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WISE WFD Reference Spatial Datasets reported under Water Framework Directive 2010 - INTERNAL VERSION - version 1.9, Sep. 2025

The dataset contains information on the European river basin districts, the river basin district sub-units, the surface water bodies and the groundwater bodies delineated for the 1st River Basin Management Plans (RBMP) under the Water Framework Directive (WFD) as well as the European monitoring sites used for the assessment of the status of the abovementioned surface water bodies and groundwater bodies. This data set is available only for internal use of the European Commission and the European Environment Agency. Please use the "PUBLIC VERSION": https://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/6b55632c-63df-4542-97f0-363dfb6d3431 for external use. The information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations. The dataset compiles the available spatial data related to the 1st RBMPs which were due in 2010 (hereafter WFD2010). See http://rod.eionet.europa.eu/obligations/521 for further information on the WFD2010 reporting. It was prepared to support the reporting of the 2nd RBMPs due in 2016 (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting. See also https://rod.eionet.europa.eu/obligations/766 for information on the Environmental Quality Standards Directive - Preliminary programmes of measures and supplementary monitoring. The data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. For WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016. Where available, spatial data related to the 3rd RBMPs due in 2022 (hereafter WFD2022) was used to update the WFD2016 data. See https://rod.eionet.europa.eu/obligations/780 for further information on the WFD2022 reporting. Note: * This dataset has been reported by the member states. The subsequent QC revealed some problems caused by self-intersections elements. Data in GPKG-format should be processed using QGIS.

WISE WFD Reference Spatial Datasets reported under Water Framework Directive 2016 - INTERNAL VERSION - version 1.7, Jul. 2024

The dataset contains information on the European river basin districts, the river basin district sub-units, the surface water bodies and the groundwater bodies delineated for the 2nd River Basin Management Plans (RBMP) under the Water Framework Directive (WFD) as well as the European monitoring sites used for the assessment of the status of the above mentioned surface water bodies and groundwater bodies. This data set is available only for internal use of the European Commission and the European Environment Agency. Please use the "PUBLIC VERSION": https://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a0731ebf-6bcc-4afe-bab0-39e7aa88eaba for external use. The information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations. The dataset compiles the available spatial data related to the 2nd RBMPs due in 2016 (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting. See also https://rod.eionet.europa.eu/obligations/766 for information on the Environmental Quality Standards Directive - Preliminary programmes of measures and supplementary monitoring. Where available, spatial data related to the 3rd RBMPs due in 2022 (hereafter WFD2022) was used to update the WFD2016 data. See https://rod.eionet.europa.eu/obligations/780 for further information on the WFD2022 reporting.

GISCO - Nomenclature of Territorial Units for Statistics 2021 (NUTS 2021), May 2021

The 'GISCO NUTS 2021' data set represents the NUTS 2021 regulation and statistical regions by means of multipart polygon, polyline and point topology. The NUTS geographical information is completed by attribute tables and a set of cartographic help lines to better visualize multipart polygonal regions. The NUTS nomenclature is a hierarchical classification of statistical regions defined by Eurostat. The NUTS classification subdivides the EU economic territory into 3 statistical levels. The NUTS 2021 classification has been established through the Commission Delegated Regulation 2019/1755, which entered into force on 8th August 2019 and applies from 1st January 2021. A non official NUTS-like classification has been defined for the EFTA countries and the candidate countries. At present, six scale ranges (100K, 1M, 3M, 10M and 20M, 60M) are maintained in the GISCO geodatabase. The polygon and boundary classes delineate the regions, while the points provide an anchor for each region. Associated tables contain basic information such as the name of the region. The public data set will be available at 1M, 3M, 10M, 20M, 60M, while the full data set at 100K is restricted. The data set covers EU Member States, EFTA countries, EU candidate countries and the UK. Following the departure of the UK from the European Union, the UK is no longer flagged as an EU Member State but retains its place in the NUTS and statistical regions data set. This dataset (NUTS_2021) is derived from the EuroBoundary Map 2020 (EBM2020) from Eurogeographics as well as GISCO NUTS 2016 (from Türkiye). The list of NUTS2021 codes including changes with respect to NUTS2016 is available on https://ec.europa.eu/eurostat/documents/345175/629341/NUTS2021.xlsx. The public metadata for NUTS 2021 released by Eurostat is available here: https://gisco-services.ec.europa.eu/distribution/v2/nuts/nuts-2021-metadata.xml. This revision (May 2021) includes minor changes in the dataset such as (see https://gisco-services.ec.europa.eu/distribution/v2/nuts/nuts-2021-release-notes.txt): * 2020-10-05 Point snapping is disabled in all datasets, number of decimals increased for 01M datasets. * 2020-11-18 Inclusion of Jan Mayen and Svalbard in to Norways Statistical Regions. Amendment to Serbia NUTS BN line status. * 2020-12-05 Fixed broken utf-8 encoding. * 2021-03-15 Added LAU 2011,2012,2013,2014,2015,2020 * 2021-04-26 Fixed country labels 2001, 2006 (incorrect Kosovo coordinates) IMPORTANT NOTE: Additional information, including the conditions of use and acknowledgement notice is included in the document provided with the dataset "GISCO NUTS 2021 Additional Information.pdf". Public access to this data set is restricted due to intellectual property rights. It shall only be used internally by the EEA, its ETCs and subcontractors working on behalf of the EEA. This metadata has been slightly adapted from the original metadata information provided by Eurostat (European Commission) and is to be used only for internal EEA purposes. An introduction to the NUTS classification is available here: http://ec.europa.eu/eurostat/web/nuts/overview.

Daily rescued meteorological observations across Europe (1917-1990)

In the INDECIS project, around 610K meteorological station-based observations were rescued over the Balkans and Central Europe for the main climate variables (maximum and minimum temperature, rainfall, sunshine duration and snow depth) along the 20th century at daily scale. Digitizing was carried out by using a strict "key as you see" method, meaning that the digitizers type the values provided by data images, rather than using any coding system. Digitizers carefully cross-checked the typed values against original sources for the 10th, 20th and 30th day of each month to make sure that no days were skipped or repeated during the digitizing process. Monthly totals and statistical summaries were computed from transcribed data and were compared with monthly totals and summaries provided by data sources to check accuracy as preliminary quality control. This dataset is considered as raw data since any consistent quality control and homogenisation testing were applied to identify potential errors and data biases.

Continuous thermosalinograph oceanography along RV ALKOR cruise track AL639

Underway temperature and salinity data was collected along the cruise track with a SBE21 thermosalinograph (TSG) together with a SBE38 Thermometer. Both systems worked throughout the cruise. While temperature is taken at the water inlet in about 4 m depth, salinity is calculated within the interior TSG from conductivity and interior temperature. No temperature validation was performed. Salinity was validated with independent water samples taken at the water inlet. For details to all processing steps see Data Processing Report.

High-resolution measurements of essential climate variables in the North Sea from the autonomous surface vehicle HALOBATES during RV Heincke cruise HE644

The file contains data from the autonomous surface vehicle HALOBATES. It gathered Essential Climate Variables (ECVs) like sea surface temperature (SST) and salinity (SSS). Data were collected during RV Heincke cruise HE644 from 10 to 31 July 2024 in the German Bight, North Sea. HALOBATES measured conductivity, temperature and pH at seven depths. Vertical resolution was ~10 centimetres. Depths spanned the near-surface layer (NSL, at 30, 40, 50, 60, 85, and 100 cm) to the sea-surface microlayer (SML, ~ 80 µm). NSL water was collected with tubes on a bow-mounted ladder. SML water was collected using six partially submerged glass disks. Water from all sampled depths, including the SML, reached the CTD sensors via a pumped flow-through system. Additional temperature sensors were mounted beneath the catamaran corresponding to depths of the flow-through system inlets. Salinity was corrected with discrete water samples. Additionally, offsets between the CTDs were corrected. Two data loggers with meteorological stations recorded wind speed, air temperature, relative humidity, solar radiation, GPS positions, and others. Upward and downward facing pyranometers and pyrgeometers mounted on the research vessel measured net radiative fluxes for short- and longwave radiation. A disdrometer also mounted on the vessel measured precipitation. The research vessel kept an average distance of 500 metres from HALOBATES which was operated manually or via autopilot. Autopilot involved pre-defined waypoints whilst manual involved steering HALOBATES with a remote control or drifting with surface currents during station work. The dataset includes quality flags 0-4 with flags 1 and 2 are ready for use. See metadata for more information.

Photosynthetic efficiency and symbiont cover of Amphistegina lobifera measured by PAM fluorometry and CLSM during a menthol-DCMU bleaching experiment (Nov–Dec 2022, Bremen, Germany)

This dataset contains experimental data from a one-month aquarium-based bleaching experiment conducted on Large Benthic Foraminifera (Amphistegina lobifera) from 16 November to 16 December 2022 at the Marine Experimental Facility of the Leibniz Centre for Tropical Marine Research (ZMT), Bremen, Germany. The aim of the experiment was to obtain symbiont-free A. lobifera individuals for future re-inoculation studies and symbiont switching experiments. The foraminifera were originally collected in May 2022 at the Interuniversity Institute for Marine Sciences (IUI) in Eilat, Israel (29°30'07.8N, 34°55'04.9E) and maintained in culture in Germany until the start of the experiment. To assess the effectiveness of two chemical agents—menthol and 3-(3,4-dichlorophenyl)-1,1-dimethylurea (DCMU)—in disrupting symbiosis, photosynthetic efficiency (measured as maximum quantum yield, Fv/Fm) was recorded every other day during the first week of the experiment using a Pulse-Amplitude-Modulated (PAM) fluorometer. Fv/Fm measurements were discontinued after the first week due to complete inhibition of photosynthesis. Symbiont coverage (%) was assessed on day one and then weekly until week four using Confocal Laser Scanning Microscopy (CLSM).

Raw data of physical oceanography during RV HEINCKE cruise HE491

Raw physical oceanography data was acquired by a ship-based Seabird SBE911plus CTD-Rosette system onboard RV HEINCKE. The CTD was equipped with duplicate sensors for temperature (SBE3plus) and conductivity (SBE4) as well as one sensor for oxygen (SBE43). Additional sensors such as a WET Labs C-Star transmissometer, a WET Labs ECO-AFL fluorometer (FLRTD) and an altimeter (Teledyne Benthos PSA-916) were mounted to the CTD. The data was recorded using pre-cruise calibration coefficients. No correction, post-cruise calibration or quality control was applied. Processed profile data are available via the link below.

Resistivity models inverted from Time-Domain Controlled-Source Electromagnetic (TD-CSEM) data from the southeastern North Sea acquired during expedition AL611

Surface-towed time-domain controlled-source electromagnetic (TD-CSEM) data were acquired during expedition AL611 in the southeastern North Sea to map subseafloor electrical resistivity. The survey used a 100 m horizontal electric-dipole transmitter and two inline electric-field receivers towed at ~250 m and ~500 m offsets (SWAN system, Pestoressa et al., 2023). Transients (2 s period, 50% duty) were processed for timing alignment, transient selection and filtering, DC-offset removal, stacking, and logarithmic gating. Two-dimensional resistivity models were obtained with an extended time-domain implementation of MARE2DEM (Haroon et al., 2018; Key, 2016); parameter details are documented in the metadata. The dataset includes processed TD-CSEM inputs and inversion results both as SEGY and XYZ files with embedded positions.

Air Quality Health Risk Assessments (NUTS3 and countries)

This data set presents health risk calculation of exposure to three main pollutants (PM2.5, NO2 and O3) and information on PM10 concentrations at NUTS3, country and city levels. In addition, average and population weighted average concentration values are available in the data set for PM10, PM2.5, NO2 and O3 (SOMO35). The calculations are made for years 2005 to 2020. The concentrations data are taken from the ETC/ATNI interpolated maps (ETC/ATNI Eionet Reports 1/2020/ and 1/2021 and references therein). The methodology is as described in ETC/ATNI Eionet Report 10/2021, aggregating at country level.

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