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The moisture plasticizing effect on enzyme-catalyzed reactions in model and real systems in view of legume ageing and their hard to cook development
<p>Data used for the figures in the article</p>
Impaired selection of a previously ignored singleton: evidence for saliency map plastic changes
<p>Dataset related to the manuscript "Impaired selection of a previously ignored singleton: evidence for saliency map plastic changes", to appear in the Quarterly Journal of Experimental Psychology.</p> <p>Please refer to the readme.txt file inside the folder for details about the dataset.</p>
Figure 11 in Speciation, phenotypic plasticity, or ontogeny, the case of the genus Galkinius (Pyrgomatidae, Cirripedia, Crustacea)
Figure 11. External view of fused scuta and terga of the different species of Galkinius adapted from Chan et al. (2013a, b). A, Galkinia altiapiculus from Platygyra pini; B, G. altiapiculus from Goniastrea pectinata; C, Galkinia tabulatus from Stylophora pistillata; D, Galkinia decima from Montastrea sp.; E, G. decima from Montastrea sp.; F, Galkinia trimegadonta from Platygyra sp.; G, G. trimegadonta from Platygyra sp.; H, Galkinia equus from Favites abdita; I, G. equus from Favites abdita; J, Galkinia indica from Hydnophora microconos; K, G. indica from Hydnophora microconos; L, Galkinia depressa from Favites abdita; M, Galkinia adamanteus from Favites abdita. Scale bar for all images = 1 mm.
Figure 9 in Speciation, phenotypic plasticity, or ontogeny, the case of the genus Galkinius (Pyrgomatidae, Cirripedia, Crustacea)
Figure 9. Fused opercular valves of Galkinius showing primordial scuta and terga and the suture in the fused valve marking the margins of the two parts of the valve. A, host: Favites sp. B, host: Acantastrea. C, host not known.
Figure 8 in Speciation, phenotypic plasticity, or ontogeny, the case of the genus Galkinius (Pyrgomatidae, Cirripedia, Crustacea)
Figure 8. Opercular valves of Galkinius extracted from Acantastrea: A, WAM C55434; host: Acantastrea hillae. B, TAU AR36552; host: Acantastrea rutondoflora.
Figure 10 in Speciation, phenotypic plasticity, or ontogeny, the case of the genus Galkinius (Pyrgomatidae, Cirripedia, Crustacea)
Figure 10. Maximum likelihood phylogenetic tree of Galkinius and Creusia based on cytochrome c oxidase subunit I. The outgroup is Cantellius pallidus. The analysis involved 74 nucleotide sequences, of which 13 sequences of Galkinius are from species described by Chan et al. (2013a) and 60 are new sequences. Host names are in parentheses. Barnacles extracted from a single coral colony are indicated by the same capital letter. Bootstrap support of nodes with more than 90% associated with sequences that clustered together is shown next to the branches with their Bayesian support. The tree is drawn to scale, with branch lengths presenting the number of substitutions per site. Abbreviation: ESU, evolutionarily significant unit.
Figure 7 in Speciation, phenotypic plasticity, or ontogeny, the case of the genus Galkinius (Pyrgomatidae, Cirripedia, Crustacea)
Figure 7. Opercular valves of Galkinius extracted from Platygyra NHM 2013 803–808; host: Platygyra pini.
Figure 6. A in Speciation, phenotypic plasticity, or ontogeny, the case of the genus Galkinius (Pyrgomatidae, Cirripedia, Crustacea)
Figure 6. A, opercular valves of Galkinius extracted from Psammocora: TAU AR29344; host: Psammocora sp. B, Galkinius decima, after Darwin (1854: plate XIV, 6t; Creusia spinulosa var. 10).
Figure 5 in Speciation, phenotypic plasticity, or ontogeny, the case of the genus Galkinius (Pyrgomatidae, Cirripedia, Crustacea)
Figure 5. Opercular valves of Galkinius extracted from Goniastrea: NHM 2013 784–788; host: Goniastrea sp.
Figure 4 in Speciation, phenotypic plasticity, or ontogeny, the case of the genus Galkinius (Pyrgomatidae, Cirripedia, Crustacea)
Figure 4. Opercular valves of Galkinius extracted from Favites: A, TAU AR29315; host: Favites sp. 5. B, NHM 2013 763–767; host: Favites halicora. C, NHM 2013. 769–773; host: Favites pentagona.
Figure 2 in Speciation, phenotypic plasticity, or ontogeny, the case of the genus Galkinius (Pyrgomatidae, Cirripedia, Crustacea)
Figure 2. Opercular valves of Galkinius extracted from Echinophyllia: A, TAU-AR-29262; host: Echinophyllia aspra. B, TAU-AR29261; host: Echinophyllia echinata. C, TAU-AR (no data); host: E. echinata.
Figure 3 in Speciation, phenotypic plasticity, or ontogeny, the case of the genus Galkinius (Pyrgomatidae, Cirripedia, Crustacea)
Figure 3. Opercular valves of Galkinius extracted from Favia: A, TAU-AR29262 host: Favia pallida. B, TAU-AR29264 host: Favia sp. C, TAU-AR29263; host: Favia rosaria.
Figure 1 in Speciation, phenotypic plasticity, or ontogeny, the case of the genus Galkinius (Pyrgomatidae, Cirripedia, Crustacea)
Figure 1. Opercular valves of Galkinius extracted from Hydnophora; A, NHM-2013 798–802; host: Hydnophora exesa. B, WAM-22091; host: H. exesa. C, NHM-2013 793–797; host: H. exesa. D, TAU AR29315; host: H. exesa. E, opercular valve of Galkinius indica, after Darwin (1854: plate XIV, 6.u; Creusia spinulosa var. 11). Abbreviations: ap, adductor plate; rt, rostral tooth; sc, scutum; sp, spur; tf, tergal furrow; tg, tergum.
Fig. 3 in Plasticity in the Nesting Behavior of Ontherus sulcator (Fabricius) (Coleoptera: Scarabaeidae: Scarabaeinae)
Fig. 3. Schematic drawings of Ontherus sulcator nests. A) Brood ball within a nesting chamber, 14 cm deep in the soil, and a short nearby storage burrow not connected to the soil surface or to the nesting chamber, B) Brood ball within a nesting chamber, 12 cm deep in the soil, and a long nearby storage burrow not connected to the soil surface or to the nesting chamber. Scale bars = 1.5 cm.
Fig. 2 in Plasticity in the Nesting Behavior of Ontherus sulcator (Fabricius) (Coleoptera: Scarabaeidae: Scarabaeinae)
Fig. 2. Brood balls of Ontherus sulcator. A) Brood ball with dome-shaped protrusion, B) Typical brood ball with flattened, T-shaped protrusion, C) Brood ball with dome-shaped protrusion, D) Typical brood ball with flattened, T-shaped protrusion, E) Longitudinal section of brood ball showing the egg chamber, dung provision, and external wall, F) Egg inside egg chamber. Scale bars A–E = 1.0 cm; scale bar F = 0.5 cm.
Fig. 1 in Plasticity in the Nesting Behavior of Ontherus sulcator (Fabricius) (Coleoptera: Scarabaeidae: Scarabaeinae)
Fig. 1. Different shapes of dung storage burrows of Ontherus sulcator. A) Vertical, oblique at the bottom, and completely filled with dung, B) Vertical with dung only in the distal chamber, C) Oblique at the bottom with dung only in the distal chamber, D) Vertical and filled with dung along its entire length. Scale bars = 2.0 cm.
Fig. 4 in Plasticity in the Nesting Behavior of Ontherus sulcator (Fabricius) (Coleoptera: Scarabaeidae: Scarabaeinae)
Fig. 4. Cylindrical brood masses of Ontherus sulcator. A) and B) External view of the two recorded brood masses; note the external cover of soil attached to the brood mass, C) Longitudinal section of a brood mass showing the egg inside the egg chamber and the external soil cover. Scale bars = 1.0 cm.
Data from: SNF1-related protein kinase 1: the many-faced signaling hub regulating developmental plasticity in plants
<p>The Snf1-Related Protein Kinase 1 (SnRK1) is the plant homolog of the heterotrimeric AMP-activated Protein Kinase/ Sucrose Non-Fermenting 1 (AMPK/Snf1), which works as a major regulator of growth under nutrient-limiting conditions in eukaryotes. Along with its conserved role as a master regulator of sugar starvation responses, SnRK1 is involved in controlling the developmental plasticity and resilience under diverse environmental conditions in plants. In this review, through mining and analyzing the interactome and phosphoproteome data of SnRK1, we are highlighting its role in fundamental cellular processes such as gene regulation, protein synthesis, primary metabolism, protein trafficking, nutrient homeostasis, autophagy, etc. Along with the well-characterized molecular interaction in SnRK1 signaling, our analysis highlights several unchartered regions of SnRK1 signaling in plants such as its possible communication with chromatin remodelers, histone modifiers, inositol phosphate signaling, etc. We also discuss potential reciprocal interactions of SnRK1 signaling with other signaling pathways and cellular processes, which could be involved in maintaining flexibility and homeostasis under different environmental conditions. Overall, this review provides a comprehensive overview of the SnRK1 signaling network in plants and suggests many novel directions for future research.</p>
Data in support of: Biomineralization of plastic waste to improve the strength of plastic-reinforced cement mortar
<p></p><p>The development of methods to reuse large volumes of plastic waste is essential to curb the environmental impact of plastic pollution. Plastic-reinforced cementitious materials (PRCs), such as plastic-reinforced mortar (PRM), may be potential avenues to productively use large quantities of low-value plastic waste. However, poor bonding between the plastic and cement matrix reduces the strength of PRCs, limiting its viable applications. In this study, calcium carbonate biomineralization techniques were applied to coat plastic waste and improved the compressive strength of PRM. Two biomineralization treatments were examined: enzymatically induced calcium carbonate precipitation (EICP) and microbially induced calcium carbonate precipitation (MICP). MICP treatment of polyethylene terephthalate (PET) resulted in PRMs with compressive strengths similar to that of plastic-free mortar and higher than the compressive strengths of PRMs with untreated or EICP-treated PET. Based on the results of this study, MICP was used to treat hard-to-recycle types 3–7 plastic waste. No plastics investigated in this study inhibited the MICP process. PRM samples with 5% MICP-treated polyvinyl chloride (PVC) and mixed type 3–7 plastic had compressive strengths similar to plastic-free mortar. These results indicate that MICP treatment can improve PRM strength and that MICP-treated PRM shows promise as a method to reuse plastic waste.</p><p></p>
Data from: Trophic plasticity of mixotrophic corals under contrasting environments
<p>1. Mixotrophic organisms can derive nutrition from both auto- and heterotrophy, which allows them to use a variety of trophic pathways to sustain their metabolic demands under variable conditions. Therefore, when facing environmental change, these organisms are expected to demonstrate an intrinsic ability to acclimatise through trophic plasticity.</p> <p>2. Scleractinian corals are ecologically important mixotrophs, but understanding their trophic plasticity has been impaired by an oversimplification toward inconsistent proxies of coral diet and overlooking intraspecific variability.</p> <p>3. Here, we applied a Bayesian analysis of carbon and nitrogen stable isotope data to determine the trophic niches of six common species of scleractinian corals and their associated endosymbionts, and combined it with an unsupervised machine learning algorithm to identify trophic behaviours and strategies.</p> <p>4. We found a variable amount of nutritional plasticity identified by different trophic behaviours within and between mixotrophic corals living under the same environmental conditions. Further, we observed changes in trophic plasticity across environmental conditions. Corals from variable environments had larger host and endosymbiont niches than corals from stable environments. In addition, deeper corals had niches indicating a greater degree of heterotrophy than shallow corals. Collectively, corals exhibited distinct trophic strategies by promoting trophic niche differentiation along the mixotrophic continuum and conspecific individual colonies displayed high trophic variation.</p> <p>5. Our results provide a foundation to understand how mixotrophic organisms may adjust their nutrition in response to ongoing global environmental change and the consequential modification of benthic assemblages.</p>
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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.