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5,145 results for “CO₂”
Supplementary data: co-modulated auditory steady-state responses
<p><strong>Supplementary data: co-modulated auditory steady-state responses</strong></p> <p><em>Original publication:</em></p> <p>Guérit, F., Marozeau, J. and Epp, B (2017) "Linear combination of auditory steady-state responses evoked by co-modulated tones". J. Acous. Soc. Am. https://doi.org/10.1121/1.5007757</p> <p><strong>Data</strong></p> <p>This repository includes:</p> <ul> <li>raw .bdf files for each subject and condition</li> <li>corresponding calibrated stimuli</li> </ul> <p>For some recordings, external electrodes were used instead the whole cap:</p> <ul> <li>EXT3: FCz</li> <li>EXT4: Cz</li> <li>EXT6: P9 or P10 (cf original publication)</li> </ul> <p><strong>Triggering:</strong></p> <p>One trigger is sent at every repetition of the stimulus (every second). This is to compensate for the slow drift between the clocks of the Biosemi and of the sound card.</p>
Data from: Winter-moth populations are isolated on co-occurring tree species with contrasting budburst-phenology
<p>Differences between neighbouring tree species in phenology could isolate populations of host-plant generalists that depend on matching the phenology of their host. We studied the relationship between the budburst phenology of two co-occurring tree species with early (hornbeams) and late (oaks) budburst, and the egg-hatching date of associated winter moths (<em>Operophtera brumata</em>) during two seasons (autumns starting in 2020 and 2021)<em>.</em> A previous study in spring 2019 had found no winter moth larvae on the focal oaks, while we found them mainly on oaks with hornbeam neighbours in 2022. Congruently, adult winter moths were rarely encountered during the autumns of 2018 and 2019 and sparsely in 2020 and 2021, and then mainly near hornbeams.The vast majority of winter moths had early-hatching eggs when both hornbeams and oaks were present, matching the hornbeams rather than the oaks. Where hornbeam was absent in the neighbourhood, the few winter moths had late-hatching eggs.These results suggest that winter moth populations on hornbeam and oak are to some degree isolated from each other despite spatial proximity, so that recolonization of oaks by populations synchronized with budburst of hornbeam is slow. Therefore, trees would benefit from differing from their neighbours in budburst phenology with respect to herbivore damage.</p>
Computational Investigation of Co-Aggregation and Cross-Seeding between Aβ and hIAPP Underpinning the Crosstalk in Alzheimer's Disease and Type-2 Diabetes
<p><span>The coexistence of Amyloid-β (Aβ) and human Islet Amyloid Polypeptide (hIAPP) in the brain and pancreas is associated with an increased risk of Alzheimer’s disease (AD) and type-2 diabetes (T2D) due to their co-aggregation and cross-seeding. Despite this, the molecular mechanisms underlying their interaction remain elusive. Here, we systematically investigated the cross-talk between Aβ and hIAPP using atomistic discrete molecular dynamics (DMD) simulations. Our results revealed that the amyloidogenic core regions of both Aβ (Aβ<sub>10–21</sub> and Aβ<sub>30–41</sub>) and hIAPP (hIAPP<sub>8-20</sub> and hIAPP<sub>22-29</sub>), driving their self-aggregation, also exhibited a strong tendency for cross-interaction. This propensity led to the formation of β-sheet-rich hetero-complexes, including potentially toxic β-barrel oligomers. The formation of Aβ and hIAPP hetero-aggregates did not impede the recruitment of additional peptides to grow into larger aggregates. Our cross-seeding simulations demonstrated that both Aβ and hIAPP fibrils could<a name="_Hlk163119646"></a> mutually act as seeds, assisting each other's monomers in converting into β-sheets at the exposed fibril elongation ends. The amyloidogenic core regions of Aβ and hIAPP, in both oligomeric and fibrillar states, exhibited the ability to recruit isolated peptides, thereby extending the β-sheet edges, with limited sensitivity to the amino acid sequence. These findings suggest that targeting these regions by capping them with amyloid-resistant peptide drugs may hold potential as a therapeutic approach for addressing AD, T2D, and their co-pathologies.</span></p>
Data and code for Reeb, R.A. & Kuebbing, S.E. (2024). Phenology mediates direct and indirect interactions among co-occurring invasive plant species. Ecology, e4446.
<p>Data and analysis code for:</p> <p>Reeb, R.A. & Kuebbing, S.E. (2024). Phenology mediates direct and indirect interactions among co-occurring invasive plant species. Ecology, e4446. <a href="https://doi.org/10.1002/ecy.4446">https://doi.org/10.1002/ecy.4446</a></p> <p>Repository contains R markdown analysis code, datasets, and the associated metadata file.</p>
CO co-feeding effect in CH3Cl coupling over ZSM-5 zeolite: pressure twists the plot
<p>Dataset supporting the article 'CO co-feeding effect in CH3Cl coupling over ZSM-5 zeolite: pressure twists the plot', by Z. Zhang, M. Vanni, X. Wu, P. Hemberger, A. Bodi, S. Mitchell, and J. Pérez-Ramírez.</p>
Supplementary data to accompany Gernon, T.M., Hincks, T.K., Brune, S., Braun, J., Jones, S.M., Keir, D., Cunningham, A., & Glerum, A., Co-evolution of craton margins and interiors during continental breakup.
<p>Supplementary data to accompany Gernon, T.M., Hincks, T.K., Brune, S., Braun, J., Jones, S.M., Keir, D., Cunningham, A., & Glerum, A., <em>Co-evolution of craton margins and interiors during continental breakup</em>. Nature (Accepted in Principle at time of writing, 3 June 2024).</p> <p><strong>Constraining thermochron uncertainty</strong></p> <p>We utilise published thermochron model data for 46 sites across southern Africa from Brown et al. (2002); Green et al. (2017); Kounov et al. (2013) and (2009); Stanley et al. (2020), (2015) and (2013); Tinker et al. (2008), and Wildman et al. (2017), (2016) and (2015). </p> <p>The above studies present model uncertainty in slightly different ways. However, we have attempted to provide equivalent estimates of uncertainty across the board in our analysis. </p> <p>Stanley and Flowers (2020) provide individual simulation runs for 15 sites, and we use these directly to estimate maximum temperature drop and associated timing for each simulation. For the 12 sites provided by Wildman et al. (2017, 2016, 2015), we use the best fit and 95 percentile envelope, and assume the 'good fit' envelopes of Kounov et al. (2009) to be broadly equivalent. For 15 sites (see MinMax.csv) we utilise the best fit curve together with an estimate of the minimum and maximum plausible timing of the point of maximum temperature drop.</p> <p>Green et al. (2017) provides only a best fit curve, and in the absence of further data we cannot provide an uncertainty estimate here. </p> <p><br><strong>Files provided</strong></p> <p><strong>SourceData.csv</strong><br>Summary of each site, associated data source(s), coordinates and model uncertainty. Please see references listed within for complete thermochron model descriptions and original data.</p> <p><strong>MinMax.csv</strong><br>Name/Location and references for thermochron source data for 15 sites with best fit curves, and estimates of the min/max time of maximum temperature drop.<br>Tmin and Tmax (degrees C) are the minimum and maximum modelled temperatures for each location. t1_Ma and t2_Ma are the minimum and maximum times (Ma) where the model simulations (best, good or acceptable fit) reach the midpoint temperature Tmid= (Tmax -Tmin)/2<br>The most likely timing is taken from the best fit curve. </p> <p><strong>Files in Thermochron_bestfit</strong><br>Best fit thermochron curves (Age in Ma, and Temp in degrees C) for 31 sites digitized from the original publications. Names correspond to File Names in SourceData.csv, which also provides references.</p> <p><strong>Files in Thermochron_Envelopes</strong><br>Lower and Upper 95 percentile thermochron envelopes (denoted *_L95.csv or *_U95.csv) for 12 sites, digitized from Wildman et al. (2017, 2016, 2015).<br>Lower and Upper good fit thermochron envelopes (denoted *_L.csv or *_U.csv) for three sites, digitized from Kounov et al. (2009)<br>Age in Ma, and Temp in degrees C.<br> <br><strong>Files in Stanley2020_model_runs</strong><br>Individual model output directly from Stanley and Flowers 2020 for 15 sites (no modification of original published data). Note these files include modelled best fit curves.</p> <p>If any of the thermochron model data/summaries given here are re-used, please cite the original source(s) as provided below.</p> <p><br><strong>Complete references</strong></p> <p>R. W. Brown, M. A. Summerfield, and A. J. W. Gleadow. Denudational history along a transect across the Drakensberg Escarpment of southern Africa derived from apatite fission track thermochronology. Journal of Geophysical Research: Solid Earth, 107(B12), 2002.</p> <p>P. F. Green, I. R. Duddy, P. Japsen, J. M. Bonow, and J. A. Malan. Post-breakup burial and exhumation of the southern margin of Africa. Basin Research, 29(1):96–127, 2017.</p> <p>A. Kounov, G. Viola, I. Dunkl, and H. E. Frimmel. Southern African perspectives on the long-term morpho-tectonic evolution of cratonic interiors. Tectonophysics, 601:177–191, 2013.</p> <p>A. Kounov, G. Viola, M. deWit, and M. A. G. Andreoli. Denudation along the Atlantic passive margin: new insights from apatite fission-track analysis on the western coast of South Africa. Geological Society, London, Special Publications, 324(1):287–306, 2009.</p> <p>J. R. Stanley and R. M. Flowers. Mesozoic denudation history of the lower Orange River and eastward migration of erosion across the southern African Plateau. Lithosphere, 12(1):74–87, 2020.</p> <p>J. R. Stanley, R. M. Flowers, and D. R. Bell. Erosion patterns and mantle sources of topographic change across the southern African Plateau derived from the shallow and deep records of kimberlites. Geochemistry, Geophysics, Geosystems, 16(9):3235–3256, 2015.</p> <p>J. R. Stanley, R. M. Flowers, and D. R. Bell. Kimberlite (U-Th)/He dating links surface erosion with lithospheric heating, thinning, and<br>metasomatism in the southern African Plateau. Geology, 41(12):1243–1246, 2013.</p> <p>J. Tinker, M. de Wit, and R. Brown. Linking source and sink: Evaluating the balance between onshore erosion and offshore sediment accumulation since Gondwana break-up, South Africa. Tectonophysics, 455(1):94–103, 2008.</p> <p>M. Wildman, R. Brown, C. Persano, R. Beucher, F. M. Stuart, V. Mackintosh, K. Gallagher, J. Schwanethal, and A. Carter. Contrasting Mesozoic evolution across the boundary between on and off craton regions of the South African plateau inferred from apatite fission track and (U-Th-Sm)/He thermochronology. Journal of Geophysical Research: Solid Earth, 122(2):1517–1547, 2017.</p> <p>M. Wildman, R. Brown, R. Beucher, C. Persano, F. Stuart, K. Gallagher, J. Schwanethal, and A. Carter. The chronology and tectonic style of landscape evolution along the elevated Atlantic continental margin of South Africa resolved by joint apatite fission track and (U-Th-Sm)/He thermochronology. Tectonics, 35(3):511–545, 2016.</p> <p>M. Wildman, R. Brown, R. Watkins, A. Carter, A. Gleadow, and M. A. Summerfield. Post break-up tectonic inversion across the southwestern cape of South Africa: New insights from apatite and zircon fission track thermochronometry. Tectonophysics, 654:30–55, 2015.</p>
Planteome/CO_340-cowpea-traits: CO_340-cowpea-traits ontology
<p>Cowpea Trait Dictionary - IITA - August 2015 - Updated Nov 2023 with the traits and variables for on farm comparative ranking of varieties</p>
Planteome/CO_326-coconut-traits: CO_326-coconut-traits
<p>Coconut Ontology v1.0 - Coconut trait dictionary started by CIRAD, based on the "Guidelines for collecting coconut germplasm characterisation data during prospecting missions", COGENT (to be published); the "Descriptors for Coconut, (Cocos nucifera L.)", IPGRI (1995); and the "Manual on standardized research techniques in coconut breeding", IPGRI (1996).</p>
Fig. 4 in Morphological and molecular description of Ixodes woyliei n. sp. (Ixodidae) with consideration for co-extinction with its critically endangered marsupial host
Fig. 4 Scanncng electron mccrographs of Ixodes woyliei n. sp. Female. a Spurs on coxae. b Spcracular plate. c Tarsus I. d Haller's organ. Scale-bars: a, 200 μm; b, c, 50 μm; d, 15 μm
Fig. 8 in Morphological and molecular description of Ixodes woyliei n. sp. (Ixodidae) with consideration for co-extinction with its critically endangered marsupial host
Fig. 8 Scanncng electron mccrographs of Ixodes woyliei. Nsmph, legs and spcracular plate. a Spurs on coxae. b Spcracular plate. c Tarsus I. d Haller's organ. Scale-bars: a, c, 100 μm; b, 20 μm; d, 10 μm
Fig. 7 in Morphological and molecular description of Ixodes woyliei n. sp. (Ixodidae) with consideration for co-extinction with its critically endangered marsupial host
Fig. 7 Scanncng electron mccrographs of Ixodes woyliei n. sp. Nsmph. a Gnathosoma, dorsal vcew. b Gnathosoma, ventral vcew. c Hspostome. Scale-bars: a, b = 40 μm; c, 10 μm
Fig. 9 in Morphological and molecular description of Ixodes woyliei n. sp. (Ixodidae) with consideration for co-extinction with its critically endangered marsupial host
Fig. 9 Lcne drawcng of Ixodes woyliei n. sp. Nsmph. a Capctulum ventral vcew. b Capctulum dorsal vcew. c Scutum. d Coxae. Scale-bars: 100 μm
Fig. 6 in Morphological and molecular description of Ixodes woyliei n. sp. (Ixodidae) with consideration for co-extinction with its critically endangered marsupial host
Fig. 6 Scanncng electron mccrographs of Ixodes woyliei n. sp. Nsmph. a Idcosoma, unengorged speccmen, dorsal vcew. b Idcosoma, unengorged speccmen, ventral vcew. c Scutum, showcng lateral carcnae. d Anal groove. Scale-bars: a-c, 200 μm; d, 40 μm
Fig. 5 in Morphological and molecular description of Ixodes woyliei n. sp. (Ixodidae) with consideration for co-extinction with its critically endangered marsupial host
Fig. 5 Lcne drawcng of Ixodes woyliei n. sp. Female. a Capctulum, ventral vcew. b Capctulum, dorsal vcew. c Scutum. d Tarscs I. e Tarscs IV. f Coxae. Scale-bars: 200 μm
Fig. 10 in Morphological and molecular description of Ixodes woyliei n. sp. (Ixodidae) with consideration for co-extinction with its critically endangered marsupial host
Fig. 10 Phslogenetcc relatconshcps of csolates of Ixodes woyliei n. sp. wcth other Australascan Ixodes spp. as estcmated uscng cstochrome c oxcdase subunct 1 (cox1) gene sequences. Sequences wcth accesscon numbers were obtacned from GenBank, all others were generated cn thcs studs. Evolutconars hcstors was cnferred uscng the necghbour-jocncng method supported wcth bootstrap test of 1,000 replccates (values> 50% shown). Rhipicephalus sanguineus cs used as the outgroup
Fig. 2 in Morphological and molecular description of Ixodes woyliei n. sp. (Ixodidae) with consideration for co-extinction with its critically endangered marsupial host
Fig. 2 Scanncng electron mccrographs of Ixodes woyliei n. sp. Female. a Idcosoma, unengorged speccmen, dorsal vcew. b Idcosoma, unengorged speccmen, ventral vcew. c Scutum, showcng lateral carcnae. d Anal groove. Scale-bars: a-c, 500 μm; d, 100 μm
Fig. 3 in Morphological and molecular description of Ixodes woyliei n. sp. (Ixodidae) with consideration for co-extinction with its critically endangered marsupial host
Fig. 3 Scanncng electron mccrographs of Ixodes woyliei n. sp. Female. a Gnathosoma, dorsal vcew. b Gnathosoma, ventral vcew. c Hspostome. Scale-bars: a-b, 100 μm; c, 20 μm
Heterogeneous Biocatalytic Reduction of 5-(Hydroxy)methyl Furfural Using two Co-immobilised Alcohol Dehydrogenases
<p>Biocatalyst heterogenisation may enable robust processes that can be applied in biorefineries to selectively valorise highly functionalised platform chemicals. In this work, we co-immobilise two dehydrogenases and successfully apply them in the selective reduction of 5-hydroxymethylfurfural (HMF) to 2,5-bis(hydroxymethyl) furan (BHMF) with efficient <em>in situ</em> cofactor regeneration. First, we select the best enzyme candidates (an alcohol dehydrogenase from <em>Escherichia coli</em> together with a thermostable glucose dehydrogenase from <em>Bacillus subtilis</em>) and then screen a variety of carriers and chemistries to find the optimal individual immobilisation protocols for each dehydrogenase. As a result, methacrylate carriers (Purolite™) functionalised with either aldehydes or with epoxy and cobalt-chelate groups co-immobilise both enzymes in high yields with a sufficient activity recovery (>20%). These optimal heterogeneous biocatalysts enable the quantitative bio-reduction of HMF to BHMF with >99% selectivity in only fifteen minutes, exhibiting an outstanding reusability of >15 batch cycles with a total volumetric productivity of ∼5 g L<sup>−1</sup> h<sup>−1</sup> of BHMF. Preliminary experiments on a semipreparative scale with HMF loadings of 40 mM also reach high product conversions (86%). Overall, the judicious selection of enzymes, carriers and reaction conditions enables the design of robust biocatalysts that may contribute to paving the way to the valorisation of highly functionalised chemicals in biorefineries.</p>
Fig. 2 in Anticarsia gemmatalis nucleopolyhedrovirus from soybean crops in Tamaulipas, Mexico: diversity and insecticidal characteristics of individual variants and their co-occluded mixtures
Fig. 2. Mortality of second instar Anticarsia gemmatalis following inoculation with 2 × 105 occlusion bodies per mL of (A) genotypic variants compared with a mixture of 30 field isolates (30wt) and reference Brazilian variant AgMNPV-2D (Ag-2D), and (B) co-occluded mixtures of variants (M1–M4).
Fig. 4 in Anticarsia gemmatalis nucleopolyhedrovirus from soybean crops in Tamaulipas, Mexico: diversity and insecticidal characteristics of individual variants and their co-occluded mixtures
Fig. 4. Weibull estimates of mean time to death of fourth instar Anticarsia gemmatalis infected by (A) the individual genotypic variants compared with a mixture of 30 field isolates (30wt) and reference Brazilian variant AgMNPV-2D (Ag-2D) (shape parameter a = 6.776), and (B) co-occluded mixtures of variants (M1–M4) (shape parameter a = 7.509).
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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.