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Fig. 13. Measurements for A in A revision of the Afrotropical species of the Dorylinae ant genus Aenictus (Hymenoptera: Formicidae) based on the worker caste
Fig. 13. Measurements for A. eugenii and its subspecies.
Fig. 8 in A revision of the Afrotropical species of the Dorylinae ant genus Aenictus (Hymenoptera: Formicidae) based on the worker caste
Fig. 8. Distribution of A. decolor. Type locality for A. decolor is "East Africa".
Fig. 17 in A revision of the Afrotropical species of the Dorylinae ant genus Aenictus (Hymenoptera: Formicidae) based on the worker caste
Fig. 17. Distribution of A. eugenii.
Fig. 16 in A revision of the Afrotropical species of the Dorylinae ant genus Aenictus (Hymenoptera: Formicidae) based on the worker caste
Fig. 16. Nest Centered Cluster Analysis (NCCA) for A. eugenii and its subspecies.
Fig. 15 in A revision of the Afrotropical species of the Dorylinae ant genus Aenictus (Hymenoptera: Formicidae) based on the worker caste
Fig. 15. Principal Component Analysis (PCA) for A. eugenii and its subspecies.
Fig. 4 in A revision of the Afrotropical species of the Dorylinae ant genus Aenictus (Hymenoptera: Formicidae) based on the worker caste
Fig. 4. Distribution of A. asantei.
Tomographic data of density of cast TNT
<p><em><strong>The tomographic data as a stack of density maps (cast TNT), which can be visualized using ParaView code.</strong></em></p>
Figure 4 from: Onagbola EO, Scheffrahn RH (2017) African Neotermes: redescriptions of imago and soldier castes of N. aburiensis and N. agilis (Isoptera, Kalotermitidae). ZooKeys 683: 25-37. https://doi.org/10.3897/zookeys.683.13064
Figure 4 - Head and pronotum of Neotermes aburiensis soldier. A Dorsal B lateral C ventral, and D oblique views.
Figure 3 from: Onagbola EO, Scheffrahn RH (2017) African Neotermes: redescriptions of imago and soldier castes of N. aburiensis and N. agilis (Isoptera, Kalotermitidae). ZooKeys 683: 25-37. https://doi.org/10.3897/zookeys.683.13064
Figure 3 - Neotermes aburiensis forewing (A) and hind wing (B). Neotermes agilis fore wing (C) and hind wing (D). RS = radial sector, M = median vein.
Figure 2 from: Onagbola EO, Scheffrahn RH (2017) African Neotermes: redescriptions of imago and soldier castes of N. aburiensis and N. agilis (Isoptera, Kalotermitidae). ZooKeys 683: 25-37. https://doi.org/10.3897/zookeys.683.13064
Figure 2 - Neotermes setae on pronotum cuticle. Neotermes aburiensis (A, B) and N. castaneus (Burmeister) (C, D).
Figures 8-9 from: Lang dos Santos M, Lemos VM, Vieira JP (2018) No mullet, no gain: cooperation between dolphins and cast net fishermen in southern Brazil. Zoologia 35: 1-13. https://doi.org/10.3897/zoologia.35.e24446
Figures 8-9 Expected occurrence of Mugilliza for predictors of the binomial model. Number of dolphins (8) and month (9); the black lines indicate the moving averages; dark gray areas represent the 95% confidence intervals of the predictions.
Figures 2-7 from: Lang dos Santos M, Lemos VM, Vieira JP (2018) No mullet, no gain: cooperation between dolphins and cast net fishermen in southern Brazil. Zoologia 35: 1-13. https://doi.org/10.3897/zoologia.35.e24446
Figures 2-7 Seasonal variation of the predictive variables: (2) Mean and standard deviation of water temperature, min. 15 °C and max. 27 °C; (3) Mean and standard deviation of salinity, min. 1 PSU and max. 36 PSU; (4) Mean and standard deviation of number of dolphins, min. 0 and max. 5; (5) Frequency of occurrence% of water flow direction (ebb, flood, slack water) in the entrance channel; (6) Frequency of occurrence% of wind direction (Northerly, Southerly, Easterly); (7) Frequency of occurrence% of the fishing sector (S1, S2, S3, S4 or S5).
Figures 10-12 from: Lang dos Santos M, Lemos VM, Vieira JP (2018) No mullet, no gain: cooperation between dolphins and cast net fishermen in southern Brazil. Zoologia 35: 1-13. https://doi.org/10.3897/zoologia.35.e24446
Figures 10-12 Expected abundance of Mugilliza for predictors of the gamma model. Number of dolphins (10), month (11) and fishing area (12); the black line indicates the moving average; dark gray areas represent the 95% confidence intervals of the predictions.
Figure 18 from: Lang dos Santos M, Lemos VM, Vieira JP (2018) No mullet, no gain: cooperation between dolphins and cast net fishermen in southern Brazil. Zoologia 35: 1-13. https://doi.org/10.3897/zoologia.35.e24446
Figure 18 Seasonal variation in total length (mean and standard deviation) of Mugilliza caught in the presence or absence of dolphins.
Figure 1 from: Lang dos Santos M, Lemos VM, Vieira JP (2018) No mullet, no gain: cooperation between dolphins and cast net fishermen in southern Brazil. Zoologia 35: 1-13. https://doi.org/10.3897/zoologia.35.e24446
Figure 1 Study area and sampled fishing sectors (sampling sectors) in the Tramandaí River Estuary (TRE) in southern Brazil. The circles represent the sectors sampled.
Figures 14-17 from: Lang dos Santos M, Lemos VM, Vieira JP (2018) No mullet, no gain: cooperation between dolphins and cast net fishermen in southern Brazil. Zoologia 35: 1-13. https://doi.org/10.3897/zoologia.35.e24446
Figures 14-17 Catch per unit effort (CPUE-LC%) by body size classes (10 mm) of the mullet. (14) summer, (15) autumn, (16) winter and (17) spring.
Figure 13 from: Lang dos Santos M, Lemos VM, Vieira JP (2018) No mullet, no gain: cooperation between dolphins and cast net fishermen in southern Brazil. Zoologia 35: 1-13. https://doi.org/10.3897/zoologia.35.e24446
Figure 13 Seasonal variation in fishing effort. Means and standard deviations of the effort in the presence or absence of dolphins.
Fig. 11. Hoplotermes amplus P1 in Gut anatomy of the worker caste of Neotropical genera Cylindrotermes Holmgren and Hoplotermes Light (Infraorder Isoptera, Termitidae)
Fig. 11. Hoplotermes amplus P1 ornaments: (a) schematic drawing of P1 showing arrangement of spines, with b indicating robust spines in proximal region, and indicating sparse short spines laterally and distally; (b) detail of robust proximal spines; (c) detail of sparse short spines (MT, mesenteric tongue space).
Fig. 8 in Gut anatomy of the worker caste of Neotropical genera Cylindrotermes Holmgren and Hoplotermes Light (Infraorder Isoptera, Termitidae)
Fig. 8. Cylindrotermes parvignathus worker gut in situ: (a) dorsal, (b) right (arrow: enteric valve insertion), (c) ventral, and (d) left views, and (e) detail of mixed segment and Malpighian tubules insertion (arrow). Gray indicates mesenteric tissue; c: crop; M: mesenteron; MT: mesenteric tongue, i: isthmus, P1: first proctodeal segment (ileum); P3: third proctodeal segment (paunch); P4: fourth proctodeal segment (colon); P5: fifth proctodeal segment (rectum).
Fig. 5 in Gut anatomy of the worker caste of Neotropical genera Cylindrotermes Holmgren and Hoplotermes Light (Infraorder Isoptera, Termitidae)
Fig. 5. Cylindrotermes macrognathus: (a) detail of gizzard armature (small arrow: crop pectinate scales), (b) enteric valve, with one of the cushions outlined (large arrow: proximal pad, small arrow: distal portion).
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.