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184 results for “Maranhão”
FIGURE 11 in Complexes of species of Eumorpha Hübner [1807] (Lepidoptera: Sphingidae) from the Maranhão State, Brazil
FIGURE 11. Morphology of the genitalia of Eumorpha obliquus species complex. (a-d) Eumorpha obliquus (Rothschild & Jordan, 1903) (a) sac, (b) valva, (c) saccular process, (d) aedeagus, (e-h) Eumorpha orientis (Daniel, 1949) (e) sac, (f) valva, (g) saccular process, (h) aedeagus.
FIGURE 10 in Complexes of species of Eumorpha Hübner [1807] (Lepidoptera: Sphingidae) from the Maranhão State, Brazil
FIGURE 10. Morphology of the habitus of Eumorpha obliquus species complex. (a, b) Eumorpha obliquus (Rothschild & Jordan, 1903). (a) dorsal view of the habitus, (b) ventral view of the habitus, (c, d) Eumorpha orientis (Daniel, 1949). (c) dorsal view of the habitus, (d) ventral view of the habitus. scale 10mm.
FIGURE 9 in Complexes of species of Eumorpha Hübner [1807] (Lepidoptera: Sphingidae) from the Maranhão State, Brazil
FIGURE 9. Morphology of the genitalia of Eumorpha analis species complex. (a-d) Eumorpha analis (Rothschild & Jordan, 1903). (a) sac, (b) valva, (c) saccular process, (d) aedeagus, (e-h) Eumorpha aff. analis (a) (e) sac, (f) valva, (g) saccular process, (h) aedeagus, (i–p) Eumorpha aff. analis (b) (i) sac, (j) valva, (k) saccular process, (l) aedeagus (m–p) variation of morphology, (q–t) Eumorpha megaeacus (Ḩbner, [1819]) (q) sac, (r) valva, (s) saccular process, (t) aedeagus.
FIGURE 8 in Complexes of species of Eumorpha Hübner [1807] (Lepidoptera: Sphingidae) from the Maranhão State, Brazil
FIGURE 8. Morphology of the habitus of Eumorpha analis species complex. (a, b) Eumorpha analis (Rothschild & Jordan, 1903). (a) dorsal view of the habitus; (b) ventral view of the habitus; (c, d) Eumorpha aff. analis (a) (c) dorsal view of the habitus; (d) ventral view of the habitus, (e, h) Eumorpha aff. analis (b) (e, g) dorsal view of the habitus; (f, h) ventral view of the habitus, (i, j), Eumorpha megaeacus (Ḩbner, [1819]). (i) dorsal view of the habitus; (j) ventral view of the habitus. scale 10mm.
FIGURE 6 in Complexes of species of Eumorpha Hübner [1807] (Lepidoptera: Sphingidae) from the Maranhão State, Brazil
FIGURE 6. Morphology of the habitus of Eumorpha anchemolus (Cramer, 1779). (a, c, e) dorsal view of the habitus; (b, d, f) ventral view of the habitus. scale 10mm
FIGURE 7 in Complexes of species of Eumorpha Hübner [1807] (Lepidoptera: Sphingidae) from the Maranhão State, Brazil
FIGURE 7. Morphology of the genitalia of Eumorpha anchemolus (Cramer, 1779). (a) sac, (b) valva, (c) saccular process, (d) aedeagus, (e–l) variation in morphology.
FIGURE 4 in Complexes of species of Eumorpha Hübner [1807] (Lepidoptera: Sphingidae) from the Maranhão State, Brazil
FIGURE 4. Maranh"o State map with points in the collecting municipalities and their respective biomes.
FIGURE 1 in Complexes of species of Eumorpha Hübner [1807] (Lepidoptera: Sphingidae) from the Maranhão State, Brazil
FIGURE 1. Morphology of the habitus of Eumorpha obliquus: (a) - Dorsal view; DB: Discal bar; H: Head; DSP: Discal stripe; SBS: Submarginal stripe; DS: Discal spot; SP: Subapical Patch, TS: Triangular spot; YS: "Y" spot; Tl: Tegulae. (b)—Ventral view. P: Palpi. scale 10mm.
FIGURE 3 in Complexes of species of Eumorpha Hübner [1807] (Lepidoptera: Sphingidae) from the Maranhão State, Brazil
FIGURE 3. Male genitalia of Eumorpha anchemolus (Cramer, 1779). Vs: Vesica, Ed: Aedeagus Un: Uncus, Va: Valva, SP: Saccular Process, Sac: Sacculus, S: Sac.
FIGURE 2 in Complexes of species of Eumorpha Hübner [1807] (Lepidoptera: Sphingidae) from the Maranhão State, Brazil
FIGURE 2. Alar structure. (a) Alar division following (Camargo et al. 2018). (b) Alar venation (following Rafael et al. 2012).
L1A - Discrete airborne LiDAR transects collected by EBA in the Brazilian Amazon (Maranhão e Tocantins)
<p>In two campaigns (2016/2017 and 2017/2018), we collected LiDAR transects across the Brazilian Amazon. Some transects were randomly distributed over the forest and secondary forest, some were randomly distributed over the deforestation arch, and others overlapped field plots to allow for model calibration. Each transect covered a minimum of 375 hectares (12.5 km x 300 m) and was surveyed by emitting full-waveform laser pulses from a Trimble Harrier 68i airborne sensor (Trimble; Sunnyvale, CA) aboard a Cessna aircraft (model 206). The average point density was set at four returns per m², the field of view was 30°, the flying altitude was 600 m, and the transect width on the ground was approximately 494 m. Global Navigation Satellite System (GNSS) data were collected on a dual-frequency receiver (L1/L2). The pulse footprint was below 30 cm, based on a divergence angle between 0.1 and 0.3 milliradians. Horizontal and vertical accuracy were controlled to be under 1 m and 0.5 m, respectively.</p> <p>We used the PRODES forest mask (2015) and secondary vegetation (forest regrown after complete forest clearing) from TerraClass (2014) to distribute the transects. To calibrate and validate the airborne LiDAR predictions of biomass, we intentionally overlapped some transects with field plots from 15 research partners. In 2017/2018, we complemented the expanded the transects survey improving the representation of secondary forest based on TerraClass (INPE, 2014). To calibrate and validate the airborne LiDAR predictions of biomass. The metadata about each transect is included in the shapefile hosted at Zenodo repository (<a href="https://doi.org/10.5281/zenodo.4968706">https://doi.org/10.5281/zenodo.4968706</a>).</p> <p>To position the transects, we randomly generated center points with X, Y coordinates and assigned a random alpha slope angle to each point. We visually inspected the start points to ensure they were within the forest or secondary vegetation mask. If the start point was not entirely within a forest, as seen by satellite image, we discarded the seed point and selected another one. For each point, we created a shapefile with a 12.5 km x 300 m polygon. For both campaigns, if there were any conflicts with the flight plan (e.g., proximity to an airport or military restrictions), the company making the flights requested repositioning it to the closest allowed area.</p> <p>This deposit delivers data from Maranhão (1 zip file) and Tocantins (1 zip file).</p>
FIGURE 1 in An annotated catalogue of the Phaegopterina (Erebidae, Arctiinae, Arctiini) of state of Maranhão, Brazil
FIGURE 1. Municipalities with Phaegopterina records in Maranhão, Brazil. Municipalities: 1, Açailândia; 2, Bom Jardim; 3, Caxias; 4, Carolina; 5, Centro Novo do Maranhão; 6, Codó; 7, Fortaleza dos Nogueiras; 8, Feira Nova do Maranhão; 9, Mirador; 10, São João do Sóter; and 11, São Bento.
FIGURE 4 in Three new records of Cladocera (Crustacea: Branchiopoda) for the State of Maranhão, Northeastern Brazil
FIGURE 4. Dadaya macrops (Daday, 1898). A: Habitus. B: Head pore. C: Post- abdomen. Scale bar = 100 µm.
FIGURE 3. Simocephalus latirostris Stingelin, 1906. A in Three new records of Cladocera (Crustacea: Branchiopoda) for the State of Maranhão, Northeastern Brazil
FIGURE 3. Simocephalus latirostris Stingelin, 1906. A: Habitus. B: Head. C: Posterior-dorsal margin. Scale bar = 100 µm.
FIGURE 2 in Three new records of Cladocera (Crustacea: Branchiopoda) for the State of Maranhão, Northeastern Brazil
FIGURE 2. Simocephalus serrulatus (Koch, 1841). A: Habitus. B: head. C: Posterior-dorsal margin. Scale bar = 100 µm.
FIGURE 1. Collection location. A in Three new records of Cladocera (Crustacea: Branchiopoda) for the State of Maranhão, Northeastern Brazil
FIGURE 1. Collection location. A. Pouca Vergonha Lagoon Municipality of Brejo-; B. Rio Zutiuá Municipality of Tufilândia, Northeastern Maranh"o, Brazil.
Fig. 3 in Historical biogeography of fishes from coastal basins of Maranhão State, northeastern Brazil
Fig. 3. Reconstruction of paleodrainages area of Maranhão. a. 35 m above the modern level. b. 122 m below the modern level. Note that all modern rivers flowed through three paleodrainages at the LGM (-122 m). Note that similarities of the fish faunas can be explained in part by past connection among the basins. These paleo-connections also justify how basins with low species richness were combined for the analyses of historical biogeography.
Fig. 4 in Historical biogeography of fishes from coastal basins of Maranhão State, northeastern Brazil
Fig. 4. Species-area relationships (SAR) for freshwater fishes of Maranhão basins. Data for 160 species.
Identifying Improvement Opportunities in Software Engineering Education at the Maranhão State: Listening to Voices from Academy and Industry
<p>The teaching of Software Engineering (SE) has become challenging due to the large amount of content taught and the constant evolution of the software industry, directly impacting the requirements necessary to apply for a position in the area of Information Technology (IT). In this context, it is clear that students of computer courses still find it difficult to know how to prepare for the job market, and Higher Education Institutions (HEIs) may have difficulties in aligning themselves with market expectations with their syllabus in SE. This paper aims to provide a holistic view of the teaching-learning process, involving the views of students, HEIs and IT companies in the context of the state of Maranhão; and to propose reflections on the current state of the education to complement the contents and methodologies applied in the classroom with the needs of the local industry. To do so, three activities were carried out: (1) mapping expectations and evaluating higher education from the students’ point of view; (2) analysis of higher education disciplines in higher education institutions in the state of Maranhão in Brazil; and (3) survey of expectations of the IT market considering the vacancies disclosed in relation to the SE area in the state of Maranhão. The results indicate a partial fulfillment of the demand regarding the taught topics related to SE from the local industry by the HEIs. In addition, there is a need to improve the teaching-learning methodological processes, focusing on practical activities and the learning of teamwork skills, in addition to knowledge in software development.</p>
FIGURES 2A–2B in Caddisflies (Insecta: Trichoptera) from Maranhão State, Northeast Region, Brazil: A new species, checklist, and new geographical records
FIGURES 2A–2B. Triplectides maranhensis sp. nov., right wings, dorsal. 2A, forewing; 2B, hind wing.
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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
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