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5,145 results for “CO₂”
Original 3D ED datasets of Co DHG and the integrated merged dataset used for structure determination with molecular replacement.
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Raw data of I-V curves for Co 2ML insertion in P state.zip
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Reactivity of graphene-supported Co clusters
<p>Raw data, meta data and corresponding list of figures are included.</p>
Figures 5, 6, 7 of Perpendicularly magnetized Co_Pd-based magneto-resistive hetereostructures on flexible substrates
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Co-surfactant roles of amino acids at oil-water interface: application in low-pH emulsions to regulate physical and oxidative stabilities
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SPARCS_WP3_Espoo_City_SPARCS-WP3 other stakeholders contributed in co-created solutions in Espoo
<p>Number of other stakeholders contributing in co-created solutions during SPARCS Work Package 3 (WP3) actions</p>
SPARCS-WP3_Espoo_City_Co-creation model website visitors (monthly)
<p>The number of unique monthly visitors to the Espoo's SPARCS Co-creation model website (www.co-creatingsparcs.fi).</p>
Functionally Important Residues from Graph Analysis of Co-evolved Dynamical Couplings
<p>This dataset contains input files and trajectories for class A β-lactamase SHV-1.</p>
[DATA] The co-evolution of direct, indirect and generalized reciprocity
<p>The data for the project <em>"The Co-evolution of Direct, Indirect, and Generalized Reciprocity"</em> were generated through simulation code that models evolutionary processes. These data can be used to create all the figures in the manuscript.</p> <p>The code for the evolutionary simulations as well as the analysis code are available on GitHub. The repository can be found here: https://github.com/Saptarshi07/Direct-Indirect-Generalized-Reciprocity/.</p> <div> </div>
Supported Binuclear Gold Phosphine Complexes as CO Oxidation Catalysts: Insights into the Formation of Surface-Stabilized Au Particles
<p>Data concerning the manuscript "Supported Binuclear Gold Phosphine Complexes as CO Oxidation Catalysts: Insights into the Formation of Surface-Stabilized Au Particles", published in Small Science 2024 (DOI: <a href="https://doi.org/10.1002/smsc.202400345">10.1002/smsc.202400345</a>), data sets includes analytical data (XAS, IR, PXRD, BET, ICP-OEC) and catalytic data</p>
Data from: Co-feeding intra- and interspecific transmission of an emerging insect-borne rickettsial pathogen
Cat fleas (Ctenocephalides felis) are known as the primary vector and reservoir of Rickettsia felis, the causative agent of flea-borne spotted fever; however, field surveys regularly report molecular detection of this infectious agent from other blood-feeding arthropods. The presence of R. felis in additional arthropods may be the result of chance consumption of an infectious bloodmeal, but isolation of viable rickettsiae circulating in the blood of suspected vertebrate reservoirs has not been demonstrated. Successful transmission of pathogens between actively blood-feeding arthropods in the absence of a disseminated vertebrate infection has been verified, referred to as cofeeding transmission. Therefore, the principal route from systemically infected vertebrates to uninfected arthropods may not be applicable to the R. felis transmission cycle. Here, we show both intra- and interspecific transmission of R. felis between cofeeding arthropods on a vertebrate host. Analyses revealed that infected cat fleas transmitted R. felis to naïve cat fleas and rat fleas (Xenopsylla cheopis) via fleabite on a nonrickettsemic vertebrate host. Also, cat fleas infected by cofeeding were infectious to newly emerged uninfected cat fleas in an artificial system. Furthermore, we utilized a stochastic model to demonstrate that cofeeding is sufficient to explain the enzootic spread of R. felis amongst populations of the biological vector. Our results implicate cat fleas in the spread of R. felis amongst different vectors, and the demonstration of cofeeding transmission of R. felis through a vertebrate host represents a novel transmission paradigm for insect-borne Rickettsia and furthers our understanding of this emerging rickettsiosis.
Data from: An automated approach to identifying search terms for systematic reviews using keyword co-occurrence networks
1. Systematic review, meta-analysis, and other forms of evidence synthesis are critical to strengthen the evidence base concerning conservation issues and to answer ecological and evolutionary questions. Synthesis lags behind the pace of scientific publishing, however, due to time and resource costs which partial automation of evidence synthesis tasks could reduce. Additionally, current methods of retrieving evidence for synthesis are susceptible to bias towards studies with which researchers are familiar. In fields that lack standardized terminology encoded in an ontology, including ecology and evolution, research teams can unintentionally exclude articles from the review by omitting synonymous phrases in their search terms. 2. To combat these problems, we developed a quick, objective, reproducible method for generating search strategies that uses text mining and keyword co-occurrence networks to identify the most important terms for a review. The method reduces bias in search strategy development because it does not rely on a predetermined set of articles and can improve search recall by identifying synonymous terms that research teams might otherwise omit. 3. When tested against the search strategies used in published environmental systematic reviews, our method performs as well as the published searches and retrieves gold-standard hits that replicated versions of the original searches do not. Because the method is quasi-automated, the amount of time required to develop a search strategy, conduct searches, and assemble results is reduced from approximately 17-34 hours to under 2 hours. 4. To facilitate use of the method for environmental evidence synthesis, we implemented the method in the R package litsearchr, which also contains a suite of functions to improve efficiency of systematic reviews by automatically deduplicating and assembling results from separate databases.
Figure 3 from: Tsafack N, Wang X, Xie Y, Fattorini S (2021) Niche overlap and species co-occurrence patterns in carabid communities of the northern Chinese steppes. In: Spence J, Casale A, Assmann T, Liebherr JК, Penev L (Eds) Systematic Zoology and Biodiversity Science: A tribute to Terry Erwin (1940-2020). ZooKeys 1044: 929-949. https://doi.org/10.3897/zookeys.1044.62478
Figure 3 Histograms of expected values (blue bars) for species co-occurrence (c-scores) in carabid beetle communities of Central Asian steppes using the fixed-fixed algorithm to generate 10,000 null matrices. Investigated ecosystems were a desert steppe (a), a typical steppe (b), a meadow steppe (c), three sectors within the typical steppe (d–f), and two sectors within the meadow steppe (g, h). In each graph, the vertical red line indicates the observed value, long-dash lines indicate the one-tailed 95% limits, and the short-dash lines the two-tailed 95% limits.
Figure 2 from: Tsafack N, Wang X, Xie Y, Fattorini S (2021) Niche overlap and species co-occurrence patterns in carabid communities of the northern Chinese steppes. In: Spence J, Casale A, Assmann T, Liebherr JК, Penev L (Eds) Systematic Zoology and Biodiversity Science: A tribute to Terry Erwin (1940-2020). ZooKeys 1044: 929-949. https://doi.org/10.3897/zookeys.1044.62478
Figure 2 Histograms of expected values (blue bars) for niche overlap in carabid beetle communities of Central Asian steppes using the RA2 algorithm to generate 10,000 null matrices. Investigated ecosystems were a desert steppe (a), a typical steppe (b), a meadow steppe (c), three sectors within the typical steppe (d–f), and two sectors within the meadow steppe (g, h). In each graph, the vertical red line indicates the observed value, long-dash lines indicate the one-tailed 95% limits, and the short-dash lines the two-tailed 95% limits.
Figure 1 from: Tsafack N, Wang X, Xie Y, Fattorini S (2021) Niche overlap and species co-occurrence patterns in carabid communities of the northern Chinese steppes. In: Spence J, Casale A, Assmann T, Liebherr JК, Penev L (Eds) Systematic Zoology and Biodiversity Science: A tribute to Terry Erwin (1940-2020). ZooKeys 1044: 929-949. https://doi.org/10.3897/zookeys.1044.62478
Figure 1 Histograms of expected values (blue bars) for niche overlap in carabid beetle communities of Central Asian steppes using the RA3 algorithm to generate 10,000 null matrices. Investigated ecosystems were a desert steppe (a), a typical steppe (b), a meadow steppe (c), three sectors within the typical steppe (d–f), and two sectors within the meadow steppe (g, h). In each graph, the vertical red line indicates the observed value, long-dash lines indicate the one-tailed 95% limits, and the short-dash lines the two-tailed 95% limits.
Data from: The consequences of co-infections for parasite transmission in the mosquito Aedes aegypti
1)Co-infections may modify parasite transmission opportunities directly as a consequence of interactions in the within host environment, but also indirectly through changes in host life-history. Furthermore, host and parasite traits are sensitive to the abiotic environment with variable consequences for parasite transmission in co-infections. (2)We investigate how co-infection of the mosquito Aedes aegypti with two microsporidian parasites (Vavraia culicis and Edhazardia aedis) at two levels of larval food availability affects parasite transmission directly, and indirectly through effects on host traits (3)In a laboratory infection experiment we compared how co-infection, at low and high larval food availability, affected the probability of infection, within-host growth and the transmission potential of each parasite, compared to single infections. Horizontal transmission was deemed possible for both parasites when infected hosts died harbouring horizontally-transmitting spores. Vertical transmission was judged possible for E. aedis when infected females emerged as adults. We also compared the total input number of spores used to seed infections with output number, in single and co-infections for each parasite. (4)The effects of co-infection on parasite fitness were complex, especially for V. culicis. In low larval food conditions, co-infection increased the chances of mosquitoes dying as larvae or pupae, thus increasing opportunities for V. culicis' horizontal transmission. However, co-infection reduced larval longevity and hence time available for V. culicis spore production. Overall there was a negative net effect of co-infection on V. culicis whereby the number of spores produced was less than the number used to seed infection. Co-infections also negatively affected horizontal transmission of the more virulent parasite, E. aedis, through reduced longevity of pre-adult hosts. However, its potential transmission suffered less relative to V. culicis. (5)Our results show that co-infection can negatively affect parasite transmission opportunities, both directly as well as indirectly via effects on host life-history. We also find that transmission is contingent on the combined effect of the abiotic environment.
Data from: Gene duplication and co-evolution of G1/S transcription factors specificity in fungi are essential for optimizing cell fitness
Transcriptional regulatory networks play a central role in optimizing cell survival. How DNA binding domains and cis-regulatory DNA binding sequences have co-evolved to allow the expansion of transcriptional networks and how this contributes to cellular fitness remains unclear. Here we experimentally explore how the complex G1/S transcriptional network evolved in the budding yeast Saccharomyces cerevisiae by examining different chimeric transcription factor (TF) complexes. Over 300 G1/S genes are regulated by either one of the two TF complexes, SBF and MBF, which bind to specific DNA binding sequences, SCB and MCB, respectively. Our data suggests that whilst SBF is the likely ancestral regulatory complex, the ancestral DNA binding element is more MCB-like. G1/S network expansion took place by both cis- and trans- co-evolutionary changes in closely related but distinct regulatory sequences. Replacement of the endogenous SBF DNA-binding domain (DBD) with that from more distantly related fungi leads to a contraction of the G1/S network in budding yeast, which also correlates with increased defects in cell growth, cell size, and proliferation. This indicates that expansion of the G1/S network in budding yeast may represent an evolutionary product of selection for cell cycle fitness.
Species co-occurrence shapes spatial variability in plant diversity–biomass relationships in natural rangelands under different grazing intensities
<p>Grazing can alter plant species interactions in natural rangelands, which in turn might influence the productivity of the ecosystem but we do not fully understand how spatial variability in plant diversity-biomass relationships are modulated by grazing intensity. Here, we hypothesized that plant species co-occurrence in rangelands is mainly driven by niche segregation due to grazing and heterogeneity in local resources, and that grazing therefore modulates diversity–biomass relationships.<b> </b>We tested our hypothesis across 35 rangeland sites in Iran, using a species co-occurrence index to assess plant spatial aggregation within each site. At each site, we measured aboveground biomass, plant diversity, topography, soil nutrients and three levels of grazing intensity. High spatial segregation of plant communities (low species co-occurrence) was found at heavily grazed sites, whereas greater spatial aggregation (high species co-occurrence) was found on low and moderate grazed sites, showing varied associational patterns of species with grazing intensity. Soil nutrients increased with grazing intensity and spatial segregation of plant communities was greater at sites with high soil nutrient concentrations, indicating that grazing intensity influences the spatial heterogeneity of plant communities via nutrients deposited in urine and faeces. Declining plant biomass with grazing intensity was related to a strong decline in graminoid species diversity, which suggests that the diversity-biomass relationship is influenced by selective grazing of palatable species. The relationships between species co-occurrence and biomass or plant diversity suggest non-random patterns in species co-occurrences with grazing intensity, which could be the result of competition driven by high livestock grazing intensity. We therefore suggest that rangeland stocking rates should be managed properly to maintain rangeland production while promoting plant diversity.</p>
Data from: Separation of realized ecological niche axes among sympatric tilefishes provides insight into potential drivers of co‐occurrence in the NW Atlantic
<p class="Default">Golden and Blueline Tilefish (<i>Lopholatilus chamaeleonticeps</i> and <i>Caulolatilus microps</i>) are keystone taxa in northwest (NW) Atlantic continental shelf‐edge environments due to their biotic (trophic‐mediated) and abiotic (ecosystem engineering) functional roles combined with high‐value fisheries. Despite this importance, the ecological niche dynamics (i.e., those relating to trophic behavior and food‐web interactions) of these sympatric species are poorly understood, knowledge of which may be consequential for maintaining both ecosystem function and fishery sustainability. We used stable isotope ratios of carbon (δ<sup>13</sup>C) and nitrogen (δ<sup>15</sup>N) to build realized ecological niche hypervolumes to serve as proxies for diet and production use patterns of <i>L</i>. <i>chamaeleonticeps</i> and <i>C. microps</i>. We hypothesized that: (a) species exhibit ontogenetic shifts in diet and use of production sources; (b) species acquire energy from spatially distinct resource pools that reflect a sedentary life‐history and differential use of the continental shelf‐edge; and (c) species exhibit differentiation in one or more measured niche axes. We found evidence for ontogenetic shifts in diet (δ<sup>15</sup>N) but not production source (δ<sup>13</sup>C) in both species, suggesting a subtle expansion of measured ecological niche axes. Spatial interpolation of stable isotope ratios showed distinct latitudinal gradients; for example, individuals were <sup>13</sup>C enriched in northern and <sup>15</sup>N enriched in southern regions, supporting the assertion that tilefish species acquire energy from regional resource pools. High isotopic overlap was observed among species (≥82%); however, when hypervolumes included depth and region of capture, overlap among species substantially decreased to overlap estimates of 15%–77%. This suggests that spatial segregation could alleviate potential competition for resources among tilefish species inhabiting continental shelf‐edge environments. Importantly, our results question the consensus interpretation of isotopic overlap estimates as representative of direct competition among species for shared resources or habitats, instead of identifying habitat segregation as a possible mechanism for the coexistence of tilefish species in the NW Atlantic.</p>
Fig 5 from: Ngoute CO, Hunter D, Lecoq M (2021) Perception and knowledge of grasshoppers among indigenous communities in tropical forest areas of southern Cameroon: Ecosystem conservation, food security, and health. Journal of Orthoptera Research 30(2): 117-130. https://doi.org/10.3897/jor.30.64266
Fig 5 Efficiency of the methods used to control pest grasshoppers: conventional methods (A) and traditional methods (B).
ScienceDex guides
Understand access before you commit
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.