Neotropical Freshwater Fishes: A dataset of occurrence and abundance of freshwater fishes in the Neotropics

The Neotropical region hosts 4225 freshwater fish species, ranking first among the world's most diverse regions for freshwater fishes. Our NEOTROPICAL FRESHWATER FISHES data set is the first to produce a large-scale Neotropical freshwater fish inventory, covering the entire Neotropical region from Mexico and the Caribbean in the north to the southern limits in Argentina, Paraguay, Chile, and Uruguay. We compiled 185,787 distribution records, with unique georeferenced coordinates, for the 4225 species, represented by occurrence and abundance data. The number of species for the most numerous orders are as follows: Characiformes (1289), Siluriformes (1384), Cichliformes (354), Cyprinodontiformes (245), and Gymnotiformes (135). The most recorded species was the characid Astyanax fasciatus (4696 records). We registered 116,802 distribution records for native species, compared to 1802 distribution records for nonnative species. The main aim of the NEOTROPICAL FRESHWATER FISHES data set was to make these occurrence and abundance data accessible for international researchers to develop ecological and macroecological studies, from local to regional scales, with focal fish species, families, or orders. We anticipate that the NEOTROPICAL FRESHWATER FISHES data set will be valuable for studies on a wide range of ecological processes, such as trophic cascades, fishery pressure, the effects of habitat loss and fragmentation, and the impacts of species invasion and climate change. There are no copyright restrictions on the data, and please cite this data paper when using the data in publications.Fil: Tonella, Lívia Helena. Universidade Estadual de Maringá. Departamento de Engenharia Química. Laboratorio de Pesquisa.; BrasilFil: Ruaro, Renata. Universidade Estadual de Maringá. Departamento de Engenharia Química. Laboratorio de Pesquisa.; BrasilFil: Daga, Vanessa Salete. Universidade Federal do Paraná; BrasilFil: Garcia, Diego Azevedo Zoccal. Universidade Estadual de Londrina; BrasilFil: Barroso Vitorino Júnior, Oscar. Instituto Natureza do Tocantins-Naturatins; BrasilFil: Lobato de Magalhães, Tatiana. Universidad Autonoma de Queretaro.; MéxicoFil: Reis, Roberto Esser. Museu de Ciências e Tecnologia; BrasilFil: Di Dario, Fabio. Universidade Federal do Rio de Janeiro; BrasilFil: Petry, Ana Cristina. Universidade Federal do Rio de Janeiro; BrasilFil: Mincarone, Michael Maia. Universidade Federal do Rio de Janeiro; BrasilFil: Assis Montag, Luciano Fogaça. Universidade Federal do Pará; BrasilFil: Pompeu, Paulo Santos. Universidade Federal de Lavras; BrasilFil: Teixeira, Adonias Aphoena Martins. Universidade Estadual da Paraiba; BrasilFil: Carmassi, Alberto Luciano. Universidade Federal de Sao Paulo; Brasil. Universidade Federal do São Carlos; BrasilFil: Sánchez, Alberto J.. Universidad Juárez Autónoma de Tabasco; MéxicoFil: Giraldo Pérez, Alejandro. Universidade Federal de Minas Gerais; BrasilFil: Bono, Alessandra. Universidad de Vale do Rio dos Sinos; BrasilFil: Datovo, Aléssio. Universidade de Sao Paulo; BrasilFil: Flecker, Alexander S.. Cornell University; Estados UnidosFil: Sanches, Alexandra. Universidade de Sao Paulo; Brasil. Universidade Federal do São Carlos; BrasilFil: Godinho, Alexandre Lima. Universidade Federal de Minas Gerais; BrasilFil: Matthiensen, Alexandre. Embrapa Suínos e Aves; BrasilFil: Peressin, Alexandre. Universidade Federal de Lavras; BrasilFil: Silva Hilsdorf, Alexandre Wagner. Universidade de Mogi das Cruzes; BrasilFil: Barufatti, Alexéia. Universidade Federal da Grande Dourados; BrasilFil: Hirschmann, Alice. Universidade Federal do Pampa; BrasilFil: Jung, Aline. Universidade Do Estado de Mato Grosso (unemat);Fil: Cruz Ramírez, Allan K.. Universidad Juárez Autónoma de Tabasco; MéxicoFil: Braga Silva, Alline. Instituto Federal de Goiás; BrasilFil: Cunico, Almir Manoel. Universidade Federal do Paraná; BrasilFil: Tagliaferro, Marina Beatriz. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Austral de Investigaciones Científicas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Diversidad y Ecología Animal. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto de Diversidad y Ecología Animal; Argentin

The genus Rineloricaria Bleeker, 1862 in eastern Rio Grande do Sul, Brasil, with descriptions of six new species (Pisces, Siluriformes, Loricariidae)

This paper deals with those Rineloricaria species occurring in the eastern Rio Grande do Sul (Brasil) - except the Uruguay R iver system. Descriptions, illustrations and brief comments on ecology and behavior are presented on: R. cadeae (Hensel, 1868), R. strigilata (Hensel , 1868), R. longicauda Reis, 1983, R. quadrensis Reis, 1983, R. maquinenses sp. n., R. malabarbai sp. n., R. heterogaster sp. n., R. isocuspis sp. n., R. baliola sp. n. e R. intermedia sp. n. Comments on the status of R. lima (Kner, 1854) are presented. A map of distribution and a key to the species studied are also given.Este trabalho estuda as espécies do gênero Rineloricaria que ocorrem na parte leste do Rio Grande do Sul (Brasi 1) - exceto a bacia do Rio Uruguai. Descrições, ilustrações e breves comentários sobre ecologia e comportamento das seguintes espécies são apresentados: R. cadeae (Hensel, 1868), R. strigilata (Hensel, 1868), R. longicauda Reis, 1983, R. quadrensis Reis, 1983, R. maquinenses sp. n., R. malabarbai sp. n., R. heterogaster sp. n., R. isocuspis sp. n., R. baliola sp. n. e R. intermedia sp. n. Comentários sobre o status de R. lima (Kner, 1854), um mapa de distribuição e uma chave para as espécies estudadas são também apresentados

The genus Rineloricaria Bleeker, 1862 in eastern Rio Grande do Sul, Brasil, with descriptions of six new species (Pisces, Siluriformes, Loricariidae)

This paper deals with those Rineloricaria species occurring in the eastern Rio Grande do Sul (Brasil) - except the Uruguay R iver system. Descriptions, illustrations and brief comments on ecology and behavior are presented on: R. cadeae (Hensel, 1868), R. strigilata (Hensel , 1868), R. longicauda Reis, 1983, R. quadrensis Reis, 1983, R. maquinenses sp. n., R. malabarbai sp. n., R. heterogaster sp. n., R. isocuspis sp. n., R. baliola sp. n. e R. intermedia sp. n. Comments on the status of R. lima (Kner, 1854) are presented. A map of distribution and a key to the species studied are also given.Este trabalho estuda as espécies do gênero Rineloricaria que ocorrem na parte leste do Rio Grande do Sul (Brasi 1) - exceto a bacia do Rio Uruguai. Descrições, ilustrações e breves comentários sobre ecologia e comportamento das seguintes espécies são apresentados: R. cadeae (Hensel, 1868), R. strigilata (Hensel, 1868), R. longicauda Reis, 1983, R. quadrensis Reis, 1983, R. maquinenses sp. n., R. malabarbai sp. n., R. heterogaster sp. n., R. isocuspis sp. n., R. baliola sp. n. e R. intermedia sp. n. Comentários sobre o status de R. lima (Kner, 1854), um mapa de distribuição e uma chave para as espécies estudadas são também apresentados

Neotropical freshwater fisheries : A dataset of occurrence and abundance of freshwater fishes in the Neotropics

The Neotropical region hosts 4225 freshwater fish species, ranking first among the world's most diverse regions for freshwater fishes. Our NEOTROPICAL FRESHWATER FISHES data set is the first to produce a large-scale Neotropical freshwater fish inventory, covering the entire Neotropical region from Mexico and the Caribbean in the north to the southern limits in Argentina, Paraguay, Chile, and Uruguay. We compiled 185,787 distribution records, with unique georeferenced coordinates, for the 4225 species, represented by occurrence and abundance data. The number of species for the most numerous orders are as follows: Characiformes (1289), Siluriformes (1384), Cichliformes (354), Cyprinodontiformes (245), and Gymnotiformes (135). The most recorded species was the characid Astyanax fasciatus (4696 records). We registered 116,802 distribution records for native species, compared to 1802 distribution records for nonnative species. The main aim of the NEOTROPICAL FRESHWATER FISHES data set was to make these occurrence and abundance data accessible for international researchers to develop ecological and macroecological studies, from local to regional scales, with focal fish species, families, or orders. We anticipate that the NEOTROPICAL FRESHWATER FISHES data set will be valuable for studies on a wide range of ecological processes, such as trophic cascades, fishery pressure, the effects of habitat loss and fragmentation, and the impacts of species invasion and climate change. There are no copyright restrictions on the data, and please cite this data paper when using the data in publications

Brazilian Flora 2020: Leveraging the power of a collaborative scientific network

International audienceThe shortage of reliable primary taxonomic data limits the description of biological taxa and the understanding of biodiversity patterns and processes, complicating biogeographical, ecological, and evolutionary studies. This deficit creates a significant taxonomic impediment to biodiversity research and conservation planning. The taxonomic impediment and the biodiversity crisis are widely recognized, highlighting the urgent need for reliable taxonomic data. Over the past decade, numerous countries worldwide have devoted considerable effort to Target 1 of the Global Strategy for Plant Conservation (GSPC), which called for the preparation of a working list of all known plant species by 2010 and an online world Flora by 2020. Brazil is a megadiverse country, home to more of the world's known plant species than any other country. Despite that, Flora Brasiliensis, concluded in 1906, was the last comprehensive treatment of the Brazilian flora. The lack of accurate estimates of the number of species of algae, fungi, and plants occurring in Brazil contributes to the prevailing taxonomic impediment and delays progress towards the GSPC targets. Over the past 12 years, a legion of taxonomists motivated to meet Target 1 of the GSPC, worked together to gather and integrate knowledge on the algal, plant, and fungal diversity of Brazil. Overall, a team of about 980 taxonomists joined efforts in a highly collaborative project that used cybertaxonomy to prepare an updated Flora of Brazil, showing the power of scientific collaboration to reach ambitious goals. This paper presents an overview of the Brazilian Flora 2020 and provides taxonomic and spatial updates on the algae, fungi, and plants found in one of the world's most biodiverse countries. We further identify collection gaps and summarize future goals that extend beyond 2020. Our results show that Brazil is home to 46,975 native species of algae, fungi, and plants, of which 19,669 are endemic to the country. The data compiled to date suggests that the Atlantic Rainforest might be the most diverse Brazilian domain for all plant groups except gymnosperms, which are most diverse in the Amazon. However, scientific knowledge of Brazilian diversity is still unequally distributed, with the Atlantic Rainforest and the Cerrado being the most intensively sampled and studied biomes in the country. In times of “scientific reductionism”, with botanical and mycological sciences suffering pervasive depreciation in recent decades, the first online Flora of Brazil 2020 significantly enhanced the quality and quantity of taxonomic data available for algae, fungi, and plants from Brazil. This project also made all the information freely available online, providing a firm foundation for future research and for the management, conservation, and sustainable use of the Brazilian funga and flora

Description and performance of track and primary-vertex reconstruction with the CMS tracker

A description is provided of the software algorithms developed for the CMS tracker both for reconstructing charged-particle trajectories in proton-proton interactions and for using the resulting tracks to estimate the positions of the LHC luminous region and individual primary-interaction vertices. Despite the very hostile environment at the LHC, the performance obtained with these algorithms is found to be excellent. For tbar t events under typical 2011 pileup conditions, the average track-reconstruction efficiency for promptly-produced charged particles with transverse momenta of p(T) > 0.9GeV is 94% for pseudorapidities of |η| < 0.9 and 85% for 0.9 < |η| < 2.5. The inefficiency is caused mainly by hadrons that undergo nuclear interactions in the tracker material. For isolated muons, the corresponding efficiencies are essentially 100%. For isolated muons of p(T) = 100GeV emitted at |η| < 1.4, the resolutions are approximately 2.8% in p(T), and respectively, 10μm and 30μm in the transverse and longitudinal impact parameters. The position resolution achieved for reconstructed primary vertices that correspond to interesting pp collisions is 10–12μm in each of the three spatial dimensions. The tracking and vertexing software is fast and flexible, and easily adaptable to other functions, such as fast tracking for the trigger, or dedicated tracking for electrons that takes into account bremsstrahlung

Determination of the top-quark pole mass and strong coupling constant from the ttbar production cross section in pp collisions at sqrt(s) = 7 TeV

The inclusive cross section for top-quark pair production measured by the CMS experiment in proton-proton collisions at a center-of-mass energy of 7 TeV is compared to the QCD prediction at next-to-next-to-leading order with various parton distribution functions to determine the top-quark pole mass, mtpole, or the strong coupling constant, alphaS. With the parton distribution function set NNPDF2.3, a pole mass of 176.7 +3.8 -3.4 GeV is obtained when constraining alphaS at the scale of the Z boson mass, mZ, to the current world average. Alternatively, by constraining mtpole to the latest average from direct mass measurements, a value of alphaS(mZ) = 0.1151 +0.0033 -0.0032 is extracted. This is the first determination of alphaS using events from top-quark production