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6,025 results for “Science of science”
Fig. 28 in Type Specimens of Halacarid Mites by Dr. N. G. Makarova Relocated in the Collection of the National Museum of Nature and Science, Tsukuba, Japan
Fig. 28.ɹAgaue kurilensis, holotype ˂ NSMT-Ac 14712. Idiosoma (A), gnathosoma (B), first leg (C). Scale bars for A=200 µm, B=50 µm, C=100 µm.
Fig. 10 in Type Specimens of Halacarid Mites by Dr. N. G. Makarova Relocated in the Collection of the National Museum of Nature and Science, Tsukuba, Japan
Fig. 10.ɹHalacarellus longus [nomen nudum], ˁ NSMT-Ac 14700. Body (A), genitoanal region (B), gnathosoma (C). Scale bars for A=100 µm, BC=50 µm.
Fig. 7 in Type Specimens of Halacarid Mites by Dr. N. G. Makarova Relocated in the Collection of the National Museum of Nature and Science, Tsukuba, Japan
Fig. 7.ɹThalassarachna aculeata, paratype deutonymph NSMT-Ac 14698 (No. 5). Body (A), genitoanal region (B). Scale bars for A=100 µm, B=50 µm.
Fig. 4 in Type Specimens of Halacarid Mites by Dr. N. G. Makarova Relocated in the Collection of the National Museum of Nature and Science, Tsukuba, Japan
Fig. 4.ɹThalassarachna aculeata, holotype ˁ NSMT-Ac 14695. Body (A), genitoanal region (B), gnathosoma (C). Scale bars for A=100 µm, BC=50 µm.
Fig. 2 in Type Specimens of Halacarid Mites by Dr. N. G. Makarova Relocated in the Collection of the National Museum of Nature and Science, Tsukuba, Japan
Fig. 2.ɹAcanthopalpus hirsutus, holotype ˂ NSMTAc 14693 (A, B, D) and paratype ˂ NSMT-Ac 14694 (C, E). Idiosoma (A), genitoanal region (B), body (C), gnathosoma (D), first leg (E). Scale bars for AC=100 µm, BDE=50 µm.
Fig. 6 in Type Specimens of Halacarid Mites by Dr. N. G. Makarova Relocated in the Collection of the National Museum of Nature and Science, Tsukuba, Japan
Fig. 6.ɹThalassarachna aculeata, paratype deutonymph NSMT-Ac 14697 (No. 4). Body (A), genitoanal region (B). Scale bars for A=100 µm, B=50 µm.
Fig. 13 in Fig. 5 in Fig. 2 in An Updated Checklist of Sea Slugs (Gastropoda, Heterobranchia) from Hong Kong Supported by Citizen Science.
Fig. 13. Austruca albimana (Kossmann, 1877), SEM images of the telson of zoea II; a) at magnification 6000×; b) at magnification 10000×.
Fig. 15 in Fig. 5 in Fig. 2 in An Updated Checklist of Sea Slugs (Gastropoda, Heterobranchia) from Hong Kong Supported by Citizen Science.
Fig. 15. Austruca albimana (Kossmann, 1877), SEM images of the telson of zoea IV at magnification 40000×.
Fig. 10 in Fig. 5 in Fig. 2 in An Updated Checklist of Sea Slugs (Gastropoda, Heterobranchia) from Hong Kong Supported by Citizen Science.
Fig. 10. Austruca albimana (Kossmann, 1877), dorsal view of pleon: a) zoea I; b) zoea II; c) zoea III; d) zoea IV; e) fork of the telson of zoea IV; dorsal view of pleon: e) megalopa.
Fig. 9 in Fig. 5 in Fig. 2 in An Updated Checklist of Sea Slugs (Gastropoda, Heterobranchia) from Hong Kong Supported by Citizen Science.
Fig. 9. Austruca albimana (Kossmann, 1877), second maxilliped: a) zoea I; b) zoea II; c) zoea III; d) zoea IV; e) megalopa; f) third maxilliped of zoea IV; g) third maxilliped of megalopa.
STEM and citizen science in the Western Balkans
Open the record for dataset details and reuse information.
Figure 2 in Equity and career-life balance in marine mammal science?
Figure 2. Survey results for the cumulative amount of time spent away from home due to work-related activities (e.g., fieldwork or conferences) in any year for men (green) and women (yellow).
Figure 1 in Equity and career-life balance in marine mammal science?
Figure 1. Percentage of men (green) and women (yellow) survey respondents employed in common types of marine mammal science careers.
FIGURE 1. Macromitrium eddyi B.C in Species of Macromitrium (Orthotrichaceae) New to the Mindanao Region and the Philippines with One Species New to Science
FIGURE 1. Macromitrium eddyi B.C. Tan & Shevock from the holotype, Stevens 55716 (BM). A. Leaf apex with percurrent costa of elongate cells and upper laminal cells multipapillose. B. Leaves. C. Lower laminal cells elongate with thickened walls and narrow, straight to somewhat curved lumina cells conspicuously tuberculate. Scale bars: A, C: 5 µm, B. 0.5 mm.
Social Science Preregistration Metadata Crosswalk
<p>This spreadsheet tries to create a crosswalk for the main four social science study preregistration platfroms:</p> <ul> <li>OSF (Based on the fields for the preregistration challenge)</li> <li>EGAP</li> <li>The AEA's Social Science Registry</li> <li>RIDIE</li> </ul> <p>as well as the DataCite 4.0 Metadata Kernel</p>
Students' perceptions and attitudes towards science in PERFORM: Survey template
<p>This document contains the survey instrument developed to measure the impact of the PERFORM project RRI approach in students’ attitudes and pro-scientific behaviour and learning. It was a self-administered questionnaire combining close-ended with some open-ended qüestions. It was handled to students before and after the development of PERFORM participatory workshops to the participant students and a control group in order to:</p> <ul> <li>Obtain basic demographic data (those compatible with PERFORM ethical guidelines)</li> <li>Explore initial attitudes and perceptions towards science and STEM careers, with an emphasis on RRI-related dimensions (gender stereotypes, ethical issues, inclusiveness, engagement and critical/creative thinking) and potential changes after the implementation of participative performances (PERSEIAS in PERFORM jergon)</li> <li>Explore participants’ perceptions towards the PERSEIAS process, also as an input to inform the design of focus groups</li> </ul>
Expert-based literature review on RRI indicators for science education assessment: PERFORM analysis matrix
<p>The document contains the main variables and categories of analysis of the expert-based literature review conducted as part of the assessment impact developed in the PERFORM project. This literature review globally aimed to identify and characterize assessment frameworks used in the context of science learning and engagement with young people. Specifically, it examined the operationalization of: i) RRI values and process requirements, ii) transversal competences, iii) experiential aspects, and iv) cognitive aspects. In doing that assessment gaps and challenges where identified relevant to the context of PERFORM and, more broadly, to the development of science education assessments incorporating the RRI dimension. By assessment framework we refer to a set of interlinked criteria, practices and concepts providing a systematic way of data collection, analysis and interpretation to the study of science learning and engagement. The template for data collection was organised in different sections approaching the following specific review questions and sub-questions:</p> <ol> <li><em>What assessment frameworks can be identified in the selected sample?</em> <ol> <li>On which disciplines are they based?</li> <li>What is being assessed in these frameworks?</li> <li>How it is the evaluation conducted?</li> <li>What are the challenges of each approach for assessing science learning and engagement?</li> </ol> </li> <li><em>How are transversal competences, RRI and emotional factors included in these frameworks?</em> <ol> <li>How are these notions operationalised?</li> <li>What kinds of evaluation indicators are applied for data collection, if any?</li> </ol> </li> </ol>
Exploiting the potential of neutron imaging measurements for life sciences applications at the neutron spallation source, ISIS, UK - Crabs X-ray CT
<p>A ZIP file containing slices (in TIFF format) from a X-ray CT scan of crabs from the Eocene of Spain. Specimen was scanned on a Nikon Metrology HMX ST 225 system at the Natural History Museum, London, using a 1.0 mm thick copper filter, 225 kV voltage and 180 μA current, giving a tomographic dataset with a voxel size of 46 µm.</p>
BRAIN Journal-Cursor Movement – a Valuable Indicator in Intelligent System Design-Figure 1. Science branches involved in translating product features to human needs
<p>Approach notwithstanding, designing product features involves basically a two-step process: (a) detecting and recognizing emotional information and (b) exhibiting a suitable reaction to the previously considered input. Since needs are reflected in the emotional impact, a method to measure the emotions is necessary (Abraham & Michie, 2008) to correctly assess the impact. Referring strictly to a software product, in order to implement the capability to sense the users’ emotional state, the first step should be developing an affective database (Tao & Tan, 2005), to allow correct identification of the affective status. This results in a translation between the affective status of the user and the computer, therefore allowing the program to process the user emotion just like any other input, successfully “digitizing” emotion. </p>
BRAIN Journal-Personality Questionnaires as a Basis for Improvement of University Courses in Applied Computer Science and Informatics-Figure 5. Hierarchical clustering by scores across the EPQ–R scales for data about all the participants
<p>The clusters were generated using an implementation of a hierarchical clustering algorithm available in the R environment (R, n.d.). The top three clusters were extracted from a hierarchical cluster tree shown in Figure 5, while the color of data points in the visualization shown in figure 4 was determined based on cluster labels. Hierarchical clusters could be used when investigating which students in the analyzed sample share similar personality traits. This could be especially useful for smaller student groups as the teacher may manually inspect the cluster tree and its leaves, which designate individual students. For instance, there are three students in cluster 3, who are represented within the tree in Figure 5 by identifiers 14, 22, and 24. The students with identifiers 14 and 22 are more closely linked and more similar to each other than to the student with identifier 24. </p>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.