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Multibeam bathymetry processed data (EM 1002 echosounder entire dataset) of RV MARIA S. MERIAN during cruise MSM62/2

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.

Historische Waldgebiete Preußen im Land Brandenburg

Die Daten resultieren aus der digitalen Erfassung der Waldflächen, differenziert nach 16 Kategorien. Grundlage waren 298 Kartenblätter der zweiten Preußischen Landesaufnahme und der Topographische Karte (Äquidistantenkarte) Sachsen (Territorium Brandenburgs). Der Erfassungsmaßstab ist 1:25000. Die Aufnahme erfolgte durch die Königliche Preußische Landesaufnahme bzw. das Topographische Bureau des Königlichen Generalstabes. Der Aufnahmezeitraum der erfassten Kartenblätter liegt zwischen 1879 und 1902. Besonders hervorzuheben sind die Höhenschichtlinien zur Geländedarstellung und die relativ hohe Genauigkeit nach Einführung des metrischen Systems. Die Karten verfügen über Koordinatenangaben im Rahmen (geographische Koordinaten). Die Originalkarten befinden sich im Besitz der Staatsbibliothek zu Berlin (Preußischer Kulturbesitz) bzw. der Sächsische Landesbibliothek (Staats- und Universitätsbibliothek Dresden).

Pan-Arctic Visualization of Landscape Change (2005-2024), Arctic PASSION Permafrost Service

This raster dataset, in Cloud Optimized GeoTIFF format (COG), provides information on land surface changes at the pan-arctic scale. Multispectral Landsat-5 TM, Landsat-7 ETM+, Landsat-8 OLI, and Landsat-9 OLI-2 imagery (cloud-cover less than 70%, months July and August) was used for detecting disturbance trends (associated with abrupt permafrost degradation) between 2005 and 2024. For each satellite image, we calculated the Tasseled Cap multi-spectral index to translate the spectral reflectance signal to the semantic information Brightness, Greenness, and Wetness. In order to characterize change information, we calculated the linear trend of Brightness, Greenness, and Wetness over two decades at the individual pixel level, based on annually aggregated data. The final map product therefore contains information on the direction and magnitude of change for all three Tasseled Cap parameters at 30 m spatial resolution across the pan-arctic permafrost domain. Features detected include coastal erosion, lake drainage, infrastructure expansion, and fires. The general processing methodology was developed by Fraser et al. (2014) and adapted and expanded by Nitze et al. (2016, 2018). Here, we upscaled the processing to the circum-arctic permafrost region and applied it to the recent 20-year period from 2005 through 2024. The service covers the permafrost region up to 81° North: Alaska (USA), Canada, Greenland, Iceland, Norway, Sweden, Finland, Russia, Mongolia, and China. For Russia and China, regions not containing permafrost were excluded. The data have been processed in Google Earth Engine as part of the research projects ERC PETA-CARB, ESA CCI+ Permafrost, NSF Permafrost Discovery Gateway, and EU Arctic PASSION. The dataset is a contribution to the 'Pan-Arctic Requirements-Driven Permafrost Service' of the Arctic PASSION project (see References). Changes in the Tasseled Cap indices – Brightness, Greenness, and Wetness – are displayed in the image bands red, green, and blue, respectively. Here, coastal erosion (a trend of a land surface transitioning to a water surface) is depicted in dark blue tones, while coastal accretion (a trend of a water surface transitioning to a land surface) is depicted in bright orange colors. Drained lakes are shown in bright yellow or orange colors, depending on the soil conditions and vegetation regrowth. Fire scars are a further common feature, appearing in different colors depending on the time of the fire and the pre-fire land cover. The data can be explored via the Arctic Landscape EXplorer (ALEX; see References) and are available as a public web map service (WMS; see References), both hosted by Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research.

A catalog of landslide-triggered tsunamis

A comprehensive global catalog of landslide-triggered tsunamis (LTT) was compiled by reviewing tsunami and earthquake databases, catalogs, and scientific literature. This dataset is designed to investigate the relationship between tsunami heights and the triggering landslides' characteristics, including 354 documented cases from 6200 BC to 2024. It provides detailed information on landslide characteristics, triggering and preparatory factors, type of waterbody, tsunami wave height, inundation distance, and associated effects.

Master tracks in different resolutions of ELISABETH MANN BORGESE cruise EMB383, Rostock - Rostock, 2025-07-19 - 2025-07-20

Raw data acquired by position sensors on board RV Elisabeth Mann Borgese during expedition EMB383 were processed to receive a validated master track which can be used as reference of further expedition data. During EMB383 data from the motion reference unit exail Phins Gen.3, the Trimble SPS356 GPS receiver, the Furuno GP-170 and the Furuno GP-150 GPS receiver were used to calculate the mastertrack. Data were downloaded from DAVIS SHIP data base (https://dship.bsh.de) with a resolution of 1 sec. Processing and evaluation of the data is outlined in the data processing report. Processed data are provided as a master track with 1 sec resolution derived from the position sensors' data selected by priority and a generalized track with a reduced set of the most significant positions of the master track.

Digitales Höhenmodell Hamburg DGM 10

Abgeleitetes, flächendeckendes digitales Geländemodell mit einer Rasterweite von 10 Meter auf Basis des DGM1. Für die Fläche der Freien und Hansestadt Hamburg (ohne das Gebiet des hamburgischen Wattenmeeres) wurde in 2020 eine Laserscanvermessungen (Airborne Laserscanning) durchgeführt. Die Daten liegen im Lagestatus 310 (ETRS89/UTM) vor, mit Höhenangaben über Normalhöhennull (NHN), gemäß DE_DHHN2016_NH. Die Genauigkeit eines einzelnen Messpunktes liegt in eindeutig definierten Bereichen, wie z.B. auf Straßenflächen, bei ca. ± 105 cm. In Bereichen von Abschattungen (Brücken), Vegetation, insbesondere Flächen in Wald- und Strauchgebieten und bei stark geneigtem Gelände, ist die Genauigkeit geringer. Standardmäßig werden vom LGV folgende Rasterweiten angeboten: DGM 1 (Rasterweite 1m), DGM 10 (Rasterweite 10m), DGM 25 (Rasterweite 25m). Eine jährliche Aktualisierung dieser Daten erfolgt über Luftbildbefliegungen. Neben der reinen Bereitstellung der Höheninformation als regelmäßiges Gitter werden die Daten auch als Dienstleistung in einer Dreiecksvermaschung (TIN) abgegeben. Dabei ist ein Datenaustausch mit 2D- und 3D-CAD-Systemen sichergestellt. Als weitere Dienstleistung können z.B. Höhenlinien und Profile abgeleitet oder Volumina und Neigungen errechnet werden. Durch Integration weiterer Geobasis- und Fachdaten (Vektor- und Rasterdaten) können weitere Dienstleistungen z.B. für die Bereiche Wasserwirtschaft, Tiefbau, Umwelt und Stadtplanung sowie Energieversorgung groß- und kleinräumige Anwendungen abgeleitet werden.

Species level size-normalised weight data for at depth analysis

This dataset contains a compilation of published and new SNW data with corresponding environmental data extracted from CMIP6 that are used in the at depth species level Bayesian regression modelling. Environmental data for G. truncatulinoides comes from 200m depth, all other environmental data is from the sea surface (≤ 20 m).

Eurasian Modern Pollen Database (former European Modern Pollen Database)

The Eurasian Modern Pollen Database (EMPD) contains modern pollen data (raw counts) for the entire Eurasian continent. Derived from the European Modern Pollen Database, the dataset contains many more samples West of the Ural Mountains. We propose this dataset in three different format: 1/ an Excel spreadsheet, 2/ a PostgreSQL dump and 3/ a SQLite3 portable database format. All three datasets are strictly equivalent. For download see "Original Version".

Master tracks in different resolutions of ELISABETH MANN BORGESE cruise EMB382, Rostock - Rostock, 2025-07-15 - 2025-07-16

Raw data acquired by position sensors on board RV Elisabeth Mann Borgese during expedition EMB382 were processed to receive a validated master track which can be used as reference of further expedition data. During EMB382 data from the motion reference unit exail Phins Gen.3, the Trimble SPS356 GPS receiver, the Furuno GP-170 and the Furuno GP-150 GPS receiver were used to calculate the mastertrack. Data were downloaded from DAVIS SHIP data base (https://dship.bsh.de) with a resolution of 1 sec. Processing and evaluation of the data is outlined in the data processing report. Processed data are provided as a master track with 1 sec resolution derived from the position sensors' data selected by priority and a generalized track with a reduced set of the most significant positions of the master track.

Ready-to-use version of the Eurasian Modern Pollen Database version 2, with 90 pollen taxa and 7634 sites

Ready-to-use version of the Eurasian Modern Pollen Database version 2 (EMPD2; Davis et al., 2020; Chevalier et al., 2019) that includes 90 taxa and 7634 modern pollen samples with pollen sums (excluding Pinus) higher or equal to 100 pollen grains (Tables 1 to 6). Table 7 contains 394 additional sites with pollen sums less than 100 pollen grains when excluding Pinus but higher or equal to 100 pollen grains when Pinus is included. Users can merge Tables 1 and 7 (8028 modern pollen samples) if they consider pollen sums (including Pinus) equal or higher than 100 pollen grains sufficient for accurate reconstructions. This ready-to-use version of the EMPD2 was initially built to do paleoclimatic reconstructions for Southern Europe. For users willing to do paleoclimate reconstructions in regions that may need to re-include some of the taxa that were removed, the intermediate version containing all the counts for the 840 initial taxa and the first grouping to 192 taxa is also available as Table 8.

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