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Distribution. SE Brazil (W Rio de Janeiro, much of Sao Paulo, and S Minas Gerais states), from the Parana/Parnaiba river system E to Mantiqueira and Espinhaco ranges, N to the upper Rio Sao Francisco, and S to the Rio Tieteé. in Phitheciidae
Distribution. SE Brazil (W Rio de Janeiro, much of Sao Paulo, and S Minas Gerais states), from the Parana/Parnaiba river system E to Mantiqueira and Espinhaco ranges, N to the upper Rio Sao Francisco, and S to the Rio Tieteé.
Subspecies and Distribution. C.l.lanatusOlfers,1818—Paraguay,NArgentina(Misiones),andSBrazil(Parana,SantaCatarina,RioGrandedoSul). C.l.cicurBangs,1898—NColombiaandNWVenezuela(MaracaiboLake,Andes). C.l.nattereriMatschie,1917—SWBrazil(MatoGrosso,MatoGrossodoSul)andadjacentBolivia. C.l.ochropusWagner,1842—SVenezuela(SOrinocoRiver),WBrazil,andSEColombia;itcouldoccurinEPeru(LoretoandalongtheBrazilianborder)andinAmazonianBolivia,butseparationoftherangesinthisareaisnotclear. C.l.ornatusTschudi,1845—SColombia,andEAndeanvalleysandadjacentlowlandsofEcuador,Peru,andBolivia. C. l. vitalinus Miranda-Ribeiro, 1936 — SE Brazil (Distrito Federal, Minas Gerais, Espirito Santo, and Sao Paulo). in Didelphidae
Subspecies and Distribution. C.l.lanatusOlfers,1818—Paraguay,NArgentina(Misiones),andSBrazil(Parana,SantaCatarina,RioGrandedoSul). C.l.cicurBangs,1898—NColombiaandNWVenezuela(MaracaiboLake,Andes). C.l.nattereriMatschie,1917—SWBrazil(MatoGrosso,MatoGrossodoSul)andadjacentBolivia. C.l.ochropusWagner,1842—SVenezuela(SOrinocoRiver),WBrazil,andSEColombia;itcouldoccurinEPeru(LoretoandalongtheBrazilianborder)andinAmazonianBolivia,butseparationoftherangesinthisareaisnotclear. C.l.ornatusTschudi,1845—SColombia,andEAndeanvalleysandadjacentlowlandsofEcuador,Peru,andBolivia. C. l. vitalinus Miranda-Ribeiro, 1936 — SE Brazil (Distrito Federal, Minas Gerais, Espirito Santo, and Sao Paulo).
On following pages: 558. Arguedas''s Grass Mouse (Akodon josemariarguedasi); 559. Junin Grass Mouse (Akodon juninensis); 560. Puno Grass Mouse (Akodon subfuscus); 561. Cloud Forest Grass Mouse (Akodon torques); 562. Silent Grass Mouse (Akodon surdus); 563. Kotosh Grass Mouse (Akodon kotosh); 564. White-bellied Grass Mouse (Akodon albiventen; 565. Bolivian Grass Mouse (Akodon boliviensis); 566. Lindbergh's Grass Mouse (Akodon lindberghi); 567. Cursorial Grass Mouse (Akodon curson; 568. Montane Grass Mouse (Akodon montensis); 569. Altiplano Grass Mouse (Akodon lutescens); 570. Thespian Grass Mouse (Akodon mimus); 571. Koford's Grass Mouse (Akodon kofordl); 572. Smoky Grass Mouse (Akodon fumeus); 573. Day's Grass Mouse (Akodon dayi); 574. Cochabamba Grass Mouse (Akodon siberiae); 575. Unicolored Grass Mouse (Akodon caenosus); 576. Tarija Grass Mouse (Akodon pervalens), 577. Gray-bellied Grass Mouse (Akodon simulator); 578. Budin's Grass Mouse (Akodon budini); 579. Variable Grass Mouse (Akodon varius); 580. Caparao Grass Mouse (Akodon mystax); 581. Parana Grass Mouse (Akodon paranaensis); 582. Sao Paulo Grass Mouse (Akodon sanctipaulensis); 583. Forest Grass Mouse (Akodon sylvanus); 584. Spegazzini's Grass Mouse (Akodon spegazzinii); 585. Toba Grass Mouse (Akodon toba); 586. Azara's Grass Mouse (Akodon azarae); 587 Philip Myers's Grass Mouse (Akodon philipmyersi); 588. Reig's Grass Mouse (Akodon reigi); 589. Polop's Grass Mouse (Akodon polopi); 590. Dolores Grass Mouse (Akodon dolores); 591. Intelligent Grass Mouse (Akodon iniscatus). in Cricetidae
On following pages: 558. Arguedas''s Grass Mouse (Akodon josemariarguedasi); 559. Junin Grass Mouse (Akodon juninensis); 560. Puno Grass Mouse (Akodon subfuscus); 561. Cloud Forest Grass Mouse (Akodon torques); 562. Silent Grass Mouse (Akodon surdus); 563. Kotosh Grass Mouse (Akodon kotosh); 564. White-bellied Grass Mouse (Akodon albiventen; 565. Bolivian Grass Mouse (Akodon boliviensis); 566. Lindbergh's Grass Mouse (Akodon lindberghi); 567. Cursorial Grass Mouse (Akodon curson; 568. Montane Grass Mouse (Akodon montensis); 569. Altiplano Grass Mouse (Akodon lutescens); 570. Thespian Grass Mouse (Akodon mimus); 571. Koford's Grass Mouse (Akodon kofordl); 572. Smoky Grass Mouse (Akodon fumeus); 573. Day's Grass Mouse (Akodon dayi); 574. Cochabamba Grass Mouse (Akodon siberiae); 575. Unicolored Grass Mouse (Akodon caenosus); 576. Tarija Grass Mouse (Akodon pervalens), 577. Gray-bellied Grass Mouse (Akodon simulator); 578. Budin's Grass Mouse (Akodon budini); 579. Variable Grass Mouse (Akodon varius); 580. Caparao Grass Mouse (Akodon mystax); 581. Parana Grass Mouse (Akodon paranaensis); 582. Sao Paulo Grass Mouse (Akodon sanctipaulensis); 583. Forest Grass Mouse (Akodon sylvanus); 584. Spegazzini's Grass Mouse (Akodon spegazzinii); 585. Toba Grass Mouse (Akodon toba); 586. Azara's Grass Mouse (Akodon azarae); 587 Philip Myers's Grass Mouse (Akodon philipmyersi); 588. Reig's Grass Mouse (Akodon reigi); 589. Polop's Grass Mouse (Akodon polopi); 590. Dolores Grass Mouse (Akodon dolores); 591. Intelligent Grass Mouse (Akodon iniscatus).
Distribution. EC & SE Brazil (Bahia, Minas Gerais, and Sao Paulo states, and Distrito Federal), with an isolated record in W Brazil (Rondonia State); range may extend to Matto Grosso State. in Cricetidae
Distribution. EC & SE Brazil (Bahia, Minas Gerais, and Sao Paulo states, and Distrito Federal), with an isolated record in W Brazil (Rondonia State); range may extend to Matto Grosso State.
Distribution. NE Brazil, N of Rio Sao Francisco, including Maranhao, Piaui, Ceara, Rio Grande do Norte, Paraiba, and Pernambuco states. in Cricetidae
Distribution. NE Brazil, N of Rio Sao Francisco, including Maranhao, Piaui, Ceara, Rio Grande do Norte, Paraiba, and Pernambuco states.
Distribution. Few scattered montane localities in Minas Gerais and neighboring states of Rio de Janeiro and Sao Paulo, SE Brazil. in Cricetidae
Distribution. Few scattered montane localities in Minas Gerais and neighboring states of Rio de Janeiro and Sao Paulo, SE Brazil.
On following pages: 350. Tanzanian White-toothed Shrew (Crocidura tansaniana); 351. Usambara White-toothed Shrew (Crocidura usambarae); 352. Kivu White-toothed Shrew (Crocidura kivuana); 353. Niobe's White-toothed Shrew (Crocidura niobe): 354. Desert White-toothed Shrew (Crocidura smithii); 355. Sahelian Tiny White-toothed Shrew (Crocidura pasha); 356. Roosevelt's White-toothed Shrew (Crocidura roosevelt); 357. Long-footed White-toothed Shrew (Crocidura crenata): 358. Grasse's White-toothed Shrew (Crocidura grassei); 359. Bicolored African White-toothed Shrew (Crocidura fuscomurina); 360. Flat-headed White-toothed Shrew (Crocidura planiceps); 361. Crosse's White-toothed Shrew (Crocidura crossei): 362. Jouvenet's White-toothed Shrew (Crocidura jouvenetae); 363. Mauritanian White-toothed Shrew (Crocidura lusitania); 364. Naked-tailed White-toothed Shrew (Crocidura littoralis): 365. Gracile White-toothed Shrew (Crocidura maurisca); 366. Reddish-gray White-toothed Shrew (Crocidura cyanea); 367. Swamp White-toothed Shrew (Crocidura mariquensis), 368. Lesser Gray-brown White-toothed Shrew (Crocidura silacea): 369. Dent's White-toothed Shrew (Crocidura denti); 370. Hildegarde's White-toothed Shrew (Crocidura hildegardeae); 371. Mamfe White-toothed Shrew (Crocidura virgata), 372. Bates's White-toothed Shrew (Crocidura batesi): 373. Sao Tome White-toothed Shrew (Crocidura thomensis); 374. Fingui White-toothed Shrew (Crocidura fingui); 375. Fraser's White-toothed Shrew (Crocidura poensis); 376. Nigerian White-toothed Shrew (Crocidura nigeriae); 377. Hun White-toothed Shrew (Crocidura attila); 378. Fox's White-toothed Shrew (Crocidura foxi); 379. Buttikofer's White-toothed Shrew (Crocidura buettikoferi); 380. Therese's White-toothed Shrew (Crocidura theresae); 381. Large-headed White-toothed Shrew (Crocidura grandiceps); 382. Wimmer's White-toothed Shrew (Crocidura wimmeri); 383. African Black White-toothed Shrew (Crocidura nigrofusca); 384. Savanna Dwarf White-toothed Shrew (Crocidura nanilla); 385. Nimba White-toothed Shrew (Crocidura nimbae). in Soricidae
On following pages: 350. Tanzanian White-toothed Shrew (Crocidura tansaniana); 351. Usambara White-toothed Shrew (Crocidura usambarae); 352. Kivu White-toothed Shrew (Crocidura kivuana); 353. Niobe's White-toothed Shrew (Crocidura niobe): 354. Desert White-toothed Shrew (Crocidura smithii); 355. Sahelian Tiny White-toothed Shrew (Crocidura pasha); 356. Roosevelt's White-toothed Shrew (Crocidura roosevelt); 357. Long-footed White-toothed Shrew (Crocidura crenata): 358. Grasse's White-toothed Shrew (Crocidura grassei); 359. Bicolored African White-toothed Shrew (Crocidura fuscomurina); 360. Flat-headed White-toothed Shrew (Crocidura planiceps); 361. Crosse's White-toothed Shrew (Crocidura crossei): 362. Jouvenet's White-toothed Shrew (Crocidura jouvenetae); 363. Mauritanian White-toothed Shrew (Crocidura lusitania); 364. Naked-tailed White-toothed Shrew (Crocidura littoralis): 365. Gracile White-toothed Shrew (Crocidura maurisca); 366. Reddish-gray White-toothed Shrew (Crocidura cyanea); 367. Swamp White-toothed Shrew (Crocidura mariquensis), 368. Lesser Gray-brown White-toothed Shrew (Crocidura silacea): 369. Dent's White-toothed Shrew (Crocidura denti); 370. Hildegarde's White-toothed Shrew (Crocidura hildegardeae); 371. Mamfe White-toothed Shrew (Crocidura virgata), 372. Bates's White-toothed Shrew (Crocidura batesi): 373. Sao Tome White-toothed Shrew (Crocidura thomensis); 374. Fingui White-toothed Shrew (Crocidura fingui); 375. Fraser's White-toothed Shrew (Crocidura poensis); 376. Nigerian White-toothed Shrew (Crocidura nigeriae); 377. Hun White-toothed Shrew (Crocidura attila); 378. Fox's White-toothed Shrew (Crocidura foxi); 379. Buttikofer's White-toothed Shrew (Crocidura buettikoferi); 380. Therese's White-toothed Shrew (Crocidura theresae); 381. Large-headed White-toothed Shrew (Crocidura grandiceps); 382. Wimmer's White-toothed Shrew (Crocidura wimmeri); 383. African Black White-toothed Shrew (Crocidura nigrofusca); 384. Savanna Dwarf White-toothed Shrew (Crocidura nanilla); 385. Nimba White-toothed Shrew (Crocidura nimbae).
Distribution. SE Ghana (E of Volta River), Togo, Benin, Nigeria, and NW Cameroon (to a little S of the Sanaga River). The species has been introduced to the Gulf of Guinea islands of Sao Tomé and Principe, and into the Caribbean islands of Grenada, Saint Kitts, and Nevis. in Cercopithecidae
Distribution. SE Ghana (E of Volta River), Togo, Benin, Nigeria, and NW Cameroon (to a little S of the Sanaga River). The species has been introduced to the Gulf of Guinea islands of Sao Tomé and Principe, and into the Caribbean islands of Grenada, Saint Kitts, and Nevis.
Distribution. WC Laos, from S Bolikhamsal Province, probably with the Nam Kading River as the N barrier of the distribution, S to C Khammouane Province, at ¢.17° 40' N; there are also reports from the corridor to Nakai-Nam-Theun National Protected Area, and from Khamkeut District, close to Lak Sao (18° 13' N, 104° 47' E). in Cercopithecidae
Distribution. WC Laos, from S Bolikhamsal Province, probably with the Nam Kading River as the N barrier of the distribution, S to C Khammouane Province, at ¢.17° 40' N; there are also reports from the corridor to Nakai-Nam-Theun National Protected Area, and from Khamkeut District, close to Lak Sao (18° 13' N, 104° 47' E).
InCites Analysis of Funding Agencies Brazil and Universidade de Sao Paulo
<p>Levantamento realizado na <a href="http://www.incites.com"><strong>Plataforma InCites</strong></a> entre os dias 03 e 19 de julho de 2018, com dados atualizados em 16 de junho de 2018 e conteúdo da Web of Science indexado até 29 de abril de 2018 revela quais são as entidades de financiamento que mais investem na pesquisa de autores brasileiros e autores da Universidade de São Paulo (USP). A partir do Módulo Funding Agencies, foi possível levantar por localização geográfica e por nome da organização os dados de financiamento coletados da seção de Agradecimentos (<em>Acknowledgments</em>) ou do Rodapé dos artigos publicados e indexados na base <a href="https://apps.webofknowledge.com">Web of Science</a></p>
Supporting dataset for "Magnetotelluric images of Paleoproterozoic accretion and Mesoproterozoic to Neoproterozoic reworking processes in the northern Sao Francisco Craton, central-eastern Brazil"
<p>This dataset presents .edi files from 38 magnetotelluric stations across the northern São Francisco Craton in central-eastern Brazil. Data collection was financially supported by CNPq Project 573713/2008-1.</p>
Improved magnetometric airborne product - Sao Paulo-Rio de Janeiro survey (Sao Paulo)
<p>The airborne data for the São Paulo - Rio de Janeiro survey (São Paulo segment) were acquired in 1978 by Encal S/A Consultoria e Aerolevantamentos, and the source files are available from the Geological Survey of Brazil repository (GEOSGB), referenced as dataset number 1039. </p> <p><strong>Manual levelling</strong></p> <p>The manual leveling technique requires meticulous care and is time-intensive. It is an interpretative process where researchers must analyze data profiles repeatedly, iterating to identify necessary adjustments for each line, in order to minimize non-geological anomaly features. In the case of 1039 dataset, the review of magnetometric anomaly addresses linear artifacts caused by tilted and segmented lines, and minor line segments with no crossover constraints.</p> <p>Beyond the line levelling improvement, I also have separated the survey in northern and southern areas fro gridding, due to the significant misfit along their boundaries. After the gridding process, I have made a grid mosaic with the Oasis Montaj Software (mosaic data version). </p> <p>A directional cossine was applied as a final processing technique, in order to remove the N-S noise.</p> <p> </p> <p>Original source file head:<br>/PROJETO AEROGEOFISICO SAO PAULO-RIO DE JANEIRO (FASE SAO PAULO) CODIGO NA BASE AERO = 1039<br>/COORDENADAS UTM ELIPSOIDE INTERNACIONAL HAYFORD 1910 MC= -51§ E -45§<br>/LINE- 20 A 2487 (243 PERFIS) TIE- 9000 A 9220 (25 PERFIS) TOTAL= 268 PERFIS<br>/LINE- 2540 A 8120 (532 PERFIS) TIE- 9230 A 9880 (54 PERFIS) TOTAL= 586 PERFIS</p> <p> </p> <p>If you have any issues, please contact Luizemara Szameitat at contato@lszameitat.com.</p> <p><br> </p>
Sao Paulo ST Segment Elevation Myocardial Infarction (STEMI) Registry
ClinicalTrials.gov study NCT02090712. IPD Sharing: Not stated. Countries: 1. Publications: 5.
Epidemiology of Sleep Disturbances Among the Adult Population of the Sao Paulo City
ClinicalTrials.gov study NCT00596713. IPD Sharing: Not stated. Countries: 1. Publications: 11.
TROPESS CrIS-SNPP L2 for Sao Paulo Megacity, Summary Product V1 (TRPSYL2ALLCRSMGSAO) at GES DISC
The TROPESS CrIS-SNPP L2 for Sao Paulo Megacity, Summary Product contains the vertical distribution of six retrieved atmospheric gases (CH4, CO, HDO, NH3, O3 and PAN), along with formal uncertainties measured by the CrIS instrument on the Suomi-NPP satellite. The forward stream summary product is centered on a 3x3 degree region over Sao Paulo for the time period from 2021-02-01 to present. The NASA TRopospheric Ozone and Precursors from Earth System Sounding (TROPESS) project, uses an optimal estimation algorithm, known as the MUlti-SpEctra, MUlti-SpEcies, Multi-SEnsors (MUSES).The data files are written in the netCDF version 4 file format, and each file contains one day of data. The data have a spatial resolution of 14 km (CrIS nadir FOV), and are reported at 17 vertical levels from the surface to 0.1 hPa. The principal investigator for the TROPESS project is Kevin W. Bowman.
TROPESS CrIS-SNPP L2 for Sao Paulo Megacity, Standard Product V1 (TRPSDL2ALLCRSMGSAO) at GES DISC
The TROPESS CrIS-SNPP L2 for Sao Paulo Megacity, Standard Product contains the vertical distribution of seven retrieved atmospheric gases (CH4, CO, H2O, HDO, NH3, O3 and PAN) and temperature, along with formal uncertainties measured by the CrIS instrument on the Suomi-NPP satellite. The forward stream standard product is centered on a 3x3 degree region over Sao Paulo for the time period from 2021-02-01 to present. The NASA TRopospheric Ozone and Precursors from Earth System Sounding (TROPESS) project, uses an optimal estimation algorithm, known as the MUlti-SpEctra, MUlti-SpEcies, Multi-SEnsors (MUSES).The data files are written in the netCDF version 4 file format, and each file contains one day of data. The data have a spatial resolution of 14 km (CrIS nadir FOV), and are reported at 17 vertical levels from the surface to 0.1 hPa. The principal investigator for the TROPESS project is Kevin W. Bowman.
Significant baseflow reduction in the Sao Francisco River Basin, Brazil. Is it time to call for attention on groundwater withdrawals?
<p>Hydrometeorological and irrigation demand dataset used in the manuscript "Significant baseflow reduction in the Sao Francisco River Basin, Brazil. Is it time to call for attention on groundwater withdrawals?", submitted to Hydrological Processes.</p> <p>Streamflow records was downloaded from the Brazilian Water Agency (ANA, in portuguese) gauge stations.</p> <p>Precipitation dataset is derived from Xavier et al. (2016) (https://doi.org/10.1002/joc.4518).</p> <p>Evapotranspiration and Potential Evapotranspiration dataset is derived from Global Land Evaporation Amsterdam Model (GLEAM).</p> <p>Terrestrial Water Storage is derived from Gravity Recovery and Climate Experiment (GRACE) satellite - Jet Propulsion Laboratory (JPL) Release 06 (RL06) mascons solution.</p>
Distribution. Endemic to Sao Tomé I. in Miniopteridae
Distribution. Endemic to Sao Tomé I.
Distribution. Known only from two localities in SE Atlantic Forest of Sao Paulo State, SE Brazil. in Vespertilionidae
Distribution. Known only from two localities in SE Atlantic Forest of Sao Paulo State, SE Brazil.
Distribution. SE & S Brazil (Sao Paulo, Parana, Santa Catarina, and Rio Grande do Sul states). in Vespertilionidae
Distribution. SE & S Brazil (Sao Paulo, Parana, Santa Catarina, and Rio Grande do Sul states).
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