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912 results for “São Paulo”
Fig. 2 in Plasmodium (Novyella) nucleophilum from an Egyptian Goose in São Paulo Zoo, Brazil: microscopic confirmation and molecular characterization
Fig. 2. Bayesian phylogeny of cytochrome b gene lineages of species of avian haemosporidian parasites. A lineage recorded in the Egyptian Goose Alopochen aegyptiacus is provided underlined. Names of the lineages are given after the species names of parasites. GenBank accession numbers of the lineages are provided before the parasite species names. Nodal support values (in percentage) indicate posterior clade probabilities. Plasmodium species from Novyella subgenus are boxed.
Fig. 1 in Plasmodium (Novyella) nucleophilum from an Egyptian Goose in São Paulo Zoo, Brazil: microscopic confirmation and molecular characterization
Fig. 1. Photomicrographs of Plasmodium parasites visualized from thin blood smears obtained from an Egyptian Goose (Alopochen aegyptiacus) in São Paulo Zoo, Brazil. Characteristic of Plasmodium (Novyella) nucleophilum (lineage EG01, GenBank JX467689) the trophozoite (a), meronts (b–c), macrogametocytes (d, e), and microgametocyte (f) are appressed to erythrocyte nuclei (nucleophilic features). Plasmodium (Haemamoeba) sp. (g–i) lacks nucleophilic blood stages and possesses large roundish trophozoites, each with a prominent centrally located vacuole; pigment granules are gathered around the vacuoles. Note that early Plasmodium (H.) sp. trophozoites markedly displace erythrocyte nuclei (g). Arrows, pigment granules. Scale bar = 10 µm.
Land use and land cover data for Northern Coast of São Paulo State (Brazil) from 1985 to 2015
<p>Authors: Ana Beatriz Pierri Daunt and Thiago Sanna Freire Silva</p> <p>Product: Land use and land cover maps for 1985, 1990, 1995, 2000, 2005, 2010, 2015 in raster format.</p> <p>Study area: Northern Coast of São Paulo State (Brazil)</p> <p>Mapping methods: Land use and land cover were mapped using Landsat images and geographic object-based image analysis (GEOBIA), based on the Random Forests supervised algorithm processing using the “RSGISlib” library, accessible through the Python language. More information at <a href="https://www.rsgislib.org">https://www.rsgislib.org</a>. The automated classification was followed by manual correction of the land cover maps at the 1:25.000 scale. See Metadata.docx for more details and land use/cover description,</p> <p>Financial informations: This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brasil (CAPES) - Finance Code 001, and by the National Council for Scientific and Technological Development (CNPq), fellowship #163870/2018-7, through the Geography Graduate Program, São Paulo State University. T.S.F. Silva acknowledges research productivity grant #310144/2015-9 from CNPq.</p> <p> </p>
Tree cover for the year 2010 of the Metropolitan Region of São Paulo, Brazil
<p><strong>Dataset description</strong></p> <p>The tree cover dataset for the year 2010 of the Metropolitan Region of São Paulo (Brazil) was produced using 71 orthorectified RGB aerial photographs taken in 2010 at 1 m spatial resolution. This aerial photographs were made available by the EMPLASA (Empresa Paulista de Planejamento Metropolitano S.A) and can be visualized on the following Brazilian government website http://datageo.ambiente.sp.gov.br/app/# in the directory /Base Imagem/Portal de imagens - DigitalGlobe/Ortofotos do Estado de São Paulo - 2010 / 2011 (EMPLASA). The map of the tree cover was produced using a state-of-the-art deep learning method for image segmentation called U-net. The U-net method was originally developed by Ronneberger et al. (2015) for medical imagery and first applied to remote sensing of vegetation by Wagner et al. (2019). To train the U-net algorithm to recognize and segment trees, a mask of tree cover was manually delineated in one of the images (image ID: SF-23-Y-C-VI-2-SO) resulting in 4015 polygons. The image for manual sampling was chosen because it presented all different types of São Paulo tree cover, that are, isolated trees, natural forests, natural degraded forests and eucalyptus plantations as well as a high diversity in the background classes, with different urban building types (high rise buildings, individual houses, slums and industrial buildings) and also other important classes for the city of São Paulo such as water reservoir, roads and highways. Clipping the image and the mask in 64 x 64 pixels resulted in a sample of 1608 images and their associated labelled mask to train the model. Among these images, 1296 contained trees or forest and 312 contained only background. 1286 images were used for the training and 322 for independent validation. The algorithm presents an excellent level of accuracy, with an overall accuracy of 96.4 % and a F1-score of 0.941 (precision = 0.945 and recall = 0.937). The main known limitations of the algorithm are (i) that it misses sometimes the segmentation of trees on the image borders, however it is largely corrected by the overlap between tiles and has been corrected since Version 2.0; (ii) due to the shade of some buildings or mountains, the image is too dark for the algorithm to recognize objects; and, (iii) in relatively few occasions, it segments some green vegetation or algae which are not trees but present a similar texture or colour.</p> <p>The dataset is distributed in 71 tiles (EPSG:32723, WGS 84 / UTM zone 23S) that are available in raster and shapefile format in the compressed file. The rasters contain one band with value 1 if the pixel is tree cover and 0 otherwise. The shapefiles contain only polygons and these polygons are the tree cover. The tree cover can represent individual trees, natural forests, natural degraded forests or eucalyptus plantation. The total size of the decompressed archives is 6.40 Go.</p> <p>When using this dataset, please cite the original data descriptor article : <strong><a href="https://doi.org/10.3390/data4040145">https://doi.org/10.3390/data4040145</a></strong></p> <p><strong>References</strong></p> <p>Ronneberger, O., Fischer, P., and Brox, T.: U-Net: Convolutional Networks for Biomedical Image Segmentation, CoRR, abs/1505.04597, http://arxiv.org/abs/1505.04597, 2015.</p> <p>Wagner, F. H., Sanchez, A., Tarabalka, Y., Lotte, R. G., Ferreira, M. P., Aidar, M. P. M., Gloor, E., Phillips, O. L., and Aragão, L. E. O. C.: Using the U-net convolutional network to map forest types and disturbance in the Atlantic rainforest with very high resolution images, Remote Sensing in Ecology and Conservation, https://doi.org/10.1002/rse2.111, https://zslpublications.onlinelibrary.wiley.com/doi/abs/10.1002/rse2.111, 2019.</p>
Figure 12 in Soldier flies (Diptera: Stratiomyidae) on semideciduous seasonal forest fragments, with a list of species for São Paulo State, Brazil, and two new records of species for the country
Figure 12 Map with the distribution of all 92 unique coordinates from the stratiomyid dataset throughout the Atlantic Forest remnants in the state of São Paulo, Brazil.
Figure 5 in Soldier flies (Diptera: Stratiomyidae) on semideciduous seasonal forest fragments, with a list of species for São Paulo State, Brazil, and two new records of species for the country
Figure 5 Stratiomyids from the Reserva Ecológica e Biológica Augusto Ruschi, Sertãozinho, São Paulo, Brazil. (a) Manotes sp. 1, male; (b) Manotes sp. 1, female; (c) Panacris lucida Gerstaecker, 1857, male; (d) Popanomyia sp. 1, female; (e) Psephiocera sp. 1, female; (f) Psephiocera sp. 2, male; (g) Strobilaspsis sp. 1, female; (h) Raphiocera sp. 1, male; (i) Acrochaeta ruschii Fachin & Amorim, 2015, female; (j) Merosargus brunneus Lindner, 1933, male; (k) M. cingulatus Schiner, 1868, male; (l) M. golbachi James, 1971 in James & McFadden, 1971, male. Scale bar, 1 mm.
Figure 4 in Soldier flies (Diptera: Stratiomyidae) on semideciduous seasonal forest fragments, with a list of species for São Paulo State, Brazil, and two new records of species for the country
Figure 4 Stratiomyids from the Reserva Ecológica e Biológica Augusto Ruschi, Sertãozinho, São Paulo, Brazil. (a) Diaphorostylus sp. 1, male; (b) Diaphorostylus sp. 1, female; (c) Euryneura sp. 1, male; (d) Euryneura sp. 1, female; (e) Hermetia albitarsis Fabricius, 1805, female; (f) H. brachygastropsis Fachin & Hauser, 2022, female; (g) H. illucens (Linnaeus, 1758), female; (h) H. currani Lindner, 1949, female; (i) Chorophthalmyia brevicornis Lindner, 1964, female; (j) Cyclotaspis sp. 1, female; (k) Eidalimus sp. 1, male; (l) Eidalimus sp. 1, female. Scale bar, 1 mm.
Figure 9 in Soldier flies (Diptera: Stratiomyidae) on semideciduous seasonal forest fragments, with a list of species for São Paulo State, Brazil, and two new records of species for the country
Figure 9 Climate and seasonal data of soldier flies collected using black roof Malaise traps at the Reserva Ecológica e Biológica de Sertãozinho, São Paulo, Brazil.
Fig. 6. Letter from Ubirajara R in The Entomological Collection of Ricardo von Diringshofen (1900-1986) and its incorporation to the Museu de Zoologia da Universidade de São Paulo
Fig. 6. Letter from Ubirajara R. Martins to the then director of MZSP Paulo E. Vanzolini requesting an official letter of appreciation to be send to Dirings's family due to the donation of his Entomological Library.
Fig. 4. Letters from Ubirajara R in The Entomological Collection of Ricardo von Diringshofen (1900-1986) and its incorporation to the Museu de Zoologia da Universidade de São Paulo
Fig. 4. Letters from Ubirajara R. Martins de Souza and Paulo E. Vanzolini, emphasizing the importance of Dirings's collection to the knowledge of the Neotropical Insects.
Fig. 2 in The Entomological Collection of Ricardo von Diringshofen (1900-1986) and its incorporation to the Museu de Zoologia da Universidade de São Paulo
Fig. 2. An undescribed species of Lycoplateros Pic, 1922 (Coleoptera: Lycidae) from Dirings's Entomological Collection.
Figs. 1–14. 1 in New records of polypores (Basidiomycota) from the state of São Paulo, Brazil
Figs. 1–14. 1. Cinereomyces dilutabilis basidiospores (SP 446258); 2. Dichomitus cylindrosporus basidiospores (SP 446261); 3, 4. Flaviporus brownii. 3. Basidiospores; 4. Cystidia (SP 446265); 5. F. subhydrophilus basidiospores (SP 446262); 6, 7. Fomitiporia bambusarum. 6. Hymenial setae; 7. Basidiospores (SP 446263); 8, 9. Inonotus tropicalis. 8. Hymenial setae; 9. Basidiospores (SP 446266); 10, 11. Junghuhnia carneola. 10. Cystidia; 11. Basidiospores (SP 446259); 12. Rigidoporus crocatus basidiospores (SP 446270); 13, 14. Skeletocutis nívea. 13. Hyphal pegs; 14. Basidiospores (SP 446267). Bars = 10 µm.
Figs. 15–24. Basidiomes. 15 in New records of polypores (Basidiomycota) from the state of São Paulo, Brazil
Figs. 15–24. Basidiomes. 15. Cinereomyces dilutabilis (SP 446261); 16. Dichomitus cylindrosporus (SP 446261); 17. D. cylindrosporus (SP 466096); 18. Flaviporus brownii (SP 446265); 19. F. Subhydrophilus (SP 446262); 20. Fomitiporia bambusarum (SP 446263); 21. Inonotus tropicalis (SP 446272); 22. Junghuhnia carneola (SP 446259); 23. Rigidoporus crocatus (SP 446270); 24. Skeletocutis nivea (SP 446267). Bars = 1 cm.
Fig. 1 in Diversity of helminth parasites of eight siluriform fishes from the Aguapeí River, upper Paraná basin, São Paulo state, Brazil
Fig. 1. Map of the study area. Black dots represent the sampling location in the mouth of the Aguapeí River, Upper Paraná River basin, at the border of São Paulo and Mato Grosso do Sul States, Brazil.
Figure 2 in Presence of Rhodnius neglectus Lent, 1954 (Hemiptera: Reduviidae: Triatominae) in Araraquara, São Paulo, Brazil: signals the importance of surveillance for the municipality
Figure 2. Female of Rhodnius neglectus captured inside the house in the municipality of Araraquara, São Paulo. A-B. Dorsal and ventral views. C. Pronotum and scutellum. D. Head. E. Ventral thorax. F. Labium. / Figura 2. Hembra de Rhodnius neglectus capturada en el interior de la casa en el municipio de Araraquara, São Paulo. A-B. Vistas dorsal y ventral. C. Pronoto y escutelo. D. Cabeza. E. Tórax, ventral. F. Labio.
Figure 1 in Presence of Rhodnius neglectus Lent, 1954 (Hemiptera: Reduviidae: Triatominae) in Araraquara, São Paulo, Brazil: signals the importance of surveillance for the municipality
Figure 1. Location of the residence invaded by triatomines in the municipality of Araraquara, São Paulo, Brazil. / Figura 1. Ubicación de la residencia invadida por triatominos en el municipio de Araraquara, São Paulo, Brasil.
Fig. 1 in The native psyllid Mastigimas anjosi (Hemiptera: Calophyidae): first record and abundance on pink cedar, Cedrela fissilis (Meliaceae), trees in São Paulo, Brazil
Fig. 1. Cedrela fissilis (Meliaceae) leaf showing (A) infestation Mastigimas anjosi (Hemiptera: Calophyidae) on the abaxial surface, and (B) closer view of immatures and adults heavily infesting a leaf. Mastigimas anjosi eggs (C), fifh instar (D), male (E) and female (F). Sorocaba, SÃo Paulo State, Brazil.
Fig. 2 in A survey of scale insects (Hemiptera: Coccoidea) in citrus orchards in São Paulo, Brazil
Fig. 2. Percentage of Citrus trees infested by each species of scale insect collected in the state of São Paulo between Sep 2014 and Sep 2015. Downloaded From: https://bioone.org/journals/Florida-Entomologist on 07 Aug 2024 Terms of Use: https://bioone.org/terms-of-use
Fig. 1 in A survey of scale insects (Hemiptera: Coccoidea) in citrus orchards in São Paulo, Brazil
Fig. 1. Map of the state of São Paulo (Brazil), indicating micro-regions where collections were conducted.
Fig. 8 in Morphological sexual maturity of the marine crab Xanthodius parvulus at the State Marine Park Laje de Santos, São Paulo, Brazil
Fig. 8. Xanthodius parvulus (Fabricius, 1793). Estimated size at the morphological sexual maturity for females. The estimated size refers to the smallest indiVidUal after the inflection point of the eqUations for jUVeniles and adults [CW, Carapace Width (mm); AW, Abdomen Width (mm)].
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.