Swath sonar bathymetry data used for that dataset was recorded during RV MARIA S. MERIAN cruise MSM62/2 using Kongsberg EM1002 multibeam echosounder. The cruise took place between 23.03.2017 and 27.03.2017 in the Baltic Sea. The cruise aimed to investigate the impact of the Littorina transgression on the inflow of saline waters into the western Baltic and assessed the potential for future diminution of ventilation in the central and northern deeper basins due to isostatic uplift [CSR]. CI Citation: Paul Wintersteller (seafloor-imaging@marum.de) as responsible party for bathymetry raw data ingest and approval. During the MSM62/2 cruise, the moonpooled KONGSBERG EM1002 multibeam echosounder (MBES) was utilized to perform bathymetric mapping in shallow depths. The echosounder has a curved transducer in which 111 beams are formed for each ping while the seafloor is detected using amplitude and phase information for each beam sounding. For further information on the system, consult https://www.km.kongsberg.com/. Postprocessing and products were conducted by the Seafloor-Imaging & Mapping group of MARUM/FB5, responsible person Paul Wintersteller (seafloor-imaging@marum.de). The open source software MB-System (Caress, D. W., and D. N. Chayes, MB-System: Mapping the Seafloor, https://www.mbari.org/products/research-software/mb-system, 2017) was utilized for this purpose. A sound velocity correction profile was applied to the MSM62/2 data; there were no further corrections for roll, pitch and heave applied during postprocessing. A tide correction was applied, based on the Oregon State University (OSU) tidal prediction software (OTPS) that is retrievable through MB-System. CTD measurements during the cruise were sufficient to represent the changes in the sound velocity throughout the study area. Using Mbeditviz, artefacts were cleaned manually. NetCDF (GMT) grids of the edited data as well as statistics were created with mbgrid. The published bathymetric EM1002 grid of the cruise MSM62/2 has a resolution of 15 m. No total propagated uncertainty (TPU) has been calculated to gather vertical or horizontal accuracy. A higher resolution is, at least partly, achievable. The grid extended with _num represents a raster dataset with the statistical number of beams/depths taken into account to create the depth of the cell. The extended _sd -grid contains the standard deviation for each cell. The DTMs projections are given in Geographic coordinate system Lat/Lon; Geodetic Datum: WGS84.
Swath sonar bathymetry data used for that dataset was recorded during RV MARIA S. MERIAN cruise MSM51/1 using Kongsberg EM1002 multibeam echosounder. The cruise took place between 01.02.2016 and 27.02.2016 in the Baltic Sea. The cruise aimed to perform seismo- and hydroacoustic surveys, sampling of Holocene sediments and to investigate the water column wintertime mixing close to sea-ice limits. These surveys improved the understanding of variations in the ventilation of the deeper Baltic, considering not only external climate forcing but also the effects of postglacial sealevel rise and isostatic uplift [CSR]. CI Citation: Paul Wintersteller (seafloor-imaging@marum.de) as responsible party for bathymetry raw data ingest and approval. During the MSM51-1 cruise, the moonpooled KONGSBERG EM1002 multibeam echosounder (MBES) was utilized to perform bathymetric mapping in shallow depths. 111 beams are formed for each ping while the seafloor is detected using amplitude and phase information for each beam sounding. For further information on the system, consult https://www.km.kongsberg.com/. Postprocessing and products were conducted by the Seafloor-Imaging & Mapping group of MARUM/FB5, responsible person Paul Wintersteller (seafloor-imaging@marum.de). The open source software MB-System (Caress, D. W., and D. N. Chayes, MB-System: Mapping the Seafloor, https://www.mbari.org/products/research-software/mb-system, 2017) was utilized for this purpose. A sound velocity correction profile was applied to the MSM51-1 data; there were no further corrections for roll, pitch and heave applied during postprocessing. A tide correction was applied, based on the Oregon State University (OSU) tidal prediction software (OTPS) that is retrievable through MB-System. CTD measurements during the cruise were sufficient to represent the changes in the sound velocity throughout the study area. Using Mbeditviz, artefacts were cleaned manually. NetCDF (GMT) grids of the edited data as well as statistics were created with mbgrid. The published bathymetric EM1002 grid of the cruise MSM51-1 has a resolution of 15 m. No total propagated uncertainty (TPU) has been calculated to gather vertical or horizontal accuracy. A higher resolution is, at least partly, achievable. The grid extended with _num represents a raster dataset with the statistical number of beams/depths taken into account to create the depth of the cell. The extended _sd -grid contains the standard deviation for each cell. The DTMs projections are given in Geographic coordinate system Lat/Lon; Geodetic Datum: WGS84.
Swath sonar bathymetry data used for that dataset was recorded during RV MARIA S. MERIAN cruise MSM52 using Kongsberg EM1002 multibeam echosounder. The cruise took place between 01.03.2016 and 28.03.2016 in the Baltic Sea. The cruise aimed gapless imagining of the major pre-alpine tectonic lineaments due to the fact that the Glückstadt Graben and the Avalonia-Baltica suture zone run across the southern Baltic [DOI: 10.2312/cr_msm52]. CI Citation: Paul Wintersteller (seafloor-imaging@marum.de) as responsible party for bathymetry raw data ingest and approval. During the MSM52 cruise, the moonpooled KONGSBERG EM1002 multibeam echosounder (MBES) was utilized to perform bathymetric mapping in shallow depths. It has a curved transducer of which 111 beams are formed for each ping while the seafloor is detected using amplitude and phase information for each beam sounding. For further information on the system, consult https://www.km.kongsberg.com/. Generally, the system was acquiring data throughout the entire cruise. Responsible person during this cruise / PI: Laura Frahm. Postprocessing and products were conducted by the Seafloor-Imaging & Mapping group of MARUM/FB5, responsible person Paul Wintersteller (seafloor-imaging@marum.de). The open source software MB-System (Caress, D. W., and D. N. Chayes, MB-System: Mapping the Seafloor, https://www.mbari.org/products/research-software/mb-system, 2017) was utilized for this purpose. A sound velocity correction profile was applied to the MSM52 data; there were no further corrections for roll, pitch and heave applied during postprocessing. A tide correction was applied, based on the Oregon State University (OSU) tidal prediction software (OTPS) that is retrievable through MB-System. CTD measurements during the cruise were sufficient to represent the changes in the sound velocity throughout the study area. Using Mbeditviz, artefacts were cleaned manually. NetCDF (GMT) grids of the edited data as well as statistics were created with mbgrid. The published bathymetric EM1002 grid of the cruise MSM52 has a resolution of 35 m. No total propagated uncertainty (TPU) has been calculated to gather vertical or horizontal accuracy. A higher resolution is, at least partly, achievable. The grid extended with _num represents a raster dataset with the statistical number of beams/depths taken into account to create the depth of the cell. The extended _sd -grid contains the standard deviation for each cell. The DTMs projections are given in Geographic coordinate system Lat/Lon; Geodetic Datum: WGS84.
Das Projekt "Open Circular-Collaboration-Platform for Sustainable Food Packaging from Plastics" wird/wurde ausgeführt durch: SKZ - KFE gGmbH.Various informational and market conditions, whose development can be traced back to a linear economy, currently also prevent an increased closing of the loop as well as the reduction of material use in the application case of plastic packaging for food. The project objective of COPPA is therefore to develop and demonstrate an open and scalable Circular Collaboration Platform (CCP) that creates the following functionalities for recyclers, plastic reprocessors / converters, packaging manufacturers and food retailers: · Establishing seamless tracking of plastics · Enabling a better exchange of information for automated quality proof, prediction of availability, etc. · Proof of recycled content and recycled quality of products and material batches · Proof of origin or owner as a dynamised property per batch/ main ingredient. · Development of a smart contract model for value chains - in the sense of democratised and notarised plastics processing. · Provision of decision-making aids for the reduction of packaging material and the use of recycled material as a conceptual approach or as a control instrument (dashboard) · Precise verification of sustainability effects through reduced material consumption and increased use of recycled materials (CO2 or resource savings according to relevant material groups). With the aim of enabling both material savings and an increased recycled content in plastic packaging through networking, control and tracking, the CCP is to bring together digital solution approaches as a system solution; in accordance with the FAIR principles, data should be 'Findable, Accessible, Interoperable, and Re-usable'. The project result should represent a practical demonstrator (Technology Readiness Level 5-6), which at the end of the implementation phase will be accessible to all companies in the entire food chain in a non-discriminatory and freely available manner.
Das Projekt "Umweltgerechte Nutzung unserer Ressourcen an der Schwelle zum naechsten Jahrhundert" wird/wurde gefördert durch: Deutsche Bundesstiftung Umwelt. Es wird/wurde ausgeführt durch: Alfred-Wegener-Stiftung.
Das Projekt "Modellregion Bioökonomie im Rheinischen Revier: BL1-3 - Bio4Clean, Funktionale Diole und Diamine als Bausteine neuer nachhaltiger Funktionspolymere auf Basis von regional verfügbaren nachhaltigen Rohstoffen für die Anwendung in Wasch- und Reinigungsmitteln, TP A" wird/wurde gefördert durch: Bundesministerium für Forschung, Technologie und Raumfahrt. Es wird/wurde ausgeführt durch: Henkel AG & Co. KGaA.
Ein Bestandteil des Digitalen Feldblockkatasters ist die Förderkulisse der benachteiligten Gebiete. Dabei handelt es sich insbesondere um Flächen, deren Ertragsfähigkeit natürlich stark begrenzt ist, wie das beispielsweise bei Sandböden der Fall sein kann. Die benachteiligten Gebiete wurden nach Vorgaben der Europäischen Union abgegrenzt. Damit derart problematische Landwirtschaftsflächen nicht brach fallen und weiter bewirtschaftet werden, gewährt das Land Brandenburg eine Beihilfe, die sogenannte Ausgleichszulage.
Dieser Dienst stellt für das INSPIRE-Thema Energiequellen aus den Datensätzen Biogasanlagen und Windkraftanlagen im Saarland umgesetzte Daten bereit.:Dieser Layer visualisiert die saarländischen Ressourcen erneuerbarer Energien und Abfallressourcen modelliert mit den entsprechenden Geofachdaten. Die Datengrundlage erfüllt die INSPIRE Datenspezifikation.
The KOR250 (INSPIRE) in the scale of 1:250,000 shows occurrences and deposits of mineral resources in Germany, which lie close to the Earth’s surface, i.e. can be mined in open-pits, quarries or near-surface mines. These mineral resources include industrial minerals, aggregates, peat, lignite, oil shales, and natural brines. The map is derived from the KOR250, the digital successor of the map series KOR200 „Map of Near-Surface Deposits of the Federal Republic of Germany 1:200,000”, which has been published since 1984. The KOR200 and KOR250 have been published by the Federal Institute for Geosciences and Natural Resources together with the State Geological Surveys of the federal states on behalf of the Federal Ministry for Economic Affairs and Energy. Primary purpose of the KOR250 is to display Germany’s potential of domestic raw materials in a comparable way. The explanations given in the printed booklets accompanying the KOR200 are not available in the digital KOR250. In the KOR250 besides the defined deposits and differently coloured areas of raw materials, "active mines" (= operations) at time of publication or "focal points of several active mines" are marked with one symbol each. These mines are not included in the KOR250 (INSPIRE) as often the headquarters of the mining company and not the mining site itself is displayed as well as in many regions the dataset is outdated. As the map sheets of the KOR200 have been generated over more than three decades the timeliness of data is extremely different. For more detail, the current large-scale raw material maps of the Federal State Geological Surveys should always be consulted. The point data displayed in KOR250 (INSPIRE) indicate very small, but worth mentioning prospects of certain raw materials. According to the Data Specification on Mineral Resources (D2.8.III.21) the content of the map is stored in two INSPIRE-compliant GML files: KOR250_EarthResource_polygon.gml comprises the mineral resources as polygons. KOR250_EarthResource_point.gml comprises the mineral resources as points. The GML files together with a Readme.txt file are provided in ZIP format (KOR250-INSPIRE.zip). The Readme.text file (German/English) contains detailed information on the GML files content. Data transformation was proceeded by using the INSPIRE Solution Pack for FME according to the INSPIRE requirements. Notes: It should be noted that according to the INSPIRE commodity code list, most magmatites and metamorphites were assigned to the two values "granite" and "basalt". From a geological point of view and with regard to its origin, this assignment is often misleading. For more information on the outcropping rock of a specific raw material occurrence, the German name from the original KOR250 was mapped to the attribute name of the class GeologicFeature. Link KOR200: https://www.bgr.bund.de/EN/Themen/Min_rohstoffe/Projekte/Rohstoffverfuegbarkeit_laufend_en/KOR_200_en.html
Nicht-konventionelle KW (INSPIRE) presents the results of the NiKo project according to data specifications Energy Resources (D2.8.III.20) und Geology (D2.8.II.4_v3.0). NiKo stands for „unconventional hydrocarbons“, „Nicht-konventionelle Kohlenwasserstoffe“ in German. In the NiKo project the Federal Institute for Geosciences and Natural Resources (BGR) has investigated the potential resources for shale oil and shale gas in Germany. The study was published in 2016 as a report titled „Schieferöl und Schiefergas in Deutschland – Ressourcen und Umweltaspekte“ (available in German only). The colloquial terms shale oil and shale gas refer to oil and natural gas resources in sedimentary shale rock formations, with high organic matter content. In the study, seven formations were identified to have a shale oil and/or gas potential in Germany and their distribution has been mapped in small scale. For each of the formations the organic-rich facies distribution is provided and, if appropriate, the regional potential resource distribution: Fischschiefer (Oligocene), Blättertone (Barremium - Lower-Aptian), Wealden (Berriasium), Posidonienschiefer (Lower-Toarcium), Middel-Rhaetium (Oberkeuper), Permokarbon (Stefanium - Rotliegend) und Lower Carboniferous (Upper Alaunschiefer (Kulm-Facies) + Kohlenkalk-Facies). Corresponding to the overview maps in the report two GML-files for these layers are provided, omitting however the sub-category “possible potential regions”. Bituminous facies distribution (0-5000 m Tiefe) – data specification Geology: GeologicUnit.Distribution_of_bituminous_facies.gml Distribution shale oil and shale gas – potential resources (1000 - 5000 m Tiefe) – data specification Energy Resources: FossilFuelRessource_Potential_resource_regions.gml The distribution maps of the potential resources for shale oil and gas are based on geoscientific criteria. Further non-geoscientific limiting criteria, e.g. exclusion areas, have not been taken into account for the assessment. These assessments are based on appraisements of input parameters naturally with large uncertainties for the potential resources and their distribution in the deep underground. Based on the incipient exploration status of unconventionals in Germany, these resources are considered as undiscovered. The assessed shale oil and gas resources for Germany, represent the order of magnitude of potential resources. Reference: BGR 2016 - Schieferöl und Schieferöl in Deutschland- Potenziale und Umweltaspekte https://www.bgr.bund.de/DE/Themen/Energie/Downloads/Abschlussbericht_13MB_Schieferoelgaspotenzial_Deutschland_2016.html
