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Fig. 4 in A new genus and species of characid fish from the Amazon basin - the recognition of a relictual lineage of characid fishes (Ostariophysi: Cheirodontinae: Cheirodontini)

Fig. 4. Lateral view (left side) of the head of the holotype of Amazonspinther dalmata showing the pattern of neuromasts distribution (MCP 38623, 19.63 mm SL).

opencc-by-4.0Dec 2008View details →
zenodo40/100

Recognition of symptoms, mitigating mechanisms and self-care experiences of type 2 diabetes patients receiving insulin treatment in North-East Ethiopia

<p>Compliance of patients with self-care practices is the mainstay of measures to manage diabetes. Thus, the&nbsp;study explored self-care practices of type 2 diabetes patients receiving insulin treatment in North-East Ethiopia.</p>

opencc-by-4.0Jul 2021View details →
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Figure 81-93. Hyperaspis esmeraldas. 81-84 in Additions to the Hyperaspis Chevrolat (Coleoptera: Coccinellidae) fauna of South American, descriptions of nine new species, and recognition of Hyperaspis pectoralis Crotch as a valid species

Figure 81-93. Hyperaspis esmeraldas. 81-84) Habitus views. 85) Habitus views variations. 86) Abdomen. 87-91) Male genitalia. 87) Sipho. 88) Enlarged siphonal apex. 89-90) Lateral and ventral views of phallobase. 91) Enlarged view of basal lobe. 92-93) Female genitalia. 92) Genital plates. 93) Espermatheca.

opencc-by-4.0Mar 2011View details →
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Figure 1-10. Hyperaspis corcovado. 1-4 in Additions to the Hyperaspis Chevrolat (Coleoptera: Coccinellidae) fauna of South American, descriptions of nine new species, and recognition of Hyperaspis pectoralis Crotch as a valid species

Figure 1-10. Hyperaspis corcovado. 1-4) Habitus views. 5) Abdomen. 6-9) Male genitalia. 6) Sipho. 7) Enlarged siphonal apex. 8-9) Lateral and ventral views of phallobase. 10) Antenna.

opencc-by-4.0Mar 2011View details →
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Figure 41-49. Hyperaspis mimica. 41-44 in Additions to the Hyperaspis Chevrolat (Coleoptera: Coccinellidae) fauna of South American, descriptions of nine new species, and recognition of Hyperaspis pectoralis Crotch as a valid species

Figure 41-49. Hyperaspis mimica. 41-44) Habitus views. 45) Abdomen. 46-48) Male genitalia. 46) Sipho (apex lost). 47) Ventral view of phallobase. 48) Trabes. 49) Antenna.

opencc-by-4.0Mar 2011View details →
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Figure 94-103. Hyperaspis pectoralis. 94-97 in Additions to the Hyperaspis Chevrolat (Coleoptera: Coccinellidae) fauna of South American, descriptions of nine new species, and recognition of Hyperaspis pectoralis Crotch as a valid species

Figure 94-103. Hyperaspis pectoralis. 94-97) Habitus views. 98) Aabdomen. 99-103) Male genitalia. 99) Sipho. 100) Enlarged siphonal apex. 101) Lateral view of phallobase. 102) Oblique view of phallobase. 103) Ventral view of phallobase.

opencc-by-4.0Mar 2011View details →
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Figure 59-69. Hyperaspis unimaculosa. 59-62 in Additions to the Hyperaspis Chevrolat (Coleoptera: Coccinellidae) fauna of South American, descriptions of nine new species, and recognition of Hyperaspis pectoralis Crotch as a valid species

Figure 59-69. Hyperaspis unimaculosa. 59-62) Habitus views. 63) Female pronotum. 64) Abdomen. 65) Female genitalia. 66-69) Male genitalia. 66) Sipho. 67) Enlarged siphonal apex. 68-69) Lateral and ventral views of phallobase.

opencc-by-4.0Mar 2011View details →
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Figure 20-29. Hyperaspis humboldti. 20-23 in Additions to the Hyperaspis Chevrolat (Coleoptera: Coccinellidae) fauna of South American, descriptions of nine new species, and recognition of Hyperaspis pectoralis Crotch as a valid species

Figure 20-29. Hyperaspis humboldti. 20-23) Habitus views. 24) Abdomen. 25-28) Male genitalia. 25) Sipho. 26) Enlarged siphonal apex. 27-28) Lateral and ventral views of phallobase. 29) Antenna.

opencc-by-4.0Mar 2011View details →
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Figure 11-19. Hyperaspis divaricata. 11-14 in Additions to the Hyperaspis Chevrolat (Coleoptera: Coccinellidae) fauna of South American, descriptions of nine new species, and recognition of Hyperaspis pectoralis Crotch as a valid species

Figure 11-19. Hyperaspis divaricata. 11-14) Habitus views. 15) Abdomen. 16-19) Male genitalia. 16) Sipho. 17) Enlarged siphonal apex. 18-19) Lateral and ventral views of phallobase.

opencc-by-4.0Mar 2011View details →
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Figure 70-80. Hyperaspis drechseli. 70-73 in Additions to the Hyperaspis Chevrolat (Coleoptera: Coccinellidae) fauna of South American, descriptions of nine new species, and recognition of Hyperaspis pectoralis Crotch as a valid species

Figure 70-80. Hyperaspis drechseli. 70-73) Habitus views. 74) Abdomen. 75-79) Male genitalia. 75) Sipho. 75) Enlarged siphonal apex. 77-78) Lateral and ventral views of phallobase. 79) Enlarged view of basal lobe. 80) Antenna.

opencc-by-4.0Mar 2011View details →
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Figure 30-40. Hyperaspis luciae. 30-33 in Additions to the Hyperaspis Chevrolat (Coleoptera: Coccinellidae) fauna of South American, descriptions of nine new species, and recognition of Hyperaspis pectoralis Crotch as a valid species

Figure 30-40. Hyperaspis luciae. 30-33) Habitus views. 34) Abdomen. 36-40) Male genitalia. 36) Sipho. 37) Enlarged siphonal apex. 38) Lateral view of phallobase. 39) Oblique view of phallobase. 40) Ventral view of phallobase.

opencc-by-4.0Mar 2011View details →
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Figure 50-58. Hyperaspis praecipua. 50-53 in Additions to the Hyperaspis Chevrolat (Coleoptera: Coccinellidae) fauna of South American, descriptions of nine new species, and recognition of Hyperaspis pectoralis Crotch as a valid species

Figure 50-58. Hyperaspis praecipua. 50-53) Habitus views. 54) Abdomen. 55-58) Male genitalia. 55) Sipho. 56) Enlarged siphonal apex. 57-58) Lateral and ventral views of phallobase.

opencc-by-4.0Mar 2011View details →
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Figures 11–16 in The parasitic wasp genera Skiapus, Hellwigia, Nonnus, Chriodes, and Klutiana (Hymenoptera, Ichneumonidae): Recognition of the Nesomesochorinae stat. rev. and Nonninae stat. nov. and transfer of Skiapus and Hellwigia to the Ophioninae

Figures 11–16. Scanning electron micrographs showing features of Skiapus sp. (Ophioninae). (11) Front of head showing emarginate eyes and twisted mandibles. (12) Back of head showing medially strongly excavated occiput and deflected occipital carina. (13) Metanotum and propodeum showing two complete transverse carinae located close to anterior margin. (14) Tibia of mid-leg, oblique angle, showing strong spines. (15) Hind coxa showing tooth near base. (16) Claw showing pectination.

opencc-by-4.0Jun 2005View details →
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Figure 4 in The parasitic wasp genera Skiapus, Hellwigia, Nonnus, Chriodes, and Klutiana (Hymenoptera, Ichneumonidae): Recognition of the Nesomesochorinae stat. rev. and Nonninae stat. nov. and transfer of Skiapus and Hellwigia to the Ophioninae

Figure 4. Partial alignments (arrangements) of four parts of the 28S D2 rDNA gene for representatives of the Campopleginae, Cremastinae, Ctenopelmatinae, and Ophioninae (aligned by eye) showing molecular synapomorphies for Campopleginae (1 and 2) and Ophioninae (3 and 4). Fragment 1 corresponds to bases 11– 24, fragment 2 to bases 47–62, fragment 3 to bases 203–225 (in box) and fragment 4 to bases 236 (in box) to 244 in the alignment shown in Belshaw et al. (1998, Figure 1).

opencc-by-4.0Jun 2005View details →
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Figure 1 in The parasitic wasp genera Skiapus, Hellwigia, Nonnus, Chriodes, and Klutiana (Hymenoptera, Ichneumonidae): Recognition of the Nesomesochorinae stat. rev. and Nonninae stat. nov. and transfer of Skiapus and Hellwigia to the Ophioninae

Figure 1. Strict consensus of: (a) MPTs with all characters unordered; (b) MPTs when selected characters treated as ordered; (c) after successive approximations weighting with selected characters treated as ordered.

opencc-by-4.0Jun 2005View details →
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Figure 3 in The parasitic wasp genera Skiapus, Hellwigia, Nonnus, Chriodes, and Klutiana (Hymenoptera, Ichneumonidae): Recognition of the Nesomesochorinae stat. rev. and Nonninae stat. nov. and transfer of Skiapus and Hellwigia to the Ophioninae

Figure 3. Strict consensus of trees obtained from simultaneous optimization alignment analyses of morphological and molecular data with gap:substitution ratio set at (a) 2:1, (b) 3:1, and (c) 4:1.

opencc-by-4.0Jun 2005View details →
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Figure 2 in The parasitic wasp genera Skiapus, Hellwigia, Nonnus, Chriodes, and Klutiana (Hymenoptera, Ichneumonidae): Recognition of the Nesomesochorinae stat. rev. and Nonninae stat. nov. and transfer of Skiapus and Hellwigia to the Ophioninae

Figure 2. Strict consensus of trees obtained from optimization alignment analysis of molecular data with gap:substitution ratio set at (a) 2:1, (b) 3:1, and (c) 4:1.

opencc-by-4.0Jun 2005View details →
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Figures 5–10 in The parasitic wasp genera Skiapus, Hellwigia, Nonnus, Chriodes, and Klutiana (Hymenoptera, Ichneumonidae): Recognition of the Nesomesochorinae stat. rev. and Nonninae stat. nov. and transfer of Skiapus and Hellwigia to the Ophioninae

Figures 5–10. Scanning electron micrographs showing features of Campopleginae sensu stricto and Nesomesochorinae stat. rev. (5) Echthronomas sp. (Campopleginae) hind tibia and basitarsus inner aspect showing unmodified tibial comb. (6–7, 9–10) Chriodes sp.: (6) hind tibia and basitarsus inner aspect showing modified tibial comb with medially reduced setae; (7) face; (9) claw showing pecten; (10) propodeum showing areolation. (8) Klutiana sp., face.

opencc-by-4.0Jun 2005View details →
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EMOPIA: A Multi-Modal Pop Piano Dataset For Emotion Recognition and Emotion-based Music Generation

<p>EMOPIA (pronounced &lsquo;yee-m&ograve;-pi-uh&rsquo;) dataset is a shared multi-modal (audio and MIDI) database focusing on perceived emotion in&nbsp;<strong>pop piano music</strong>, to facilitate research on various tasks related to music emotion. The dataset contains&nbsp;<strong>1,087</strong>&nbsp;music clips from 387 songs and&nbsp;<strong>clip-level</strong>&nbsp;emotion labels annotated by four dedicated annotators.&nbsp;</p> <p>For more detailed information about the dataset, please refer to our paper:&nbsp;<a href="https://arxiv.org/abs/2108.01374"><strong>EMOPIA: A Multi-Modal Pop Piano Dataset For Emotion Recognition and Emotion-based Music Generation</strong></a>.&nbsp;</p> <p><strong>File Description</strong></p> <ul> <li><em><strong>midis/</strong></em>:&nbsp;midi clips transcribed using GiantMIDI. <ul> <li>Filename `Q1_xxxxxxx_2.mp3`: Q1 means this clip belongs to Q1 on the V-A space; xxxxxxx is the song ID on YouTube, and the `2` means this clip is the 2nd clip taken from the full song.</li> </ul> </li> <li><em><strong>metadata/</strong></em>:&nbsp;metadata from YouTube. (Got when crawling)</li> <li> <p><em><strong>songs_lists/</strong></em>:&nbsp;YouTube URLs of songs.</p> </li> <li> <p><em><strong>tagging_lists/</strong></em>:&nbsp;raw tagging result for each sample.</p> </li> <li> <p><em><strong>label.csv</strong></em>: metadata that records filename, 4Q label, and annotator.</p> </li> <li> <p><em><strong>metadata_by_song.csv</strong></em>: list all the clips by the song. Can be used to create the train/val/test splits to avoid the same song appear in both train and test.</p> </li> <li> <p><em><strong>scripts/prepare_split.ipynb:</strong></em> the script to create train/val/test splits and save them to csv files.</p> </li> </ul> <p>------</p> <p><strong>2.2 Update</strong></p> <ul> <li>Add tagging files in <em><strong>tagging_lists/</strong></em> that are missing in the previous version.</li> <li>Add <em><strong>timestamps.json</strong></em>&nbsp;for easier usage. It records all the timestamps in dict format. You can see <em><strong>scripts/load_timestamp.ipynb</strong></em>&nbsp;for the format example.</li> <li>Add&nbsp;<em><strong>scripts/timestamp2clip.py</strong></em>:&nbsp;After the raw audio are crawled and put in <em><strong>audios/raw</strong></em>, you can use this script to get audio clips. The script will read <em><strong>timestamps.json</strong></em>&nbsp;and use the timestamp to extract clips. The clips will be saved to <em><strong>audios/seg</strong>&nbsp;</em>folder.</li> <li>remove 7 midi files that were added by mistake, and also corrected the number in <em><strong>metadata_by_song.csv</strong></em>.</li> </ul> <p>&nbsp;</p> <p><strong>2.1 Update</strong></p> <p>Add one file and one folder:</p> <ul> <li><em><strong>key_mode_tempo.csv</strong></em>: key, mode, and tempo information extracted from files.</li> <li><strong><em>CP_events/</em></strong>:&nbsp; CP events used in our paper. Extracted using this <a href="https://github.com/YatingMusic/compound-word-transformer/blob/main/dataset/representations/uncond/cp/corpus2events.py">script</a>, and add the emotion event to the front.</li> </ul> <p>Modify one folder:</p> <ul> <li>The <strong><em>REMI_events/</em></strong> files in version 2.0 contain&nbsp;some information that is not related to the paper, so remove it.</li> </ul> <p>&nbsp;</p> <p><strong>2.0 Update</strong></p> <p>Add two new folders:</p> <ul> <li><strong><em>corpus/</em></strong>:&nbsp; processed data that following <a href="https://github.com/YatingMusic/compound-word-transformer/blob/main/dataset/Dataset.md">the&nbsp;preprocessing flow</a>. (Please notice that although we have&nbsp;<code>1078</code>&nbsp;clips in our dataset, we lost some clips during steps&nbsp;1~4 of&nbsp;the flow, so the final number of clips in this&nbsp;<strong><code>corpus</code></strong>&nbsp;is&nbsp;<code>1052</code>, and that&#39;s the number we&nbsp;used for training the generative model.)</li> <li><strong><em>REMI_events/</em></strong>: REMI event for each midi file. They are generated using this <a href="https://github.com/YatingMusic/compound-word-transformer/blob/main/dataset/representations/uncond/remi/corpus2events.py">script</a>.</li> </ul> <p>--------&nbsp;</p> <p>&nbsp;</p> <p>&nbsp;</p> <p>&nbsp;</p> <p><strong>Cite this dataset</strong></p> <pre><code>@inproceedings{{EMOPIA}, author = {Hung, Hsiao-Tzu and Ching, Joann and Doh, Seungheon and Kim, Nabin and Nam, Juhan and Yang, Yi-Hsuan}, title = {{MOPIA}: A Multi-Modal Pop Piano Dataset For Emotion Recognition and Emotion-based Music Generation}, booktitle = {Proc. Int. Society for Music Information Retrieval Conf.}, year = {2021} }</code></pre>

opencc-by-4.0Jul 2021View details →
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Fig. 23 in A Revision Of The Portunus Pelagicus (Linnaeus, 1758) Species Complex (Crustacea: Brachyura: Portunidae), With The Recognition Of Four Species

Fig. 23. Frontal margin and merus of left cheliped A, E, Portunus pelagicus (152.9 × 68.0 mm) (ZRC 2007.233); B, F, P. segnis (134.5 × 62.6 mm) (ZRC 2007.226); C, G, P. reticulatus (138.5 × 60.7.0 mm) (ZRC 2007.222); D, H, P. armatus (133.0 × 66.0 mm) (ZRC 2007.229).

opencc-by-4.0Aug 2010View details →

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.

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