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Fig. 4. Composite phylogenetic hypothesis for 33 in Phylogenetic signal and major ecological shifts in the ecomorphological structure of stream fish in two river basins in Brazil
Fig. 4. Composite phylogenetic hypothesis for 33 stream fish species based on six different studies. Solid circles indicate six taxonomic groups that were significant in the canonical phylogenetic ordination (CPO); they are numerically labeled as follows: 1, Siluriformes/Characiformes; 2, Loricariidae; 3, Farlowella/Rineloricaria; 4, Characidae; 5, Hypostominae; 6, Pimelodella/Rhamdia.
Fig. 1 in Predictive factors of species composition of follower fishes in nuclear-follower feeding associations: a snapshot study
Fig. 1. Selected examples of nuclear-follower fish associations recorded in a stream in Southwestern Brazil: Leporellus vittatus begins to approach the bottom, while followed by a small group of Jupiaba acanthogaster (A); Leporinus macrocephalus disturbs the bottom, while Crenicichla vittata approaches to feed on fleeing or uncovered prey (B); L. macrocephalus stirs a little cloud, while a small group of Odontostilbe pequira and J. acanthogaster approaches (C); the same nuclear species stirs a large cloud, which congregates large numbers of O. pequira (D); Prochilodus lineatus begins to probe on the bottom, readily attracting a small group of O. pequira and J. acanthogaster (E); the same nuclear species stirs a large sediment cloud, which attracts large numbers of O. pequira (F). Photo credits: Sergio R. Floeter (A, E); José Sabino (B); Guilherme Ortigara Longo (C); Ivan Sazima (D, F).
Fig. 2 in Predictive factors of species composition of follower fishes in nuclear-follower feeding associations: a snapshot study
Fig. 2. Two-dimensional ordination of samples, considering the composition of follower fish species in the associations from Bray-Curtis similarity coefficient, and emphasizing the size of the sediment cloud (A), the duration of the sediment cloud (B), the identity of the nuclear species (C) and the abundance of the follower species Odontostilbe pequira, represented by the circumferences' sizes (D).
Fig. 1 in Characterization of the ovary fatty acids composition of Rhamdia quelen (Quoy & Gaimard) (Teleostei: Siluriformes), throughout their reproductive cycle
Fig. 1. Adult Rhamdia quelen sampling points location in the upper rio Uruguay. Geographical location of the points: rio Pelotinhas (PH: 28º09'41.1"S 50º26'34.3"W), mouth of rio Pelotinhas with rio Pelotas (MP: 28º30.0'32.1" S 50º56'40.9'' W), rio Pelotas BP: 28º12.0'49.7''S 50º45.0'22.6''W) and rio Vacas Gordas (VG: 28º1.0'15.5''S 46º57'1.0''W).
Fig.2. Relationship between unsaturated and saturated1 in Characterization of the ovary fatty acids composition of Rhamdia quelen (Quoy & Gaimard) (Teleostei: Siluriformes), throughout their reproductive cycle
Fig.2. Relationship between unsaturated and saturated1fatty acids in Rhamdia quelen ovaries collected from natural environment and grouped according to their gonadal maturation stage. UFA/SFA = (monounsaturated fatty acids + polyunsaturated fatty acids)/ saturated fatty acids.
Converting between the International Prostate Symptom Score (IPSS) and the Expanded Prostate Cancer Index Composite (EPIC) urinary subscales: modeling and external validation
<p><strong>Background</strong>: Prostate-related quality of life can be assessed with a variety of different questionnaires. The 50-item Expanded Prostate Cancer Index Composite (EPIC) and the International Prostate Symptom Score (IPSS) are two widely used options. The goal of this study was, therefore, to develop and validate a model that is able to convert between the EPIC and the IPSS to enable comparisons across different studies. </p> <p><strong>Methods</strong>: Three hundred forty-seven consecutive patients who had previously received radiotherapy and surgery for prostate cancer at two institutions in Switzerland and Germany were contacted via mail and instructed to complete both questionnaires. The Swiss cohort was used to train and internally validate different machine learning models using fourfold cross-validation. The German cohort was used for external validation.</p> <p><strong>Results</strong>: Converting between the EPIC Urinary Irritative/Obstructive subscale and the IPSS using linear regressions resulted in mean absolute errors (MAEs) of 3.88 and 6.12, which is below the respective previously published minimal important differences (MIDs) of 5.2 and 10 points. Converting between the EPIC Urinary Summary and the IPSS was less accurate with MAEs of 5.13 and 10.45, similar to the MIDs. More complex model architectures did not result in improved performance in this study. The study was limited to the German versions of the respective questionnaires.</p> <p><strong>Conclusions</strong>: Linear regressions can be used to convert between the IPSS and the EPIC Urinary subscales. While the equations obtained in this study can be used to compare results across clinical trials, they should not be used to inform clinical decision-making in individual patients. Trial registration This study was retrospectively registered on clinicaltrials.gov on January 14th, 2022, under the registration number NCT05192876.</p>
Figure 5 in Composition and structure of plant communities in the Moist Temperate Forest Ecosystem of the Hindukush Mountains, Pakistan
Figure 5. CCA plot Analysis of illustrating the influence of elevation on spreading pattern of plant communities in Lalkoo valley Swat.
Figure 4 in Composition and structure of plant communities in the Moist Temperate Forest Ecosystem of the Hindukush Mountains, Pakistan
Figure 4. Results of CCA joint biplot showing results for eleven plant communities' correlation with environmental variable. BAB-I: Berberis- Abies- Bergenia; PIP-II: Picea-Indigofera- Poa; APP-III: Abies- Parrotiopsis- Poa,QVP-IV:Quercus-Viburnum-Poa,PSP-V:PiceaSalix-Primula,AVP-VI:Abies-Viburnum -Poa; VTP-VII: ViburnumTaxus-Poa; PVL-VIII: Pinus-Viburnum-Lithospermum; ABC-IX: Abies-Berberis-Carex; PVP-X: Pinus-Viburnum-Poa; and PPP-XI: Parrotiopsis-Picea-Poa represents community types.
Figure 2 in Fire effects on Atlantic Forest sites from a composition, structure and functional perspective
Figure 2. Average of species richness (A), basal area (B), Shannon index (C), tree density (D), CWM Height (E), CWM Leaf length (F), CWM wood density (G), CWM Leaf deciduousness (H), CWM dispersal mode (I), CWM shade tolerance (J) for tree species inventoried in burned and unburned sites in Paraíba do Sul river basin, Southeast Atlantic Forest biome, Brazil.Same letters represent no statistical difference.
Figure 8 in Investigation of roost composition of passerine birds in different environmental conditions
Figure 8. Roosts composition of birds recorded from the city road, Sheikhupura. S.E. = Standard Error.
Figure 3 in Investigation of roost composition of passerine birds in different environmental conditions
Figure 3. Roost composition of bird species from forest plantations, Gutwala wildlife sanctuary, Faisalabad. S.E. = Standard Error.
Fig 1 in Note on the nomenclature and generic composition of the Ichnestomina Burmeister, 1842 (Coleoptera: Scarabaeidae, Cetoniinae)
Fig 1 – Representative species of the Ichnestomina and of the genera Paraxeloma and Xeloma. A) Gariep patera ♂ (Gory & Percheron, 1833); B) Ichnestoma cuspidata ♂ (Fabricius, 1787); C) Karooida struempheri ♂ (Holm & Perissinotto, 2004); D) Mzansica stobbiai ♂ (Holm, 1992); E) Paraxeloma mashuna ♀ (Péringuey, 1907); F) Xeloma maura ♂ (Boheman, 1860). (Photos: A-D by Lynette Clennell; E, F by Gerhard Beinhundner).
Fig. 33. A in The herpetofauna of the Baja California Peninsula and its adjacent islands, Mexico: composition, distribution, and conservation status
Fig. 33. A Southwestern Pond Turtle (Actinemys pallida) trampled by cattle along Arroyo San Vicente, Baja California. Photo by Anny Peralta-García.
Fig. 18 in The herpetofauna of the Baja California Peninsula and its adjacent islands, Mexico: composition, distribution, and conservation status
Fig. 18. View of the shore of Isla Carmen located in the southern Gulf of California and protected within Parque Nacional Bahía de Loreto. This island is part of the Bahía de Loreto National Park. Photo by Bradford D. Hollingsworth.
Fig. 17 in The herpetofauna of the Baja California Peninsula and its adjacent islands, Mexico: composition, distribution, and conservation status
Fig. 17. Todos Santos Sur Island is almost entirely invaded by different species of dense grasses (e.g., Bromus and Avena) and ice plants, which displace the native vegetation. The invasion of introduced grasses and ice plants (Mesembryanthemum crystallinum) occurs throughout the peninsula. Photo by Jorge H. Valdez-Villavicencio.
Fig. 34 in The herpetofauna of the Baja California Peninsula and its adjacent islands, Mexico: composition, distribution, and conservation status
Fig. 34. Car and motorcycle tracks seen in the vicinity of turtle nesting sites at Punta Arena, north of Cabo Pulmo, Baja California Sur. These activities remain a common practice along these areas. Photo by Alan Harper.
Fig. 19 in The herpetofauna of the Baja California Peninsula and its adjacent islands, Mexico: composition, distribution, and conservation status
Fig. 19. View of Puerto Balandra, Isla Carmen, a small bay on the northwestern side of the island, representing the typical arid habitat found within the Gulf Island Region, and home to the single-region endemics Sauromalus slevini and Aspidoscelis carmenensis. Photo by Bradford D. Hollingsworth.
Fig. 24 in The herpetofauna of the Baja California Peninsula and its adjacent islands, Mexico: composition, distribution, and conservation status
Fig. 24. UPGMA generated dendrogram illustrating the similarity relationships of species richness among the herpetofaunal components in the 10 geographic regions of the Baja California Peninsula (based on the data in Table 6; Sokal and Michener 1958). Similarity values were calculated using Duellman's (1990) Coefficient of Biogeographic Resemblance (CBR).
Fig. 11 in The herpetofauna of the Baja California Peninsula and its adjacent islands, Mexico: composition, distribution, and conservation status
Fig. 11. View of the Madgalena Region at Los Burros, Baja California Sur. Photo by Bradford Hollingsworth.
Fig. 14 in The herpetofauna of the Baja California Peninsula and its adjacent islands, Mexico: composition, distribution, and conservation status
Fig. 14. Arid Tropical Region vegetation is evident along Transpeninsular Highway 1, south of La Paz between San Antonio and San Bartolo, Baja California Sur. Photo by Jorge H. Valdez-Villavicencio.
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.