Data descriptor: a European multi lake urvey dataset of environmental variables, phytoplankton pigments and cyanotoxins

• Autor(a) principal: Mantzouki, Evanthia
• Data de Publicação: 2018
• Outros Autores: Campbell, James, Loon, Emiel van, Visser, Petra, Konstantinou, Iosif, Antoniou, Maria G., Giuliani, Grégory, Machado-Vieira, Danielle, Oliveira, Alinne Gurjão, Maronić, Dubravka Špoljarić, Stević, Filip, Real, Monserrat, Latour, Delphine, Çınar, Şakir, Romans, Elvira, Noguero-Ribes, Jordi, Duque, David Parreño, Fernández-Morán, Elísabeth, Úbeda, Bárbara, Gálvez, José Ángel, Soria, Juan Miguel, Fonvielle, Jeremy, Marcé, Rafael, Catalán, Núria, Pérez-Martínez, Carmen, Carey, Cayelan C., Žutinić, Petar, Çapkın, Kadir, Ramos‐Rodríguez, Eloísa, Cillero-Castro, Carmen, Moreno-Ostos, Enrique, Blanco, José María, Rosińska, Joanna, Torokne, Andrea, Rodríguez, Valeriano, Montes-Pérez, Jorge Juan, Palomino, Roberto L., Rodríguez-Pérez, Estela, Paerl, Hans W., Carballeira, Rafael, Vitonytė, Irma, Hansson, Lars-Anders, Urrutia-Cordero, Pablo, Raposeiro, Pedro M., Özen, Arda, Cesur, Mehmet, Bravo, Andrea G., Plenković-Moraj, Anđelka, Buck, Moritz, Colom-Montero, William, Mustonen, Kristiina, Pierson, Don, Aleksovski, Boris, Bulut, Cafer, Grossart, Hans-Peter, Yang, Yang, Verspagen, Jolanda M.H., Domis, Lisette N. de Senerpont, Seelen, Laura, Bilgin, Fuat, Teurlincx, Sven, Szymański, Daniel, Karan, Tünay, Demir, Nilsun, Haande, Sigrid, Avagianos, Christos, Beklioğlu, Meryem, Bláha, Luděk, Filiz, Nur, Levi, Eti E., Iskin, Uğur, Bezirci, Gizem, Tavşanoğlu, Ülkü Nihan, Çelik, Kemal, Kruk, Marek, Fránková, Markéta, Kaloudis, Triantafyllos, Skjelbred, Birger, Özhan, Koray, Karakaya, Nusret, Koçer, Mehmet Ali Turan, Yilmaz, Mete, Geriš, Rodan, Maraşlıoğlu, Faruk, Vasconcelos, Vítor, Uysal, Rahmi, Köker, Latife, Triantis, Theodoros, Budzyńska, Agnieszka, Grabowska, Magdalena, Akçaalan, Reyhan, Albay, Meriç, Alp, Mehmet Tahir, Özkan, Korhan, Sevindik, Tuğba Ongun, Tunca, Hatice, Önem, Burçin, Richardson, Jessica, Zervou, Sevasti-Kiriaki, Morais, João, Christoffersen, Kirsten Seestern, Karpowicz, Maciej, Goldyn, Ryszard, Edwards, Christine, Bergkemper, Victoria, O'Leary, Sarah, Beirne, Eilish, Cromie, Hannah, Ibelings, Bastiaan W., Hiskia, Anastasia, Warming, Trine Perlt, Feldmann, Tõnu, Laas, Alo, Chmura, Damian, Vale, Micaela, Kozak, Anna, Panksep, Kristel, Tuvikene, Lea, Kangro, Kersti, Häggqvist, Kerstin, Kobos, Justyna, Salmi, Pauliina, Arvola, Lauri, Fastner, Jutta, Straile, Dietmar, Nawrocka, Lidia, Rothhaupt, Karl-Otto, Camacho, Antonio, Gkelis, Spyros, Panou, Manthos, McCarthy, Valerie, Szeląg-Wasielewska, Elżbieta, Perello, Victor C., Gonçalves, Vítor Manuel da Costa, Obertegger, Ulrike, Boscaini, Adriano, Flaim, Giovanna, Salmaso, Nico, Yağcı, Abdulkadir, Jakubowska-Krepska, Natalia, Cerasino, Leonardo, Koreivienė, Judita, Karosienė, Jūratė, Kasperovičienė, Jūratė, Domek, Piotr, Savadova‐Ratkus, Ksenija, Verstijnen, Yvon, Mazur-Marzec, Hanna, Alcaraz-Párraga, Pablo, Udovič, Marija Gligora, Wilk-Woźniak, Elżbieta, Krstić, Svetislav, Krztoń, Wojciech, Walusiak, Edward, Gagala‐Borowska, Ilona, Mankiewicz-Boczek, Joana, Toporowska, Magdalena, Pawlik-Skowronska, Barbara, Tsiarta, Nikoletta, Drastichova, Iveta, Picazo, Antonio, Niedźwiecki, Michał, Pęczuła, Wojciech, Napiórkowska-Krzebietke, Agnieszka, Dunalska, Julita, Nemova, Hana, Sieńska, Justyna, Fakioglu, Özden, Kwasizur, Kinga, Messyasz, Beata, Lürling, Miquel, Rochera, Carlos, Pełechata, Aleksandra, Pełechaty, Mariusz, Kokocinski, Mikolaj, Madrecka‐Witkowska, Beata, Kostrzewska-Szlakowska, Iwona, Frąk, Magdalena, Bańkowska-Sobczak, Agnieszka, Wasilewicz, Michał, Soylu, Elif Neyran, Chomova, Lucia, Santamans, Anna C., Maliaka, Valentini, Ochocka, Agnieszka, Pasztaleniec, Agnieszka, Jasser, Iwona, Geraldes, Ana Maria, Leira, Manel, Hernández, Armand, Pfeiffer, Tanja Žuna, Remec-Rekar, Spela, Elersek, Tina, Ferriol, Carmen, Yağcı, Meral Apaydın, Faassen, Elisabeth J., Delgado-Martín, Jordi, García, David, Cereijo, Jose Luís, Gomà, Joan, Trapote, Mari Carmen, Vegas-Vilarrúbia, Teresa, Obrador, Biel, García-Murcia, Ana, Romo, Susana, Vucelić, Itana Bokan
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
• Texto Completo: http://hdl.handle.net/10198/18873
• topic: Dataset; Phytoplankton pigments

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.