cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/r4fn4hbc8k.2
title: Dataset: Enterprise Resource Planning Survey for quality assessment

description: This dataset is designed to assess various aspects related to the usage and perception of Institutional ERP (Enterprise Resource Planning) systems. It provides valuable insights into user experiences, satisfaction levels, and system effectiveness.
The dataset includes the following parameters:
Usage of Institutional ERP: Indicates whether respondents are utilizing the institutional ERP or a similar system.
Data Availability: Determines if users are obtaining the required data from the ERP system.
Understanding of Generated Information: Assesses the ease of understanding information generated by the ERP system.
Data Format: Identifies the formats in which required data/reports are generated (e.g., PDF, Excel, graphs).
Hierarchy of Data Availability: Explores the existence of data availability hierarchy and user-level categories (e.g., Faculty level, HoD level).
User-Friendliness: Evaluates the system's user-friendliness and ease of use.
Improvement Needs: Determines if there's a need to enhance display or language within the ERP system.
Loading Time: Estimates the expected time for each page of the system to load.
Accessibility: Assesses if the ERP system should be accessible from any location outside the institutional campus.
Availability: Determines if the ERP system should be available 24*7.
Technical Support: Evaluates the empathy and timeliness of response from technical support staff.
Online Assistance Requirement: Explores the necessity of online assistance or help desk support.
Infrastructure Adequacy: Assesses if the system infrastructure adequately fulfills user requirements.
Data Quality: Evaluates the sincerity, genuineness, and confidentiality of data.
Response Quality: Rates the quality of responses and assistance provided by the ERP system.
Overall Experience: Allows users to rate their overall experience working with the ERP system.
Effectiveness and Efficiency: Assesses the overall effectiveness and efficiency of the ERP system.
User Comfort and Satisfaction: Rates the level of user comfort and satisfaction with the ERP system.
Report Generation Quality: Rates the quality of information and report generation through the ERP system.
User Interface Usability: Evaluates the usability and effectiveness of user interfaces within the ERP system.
ERP Aesthetic: Rates the appearance, color combination, and overall aesthetic of screens within the ERP system.
Timely Assistance: Rates the timeliness of assistance and support provided by the ERP team.
Preferred Training Mode: Identifies preferred modes of training for system usage.
These parameters collectively offer valuable insights into user experiences, satisfaction levels, and areas for improvement within Institutional ERP systems.
DOI: 10.17632/hsdgt7rbk7.1
title: The phenomenal rise of Environmental, Social, and Governance (ESG) as a research issue: A bibliometric analysis

description: The data was retrieved from the Scopus database, last updated on September 29, 2021, which thus formed the foundation for this bibliometric analysis. During the first stage, the following keywords were used to search in Scopus: “ESG”; “Environment*” OR “Social” OR “Governance” OR “Corporate Governance”; and “invest*” OR “scor*” OR “index” OR “rating provider*” OR “rate provider*” OR “sustainability” OR “sustainable.” Further, the article title, abstract, and author keywords were used as strings for document search. A total of 1,110 documents were extracted using the above search keywords for the period from 2001 to the data retrieval date (September 29, 2021). Although almost 50% of the documents belonged to the business, economic, or financial fields as specified by Scopus, there were also publications from other research areas such as physics and astronomy, toxicology and pharmaceutics, material science, biochemistry, pharmacology, medicine, genetics and molecular biology, and chemistry. Therefore, a manual screening was conducted to eliminate the irrelevant fields for the current study. Subsequently, 981 documents were refined and introduced into a Microsoft Excel spreadsheet for further analysis.
DOI: 10.17632/wbb7tx5xz9.1
title: Data for: ENGINEERING BOND MODEL FOR CORRODED REINFORCEMENT

description: Database containing results from bond tests of specimens with corroded reinforcement
DOI: 10.17632/dtz8zp48tj.1
title: Cholestasis REDCap survey results from pediatric primary care providers

description: Data was compiled and analyzed through the REDCap software program. Results were based on a 20 question survey sent to pediatric primary care providers to asses for variations in diagnosis and management of cholestatic jaundice which can lead to a delay in the diagnosis of biliary atresia, a common cause of cholestasis in infants. The survey included multiple-choice and Likert scale questions. Information on knowledge and interpretation of appropriate screening tests, past experience/behavior, confidence/comfort level managing cholestasis, as well as demographic information was collected. Providers were also asked their level of knowledge regarding the recently published guidelines on cholestatic jaundice by the North American Society for Pediatric Gastroenterology, Hepatology, and Nutrition (NASPGHAN) and the European Society for Pediatric Gastroenterology, Hepatology, and Nutrition (ESPGHAN). Survey results demonstrate an overall lack of knowledge regarding the guidelines on cholestatic jaundice in the pediatric primary care community. More standardized protocols and screening tools for cholestatic jaundice may lead to earlier diagnosis of biliary atresia leading to decreased morbidity, increased survival, and a decrease in overall healthcare cost.
DOI: 10.17632/nk2ysbyc8z.1
title: Insight into sleep quality and its relationship with Emotional Intelligence: results of a cross-sectional study among Italian university students

description: The dataset was used in a cross-sectional study aimed at examining the relationship between EI and sleep quality among undergraduate university students in Southern Italy. This study took place between the 13th and 28th of February 2023 in a representative sample of Italian university students of one public university in the Calabria Region. The information is collected through an online questionnaire that is filled in by respondents. The online survey was sent via institutional email. An anonymous and structured questionnaire was used, comprising four sections.
The first section of the questionnaire contained questions related to socio-demographic information, including gender, age, and major attended. Furthermore, each participant was questioned about whether they had any chronic diseases and, if yes, which ones. Sleep quality was investigated in the second section through the Pittsburgh Sleep Quality Index (PSQI). The EI was measured by the Trait Meta-Mood Scale (TMMS) in the third section. Following the WHO-recommended standardized question "How is your health in general?", perceived health status was assessed in the last part of the survey.
DOI: 10.17632/cg5z25rj8y.1
title: Data on the techno-economic and financial analyses of hybrid renewable energy systems in 634 Philippine off-grid islands

description: This data article contains the location, energy consumption, renewable energy potential, techno-economics, and profitability of hybrid renewable energy systems (HRES) in 634 Philippine off-grid islands. The HRES under consideration consists of solar photovoltaics, wind turbines, lithium-ion batteries, and diesel generators. The islands were identified from Google Maps™, Bing Maps™, and the study of Meschede and Ocon et al. (2019). The peak loads of these islands were acquired from National Power Corporation – Small Power Utilities Group (NPC-SPUG), if available, or estimated from the island population otherwise. Hourly-resolution load profiles were synthesized using the normalized profiles reported by Bertheau and Blechinger (2018). Existing diesel generators in the islands were compiled from reports by NPC-SPUG, while monthly average global horizontal irradiance and wind speeds were taken from the Phil-LIDAR 2 database. Islands that are electrically interconnected were lumped into one microgrid, so the 634 islands were grouped into 616 microgrids. The HRES were optimized using Island System LCOEmin Algorithm (ISLA), our in-house energy systems modeling tool, which sized the energy components to minimize the net present cost. The component sizes and corresponding techno-economic metrics of the optimized HRES in each microgrid are included in the dataset. In addition, the net present value, internal rate of return, payback period, and subsidy requirements of the microgrid are reported at five different electricity rates. This data is valuable for researchers, policymakers, and stakeholders who are working to provide sustainable energy access to off-grid communities. A comprehensive analysis of the data can be found in our article “Techno-economic and Financial Analyses of Hybrid Renewable Energy System Microgrids in 634 Philippine Off-grid Islands: Policy Implications on Public Subsidies and Private Investments” by Castro et al. (2022).
DOI: 10.17632/nnmhhnbf97.2
title: Data for Genomic convergence in terrestrial root plants through tandem duplication in response to soil microbial pressures

description: 1. 205species
This folder includes TD-, WGD- and HGT-derived genes, gene families, and Ks values of TD-derived gene pairs in each of 205 studied species.

2. Ancestral_and_specific_TD_events
Ancestral and independent TD events in Arabidopsis thaliana, Schrenkiella parvula, Oryza sativa and Zizania latifolia. The TD events that occurred before and after the divergence of A. thaliana and S. parvula, as well as O. sativa and Z. latifolia, were considered ancestral and specific TD events, respectively.

3. Biotic_stress
List of upregulated genes in Arabidopsis thaliana and Oryza sativa and under biotic stresses, such as Botrytis cinereal, Colletotrichum tofieldiae, flg22, Heterodera schachti nematodes, Heterodera schachtii parasitism, Pseudomonas syringae, Rhizobium sp, and Verticillium dahlia on Arabidopsis thaliana and Meloidogyne incognita, Magnaporthe oryzae, Azospirillum brasilense, Soil microbiome, Hirschmanniella oryzae, Rhizophagus irregularis, Burkholderia vietnamiensis and Paraburkholderia kururiensis on Oryza sativa. 

4. GLM_analysis 
The details of the species geographical coordinates, climatic, anthropogenic, edaphic, and plant morpho-ecospace variables, and the GLM analysis results of 1000 bootstrap resampling replicates.

5. GO_enrichment
The GO term annotations for 28 representative species and enriched terms of TD- and WGD-derived family genes.

6. MLtree 
The original phylogenetic tree files for the ten TD-derived families. The phylogenetic trees were constructed using 17 representative plants, including Rhodophytes (Galdieria sulphuraria and Gracilariopsis chorda), Prasinodermophyta (Prasinoderma coloniale), Chlorophytes (Chlamydomonas reinhardtii and Chloropicon primus), Charophytes (Klebsormidium nitens and Mesotaenium endlicherianum*), Bryophytes (Marchantia polymorpha and Anthoceros angustus), Lycophytes (Isoetes taiwanensis and Selaginella moellendorffii), Ferns (Adiantum capillus-veneris and Alsophila spinulosa), Gymnosperms (Torreya grandis and Pinus lambertiana), and Angiosperms (Arabidopsis thaliana and Oryza sativa). 

7. Mangroves
The details of 16 mangrove genomes. You can obtain gene lists of TD-derived genes, gene families, and Ks values of TD-gene pairs in each mangrove species form this folder.

8. Code
The code used in this study, including 'HGTdetector.sh' and other scripts.
DOI: 10.17632/gsbmknrhkv.6
title: SUT-Crack

description: The SUT-Crack dataset contains high-quality images of asphalt pavement cracks, specifically curated for crack detection using deep learning techniques like classification, object detection, and segmentation. Careful consideration was given during dataset creation to encompass various crack detection challenges, such as oil stains, shadows, and different lighting conditions. The images were captured from a fixed height of 672 mm above the pavement surface, facilitating calibration for real-world crack length measurements. Notably, the dataset also includes geotags, providing precise latitude and longitude coordinates for each image.
DOI: 10.17632/np54zjkvxr.1
title: Dataset for: Clonal dynamics of haematopoiesis across the human lifespan

description: These are the datasets to support the manuscript:

Clonal dynamics of haematopoiesis across the human lifespan

Emily Mitchell1,2,3, Michael Spencer Chapman1,#, Nicholas Williams1,#, Kevin J Dawson1,#, Nicole Mende2, Emily F Calderbank2, Hyunchul Jung1, Thomas Mitchell1, Tim Coorens1, David H Spencer4, Heather Machado1, Henry Lee-Six1, Megan Davies5, Daniel Hayler2, Margarete Fabre1,2,3, Krishnaa Mahbubani6,7, Fede Abascal1, Alex Cagan1, George Vassiliou1,2,3, Joanna Baxter3, Inigo Martincorena1, Michael R Stratton1, David Kent8, Krishna Chatterjee9, Kourosh Saeb Parsy6,7, Anthony R Green2,3, Jyoti Nangalia1,2,3*, Elisa Laurenti2,3*, Peter J Campbell1,2*.

# These authors contributed equally.
* These authors contributed equally.

Affiliations

(1)	Wellcome Sanger Institute, Hinxton, CB10 1SA, UK.
(2)	Wellcome-MRC Cambridge Stem Cell Institute, Cambridge Biomedical Campus, Cambridge, CB2 0AW, UK.
(3)	Department of Haematology, University of Cambridge, Cambridge, CB2 2XY, UK.
(4)	Department of Medicine, McDonnell Genome Institute, Washington University, St. Louis, MO, USA.
(5)	Cambridge Molecular Diagnostics, Milton Road, Cambridge, CB4 0FW, UK.
(6)	Department of Surgery, University of Cambridge, Cambridge, CB2 0QQ, UK.
(7)	Cambridge Biorepository for Translational Medicine, NIHR Cambridge Biomedical Research Centre, University of Cambridge, Cambridge CB2 2XY, UK.
(8)	York Biomedical Research Institute, Department of Biology, University of York, York, YO10 5DD, UK.
(9)	Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, Cambridge, CB2 0QQ, UK.
DOI: 10.17632/bygfmk4rx9.2
title: Clinical Laboratory Test Reports

description: This dataset includes 260 clinical laboratory test reports issued by 24 laboratories in Egypt. It is used as a part of a laboratory test data extraction research. The research is concerned with tagging unstructured and semi-structured heterogeneous lab test data for future unification. The body of all reports is in English; however, headers and footers are in both English and Arabic languages.

The dataset includes pdf-to-image, scanner-scanned, and mobile-scanned lab test reports. Some of the issuers are Alfa Laboratories, Alborg Labs, Almokhtabar Laboratories, Royal Lab, Alshams Labs, Labmed Egypt, Mabaret Elasafra Laboratories, Grand Lab, Green Lab, Omega Labs, and Nasr City Hospital. Many of the reports are issued by different branches. In addition, some of the laboratories exist in governorates such as Cairo, Giza, Alexandria, and Red Sea.

This data was collected from volunteers with full authorization for the researcher to allow conducting data extraction research. This dataset is split into two parts. Firstly, the first part is training lab test reports that are used to extract test patterns to generate training data. Secondly, the other part is used for testing and evaluation of named-entity recognition models.
DOI: 10.17632/596t332hgs.1
title: Data for: Geothermometry using minor and trace elements in igneous and hydrothermal magnetite

description: compilation of magnetite and coexisting melt in experiments composition of natural magnetite from various settings
DOI: 10.17632/nrny5z4cmt.1
title: CoupledElectricMagneticDipoles.jl - Julia modules for coupled electric and magnetic dipoles method for light scattering, and optical forces in three dimensions

description: CoupledElectricMagneticDipoles.jl is a set of modules implemented in the Julia language. Several modules are provided to solve typical problems encountered in nano-optics and nano-photonics including light emission by point sources in complex environments, electromagnetic wave scattering by single objects with complex geometry or collections of them. Optical forces can also be computed with this software package.
Two closely related computational methods are implemented in this library, the discrete dipole approach (DDA) and the coupled electric and magnetic dipoles (CEMD) method.
DOI: 10.17632/z9292bvdmh.1
title: Supplementary Table 5

description: Raw GC-MS data for the hydrocarbon degradation profile of Pseudomonas frederiksbergensis SI8 grown for 14 days at 28ºC in Jet A fuel. Control, did not contain bacteria and was measured after 14 days. D0.5, day 0.5 samples with bacteria (n=3); D07, day 7 samples with bacteria (n=3); D14, day 14 samples with bacteria (n=3).
DOI: 10.17632/xfgrxbst6p.1
title: Scanning electron microscopic images of fractured cast iron samples under cyclic loading

description: Scanning electron microscopic images of fractured ductile cast iron samples are enclosed. Rotary fully-reversed bending Fatigue tests were done on standard GJS-700 specimens, extracted from the crankshaft of an engine, under cyclic loading. Then, the fracture surface of samples was examined by scanning electron microscopy to find striation marks due to the fatigue phenomenon.
DOI: 10.17632/hjh5j2j6j4.1
title: Sustainable Tourism as Forms of Disciplinary Acts

description: This dataset is the translated version for paper submission "Sustainable Tourism as Forms of Disciplinary Acts", originally created in Bahasa Indonesia. This document consists both original data and its' interpretation of: 1. UNWTO's Global Code of Ethics in Tourism; 2. Regulation of The Ministry of Tourism and Creative Economy of Indonesia (Permenparekraf), No. 9 of 2021; 3. Regulation of Regional Government of Bali (Perda Bali), No. 5 of 2020; 4. Regulation of Bali Governor (Pergub Bali), No. 28 of 2020; 5. Regulation of Bali Governor (Pergub Bali), No. 52 of 2021; 6. Tri Hita Karana Awards and Accreditation Guidebook for Accessors; 7. EarthCheck Destination Standard v.3.0; 8. Implementation Report on Sustainable Tourism Activities, a document of Indonesia Sustainable Tourism Council (ISTC) assessment on Nusa Dua Tourism Complex, managed by Indonesia Tourism Development Corporation (ITDC); 9. Melia Hotel Bali's Report on Sustainable Tourism Activities. 10. Interview Transcript with Indonesia Tourism Development Corporation; 11. Interview Transcript with Nusa Dua Beach Hotel; 12. Interview Transcript with Bali Government Tourism Offce.
DOI: 10.17632/ztz34f5st2.2
title: Supplementary data sets for the PNAS Nexus 2023 manuscript by Xiaokang et al

description: Wild_Type includes data for the wild type (WT) system with all three methyltransferases (G9a, SETDB1 and SUV39H1/2) present at 100% concentration
SETDB1_75: SetDB1 knocked down to a 75% concentration (with respect to WT)
SETDB1_50: SetDB1 knocked down to a 50% concentration
G9A_75: G9A knocked down to a 75% concentration
G9A_50: G9A knocked down to a 50% concentration
SUV_75: Suv39h knocked down to a 75% concentration
SUV_50: Suv39h knocked down to a 50% concentration

Rows contain data for the respective time steps
Columns contain data for the respective H3K9 methylation states (0 = H3K9me0, 1 = H3K9me1, 2 = H3K9me2, and 3 = H3K9me3)

For the ensemble averages, the rows represent time and the columns the abundance of each methylation state:
(Column 1 is H3K9me0, Column 2 = H3K9me1, Column 3 = H3K9me2, and Column 4 = H3K9me3)
As a note, H3K9me0 column starts at 100 and the H3K9me3 column starts at 2 due to the two pre methylated ones.
DOI: 10.17632/37ys78kpxn.2
title: Inventories, Input Costs, and Productivity Gains from Trade Liberalizations

description: Replication files
DOI: 10.17632/h8tzpxkvdc.1
title: Code: Using machine learning to predict dimensions and qualify diverse part designs across multiple additive machines and materials

description: This code was used for dimensional metrology of additively manufactured parts scanned using a high resolution document scanner, and for training and testing machine learning models to predict feature dimensions and part quality. Results are published in "Using machine learning to predict dimensions and qualify diverse part designs across multiple additive machines and materials," by Davis J. McGregor, Miles V. Bimrose, Chenhui Shao, Sameh Tawfick, and William P. King.
DOI: 10.17632/4xjcd6dvzg.4
title: Beta Functional diversity in R

description: This R code allows to calculate three differernt functional diversity inidices (richness, regularity and divergence) based on a moving window approach applied to a raster file as done in Rossi et al. (2020)
DOI: 10.17632/7c6kktxg2s.1
title: Corporate ESG performance and the capital market information environment

description: Since China began to disclose ESG performance in 2011, we selected A-share listed companies on the Shanghai and Shenzhen stock exchanges from 2011 to 2022 as the research sample. The samples were further excluded from special treatment companies, companies in the financial industry, and those with missing data. The final sample contained 17,752 firm-year observations. All continuous variables are winsorized at the 1% level to avoid outlier effects. ESG data are from the Wind database, and financial data are from the China Securities Market and Accounting Research database.
DOI: 10.17632/4sz7z2fr7k.1
title: Co-occurring extremes of PM2.5 and ozone in warm seasons of the YRD of China

description: Co-occurring extremes of PM2.5 and ozone in warm seasons of the YRD of China from 2015 to 2022
DOI: 10.17632/bfk3hvdcnt.1
title: DMO social media engagement dataset

description: The dataset consists of 21677  tweets posted from 25th March 2019  to 31st January 2022 by 23 Destination marketing organizations (DMO). The tweets were collected to study the social media content strategy of DMOs. Specifically, the research attempted to study how the linguistic features in social media content strategies of DMOs change during the pre-Covid, lockdown and post lockdown phases and what was its impact on social media user engagement. Accordingly the data constitutes key variables like confidence and positive engagement expressed in a tweet,  the amount of cognitive content embedded in a tweet,  the media type, number of hashtags, mentions and word count of a tweet. The number of likes and retweets associated with each tweet is also captured. The dataset also captures the date and time stamp of each tweet to classify it according to three different phases namely, pre-COVID, during lockdown and post-COVID. The timelines are choses as per the Government of India's declaration of the lockdown.
DOI: 10.17632/nfdys882hn.1
title: Unveiling Research Trends in Performance Measurement Systems: A 40-Year Bibliometric Study

description: The research employed a bibliometric analysis utilizing the Scopus database up to December 2023. To gather pertinent publications in any language, we utilized the search query TITLE-ABS-KEY("performance measur* system" OR "performance evalu* system") AND (LIMIT-TO(SUBJAREA,"BUSI")) within the Scopus database. This search query encompassed titles, abstracts, and keywords, broadening the search scope to ensure the inclusion of significant articles related to Performance Measurement Systems (PMSs), even if they did not explicitly mention the term "performance measurement system" and “performance evaluation system” in their titles. Figure 1 illustrates our search strategy. This initial search yielded a selection of 1903 publications. Additionally, in this study, the asterisk symbol (*) was employed in the search query to broaden the search output. In databases such as Scopus, using the asterisk (*) as a wildcard character alongside a keyword like "perform" enables the search for variations of words that begin with the letters "perform." This encompasses terms such as "performance," "performing," "performs," and other related variations.