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Figure 7 from: Johannisson T (2020) Variation in length of alpha waves reveals how forebrain activity is organized. Research Ideas and Outcomes 6: e49942. https://doi.org/10.3897/rio.6.e49942
Figure 7 Variation in wavelength at 11.2 Hz. The red, green, and blue symbols indicate a relatively complicated pattern wherein the elements are repeated at an interval of six waves. The EEG is from a 28-year-old female.
Figure 8 from: Johannisson T (2020) Variation in length of alpha waves reveals how forebrain activity is organized. Research Ideas and Outcomes 6: e49942. https://doi.org/10.3897/rio.6.e49942
Figure 8 The starting point for the two levels hypothesis. A hand has an inside and an outside, and both sides are available for observation. In a similar way, the activity in some parts of the brain can be observed from two different angles.
research data supporting "Revealing the organization of catalytic sequence-defined oligomers via combined molecular dynamics simulations and network analysis"
<p>This repository contains all the data generated and analyzed including the starting structures, the input files, the trajectory files, the output data from cpptraj and network analyses, and in-house scripts used to prepare the network and module files shown in the paper <strong>"Revealing the organization of catalytic sequence-defined oligomers via combined molecular dynamics simulations and network analysis"</strong> published in <strong>Journal of Chemical Information and Modeling</strong> (DOI: 10.1021/acs.jcim.2c00101). </p>
Figure 5 from: Keshavan A, Madan CR, Datta E, McDonough IM (2017) Mindcontrol: Organize, quality control, annotate, edit, and collaborate on neuroimaging processing results. Research Ideas and Outcomes 3: e12276. https://doi.org/10.3897/rio.3.e12276
Figure 5 - Example of new scatterplot function. Structural Foreground to Background Energy Ratio is positively related with Structural Contrast to Noise Ratio. Single data points can also be highlighted to detect outlers.
Figure 4 from: Keshavan A, Madan CR, Datta E, McDonough IM (2017) Mindcontrol: Organize, quality control, annotate, edit, and collaborate on neuroimaging processing results. Research Ideas and Outcomes 3: e12276. https://doi.org/10.3897/rio.3.e12276
Figure 4 - Example of scatterplot function to display the relationship of metrics in longitudinal data
Figure 2 from: Keshavan A, Madan CR, Datta E, McDonough IM (2017) Mindcontrol: Organize, quality control, annotate, edit, and collaborate on neuroimaging processing results. Research Ideas and Outcomes 3: e12276. https://doi.org/10.3897/rio.3.e12276
Figure 2 - The longitudinal view of a single subject and their quality metrics over time. Clicking on a point on the plots on the left-hand side loads the correponding image on the right.
Рис. 5. Суточная активность поΑземной поΛевки (на примере синхронной активности ♀ № 1 и № 3, ♂ № 4; июΛь 2000 г., манеж БиНИИ) Fig. 5. Daily activity of the common pine vole (on the example of synchronous activity of ♀ No. 1 and 3, ♂ No. 4; July 2000, measured in a pen at the Scientific Research Institute of Biology) in Spatial Organization Of Common Pine Vole (Microtus Subterraneus Selys-Longchamps, 1836) Colonies
Рис. 5. Суточная активность поΑземной поΛевки (на примере синхронной активности ♀ № 1 и № 3, ♂ № 4; июΛь 2000 г., манеж БиНИИ) Fig. 5. Daily activity of the common pine vole (on the example of synchronous activity of ♀ No. 1 and 3, ♂ No. 4; July 2000, measured in a pen at the Scientific Research Institute of Biology)
Рис. 6. Суточный бюΑжет времени основных виΑов ΑеятеΛьности поΑземной поΛевки (на примере активности ♂ № 4; июΛь 2000 г., манеж БиНИИ) Fig. 6. Daily time budget of the main activities of the common pine vole. (on the example of the activity of ♂ No. 4; July 2000, measured in a pen at the Scientific Research Institute of Biology) in Spatial Organization Of Common Pine Vole (Microtus Subterraneus Selys-Longchamps, 1836) Colonies
Рис. 6. Суточный бюΑжет времени основных виΑов ΑеятеΛьности поΑземной поΛевки (на примере активности ♂ № 4; июΛь 2000 г., манеж БиНИИ) Fig. 6. Daily time budget of the main activities of the common pine vole. (on the example of the activity of ♂ No. 4; July 2000, measured in a pen at the Scientific Research Institute of Biology)
Figure 1a from: Hambly A, Stedmon C (2018) FluoRAS Sensor - Online organic matter for optimising recirculating aquaculture systems. Research Ideas and Outcomes 4: e23957. https://doi.org/10.3897/rio.4.e23957
Figure 1a An example of a fluorescence EEM "fingerprint" of drinking water. Multivariate modelling of EEM datasets allows the most important areas of the EEM to be identified, and used for simplified online fluorescence sensors. - EMM viewed as a contour plot
Figure 1b from: Hambly A, Stedmon C (2018) FluoRAS Sensor - Online organic matter for optimising recirculating aquaculture systems. Research Ideas and Outcomes 4: e23957. https://doi.org/10.3897/rio.4.e23957
Figure 1b An example of a fluorescence EEM "fingerprint" of drinking water. Multivariate modelling of EEM datasets allows the most important areas of the EEM to be identified, and used for simplified online fluorescence sensors. - EMM viewed as a waterfall plot
Fig 2 from: Strauß J (2019) What determines the number of auditory sensilla in the tympanal hearing organs of Tettigoniidae? Perspectives from comparative neuroanatomy and evolutionary forces. Journal of Orthoptera Research 28(2): 205-219. https://doi.org/10.3897/jor.28.33586
Fig 2 Standardized effects of call patterns in Neoconocephalus on the number of CA sensilla and CA length for a. Pulse rate; b. Structure of continuous or discontinuous calls; and c. Pulse pattern. The evolutionary derived call characters are a slow pulse rate, discontinuous calls, and double pulses. Significance levels: * 0.05 > p > 0.01; ** 0.01 > p > 0.001. Adapted from Strauß et al. 2017, with permission from John Wiley and Sons.
Fig 1 from: Strauß J (2019) What determines the number of auditory sensilla in the tympanal hearing organs of Tettigoniidae? Perspectives from comparative neuroanatomy and evolutionary forces. Journal of Orthoptera Research 28(2): 205-219. https://doi.org/10.3897/jor.28.33586
Fig 1 The auditory system of bushcrickets. a. Schematic of the acoustic trachea (at) from the acoustic spiracle (as) in the thorax into the foreleg with tympanal membranes (ty) in the proximal tibia; b. Transverse section of the tibia at the level of the tympana and crista acustica in Gampsocleis gratiosa; in Gampsocleis gratiosa; c. The sensory organs in the proximal tibia of the male Tettigonia viridissima. The dorsal cuticle has been removed after axonal tracing of the tympanal nerve with cobalt solution to stain sensory neurons of the subgenual organ (SGO), intermediate organ (IO) and crista acustica. The crista acustica is placed between the anterior tympanum (aty) and posterior tympanum (pty). The tympanal flaps (tf) cover the tympanal membranes. Arrows indicate the tectorial membrane; d. Morphological differences of sensory neurons along the crista acustica from G. gratiosa, showing the (di) third-most proximal, (dii) middle, and (diii) third-most distal sensillum. Abbreviations: at, anterior trachea; aty, anterior tympanum; cc, cap cell; de, dendrite; dow, dorsal tracheal wall; hc, haemolymph channel; IO, intermediate organ; nmc, nerve muscle channel; nsc, nucleus of scolopale cell; pn, perikarya of sensory neurons; pt, posterior trachea; pty, posterior tympanum; s, septum; sb, supporting band; scol, scolopale cap and rods; SGO, subgenual organ; sli, slit; sn, sensory neuron; tf, tympanal flap; tm, tectorial membrane. Scales: 500 µm (B), 100 µm (C), 50 µm (D). Figure a. reprinted from Strauß et al. 2014, with permission from John Wiley and Sons. b., d. redrawn from Lin et al. 1994, with permission from John Wiley and Sons.
Research data for "Visualization and Quantification of Geometric Diversity in Metal-Organic Frameworks"
<p>This dataset supports the paper: "Visualization and Quantification of Geometric Diversity in Metal-Organic Frameworks".</p> <p>The coarse-grained scaled and unscaled structures are provided here in CIF format. The code introduced in this work is subject to continuing development (and can be found at: https://github.com/tcnicholas/coarse-graining), therefore we include here the version of the code used for this paper alongside the Python analysis scripts.</p> <p>The original unprocessed CIFs were extracted from the Cambridge Structural Database (CSD).</p>
Figure 4 from: Scholes D, Suarez A, Smith A, Johnston S, Paige K (2014) Organ-specific patterns of endopolyploidy in the giant ant Dinoponera australis. Journal of Hymenoptera Research 37: 113-126. https://doi.org/10.3897/jhr.37.6824
Figure 4 - Endopolyploidy of organs by functional system. Cycle value of organs within each functional system (abbreviations "Digest.": digestive; "Reprod.": reproductive). Shown are means ± standard error across 5 replicates of each organ within each system. Systems are presented in descending order of mean cycle value. Bars labeled with letters denote statistical groups determined by Tukey's Studentized range test (significance tested at αfamily = 0.05). Numbers above each bar indicate the number of organs that comprise each respective system.
Figure 2 from: Scholes D, Suarez A, Smith A, Johnston S, Paige K (2014) Organ-specific patterns of endopolyploidy in the giant ant Dinoponera australis. Journal of Hymenoptera Research 37: 113-126. https://doi.org/10.3897/jhr.37.6824
Figure 2 - Differences in endopolyploidy among body segments. Percentage of endopolyploid (4C, 8C, 16C, 32C, and 64C) nuclei for each body segment. Shown are means ± standard error across 5 individuals. Letters indicate significant (α = 0.05) differences among body segments. Significance was determined by analysis of arc-sine square-root transformed proportions.
Figure 1 from: Scholes D, Suarez A, Smith A, Johnston S, Paige K (2014) Organ-specific patterns of endopolyploidy in the giant ant Dinoponera australis. Journal of Hymenoptera Research 37: 113-126. https://doi.org/10.3897/jhr.37.6824
Figure 1 - Distribution of ploidy among organs. Percentage of nuclei at each of the ploidy levels observed (2C–64C) within each organ analyzed. Organs are presented by body segment in descending order of cycle value.
Figure 3 from: Scholes D, Suarez A, Smith A, Johnston S, Paige K (2014) Organ-specific patterns of endopolyploidy in the giant ant Dinoponera australis. Journal of Hymenoptera Research 37: 113-126. https://doi.org/10.3897/jhr.37.6824
Figure 3 - Cycle values for each organ analyzed within each body segment. Shown are means ± standard error across 5 replicates of each organ within each body segment. Organs are presented in descending order of mean cycle value. Bars labeled with letters denote statistical groups determined by Tukey's Studentized range test (significance tested at αfamily = 0.05).
Figure 5 from: Schmitt M, Uhl G (2015) Functional morphology of the copulatory organs of a reed beetle and a shining leaf beetle (Coleoptera: Chrysomelidae: Donaciinae, Criocerinae) using X-ray micro-computed tomography. In: Jolivet P, Santiago-Blay J, Schmitt M (Eds) Research on Chrysomelidae 5. ZooKeys 547: 193–203. https://doi.org/10.3897/zookeys.547.7143
Figure 5 - Donacia semicuprea. Volume rendering of the virtual sections – sagittal, right to the median – through the abdomina of a mating pair. The opening of the bursa copulatrix (circle) is armed with a conspicuous ring muscle. C: the compound muscle inserting at the manubrium and extending to the lateral rims of the basal orifice of the median lobe; M: median lobe; P: paramere.
Figure 1 from: Schmitt M, Uhl G (2015) Functional morphology of the copulatory organs of a reed beetle and a shining leaf beetle (Coleoptera: Chrysomelidae: Donaciinae, Criocerinae) using X-ray micro-computed tomography. In: Jolivet P, Santiago-Blay J, Schmitt M (Eds) Research on Chrysomelidae 5. ZooKeys 547: 193–203. https://doi.org/10.3897/zookeys.547.7143
Figure 1 - Schematic drawing of the sclerotised part of a Donaciinae aedeagus. The given terms of orientation do not refer to the position within the male abdomen nor within the female during copulation since these structures are rotated during mating. The median lobe is shaded grey. Paramere, tegminal ring and manubrium compose the tegmen.
Figure 6 from: Schmitt M, Uhl G (2015) Functional morphology of the copulatory organs of a reed beetle and a shining leaf beetle (Coleoptera: Chrysomelidae: Donaciinae, Criocerinae) using X-ray micro-computed tomography. In: Jolivet P, Santiago-Blay J, Schmitt M (Eds) Research on Chrysomelidae 5. ZooKeys 547: 193–203. https://doi.org/10.3897/zookeys.547.7143
Figure 6 - Donacia semicuprea, Volume rendering of ca. 390 virtual sections – sagittal, paramedian, tilted to the right – through the abdomina of a mating pair. The bursa is elongate, as seen from the proximal wall (arrow). The yellow shining areas inside the female abdomen are parts of the left ovary. P: paramere.
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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.