cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/y98rmtf2py
title: Dataset on cloud-enabled storage services

description: This is analytical proofs and raw data for research article, “The Role of Protection Motivation in the Adoption of Cloud-enabled Storage Service”. The original article aimed to investigate how the threat of data loss influences an individual’s intention to adopt cloud-enabled storage service as protection against data loss. This article includes analytical proofs, psychometric details of the measures and measurement items, analytic tables-related to the original article and raw data. Files included are as follows.

○	File 1
- Title: Details of prior studies (2009 to 2019) on the adoption of cloud-enabled storage at individual level
- Description: This file presents a review of twenty-three studies (2009 to 2019) that focused on   
  the adoption of cloud-enabled storage service at the individual level.
○	File 2
- Title: Details of prior on applications of PMT in IS and IT areas 
- Description: This file presents a review of forty-seven studies (2009 to 2019) of PMT in IS/IT 
  research areas.
○	File 3
- Title: Measurement items
- Description: This file reports psychometric details of the measures and measurement items 
  used in the original research article.
○	File 4
- Title: Sample characteristics
- Description: This file reports the demographic characteristics of the respondents.
○	File 5
- Title: raw data for empirical analytics
- Description: This file contains raw data for the original study: 392 samples were used for its 
  final analysis. This data were collected through an online survey in South Korea.
DOI: 10.17632/5v6g22v3vr
title: Research in atomic structure: A configuration interaction program with relativistic corrections

description: Abstract The RIAS computer program implements the recent formulation for the evaluation of the matrix elements of the complete atomic Hamiltonian operator (S. Fraga et al., Phys. Rev. A 34 (1986) 23). The SL, J or F levels may be obtained by diagonalization of the interaction energy matrix constructed from appropriate SM_S LM_Lfunctions. The program allows for accurate determination of the energy levels of any neutral or ionized atomic system. Title of program: RIAS Catalogue Id: ABBB_v1_0 Nature of problem Determination of the energy levels of any neutral or ionized atomic system. CORRECTION SUMMARY: Vol:Year:Page 52:1989:445 "000ACORRECTION 07/09/88" "Research in atomic structure: a configuration interaction program with relativistic corrections. (C.P.C. 47(1987)159)." S. Fraga; M. Klobukowski; J. Muszynska; K.M.S. Saxena; J.A. Sordo; J.D. Climenhaga; P. Clark Note: correction instructions are contained in source code Versions of this program held in the CPC repository in Mendeley Data ABBB_v1_0; RIAS; 10.1016/0010-4655(87)90075-0 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
DOI: 10.17632/7rv9wg3ksd
title: Multi-Source Agricultural Image Dataset for Robust Classification and Semantic Segmentation

description: This dataset includes images of various agricultural items, grouped into four main categories: crops and grains, flowers, fruits, and vegetables. Each folder contains subcategories named using standard, widely understood English terms to support easy use in machine learning tasks.

In total, there are over 4,900 .jpg images, each resized to 512×512 pixels. Every subcategory includes 70 images, making the dataset consistent and balanced.

Highlights:

--4 primary categories

--70+ subcategories

--All images in .jpg, sized to 512×512

--Labels use consistent English naming 

Use Cases:

--Training image classifiers for fruits, vegetables, and flowers

--Supporting agricultural and botanical research

--Educational projects or resource-efficient AI systems

This dataset is suitable for both research and practical applications in agriculture and Arttificial Intelligence.
DOI: 10.4121/14604330.v1
title: Associated data underlying the article "Comparing open data benchmarks: which metrics and methodologies determine countries’ positions in the ranking lists?"

description: An understanding of the similar and divergent metrics and methodologies underlying open government data benchmarks can reduce the risks of the potential misinterpretation and misuse of benchmarking outcomes by policymakers, politicians, and researchers. Hence, this study aims <i>to compare the metrics and methodologies used to measure, benchmark, and rank governments' progress in open government data initiatives. </i>Using a critical meta-analysis approach, we compare nine benchmarks with reference to meta-data, meta-methods, and meta-theories. This study finds that both existing open government data benchmarks and academic open data progress models use a great variety of metrics and methodologies, although open data impact is not usually measured. While several benchmarks’ methods have changed over time, and variables measured have been adjusted, we did not identify a similar pattern for academic open data progress models. This study contributes to open data research in three ways: 1) it reveals the strengths and weaknesses of existing open government data benchmarks and academic open data progress models; 2) it reveals that the selected open data benchmarks employ relatively similar measures as the theoretical open data progress models; and 3) it provides an updated overview of the different approaches used to measure open government data initiatives’ progress. Finally, this study offers two practical contributions: 1) it provides the basis for combining the strengths of benchmarks to create more comprehensive approaches for measuring governments’ progress in open data initiatives; and 2) it explains why particular countries are ranked in a certain way. This information is essential for governments and researchers to identify and propose effective measures to improve their open data initiatives.
DOI: 10.17632/6bfs55tvdh
title: Infrared spectra of primary amine and some aldehydes with their corresponding Schiff base obtained using Invenio-R spectrometer

description: 11 Infrared spectra were obtained using Invenio-R spectrometer from 2-aminothiophenol, some aldehydes and their corresponding Schiff base
DOI: 10.26180/5d463b001f097
title: Population genomics of Klebsiella pneumoniae - supporting material

description: Data supporting figures prepared for review article "Population genomics of <i>Klebsiella pneumoniae</i>" by Wyres, Lam & Holt, <i>Nature Reviews Microbiology</i> 2020.
DOI: 10.17632/2bfp2nv6mr
title: Data for: How can we protect privacy in the pharmacy? The views of opioid dependent clients

description: Interview transcripts and quotes from participants
DOI: 10.17632/3pb373npkg
title: Replication code for "Trends and cycles during the COVID-19 pandemic period"

description: This replication code complements the article "Trends and cycles during the COVID-19 pandemic period'' and reproduces all quantitative content therein. The code estimates two unobserved components models, for Portugal and the euro area, and performs several trend-cycle decompositions. The procedure copes with the COVID-19's consequences by explicitly considering potentially larger second moments during that period. This is achieved through a set of pandemic-specific shocks affecting only the 2020-21 period and embedded into estimation through a piecewise linear Kalman filter. Results generate negligible revisions in key smoothed variables and in non-pandemic shock volatility when the sample period is expanded until 2021:4, since pandemic shocks absorb a great deal of data volatility with minimal impacts on filtered data revisions or estimated parameters. Further details can be found in the original article and the included readme file.

The codes run in Matlab and require the IRIS toolbox for macroeconomic modeling (Copyright (C) 2009-2022 IRIS Solutions Team; all rights reserved), also included here for convenience. The code requires Matlab's Optimization toolbox.
DOI: 10.17632/dfzfgytx5p
title: Data from: Amphibian abundance is associated with reduced mosquito presence in human-modified landscapes

description: Data and R-script corresponding to the article of Perrin et al. "Amphibian abundance is associated with reduced mosquito presence in human-modified landscapes". The 'README.txt' file provides key information for understanding and reuse data.
DOI: 10.17632/j9mkrw3vbh
title: Data for: Who stands to blame? Digital Platforms as enablers of insidious acts, published by BAR - Brazilian Administration Review

description: A list of all videos that were analyzed in the Youtube platform.
DOI: 10.17632/ry6g9cc5bw
title: Synthetic Degradation Dataset of 12 LG M50 Batteries

description: A synthetic degradation dataset of 12 LG M50 cells was generated using physics-based models. 

Battery models: Underlying battery states are simulated using a Doyle-Fuller-Newman (DFN) model, and four degradation mechanisms (i.e., solid electrolyte interphase growth, particle cracking, lithium plating, and stress-driven loss of active material) are coupled with the DFN model in Python Battery Mathematical Modeling (PyBaMM) library. 
Model parameters: The DFN model parameters (i.e., electrode parameters, electrolyte parameters, and separator parameters) are taken from Chen et al. [1] for a commercial NMC 811/graphite-SiOx cylindrical cell manufactured by LG Chem (INR21700 M50, 5 Ah). The parameters of the degradation models in PyBaMM are taken from multiple sources and can be found in the supplementary information of Ref. [2]. Three degradation parameters (i.e., cracking rate in Paris' law, decay rate for dead lithium formation, and loss of active anode material proportional term) were intentionally varied.
Cycling protocols: The cells are charged with a 1C constant current-constant voltage (CC-CV) step to 4.2 V and a current cut-off of C/100 (50 mA) followed by a rest for 5 minutes. Subsequently, the cells are discharged at 1C to 2.5 V with a current cut-off of C/100 (50 mA) and then at rest for 5 minutes. The ambient temperature is set to be constant at 25°C.

References
[1] Chen CH, Planella FB, O’regan K, Gastol D, Widanage WD, Kendrick E. Development of experimental techniques for parameterization of multi-scale lithium-ion battery models. Journal of The Electrochemical Society. 2020 May 15;167(8):080534.
[2] O'Kane SE, Ai W, Madabattula G, Alonso-Alvarez D, Timms R, Sulzer V, Edge JS, Wu B, Offer GJ, Marinescu M. Lithium-ion battery degradation: how to model it. Physical Chemistry Chemical Physics. 2022;24(13):7909-22.
DOI: 10.6084/m9.figshare.12919013.v4
title: Chemistry of Atmospheric Fine Particles during the COVID-19 Pandemic in a Megacity of Eastern China

description: COVID-19 observed and simulated data<br>
DOI: 10.6084/m9.figshare.26861992.v1
title: <b>Reconstruction of Maritime Route Network in Nearshore Waters with Noise Removal Using Step-by-Step Density-based Clustering</b>

description: code:1.preprocess.py -AIS trajectory preprocessing code2.Similarity calculation.py -Calculate the sub-trajectory Hausdorff distance, course over ground (COG) similarity of key turning points and average COG similarity3.S<sup>2</sup>-dbscan clustering.py -Code implementation of S2-DBSCAN algorithm for clustering problems under multi-objective conditions4.Delaunay triangulation.py -Perform Delaunay triangulation on the sub-trajectory clustering results5.Extract center line.py -Code for extracting centerline based on triangulation resultsdata：1.perprocess. Preprocessed ship trajectory data2.arcgis pro. Results Visualization
DOI: 10.17632/cfzshh27jd
title: Data for: Major ion geochemistry in Na-Ca-Mg-K-Cl-SO4 brines using portable X-ray fluorescence spectrometry

description: The accompanying data are either reference data or output data from "Major ion geochemistry in Na-Ca-Mg-K-Cl-SO4 brines using portable X-ray fluorescence spectrometry". S1 is the reference data set from external laboratories and was used to create Figure 1. S2 is a mixture of the reference data and calibrated results from the pXRF analyses using the low energy helium method discussed in this study and was used to produce Figure 4. S3 shows the intensity outputs from Bruker AXS ARTAX software and measure gravimetric dilution values then used to calculate diluted concentrations. S3 was used to make Figure 5. S4 includes intensity outputs and concentrations for trace elements and was used to produce Figure 6. Al and Mn intensities were produced used low energy helium scans and Br and Sr intensities were produced using higher energy yellow filter scans. All analyte concentrations are reported in milligrams per liter.
DOI: 10.17632/nh893kmynn
title: Governance_Strelkova

description: This is data for my master's thesis, which studies the impact of corporate governance on the market capitalization of Russian companies
DOI: 10.17632/jtgh2885yf
title: Sugar Apples / Custard Apples (Annona squamosa) Disease Image Dataset

description: We have curated a dataset of 8226 images depicting diseases affecting Sugar Apples / Custard Apples, including Athracnose, Blank Canker, Diplodia Rot, Leaf Spot on fruit, Leaf Spot on leaf, and Mealy Bug.
DOI: 10.17632/3yx53rgpfn
title: Replication Package for Transport Costs and the Locations of Upstream–Downstream Sectors in China and Indonesia

description: This file provides the replication package to reproduce the results in the paper Transport Costs and the Locations of Upstream–Downstream Sectors in China and Indonesia.
DOI: 10.17632/96yhm3ct24
title: First Lidar Observations of Quasi-Biennial Oscillation-Induced Interannual Variations of Gravity Wave Potential Energy Density at McMurdo via a Modulation of the Antarctic Polar Vortex

description: This dataset supports the article "First Lidar Observations of Quasi-Biennial Oscillation-Induced Interannual Variations of Gravity Wave Potential Energy Density at McMurdo via a Modulation of the Antarctic Polar Vortex" (accepted for publication in the Journal of Geophysical Research-Atmosphere). The data are provided in MatLb or IDL format. Plotting programs are also included.
DOI: 10.17632/4njrhktv4g
title: Study on Customer Behavior towards Online Food Ordering with Reference to Nagpur City (East Region)

description: The recent improvement of the internet has increased the e-commerce industries in everywhere in India. Online food ordering is the method of ordering food through the restaurant's own website or mobile app. E-commerce expansion has made online food ordering services faultless for people who want to get food delivered at their doorway. In this study, researcher focus is to evaluate the behavior of customer towards online food ordering services in Nagpur city specifically east region. To understand about the factors have played a foremost role to attract customers for online ordering in the rising city like Nagpur, researcher decided to study on the customers behavior on online food ordering. In this research paper, there are two objectives set for further study. Firstly to identify the factors which influence the customers to order food online and secondly to recognize the customer‟s preferences on online food ordering services provider in Nagpur especially east region. To attain the said objectives survey will be conducted to collect the information, which helped to understand the behavior and perception of respondents for online food ordering in Nagpur (East). Keywords: Online food ordering, customer perception, E-commerce, online food, Nagpur
DOI: 10.17632/7jmgfk4fd9
title: A Dataset for Multimodal Music Information Retrieval of Sotho-Tswana Music Videos

description: The dataset is a multimodal dataset for music information retrieval of under-resourced Sotho-Tswana language. The MIR tasks for which the dataset can be used for, include multimodal music sentiment analysis, multimodal music genre classification, multimodal language identification in music videos, and recommender systems. Although the primary source of the musical videos is YouTube, several processes have been performed on the dataset, such as segmentation, separation of the audio modality from the visual modality, and extraction of spectral-based acoustic features, together with enriched manual annotations of the following metadata, language, genre, lyrics and meaning of song. The dataset is ideal for training deep learning models, and the recommended fusion method for combining the features of the audio and visual modalities is the decision-level (late) fusion method. In addition to the musical video clips, part of the dataset includes various CSV files and Jupyter notebooks.
DOI: 10.17632/v3ycrk85jh
title: Black Pepper Ontology

description: The purpose of this project is to develop a farm- agro ontology model, by eliminating the limitations of the present existing systems which are available. Since the Semantic Web has grown into a mature field of research, its methods find innovative applications on and off the World Wide Web. Its underlying technologies have significant impact on adjacent fields of research and on industrial applications. Semantic Web technologies shall support the seamless integration of data, on-the-fly composition and interoperation of Web services, as well as more intuitive search engines. The semantics – or meaning – of information, however, cannot be defined without a context, which makes personalization, trust, and provenance for Semantic Web research. New retrieval paradigms, user interfaces, and visualization techniques have to unleash the power of the Semantic Web and at the same time hide its complexity from the user. Based on this vision, we try to engage on a theoretical and foundational research over methods and tools to descriptions of concrete ontologies and applications in Farm Automation and Agro-processing. Key words :OWL, RDF, Black Pepper Property definition, Cultivation, Varieties, Propagation,Diseases,Farm – processing
DOI: 10.17632/fnn44p4mj8
title: Data for: Text detection and Recognition in Raw Image Dataset of Seven Segment Digital Energy Meter Display

description: The raw dataset contains images of digital energy meters (seven segment numerals). The total number of samples collected is 169. All the samples are collected from consumer premises at Tamilnadu, india. The images captured in a way that there is no flash or reflection from the display. The labelling process has been done using the ‘labelbox’ tool for the collected images. The COCO annotation JSON file is available with the link.
DOI: 10.17632/n9wssdsfxd
title: Rakija Market Segments: Insights into Buying Factors Dataset

description: . A sample of 395 individuals who consume rakija (N=395) was selected randomly. Two research scales were employed to examine consumer attitudes, preferences, intentions, and decisions regarding the purchase of rakija. The validity of the scales was evaluated through reliability analysis and factor analyses. Furthermore, a two-step hierarchical cluster analysis utilizing Ward’s method was carried out to identify the segments. Lastly, the purchasing power of each segment was assessed through a standard multiple regression analysis using SPSS, followed by a path analysis conducted in AMOS. The authors identified three segments. The "traditionalist" segment consists of consumers who prefer older, familiar Serbian fruit rakija. The "modernist" segment prefers innovative options with contemporary packaging. The "price-limited" segment prioritizes affordable rakija.
DOI: 10.17632/yzsfgz7sp6
title: RNA circles with minimized immunogenicity as potent PKR inhibitors

description: Detailed description of this data can be accessed in Liu et al. RNA circles with minimized immunogenicity as potent PKR inhibitors.
DOI: 10.17632/jc2h88xcjm
title: Corals feel the water chemistry

description: Corals feel the water chemistry: trace elements in coral skeletons reflect accurately their seawater chemistry, biological and geochemical implications
DOI: 10.7910/dvn/27470
title: FEC Candidate Summary and Individual Donor Files

description: Candidate summary and individual donor files provided through a special extraction of internal FEC databases by FEC staff and authorized for public release. These files are similar to public files available for download on the FEC website http://www.fec.gov/finance/disclosure/ftp_download.shtml. They differ in that they have been cleaned by FEC staff and contain all reported individual donors, whereas the public files residing on the FEC website are not as thoroughly cleaned and censor some donors who gave an aggregate under $200 to a single candidate in an election cycle. These files are provided as is. Please refer to FEC documentation for variable descriptions.
DOI: 10.7910/dvn/2p7ghr
title: Transgender Economic Health Survey

description: State of CA Economic Health Survey, with modifications to variables for study
description: The original dataset was collected by Hartzell et al., on behalf of the Transgender Law Center. Dr. Gina Rosich was provided the dataset directly by M. S. Frazer with consent to use for secondary data analysis. The version uploaded to this repository contains modifications to the variables for the purpose of analysis, but not to the data itself with the exception of personal identifying information that has been removed.
DOI: 10.7910/dvn/q023hf
title: Productivity and Health: Alternative Productivity Measures using Physical Activity

description: This paper investigates an alternative measure for individual worker productivity in physical work settings: a direct measure of physical activity using an accelerometer. First, the paper evaluates the relationship of agricultural workers’ physical activity with their daily productivity and labor supply, which are directly observed, and finds a positive correlation. Second, to illustrate the promise of physical activity measures and provide further validation, we estimate the impact of a health intervention on physical activity, and compare with its impact on productivity and labor supply. The results demonstrate that the increased daily productivity of workers who are offered this program is explained by worker time reallocation from lower intensity activities to higher intensity activities.