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18,621 results for “development;”
Figure 1 in The effects of maize pollen on development and population growth potential of Amblyseius swirskii and Cydnoseius negevi (Acari: Phytoseiidae) in subsequent generations
Figure 1. Age-stage specific survival rate (sxj) of Amblyseius swirskii and Cydnoseius negevi reared on pollen grains of maize for 11 generations.
Fig. 3 in Asymbiotic germination, multiplication and development of Alatiglossum fuscopetalum (Orchidaceae) as affected by culture medium, sucrose and growth regulators
Fig. 3. Growth index of Alatiglossum fuscopetalum on Murashige and Skoog (MS and ½MS), Knudson (KN), and Vacin and Went (VW) media, 90 days after the onset of seed germination. Histobars with the same letters are not significantly different according to the Tukey's test at the 5% probability level.
Fig. 2 in Asymbiotic germination, multiplication and development of Alatiglossum fuscopetalum (Orchidaceae) as affected by culture medium, sucrose and growth regulators
Fig. 2. Germination percentages of Alatiglossum fuscopetalum seeds on Murashige and Skoog (MS and ½MS), Knudson (KN), and Vacin and Went (VW) media. Histobars with the same letters are not significantly different according to the Tukey's test at the 5% probability level.
Figs. 1 A-D in Asymbiotic germination, multiplication and development of Alatiglossum fuscopetalum (Orchidaceae) as affected by culture medium, sucrose and growth regulators
Figs. 1 A-D. Protocorm developmental stages of Alatiglossum fuscopetalum from seed germination in vitro. A. Stage 1 swollen green embryos (protocorm phase); B. Stage 2 protocorm bearing one leaf; C. Stage 3 protocorm bearing two leaves; D. Stage 4 protocorm with leaves and one root (seedling stage). Bars = 1 mm.
Figure 1 in History and development of ABCDEFG: a data standard for geosciences
Figure 1. Simplified overview of the schema extension EFG. Given are the relationships among EFG components and between EFG components and the ABCD schema. EFG elements are given in yellow and elements originating from ABCD in green.
Data from: Developing spatially explicit and stochastic measures of ecological departure
<p>Background: Ecological departure is a metric applied to mapped ecological systems measuring dissimilarity between the distributions of observed and expected proportions of non-stochastic reference vegetation classes within an area.</p> <p>Aims: We created spatially explicit measures of ecological departure incorporating stochasticity for each ecological system and all ecological systems from a central Nevada USA landscape.</p> <p>Methods: Spatially explicit ecological departures were estimated from a radius from each pixel governed by a distance-decay function within a moving window. Variability was introduced by simulating replicate climate time series for each spatial reference condition and calculating departure per replicate.</p> <p>Key results: Single system spatial ecological departure was highly and extensively departed, except for one area of low-elevation groundwater-dependent systems. Variance of spatial ecological departure was extensively low, except in areas of lower ecological departure, despite vegetation differences among replicates. The multiple-system ecological departure exhibited lower ecological departure.</p> <p>Conclusions: Spatial ecological departure was warranted for efficient land management as results were concordant between non-spatial and spatial metrics; however, rapid coding languages will be required.</p>
FIGURE 7 in A new species of Moenkhausia (Characiformes: Characidae) from the rio Madeira basin, Brazil, with comments on the evolution and development of the trunk lateral line system in characids
FIGURE 7 | Type-locality of Moenkhausia cambacica, tributary of igarapé Ávila, upper rio Machado, rio Madeira basin, Vilhena, Rondônia, Brazil.
FIGURE 6 in A new species of Moenkhausia (Characiformes: Characidae) from the rio Madeira basin, Brazil, with comments on the evolution and development of the trunk lateral line system in characids
FIGURE 6 | Distribution of Moenkhausia cambacica in the upper rio Machado, rio Madeira basin, Brazil. Black star (type-locality), blue star (other localities).
FIGURE 5 in A new species of Moenkhausia (Characiformes: Characidae) from the rio Madeira basin, Brazil, with comments on the evolution and development of the trunk lateral line system in characids
FIGURE 5 | Paratypes of Moenkhausia cambacica, MZUSP 125793, freshly collected, showing other aspects of its live coloration, Brazil, Rondônia State, Municipality of Vilhena, rio Madeira basin, upper rio Machado drainage.
FIGURE 3 in A new species of Moenkhausia (Characiformes: Characidae) from the rio Madeira basin, Brazil, with comments on the evolution and development of the trunk lateral line system in characids
FIGURE 3 | Schematic drawing of Moenkhausia cambacica showing A. lateral-line perforation pattern observed in most specimens. B. Morphology of the lateral-line scales above anal fin: I – scale lacking tube and pore; II – scale with poorly developed tube, with small tube walls; III – scale with poorly developed tube, walls larger but not enclosed; IV– scale with fully developed bony tube, tube walls enclosed, with a posterior pore.
FIGURE 4 in A new species of Moenkhausia (Characiformes: Characidae) from the rio Madeira basin, Brazil, with comments on the evolution and development of the trunk lateral line system in characids
FIGURE 4 | Live coloration of Moenkhausia cambacica, paratype, MZUSP 125793, Brazil, Rondônia State, Municipality of Vilhena, rio Madeira basin, upper rio Machado drainage.
FIGURE 1 in A new species of Moenkhausia (Characiformes: Characidae) from the rio Madeira basin, Brazil, with comments on the evolution and development of the trunk lateral line system in characids
FIGURE 1 | Holotype of Moenkhausia cambacica, MZUSP 125792, 34.8 mm SL, Brazil, Rondônia State, Municipality of Vilhena, rio Madeira basin, upper rio Machado drainage.
FIGURE 2 in A new species of Moenkhausia (Characiformes: Characidae) from the rio Madeira basin, Brazil, with comments on the evolution and development of the trunk lateral line system in characids
FIGURE 2 | Medial view of left side, premaxillary, maxillary, and dentary of Moenkhausia cambacica, MZUSP 125793, 27.1 mm SL, paratype. Scale bar: 1 mm.
Pre- and postnatal noise directly impairs avian development, with fitness consequences
<p><span>Noise pollution is expanding at an unprecedented rate and </span><span>is</span><span> increasingly associated with impaired reproduction and development across taxa. However, whether noise soundwaves are intrinsically harmful for developing young – or merely disturb parents – and the fitness consequences of early exposure </span><span>remains</span><span> unknown. Here, </span><span>by only manipulating the offspring</span><span>, we </span><span>show</span><span> that sole exposure to noise in early-life </span><span>in zebra finches </span><span>has fitness consequences, </span><span>and causes</span><span> embryonic death during exposure. </span><span>Exposure to </span><span>pre- and postnatal traffic noise cumulatively impaired nestling growth and physiology, and </span><span>aggravated telomere shortening </span><span>across life stages </span><span>until adulthood</span><span>. Consistent with a long-term somatic impact, early-life noise exposure, especially prenatally, decreased individual offspring production throughout adulthood. Our findings </span><span>suggest the </span><span>effects of noise pollution </span><span>are more pervasive </span><span>than previously realized.</span></p>
Supporting Material: Scientific Literature on the Sustainable Development Goals (SDGs). Scopus - May 2022
<p>This is a supplementary dataset for an article analysing the scientific literature related to the Sustainable Development Goals (SDGs) using Scopus-indexed journals. </p> <p>Data were retrieved in May 2022. Scopus was searched in the Title, Abstract, and Keywords fields looking for each of the 17 SDGs (search query example: TITLE-ABS-KEY (“SDG1” or "SDG 1").</p> <p>The dataset includes the following information for each of the 4808 scientific publication:</p> <p>ID: an identificatory alphanumerical number given by the authors</p> <p>Primary SDG: the main SDG the document focus on (MULTIPLE in case of more than one, ALL in case of all the SDGs)</p> <p>Year: Year of publication</p> <p>Title: title of the publication</p> <p>Abstract: abstract of the publication</p> <p>Index keywords: keywords of the publication</p> <p> </p>
Figure 5 in Early development of Gongolaria montagnei (Fucales, Phaeophyta) germlings under laboratory conditions, with a view to enhancing restoration potential in the Eastern Mediterranean
Figure 5: Growth of Gongolaria montagnei embryos and germlings during incubation (31 days). Increase in relative growth rates (RGR) was observed in two phases (red lines), from days 8–15 (0.2 day−1) and days 21–31 (0.1 day−1).
Figure 4 in Early development of Gongolaria montagnei (Fucales, Phaeophyta) germlings under laboratory conditions, with a view to enhancing restoration potential in the Eastern Mediterranean
Figure 4: Divisions and developmental stages of Gongolaria montagnei. (A) Zygote after release from the conceptacle. (B) First division. (C) Second, most common, division. (D) Second, rare, division. (E) Development of the rhizoids (arrow). (F) Elongation of the rhizoids. (G) Fertilization membrane (arrow). (H) Hyaline apical hairs. (I) Germling after five weeks of culture. Scale bar = 100 μm.
Figure 2 in Early development of Gongolaria montagnei (Fucales, Phaeophyta) germlings under laboratory conditions, with a view to enhancing restoration potential in the Eastern Mediterranean
Figure 2: Thallus of Gongolaria montagnei during the reproductive period (A, scale bar = 3 cm), mature apical fronds (B, scale bar = 3 cm) and receptacles (C, scale bar = 2 mm).
Figure 1 in Early development of Gongolaria montagnei (Fucales, Phaeophyta) germlings under laboratory conditions, with a view to enhancing restoration potential in the Eastern Mediterranean
Figure 1: Map showing locations (marked with symbols and) where the reproductive phenology of Gongolaria montagnei was followed in sitU from February to May 2021. Mature receptacles were collected at Saronida ().
Figure 3 in Early development of Gongolaria montagnei (Fucales, Phaeophyta) germlings under laboratory conditions, with a view to enhancing restoration potential in the Eastern Mediterranean
Figure 3: Cross section of a receptacle of Gongolaria montagnei, showing antheridia (A) and oogonia (O). Scale bar = 100 μm.
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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.