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Figure 1 in Size-dependent sex allocation in Solanum lycocarpum St. Hil. (Solanaceae)
Figure 1. Flowers of Solanum lycocarpum. (A) Hermaphrodite flower; (B) Male flowers. The scale bars units were 3 cm for each picture.
Fig. 4 in Temperature-dependent development of Xyleborus glabratus (Coleoptera: Curculionidae: Scolytinae)
Fig. 4. Mean ± SE number of teneral adults per 5 galleries per log encountered every other day in the avocado logs at 4 constant temperatures.
Fig. 3 in Temperature-dependent development of Xyleborus glabratus (Coleoptera: Curculionidae: Scolytinae)
Fig. 3. Mean ± SE number of pupae per 5 galleries per log encountered every other day in the avocado logs at 4 constant temperatures.
Fig. 1 in Temperature-dependent development of Xyleborus glabratus (Coleoptera: Curculionidae: Scolytinae)
Fig. 1. Mean ± SE number of eggs per 5 galleries per log observed every other day in the avocado logs at 4 constant temperatures.
A quantitative model of temperature-dependent diapause progression
<p>R-code and data for reproducing the results of von Schmalensee, Süess et al. 2024 <em>PNAS</em></p> <p>Scripts will run/load the models and save the raw figures in the figure folder.</p> <p>Remember to install the required packages (see 'functions_packages.R' in the functions folder).</p> <p>R version 4.3.3 and brms version 2.21.0 was used.</p>
Fig. 4 in Is parasite load dependent on host aggregation size? The case of the greater mouse-eared bat Myotis myotis (Mammalia: Chiroptera) and its parasitic mite Spinturnix myoti (Acari: Gamasida)
Fig. 4 Relationship between the size of bat maternity aggregation (a), percentage of forest cover (b), body condition index (c), and parasite infection of the examined bats in the Carpathians Mountains (2007).
Fig. 1 in Is parasite load dependent on host aggregation size? The case of the greater mouse-eared bat Myotis myotis (Mammalia: Chiroptera) and its parasitic mite Spinturnix myoti (Acari: Gamasida)
Fig. 1 Distribution of greater mouse-eared bat (Myotis myotis) maternity aggregations (grey circles) and single founding individuals (black dots) in the Beskids (Carpathian Mountains, Poland). Data pooled from Kozakiewicz (2003), Szkudlarek et al. (2008), and our data. For the investigated maternity colonies, forested areas within a 10-km radius is shown
Fig. 3 in Is parasite load dependent on host aggregation size? The case of the greater mouse-eared bat Myotis myotis (Mammalia: Chiroptera) and its parasitic mite Spinturnix myoti (Acari: Gamasida)
Fig. 3 Proportions of protonymph (PN), deutonymph (DN), and adult (AD) stages of S. myoti mites, collected from Myotis myotis (bars), and the sex ratios of deutonymph and adult mites (circles)
Fig. 2 in Is parasite load dependent on host aggregation size? The case of the greater mouse-eared bat Myotis myotis (Mammalia: Chiroptera) and its parasitic mite Spinturnix myoti (Acari: Gamasida)
Fig. 2 Micrograph of the adult female Spinturnix myoti, dorsal view. Scanning electron microscopy image, original magnification ×40
Host Data from: [O II] as an Effective Indicator of the Dependence Between the Standardised Luminosities of Type Ia Supernovae and the Properties of their Host Galaxies
<p>Spectral properties of the Foundation Host Galaxies presented in the paper: <span>[O</span> II<span>] as an Effective Indicator of the Dependence Between the </span><span>Standardised Luminosities of Type Ia Supernovae and the Properties of </span><span>their Host Galaxies.</span></p> <p><span>Spectra were taken using the WiFeS instrument on the ANU 2.3m Telescope.</span></p>
Figure 2 in A sense of scale: Foraging cetaceans' use of scale-dependent multimodal sensory systems
Figure 2. Scale-of-senses schematic of the hypothetical interchange of sensory modalities used by baleen whales to locate prey at variable scales. The line for audition of signals from prey is faded to denote a lack of evidence for this sensory system in baleen whales. X-axis on log scale, with equivalent metric distance given in gray type, and associated scale below. Y-axis ranks the relative use of each sensory modality between 0 (no contribution) and 10 (highest contribution) relative to its own information capacity, not relative to other senses.
Figure 1 in A sense of scale: Foraging cetaceans' use of scale-dependent multimodal sensory systems
Figure 1. Scale-of-senses schematic of the hypothetical interchange of sensory modalities used by dolphins to locate prey at variable scales. The line for chemoreception is faded to denote a lack of support for the sensory system in dolphins. X-axis on log scale, with equivalent metric distance given in gray type, and associated scale below. Y-axis ranks the relative use of each sensory modality between 0 (no contribution) and 10 (highest contribution) relative to its own information capacity, not relative to other senses.
Figure 9. Experimental Page Rank dependency on Markov Chain length with balanced distribution-Study of a Random Navigation on the Web Using Software Simulation
<p>This paper explored different implementation choices for analyzing the most important<br> parameters about a web. Many researchers explored the use of new search engines for studying the<br> evolution of the web (Ntoulas, Cho and Olston, 2004). Another important research is realized about<br> the Link Structure Graph (LSG). The LSG captures a complete hyperlink structure from the web<br> and models link associations reflected in the page layout (Rodrigues, Milic-Frayling and Fortuna,<br> 2007). For further works ideas like extrapolation methods for accelerating page rank calculation can<br> be developed (Kamvar et al., 2003).</p>
Figure 7. Experimental Page Rank dependency on Markov Chain length-Study of a Random Navigation on the Web Using Software Simulation
<p>The next diagram proves that the values for Experimental Page Rank depend on the length<br> of the Markov Chain, while Algorithmic Page Rank remains constant.</p>
BRAIN Journal-Redesigning a Flexible Material Master Data Application with Language Dependency-Figure 9b. Translation of a tab for all languages
<p>After checking a few (or all!) languages for instance and pressing the Ok button , we obtain the windows shown in figure 9a, or respectively 9b for all languages. Here we can add one or more missing translations, or modify one or more of the existing translations accordingly. All the data within the view cluster can be translated into any language supported by the system.</p>
BRAIN Journal-Redesigning a Flexible Material Master Data Application with Language Dependency-Figure 8. GoTo -> Translation Option
<p>For example, we select in the view cluster the tab called “Forecasting” and then choose Goto -> Translation (figure 8). After selecting Goto -> Translation, we obtain a selecting window for the desired languages where the user can check one or more languages to translate those tabs or areas into. </p>
BRAIN Journal-Redesigning a Flexible Material Master Data Application with Language Dependency-Figure 9a. Translation of a tab for certain languages
<p>After checking a few (or all!) languages for instance and pressing the Ok button , we obtain the windows shown in figure 9a, or respectively 9b for all languages. Here we can add one or more missing translations, or modify one or more of the existing translations accordingly. All the data within the view cluster can be translated into any language supported by the system.</p>
BRAIN Journal-Redesigning a Flexible Material Master Data Application with Language Dependency-Figure 7. Dialog structure of the View Cluster
<p>Field dependency has been generated automatically and as a result the following desired structure has been achieved (figure 7). After populating the database tables with data in different languages with the help of the view cluster, the popup has been adapted in order to support the translation of the tabs and areas. Supplementary internal tables have been defined in the function module POPUP_FLEX, in order to copy data from the translation tables. The corresponding SELECT statements have been embedded in TRY-CATCH blocks, in order to prevent short dumps due to faulty selection processes.</p>
BRAIN Journal-Redesigning a Flexible Material Master Data Application with Language Dependency-Figure 6. View cluster TAFC
<p>For all these tables and views, table maintenance generators have been created and activated, in order to have the possibility to manage individual datasets in every table and view. The corresponding names of those function groups for the table maintenance generators are the same names as those for the views. The purpose of these maintenance views is only to take care of the input data more efficiently. These views will be used later in the view cluster, which ensures a hierarchical order of the data. Therefore, the maintenance views will also include the predecessor, in order to facilitate linking in the field dependency tab of the view cluster (Swapna, 2007). These three maintenance views are embedded in the following view cluster (figure 6)</p>
BRAIN Journal-Redesigning a Flexible Material Master Data Application with Language Dependency-Figure 5. Maintenance Views
<p>Beside the tabs and the areas, the database table FLD also contains the fields TABLENAME and FIELD, which suggest the related parameters, whom input may be updated at runtime. Through standard SAP functionality the tables in BASIS, respectively their fields are by default translated in the login language of the user. So in the fields TABLENAME and FIELD of the FLD table, we will obtain, in the user login language, the names of the tables and fields from BASIS via the foreign keys to the table DD03L for TABLENAME and to the table DD02L for FIELD. Beside the database tables, 3 maintenance views have been created, TABV, AREV and FLDV, for the tabs, areas and fields of the popup (figure 5). We have chosen maintenance views instead of database views to be able to use them in the view cluster.</p>
ScienceDex guides
Understand access before you commit
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.