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zenodo40/100

BRAIN Journal-ANNSVM: A Novel Method for Graph-Type Classification by Utilization of Fourier Transformation, Wavelet Transformation, and Hough Transformation-Figure 8. Simulation of Coiflet 1 (PyWavelets discussion group, 2008), analyzing as one-dimensional images

<p>Using only the wavelet coefficients was inadequate for classification. For example, for the pie chart, we obtained large wavelet coefficients located in the low-frequency domain; however, if we changed a circle in the pie chart to other shapes, such as a radar chart, the wavelet transformation gave results that were similar to those of the original pie chart. The Hough transformation can solve this problem since it detects the shapes of objects</p>

opencc-by-4.0Jul 2017View details →
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BRAIN Journal-ANNSVM: A Novel Method for Graph-Type Classification by Utilization of Fourier Transformation, Wavelet Transformation, and Hough Transformation-Figure 2. Illustrating the core process of one-dimensional image construction by applying a DFT

<p>First, we collect graph images as raw data, which contain different scales and sizes, and therefore need to be normalized. We clean the images by omitting irrelevant areas. For example, we omit unnecessary text that has nothing to do with our classification procedure. Moreover, to standardize the sizes and shapes of the images, we resize and reshape them to be 64 x 64 squares. Second, we examine each image pixel, each of which contains one color value. After each pixel is projected along the x- and y-axes, we count the number of projected pixels with a color value greater than zero to reduce image dimensionality. We, therefore, obtain two one-dimensional images from the x- and y-axes.&nbsp;&nbsp;</p>

opencc-by-4.0Jul 2017View details →
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BRAIN Journal-Swarm Robotics with Circular Formation Motion Including Obstacles Avoidance-Figure 22: Fifth Obstacle (obstacle with two entries that each allow the passing of one robot)

<p>The swarm movement and obstacle avoidance are shown in Figures 8, 9 and 10 for the first obstacle. Figures 11, 12 and 13 are to present the second obstacle and its avoidance. Figures 14, 15, 16 and 17 are to present the third obstacle and its avoidance. Figures 18, 19, 20 and 21 are to present the fourth obstacle and its avoidance. Figures 22, 23, 24 and 25 present the fifth obstacle and its avoidance.&nbsp;</p>

opencc-by-4.0Jul 2017View details →
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BRAIN Journal-Swarm Robotics with Circular Formation Motion Including Obstacles Avoidance-Figure 12: Second obstacle with 100 robots before passing any robot (allows one group set to pass at a time)

<p>The swarm movement and obstacle avoidance are shown in Figures 8, 9 and 10 for the first obstacle. Figures 11, 12 and 13 are to present the second obstacle and its avoidance. Figures 14, 15, 16 and 17 are to present the third obstacle and its avoidance. Figures 18, 19, 20 and 21 are to present the fourth obstacle and its avoidance. Figures 22, 23, 24 and 25 present the fifth obstacle and its avoidance.</p>

opencc-by-4.0Jul 2017View details →
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BRAIN Journal-Swarm Robotics with Circular Formation Motion Including Obstacles Avoidance-Figure 8 : The first obstacle (allows one robot to pass at a time)

<p>The swarm movement and obstacle avoidance are shown in Figures 8, 9 and 10 for the first obstacle. Figures 11, 12 and 13 are to present the second obstacle and its avoidance. Figures 14, 15, 16 and 17 are to present the third obstacle and its avoidance. Figures 18, 19, 20 and 21 are to present the fourth obstacle and its avoidance. Figures 22, 23, 24 and 25 present the fifth obstacle and its avoidance.&nbsp;</p>

opencc-by-4.0Jul 2017View details →
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BRAIN Journal-Swarm Robotics with Circular Formation Motion Including Obstacles Avoidance-Figure 18: Fourth Obstacle (a part of the obstacle can be passed by a group set but the other part can be passed by only one robot at a time)

<p>The swarm movement and obstacle avoidance are shown in Figures 8, 9 and 10 for the first obstacle. Figures 11, 12 and 13 are to present the second obstacle and its avoidance. Figures 14, 15, 16 and 17 are to present the third obstacle and its avoidance. Figures 18, 19, 20 and 21 are to present the fourth obstacle and its avoidance. Figures 22, 23, 24 and 25 present the fifth obstacle and its avoidance.&nbsp;</p>

opencc-by-4.0Jul 2017View details →
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Fig. 9 in Description of one new genus and four new species of mynoglenine spiders from Africa (Araneae: Linyphiidae: Mynogleninae)

Fig. 9. Afroneta serrata sp. nov. A–C. Holotype, ♂ (UPSZMC 67569). A. Palp, retrolateral. B. Paracymbium, retrolateral. C. Prolateral. D–F. Allotype, ♀ (UPSZMC 67569). D. Epigyne, ventral. E. Aboral. F. Vulva, dorsal.

opencc-by-4.0Mar 2018View details →
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Fig. 7. Afroneta elgonensis Merrett, 2004. A–H in Description of one new genus and four new species of mynoglenine spiders from Africa (Araneae: Linyphiidae: Mynogleninae)

Fig. 7. Afroneta elgonensis Merrett, 2004. A–H. Allotype, ♂ (UPSZMC 67572). A. Left bulbus (mirrored), dorsal. B. Retrolateral. C. Ventral. D. Prolateral. E. Left palp (mirrored), dorsal. F. Retrolateral. G. Ventral. H. Retrolateral. I–K. ♀ (UPSZMC 67572). I. Epigyne ventral. J. Aboral. K. Dorsal. Scale bars: 200 µm.

opencc-by-4.0Mar 2018View details →
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Fig. 6 in Description of one new genus and four new species of mynoglenine spiders from Africa (Araneae: Linyphiidae: Mynogleninae)

Fig. 6. Afroneta flavescens sp. nov. A–B. Allotype, ♀ (UPSZMC 67564). A. Habitus, frontal. B. Dorsal. C. Holotype, ♂ (UPSZMC 67563), habitus, dorsal. — D–G. Afroneta elgonensis Merrett, 2004. D. Allotype, ♂ (UPSZMC 67572), habitus, frontal. E. ♀, habitus, dorsal. F-G. Allotype, ♂ (UPSZMC 67572). F. Habitus, dorsal. G. Petiolus, ventral. Scale bars: 500 µm.

opencc-by-4.0Mar 2018View details →
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Fig. 5 in Description of one new genus and four new species of mynoglenine spiders from Africa (Araneae: Linyphiidae: Mynogleninae)

Fig. 5. Afroneta flavescens sp. nov. A–D. Holotype, ♂ (UPSZMC 67563). A. Palp, retrolateral. B. Ventral. C. Prolateral. D. Dorsal. E–H. Allotype, ♀ (UPSZMC 67564). E. Epigyne, ventral. F. Aboral. G. Cleared vulva, ventral. H. Cleared vulva, dorsal. Scale bars: 200 µm.

opencc-by-4.0Mar 2018View details →
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Fig. 12 in Description of one new genus and four new species of mynoglenine spiders from Africa (Araneae: Linyphiidae: Mynogleninae)

Fig. 12. Afroneta sarahae sp. nov. A–D. Holotype, ♂ (ZMUN 24056). A. Palp, retrolateral. B. Ventral. C. Prolateral. D. Dorsal. E–H. Allotype, ♀ (ZMUN 24056). E. Epigyne, ventral. F. Cleared vulva, aboral. G. Ventral. H. Dorsal. Scale bars: 200 µm.

opencc-by-4.0Mar 2018View details →
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Fig. 2 in Description of one new genus and four new species of mynoglenine spiders from Africa (Araneae: Linyphiidae: Mynogleninae)

Fig. 2. Camafroneta oku gen. et sp. nov. A–D. Holotype, ♂ (ZMUC00046889). A. Palp, retrolateral. B. Ventral. C. Prolateral. D. Dorsal. E–H. Allotype, ♀ (ZMUC00046889). E. Epigyne, ventral. F. Aboral. G. Cleared vulva, ventral. H. Dorsal. Scale bars: 200 µm.

opencc-by-4.0Mar 2018View details →
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Fig. 1 in Description of one new genus and four new species of mynoglenine spiders from Africa (Araneae: Linyphiidae: Mynogleninae)

Fig. 1. Camafroneta oku gen. et sp. nov. A–B. Holotype, ♂ (ZMUC00046889). A. Palp, retrolateral. B. Prolateral. C–D. Allotype, ♀ (ZMUC00046889). C. Epigyne, ventral. D. Vulva, dorsal. E. ♀ (ZMUC00046901) metatarsus 1, retrolateral.

opencc-by-4.0Mar 2018View details →
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Fig. 4 in Description of one new genus and four new species of mynoglenine spiders from Africa (Araneae: Linyphiidae: Mynogleninae)

Fig. 4. Afroneta flavescens sp. nov. A–B. Holotype, ♂ (UPSZMC 67563). A. Palp, retrolateral. B. Prolateral. C–D. Allotype, ♀ (UPSZMC 67564). C. Epigyne, ventral. D. Vulva, dorsal.

opencc-by-4.0Mar 2018View details →
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Fig. 8. Afroneta elgonensis Merrett, 2004. A–D in Description of one new genus and four new species of mynoglenine spiders from Africa (Araneae: Linyphiidae: Mynogleninae)

Fig. 8. Afroneta elgonensis Merrett, 2004. A–D. Allotype, ♂ (UPSZMC 67572). A. Bulbus, prolateral. B. Dorsal. C. Ventral. D. Palp, dorsal. E–F. ♀ (UPSZMC 67572). E. Epigyne, ventral. F. Vulva, dorsal.

opencc-by-4.0Mar 2018View details →
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Fig. 11. A–C in Description of one new genus and four new species of mynoglenine spiders from Africa (Araneae: Linyphiidae: Mynogleninae)

Fig. 11. A–C. Afroneta serrata sp. nov. A. Holotype, ♂ (UPSZMC 67569), habitus, frontal. B. Allotype, ♀ (UPSZMC 67569), habitus, dorsal. C. ♂ (UPSZMC 67570), habitus, dorsal. — D–F. Afroneta sarahae sp. nov. D. Holotype, ♂ (ZMUN 24056), habitus, frontal. E. Allotype, ♀ (ZMUN 24056), habitus, dorsal. F. Holotype, ♂ (ZMUN 24056), habitus, dorsal. Scale bars: 500 µm.

opencc-by-4.0Mar 2018View details →
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Fig. 13 in Description of one new genus and four new species of mynoglenine spiders from Africa (Araneae: Linyphiidae: Mynogleninae)

Fig. 13. Afroneta sarahae sp. nov. A–F. Holotype, ♂ (ZMUN 24056). A. Palp, retrolateral. B. Paracymbium different angle, retrolateral. C. Palp, paracymbium different angle, retrolateral. D. Right palp specimen 2, paracymbium, retrolateral. E. Left palp specimen 2, paracymbium, retrolateral. F. Palp, prolateral. G–H. Allotype, ♀ (ZMUN 24056). G. Epigyne, ventral. H. Vulva, dorsal. Scale bar: 200 µm.

opencc-by-4.0Mar 2018View details →
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Fig. 10 in Description of one new genus and four new species of mynoglenine spiders from Africa (Araneae: Linyphiidae: Mynogleninae)

Fig. 10. Afroneta serrata sp. nov. A–D. ♂ (UPSZMC 67570). A. Palp, retrolateral. B. Ventral. C. Prolateral. D. Dorsal. E–H. Allotype, ♀ (UPSZMC 67569). E. Epigyne, ventral. F. Aboral. G. Cleared vulva, ventral. H. Dorsal. Scale bars: 200 µm.

opencc-by-4.0Mar 2018View details →
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Fig. 3 in Description of one new genus and four new species of mynoglenine spiders from Africa (Araneae: Linyphiidae: Mynogleninae)

Fig. 3. Camafroneta oku gen. et sp. nov. A, D. Allotype, ♀ (ZMUC00046889). B, C, E–G. Holotype, ♂ (ZMUC00046889). A. Habitus, frontal. B. Habitus, frontal. C. Sternum. D. Habitus, dorsal. E. Habitus, dorsal. F. Habitus, lateral. G. Petiolus, ventral. Scale bars: 500 µm.

opencc-by-4.0Mar 2018View details →
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Success in Mobile and Ubiquitous Learning: Indicators of Effectiveness-Figure 8. Functions of the mobile devices used in the practices (Note: Each case could involve the use of more than one function.)

<p>Figure 8 captures the functions of mobile devices used in the practices. The results show that tailor-made applications for specific practices were most common (74%), followed by the use of a speaker (32%) and a camera (26%), where learners had to listen to audio materials using speakers or access online information by scanning QR-codes through cameras. In the various practices, other functions were also used, such as messaging (16%) for interacting with diverse parties and GPS (14%) for outdoor learning activities. For the practices using older models of mobile devices without cameras, tools such as an RFID reader (8%) were used for accessing information via communication tags.</p>

opencc-by-4.0Apr 2018View details →

ScienceDex guides

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

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