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Research data keyboard_double_arrow_right Dataset 2022 NetherlandsPublisher:Zenodo Tedersoo, Leho; Mikryukov, Vladimir; Zizka, Alexander; Bahram, Mohammad; Hagh-Doust, Niloufar; Anslan, Sten; Prylutskyi, Oleh; Delgado-Baquerizo, Manuel; Maestre, Fernando T.; Pärn, Jaan; Öpik, Maarja; Moora, Mari; Zobel, Martin; Espenberg, Mikk; Mander, Ülo; Khalid, Abdul Nasir; Corrales, Adriana; Agan, Ahto; Aída-M. Vasco-Palacios; Saitta, Alessandro; Rinaldi, Andrea C.; Verbeken, Annemieke; Sulistyo, Bobby P.; Tamgnoue, Boris; Furneaux, Brendan; Ritter, Camila Duarte; Nyamukondiwa, Casper; Sharp, Cathy; Marín, César; Daniyal Gohar; Darta Klavina; Dipon Sharmah; Dai, Dong Qin; Nouhra, Eduardo; Biersma, Elisabeth Machteld; Rähn, Elisabeth; Cameron, Erin K.; De Crop, Eske; Otsing, Eveli; Davydov, Evgeny A.; Albornoz, Felipe E.; Brearley, Francis Q.; Buegger, Franz; Zahn, Geoffrey; Bonito, Gregory; Hiiesalu, Inga; Barrio, Isabel C.; Heilmann-Clausen, Jacob; Ankuda, Jelena; Kupagme, John Y.; Maciá-Vicente, Jose G.; Fovo, Joseph Djeugap; Geml, József; Alatalo, Juha M.; Alvarez-Manjarrez, Julieta; Põldmaa, Kadri; Runnel, Kadri; Adamson, Kalev; Bråthen, Kari Anne; Pritsch, Karin; Tchan, Kassim I.; Kęstutis Armolaitis; Hyde, Kevin D.; Newsham, Kevin K.; Panksep, Kristel; Adebola A. Lateef; Tiirmann, Liis; Hansson, Linda; Lamit, Louis J.; Saba, Malka; Tuomi, Maria; Gryzenhout, Marieka; Bauters, Marijn; Piepenbring, Meike; Nalin Wijayawardene; Nourou S. Yorou; Kurina, Olavi; Mortimer, Peter E.; Meidl, Peter; Kohout, Petr; R. Henrik Nilsson; Puusepp, Rasmus; Drenkhan, Rein; Garibay-Orijel, Roberto; Godoy, Roberto; Alkahtani, Saad; Rahimlou, Saleh; Dudov, Sergey V.; Põlme, Sergei; Soumya Ghosh; Mundra, Sunil; Ahmed, Talaat; Netherway, Tarquin; Henkel, Terry W.; Roslin, Tomas; Nteziryayo, Vincent; Fedosov, Vladimir E.; Onipchenko, Vladimir G.; W. A. Erandi Yasanthika; Lim, Young Woon; Soudzilovskaia, Nadejda; Antonelli, Alexandre; Kõljalg, Urmas; Abarenkov, Kessy;This repository contains the data associated with the paper Tedersoo et al. (2022) Global patterns in endemicity and vulnerability of soil fungi // Global Change Biology. DOI:10.1111/gcb.16398 Fungi are highly diverse organisms and provide a wealth of ecosystem functions. However, distribution patterns and conservation needs of fungi have been very little explored compared to charismatic animals and plants. Here we assess endemicity patterns, global change vulnerability and conservation priority areas for functional groups of soil fungi based on six global surveys using a high-resolution, long-read metabarcoding approach. Endemicity of all fungi and most functional groups peaks in tropical habitats, including Amazonia, Yucatan, West-Central Africa, Sri Lanka and New Caledonia, with a negligible island effect compared with plants and animals. We also found that fungi are vulnerable mostly to drought, heat and land cover change, particularly in dry tropical regions with high human population density. Fungal conservation areas of highest priority include herbaceous wetlands, tropical forests and woodlands. We suggest that there should be more attention focused on the conservation of fungi, especially tropical root symbiotic arbuscular mycorrhizal and ectomycorrhizal fungi, unicellular early-diverging groups and macrofungi in general. Given the low overlap between endemicity of fungi and macroorganisms, but high matching in conservation needs, detailed analyses on distribution and conservation requirements are warranted for other microorganisms and soil organisms in general. This repository contains the following data associated with the publication: Supplementary tables S1 - S6 (`Tables_S1-S6.xlsx`): - Table S1. Definition of ecoregions and assignment of samples to ecoregions - Table S2. GSMc dataset used for endemicity analyses - Table S3. Dataset used for modeling endemicity values - Table S4. Dataset used for calculating and mapping vulnerability scores - Table S5. Dataset used for calculating and mapping conservation value - Table S6. Additional funding sources by authors OTU distribution by samples and ecoregions (`Data_taxon_assignment_to ecoregions.xlsx`) Gridded maps: Conservation priorities for all fungi and fungal groups - ConservationPriority_AllFungi.tif - ConservationPriority_AM.tif - ConservationPriority_EcM.tif - ConservationPriority_Moulds.tif - ConservationPriority_NonEcMAgaricomycetes.tif - ConservationPriority_OHPs.tif - ConservationPriority_Pathogens.tif - ConservationPriority_Unicellular.tif - ConservationPriority_Yeasts.tif The average vulnerability of all fungi and fungal groups and the model uncertainty estimates - AverageVulnerability_AllFungi.tif - AverageVulnerability_AM.tif - AverageVulnerability_EcM.tif - AverageVulnerability_Moulds.tif - AverageVulnerability_NonEcMAgaricomycetes.tif - AverageVulnerability_OHPs.tif - AverageVulnerability_Pathogens.tif - AverageVulnerabilityUncertainty_AllFungi.tif - AverageVulnerabilityUncertainty_AM.tif - AverageVulnerabilityUncertainty_EcM.tif - AverageVulnerabilityUncertainty_Moulds.tif - AverageVulnerabilityUncertainty_NonEcMAgaricomycetes.tif - AverageVulnerabilityUncertainty_OHPs.tif - AverageVulnerabilityUncertainty_Pathogens.tif - AverageVulnerabilityUncertainty_Unicellular.tif - AverageVulnerabilityUncertainty_Yeasts.tif - AverageVulnerability_Unicellular.tif - AverageVulnerability_Yeasts.tif The relative importance of predicted vulnerability of all fungi - RelativeImportanceOfVulnerability_AllFungi.tif Vulnerability to drought, heat, and land cover change for all fungi - Vulnerability_AllFungi_Heat-Drought-LandCoverChange.tif - VulnerabilityUncertainty_AllFungi_Heat-Drought-LandCoverChange.tif Human footprint index based on the Land-Use Harmonisation (LUH2; Hurtt et al., 2020, doi:10.5194/gmd-13-5425-2020) - `LandCoverChange_1960-2015.tif` MD5 checksums for all files (`MD5.md5`) Fungal groups: - AM, arbuscular mycorrhizal fungi (including all Glomeromycota but excluding all Endogonomycetes) - EcM, ectomycorrhizal fungi (excluding dubious lineages) - NonEcMAgaricomycetes, non-EcM Agaricomycetes (mostly saprotrophic fungi with usually macroscopic fruiting bodies) - Moulds (including Mortierellales, Mucorales, Umbelopsidales and Aspergillaceae and Trichocomaceae of Eurotiales and Trichoderma of Hypocreales) - Putative pathogens (including plant, animal and fungal pathogens as primary or secondary lifestyles) - OHPs, opportunistic human parasites (excluding Mortierellales) - Yeasts (excluding dimorphic yeasts) - Unicellular, other unicellular (non-yeast) fungi (including chytrids, aphids, rozellids and other early-diverging fungal lineages) Detailed processing steps can be found here: https://github.com/Mycology-Microbiology-Center/Fungal_Endemicity_and_Vulnerability This repository contains the data associated with the paper Tedersoo et al. (2022) Global patterns in endemicity and vulnerability of soil fungi // Global Change Biology. DOI:10.1111/gcb.16398 Fungi are highly diverse organisms and provide a wealth of ecosystem functions. However, distribution patterns and conservation needs of fungi have been very little explored compared to charismatic animals and plants. Here we assess endemicity patterns, global change vulnerability and conservation priority areas for functional groups of soil fungi based on six global surveys using a high-resolution, long-read metabarcoding approach. Endemicity of all fungi and most functional groups peaks in tropical habitats, including Amazonia, Yucatan, West-Central Africa, Sri Lanka and New Caledonia, with a negligible island effect compared with plants and animals. We also found that fungi are vulnerable mostly to drought, heat and land cover change, particularly in dry tropical regions with high human population density. Fungal conservation areas of highest priority include herbaceous wetlands, tropical forests and woodlands. We suggest that there should be more attention focused on the conservation of fungi, especially tropical root symbiotic arbuscular mycorrhizal and ectomycorrhizal fungi, unicellular early-diverging groups and macrofungi in general. Given the low overlap between endemicity of fungi and macroorganisms, but high matching in conservation needs, detailed analyses on distribution and conservation requirements are warranted for other microorganisms and soil organisms in general.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Research , Preprint 2020 GermanyPublisher:Deutsches Elektronen-Synchrotron, DESY, Hamburg Funded by:EC | STRONG-2020, ARC | Discovery Projects - Gran..., FWF | Constraining Physics Beyo... +3 projectsEC| STRONG-2020 ,ARC| Discovery Projects - Grant ID: DP170102389 ,FWF| Constraining Physics Beyond Standard Model with the Decay Bs0 -> tau+ tau- ,ARC| Discovery Projects - Grant ID: DP180102629 ,ARC| Future Fellowships - Grant ID: FT130100303 ,ARC| Discovery Projects - Grant ID: DP150103061Seidl, R.; Adachi, I.; Behera, P.; }, Niigata U.; Oskin, P.; Pakhlov, P.; }, Moscow Phys. Eng. Inst.; Pakhlova, G.; Moscow, MIPT}; Pardi, S.; Park, S.-H.; Patra, S.; Paul, S.; Belous, K.; Pedlar, T. K.; Piilonen, L. E.; Podobnik, T.; Stefan Inst., Ljubljana}; Popov, V.; Moscow, MIPT}; Prencipe, E.; Prim, M. T.; Ritter, M.; Rout, N.; Bennett, J.; Russo, G.; Sahoo, D.; Sakai, Y.; Sokendai, Tsukuba}; Sandilya, S.; Santelj, L.; Sanuki, T.; Savinov, V.; Schneider, O.; Schnell, G.; Bhuyan, B.; IKERBASQUE, Bilbao}; Schwanda, C.; Seino, Y.; Sevior, M. E.; Shapkin, M.; Shebalin, V.; Shiu, J.-G.; Shwartz, B.; }, Novosibirsk State U.; Solovieva, E.; Biswal, J.; Starič, M.; Stottler, Z. S.; Sumihama, M.; Sumiyoshi, T.; Sutcliffe, W.; Tanida, K.; Tenchini, F.; Uchida, M.; Uglov, T.; Moscow, MIPT}; Bračko, M.; Unno, Y.; Usov, Y.; }, Novosibirsk State U.; Van Tonder, R.; Varner, G.; Vorobyev, V.; , Novosibirsk State U.; }, Lebedev Inst.; Vossen, A.; Wang, C. H.; Stefan Inst., Ljubljana}; Wang, M.-Z.; Wang, P.; Watanuki, S.; Won, E.; Xu, X.; Yang, S. B.; Yelton, J.; Zhang, Z. P.; Zhilich, V.; }, Novosibirsk State U.; Browder, T. E.; Zhukova, V.; Belle Collaboration; Campajola, M.; }, Naples U.; Sokendai, Tsukuba}; Cao, L.; Červenkov, D.; Chang, M.-C.; Chekelian, V.; Chen, A.; Chilikin, K.; Cho, K.; Choi, Y.; Choudhury, S.; Cinabro, D.; Aihara, H.; Cunliffe, S.; De Nardo, G.; }, Naples U.; Di Capua, F.; }, Naples U.; Eidelman, S.; , Novosibirsk State U.; }, Lebedev Inst.; Epifanov, D.; }, Novosibirsk State U.; Asner, D. M.; Fast, J. E.; Ferber, T.; Fulsom, B. G.; Gaur, V.; Garmash, A.; }, Novosibirsk State U.; Giri, A.; Goldenzweig, P.; Hayasaka, K.; Hayashii, H.; Aulchenko, V.; Hou, W.-S.; Huang, K.; Inami, K.; Ishikawa, A.; Sokendai, Tsukuba}; Iwasaki, M.; Iwasaki, Y.; Jacobs, W. W.; Jia, S.; Jin, Y.; }, Novosibirsk State U.; Joo, K. K.; Karyan, G.; Kim, D. Y.; Kim, S. H.; Kodyš, P.; Korpar, S.; Stefan Inst., Ljubljana}; Križan, P.; Stefan Inst., Ljubljana}; Kroeger, R.; Aushev, T.; Krokovny, P.; }, Novosibirsk State U.; Kuzmin, A.; }, Novosibirsk State U.; Kwon, Y.-J.; Lee, S. C.; Li, Y. B.; Li Gioi, L.; Libby, J.; MacQueen, C.; Badhrees, I.; Masuda, M.; Matsuda, T.; Matvienko, D.; , Novosibirsk State U.; }, Lebedev Inst.; Merola, M.; }, Naples U.; Miyabayashi, K.; Mizuk, R.; Moscow, MIPT}; KACST, Riyadh}; Mussa, R.; Nakao, M.; Sokendai, Tsukuba}; Nayak, M.; Nisar, N. K.; Nishida, S.; Sokendai, Tsukuba}; Nishimura, K.; Ogawa, S.; Ono, H.;We report new measurements of the production cross sections of pairs of charged pions and kaons as a function of their fractional energies using various fractional-energy definitions. Two different fractional-energy definitions were used and compared to the conventional fractional-energy definition reported previously. The new variables aim at either identifying dihadron cross sections in terms of single-hadron fragmentation functions, or to provide a means of characterizing the transverse momentum created in the fragmentation process. The results were obtained applying the updated initial-state radiation correction used in other recent Belle publications on light-hadron production cross sections. In addition, production cross sections of single charged pions, kaons, and protons were also updated using this initial-state radiation correction. The cross sections are obtained from a $558\,{\rm fb}^{-1}$ data sample collected at the $\Upsilon(4S)$ resonance with the Belle detector at the KEKB asymmetric-energy $e^+ e^-$ collider.
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For further information contact us at helpdesk@openaire.euapps Other research productkeyboard_double_arrow_right Other ORP type 2020 Germany Funded by:EC | CERESEC| CERESIcely, John; Newton, Alice; Cristina, Sónia; Perillo, Gerardo; Turner, Eugene; Ahsan, Dewan; Cragg, Simon; Luo, Yongmin; Lu, Chen; Li, Yuan; Zhang, Haibo; Ramesh, Ramachandran; Forbes, Donald L.; Solidoro, Cosimo; Béjaoui, Béchir; Gao, Shu; Pastres, Roberto; Kelsey, Heath; Taillie, Dylan; Künzer, Claudia;add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
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Research data keyboard_double_arrow_right Dataset 2022 NetherlandsPublisher:Zenodo Tedersoo, Leho; Mikryukov, Vladimir; Zizka, Alexander; Bahram, Mohammad; Hagh-Doust, Niloufar; Anslan, Sten; Prylutskyi, Oleh; Delgado-Baquerizo, Manuel; Maestre, Fernando T.; Pärn, Jaan; Öpik, Maarja; Moora, Mari; Zobel, Martin; Espenberg, Mikk; Mander, Ülo; Khalid, Abdul Nasir; Corrales, Adriana; Agan, Ahto; Aída-M. Vasco-Palacios; Saitta, Alessandro; Rinaldi, Andrea C.; Verbeken, Annemieke; Sulistyo, Bobby P.; Tamgnoue, Boris; Furneaux, Brendan; Ritter, Camila Duarte; Nyamukondiwa, Casper; Sharp, Cathy; Marín, César; Daniyal Gohar; Darta Klavina; Dipon Sharmah; Dai, Dong Qin; Nouhra, Eduardo; Biersma, Elisabeth Machteld; Rähn, Elisabeth; Cameron, Erin K.; De Crop, Eske; Otsing, Eveli; Davydov, Evgeny A.; Albornoz, Felipe E.; Brearley, Francis Q.; Buegger, Franz; Zahn, Geoffrey; Bonito, Gregory; Hiiesalu, Inga; Barrio, Isabel C.; Heilmann-Clausen, Jacob; Ankuda, Jelena; Kupagme, John Y.; Maciá-Vicente, Jose G.; Fovo, Joseph Djeugap; Geml, József; Alatalo, Juha M.; Alvarez-Manjarrez, Julieta; Põldmaa, Kadri; Runnel, Kadri; Adamson, Kalev; Bråthen, Kari Anne; Pritsch, Karin; Tchan, Kassim I.; Kęstutis Armolaitis; Hyde, Kevin D.; Newsham, Kevin K.; Panksep, Kristel; Adebola A. Lateef; Tiirmann, Liis; Hansson, Linda; Lamit, Louis J.; Saba, Malka; Tuomi, Maria; Gryzenhout, Marieka; Bauters, Marijn; Piepenbring, Meike; Nalin Wijayawardene; Nourou S. Yorou; Kurina, Olavi; Mortimer, Peter E.; Meidl, Peter; Kohout, Petr; R. Henrik Nilsson; Puusepp, Rasmus; Drenkhan, Rein; Garibay-Orijel, Roberto; Godoy, Roberto; Alkahtani, Saad; Rahimlou, Saleh; Dudov, Sergey V.; Põlme, Sergei; Soumya Ghosh; Mundra, Sunil; Ahmed, Talaat; Netherway, Tarquin; Henkel, Terry W.; Roslin, Tomas; Nteziryayo, Vincent; Fedosov, Vladimir E.; Onipchenko, Vladimir G.; W. A. Erandi Yasanthika; Lim, Young Woon; Soudzilovskaia, Nadejda; Antonelli, Alexandre; Kõljalg, Urmas; Abarenkov, Kessy;This repository contains the data associated with the paper Tedersoo et al. (2022) Global patterns in endemicity and vulnerability of soil fungi // Global Change Biology. DOI:10.1111/gcb.16398 Fungi are highly diverse organisms and provide a wealth of ecosystem functions. However, distribution patterns and conservation needs of fungi have been very little explored compared to charismatic animals and plants. Here we assess endemicity patterns, global change vulnerability and conservation priority areas for functional groups of soil fungi based on six global surveys using a high-resolution, long-read metabarcoding approach. Endemicity of all fungi and most functional groups peaks in tropical habitats, including Amazonia, Yucatan, West-Central Africa, Sri Lanka and New Caledonia, with a negligible island effect compared with plants and animals. We also found that fungi are vulnerable mostly to drought, heat and land cover change, particularly in dry tropical regions with high human population density. Fungal conservation areas of highest priority include herbaceous wetlands, tropical forests and woodlands. We suggest that there should be more attention focused on the conservation of fungi, especially tropical root symbiotic arbuscular mycorrhizal and ectomycorrhizal fungi, unicellular early-diverging groups and macrofungi in general. Given the low overlap between endemicity of fungi and macroorganisms, but high matching in conservation needs, detailed analyses on distribution and conservation requirements are warranted for other microorganisms and soil organisms in general. This repository contains the following data associated with the publication: Supplementary tables S1 - S6 (`Tables_S1-S6.xlsx`): - Table S1. Definition of ecoregions and assignment of samples to ecoregions - Table S2. GSMc dataset used for endemicity analyses - Table S3. Dataset used for modeling endemicity values - Table S4. Dataset used for calculating and mapping vulnerability scores - Table S5. Dataset used for calculating and mapping conservation value - Table S6. Additional funding sources by authors OTU distribution by samples and ecoregions (`Data_taxon_assignment_to ecoregions.xlsx`) Gridded maps: Conservation priorities for all fungi and fungal groups - ConservationPriority_AllFungi.tif - ConservationPriority_AM.tif - ConservationPriority_EcM.tif - ConservationPriority_Moulds.tif - ConservationPriority_NonEcMAgaricomycetes.tif - ConservationPriority_OHPs.tif - ConservationPriority_Pathogens.tif - ConservationPriority_Unicellular.tif - ConservationPriority_Yeasts.tif The average vulnerability of all fungi and fungal groups and the model uncertainty estimates - AverageVulnerability_AllFungi.tif - AverageVulnerability_AM.tif - AverageVulnerability_EcM.tif - AverageVulnerability_Moulds.tif - AverageVulnerability_NonEcMAgaricomycetes.tif - AverageVulnerability_OHPs.tif - AverageVulnerability_Pathogens.tif - AverageVulnerabilityUncertainty_AllFungi.tif - AverageVulnerabilityUncertainty_AM.tif - AverageVulnerabilityUncertainty_EcM.tif - AverageVulnerabilityUncertainty_Moulds.tif - AverageVulnerabilityUncertainty_NonEcMAgaricomycetes.tif - AverageVulnerabilityUncertainty_OHPs.tif - AverageVulnerabilityUncertainty_Pathogens.tif - AverageVulnerabilityUncertainty_Unicellular.tif - AverageVulnerabilityUncertainty_Yeasts.tif - AverageVulnerability_Unicellular.tif - AverageVulnerability_Yeasts.tif The relative importance of predicted vulnerability of all fungi - RelativeImportanceOfVulnerability_AllFungi.tif Vulnerability to drought, heat, and land cover change for all fungi - Vulnerability_AllFungi_Heat-Drought-LandCoverChange.tif - VulnerabilityUncertainty_AllFungi_Heat-Drought-LandCoverChange.tif Human footprint index based on the Land-Use Harmonisation (LUH2; Hurtt et al., 2020, doi:10.5194/gmd-13-5425-2020) - `LandCoverChange_1960-2015.tif` MD5 checksums for all files (`MD5.md5`) Fungal groups: - AM, arbuscular mycorrhizal fungi (including all Glomeromycota but excluding all Endogonomycetes) - EcM, ectomycorrhizal fungi (excluding dubious lineages) - NonEcMAgaricomycetes, non-EcM Agaricomycetes (mostly saprotrophic fungi with usually macroscopic fruiting bodies) - Moulds (including Mortierellales, Mucorales, Umbelopsidales and Aspergillaceae and Trichocomaceae of Eurotiales and Trichoderma of Hypocreales) - Putative pathogens (including plant, animal and fungal pathogens as primary or secondary lifestyles) - OHPs, opportunistic human parasites (excluding Mortierellales) - Yeasts (excluding dimorphic yeasts) - Unicellular, other unicellular (non-yeast) fungi (including chytrids, aphids, rozellids and other early-diverging fungal lineages) Detailed processing steps can be found here: https://github.com/Mycology-Microbiology-Center/Fungal_Endemicity_and_Vulnerability This repository contains the data associated with the paper Tedersoo et al. (2022) Global patterns in endemicity and vulnerability of soil fungi // Global Change Biology. DOI:10.1111/gcb.16398 Fungi are highly diverse organisms and provide a wealth of ecosystem functions. However, distribution patterns and conservation needs of fungi have been very little explored compared to charismatic animals and plants. Here we assess endemicity patterns, global change vulnerability and conservation priority areas for functional groups of soil fungi based on six global surveys using a high-resolution, long-read metabarcoding approach. Endemicity of all fungi and most functional groups peaks in tropical habitats, including Amazonia, Yucatan, West-Central Africa, Sri Lanka and New Caledonia, with a negligible island effect compared with plants and animals. We also found that fungi are vulnerable mostly to drought, heat and land cover change, particularly in dry tropical regions with high human population density. Fungal conservation areas of highest priority include herbaceous wetlands, tropical forests and woodlands. We suggest that there should be more attention focused on the conservation of fungi, especially tropical root symbiotic arbuscular mycorrhizal and ectomycorrhizal fungi, unicellular early-diverging groups and macrofungi in general. Given the low overlap between endemicity of fungi and macroorganisms, but high matching in conservation needs, detailed analyses on distribution and conservation requirements are warranted for other microorganisms and soil organisms in general.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Research , Preprint 2020 GermanyPublisher:Deutsches Elektronen-Synchrotron, DESY, Hamburg Funded by:EC | STRONG-2020, ARC | Discovery Projects - Gran..., FWF | Constraining Physics Beyo... +3 projectsEC| STRONG-2020 ,ARC| Discovery Projects - Grant ID: DP170102389 ,FWF| Constraining Physics Beyond Standard Model with the Decay Bs0 -> tau+ tau- ,ARC| Discovery Projects - Grant ID: DP180102629 ,ARC| Future Fellowships - Grant ID: FT130100303 ,ARC| Discovery Projects - Grant ID: DP150103061Seidl, R.; Adachi, I.; Behera, P.; }, Niigata U.; Oskin, P.; Pakhlov, P.; }, Moscow Phys. Eng. Inst.; Pakhlova, G.; Moscow, MIPT}; Pardi, S.; Park, S.-H.; Patra, S.; Paul, S.; Belous, K.; Pedlar, T. K.; Piilonen, L. E.; Podobnik, T.; Stefan Inst., Ljubljana}; Popov, V.; Moscow, MIPT}; Prencipe, E.; Prim, M. T.; Ritter, M.; Rout, N.; Bennett, J.; Russo, G.; Sahoo, D.; Sakai, Y.; Sokendai, Tsukuba}; Sandilya, S.; Santelj, L.; Sanuki, T.; Savinov, V.; Schneider, O.; Schnell, G.; Bhuyan, B.; IKERBASQUE, Bilbao}; Schwanda, C.; Seino, Y.; Sevior, M. E.; Shapkin, M.; Shebalin, V.; Shiu, J.-G.; Shwartz, B.; }, Novosibirsk State U.; Solovieva, E.; Biswal, J.; Starič, M.; Stottler, Z. S.; Sumihama, M.; Sumiyoshi, T.; Sutcliffe, W.; Tanida, K.; Tenchini, F.; Uchida, M.; Uglov, T.; Moscow, MIPT}; Bračko, M.; Unno, Y.; Usov, Y.; }, Novosibirsk State U.; Van Tonder, R.; Varner, G.; Vorobyev, V.; , Novosibirsk State U.; }, Lebedev Inst.; Vossen, A.; Wang, C. H.; Stefan Inst., Ljubljana}; Wang, M.-Z.; Wang, P.; Watanuki, S.; Won, E.; Xu, X.; Yang, S. B.; Yelton, J.; Zhang, Z. P.; Zhilich, V.; }, Novosibirsk State U.; Browder, T. E.; Zhukova, V.; Belle Collaboration; Campajola, M.; }, Naples U.; Sokendai, Tsukuba}; Cao, L.; Červenkov, D.; Chang, M.-C.; Chekelian, V.; Chen, A.; Chilikin, K.; Cho, K.; Choi, Y.; Choudhury, S.; Cinabro, D.; Aihara, H.; Cunliffe, S.; De Nardo, G.; }, Naples U.; Di Capua, F.; }, Naples U.; Eidelman, S.; , Novosibirsk State U.; }, Lebedev Inst.; Epifanov, D.; }, Novosibirsk State U.; Asner, D. M.; Fast, J. E.; Ferber, T.; Fulsom, B. G.; Gaur, V.; Garmash, A.; }, Novosibirsk State U.; Giri, A.; Goldenzweig, P.; Hayasaka, K.; Hayashii, H.; Aulchenko, V.; Hou, W.-S.; Huang, K.; Inami, K.; Ishikawa, A.; Sokendai, Tsukuba}; Iwasaki, M.; Iwasaki, Y.; Jacobs, W. W.; Jia, S.; Jin, Y.; }, Novosibirsk State U.; Joo, K. K.; Karyan, G.; Kim, D. Y.; Kim, S. H.; Kodyš, P.; Korpar, S.; Stefan Inst., Ljubljana}; Križan, P.; Stefan Inst., Ljubljana}; Kroeger, R.; Aushev, T.; Krokovny, P.; }, Novosibirsk State U.; Kuzmin, A.; }, Novosibirsk State U.; Kwon, Y.-J.; Lee, S. C.; Li, Y. B.; Li Gioi, L.; Libby, J.; MacQueen, C.; Badhrees, I.; Masuda, M.; Matsuda, T.; Matvienko, D.; , Novosibirsk State U.; }, Lebedev Inst.; Merola, M.; }, Naples U.; Miyabayashi, K.; Mizuk, R.; Moscow, MIPT}; KACST, Riyadh}; Mussa, R.; Nakao, M.; Sokendai, Tsukuba}; Nayak, M.; Nisar, N. K.; Nishida, S.; Sokendai, Tsukuba}; Nishimura, K.; Ogawa, S.; Ono, H.;We report new measurements of the production cross sections of pairs of charged pions and kaons as a function of their fractional energies using various fractional-energy definitions. Two different fractional-energy definitions were used and compared to the conventional fractional-energy definition reported previously. The new variables aim at either identifying dihadron cross sections in terms of single-hadron fragmentation functions, or to provide a means of characterizing the transverse momentum created in the fragmentation process. The results were obtained applying the updated initial-state radiation correction used in other recent Belle publications on light-hadron production cross sections. In addition, production cross sections of single charged pions, kaons, and protons were also updated using this initial-state radiation correction. The cross sections are obtained from a $558\,{\rm fb}^{-1}$ data sample collected at the $\Upsilon(4S)$ resonance with the Belle detector at the KEKB asymmetric-energy $e^+ e^-$ collider.
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more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euapps Other research productkeyboard_double_arrow_right Other ORP type 2020 Germany Funded by:EC | CERESEC| CERESIcely, John; Newton, Alice; Cristina, Sónia; Perillo, Gerardo; Turner, Eugene; Ahsan, Dewan; Cragg, Simon; Luo, Yongmin; Lu, Chen; Li, Yuan; Zhang, Haibo; Ramesh, Ramachandran; Forbes, Donald L.; Solidoro, Cosimo; Béjaoui, Béchir; Gao, Shu; Pastres, Roberto; Kelsey, Heath; Taillie, Dylan; Künzer, Claudia;add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=od______1640::08cd833d40a07a1d2e46aa8082477d24&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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