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Fig. 10 in Notes on Enidae, 7. Revision of the Enidae of Iran, with special reference to the collection of Jacques de Morgan (Gastropoda: Pulmonata)
Fig. 10. Distribution of Pseudochondrula darii spec. nov. in Iran.
Colonization history of the Western Corn Rootworm: Dataset, ABC reference tables and ABC parameter files
<p>This data archive is associated with the article “Colonization history of the Western Corn Rootworm (<em>Diabrotica virgifera virgifera</em>) in North America: insights from random forest ABC using microsatellite data”. Authors: Eric Lombaert, Marc Ciosi, Nicholas J. Miller, Thomas W. Sappington, Aurélie Blin & Thomas Guillemaud.</p> <p>The zip files contains the microsatellite dataset, the parameter files and scripts for simulating and summarizing datasets, the ABC reference tables, and the R scripts for analyzing the data. See the Readme file for details.</p>
Fig. 38 in A phylogenetic analyis of ant morphology (Hymenoptera: Formicidae) with special reference to the poneromoprh subfamilies
Fig. 38. Summary of phylogenetic relationships between ant subfamilies as reconstructed from several nuclear gene fragments. Redrawn after Brady et al. (2006), Moreau et al. (2006), and Rabeling et al. (2008).
Fig. 37 in A phylogenetic analyis of ant morphology (Hymenoptera: Formicidae) with special reference to the poneromoprh subfamilies
Fig. 37. Strict consensus of 3 optimal trees obtained under implied-weights analysis with K = 10 (L = 793, CI = 0.23, RI = 0.72). Thick lines correspond to poneromorph taxa. Symmetric resampling values above 50 are shown on branches.
Fig. 36 in A phylogenetic analyis of ant morphology (Hymenoptera: Formicidae) with special reference to the poneromoprh subfamilies
Fig. 36. Strict consensus of 3192 most-parsimonious trees obtained under equal-weights analysis (L = 776, CI = 0.24, RI = 0.73). Thick lines correspond to poneromorph taxa. Symmetric resampling values above 50 are shown on branches.
Fig. 4 in A phylogenetic analyis of ant morphology (Hymenoptera: Formicidae) with special reference to the poneromoprh subfamilies
Fig. 4. Phylogenetic tree for the subfamilies of Formicidae after Brown (unpublished; circa 1986). Note the depiction of Ponerinae as comprising a paraphyletic subfamily, the sister-group relationship between Ectatommini and Myrmicinae, and the position of both Leptanillinae and Dorylinae (= dorylomorphs). This diagram was found by the author in a drawer of what used to be Brown's laboratory at Comstock Hall, Cornell University, in 1999. I thank Norman F. Johnson for helping date the plate.
MAP 4 in The geographical distribution of the Dermaptera (Insecta) with reference to continental drift
MAP 4. Distribution of the Pyidicranidae.
FIG. 3. A in The geographical distribution of the Dermaptera (Insecta) with reference to continental drift
FIG. 3. A possible tree for the subfamilies of the Labiduridae.
FIG. 8 in The geographical distribution of the Dermaptera (Insecta) with reference to continental drift
FIG. 8. The Families of the For®culina based on Popham's (1965) classi®cation.
MAP 1 in The geographical distribution of the Dermaptera (Insecta) with reference to continental drift
MAP 1. Distribution of the Karschiellidae.
FIG. 1. A in The geographical distribution of the Dermaptera (Insecta) with reference to continental drift
FIG. 1. A possible tree for the`Diplatyid' taxa.
MAP 3 in The geographical distribution of the Dermaptera (Insecta) with reference to continental drift
MAP 3. Distribution of the Diplatyidae.
MAP 7 in The geographical distribution of the Dermaptera (Insecta) with reference to continental drift
MAP 7. Distribution of the Anisolabiidae.
FIG. 2. A in The geographical distribution of the Dermaptera (Insecta) with reference to continental drift
FIG. 2. A possible tree for the subfamilies of the`Pygidicranidae'.
FIG. 5. A in The geographical distribution of the Dermaptera (Insecta) with reference to continental drift
FIG. 5. A possible tree for the subfamilies of the Spongiphoridae. (*Endemic subfamily.)
FIG. 7 in The geographical distribution of the Dermaptera (Insecta) with reference to continental drift
FIG. 7. The Families of the For®culina based on Sakai's (1982) classi®cation.
FIG. 9. A in The geographical distribution of the Dermaptera (Insecta) with reference to continental drift
FIG. 9. A Cladogram of the Phylogeny of For®culina Taxa (Haas, 1995).
MAP 2 in The geographical distribution of the Dermaptera (Insecta) with reference to continental drift
MAP 2. Distribution of Haplodiplatys.
MAP 8 in The geographical distribution of the Dermaptera (Insecta) with reference to continental drift
MAP 8. Distribution of the Spongiphoridae.
Overcoming Digital Divide Between Europe and Southeast Asia, EU Project, References Dataset Part1
<p>This reference list contains publications and data sets concerning the state of digitalization and digital divide in Europe and Southeast Asia including factors affecting it. Research was carried out</p><p>The creation of this list is the result of a review of literature and databases as part of the implementation by the Krakow University of Economics of tasks resulting from Task Package no. 1 included in the ODDEA project</p><p>In the "ODDEA" project some Work Packages were prepared. In Work Package no 1, which is called "<i>The state-of-the-art analysis of the underlying factors of the digital divide within the EU and within the Southeast Asia</i>", the main objective was defined as: "To provide an overview of the literature and existing indicators on the state of digitalization and digital divide in Europe and Southeast Asia including factors affecting it". </p><p>This task is based on the literature review and on the qualitative analysis of recently published indicators (e.g., EIBIS, 2021, CIS of Eurostat, World Bank enterprise dataset) and other relevant country based surveys. This analysis will enable to identify possible economic, social, political, and technological factors that may explain the digital divide in the EU and in the Southeast Asia and formulate relevant hypotheses for individual EU countries, groups/clusters, the European Union as a whole and the Southeast Asia and project countries in that region. A deeper analysis of these clusters will also help to identify any idiosyncratic features that these countries share regarding the use of digital technologies, which will be used in the empirical study implemented within subsequent WPs. </p><p>Adopting the assumptions and objective presented in WP1, appropriate identification was made in the scope of the Literature Review in the relation to the Polish economy as a member of the European Union (EU). </p><p>Because two partners in ODDEA were from Poland – it means AGH University and Krakow University of Economics, the division of the collected bibliography into specific databases between these research centres was developed. The Krakow University of Economics was responsible for finding relevant literature from the following databases:</p><ol><li>Statistics Poland</li><li>EBSCOhost (Polish language only)</li><li>INFONA </li><li>Legalis (CH Beck) </li><li>Lex Informator prawno-gospodarczy (Legal and economic guide)</li><li>ORBIS </li><li>SWAiD Platforma Analityczna (Analitical Platform of Statistics Poland)</li></ol><p>The preparation of the ODDEA domestic literature database (in this example for Poland) is an important component of the implementation of the objective under WP1 of this project.</p><p> </p>
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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.
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.