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Fig. 6. – Sabicea couteronii O in A synopsis of the Sabicea floribunda group (Rubiaceae) from Central Africa, including three new species
Fig. 6. – Sabicea couteronii O. Lachenaud, Zemagho & Sonké: A. Node with inflorescences; B. Fruiting stem; C. Mature infructescence. Sabicea dichrosepala O. Lachenaud, Zemagho & Sonké: D. Inflorescence; E. Mature infructescence. [A: Sonké & Zemagho 6341; B–C: Sonké & Zemagho 6334; D: Bidault et al. 4401; E: Dessein et al. 2028] [Photos: A–C: B. Sonké; D: E. Bidault; E: S. Dessein]
Fig. 8 in A synopsis of the Sabicea floribunda group (Rubiaceae) from Central Africa, including three new species
Fig. 8. – Distribution map of Sabicea floribunda K. Schum. (squares: var. anisostegia O. Lachenaud, Zemagho & Sonké; stars: var. floribunda; triangles: var. paludosa O. Lachenaud, Zemagho & Sonké; circles: var. paucinervis Wernham).
Fig. 10 in A synopsis of the Sabicea floribunda group (Rubiaceae) from Central Africa, including three new species
Fig. 10. – Distribution map of Sabicea proselyta (N. Hallé) Razafim. et al. (circles), S. rubiginosa O. Lachenaud, Zemagho & Sonké (stars) and S. sanguinosa (N. Hallé) Razafim. et al. (triangles: subsp. sanguinosa; squares: subsp. viridis O. Lachenaud, Zemagho & Sonké).
Fig. 3. – Sabicea couteronii O in A synopsis of the Sabicea floribunda group (Rubiaceae) from Central Africa, including three new species
Fig. 3. – Sabicea couteronii O. Lachenaud, Zemagho & Sonké. A. Flowering stem; B. Node with stipules; C. Detail of upper leaf surface; D. Detail of lower leaf surface; E. Node with paired inflorescences; F. Lower bract, inside; G. Upper bract, inside; H. Flower bud; I. Flower, lateral view; J. Flower, seen from above; K. Longitudinal section of flower; L. Longitudinal section of ovary and calyx; M. Fruit; N. Cross section of fruit. [A–L: Sonké & Zemagho 6341, BR; M–N: Sonké & Zemagho 6334, BR] [Drawing: H. de Vries
Fig. 2 in A synopsis of the Sabicea floribunda group (Rubiaceae) from Central Africa, including three new species
Fig. 2. – Seeds of Sabicea spp. viewed in electron microscopy. Sabicea proselyta (N. Hallé) Razafim. et al.: A. Entire seed; B. Detail of seed surface. Sabicea rubiginosa O. Lachenaud, Zemagho & Sonké: C. Entire seed; D. Detail of seed surface. Sabicea sanguinosa subsp. sanguinosa: E. Entire seed; F. Detail of seed surface. Sabicea segregata Hiern: G. Entire seed; H. Detail of seed surface. [A–B: van Valkenburg et al. 3140; C– D: Lachenaud et al. 2105; E– F: A. M. Louis & Reitsma 2004; G–H: J.J.F.E. de Wilde et al. 9485] [Photos: I. van der Beeten]
Figure 3 in Wild Relatives of the Eggplant (Solanum melongena L.: Solanaceae): New Understanding of Species Names in a Complex Group
Figure 3. Fruit shape and colour variation in cultivars of the common eggplant, Solanum melongena. Photograph taken by J. Prohens. doi:10.1371/journal.pone.0057039.g003
Figure 2. A in Wild Relatives of the Eggplant (Solanum melongena L.: Solanaceae): New Understanding of Species Names in a Complex Group
Figure 2. A sample of form and leaf variation in Solanum campylacanthum A.Rich. from across its morphological and geographical range showing the cline in leaf shape from south to north. A. Habit with narrow elliptic leaves. B. Habit with small leaves, small flowers, and dense curved prickles. C. Habit with ovate leaves and no prickles. D. Habit with large prickles and multiple fruits per infructescence. E. Habit with lobed leaves. F. Habit with cordate leaves. G. Short-stalked trichome from abaxial side of leaf. (Based on: A, Mott 11B, country; B, Gilfillan 6056, country; C, Torre 7145, Mozambique; D, Stewart E33, country; E, G, Friis et al. 8107, Ethiopia; F, Friis 8505, Ethiopia) Scale bar: A–F = 4 cm; G = 0.4 mm. Drawn by Lucy T. Smith. doi:10.1371/journal.pone.0057039.g002
Figure 1 in Wild Relatives of the Eggplant (Solanum melongena L.: Solanaceae): New Understanding of Species Names in a Complex Group
Figure 1. Representative flower and fruit morphology of eggplant and its wild relatives. A. Solanum campylacanthum inflorescences (Kenya - Vorontsova et al. 157); B. Solanum incanum immature fruit (Kenya – Vorontsova et al. 203); C. Solanum insanum fruit cross-section (China – Wang et al. 2047); D. Solanum insanum inflorescence with several hermaphrodite flowers (China – Wang et al. 2039); E. Solanum linnaeanum with yellow mature and mottled green immature fruit, note highly dissected leaves (Spain - Knapp IM-10096); F. Solanum melongena flower with duplicated parts (China – Wang et al. 2042). Photographs: A, B taken M.S. Vorontsova; C, D, E, F taken by S. Knapp. doi:10.1371/journal.pone.0057039.g001
Fig. 13. – Sabicea sanguinosa subsp. viridis O in A synopsis of the Sabicea floribunda group (Rubiaceae) from Central Africa, including three new species
Fig. 13. – Sabicea sanguinosa subsp. viridis O. Lachenaud, Zemagho & Sonké: A. Inflorescence (short-styled flowers); B. Mature infructescence. Sabicea segregata Hiern: C. Flowering stem; D. Detail of inflorescence with short-styled flowers; E. Stem with immature fruits; F. Mature infructescence. [A–B: Lachenaud et al. 1918; C: Dessein et al. 2148; D: Bidault et al. 1316; E: Dessein et al. 1862; F: Sonké & Ikabanga 6139] [Photos: A: O. Lachenaud; B: D.I. Lafferty; C, E: S. Dessein; D: E. Bidault; F: B. Sonké]
Fig. 12. – Sabicea rubiginosa O in A synopsis of the Sabicea floribunda group (Rubiaceae) from Central Africa, including three new species
Fig. 12. – Sabicea rubiginosa O. Lachenaud, Zemagho & Sonké: A. Plant with flowers and fruits; B. Lower side of leaf; C. Inflorescence; D. Infructescence with mature (white) and immature fruits (green). Sabicea sanguinosa subsp. sanguinosa: E. Apex of flowering stem. Sabicea sanguinosa subsp. viridis O. Lachenaud, Zemagho & Sonké: F. Stem with flowers and fruits, note bullate leaves. [A: Sonké & Ikabanga 6155; B, D: Lachenaud et al. 2105; C: Bidault et al. 1329; F: Bidault et al. 1691] [Photos: A: B. Sonké; B, D: O. Lachenaud; C, F: E. Bidault; E: J.-P. Vande weghe]
Fig. 7 in A synopsis of the Sabicea floribunda group (Rubiaceae) from Central Africa, including three new species
Fig. 7. – Sabicea floribunda var. floribunda: A. Inflorescence. Sabicea floribunda var. paucinervis Wernham: B. Fruits. Sabicea nobilis R.D. Good: C. Lower side of leaf; D. Stem with mature infructescence. Sabicea proselyta (N. Hallé) Razafim. et al.: E. Fruiting stem; F. Mature infructescence. [A: near Tchimbélé, Gabon, plant not collected; B: Sonké 5915; C–D: Texier et al. 706; E: Sonké & Zemagho 6329; F: van Valkenburg et al. 3140] [Photos: A: S. Dessein; B: B. Sonké; C–D: N. Texier; E: B. Sonké; F: J. Degreef]
Group and individual social network metrics are robust to changes in resource distribution in experimental populations of forked fungus beetles
<p>Social interactions drive many important ecological and evolutionary processes. It is therefore essential to understand the intrinsic and extrinsic factors that underlie social patterns. A central tenet of the field of behavioral ecology is the expectation that the distribution of resources shapes patterns of social interactions.</p> <p>We combined experimental manipulations with social network analyses to ask how patterns of resource distribution influence complex social interactions.</p> <p>We experimentally manipulated the distribution of an essential food and reproductive resource in semi-natural populations of forked fungus beetles (Bolitotherus cornutus). We aggregated resources into discrete clumps in half of the populations and evenly dispersed resources in the other half. We then observed social interactions between individually marked beetles. Half-way through the experiment, we reversed the resource distribution in each population, allowing us to control any demographic or behavioral differences between our experimental populations. At the end of the experiment, we compared individual and group social network characteristics between the two resource distribution treatments.</p> <p>We found a statistically significant but quantitatively small effect of resource distribution on individual social network position and detected no effect on group social network structure. Individual connectivity (individual strength) and individual cliquishness (local clustering coefficient) increased in environments with clumped resources, but this difference explained very little of the variance in individual social network position. Individual centrality (individual betweenness) and measures of overall social structure (network density, average shortest path length, and global clustering coefficient) did not differ between environments with dramatically different distributions of resources.</p> <p>Our results illustrate that the resource environment, despite being fundamental to our understanding of social systems, does not always play a central role in shaping social interactions. Instead, our results suggests that sex differences and temporally fluctuating environmental conditions may be more important in determining patterns of social interactions.</p>
Figures 13–18 in Dichotomius woodruffi, a new Dichotomius species of the agenor group from Costa Rica and Nicaragua (Coleoptera: Scarabaeidae: Scarabaeinae)
Figures 13–18. Comparative structures of Dichotomius spp. 13) D. centralis anterior pronotal surface (lateraloblique view) subrugose, male pronotal anterior declivity with a medial carina. 14) D. agenor ventral clypeal process bilobed. 15) D. agenor female cephalic carina bituberculate. 16) D. enioi ventral clypeal process truncate. 17) D. enioi male anterior pronotal border simple, not medially sinuate. 18) D. enioi male pygidium less than twice as long as wide, convex.
Figures 1–6. Dichotomius woodruffi, new species. 1 in Dichotomius woodruffi, a new Dichotomius species of the agenor group from Costa Rica and Nicaragua (Coleoptera: Scarabaeidae: Scarabaeinae)
Figures 1–6. Dichotomius woodruffi, new species. 1) Dorsal habitus, holotype, male. Scale bar equals 1 cm. 2) Dorsal habitus, allotype, female. Scale bar equals 1 cm. 3) Frontal view, holotype, male. 4) Frontal view, allotype, female. 5) Ventral clypeal process spiniform, holotype male. 6) Anterior pronotal border (frontal view), holotype male.
Figures 7–12 in Dichotomius woodruffi, a new Dichotomius species of the agenor group from Costa Rica and Nicaragua (Coleoptera: Scarabaeidae: Scarabaeinae)
Figures 7–12. Dichotomius woodruffi, new species, and D. centralis. 7–11) D. woodruffi. 7) Anterior pronotal sulcus (lateral-oblique view), holotype male. 8) Male pygidium twice as broad as long, slightly convex, holotype male. 9) Lateral view of the aedeagus, holotype male. 10) Ventral view of the aedeagus, holotype male. 11) Lamella copulatrix, holotype male. 12) D. centralis, elytral stria crenulate.
Figure 19 in Dichotomius woodruffi, a new Dichotomius species of the agenor group from Costa Rica and Nicaragua (Coleoptera: Scarabaeidae: Scarabaeinae)
Figure 19. Known distribution of Dichotomius agenor, D. centralis, and D. woodruffi new species in Nicaragua, Costa Rica, and Panama.
Sub-hourly water temperature data collected by UNBC's northern hydrometeorology group (NHG) across the Nechako Watershed, 2019-2021
<p>This is a dataset of water temperature time series collected at 15 minute intervals at 24 sites across the Nechako Watershed. Data are provided in comma-delimited format with one file for each site. Each file name identifies the site location. The first column contains the date/time (UTC) in the format MM/DD/YEAR HH:MM. The second column contains the corresponding water temperature in degrees Celsius to two decimals. The third column contains a recommended flag for data quality, with "P" representing a "pass", "F" denoting a "fail", and "B" denoting "backwater conditions" with the likely presence of ice and below freezing temperatures. Additional issues encountered at specific sites are identified in the attached "read me" file along with basic metadata (site coordinates, elevation and period of record). A map of the sites is also attached to depict their locations across the Nechako Watershed. </p>
Spatial Scaling Challenge. COST Action CA17134 SENSECO. Working Group 1
<p>This dataset contains the data, documentation, and scripts that compose the <strong>SPATIAL SCALING CHALLENGE</strong> organized in the framework of the <strong>SENSECO COST Action CA17143</strong> “Optical synergies for spatiotemporal SENsing of Scalable ECOphysiological traits” (<a href="https://www.senseco.eu/">https://www.senseco.eu/</a>), by the <strong>Working Group 1</strong><strong>.</strong> “Closing the scaling gap: from leaf measurements to satellite images” (<a href="https://www.senseco.eu/working-groups/wg1-scaling-gap/">https://www.senseco.eu/working-groups/wg1-scaling-gap/</a>).</p> <p>The <strong>SPATIAL SCALING CHALLENGE</strong> is an open exercise where we challenge the remote sensing community to retrieve relevant vegetation biophysical and physiological variables such as leaf chlorophyll content (<em>C</em><sub>ab</sub>), leaf area index (<em>LAI</em>), maximal carboxylation rate (V<sub>c</sub><sub>max,25</sub>), and non-photochemical quenching (<em>NPQ</em>) from simulated (hyperspectral reflectance (<em>HDRF</em>), sun-induced chlorophyll fluorescence (<em>F</em>) and land surface temperature (<em>LST)</em>) imagery.</p> <p>The dataset contains the simulated remote sensing and field data, their description, and scripts in Matlab, Python, and R languages to facilitate importing and handling the data and producing the standardized outputs necessary to participate.</p> <p><strong>IMPORTANT:</strong> <strong>Additional data</strong> that can be used at the discretion of the participants have been released in <strong><a href="https://doi.org/10.5281/zenodo.6530187">https://doi.org/10.5281/zenodo.6530187</a></strong></p> <p>The <strong>SPATIAL SCALING CHALLENGE</strong> aims at gathering the community’s expertise and knowledge to tackle the scaling problems posed by variables of different nature. These experiences will be summarized in a journal article where all the participants are invited to contribute. The exercise is internationally open. Ph.D. students, early career and senior researchers, spin-offs, and companies working in the field of remote sensing of vegetation ecophysiology are welcome to participate.</p> <p><strong>STILL OPEN FOR PARTICIPATION! New deadline 31<sup>st</sup> of October 2022.</strong></p> <p>Follow all the <strong>communications and updates</strong> of the <strong>SPATIAL SCALING CHALLENGE</strong> in the RG site: <strong><a href="https://www.researchgate.net/project/Spatial-Scaling-Challenge-COST-Action-CA17134-SENSECO-Working-Group-1">https://www.researchgate.net/project/Spatial-Scaling-Challenge-COST-Action-CA17134-SENSECO-Working-Group-1</a></strong>.</p> <p> </p>
Fig. 2 in Soil Ciliates Of Different Trophic Groups In Samur-Yalama National Park, Azerbaijan
Fig. 2. The ratio of ciliates of different trophic groups in the ecological series of "forest soil" — "buffer zone" — "agrocenosis".
Fig. 3 in Genetic Divergence Of The Species Of The Yellow Wagtails Group (Passeriformes, Motacillidae) In European Territory Of Russia
Fig. 3. Phylogenetic dendrogram of the species of the genus Motacilla built after alignment of sequences of the cytochrome oxidase I gene using JalView software (full version).
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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.