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Figure 10 in The SISBIOTA-Diptera Brazilian Network: A long-term survey of Diptera from unexplored Brazilian Western Arc of Amazon, Cerrado, and Pantanal
Figure 10 Comparison of species richness rankings of the top 10 families collected and identified of Mato Grosso, Mato Grosso do Sul, Rondônia, the three states combined, and Brazil. Horizontal lines and bars represent equal ranking; each family is represented by a different color.
Figure 7 in The SISBIOTA-Diptera Brazilian Network: A long-term survey of Diptera from unexplored Brazilian Western Arc of Amazon, Cerrado, and Pantanal
Figure 7 Diversity of genera in each Diptera family in the material collected and identified of the three states combined (Mato Grosso, Mato Grosso do Sul, and Rondônia) in the SISBIOTA-Diptera.
Figure 13 in The SISBIOTA-Diptera Brazilian Network: A long-term survey of Diptera from unexplored Brazilian Western Arc of Amazon, Cerrado, and Pantanal
Figure 13 Number of articles resulting from the SISBIOTA-Diptera published between 2012 and 2022 (2023 is still in course, so it was not included in the graph).
Figure 12 in The SISBIOTA-Diptera Brazilian Network: A long-term survey of Diptera from unexplored Brazilian Western Arc of Amazon, Cerrado, and Pantanal
Figure 12 Number of articles per Diptera families resulting from the SISBIOTA-Diptera published between the first publication in 2012 and 2022.
Figure 4 in The SISBIOTA-Diptera Brazilian Network: A long-term survey of Diptera from unexplored Brazilian Western Arc of Amazon, Cerrado, and Pantanal
Figure 4 Mist net for trapping and examining bats for collecting bat flies (Streblidae). (a) setting up a mist net in a flooded area in the Pantanal, in Poconé, Mato Grosso; (b) mist net set on the flooded area, indicated with red arrows, in Poconé, Mato Grosso; (c) mist net set on drier area, in the Pantanal, in Corumbá, Mato Grosso do Sul; (d) Noctilio albiventris Desmarest, 1818 (Chiroptera: Noctilionidae) trapped with mist net and examined for bat flies, in Corumbá, Mato Grosso do Sul.
Figure 3 in The SISBIOTA-Diptera Brazilian Network: A long-term survey of Diptera from unexplored Brazilian Western Arc of Amazon, Cerrado, and Pantanal
Figure 3 Different types of Malaise traps installed in various sampling sites. (a) in a dry, open area of vegetation in Poconé, Mato Grosso; (b) in a shaded area in open vegetation in Porto Murtinho, Mato Grosso; (c) in a shaded area of forest along a stream in Cacaulândia, Rondônia; (d) in a shaded area of forest in Cacaulândia, Rondônia; (e) classic Malaise trap supported by a metallic structure set up in rocky formation with shrubby vegetation in Chapada dos Guimarães, Mato Grosso; (f) six-meter-long Malaise trap in open vegetation in Poconé, Mato Grosso; (g) six-meter-long Malaise trap in open vegetation in Porto Murtinho, Mato Grosso do Sul.
Figure 2 in The SISBIOTA-Diptera Brazilian Network: A long-term survey of Diptera from unexplored Brazilian Western Arc of Amazon, Cerrado, and Pantanal
Figure 2 Collecting techniques used in the SISBIOTA-Diptera long-term survey. (a) CDC light trap; (b) manual collecting of cecidomyiid galls; (c) drift net; (d–e) classic light trap, with a white vertical sheet and different types of lights; (f–g) McPhail trap, filled with fermented fruit; (h) yellow and white pan traps near temporary ponds; (i) Pennsylvania light trap; (j) Shannon trap, baited with pieces of rotten fish or chicken; (k–m) three different types of Van Sommeren-Rydon (also known as Nymphalidae butterfly trap), modified to collect flies, baited with fermented fruit or decomposing fish; (n) net sweeping of vegetation.
Figure 14 in The SISBIOTA-Diptera Brazilian Network: A long-term survey of Diptera from unexplored Brazilian Western Arc of Amazon, Cerrado, and Pantanal
Figure 14 Outreach pamphlet of the SISBIOTA-Diptera, produced in 2015, highlighting the main results of 11 out of over 60 families reported from the material collected during the project.
Figure 8 in The SISBIOTA-Diptera Brazilian Network: A long-term survey of Diptera from unexplored Brazilian Western Arc of Amazon, Cerrado, and Pantanal
Figure 8 Diversity of species in each Diptera family in the material collected and identified of the three states combined (Mato Grosso, Mato Grosso do Sul, and Rondônia) in the SISBIOTA-Diptera.
Figure 6 in The SISBIOTA-Diptera Brazilian Network: A long-term survey of Diptera from unexplored Brazilian Western Arc of Amazon, Cerrado, and Pantanal
Figure 6 Diptera collected in the SISBIOTA-Diptera,habitus. (a) Tabanus importunus Wiedemann, 1828 (Tabanidae), female, Bodoquena, MS; (b) Rachicerus carrerai Pujol-Luz, 2019 (Xylophagidae), male, Bodoquena, MS; (c) Chrysotus sp. (Dolichopodidae), male, Corumbá, MS; (d) Empidini (Empididae), male, Corumbá, MS; (e) Eudorylas sp. (Pipunculidae), male, Corguinho, MS; (f) Palpada scutellaris (Fabricius, 1805) (Syrphidae), female, Porto Velho, RO; (g) Gaurax sp. (Chloropidae), male, Chapada dos Guimarães, MT; (h) Physegenua sp. (Lauxaniidae), male, Aquidauana, MS; (i) Glyphidops etele Aczél, 1961 (Neriidae), female, Cacaulândia, RO; (j) Phytobia cacaulandia Sousa & Couri, 2018 (Agromyzidae), male, Cacaulândia, RO; (k) Ropalomera sp. (Ropalomeridae), female, Chapada dos Guimarães, MT; (l) Pterocalla sp. (Ulidiidae), male, Porto Murtinho, MS; (m) Senopterina macularis (Fabricius, 1805) (Platystomatidae), male, Bodoquena, MS; (n) Trupanea bonariensis (Brèthes, 1908) (Tephritidae), female, Aquidauana, MS; (o) Noctiliostrebla morena Alcantara, Graciolli & Nihei, 2019 (Streblidae), male, Corumbá, MS; (p) Fannia heydenii (Wiedemann, 1830) (Fanniidae), female, Bodoquena, MS; (q) Polietina prima (Couri & Machado, 1990) (Muscidae), female, Cacaulândia, RO; (r) Chloroprocta idioidea (Robineau-Desvoidy, 1830) (Calliphoridae), male, Cacaulândia, RO; (s) Mesembrinella randa (Walker, 1849) (Mesembrinellidae), male, Monte Negro, RO; (t) Helicobia chapadensis Tibana & Lopes, 1984 (Sarcophagidae), male, Chapada dos Guimarães, MT; (u) Euepalpus flavicauda Townsend, 1908 (Tachinidae), male, Aquidauna, MS. Scale bar = 1 mm.
Figure 5 in The SISBIOTA-Diptera Brazilian Network: A long-term survey of Diptera from unexplored Brazilian Western Arc of Amazon, Cerrado, and Pantanal
Figure 5 Diptera collected in the SISBIOTA-Diptera, habitus. (a) Nephrotoma sp. (Tipulidae), female, Bodoquena, MS; (b) Clogmia sp. (Psychodidae), male, Poconé, MT; (c) Stenochironomus sp. (Chironomidae), male, Aquidauana, MS; (d) Olbiogaster sp. (Anisopodidae), female, Bodoquena, MS; (e) Enicoscolus cf.hardy Fitzgerald, 1997 (Bibionidae), female, Bodoquena, MS; (f) Rhipidita sp. (Ditomyiidae), male, Monte Negro, RO; (g) Diadocidia sp. (Diadocidiidae), female, Porto Velho, RO; (h) Aphrastomyia shannoni Lane, 1956 (Mycetophilidae), male, Porto Velho, RO; (i) Placoceratias gorgasi Matile, 1990 (Keroplatidae), male, Chapada dos Guimarães, MT; (j) Lygistorrhina barrettoi Lane, 1956 (Lygistorrhinidae), male, Bodoquena, MS; (k) Insulestremia sinclairi Jaschhof, 2004 (Cecidomyiidae), male, Bodoquena, MS; (l) Amydrostylus triadicophallus Lamas et al. 2015 (Mythicomyiidae), male, Porto Murtinho, MS; (m) Cerozodus platylobus Camargo, Vieira & Rafael, 2022 (Asilidae), male, Cuiabá, MT; (n) Anthrax trimaculatus Macquart, 1848 (Bombyliidae), female, Porto Murtinho, MS; (o) Messiasia zikani d'Andretta, 1951 (Mydidae), female, Bodoquena, MS; (p) Cerocatus sp. (Therevidae), female, Corguinho, MS; (q) Chrysopilus kafkai Cegolin & Santos, 2021 (Rhagionidae), male, Bodoquena, MS (modified from Cegolin et al. 2020; (r) Pantophthalmus tabaninus Thunberg, 1919 (Pantophthalmidae), female, Porto Velho, RO; (s) Pseudocyphomyia mimetica Kertész, 1916 (Stratiomyidae), male, Monte Negro, RO; (t) Solva sp. (Xylomyidae), female, Rio Verde, MS. Scale bar = 1 mm.
Figure 4 in The invasive Ameiurus nebulosus (Lesueur, 1819) as a permanent part of the fish fauna in selected reservoirs in Central Europe: long-term study of three shallow lakes
Figure 4. Relationship between the relative numbers of the brown bullhead and the total relative numbers of fish (data logtransformed) in the lakes studied; a) Głębokie, b) Sumin, c) Rotcze.
Fig. 2 in Can dams affect the trophic structure of ichthyofauna? A long-term effects in the Neotropical region
Fig. 2. Detrended Correspondence Analysis (DCA) (biplot) considering the fish species of each stretch and the different trophic categories in Jurumirim Reservoir, Upper Paranapanema River, state of São Paulo, Brazil. Acronym of the species in the Table III.
Fig. 3 in Can dams affect the trophic structure of ichthyofauna? A long-term effects in the Neotropical region
Fig. 3. Importance of trophic guilds (in numeric abundance and biomass) by stretch (lotic, transition, and lentic) of Jurumirim Reservoir, Upper Paranapanema River, state of São Paulo, Brazil.
Fig. 4 in Can dams affect the trophic structure of ichthyofauna? A long-term effects in the Neotropical region
Fig. 4. Proportion of the resources used by the species in the three studied zones in Jurumirim Reservoir, Upper Paranapanema River, state of São Paulo, Brazil: 1, Lotic; 2, Transition; 3, Lentic.
Figs 5-7 in Can dams affect the trophic structure of ichthyofauna? A long-term effects in the Neotropical region
Figs 5-7. Trophic interactions networks built with fish species (black) and resources consumed (gray): Fig. 5, Stretch 1 (lotic); Fig. 6, Stretch 2 (transition) and Fig. 7, Stretch 3 (lentic) in Jurumirim Reservoir, Upper Paranapanema River, state of São Paulo, Brazil.
Fig. 1 in Can dams affect the trophic structure of ichthyofauna? A long-term effects in the Neotropical region
Fig. 1. Map of Jurumirim Reservoir (Upper Paranapanema River, state of São Paulo, Brazil) indicating the three samplings zones.
FIGURE 3 in Anthropogenic river fragmentation reduces long-term viability of the migratory fish Salminus brasiliensis (Characiformes: Bryconidae) populations
FIGURE 3 | A. Salminus brasiliensis population structure from the Bayesian cluster analysis for K = 2 (see also S1). Black lines separate the different sampled populations based on location (Pop1, Pop2, Pop3, Pop4 and Pop5; Fig. 1). B. DAPC scatterplots and membership probabilities show the first two principal components of the DAPC. Populations are represented in different colors: 1 - Lilac (Pop5); 2 - Green (Pop4), 3 - Orange (Pop3), 4 - Lilac (Pop2) and 5 - Brown (Pop1). C. Membership probabilities (in bar plots), represent individuals in different clusters.
FIGURE 2 in Anthropogenic river fragmentation reduces long-term viability of the migratory fish Salminus brasiliensis (Characiformes: Bryconidae) populations
FIGURE 2 | Predicted genetic diversity in Salminus brasiliensis populations with distinct fragmentation levels over the next 100 years. Using BOTTLESIM 2.6, we estimated the retained percentage of effective number of alleles (Ae) and expected heterozygosity (He) under 100%, 75% and 50% of retain bottleneck scenarios. In all populations, the current population size is unable to maintain 80% of current genetic diveristy, which it is indicated by a red line.
FIGURE 1 in Anthropogenic river fragmentation reduces long-term viability of the migratory fish Salminus brasiliensis (Characiformes: Bryconidae) populations
FIGURE 1 | Study area of Salminus brasiliensis populations in the Uruguay River basin, southern Brazil. A. Picture of Canyon Agusto César Gorge, Upper Uruguay River (acquired rights); B. Picture of Yucumã our Moconá Falls (google font: https://7mar.com.ar/mocona). Salminus brasiliensis (personal picture).
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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
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.