view of the taxonomy and number of images in each taxon, displayed as text. With columns : - annotation_hierarchy: taxonomic lineage - annotation_category: name of the taxon  - n: number of objects in each taxon group map.png Map of the sampling locations, to give an idea of the diversity sampled in this dataset. imgs Directory containing images of each object, named according to the object id object_id and sorted in subdirectories according to their taxon.

WMS/WFS services for marine chemical datasets used in EMODNet Chemistry and provided by SeaDataNet. The data distribution is managed by the Common Data Index (CDI) Data Discovery and Access service

Serveur wms public de l'Ifremer, Accès aux données du Sismer

The DBCP – Data Buoy Cooperation Panel - is an international program coordinating the use of autonomous data buoys to observe atmospheric and oceanographic conditions, over ocean areas where few other measurements are taken. DBCP coordinates the global array of 1 600 active drifting buoys (August 2020) and historical observation from 14 000 drifting buoys. Data and metadata collected by drifting buoys are publically available in near real-time via the Global Data Assembly Centers (GDACs) in Coriolis-Ifremer (France) and MEDS (Canada) after an automated quality control (QC). In long term, scientifically quality controlled delayed mode data will be distributed on the GDACs. Disclaimer: the DB-GDAC is under construction. It is currently (January 2020) aggregating data from the Coriolis DAC (E-Surfmar, Canada). Additional DACs are considered. An interim provision from GTS real-time data to GDAC may be provided from Coriolis DAC.  

ROCCH, the French Chemical Contaminant Monitoring Network, regularly provides data for assessing the chemical quality of French coastal waters. Concentrations of trace metals and organic compounds are measured in integrative matrices (bivalves and sediments). Surface sediment samples are collected from 200 to 250 monitoring stations in the English Channel, the Bay of Biscay and Mediterranean lagoons every six years. Results concerning approximately 140 historical and emerging chemical substances (metals, PAHs, PCBs, PBDEs, PFAS …) are submitted to international databases of the Regional Sea Convention (OSPAR for the North East Atlantic and the Barcelona Convention for the Mediterranean) and disseminated to public stakeholders. During the ROCCHSED campaign in spring 2022, three sediment cores, each forty to fifty centimetres long, were collected from three different sites in the Bay of Biscay. Horizons of one to two centimetres in length were dated, sieved and freeze-dried for chemical analysis. The concentrations of metals, PAHs and PCBs were determined in horizons aged from over 150 years to the present in order to define the reference concentration of natural levels and describe the temporal profile of contamination.

WMS/WFS services for marine chemical datasets used in EMODNet Chemistry and provided by SeaDataNet. The data distribution is managed by the Common Data Index (CDI) Data Discovery and Access service. The service offers layers based on the chemical observations in CDI as grouped per vocabulary P36.

A compliant implementation of WMS plus most of the SLD extension (dynamic styling). Can also generate PDF, SVG, KML, GeoRSS