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  • 1
    Keywords: Forschungsbericht
    Description / Table of Contents: Stripe-array diode lasers naturally operate in an anti-phase supermode. This produces a sharp double lobe far field at angles α depending on the period of the array. In this paper a 40 emitter gain guided stripe-array laterally coupled by off-axis filtered feedback is investigated experimentally and numerically. We predict theoretically and confirm experimentally that at doubled feedback angle 2α a stable higher order supermode exists with twice the number of emitters per array period. The theoretical model is based on time domain traveling wave equations for optical fields coupled to the carrier density equation taking into account diffusion of carriers. Feedback from the external reflector is modeled using Fresnel integration.
    Type of Medium: Online Resource
    Pages: Online-Ressource (10 S., 602 KB) , graph. Darst.
    Series Statement: Preprint / Weierstraß-Institut für Angewandte Analysis und Stochastik 1442
    DDC: 510
    Language: English
    Note: Unterschiede zwischen dem gedruckten Dokument und der elektronischen Ressource können nicht ausgeschlossen werden. - Auch als gedr. Ausg. vorhanden , Systemvoraussetzungen: Acrobat reader.
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  • 2
    Keywords: Forschungsbericht ; Mikroskopie ; Mehrphotonenprozess
    Type of Medium: Online Resource
    Pages: Online-Ressource (PDF-Datei: 73 S., 4.582 KB) , zahlr. Ill. u. graph. Darst.
    Language: German
    Note: Unterschiede zwischen dem gedruckten Dokument und der elektronischen Ressource können nicht ausgeschlossen werden , Förderkennzeichen BMBF 13 N 11131. - Verbund-Nr. 01086265. - Engl. Berichtsbl. u.d.T.: Novel concepts for the utilization of entangled photons for microscopy in life sciences , Systemvoraussetzungen: Acrobat reader. , Zsfassungen in dt. u. engl. Sprache
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  • 3
    Publication Date: 2022-10-05
    Description: The spatial and angular emission patterns of artificial and natural light emitted, scattered, and reflected from the Earth at night are far more complex than those for scattered and reflected solar radiation during daytime. In this commentary, we use examples to show that there is additional information contained in the angular distribution of emitted light. We argue that this information could be used to improve existing remote sensing retrievals based on night lights, and in some cases could make entirely new remote sensing analyses possible. This work will be challenging, so we hope this article will encourage researchers and funding agencies to pursue further study of how multi‐angle views can be analyzed or acquired.
    Description: Plain Language Summary: When satellites take images of Earth, they usually do so from directly above (or as close to it as is reasonably possible). In this comment, we show that for studies that use imagery of Earth at night, it may be beneficial to take several images of the same area at different angles within a short period of time. For example, different types of lights shine in different directions (street lights usually shine down, while video advertisements shine sideways), and tall buildings can block the view of a street from some viewing angles. Additionally, since views from different directions pass through different amounts of air, imagery at multiple angles could be used to obtain information about Earth's atmosphere, and measure artificial and natural night sky brightness. The main point of the paper is to encourage researchers, funding agencies, and space agencies to think about what new possibilities could be achieved in the future with views of night lights at different angles.
    Description: Key Points: Remote sensing using the visible band at night is more complex than during the daytime, especially due to the variety of artificial lights. Views of night lights intentionally taken from multiple angles provide several advantages over near‐nadir or circumstantial view geometries. Night lights remote sensing would benefit from greater consideration of the role viewing geometry plays in the observed radiance.
    Description: EC H2020 H2020 Societal Challenges http://dx.doi.org/10.13039/100010676
    Description: Helmholtz Association http://dx.doi.org/10.13039/501100009318
    Description: Slovak Research and Development Agency
    Description: Xunta de Galicia (Regional Government of Galicia) http://dx.doi.org/10.13039/501100010801
    Description: National Aeronautics and Space Administration http://dx.doi.org/10.13039/100000104
    Description: University of Hong Kong http://dx.doi.org/10.13039/501100003803
    Description: Fonds de recherche du Québec
    Description: EC Emprego, Assuntos Sociais e Inclusão European Social Fund http://dx.doi.org/10.13039/501100004895
    Description: Natural Environment Research Council http://dx.doi.org/10.13039/501100000270
    Description: City of Cologne, Germany
    Keywords: ddc:551.5
    Language: English
    Type: doc-type:article
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  • 4
    Publication Date: 2021-06-27
    Description: Freshwater ecosystems are hotspots of biodiversity. They are of major importance for humans because they provide vital ecosystem services. However, as humans tend to settle near freshwaters and coastal areas, these ecosystems are also over‐proportionally affected by anthropogenic stressors. Artificial light at night can occur as a form of environmental pollution, light pollution. Light pollution affects large areas on a worldwide scale, is growing exponentially in radiance and extent and can have diverse negative effects on flora, fauna and on human health. While the majority of ecological studies on artificial light at night covered terrestrial systems, the studies on aquatic light pollution have unraveled impact on aquatic organisms, ecosystem functions as well as land‐water‐interactions. Although monitoring of light pollution is routinely performed from space and supported by ground‐based measurements, the extent and the amount of artificial light at night affecting water bodies is still largely unknown. This information, however, is essential for the design of future laboratory and field experiments, to guide light planners and to give recommendations for light pollution regulations. We analyze this knowledge gap by reviewing night‐time light measurement techniques and discuss their current obstacles in the context of water bodies. We also provide an overview of light pollution studies in the aquatic context. Finally, we give recommendations on how comprehensive night‐time light measurements in aquatic systems, specifically in freshwater systems, should be designed in the future. This article is categorized under: Water and Life 〉 Stresses and Pressures on Ecosystems Water and Life 〉 Conservation, Management, and Awareness Water and Life 〉 Methods
    Description: Artificial light at night can occur as a form of environmental pollution, light pollution, which also affects aquatic systems. We identify a knowledge gap of insufficient data regarding the status quo of aquatic light pollution and provide a route to fill this gap with in‐situ measurements. image
    Description: European Cooperation in Science and Technology http://dx.doi.org/10.13039/501100000921
    Description: Leibniz Association http://dx.doi.org/10.13039/501100001664
    Description: Leibniz‐Institute of Freshwater Ecology and Inland Fisheries
    Keywords: 333.91 ; ALAN ; artificial light at night ; light measurement ; light pollution
    Type: article
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  • 5
    Publication Date: 2024-03-18
    Description: Water isotopes (δ2H and δ18O) were analyzed in samples collected in lakes associated to major riverine systems in northeastern Germany throughout 2020. This sub-dataset is derived from water samples taken at buoys temporarily installed in deep parts of the lake. Samples were taken monthly to bimonthly from March to October 2020. A Limnos water sampler was used to obtain samples from 1 m below water surface. Isotope analysis was conducted at IGB Berlin, using a Picarro L2130-i cavity ring-down spectrometer. Water temperatures were measured in similar depths with an Aqua TROLL 600 multiparameter sonde (In-Situ, Fort Collins, CO, USA). The data give information about the seasonal isotope amplitude in the sampled lakes and about spatial isotope variability in different branches of the associated riverine systems.
    Keywords: Breiter_Luzin_Buoy; Breiter Luzin, Germany; Cavity ring-down spectroscopy (CRDS), L2130-i, Picarro Inc.; Comment; CONNECT; Connectivity and synchronization of lake ecosystems in space and time; CT-probe Aqua TROLL 100; Dahme; DATE/TIME; Depth, bottom/max; DEPTH, water; Ellbogensee_Buoy; Ellbogensee, Germany; Event label; Feldberger_Haussee_Buoy; Feldberger Haussee, Germany; GEPRIS_418096356; Gr_Paelitzsee_north_Buoy; Großer_Labussee_Buoy; Großer_Lychensee_Buoy; Großer_Priepertsee_Buoy; Großer Labussee, Germany; Großer Lychensee, Germany; Großer Priepertsee, Germany; Groß Pälitzsee (north), Germany; Havel; Influence of environmental factors onto the hydrogen isotopic signature of aquatic plants; Kl_Paelitzsee_east_Buoy; Klein Pälitzsee (east), Germany; Labussee_Buoy; Labussee, Germany; LIMNOS water sampler; LIMNOSWS; Müritz; Röblinsee, Germany; Roeblinsee_Buoy; Schmaler_Luzin_Buoy; Schmaler Luzin, Germany; Spree; Stechlinsee_Buoy; Stechlinsee, Germany; Stolpsee_Buoy; Stolpsee, Germany; Temperature, water; Ucker; Useriner_See_Buoy; Useriner See, Germany; Vilzsee_Buoy; Vilzsee, Germany; Woblitzsee_Buoy; Woblitzsee, Germany; Zierker_See_Buoy; Zierker See, Germany; Ziernsee_Buoy; Ziernsee, Germany; Zotzensee_Buoy; Zotzensee, Germany; δ18O; δ18O, water; δ18O, water, standard deviation; δ2H; δ Deuterium, water; δ Deuterium, water, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 781 data points
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  • 6
    Publication Date: 2024-03-18
    Description: Water isotopes (δ2H and δ18O) were analyzed in samples collected in lakes associated to major riverine systems in northeastern Germany throughout 2020. This sub-dataset is derived from water samples taken at multiple spatially distributed spots in four selected lakes. A Limnos water sampler was used to obtain samples from 1 m below water surface on 29th and 30th September 2020. Isotope analysis was conducted at IGB Berlin, using a Picarro L2130-i cavity ring-down spectrometer.
    Keywords: Cavity ring-down spectroscopy (CRDS), L2130-i, Picarro Inc.; CONNECT; Connectivity and synchronization of lake ecosystems in space and time; Dahme; Depth, bottom/max; DEPTH, water; Depth of Secchi Disk; Ellbogensee_1; Ellbogensee_2; Ellbogensee_3; Ellbogensee_4; Ellbogensee_5; Ellbogensee_6; Ellbogensee, Germany; Event label; GEPRIS_418096356; Großer_Priepertsee_1; Großer_Priepertsee_2; Großer_Priepertsee_3; Großer_Priepertsee_4; Großer_Priepertsee_5; Großer_Priepertsee_6; Großer_Priepertsee_7; Großer Priepertsee, Germany; Havel; Influence of environmental factors onto the hydrogen isotopic signature of aquatic plants; Location; Müritz; Röblinsee, Germany; Roeblinsee_1; Roeblinsee_2; Roeblinsee_3; Roeblinsee_4; Roeblinsee_5; Roeblinsee_6; Spree; Ucker; Zierker_See_1; Zierker_See_2; Zierker_See_3; Zierker_See_4; Zierker_See_5; Zierker_See_6; Zierker See, Germany; δ18O; δ18O, water; δ18O, water, standard deviation; δ2H; δ Deuterium, water; δ Deuterium, water, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 171 data points
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  • 7
    Publication Date: 2024-03-22
    Description: Water isotopes (δ2H and δ18O) were analyzed in samples collected in lakes associated to major riverine systems in northeastern Germany throughout 2020. This sub-dataset is derived from water samples collected from lake shores. Samples were taken in March and July 2020 with a pipette from 40-60 cm depth below water surface and directly transferred into a measurement vial. Stable isotope analysis was conducted at IGB Berlin, using a Picarro L2130-i cavity ring-down spectrometer. The data give information about the seasonal isotope amplitude in the sampled lakes and about spatial isotope variability in different branches of the associated riverine systems.
    Keywords: Breiter_Luzin; Breiter Luzin, Germany; Canower_See; Canower See, Germany; Cavity ring-down spectroscopy (CRDS), L21301i, Picarro Inc.; CONNECT; Connectivity and synchronization of lake ecosystems in space and time; Daemeritzsee; Dahme; Dahme, Germany; Dämeritzsee, Germany; DATE/TIME; DEPTH, water; Event label; Feldberger_Haussee; Feldberger Haussee, Germany; GEPRIS_418096356; Große_Krampe; Große Krampe, Germany; Großer_Priepertsee; Großer_See-Fürstenwerder; Großer Priepertsee, Germany; Großer See, Fürstenwerder, Germany; Havel; Influence of environmental factors onto the hydrogen isotopic signature of aquatic plants; Kleiner Müggelsee, Germany; Koelpinsee; Kölpinsee , Germany; Krewitzsee; Krewitzsee, Germany; Labussee; Labussee, Germany; Latitude of event; Longitude of event; Mellensee, Funkenhagen, Germany; Mellensee-Funkenhagen; Mueggelsee_a; Mueggelsee_b; Mueggelsee_inflow; Mueggelsee_outflow; Mueritz; Müggelsee, Germany; Müritz; Müritz, Germany; Oberrucker_See_Gr._Lanke; Oberrucker See (Gr. Lanke), Germany; Peetschsee; Peetschsee, Germany; Pipette; Raetzsee; Rätzsee, Germany; Schmaler_Luzin_a; Schmaler_Luzin_b; Schmaler Luzin, Germany; Schwarzer_See-Mirow; Schwarzer See, Mirow, Germany; Spree; Spree_a; Spree_b; Spree, Germany; Suckower_Haussee; Suckower Haussee, Germany; Ucker; Vilzsee; Vilzsee, Germany; Wrechener_See; Wrechener See, Germany; Zethnersee; Zethnersee, Germany; Zotzensee_a; Zotzensee_b; Zotzensee, Germany; δ18O; δ18O, water; δ18O, water, standard deviation; δ2H; δ Deuterium, water; δ Deuterium, water, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 204 data points
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  • 8
    Publication Date: 2024-04-23
    Description: Water isotopes (δ2H and δ18O) were analyzed in samples collected in lakes associated to major riverine systems in northeastern Germany throughout 2020. The dataset is derived from water samples taken at a) lake shores (sampled in March and July 2020); b) buoys temporarily installed in deep parts of the lake (sampled monthly from March to October 2020); c) multiple spatially distributed spots in four selected lakes (in September 2020); d) the outflow of Müggelsee (sampled biweekly from March 2020 to January 2021). At shores, water was sampled with a pipette from 40-60 cm below water surface and directly transferred into a measurement vial, while at buoys a Limnos water sampler was used to obtain samples from 1 m below surface. Isotope analysis was conducted at IGB Berlin, using a Picarro L2130-i cavity ring-down spectrometer. The data give information about the seasonal isotope amplitude in the sampled lakes and about spatial isotope variability in different branches of the associated riverine systems.
    Keywords: CONNECT; Connectivity and synchronization of lake ecosystems in space and time; Dahme; GEPRIS_418096356; Havel; Influence of environmental factors onto the hydrogen isotopic signature of aquatic plants; Müritz; Spree; Ucker; δ18O; δ2H
    Type: Dataset
    Format: application/zip, 6 datasets
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  • 9
    Publication Date: 2024-05-11
    Description: Lake Süßer See is a eutrophic to hypertrophic medium-sized lake (max. depth 8.2 m, mean depth 4.3 m; volume 11.6 Mio. m³, surface area 268 ha) which receives water from the south-eastern foothills of the Harz Mountains and a former mining area for copper shale (Mansfelder Land) by the stream “Böse Sieben” (Becker et al. 2001; Lewandowski et al. 2003). The lake basin represents a sinkhole that has been formed by dissolution of underlying Permian evaporates (Wennrich et al. 2007). High P load by the inflows are a result of extensive fertilizer application in the catchment further supporting the high trophic state of the lake. Although phosphorus removal by aluminum sulfate application between 1976 and 1992 reduced internal P loading from the sediments high external, diffuse-source TP loads prevented substantial water quality improvements (TPlake about 200 µg/L) and annually occurring algae blooms of cyanobacteria persist. This publication series includes datasets collected on Lake Süßer See during the Inland Water Remote Sensing Validation Campaign 2017 (Bumberger et al. 2023).
    Type: Dataset
    Format: application/zip, 15 datasets
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  • 10
    Publication Date: 2024-05-11
    Description: Kelbra Reservoir is a shallow lowland reservoir (approx. 35 Mio. m³ volume; max. depth 5,5 m, mean depth 3.5 m; surface area 600 ha), which was constructed 1962-1966 for flood protection for the downstream reaches of the river “Helme” and came into operation 1969. It is also used for irrigation and recreational purposes. Until the beginning of the 1990s, the production of carp was also initiated and played an important role (Ziemann 1986). Immediately after commissioning, the reservoir became an important resting place for diverse migrating birds (Görner et al. 1983; Scheuer 2003). In the last 30 years, cranes, during their migration from Scandinavia to Africa, occurred in high numbers (up to 10,000 individuals; Höpfner 2003; Scheuer et al. 2019) so that bird protection measures became a vital component of the reservoir management. During winter, the reservoir is emptied to have its full capacity for flood protection. The highest floods occur in river “Helme” typically from December through March (LHW 2016). Kelbra Reservoir has been highly eutrophic from the very beginning (Ziemann 1986) until now although waste water treatment was improved and carp production was stopped in the 1990s. Still, external and internal phosphorus loading is at a high level. Due to very high total phosphorous concentrations cyanobacterial blooms appear regularly in summer time and the trophic state can be characterized to be hypertrophic. This publication series includes datasets collected on Kelbra Reservoir during the Inland Water Remote Sensing Validation Campaign 2017 (Bumberger et al. 2023).
    Type: Dataset
    Format: application/zip, 11 datasets
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