Find research datasets worth reusing

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COMMENTS.— Although not breeding in the Mediterranean, the species forages in Libyan waters (van Dijk et al. 2014). In addition to the single beached record, an individual was pulled from nearshore waters of the Tajura coast in 1996 and died in the rehabilitation facility of the Marine Biology Research Centre (MBRC) at Tajura, where it was subsequently taxidermied at the MBRC Museum (Hamza 2010). Capra's (1949) records were based on a report in "L'Idea Coloniale" for 2 May 1927 (Mongàr) and an unspecified specimen in the Museo Civico di Storia Naturale di Trieste (Sella). IUCN THREAT STATUS.— Vulnerable A2bd. MAP 3. Distribution of Dermochelys coriacea in Libya showing stranding site records. in Atlas of the Reptiles of Libya

COMMENTS.— Although not breeding in the Mediterranean, the species forages in Libyan waters (van Dijk et al. 2014). In addition to the single beached record, an individual was pulled from nearshore waters of the Tajura coast in 1996 and died in the rehabilitation facility of the Marine Biology Research Centre (MBRC) at Tajura, where it was subsequently taxidermied at the MBRC Museum (Hamza 2010). Capra's (1949) records were based on a report in "L'Idea Coloniale" for 2 May 1927 (Mongàr) and an unspecified specimen in the Museo Civico di Storia Naturale di Trieste (Sella). IUCN THREAT STATUS.— Vulnerable A2bd. MAP 3. Distribution of Dermochelys coriacea in Libya showing stranding site records.

Fig. 27–32 in Latvian Molytinae (Coleoptera, Curculionidae): Research History, Fauna And Bionomy

Fig. 27–32. Pronotum, dorsal view: 27 – Pissodes piceae, 28 – P. pini, 29 – P. castaneus, 30 – P. harcyniae, 31 – P. validirostris, 32 – P. piniphilus.

Fig. 9–17 in Latvian Molytinae (Coleoptera, Curculionidae): Research History, Fauna And Bionomy

Fig. 9–17. Molytinae, habitus, dorsal view: 9 – Pissodes piceae (after Borowiec 2007), 10 – P. pini, 11 – P. castaneus, 12 – P. harcyniae, 13 – Anoplus roboris, 14 – Anoplus plantaris, 15 – Trachodes hispidus, 16 – Pissodes piniphilus, 17 – P. validirostris.

Fig. 18–26 in Latvian Molytinae (Coleoptera, Curculionidae): Research History, Fauna And Bionomy

Fig. 18–26. Molytinae: 18 - Hylobius transversovittatus, rostrum and antennae, 19 – Pissodes harcyniae, rostrum and antennae, 20 – Anoplus sp., protarsus, 21 – Hylobius sp., protarsus, 22 – Hylobius abietis, apex of rostrum, dorsal view, 23 – Lepyrus palustris, apex of rostrum, dorsal view, 24 – Hylobius transversovittatus, antenna, 25 – Hylobius pinastri, antenna, 26 – Hylobius abietis, antenna.

Fig. 1–8 in Latvian Molytinae (Coleoptera, Curculionidae): Research History, Fauna And Bionomy

Fig. 1–8. Molytinae, habitus, dorsal view: 1 – Liparus glabrirostris, 2 – L. coronatus, 3 – Hylobius abietis, 4 – H. excavatus, 5 – H. pinastri, 6 – Lepyrus palustris, 7 – L. capucinus, 8 – Hylobius transversovittatus.

opencc-by-4.0Jan 2018View details →

A network of countries collaborating on learning analytics research

A network of countries collaborating on learning analytics research. It includes original  research articles published in Scopus Database up to 16 January 2018. The file is an un-directed Graphml network of 76 countries. It can be opened in Social Network Analysis applications such as Gephi, or Igraph R package.

opencc-by-4.0Jun 2012View details →

Figure 2. Some screenshots from the software system-Design and Development of a Software System for Swarm Intelligence Based Research Studies

All of the mentioned operations can be performed easily by using the provided controls over the related interfaces – windows of each algorithm. It is also important that each algorithm interface is supported by visual controls to view obtained results with typical iteration-based graphics or problem oriented visual elements. For instance, resulting graph structures are automatically shown by the algorithm interfaces after solving some specific, popular problems like Travelling Salesman Problem (TSP), Vehicle Routing Problem (VCP)…etc. Visually improved using features and functions of the software system are critical aspects to provide more effective and useful platform to perform SI based research studies better. Related to the designed and developed software system, some screenshots from the software system [interfaces of two algorithms (IWDs and ABC)] are represented in Fig. 2.

Figure 11. Cognitive architecture of the process of social signals perception-Gestalt Processing in Human-Robot Interaction: A Novel Account for Autism Research

A possible cognitive architecture and formalization of the process of learning via multisensory integration is presented in figure 11. The formal description of the proposed cognitive architecture, capable of interpreting social-communication signals, signs and symbols, is based on multisensory integration at the level of perception, parallel processing at the level of interpretation and decision making followed by verbalization, as well as performing an action (eye contact, gesture, mimicking) at the level of behaviour.

Figure 9. The impossible figure (right) is not noticeable as such at first glance-Gestalt Processing in Human-Robot Interaction: A Novel Account for Autism Research

In the lexical domain a similar effect of holistic word processing is described in (Anstis, 2005b). The viewers were presented with pairs of three-letter words in quick succession and asked to report if the upper halves of the successively presented words were identical. Surprisingly, even when the upper halves of the words were orthographically identical, the error rate was reliably higher than expected and in comparison with matching identical successive words. As the author of the study Stuart Anstis points out: “students were processing the words not as separable parts, but holistically as perceptual units that could not be perceptually split apart. These results show that in normal circumstances, the visual system cannot, or does not, divide words into upper and lower halves” (Anstis, 2005b, p. 239).The author relates the results of his study to studies of visual perception of faces as evidence that the mechanism of holistic processing in the visual and the lexical domains is essentially the same.

Figure 8. Machine faces, perceived as more figure-like(left) and less figure-like (right)-Gestalt Processing in Human-Robot Interaction: A Novel Account for Autism Research

In an experimental study on visual perception, addressing directly Gestalt phenomena, a new Gestalt cue for figure-ground assignment was introduced (Vechera et al., 2002). The foreground versus the background organization is a strong determinant for decisions on objects seen among image elements. A well-known set of perceptual cues that are often called Gestalt cues are the size or area, the symmetry and the convexity vs. concavity judgments. It is generally assumed that figures are ‘small, symmetrical and convex’. The authors asked the question whether these cues are all that are necessary for a region of the image to be judged as a figure. The main result of this study is that regions in the lower portion of a stimulus array appear more figure-like than regions in the upper portion of the display.

Figure 6. Noticeable subjective response to the distorted face to the right-Gestalt Processing in Human-Robot Interaction: A Novel Account for Autism Research

Quite surprisingly, if the distortion is viewed in the normal upward position, it evokes strong emotional response to the distorted face to the right in figure 6.

Figure 5. The distortion is barely noticeable if the faces are viewed in the reversed position-Gestalt Processing in Human-Robot Interaction: A Novel Account for Autism Research

According to the feature-based processing theories of human faces the main elements, noticed and remembered in a face, are the eyes, the nose and the mouth (Thompson, 1980; Anstis, 2005a). If, however, we distort some of the elements of a face, these should influence perception,regardless of the position of the image – upright or reversed – from the observer viewpoint. Figure 5 presents the reversed image of the face on the left and the reversed distorted face on the right. The distortion was achieved by rotating the eyes of the image in the vertical direction. Figure

Figure 4. Main elements of a face, according to the feature-based processing theories-Gestalt Processing in Human-Robot Interaction: A Novel Account for Autism Research

In 1980 Peter Thompson proposed a new experimental paradigm for investigation of perception, called “face thatcherization” (also named “Thomson illusion”) (Thompson, 1980). Imagine that the following face, depicted in figure 4, is a photo of the then UK Prime Minister Margaret Thatcher.

Figure 3. Robotic faces, similar to smiley emoticons-Gestalt Processing in Human-Robot Interaction: A Novel Account for Autism Research

The smiley Gestalt is the result from a dynamic (evolved in time) cognitive process, it is immediately given in cognition, memorable, emotionally rich and socially relevant and reflects the special kind of Gestalt complexity as defined by Edwin Rausch (1988). Conventional representations of holistic entities like smileys or novel robotic faces come to life because they capture essential Gestalt qualities of the perceived image. For example, in figure 3 the robotic faces resemble the smileys in terms of the evoked internal/emotional reactions.

Figure 2. Taxonomy of the educational technologies for children with ASC-Gestalt Processing in Human-Robot Interaction: A Novel Account for Autism Research

learner (Perlin, 1997). MOSOCO is an emergent technology implemented in a smartphone called “Mobile Social Compass” (Escobedo et al., 2012). Six basic social skills are being encouraged by prompting the user to initiate social contact. The menu displays symbols for the basic social skills – eye contact, space and proximity, start an interaction, asking questions, sharing interests and finish an interaction. The MOSOCO application has turned out to be an extremely useful tool as an online prompt in starting, maintaining and finishing social interaction for both typical and autistic students, as well as to anyone that feels need for improving their social competence.

Figure 1. Necker cube depth illusion (Adapted from [http://en.wikipedia.org/wiki/Necker_cube])-Gestalt Processing in Human-Robot Interaction: A Novel Account for Autism Research

Often the term Gestalt is used interchangeably with the term “emergent whole” (Johansson, 1998). The emergence of a cognitive Gestalt structure adds dynamical and psychophysical forces, which are different from the static notion of the “emergent whole”. An eminent example for the dynamic nature of the emergent process is the Necker cube, which cannot be perceived as static, but rotates in front of our eyes to the complete exhaustion of the eye gazing process (figure 1).

Figure 7. Kanizsa square makes us see a non-existing figure – white square (Adapted from [http://en.wikipedia.org/wiki/Optical_illusion]-Gestalt Processing in Human-Robot Interaction: A Novel Account for Autism Research

A special case of Gestalt processing is the perceiving of illusions. Illusions make us see things or processes that are not there – for example the Kanizsa square like the one depicted in figure 7.

opencc-by-4.0Feb 2018View details →

Results of a research software programming and development survey at the University of Reading

In 2017 an online survey of University of Reading staff active in or supporting research and registered PhD students was undertaken to assess the nature and extent of research programming and software development activities in the University, and to understand how the University might provide guidance, training and support. The survey was a administered by the Research Data Manager on behalf of the University's Research Data Management Steering Group. The survey ran from 1st November to 15th December 2017 and collected a total of 170 responses. The survey sought responses from anyone in the University who was involved in any of the following activities: <ul> <li>writing code and using software for numerical and statistical analysis;</li> <li>creating and contributing to computational models or simulations;</li> <li>conducting Text and Data Mining (TDM) and content analysis;</li> <li>creating and contributing to software distributed as a product or implemented as a service;</li> <li>creating data visualisations;</li> <li>using markup languages to structure and render content.</li> </ul> The survey was distributed using the Bristol Online Survey. A dataset of anonymised survey responses and a PDF of the survey questions are here included.

opencc-by-4.0Jan 2018View details →

Research data supporting "MicroRNA Detection by DNA-Mediated Liposome Fusion"

Raw research data supporting the publication: Jumeaux C., et al., 2017, "MicroRNA detection by DNA-mediated liposome fusion", ChemBioChem DOI: 10.1002/cbic.201700592