cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/4p63x5r852.1
title: Dataset on the Impact of Acquisition Temperature Variations on Quantitation Models of a Miniaturized NIR Spectrometer: A Platform for Calibration Transfer

description: The quantification capabilities of miniaturized Near-Infrared (NIR) devices still lag behind those of mature benchtop spectrometers, often failing to meet the required accuracy standards for pharmaceutical analysis unless transferred to a robust calibration on a benchtop device. Several factors, including instrument size, lack of thermal management systems, and operational conditions, make miniaturized devices more susceptible to temperature increases during continuous measurement mode. These temperature variations can contribute to the limited quantitation performance of these devices.

While some vendors suggest performing frequent reference scans to account for temperature variations, this solution may not be feasible for inline applications. To address this issue, this dataset offers a comprehensive examination of the impact of varied spectrometer temperature during the acquisition of reference scans and sample measurements on a pharmaceutical quantitation model.

The experimental samples includes nine pharmaceutical formulations prepared following a constrained mixture design. NIR acquisitions were performed using a MicroNIR PAT 1700 Wireless spectrometer from Viavi Solutions, located in Milpitas, USA, which captures data within the 950–1650 nm range. Reference scans were initially acquired at 40°C, followed by continuous scans of each sample at increasing acquisition temperatures over time, ranging from 38°C to 55°C. Subsequently, reference scans were repeated at 52°C, followed by sample scans within the same temperature range.

Based on the above conditions, the dataset was divided into four subsets, labeled as X1, X2, X3, and X4:

Condition 1 (X1): Dark and reference scans at 40°C. Sample scans at probe temperatures below 46°C.
Condition 2 (X2): Dark and reference scans at 40°C. Sample scans at probe temperatures above 46°C.
Condition 3 (X3): Dark and reference scans at 52°C. Sample scans at probe temperatures below 46°C.
Condition 4 (X4): Dark and reference scans at 52°C. Sample scans at probe temperatures above 46°C.

In pharmaceutical applications, particularly inline processes, the calibration transfer of one subset to another, or to a combination of other subsets, is highly crucial. Therefore, these datasets provide a valuable platform for applying existing or new calibration transfer algorithms, enabling enhanced accuracy and reliability in pharmaceutical analysis.
DOI: 10.17632/tsf9sjdwh2.1
title: Las Vegas Strip

description: This dataset includes quantitative and categorical features from online reviews from 21 hotels located in Las Vegas Strip, extracted from TripAdvisor (http://www.tripadvisor.com). All the 504 reviews were collected between January and August of 2016. The dataset contains 504 records and 20 tuned features (as of “status = included”, from Table 1 of the article mentioned below), 24 per hotel (two per each month, randomly selected), regarding the year of 2015.
DOI: 10.17632/4vk9d975jx.1
title: Codes

description: These files contain the model codes for the article "A Passage to India: Quantifying Internal and External Barriers to Trade," Journal of International Economics.
DOI: 10.17632/ndb6t28xbk.1
title: Comprehensive Dataset of Annotated Rice Panicle Image from Bangladesh

description: This dataset focuses on drone-based rice panicle detection in Gazipur, Bangladesh, offering valuable visual data to researchers in agricultural studies. Captured using an advanced drone with a 4K resolution camera, the dataset comprises 2628 high-resolution images of rice fields, annotated with precision to aid in automated rice panicle identification. Its main purpose is to support the development of algorithms and systems for critical agricultural tasks like crop monitoring and yield estimation, as well as disease identification and plant health evaluation.  The dataset's creation involved extracting frames from drone-recorded video footage and meticulously annotating them using manual and deep learning algorithm.
DOI: 10.17632/phby62rhgv.1
title: A finite-element toolbox for the simulation of solid–liquid phase-change systems with natural convection

description: We present and distribute a new numerical system using classical finite elements with mesh adaptivity for computing two-dimensional liquid–solid phase-change systems involving natural convection. The programs are written as a toolbox for FreeFem++ (www3.freefem.org), a free finite-element software available for all existing operating systems. The code implements a single domain approach. The same set of equations is solved in both liquid and solid phases: the incompressible Navier–Stokes equations with Boussinesq approximation for thermal effects. This model describes naturally the evolution of the liquid flow which is dominated by convection effects. To make it valid also in the solid phase, a Carman-Kozeny-type penalty term is added to the momentum equations. The penalty term brings progressively (through an artificial mushy region) the velocity to zero into the solid. The energy equation is also modified to be valid in both phases using an enthalpy (temperature-transform) model introducing a regularized latent-heat term. Model equations are discretized using Galerkin triangular finite elements. Piecewise quadratic (P2) finite-elements are used for the velocity and piecewise linear (P1) for the pressure. For the temperature both P2 or P1 discretizations are possible. The coupled system of equations is integrated in time using a second-order Gear scheme. Non-linearities are treated implicitly and the resulting discrete equations are solved using a Newton algorithm. An efficient mesh adaptivity algorithm using metrics control is used to adapt the mesh every time step. This allows us to accurately capture multiple solid–liquid interfaces present in the domain, the boundary-layer structure at the walls and the unsteady convection cells in the liquid. We present several validations of the toolbox, by simulating benchmark cases of increasing difficulty: natural convection of air, natural convection of water, melting of a phase-change material, a melting-solidification cycle, and, finally, a water freezing case. Other similar cases could be easily simulated with this toolbox, since the code structure is extremely versatile and the syntax very close to the mathematical formulation of the model.
DOI: 10.17632/tzncbsfgkk.1
title: Neutralization of SARS-CoV-2 Delta variant is increased after heterologous ChAdOx1 nCoV-19/BNT162b2 versus homologous BNT162b2 vaccination

description: We provide data on immunogenicity of heterologous ChAd/BNT vaccination in comparison to homologous BNT/BNT immunization and show that the heterologous regimen increases live virus neutralization capacity of the SARS-CoV-2 Delta VOC in female participants, especially those with more severe side effects leading to sick leave after second vaccination. IgA levels in both vaccine regimens were overall low, but higher after BNT/BNT vaccination.
DOI: 10.17632/6z9djdnhdx.1
title: Foreign Direct Investment at the provincial level in Vietnam using an integrated MCDM and DEA model

description: Foreign direct investment (FDI) is an important factor in building a strong economy for a country, particularly in developing and emerging markets. There is a need for a functional model to assess how the competitive index affects FDI attractiveness. Therefore, this study aims to conduct an integrated model of Grey Delphi, Data Envelopment Analysis Super Slack-Based Measure Model (DEA-Super SBM), and Malmquist Model (DEA-Malmquist) to evaluate the FDI attractiveness of Vietnamese provinces from 2017 to 2021. Firstly, ten critical dimensions of the provincial competitive index (PCI) affecting the number of FDI by cases and amount of FDI capital were validated via the Grey Delphi method. Secondly, the Super-SBM model is applied to assess the FDI efficiency of 63 provinces in Vietnam from 2017 to 2021. Then, the DEA-Malmquist model is employed to analyze the total change in the productivity of 63 provinces’ FDI performance in Vietnam. The findings of this study revealed how effective each province is at attracting FDI and how close it is to being considered efficient. Simultaneously, the change in efficiency over time was also conducted. Furthermore, this study can provide valuable insights for policymakers and other stakeholders in developing effective strategies to attract FDI and foster economic development.
DOI: 10.17632/csvhpkt8tm.2
title: Commercial Spyware Global Inventory

description: Global inventory of commercial spyware procured by governments. Focuses on three overarching questions: Which governments show evidence of procuring and employing commercial spyware against domestic actors? Which private sector companies are involved? Are the operations being carried out pursuant to a repressive agenda – do they violate “principles of legality, necessity, proportionality and legitimacy in objective?” Source material derives from The Citizen Lab, Freedom on the Net, Privacy International, the Council on Foreign Relations’ Cyber Operations Tracker (CFR), and the Electronic Frontier Foundation (EFF) and also includes data from major print and news media outlets (e.g., The New York Times, Reuters, Haaretz, Financial Times, The Wall Street Journal). Because of attribution challenges and the difficulty of pinpointing intrusion operations within a specified timeframe, I aggregated observations between 2011 and 2020. Updated September 13, 2020.
DOI: 10.17632/xfj44jnnt7.1
title: PyroLab and AutoGator Optical Probe Station

description: The expanding field of silicon photonics has demanded the use of highly precise and expensive equipment to characterize and test fabricated research devices. The cost of commercially available systems may be prohibitively expensive under the constraints of many research or academic settings. While homegrown solutions exist, the required, resource-hungry hardware can overwhelm lower-spec computers. Additionally, hardware resources shared between experimental setups sometimes requires the use of multiple computers to probe a chip effectively. Making matters worse, proprietary SDKs are often poorly documented, making the supporting code time consuming to write and difficult to maintain and port between projects. Researchers in this field have been forced to either deal with the inconvenience of an incohesive system or pay for an all-in-one package, offered by some companies, at significant cost and inflexibility. In this paper we present and demonstrate an open-source hardware and software solution for a photonic probe station with device drivers distributed across a network and aggregated by individual clients. We present two Python packages, PyroLab and AutoGator, that enable end users to remotely access probe stations and their respective hardware to organize and run automated tests on photonic chips. The open-source software and hardware combine to give silicon photonic researchers a relatively inexpensive way of probing photonic circuit elements in a controlled and systematic way. This repository contains hardware designs and recommendations for assembling and controlling a photonic integrated circuit (PIC) test station using PyroLab and AutoGator. It also contains a detailed bill of materials with links to commercial products.
DOI: 10.17632/k3b363f3vz.1
title: Composite Dataset of Lumbar Spine Mid-Sagittal Views with Automated Spinal Measurements

description: This composite dataset comprising of mid-sagittal views of lumbar spine is composed of images of lumbar spine with ground truth images duly labelled/annotated as well the spinal measurements. The purpose of creating this dataset was to establish a strong correlation in the images with the spinal measurements being clinically relevant. Presently, these measurements are being taken either completely through manual methods or by the use of computer assisted tools. The spinal measurements are clinically significant for a spinal surgeon before suggesting or shortlisting suitable surgical intervention procedure. Traditionally, the spinal surgeon evaluates the condition of the patient before surgical procedure in order to ascertain the usefulness of the adopted procedure. It also helps the surgeon in establishing a relation regarding effectiveness of the procedure adopted. For example, in case of spinal fusion procedure, will the fusion procedure be able to restore the spinal balance is a question for which the answered is obtained through making relevant spinal measurements, including lumbar lordotic curve angle, both segmental and for whole lumbar spine, lumbosacral angle, spinal heights, dimensions of vertebral bodies etc. The Composite Dataset is acquired in following steps:- 1. Exporting mid-sagittal view from the MRI dataset. (Originally taken from Sudirman, Sud; Al Kafri, Ala; natalia, friska; Meidia, Hira; Afriliana, Nunik; Al-Rashdan, Wasfi; Bashtawi, Mohammad; Al-Jumaily, Mohammed (2019), “Label Image Ground Truth Data for Lumbar Spine MRI Dataset”, Mendeley Data, V2, doi: 10.17632/zbf6b4pttk.2) 2. Manual labelling of lumbar vertebral bodies from L1 to L5 and first sacrum bone. Total 6 regions were labelled in consultation with expert radiologists followed by validation by expert spinal surgeon. 3. Performing fully automatic spinal measurements, including, vertebral bodies identification and labelling, lumbar height, lumbosacral angle, lumbar lordotic angle, estimation of spinal curve, intervertebral body dimensions, vertebral body dimensions. All the angular measurements are in degrees, whereas the distance measurements are in millimeters. A total of 514 images with spinal measurements can be downloaded with request to please cite out work in your research.
DOI: 10.17632/8vx7wwcftp.1
title: Data for: Framing as a strategy in corporate political activity: Insights from the food industry lobby against the sugar tax in Ireland.

description: Food industry submissions against the 2018 Irish sugar tax Template analysis Document analysis
DOI: 10.17632/4z748jnnjs.2
title: Consumer WTP for Sustainability Attributes in Beer

description: Estimation data from a targeted nationally representative sample eliciting consumer willingness to pay for sustainability attributes in beer. Different eco-labels are used to depict different aspects of sustainability including: water use, energy use, and landfill diversion. The survey was constructed in Qualtrics and distributed using Kanter. We collect information on demographic characteristics, beer buying/drinking behavior, and sustainability preferences, alongside a choice experiment. We find that consumers are willing to pay a price premium for sustainability attributes in beer (under all model specifications).
DOI: 10.17632/7hv9mtdvmp.1
title: DiracSolver: A tool for solving the Dirac equation

description: Advantageous numerical methods for solving the Dirac equations are derived. They are based on different stochastic optimization techniques, namely the Genetic algorithms, the Particle Swarm Optimization and the Simulated Annealing method, their use of which is favored from intuitive, practical, and theoretical arguments. Towards this end, we optimize appropriate parametric expressions representing the radial Dirac wave functions by employing methods that minimize multi parametric expressions in several physical applications. As a concrete application, we calculate the small (bottom) and large (top) components of the Dirac wave function for a bound muon orbiting around a very heavy (complex) nuclear system (the 208Pb nucleus), but the new approach may effectively be applied in other complex atomic, nuclear and molecular systems.
DOI: 10.17632/npsyv38f6t.1
title: Data for: Bacterial GMGTs in East African lake sediments: Their potential as palaeotemperature indicators

description: Raw data for East African lake surface sediment data set. Includes lake data, GDGT peak areas and relative abundances.
DOI: 10.17632/w94jndtmpr.1
title: Data for: Mining multiple association rules in LTPP database: an analysis of asphalt pavement thermal cracking distress

description: MATLAB Codes and original data for Apriori
DOI: 10.17632/t395bwcvbw.1
title: Image Dataset for Roadway Flooding

description: Flood-prone communities e.g. coastal areas experience frequent flooding due to storm surge, heavy rain and sea level rise. This dataset consists of 441 annotated roadway flood images that can be used as training samples to train computer vision based flood detection algorithms.
DOI: 10.17632/x6x5jkk873.2
title: A novel groundnut leaf dataset for detection and classification of groundnut leaf diseases

description: The image of the groundnut leaves was collected from the agricultural land of Ramchandrapur village in Purba Medinipur district of West Bengal, India, Pin: 721429, which is both healthy and infected with Leaf spot (early and late), Alternaria leaf spot, Rust, and Rosette. The dataset contains 1,720 jpg images in 4624 × 3472 pixel format, each labelled with the image number and the name of the image. Data were uploaded to the repository in 5 distinct folders: 1 folder for healthy data, 1 folder for Leaf spot (early and late), 1 folder for Alternaria leaf spot, 1 folder for Rust, and 1 folder for Rosette diseases. In addition, each folder's name reflected the associated image class. The HEALTHY folder comprises a collection of images depicting groundnut leaves in a healthy condition. The LEAF SPOT (EARLY AND LATE) folder contains images of groundnut leaves affected by Leaf spot (early and late). The folder titled ALTERNARIA LEAF SPOT contains images depicting groundnut leaves that have been infected by Alternaria leaf spot. The RUST folder comprises images of groundnut leaves infected by Rust disease. The ROSETTE folder contains images of groundnut leaves infected by Rosette disease. The images were divided into distinct directories to facilitate the process of sharing and downloading data.
DOI: 10.17632/44mmhkgjyn.1
title: UNIMOL: A program for Monte Carlo simulation of RRKM unimolecular decomposition in molecular beam experiments

description: Abstract Title of program: UNIMOL Catalogue number: AAoA Program obtainable form: CPC Program Library, Queen's University of Belfast, N. Ireland (see application form in this issue) Computer: IBM 3033N; Installation: Gothenburg Universities' Computing Centre Operating system: OS MVS-SP1, JES2 Programming language used: FORTRAN High speed storage required: 120832 words No. of bits in a word: 32 Overlay structure: none Peripherals used: card reader, line printer, card punch No of cards in combined progr... Title of program: UNIMOL Catalogue Id: AAOA_v1_0 Nature of problem Reactive and nonreactive absolute angular distributions are measured in crossed molecular beam experiments. Absolute cross sections and branching ratios can be determined in the experiment only with some form of simulation algorithm. Versions of this program held in the CPC repository in Mendeley Data AAOA_v1_0; UNIMOL; 10.1016/0010-4655(82)90074-1 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
DOI: 10.17632/k37fwxgtvw.1
title: Data repository for "A petrogenetic study of apatite in Chang’E-5 basalt: implications for high sulfur contents in lunar apatite and volatile estimations for the lunar mantle"

description: This is the data repository for the paper entitled "A petrogenetic study of apatite in Chang’E-5 basalt: implications for high sulfur contents in lunar apatite and volatile estimations for the lunar mantle" by Huijuan Li and coauthors. The sample studied (CE5C0800YJYX013GP) is provided by the China National Space Administration (CNSA). It contains two basaltic clasts set in a one-inch epoxy mount. This data repository includes compositional data for apatite and melt inclusions acquired using Electron Microprobe, relevant literature data on apatite and melt inclusions from lunar samples plotted in figures, and an EXCEL sheet displaying the fractional crystallization modeling performed to reproduce the volatile zoning in apatite. Different from apatite from Apollo mare basalts, apatite compositions reported here have low F and high Cl and S (up tp 3000 ppm) characteristics. This study presents an explanation for such high Cl and S contents in apatite and implications for volatile estimations in the CE5 lunar mantle.
DOI: 10.17632/8wh5whwbmr.1
title: Data for: Investment Cost Optimization for Industrial Project Portfolios using Technology Mining

description: Python code for Simulation
DOI: 10.17632/s3mfjxcg68.1
title: Multi-Fake-DetectiVE

description: The dataset includes social media posts and news articles, containing both a textual and a visual component, concerning the Ukrainian-Russian war started in February 2022. The dataset was collected to perform two distinct sub-tasks: Multimodal Fake News Detection, and Cross-modal Relation Classification in fake and real news. Given a piece of content (e.g., a social media post or a news article) that includes both a visual and a textual component, the first sub-task aims to detect if the content is a real or a fake news. The second sub-task aims to understand how the visual and textual components of news can influence each other. Given a text and an accompanying image, the sub-task intends to determine whether the combination of the two aims to mislead the interpretation of the reader about one or the other, or not. The data to be used for the two sub-tasks are stored in two separate sub-folders. Each sub-folder includes: (i) a training set, which contains data collected from February 2022 to September 2022, (ii) a contemporary test set, which includes data collected in the same time window as the training set, and (iii) a future test set, which contains data collected in a subsequent time window, specifically from October 2022 to December 2022.
DOI: 10.15468/dl.xu5tuu
title: Occurrence Download

description: A dataset containing 696 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Prunus mexicana S.Watson",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 696 records from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009325-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/25d6tvdxnw.2
title: Data for: Profiling and Analysis of Control Rod Speed Design on Core Power Control for TRIGA Reactor

description: The control rod speed design (CRSD) for core power control has been designed with the actual control rod drive mechanism (CRDM) model by considering the different type of saturations (hard saturation, soft saturation and sigmoid saturation), changes in the maximum control rod speed limiter and reactivity worth curve (experimental data) to predict the best response reactivity insertion rate for operating TRIGA research reactor. The new CRSD (nCRSD) model has been integrated with existing PI-type power controller to study the effects control performance (including small settling time, smoothness control surface during transient, small chattering error during steady-state and actuation signal for CRDM) of the proposed model. The effectiveness of the proposed method is tested by numerical simulations (Matlab/Simulink) and verified with experimental data from real plant by comparing the results with the conventional CRSD (cCRSD based on hard saturation and slow control rod speed).