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864 results for “numerative”
How flexible, slit and rigid barriers mitigate two-phase geophysical mass flows: a numerical appraisal
<p>The supplementary videos SV1 and SV2 (presented in Figures 4 and 5) show geophysical flows impacting flexible, slit, and rigid barriers via pile-up mode and runup mode, respectively.</p> <p>The measurement data used for comparison in Figure 7 from 14 centrifuge tests with bouldery and the boulder-debris mixture flows (Song et al., 2018b, 2019), and dry granular flow against open-type dams (Choi et al., 2020) were published open access in their articles.</p> <p>The unique dataset, comprising normalized data obtained from analytical models (Li et al., 2021; Song et al., 2021a), empirical relations (Cui et al., 2015), experiments (Armanini et al., 2020; Choi et al., 2020; Cui et al., 2015; Hu et al., 2020; Song et al., 2021a, 2021b; Tiberghien et al., 2007; Vicari et al., 2021), field events (Hübl et al., 2009), and practical design values (Armanini, 1997; Hungr et al., 1984; Kwan & Cheung, 2012; Wendeler, 2016), is plotted in Figure 10 for comparison.</p> <p>All these articles can be found in the PDF file entitled “References in Figures 7 and 10”.</p>
CMT precipitation dataset for numerical models of the ocean
<p>Total and liquid precipitation datasets created with the method described in <strong>Bias and trend correction of precipitation datasets to force ocean models</strong> (<em>Dussin, JTECH, in revision)</em>.</p>
Data accompanying "A new brittle rheology and numerical framework for large-scale sea-ice models"
<p>Data accompanying "A new brittle rheology and numerical framework for<br> large-scale sea-ice models" by E. Olason et al, accepted for publication in<br> Journal of Advances in Modelling Earth Systems (2022).</p> <p>Files:<br> * CS2SMOS.tar.bz2: Contains Cryosat2/SMOS data, post-precessed and used to<br> produce figures comparing modelled thickness to observations.<br> * deformation_maps_demo.ipynb: An example jupyter notebook to read pairs.npz<br> * OlasonEtAl_BBM.tar.bz2: Thickness fields from the MEB run used to produce<br> figure 1 (netCDF).<br> * OlasonEtAl_MEB.tar.bz2: Thickness fields from the BBM run used to produce<br> figure 8 (netCDF).<br> * OlasonEtAl_mEVP.tar.bz2: Thickness fields from the mEVP run used to produce<br> figure 8 (netCDF).<br> * pairs.npz: Displacement pairs derived from the model's Lagrangian mesh used<br> to produce figures 3, 4, and 5 (numpy data file).<br> * Winter2006_7_BBM.nc.bz2: Thickness, concentration, and velocity fields from<br> the BBM run for the winter 2006-7 widely used in the paper (netCDF).<br> * Winter2006_7_mEVP.nc.bz2: Thickness, concentration, and velocity fields from<br> the mEVP run for the winter 2006-7 used for comparison in the paper<br> (netCDF).</p> <p> </p>
Catches of numerous insect species in Rothamsted 160W light trap at Devonport, Tasmania, 1992-2019
<p>These data derive from decades of near-continuous (1992 - 2019, apart from 2008 and 2009) operation of a 160W Rothamsted-design light trap at Stony Rise Centre, Devonport, Tasmania, Australia. Stony Rise was the last of several long term, continuous trapping sites operated over this period by the Tasmanian state agricultural agency, currently known as the Department of Natural Resources and Environment Tasmania.</p> <p>The light was normally operated every night, with all individuals of selected taxa counted. There were 5433 trapping events covering 7897 nights including 4167 single-night events, 502 two-night events, 516 three-night events and 165 four-night events. The remaining 83 events were variously 5-14 nights duration. There were 194 sporadic nights when the trap malfunctioned, which is about 2.5% of 7897 nights in the main trapping periods. The trap did not operate for extended periods (3-6 months) in early 1996, early 1998, all of 2007, all of 2008, all of 2009, early 2010 and late 2015. Enumeration of catches ceased on 6 February 2019. A total of 222,146 specimens were identified and enumerated for the data set.</p> <p><strong>Dataset</strong></p> <p>The initial focus of the trapping was on Noctuidae and insect species of economic importance for Tasmanian agriculture. The taxa selected for identification and counts grew from 104 taxa in 1992 to 273 taxa in 2019. Consequently, absence of some species from early samples should not be considered to indicate absence of these species. During periods in which any species was included in counts, a record is always included for the species in question, with a count of zero if no individuals were detected. During periods in which the species was not included in counts, no record is included for the species and period in question. Hence zero counts can always be considered to represent true absence within the sample of identified insects.</p> <p>An explanation of the survey work leading to this dataset and an overview of species included was published in Hill, L., 2013b, Long-term light trap data from Tasmania, Australia, Plant Protection Quarterly Vol.28(1) (<a href="https://www.researchgate.net/publication/274700470_Long-term_light_trap_data_from_Tasmania_Australia">https://www.researchgate.net/publication/274700470_Long-term_light_trap_data_from_Tasmania_Australia</a>).</p> <p>The bibliography lists publications derived from analysis of these data.</p> <p><strong>Purpose</strong></p> <p>The focus was on prognosis of Persectania ewingii Westwood, southern armyworm and several other noctuid pests such as Helicoverpa punctigera (Wallengren), native budworm and Agrotis species, true cutworms, which were all subsequently shown to undertake substantial annual immigration from mainland Australia to Tasmania across Bass Strait (Drake et al. 1981, Hill 1993, Hill 2007a). The reliability of using light trap catches to forecast larval outbreaks of southern armyworm was determined empirically since 1953 (Hill, L. 2013c). A history of forecasting outbreaks of the southern armyworm, Persectania ewingii (Lepidoptera: Noctuidae) in Tasmania. Plant Protection Quarterly Vol.28(1), 15-21. Many frequent or infrequent vagrant Lepidoptera and other taxa were detected and the status of some of these was asserted in scientific publications (Hill 2011a, 2012a, 2013d, 2014, 2015, 2016a, 2016b, 2017). Sex ratio data for 38 species of Noctuidae was collected but is not provided in this dataset. Data from similar traps at other Tasmanian sites, back to 1953 for a few species, as described by Hill (2013c) is held variously in hardcopy format by the Department of Natural Resources and Environment Tasmania. It is available on request.</p> <p><strong>Temporal scope</strong></p> <p>January 1, 1992 - February 6, 2019</p> <p><strong>Geographic scope</strong></p> <p>Stony Rise Centre, Devonport, Tasmania, Australia </p> <p><strong>Taxonomic scope</strong></p> <p>227 species or higher taxa of Lepidoptera, representing about 30 families. 7 taxa of Coleoptera, representing 2 families. 6 taxa of Diptera representing 6 families. 12 taxa of Hemiptera representing 6 families. 3 taxa of Hymenoptera representing 1 family. 16 taxa of Neuroptera representing 5 families. 1 taxon of Blattodea. 1 taxon of Orthoptera.</p> <p><strong>Methodology</strong></p> <p><em>Study extent</em></p> <p>The light trap was installed at Stony Rise Centre (government offices), 1 Rundle Street, Devonport, Tasmania (146.32 E, 41.18 S).</p> <p><em>Sampling</em></p> <p>The trap was similar to the Rothamsted-design traps operated in the United Kingdom, consisting of a clear glass or Perspex, truncated pyramid of 52 cm square base, 22 cm height and 12 cm top aperture surrounding a square, glass funnel of slightly lesser height with 20 cm top aperture and 4 cm bottom aperture. This was mounted on a wooden base-board about 1.3 m above ground under a ridged, steel roof. A 160 W mercury vapour bulb was suspended within the funnel from the ceiling of the roof cavity, in which a clock switch was fitted. Clearance between the top aperture of the funnel and the ceiling of the roof was about 4 cm. The catch was collected into a single 10 cm square glass jar with a plaster of Paris floor bearing tetrachlorethane killing fluid and with a 9 cm orifice screwed to the underside of the baseboard. This jar contained a piece of crumpled paper towel to reduce rubbing of specimens. In December 2015 the trap was rebuilt in stainless steel to the same dimensions and using the original collection pyramid and funnel. The clock switch was replaced by a light sensitive switch.</p> <p><em>Quality control</em></p> <p>Only selected insect species were sorted and identified, counted and written into a data file. Some insects were only sorted and counted using supraspecific ranks. The range of included species grew over the period. Records for each interval exclude taxa which were not sorted or identified during the period in question. Hence zero counts indicate absence of the insects concerned during a trapping period.</p> <p><em>Method steps</em></p> <ol> <li> <p>In the study, all individual records of selected target insect species were collected, identified to species level and counted yielding qualitative (species) and quantitative (number of individuals within each species) data for the entire study period. The recorded taxa are listed in taxon.csv in this dataset, along with summary information on the first and last events during which the taxon was monitored, the number of events in which the taxon could have been detected, the actual number in which it was detected, the total number of individuals detected, and the number of individuals detected in each year from 1992 to 2019 and in each month of the year.</p> </li> <li> <p>All handling and identification of material was carried out consistently throughout the entire period by the same researcher.</p> </li> <li> <p>Over 9000 specimens in several hundred taxa from this light trap are preserved in the Tasmanian Agricultural Insect Collection, Hobart, Tasmania (<a href="https://collections.ala.org.au/public/show/co131">https://collections.ala.org.au/public/show/co131</a>). Note specimen records are not included in this dataset. Images of representative specimens of most recorded taxa are included in the image subfolder and listed in image.csv. For insects identified only to genus or higher, it should not be assumed that all records over the period matched the species illustrated.</p> </li> <li> <p>The data were prepared for publication as a Darwin Core sampling event dataset via a series of transformations within Excel and comprises the following CSV files: event.csv (Darwin Core sampling event records) and occurrence.csv (Darwin Core occurrence records linked to event.csv by eventID). Two other CSV files are included but not mapped through the Darwin Core Archive meta.xml. First, image.csv lists images of example specimens of many of the taxa recorded in the dataset. These images are included in the image folder. Secondly, taxon.csv summarises the taxa referenced within occurrence.csv, cross-references the images as associatedMedia and provides summary counts for the number of individuals of each taxon recorded in each year of the study and in each calendar month through the period.</p> </li> </ol> <p><strong>Bibliography</strong></p> <ol> <li> <p>Drake et al. 1981. Insect migration across Bass Strait during spring: a radar study. Bulletin of Entomological Research 71, 449-66. https://doi.org/10.1017/S0007485300008476</p> </li> <li> <p>Hill 1993. Colour in adult Helicoverpa punctigera Wallengren (Lepidoptera: Noctuidae) as an indicator of migratory origin. Journal of the Australian Entomological Society 32, 145-51. https://doi.org/10.1111/j.1440-6055.1993.tb00563.x</p> </li> <li> <p>Hill 2007a. Agrotis (Lepidoptera: Noctuidae) species in Tasmania including montane, summer aestivation of the bogong moth, Agrotis infusa (Boisduval, 1832). Victorian Entomologist 37(1), 3-9. https://www.researchgate.net/publication/274700557</p> </li> <li> <p>Hill 2007b. The chevron cutworm, Diarsia intermixta in Tasmania. Victorian Entomologist 37(5), 68-76. https://www.researchgate.net/publication/274700503</p> </li> <li> <p>Hill 2011a. The Pacific damsel bug, Nabis kinbergii in Tasmania. Victorian Entomologist 41(5), 99-107. https://www.researchgate.net/publication/274700561</p> </li> <li> <p>Hill 2011b. The heliotrope moth, Utetheisa pulchelloides in Tasmania. Victoria Entomologist 41(4), 69-73. https://www.researchgate.net/publication/274700401</p> </li> <li> <p>Hill 2011c. Continual migration across Bass Strait? Victorian Entomologist 41(6), 117-22. https://www.researchgate.net/publication/274700626.</p> </li> <li> <p>Hill 2012a. Cabbage-centre grub Hellula hydralis, not resident in Tasmania. Plant Protection Quarterly 27(3), 91-100. https://www.researchgate.net/publication/274700462</p> </li> <li> <p>Hill 2012b. The brown lacewing, Micromus tasmaniae in Tasmania: Part 1. Victorian Entomologist 42(5), 94-101. https://www.researchgate.net/publication/274700563.</p> </li> <li> <p>Hill 2012c. The brown lacewing, Micromus tasmaniae in Tasmania: Part 2. Victorian Entomologist 42(6), 115-20. https://www.researchgate.net/publication/274700504</p> </li> <li> <p>Hill 2013a. A history of forecasting outbreaks of the southern armyworm, Persectania ewingii (Lepidoptera: Noctuidae) in Tasmania. Plant Protection Quarterly Vol.28(1), 15-21. https://www.researchgate.net/publication/274700550</p> </li> <li> <p>Hill 2013b. Long-term light trap data from Tasmania, Australia. Plant Protection Quarterly Vol.28(1), 22-27. https://www.researchgate.net/publication/274700470.</p> </li> <li> <p>Hill 2013c. The common armyworm, Mythimna convecta (Walker) (Noctuidae:Lepidoptera), a seasonal resident in Tasmania. Plant Protection Quarterly Vol.28(4), 114-119. https://www.researchgate.net/publication/274700391</p> </li> <li> <p>Hill 2013d. Earias moths, rare vagrants in Tasmania. Victorian Entomologist 43(2), 40-43. https://www.researchgate.net/publication/274700577.</p> </li> <li> <p>Hill 2013e. Australia painted lady butterflies light-trapped in Tasmania. Victorian Entomologist 43(4), 76-81. https://www.researchgate.net/publication/274700637</p> </li> <li> <p>Hill 2013f. The satin moth, Thalaina selenaea in Tasmania. Victorian Entomologist 43(5), 106-111. https://www.researchgate.net/publication/274700628</p> </li> <li> <p>Hill 2014. Lesser armyworm, Spodoptera exigua (Hübner) (Lepidoptera: Noctuidae), a vagrant moth in Tasmania. Plant Protection Quarterly Vol.29(4), 131-142. https://www.researchgate.net/publication/274700387</p> </li> <li> <p>Hill 2015. Eggfruit caterpillar, Sceliodes cordalis (Doubleday) (Lepidoptera: Pyralidae), a vagrant moth and indicator for likelihood of Queensland fruit fly establishment in Tasmania? Plant Protection Quarterly Vol.30(1), 27-39. https://www.researchgate.net/publication/311950878.</p> </li> <li> <p>Hill 2016a. An extreme rain event brings two vagrant moths to Tasmania. Victorian Entomologist 46(4), 88-89. https://www.researchgate.net/publication/311951473.</p> </li> <li> <p>Hill 2016b. Meyrickella ruptellus (Noctuidae: Hypeninae), a rare vagrant in Tasmania. Victorian Entomologist 46(3), 60-66. https://www.researchgate.net/publication/311950973</p> </li> <li> <p>Hill 2017. Migration of green mirid, Creontiades dilutus (Stål) and residence of potato bug, Closterotomus norwegicus (Gmelin) in Tasmania (Hemiptera: Miridae: Mirinae: Mirini). Crop Protection 96(2017), 211-220. https://doi.org/10.1016/j.cropro.2017.02.006</p> </li> </ol>
Data and code for Scale-invariant random geometry from mating of trees: a numerical study
<p>This entry contains the source code, simulation data and data analysis notebooks for the paper</p> <p>T. Budd, A. Castro, "Scale-invariant random geometry from mating of trees: a numerical study." <a href="https://arxiv.org/abs/2207.05355">arXiv:2207.05355</a>.</p> <p>This work is part of START-UP 2018 programme with project number 740.018.017, which is financed by the Dutch Research Council (NWO).</p>
Numerical and experimental dataset for an air-cooled data center
<p>This dataset contains the<em> </em><em>underling data</em><em> </em>for the papers:</p> <p><em>M. Kuzay, A. Dogan, S. Yilmaz, O. Herkiloglu, A.S. Atalay, C. Yilmaz, E. Demirel, Retrofitting of an air-cooled data center for energy efficiency, Case Studies in Thermal Engineering (2022), 36, 102228. <a href="https://doi.org/10.1016/j.csite.2022.102228">https://doi.org/10.1016/j.csite.2022.102228</a>.</em></p> <p><em>M. Kuzay, A. Dogan, S. Yilmaz, O. Herkiloglu, A.S. Atalay, C. Yilmaz, E. Demirel, Numerical and experimental dataset for an air-cooled data center, </em><em>Data in Brief (2022).</em></p> <p>All cases were prepared using OpenFOAM 8 for the simulation of flow and thermal structures inside the data center for both previous and retrofitted designs.</p> <p> </p> <p><strong><a href="https://doi.org/10.1016/j.csite.2022.102228">data.tar.xz</a>: </strong>Temperature data obtained from the experimental studies conducted for previous and retrofitted designs.</p> <p><strong><a href="http://doi.org/10.1016/j.csite.2022.102228">experimentalScenarios.tar.xz:</a> </strong>OpenFOAM files and scripts for the simulation of flow and thermal structures under the same thermal conditions as in the experimental studies for previous and retrofitted designs.</p> <p><strong><a href="http://doi.org/10.1016/j.csite.2022.102228">fictiousScenarios.tar.xz</a>: </strong>OpenFOAM files and scripts for the simulation of flow and thermal structures for a working scenario of 15.5 kW for previous and retrofitted designs.</p> <p><strong><a href="http://doi.org/10.1016/j.csite.2022.102228">postProcess.tar.xz</a>: </strong>Numerical results obtained from the validated numerical model.</p>
Genome-wide association implicates numerous genes underlying ecological trait variation in natural populations of Populus trichocarpa
In order to uncover the genetic basis of phenotypic trait variation, we used 448 unrelated wild accessions of black cottonwood (Populus trichocarpa) from much of its range in western North America. Extensive data from large-scale trait phenotyping (with spatial and temporal replications within a common garden) and genotyping (with a 34 K Populus single nucleotide polymorphism (SNP) array) of all accessions were used for gene discovery in a genome-wide association study (GWAS). We performed GWAS with 40 biomass, ecophysiology and phenology traits and 29 355 filtered SNPs representing 3518 genes. The association analyses were carried out using a Unified Mixed Model accounting for population structure effects among accessions. We uncovered 410 significant SNPs using a Bonferroni-corrected threshold (P < 1.7 × 10−6). Markers were found across 19 chromosomes, explained 1–13% of trait variation, and implicated 275 unique genes in trait associations. Phenology had the largest number of associated genes (240 genes), followed by biomass (53 genes) and ecophysiology traits (25 genes). The GWAS results propose numerous loci for further investigation. Many traits had significant associations with multiple genes, underscoring their genetic complexity. Genes were also identified with multiple trait associations within and/or across trait categories. In some cases, traits were genetically correlated while in others they were not.
Genome-wide association implicates numerous genes underlying ecological trait variation in natural populations of Populus trichocarpa
In order to uncover the genetic basis of phenotypic trait variation, we used 448 unrelated wild accessions of black cottonwood (Populus trichocarpa) from much of its range in western North America. Extensive data from large-scale trait phenotyping (with spatial and temporal replications within a common garden) and genotyping (with a 34 K Populus single nucleotide polymorphism (SNP) array) of all accessions were used for gene discovery in a genome-wide association study (GWAS). We performed GWAS with 40 biomass, ecophysiology and phenology traits and 29 355 filtered SNPs representing 3518 genes. The association analyses were carried out using a Unified Mixed Model accounting for population structure effects among accessions. We uncovered 410 significant SNPs using a Bonferroni-corrected threshold (P < 1.7 × 10−6). Markers were found across 19 chromosomes, explained 1–13% of trait variation, and implicated 275 unique genes in trait associations. Phenology had the largest number of associated genes (240 genes), followed by biomass (53 genes) and ecophysiology traits (25 genes). The GWAS results propose numerous loci for further investigation. Many traits had significant associations with multiple genes, underscoring their genetic complexity. Genes were also identified with multiple trait associations within and/or across trait categories. In some cases, traits were genetically correlated while in others they were not.
Text-fig. 8. SEM (a, b) and SRXTM (c, d) images of fruit associated with Miranthus elegans and Miranthus kvacekii; Mira locality, Portugal. a: Apical view of capsular fruit with five, partly open valves revealing the enclosed reticulate seeds (arrows). b: Detail of fruit wall showing an enclosed seed (arrow). c: Transverse section (orthoslice xy1200) of fruit showing central column (cc) of placenta and numerous angular and bitegmic seeds; note that the outer integument (black arrow) is thicker than inner integument (white arrow). d: Longitudinal section (orthoslice yz1239) of fruit showing perigynous attachment of calyx, central column (cc) of the placenta and sections through seeds. Specimen, Mira 99-S156331 (a–d). Scale bars = 600 µm (a, c, d), 200 µm (b). in Early Flowers Of Primuloid Ericales From The Late Cretaceous Of Portugal And Their Ecological And Phytogeographic Implications
Text-fig. 8. SEM (a, b) and SRXTM (c, d) images of fruit associated with Miranthus elegans and Miranthus kvacekii; Mira locality, Portugal. a: Apical view of capsular fruit with five, partly open valves revealing the enclosed reticulate seeds (arrows). b: Detail of fruit wall showing an enclosed seed (arrow). c: Transverse section (orthoslice xy1200) of fruit showing central column (cc) of placenta and numerous angular and bitegmic seeds; note that the outer integument (black arrow) is thicker than inner integument (white arrow). d: Longitudinal section (orthoslice yz1239) of fruit showing perigynous attachment of calyx, central column (cc) of the placenta and sections through seeds. Specimen, Mira 99-S156331 (a–d). Scale bars = 600 µm (a, c, d), 200 µm (b).
Text-fig. 5. SRXTM images of Miranthus elegans gen. et sp. nov.; Mira locality, Portugal. a, b: Transverse sections of flower (a, orthoslice xy0665 close to the apex of placenta; b, orthoslice xy0800 in middle part of placenta) showing remains of calyx with distinct bundles (arrows), ovary wall (ow) and numerous ovules (ov) on the central mushroom-shaped globose placenta (pl) with central column (cc). c: Transverse section of flower (orthoslice xy0620) through perianth and ovary (ow) at a level above the placenta showing ovules (ov) and cellular preservation of the sepal bundles (arrows shown for one sepal); note abaxial surface of sepals with thick-walled epidermal cells, thick cuticle, and fine pointed verrucae. d: Longitudinal section of flower (orthoslice xz0500) showing perigynous position of calyx and semi-inferior ovary (ow, ovary wall) with a central placenta (pl), central column (cc) and numerous ovules (ov); note spiny verrucae on abaxial surface of calyx lobes. Specimens, Mira 100-S153145 (a, b), Mira 100-S170155 (c, d, holotype). Scale bars = 600 µm (a–d). in Early Flowers Of Primuloid Ericales From The Late Cretaceous Of Portugal And Their Ecological And Phytogeographic Implications
Text-fig. 5. SRXTM images of Miranthus elegans gen. et sp. nov.; Mira locality, Portugal. a, b: Transverse sections of flower (a, orthoslice xy0665 close to the apex of placenta; b, orthoslice xy0800 in middle part of placenta) showing remains of calyx with distinct bundles (arrows), ovary wall (ow) and numerous ovules (ov) on the central mushroom-shaped globose placenta (pl) with central column (cc). c: Transverse section of flower (orthoslice xy0620) through perianth and ovary (ow) at a level above the placenta showing ovules (ov) and cellular preservation of the sepal bundles (arrows shown for one sepal); note abaxial surface of sepals with thick-walled epidermal cells, thick cuticle, and fine pointed verrucae. d: Longitudinal section of flower (orthoslice xz0500) showing perigynous position of calyx and semi-inferior ovary (ow, ovary wall) with a central placenta (pl), central column (cc) and numerous ovules (ov); note spiny verrucae on abaxial surface of calyx lobes. Specimens, Mira 100-S153145 (a, b), Mira 100-S170155 (c, d, holotype). Scale bars = 600 µm (a–d).
Text-fig. 7. SEM (a) and SRXTM (b–e) images of Miranthus kvacekii sp. nov.; Mira locality, Portugal. a: Lateral view of flower bud showing corolla lobes extending beyond calyx; note surface of pedicel, calyx and corolla with small equiaxial epidermal cells and indumentum of densely spaced, short stiff trichomes. b, c: Longitudinal sections through floral bud in two directions perpendicular to each other (a, orthoslice yz1024; b, orthoslice xz0950) showing corolla (co), calyx (ca), stamens (st) and semi-inferior ovary with thin ovary wall (ow) and central mushroom-shaped globose placenta (pl) bearing numerous ovules (ov). d, e: Transverse sections through floral bud above placenta (d, orthoslice xy0915; e, orthoslice xy1095) showing calyx (ca), corolla (co), ovary wall (ow) and ovules (ov); yellow outlines indicate the positions of anthers (d) and filaments (e); orange outlines indicate the position of three of the possible staminodes. Specimen, Mira 100-S170157 (a–e, holotype). Scale bars = 600 µm (a–c), 300 µm (d, e). in Early Flowers Of Primuloid Ericales From The Late Cretaceous Of Portugal And Their Ecological And Phytogeographic Implications
Text-fig. 7. SEM (a) and SRXTM (b–e) images of Miranthus kvacekii sp. nov.; Mira locality, Portugal. a: Lateral view of flower bud showing corolla lobes extending beyond calyx; note surface of pedicel, calyx and corolla with small equiaxial epidermal cells and indumentum of densely spaced, short stiff trichomes. b, c: Longitudinal sections through floral bud in two directions perpendicular to each other (a, orthoslice yz1024; b, orthoslice xz0950) showing corolla (co), calyx (ca), stamens (st) and semi-inferior ovary with thin ovary wall (ow) and central mushroom-shaped globose placenta (pl) bearing numerous ovules (ov). d, e: Transverse sections through floral bud above placenta (d, orthoslice xy0915; e, orthoslice xy1095) showing calyx (ca), corolla (co), ovary wall (ow) and ovules (ov); yellow outlines indicate the positions of anthers (d) and filaments (e); orange outlines indicate the position of three of the possible staminodes. Specimen, Mira 100-S170157 (a–e, holotype). Scale bars = 600 µm (a–c), 300 µm (d, e).
H2020 ENODISE: SISW Numerical Database Configuration C
<p><span>This database contains the acoustic numerical results generated by Siemens Industry Software (SISW) for the propeller configuration C investigated in the framework of the European project ENODISE. </span></p> <p><span><span>This configuration consists of</span> two co-rotating co-axial Mejzlik propellers operating at 6000 rpm without flight stream. The effect of varying the clocking angle between the two propellers is studied as a possible noise mitigation strategy. </span></p> <p><span>The numerical simulations reproduce the conditions of the experimental campaign carried out at von Karman Institute for Fluid Dynamics, Belgium (see H2020 Enodise: Experimental dataset of configuration C with mitigation VKI, <a href="../records/10880751">https://zenodo.org/records/10880751</a>).</span></p>
Chemical, thermodynamic and electromagnetic parameters of electrochemically-stimulated flames (numerical data)
<p><span>Key component concentration fields in the stimulated flames</span></p> <p><span> </span><span>Main impact factors of the electrochemical stimulation and their influence on the NOx generation/suppression/destruction</span></p>
Chemical and thermodynamic parameters of thermal flames (numerical and experimental data)
<p><span>Parameters and characteristics of the high temperature flames for the real environment in the single nozzle atmospheric burner, mini engine afterburner and high-pressure facility</span></p>
Chemical and electromagnetic parameters of NOx-rich gas flow under the influence of multi-frequency electromagnetic field (numerical data)
<p>Metastable and non-stable states lifetime dependence on the exciting electromagnetic field parameters for the quantum series of the main ground state – dissociation consequence.</p> <p>Overtones and main frequencies spectrum and probabilities for NO molecule resonance excitation.</p>
Data for "Numerical simulation study of the evolution of lightning channel decay and reactivation processes" by Zheng et al.
<p>All data of the manuscript "Numerical simulation study of the evolution of lightning channel decay and reactivation processes" submitted to Journal of Geophysical Research: Atmospheres.</p> <p>The data supports the manuscript entitled "Numerical simulation study of the evolution of lightning channel decay and reactivation processes”. Microsoft Notepad can open the *.txt files and the *.DAT files, they contain the channel information of two intracloud flashes (IC1 and IC2) and the channel elctrical parameters at different channel segments. </p> <p>The data can be used freely for scientific purposes with the appropriate citation. </p>
Dataset for an article "Numerical and Experimental Evaluation of Structured Material for Use in Multi-scale Topology Optimization"
<p><span>The dataset contains data from compression mechanical testing of 6 basic truss-based lattice cells with relative density between 0.3 and 0.7 in two directions (parallel and perpendicular to build direction). Additionally, the dataset contains simulation of the experiments by finite element method. Due to a big difference between results from experiment and simulation with nominal material model, parametric material model with Young's modulus set as parameter was used. Resulting Young's moduli that correspond with the experiments are also included. Details can be found in the article: “Numerical and Experimental Evaluation of Structured Material for Use in Multi-scale Topology Optimization”.</span></p>
Acoustic Emission dataset for impact localization: numerical and experimental case studies
<h1>Acoustic Emission dataset for Defect Detection in Aluminum plates</h1> <h2>Simulated data</h2> <h3>File name: Simulation.zip</h3> <p>Simulated AE signals based on a ray-tracing algorithm taking into consideration reflections with the mechanical boundaries of the medium (reflection up to the 4th order), which corresponds to a 1x1x0.003 m square aluminum plate.</p> <p>Each signal has been created by simulating the propagation between a transmitter (Tx, index from 1 to 40) and a Receiver (Rx, index from 1 to 25), grouped by Tx position and saved as a .mat struct ('data') containing the following fields:</p> <ul> <li>data.Rx = 2 x 25 matrix containing in the first and second row the x and y axis of the Rx position</li> <li>data.Rx = 2 x 25 matrix containing in the first and second row the x and y axis of the Tx position</li> <li>data.data = 8000 x 25 matrix containing the transmitted, propagated AE signal from Tx to Rx organized by column. Each AE instance constitutes of 8000 samples acquired at a sampling frequency of 2 MHz (indicated in the file name), one for each Rx given that Tx position.</li> <li>data.Label = 1x25 vector containing the ToA labels associated with each of the 25 Tx-rx pairs (per Tx position) computed by means of the Akaike Information Criterion. </li> </ul> <h2>Experimental data</h2> <h3>File name: Test_x0.xx_y0.yyFs2MHz_1x1x0.003_Al.csv</h3> <p>Experimental data collected with custom AE instrumentation as described in <a href="https://www.mdpi.com/1424-8220/22/3/1091">Ref 1.</a> </p> <p>One single file is a collection of 3 tests (three repetitions of the impact event at the same position), each of them containing three signals acquired simultaneously by three sensors located in proximity of three corners of a 1x1x0.003 aluminum plate having the same geometrical and numerical characteristics of the numerical one. The sensors acquire 5000 samples at a rate of 2 MHz (indicated in the file name) with a pre-trigger window of 1500 samples. The specific coordinates of the sensors are:</p> <ul> <li>s1 [x = 0.05, y = 0.95] m</li> <li>s2 [x = 0.05, y = 0.05] m</li> <li>s3 [x = 0.95, y = 0.05] m</li> </ul> <p>There are 9 files associated with as many impact positions, indicated by the "x0.xx_y0.yy" entry in the file name, with 0.xx and 0.yy corresponding to the x and y coordinate, respectively. Excitation has been provided by means of a waveform generator exciting a 3-cycle sinusoidal wave with central frequency of 250 kHz. More deatils about the electronics and the full setup are provided in the same reference above. </p> <p> </p> <p><em>This research work has been carried out within the Intelligent Sensor Systems Lab@University of Bologna, Italy. </em></p> <p><em>For any needs, warning or curiosities, please contact federica.zonzini@unibo.it</em></p>
Two-dimensional Numerical Simulations of Mixing under Ice Keels Data
<p>This deposition contains time series of relevant outputs from the ice keel simulations. These include:</p> <ol> <li>The buoyancy frequency squared (Nstar_sq)</li> <li>The spatially-average irreversible mixing rate (phi_d)</li> <li>The spatially-averaged dimensionless diapycnal diffusivity (K)</li> <li>The mixing depth (95% of mixing occurs above this depth) in meters (z_mix)</li> <li>The relative mixing depth (z_mix_rel). This differs from the previous quantity as it is relative to the keel depth. That is, if the mixing depth was the keel height then the relative mixing depth would be 0.</li> </ol> <p>The files are formatted to be imported as a dictionary into a Python file via the Json package. The keys are the simulation names. The key values are a tuple with the first value being the time series and the second being an array of times at which the respective values were recorded. All values are separated into upstream and downstream files.</p>
Рис. 2. МежгоΔовое соотношение чисΛенного обиΛия семейств герпетобионтных жесткокрыΛых в пойме (2008–2011 гг.) Fig. 2. Inter-annual ratio of numerical abundance of herpetobiont beetle families in the floodplain (2008–2011) in Population Dynamics For Herpetobiont Beetles (Coleoptera) In The Floodplain Of A Small Tributary In The Lower Reaches Of The Irtysh
Рис. 2. МежгоΔовое соотношение чисΛенного обиΛия семейств герпетобионтных жесткокрыΛых в пойме (2008–2011 гг.) Fig. 2. Inter-annual ratio of numerical abundance of herpetobiont beetle families in the floodplain (2008–2011)
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.