Laser scanning point clouds of forest stands were acquired in southwest Germany in 2019 and 2020 from different platforms: an aircraft, an uncrewed aerial vehicle (UAV) and a ground-based tripod. The UAV-borne and airborne laser scanning campaigns cover twelve forest plots of approximately 1 ha. The plots are located in mixed central European forests close to Bretten and Karlsruhe, in the federal state of Baden-Württemberg, Germany. Terrestrial laser scanning was performed in selected locations within the twelve forest plots. Airborne and terrestrial laser scanning point clouds were acquired under leaf-on conditions, UAV-borne laser scans were acquired both under leaf-on and later under leaf-off conditions. In addition to the laser scanning campaigns, forest inventory tree properties (species, height, diameter at breast height, crown base height, crown diameter) were measured in-situ during summer 2019 in six of the twelve 1-ha plots. Single tree point clouds were extracted from the different laser scanning datasets and matched to the field measurements. For each tree entry, point clouds, tree species, position, and field-measured and point cloud-derived tree metrics are provided. For 249 trees, point clouds from all three platforms are available. The tree models form the basis of a single tree database covering a range of species typical for central European forests which is currently being established in the framework of the SYSSIFOSS project.
Which salt formations are suitable for storing hydrogen or compressed air? In the InSpEE-DS research project, scientists developed requirements and criteria for the assessment of suitable sites even if their exploration is still at an early stage and there is little knowledge of the salinaries’ structures. Scientists at DEEP.KBB GmbH in Hanover, worked together with their project partners at BGR and the Leibniz University Hanover, Institute for Geotechnics, to develop the planning basis for the site selection and for the construction of storage caverns in flat layered salt and multiple or double saliniferous formations. Such caverns could store renewable energy in the form of hydrogen or compressed air. While the previous project InSpEE was limited to salt formations of great thickness in Northern Germany, salt horizons of different ages have now been examined all over Germany. To estimate the potential, depth contour maps of the top and the base as well as thickness maps of the respective stratigraphic units were developed. Due to the present INSPIRE geological data model, it was necessary, in contrast to the original dataset, to classify the boundary lines of the potential storage areas in the Zechstein base and thickness layers, whereby the classification of these lines was taken from the top Zechstein layer. Consequently, the boundary element Depth criterion 2000 m (Teufe-Kriterium 2000 m) corresponds on each level to the 2000 m depth of Top Zechstein. However, the boundary of national borders and the boundary of the data basis could not be implemented in the data model and are therefore not included in the dataset. Information on compressed air and hydrogen storage potential is given for the identified areas and for the individual federal states. According to the Data Specification on Geology (D2.8.II.4_v3.0) the content of InSpEE-DS (INSPIRE) is stored in 18 INSPIRE-compliant GML files: InSpEE_DS_GeologicUnit_Isopachs_Zechstein.gml contains the Zechstein isopachs. InSpEE_DS_GeologicUnit_Isobaths_Top_Zechstein.gml and InSpEE_DS_GeologicUnit_Isobaths_Basis_Zechstein.gml contain the isobaths of the top and basis of Zechstein. The three files InSpEE_DS_GeologicStructure_ThicknessMap_Zechstein, InSpEE_DS_GeologicStructure_Top_Zechstein and InSpEE_DS_GeologicStructure_Basis_Zechstein represent the faults of the Zechstein body as well as at the top and at the basis of the Zechstein body. InSpEE_DS_GeologicUnit_Boundary_element_Potential_areas_Zechstein.gml contains the boundary elments of the potential areas at the top and the basis of Zechstein as well as of the Zechstein body. The three files InSpEE_DS_GeologicUnit_Uncertainty_areas_ThicknessMap_Zechstein.gml, InSpEE_DS_GeologicUnit_Uncertainty_areas_Top_Zechstein.gml, InSpEE_DS_GeologicUnit_Uncertainty_areas_Basis_Zechstein.gml represent the uncertainty areas of the Zechstein body as well as at the top and at the basis of the Zechstein body. InSpEE_DS_GeologicUnit_Potentially_usable_storage_areas_Storage_potential_in_the_federal_states.gml comprises the areas with storage potential for renewable energy in the form of hydrogen and compressed air. The six files InSpEE_DS_GeologicUnit_Salt_distribution_in_Germany_Malm.gml, InSpEE_DS_GeologicUnit_Salt_distribution_in_Germany_Keuper.gml, InSpEE_DS_GeologicUnit_Salt_distribution_in_Germany_Muschelkalk.gml, InSpEE_DS_GeologicUnit_Salt_distribution_in_Germany_Roet.gml, InSpEE_DS_GeologicUnit_Salt_distribution_in_Germany_Zechstein.gml and InSpEE_DS_GeologicUnit_Salt_distribution_in_Germany_Rotliegend.gml represent the salt distribution of the respective stratigraphic unit. InSpEE_DS_GeologicUnit_General_salt_distribution.gml represents the general salt distribution in Germany. This geographic information is product of a BMWi-funded research project "InSpEE-DS" running from the year 2015 to 2019. The acronym stands for "Information system salt: planning basis, selection criteria and estimation of the potential for the construction of salt caverns for the storage of renewable energies (hydrogen and compressed air) - double saline and flat salt layers".
<p>This data set contains fish occurrence and abundance data for 72 freshwater fish species (native and non-native) for 12 federal states (Berlin, Brandenburg, Hesse, Mecklenburg- West Pomerania, Lower Saxony, Bremen, North Rhine-Westphalia, Saarland, Saxony-Anhalt, Saxony, Schleswig-Holstein, Thuringia) in Germany, This geographic extent covers mostly middle and north Germany, including the basins of Maas, Weser, Ems, Elbe, Oder, and middle Rhine, while excluding the Danube River Basin and the upper Rhine Basin. The data set has been collected by federal authorities and experts at 12007 sampling sites for the purpose Water Framework or Habitats Directive monitoring across the aforementioned federal states: (1) Berlin 159 sampling sites data provided by „Fischereiamt Berlin“ (2) Brandenburg 1179 sampling sites data provided by „Landesamt fuer Umwelt Brandenburg, Referat W14 (Oberflaechengewaesserguete)“ (3) Bremen 37 sampling sites data provided by „Die Senatorin fuer Klimaschutz, Umwelt, Mobilität, Stadtentwicklung und Wohnungsbau, Contrescape 72, 28195 Bremen“ (4) Hesse 988 sampling sites data provided by "Hessisches Landesamt fuer Naturschutz, Umwelt und Geologie (HLNUG), Dezernat Gewaesseroekologie" (5) Mecklenburg-West Pomerania 260 sampling sites data provided by "Landesamt fuer Umwelt, Naturschutz und Geologie (LUNG) Mecklenburg-Vorpommern" (6) North Rhine-Westphalia 2118 sampling sites data provided by "fischinfo.naturschutzinformationen.nrw.de" (7) Lower Saxony 530 sampling sites data provided by "Niedersaechsisches Landesamt fuer Verbraucherschutz und Lebensmittelsicherheit (LAVES), Dezernat Binnenfischerei, Hannover" (8) Saarland 63 sampling sites data provided by "Landesamt fuer Umwelt und Arbeitsschutz Saarland, Fachbereich Gewaesseroekologie" (9) Saxony 3735 sampling sites data provided by "LfULG (2021): Auszug aus der Fischdatenbank SaFiDB" (10) Saxony-Anhalt 436 sampling sites data provided by "Landesverwaltungsamt Sachsen-Anhalt Halle (Saale) & Institut fuer Binnenfischerei Potsdam-Sacrow e.V.: Fischartenkataster des Landes Sachsen-Anhalt 1992-2021" (11) Schleswig-Holstein 1881 sampling sites data provided by "Landesamt fuer Landwirtschaft, Umwelt und laendliche Raeume des Landes Schleswig-Holstein" (12) Thuringia 621 sampling sites data provided by "Fischdatenbank Thueringen" The whole data set covers a time-span from 1985 to 2020, but the main time span, for which we know that all federal states delivered most of the available data, was 2000 to 2020. However, 6246 of the sites were only sampled once. All other sites have been sampled at least twice and one site was sampled 20 times. For each sampling event, the dataset includes information on species (latin name), number of individuals caught, sampling location (name, type (lake or river)), location (names of broader water-bodies, coordinates), sampling effort (in most cases length, but sometimes duration or area), sampling method (mostly electrofishing, but sometimes others). As most data were collected for Water Framework or Habitats Directive monitoring, it can be expected that all caught species were reported. However, the original dataset only reported detections, and not absences. Hence, here, we included zero values for all species that were not reported at a site in one year, but were present in another year at that site.</p>
Which salt formations are suitable for storing hydrogen or compressed air? In the InSpEE-DS research project, scientists developed requirements and criteria for the assessment of suitable sites even if their exploration is still at an early stage and there is little knowledge of the salinaries’ structures. Scientists at DEEP.KBB GmbH in Hanover, worked together with their project partners at BGR and the Leibniz University Hanover, Institute for Geotechnics, to develop the planning basis for the site selection and for the construction of storage caverns in flat layered salt and multiple or double saliniferous formations. Such caverns could store renewable energy in the form of hydrogen or compressed air. While the previous project InSpEE was limited to salt formations of great thickness in Northern Germany, salt horizons of different ages have now been examined all over Germany. To estimate the potential, depth contour maps of the top and the base as well as thickness maps of the respective stratigraphic units were developed. Due to the present INSPIRE geological data model, it was necessary, in contrast to the original dataset, to classify the boundary lines of the potential storage areas in the Zechstein base and thickness layers, whereby the classification of these lines was taken from the top Zechstein layer. Consequently, the boundary element Depth criterion 2000 m (Teufe-Kriterium 2000 m) corresponds on each level to the 2000 m depth of Top Zechstein. However, the boundary of national borders and the boundary of the data basis could not be implemented in the data model and are therefore not included in the dataset. Information on compressed air and hydrogen storage potential is given for the identified areas and for the individual federal states. According to the Data Specification on Geology (D2.8.II.4_v3.0) the content of InSpEE-DS (INSPIRE) is stored in 18 INSPIRE-compliant GML files: InSpEE_DS_GeologicUnit_Isopachs_Zechstein.gml contains the Zechstein isopachs. InSpEE_DS_GeologicUnit_Isobaths_Top_Zechstein.gml and InSpEE_DS_GeologicUnit_Isobaths_Basis_Zechstein.gml contain the isobaths of the top and basis of Zechstein. The three files InSpEE_DS_GeologicStructure_ThicknessMap_Zechstein, InSpEE_DS_GeologicStructure_Top_Zechstein and InSpEE_DS_GeologicStructure_Basis_Zechstein represent the faults of the Zechstein body as well as at the top and at the basis of the Zechstein body. InSpEE_DS_GeologicUnit_Boundary_element_Potential_areas_Zechstein.gml contains the boundary elments of the potential areas at the top and the basis of Zechstein as well as of the Zechstein body. The three files InSpEE_DS_GeologicUnit_Uncertainty_areas_ThicknessMap_Zechstein.gml, InSpEE_DS_GeologicUnit_Uncertainty_areas_Top_Zechstein.gml, InSpEE_DS_GeologicUnit_Uncertainty_areas_Basis_Zechstein.gml represent the uncertainty areas of the Zechstein body as well as at the top and at the basis of the Zechstein body. InSpEE_DS_GeologicUnit_Potentially_usable_storage_areas_Storage_potential_in_the_federal_states.gml comprises the areas with storage potential for renewable energy in the form of hydrogen and compressed air. The six files InSpEE_DS_GeologicUnit_Salt_distribution_in_Germany_Malm.gml, InSpEE_DS_GeologicUnit_Salt_distribution_in_Germany_Keuper.gml, InSpEE_DS_GeologicUnit_Salt_distribution_in_Germany_Muschelkalk.gml, InSpEE_DS_GeologicUnit_Salt_distribution_in_Germany_Roet.gml, InSpEE_DS_GeologicUnit_Salt_distribution_in_Germany_Zechstein.gml and InSpEE_DS_GeologicUnit_Salt_distribution_in_Germany_Rotliegend.gml represent the salt distribution of the respective stratigraphic unit. InSpEE_DS_GeologicUnit_General_salt_distribution.gml represents the general salt distribution in Germany. This geographic information is product of a BMWi-funded research project "InSpEE-DS" running from the year 2015 to 2019. The acronym stands for "Information system salt: planning basis, selection criteria and estimation of the potential for the construction of salt caverns for the storage of renewable energies (hydrogen and compressed air) - double saline and flat salt layers".
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.
The GBL (INSPIRE) represents mechanically drilled boreholes approved by the State Geological Surveys of Germany (SGS). Most of the drilling data were not collected by the SGS, but were transmitted to SGS by third parties in accordance with legal requirements. Therefore, the SGS can accept no responsibility for the accuracy of the information. According to the Data Specification on Geology (D2.8.II.4_v3.0) the boreholes of each federal state are stored in one INSPIRE-compliant GML file. The GML file together with a Readme.txt file is provided in ZIP format (e.g. GBL-INSPIRE_Lower_Saxony.zip). The Readme.txt file (German/English) contains detailed information on the GML file content. Data transformation was proceeded by using the INSPIRE Solution Pack for FME according to the INSPIRE requirements.
The GBL (INSPIRE) represents mechanically drilled boreholes approved by the State Geological Surveys of Germany (SGS). Most of the drilling data were not collected by the SGS, but were transmitted to SGS by third parties in accordance with legal requirements. Therefore, the SGS can accept no responsibility for the accuracy of the information. According to the Data Specification on Geology (D2.8.II.4_v3.0) the boreholes of each federal state are stored in one INSPIRE-compliant GML file. The GML file together with a Readme.txt file is provided in ZIP format (e.g. GBL-INSPIRE_Lower_Saxony. zip). The Readme.txt file (German/English) contains detailed information on the GML file content. Data transformation was proceeded by using the INSPIRE Solution Pack for FME according to the INSPIRE requirements.
The GBL (INSPIRE) represents mechanically drilled boreholes approved by the State Geological Surveys of Germany (SGS). Most of the drilling data were not collected by the SGS, but were transmitted to SGS by third parties in accordance with legal requirements. Therefore, the SGS can accept no responsibility for the accuracy of the information. According to the Data Specification on Geology (D2.8.II.4_v3.0) the boreholes of each federal state are stored in one INSPIRE-compliant GML file. The GML file together with a Readme.txt file is provided in ZIP format (e.g. GBL-INSPIRE_Lower_Saxony.zip). The Readme.txt file (German/English) contains detailed information on the GML file content. Data transformation was proceeded by using the INSPIRE Solution Pack for FME according to the INSPIRE requirements.
The GBL (INSPIRE) represents mechanically drilled boreholes approved by the State Geological Surveys of Germany (SGS). Most of the drilling data were not collected by the SGS, but were transmitted to SGS by third parties in accordance with legal requirements. Therefore, the SGS can accept no responsibility for the accuracy of the information. According to the Data Specification on Geology (D2.8.II.4_v3.0) the boreholes of each federal state are stored in one INSPIRE-compliant GML file. The GML file together with a Readme.txt file is provided in ZIP format (e.g. GBL-INSPIRE_Lower_Saxony.zip). The Readme.txt file (German/English) contains detailed information on the GML file content. Data transformation was proceeded by using the INSPIRE Solution Pack for FME according to the INSPIRE requirements.
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