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Waterbase - Biology, 2024

Waterbase serves as the EEA’s central database for managing and disseminating data regarding the status and quality of Europe's rivers, lakes, groundwater bodies, transitional, coastal, and marine waters. It also includes information on the quantity of Europe’s water resources and the emissions from point and diffuse sources of pollution into surface waters. Specifically, Waterbase - Biology focuses on biology data from rivers, lakes, transitional and coastal waters collected annually through the Water Information System for Europe (WISE) – State of Environment (SoE) reporting framework. The data are expected to be collected within monitoring programs defined under the Water Framework Directive (WFD) and used in the classification of the ecological status or potential of rivers, lakes, transitional and coastal water bodies. These datasets provide harmonised, quality-assured biological monitoring data reported by EEA member and cooperating countries, as Ecological Quality Ratios (EQRs) from all surface water categories (rivers, lakes, transitional and coastal waters).

C-PEAT global database (v. 2025)

This database is the first formal version of PAGES' C-PEAT Global Peatland Carbon Database (GD), which contains 267 independently cataloged peat cores and a large number of observations from those cores, including: peat depths, organic matter content values, dry bulk density values, organic density values, as well as carbon and nitrogen content values (Loisel et al. Submitted). This Editorial publication, along with the published scripts for data and metadata retrieval (Ransby et al. 2025), are designed to streamline data use and citation.

Edaphobase

Edaphobase is a GBIF-D project that collects information from literature, museum collections and research data about the distribution and ecology of soil organisms (earthworms, potworms, nematodes, springtails, proturans, diplurans, moss/beetle mites, gamasina mites, centipedes, millipedes, woodlice, soil fungi and soil prokaryotes). After March 2023, some data previously included in the overall Edaphobase-dataset have now been marked as their own specific datasets. If you are referencing the Edaphobase-dataset before this date, it will include all datasets uploaded to GBIF from the GBIF publisher 'Edaphobase'.

Gridded habitat ranges of Atlantic salmon (Salmo salar) gathered from historical sources

Until the middle of the 20th century, the Atlantic salmon (Salmo salar) was an important migratory fish species in the Elbe River. Its decline and disappearance from the river and its tributaries during the last century can be seen as an indication of changes in the river habitat. Here we provide historical habitat ranges of Atlantic salmon mapped out of catch records gathered from historical sources and recent data in a simplified presence/absence approach for the Elbe River system. We used a standardized 16 km² grid approach created for data synthesis within SPP 2361 "On the Way to the Fluvial Anthroposphere" for mapping habitat ranges. Time slices for presence data are 1300-1500, 1501-1600, 1601-1700, 1701-1800, 1801-1850, 1851-1900, 1901-1947 and 1996-2021. Between 1947 and 1995 the Salmon was considered extinct in the Elbe River system.

Sentinel-5P TROPOMI – Cloud Optical Thickness (COT), Level 3 – Global

This product displays the Cloud Optical Thickness (COT) around the globe. Clouds play a crucial role in the Earth's climate system and have significant effects on trace gas retrievals. The cloud optical thickness is retrieved from the O2-A band using the ROCINN algorithm. The TROPOMI instrument aboard the SENTINEL-5P space craft is a nadir-viewing, imaging spectrometer covering wavelength bands between the ultraviolet and the shortwave infra-red. TROPOMI's purpose is to measure atmospheric properties and constituents. It is contributing to monitoring air quality and providing critical information to services and decision makers. The instrument uses passive remote sensing techniques by measuring the Top Of Atmosphere (TOA) solar radiation reflected by and radiated from the earth and its atmosphere. The four spectrometers of TROPOMI cover the ultraviolet (UV), visible (VIS), Near Infra-Red (NIR) and Short Wavelength Infra-Red (SWIR) domains of the electromagnetic spectrum, allowing operational retrieval of the following trace gas constituents: Ozone (O3), Nitrogen Dioxide (NO2), Sulfur Dioxide (SO2), Formaldehyde (HCHO), Carbon Monoxide (CO) and Methane (CH4). Within the INPULS project, innovative algorithms and processors for the generation of Level 3 and Level 4 products, improved data discovery and access technologies as well as server-side analytics for the users are developed.

Forschergruppe (FOR) 2416: Space-Time Dynamics of Extreme Floods (SPATE), Research group (FOR) 2416: Space-Time Dynamics of Extreme Floods (SPATE)

River floods are extremely important to society because of their potential damage and fatalities. Floods are also very interesting research subjects because of the intriguing non-linear interactions and feedbacks involved, interesting issues of generalisation and the need for investigating them in an interdisciplinary way. Extreme floods are not very well understood to date but new, high resolution data and new concepts for quantifying interactions promise a major breakthrough of a body of research carried out in a coordinated way. The objective of this Research Unit is to understand in a coherent way the atmospheric, catchment and river system processes and their interactions leading to extreme river floods and how these evolve in space and time. An innovative and coherent concept has been adopted in order to maximise the potential of the cooperation between the research partners which consists of three layers of integration: research themes focusing on the science questions, subprojects revolving around specific research tasks, and a joint study object of extreme floods in Germany and Austria. Using scales as a binding element, the research plan is organised into the research themes of event processes, spatial (regional) variability, temporal (decadal) variability, and uncertainty and predictability. The members of the Research Unit have been selected to obtain a team of leading experts with expertise that is complementary in terms of processes, methods and regional knowledge. The cooperation and communication strategy will be implemented through themed cluster groups, combining several subprojects, regular meetings of the cluster groups, an annual project symposium and a private cloud facilitating data exchange on the joint study object. Equal opportunity policies will be adopted and female and early career scientists will be promoted in a major way. Overall, the outcomes of the Research Unit will constitute a step change in the understanding of the coupled system of flood processes in the atmosphere, catchments and rivers which will have major implications for a range of sciences and the society.

METOP GOME-2 - Tropospheric Nitrogen Dioxide (NO2) - Global

The Global Ozone Monitoring Experiment-2 (GOME-2) instrument continues the long-term monitoring of atmospheric trace gas constituents started with GOME / ERS-2 and SCIAMACHY / Envisat. Currently, there are three GOME-2 instruments operating on board EUMETSAT's Meteorological Operational satellites MetOp-A, -B, and -C, launched in October 2006, September 2012, and November 2018, respectively. GOME-2 can measure a range of atmospheric trace constituents, with the emphasis on global ozone distributions. Furthermore, cloud properties and intensities of ultraviolet radiation are retrieved. These data are crucial for monitoring the atmospheric composition and the detection of pollutants. DLR generates operational GOME-2 / MetOp level 2 products in the framework of EUMETSAT's Satellite Application Facility on Atmospheric Chemistry Monitoring (AC-SAF). GOME-2 near-real-time products are available already two hours after sensing. The operational NO2 total column products are generated using the algorithm GDP (GOME Data Processor) version 4.x integrated into the UPAS (Universal Processor for UV / VIS Atmospheric Spectrometers) processor for generating level 2 trace gas and cloud products. The operational NO2 tropospheric column products are generated using the algorithm GDP (GOME Data Processor) version 4.x for NO2 [Valks et al. (2011)] integrated into the UPAS (Universal Processor for UV / VIS Atmospheric Spectrometers) processor for generating level 2 trace gas and cloud products. The total NO2 column is retrieved from GOME solar back-scattered measurements in the visible wavelength region using the DOAS method. An additional algorithm is applied to derive the tropospheric NO2 column: after subtracting the estimated stratospheric component from the total column, the tropospheric NO2 column is determined using an air mass factor based on monthly climatological NO2 profiles from the MOZART-2 model. For more details please refer to relevant peer-review papers listed on the GOME and GOME-2 documentation pages: https://atmos.eoc.dlr.de/app/docs/

METOP GOME-2 - Formaldehyde (HCHO) - Global

The Global Ozone Monitoring Experiment-2 (GOME-2) instrument continues the long-term monitoring of atmospheric trace gas constituents started with GOME / ERS-2 and SCIAMACHY / Envisat. Currently, there are three GOME-2 instruments operating on board EUMETSAT's Meteorological Operational satellites MetOp-A, -B, and -C, launched in October 2006, September 2012, and November 2018, respectively. GOME-2 can measure a range of atmospheric trace constituents, with the emphasis on global ozone distributions. Furthermore, cloud properties and intensities of ultraviolet radiation are retrieved. These data are crucial for monitoring the atmospheric composition and the detection of pollutants. DLR generates operational GOME-2 / MetOp level 2 products in the framework of EUMETSAT's Satellite Application Facility on Atmospheric Chemistry Monitoring (AC-SAF). GOME-2 near-real-time products are available already two hours after sensing. The operational HCHO total column products are generated using the algorithm GDP (GOME Data Processor) version 4.x integrated into the UPAS (Universal Processor for UV / VIS Atmospheric Spectrometers) processor for generating level 2 trace gas and cloud products. For more details please refer to relevant peer-review papers listed on the GOME and GOME-2 documentation pages: https://atmos.eoc.dlr.de/app/docs/

Total sediment thickness of the world's oceans and marginal seas, version 3 (GlobSed)

NCEI's global ocean sediment thickness grid of Divins (2003) updated by Whittaker et al. (2013) has been updated again for the NE Atlantic, Arctic, Southern Ocean, and Mediterranean regions. The new global 5‐arc‐minute total sediment thickness grid, GlobSed, incorporates new data and several regional oceanic sediment thickness maps, which have been compiled and published for the, (1) NE Atlantic (Funck et al., 2017; Hopper et al., 2014), (2) Mediterranean (Molinari & Morelli, 2011), (3) Arctic (Petrov et al., 2016), (4) Weddell Sea (Huang et al., 2014), and (5) the Ross Sea, Amundsen Sea, and Bellingshausen Sea sectors off West Antarctica (Lindeque et al., 2016; Wobbe et al., 2014). This version also includes updates in the White Sea region based on the VSEGEI map of Orlov and Fedorov (2001). GlobSed covers a larger area than NCEI's previous global grids (Divins, 2003; Whittaker et al. 2013), and the new updates results in a 29.7% increase in estimated total oceanic sediment volume. This dataset has been archived in the framework of the PANGAEA US data rescue initiative 2025.

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.

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