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Enzymatic analysis of carbohydrate metabolism in Strongylocentrotus purpuratus larvae during laboratory experiments with different pH treatments
No full textStrongylocentrotus purpuratus (Stimpson 1857) originally collected in November 2022 from La Jolla, USA (Lat: 32.842674; Long: -117.257767) were held in flow-through tanks which were filled with water from Kiel Fjord adjusted to 31.5 psu in the Christian-Albrechts-Universität zu Kiel at 10 °C. Carbohydrate-degrading enzymatic activity against various substrates (starch, laminarin, cellulose, xylan, trehalose) was assessed using 3,5-dinitrosalicylic acid (DNS, Miller, 1959). The activities of degradation were quantified by measuring the rate of reducing sugar production resulting from the hydrolysis of soluble starch, carboxymethylcellulose sodium salt (medium viscosity), laminarin from Laminaria digitata, xylan and D-(+)-Trehalose dihydrate under different pHs. For all reactions the amount of reducing sugar was determined spectrophotometrically at 540 nm with glucose as the standard (xylose for xylan characterization)
Satellite Color Images, Vegetation Indices, and Metabolism Indices from St-Peter-Ording, Germany from 1984 – 2023
No full textThe "Germany Mosaic" is a time series of Landsat satellite images and vectorized segments covering the entirety of Germany from 1984 to 2023. The image data are divided into TK100 sheet sections (see further details: Blattschnitt der Topographischen Karte 1:100 000). The dataset provides optimized 6-band imagery for each year, representing summer (May to July) and autumn (August to October) seasons, along with vegetation indices such as NDVI (Normalized Difference Vegetation Index) and NirV (Near-Infrared Reflectance of Vegetation) for the same periods. Additionally, vectorized "zones" of approximately homogeneous pixels are available for each year. The spectral properties of the image data and the morphological characteristics of these zones are included as vector attributes (see Documentation: "Mosaic (1984–2023) - Data Description"). An overview of the coverage and quality of all sheet sections is provided as a vector layer titled D-Mosaik_Sheet-Sections within this document.
The Germany Mosaic can also be considered a spatial-temporal Data Cube, enabling advanced analysis and integration into workflows requiring multi-dimensional data. This structure allows users to perform operations such as querying data across specific time periods, analyzing trends over decades, or aggregating spatial information to generate tailored insights for a wide range of research applications.
In mid-latitudes, seasonal variations in vegetation—and consequently in the image data—are typically more pronounced than changes occurring over several years. The temporal segmentation of the dataset has been designed to encompass the entire vegetation period (May to October), with the division into summer and autumn periods capturing seasonal metabolic shifts in natural biotopes. This segmentation also records most agricultural changes, including sowing and harvesting activities. Depending on weather conditions, the individual image data represent either the median, mean value, or the best available image for the specified time period (see Documentation: "Mosaic (1984–2023) - Data Description).
Remote sensing has become an indispensable tool for environmental research, particularly in landscape analysis. Beyond conventional applications, the Germany Mosaic supports the development of digital twins in environmental system research. By providing detailed spatial and temporal data, this dataset enables the modeling of virtual ecosystems, facilitating simulations, scenario testing, and predictive analyses for sustainable management. Moreover, the spatial and temporal trends captured by remotely sensed parameters complement traditional approaches in biological, ecological, geographical, and epidemiological research
Critical thermal maxima of Phyllaplysia taylori across populations from the US west coast
No full textLocal variation in microclimate, with extreme events amplified by ongoing climate change, can drive divergent physiological responses to warming across populations. As habitat temperature characteristics shift with climate change, populations may be required to use plasticity to deal with rapid shifts in thermal extremes. We investigated heat tolerance and metabolic rate in the direct-developing sea hare, Phyllaplysia taylori, to determine whether short-term plasticity (acclimation to winter, summer and future summer temperatures) was influenced by differences in microclimate. We identified correlations between thermal tolerance and genotype in P. taylori collected from sites along the western US coast from Ocean Shores, WA to Morro Bay, CA. P. taylori from all locations consistently exhibited critical thermal maxima (CTmax) above habitat temperatures, even when average daily variation in habitat temperature was considered (CTmax ranged from 24-35ºC, average=30.1±0.2ºC; average habitat temperature ranged from 12-20ºC, average=21±0.8ºC). CTmax and compensatory metabolic suppression after heat stress were correlated to habitat temperature. The breadth of plastic responses we observed (11°C) was substantially wider than reported for other poikilothermic taxa in the literature and did not appear to be population-specific. Our findings suggest that high plasticity of thermal tolerance precedes local adaptation, and improves the physiological resilience of populations under climate change
Total bacterial communiy based on RNA analysis of sediment pore-water from the Cinq Cases pool system, Aldabra atoll (Seychelles, Indian Ocean)
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Present-day neodymium concentrations measured in Western Mediterranean Deep Water, Eastern Mediterranean Deep Water and Levantine Intermediate Water
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Carbon dioxide measurements at lander 2 in the German Baltic Sea
No full textCoastal ecosystems are heterogeneous environments with high turnover rates of carbon and nutrients that influence the distribution of greenhouse gases (GHG). They also represent challenging environments for scientific investigations, requiring new technologies that go beyond discrete sampling. Here we present temporal high-resolution measurements of several physicochemical variables, including the partial pressures of CO2 and CH4, made in shallow waters at around 6 m water depth of the Baltic Sea using two autonomous lander systems. The two landers were deployed at the sediment-water interface (bottom lander) and about 400 m offshore near the German city Rostock with support from the buoy tender “Rosenort” operated by the Wasserstraßen- und Schifffahrtsverwaltung des Bundes, Stralsund (WSA Stralsund). These landers were equipped with six commercially available state-of-the-art sensors. Field data resolution ranged from 10 seconds to 60 minutes and was obtained for partial pressure of CO2 (Contros HydroC-CO2) and CH4 (Contros HydroC-CH4), temperature, salinity, depth (hydrostatic pressure), O2 (CTD-O2 with SBE-37SMP-ODO), the concentrations of phosphate (SBE HydroCycle PO4), nitrate (SBE SUNA V2), chlorophyll a and the turbidity (both with SBE-FLNTUSB ECO) as stationary measurements at two different locations in close proximity. The CTD and oxygen measurements provide exact water depth data for the respective lander locations. In the other data sets (e.g., CO2 measurements) rounded data is inserted instead of the exact depth data, which is 6 m for lander_1 and 5 m for lander_2. The deployment and recovery of the landers and thus the measurements took place between 04 September 2019 and 04 October 2019 and the sensors were operated under battery power and a centralized timestamp. Three events common to coasts were observed during the deployment, allowing tracking of (1) an advection of saline waters with a mineralization signal, (2) a storm event of about 4 days, and (3) a stagnation event. Sensor data and processed data are available in separate files
Nitrate raw measurements at lander 2 in the German Baltic Sea
No full textCoastal ecosystems are heterogeneous environments with high turnover rates of carbon and nutrients that influence the distribution of greenhouse gases (GHG). They also represent challenging environments for scientific investigations, requiring new technologies that go beyond discrete sampling. Here we present temporal high-resolution measurements of several physicochemical variables, including the partial pressures of CO2 and CH4, made in shallow waters at around 6 m water depth of the Baltic Sea using two autonomous lander systems. The two landers were deployed at the sediment-water interface (bottom lander) and about 400 m offshore near the German city Rostock with support from the buoy tender “Rosenort” operated by the Wasserstraßen- und Schifffahrtsverwaltung des Bundes, Stralsund (WSA Stralsund). These landers were equipped with six commercially available state-of-the-art sensors. Field data resolution ranged from 10 seconds to 60 minutes and was obtained for partial pressure of CO2 (Contros HydroC-CO2) and CH4 (Contros HydroC-CH4), temperature, salinity, depth (hydrostatic pressure), O2 (CTD-O2 with SBE-37SMP-ODO), the concentrations of phosphate (SBE HydroCycle PO4), nitrate (SBE SUNA V2), chlorophyll a and the turbidity (both with SBE-FLNTUSB ECO) as stationary measurements at two different locations in close proximity. The CTD and oxygen measurements provide exact water depth data for the respective lander locations. In the other data sets (e.g., CO2 measurements) rounded data is inserted instead of the exact depth data, which is 6 m for lander_1 and 5 m for lander_2. The deployment and recovery of the landers and thus the measurements took place between 04 September 2019 and 04 October 2019 and the sensors were operated under battery power and a centralized timestamp. Three events common to coasts were observed during the deployment, allowing tracking of (1) an advection of saline waters with a mineralization signal, (2) a storm event of about 4 days, and (3) a stagnation event. Sensor data and processed data are available in separate files