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19,493 results for “Populism”
Density of states and Crystal Orbital Hamilton Population Analysis of CO adsorbed on Co
<p>This dataset pertains to an extensive study of the electronic structure of CO adsorbed on various active site topologies on cobalt. The following cobalt active site configurations were explored:</p> <ul> <li>Co(0001) (fcc)</li> <li>Co(0001) (hcp)</li> <li>Co(11-21) 3f</li> <li>Co(11-21) B5</li> <li>Co(100)</li> <li>Co(110)</li> <li>Co55/Al2O3 (top)</li> <li>Co55/Al2O3 (interfacial site)</li> <li>Co52/Al2O3 (defect site)</li> <li>Co84/Al2O3 (nanorod)</li> <li>Co54/TiO2 (cluster)</li> <li>Co81/TiO2 (nanorod)</li> </ul> <p>For each adsorption site, a density of states and crystal orbital hamilton population analysis was performed by means of the <a href="http://www.cohp.de/">Lobster</a> program. The original electronic structure calculations are performed using <a href="https://www.vasp.at/">VASP</a>. The input and output files for all calculations as well as the Python scripts how these files were parsed are found in this repository.</p>
Data from: strawberry guava invasion of a Hawaiian rainforest: changing population pattern
<p>Strawberry guava (waiawī, <em>Psidium cattleyanum</em> O. Deg., Myrtaceae) is a small tree invasive on oceanic islands where it may alter forest ecosystem processes and community structure. To better understand the dynamics of its invasion in Hawaiian rainforests in anticipation of the release of a biocontrol agent, we measured growth and abundance of vertical stems >= 0.5 cm DBH for 16 years (2005-2020) in an intact <em>Metrosideros-Cibotium</em> rainforest on windward Hawai'i Island. Specifically, we compared the growth and abundance of both shoots (originating from seed or from the root mat) and sprouts (originating above ground from established stems) in four replicate study sites. Mean stem density increased from 9562 stems/ha in 2005 to 26,595 stems/ha in 2020, the majority of which were stems < 2 cm DBH. Mean annual rates of population growth (lambda) varied between 1.03 and 1.17. Early in the invasion, both density and per capita recruitment of shoots was greater than that of sprouts, but as overall stem density increased over time, sprout abundance and recruitment came to surpass that of shoots. Relative growth rates among small stems < 2 cm DBH declined over time for both shoots and sprouts, but relative growth rates of sprouts were consistently greater than that of shoots after the first 3 years. The capacity of strawberry guava to recruit from both rooted shoots and vegetative sprouts contributes to the facility with which it can invade intact rainforest, persist in the forest understory, and respond to canopy opening. Strawberry guava thus poses a considerable risk of stand replacement for Hawaiian rainforests. Stand management will require perpetual efforts of guava control at high priority sites as extreme weather events associated with climate change bring canopy-opening events due to storms, drought and pathogens.</p>
Figure 4 in Population biology of the fiddler crab Uca maracoani (Crustacea, Ocypodidae) inhabiting an impacted mangrove area on the southern coast of São Paulo state, Brazil
Figure 4. Frequency of juveniles (%) of Uca maracoani by month.
Fecal standing crop with real time correction using scat detection dogs to estimate population density
<p>Population density is fundamental information for assessing the conservation status of species and support management and conservation actions for in situ populations, but is unknown for many forest species due to their difficulty in detection. The Fecal Standing Crop (FSC) method using detection dogs is an alternative for cryptic or elusive species. An intrinsic difficulty of FSC is the ability to find fecal samples in the field and to estimate the probability of which feces detection is influenced by degradation due to climatic conditions. Our goal was to propose a concurrent FSC parameter estimation using a scat detection dog under different climatic conditions and apply those parameters in a wild deer population. Ten fecal samples of gray brocket deer (Subulo gouazoubira) were placed weekly in a transect (24 x 1200 m) in both dry and wet seasons (12 weeks each). A scat detection dog was then employed to find experimental fecal samples to determine the FSC parameters that were subsequently used with naturally occurring fecal samples (also dog-detected) to estimate population density. The oldest dog found samples were 21 (Dry) and seven (Wet) days after placement, resulting in dog efficiency of 23% (Dry) and 30% (Wet). Adjusting the model to account for efficiency and scat durability, we estimated similar, seasonal, densities of 4.54 individuals km-2 (SD = 2.21, Dry) and 5.52 indiv. km-2 (SD = 3.71, Wet).</p> <p><em>Synthesis and applications:</em> Our results demonstrate that our concurrent methodology corrected the effects of weather and habitat on FSC parameters thereby allowing for accurate population density estimation. Additionally, this method can provide reasonably precise density estimates with a logistically feasible sample size, as demonstrated by simulation. Following our recommendations, this method allows a reliable estimate of population density because it incorporates any influence of study area, dog ability, and climate in fecal sample detection, providing fundamental information for the conservation of many cryptic and elusive species.</p>
Population genomics of flat-tailed horned lizards (Phrynosoma mcallii) informs conservation and management across a fragmented Colorado Desert landscape
<p><em>Phrynosoma mcallii</em> (flat-tailed horned lizards) is a species of conservation concern in the Colorado Desert of the United States and Mexico. We analyzed ddRADseq data from 45 lizards to estimate population structure, infer phylogeny, identify migration barriers, map genetic diversity hotspots, and model demography. We identified the Colorado River as the main geographic feature contributing to population structure, with the populations west of this barrier further subdivided by the Salton Sea. Phylogenetic analysis confirms that northwestern populations are nested within southeastern populations. The best-fit demographic model indicates Pleistocene divergence across the Colorado River, with significant bidirectional gene flow, and a severe Holocene population bottleneck. These patterns suggest that management strategies should focus on maintaining genetic diversity on both sides of the Colorado River and Salton Sea. We recommend additional lands in the U.S. and Mexico that should be considered for similar conservation goals as those in the Rangewide Management Strategy (RMS). We also recommend periodic rangewide genomic sampling to monitor ongoing attrition of diversity, hybridization, and changing structure due to habitat fragmentation, climate change and other long-term impacts.</p>
Fig. 1 in Helminth communities of two populations of Myotis chiloensis (Chiroptera: Vespertilionidae) from Argentinean Patagonia
Fig. 1. Location of the sampling sites in the province of Río Negro, Argentina.
Azole resistance mechanisms and population structure of Aspergillus fumigatus on retail plant products
<p><em>Aspergillus fumigatus </em>is a ubiquitous saprotroph and human-pathogenic fungus that is life-threatening to the immunocompromised. Triazole-resistant <em>A. fumigatus</em><em> </em>was found in patients without prior treatment with azoles, leading researchers to conclude that resistance had developed in agricultural environments where azoles are used against plant pathogens. Previous studies have documented azole-resistant <em>A. fumigatus </em>across agricultural environments, but few have looked at retail plant products. Our objectives were to determine if azole-resistant <em>A. fumigatus </em>is prevalent<em> </em>in retail plant products produced in the United States (U.S.), as well as to identify the resistance mechanism(s) and population genetic structure of these isolates. Five hundred twenty-five isolates were collected from retail plant products and screened for azole resistance. Twenty-four isolates collected from compost, soil, flower bulbs, and raw peanuts were pan-azole resistant. Resistant isolates had the TR<sub>34</sub>/L98H, TR<sub>46</sub>/Y121F/T289A, G448S, and H147Y <em>cyp51A </em>alleles, all known to underly pan-azole resistance, as well as WT alleles, suggesting that non-cyp51A-mechanisms contribute to pan-azole resistance in some isolates. Minimum spanning networks showed two lineages containing isolates with TR alleles or the F46Y/M172V/E427K allele, and discriminant analysis of principle components (DAPC) identified three primary clusters. This is consistent with previous studies detecting three clades of <em>A. fumigatus</em> and identifying pan-azole-resistant isolates with TR alleles in a single clade. We found pan-azole resistance in U.S. retail plant products, particularly compost and flower bulbs, which indicates the risk of exposure to these products for susceptible populations and that highly resistant isolates are likely distributed worldwide on these products.</p>
Figure 27 in Population ecology of Ctenolepisma (C.) udumalpetense (Insecta: Zygentoma: Lepismatidae) in a deciduous forest floor of the Trimurti Dam, Tamil Nadu, India
Figure 27. Regression of pH on C. (C.) udumalpetense population in third row.
Figure 25 in Population ecology of Ctenolepisma (C.) udumalpetense (Insecta: Zygentoma: Lepismatidae) in a deciduous forest floor of the Trimurti Dam, Tamil Nadu, India
Figure 25. Regression of Humidity on C. (C.) udumalpetense population in second row.
Figure 19 in Population ecology of Ctenolepisma (C.) udumalpetense (Insecta: Zygentoma: Lepismatidae) in a deciduous forest floor of the Trimurti Dam, Tamil Nadu, India
Figure 19. Regression of pH on C. (C.) udumalpetense population in first row.
Figure 18 in Population ecology of Ctenolepisma (C.) udumalpetense (Insecta: Zygentoma: Lepismatidae) in a deciduous forest floor of the Trimurti Dam, Tamil Nadu, India
Figure 18. Monthly fluctuations of total population and N(%) in Rows I, II and III.
Figure 30 in Population ecology of Ctenolepisma (C.) udumalpetense (Insecta: Zygentoma: Lepismatidae) in a deciduous forest floor of the Trimurti Dam, Tamil Nadu, India
Figure 30. Regression of N (%) on C. (C.) udumalpetense population in third row.
Figure 3 in Population ecology of Ctenolepisma (C.) udumalpetense (Insecta: Zygentoma: Lepismatidae) in a deciduous forest floor of the Trimurti Dam, Tamil Nadu, India
Figure 3. Showing the layout of the Sampling sites) Each sample unit (NWSE) represents 1m2).
Figure 24 in Population ecology of Ctenolepisma (C.) udumalpetense (Insecta: Zygentoma: Lepismatidae) in a deciduous forest floor of the Trimurti Dam, Tamil Nadu, India
Figure 24. Regression of temperature on C. (C.) udumalpetense population in second row.
Figure 1 in Population ecology of Ctenolepisma (C.) udumalpetense (Insecta: Zygentoma: Lepismatidae) in a deciduous forest floor of the Trimurti Dam, Tamil Nadu, India
Figure 1. Showing forest floor of the Trimurti Dam, Tamil Nadu.
Figure 17 in Population ecology of Ctenolepisma (C.) udumalpetense (Insecta: Zygentoma: Lepismatidae) in a deciduous forest floor of the Trimurti Dam, Tamil Nadu, India
Figure 17. Showing the monthly fluctuations of total population and pH in Rows I, II and III.
Figure 2 in Population ecology of Ctenolepisma (C.) udumalpetense (Insecta: Zygentoma: Lepismatidae) in a deciduous forest floor of the Trimurti Dam, Tamil Nadu, India
Figure 2. Showing location of the study area (forest floor of the Trimurti Dam, Tamil Nadu).
Figure 23 in Population ecology of Ctenolepisma (C.) udumalpetense (Insecta: Zygentoma: Lepismatidae) in a deciduous forest floor of the Trimurti Dam, Tamil Nadu, India
Figure 23. Regression of pH on C. (C.) udumalpetense population in second row.
Figure 26 in Population ecology of Ctenolepisma (C.) udumalpetense (Insecta: Zygentoma: Lepismatidae) in a deciduous forest floor of the Trimurti Dam, Tamil Nadu, India
Figure 26. Regression of N (%) on C. (C.) udumalpetense population in second row.
Figure 29 in Population ecology of Ctenolepisma (C.) udumalpetense (Insecta: Zygentoma: Lepismatidae) in a deciduous forest floor of the Trimurti Dam, Tamil Nadu, India
Figure 29. Regression of humidity on C. (C.) udumalpetense population in third row.
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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.