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Master tracks in different resolutions of ALKOR cruise AL650, Kiel - Kiel, 2026-04-15 - 2026-04-17

Raw data acquired by position sensors on board RV Alkor during expedition AL650 were processed to receive a validated master track which can be used as reference of further expedition data. During AL650 data from the Seapath 330 system, the Furuno GP-170 receiver and the SAAB R6 system were used to calculate the mastertrack. Data were downloaded from DAVIS SHIP data base (https://dship.o2a-data.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.

Continuous salinity observations at station BEFmate_S4low, 2019-09 to 2023-09

Data presented here were collected between 2019-09 and 2023-09 at station BEFmate_S4low within the research unit DynaCom (Spatial community ecology in highly dynamic landscapes: From island biogeography to metaecosystems, https://uol.de/dynacom/ ) involving the Universities of Oldenburg, Göttingen, and Münster, the iDiv Leipzig and the Nationalpark Niedersächsisches Wattenmeer. Experimental islands and saltmarsh enclosed plots were established in the back-barrier tidal flat and in the saltmarsh zone of the island of Spiekeroog (Germany). Salinity at different elevation zones was measured using conductivity loggers deployed in dip wells within experimental islands as well as in the saltmarsh enclosed plots. Measurements were obtained using HOBO U24 Conductivity Logger U24-002-C (Onset Computer Corporation, Bourne, MA/USA). All devices were pre-calibrated by the manufacturer. Logged data were retrieved in the field using a Hobo Underwater Shuttle (U-DTW-1) and were read out with the HOBOware Pro (V3.7.28) software. Salinity was derived in HOBOware Pro using temperature-dependent, nonlinear seawater conductivity compensation following the Practical Salinity Scale (PSS-78). Subsequent data processing was done using MATLAB (R2024b). Post-processing and quality control included (a) the removal of data covering maintenance activities, (b) the removal of implausible values using fixe thresholds (salinity > 40 psu and < 5 psu; temperature > 35 °C and < -5 °C), c) an outlier detection using the Hampel filter method, and (d) visual checks. Identified outliers were removed and synchronously removed across all associated parameters (temperature and salinity).

Master tracks in different resolutions of ALKOR cruise AL652/2, Kiel - Kiel, 2026-05-25 - 2026-06-02

Raw data acquired by position sensors on board RV Alkor during expedition AL652/2 were processed to receive a validated master track which can be used as reference of further expedition data. During AL652/2 data from the Seapath 330 system, the Furuno GP-170 receiver and the SAAB R6 system were used to calculate the mastertrack. Data were downloaded from DAVIS SHIP data base (https://dship.o2a-data.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.

Continuous salinity observations at station BEFmate_S3upp, 2019-09 to 2021-07

Data presented here were collected between 2019-09 and 2021-07 at station BEFmate_S3upp within the research unit DynaCom (Spatial community ecology in highly dynamic landscapes: From island biogeography to metaecosystems, https://uol.de/dynacom/ ) involving the Universities of Oldenburg, Göttingen, and Münster, the iDiv Leipzig and the Nationalpark Niedersächsisches Wattenmeer. Experimental islands and saltmarsh enclosed plots were established in the back-barrier tidal flat and in the saltmarsh zone of the island of Spiekeroog (Germany). Salinity at different elevation zones was measured using conductivity loggers deployed in dip wells within experimental islands as well as in the saltmarsh enclosed plots. Measurements were obtained using HOBO U24 Conductivity Logger U24-002-C (Onset Computer Corporation, Bourne, MA/USA). All devices were pre-calibrated by the manufacturer. Logged data were retrieved in the field using a Hobo Underwater Shuttle (U-DTW-1) and were read out with the HOBOware Pro (V3.7.28) software. Salinity was derived in HOBOware Pro using temperature-dependent, nonlinear seawater conductivity compensation following the Practical Salinity Scale (PSS-78). Subsequent data processing was done using MATLAB (R2024b). Post-processing and quality control included (a) the removal of data covering maintenance activities, (b) the removal of implausible values using fixe thresholds (salinity > 40 psu and < 5 psu; temperature > 35 °C and < -5 °C), c) an outlier detection using the Hampel filter method, and (d) visual checks. Identified outliers were removed and synchronously removed across all associated parameters (temperature and salinity).

Umweltbetriebspruefung und Bilanzierung bei der Margon Brunnen GmbH

Das Unternehmen der Mineralwasserproduktion, Margon Brunnen GmbH, wurde 1995/96 auf der Grundlage der EG-Verordnung 1836/93 ueber die freiwillige Beteiligung am Gemeinschaftssystem fuer das Umweltmanagement hinsichtlich seines Umweltverhaltens geprueft und zertifiziert. Den Regeln der Verordnung gemaess sind wesentliche Schritte der Umweltbetriebspruefung sowie die Zertifizierung mindestens alle drei Jahre zu wiederholen, wobei insbesondere die Erfuellung der Umweltziele und des Umweltprogramms ueberprueft wird. Dazu erfolgte im Vorhaben die Datenerhebung und -verarbeitung sowie die Bilanzierung zum Umweltverhalten des Unternehmens insbesondere unter Beachtung der seit der Erstpruefung veraenderten Rahmen- bzw. Betriebsbedingungen, die Erfassung der betrieblichen Umweltwirkungen durch das neu eingefuehrte PET-Gebinde im Vergleich mit dem aus Glas, die Erarbeitung einer umfassenden Energiebilanz fuer die bereits installierte Rueckgewinnung und Nutzung von Abwaerme aus verschiedenen Prozessen, eine kritische Diskussion mit Schlussfolgerungen fuer die Betriebspraxis sowie Zuarbeiten zur Gefaehrdungsanalyse und zur Ueberarbeitung des betrieblichen Umweltprogramms.

Ferrybox underway observations of physical and optical surface water variables during HE598 from 2022-04-29 to 2022-05-24

The data presented here were collected during the cruise HE598 with RV Heincke from Bremerhaven to Bremerhaven (2022-04-29 to 2022-05-24). The water intake of the autonomous measurement system was in approx. 3 m depth. All data have been subjected to automated quality checks (see processing report) and visual control. The chlorophyll-a data were additionally calibrated by comparison with discrete samples. Details on all quality control steps and the calibration can be found in the data processing report. The resulting data set contains the quality-controlled data and corresponding quality flags. The data set contains data during transect and station. The rawdata are also available on request from the principal investigator.

Elektronisches Schadstofffreisetzungs- und -verbringungsregister (Pollutant Release an Transfer Register)

DV-System zur jährlichen Datenerfassung, Plausibilitätsprüfung und Veröffentlichung PRTR sowie Berichterstattung zum E-PRTR. Auf der Grundlage des am 21.05.2003 unterzeichneten PRTR-Protokolls der UN-ECE haben sich sowohl die Europäische Gemeinschaft als auch die Bundesrepublik Deutschland verpflichtet, ein Schadstofffreisetzungs- und -verbringungsregister einzurichten und zu betreiben. Die EU-Verordnung (EG) Nr.166/2006 vom 18.01.2006 über die Schaffung eines Europäischen Schadstofffreisetzungs- und -verbringungsregisters wurde am 04.02.2006 im Amtsblatt der Europäischen Union veröffentlicht. Sie regelt die Berichtspflichten und Datenlieferungen an die EU für das Europäisches Schadstoffregister. Erstes Berichtsjahr für die Betreiber ist das Jahr 2007. Das Gesetz zur Ausführung des Protokolls über Schadstofffreisetzungs- und -verbringungsregister vom 21. Mai 2003 sowie zur Durchführung der Verordnung (EG) Nr. 166/2006 vom 6.6.2007, kurz "SchadRegProtAG" genannt, regelt die nationalen Rahmenbedingungen zur Umsetzung der Verordnung sowie die Einrichtung eines nationalen Registers unter Nutzung der für das europäische Register erhobenen Daten. Die Informationen zur Freisetzung bestimmter Schadstoffe in Luft, Wasser Boden sowie zur Verbringung von Abfällen und Schadstoffen in Abwasser müssen jährlich berichtet und aktualisiert werden. Die registrierten Informationen sollen via Internet der Öffentlichkeit sowohl auf nationaler als auch auf europäischer Ebene zugänglich gemacht werden. Dazu werden elektronische Tools von der Datenerfassung, über Kontrollmechanismen bis zur Präsentation entwickelt. Bei der Entwicklung kann teilweise auf vorhandene Software aufgebaut werden. Gleichzeitig wird in einer Gesamtarchitektur der betrieblichen Berichterstattung die 11. und 13. BImschV integriert. Das Projekt wurde von der UMK mit Beschluss vom 26./27.10.2006 als Vorhaben für den Aktionsplan Deutschland Online benannt und ist im Umsetzungsplan 2008 als eGovernment 2.0 Projekt enthalten (Handlungsfeld Prozessketten). Dies zieht eine erhöhte politische Wahrnehmung des Projektes nach sich. Die eGovernment-Dienstleistung wurde unter Einbeziehung der betroffenen Wirtschaft realisiert. Für den PRTR Prozess, einschließlich der betrieblichen Berichterstattung gemäß 11. und 13. BImSchV und der in diesem Zusammenhang entwickelte Software wird eine IT-Grundschutzzertifizierung nach ISO 17799 und 27001 angestrebt. Für das Projekt wurde in Zusammenarbeit mit dem BSI (Bundesamt für Sicherheit in der Informationstechnik) eine Schutzbedarfsfestellung nach den IT-Grundschutzvorgaben des BSI vorgenommen. Als Grundlage für die verwendeten Standards und Architekturen dienen die Vorgaben des SAGA (Standards und Architektur für E-Government-Anwendungen) in der aktuellen Fassung.

Hydrographical time series data of Helgoland, Southern North Sea, since 2013

This dataset contains annual oceanographic observations collected at the Helgoland underwater observatory (54°11.594′ N, 07°52.762′ E; WGS84) from 2013 onwards. Measurements include water temperature, salinity, oxygen saturation, chlorophyll-a concentration, and turbidity. The observatory is located at a water depth of approximately 10 m (± tidal variation) and is equipped with one or more sensors for each measured parameter. Observations are recorded at an hourly temporal resolution. All data have undergone quality control using the four-step plausibility and quality assurance procedure described by Waldmann et al. (2022). The cabled observatory infrastructure and sensor configuration are described in detail on the AWI COSYNA underwater observatory webpage. For comprehensive information on instrumentation, sensor deployment, calibration procedures, and data processing, please refer to the annual metadata documents entitled metadata_heluwobs_yyyy_hydrography.pdf associated with each yearly dataset.

Ferrybox underway observations of physical and optical surface water variables during HE614 from 2023-02-27 to 2023-03-25

The data presented here were collected during the cruise HE614 with RV Heincke from Bremerhaven to Bremerhaven (2023-02-27 to 2023-03-25). The water intake of the autonomous measurement system was in approx. 3 m depth. All data have been subjected to automated quality checks (see processing report) and visual control. The chlorophyll-a data were additionally calibrated by comparison with discrete samples. Details on all quality control steps and the calibration can be found in the data processing report. The resulting data set contains the quality-controlled data and corresponding quality flags. The data set contains data during transect and station. The rawdata are also available on request from the principal investigator.

Continuous turbidity observations near DynaCom experimental in the back-barrier tidal flat, Spiekeroog, Germany, 2018-09 to 2023-09

Data presented here were collected between September 2018 to September 2023 within the research unit DynaCom (Spatial community ecology in highly dynamic landscapes: From island biogeography to metaecosystems) involving the Universities of Oldenburg, Göttingen, and Münster, the iDiv Leipzig and the Nationalpark Niedersächsisches Wattenmeer. Experimental islands and saltmarsh enclosed plots were established in the back-barrier tidal flat and in the saltmarsh zone of the island of Spiekeroog (Germany). To measure local turbidity, a turbidity recorder equipped with a Seapoint® turbidity meter (RBRsolo Tu, RBR Ltd., Ontario/Canada) was installed in the back-barrier tidal flat near the experimental islands in a shallow tidal creek (0.9 m NHN). Another one was installed at the saltmarsh edge (1.2 m NHN). Both loggers were bottom mounted through a steel girder (buried 0.3 m deep in the sediment) and were positioned 15 cm above sediment surface, as was determined by using a portable differential GPS. This resulted in the sensor falling dry during low tide. The turbidity recorders were pre-calibrated by the manufacturer (Seapoint Sensors, Inc., NH/USA). Recorded data were internally logged and exported using Ruskin software V2.24.3.x (RBR Ltd., Ontario/Canada). Subsequent data processing was done using MATLAB (R2024b). Post-processing and quality control included the removal of (a) low tide data (sensors exposed to air), (b) data covering maintenance activities, (c) data affected by biofouling, and (d) implausible values, i.e. negative values and values exceeding the linear response range of the sensor (1250 NTU). According to manufacturer specifications, the linear measurement range extends up to 1250 NTU, while 750 NTU represent a more conservative estimate of linearity. Therefore, 1250 NTU was adopted as the upper threshold for valid measurements in this dataset.

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