Moving on up How youth work raises achievement and promotes social inclusion

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Comparação da temperatura do ar obtida por estação meteorológica convencional e automática Comparison of the air temperature obtained by conventional and automatic meteorological stations

Este trabalho teve como objetivos comparar os dados da temperatura do ar (temperatura média e extrema), obtidos em uma Estação Meteorológica Convencional com os de uma Estação Meteorológica Automática, e avaliar as estimativas da temperatura média diária do ar por diferentes métodos. As estações meteorológicas estavam localizadas na Estação Agroclimatológica de Pelotas, Capão do Leão (31º52' S, 52º21' W e 13,2 m), Rio Grande do Sul, Brasil. A série de cada elemento foi obtida simultaneamente na Estação Automática e na Estação Convencional durante o período de 22/12/2005 a 21/12/2006. Existe alta equivalência para as medidas das temperaturas extremas e das estimativas das temperaturas médias entre as Estações Meteorológicas Convencional e Automática, independente do método utilizado para o cálculo da temperatura média do ar. O termohigrógrafo mede, com alta precisão, as temperaturas extremas do ar. Verificam-se pequenas diferenças nos horários de ocorrência das temperaturas mínimas e máximas entre as Estações Meteorológicas Convencional e Automática. A análise dos dados indica que a substituição da Estação Meteorológica Convencional pela Estação Meteorológicas Automática, na região Sul do Rio Grande do Sul, não acarreta mudanças significativas na série de dados de temperatura do ar.<br>The objective of this work was to compare the air temperature data (average and extreme) obtained by a Conventional Meteorological Station and an Automatic Meteorological Station and evaluate different methods of estimating the average air temperature. The Meteorological Stations were located at the Agroclimatological Station of Pelotas, Capão do Leão (31º52' S, 52º21' W and 13,2 m), Rio Grande do Sul, Brazil. The data series were collected simultaneously in Conventional Meteorological Station and Automatic Meteorological Station during the period from 12/22/2005 to 12/21/2006. There is high equivalence in the measures of extreme temperature and average air temperature obtained from the Conventional and Automatic Meteorological Station, independently of the methods used for the calculation of average air temperature. The termo-hygrograph measures with high precision the extreme air temperature. There are small differences in the times of occurrence of the minimum and maximum temperatures between Conventional and Automatic Meteorological Stations. The data analysis indicated that the substitution of the Conventional Meteorological Station by Automatic Meteorological Station in Southern of Rio Grande do Sul does not changes significantly the air temperature data series

Replication Data for: Design and validation of a 90K SNP genotyping assay for the Water Buffalo (Bubalus bubalis)

This .zip file contains 3 files: 2 PLINK files containing the genotype information and one residual file containing the phenotypic information used for this paper. - genabelLATT.tped -> Transposed ped file in PLINK format. Genotypes are already edited for MAF as declared in the paper. - genabelLATT.tfam -> Transposed map file in PLINK format, containing 529 individuals. - RESIDUALS.txt -> File containing the residuals used for the GWAS in this paper. The model used to obtain this data from raw files was: Lact_record ~ Farm + CalvYear + CalvMonth + CalvingNumber + Age + Polygenic_effect + e The "e" term was then used as dependent variable in a GWAS using qtscore function in GENABEL

Replication Data for: Design and validation of a 90K SNP genotyping assay for the Water Buffalo (Bubalus bubalis)

This .zip file contains 3 files: 2 PLINK files containing the genotype information and one residual file containing the phenotypic information used for this paper. - genabelLATT.tped -> Transposed ped file in PLINK format. Genotypes are already edited for MAF as declared in the paper. - genabelLATT.tfam -> Transposed map file in PLINK format, containing 529 individuals. - RESIDUALS.txt -> File containing the residuals used for the GWAS in this paper. The model used to obtain this data from raw files was: Lact_record ~ Farm + CalvYear + CalvMonth + CalvingNumber + Age + Polygenic_effect + e The "e" term was then used as dependent variable in a GWAS using qtscore function in GENABEL

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