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469 results for “Dimensions”
Figure 3. The graphic representation of the frequencies of the specifications for the technological dimension in curricular documents--Educational Research on the Technological Dimension of Private Life
<p>There are also major differences between schooling levels (Figure 3). In the<br> gymnasium educational system (12) and high school educational system (15) there are more<br> themes concerned with the technological dimension at the level of school curricula, as<br> compared to the primary educational system (2). Also, in alternative textbooks, these themes<br> are predominant in the high school educational system (56) and the gymnasium educational<br> system (27), as compared to the primary educational system (1).</p>
Figure 4. The graphic representation of the means for the elements component of the technological dimension variable according to the group variable (teachers versus students)
<p>The second hypothesis is confirmed. There are differences between teachers’ and<br> students’ representations on the technological dimension of private life. Test t results show<br> that teachers have a more positive perception than students for the next component of<br> technological dimensions: Personal Self [t(2344) = 4,446, p <0,05], Adaptive Self [t(2344) =<br> 2,757, p <0,05], Primary groups [t(2344) = 3,192, p <0,005] (Table 3, Figure 4).</p>
The fifth dimension, the source of energy and definition of time
<p>It's a new approach to physics, this theory changed physics modern </p>
Fig. 3 in Relationship between fish length and otolith dimensions of Yellow striped goatfish, Upeneus vittatus (Forsskal, 1775) along the Indian coast
Fig. 3 — Otolith morphometry of U. vittatus used to study relationship with fish length. (Note: OL: Otolith Length, OH: Otolith width)
Fig. 4 in Relationship between fish length and otolith dimensions of Yellow striped goatfish, Upeneus vittatus (Forsskal, 1775) along the Indian coast
Fig. 4 — Relationship between (a – c: Mumbai): a) total length and otolith weight, b) total length and otolith width and c) total length and otolith length; (d – f: Kakinada): d) total length and otolith weight, e) total length and otolith width and f) total length and otolith length; (g – i: Odisha): g) total length and otolith weight, h) total length and otolith width and i) total length and otolith length; of U. vittatus
Synthetic aggregate projected maximum dimensions
<p>These files contain the projected maximum dimensions for the Kuo et al. (2016) aggregates at a variety of particle orientation angles and sensor view angles. The 'aggregate_standard.nc' file contains view angles for standard ice particle probe sensor configurations and the 'aggregate_leb.nc' file contains the view angles for probes following the Lebedev order 7 quadrature rule.</p>
Data from: Functional and phylogenetic dimensions of tree biodiversity reveal unique geographic patterns
<p>Aim: Quantify tree functional and phylogenetic richness and divergence at the global scale, and explore the drivers underpinning these biogeographic patterns.</p> <p>Location: Global</p> <p>Time Period: Present</p> <p>Major taxa studied: Trees </p> <p>Methods: Using global tree occurrence data, we outlined species' observed ranges using individual alpha hulls to obtain per-pixel tree species composition. Using eight traits from a recent tree-trait database and a vascular-plant phylogeny we computed and mapped four pixel level biodiversity indices, including two metrics related to richness: phylogenetic richness and functional richness and two related to divergence: mean pairwise phylogenetic distance and Rao's quadratic entropy. To account for the effect of species richness, we also calculated standardized effect sizes accounting for richness for each pixel. We then explored the relations between richness and divergence and the latitudinal patterns of divergence both globally and across biomes. Finally, we used a random forest modeling approach to test for drivers of the different dimensions of diversity in trees.</p> <p>Results: In contrast to the latitudinal gradient in species richness, functional and phylogenetic divergence both peak in mid-latitude systems, exhibiting the highest values in temperate ecosystems and lowest values in boreal and tropical forests. This result holds for functional divergence when removing gymnosperms but the peak flattens for phylogenetic divergence. Phylogenetic richness is consistently lower than expected given the number of species, whereas functional richness has higher-than-expected values at mid-latitudes, mimicking functional divergence patterns. When considering the drivers of these diversity patterns, temperature and historical speciation rates consistently emerge as the strongest forces driving divergence, with negligible effects of human influence, soils or historical climate stability.</p> <p>Main Conclusions: Collectively, these results reveal unique similarities and disparities across biomes that are not apparent in any single dimension of biodiversity, highlighting the importance of considering multiple aspects of biodiversity in the management of natural ecosystems.</p>
Dataset: Nano Dimension Ltd. (NNDM) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Figure 2 in Allometric equations for estimating the leaf area of Thespesia populnea by linear dimensions of leaf blades
Figure 2. Linear leaf dimensions [maximum length (L) and maximum width (W)] used to estimate the leaf area of Thespesia populnea.
Figure 1 in Allometric equations for estimating the leaf area of Thespesia populnea by linear dimensions of leaf blades
Figure 1. Geographical location of the municipality of Canguaretama, state of Rio Grande do Norte, Northeastern Brazil.
Fig. 7 in Gill dimensions in near-term embryos of Amazonian freshwater stingrays (Elasmobranchii: Potamotrygonidae) and their relationship to the lifestyle and habitat of neonatal pups
Fig. 7. (A) The relationship between total gill area (cm2) and Relative Opening of the spiracle. (B) Linear regression of the mass-specific gill area (cm2 g-1) and body surface area (cm2) of different potamotrygonid embryos: upsidedown triangle - Plesiotrygon iwamae; star - Paratrygon aiereba; diamond - Potamotrygon motoro (from Negro River); dot - Potamotrygon motoro (from Solimões River); triangle - Potamotrygon orbignyi; square - cururu ray Potamotrygon sp.
Fig. 6 in Gill dimensions in near-term embryos of Amazonian freshwater stingrays (Elasmobranchii: Potamotrygonidae) and their relationship to the lifestyle and habitat of neonatal pups
Fig. 6. The two main axes of a principal component analysis based on total gill area, mass-specific gill area, body mass, total length, Anatomical Diffusion Factor and Relative Opening of Spiracule (ROSp) in the different potamotrygonid embryos: black triangle - Plesiotrygon iwamae; open diamond - Paratrygon aiereba; circle - Potamotrygon motoro (from Negro River); open triangle - Potamotrygon motoro (from Solimões River); black square - Potamotrygon orbignyi; open square - Potamotrygon sp. (cururu ray).
Fig. 5 in Gill dimensions in near-term embryos of Amazonian freshwater stingrays (Elasmobranchii: Potamotrygonidae) and their relationship to the lifestyle and habitat of neonatal pups
Fig. 5. Triplot of log (Anatomic Diffusion Factor) versus log(water/blood barrier thickness) versus log(mass-specific gill area) of the potamotrygonid embryos.
Fig. 3 in Gill dimensions in near-term embryos of Amazonian freshwater stingrays (Elasmobranchii: Potamotrygonidae) and their relationship to the lifestyle and habitat of neonatal pups
Fig. 3. Mass-specific gill area of the anterior and posterior hemibranchs of the gill arches in different potamotrygonid embryos: (A) Potamotrygon orbignyi; (B) Potamotrygon sp.; (C) Potamotrygon motoro (from Negro River); (D) Potamotrygon motoro (from Solimões River); (E) Plesiotrygon iwamae; (F) Paratrygon aiereba.
Fig. 2 in Gill dimensions in near-term embryos of Amazonian freshwater stingrays (Elasmobranchii: Potamotrygonidae) and their relationship to the lifestyle and habitat of neonatal pups
Fig. 2. Total superficial gill area of the anterior and posterior hemibranchs of the gill arches in different potamotrygonid embryos: (A) Potamotrygon orbignyi; (B) Potamotrygon sp.; (C) Potamotrygon motoro (from Negro River); (D) Potamotrygon motoro (from Solimões River); (E) Plesiotrygon iwamae; (F) Paratrygon aiereba.
Fig. 1 in Gill dimensions in near-term embryos of Amazonian freshwater stingrays (Elasmobranchii: Potamotrygonidae) and their relationship to the lifestyle and habitat of neonatal pups
Fig. 1. The potamotrygonid embryos: (A) Potamotrygon orbignyi; (B) cururu ray Potamotrygon sp.; (C) Potamotrygon motoro (from Negro River); (D) Potamotrygon motoro (from Solimões River); (E) Plesiotrygon iwamae; (F) Paratrygon aiereba. Scale bars= 1 cm.
Рис. 3. А — гастроΛиты гуся беΛоΛобого (кварц и отΑеΛьные кристаΛΛы амфибоΛов), ХороΛьский район, сеΛо Сиваковка; Б — гастроΛиты из жеΛуΑка гуся беΛоΛобого (размерность кварцевых зерен), южный берег оз. Ханка Fig. 3. A — gastroliths of a white-fronted goose (quartz and individual crystals of amphiboles), Khorolsky District, Sivakovka village; Б — gastroliths from the stomach of a white-fronted goose (dimension of quartz grains), the southern shore of Lake Khanka in The mineral composition of gastroliths in the stomachs of Anatidae in Primorsky Region and the importance of silicon minerals in the physiology of birds
Рис. 3. А — гастроΛиты гуся беΛоΛобого (кварц и отΑеΛьные кристаΛΛы амфибоΛов), ХороΛьский район, сеΛо Сиваковка; Б — гастроΛиты из жеΛуΑка гуся беΛоΛобого (размерность кварцевых зерен), южный берег оз. Ханка Fig. 3. A — gastroliths of a white-fronted goose (quartz and individual crystals of amphiboles), Khorolsky District, Sivakovka village; Б — gastroliths from the stomach of a white-fronted goose (dimension of quartz grains), the southern shore of Lake Khanka
Dataset - ESG Dimensions and Corporate Value of the Brazilian Companies
<p><span>This dataset is the population</span><span> of the public companies from the Brazilian Stock Market (</span><span>B3, 2023</span><span>). The authors use the list of 100 more liquidity companies on B3. Once the authors collected the 100 most </span><span>liquid</span><span> companies, based on the trade shares during the period of 5 years (2017 to 2021), the authors </span><span>analysed</span><span> the database </span><span>and</span><span> eliminated all the companies with missing data during the period of 5 years. In the end of the depuration process, the authors have 93 publicly traded companies collected from the Economatica database system from the year 2017 to 2021, performing a dataset of 465 observations for 5 years. The authors observed 81 companies linked to at least one ESG-related </span><span>index</span><span> and 12 companies </span><span>without</span><span> connection to ESG. The companies used </span><span>were</span><span> only the ones </span><span>that</span><span> have all data available in all years. </span></p>
Figure 8. Knowledge input dimension of microlearning-Micro Learning: A Modernized Education System
<p>Figure 8 portrays the research directing the studies on the knowledge input dimension of microlearning. Almost 81% of the respondents believed that microlearning is the best learning system for integrated mashup PLE, followed by 66% of the respondents whose opinion was that dynamic applications of microlearning enhances knowledge. Almost 72% of the respondents believed that microlearning is suitable for diverse subjects, whereas 67% of the respondents believed that the use of digital artifacts maximizes the process of aggregation.</p>
Figure 5. Microlearning dimensions-Micro Learning: A Modernized Education System
<p>The inquiry on the different aspects of the various dimension of microlearning is reflected in figure 5. The result is obtained based on 82 respondents who were learners from different groups. 74% of the respondents consider that process to be a micro learning dimension which strengthens the knowledge input followed by time, up to 60%. The curriculum and mediality had the same 46% of the respondents. 32% and 30% of the respondents believe that the learning type and the content strengthen the knowledge input through microlearning. The lowest percentage is of 20% and 14%.</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.