CO-MICC is a data portal for freshwater-related climate change risk assessment at multiple spatial scales. It is named after the research project during which it was developed, i.e. the CO-MICC (CO-development of Methods to utilize uncertain multi-model-based Information on freshwater-related hazards of Climate Change) project (2017-2021). The aim of CO-MICC is to support decision making in the public and private spheres dealing with future availability of freshwater resources. This climate service is operated and maintained by the International Centre for Water Resources and Global Change (ICWRGC), and more broadly by the German Federal Institute of Hydrology. The portal comprises data of over 80 indicators of freshwater-related hazards of climate change, which can be visualized in the form of global maps or interactive graphs. The indicators are dynamically calculated based on modelled annual and monthly gridded (0.5°) data sets of climate and hydrological variables. These data sets were computed by a multi-model ensemble comprising four Representative Concentration Pathways (RCPs), four General Circulation Models (GCMs), three Global Hydrological Models (GHMs) and two variants per hydrological model, which amounts to 96 ensemble members in total. They were provided by three European research modelling teams that are part of the ISIMIP consortium. The indicator data correspond to absolute or relative changes averaged over future 30-year periods, as compared to the reference period 1981-2010.
A highly temporally and spatially resolved measurement campaign was conducted over a one-year period to analyze water samples for a total of 35 pharmaceuticals, pesticides and UV-filters. Between spring 2022 and spring 2023, surface water samples were collected twice a week at 14 sites at the Warnow estuary and its adjacent areas in Rostock, Germany, as part of the OTC-Genomics sampling campaign. The sampling area included one upstream freshwater site before the river enters the estuary, seven sampling sites along the estuary - surrounded by the urban area of Rostock - and six sites along the Baltic coastline. Sampling was conducted every Monday and Thursday, always three hours after sunrise. After enrichment with solid phase extraction, 1307 samples were analyzed using liquid chromatography–tandem mass spectrometry. Additional to the dataset included here, the same samples were analyzed for prokaryotic and eukaryotic community composition (16S and 18S rRNA gene amplicon sequencing), cell abundances (flow cytometry), and physico-chemical environmental parameters.
The data set contains the results for the porewater composition of samples, collected from different (up to 11) depths (down to 4.5 mbsf) at two sites in front of the Hütelmoor, southern Baltic Sea. Porewater was under impact by submarine groundwater discharge and collected during 6 field campaigns in years 2020 and 2021 using permanent multi-port samplers. Stable isotope signatures (H, C, O, S), major, and trace element data are presented to characterize the mixture between the endmembers freshwater and the brackish surface water component, superimposed by benthic diagenesis.
We experimentally manipulated the presence of light and light intensity (F = 36.7 μmol m⁻² s⁻¹; D = 0 μmol m⁻² s⁻¹; L = 4.8 μmol m⁻² s⁻¹; M = 21.4 μmol m⁻² s⁻¹) and tested their effects on the vertical positioning of the freshwater jellyfish (Craspedacusta sowerbii) medusae. For the experiments, approximately 100 C. sowerbii medusae were collected in August 2017 in two lakes (Haager Weiher and Leitner Weiher) in Bavaria, Germany. Testing was carried out at Seeon Limnological Station in close vicinity to the collection site. The experimental columns were 7.4 cm in diameter and 170 cm high and were marked with horizontal lines every 5 cm for visual position estimation. Four replicates run in parallel. One C. sowerbii medusa was used in each experimental column. Data cover three light treatments, each run twice: 1) 16:8 h full light (F)–dark (D) light intensity cycles (nF = 716, nD = 428), 2) 16:8 h full light (F)–full dark (D) light intensity cycles complemented with low (L) and medium (M) light intensities (nF = 96, nM = 96, nL = 48, nD = 288), and 3) altered light intensities in approximately 2-hour periods randomly among dark, low, medium, and full light intensities (nF = 96, nM = 76, nL = 72, nD = 336). Results show that light alone was sufficient to trigger a vertical position change of jellyfish towards the water surface, especially high light.
In January 2024 a river flood by the Elbe and Weser resulted in very high discharge of freshwater into the German Bight. To follow this river, plume the RV Mya II cruised from Sylt and between Helgoland, Cuxhaven, Büsum. All instruments were set up in the MOSES laboratory container. Standard hydrographic parameters were determined with a pocket ferrybox running with ship's surface water supply. In addition, dissolved methane was determined continuously. We used a degassing unit which was using surface water from the ship's water supply. The gas mixture was subsequently analysed with a Greenhouse Gas Analyzer from LosGatos. Conversion to methane concentration was performed with water samples, from which the methane content was determined with gas chromatography. Atmospheric methane concentrations were obtained from the ICOS-station Helgoland. Wind speed was obtained from the ships meteorological system. The diffusive flux was calculated as outlined in the additional meta data description.
The PLANKTON*NET data provider at the Alfred Wegener Institute for Polar and Marine Research is an open access repository for plankton-related information. It covers all types of phytoplankton and zooplankton from marine and freshwater areas. PLANKTON*NET's greatest strength is its comprehensiveness as for the different taxa image information as well as taxonomic descriptions can be archived. PLANKTON*NET also contains a glossary with accompanying images to illustrate the term definitions. PLANKTON*NET therefore presents a vital tool for the preservation of historic data sets as well as the archival of current research results. Because interoperability with international biodiversity data providers (e.g. GBIF) is one of our aims, the architecture behind the new planktonnet@awi repository is observation centric and allows for mulitple assignment of assets (images, references, animations, etc) to any given observation. In addition, images can be grouped in sets and/or assigned tags to satisfy user-specific needs . Sets (and respective images) of relevance to the scientific community and/or general public have been assigned a persistant digital object identifier (DOI) for the purpose of long-term preservation (e.g. set ""Plankton*Net celebrates 50 years of Roman Treaties"", handle: 10013/de.awi.planktonnet.set.495)"
The rewetting of drained peatlands is a promising measure to mitigate carbon dioxide (CO2) emissions by preventing the further mineralization of the peat soil through aeration. While freshwater rewetted peatlands can be significant methane (CH4) sources in the short-term, in coastal ecosystems the input of sulfate-rich seawater could potentially mitigate these emissions. The purpose of the data collection was to examine whether the presence of sulfate, known as an alternative electron acceptor, can cause lower CH4 production and thus, emissions by favoring the growth of sulfate-reducers, which outcompete methanogens for substrate. We therefore investigated underlying variables such as the methane-cycling microbial community along with CH4 fluxes and set them in context with CO2 fluxes along a transect in a coastal peatland before and directly after rewetting. In this way, a conclusion about the short-term greenhouse gas mitigation potential of brackish water rewetting of coastal peatlands could be drawn. This data collection consists of six data sets, with direct comparisons before and after rewetting of CO2 and CH4 fluxes (Tab. 2) and associated microbial communities (Tab. 1) being the main data. Pore water geochemistry (Tab. 1 and 3) and surface water parameters (Tab. 4) were collected simultaneously to provide potential explanatory variables. The sampling of continuous water level (Tab. 5) within wells and atmospheric weather data (air and soil temperature, relative humidity, photosynthetic photon flux density; Tab. 6) from a weather station was done in addition. Measurements started in June/July/August 2019 after field installation was finalized and were conducted on the drained coastal fen "Polder Drammendorf" on the island of Rügen in North-East Germany. On 26th November 2019, the dike was opened and channeled in order to rewet the peatland with brackish water. Before, the dike separated the peatland from the adjacent bay "Kubitzer Bodden", which is part of a brackish lagoon system connected to the Baltic Sea. Therefore, the peatland was nearly completely flooded and now resembles a shallow lagoon with high fluctuating water levels. We measured along a humidity (pre-rewetting)/water level (post-rewetting) gradient (stations 0-8) towards and across the main North-South oriented drainage ditch, including four stations on the Eastern side of the ditch (1–4), two ditch stations (0, 5) and two stations (6, 7) on the Western side of the ditch. Station 8 was chosen as an additional station farther towards the adjacent bay on the Western side, but was only accessible before rewetting. CH4 and CO2 fluxes (stations 0-7) were calculated from online gas concentrations measurements using laser-based analyzers and manual closed chambers (Livingston, G. P., & Hutchinson, G. (1995). Enclosure-based measurement of trace gas exchange: Applications and sources of error. In P.A. Matson, & R.C. Harriss (Eds.). Biogenic trace gases: Measuring emissions from soil and water (pp. 14–51). Blackwell Science Ltd., Oxford, UK). Soil cores for microbial, dissolved gas concentrations and isotopic analysis were taken using a Russian type peat corer (De Vleeschouwer, F., Chambers, F. M., & Swindles, G. T. (2010). Coring and sub-sampling of peatlands for palaeoenvironmental research. Mires and Peat, 7, 1–10) before and after rewetting. Each time, we took duplicates at stations 1-8 for this rather labor-intensive process and divided the core into four depth sections: surface, 5–20, 20–40 and 40–50 cm. Subsamples for dissolved gases and stable carbon isotope analyses were taken with tip-cut syringes with a distinct volume of 3 ml (Omnifix, Braun, Bad Arolsen, Germany) and immediately placed into NaCl-saturated vials (20 ml, Agilent Technologies, 5182-0837, Santa Clara, USA) leaving no headspace and closed gas-tight using rubber stoppers and metal crimpers (both: diameter 20 mm, Glasgerätebau Ochs, Bovenden, Germany). Absolute abundances of specific functional target genes, including methane- and sulfate-cycling microorganisms, were measured with quantitative PCR (qPCR) after DNA was extracted (GeneMATRIX Soil DNA Purification Kit, Roboklon, Berlin, Germany) and quantified (Qubit 2.0 Fluorometer, ThermoFisher Scientific, Darmstadt, Germany). Surface and pore water parameters were measured in parallel to the gas measurements and soil coring for microbial analyses. Most surface water variables (pH, specific conductivity, salinity, nutrients, oxygen, sulfate and chloride concentrations, DOC/DIC) were measured in-situ using a multiparameter digital water quality meter or taken to the laboratory as water samples for further analysis. Likewise, pore water/soil variables (pH, specific conductivity, nutrients, metals, sulfate and chloride concentrations, CNS) were either measured in-situ or taken to the laboratory as soil samples. While surface water analysis was only conducted in the drainage ditch before rewetting, it was done along the entire transect after rewetting. In contrast, pore water/soil analysis was mostly conducted before rewetting and only repeated occasionally after rewetting where possible.
Zielsetzung: Das Vorhaben hat das Ziel, ein innovatives, dezentrales IoT-System zu entwickeln, das die Bewässerung und Agrarprozesse im Weinbau sowie in anderen landwirtschaftlichen Betrieben revolutionieren soll. Mithilfe hochmoderner Sensorik und Künstlicher Intelligenz (KI) soll der Trockenstress von Pflanzen in Echtzeit überwacht werden , um datenbasierte, intelligente Bewässerungsentscheidungen zu treffen. Dadurch soll der Wasserverbrauch signifikant reduziert werden - Schätzungen zufolge um bis zu 30 %, was Millionen von Litern Wasser jährlich entspricht. Dies trägt nicht nur zur Schonung wertvoller Süßwasserressourcen bei, sondern schützt auch die Grundwasserqualität und unterstützt die nachhaltige Nutzung von Ressourcen. Der Anlass für das Projekt liegt in den zunehmenden Herausforderungen, vor denen die Landwirtschaft angesichts des Klimawandels steht. Längere Trockenperioden, steigende Temperaturen und die globale Wasserknappheit setzen traditionelle Bewässerungsmethoden unter Druck, die oft ineffizient und verschwenderisch sind. Laut dem Weltwasserbericht der Vereinten Nationen von 2021 werden etwa 69 % des weltweit verfügbaren Süßwassers in der Landwirtschaft genutzt, wobei ineffiziente Praktiken wie Großflächenberegnung erhebliche Verluste verursachen. Besonders in Weinbauregionen führt die übermäßige Nutzung von Wasser zu ökologischen und wirtschaftlichen Problemen. Das Vorhaben möchte diese Problematik adressieren, indem es innovative Technologien einsetzt, die den Wasserverbrauch optimieren und die landwirtschaftliche Produktivität erhöhen. Darüber hinaus verfolgt das Projekt einen umfassenden Ansatz: Neben der Entwicklung und Erprobung von Sensorik und Hardware wird eine KI-basierte Bewässerungssteuerung entwickelt , die in realen landwirtschaftlichen Betrieben getestet wird. Das IoT-System ermöglicht eine präzise und ressourcenschonende Bewässerung in der Landwirtschaft. Dazu werden Sensoren zur Messung von Bodenfeuchtigkeit, Temperatur, Luftfeuchtigkeit und Pflanzenzustand in einer Pilotanlage installiert. Die erfassten Daten werden über eine drahtlose Infrastruktur in eine Cloud übertragen, wo sie verarbeitet und analysiert werden. Eine KI wertet die Daten aus, erkennt Zusammenhänge zwischen den Messwerten und dem Trockenstress der Pflanzen und steuert die Bewässerung automatisch.
The Crustacea Collection at the Museum of Nature, Hamburg, represents the most extensive collection of crustaceans in Germany and one of the most important collections of its kind in the World. Currently, it comprises more than 850,000 specimens representing approximately 7,200 species, arranged in 2,100 genera and 350 families. Approximately 90% of the species in the collection are from marine habitats—the Southern Ocean is particularly well represented—but also includes material from freshwater and terrestrial habitats. To date, the collection comprises more than 70,000 catalog numbers of material collected worldwide. The taxonomic scope of the collection encompasses material from all classes within the Crustacea Brünnich, 1772, except the Cephalocarida Sanders, 1955. Particularly well represented are the Malacostraca Latreille, 1802, especially the orders Amphipoda Latreille, 1816 (about 250,000 specimens) and the marine Isopoda Latreille, 1816 (ca. 170,000). The order Decapoda Latreille, 1802 is also present, with about 37,000 individuals. Regarding the type material, the Crustacea collection contains more than 4,000 lots, including holotypes, allotypes, paratypes, neotypes, syntypes, paralectotypes, and unspecific types. The largest type collection is the Ostracoda, with types of 739 species, followed by the Isopoda (369), the Amphipoda (239), and the Cumacea (139). In recent years, digitization, data validation, and data homogenization have been among the primary tasks not only in the Crustacea but in all zoological collections of the Museum of Nature. This is an ongoing process that will continue to be extended and made publicly available through the LIB digital catalog (https://collections.leibniz-lib.de) and the Global Biodiversity Information Facility (GBIF). The Crustacea collection continues to grow through donations and new field collections around the world.
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