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Figure 6 in Notes on types of Australian Chartocerus Motschulsky (Hymenoptera: Signiphoridae)
Figure 6. Chartocerus delicatus (Girault), holotype ♀, Queensland Museum Type HY 8786. (a) habitus; (b) head and antenna; (c) antenna; (d) fore and hind wings; (e) mesosoma; (f) metasoma.
Figure 4 in Notes on types of Australian Chartocerus Motschulsky (Hymenoptera: Signiphoridae)
Figure 4. Chartocerus beethoveni (Girault), holotype ♀, Queensland Museum Type Hy 2969. (a) habitus; (b) head; (c) antenna; (d) fore and hind wings; (e) mesosoma; (f) mesoscutellum, metascutum and propodeum.
Figure 5 in Notes on types of Australian Chartocerus Motschulsky (Hymenoptera: Signiphoridae)
Figure 5. Chartocerus corvinus (Girault), holotype ♀, Queensland Museum Type Hy 772. (a) body and legs; (b) head; (c) legs; (d) fore and hind wings; (e) mesosoma; (f) metasoma.
Figure 3 in Notes on types of Australian Chartocerus Motschulsky (Hymenoptera: Signiphoridae)
Figure 3. Chartocerus australiensis orbiculatus (Girault), holotype ♂, Queensland Museum Type HY 2965. (a) habitus; (b) head; (c) fore and hind wings; (d) mesosoma; (e) legs; (f) genitalia.
Figure 8 in Notes on types of Australian Chartocerus Motschulsky (Hymenoptera: Signiphoridae)
Figure 8. Chartocerus hebes (Girault), Lectotype ♀, Queensland Museum Type HY 235. (a) habitus; (b) head; (c) fore and hind wings; (d) part of antenna; (e) mesosoma; (f) metasoma.
Figure 10 in Notes on types of Australian Chartocerus Motschulsky (Hymenoptera: Signiphoridae)
Figure 10. Chartocerus ruskini (Girault), holotype ♀, Queensland Museum Type Hy 4406. (a) habitus; (b) head; (c) mesosoma; (d) fore wing and hind leg.
Figure 2 in Notes on types of Australian Chartocerus Motschulsky (Hymenoptera: Signiphoridae)
Figure 2. Chartocerus australicus (Girault), holotype ♂, Queensland Museum Type HY 773. (a) colour image; (b) black-and-white image.
A novel phosphoproteomic landscape evoked in response to type I interferon in the brain and in glial cells
<p>Type I interferons (IFN-I) are key responders to central nervous system infection and injury. They mediate their effects primarily via transcriptional regulation of several hundred interferon-regulated genes. Using a mouse model for IFN-I-induced neurodegeneration, we identified widespread protein phosphorylation as a new mechanism by which IFN-I mediate their effects. Protein phosphorylation aligned with the clinical hallmarks and pathological outcome, including impaired development, motor dysfunction and seizures. <em>In vitro</em> experiments revealed extensive and rapid IFN-I-induced protein phosphorylation in microglia and astrocytes, the brain’s primary IFN-I-responding cells. Response to acute IFN-I stimulation was independent of gene expression and mediated by a small number of kinase families. The changes in the phosphoproteome affected a diverse range of cellular processes and functional analysis suggested that this response induced an immediate reactive state and prepared cells for subsequent transcriptional responses. Our studies reveal a hitherto unappreciated role for changes in the protein phosphorylation landscape in cellular responses to IFN-I and thus provide insights for novel diagnostic and therapeutic strategies for neurological diseases caused by IFN-I.</p>
FIG. 2 in Catalogue des types de la collection de phasmes du Muséum national d'Histoire naturelle de Paris (Insecta, Phasmatodea)
FIG. 2. — Visualisation de la base de données associée à ce catalogue et disponible en ligne (A) et sur le site science.mnhn.fr (B); exemple de syntype de Prisopus piperinus Redtenbacher, 1906 (MNHN-EO-PHAS552).
FIG. 1 in Catalogue des types de la collection de phasmes du Muséum national d'Histoire naturelle de Paris (Insecta, Phasmatodea)
FIG. 1. — Exemple de prises de vues illustrant le catalogue disponibles sur le site science.mnhn.fr. Holotype de Phyllium maethoraniae Delfosse, 2015 (MNHN-EO-PHAS399) en vue dorsale (A), ventrale (B), latérale (C) et photo des étiquettes (D). Échelle: 1 cm.
A novel phosphoproteomic landscape evoked in response to type I interferon in the brain and in glial cells
<p>Type I interferons (IFN-I) are key responders to central nervous system infection and injury. They mediate their effects primarily via transcriptional regulation of several hundred interferon-regulated genes. Using a mouse model for IFN-I-induced neurodegeneration, we identified widespread protein phosphorylation as a new mechanism by which IFN-I mediate their effects. Protein phosphorylation aligned with the clinical hallmarks and pathological outcome, including impaired development, motor dysfunction and seizures. <em>In vitro</em> experiments revealed extensive and rapid IFN-I-induced protein phosphorylation in microglia and astrocytes, the brain’s primary IFN-I-responding cells. Response to acute IFN-I stimulation was independent of gene expression and mediated by a small number of kinase families. The changes in the phosphoproteome affected a diverse range of cellular processes and functional analysis suggested that this response induced an immediate reactive state and prepared cells for subsequent transcriptional responses. Our studies reveal a hitherto unappreciated role for changes in the protein phosphorylation landscape in cellular responses to IFN-I and thus provide insights for novel diagnostic and therapeutic strategies for neurological diseases caused by IFN-I.</p>
Fig. 4. Types. A–B in All-inclusive descriptions of new freshwater snail taxa of the hyperdiverse family Tateidae (Gastropoda, Caenogastropoda) from the South Island of New Zealand
Fig. 4. Types. A–B. Catapyrgus jami sp. nov. C–D. Opacuincola lisannea sp. nov. (D from northern locality). E–F. Op. gretathunbergae sp. nov. G–H. Op. mete kahurangi subsp. nov. I–J. Obtusopyrgus farri sp. nov. A, C, E, G, I, holotypes, rest paratypes.
On the nature of mixed-type features in materials datasets
<p>We provide four crystalline materials datasets that contain both numerical and categorical features of materials.</p> <ol> <li>The Lattice dataset [1,2] contains 1,439 binary AB body-centered cubic crystals, as described by 12 numerical and 9 categorical variables. The lattice constant is considered as the physical property of interest.</li> <li>The TC dataset [2,3] contains 101 binary alloys of transition and rare earth metals, as described by 15 numerical and 17 categorical features. The Curie temperature (TC) is considered as the property of interest.</li> <li>The Octet binary materials dataset [4] contains 82 materials, as described by 11 numerical and 2 categorical features. The difference in LDA energy between RS and ZB (∆E = E(RS) − E(ZB)) in eV is considered as the physical property of interest.</li> <li>The Fm3m dataset [5] contains 239 binary compounds collected from the Materials Project, as described by 12 numerical and 17 categorical variables. The formation of energy is considered as the physical property of interest.</li> </ol> <p>References:</p> <p>[1] K. Takahashi, L. Takahashi, J. D. Baran, and Y. Tanaka, "Descriptors for predicting the lattice constant of body centered cubic crystal", The Journal of chemical physics 146, 204104 (2017).<br> [2] D.-N. Nguyen, T.-L. Pham, V.-C. Nguyen, T.-D. Ho, T. Tran, K. Takahashi, and H.-C. Dam, "Committee machine that votes for similarity between materials", IUCrJ 5, 830-840 (2018).<br> [3] Y. Xu, M. Yamazaki, and P. Villars, "Inorganic materials database for exploring the nature of material", Japanese Journal of Applied Physics 50, 11RH02 (2011).<br> [4] L. M. Ghiringhelli, J. Vybiral, S. V. Levchenko, C. Draxl, and M. Scheer, "Big data of materials science: critical role of the descriptor", Physical review letters 114, 105503 (2015).<br> [5] A. Jain, S. P. Ong, G. Hautier, W. Chen, W. D. Richards, S. Dacek, S. Cholia, D. Gunter, D. Skinner, G. Ceder, et al., "Commentary: The materials project: A materials genome approach to accelerating materials innovation", Apl Materials 1, 011002 (2013).</p>
Cofactor specificity of the tetrameric 6-phosphogluconate dehydrogenase from Gluconobacter oxydans: Studies of wild-type and mutants forms.
<p>Here we present the results regarding the characterization of the kinetics parameters for NAD and NADP of the 6-phosphogluconate dehydrogenase from Gluconobacter oxydans at different concentrations of 6PG.</p> <p>The raw data of kinetic parameters for NAD or NADP at different 6PG concentrations are represented in kcat and KM, with the units s-1 and µM, respectively. Al the rest values as an efficient constant are represented in s-1µM-1. </p> <p>Also, we included the kinetic characterizations of the mutants Go6PGDH-R31L, Go6PGDH-R31V, and Go6PGDH-D30N. The CSV files contain four columns. 1. NAD or NADP concentration in µM; 2. enzyme activity in U/mg; 3. Standard deviation and 4. The number of independent experiments. </p> <p> </p> <p> </p> <p> </p>
Fig. 7. Hisonotus notatus, DZSJRP 13874 in Redescription of Hisonotus notatus Eigenmann & Eigenmann, 1889 (Loricariidae: Hypoptopomatinae), the type species of the genus, and description of a new species from coastal drainages of southeastern Brazil
Fig. 7. Hisonotus notatus, DZSJRP 13874, non-type, 43.5 mm SL, female, Brazil, Rio de Janeiro, Silva Jardim Municipality, rio São João drainage.
Fig. 3 in Redescription of Hisonotus notatus Eigenmann & Eigenmann, 1889 (Loricariidae: Hypoptopomatinae), the type species of the genus, and description of a new species from coastal drainages of southeastern Brazil
Fig. 3. Lateral plates of trunk of Hisonotus notatus, DZSJRP 13852, 31.5 mm SL, male (a) and Hisonotus thayeri, DZSJRP 20157, paratype, 32.4 mm SL, female (b), left side. Scale bars = 1mm.
Fig. 6. Hisonotus notatus, MCZ 7764 in Redescription of Hisonotus notatus Eigenmann & Eigenmann, 1889 (Loricariidae: Hypoptopomatinae), the type species of the genus, and description of a new species from coastal drainages of southeastern Brazil
Fig. 6. Hisonotus notatus, MCZ 7764, paralectotype, 29.2 mm SL, female, Brazil, Rio de Janeiro, Santa Cruz district.
Fig. 2 in Redescription of Hisonotus notatus Eigenmann & Eigenmann, 1889 (Loricariidae: Hypoptopomatinae), the type species of the genus, and description of a new species from coastal drainages of southeastern Brazil
Fig. 2. Scanning electron micrographs of tip of snout of Hisonotus notatus, DZSJRP 13852, 34.6 mm SL (a, c) and Hisonotus thayeri, MNRJ 14752, 38.4 mm SL, paratype (b, d).
Fig. 4 in Redescription of Hisonotus notatus Eigenmann & Eigenmann, 1889 (Loricariidae: Hypoptopomatinae), the type species of the genus, and description of a new species from coastal drainages of southeastern Brazil
Fig. 4. Sexual dimorphism in body depth in Hisonotus notatus, MNRJ 38147, female, 37.2 mm SL (above), and male 32.3 mm SL (below).
Fig. 5 in Redescription of Hisonotus notatus Eigenmann & Eigenmann, 1889 (Loricariidae: Hypoptopomatinae), the type species of the genus, and description of a new species from coastal drainages of southeastern Brazil
Fig. 5. Geographic distribution of Hisonotus notatus (black squares, and star for type locality) and Hisonotus thayeri (red dots, and triangle for type locality) in southeastern Brazilian costal drainages. Symbols can represent more than one sampling locality.
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.