Catalogue PIGMA
Catalogue PIGMA (PIGMA)
Continents, countries, sea regions of the world.
Gestion de la taxe de séjour des Établissements Touristiques aux réels (montant/suivi déclaration/suivi facturation) à l'échelle des communautés de communes.
CC du Terrassonnais en Périgord noir Thenon Hautefort
Récupération quotidienne de la localisation des établissements touristiques via la BD de sirtaqui. Saisie annuelle/semestrielle/quadrimestrielle par les Communautés de Communes ou Office de Tourisme des informations propres à la gestion de la taxe de séjour (montant/suivi déclaration/suivi facturation).
MEDSEA_CH7_Product_2 / Monthly time series of Water Discharge (Qw) [m3/s]
Monthly time series of Water Discharge (Qw) [m3/s] from in situ and model data
MEDSEA_CH6_Product_4 / Maps showing differences between most recent TRIX estimates (2008-2012) and TRIX from the earlier periods 1998-2002 and 1993-1997
TRIX differences between the periods 2008-2012 minus 1998-2002, and 2008-2012 minus 1993-1997, are provided.
Abondance d’œufs de callionymes (Callionymus sp) observée lors de la campagne scientifique IBTS sur la période 2006 – 2010
L'abondance d’œufs de callionymes (Callionymus sp) est exprimée en nombre d’œufs par m3. Les œufs ont été prélevés lors de la campagne IBTS (2006-2010) avec une pompe (CUFES) qui filtre les particules de plus de 500 microns. Données utilisées dans le cadre d'une étude visant à l'identification de zones de moindres contraintes pour l'exploitation de granulats (étude confiée par le Ministère chargé de l'écologie).
Bretagne, Sud Gascogne, Atlantique, Manche
halieutique, SIH, Système d'informations halieutiques, peche
obligation de citation : source Ifremer - Système d'Informations Halieutiques
Quatre critères, issus des observations des campagnes scientifiques halieutiques, sont établis pour estimer la sensibilité des ressources halieutiques face aux extractions de granulats marins : - "Communauté" (campagnes CGFS, EVHOE, LANGOLF, ORHAGO , COPER, COMOR et COSB ) - "Nourricerie" (campagnes Nurse Vilaine, Nurse Loire Gironde , PECOS, Baie de Seine, Baie de Somme, LANGOLF) - "Frayère" (campagnes IBTS et SOLDET) - "Diversité" (campagnes Baie de Seine, Baie de Somme, CGFS, EVHOE, LANGOLF, Loire-Gironde, Nurse, ORHAGO, PECOS) Les individus prélevés lors des campagnes halieutiques sont déterminés (niveau espèce), comptés et mesurés. Un choix a ensuite été fait sur la liste des espèces à considérer pour cette étude. Pour les critères "Communauté", "Nourricerie" et "Frayère", les résultats des calculs d'abondances de ces espèces observées sont représentés selon une grille établie pour chaque campagne avec une résolution adaptée. Pour le critère "Diversité", l'indice de Margalef, qui standardise la richesse spécifique par le nombre d'individus de l’échantillon pour chaque prélèvement, est également représenté selon une grille établie pour chaque campagne avec une résolution adaptée. Les abondances sont ensuite moyennées par espèce ou groupe d'espèce, toutes campagnes confondues. Les données de chaque critère sont classées par quartiles afin de les représenter sans masquer la variabilité spatiale. Une donnée de synthèse est générée pour chaque critère, en moyennant les quartiles. Puis une donnée de synthèse des ressources halieutiques est obtenue de la même façon, à partir des synthèses des quatre critères Ces données, traitées dans l'environnement R, sont ensuite exportées vers Arcgis pour les mises en forme et pour la gestion de la bancarisation dans Sextant. Pour plus de détails, consulter les rapports disponibles sur le site https://sextant.ifremer.fr/fr/web/granulats-marins
FR-330-715-368-00032-IFR_MODEL_CURVIGIRONDE https://sextant.ifremer.fr/record/44ac4d72-c606-42ba-bf22-89e6520e0894/
Hydrodynamics and sediment dynamics hindcast in the Gironde Estuary (France), produced by coupling the hydrodynamics model MARS3D (with sediment dynamics module MUSTANG) and wave spectral model WAVEWATCH III®.
/Physical Environment/Coastal Hydrodynamics
curvigironde_hindcast (2010-2018): spatial resolution from 100m in the estuary to 2km offshore in the Bay of Biscay, 10 equidistant sigma layers, dt=1h Atmospheric forcings : Météo-France Arome (1.3x1.3km², dt=1h) Waves at open boundary : WWIII-NORGASUG (Ardhuin, 2012) (5x5km², dt=1h) Open boudary conditions : MARS3D-MANGAE2500 (2.5x2.5km², dt=1h) Surges: MARS2D-MANGA (0.7x0.7km2, dt=1h) Directory architecture /hydro (NetCDF) variables for water parameters (level, current, salinity), waves (Hs, Dir), suspended sediment concentration SSC (1 mud, 3 sands, 1 gravel). /sedim (NetCDF) variables for bed properties (wave-induced, current-induced and total bottom stress, bottom orbital velocities, sediment thickness and composition) /demerliac (NetCDF) demerliac-averaged hydrodynamics variables /border (CSV) sediment budgets and fluxes along specific borders /station (NetCDF) water column variables at specific location within the estuary and at the mouth This numerical hindcast is based on the work of Diaz et al. [2020] and Diaz et al. [2024]: - Diaz, M., Grasso, F., Le Hir, P., Sottolichio, A., & Caillaud, M. Investigating sediment dynamics on a continental shelf mud patch under the influence of a macrotidal estuary: a numerical modeling analysis, Continental Shelf Research, Volume 282, https://doi.org/10.1016/j.csr.2024.105334 - Diaz, M., Grasso, F., Le Hir, P., Sottolichio, A., Caillaud, M., & Thouvenin, B. (2020). Modeling Mud and Sand Transfers Between a Macrotidal Estuary and the Continental Shelf: Influence of the Sediment Transport Parameterization. Journal of Geophysical Research: Oceans, 125, e2019JC015643. https://doi.org/10.1029/2019JC015643
EMODnet Bathymetry - Quality index version 2022
EMODnet bathymetry is composed of a multitude of datasets from a multitude of data providers. Users of the resulting grid and associated datasets need to be able to evaluate at the grid node level the quality of the bathymetric data and product they will be using. For this EMODnet Bathymetry has introduced a Quality index (QI). The QI is available as a WFS service providing vector data and as WMS providing the QI as an image service. The aim of the quality index is to: • help data users to evaluate quickly the dataset they are about to request, • indicate to the EMODnet Basin coordinators what are the limitations of the dataset they are about to merge while building the EMODnet DTM and to • be used as the basis of the evaluation of the quality of the EMODnet DTM. Service URL: https://ows.emodnet-bathymetry.eu/wfs
Creative Commons Attribution 4.0 International
The EMODnet Quality indicator is an integral part of the matadata associated with each individual data set that contributed to the EMODnet DTM and comprises of the following sub indicators (possible values are indicated: QI_Horizontal 0: Unknown or > 500m (That is grossly equivalent to TACAN, OMEGA systems or similar) 1: between 500m and 50m (That is grossly equivalent to LORAN, DECCA systems or similar) 2: between 50m and 20m (That is grossly equivalent to natural GPS systems) 3: < 20m (GPS with correction) (That is grossly equivalent to aided GPS system DGPS, RTK …) QI_Vertical 0: Unknown, plummet, leadline 1: SBES Low Frequency, SDB (similar than 2+5%d) 2: MBES low frequency (lower than 100kHz) (similar than 1+2%d) 3: Lidar, SBES High Frequency 4: MBES High frequency (higher that 100kHz) (1+0.5%d) QI_Age 0: 30y – oldest date (geological structural, tidal basin changes,) 1: 10y – 30y 2: 5y – 10y (erosion/deposition at the scale of structure like continental shelf / canyons…) 3: 0y – 5y (time frame of dune migration or coastal shoreface modifications) QI_Purpose 0: Purpose of the survey unknown (historical survey with no associated information) 1: Transit and/or opportunity 2: Bathymetric/morphologic survey 3: Hydrographic survey or compatible with hydrographic standards QI_Combined A statistical result of the above mentioned sub indicators
Global Ocean- Delayed Mode gridded CORA- In-situ Observations objective analysis in Delayed Mode
'''Short description:''' For the Global Ocean- Gridded objective analysis fields of temperature and salinity using profiles from the reprocessed in-situ global product CORA (INSITU_GLO_TS_REP_OBSERVATIONS_013_001_b) using the ISAS software. Objective analysis is based on a statistical estimation method that allows presenting a synthesis and a validation of the dataset, providing a validation source for operational models, observing seasonal cycle and inter-annual variability. Acces through CMEMS Catalogue after registration: http://marine.copernicus.eu/ '''Detailed description:''' The operational analysis system set up by the in-situ TAC Global component operated by Coriolis data centre. It produces temperature and salinity gridded fields. The system is based on a statistical estimation method (objective analysis). This system allows presenting a synthesis and a validation of the dataset, providing a validation source for operational models, observing seasonal cycle and inter-annual variability.
The myOcean products depends on other products for production or validation. The detailed list of dependencies is given in ISO19115's aggregationInfo (ISO19139 Xpath = "gmd:MD_Metadata/gmd:identificationInfo/gmd:aggregationInfo[./gmd:MD_AggregateInformation/gmd:initiativeType/gmd:DS_InitiativeTypeCode/@codeListValue='upstream-validation' or 'upstream-production']")
Mineral resources - Support activities for other mining and quarrying (NACE : B.09.90)
This map presents all layers corresponding to "Support activities for other mining and quarrying" activities in the Atlantic area. For more information about this NACE code : https://ec.europa.eu/eurostat/ramon/nomenclatures/index.cfm?TargetUrl=DSP_NOM_DTL_VIEW&StrNom=NACE_REV2&StrLanguageCode=EN&IntPcKey=18496274&IntKey=18496304&StrLayoutCode=HIERARCHIC&IntCurrentPage=1
The MOSES economic database describes marine activities in the Atlantic Area. Its three dimensions include a set of selected marine activities, a set of yearly economic indicators characterizing each activity, and a common time frame for the indicators, 2013- 2015. Marine economic activities are identified based on the NACE. The NACE hierarchical classification of economic activities, used by Eurostat, is exhaustive without overlaps. Each activity is classified by NACE class with one code per class. Using data resources from Eurostat and member states’ statistical institutes, the MOSES database provides access to economic documentation by activity. The spatial boundaries for measurement of marine economic activities are based on the European territorial classification referred to as the "Nomenclature of territorial units for statistics" (NUTS). The NUTS includes countries (levels 0 and possibly 1 of the NUTS) and regions (levels 2 and 3). The coverage of the database is limited to countries and coastal regions of the Atlantic Area. Economic indicators are selected among those currently used by these sources for developing the Structural Business Statistics and National Accounts. Such indicators are available at NUTS0. Generally, at NUTS2 and NUTS3 levels (regions and sub-regions), only the number of establishments and employment data can be documented. A small number of NUTS2 units of the Atlantic Area have developed more detailed economic databases providing additional economic indicators. The MOSES database includes specific "proxies" supplementing economic indicators at a country and/or region level. Proxies are non-monetary indicators characterizing important features of marine activities. The time frame of the MOSES database is 2013-2015.
Reptile abundance | Threatened and/or declining reptile species | EMODnet Secretariat | Reptile
Introduction of non-indigenous species in Europe Seas, Jan. 2020
The dataset represents the introduction of non-indigenous species in European seas. Non-indigenous species are species that have been spread as a result of human activities to areas where they do not belong naturally. The main concern are the invasive species, which are defined as causing a significant negative impact on biodiversity as well as serious economic and social consequences. The dataset has been prepared first by individually mapping each aquatic invasive species that had a distinctive distribution area, which had been provided by several non-indigenous species online databases. The distribution of the species were then resampled into the EEA 10 km grid and summed together, showing the number of non-indigenous species per grid cell. The temporal reference of the dataset covers the last 30 years (1989 - 2018). This dataset has been prepared for the calculation of the combined effect index, produced for the ETC/ICM Report 4/2019 "Multiple pressures and their combined effects in Europe's seas" available on: https://www.eionet.europa.eu/etcs/etc-icm/etc-icm-report-4-2019-multiple-pressures-and-their-combined-effects-in-europes-seas-1.
License CC-BY 4.0 (https://creativecommons.org/licenses/by/4.0/). Copyright holder: European Environment Agency (EEA).
The dataset was made by first individually mapping each aquatic invasive species that had a distinctive distribution area. The distinctive distribution areas for all species were based on information from various non-indigenous species online databases: • Algaebase.org • Nobanis.org • Marinespecies.org • Cabi.org • Europe-aliens.org • Ciesm.org • Invasions.si.edu/nemesis/ • iucn.org • iucngisd.org/gisd/ • Eol.org • Marlin.ac.uk The distribution was mapped according to the information from the aforementioned databases into the EEA 10 km grid. If the species was observed only occasionally in the area, it was not considered sufficient for the distribution of that area. If the species was reported ‘often observed’ in the area, the area was included in its distribution. The Mediterranean area was also supplemented by information on the distribution of non-indigenous species provided by local experts. All species layers were summed together into one raster, showing the number of non-indigenous species per grid cell.
JAVERLHAC-ET-LA-CHAPELLE-SAINT-ROBERT (24214)
Services d'utilité publique et services publics
/Milieu biologique/Espèces/Espèces d'intérêt halieutique
Atlantic - CH02 - Marine Protected Areas
Use of open search engines, searching by name either the data provider or the characteristics
There is detailed information provided to understand data policy
Format not proprietary and content clearly specified (e.g. autodescriptive like ODV, NetCDF CF) or at least with appropriate document describing the content
Threatened and/or declining reptile species
The datasets are provided through an EU Inspire catalogue service (OGC)
Identification and characterisation of winter spawning ground in the English Channel and Southern North Sea. PhD Thesis, Université de Nantes
Delineating recurrent fish spawning habitats in the North Sea
The effectiveness of the continuous underway fish egg sampler compared with standard vertical plankton hauls for sampling the eggs of demersal species in the southern North Sea
The MOSES economic database : methodology and framework
Support activities for other mining and quarrying
Ifremer - Sciences et Technologies Halieutiques