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741 results for “Decay”
Data and codes for "Decay-protected superconducting qubit with fast control enabled by integrated on-chip filters"
<p>Data and codes for "Decay-protected superconducting qubit with fast control enabled by integrated on-chip filters".</p>
Data for: Spatial variability in the contribution of termites to the decay of plant detritus
<p>Drylands are characterized by high spatial variability in resource availability due to sporadic rainfall, topography of the landscape and important effects of animals. Resource availability gradients may trigger patterns in decomposer population abundances and activity which could affect ecosystem functions such as decomposition. Here, we examined the influence of resource availability gradients on the importance of termites in the decomposition of wood and grass litter. We placed wood blocks and grass litter baits in bags accessible and inaccessible to termites across wood and grass resource gradients as determined by the presence or absence of a top mammalian predator and across topographic gradients during a 9-month period in arid Australia. We hypothesized that grass-eating termite activity would track grass abundance and wood-eating termite activity would track wood abundance. Termites were the predominant decomposition agent at these sites. Termites contributed to 99.5% of wood decomposition and 83.9% of grass decomposition during our study period. For wood, the termite effect was spatially variable and increased with habitat wood availability which was greatest on dunes and where top predators were absent. However, the contribution of termites to grass litter decomposition did not track grass availability or termite abundance. The highest effects of termites on grass decomposition rates were found in habitats where the absence of top predators led to low grass availability. Our findings highlight how spatial variability in resources in addition to other factors that we do not document but are known to be influenced by the presence of top predators, such as insectivore predation rates, across the landscape could affect ecosystem functions such as decomposition. </p>
The solvation shell probed by resonant intermolecular Coulombic decay - data
<p>Dataset pertaining to the article "The solvation shell probed by resonant intermolecular Coulombic decay", accepted for publication in Nature Communications. Here, we show how a resonant variant of intermolecular Coulombic decay can be used to selectively infer information on the electronic structure of solvent shell molecules around a metal ion in aqueous solution. Experiments were done using a liquid microjet.</p> <p>Files with extension .nxs are hdf5-files structured according to the NeXus standard v2022.07, see<br>https://www.nexusformat.org/<br>https://fairmat-experimental.github.io/nexus-fairmat-proposal/50433d9039b3f33299bab338998acb5335cd8951/mpes-structure.html<br>NeXus data files can be opened with any software capable of opening hdf5-structured files. The following viewers are adapted to the specifics of the NeXus data format:<br>* nexpy (distributed with python)<br>* https://h5web.panosc.eu/h5wasm (web-based NeXus viewer maintained by the European Photon and Neutron Open Science Cloud-consortium)</p> <p>In each NeXus file-entry, two types of spectra are shown:<br>1. Sweep-averaged spectra, integrated over the non-dispersive coordinate of our detector ('data').<br>2. As-measured data ('raw').</p> <p>Files with extension .txt are tab-separated ascii-files. Files with exension .zip are zipped archives of several .txt-files.</p> <p><br>The following files are provided:</p> <p>Photoemission data pertaining to all figures in the article's main text and supplementary information, including all relevant metadata:<br>CaICD_dataset.nxs</p> <p>Numeric representations of the traces shown in the article's and supplementary information's figures, one zipped archive per figure:<br>FigN.zip</p> <p>Version history<br>1: initial upload</p> <p>Contact persons for questions regarding this data set: Rémi Dupuy, remi.dupuy@sorbonne-universite.fr; Uwe Hergenhahn, uhe@fhi.mpg.de. If you use these data for your scientific work we are curious to learn about it.</p>
Fig. 2 in Identification of three wood decay fungi in Yeoninsan Provincial Park, Korea
Fig. 2. The phylogenetic tree of Hyphodontia reticulata (KUC20160721B-26) and related species based on internal transcribed spacer region sequences. The dataset was created from 13 taxa and 799 characters. The specimen examined in this study is boldfaced. The posterior probability values ≥70 are shown above branch. The scale bar indicates nucleotide substitutions per position.
Supplemental Material: Consolidating the concept of low-energy magnetic dipole decay radiation
<p>This record consists of all shell model calculation results used in Midtbø <em>et al</em>., <em>Consolidating the picture of low-energy magnetic dipole decay radiation, </em>Phys. Rev. C (2018, accepted), arXiv:1807.04036 [nucl-th].</p> <p>All calculations are performed using KSHELL (arXiv:1310.5431 [nucl-th]). For details on our calculations we refer to our article.</p>
Dataset From: Unexpectedly Large Decay Lengths of Double Layer Forces in Solutions of Symmetric, Multivalent Electrolytes
<p>The dataset for the publication "Unexpectedly Large Decay Lengths of Double Layer Forces in Solutions of Symmetric, Multivalent Electrolytes". DOI: 10.1021/acs.jpcb.8b12246.</p> <p>Files containing data have .dat extension and are in text format.</p>
Dataset: Decay of Torsional Stiffness of RC U-shaped Walls When Subjected Simultaneously to In-Plane Loading
<p>Reinforced concrete U-shaped walls are a popular construction choice, commonly used to resist the lateral loads from wind and earthquakes. When subjected to earthquake ground motions, it is likely that these structural elements will not only bend in flexure but twist due to asymmetries of the building plan layout and the location of the shear center outside of the section. This research investigates the dependency of the torsional stiffness of U-shaped walls on the in-plane translational displacement demands using novel experimental evidence and advanced numerical models. The experimental results show that for a given flexural position, the torsional stiffness decreases with increasing in-plane translational displacement. Furthermore, the numerical and experimental results indicate that when the wall is centered the torsional stiffness degrades at the same rate at the translational stiffness of the walls. Thus, the torsional stiffness of a U-shaped wall as a function of ductility can be estimated using the translational secant stiffness. The numerical results also show that the torsional stiffness increases as a function of the axial load ratio of the wall. The experimental and numerical dataset from this research investigation can be downloaded from a publicly accessible repository.</p>
Dataset for Probing Majorana neutrinos with double-β decay
<p>This dataset includes the plots in the publication "Probing Majorana neutrinos with double-β decay" and its supplementary materials.</p>
Figures 75–79. Habitus images. 75 in Comparison of Coleoptera emergent from various decay classes of downed coarse woody debris in Great Smoky Mountains National Park, USA
Figures 75–79. Habitus images. 75) Sepedophilus cinctulus (Erichson) (Staphylinidae: Tachyporinae). 76) Sepedophilus occultus (Casey) (Staphylinidae: Tachyporinae). 77) Hymenorus sp. (female) (Tenebrionidae). 78) Strongylium crenatum Mäklin (Tenebrionidae). 79) Aulonothroscus distans Blanchard (Throscidae).
Figures 51–56. Habitus images. 51 in Comparison of Coleoptera emergent from various decay classes of downed coarse woody debris in Great Smoky Mountains National Park, USA
Figures 51–56. Habitus images. 51) Priobium sericeum (Say) (Ptinidae: Anobiinae). 52) Dendroides canadensis Latreille (Pyrochroidae). 53) Dendroides concolor (Newman) (Pyrochroidae). 54) Clinidium baldufi Bell (Rhysodidae). 55) Rhinosimus viridiaeneus (Randall) (Salpingidae). 56) Aleocharinae gen. sp. (Staphylinidae: Aleocharinae).
Figures 69–74. Habitus images. 69 in Comparison of Coleoptera emergent from various decay classes of downed coarse woody debris in Great Smoky Mountains National Park, USA
Figures 69–74. Habitus images. 69) Trimioplectus obsoletus Brendel (Staphylinidae: Pselaphinae). 70) Euconnus (Napochus) sp. (Staphylinidae: Scydmaeninae). 71) Euconnus (Scopophus) n. sp. (Staphylinidae: Scydmaeninae). 72) Euconnus (Scopophus) sp. (Staphylinidae: Scydmaeninae). 73) Hesperus apicialis (Say) (Staphylinidae: Staphylininae). 74) Sepedophilus brachypterus Campbell (Staphylinidae: Tachyporinae).
Figures 45–50. Habitus images. 45 in Comparison of Coleoptera emergent from various decay classes of downed coarse woody debris in Great Smoky Mountains National Park, USA
Figures 45–50. Habitus images. 45) Dircaea liturata (LeConte) (Melandryidae). 46) Hypulus simulator Newman (Melandryidae). 47) Ptiliidae gen. sp. (Ptiliidae). 48) Acrotrichis sp. (Ptiliidae: Acrotrichinae). 49) Pteryx sp. (Ptiliidae: Ptiliinae). 50) Oligomerus obtusus LeConte (Ptinidae: Anobiinae).
Figures 27–32. Habitus images. 27 in Comparison of Coleoptera emergent from various decay classes of downed coarse woody debris in Great Smoky Mountains National Park, USA
Figures 27–32. Habitus images. 27) Apteromechus ferratus (Say) (Curculionidae: Cryptorhynchinae). 28) Cophes fallax (LeConte) (Curculionidae: Cryptorhynchinae). 29) Dryophthorus americanus (Bedel) (Curculionidae: Dryophthorinae). 30) Xyleborus atratus Eichhoff (Curculionidae: Scolytinae). 31) Xylosandrus crassiusculus (Motschulsky) (Curculionidae: Scolytinae). 32) Xylosandrus germanus (Blandford) (Curculionidae: Scolytinae).
Figures 9–14. Habitus images. 9 in Comparison of Coleoptera emergent from various decay classes of downed coarse woody debris in Great Smoky Mountains National Park, USA
Figures 9–14. Habitus images. 9) Dicerca divaricata (Say) (Buprestidae: Chrysochroinae). 10) Gastrellarius honestus (Say) (Carabidae: Harpalinae). 11) Mioptachys flavicauda (Say) (Carabidae: Trechinae). 12) Eupogonius pauper LeConte (Cerambycidae: Lamiinae). 13) Leptostylus transversus (Gyllenhal) (Cerambycidae: Lamiinae). 14) Microgoes oculatus (LeConte) (Cerambycidae: Lamiinae).
Figures 2–7. 2 in Comparison of Coleoptera emergent from various decay classes of downed coarse woody debris in Great Smoky Mountains National Park, USA
Figures 2–7. 2) Species accumulation curves for a: total; b: CWD; c: FWD.3) Species accumulation curves for a: total; b: primary forest; c: secondary forest. 4) Species accumulation curves for a: total; b: 2007; c: 2006. 5) Species accumulation curves for a: total; b: CWD2; c: CWD3-4; d: CWD1; e: FWD1; f: FWD2. 6) Species accumulation curves for a: total; b: primary FWD2; c: primary FWD1; d: secondary FWD1; e: secondary FWD2. 7) Species accumulation curves for a: total; b: primary CWD2; c: primary CWD3–4; d: primary CWD1; e: secondary CWD1; f: secondary CWD2; g: secondary CWD3–4.
Figures 21–26. Habitus images. 21 in Comparison of Coleoptera emergent from various decay classes of downed coarse woody debris in Great Smoky Mountains National Park, USA
Figures 21–26. Habitus images. 21) Ceracis singularis (Dury) (Ciidae). 22) Octotemnus laevis Casey (Ciidae). 23) Atomaria sp. (Cryptophagidae). 24) Cryptophagus sp. (Cryptophagidae). 25) Caulophilus dubius (Horn) (Curculionidae: Cossoninae). 26) Stenoscelis brevis (Boheman) (Curculionidae: Cossoninae).
Figures 39–44. Habitus images. 39 in Comparison of Coleoptera emergent from various decay classes of downed coarse woody debris in Great Smoky Mountains National Park, USA
Figures 39–44. Habitus images. 39) Isarthrus rufipes (Melsheimer) (Eucnemidae). 40) Isorhipis obliqua (Say) (Eucnemidae). 41) Melasis pectinicornis Melsheimer (Eucnemidae). 42) Microrhagus subsinuatus LeConte (Eucnemidae). 43) Bacanius tantillus LeConte (Histeridae). 44) Agathidium sp. (female) (Leiodidae: Leiodinae).
Figures 63–68. Habitus images. 63 in Comparison of Coleoptera emergent from various decay classes of downed coarse woody debris in Great Smoky Mountains National Park, USA
Figures 63–68. Habitus images. 63) Thoracophorus costalis (Erichson) (Staphylinidae: Osoriinae). 64) Adranes lecontei Brendel (Staphylinidae: Pselaphinae). 65) Batrisodes sp. (female) (Staphylinidae: Pselaphinae). 66) Leptoplectus pertenuis (Casey) (Staphylinidae: Pselaphinae). 67) Pycnoplectus sp. (female) (Staphylinidae: Pselaphinae). 68) Sonoma sp. (female) (Staphylinidae: Pselaphinae).
Figures 57–62. Habitus images. 57 in Comparison of Coleoptera emergent from various decay classes of downed coarse woody debris in Great Smoky Mountains National Park, USA
Figures 57–62. Habitus images. 57) Athetini sp. (Staphylinidae: Aleocharinae). 58) Atheta sp. (Staphylinidae: Aleocharinae). 59) Leptusa carolinensis Pace (Staphylinidae: Aleocharinae). 60) Leptusa cribratula (Casey) (Staphylinidae: Aleocharinae). 61) Leptusa pusio (Casey) (Staphylinidae: Aleocharinae). 62) Leptusa sp. (Staphylinidae: Aleocharinae).
Figures 33–38. Habitus images. 33 in Comparison of Coleoptera emergent from various decay classes of downed coarse woody debris in Great Smoky Mountains National Park, USA
Figures 33–38. Habitus images. 33) Xyloterinus politus (Say) (Curculionidae: Scolytinae). 34) Ampedus areolatus (Say) (Elateridae). 35) Ampedus luteolus (LeConte) (Elateridae). 36) Ampedus semicinctus (Randall) (Elateridae). 37) Bystus ulkei (Crotch) (Endomychidae). 38) Tohlezkus inexpectus Vit (Eucinetidae).
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.