Global fine-resolution data on springtail abundance and community structure.

• Published in: Scientific Data
• Main Authors: Potapov, Anton M, Chen, Ting-Wen, Striuchkova, Anastasia V, Alatalo, Juha M, Alexandre, Douglas, Arbea, Javier, Ashton, Thomas, Ashwood, Frank, Babenko, Anatoly B, Bandyopadhyaya, Ipsa, Baretta, Carolina Riviera Duarte Maluche, Baretta, Dilmar, Barnes, Andrew D, Bellini, Bruno C, Bendjaballah, Mohamed, Berg, Matty P, Bernava, Verónica, Bokhorst, Stef, Bokova, Anna I, Bolger, Thomas, Bouchard, Mathieu, Brito, Roniere A, Buchori, Damayanti, Castaño-Meneses, Gabriela, Chauvat, Matthieu, Chomel, Mathilde, Chow, Yasuko, Chown, Steven L, Classen, Aimee T, Cortet, Jérôme, Čuchta, Peter, de la Pedrosa, Ana Manuela, De Lima, Estevam C A, Deharveng, Louis E, Doblas Miranda, Enrique, Drescher, Jochen, Eisenhauer, Nico, Ellers, Jacintha, Ferlian, Olga, Ferreira, Susana S D, Ferreira, Aila S, Fiera, Cristina, Filser, Juliane, Franken, Oscar, Fujii, Saori, Koudji, Essivi Gagnon, Gao, Meixiang, Gendreau-Berthiaume, Benoit, Gers, Charles, Greve, Michelle, Hamra-Kroua, Salah, Handa, I Tanya, Hasegawa, Motohiro, Heiniger, Charlène, Hishi, Takuo, Holmstrup, Martin, Homet, Pablo, Høye, Toke T, Ivask, Mari, Jacques, Bob, Janion-Scheepers, Charlene, Jochum, Malte, Joimel, Sophie, Jorge, Bruna Claudia S, Juceviča, Edite, Kapinga, Esther M, Kováč, Ľubomír, Krab, Eveline J, Krogh, Paul Henning, Kuu, Annely, Kuznetsova, Natalya, Lam, Weng Ngai, Lin, Dunmei, Lindo, Zoë, Liu, Amy W P, Lu, Jing-Zhong, Luciáñez, María José, Marx, Michael T, Mawan, Amanda, McCary, Matthew A, Minor, Maria A, Mitchell, Grace I, Moreno, David, Nakamori, Taizo, Negri, Ilaria, Nielsen, Uffe N, Ochoa-Hueso, Raúl, Oliveira Filho, Luís Carlos I, Palacios-Vargas, José G, Pollierer, Melanie M, Ponge, Jean-François, Potapov, Mikhail B, Querner, Pascal, Rai, Bibishan, Raschmanová, Natália, Rashid, Muhammad Imtiaz, Raymond-Léonard, Laura J, Reis, Aline S, Ross, Giles M, Rousseau, Laurent, Russell, David J, Saifutdinov, Ruslan A, Salmon, Sandrine, Santonja, Mathieu, Saraeva, Anna K, Sayer, Emma J, Scheunemann, Nicole, Scholz, Cornelia, Seeber, Julia, Shaw, Peter, Shveenkova, Yulia B, Slade, Eleanor M, Stebaeva, Sophya, Sterzynska, Maria, Sun, Xin, Susanti, Winda Ika, Taskaeva, Anastasia A, Tay, Li Si, Thakur, Madhav P, Treasure, Anne M, Tsiafouli, Maria, Twala, Mthokozisi N, Uvarov, Alexei V, Venier, Lisa A, Widenfalk, Lina A, Widyastuti, Rahayu, Winck, Bruna, Winkler, Daniel, Wu, Donghui, Xie, Zhijing, Yin, Rui, Zampaulo, Robson A, Zeppelini, Douglas, Zhang, Bing, Zoughailech, Abdelmalek, Ashford, Oliver, Klauberg-Filho, Osmar, Scheu, Stefan
• Format: Article in Journal/Newspaper
• Language: English
• Published: Nature Publishing Group 2024
• Subjects: 570 Life sciences; biology; 590 Animals (Zoology); 580 Plants (Botany); Antarctic; Arctic; The Antarctic; Antarc*; Springtail
• Online Access: https://boris.unibe.ch/191251/1/s41597-023-02784-x.pdf; https://boris.unibe.ch/191251/

Springtails (Collembola) inhabit soils from the Arctic to the Antarctic and comprise an estimated ~32% of all terrestrial arthropods on Earth. Here, we present a global, spatially-explicit database on springtail communities that includes 249,912 occurrences from 44,999 samples and 2,990 sites. These data are mainly raw sample-level records at the species level collected predominantly from private archives of the authors that were quality-controlled and taxonomically-standardised. Despite covering all continents, most of the sample-level data come from the European continent (82.5% of all samples) and represent four habitats: woodlands (57.4%), grasslands (14.0%), agrosystems (13.7%) and scrublands (9.0%). We included sampling by soil layers, and across seasons and years, representing temporal and spatial within-site variation in springtail communities. We also provided data use and sharing guidelines and R code to facilitate the use of the database by other researchers. This data paper describes a static version of the database at the publication date, but the database will be further expanded to include underrepresented regions and linked with trait data.