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Figs 16–20 in The Panjange nigrifrons group in Borneo (Araneae: Pholcidae): high diversity in Sarawak, apparent absence in Sabah
Figs 16–20. Panjange pueh Huber, sp. nov. (ZFMK Ar 14576–77). 16–17. Left male palp, prolateral and retrolateral views. 18. Male ocular area, clypeus, and chelicerae, oblique frontal view (arrow points at distal cheliceral apophysis). 19–20. Cleared female genitalia, ventral and dorsal views. Abbreviations: a = appendix; b = genital bulb; e = embolus; f = femur; p = procursus; ps = proximal bulbal sclerite; tr = trochanter. Scale lines: 0.5 mm.
Figs 33–34 in The Panjange nigrifrons group in Borneo (Araneae: Pholcidae): high diversity in Sarawak, apparent absence in Sabah
Figs 33–34. Panjange kapit Huber, sp. nov. (ZFMK Ar 14583). Left male palp, prolateral and retrolateral views. Abbreviations: a = appendix; b = genital bulb; e = embolus; f = femur; p = procursus; ps = proximal bulbal sclerite; tr = trochanter. Scale line: 1 mm.
Figs 52–60 in The Panjange nigrifrons group in Borneo (Araneae: Pholcidae): high diversity in Sarawak, apparent absence in Sabah
Figs 52–60. Female genitalia, untreated in ventral view, cleared in ventral and dorsal views. 52– 54. Panjange pueh Huber, sp. nov. (ZFMK Ar 14577). 55–57. Pa. niah Huber, sp. nov. (ZFMK Ar 14580). 58–60. Pa. kapit Huber, sp. nov. (ZFMK Ar 14584).
Figs 46–51 in The Panjange nigrifrons group in Borneo (Araneae: Pholcidae): high diversity in Sarawak, apparent absence in Sabah
Figs 46–51. Panjange kapit Huber, sp. nov. (ZFMK Ar 14583). 46. Male prosoma, frontal view. 47. Right distal male cheliceral apophysis. 48. Right procursus (and bulbal processes), dorsal view. 49. Ridges on left procursus, prolateral view. 50. Tip of left appendix, prolateral view. 51. Tip of left procursus (and embolus), ventral view. Abbreviations: a = appendix; e = embolus; p = procursus. Scale lines: 30 µm (47); 60 µm (50); 100 µm (49, 51); 200 µm (48); 400 µm (46).
Figs 8–15. Live specimens. 8–9 in The Panjange nigrifrons group in Borneo (Araneae: Pholcidae): high diversity in Sarawak, apparent absence in Sabah
Figs 8–15. Live specimens. 8–9. Panjange pueh Huber, sp. nov., Ƌ and ♀ from Pueh. 10–14. Pa. kapit Huber, sp. nov. from Kapit. 10–11. Adult Ƌ, 12. Penultimate instar Ƌ, 13–14. ♀ with egg-sac. 15. Pa. niah Huber, sp. nov., ♀ with egg-sac from Niah.
Figs 1–5 in A new species of Speonemadus from Portugal, with the revision of the escalerai-group (Coleoptera, Leiodidae)
Figs 1–5. Speonemadus of the escalerai-group habitus. 1. S. algarvensis sp. nov. (Gruta do Vale Telheiro, Portugal). 2. S. angusticollis (Kraatz, 1870) (Rute, Spain). 3. S. bolivari (Jeannel, 1922) (Ardales, Spain). 4. S. breuili (Jeannel, 1922) (Motillas, Spain). 5. S. escalerai (Uhagón, 1898) (Jumilla, Spain). Scale bar = 1 mm.
Figs 26-31 in A new species of Speonemadus from Portugal, with the revision of the escalerai-group (Coleoptera, Leiodidae)
Figs 26-31. Speonemadus algarvensis sp. nov. scanning electron micrograph. 26. Dorsal view with Laboulbeniales Stichomyces conosomatis pointed out. 27. Ventral view, with detail of phoretic acari. 28. Details of elytron stria and setation. 29. Tip of the antenna. 30. Male protarsus with detail of the ventral pads of the first tarsomere. 31. Posterior dorsal view of the evaginated aedeagus. Scale bars 26–27 = 100 μm, 28–31 = 10 μm.
Figs 16–20 in A new species of Speonemadus from Portugal, with the revision of the escalerai-group (Coleoptera, Leiodidae)
Figs 16–20. Speonemadus of the escalerai-group male protibia. 16. Speonemadus algarvensis sp. nov. (Gruta do Vale Telheiro, Portugal). 17. S. angusticollis (Kraatz, 1870) (Rute, Spain). 18. S. bolivari (Jeannel, 1922) (Ardales, Spain). 19. S. breuili (Jeannel, 1922) (Motillas, Spain). 20. S. escalerai (Uhagón, 1898) (Jumilla, Spain). Scale bar = 0.5 mm.
Figs 21–25 in A new species of Speonemadus from Portugal, with the revision of the escalerai-group (Coleoptera, Leiodidae)
Figs 21–25. Speonemadus of the escalerai-group, aedeagus. 21. Paratype of S. algarvensis sp. nov. (Gruta do Vale Telheiro). 22. S. angusticollis (Kraatz, 1870) (Rute). 23. S. bolivari (Jeannel, 1922) (Ardales). 24. S. breuili (Jeannel, 1922) (Motillas).25. S. escalerai (Uhagón, 1898) (Jumilla). Scale bar = 0.5 mm.
Fig. 32 in A new species of Speonemadus from Portugal, with the revision of the escalerai-group (Coleoptera, Leiodidae)
Fig. 32. Distribution of Speonemadus of the escalerai-group: S. algarvensis sp. nov., S. angusticollis (Kraatz, 1870), S. bolivari (Jeannel, 1922), S. breuili (Jeannel, 1922) and S. escalerai (Uhagón, 1898).
Figs 6–15 in A new species of Speonemadus from Portugal, with the revision of the escalerai-group (Coleoptera, Leiodidae)
Figs 6–15. Speonemadus of the escalerai-group pronotum. 6–7. S. algarvensis sp. nov. (Gruta do Vale Telheiro, Portugal), respectively ♂ and ♀. 8–9. S. angusticollis (Kraatz, 1870) (Rute, Spain) respectively ♂ and ♀. 10–11. S. bolivari (Jeannel, 1922) (Ardales, Spain) respectively ♂ and ♀. 12–13. S. breuili (Jeannel, 1922) (Motillas, Spain) respectively ♂ and ♀. 14–15. S. escalerai (Uhagón, 1898) (Jumilla, Spain) respectively ♂ and ♀. Scale bars = 1 mm.
Data for Groups article
<p>Data, scripts, and analysis results.</p>
Textual groups data
<p>Data matrices, distance matrices, R scripts, and analysis results relating to textual groups.</p>
Figure 4. The graphic representation of the means for the elements component of the technological dimension variable according to the group variable (teachers versus students)
<p>The second hypothesis is confirmed. There are differences between teachers’ and<br> students’ representations on the technological dimension of private life. Test t results show<br> that teachers have a more positive perception than students for the next component of<br> technological dimensions: Personal Self [t(2344) = 4,446, p <0,05], Adaptive Self [t(2344) =<br> 2,757, p <0,05], Primary groups [t(2344) = 3,192, p <0,005] (Table 3, Figure 4).</p>
Figure 11. Group mutation-Neuroevolution Mechanism for Hidden Markov Model
<p>This happens by swapping two complete groups with summation of 1.0 with the same criteria.<br> Figure 10 shows a case of this.</p>
Figure 9. Classification accuracy regardless the ethnic group (Total accuracy 75%)-Impact of Ethnic Group on Human Emotion Recognition Using Backpropagation Neural Network
<p>Our experiments show that, the impact of ethnic group on the accuracy of emotions<br> recognition is a positive where the accuracy of emotion recognition considering ethnic group is<br> 83.3% as shown in Figure 8, and we got 75% of accuracy regardless ethnic group as shown in<br> Figure 9.</p>
Figure 8. Classification accuracy of emotions considering the ethnic group-Impact of Ethnic Group on Human Emotion Recognition Using Backpropagation Neural Network
<p>To study the accuracy of emotion recognition for our approach regardless the ethnic group<br> we used 108 images for the training representing six emotions of six persons. For testing, we used<br> 36 images representing six emotions of six persons.<br> On the other hand, to study the accuracy of emotion recognition for our approach<br> considering the ethnic group we used 36 images for training for each ethnic group representing six<br> emotions of six persons, and test the classifier by using 12 images representing six emotions of six<br> persons.</p>
Group-level trait and individual performance: the impact of in-nest activity on food recruitment in ants
<p>Dataset, R and Python scripts corresponding to the results displayed in the article "Group-level trait and individual performance: the impact of in-nest activity on food recruitment in ants".</p> <p>R script works in pair with all three .csv files.</p> <p>.txt files are example of output generated by the Python script that analyses a worker's path inside the nest.</p> <p>3 videos from the experiment are also available. They allow visualization of the setup as well as testing of Python scripts.</p>
Fig. 8 Urine miRNA profile analysis among different groups. a in A combined miRNA-piRNA signature in the serum and urine of rabbits infected with ToxoplaSMa gondii oocysts
Fig. 8 Urine miRNA profile analysis among different groups. a The volcano plot shows the individual statistically significant miRNA between acutely infected rabbits and control rabbits. In this plot, the x-axis is log2 fold-change, which shows the direction of the change (negative scale is decrease and positive scale is increase) in the levels of miRNA expression, while the y-axis is the –log10 FDR, which shows the significance of the change. b The volcano plot shows the individual statistically significant miRNA between chronically infected rabbits and control rabbits. c The volcano plot shows the individual statistically significant miRNA between acutely infected rabbits and chronically infected rabbits. d Venn diagram shows number of differentially expressed miRNA among different comparison pairs
Fig. 6 Serum miRNA profile analysis among different groups. a in A combined miRNA-piRNA signature in the serum and urine of rabbits infected with ToxoplaSMa gondii oocysts
Fig. 6 Serum miRNA profile analysis among different groups. a The volcano plot shows the individual statistically significant miRNA between acutely infected group and control group. In this plot, the x-axis is log2 fold-change, which shows the direction of the change (negative scale is decrease and positive scale is increase) in the levels of miRNA expression, while the y-axis is the –log10 FDR, which shows the significance of the change. b The volcano plot shows the individual statistically significant miRNA between chronically infected rabbits and control rabbits. c The volcano plot shows the individual statistically significant miRNA between acutely infected rabbits and chronically infected rabbits. d Venn diagram shows number of differentially expressed miRNA among different comparison pairs. FDR represents false discovery rate
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.