Find research datasets worth reusing

opencc-by-4.0Aug 2024View details →

3-Sulfopropyl acrylate potassium-based polyelectrolyte hydrogels: Sterilizable synthetic material for biomedical application

Hydrogels are extensively used in the biomedical field due to their highly valued properties, biocompatibility and antimicrobial activity and resistance to rheological stress. However, determining an efficient sterilization protocol that does not compromise the functional properties of hydrogels is one of the challenges researchers face when developing a material for a medical application. In this work, conventional sterilization methods (steam-, radiation- and gas sterilization) were investigated regarding the influence on the degree of swelling, mechanical performance and chemical effects on the poly 3-sulfopropyl acrylate potassium (pAESO3) hydrogel, which is a promising representative for biomedical engineering applications. In summary, no significant changes in the gel properties were observed after sterilization, showing the potential of the selected hydrogel for biomedical applications.

Fig. 2 in Morphometry of the teeth of western North American tyrannosaurids and its applicability to quantitative classification

Fig. 2. Schematic illustration of tooth and denticle measurements obtained for this study. Diagram is an outline of tooth specimen TMP 86.130.214. Denticles on tooth outline in lateral (A), basal (B), and enlarged (C) views, not to scale. For measurements, tooth is aligned so that the basal termination of enamel (broken line in A) is approximately horizontal. 1, fore−aft basal length (FABL); 2, tooth crown height (THEIGHT); 3, cross−sectional thickness (XSTHICK); 4, curvature (CURVATUR); 5, distance from the base of the mesial carina to the base of the tooth (DMCTOB); 6, denticle width (DW); 7, denticle height (DH).

Fig. 4. A in Morphometry of the teeth of western North American tyrannosaurids and its applicability to quantitative classification

Fig. 4. A. Ordination plot for PC I versus PC II for the teeth in jaws. B. Ordination plot for PC I versus PC III for the teeth in jaws. C. Ordination plot for PC II versus PC III for the teeth in jaws.

Fig. 1 in Morphometry of the teeth of western North American tyrannosaurids and its applicability to quantitative classification

Fig. 1. Longitudinal section through the crown of a small, broken, tyrannosaurid tooth (TMP 86.130.214, Judith River Group, Campanian, Alberta, Canada). The plane of the break resulted in the loss of the mesial carina, so only the distal carina is preserved on the tooth. A. Enlargement of the area outlined in B shows the enamel and the denticles. B. Photograh of the whole specimen showing dentine (light−colored area).

Fig. 3 in Morphometry of the teeth of western North American tyrannosaurids and its applicability to quantitative classification

Fig. 3. The five major types of teeth found in the tyrannosaurid jaw, Judith River Group, Campanian, Upper Cretaceous, Alberta, Canada. A. Premaxillary, TMP 65.26.3. B, C. Mesial maxillary, MM1 TMP 98.68.65 (B), MM2 TMP 66.31.36 (C). D. Distal maxillary, TMP 85.36.342. E, F. Mesial dentary, MD1 TMP 79.14.538 (E), MD2 TMP 89.79.4 (F). G. Distal dentary, TMP 97.12.43. Cross−sectional shape and location of carinae are as indicated, and are to scale relative to each other. Scale bars 10 mm.

opencc-by-4.0Jun 2023View details →

Fig. 2 in Applications of molecular diagnostics for quality control in rearing of Spodoptera frugiperda (Lepidoptera: Noctuidae) larvae for experimental use

Fig. 2. Relative abundance of diversity of viruses found in the metagenomic analysis of dead and healthy larvae of Spodoptera frugiperda.

opencc-by-4.0Jun 2023View details →

Fig. 1 in Applications of molecular diagnostics for quality control in rearing of Spodoptera frugiperda (Lepidoptera: Noctuidae) larvae for experimental use

Fig. 1. Relative abundance of bacterial diversity found in samples of healthy (LH1 and LH2) and dead larvae (LD1 and LD2) of Spodoptera frugiperda.

Production of hydrochar fuel by microwave-hydrothermal carbonisation of olive pomace slurry from olive oil industry for combustion application

Extended dataset for research article titled “Production of hydrochar fuel by microwave-hydrothermal carbonisation of olive pomace slurry from olive oil industry for combustion application.” It includes the following data files:  (1) Dataset description.txt (provides abbreviations or codes of samples and their properties); Checksum MD5 code = a2fc3f46e9d3ef61f390f93f4a45fa97   (2) Extended dataset v1.0.xlsx (data files for the biochemical, proximate, ultimate, HHV, and mineral characteristics of raw material (two-phase olive pomace slurry) and hydrochars; Checksum MD5 code = 01469e10c1133367d41c5ab5553a9616 (3) 13C Solid NMR data.zip (raw data files for 13C-solid nuclear magnetic resonance analysis of raw material and hydrochars); Checksum MD5 code = dd446a11e92cef9d63ee5e2f5786ee7c (4) TGA-DTA data.zip (raw data for thermal gravimetric analysis of raw material and hydrochars); Checksum MD5 code = 0bb2a59e6cc3c2b3de0492ac057fa626 (5) FTIR data.zip (raw data for fourier transform infrared analysis of raw material and hydrochars); Checksum MD5 code = ff20a5545198ec7b395506ccdd841e82

Pesticide application data and agronomic practices accross Europe and Argentina

A farm survey in 135 farms accross 10 european countries and Argentina was conducted in 2021. Data collected and reported in this database include (i) General information such as the type of farming practice, size of farm and of fields, types of crops and livestock, as well as working capacity (employees). (ii) For a selected one or two fields, a detailed description of the agronomic activities and yield parameters was compiled, which included crop and variety and e.g. position in crop rotation, as well as all crop-specific activities such as tillage, fertilisation, irrigation, pruning, and sowing.  (iii) Activities related to crop protection were requested in detail, including but not limited to the use of PPP formulations and related tools and techniques, and the strategy and motivation of the farm manager for PPP applications. The assessment of the crop protection strategy on the respective fields included variety, dates of PPP applications, product tank mixtures, type of products, product brand name, product distributor, target organisms, mode of action, area treated, quantity of product applied, total volume applied (total tank volume: product and water volume), formulation, active substances and concentrations, technique of application, speed of application, type of nozzles, and costs of products applied. (iv) Soil fertility management assessment included pre-crop, dates of application, types of product and nutrient specifications (NPK, micronutrients) as well as quantities applied. The information on agronomic practices was compiled in a ‘log book’, which listed all agronomic management practices on the respective fields during the whole season from planting/sowing to harvest as well as the underlying assumptions and motivations. (vi) Finally, econometric data included costs of products and yield Raw data was thoroughly screened for completeness, plausibility and data integrity, and revised/supplemented where necessary. Missing/unknown data was tagged and complemented where possible with proxies from e.g. product technical leaflets to allow for subsequent analysis. The data set was further complemented with related publicly available data, such as phenological codes (BSV, 2021.; Schweizerische Eidgenossenschaft, 2021), standard codes for crops and pests (EPPO secretariat, 2022.), mode of action of active substances and resistance risks (FRAC Committee, 2022.; HRAC Committee, 2022.; IRAC Committee, 2022.; Sparks & Nauen, 2015), and application recommendations of PPPs and fertilizers (collection of regional crop-specific or manufacturer-specific technical leaflets). If expenditures for PPPs were not available, costs for PPPs were assessed based on publicly available catalogues issued by manufacturers or regional PPP distributors. Data was also amended by hazard statements of active substances (Burtscher-Schaden et al.,)

Data for: Terrestrial land use signals on groundwater fauna beyond current protection buffers (Ecological Applications, 2024)

Original research article: Knüsel M., Alther R. & Altermatt F. (2024). Terrestrial land use signals on groundwater fauna beyond current protection buffers. Ecological Applications.

A Broadband Fabry-Perot Cavity Antenna for WLAN and V2V Applications

In this paper, a Fabry-Perot cavity (FPC) antenna with a partially reflective surface (PRS) consisting of two dielectric slabs with identical thickness and permittivity to increase the gain with wide bandwidth is presented. The PRS is placed in front of a broadband U-shaped microstrip patch antenna to create an air-filled cavity between the PRS and the ground plane of the antenna structure. The configuration of the two dielectric slabs aims to create a positive phase gradient of the reflection coefficient, which strongly controls the gain bandwidth performance. The proposed PRS was first designed and analyzed using a transmission line model and then verified by a full wave simulation. The measurement results show that the proposed FPC antenna achieves a gain improvement of up to 4 dB compared to the antenna without the PRS, with a 3-dB gain bandwidth of 15.25% and broadside peak gain of 10.43 dBi. In addition, the measured impedance bandwidth is approximately 20.25% and ranges from 5.14 to 6.298 GHz, which covers the required frequency band of wireless local area network (WLAN) and vehicle-to-vehicle (V2V) applications.

opencc-by-4.0Aug 2024View details →

SDR-based IoT Communication Systems: An Application for the DASH7 Alliance Protocol

This repository contains a cabled, indoor (office environment) and an outdoor (suburban) <a href="https://www.dash7-alliance.org/" target="_blank" rel="noopener">DASH7</a> data set. All data sets are formatted as sigmf-data and sigmf-meta files which can be investigated with <a href="https://iqengine.org/" target="_blank" rel="noopener">IQEngine</a>, <a href="https://www.gnuradio.org/" target="_blank" rel="noopener">GNU Radio</a> or <a href="https://www.mathworks.com/products/matlab.html" target="_blank" rel="noopener">MATLAB</a>. The original samples were recorded as complex float 32-bit samples and have been converted to complex signed int 16-bit samples.  Below you can find a more extended description of the data sets. ds_indoor.zip: <ul> <li>Wireless indoor data set </li> <li>10 locations</li> <li>60 packets per location, 10 packets per file pair (SigMF)</li> <li>Fc: 866.5 MHz</li> <li>Sample rate: 7.68 MHz</li> <li>Data type: ci16_le</li> <li>Length: 8 seconds</li> <li>Channel class: Lo-Rate</li> <li>Sync word: 0x0B67</li> <li>3 Lo-Rate channel recordings per location <ul> <li>channel 0 (Fc: 863.0125 MHz),   </li> <li>channel 93 (Fc: 865.3375 MHz), </li> <li>channel 186 (Fc: 867.6625 MHz)</li> </ul> </li> <li>Payload: 3 bytes [0xAB 0xCD] preceded with a counter byte (0-9)</li> </ul>   ds_indoor_cabled.zip: <ul> <li>Cabled indoor data set</li> <li>10 recordings per channel</li> <li>10 packets per file pair (SigMF)</li> <li>Fc: 866.5 MHz</li> <li>Sample rate: 7.68 MHz</li> <li>Data type: ci16_le</li> <li>Length: 4 seconds</li> <li>Channel class: Lo-Rate</li> <li>Sync word: 0x0B67</li> <li>3 Lo-Rate channel recordings per location <ul> <li>channel 0 (Fc: 863.0125 MHz),   </li> <li>channel 93 (Fc: 865.3375 MHz), </li> <li>channel 186 (Fc: 867.6625 MHz)</li> </ul> </li> <li>Payload: 3 bytes [0xAB 0xCD] preceded with a counter byte (0-9)</li> </ul>   ds_outdoor.zip: <ul> <li>Wireless outdoor data set</li> <li>20 locations</li> <li>60 packets per location, 10 packets per file pair (SigMF)</li> <li>Fc: 866.5 MHz</li> <li>Sample rate: 7.68 MHz</li> <li>Data type: ci16_le</li> <li>Length: 8 seconds</li> <li>Channel class: Lo-Rate</li> <li>Sync word: 0x0B67</li> <li>3 Lo-Rate channel recordings per location <ul> <li>channel 0 (Fc: 863.0125 MHz),   </li> <li>channel 93 (Fc: 865.3375 MHz), </li> <li>channel 186 (Fc: 867.6625 MHz)</li> </ul> </li> <li>Payload: 3 bytes [0xAB 0xCD] preceded with a counter byte (0-9)</li> </ul>   flowgraphs.zip: <ul> <li>Contains 4 folders <ul> <li>data_recording <ul> <li>Flowgraphs used to record the I/Q data</li> </ul> </li> <li>data_conversion <ul> <li>Flowgraphs that convert the data to another data type and optionally decrease the length of a data file</li> </ul> </li> <li>DASH7_TX <ul> <li>DASH7 transmitter flowgraph</li> </ul> </li> <li>DASH7_RX <ul> <li>DASH7 receiver flowgraph</li> </ul> </li> </ul> </li> </ul>   gw_logs.zip: <ul> <li>Contains 3 folders <ul> <li>indoor, outdoor, cabled <ul> <li>Contains all the DASH7 gateway logs per measured channel.</li> </ul> </li> </ul> </li> </ul>   locations.zip: <ul> <li>outdoor_locations <ul> <li>Contains a JSON file with the GPS coordinates of 21 locations and the RX location.</li> <li>Cointains a map with all the outdoor locations</li> </ul> </li> <li>indoor_locations <ul> <li>Contains a JSON file with the X and Y coordinates of 21 locations and the RX setup location with respect to a reference point.</li> <li>Cointains a map with all the indoor locations</li> </ul> </li> </ul>

Winter Precipitation-Type Models for "Evidential Deep Learning: Enhancing Predictive Uncertainty Estimation for Earth System Science Applications"

This contains trained model weights, scalers, and evaluation metrics for the winter precipitation-type models trained as part of the paper "Evidential Deep Learning: Enhancing Predictive Uncertainty Estimation for Earth System Science Applications".

User Experience Evaluation of BRI Smart Billing Mobile Application Using System Usability Scale and Heuristic Evaluation

This research aims to evaluate user perceptions of the design and functionality of the BRI Smart Billing Mobile app. Through a questionnaire distributed to active BRI Smart Billing users, this study will identify factors that influence user satisfaction with the visual appearance, layout of elements, and ease of use of features available on the dashboard. The results of this research are expected to provide input to the application developers regarding efforts to improve the quality of digital application services and provide recommendations for improving the design of the BRI Smart Billing Mobile dashboard to be more user-friendly and meet user needs.

APPLICATION SECURITY AND LEAST PRIVILEGE ACCESS IN MODERN DEVOPS

In the context of modern DevOps, application security and the implementation of the principle of least privilege (PoLP) are becoming critical elements aimed at minimizing risks and improving the sustainability of IT systems. This article analyzes approaches to integrating security measures at all stages of the software development lifecycle, starting from the early phases, which reduces the likelihood of vulnerabilities. Special attention is paid to the principle of least privilege, which restricts access by users and system components to only the necessary rights, thereby increasing security and preventing unauthorized access. Strategies for minimizing permissions, ensuring infrastructure protection, and automating security checks in CI/CD pipelines are considered. The challenges associated with the implementation of these principles are also discussed, and ways to overcome them are proposed to improve the security and stability of software solutions.

opencc-by-4.0Mar 2024View details →

Datasets and Codes for "Relative Moment Tensor Inversion for Microseismicity: Application to Clustered Earthquakes in the Cascadia Forearc"

This Zenodo record contains the supplementary datasets and code for the paper titled "Relative Moment Tensor Inversion for Microseismicity: Application to Clustered Earthquakes in the Cascadia Forearc." Datasets <ul> <li>phases.txt     Contains phases used for the event location and moment tensor inversion.     Format: ID,    station,    phase,    year,    month,    day,    secday     ID: Event identifier (same for all files)     station: Station name     phase: 1 for P-wave or 2 for S-wave     secday: Seconds in the day</li> <li>polarity.txt     Contains first motion P polarity used in the study.     Format: ID, station, polarity, trust, type     polarity: 1 for up or -1 for down     trust: Value between 0 and 1, indicating confidence level.     type: E for emergent or I for impulsive     Note that the arrival type has been automatically assigned and not double-checked.</li> <li>relocation.txt     HypoDD relocation file (see hypoDD manual for full description).     Format: ID, LAT, LON, DEPTH, X, Y, Z, EX, EY, EZ, YR, MO, DY, HR, MI, SC, MAG, NCCP, NCCS, NCTP, NCTS, RCC, RCT, CID</li> <li>MT_soluton.txt     Contains all double-couple moment tensor solutions.     Format: ID, strike, dip, rake, mag, kagan_std     mag: Moment magnitude (Mw); "None" if the event is not considered stable     kagan_std: Quality interpretation of the moment tensors using Kagan angle standard deviation, as described in the main paper.</li> </ul>   Codes Future development of the relative moment tensor algorithm will be conducted on GitHub as part of the Marie-Sklodowska-Curie Action relMT funded by the European Union (https://github.com/wasjabloch/relMT) Here are the files in  Codes.zip: <ul> <li>synthetics.zip     Contains codes for performing and testing synthetic moment tensor inversion.</li> <li>relMT.zip     Contains the code for performing moment tensor inversion on real data.</li> <li>intrustion.txt     Contains instructions for setting up and running the codes.</li> <li>environment_MAC.yml     File to create the python environment on a MAC or LINUX machine.</li> <li>environment_WINDOWS.yml     File to create the python environment on a WINDOWS machine.</li> </ul>

Surface wave tomography with transfer learning and Moho constraints: Method and application to China mainland

The content of this study is the inversion of surface waves based on deep learning. The dataset includes the trained deep learning model, dispersion data, synthetic data test results, real data application results,  error analysis, and more detailes.

Enhancing Smartphone Battery Life: A Deep Learning Model Based on User-Specific Application and Network Behaviour

This work presents an analysis based on training AI models directly on devices to make personalized predictions tailored to individual usage patterns, ensuring that each user benefits from a personalized approach to battery management. By integrating these AI-based insights, mobile devices can proactively manage power consumption, improving battery performance and user satisfaction. This personalized, intelligent approach to battery management represents a significant advance in optimizing device efficiency and addresses the growing demand for longer-lasting mobile technology.

opencc-by-4.0Nov 2024View details →

Current Applications and Future Prospects of Artificial Intelligence in Higher Medical Education: A Bibliometric Analysis

This dataset supports the study titled "Current Applications and Future Prospects of Artificial Intelligence in Higher Medical Education: A Bibliometric Analysis". It includes bibliometric data from Web of Science on the use of artificial intelligence in higher medical and pharmaceutical education. The dataset covers relevant literature, keywords, and citation analysis to provide insights into research trends, institutional contributions, and future directions in the field. This data can be valuable for researchers interested in the intersection of AI and medical education, as well as for those conducting further bibliometric analyses.