Find research datasets worth reusing

Figs 14–15 in An annotated checklist of the weevil fauna of Samos Island with new records for Greece (Coleoptera, Curculionoidea)

Figs 14–15 (not in scale). 14 Otiorhynchus lilligi KESKIN & CEVIK, 2007, 15 Otiorhynchus pelliceus BOHEMAN, 1843. All photos: G. Müller.

Figs 5A–D in An annotated checklist of the weevil fauna of Samos Island with new records for Greece (Coleoptera, Curculionoidea)

Figs 5A–D. Allomalia cf. quadrivirgata (COSTA, 1863). A habitus of male and female; B penis lateral view; C penis dorsal view on apex (in detail), D penis dorsal view. Photos: C. Germann.

Fig. 2. Brachycerus cinereus OLIVIER, 1807 in An annotated checklist of the weevil fauna of Samos Island with new records for Greece (Coleoptera, Curculionoidea)

Fig. 2. Brachycerus cinereus OLIVIER, 1807 in the Oros Ambelos feeding on leaves of Galanthus elwesii. Photo: C. Germann.

Fig. 1 in An annotated checklist of the weevil fauna of Samos Island with new records for Greece (Coleoptera, Curculionoidea)

Fig. 1. Diagram showing the composition of the fauna of Curculionoidea collected so far on Samos after the three chorotypes Palaearctic, Circum-Mediterranean and Eastern-Mediterranean.

Figs 12–13 in An annotated checklist of the weevil fauna of Samos Island with new records for Greece (Coleoptera, Curculionoidea)

Figs 12–13 (not in scale). 12 Otiorhynchus anadolicus BOHEMAN, 1843, 13 Otiorhynchus bisphaericus REICHE & SAULCY, 1858. All photos: G. Müller.

Figs 18–21 in An annotated checklist of the weevil fauna of Samos Island with new records for Greece (Coleoptera, Curculionoidea)

Figs 18–21 (not in scale). 18 Psallidium spinimanum REICHE, 1861, 19 Tychius hebes DESBROCHERS, 1875, 20 Tychius naxiae FAUST, 1889, 21 Omias sandneri (REITTER, 1906). All photos: G. Müller.

Figs 10–11 in An annotated checklist of the weevil fauna of Samos Island with new records for Greece (Coleoptera, Curculionoidea)

Figs 10–11 (not in scale). 10 Oedecnemidius varius (BRULLé, 1832), 11 Styphlus oros (REITTER, 1889). All photos: G. Müller.

Figs 4 A–D. A in An annotated checklist of the weevil fauna of Samos Island with new records for Greece (Coleoptera, Curculionoidea)

Figs 4 A–D. A Hypoglyptus sp.; B Otiorhynchus cf. bleusei FAUST, 1899; C and D normal and big sized (= polyploid?) specimens of Otiorhynchus ovalipennis (BOHEMAN, 1843). Photos: C. Germann.

Figs 6–9 in An annotated checklist of the weevil fauna of Samos Island with new records for Greece (Coleoptera, Curculionoidea)

Figs 6–9 (not in scale). 6 Protapion brenskei (DESBROCHERS, 1895), 7 Ceutorhynchus oculatus COLONNELLI, 1987, 8 Entomoderus cf. deformis (REICHE & SAULCY, 1858), 9 Mogulones sublineellus (C. BRISOUT, 1869). All photos: G. Müller.

Figs 3 A–C. Echinodera montissacris BEHNE, 2002. A in An annotated checklist of the weevil fauna of Samos Island with new records for Greece (Coleoptera, Curculionoidea)

Figs 3 A–C. Echinodera montissacris BEHNE, 2002. A pronotum with deep and coarse punctation; B habitus, dorsal view; C penis lateral and dorsal view. Photos: C. Germann.

Figs 16–17 in An annotated checklist of the weevil fauna of Samos Island with new records for Greece (Coleoptera, Curculionoidea)

Figs 16–17 (not in scale). 16 Polydrusus armipes BRULLé, 1832, 17 Polydrusus cocciferae KIESEN-WETTER, 1864. All photos: G. Müller.

openother-openOct 2021View details →

Region-based Annotation Data of Fire Images for Intelligent Surveillance System

This data presents fire segmentation annotation data on 12 commonly used and publicly available “VisiFire Dataset” videos from <a href="http://signal.ee.bilkent.edu.tr/VisiFire/">http://signal.ee.bilkent.edu.tr/VisiFire/</a>. This annotations dataset was obtained by per-frame, manual hand annotation over the fire region with 2,684 total annotated frames. Since this annotation provides per-frame segmentation data, it offers a new and unique fire motion feature to the existing video, unlike other fire segmentation data that are collected from different still images. The annotations dataset also provides ground truth for segmentation task on videos. With segmentation task, it offers better insight on how well a machine learning model understood, not only detecting whether a fire is present, but also its exact location by calculating metrics such as Intersection over Union (IoU) with this annotations data. This annotations data is a tremendously useful addition to train, develop, and create a much better smart surveillance system for early detection in high-risk fire hotspots area.

opencc-by-4.0Jan 2022View details →

Multilingual MigrationsKB: A Mulitlingual Knowledge Base of Migration related annotated Tweets

Multilingual MigrationskB (MGKB) is a mulitlingual extended version of English <a href="https://zenodo.org/record/5206820#.YRqF1nUza0o">MGKB</a>. The tweets geotagged with Geo location from 32 European Countries (Austria, Belgium, Bulgaria, Croatia, Cyprus, Czech, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Latvia, Lithuania, Luxembourg, Malta, Netherlands, Poland, Portugal, Romania, Slovakia, Slovenia, Spain, Sweden, Iceland, Liechtenstein, Norway, Switzerland, the United Kingdom)  are extracted and filtered by 11 languages (English, French, Finnish, German, Greek, Dutch, Hungarian, Italian, Polish, Spain, Swedish). Metadata information about the tweets, such as Geo information (place name, coordinates, country code) are included. MGKB  contains sentiments, offensive and hate speeches, topics, hashtags, user mentions in RDF format. The schema of MGKB is an extension of TweetsKB for migration related information. Moreover, to associate and represent the potential economic and social factors driving the migration flows, the data from <a href="https://ec.europa.eu/eurostat/web/main/home">Eurostat</a>  and <a href="https://spec.edmcouncil.org/fibo/ontology/">FIBO</a> ontology was used. To represent multilinguality, the<a href="https://www.cidoc-crm.org/"> CIDOC Conceptual Reference Model (CIDOC-CRM)</a> is used. The extracted economic indicators, i.e., GDP Growth Rate, Total Unemployment Rate, Youth Unemployment Rate, Long-term Unemployment Rate and Income per househould, are connected with each tweet in RDF using geographical and temporal dimensions.  For this version, the Multilingual MGKB is delivered separated by year. The extracted topic words are also published. Code: <a href="https://github.com/migrationsKB/MRL">https://github.com/migrationsKB/MRL</a> Please contact Yiyi Chen (yiyi.chen@partner.kit.edu) for pretrained models (Sentiment analysis/hate speech detection/ETM) if necessary.

FIG. 19 in An annotated checklist of the birds of Burkina Faso

FIG. 19. — Elminia longicauda longicauda (Swainson, 1838), Folonzo, Cascade Region, 11.XII.2012 (photo M. Pavia).

FIG. 11 in An annotated checklist of the birds of Burkina Faso

FIG. 11. — Accipiter melanoleucus temminckii (Hartlaub, 1850), Comoé-Léraba classified forest, Cascade Region, 10.II.2010 (photo M. Pavia).

FIG. 10 in An annotated checklist of the birds of Burkina Faso

FIG. 10. — Accipiter ovampensis Gurney, Sr., 1875, Comoé-Léraba classified forest, Cascade Region, 18.III.2011 (photo M. Pavia).

FIG. 5 in An annotated checklist of the birds of Burkina Faso

FIG. 5. — Microparra capensis (A. Smith, 1839), Tengrela Lake, Cascade Region,14.II.2010 (photo M. Pavia).

FIG. 3 in An annotated checklist of the birds of Burkina Faso

FIG. 3. — Treron calvus sharpei (Reichenow, 1902), Folonzo, Cascade Region, 6.II.2010 (photo M. Pavia).

FIG. 6 in An annotated checklist of the birds of Burkina Faso

FIG. 6. — Trigonoceps occipitalis Burchell, 1824, Folonzo, Cascade Region, 9.XII.2012 (photo M. Pavia).

FIG. 15 in An annotated checklist of the birds of Burkina Faso

FIG. 15. — Laniarius aethiopicus major (Hartlaub, 1848), 10.II.2010, Comoé-Léraba classified forest, Cascade Region (photo M. Pavia).