Find research datasets worth reusing

opencc-by-4.0Jun 2019View details →

Fig. 4 in Fig. 4 in Responses of Phyllostomid Bats to Traditional Agriculture in Neotropical Montane Forests of Southern Mexico.

Fig. 4. (a) Illustration of 17 landmarks on the Otolithes sp. 1: tip of snout, 2: termination of maxilla, 3: ventral margin of interopercle, 4: anterior margin of eye orbit, 5: posterior margin of eye orbit, 6: dorsal termination of cranium, 7: origin of lateral line, 8: origin of pectoral fin, 9: origin of pelvic fin, 10: anterior insertion of spinous dorsal fin, 11: origin of soft dorsal fin, 12: origin of anal fin; 13: termination of anal fin, 14: termination of second dorsal fin, 15: insertion of dorsal-most caudal fin ray, 16: termination of lateral line, and 17: insertion of ventral-most caudal fin ray. Procrustes superimposition showing the pair-wise differences in shapes between (b) Western Arabian Gulf group (WA) vs. West Indian Ocean II group, and (c) West Indian Ocean II group type A vs. B. Arrows indicate the difference vector, which is amplified four times for clarity.

opencc-by-4.0Jul 2019View details →

Fig. 4 in Fig. 4 in Fig. 4 in Responses of Phyllostomid Bats to Traditional Agriculture in Neotropical Montane Forests of Southern Mexico.

Fig. 4. Floors of orbit of male Austruca variegata (Heller, 1862) (a–d), A. bengali (Crane, 1975) (e, f) and A. triangularis (A. Milne-Edwards, 1873) (g, h). (a, b) CW 18.6 mm (ZRC 2018.1375; right-handed; Tamil Nadu, India); (c, d) CW 14.5 mm (ZRC 2017.0917; left-handed; West Bengal, India); (e, f) CW 14.5 mm (NCHUZOOL 14345; right-handed; Selangor, Malaysia); (g, h) CW 14.8 mm (NCHUZOOL 13574; left-handed; Cebu, Philippines). Scale bars = 5.0 mm.

Fig. 8 in Geometric morphometric on a new species of Trichodinidae. A tool to discriminate trichodinid species combined with traditional morphology and molecular analysis

Fig. 8. PCA. Principal component scatter plot (PCA) conducted on the elliptic Fourier descriptions of denticles shapes using the first 10 harmonics; this figure shows the first two principal components (PC1 and PC2 are on the x and y-axes, respectively).

Fig. 9 in Geometric morphometric on a new species of Trichodinidae. A tool to discriminate trichodinid species combined with traditional morphology and molecular analysis

Fig. 9. Linear discriminant analysis (LDA) of Trichodina spp. using normalized elliptical Fourier descriptors. Percentages indicate the proportion of the trace captured in each LD component.

Fig. 4. Tree derived from a in Geometric morphometric on a new species of Trichodinidae. A tool to discriminate trichodinid species combined with traditional morphology and molecular analysis

Fig. 4. Tree derived from a Maximum Likelihood (ML) analysis. The bootstrap consensus tree bases on ML inferred from 500 replicates. Bootstrap values for ML are given above nodes.

Fig. 2 in Geometric morphometric on a new species of Trichodinidae. A tool to discriminate trichodinid species combined with traditional morphology and molecular analysis

Fig. 2. Diagrammatic drawings of denticles of trichodinids. (A and B) Denticle of Trichodina bellotti n. sp. from Austrolebias bellottii. (C) Trichodina hypsilepis redrawn from Wellborn (1967). (D) Trichodina heterodentata redrawn from Duncan (1977). (E) Trichodina paraheterodentata redrawn from Tang and Zhao (2013). (F) Trichodina pseudoheterodentata redrawn from Tang et al. (2017).

Fig. 3 in Geometric morphometric on a new species of Trichodinidae. A tool to discriminate trichodinid species combined with traditional morphology and molecular analysis

Fig. 3. Phylogenetic tree based on 18S rDNA sequences by Bayesian Inference, with the model Trn + I + G applied in Mrbayes v.3.2.1. The new sequenced forms are in bold. Numbers given at nodes of branches are the posterior probability value.

Fig. 5 in Geometric morphometric on a new species of Trichodinidae. A tool to discriminate trichodinid species combined with traditional morphology and molecular analysis

Fig. 5. Denticles silhouettes utilized on Fourier analysis. Trichodina bellottii n. sp., Trichodina heterodentata redrawn from Duncan (1977); Albaladejo and Arthur, 1989; Bondad-Reantaso and Arthur, 1989; Van As and Basson, 1989; Basson and Van As, 1994; Al Rasheid et al., 2000; Asmat, 2004; Dove and O'Donoghue, 2005; Dias et al., 2009; Martins et al., 2010; Benites de Pádua et al., 2012; Miranda et al., 2012; Valladão et al., 2014. Trichodina paraheterodentata redrawn from Tang and Zhao (2013). Trichodina pseudoheterodentata redrawn from Tang et al. (2017).

Fig. 1 in Geometric morphometric on a new species of Trichodinidae. A tool to discriminate trichodinid species combined with traditional morphology and molecular analysis

Fig. 1. Microphotographs of Trichodina bellottii n. sp. from Austrolebias bellottii. (A–D) Adhesive disc after dry silver impregnation. E) Ciliature. (F) Macronucleus with methylene-blue staining. Scale bars: 20 μm.

Fig. 4 in Algal genomics perspective: the pangenome concept beyond traditional molecular phylogeny and taxonomy

Fig. 4. The pangenome concept based on a comparison of gene inventory. Colored squares indicate commonly shared or newly acquired genes between species or populations.

Fig. 1 in Algal genomics perspective: the pangenome concept beyond traditional molecular phylogeny and taxonomy

Fig. 1. Phase-contrast microscopy images of diverse algal taxa. A. Rhodella maculata CCMP736 (Rhodophyta). B. Dixoniella grisea CCMP1916 (Rhodophyta). C. Emiliania huxleyi (Haptophyta). D. Diacronema lutheri LIMS-PS-0073 (Haptophyta). E. Proteomonas sulcata (Cryptophyta). F. Rhinomonas nottbecki (Cryptophyta). G. Coolia monotis (Alveolata). H. Sungminbooa australiensis (Pelagophyceae; Stramenopiles). I. Halamphora pseudohyalina (Bacillariophyceae; Stramenopiles). J. Navicula avium (Bacillariophyceae; Stramenopiles). K. Thalassiosira gravida (= T. rotula; Bacillariophyceae; Stramenopiles). L. Ditylum sol (Bacillariophyceae; Stramenopiles). Multifocus light microscopy images were merged, and white balances were properly adjusted by Adobe Photoshop and Illustrator (scale bars: A-F, and H-J = 15 μm; G, and K = 40 μm; L = 100 μm).

Fig. 3 in Algal genomics perspective: the pangenome concept beyond traditional molecular phylogeny and taxonomy

Fig. 3. Major photosynthetic algal lineages in the eukaryote Tree of Life (eToL). The eToL is reconstructed based on previous studies (Burki et al., 2019; Keeling and Burki, 2019; Strassert et al., 2019; Bhattacharya and Price, 2020; Sibbald and Archibald, 2020).

Fig. 2. The red algal phylogenomic approaches. A. Concatenated multigene phylogeny using 170 in Algal genomics perspective: the pangenome concept beyond traditional molecular phylogeny and taxonomy

Fig. 2. The red algal phylogenomic approaches. A. Concatenated multigene phylogeny using 170 plastid genes (Muñoz-Gómez et al., 2017). B. Concatenated multigene phylogeny using 4,777 nuclear genes (Lee et al., 2019). C. Intertwining phylogenetic network tree of red algal plastid and nuclear multigene phylogenies.

opencc-by-4.0Aug 2015View details →

Figure 3. Traditional Approach and Process Management System Approach – Effort Percentage Comparison-Business Process Management – A Traditional Approach versus a Knowledge Based Approach

Comparing the results obtained in using the two approaches (Figure 3), it is possible to note a significant reduction in terms of both effort and working hours in correspondence of design and development phases.

opencc-by-4.0Apr 2018View details →

Artificial Intelligence and the Future of Smart Cities-Figure 2. Traditional growth model vs. adapted growth model Source: Adapted after Purdy & Daugherty, 2016

The use of AI is not limited to smart buildings or transportation. It covers a wide range of application from medical diagnosis, to robot control and virtual assistance scientific tools. Nowadays, AI can be encountered in many services such as: cars speech recognitions, industrial robots, intelligent vacuum cleaners or fridges and so further. It can also be used in smart homes which permits by using hundreds or even thousands of sensors to provide services according to our preferences such as: ambient assisted living, energy saving etc. According to Skouby et al. (2014), AI also can be utilized in smart homes by adding personalized features in form of context awareness which allows AI to move beyond automation level. These authors designed a four-layer pyramid which encases the ICTs based infrastructure for future smart cites (Figure 3).

opencc-by-4.0Oct 2018View details →

Russian court decisions on article 6.21 "Propaganda of non-traditional sexual relationships" (Code of Administrative Offences)

The zip archive contains 338 txt files of Russian court decisions on article 6.21 "Propaganda of non-traditional sexual relationships" (Code of Administrative Offences). The source is Russian online database of juridical decisions <a href="http://sudact.ru">sudact.ru</a>.

opencc-by-4.0Sep 2019View details →

Map of select traditions of Manding, Wolof, Fulani and Hausa Ajami literacy

Map of select traditions of Manding, Wolof, Fulani and Hausa Ajami literacy. Includes original color and an adapted black and white version. Originally appeared in the following: Donaldson, Coleman. 2017. “Clear Language: Script, Register and the N’ko Movement of Manding-Speaking West Africa.” Doctoral Dissertation, Philadelphia, PA: University of Pennsylvania. Philadelphia, PA. <a href="https://repository.upenn.edu/dissertations/AAI10681364/">https://repository.upenn.edu/dissertations/AAI10681364/</a>. -- Blog: <a href="https://ajami.hypotheses.org/">https://ajami.hypotheses.org/</a> Project: <a href="https://www.manuscript-cultures.uni-hamburg.de/ajami/index_e.html">https://www.manuscript-cultures.uni-hamburg.de/ajami/index_e.html</a>

opencc-by-4.0Oct 2019View details →

Lexis and tradition: variation in the vocabulary of Sanskrit Mahāyāna literature - datasets

Lexical datasets containing annotated concordances of words pertaining to the conceptual domains of language and conceptualisation in Buddhist Sanskrit Literature. The smaller dataset contains linguistic annotations, the larger only metadata. The concordances have been taken from the segmented Sanskrit corpus 10.5281/zenodo.3526665. These datasets have been created as part of the project 'Lexis and Tradition: variation in the vocabulary of Sanskrit Mahāyāna literature', funded by the British Academy through a Newton International Fellowship (NF161436) and hosted at the Department of Theology and Religious Studies at King's College London under the supervision of Prof. Henrietta Kate Crosby.  Dr. Bruno Galasek-Hul and Luis Quiñones have assisted me with semantic annotations thanks to funding from the Mangalam Research Center. The repository also contains R scripts for text clustering on the basis of the lexical data provided. the annotated dataset can be interactively explored at: <ol> <li> <a href="https://ligeialugli.shinyapps.io/VisualDictionaryOfBuddhistSanskrit/">https://ligeialugli.shinyapps.io/VisualDictionaryOfBuddhistSanskrit/</a></li> <li> <a href="https://ligeialugli.shinyapps.io/VisualDictionaryOfBuddhistSanskrit/">https://ligeialugli.shinyapps.io/VisualThesaurusOfBuddhistSanskrit/</a></li> </ol> Updated versions 1.1-1.2 correct some mistakes in metadata and add a few new lemmata.

opencc-by-4.0Mar 2014View details →

Figure 3 in Reproductive cycle of the traditionally exploited sea cucumber Holothuria tubulosa (Holothuroidea: Aspidochirotida) in Pagasitikos Gulf, western Aegean Sea, Greece

Figure 3. Temporal allocation of the developmental stages in males and females of H. tubulosa at Pagasitikos Gulf. I, recovery stage; II, growing; III, mature; IV, spawning; V, postspawning.