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hybrid · semantic + lexical · 3 datasets ranked · 4.87s

Structuretabular3
Depthmeasured3
Licenseopen3
Accessopen3
Formatcsv2docx1jpeg1parquet1
Sourcezenodo2zenodo-bio1
clear
1-3 of 3sortrelevancemeasured firstqualitysize
tabular

On the impact of the turbulent grazing flow development on the acoustic response of an acoustic liner

0.00
zip1

Paduano, Angelo · Scarano, Francesco · Casalino, Damiano · et al.

200 rows × 10 cols · 39 KB · csv, jpeg

10 numeric

The interaction between acoustic waves and turbulent grazing flow over an acoustic liner is investigated using Lattice-Boltzmann Very-Large-Eddy simulations. A single-degree-of-freedom liner with 11 streamwise-aligned cavities is studied in a grazing flow impedance tube. The conditions replicate reference experiments from the Federal University of Santa Catarina. The influence of grazing flow (with a centerline Mach number of 0.32), acoustic wave amplitude, frequency, and propagation direction relative to the mean flow is analysed. Impedance is computed using both direct (i.e. the in-situ method) and model-fitting inference (i.e. the mode-matching method) methods. The former reveals strong spatial variations; however, averaged values throughout the sample show minimal differences between upstream and downstream propagating waves, in contrast to what is obtained with the latter method. Flow analyses reveal that the orifices displace the flow away from the face sheet, with this effect amplified by acoustic waves and dependent on the wave propagation direction. Consequently, the boundary layer displacement thickness ($\delta^*$) increases along the streamwise direction compared to a smooth wall and exhibits localised humps downstream of each orifice. The growth of $\delta^*$ alters the flow dynamics within the orifices by weakening the shear layer at downstream positions. This influences the acoustic-induced mass flow rate through the orifices at equal Sound Pressure Level, suggesting that acoustic energy is dissipated differently along the liner. The asymmetry of the flow field experienced by the acoustic wave, depending on its propagation direction, highlights the need to consider a spatially evolving turbulent flow when studying the acoustic-flow interaction and measuring impedance.

open·CC-BY-4.0·Zenodo·0% null·completeSource
tabular

Microbiota study IgG4-RD AG Chang

0.00

Budzinski, Lisa · Beenken, Anne Elisabeth · Sempert, Toni · et al.

9 rows × 1 cols · 743 B · csv, docx, zip

1 categorical

We have investigated an IgG4-RD (IgG4-RD) cohort by our multi-parameter microbiota flow cytometry approach to characterise the microbiota on single-cell level for attributes of the disease. The microbiota is isolated from stool samples and stained according to the published protocol for (a) host immunoglobulins IgA1, IgA2, IgM, IgG and (b) agglutinin binding to mannose, galactose or N-Acetyl-glucosamine surface sugar moieties. For all samples we also determined the microbiome composition by 16S rRNA (V3-V4) sequencing on the illumina MiSeq platform. We provide the raw .fcs and FASTQ files of 40 IgG4-RD patients. For comparison we additionally analysed 36 healthy donors. All .fcs files were generated on BD Influx®. The metadata is collected in the provided meta.csv. The staining parameters are summarized in provided panel.csv.

open·CC-BY-4.0·zenodo-bio·0% null·completeSource
tabular

Generated ASO features for the OligoAI dataset

0.00

Kovaliov, Michael

1 files · 100 MB · parquet

open·CC-BY-4.0·Zenodo·completeSource
closeopen full
tensor · erddap-coastwatch-central-sst

Sea-Surface Temperature, NOAA ACSPO Daily Global 0.02° Gridded Super-collated SST and Thermal Fronts, Near Real-time, Daily (L3S-LEO Kelvin)

measured·open·1 file
Measuredstructure observed by touching the bytes
topology
tensor
sampled
full dataset
size
17 KB
profiler
tensor:scipy/v1
arrays
4
subtype
grid
Arrays
arrayshapedtypendim
sea_surface_temperature1 × 50 × 50>f43
latitude50>f41
longitude50>f41
time1>f81