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Plant wax composition of sediment core ROT21 from the Rotsee, Switzerland

This dataset contains compound-specific hydrogen (δ2H) and carbon (δ13C) isotope compositions and concentrations of long-chain n-alkanes and fatty acids (n-alkanoic acids) from the ROT21 sediment record of Rotsee, Central Switzerland (47°04′10″N, 8°18′48″E, 419 m a.s.l.). Sediment cores were retrieved in October 2021 using a UWITEC gravity corer, and the dataset spans the past ~13,000 years based on 19 radiocarbon dates (terrestrial and aquatic macrofossils) integrated with 210Pb and 137Cs profiles (see De Jonge et al., 2025). Laboratory analyses were conducted between February 2023 and November 2024 at the University of Basel. Sediment samples (~2–5 g) were sub-sampled, freeze-dried, spiked with internal standards (n-C19-alkanoic acid, n-C36-alkane, 2-octadecanone, and n-C21-alkanol), and extracted with dichloromethane/methanol (9:1, v/v) using an Accelerated Solvent Extractor (Dionex ASE 350, Thermo Fisher Scientific). Following saponification, neutral fractions were separated via silica gel chromatography, and fatty acids were converted to fatty acid methyl esters (FAMEs). Both n-alkanes and FAMEs were further purified to isolate saturated compounds using AgNO3-impregnated silica gel columns, then analyzed and quantified by gas chromatography with flame ionization detection (GC-FID). Peak areas were normalized to recovery standards to account for potential losses during sample handling, and compounds were identified by comparison with external standards. Compound-specific δ2H and δ13C values were determined by gas chromatography-isotope ratio mass spectrometry (GC-IRMS) and normalized to the VSMOW-SLAP (δ2H) and VPDB (δ13C) scales. Analytical precision was ±3-5 ‰ for δ2H and ±0.2–0.3 ‰ for δ13C. The dataset was generated to reconstruct past hydroclimate and vegetation dynamics in Central Europe using plant wax δ2H records. Full methodological details are provided in the study: Central Europe hydroclimate since the Younger Dryas inferred from vegetation-corrected sedimentary plant wax δ2H values (Santos et al., 2026).

Digitale Topographische Karte 1:100 000

Die Digitale Topographische Karte 1:100 000 (DTK100) beinhaltet die Rasterdaten der „Topographischen Karte 1:100 000 (TK100)“. Die DTK100 wird computerunterstützt aus dem ATKIS®-DLM und DGM der Bundesländer abgeleitet. Die Signaturierung der Kartenobjekte folgt den Regeln des Signaturenkatalogs ATKIS®-SK100. Die Rasterdaten sind nach kartographischen Inhaltselementen in Layer (Einzelebenen) gegliedert. Neben dem Summenlayer, der das vollständige farbige Kartenblatt beinhaltet, sind 24 weitere einfarbige Einzellayer Bestandteil der DTK100. Die Daten stehen in einer einheitlichen Rasterauflösung flächendeckend für die Bundesrepublik Deutschland zur Verfügung.

INSPIRE-WMS SL Geografische Bezeichnungen ATKIS - Geografische Bezeichnungen

Dieser Dienst stellt für das INSPIRE-Thema Geografische Bezeichnungen aus ATKIS Basis-DLM umgesetzte Daten bereit.:Dieser Layer visualisiert die saarländischen Geografische Bezeichnungen des ATKIS Basis-DLM. Die Datengrundlage erfüllt die INSPIRE Datenspezifikation.

Reproductive parameters and oocyte fatty acid compositions in European sprat Sprattus sprattus sampled in the Baltic Sea

Fecundity of marine fish species is highly variable, but trade-offs between fecundity and egg quality have rarely been observed at the individual level. We investigated spatial differences in reproductive investment of individual European sprat Sprattus sprattus (Linnaeus 1758) females by determining batch fecundity, condition indices (somatic condition index and gonadosomatic index) as well as oocyte dry weight, protein content, lipid content, spawning batch energy content, and fatty acid composition. Sampling was conducted in five different spawning areas within the Baltic Sea between March and May 2012. Sampling was conducted in the Baltic Sea during three cruises of the German RV “Alkor” in March (https://www2.bsh.de/aktdat/dod/fahrtergebnis/2012/20120331.htm), April (http://dx.doi.org/10.3289/CR_AL390), and May (http://dx.doi.org/10.3289/CR_AL392) 2012. Five different areas were sampled: KB, AB, Bornholm Basin (BB), Gdansk Deep (GD), and Gotland Basin (GB). Fish were caught with a pelagic trawl. Trawling time was in general 30 minutes per haul. The total lengths (TL, ±0.1 cm) of at least 200 sprat per haul were measured for length frequency analysis. Only female sprat with ovaries containing fully hydrated oocytes were sampled, running ripe females were rejected to avoid possible loss of oocytes, as this would lead to an underestimation of batch fecundity. Sprat were sampled immediately after the haul was on deck and stored on crushed ice. The sampled fish were weighed (wet mass WM, ±0.1 g) and measured (TL, ±0.1 cm), and their ovaries were dissected carefully. Oocytes were extracted from a single ovary lobe, rinsed with deionized water, and counted under a stereo microscope (Leica MZ 8). A counted number of oocytes (around 50 oocytes per fish) were transferred to pre-weighed tin-caps (8 x 8 x 15 mm). These samples were used to determine the oocyte dry weight, lipid content, and fatty acid composition. In addition, a counted number of oocytes (around 10 oocytes per fish) were sampled in Eppendorf caps for determination of protein content. Oocyte samples were stored at -80 °C for subsequent fatty acid and protein analysis in the laboratory. Finally, both ovary lobes were stored in 4% buffered formaldehyde solution for further fecundity analysis. Ovary free body mass (OFBM, ±0.1 g) of sampled frozen fish and fixed ovary mass (OM, ±0.1 g) were measured (Sartorius, 0.01 g) in the laboratory on land, to avoid imprecise measurements due to the ship's motion at sea. Absolute batch fecundity (ABF) was determined gravimetrically using the hydrated oocyte method suggested by Hunter et al. (1985) for indeterminate batch spawners. For ascertainment of the relative batch fecundity per unit body weight (RBF), ABF was divided by OFBM. Further, a condition index (CI) was determined: CI = (OFBM/〖TL〗^3 )× 100. A gonadosomatic index (GSI) was calculated with the following formula: GSI = (OM/OFBM)× 100. Oocyte dry weight was determined to the nearest 0.1 µg (Sartorius SC 2 micro-scale), using the samples stored in pre-weighed tin caps, after freeze-drying (Christ Alpha 1-4) for at least 24 hours. After subtracting the weight of the empty tin cap, the average oocyte dry mass (ODM) was then calculated by dividing the total weight by the number of oocytes contained in the tin cap. The fatty acid signature of oocytes was determined by gas chromatography (GC). Lipid extraction of the dried oocytes was performed using a 1:1:1 solvent mix of dichloromethane:methanol:chloroform. A five component fatty acid methyl ester Mix (13:0 - 21:0, Restek, Bad Homburg, Germany; c = 8.5 ng component µl-1) was added as an internal standard and a 23:0 fatty acid standard (Restek, Bad Homburg, Germany, c = 25.1 ng µl-1) was added as an esterification efficiency control. Esterification was performed over night at 50 °C in 200 µl 1% H2SO4 and 100 µl toluene. The solvent phase was transferred to 100 µl n-hexane and a 1 µl aliquot measured in a Thermo Fisher Trace GC Ultra with a Thermo Fisher TRACETM TR-FAME column (10 m*0.1 mm*0.2 µm). For more details on sample preparation and GC settings, see Hauss et al. (2012). The total lipid content per oocyte was determined by adding up the weights of all detected fatty acids. To ensure comparability with past studies, results for FA are given as a percentage of the combined weights of all detected FA. An average of 10 oocytes were transferred to 5*9 mm tin cups (Hekatech) and dried at 50 °C for >24 h. Total organic carbon (C) and nitrogen (N) content was measured using a Thermo Fisher Scientific Elemental Analyzer Flash 2000. From the total amount of N in the sample, the oocyte protein content was calculated according to Kjeldahl (Bradstreet, 1954), using a factor of 6.25. The oocyte gross energy content was calculated on the basis of measured protein and lipid content, which were multiplied with corresponding energy values from literature. The measured amount of proteins per given oocyte (P, mg) was multiplied by a factor of 23.66 J mg-1 and was added to the total amount of lipids per oocyte (L, mg) multiplied by 39.57 J mg-1 (Henken et al. 1986). Consequently, the oocyte energy content of each individual female sprat was multiplied by its relative batch fecundity in order to obtain a standardized estimate of the total amount of energy invested into a single spawning batch (SBEC, J g-1 OFBM): SBEC = [(P × 23.66 (J )/mg)+(L × 39.57 (J )/mg)]× RBF

INSPIRE-WFS SL Geografische Bezeichnungen ALKIS - Benannter Ort - OGC WFS Interface

Dieser Dienst stellt fuer das INSPIRE-Thema Geografische Bezeichnungen aus ALKIS umgesetzte Daten bereit.:Ein beliebiges reales Objekt, das mit einem oder mehreren Eigennamen bezeichnet wird.

INSPIRE HH Geografische Bezeichnungen ALKIS

Dieser Datensatz stellt die geografischen Bezeichnungen von Hamburg aus dem ALKIS Quellmodell im INSPIRE-Zielmodell dar. Basis für ALKIS® ist ein von der Arbeitsgemeinschaft der Vermessungsverwaltungen der Länder der Bundesrepublik Deutschland (AdV) entwickeltes Fachkonzept zur Führung aller Basisdaten des amtlichen Vermessungswesens.

INSPIRE HH Geografische Bezeichnungen

Dieser Datensatz stellt alle geografischen Bezeichnungen von Hamburg im INSPIRE-Zielmodell dar, die NICHT aus ALKIS oder ATKIS abgeleitet werden (denn dafür liegen separate Datensätze im INSPIRE-Zielmodell vor, s. Querverweise.) Aktuell sind die Bezeichnungen der Statistischen Einheiten enthalten.

INSPIRE HH Geografische Bezeichnungen ATKIS Basis-DLM

Dieser Datensatz stellt die geografischen Bezeichnungen von Hamburg aus dem ATKIS Basis-DLM Quellmodell im INSPIRE-Zielmodell dar. ATKIS® steht für Amtliches Topographisch-Kartographisches Informationssystem und ist als Gemeinschaftsprojekt der Arbeitsgemeinschaft der Vermessungsverwaltungen der Länder der Bundesrepublik Deutschland (AdV) konzipiert worden.

INSPIRE-WMS SL Geografische Bezeichnungen ALKIS - Geografische Bezeichnungen

Dieser Dienst stellt für das INSPIRE-Thema Geografische Bezeichnungen aus ALKIS umgesetzte Daten bereit.:Dieser Layer visualisiert die saarländischen Geografische Bezeichnungen des ALKIS Datenmodells. Die Datengrundlage erfüllt die INSPIRE Datenspezifikation.

WMS INSPIRE HH Geografische Bezeichnungen ATKIS Basis-DLM

Der WebMapService (WMS) stellt die geografischen Bezeichnungen von Hamburg im INSPIRE-Zielmodell dar. Zur genaueren Beschreibung der Daten und Datenverantwortung nutzen Sie bitte den Verweis zur Datensatzbeschreibung.

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