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951 results for “places”
FIGURE 1 in The end of the long road: Iranian endemic Seseli elbursense (Apiaceae) has taken its place in the genus Semenovia
FIGURE 1. Representative specimen of Seseli elbursense (MW 0757074).
Linked collectors and determiners for: CardObs : Observations naturalistes issues de l'outil de saisie et gestion CardObs mis en place par le Service du Patrimoine Naturel (MNHN) / UMS PatriNat (OFB - CNRS - MNHN) - Données naturalistes de Benoit MARTHA.
Natural history specimen data linked to collectors and determiners held within, "CardObs : Observations naturalistes issues de l'outil de saisie et gestion CardObs mis en place par le Service du Patrimoine Naturel (MNHN) / UMS PatriNat (OFB - CNRS - MNHN) - Données naturalistes de Benoit MARTHA". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/818b61fe-8c37-4c49-83f8-fa710cfdbb81">https://bionomia.net/dataset/818b61fe-8c37-4c49-83f8-fa710cfdbb81</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/818b61fe-8c37-4c49-83f8-fa710cfdbb81">https://gbif.org/dataset/818b61fe-8c37-4c49-83f8-fa710cfdbb81</a>. Formatted as a Frictionless Data package.
Data from: Density-dependent, central-place foraging in a grazing herbivore: competition and trade-offs in time allocation near water
Optimal foraging theory addresses one of the core challenges of ecology: predicting the distribution and abundance of species. Tests of hypotheses of optimal foraging, however, often focus on a single conceptual model rather than drawing upon the collective body of theory, precluding generalization. Here we demonstrate links between two established theoretical frameworks predicting animal movements and resource use: central-place foraging and density-dependent habitat selection. Our goal is to better understand how the nature of critical, centrally placed resources like water (or minerals, breathing holes, breeding sites, etc.) might govern selection for food (energy) resources obtained elsewhere – a common situation for animals living in natural conditions. We empirically test our predictions using movement data from a large herbivore distributed along a gradient of water availability (feral horses, Sable Island, Canada, 2008–2013). Horses occupying western Sable Island obtain freshwater at ponds while in the east horses must drink at self-excavated wells (holes). We studied the implications of differential access to water (time needed for a horse to obtain water) on selection for vegetation associations. Consistent with predictions of density-dependent habitat selection, horses were reduced to using poorer-quality habitat (heathland) more than expected close to water (where densities were relatively high), but were free to select for higher-quality grasslands farther from water. Importantly, central-place foraging was clearly influenced by the type of water-source used (ponds vs. holes, the latter with greater time constraints on access). Horses with more freedom to travel (those using ponds) selected for grasslands at greater distances and continued to select grasslands at higher densities, whereas horses using water holes showed very strong density-dependence in how habitat could be selected. Knowledge of more than one theoretical framework may be required to explain observed variation in foraging behavior of animals where multiple constraints simultaneously influence resource selection.
Data from: A congruent phylogenomic signal places eukaryotes within the Archaea.
Determining the relationships among the major groups of cellular life is important for understanding the evolution of biological diversity, but is difficult given the enormous time spans involved. In the textbook 'three domains' tree based on informational genes, eukaryotes and Archaea share a common ancestor to the exclusion of Bacteria. However, some phylogenetic analyses of the same data have placed eukaryotes within the Archaea, as the nearest relatives of different archaeal lineages. We compared the support for these competing hypotheses using sophisticated phylogenetic methods and an improved sampling of archaeal biodiversity. We also employed both new and existing tests of phylogenetic congruence to explore the level of uncertainty and conflict in the data. Our analyses suggested that much of the observed incongruence is weakly supported or associated with poorly fitting evolutionary models. All of our phylogenetic analyses, whether on small subunit and large subunit ribosomal RNA or concatenated protein-coding genes, recovered a monophyletic group containing eukaryotes and the TACK archaeal superphylum comprising the Thaumarchaeota, Aigarchaeota, Crenarchaeota and Korarchaeota. Hence, while our results provide no support for the iconic three-domain tree of life, they are consistent with an extended eocyte hypothesis whereby vital components of the eukaryotic nuclear lineage originated from within the archaeal radiation.
Data from: Impaired hippocampal place cell dynamics in a mouse model of the 22q11.2 deletion
Hippocampal place cells represent the cellular substrate of episodic memory. Place cell ensembles reorganize to support learning but must also maintain stable representations to facilitate memory recall. Despite extensive research, the learning-related role of place cell dynamics in health and disease remains elusive. Using chronic two-photon Ca2+ imaging in hippocampal area CA1 of wild-type and Df(16)A+/− mice, an animal model of 22q11.2 deletion syndrome, one of the most common genetic risk factors for cognitive dysfunction and schizophrenia, we found that goal-oriented learning in wild-type mice was supported by stable spatial maps and robust remapping of place fields toward the goal location. Df(16)A+/− mice showed a significant learning deficit accompanied by reduced spatial map stability and the absence of goal-directed place cell reorganization. These results expand our understanding of the hippocampal ensemble dynamics supporting cognitive flexibility and demonstrate their importance in a model of 22q11.2-associated cognitive dysfunction.
Figs 1–8 in A new Afrotropical species of Microdontinae, provisionally placed in Paramixogaster (Diptera: Syrphidae)
Figs 1–8. Paramixogaster trifasciatus sp. nov. 1–3 – male holotype: 1 – dorsal view; 2 – lateral view; 3 – frontal view. 4–7 – female paratype: 4 – dorsal view; 5 – lateral view; 6 – frontal view; 7 – ventral view with metacoxal bridge. 8 – male holotype labels.
Figs. 1–2. Archicorynus kuscheli, male. 1 in Finding Unexpected Beetles in Odd Places:Archicorynus kuscheliAnderson and Marvaldi, a New Genus and Species Representing a New Tribe, Archicorynini, of Oxycoryninae (Coleoptera: Belidae) from Nicaragua
Figs. 1–2. Archicorynus kuscheli, male. 1) Dorsal habitus; 2) Lateral habitus.
Figs. 3–4. Archicorynus kuscheli, female. 3 in Finding Unexpected Beetles in Odd Places:Archicorynus kuscheliAnderson and Marvaldi, a New Genus and Species Representing a New Tribe, Archicorynini, of Oxycoryninae (Coleoptera: Belidae) from Nicaragua
Figs. 3–4. Archicorynus kuscheli, female. 3) Ventral view; 4) Legs: A) Front, B) Middle, C) Hind.
FIGURE 4 in Systematic revision of the genera Geckobiella Hirst, 1917 and Hirstiella Berlese, 1920 (Acari: Prostigmata: Pterygosomatidae) with description of a new genus for American species parasites on geckos formerly placed in Hirstiella
FIGURE 4. Geckobiella donnae sp. nov., female, legs I–IV (trochanters-tarsi). Scale bars 50 µm.
Figure 3 from: McKeown M, Sundue M, Barrington D (2012) Phylogenetic analyses place the Australian monotypic Revwattsia in Dryopteris (Dryopteridaceae). PhytoKeys 14: 43-56. https://doi.org/10.3897/phytokeys.14.3446
Figure 3 - Strict consensus of 10,000 most parsimonious trees. Values indicate bootstrap support of 1000 pseudoreplicates. Arrow indicates position of Revwattsia fragilis.
Figure 2 from: McKeown M, Sundue M, Barrington D (2012) Phylogenetic analyses place the Australian monotypic Revwattsia in Dryopteris (Dryopteridaceae). PhytoKeys 14: 43-56. https://doi.org/10.3897/phytokeys.14.3446
Figure 2 - The 50% majority rule tree resulting from Bayesian analysis. Values indicate posterior probabilities, scale bar indicates 0.04 substitutions per site. Arrow indicates position of Revwattsia fragilis.
Figure 1 from: McKeown M, Sundue M, Barrington D (2012) Phylogenetic analyses place the Australian monotypic Revwattsia in Dryopteris (Dryopteridaceae). PhytoKeys 14: 43-56. https://doi.org/10.3897/phytokeys.14.3446
Figure 1 - Revwattsia fragilis. A habit B Rhizome in cross section C Abaxial rachis and costa D Adaxial rachis and costa (M Kessler, M Sundue and M Lehnert 14293).
Figures and data associated with the article: Rendaku in place names across Japanese dialects
<p>The rendaku morphophonological alternation between voiceless and voiced obstruents in compounds is largely irregular, but it is observed in all Japanese dialects. However, whether dialectal differences in frequencyof rendaku exist has never been investigated. As a first step toward elucidating dialectal differences in the occurrence of rendaku, we examined the rendaku rate of six morphemes in place names from all Japan. The results of our exploratory study indicate that there is no clear geographical pattern in the differences in rendaku frequency, and that it varies between morphemes.</p> <p>The rendaku rate for each region was plotted on a map of Japan with a gradient color. A lighter color indicates a higher rate of rendaku, and a darker color a lower one. White color indicates the absence of data, i.e. no place name containing the morpheme under study was found in the prefecture.</p>
Quality of CAD-CAM inlays placed on aged resin-based composite restorations used as deep margin elevation
<p>This file comprises the dataset generated and analyzed in an investigation assessing the impact of the age of resin-based composite restorations used as deep margin elevation on the marginal quality and fracture behavior of CAD-CAM inlays</p>
Supplementary material 1 from: Nations JA, Giarla TC, Morni MA, William Dee J, Swanson MT, Hiller AE, Khan FAA, Esselstyn JA (2022) Molecular data from the holotype of the enigmatic Bornean Black Shrew, Suncus ater Medway, 1965 (Soricidae, Crocidurinae), place it in the genus Palawanosorex. ZooKeys 1137: 17-31. https://doi.org/10.3897/zookeys.1137.94217
GenBank Accession numbers for genetic sequences used in this study
Supplementary material 3 from: Nations JA, Giarla TC, Morni MA, William Dee J, Swanson MT, Hiller AE, Khan FAA, Esselstyn JA (2022) Molecular data from the holotype of the enigmatic Bornean Black Shrew, Suncus ater Medway, 1965 (Soricidae, Crocidurinae), place it in the genus Palawanosorex. ZooKeys 1137: 17-31. https://doi.org/10.3897/zookeys.1137.94217
Maximum-likelihood crocidurine mitochondrial gene tree, without CYTB, inferred in IQTree
Supplementary material 2 from: Nations JA, Giarla TC, Morni MA, William Dee J, Swanson MT, Hiller AE, Khan FAA, Esselstyn JA (2022) Molecular data from the holotype of the enigmatic Bornean Black Shrew, Suncus ater Medway, 1965 (Soricidae, Crocidurinae), place it in the genus Palawanosorex. ZooKeys 1137: 17-31. https://doi.org/10.3897/zookeys.1137.94217
Best-fitting nucleotide substitution model for each gene in the mitochondrial DNA analysis
Data for: Number of cards to infer rule for placing cards into piles
<p>Nearly sixty years ago, in a publication with a growing rate of citation ever since, JR Platt presented "strong inference" (SI) as an accumulative method of inductive inference to produce much more rapid progress than others. The article offered persuasive testimony for the use of multiple working hypotheses combined with disconfirmation. It is often cited as an exemplar of scientific practice. However, the article provides no evidence of greater efficacy. Over a 34 year period a total 780 matched trials were completed in 56 labs in a university course in statistical science. The reduction from random (18.9 cards) to selected cards was 7.2 cards, compared to a further reduction of 0.3 cards from selected to SI. In 46% of the 780 trials, the number of cards to infer a rule was greater for strong inference than for a less rigid experimental method. Based on the evidence, strong inference added little additional strength beyond that of less rigidly structured experiments.</p>
Contextual power vs. place attachment
<p>This study focuses on investigating pro-environmental behavior in the context of tourism, and therefore, the target population consists of individuals who have participated in tourism activities. A questionnaire survey was employed as the research method, and data was collected through online electronic surveys and other means. The survey was conducted from May 1, 2023, to June 1, 2023, and a total of 400 questionnaires were collected. After eliminating invalid responses, a total of 355 valid questionnaires were included in the analysis.</p>
Peri-implant Marginal Bone and Soft Tissue Conditions Around Single Laser-Lok Implants Placed in Regenerated Extraction Sockets and in Native Bone: A 2-years Results of RCT
ClinicalTrials.gov study NCT03686865. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
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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.