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Figures 3-6 from: Deliberalli W, Cansian RL, Mielniczki Pereira AM, Loureiro RC, Hepp LU, Restello RM (2018) The effects of heavy metals on the incidence of morphological deformities in Chironomidae (Diptera). Zoologia 35: 1-7. https://doi.org/10.3897/zoologia.35.e12947
Figures 3-6 Deformities in the mentum of Chironomus (oral cavity): (3) standard mentum; (4) deformed mentum (deletion of teeth); (5) deformed mentum (addition of teeth); (6) deformed mentum (tooth wear).
Figure 2 from: Deliberalli W, Cansian RL, Mielniczki Pereira AM, Loureiro RC, Hepp LU, Restello RM (2018) The effects of heavy metals on the incidence of morphological deformities in Chironomidae (Diptera). Zoologia 35: 1-7. https://doi.org/10.3897/zoologia.35.e12947
Figure 2 Zinc concentration (mean ± standard error) and copper at the collection sites of Tigre River, Erechim, RS, Brazil.
Figures 7-8 from: Deliberalli W, Cansian RL, Mielniczki Pereira AM, Loureiro RC, Hepp LU, Restello RM (2018) The effects of heavy metals on the incidence of morphological deformities in Chironomidae (Diptera). Zoologia 35: 1-7. https://doi.org/10.3897/zoologia.35.e12947
Figures 7-8 Pearson's linear correlation between Copper (7) and zinc (8) concentrations and the incidence of deformities in the mentum of Chironomus (oral cavity) Chironomus.
Figure 5 from: Sampaio ILR, Santos CP, França RC, Pedrosa IMMC, Solé M, França FGR (2018) Ecological diversity of a snake assemblage from the Atlantic Forest at the south coast of Paraíba, northeast Brazil. ZooKeys 787: 107-125. https://doi.org/10.3897/zookeys.787.26946
Figure 5 Species from the Atlantic Forest in south coast of Paraíba: APhilodryaspatagoniensisBPhimophisgueriniCSibonnebulatusDSibynomorphusmikaniiETaeniophallusoccipitalisFXenodonmerremiiGMicrurusibibobocaHMicruruspotyguaraIEpictiaborapeliotesJAmerotyphlopsbrongersmianusKBothropsleucurusLCrotalusdurissus. Photograph credits: Ivan L. Sampaio (A, B, D, E, H, I), Frederico G. França (F, G, J, L), Pedro T. S. Moura (C) Rafaela C. França (K).
Figure 3 from: Sampaio ILR, Santos CP, França RC, Pedrosa IMMC, Solé M, França FGR (2018) Ecological diversity of a snake assemblage from the Atlantic Forest at the south coast of Paraíba, northeast Brazil. ZooKeys 787: 107-125. https://doi.org/10.3897/zookeys.787.26946
Figure 3 Phytophisiognomies of Atlantic Forest in south coast of Paraíba. A Forest B Restinga C Savanna enclave (Tabuleiro). Photograph credits: Ivan L. Sampaio (A, B), Frederico G. França (C).
Figure 2 from: Sampaio ILR, Santos CP, França RC, Pedrosa IMMC, Solé M, França FGR (2018) Ecological diversity of a snake assemblage from the Atlantic Forest at the south coast of Paraíba, northeast Brazil. ZooKeys 787: 107-125. https://doi.org/10.3897/zookeys.787.26946
Figure 2 Variation of temperature, maximum (line with square) and minimum (line with triangle), precipitation as bars. Data from January 2012 and December 2013 (Source: INMET, http://www.inmet.gov.br/portal/index.php?r=bdmep/bdmep).
Figure 1 from: Sampaio ILR, Santos CP, França RC, Pedrosa IMMC, Solé M, França FGR (2018) Ecological diversity of a snake assemblage from the Atlantic Forest at the south coast of Paraíba, northeast Brazil. ZooKeys 787: 107-125. https://doi.org/10.3897/zookeys.787.26946
Figure 1 Schematic map showing the south coast of Paraíba state. Detail box: Barra de Gramame, located in the municipality of João Pessoa. The numbers represent the following municipalities: 1 João Pessoa 2 Conde 3 Alhandra 4 Pitimbu 5 Caaporã and 6 Pedras de Fogo.
Figure 6 from: Sampaio ILR, Santos CP, França RC, Pedrosa IMMC, Solé M, França FGR (2018) Ecological diversity of a snake assemblage from the Atlantic Forest at the south coast of Paraíba, northeast Brazil. ZooKeys 787: 107-125. https://doi.org/10.3897/zookeys.787.26946
Figure 6 Individual-based rarefaction curve with standard deviation of snake species of south coast of Paraíba.
Figure 4 from: Sampaio ILR, Santos CP, França RC, Pedrosa IMMC, Solé M, França FGR (2018) Ecological diversity of a snake assemblage from the Atlantic Forest at the south coast of Paraíba, northeast Brazil. ZooKeys 787: 107-125. https://doi.org/10.3897/zookeys.787.26946
Figure 4 Species from the Atlantic Forest in south coast of Paraíba. ABoaconstrictorBEpicratesassisiCCorallushortulanusDChironiusflavolineatusEOxybelisaeneusFMastigodryasbifossatusGSpilotespullatusHTantillamelanocephalaIErythrolamprustaeniogasterJHelicopsangulatusKHydrodynastesgigasLOxyrhopuspetolariusMOxyrhopustrigeminusNPhilodryasnattereriOPhilodryasolfersii. Photograph credits: Ivan L. Sampaio (A, B, C, E, K, L, M, N, O), Frederico G. França (D, H, I, J), Mayara Morais (F), Willianilson Pessoa (G).
Multi-classifier for RC bridge defects
<p>Classifying concrete defects during a bridge inspection remains a subjective and laborious task. The risk of getting a false result is approximately 50% if different inspectors assess the same concrete defect. This is significant in the light of an over-ageing bridge stock, decreasing infrastructure maintenance budgets and catastrophic bridge collapses as happened in 2018 in Genoa, Italy. To support an automated inspection and an objective bridge defect classification, we propose a three-staged concrete defect classifier that can multi-classify potentially unhealthy bridge areas into their specific defect type in conformity with existing bridge inspection guidelines. Three separate deep neural pre-trained networks are fine-tuned based on multi-source dataset consisting of self-collected image samples plus several Departments of Transportation inspection databases. We show that this approach can reliably classify multiple defect types with an average mean score of 85%. Our presented multi-classifier is a contribution towards developing a mostly or fully inspection schema for a more cost effective and more objective bridge inspection.</p>
Shake Table tests on one-third scaled RC frames
<p>Shake Table test data on five one-third scaled RC frame models</p>
Figure 9 from: Conway KW, Mateos M, Vrijenhoek RC (2019) A new species of the livebearing fish genus Poeciliopsis from northern Mexico (Cyprinodontiformes: Poeciliidae). ZooKeys 883: 91-118. https://doi.org/10.3897/zookeys.883.37586
Figure 9 Poeciliopsis jackschultzi, Mexico, Sonora, Río Concepción a male b female. Paratype specimens. Not measured, not identified in field.
Figure 8 from: Conway KW, Mateos M, Vrijenhoek RC (2019) A new species of the livebearing fish genus Poeciliopsis from northern Mexico (Cyprinodontiformes: Poeciliidae). ZooKeys 883: 91-118. https://doi.org/10.3897/zookeys.883.37586
Figure 8 Schematic diagram of the distal tip of the gonopodium in Poeciliopsis jackschultzi (TCWC 20082.01, paratype, male, 19.0 mm SL). Abbreviations: R3, ray 3; R4a, ray 4 anterior branch (intermediate grey); R4p, ray 4 posterior branch (light grey); R5p, ray 5 posterior branch (dark grey).
Figure 6 from: Conway KW, Mateos M, Vrijenhoek RC (2019) A new species of the livebearing fish genus Poeciliopsis from northern Mexico (Cyprinodontiformes: Poeciliidae). ZooKeys 883: 91-118. https://doi.org/10.3897/zookeys.883.37586
Figure 6 Viscerocranium of Poeciliopsis jackschultzi (TCWC 20082.01, paratype, female, 23.0 mm SL) a hyopalatine arch right side in lateral view (image reversed) b ventral gill arches in dorsal view c dorsal gill arches (right side) in dorsal view d dorsal gill arches (right side) in ventral view (image reversed). Opercular bones outlined in black in a. Scale bar shared between c and d. Abbreviations: Aa, anguloarticular; Apa, autopalatine; Bb1C, basibranchial 1 cartilage; Bb2-3, basibranchials 2–3; Bh, basihyal; Cb1-5, ceratobranchials 1–5; De, dentary; Eb1-4, epibranchial 1–4; Ectp, ectopterygoid; Enpt, endopterygoid; Hb1-3, hypobranchials 1–3; Hy, hyomandibular; IC, interarcular cartilage; Iop, interopercle; GR, gill raker; Mx, maxilla; Op, opercle; Pb2-3, pharyngobranchial 2–3; Pbtp4, pharyngobranchial toothplate 4; Pmx, premaxilla; Pop, preopercle; Q, quadrate; Ra, retroarticular; Sop, subopercle; Sy, symplectic.
Figure 5 from: Conway KW, Mateos M, Vrijenhoek RC (2019) A new species of the livebearing fish genus Poeciliopsis from northern Mexico (Cyprinodontiformes: Poeciliidae). ZooKeys 883: 91-118. https://doi.org/10.3897/zookeys.883.37586
Figure 5 Mouth of Poeciliopsis jackschultzi in dorsal view (anterior to top of page) aCNP-IBUNAM 23406, holotype, male, 20.3 mm SL bTCWC 20082.01, paratype, female, 23.0 mm SL. Cusps of dentary teeth highlighted in dark grey on right side in a and b. Shaft of dentary teeth highlighted in light grey on right side in b. Abbreviations: AN, anterior nostril; D, dentary; DO, dentary teeth of outer row; DI, dentary teeth of inner row; EthP, ethmoid plate; Mx, maxilla; Pmx, premaxilla; LL, lower lip; UL, upper lip.
Figure 7 from: Conway KW, Mateos M, Vrijenhoek RC (2019) A new species of the livebearing fish genus Poeciliopsis from northern Mexico (Cyprinodontiformes: Poeciliidae). ZooKeys 883: 91-118. https://doi.org/10.3897/zookeys.883.37586
Figure 7 Gill rakers on ceratobranchials 2/3–5 in PoeciliopsisaP. jackschultzi, TCWC 20082.01, paratype, female, 23.0 mm SL bP. lucida, UMMZ 189041, female, 24.0 mm SL cP. monacha, UMMZ 178246, female, 22.0 mm SL. Gill filaments removed. Abbreviations: C2–5, ceratobranchials 2–5; Cb4T, teeth on ceratobranchial 4; GR1b, 2, 3, type 1b, 2, or 3 gill rakers; GRT, gill-raker tooth.
Figure 4 from: Conway KW, Mateos M, Vrijenhoek RC (2019) A new species of the livebearing fish genus Poeciliopsis from northern Mexico (Cyprinodontiformes: Poeciliidae). ZooKeys 883: 91-118. https://doi.org/10.3897/zookeys.883.37586
Figure 4 Sclerotic cartilage and sclerotic ossifications in members of Poeciliopsis (right side, image reversed) aP. jackschultzi, TCWC 20082.01, paratype, female, 23.0 mm SL bP. lucida, UMMZ 189041, female, 24.0 mm cP. occidentalis, UMMZ 202393, female, 35.0 mm SL. Abbreviations: AS, anterior sclerotic. PS, posterior sclerotic; SC, scleral cartilage; Scale bar: 0.4 mm.
Figure 2 from: Conway KW, Mateos M, Vrijenhoek RC (2019) A new species of the livebearing fish genus Poeciliopsis from northern Mexico (Cyprinodontiformes: Poeciliidae). ZooKeys 883: 91-118. https://doi.org/10.3897/zookeys.883.37586
Figure 2 Poeciliopsis jackschultzi, TCWC 20082.01, paratype, female, 26.7 mm SL; Mexico, Sonora, Río Concepción.
Figure 1 from: Conway KW, Mateos M, Vrijenhoek RC (2019) A new species of the livebearing fish genus Poeciliopsis from northern Mexico (Cyprinodontiformes: Poeciliidae). ZooKeys 883: 91-118. https://doi.org/10.3897/zookeys.883.37586
Figure 1 Poeciliopsis jackschultzi, CNP-IBUNAM 23406, holotype, male, 20.3 mm SL; Mexico, Sonora, Río Concepción.
Figure 11 from: Conway KW, Mateos M, Vrijenhoek RC (2019) A new species of the livebearing fish genus Poeciliopsis from northern Mexico (Cyprinodontiformes: Poeciliidae). ZooKeys 883: 91-118. https://doi.org/10.3897/zookeys.883.37586
Figure 11 Habitat of Poeciliopsis jackschultzia La Atascosa, small spring tributary to Alisos-Bambuto branch of the Río Concepción at highway 15 road crossing close to Rancho Semarnap, type locality (site D in Fig. 10, Table 4) b pool at Rancho Las Playas, tributary to Alisos-Bambuto branch (site F in Fig. 10, Table 4) c Río Concepción at (Cocospera-Babasac branch) at town of Imuris (site H in Fig. 10, Table 4).
ScienceDex guides
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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.