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Fig. 11. Anthrenocerus stigmacrophilus. Lateral habitus. Scale line 0.5 in Description of the Larval Stage ofMyrmeanthrenus frontalisArmstrong andAnthrenocerus stigmacrophilusArmstrong (Coleoptera: Dermestidae), with a Discussion of their Phylogenetic Relationships
Fig. 11. Anthrenocerus stigmacrophilus. Lateral habitus. Scale line 0.5 mm.
Fig. 1. Myrmeanthrenus frontalis. Lateral habitus. Scale line 1 in Description of the Larval Stage ofMyrmeanthrenus frontalisArmstrong andAnthrenocerus stigmacrophilusArmstrong (Coleoptera: Dermestidae), with a Discussion of their Phylogenetic Relationships
Fig. 1. Myrmeanthrenus frontalis. Lateral habitus. Scale line 1 mm.
Text-fig. 5. Fossils of some mammalian taxa from Gánovce-Hrádok Neanderthal site. a) Castor fiber – mandible dext. et sin. with incisors and p4 – m3 in lateral (mandible) and occlusal (cheek teeth) views (OF 6664–6665); b) Ursus ex gr. spelaeus – right mandible fragment with m1 – m3 in lateral view (P-unnumbered); c) Coelodonta antiquitatis – p2 sin. in buccal view (OF 7188); d) Equus sp. I (cf. taubachensis) – P3 – M3 dext. in travertine, buccal view (P-14302); e) Equus sp. II (cf. germanicus) – Mt sin. fragment in anterior view (OF unnumbered); f) Alces alces – left maxilla fragment with M1 – M3 in occlusal view (P-14303); g) Mammuthus primigenius – m2 sin. in occlusal view (P-14312); h) Palaeoloxodon antiquus – palate fragment with M3 dext. et sin. in occlusal view (P-14281). 50 mm scale is for a–c, 100 mm scale is for d–h. in Revised Floral And Faunal Assemblages From Late Pleistocene Deposits Of The Gánovce-Hrádok Neanderthal Site -Biostratigraphic And Palaeoecological Implications
Text-fig. 5. Fossils of some mammalian taxa from Gánovce-Hrádok Neanderthal site. a) Castor fiber – mandible dext. et sin. with incisors and p4 – m3 in lateral (mandible) and occlusal (cheek teeth) views (OF 6664–6665); b) Ursus ex gr. spelaeus – right mandible fragment with m1 – m3 in lateral view (P-unnumbered); c) Coelodonta antiquitatis – p2 sin. in buccal view (OF 7188); d) Equus sp. I (cf. taubachensis) – P3 – M3 dext. in travertine, buccal view (P-14302); e) Equus sp. II (cf. germanicus) – Mt sin. fragment in anterior view (OF unnumbered); f) Alces alces – left maxilla fragment with M1 – M3 in occlusal view (P-14303); g) Mammuthus primigenius – m2 sin. in occlusal view (P-14312); h) Palaeoloxodon antiquus – palate fragment with M3 dext. et sin. in occlusal view (P-14281). 50 mm scale is for a–c, 100 mm scale is for d–h.
Text-fig. 12. Silutanispermum kvacekiorum gen. et sp. nov. seeds from the Early Cretaceous Famalicão locality (sample 025), Portugal; Synchrotron radiation X-ray tomographic microscopy (SRXTM, orthoslices). a) Longitudinal orthoslice (yz1170) through the median plane of the seed (S170238) in the micropylar region showing exotestal cells lining the micropylar slit (mi) and hilum (hi); note the well-preserved mesotestal cells (me). b) Longitudinal orthoslice (xz0805) of seed perpendicular to the median plane through the micropylar region showing the transverse micropylar slit (mi) lined by radiating exotestal cells; note abundant mesotestal cells (me). c) Transverse orthoslice (xy0768) through seed below hilum and micropyle showing exotesta (ex) and mesotesta (me) that is strongly developed along the raphe (ra) (S174352). d) Transverse orthoslice (xy2113) through middle of the seed showing well-preserved cellular nutritive tissue with empty cells; note that the raphe (ra) is enclosed in mesotestal tissue (S174352). e) Longitudinal orthoslice (yz0970) through seed coat showing exotesta (ex) of tall palisade-shaped cells and thick mesotesta (me) of low cells (S174352). Scale bars = 500 µm (a, c, d); 250 µm (b); 125 µm (e). in Extinct Taxa Of Exotestal Seeds Close To Austrobaileyales And Nymphaeales From The Early Cretaceous Of Portugal
Text-fig. 12. Silutanispermum kvacekiorum gen. et sp. nov. seeds from the Early Cretaceous Famalicão locality (sample 025), Portugal; Synchrotron radiation X-ray tomographic microscopy (SRXTM, orthoslices). a) Longitudinal orthoslice (yz1170) through the median plane of the seed (S170238) in the micropylar region showing exotestal cells lining the micropylar slit (mi) and hilum (hi); note the well-preserved mesotestal cells (me). b) Longitudinal orthoslice (xz0805) of seed perpendicular to the median plane through the micropylar region showing the transverse micropylar slit (mi) lined by radiating exotestal cells; note abundant mesotestal cells (me). c) Transverse orthoslice (xy0768) through seed below hilum and micropyle showing exotesta (ex) and mesotesta (me) that is strongly developed along the raphe (ra) (S174352). d) Transverse orthoslice (xy2113) through middle of the seed showing well-preserved cellular nutritive tissue with empty cells; note that the raphe (ra) is enclosed in mesotestal tissue (S174352). e) Longitudinal orthoslice (yz0970) through seed coat showing exotesta (ex) of tall palisade-shaped cells and thick mesotesta (me) of low cells (S174352). Scale bars = 500 µm (a, c, d); 250 µm (b); 125 µm (e).
FIGURE. Ramalina cumanensis. Sipman & O. Reyes 34456 (B). Scale= 10.5 mm. in The genus Ramalina Acharius (Ascomycota, Lecanoromycetes, Ramalinaceae) in northern South America
FIGURE. Ramalina cumanensis. Sipman & O. Reyes 34456 (B). Scale= 10.5 mm.
FIGURE. Ramalina tenaensis. Habit (holotype). Scale = 22.6 mm. in The genus Ramalina Acharius (Ascomycota, Lecanoromycetes, Ramalinaceae) in northern South America
FIGURE. Ramalina tenaensis. Habit (holotype). Scale = 22.6 mm.
FIGURE Ramalina subcalcarata. Habit (holotype). Scale = 12.6 mm. in The genus Ramalina Acharius (Ascomycota, Lecanoromycetes, Ramalinaceae) in northern South America
FIGURE Ramalina subcalcarata. Habit (holotype). Scale = 12.6 mm.
FIGURE. Isidial structures in R. canaguensis var. canaguensis. Scale = 0.6 mm. in The genus Ramalina Acharius (Ascomycota, Lecanoromycetes, Ramalinaceae) in northern South America
FIGURE. Isidial structures in R. canaguensis var. canaguensis. Scale = 0.6 mm.
Fig. 6 in Life-history of the South American darter, Characidium pterostictum (Crenuchidae): evidence for small scale spatial variation in a piedmont stream
Fig. 6. Seasonal variation of mean condition factor (K) of Characidium pterostictum in the Lajeado river (southern Brazil). PA, upstream site; PB, downstream site. * In PA no specimen was captured in Summer.
Figure 5 in Variation in elasmoid fish scale patterns is informative with regard to taxon and swimming mode
Figure 5. Principal components analysis (PC1 and PC2) of mean scale shapes in each area: A1, A2, A3, C1, C2, C3, P1, P2, P3 as defined in Fig. 1. A, Mugil cephalus; B, Mugil curema; C, Dicentrarchus labrax.
Figure 7 in Variation in elasmoid fish scale patterns is informative with regard to taxon and swimming mode
Figure 7. Specific swimming modes identified within body/caudal fin propulsion, based on the extended classification scheme (Lindsey, 1978) proposed by Breder (1926). Reprinted from Lindsey CC. Form, function and locomotory habits in Fish. Pages. 9 & 10, Figs 1 and 2. In: Hoar D, Randall DJ, eds. Fish Physiology. Vol. VII New York: Academic Press, Copyright (1978), with permission from Elsevier.
Figure 6. Acanthocyrtus lineatus Womersley. A, habitus. B, interocular setae. C, dorsal body chaetotaxy. D, hind claw. E, dental spines. F, mucro. G, I, body scales. H in Revision of Acanthocyrtus (Collembola: Entomobryidae), with description of a new genus from eastern Asia
Figure 6. Acanthocyrtus lineatus Womersley. A, habitus. B, interocular setae. C, dorsal body chaetotaxy. D, hind claw. E, dental spines. F, mucro. G, I, body scales. H, scales on dens. Scale bars: A and C = 0.5 mm; B, D–I = 25 Mm.
Figure 15. Metabus conacyt. A, female habitus. C, epigynum ventral view. C, caudal view. D, ventral view cleared. E, dorsal view cleared. F–G, male pedipalp. F, ectal view. G, ventral view. H, mesal view. Scale bars 0.2 in Systematics of the spider genus Metabus O. P.-Cambridge, 1899 (Araneoidea: Tetragnathidae) with additions to the tetragnathid fauna of Chile and comments on the phylogeny of Tetragnathidae
Figure 15. Metabus conacyt. A, female habitus. C, epigynum ventral view. C, caudal view. D, ventral view cleared. E, dorsal view cleared. F–G, male pedipalp. F, ectal view. G, ventral view. H, mesal view. Scale bars 0.2 mm, except in habitus 1 mm.
Data from: Comparison of seven simple loss models for runoff prediction at the plot, hillslope and catchment scale in the semiarid southwestern U.S.
<p>Infiltration excess overland flow is the dominant mechanism for runoff generation in many dryland watersheds. Event-based rainfall-runoff models therefore partition precipitation into two components: loss and excess precipitation. The latter is then transformed into a runoff hydrograph. Numerous loss models have been developed over the past century ranging from simple empirical to sophisticated physically based methods. Complex models can lead to equifinality and associated uncertainty at larger spatial scales with varying soil and cover conditions. Simple models are therefore widely used in hydrologic practice. In the absence of measured data in many arid and semiarid regions, model parameters are often estimated based on laboratory or field infiltrometer tests. Given the documented importance of spatial scale on the runoff response in dryland catchments, it is not clear how models parameterized at the point or soil column scale will perform at the hillslope or catchment scale under real-world conditions. In this study, we compared the performance of seven simple loss models with three or less parameters: the Philip, Smith-Parlange, Horton, Kostiakov, curve number (CN), initial and constant (IC) and the linear and constant (LC) models. The latter is a modification of the IC model introduced in this study. We estimated parameters at the plot scale (2.8 m<sup>2</sup><span><span><span><span><span><span><span><span><span>) using rainfall simulation and then tested model performance at the hillslope (1.5–3.7 ha) and catchment scale (2.4–2.8 km</span></span></span></span></span></span></span></span></span><sup>2</sup><span><span><span><span><span><span><span><span><span>) based on measured rainfall-runoff data at two sites in New Mexico and Arizona, U.S. Results show that rainfall simulation can be used successfully to parameterize loss models at the hillslope scale. At the catchment scale, most models showed positive bias, suggesting that other losses (such as channel or transmission losses) play an important role in determining the catchment runoff response. Rainfall intensity and temporal distribution were found to be crucial for accurate runoff prediction. Models that are sensitive to rainfall intensity during the entire simulation (Philip, Smith-Parlange, Horton, Kostiakov, LC) therefore performed better than those with an initial abstraction term (CN, IC). During intermittent rain, the best results were achieved by methods expressing infiltration capacity as a function of cumulative infiltration (LC, Smith-Parlange). </span></span></span></span></span></span></span></span></span></p>
Rectangles detected with the discrete Central multi-scale Radon transform
<p>A screen recording of a demonstration mobile phone application that uses the discrete Central Radon transfom to detect, in real-time, the most prominent rectangle seen by the device's camera.</p>
Tree seedling trait optimization and growth in response to local-scale soil and light variability
At local scales, it has been suggested that high levels of resources lead to increased tree growth via trait optimization (highly peaked trait distribution). However, this contrasts with (i) theories that suggest that trait optimization and high growth occur in the most common resource level and (ii) empirical evidence showing that high trait optimization can be also found at low resource levels. This raises the question of how are traits and growth optimized in highly diverse plant communities? Here, we propose a series of hypotheses about how traits and growth are expected to be maximized under different resource levels (low, the most common, and high) in tree seedling communities from a subtropical forest in Puerto Rico. We studied the variation in the distribution of biomass allocation and leaf traits and seedlings growth rate along four resource gradients: light availability (canopy openness) and soil K, Mg, and N contents. Our analyses consisted of comparing community trait means, trait kurtosis (a measurement of trait optimization), and relative growth rates at three resource levels (low, common, and high). Trait optimization varied across the three resource levels depending on the type of resource and trait, with leaf traits being optimized under high N and in the most common K and Mg conditions, but not at any of the light levels. Also, seedling growth increased at high light conditions and high N and K but was not related to trait kurtosis. Our results indicate that local-scale variability of soil fertility and understory light conditions result in shifts in species ecological strategies that increase growth despite a weak trait optimization, suggesting the existence of alternative phenotypes that achieve similar high performance. Uncovering the links between abiotic factors, functional trait diversity and performance is necessary to better predict tree responses to future changes in abiotic conditions.
Harter Pictorial Scale / Escala Pictórica de Harter // HARTER-P_Data_CC-CS_T1-Pre
<p>Answers given by children in the first grade of Primary Education to the 24 items of the Pictorial Scale of Perceived Competence and Social Acceptance for Young Children by Harter and Pike (1984), translated into Spanish by García Bacete et al. (2014). Data collected in public schools in Castellón and Seville (Spain) in the autumn of the school year 2009-10. The items are written in two gendered versions, one for boys and the other for girls. The scale is administered individually. The calculation of the 4 Factors is included: Cognitive competence, Physical competence, Peer acceptance and Parents.</p> <p>//</p> <p>Respuestas que los niños/as de primer curso de Educación Primaria dan a los 24 ítems de la Escala Pictórica de Competencia Autopercibida de Harter and Pike (1984), traducida al español por García Bacete et al. (2014). Datos recogidos en centros públicos de Castellón y Sevilla (España) en otoño del curso escolar 2009-10. Los ítems están redactados en versión para chicos y en versión para chicas. Escala se administra de forma individual Se incluye el cálculo de los 4 Factores: Competencia cognitiva, competencia física, aceptación de los iguales y aceptación de los padres</p>
Fine-scale phylogeography of coastal fishes in the South China Sea: Possible roles of biological traits and geography
<p>This dataset contains input files for a suite of phylogeographic analyses conducted on several coastal fishes in the South China Sea, results of which described in the paper "Fine-scale phylogeography of coastal fishes in the South China Sea: Possible roles of biological traits and geography", submitted to Journal of Biogeography.</p> <p>Outline of each analysis is as follows:</p> <p>arlequin: Estimations of genetic diversity indices and genetic differentiation using Arlequin.</p> <p>BSP: Reconstruction of historical demography using a Bayesian skyline plot implemented in BEAST.</p> <p>MSN: Construction of minimum spanning networks using PopART.</p> <p>BMS: Testing association between genetic diversity indices and biological traits by Bayesian Model Averaging using the R package 'bms'. </p> <p>PCF: Testing association between phylogeographic patterns and bilogical traits using Phylogeographic Concordance Factors.</p> <p>See readme.txt in the folder for each analysis for more detail.</p> <p> </p>
Demographic inferences and climatic niche modeling shed light on the evolutionary history of the emblematic cold-adapted Apollo butterfly at regional scale
<p>Cold-adapted species escape climate warming by latitudinal and/or altitudinal range shifts, and currently occur in Southern Europe in isolated mountain ranges within 'sky islands.</p> <p>Here we studied the genetic structure of the Apollo butterfly in five such alpine islands (above 1000 m) in France, and infer its demographic history since the last interglacial, using single nucleotide polymorphisms (ddRADseq SNPs). The Auvergne and Alps populations show strong genetic differentiation but not alpine massifs, although separated by deep valleys. Combining three complementary demographic inference methods and species distribution models (SDMs) we show that the LIG period was highly defavorable for Apollo that probably survived in small population in the highest summits of Auvergne. The population shifted downslope and expanded eastward between LIG and LGM throughout the large climatically suitable Rhône valley between the glaciated summits of Auvergne and Alps. The Auvergne and Alps populations started diverging before the LGM but remained largely connected till the mid-Holocene. Population decline in Auvergne was more gradual but started before (~7 kya versus 800 ya), and was much stronger with current population size ten times lower than in the Alps. In the Alps, the low genetic structure and limited evidence for isolation by distance suggest a non-equilibrium metapopulation functioning. The core Apollo population experienced cycles of contraction-expansion with climate fluctuations with largely inter-connected populations over time according to a 'metapopulation-pulsar' functioning. This study demonstrates the power of combining demographic inferences and SDMs to determine past and future evolutionary trajectories of an endangered species at a regional scale.</p>
FIGURE 5. Typhlotanais froufesae, female. Holotype. A, maxilliped. B, pleopod. Scale bar 0.1 in The tanaidacean assemblage from the Central Pacific Manganese Nodule Province. II. The genera Stenotanais and Typhlotanais (Crustacea)
FIGURE 5. Typhlotanais froufesae, female. Holotype. A, maxilliped. B, pleopod. Scale bar 0.1 mm.
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.