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Visionen und Best Practices für die digitale Transformation: Visionäre Handlungsorientierungen für die Technikgestaltung in der gewerkschaftlichen Praxis. Transkripte der Interviews
No full textDE: Das Forschungsprojekt "Visionen und Best Practices für die digitale Transformation - Visionäre Handlungsorientierungen für die Technikgestaltung in der gewerkschaftlichen Praxis" wurde von Januar 2022 bis Juni 2025 im Rahmen des Forschungsverbunds Digitale Transformation durchgeführt. Es wurden Praktiken und Modelle demokratischer, beschäftigtenorientierter Technikpolitik im Betrieb untersucht, um sie für die gewerkschaftliche Praxis nutzbar zu machen. Insgesamt wurden 54 problemzentrierte Interviews in 20 Fällen geführt. Die Daten wurden über leitfadengestützte, halbstandardisierte Interviews erhoben. Der für die wissenschaftliche Nachnutzung archivierte Datensatz umfasst 38 Interviewtranskripte.
EN: The research project 'Visions and best practices for the digital transformation. Visionary strategies for worker-led technology design' was conducted from January 2022 to June 2025 in the framework of the research alliance Digital Transformation. It investigated practices and models of democratic, worker-orientated technology policy in the workplace in order to make them usable for trade union practice. A total of 54 problem-centred interviews were conducted in 20 cases. The data was collected using guideline-based, semi-standardised interviews. The data set archived for scientific reuse comprises 37 interview transcripts
Plio/Pleistocene stable isotopes (δ13C and δ18O) of benthic foraminifera (Uvigerina spp., C. wuellerstorfi, M. barleanum) of core SO264_53-2 (Minnetonka Seamount)
No full textSediment cores from the volcanic Emperor Seamount Chain obtained during RV SONNE cruise SO264 (SONNE-EMPEROR) in August 2018 allow us to reconstruct lateral changes in the subarctic and subtropical gyres in the pelagic North Pacific over the last ~3.4 million years. This dataset comprises benthic stable carbon (δ13C) and oxygen isotope (δ18O) data from gravity core SO264_53-2, which was recovered from Minnetonka Seamount (47°38.931 N 169°20.417 E) from 2325 m water depth. Measurements were performed on the benthic foraminiferal species Uvigerina spp., Cibicidoides wuellerstorfi, and Melonis barleanum. Sampling and analytical studies were carried out from 0.005–8.605 m core depth at ~2 cm spatial resolution. The isotope analyses were performed on a Thermo Scientific MAT 253 mass spectrometer with an automated Kiel IV carbonate preparation device
PortMeteO optical particle counter measurements during METEOR cruise M208
No full textWARNING: We are currently investigating a possible issue with this dataset that might stem from problems with the device itself or issues during the postprocessing. Please contact Sebastian Wahl prior to using this dataset.
This dataset describes the non-standard meteorological data collected using the newly developed portable meteorological observatory (PortMeteO) during the METEOR Expedition M208 from Mindelo, Cabo Verde (Feb 13th, 2025) to Mindelo, Cabo Verde (March 17th, 2025). Apart from validating the setup, the main purpose was to observe different properties of Saharan dust outbreaks.
The windlidar, flat plate sampler, optical particle counter and ceilometer were operated 24/7 while the sun photometers were used at regular intervals during the day whenever clear sky conditions prevailed. Radiosondes were operated at regular intervals between February 19th and March 15th, 2025. Radiosonde launches vary between one every 24h and launches every 3h during dust events or when low-level jets were expected to form
Seawater carbonate chemistry and feeding behavior and physiology of two sympatric mesograzers
No full textThis study investigated the interactive effects of ocean warming and acidification on the feeding behavior and physiology of two sympatric amphipods, Hyale niger and Cymadusa filosa. Using an orthogonal experimental design with two temperatures (27 °C and 30 °C) and two pH levels (7.8 and 7.5), we assessed feeding rates, respiration rates, ammonAnimaliaia excretion, and O/N ratios.
This dataset is included in the OA-ICC data compilation maintained in the framework of the IAEA Ocean Acidification International Coordination Centre (see https://oa-icc.ipsl.fr). Original data were downloaded from Mendeley Data (see Source) by the OA-ICC data curator. In order to allow full comparability with other ocean acidification data sets, the R package seacarb (Gattuso et al, 2024) was used to compute a complete and consistent set of carbonate system variables, as described by Nisumaa et al. (2010). In this dataset the original values were archived in addition with the recalculated parameters (see related PI). The date of carbonate chemistry calculation by seacarb is 2025-06-25
Diatom counts from borehole Sokli B series in Sokli (Finland) in 2002
No full textThis dataset provides counts of diatom valves for the Early Weichselian sediment sequence retrieved from Sokli (Finland) in 2002. Counts per taxon are presented against depth (m); total sums for classes of diatoms (e.g. total benthic diatoms) are presented as well. The diatom dataset provides information on MIS 5c lake ecosystem dynamics (Helmens et al., 2012). A total of 10 samples were selected for diatom analysis. Diatoms were extracted from the sediment following the protocol presented by Battarbee et al. (2002). First, organic matter was oxidized in H2O2 in a water bath (at c. 100 °C). Subsequently, carbonates were removed by 10% HCl treatment (no visible reaction). Clay particles were decanted from 100 ml beakers after sedimentation overnight. Sand grains were removed after five seconds of sedimentation. The residue was mounted in Naphrax® and analysed under a light microscope with X1000 magnification using immersion oil. Flora used for species identification and information on ecological preferences are presented in Helmens et al. (2009). A minimum of 1000 diatom valves were identified from each of the 6 uppermost samples. The bottommost samples had low diatom concentration and total count sums vary between 4 and 112 in these samples. All analyses were performed in the laboratories Stockholm University, Sweden
ANT 2013/14: AWI airborne Accumulation Radar data over wester DML, Sörasen, Recovery Glacier and Antarctic Peninsula (Sör-Mond, RECISL, CoFi Structure, and VELMAP Projects)
No full textThis dataset contains airborne radar data acquired using the AWI Accumulation Radar (ACCU) system during the Antarctic season of 2013/14. The profiles cover wester DML, Sörasen, Recovery Glacier and Antarctic Peninsula. The data are available as netCDF files (including waveforms and metadata), KML files of the profile line locations, and quicklook images of the radargrams
In situ water column sensor data from NUI dive 046 at the Lucky B hydrothermal field, R/V Polarstern expedition PS137
No full textThe dataset contains positioning and in situ sensor data collected by the underwater vehicle Nereid Under Ice (NUI) while exploring the hydrothermal plumes of the Lucky B site (81°N, Lena Trough) in June–July 2023 during RV Polarstern expedition PS137. The data span the entire deployment, including an sensing and mapping phases in AUV (Autonomous Underwater Vehicle) mode and a geotransect phase in ROV (Remotely Operated Vehicle) mode. Specifically, the dataset contains temperature, salinity, turbidity, redox-potential, and relative methane concentrations.
During NUI's water column survey, the primary sensors utilized aboard NUI were the same package routinely used for AUV-based plume surveys (CTD, optical backscatter, and ORP sensors) augmented with a Franatech in situ METS Methane Sensor. The METS sensor was not calibrated, hence providing relative enrichments rather than absolute concentrations of dissolved CH4 in the water column
CTD313 profiles during MOSES Sternfahrt 5
No full textNutrients, carbon species such as POC, DIC, DOC, pCO2 were sampled, and vertical profiles using CTDs with temperature, salinity, pressure, oxygen, pH, turbidity and fluorescence sensors were deployed in an area mostly between the Elbe estuary and Helgoland during the MOSES (https://www.ufz.de/moses/) Stern-5 between Aug. 31st and Sep 3rd, 2020. The research vessel Ludwig Prandtl covered the area between 53.9 N 7.88 E and 54.75 N 8.7 E. The purpose of the MOSES project is to be prepared for an extreme event like a flood or drought in the Elbe or Weser River. In order to calculate the difference in nutrient, carbon or other concentrations it is necessary to monitor the 'normal' state of the system. Water samples were collected using the three sampling cylinders of the Sea&Sun CTD313. The sample water was withdrawn from the cylinders, processed in the lab container on board and stored in the fridge or deep-freezer. The CTD measured vertical profiles at every station from the water surface to 2 m above ground
Master track from POLAR 6 flight P6-257_IceBird_Winter_2025_2504021101 in 1 sec resolution (zipped, 868 KB)
No full textRaw data acquired by GPS1 position sensors on board research aircraft Polar 6 during the campaign P6-257_IceBird_Winter_2025 were processed to receive a validated master track which can be used as reference of further expedition data. Novatel FlexPak6 GPS receiver was used as navigation sensors during the campaign. Data were downloaded from AWI Datamanagement System (https://dms.awi.de) with a resolution of 1 sec. Processed data are provided as a master track with 1 sec resolution and a generalized track with a reduced set of the most significant positions of the master track. A detailed report on processing is also available for each flight
Master track from POLAR 6 flight P6-257_IceBird_Winter_2025_2503130101 (groundtest) in 1 sec resolution (zipped, 488 KB)
No full textRaw data acquired by GPS1 position sensors on board research aircraft Polar 6 during the campaign P6-257_IceBird_Winter_2025 were processed to receive a validated master track which can be used as reference of further expedition data. Novatel FlexPak6 GPS receiver was used as navigation sensors during the campaign. Data were downloaded from AWI Datamanagement System (https://dms.awi.de) with a resolution of 1 sec. Processed data are provided as a master track with 1 sec resolution and a generalized track with a reduced set of the most significant positions of the master track. A detailed report on processing is also available for each flight