Of the 300,000 t of chemical munitions manufactured in Germany up to 1945, about 40,000 t were dumped in the Baltic Sea by order of the Allies. The IMS (Internet Map Service) indicates the locations of dumped warfare agents and shows the transport routes (former save water way) to the dumping areas. Numerous witnesses reported that chemical munitions where already dumped while ships where en route. The information in this IMS is based on a report by a Federal/Länder Government Working Group "Chemical Munitions in the Baltic Sea" published by the Federal Maritime and Hydrographic Agency in 1993. The report is out of print.

Of the 300,000 t of chemical munitions manufactured in Germany up to 1945, about 40,000 t were dumped in the Baltic Sea by order of the Allies. The IMS (Internet Map Service) indicates the locations of dumped warfare agents and shows the transport routes (former save water way) to the dumping areas. Numerous witnesses reported that chemical munitions where already dumped while ships where en route. The information in this IMS is based on a report by a Federal/Länder Government Working Group "Chemical Munitions in the Baltic Sea" published by the Federal Maritime and Hydrographic Agency in 1993. The report is out of print.

'''Short description:''' Altimeter satellite along-track sea surface heights anomalies (SLA) computed with respect to a twenty-year [1993, 2012] mean. All the missions are homogenized with respect to a reference mission (see QUID document or http://duacs.cls.fr [http://duacs.cls.fr] pages for processing details). The product gives additional variables (e.g. Absolute Dynamic Topography) that can be used to change the physical content for specific needs This product is processed by the DUACS multimission altimeter data processing system. It serves in near-real time the main operational oceanography and climate forecasting centers in Europe and worldwide. It processes data from different altimeter missions as for instance Jason-3, Sentinel-3A/B,Saral-DP/AltiKa, Cryosat-2, HY-2B. It provides a consistent and homogeneous catalogue of products for varied applications, both for near real time applications and offline studies. To produce maps of SLA (Sea Level Anomalies) in near-real time, the system exploits the most recent datasets available based on the enhanced OGDR+IGDR production. The system acquires and then synchronizes altimeter data and auxiliary data; each mission is homogenized using the same models and corrections. The Input Data Quality Control checks that the system uses the best altimeter data. The multi-mission cross-calibration process removes any residual orbit error, or long wavelength error (LWE), as well as large scale biases and discrepancies between various data flows; all altimeter fields are interpolated at crossover locations and dates. After a repeat-track analysis, a mean profile, which is peculiar to each mission, or a Mean Sea Surface (MSS) (when the orbit is non repetitive) is subtracted to compute sea level anomaly. The MSS is available via the Aviso+ dissemination (http://www.aviso.altimetry.fr/en/data/products/auxiliary-products/mss.html [http://www.aviso.altimetry.fr/en/data/products/auxiliary-products/mss.html]). Data are then cross validated, filtered from residual noise and small scale signals, and finally sub-sampled (sla_filtered variable). The ADT (Absolute Dynamic Topography, adt_filtered variable) is then computed as follows: adt_filtered=sla_filtered+MDT where MDT is the Mean Dynamic Topography distributed by Aviso+ (http://www.aviso.altimetry.fr/en/data/products/auxiliary-products/mdt.html [http://www.aviso.altimetry.fr/en/data/products/auxiliary-products/mdt.html]). '''Associated products:''' A time invariant product http://marine.copernicus.eu/services-portfolio/access-to-products/?option=com_csw&view=details&product_id=SEALEVEL_GLO_NOISE_L4_NRT_OBSERVATIONS_008_032 [http://marine.copernicus.eu/services-portfolio/access-to-products/?option=com_csw&view=details&product_id=SEALEVEL_GLO_NOISE_L4_NRT_OBSERVATIONS_008_032] describing the noise level of along-track measurements is available. It is associated to the sla_filtered variable. It is a gridded product. One file is provided for the global ocean and those values must be applied for Arctic and Europe products. For Mediterranean and Black seas, one value is given in the QUID document '''DOI (product) :''' https://doi.org/10.48670/moi-00147

The satellite image covers parts of tri-national Dja-Odzala-Minkebe (TRIDOM) interzone in Cameroun.

Aims and Philosophy of the CoffeeFlux Collaborative Platform The aim of Coffee-Flux is to assess carbon, nutrients, water and sediment Ecosystem Services (ES) at the scale of a coffee agroforestry watershed and additional experiments. Observation, experimentation, modelling and remote-sensing are combined, collecting data and calibrating models locally, then upscaling to larger regions. The project has been running continuously since 2009, in order to encompass seasonal and inter-annual fluctuations of coffee productivity and ecosystem services. Coffee-flux is a platform where collaborative research on coffee agroforestry is promoted: data are being shared between collaborators and positive interactions are enhanced. The philosophy is to concentrate several investigations on one specific site and for several years, to share a useful common experimental database, to develop modelling and to publish results in highly-ranked scientific journals. Applied research is also highly encouraged (e.g. C-Neutral certification, NAMA, Agronomy, etc.). Coffee-Flux benefits from infrastructure, easy access from CATIE and very good security, ready to welcome complementary scientific investigations and collaborations. The project is wide open to complementary projects, scientists and of course to students. The core data base is for sharing.

The satellite image covers parts of tri-national Dja-Odzala-Minkebe (TRIDOM) interzone in Cameroun.

The aerial laser scanning (ALS) dataset, acquired between 8 and 9 April 2009, covers five plots of Crique Plomb and Montagne Plomb area in French Guiana. In this area. the forest presents contrasting and diversified characteristics: high forest, forest grown on ferricrust, and superficial saprolit with high density of stem per hectare. Ground echoes are available as well as a digital terrain model (DTM), a digital surface model (DSM), a digital canopy model (DCM) with a 1 meter resolution and a triangulated irregular network (TIN) digital terrain model with a precision of 5 meters.

Community Council boundaries as established by Dundee City Council under the Local Government (Scotland) Act 1973. This dataset includes all wards in the City, whether an active Community Council has been formed or not.

Observation and Experimentation Systems for Environmental Research (SOERE, AllEnvi label) are network of sites devoted to the long term study of environment. Information Systems are developed by the INRA EcoInformatic Group in order to manage data collected from the SOERE and others long-term observatory sites coordinated or jointly coordinated by INRA (F-ORE-T: forest ecosystems; ACBB: grassland and field crop agroecosystems; PRO, soils and impact of organic waste products; OLA, Observatoire des LACs alpins). The process of development of a SOERE Information System is based on a collaborative approach involving a core group of informatics engineers located in INRA Infosol Service Unit and partners from the SOERE. The whole Information System is composed by a core software component (the kernel), common to all IS, and plugins specific to the different types of data (Climate, Flux, Phytoplankton, Zooplankton...). Each IS is accessible through specific web interfaces. All components are based on Java technologies.

'''Short description:''' For the European Ocean, the L4 multi-sensor daily satellite product is a 2km horizontal resolution subskin sea surface temperature analysis. This SST analysis is run by Meteo France CMS and is built using the European Ocean L3S products originating from bias-corrected European Ocean L3C mono-sensor products at 0.02 degrees resolution. This analysis uses the analysis of the previous day at the same time as first guess field. '''DOI (product) :''' https://doi.org/10.48670/moi-00161