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opencc-by-4.0Oct 2022View details →

Composition and electrical resistance results of a Ir-Pd-Pt-Rh-Ru composition spread thin film materials library

The dataset contains the results of electrical resistance measurement and composition analysis of a thin film composition spread materials library.  342 measurement areas were evaluated for chemical composition using energy dispersive X-ray spectroscopy and electrical resistance using a 4-point probe. CSV columns: x: x-coordinate of materials library in µm y: y-coordinate of materials library in µm Ir: relative chemical composition in at.% Pd: relative chemical composition in at.% Pt: relative chemical composition in at.% Rh: relative chemical composition in at.% Ru: relative chemical composition in at.% Resistance: electrical resistance in Ohm   This dataset is supplementary information for an associated publication. A link to the publication will be provided after publishing.

Fig. 9 in An optimised YOLOv4 deep learning model for efficient malarial cell detection in thin blood smear images

Fig. 9 Overall framework of proposed automated malaria diagnosis and species identification. CNN, Convolutional neural network; RBC, red blood cell; YOLO, You Only Look Once (model)

Fig. 8 in An optimised YOLOv4 deep learning model for efficient malarial cell detection in thin blood smear images

Fig. 8 Examples of false positive predictions by the YOLOv4-RC3_4 model. YOLO, You Only Look Once (model)

Fig. 6 in An optimised YOLOv4 deep learning model for efficient malarial cell detection in thin blood smear images

Fig. 6 Comparison of detection performance by the original YOLOv4 model and the YOLOv4-RC3_4 model. Red arrows indicate cells not detected by the original YOLOv4 model, green arrows indicate the same cells detected by the YOLOv4-RC3_4 model. YOLO, You Only Look Once (model)

Fig. 3 in An optimised YOLOv4 deep learning model for efficient malarial cell detection in thin blood smear images

Fig. 3 Network structure of YOLOv4. CSP, cross-spatial connection; SPP, spatial pyramid pooling layer; PANet, Path Aggregation Network; CBM, Convolutional, Batch Normalisation, and Activation; CBL, Convolutional, Batch normalisation, and Leaky-ReLU; Conv, convolutional; Concat, concatenation

Fig. 4 in An optimised YOLOv4 deep learning model for efficient malarial cell detection in thin blood smear images

Fig. 4 Building blocks of the residual learning module. CBM, Convolutional, Batch normalisation and Mish (modules)

Fig. 5 in An optimised YOLOv4 deep learning model for efficient malarial cell detection in thin blood smear images

Fig. 5 Visual representation of the removal of residual blocks from C3 and C4 Res-block body. YOLO,You Only Look Once (model)

Fig. 1 in An optimised YOLOv4 deep learning model for efficient malarial cell detection in thin blood smear images

Fig. 1 Comparison of malaria diagnosis using deep learning CNN models and deep learning object detectors. CNN, Convolutional neural network

Fig. 2 in An optimised YOLOv4 deep learning model for efficient malarial cell detection in thin blood smear images

Fig. 2 Cropping of infected cells using the coordinates of predictions by the object detectors. RBC, Red blood cell; YOLO,You Only Look Once (model)

Exceptional electronic transport and quantum oscillations in thin bismuth crystals grown inside van der Waals materials

Confining materials to two-dimensional forms changes the behavior of electrons and enables new devices. However, most materials are challenging to produce as uniform thin crystals. Here, we present a synthesis approach where thin crystals are grown in a nanoscale mold defined by atomically-flat van der Waals (vdW) materials. By heating and compressing bismuth in a vdW-mold made of hexagonal boron nitride (hBN), we grow ultraflat bismuth crystals less than 10 nanometers thick. Due to quantum confinement, the bismuth bulk states are gapped, isolating intrinsic Rashba surface states for transport studies. The vdW-molded bismuth shows exceptional electronic transport, enabling the observation of Shubnikov–de Haas quantum oscillations originating from the (111) surface state Landau levels. By measuring the gate-dependent magnetoresistance, we observe multi-carrier quantum oscillations and Landau level splitting, with features originating from both the top and bottom surfaces. Our vdW-mold growth technique establishes a platform for electronic studies and control of bismuth’s Rashba surface states and topological boundary modes. Beyond bismuth, the vdW-molding approach provides a low-cost way to synthesize ultrathin crystals and directly integrate them into a vdW heterostructure.

opencc-by-4.0Feb 2023View details →

parallel-fibered bone; A5, osteocyte lacunae with well-preserved canaliculi; B3, osteocyte lacunae lacking canaliculi; B4, B5, growth pattern with preserved residuals of the thick annuli and zones (zo I–III) and thin annuli and zones (zo IV–VII); A6, growth pattern with preserved thin annuli and thick zones (zo I–IV), the dotted line marks the border between the perimedullary region and the cortex. Arrows in A5 and B3 indicate osteocyte lacunae; in B4, B5, and A6 indicate the annuli. Growth pattern in B4 figured on the lateral section side, in B5 and A5 on the ventral side; note the cortex thickness variation between B4 and B5. A1, A3, A4, A6, B1, B4, B5 in polarized light and A2, A5, B2, B3 in normal transmitted light. Abbreviations: an, annulus; ec, erosion cavity; pmr, perimedullary region; pos, primary osteon; sos, secondary osteon; zo, zone. in Palaeohistology helps reveal taxonomic variability in exceptionally large temnospondyl humeri from the Upper Triassic of Krasiejów, SW Poland

parallel-fibered bone; A5, osteocyte lacunae with well-preserved canaliculi; B3, osteocyte lacunae lacking canaliculi; B4, B5, growth pattern with preserved residuals of the thick annuli and zones (zo I–III) and thin annuli and zones (zo IV–VII); A6, growth pattern with preserved thin annuli and thick zones (zo I–IV), the dotted line marks the border between the perimedullary region and the cortex. Arrows in A5 and B3 indicate osteocyte lacunae; in B4, B5, and A6 indicate the annuli. Growth pattern in B4 figured on the lateral section side, in B5 and A5 on the ventral side; note the cortex thickness variation between B4 and B5. A1, A3, A4, A6, B1, B4, B5 in polarized light and A2, A5, B2, B3 in normal transmitted light. Abbreviations: an, annulus; ec, erosion cavity; pmr, perimedullary region; pos, primary osteon; sos, secondary osteon; zo, zone.

Translaminar Fracture in a Mini-Protruded Compact Tension Specimen: A Dataset of Micro-Scale Tomograms of a Thin-Ply Carbon Fibre-Epoxy Composite acquired via Synchrotron Radiation Computed Tomography During In-Situ Loading

In this study, we developed a scaled-down “mini-protruded compact tension specimen” to facilitate in-situ tensile testing coupled with synchrotron radiation computed tomography (SRCT). This innovative design provides valuable insights into in-situ translaminar damage mechanisms, significantly enhancing the accuracy of data used in finite element models. The specimen is made of HS40 carbon fibres and ThinPregTM 736LT epoxy resin, with the layup of [902/0/902/0/902/0/902]. The translaminar fracture experiments were conducted under continuous loading and scanning using ultra-fast SRCT at the Swiss Light Source (SLS) TOMCAT beamline (Paul Scherrer Institut in Villigen, Switzerland). A polychromatic beam with an energy of 24 keV was used. The achieved voxel size was 800 nm, and 1000 projections per scan and 2 ms exposure time were acquired per scan. The GigaFRoST camera served as the detector. The scans were reconstructed into 3D volumes using the SLS’s in-house absorption-based algorithm (Gridrec) for critical loading steps during a test—both before and after a load drop (detailed in the accompanying Excel file). The tensile loading was exerted on the specimen at a rate of 0.2 mm/min until failure during scanning with the Deben CT500.

ImpactX+MADX input and output files for a thin-kick model of the FNAL Booster

Input and output files for a thin-kick model of the Fermilab Booster ring in MAD-X (expressed in SXF format), together with a Python script to parse and run ImpactX using the SXF lattice file.

Unveiling the nanomorphology of HfN thin films by UXRD

Abstract: Hafnium Nitride (HfN) is a promising and very robust alternative to gold for applications of nanoscale metals. Details of the nanomorphology related to variations in strain states and optical properties can be crucial for applications in nanophotonics and plasmon-assisted chemistry. We use ultrafast reciprocal space mapping (URSM) with hard x-rays to unveil the nanomorphology of thin HfN films. Static high-resolution x-ray diffraction reveals a twofold composition of the thin films being separated into regions with identical lattice constant and similar out-of-plane but hugely different in-plane coherence lengths. URSM upon femtosecond laser excitation reveals different transient strain dynamics for the two respective Bragg peak components. This unambiguously locates the longer in-plane coherence length in the first 15nm of the thin film adjacent to the substrate. The transient shift of the broad diffraction peak displays the strain dynamics of the entire film, implying that the near-substrate region hosts nanocrystallites with small and large coherence length, whereas the upper part of the film grows in small columnar grains. Our results illustrate that URSM is a suitable technique for non-destructive investigations of the depth-resolved nanomorphology of nanostructures.  This dataset contains all raw data, data evaluation and plot scripts used in the linked publication. The data.rar archive contains 8 folders, linked to the ellipsometry, the optical pump-probe and the static as well as the time-resolved X-ray diffraction measurements. The latter also contains the scripts for the one-temperature- and linear-chain-model written in Matlab and Python. Also, there is one folder for each figure in the publication in which the plotted data and the plot script is saved.

opencc-by-4.0May 2024View details →

Raman spectra of Co3O4 and ZnO thin layers on Si

The Raman spectra were recorded on samples consisting of a zinc oxide (ZnO) layer, a cobalt oxide (Co3O4) layer, and a silicon (Si) substrate. The thickness of the layers is as follows: 70 nm, 15 nm, and 200 µm. The sample was annealed at 400°C for 30 minutes. The Raman measurements were conducted using a T64000 Horiba Jobin-Yvon spectrometer at room temperature, operating in a single subtractive operation mode with an entrance slit width of 0.1 mm. For excitation, the 514.5 nm line of an Ar+ laser was utilized. Detection was performed using a silicon CCD camera cooled with liquid nitrogen.

Optimized atomic structures of thin Ag films on Pt(111) and Pd(111) surfaces

VASP coordinate files of thin Ag films on Pt(111) and Pd(111) surfaces and the summary spreadsheet of corresponding energies.

opencc-by-4.0Feb 2024View details →

The effects of increased thermal insulation in timber-framed external walls with thin gypsum board as a wind barrier - Dataset

This dataset includes measured data from the field measurement of four timber-framed exterior wall constructions. All the walls were equipped with gypsum board wind barrier having a minimal thermal resistance. Insulation thicknesses of 150 mm and 300 mm, demonstrating a moderate and a very effective levels of thermal insulation, were compared. Wooden cladding and brick veneer were compared as façade materials. Measurements were done in a test building of Tampere University, Tampere, Finland. The coordinates of the campus are 61°27' N, 23°52’ E. Ground height at test building site is approximately 135 m above sea level. The site is rather protected area, with the modest wind and driving rain load.  The test was performed between 13 September 2020 and 30 November 2021.

opencc-by-4.0Jul 2024View details →

Model outputs from "Holocene thinning in central Greenland controlled by the Northeast Greenland Ice Stream"

Two-dimensional outputs of the best Yelmo model simulation within the ensemble presented in the manuscript by Tabone et al., 2024, titled "Holocene Thinning in Central Greenland Controlled by the Northeast Greenland Ice Stream," published in Nature Communications. For more information, please contact the authors and read the paper.

opencc-by-4.0Jul 2024View details →

Strain rate sensitivity of a Cu/Al2O3 multi-layered thin film

AD: as deposited HT: heat treated Samples P01-16 : ~4.0 um wide pillars Samples P01-09 : ~2.9 um wide pillars Pillar dimensions and deformation properties are included in the Excel file. The supplied mechanical data is compliance and baseline (drift) corrected.