TY  - JOUR
A1  - Heistermann, Maik
A1  - Bogena, Heye
A1  - Francke, Till
A1  - Güntner, Andreas
A1  - Jakobi, Jannis
A1  - Rasche, Daniel
A1  - Schrön, Martin
A1  - Döpper, Veronika
A1  - Fersch, Benjamin
A1  - Groh, Jannis
A1  - Patil, Amol
A1  - Pütz, Thomas
A1  - Reich, Marvin
A1  - Zacharias, Steffen
A1  - Zengerle, Carmen
A1  - Oswald, Sascha
T1  - Soil moisture observation in a forested headwater catchment: combining a dense cosmic-ray neutron sensor network with roving and hydrogravimetry at the TERENO site Wüstebach
JF  - Earth system science data : ESSD
N2  - Cosmic-ray neutron sensing (CRNS) has become an effective method to measure soil moisture at a horizontal scale of hundreds of metres and a depth of decimetres. Recent studies proposed operating CRNS in a network with overlapping footprints in order to cover root-zone water dynamics at the small catchment scale and, at the same time, to represent spatial heterogeneity. In a joint field campaign from September to November 2020 (JFC-2020), five German research institutions deployed 15 CRNS sensors in the 0.4 km2 Wüstebach catchment (Eifel mountains, Germany). The catchment is dominantly forested (but includes a substantial fraction of open vegetation) and features a topographically distinct catchment boundary. In addition to the dense CRNS coverage, the campaign featured a unique combination of additional instruments and techniques: hydro-gravimetry (to detect water storage dynamics also below the root zone); ground-based and, for the first time, airborne CRNS roving; an extensive wireless soil sensor network, supplemented by manual measurements; and six weighable lysimeters. Together with comprehensive data from the long-term local research infrastructure, the published data set (available at https://doi.org/10.23728/b2share.756ca0485800474e9dc7f5949c63b872; Heistermann et al., 2022) will be a valuable asset in various research contexts: to advance the retrieval of landscape water storage from CRNS, wireless soil sensor networks, or hydrogravimetry; to identify scale-specific combinations of sensors and methods to represent soil moisture variability; to improve the understanding and simulation of land–atmosphere exchange as well as hydrological and hydrogeological processes at the hillslope and the catchment scale; and to support the retrieval of soil water content from airborne and spaceborne remote sensing platforms.
Y1  - 2022
U6  - https://doi.org/10.5194/essd-14-2501-2022
SN  - 1866-3516
SN  - 1866-3508
VL  - 14
IS  - 5
SP  - 2501
EP  - 2519
PB  - Copernicus
CY  - Katlenburg-Lindau
ER  - 
TY  - GEN
A1  - Stolterfoht, Martin
A1  - Grischek, Max
A1  - Caprioglio, Pietro
A1  - Wolff, Christian Michael
A1  - Gutierrez-Partida, Emilio
A1  - Peña-Camargo, Francisco
A1  - Rothhardt, Daniel
A1  - Zhang, Shanshan
A1  - Raoufi, Meysam
A1  - Wolansky, Jakob
A1  - Abdi-Jalebi, Mojtaba
A1  - Stranks, Samuel D.
A1  - Albrecht, Steve
A1  - Kirchartz, Thomas
A1  - Neher, Dieter
T1  - How to quantify the efficiency potential of neat perovskite films
BT  - Perovskite semiconductors with an implied efficiency exceeding 28%
T2  - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe
N2  - Perovskite photovoltaic (PV) cells have demonstrated power conversion efficiencies (PCE) that are close to those of monocrystalline silicon cells; however, in contrast to silicon PV, perovskites are not limited by Auger recombination under 1-sun illumination. Nevertheless, compared to GaAs and monocrystalline silicon PV, perovskite cells have significantly lower fill factors due to a combination of resistive and non-radiative recombination losses. This necessitates a deeper understanding of the underlying loss mechanisms and in particular the ideality factor of the cell. By measuring the intensity dependence of the external open-circuit voltage and the internal quasi-Fermi level splitting (QFLS), the transport resistance-free efficiency of the complete cell as well as the efficiency potential of any neat perovskite film with or without attached transport layers are quantified. Moreover, intensity-dependent QFLS measurements on different perovskite compositions allows for disentangling of the impact of the interfaces and the perovskite surface on the non-radiative fill factor and open-circuit voltage loss. It is found that potassium-passivated triple cation perovskite films stand out by their exceptionally high implied PCEs > 28%, which could be achieved with ideal transport layers. Finally, strategies are presented to reduce both the ideality factor and transport losses to push the efficiency to the thermodynamic limit.
T3  - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe - 1434 
KW  - non-radiative interface recombination
KW  - perovskite solar cells
KW  - photoluminescence
Y1  - 2020
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-516622
SN  - 1866-8372
IS  - 17
ER  - 
TY  - JOUR
A1  - Stolterfoht, Martin
A1  - Grischek, Max
A1  - Caprioglio, Pietro
A1  - Wolff, Christian Michael
A1  - Gutierrez-Partida, Emilio
A1  - Peña-Camargo, Francisco
A1  - Rothhardt, Daniel
A1  - Zhang, Shanshan
A1  - Raoufi, Meysam
A1  - Wolansky, Jakob
A1  - Abdi-Jalebi, Mojtaba
A1  - Stranks, Samuel D.
A1  - Albrecht, Steve
A1  - Kirchartz, Thomas
A1  - Neher, Dieter
T1  - How to quantify the efficiency potential of neat perovskite films
BT  - Perovskite semiconductors with an implied efficiency exceeding 28%
JF  - Advanced Materials
N2  - Perovskite photovoltaic (PV) cells have demonstrated power conversion efficiencies (PCE) that are close to those of monocrystalline silicon cells; however, in contrast to silicon PV, perovskites are not limited by Auger recombination under 1-sun illumination. Nevertheless, compared to GaAs and monocrystalline silicon PV, perovskite cells have significantly lower fill factors due to a combination of resistive and non-radiative recombination losses. This necessitates a deeper understanding of the underlying loss mechanisms and in particular the ideality factor of the cell. By measuring the intensity dependence of the external open-circuit voltage and the internal quasi-Fermi level splitting (QFLS), the transport resistance-free efficiency of the complete cell as well as the efficiency potential of any neat perovskite film with or without attached transport layers are quantified. Moreover, intensity-dependent QFLS measurements on different perovskite compositions allows for disentangling of the impact of the interfaces and the perovskite surface on the non-radiative fill factor and open-circuit voltage loss. It is found that potassium-passivated triple cation perovskite films stand out by their exceptionally high implied PCEs > 28%, which could be achieved with ideal transport layers. Finally, strategies are presented to reduce both the ideality factor and transport losses to push the efficiency to the thermodynamic limit.
KW  - non-radiative interface recombination
KW  - perovskite solar cells
KW  - photoluminescence
Y1  - 2020
U6  - https://doi.org/10.1002/adma.202000080
SN  - 0935-9648
SN  - 1521-4095
VL  - 32
IS  - 17
SP  - 1
EP  - 10
PB  - Wiley-VCH
CY  - Weinheim
ER  - 
TY  - JOUR
A1  - Lewkowicz, Daniel
A1  - Böttinger, Erwin
A1  - Siegel, Martin
T1  - Economic evaluation of digital therapeutic care apps for unsupervised treatment of low back pain
BT  - Monte Carlo Simulation
JF  - JMIR mhealth and uhealth
N2  - Background: 
Digital therapeutic care (DTC) programs are unsupervised app-based treatments that provide video exercises and educational material to patients with nonspecific low back pain during episodes of pain and functional disability. German statutory health insurance can reimburse DTC programs since 2019, but evidence on efficacy and reasonable pricing remains scarce. This paper presents a probabilistic sensitivity analysis (PSA) to evaluate the efficacy and cost-utility of a DTC app against treatment as usual (TAU) in Germany. 

Objective: 
The aim of this study was to perform a PSA in the form of a Monte Carlo simulation based on the deterministic base case analysis to account for model assumptions and parameter uncertainty. We also intend to explore to what extent the results in this probabilistic analysis differ from the results in the base case analysis and to what extent a shortage of outcome data concerning quality-of-life (QoL) metrics impacts the overall results. 

Methods: 
The PSA builds upon a state-transition Markov chain with a 4-week cycle length over a model time horizon of 3 years from a recently published deterministic cost-utility analysis. A Monte Carlo simulation with 10,000 iterations and a cohort size of 10,000 was employed to evaluate the cost-utility from a societal perspective. Quality-adjusted life years (QALYs) were derived from Veterans RAND 6-Dimension (VR-6D) and Short-Form 6-Dimension (SF-6D) single utility scores. Finally, we also simulated reducing the price for a 3-month app prescription to analyze at which price threshold DTC would result in being the dominant strategy over TAU in Germany. 

Results: 
The Monte Carlo simulation yielded on average a euro135.97 (a currency exchange rate of EUR euro1=US $1.069 is applicable) incremental cost and 0.004 incremental QALYs per person and year for the unsupervised DTC app strategy compared to in-person physiotherapy in Germany. The corresponding incremental cost-utility ratio (ICUR) amounts to an additional euro34,315.19 per additional QALY. DTC yielded more QALYs in 54.96% of the iterations. DTC dominates TAU in 24.04% of the iterations for QALYs. Reducing the app price in the simulation from currently euro239.96 to euro164.61 for a 3-month prescription could yield a negative ICUR and thus make DTC the dominant strategy, even though the estimated probability of DTC being more effective than TAU is only 54.96%.

Conclusions:
Decision-makers should be cautious when considering the reimbursement of DTC apps since no significant treatment effect was found, and the probability of cost-effectiveness remains below 60% even for an infinite willingness-to-pay threshold. More app-based studies involving the utilization of QoL outcome parameters are urgently needed to account for the low and limited precision of the available QoL input parameters, which are crucial to making profound recommendations concerning the cost-utility of novel apps.
KW  - cost-utility analysis
KW  - cost
KW  - probabilistic sensitivity analysis
KW  - Monte Carlo simulation
KW  - low back pain
KW  - pain
KW  - economic
KW  - cost-effectiveness
KW  - Markov model
KW  - digital therapy
KW  - digital health app
KW  - mHealth
KW  - mobile health
KW  - health app
KW  - mobile app
KW  - orthopedic
KW  - QUALY
KW  - DALY
KW  - quality-adjusted life years
KW  - disability-adjusted life years
KW  - time horizon
KW  - veteran
KW  - statistics
Y1  - 2023
U6  - https://doi.org/10.2196/44585
SN  - 2291-5222
VL  - 11
PB  - JMIR Publications
CY  - Toronto
ER  - 
TY  - JOUR
A1  - Actis, M.
A1  - Agnetta, G.
A1  - Aharonian, Felix A.
A1  - Akhperjanian, A. G.
A1  - Aleksic, J.
A1  - Aliu, E.
A1  - Allan, D.
A1  - Allekotte, I.
A1  - Antico, F.
A1  - Antonelli, L. A.
A1  - Antoranz, P.
A1  - Aravantinos, A.
A1  - Arlen, T.
A1  - Arnaldi, H.
A1  - Artmann, S.
A1  - Asano, K.
A1  - Asorey, H. G.
A1  - Baehr, J.
A1  - Bais, A.
A1  - Baixeras, C.
A1  - Bajtlik, S.
A1  - Balis, D.
A1  - Bamba, A.
A1  - Barbier, C.
A1  - Barcelo, M.
A1  - Barnacka, Anna
A1  - Barnstedt, Jürgen
A1  - de Almeida, U. Barres
A1  - Barrio, J. A.
A1  - Basso, S.
A1  - Bastieri, D.
A1  - Bauer, C.
A1  - Becerra Gonzalez, J.
A1  - Becherini, Yvonne
A1  - Bechtol, K. C.
A1  - Becker, J.
A1  - Beckmann, Volker
A1  - Bednarek, W.
A1  - Behera, B.
A1  - Beilicke, M.
A1  - Belluso, M.
A1  - Benallou, M.
A1  - Benbow, W.
A1  - Berdugo, J.
A1  - Berger, K.
A1  - Bernardino, T.
A1  - Bernlöhr, K.
A1  - Biland, A.
A1  - Billotta, S.
A1  - Bird, T.
A1  - Birsin, E.
A1  - Bissaldi, E.
A1  - Blake, S.
A1  - Blanch Bigas, O.
A1  - Bobkov, A. A.
A1  - Bogacz, L.
A1  - Bogdan, M.
A1  - Boisson, Catherine
A1  - Boix Gargallo, J.
A1  - Bolmont, J.
A1  - Bonanno, G.
A1  - Bonardi, A.
A1  - Bonev, T.
A1  - Borkowski, Janett
A1  - Botner, O.
A1  - Bottani, A.
A1  - Bourgeat, M.
A1  - Boutonnet, C.
A1  - Bouvier, A.
A1  - Brau-Nogue, S.
A1  - Braun, I.
A1  - Bretz, T.
A1  - Briggs, M. S.
A1  - Brun, Pierre
A1  - Brunetti, L.
A1  - Buckley, H.
A1  - Bugaev, V.
A1  - Buehler, R.
A1  - Bulik, Tomasz
A1  - Busetto, G.
A1  - Buson, S.
A1  - Byrum, K.
A1  - Cailles, M.
A1  - Cameron, R. A.
A1  - Canestrari, R.
A1  - Cantu, S.
A1  - Carmona, E.
A1  - Carosi, A.
A1  - Carr, John
A1  - Carton, P. H.
A1  - Casiraghi, M.
A1  - Castarede, H.
A1  - Catalano, O.
A1  - Cavazzani, S.
A1  - Cazaux, S.
A1  - Cerruti, B.
A1  - Cerruti, M.
A1  - Chadwick, M.
A1  - Chiang, J.
A1  - Chikawa, M.
A1  - Cieslar, M.
A1  - Ciesielska, M.
A1  - Cillis, A. N.
A1  - Clerc, C.
A1  - Colin, P.
A1  - Colome, J.
A1  - Compin, M.
A1  - Conconi, P.
A1  - Connaughton, V.
A1  - Conrad, Jan
A1  - Contreras, J. L.
A1  - Coppi, P.
A1  - Corlier, M.
A1  - Corona, P.
A1  - Corpace, O.
A1  - Corti, D.
A1  - Cortina, J.
A1  - Costantini, H.
A1  - Cotter, G.
A1  - Courty, B.
A1  - Couturier, S.
A1  - Covino, S.
A1  - Croston, J.
A1  - Cusumano, G.
A1  - Daniel, M. K.
A1  - Dazzi, F.
A1  - Deangelis, A.
A1  - de Cea del Pozo, E.
A1  - Dal Pino, E. M. de Gouveia
A1  - de Jager, O.
A1  - de la Calle Perez, I.
A1  - De La Vega, G.
A1  - De Lotto, B.
A1  - de Naurois, M.
A1  - Wilhelmi, E. de Ona
A1  - de Souza, V.
A1  - Decerprit, B.
A1  - Deil, C.
A1  - Delagnes, E.
A1  - Deleglise, G.
A1  - Delgado, C.
A1  - Dettlaff, T.
A1  - Di Paolo, A.
A1  - Di Pierro, F.
A1  - Diaz, C.
A1  - Dick, J.
A1  - Dickinson, H.
A1  - Digel, S. W.
A1  - Dimitrov, D.
A1  - Disset, G.
A1  - Djannati-Ataï, A.
A1  - Doert, M.
A1  - Domainko, W.
A1  - Dorner, D.
A1  - Doro, M.
A1  - Dournaux, J. -L.
A1  - Dravins, D.
A1  - Drury, L.
A1  - Dubois, F.
A1  - Dubois, R.
A1  - Dubus, G.
A1  - Dufour, C.
A1  - Durand, D.
A1  - Dyks, J.
A1  - Dyrda, M.
A1  - Edy, E.
A1  - Egberts, Kathrin
A1  - Eleftheriadis, C.
A1  - Elles, S.
A1  - Emmanoulopoulos, D.
A1  - Enomoto, R.
A1  - Ernenwein, J. -P.
A1  - Errando, M.
A1  - Etchegoyen, A.
A1  - Falcone, A. D.
A1  - Farakos, K.
A1  - Farnier, C.
A1  - Federici, S.
A1  - Feinstein, F.
A1  - Ferenc, D.
A1  - Fillin-Martino, E.
A1  - Fink, D.
A1  - Finley, C.
A1  - Finley, J. P.
A1  - Firpo, R.
A1  - Florin, D.
A1  - Foehr, C.
A1  - Fokitis, E.
A1  - Font, Ll.
A1  - Fontaine, G.
A1  - Fontana, A.
A1  - Foerster, A.
A1  - Fortson, L.
A1  - Fouque, N.
A1  - Fransson, C.
A1  - Fraser, G. W.
A1  - Fresnillo, L.
A1  - Fruck, C.
A1  - Fujita, Y.
A1  - Fukazawa, Y.
A1  - Funk, S.
A1  - Gaebele, W.
A1  - Gabici, S.
A1  - Gadola, A.
A1  - Galante, N.
A1  - Gallant, Y.
A1  - Garcia, B.
A1  - Garcia Lopez, R. J.
A1  - Garrido, D.
A1  - Garrido, L.
A1  - Gascon, D.
A1  - Gasq, C.
A1  - Gaug, M.
A1  - Gaweda, J.
A1  - Geffroy, N.
A1  - Ghag, C.
A1  - Ghedina, A.
A1  - Ghigo, M.
A1  - Gianakaki, E.
A1  - Giarrusso, S.
A1  - Giavitto, G.
A1  - Giebels, B.
A1  - Giro, E.
A1  - Giubilato, P.
A1  - Glanzman, T.
A1  - Glicenstein, J. -F.
A1  - Gochna, M.
A1  - Golev, V.
A1  - Gomez Berisso, M.
A1  - Gonzalez, A.
A1  - Gonzalez, F.
A1  - Granena, F.
A1  - Graciani, R.
A1  - Granot, J.
A1  - Gredig, R.
A1  - Green, A.
A1  - Greenshaw, T.
A1  - Grimm, O.
A1  - Grube, J.
A1  - Grudzinska, M.
A1  - Grygorczuk, J.
A1  - Guarino, V.
A1  - Guglielmi, L.
A1  - Guilloux, F.
A1  - Gunji, S.
A1  - Gyuk, G.
A1  - Hadasch, D.
A1  - Haefner, D.
A1  - Hagiwara, R.
A1  - Hahn, J.
A1  - Hallgren, A.
A1  - Hara, S.
A1  - Hardcastle, M. J.
A1  - Hassan, T.
A1  - Haubold, T.
A1  - Hauser, M.
A1  - Hayashida, M.
A1  - Heller, R.
A1  - Henri, G.
A1  - Hermann, G.
A1  - Herrero, A.
A1  - Hinton, James Anthony
A1  - Hoffmann, D.
A1  - Hofmann, W.
A1  - Hofverberg, P.
A1  - Horns, D.
A1  - Hrupec, D.
A1  - Huan, H.
A1  - Huber, B.
A1  - Huet, J. -M.
A1  - Hughes, G.
A1  - Hultquist, K.
A1  - Humensky, T. B.
A1  - Huppert, J. -F.
A1  - Ibarra, A.
A1  - Illa, J. M.
A1  - Ingjald, J.
A1  - Inoue, S.
A1  - Inoue, Y.
A1  - Ioka, K.
A1  - Jablonski, C.
A1  - Jacholkowska, A.
A1  - Janiak, M.
A1  - Jean, P.
A1  - Jensen, H.
A1  - Jogler, T.
A1  - Jung, I.
A1  - Kaaret, P.
A1  - Kabuki, S.
A1  - Kakuwa, J.
A1  - Kalkuhl, C.
A1  - Kankanyan, R.
A1  - Kapala, M.
A1  - Karastergiou, A.
A1  - Karczewski, M.
A1  - Karkar, S.
A1  - Karlsson, N.
A1  - Kasperek, J.
A1  - Katagiri, H.
A1  - Katarzynski, K.
A1  - Kawanaka, N.
A1  - Kedziora, B.
A1  - Kendziorra, E.
A1  - Khelifi, B.
A1  - Kieda, D.
A1  - Kifune, T.
A1  - Kihm, T.
A1  - Klepser, S.
A1  - Kluzniak, W.
A1  - Knapp, J.
A1  - Knappy, A. R.
A1  - Kneiske, T.
A1  - Knoedlseder, J.
A1  - Koeck, F.
A1  - Kodani, K.
A1  - Kohri, K.
A1  - Kokkotas, K.
A1  - Komin, N.
A1  - Konopelko, A.
A1  - Kosack, K.
A1  - Kossakowski, R.
A1  - Kostka, P.
A1  - Kotula, J.
A1  - Kowal, G.
A1  - Koziol, J.
A1  - Kraehenbuehl, T.
A1  - Krause, J.
A1  - Krawczynski, H.
A1  - Krennrich, F.
A1  - Kretzschmann, A.
A1  - Kubo, H.
A1  - Kudryavtsev, V. A.
A1  - Kushida, J.
A1  - La Barbera, N.
A1  - La Parola, V.
A1  - La Rosa, G.
A1  - Lopez, A.
A1  - Lamanna, G.
A1  - Laporte, P.
A1  - Lavalley, C.
A1  - Le Flour, T.
A1  - Le Padellec, A.
A1  - Lenain, J. -P.
A1  - Lessio, L.
A1  - Lieunard, B.
A1  - Lindfors, E.
A1  - Liolios, A.
A1  - Lohse, T.
A1  - Lombardi, S.
A1  - Lopatin, A.
A1  - Lorenz, E.
A1  - Lubinski, P.
A1  - Luz, O.
A1  - Lyard, E.
A1  - Maccarone, M. C.
A1  - Maccarone, T.
A1  - Maier, G.
A1  - Majumdar, P.
A1  - Maltezos, S.
A1  - Malkiewicz, P.
A1  - Mana, C.
A1  - Manalaysay, A.
A1  - Maneva, G.
A1  - Mangano, A.
A1  - Manigot, P.
A1  - Marin, J.
A1  - Mariotti, M.
A1  - Markoff, S.
A1  - Martinez, G.
A1  - Martinez, M.
A1  - Mastichiadis, A.
A1  - Matsumoto, H.
A1  - Mattiazzo, S.
A1  - Mazin, D.
A1  - McComb, T. J. L.
A1  - McCubbin, N.
A1  - McHardy, I.
A1  - Medina, C.
A1  - Melkumyan, D.
A1  - Mendes, A.
A1  - Mertsch, P.
A1  - Meucci, M.
A1  - Michalowski, J.
A1  - Micolon, P.
A1  - Mineo, T.
A1  - Mirabal, N.
A1  - Mirabel, F.
A1  - Miranda, J. M.
A1  - Mirzoyan, R.
A1  - Mizuno, T.
A1  - Moal, B.
A1  - Moderski, R.
A1  - Molinari, E.
A1  - Monteiro, I.
A1  - Moralejo, A.
A1  - Morello, C.
A1  - Mori, K.
A1  - Motta, G.
A1  - Mottez, F.
A1  - Moulin, Emmanuel
A1  - Mukherjee, R.
A1  - Munar, P.
A1  - Muraishi, H.
A1  - Murase, K.
A1  - Murphy, A. Stj.
A1  - Nagataki, S.
A1  - Naito, T.
A1  - Nakamori, T.
A1  - Nakayama, K.
A1  - Naumann, C. L.
A1  - Naumann, D.
A1  - Nayman, P.
A1  - Nedbal, D.
A1  - Niedzwiecki, A.
A1  - Niemiec, J.
A1  - Nikolaidis, A.
A1  - Nishijima, K.
A1  - Nolan, S. J.
A1  - Nowak, N.
A1  - O'Brien, P. T.
A1  - Ochoa, I.
A1  - Ohira, Y.
A1  - Ohishi, M.
A1  - Ohka, H.
A1  - Okumura, A.
A1  - Olivetto, C.
A1  - Ong, R. A.
A1  - Orito, R.
A1  - Orr, M.
A1  - Osborne, J. P.
A1  - Ostrowski, M.
A1  - Otero, L.
A1  - Otte, A. N.
A1  - Ovcharov, E.
A1  - Oya, I.
A1  - Ozieblo, A.
A1  - Paiano, S.
A1  - Pallota, J.
A1  - Panazol, J. L.
A1  - Paneque, D.
A1  - Panter, M.
A1  - Paoletti, R.
A1  - Papyan, G.
A1  - Paredes, J. M.
A1  - Pareschi, G.
A1  - Parsons, R. D.
A1  - Arribas, M. Paz
A1  - Pedaletti, G.
A1  - Pepato, A.
A1  - Persic, M.
A1  - Petrucci, P. O.
A1  - Peyaud, B.
A1  - Piechocki, W.
A1  - Pita, S.
A1  - Pivato, G.
A1  - Platos, L.
A1  - Platzer, R.
A1  - Pogosyan, L.
A1  - Pohl, Martin
A1  - Pojmanski, G.
A1  - Ponz, J. D.
A1  - Potter, W.
A1  - Prandini, E.
A1  - Preece, R.
A1  - Prokoph, H.
A1  - Puehlhofer, G.
A1  - Punch, M.
A1  - Quel, E.
A1  - Quirrenbach, A.
A1  - Rajda, P.
A1  - Rando, R.
A1  - Rataj, M.
A1  - Raue, M.
A1  - Reimann, C.
A1  - Reimann, O.
A1  - Reimer, A.
A1  - Reimer, O.
A1  - Renaud, M.
A1  - Renner, S.
A1  - Reymond, J. -M.
A1  - Rhode, W.
A1  - Ribo, M.
A1  - Ribordy, M.
A1  - Rico, J.
A1  - Rieger, F.
A1  - Ringegni, P.
A1  - Ripken, J.
A1  - Ristori, P.
A1  - Rivoire, S.
A1  - Rob, L.
A1  - Rodriguez, S.
A1  - Roeser, U.
A1  - Romano, Patrizia
A1  - Romero, G. E.
A1  - Rosier-Lees, S.
A1  - Rovero, A. C.
A1  - Roy, F.
A1  - Royer, S.
A1  - Rudak, B.
A1  - Rulten, C. B.
A1  - Ruppel, J.
A1  - Russo, F.
A1  - Ryde, F.
A1  - Sacco, B.
A1  - Saggion, A.
A1  - Sahakian, V.
A1  - Saito, K.
A1  - Saito, T.
A1  - Sakaki, N.
A1  - Salazar, E.
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A1  - Santangelo, Andrea
A1  - Santos, E. M.
A1  - Sanuy, A.
A1  - Sapozhnikov, L.
A1  - Sarkar, S.
A1  - Scalzotto, V.
A1  - Scapin, V.
A1  - Scarcioffolo, M.
A1  - Schanz, T.
A1  - Schlenstedt, S.
A1  - Schlickeiser, R.
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A1  - Shayduk, M.
A1  - Shellard, R. C.
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A1  - Sillanpaa, A.
A1  - Sitarek, J.
A1  - Skole, C.
A1  - Smith, N.
A1  - Sobczynska, D.
A1  - Sofo Haro, M.
A1  - Sol, H.
A1  - Spanier, F.
A1  - Spiga, D.
A1  - Spyrou, S.
A1  - Stamatescu, V.
A1  - Stamerra, A.
A1  - Starling, R. L. C.
A1  - Stawarz, L.
A1  - Steenkamp, R.
A1  - Stegmann, Christian
A1  - Steiner, S.
A1  - Stergioulas, N.
A1  - Sternberger, R.
A1  - Stinzing, F.
A1  - Stodulski, M.
A1  - Straumann, U.
A1  - Suarez, A.
A1  - Suchenek, M.
A1  - Sugawara, R.
A1  - Sulanke, K. H.
A1  - Sun, S.
A1  - Supanitsky, A. D.
A1  - Sutcliffe, P.
A1  - Szanecki, M.
A1  - Szepieniec, T.
A1  - Szostek, A.
A1  - Szymkowiak, A.
A1  - Tagliaferri, G.
A1  - Tajima, H.
A1  - Takahashi, H.
A1  - Takahashi, K.
A1  - Takalo, L.
A1  - Takami, H.
A1  - Talbot, R. G.
A1  - Tam, P. H.
A1  - Tanaka, M.
A1  - Tanimori, T.
A1  - Tavani, M.
A1  - Tavernet, J. -P.
A1  - Tchernin, C.
A1  - Tejedor, L. A.
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A1  - Temnikov, P.
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A1  - Zagdanski, A.
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T1  - Design concepts for the Cherenkov Telescope Array CTA an advanced facility for ground-based high-energy gamma-ray astronomy
JF  - Experimental astronomy : an international journal on astronomical instrumentation and data analysis
N2  - Ground-based gamma-ray astronomy has had a major breakthrough with the impressive results obtained using systems of imaging atmospheric Cherenkov telescopes. Ground-based gamma-ray astronomy has a huge potential in astrophysics, particle physics and cosmology. CTA is an international initiative to build the next generation instrument, with a factor of 5-10 improvement in sensitivity in the 100 GeV-10 TeV range and the extension to energies well below 100 GeV and above 100 TeV. CTA will consist of two arrays (one in the north, one in the south) for full sky coverage and will be operated as open observatory. The design of CTA is based on currently available technology. This document reports on the status and presents the major design concepts of CTA.
KW  - Ground based gamma ray astronomy
KW  - Next generation Cherenkov telescopes
KW  - Design concepts
Y1  - 2011
U6  - https://doi.org/10.1007/s10686-011-9247-0
SN  - 0922-6435
SN  - 1572-9508
VL  - 32
IS  - 3
SP  - 193
EP  - 316
PB  - Springer
CY  - Dordrecht
ER  - 
TY  - JOUR
A1  - Heistermann, Maik
A1  - Francke, Till
A1  - Scheiffele, Lena
A1  - Petrova, Katya Dimitrova
A1  - Budach, Christian
A1  - Schrön, Martin
A1  - Trost, Benjamin
A1  - Rasche, Daniel
A1  - Güntner, Andreas
A1  - Doepper, Veronika
A1  - Förster, Michael
A1  - Köhli, Markus
A1  - Angermann, Lisa
A1  - Antonoglou, Nikolaos
A1  - Zude, Manuela
A1  - Oswald, Sascha
T1  - Three years of soil moisture observations by a dense cosmic-ray neutron sensing cluster at an agricultural research site in north-east Germany
JF  - Earth system science data : ESSD
N2  - Cosmic-ray neutron sensing (CRNS) allows for the estimation of root-zone soil water content (SWC) at the scale of several hectares. In this paper, we present the data recorded by a dense CRNS network operated from 2019 to 2022 at an agricultural research site in Marquardt, Germany - the first multi-year CRNS cluster. Consisting, at its core, of eight permanently installed CRNS sensors, the cluster was supplemented by a wealth of complementary measurements: data from seven additional temporary CRNS sensors, partly co-located with the permanent ones; 27 SWC profiles (mostly permanent); two groundwater observation wells; meteorological records; and Global Navigation Satellite System reflectometry (GNSS-R). Complementary to these continuous measurements, numerous campaign-based activities provided data by mobile CRNS roving, hyperspectral im-agery via UASs, intensive manual sampling of soil properties (SWC, bulk density, organic matter, texture, soil hydraulic properties), and observations of biomass and snow (cover, depth, and density). The unique temporal coverage of 3 years entails a broad spectrum of hydro-meteorological conditions, including exceptional drought periods and extreme rainfall but also episodes of snow coverage, as well as a dedicated irrigation experiment. Apart from serving to advance CRNS-related retrieval methods, this data set is expected to be useful for vari-ous disciplines, for example, soil and groundwater hydrology, agriculture, or remote sensing. Hence, we show exemplary features of the data set in order to highlight the potential for such subsequent studies. The data are available at doi.org/10.23728/b2share.551095325d74431881185fba1eb09c95 (Heistermann et al., 2022b).
Y1  - 2023
U6  - https://doi.org/10.5194/essd-15-3243-2023
SN  - 1866-3508
SN  - 1866-3516
VL  - 15
IS  - 7
SP  - 3243
EP  - 3262
PB  - Copernics Publications
CY  - Katlenburg-Lindau
ER  - 
TY  - JOUR
A1  - Abramowski, Attila
A1  - Acero, F.
A1  - Aharonian, Felix A.
A1  - Akhperjanian, A. G.
A1  - Anton, Gisela
A1  - Balzer, Arnim
A1  - Barnacka, Anna
A1  - de Almeida, U. Barres
A1  - Becherini, Yvonne
A1  - Becker, J.
A1  - Behera, B.
A1  - Bernlöhr, K.
A1  - Birsin, E.
A1  - Biteau, Jonathan
A1  - Bochow, A.
A1  - Boisson, Catherine
A1  - Bolmont, J.
A1  - Bordas, Pol
A1  - Brucker, J.
A1  - Brun, Francois
A1  - Brun, Pierre
A1  - Bulik, Tomasz
A1  - Buesching, I.
A1  - Carrigan, Svenja
A1  - Casanova, Sabrina
A1  - Cerruti, M.
A1  - Chadwick, Paula M.
A1  - Charbonnier, A.
A1  - Chaves, Ryan C. G.
A1  - Cheesebrough, A.
A1  - Clapson, A. C.
A1  - Coignet, G.
A1  - Cologna, Gabriele
A1  - Conrad, Jan
A1  - Dalton, M.
A1  - Daniel, M. K.
A1  - Davids, I. D.
A1  - Degrange, B.
A1  - Deil, C.
A1  - Dickinson, H. J.
A1  - Djannati-Ataï, A.
A1  - Domainko, W.
A1  - Drury, L. O'C.
A1  - Dubus, G.
A1  - Dutson, K.
A1  - Dyks, J.
A1  - Dyrda, M.
A1  - Egberts, Kathrin
A1  - Eger, P.
A1  - Espigat, P.
A1  - Fallon, L.
A1  - Farnier, C.
A1  - Fegan, S.
A1  - Feinstein, F.
A1  - Fernandes, M. V.
A1  - Fiasson, A.
A1  - Fontaine, G.
A1  - Foerster, A.
A1  - Fuessling, M.
A1  - Gallant, Y. A.
A1  - Gast, H.
A1  - Gerard, L.
A1  - Gerbig, D.
A1  - Giebels, B.
A1  - Glicenstein, J. F.
A1  - Glueck, B.
A1  - Goret, P.
A1  - Goering, D.
A1  - Haeffner, S.
A1  - Hague, J. D.
A1  - Hampf, D.
A1  - Hauser, M.
A1  - Heinz, S.
A1  - Heinzelmann, G.
A1  - Henri, G.
A1  - Hermann, G.
A1  - Hinton, James Anthony
A1  - Hoffmann, A.
A1  - Hofmann, W.
A1  - Hofverberg, P.
A1  - Holler, M.
A1  - Horns, D.
A1  - Jacholkowska, A.
A1  - de Jager, O. C.
A1  - Jahn, C.
A1  - Jamrozy, M.
A1  - Jung, I.
A1  - Kastendieck, M. A.
A1  - Katarzynski, K.
A1  - Katz, U.
A1  - Kaufmann, S.
A1  - Keogh, D.
A1  - Khangulyan, D.
A1  - Khelifi, B.
A1  - Klochkov, D.
A1  - Kluzniak, W.
A1  - Kneiske, T.
A1  - Komin, Nu.
A1  - Kosack, K.
A1  - Kossakowski, R.
A1  - Laffon, H.
A1  - Lamanna, G.
A1  - Lennarz, D.
A1  - Lohse, T.
A1  - Lopatin, A.
A1  - Lu, C. -C.
A1  - Marandon, V.
A1  - Marcowith, Alexandre
A1  - Masbou, J.
A1  - Maurin, D.
A1  - Maxted, N.
A1  - Mayer, M.
A1  - McComb, T. J. L.
A1  - Medina, M. C.
A1  - Mehault, J.
A1  - Moderski, R.
A1  - Moulin, Emmanuel
A1  - Naumann, C. L.
A1  - Naumann-Godo, M.
A1  - de Naurois, M.
A1  - Nedbal, D.
A1  - Nekrassov, D.
A1  - Nguyen, N.
A1  - Nicholas, B.
A1  - Niemiec, J.
A1  - Nolan, S. J.
A1  - Ohm, S.
A1  - Wilhelmi, E. de Ona
A1  - Opitz, B.
A1  - Ostrowski, M.
A1  - Oya, I.
A1  - Panter, M.
A1  - Arribas, M. Paz
A1  - Pedaletti, G.
A1  - Pelletier, G.
A1  - Petrucci, P. -O.
A1  - Pita, S.
A1  - Puehlhofer, G.
A1  - Punch, M.
A1  - Quirrenbach, A.
A1  - Raue, M.
A1  - Rayner, S. M.
A1  - Reimer, A.
A1  - Reimer, O.
A1  - Renaud, M.
A1  - de los Reyes, R.
A1  - Rieger, F.
A1  - Ripken, J.
A1  - Rob, L.
A1  - Rosier-Lees, S.
A1  - Rowell, G.
A1  - Rudak, B.
A1  - Rulten, C. B.
A1  - Ruppel, J.
A1  - Sahakian, V.
A1  - Sanchez, David M.
A1  - Santangelo, Andrea
A1  - Schlickeiser, R.
A1  - Schoeck, F. M.
A1  - Schulz, A.
A1  - Schwanke, U.
A1  - Schwarzburg, S.
A1  - Schwemmer, S.
A1  - Sheidaei, F.
A1  - Skilton, J. L.
A1  - Sol, H.
A1  - Spengler, G.
A1  - Stawarz, L.
A1  - Steenkamp, R.
A1  - Stegmann, Christian
A1  - Stinzing, F.
A1  - Stycz, K.
A1  - Sushch, Iurii
A1  - Szostek, A.
A1  - Tavernet, J. -P.
A1  - Terrier, R.
A1  - Tluczykont, M.
A1  - Valerius, K.
A1  - van Eldik, C.
A1  - Vasileiadis, G.
A1  - Venter, C.
A1  - Vialle, J. P.
A1  - Viana, A.
A1  - Vincent, P.
A1  - Voelk, H. J.
A1  - Volpe, F.
A1  - Vorobiov, S.
A1  - Vorster, M.
A1  - Wagner, S. J.
A1  - Ward, M.
A1  - White, R.
A1  - Wierzcholska, A.
A1  - Zacharias, M.
A1  - Zajczyk, A.
A1  - Zdziarski, A. A.
A1  - Zech, Alraune
A1  - Zechlin, H. -S.
A1  - Aleksic, J.
A1  - Antonelli, L. A.
A1  - Antoranz, P.
A1  - Backes, Michael
A1  - Barrio, J. A.
A1  - Bastieri, D.
A1  - Becerra Gonzalez, J.
A1  - Bednarek, W.
A1  - Berdyugin, A.
A1  - Berger, K.
A1  - Bernardini, E.
A1  - Biland, A.
A1  - Blanch Bigas, O.
A1  - Bock, R. K.
A1  - Boller, A.
A1  - Bonnoli, G.
A1  - Tridon, D. Borla
A1  - Braun, I.
A1  - Bretz, T.
A1  - Canellas, A.
A1  - Carmona, E.
A1  - Carosi, A.
A1  - Colin, P.
A1  - Colombo, E.
A1  - Contreras, J. L.
A1  - Cortina, J.
A1  - Cossio, L.
A1  - Covino, S.
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A1  - De Angelis, A.
A1  - De Cea del Pozo, E.
A1  - De Lotto, B.
A1  - Delgado Mendez, C.
A1  - Diago Ortega, A.
A1  - Doert, M.
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A1  - Prester, Dijana Dominis
A1  - Dorner, D.
A1  - Doro, M.
A1  - Elsaesser, D.
A1  - Ferenc, D.
A1  - Fonseca, M. V.
A1  - Font, L.
A1  - Fruck, C.
A1  - Garcia Lopez, R. J.
A1  - Garczarczyk, M.
A1  - Garrido, D.
A1  - Giavitto, G.
A1  - Godinovic, N.
A1  - Hadasch, D.
A1  - Haefner, D.
A1  - Herrero, A.
A1  - Hildebrand, D.
A1  - Hoehne-Moench, D.
A1  - Hose, J.
A1  - Hrupec, D.
A1  - Huber, B.
A1  - Jogler, T.
A1  - Klepser, S.
A1  - Kraehenbuehl, T.
A1  - Krause, J.
A1  - La Barbera, A.
A1  - Lelas, D.
A1  - Leonardo, E.
A1  - Lindfors, E.
A1  - Lombardi, S.
A1  - Lopez, M.
A1  - Lorenz, E.
A1  - Makariev, M.
A1  - Maneva, G.
A1  - Mankuzhiyil, N.
A1  - Mannheim, K.
A1  - Maraschi, L.
A1  - Mariotti, M.
A1  - Martinez, M.
A1  - Mazin, D.
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A1  - Miranda, J. M.
A1  - Mirzoyan, R.
A1  - Miyamoto, H.
A1  - Moldon, J.
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A1  - Nieto, D.
A1  - Nilsson, K.
A1  - Orito, R.
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A1  - Paneque, D.
A1  - Paoletti, R.
A1  - Pardo, S.
A1  - Paredes, J. M.
A1  - Partini, S.
A1  - Pasanen, M.
A1  - Pauss, F.
A1  - Perez-Torres, M. A.
A1  - Persic, M.
A1  - Peruzzo, L.
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A1  - Puljak, I.
A1  - Reichardt, I.
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A1  - Rhode, W.
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A1  - Saggion, A.
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A1  - Salvati, M.
A1  - Satalecka, K.
A1  - Scalzotto, V.
A1  - Scapin, V.
A1  - Schultz, C.
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A1  - Shayduk, M.
A1  - Shore, S. N.
A1  - Sillanpaa, A.
A1  - Sitarek, J.
A1  - Sobczynska, D.
A1  - Spanier, F.
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A1  - Stamerra, A.
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A1  - Tavecchio, F.
A1  - Temnikov, P.
A1  - Terzic, T.
A1  - Tescaro, D.
A1  - Teshima, M.
A1  - Thom, M.
A1  - Tibolla, O.
A1  - Torres, D. F.
A1  - Treves, A.
A1  - Vankov, H.
A1  - Vogler, P.
A1  - Wagner, R. M.
A1  - Weitzel, Q.
A1  - Zabalza, V.
A1  - Zandanel, F.
A1  - Zanin, R.
A1  - Arlen, T.
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A1  - Bugaev, V.
A1  - Byrum, K.
A1  - Cannon, A.
A1  - Cesarini, A.
A1  - Ciupik, L.
A1  - Connolly, M. P.
A1  - Cui, W.
A1  - Dickherber, R.
A1  - Duke, C.
A1  - Errando, M.
A1  - Falcone, A.
A1  - Finley, J. P.
A1  - Finnegan, G.
A1  - Fortson, L.
A1  - Furniss, A.
A1  - Galante, N.
A1  - Gall, D.
A1  - Godambe, S.
A1  - Griffin, S.
A1  - Grube, J.
A1  - Gyuk, G.
A1  - Hanna, D.
A1  - Holder, J.
A1  - Huan, H.
A1  - Hui, C. M.
A1  - Kaaret, P.
A1  - Karlsson, N.
A1  - Kertzman, M.
A1  - Khassen, Y.
A1  - Kieda, D.
A1  - Krawczynski, H.
A1  - Krennrich, F.
A1  - Lang, M. J.
A1  - LeBohec, S.
A1  - Maier, G.
A1  - McArthur, S.
A1  - McCann, A.
A1  - Moriarty, P.
A1  - Mukherjee, R.
A1  - Nunez, P. D.
A1  - Ong, R. A.
A1  - Orr, M.
A1  - Otte, A. N.
A1  - Park, N.
A1  - Perkins, J. S.
A1  - Pichel, A.
A1  - Pohl, Martin
A1  - Prokoph, H.
A1  - Ragan, K.
A1  - Reyes, L. C.
A1  - Reynolds, P. T.
A1  - Roache, E.
A1  - Rose, H. J.
A1  - Ruppel, J.
A1  - Schroedter, M.
A1  - Sembroski, G. H.
A1  - Sentuerk, G. D.
A1  - Telezhinsky, Igor O.
A1  - Tesic, G.
A1  - Theiling, M.
A1  - Thibadeau, S.
A1  - Varlotta, A.
A1  - Vassiliev, V. V.
A1  - Vivier, M.
A1  - Wakely, S. P.
A1  - Weekes, T. C.
A1  - Williams, D. A.
A1  - Zitzer, B.
A1  - de Almeida, U. Barres
A1  - Cara, M.
A1  - Casadio, C.
A1  - Cheung, C. C.
A1  - McConville, W.
A1  - Davies, F.
A1  - Doi, A.
A1  - Giovannini, G.
A1  - Giroletti, M.
A1  - Hada, K.
A1  - Hardee, P.
A1  - Harris, D. E.
A1  - Junor, W.
A1  - Kino, M.
A1  - Lee, N. P.
A1  - Ly, C.
A1  - Madrid, J.
A1  - Massaro, F.
A1  - Mundell, C. G.
A1  - Nagai, H.
A1  - Perlman, E. S.
A1  - Steele, I. A.
A1  - Walker, R. C.
A1  - Wood, D. L.
T1  - The 2010 very high energy gamma-ray flare and 10 years ofmulti-wavelength oservations of M 87
JF  - The astrophysical journal : an international review of spectroscopy and astronomical physics
N2  - The giant radio galaxy M 87 with its proximity (16 Mpc), famous jet, and very massive black hole ((3-6) x 10(9) M-circle dot) provides a unique opportunity to investigate the origin of very high energy (VHE; E > 100 GeV) gamma-ray emission generated in relativistic outflows and the surroundings of supermassive black holes. M 87 has been established as a VHE gamma-ray emitter since 2006. The VHE gamma-ray emission displays strong variability on timescales as short as a day. In this paper, results from a joint VHE monitoring campaign on M 87 by the MAGIC and VERITAS instruments in 2010 are reported. During the campaign, a flare at VHE was detected triggering further observations at VHE (H.E.S.S.), X-rays (Chandra), and radio (43 GHz Very Long Baseline Array, VLBA). The excellent sampling of the VHE gamma-ray light curve enables one to derive a precise temporal characterization of the flare: the single, isolated flare is well described by a two-sided exponential function with significantly different flux rise and decay times of tau(rise)(d) = (1.69 +/- 0.30) days and tau(decay)(d) = (0.611 +/- 0.080) days, respectively. While the overall variability pattern of the 2010 flare appears somewhat different from that of previous VHE flares in 2005 and 2008, they share very similar timescales (similar to day), peak fluxes (Phi(>0.35 TeV) similar or equal to (1-3) x 10(-11) photons cm(-2) s(-1)), and VHE spectra. VLBA radio observations of 43 GHz of the inner jet regions indicate no enhanced flux in 2010 in contrast to observations in 2008, where an increase of the radio flux of the innermost core regions coincided with a VHE flare. On the other hand, Chandra X-ray observations taken similar to 3 days after the peak of the VHE gamma-ray emission reveal an enhanced flux from the core (flux increased by factor similar to 2; variability timescale <2 days). The long-term (2001-2010) multi-wavelength (MWL) light curve of M 87, spanning from radio to VHE and including data from Hubble Space Telescope, Liverpool Telescope, Very Large Array, and European VLBI Network, is used to further investigate the origin of the VHE gamma-ray emission. No unique, common MWL signature of the three VHE flares has been identified. In the outer kiloparsec jet region, in particular in HST-1, no enhanced MWL activity was detected in 2008 and 2010, disfavoring it as the origin of the VHE flares during these years. Shortly after two of the three flares (2008 and 2010), the X-ray core was observed to be at a higher flux level than its characteristic range (determined from more than 60 monitoring observations: 2002-2009). In 2005, the strong flux dominance of HST-1 could have suppressed the detection of such a feature. Published models for VHE gamma-ray emission from M 87 are reviewed in the light of the new data.
KW  - galaxies: active
KW  - galaxies: individual (M 87)
KW  - galaxies: jets
KW  - galaxies: nuclei
KW  - gamma rays: galaxies
KW  - radiation mechanisms: non-thermal
Y1  - 2012
U6  - https://doi.org/10.1088/0004-637X/746/2/151
SN  - 0004-637X
VL  - 746
IS  - 2
PB  - IOP Publ. Ltd.
CY  - Bristol
ER  - 
TY  - JOUR
A1  - Mantzouki, Evanthia
A1  - Campbell, James
A1  - van Loon, Emiel
A1  - Visser, Petra
A1  - Konstantinou, Iosif
A1  - Antoniou, Maria
A1  - Giuliani, Gregory
A1  - Machado-Vieira, Danielle
A1  - de Oliveira, Alinne Gurjao
A1  - Maronic, Dubravka Spoljaric
A1  - Stevic, Filip
A1  - Pfeiffer, Tanja Zuna
A1  - Vucelic, Itana Bokan
A1  - Zutinic, Petar
A1  - Udovic, Marija Gligora
A1  - Plenkovic-Moraj, Andelka
A1  - Tsiarta, Nikoletta
A1  - Blaha, Ludek
A1  - Geris, Rodan
A1  - Frankova, Marketa
A1  - Christoffersen, Kirsten Seestern
A1  - Warming, Trine Perlt
A1  - Feldmann, Tonu
A1  - Laas, Alo
A1  - Panksep, Kristel
A1  - Tuvikene, Lea
A1  - Kangro, Kersti
A1  - Haggqvist, Kerstin
A1  - Salmi, Pauliina
A1  - Arvola, Lauri
A1  - Fastner, Jutta
A1  - Straile, Dietmar
A1  - Rothhaupt, Karl-Otto
A1  - Fonvielle, Jeremy Andre
A1  - Grossart, Hans-Peter
A1  - Avagianos, Christos
A1  - Kaloudis, Triantafyllos
A1  - Triantis, Theodoros
A1  - Zervou, Sevasti-Kiriaki
A1  - Hiskia, Anastasia
A1  - Gkelis, Spyros
A1  - Panou, Manthos
A1  - McCarthy, Valerie
A1  - Perello, Victor C.
A1  - Obertegger, Ulrike
A1  - Boscaini, Adriano
A1  - Flaim, Giovanna
A1  - Salmaso, Nico
A1  - Cerasino, Leonardo
A1  - Koreiviene, Judita
A1  - Karosiene, Jurate
A1  - Kasperoviciene, Jurate
A1  - Savadova, Ksenija
A1  - Vitonyte, Irma
A1  - Haande, Sigrid
A1  - Skjelbred, Birger
A1  - Grabowska, Magdalena
A1  - Karpowicz, Maciej
A1  - Chmura, Damian
A1  - Nawrocka, Lidia
A1  - Kobos, Justyna
A1  - Mazur-Marzec, Hanna
A1  - Alcaraz-Parraga, Pablo
A1  - Wilk-Wozniak, Elzbieta
A1  - Krzton, Wojciech
A1  - Walusiak, Edward
A1  - Gagala, Ilona
A1  - Mankiewicz-Boczek, Joana
A1  - Toporowska, Magdalena
A1  - Pawlik-Skowronska, Barbara
A1  - Niedzwiecki, Michal
A1  - Peczula, Wojciech
A1  - Napiorkowska-Krzebietke, Agnieszka
A1  - Dunalska, Julita
A1  - Sienska, Justyna
A1  - Szymanski, Daniel
A1  - Kruk, Marek
A1  - Budzynska, Agnieszka
A1  - Goldyn, Ryszard
A1  - Kozak, Anna
A1  - Rosinska, Joanna
A1  - Szelag-Wasielewska, Elzbieta
A1  - Domek, Piotr
A1  - Jakubowska-Krepska, Natalia
A1  - Kwasizur, Kinga
A1  - Messyasz, Beata
A1  - Pelechata, Aleksandra
A1  - Pelechaty, Mariusz
A1  - Kokocinski, Mikolaj
A1  - Madrecka, Beata
A1  - Kostrzewska-Szlakowska, Iwona
A1  - Frak, Magdalena
A1  - Bankowska-Sobczak, Agnieszka
A1  - Wasilewicz, Michal
A1  - Ochocka, Agnieszka
A1  - Pasztaleniec, Agnieszka
A1  - Jasser, Iwona
A1  - Antao-Geraldes, Ana M.
A1  - Leira, Manel
A1  - Hernandez, Armand
A1  - Vasconcelos, Vitor
A1  - Morais, Joao
A1  - Vale, Micaela
A1  - Raposeiro, Pedro M.
A1  - Goncalves, Vitor
A1  - Aleksovski, Boris
A1  - Krstic, Svetislav
A1  - Nemova, Hana
A1  - Drastichova, Iveta
A1  - Chomova, Lucia
A1  - Remec-Rekar, Spela
A1  - Elersek, Tina
A1  - Delgado-Martin, Jordi
A1  - Garcia, David
A1  - Luis Cereijo, Jose
A1  - Goma, Joan
A1  - Carmen Trapote, Mari
A1  - Vegas-Vilarrubia, Teresa
A1  - Obrador, Biel
A1  - Garcia-Murcia, Ana
A1  - Real, Monserrat
A1  - Romans, Elvira
A1  - Noguero-Ribes, Jordi
A1  - Parreno Duque, David
A1  - Fernandez-Moran, Elisabeth
A1  - Ubeda, Barbara
A1  - Angel Galvez, Jose
A1  - Marce, Rafael
A1  - Catalan, Nuria
A1  - Perez-Martinez, Carmen
A1  - Ramos-Rodriguez, Eloisa
A1  - Cillero-Castro, Carmen
A1  - Moreno-Ostos, Enrique
A1  - Maria Blanco, Jose
A1  - Rodriguez, Valeriano
A1  - Juan Montes-Perez, Jorge
A1  - Palomino, Roberto L.
A1  - Rodriguez-Perez, Estela
A1  - Carballeira, Rafael
A1  - Camacho, Antonio
A1  - Picazo, Antonio
A1  - Rochera, Carlos
A1  - Santamans, Anna C.
A1  - Ferriol, Carmen
A1  - Romo, Susana
A1  - Soria, Juan Miguel
A1  - Hansson, Lars-Anders
A1  - Urrutia-Cordero, Pablo
A1  - Ozen, Arda
A1  - Bravo, Andrea G.
A1  - Buck, Moritz
A1  - Colom-Montero, William
A1  - Mustonen, Kristiina
A1  - Pierson, Don
A1  - Yang, Yang
A1  - Verspagen, Jolanda M. H.
A1  - Domis, Lisette N. de Senerpont
A1  - Seelen, Laura
A1  - Teurlincx, Sven
A1  - Verstijnen, Yvon
A1  - Lurling, Miquel
A1  - Maliaka, Valentini
A1  - Faassen, Elisabeth J.
A1  - Latour, Delphine
A1  - Carey, Cayelan C.
A1  - Paerl, Hans W.
A1  - Torokne, Andrea
A1  - Karan, Tunay
A1  - Demir, Nilsun
A1  - Beklioglu, Meryem
A1  - Filiz, Nur
A1  - Levi, Eti E.
A1  - Iskin, Ugur
A1  - Bezirci, Gizem
A1  - Tavsanoglu, Ulku Nihan
A1  - Celik, Kemal
A1  - Ozhan, Koray
A1  - Karakaya, Nusret
A1  - Kocer, Mehmet Ali Turan
A1  - Yilmaz, Mete
A1  - Maraslioglu, Faruk
A1  - Fakioglu, Ozden
A1  - Soylu, Elif Neyran
A1  - Yagci, Meral Apaydin
A1  - Cinar, Sakir
A1  - Capkin, Kadir
A1  - Yagci, Abdulkadir
A1  - Cesur, Mehmet
A1  - Bilgin, Fuat
A1  - Bulut, Cafer
A1  - Uysal, Rahmi
A1  - Koker, Latife
A1  - Akcaalan, Reyhan
A1  - Albay, Meric
A1  - Alp, Mehmet Tahir
A1  - Ozkan, Korhan
A1  - Sevindik, Tugba Ongun
A1  - Tunca, Hatice
A1  - Onem, Burcin
A1  - Richardson, Jessica
A1  - Edwards, Christine
A1  - Bergkemper, Victoria
A1  - Beirne, Eilish
A1  - Cromie, Hannah
A1  - Ibelings, Bastiaan W.
T1  - Data Descriptor: A European Multi Lake Survey dataset of environmental variables, phytoplankton pigments and cyanotoxins
JF  - Scientific Data
N2  - Under ongoing climate change and increasing anthropogenic activity, which continuously challenge ecosystem resilience, an in-depth understanding of ecological processes is urgently needed. Lakes, as providers of numerous ecosystem services, face multiple stressors that threaten their functioning. Harmful cyanobacterial blooms are a persistent problem resulting from nutrient pollution and climate-change induced stressors, like poor transparency, increased water temperature and enhanced stratification. Consistency in data collection and analysis methods is necessary to achieve fully comparable datasets and for statistical validity, avoiding issues linked to disparate data sources. The European Multi Lake Survey (EMLS) in summer 2015 was an initiative among scientists from 27 countries to collect and analyse lake physical, chemical and biological variables in a fully standardized manner. This database includes in-situ lake variables along with nutrient, pigment and cyanotoxin data of 369 lakes in Europe, which were centrally analysed in dedicated laboratories. Publishing the EMLS methods and dataset might inspire similar initiatives to study across large geographic areas that will contribute to better understanding lake responses in a changing environment.
KW  - Climate-change ecology
KW  - Limnology
KW  - Water resources
Y1  - 2018
U6  - https://doi.org/10.1038/sdata.2018.226
SN  - 2052-4463
VL  - 5
PB  - Nature Publ. Group
CY  - London
ER  - 
TY  - GEN
A1  - Mantzouki, Evanthia
A1  - Lürling, Miquel
A1  - Fastner, Jutta
A1  - Domis, Lisette Nicole de Senerpont
A1  - Wilk-Woźniak, Elżbieta
A1  - Koreiviene, Judita
A1  - Seelen, Laura
A1  - Teurlincx, Sven
A1  - Verstijnen, Yvon
A1  - Krztoń, Wojciech
A1  - Walusiak, Edward
A1  - Karosienė, Jūratė
A1  - Kasperovičienė, Jūratė
A1  - Savadova, Ksenija
A1  - Vitonytė, Irma
A1  - Cillero-Castro, Carmen
A1  - Budzyńska, Agnieszka
A1  - Goldyn, Ryszard
A1  - Kozak, Anna
A1  - Rosińska, Joanna
A1  - Szeląg-Wasielewska, Elżbieta
A1  - Domek, Piotr
A1  - Jakubowska-Krepska, Natalia
A1  - Kwasizur, Kinga
A1  - Messyasz, Beata
A1  - Pełechata, Aleksandra
A1  - Pełechaty, Mariusz
A1  - Kokocinski, Mikolaj
A1  - García-Murcia, Ana
A1  - Real, Monserrat
A1  - Romans, Elvira
A1  - Noguero-Ribes, Jordi
A1  - Duque, David Parreño
A1  - Fernández-Morán, Elísabeth
A1  - Karakaya, Nusret
A1  - Häggqvist, Kerstin
A1  - Beklioğlu, Meryem
A1  - Filiz, Nur
A1  - Levi, Eti E.
A1  - Iskin, Uğur
A1  - Bezirci, Gizem
A1  - Tavşanoğlu, Ülkü Nihan
A1  - Özhan, Koray
A1  - Gkelis, Spyros
A1  - Panou, Manthos
A1  - Fakioglu, Özden
A1  - Avagianos, Christos
A1  - Kaloudis, Triantafyllos
A1  - Çelik, Kemal
A1  - Yilmaz, Mete
A1  - Marcé, Rafael
A1  - Catalán, Nuria
A1  - Bravo, Andrea G.
A1  - Buck, Moritz
A1  - Colom-Montero, William
A1  - Mustonen, Kristiina
A1  - Pierson, Don
A1  - Yang, Yang
A1  - Raposeiro, Pedro M.
A1  - Gonçalves, Vítor
A1  - Antoniou, Maria G.
A1  - Tsiarta, Nikoletta
A1  - McCarthy, Valerie
A1  - Perello, Victor C.
A1  - Feldmann, Tõnu
A1  - Laas, Alo
A1  - Panksep, Kristel
A1  - Tuvikene, Lea
A1  - Gagala, Ilona
A1  - Mankiewicz-Boczek, Joana
A1  - Yağcı, Meral Apaydın
A1  - Çınar, Şakir
A1  - Çapkın, Kadir
A1  - Yağcı, Abdulkadir
A1  - Cesur, Mehmet
A1  - Bilgin, Fuat
A1  - Bulut, Cafer
A1  - Uysal, Rahmi
A1  - Obertegger, Ulrike
A1  - Boscaini, Adriano
A1  - Flaim, Giovanna
A1  - Salmaso, Nico
A1  - Cerasino, Leonardo
A1  - Richardson, Jessica
A1  - Visser, Petra M.
A1  - Verspagen, Jolanda M. H.
A1  - Karan, Tünay
A1  - Soylu, Elif Neyran
A1  - Maraşlıoğlu, Faruk
A1  - Napiórkowska-Krzebietke, Agnieszka
A1  - Ochocka, Agnieszka
A1  - Pasztaleniec, Agnieszka
A1  - Antão-Geraldes, Ana M.
A1  - Vasconcelos, Vitor
A1  - Morais, João
A1  - Vale, Micaela
A1  - Köker, Latife
A1  - Akçaalan, Reyhan
A1  - Albay, Meriç
A1  - Maronić, Dubravka Špoljarić
A1  - Stević, Filip
A1  - Pfeiffer, Tanja Žuna
A1  - Fonvielle, Jeremy Andre
A1  - Straile, Dietmar
A1  - Rothhaupt, Karl-Otto
A1  - Hansson, Lars-Anders
A1  - Urrutia-Cordero, Pablo
A1  - Bláha, Luděk
A1  - Geriš, Rodan
A1  - Fránková, Markéta
A1  - Koçer, Mehmet Ali Turan
A1  - Alp, Mehmet Tahir
A1  - Remec-Rekar, Spela
A1  - Elersek, Tina
A1  - Triantis, Theodoros
A1  - Zervou, Sevasti-Kiriaki
A1  - Hiskia, Anastasia
A1  - Haande, Sigrid
A1  - Skjelbred, Birger
A1  - Madrecka, Beata
A1  - Nemova, Hana
A1  - Drastichova, Iveta
A1  - Chomova, Lucia
A1  - Edwards, Christine
A1  - Sevindik, Tuğba Ongun
A1  - Tunca, Hatice
A1  - Önem, Burçin
A1  - Aleksovski, Boris
A1  - Krstić, Svetislav
A1  - Vucelić, Itana Bokan
A1  - Nawrocka, Lidia
A1  - Salmi, Pauliina
A1  - Machado-Vieira, Danielle
A1  - Oliveira, Alinne Gurjão De
A1  - Delgado-Martín, Jordi
A1  - García, David
A1  - Cereijo, Jose Luís
A1  - Gomà, Joan
A1  - Trapote, Mari Carmen
A1  - Vegas-Vilarrúbia, Teresa
A1  - Obrador, Biel
A1  - Grabowska, Magdalena
A1  - Karpowicz, Maciej
A1  - Chmura, Damian
A1  - Úbeda, Bárbara
A1  - Gálvez, José Ángel
A1  - Özen, Arda
A1  - Christoffersen, Kirsten Seestern
A1  - Warming, Trine Perlt
A1  - Kobos, Justyna
A1  - Mazur-Marzec, Hanna
A1  - Pérez-Martínez, Carmen
A1  - Ramos-Rodríguez, Eloísa
A1  - Arvola, Lauri
A1  - Alcaraz-Párraga, Pablo
A1  - Toporowska, Magdalena
A1  - Pawlik-Skowronska, Barbara
A1  - Niedźwiecki, Michał
A1  - Pęczuła, Wojciech
A1  - Leira, Manel
A1  - Hernández, Armand
A1  - Moreno-Ostos, Enrique
A1  - Blanco, José María
A1  - Rodríguez, Valeriano
A1  - Montes-Pérez, Jorge Juan
A1  - Palomino, Roberto L.
A1  - Rodríguez-Pérez, Estela
A1  - Carballeira, Rafael
A1  - Camacho, Antonio
A1  - Picazo, Antonio
A1  - Rochera, Carlos
A1  - Santamans, Anna C.
A1  - Ferriol, Carmen
A1  - Romo, Susana
A1  - Soria, Juan Miguel
A1  - Dunalska, Julita
A1  - Sieńska, Justyna
A1  - Szymański, Daniel
A1  - Kruk, Marek
A1  - Kostrzewska-Szlakowska, Iwona
A1  - Jasser, Iwona
A1  - Žutinić, Petar
A1  - Udovič, Marija Gligora
A1  - Plenković-Moraj, Anđelka
A1  - Frąk, Magdalena
A1  - Bańkowska-Sobczak, Agnieszka
A1  - Wasilewicz, Michał
A1  - Özkan, Korhan
A1  - Maliaka, Valentini
A1  - Kangro, Kersti
A1  - Grossart, Hans-Peter
A1  - Paerl, Hans W.
A1  - Carey, Cayelan C.
A1  - Ibelings, Bas W.
T1  - Temperature effects explain continental scale distribution of cyanobacterial toxins
T2  - Postprints der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe
N2  - Insight into how environmental change determines the production and distribution of cyanobacterial toxins is necessary for risk assessment. Management guidelines currently focus on hepatotoxins (microcystins). Increasing attention is given to other classes, such as neurotoxins (e.g., anatoxin-a) and cytotoxins (e.g., cylindrospermopsin) due to their potency. Most studies examine the relationship between individual toxin variants and environmental factors, such as nutrients, temperature and light. In summer 2015, we collected samples across Europe to investigate the effect of nutrient and temperature gradients on the variability of toxin production at a continental scale. Direct and indirect effects of temperature were the main drivers of the spatial distribution in the toxins produced by the cyanobacterial community, the toxin concentrations and toxin quota. Generalized linear models showed that a Toxin Diversity Index (TDI) increased with latitude, while it decreased with water stability. Increases in TDI were explained through a significant increase in toxin variants such as MC-YR, anatoxin and cylindrospermopsin, accompanied by a decreasing presence of MC-LR. While global warming continues, the direct and indirect effects of increased lake temperatures will drive changes in the distribution of cyanobacterial toxins in Europe, potentially promoting selection of a few highly toxic species or strains.
T3  - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe - 1105 
KW  - microcystin
KW  - anatoxin
KW  - cylindrospermopsin
KW  - temperature
KW  - direct effects
KW  - indirect effects
KW  - spatial distribution
KW  - European Multi Lake Survey
Y1  - 2021
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-427902
SN  - 1866-8372
IS  - 1105
ER  - 
TY  - JOUR
A1  - Mantzouki, Evanthia
A1  - Lurling, Miquel
A1  - Fastner, Jutta
A1  - Domis, Lisette Nicole de Senerpont
A1  - Wilk-Wozniak, Elzbieta
A1  - Koreiviene, Judita
A1  - Seelen, Laura
A1  - Teurlincx, Sven
A1  - Verstijnen, Yvon
A1  - Krzton, Wojciech
A1  - Walusiak, Edward
A1  - Karosiene, Jurate
A1  - Kasperoviciene, Jurate
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A1  - Feldmann, Tonu
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A1  - Ibelings, Bas W.
T1  - Temperature effects explain continental scale distribution of cyanobacterial toxins
JF  - Toxins
N2  - Insight into how environmental change determines the production and distribution of cyanobacterial toxins is necessary for risk assessment. Management guidelines currently focus on hepatotoxins (microcystins). Increasing attention is given to other classes, such as neurotoxins (e.g., anatoxin-a) and cytotoxins (e.g., cylindrospermopsin) due to their potency. Most studies examine the relationship between individual toxin variants and environmental factors, such as nutrients, temperature and light. In summer 2015, we collected samples across Europe to investigate the effect of nutrient and temperature gradients on the variability of toxin production at a continental scale. Direct and indirect effects of temperature were the main drivers of the spatial distribution in the toxins produced by the cyanobacterial community, the toxin concentrations and toxin quota. Generalized linear models showed that a Toxin Diversity Index (TDI) increased with latitude, while it decreased with water stability. Increases in TDI were explained through a significant increase in toxin variants such as MC-YR, anatoxin and cylindrospermopsin, accompanied by a decreasing presence of MC-LR. While global warming continues, the direct and indirect effects of increased lake temperatures will drive changes in the distribution of cyanobacterial toxins in Europe, potentially promoting selection of a few highly toxic species or strains.
KW  - microcystin
KW  - anatoxin
KW  - cylindrospermopsin
KW  - temperature
KW  - direct effects
KW  - indirect effects
KW  - spatial distribution
KW  - European Multi Lake Survey
Y1  - 2018
U6  - https://doi.org/10.3390/toxins10040156
SN  - 2072-6651
VL  - 10
IS  - 4
PB  - MDPI
CY  - Basel
ER  -