Historiquement l'Agence Technique Départementale a été créée pour accompagner les maîtres d'ouvrage dans la réalisation des bâtiments ou infrastructures communaux. Elle a depuis développé un savoir-faire particulier grâce à une équipe technique performante pour accompagner les élus dans l'aide à la décision ou plus largement dans les réflexions à mener sur leur territoire. Aujourd'hui, avec le désengagement progressif des services d'ingénierie de l'Etat, l'ATD permet de conserver pour les collectivités Territoriales qui y adhèrent une offre d'ingénierie publique Territoriale compétente. Les missions statutaires constituées par les études de faisabilité ou de simple diagnostic sont désormais complétées par des missions d'assistance technique en phase pré-opérationnelles réalisées uniquement dans le cadre de prestations intégrées. L'ensemble de ces missions reste strictement circonscrit dans la sphère du maître d'ouvrage, l'ATD n'assurant pas de mission de maîtrise d'œuvre.

The European Tracking Network (ETN) aims at bringing together marine researchers based in Europe that use aquatic biotelemetry as a tool. The main goals of the network are the promotion of transboundary cooperation, the establishment of a pan-European aquatic telemetry infrastructure network, improved data sharing through a central data portal and enhanced funding opportunities. ETN is co-coordinated by IMAR/University of the Azores and the Canadian Ocean Tracking Network (OTN) initiative. ETN is a partner node of OTN. The central data platform is hosted by the Flanders Marine Institute (VLIZ) and provides three key services to the users. 1) Data and metadata are stored centrally at a PostgreSQL database. To facilitate the data entry and data management for the users, a web application was developed in PHP using Symfony framework. 2) A data explorer is available to visualize the data. Datasets can be filtered based on area, species or time frame. In addition, detection data can be linked to other data types ( (e.g. moon index and tides) and several plot options are available. 3) In the R-studio environment, more detailed analyses can be performed.

Data from a number of different sources have been integrated to provide new perspectives on fishing activities. Vessel Monitoring Systems (VMS) record and transmit the position and speed of fishing vessels at intervals of two hours or less. Fishing time can be calculated from the VMS data and combining this parameter with vessel logbook data, maps of fishing effort and intensity at different spatial and temporal scales can be calculated. The statistical software package “R” is used to extract the required information then re-interrogated to produce maps of fishing effort or intensity per month and year. The use of Automatic Identification System (AIS) data was not considered as combining AIS data with fisheries logbook data would pose issues namely; the ability of the AIS system to be switched off, only mandatory on vessels > 15 meters in length, cost involved to purchase data, and confidentiality.

Potentialités agronomiques par culture (blé, haricot, maïs, orge, tabac et tournesol).

Localisation et description des sentiers de randonnées (GR, PDIPR, itinérance à pied, chemin local,sans classement). Localisation et description des tronçons (accessibilité/nature du sol/état...). Bornes/mats (description/état/historique des interventions...) Mobiliers (description/état/historique des interventions...)

Ce jeu de données donne les intercommunalités sur le département de la Gironde.

A central part of GEO’s Mission is to build the Global Earth Observation System of Systems (GEOSS). GEOSS is a set of coordinated, independent Earth observation, information and processing systems that interact and provide access to diverse information for a broad range of users in both public and private sectors. GEOSS links these systems to strengthen the monitoring of the state of the Earth. It facilitates the sharing of environmental data and information collected from the large array of observing systems contributed by countries and organizations within GEO. Further, GEOSS ensures that these data are accessible, of identified quality and provenance, and interoperable to support the development of tools and the delivery of information services. Thus, GEOSS increases our understanding of Earth processes and enhances predictive capabilities that underpin sound decision-making: it provides access to data, information and knowledge to a wide variety of users. This ‘system of systems’, through its Common Infrastructure (GCI), proactively links together existing and planned observing systems around the world and support the need for the development of new systems where gaps currently exist. It will promote common technical standards so that data from the thousands of different instruments can be combined into coherent data sets. The ‘GEOSS Portal’ offers a single Internet access point for users seeking data, imagery and analytical software packages relevant to all parts of the globe. It connects users to existing data bases and portals and provides reliable, up-to-date and user friendly information – vital for the work of decision makers, planners and emergency managers. (reference: from https://www.earthobservations.org/geoss.php)

La Base Adresse Nationale est une base de données qui a pour but de référencer l'intégralité des adresses du territoire français. Elle contient la position géographique de plus de 25 millions d'adresses. Elle est constituée par la collaboration entre : des acteurs nationaux tels que l'IGN, La Poste et La Poste ; des acteurs locaux tels que les collectivités, les communes, les SDIS  ; des citoyens par exemple à travers le projet OpenStreetMap et l'association OpenStreetMap France. Le projet est co-gouverné par l'Administrateur Général des Données et le Conseil National de l'Information Géographique. --- Etat de disponibilité de la donnée : Data.gouv : donnée téléchargeable en csv et mise à jour hebdomadaire. OpenStreetMap : donnée téléchargeable en csv, shape et json et mise à jour hebdomadaire. PIGMA : lien qui renvoie à la BD Adresse (Octobre 2016). Mise à jour irrégulière.

'''Short description:''' MEDSEA_MULTIYEAR_WAV_006_012 is the multi-year wave product of the Mediterranean Sea Waves forecasting system (Med-WAV). It contains a Reanalysis dataset and a monthly climatological dataset (reference period 1993-2016). The Reanalysis dataset is a multi-year wave reanalysis starting from January 1985, composed by hourly wave parameters at 1/24° horizontal resolution, covering the Mediterranean Sea and extending up to 18.125W into the Atlantic Ocean. The dataset is extended every year as well as on a monthly basis through one-month extensions in interim mode, reaching one month before present. The Med-WAV modelling system is based on wave model WAM 4.6.2 and has been developed as a nested sequence of two computational grids (coarse and fine) to ensure that swell propagating from the North Atlantic (NA) towards the strait of Gibraltar is correctly entering the Mediterranean Sea. The coarse grid covers the North Atlantic Ocean from 75°W to 10°E and from 70° N to 10° S in 1/6° resolution while the nested fine grid covers the Mediterranean Sea from 18.125° W to 36.2917° E and from 30.1875° N to 45.9792° N with a 1/24° resolution. The modelling system resolves the prognostic part of the wave spectrum with 24 directional and 32 logarithmically distributed frequency bins. The wave system also includes an optimal interpolation assimilation scheme assimilating significant wave height along track satellite observations available through CMEMS and it is forced with daily averaged currents from Med-Physics and with 1-h, 0.25° horizontal-resolution ERA5 reanalysis 10m-above-sea-surface winds from ECMWF. ''DOI (Product)'': https://doi.org/10.48670/mds-00376 ''DOI (Interim dataset)'': https://doi.org/10.25423/ CMCC/MEDSEA_MULTIYEAR_WAV_006_012_MEDWAM3I ''DOI (climatological dataset)'': https://doi.org/10.25423/ CMCC/MEDSEA_MULTIYEAR_WAV_006_012_CLIM

Calculation of the average annual sediment balance per stretch of coast for the past 10 years for all coastal zones bordering the North Atlantic Ocean. For this scale of study, this has been interpreted in terms of shoreline advance / retreat in mm/year. Required data sources are therefore national or international datasets giving this parameter directly. It is also possible to utilise more aggregated data sources, but annual values would then be approximated from them. The main challenge in producing this product lies with obtaining datasets which include this data from multiple countries and potentially multiple languages, since this data is usually produced as a result of comparatively small scale studies.