Database of rainfall erosivity factor for 141 locations in Brazil.

Soil erosion is a serious agricultural and environmental problem considered as a threat to sustainable development around the world. Rainfall is the primary cause of soil erosion, what leads the knowledge of its potential to cause soil erosion (rainfall erosivity – R-factor) to be a valuable tool for the design of land conservation best practices. As Brazil has a lack of information about rainfall erosivity, the present paper has determined the R-factor of 141 pluviographic stations distributed over Brazilian territory. Initially, erosive rainfalls were identified, and then the EI30 erosivity index was used to obtain the rainfall erosivity values. Regression models for the estimation of rainfall erosivity using daily rainfall data were established based on the correlation between the monthly average values of erosivity and the modified Fournier index. Results showed that the annual rainfall erosivity in the Brazilian stations analyzed ranged from 368.7 to 16,850.6 MJ mm ha-1 h-1 year-1. The results presented help to expand information about the spatial distribution of rainfall erosivity in Brazil, contributing to better conservation planning of land use.

Database of extreme waves generated during the passage of a cold front in Rio Grande do Sul coast, southern Brazil

This datapaper supports the use of a database generated from wavefield simulations with the WAVEWATCH III model in waters off the coast of Rio Grande do Sul in the South Atlantic Ocean. In the WAVEWATCH III simulations, three domains are generated as a part of a numerical experiment to set up the best configuration. This database includes all input and output files for the two best-fit simulations. Bathymetry and wind files at 10 m above the surface are available as input files. The period of simulation and non-stationary wind data input corresponds to March 22-28, 2016. The date was chosen because it is related to the passage of a cold front through the area of interest. The different parameterizations used and with which good results were obtained in the simulations with the model are also described. The WAVEWATCH III output files contain the spatial and temporal distribution of the wavefield in the area of interest, as well as the outputs for point locations consistent with the location of on-site records. For the two best-fit domains, the following variables were obtained: mean wind speed (m s-1), sea-air temperature difference (°C), wave height (m), mean wavelength (m), mean wave period (s), mean wave direction (degrees), mean directional propagation (degrees) and friction velocity (m s-1). All these variables are provided in NetCDF format and will serve as a reference for future wave modeling work in the region, and the results will be able to be compared with those obtained in the database.

Fitnome Catalog: a resource for physical exercise genetics data mining

Physical exercise (PE) in regularity is a well-characterized non-pharmaceutical intervention for good health and welfare. Molecular mechanisms regulated in response to PE can be scrutinized, with molecular biology, genomics, transcriptomics, and bioinformatics being inserted into exercise physiology studies. From a biotechnological perspective, omic datasets about physical exercise gene expression help identify phenotypic, genetic variance for different physical training phenotypes. Extensive lists of genes regulated by PE were dispersed within the literature, and the Fitnome Catalog (FitC) was created to reach some systematization of this information. Manual and online text-mining tools generated this dataset in PE human gene expression articles (2003-2014) with microarray, RNA-Seq, RT-PCR, and genotyping methods. Spreadsheets were developed with information on exercise protocol, experimental design, gender, age, number of individuals, analytical approach, gene ID, fold change and statistical data, and genetic architecture, encompassing 21 columns. The produced dataset (with 5,147 genes and 101,343 data points) provides experimental design, gene expression information, gene attributes, and references. Functional categorization of the FitC dataset and standardized information on PE-expressed genes were presented.

Database of the historical series of fisheries production in the middle Madeira River region, southwest of the Amazon, from 2001 to 2013

The Amazon is very important regarding the continental extractive fishing as it has the greatest diversity of freshwater fish in the world. Some factors can contribute to identify significant changes in fish production, such as characterization based on common names, and synonyms or classifications only at the genus level. This creates noise in different types of analyzes and mistakes in determining effective productions, as well as levels of exploitation for management. Thus, this study aims to demonstrate the variation in fish production over the years 2001 and 2013, using control data from the fishing colony "Dr. Renato Pereira Gonçalves Z-31" in the municipality of Humaitá, southern Amazonas. These data were analyzed by collaborators from the Laboratory of Ichthyology and Fisheries Management of the Madeira River Valley, at the Federal University of Amazonas. The fish landing monitoring allowed the determination of the species caught in the regional fishery and evaluated the effect of the hydrological level and the pre- and post-installation periods of the Santo Antônio and Jirau HPPs in Rondônia, on the total production. The data set showed the significant decrease in fish production between 2008 and 2013. Among the factors that explain the observed changes are the mistakes in determining the effective production due to the lack of criteria in the grouping of many species, the absence of regulations, such as the "Portaria IBAMA Nº 48" which was created only in 2007, in addition to the installation period of the HPPs on the Madeira River. It was also possible to verify the effect of seasonality through hydrological quotas on fish production, with the highest values observed in July, August and September of the years analyzed.

Functional DNA annotation from a preliminary de novo genome assembly of Brycon orbignyanus, an endangered Neotropical migratory fish

The predicted sequence for thousands of genes revealed by a preliminary low-coverage genome assembly is presented for Brycon orbignyanus, an endangered migratory fish. Neotropical migratory fish stocks have been drastically reduced due to accumulated environmental pressure. Brycon orbignyanus, once one of the main fisheries species in the Platine Basin, is now very rare in nature and relies on spawning programs and a few well preserved or still untouched sites. The use of high-throughput DNA sequencing is still untapped regarding the functional genome information from B. orbignyanus. In order to help bridging this gap, we present a dataset resulting from the first functional annotation from a de novo genome assembly for B. orbignyanus, from short reads (90 bp), obtained by the HiSeq 2000 platform (Illumina). The annotation was performed for scaffolds over 10 kb using the Maker pipeline, with reference sequences taken from the NCBI for the Characiformes order. This annotation resulted in the prediction of 12,734 genes, classified with the aid of PANTHER. The data presented here can facilitate the development of basic research in this threatened species, along with practical biotechnological tools for different areas, such as commercial and environmental fish spawning operations (e.g. hormonal induction, growth) and human health.

effect of short-term meteorological disturbances on the submerged aquatic vegetation and associated fauna in the Patos Lagoon estuary, southern Brazil

Occluded fronts are naturally cyclogenic areas that have been intensified by global warming. Studies evaluating the effects of occluded fronts in the submerged aquatic vegetation (SAV) and its associated fauna in shallow estuarine areas may provide insights on the impacts of climate change-induced extreme weather events on coastal ecosystems functioning. The present dataset describes data on benthic fauna and flora in the Patos Lagoon Estuary (PLE), in southern Brazil, seasonally obtained during intense occluded fronts. Using a hierarchical sample design, based on Beyond BACI protocols (Before/After and Control/Impact), fauna and flora were sampled before and after four occluded fronts passage throughout 2019.Three habitats were sampled: SAV Meadow, SAV Edge and adjacent Sandflat. A total of 432 macrozoobenthic samples (216 samples for stratum); 216 samples for bellow and aboveground biomass, vegetation coverage, canopy height and marine macrophytes morphology; 144 samples by sedimentology and organic matter; 72 water column depth measurements; and 8 temperature and salinity measurements were collected during the study period. The data is available at the Global Biodiversity Information Facility (GBIF), in Darwin Core standard format (DwC), organized according to the OBIS-ENV-DATA model, with CC-BY-NC-4-0 license for use. The present dataset adds to the comprehension of the temporal variability of estuarine benthic communities in subtropical systems, and how short-term meteorological process can affect zoo and fitobenthic communities in the context of climate changes.

Dados georreferenciados da pandemia de COVID-19 para o estado do Rio Grande do Sul

Nesta contribuição descrevemos como os dados referente ao número de casos positivos para COVID-19, reportados em cada um dos 21 agrupamentos estabelecidos pela secretaria de saúde pública do estado do Rio Grande do Sul (RS), entre os meses de Março de 2020 e Junho de 2021, são obtidos, georreferenciados e utilizados como suporte para a modelagem matemática proposta, a qual descreve de maneira preditiva a evolução da COVID-19 no estado. Tal conjunto de dados epidemiológicos, bem como as informações da progressão da COVID-19 provenientes da modelagem matemática são armazenadas em um banco de dados como parte do projeto “Exactum - Núcleo Transdisciplinar de Teoria, Modelagem, Tecnologia e Educação de Combate a Surtos, Endemias, Epidemias e Pandemias”

Giant otter (Pteronura brasiliensis): a database of specimens held in major Brazilian zoological collections

This dataset compiles information on giant otter (Pteronura brasiliensis) specimens housed in the major zoological collections of Brazil. We have personally examined the specimens, which constitute of skins, crania, and partial skeletons. We compiled information on collector, date, and locality of the specimens. A total of 56 giant otter specimens housed in six zoological collections were located. Of this total, 12 specimens do not have associated locality information. Of special relevance are the specimens from the Brazilian state of Rio Grande do Sul, Minas Gerais, and São Paulo, as they document the presence of the giant otter in the Atlantic rainforest, where it is now extirpated. Our dataset may be used in studies on distribution (past and present) of the species, and to delineate conservation policies of the giant otter. The specimens from the Atlantic rainforest may be used in museomics analyses, as they may represent lost haplotypes of P. brasiliensis.

Banco de dados das aves amostradas no Parque Nacional Saint-Hilaire/Lange e entorno em 2012 e 2013, Floresta Atlântica no Litoral do Paraná.

Neste estudo, apresentamos os dados de amostragens das aves registradas no Parque Nacional Saint Hilaire/Lange e em áreas de seu entorno (no município de Matinhos, Paraná). Os dados foram coletados em florestas submontana das encostas, abaixo de 200m de altitude, em quatro expedições de campo (1–13 de outubro 2012, 7–17 de dezembro 2012, 19–27 de março 2013 e 18–26 de julho 2013). Foram usadas 30 redes de neblina para as capturas (2 grupos de 15 redes de 12m, malha 30cm), abertas em dois dias consecutivos em cada área (total 5400h/redes). Ainda foram registradas as aves em 184 pontos de escuta (10 minutos, raio 50m) feitos próximos as áreas amostradas. Foram capturados 1666 indivíduos de 98 espécies (destes, 416 foram recapturados). Nos pontos de escuta, foram registrados 2051 indivíduos de 143 espécies. As espécies mais capturadas foram Turdus albicollis, Ramphodon naevius, Chiroxiphia caudata, Thalurania glaucopis e Tachyphonus coronatus. Nos pontos de escuta, as espécies mais frequentemente registradas foram Tangara cyanocephala, Basileuterus culicivorus, Turdus flavipes, Chiroxiphia caudata e Ramphodon naevius. A avifauna ocorrente nas áreas modificadas no entorno do Parque é influenciada pela matriz e pela estrutura local da vegetação. O presente estudo fornece dados da abundância e riqueza de aves para uma região pouco estudada e de grande diversidade biológica, permitindo avaliar a distribuição de aves e as áreas no entorno do Parque Nacional Saint Hilaire/Lange. Essas informações podem ser utilizadas em futuros estudos e ações conservacionistas na área.

Data analysis reveals that extreme events have increased the flood inundations in the Taquari River´s Valley, southern Brazil

Flood inundations represent more than 62% of the deaths caused by natural disasters in Brazil. The dataset comprises the records of the Encantado´s pluviometric station, a municipality located beside the margin of the Taquari River in southern Brazil, which comprises the rainfall time series (n = 36,466) over 78 years, from April 1943 to December 2020. Complementary datasets also include the annual volume of precipitation per year and the level reached by the Taquari River during 44 flood inundations since 1941. The number of events is subsampled because only 32 years have the complete record of the river level. Three of the five major flood inundations at Encantado occurred after 2001, and the more severe flood recorded the maximum level of the Taquari River (20,27 meters) on July 8th, 2020. Thirty-four percent of all flood inundations in the city were recorded between 2011 and 2020. The months of July to October record 70% of all the events, but there is no record of floods in February and December throughout the data series. The human occupation of the floodplain has been fast in the last decades, and most of the urban area has a potential risk of being affected by flood inundations. Moreover, extreme rainfall events and flood events have been more frequent in the last 30 years. This database can contribute as a starting point for developing predictive models and verifying a possible correlation of floods with extreme events and global climatic changes.