cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.11356859.v1
title: Codon usage pattern of all genes in Escherichia coli K-12

description: Since its elucidation, the codon table has played a pivotal role in aiding our understanding of how cells read the sequence in DNA and translate it into a protein sequence. But, at a fundamental level, we still do not understand why the codon table is degenerate such that different codons could encode the same amino acid. More intriguingly, different number of codons are used to encode different amino acids. These mysteries await resolution through fundamental research, but, at the applied level, codon usage patterns of cells have been known to impact on the efficiency in which a gene can be expressed. Specifically, genes with less often used codons could not be translated into proteins efficiently, thereby, resulting in a low expression level. This work took a different perspective in understanding the codon usage pattern of a cell. In particular, a global approach was taken to calculate the codon usage pattern of all genes in <i>Escherichia coli</i> K-12 using information from the reference genome of <i>E. coli</i> K-12 MG1655 (Genbank accession number: NCBI Reference Sequence: NC_000913.3) Through analysis with an in-house MATLAB software, the codon usage pattern of all genes revealed that codons, AGA and AGG, were minimally used by the bacterium. This holds implications at different levels. Both codons were part of 6 codons that could encode arginine, which suggests that some genes could not be efficiently translated into the corresponding proteins if they sport the minimally used codons. This meant that analysing the codon usage pattern of a cell at the genome level could help uncover genes that are no longer needed by the cell. Specifically, the logic flows that since a gene could not be expressed efficiently, it has likely lost physiological relevance and might be a relic of evolution. Hence, profiling the codon usage pattern of a cell could become a useful tool for determining putative genes that are no longer required by the cell. Overall, this work should lend insights into the preferred codon usage pattern of this biotechnology workhorse as well as serving as a first demonstration of an approach useful for uncovering genes that are no longer relevant in the cell’s current evolutionary trajectory. <br><br>
DOI: 10.6084/m9.figshare.8091263.v1
title: Datasets_Features.csv

description: This Database belongs to “A Database for Using Machine Learning and Data Mining Techniques for Coronary Artery Disease diagnosis” research paper. This database includes 15 tables. We chose to index papers related to CAD detection using machine learning and data mining approaches that are published between 1992 and 2018. These criteria result in 126 papers in which 490 authors contributed to these papers. These papers studied 68 different datasets with almost more than 360 distinct features collected in 18 countries from Asia, Europe, and America. In these papers, 140 different machine learning or data mining techniques were applied to diagnose CAD. To use csv file, open it in excel or import it in your database.
DOI: 10.17632/hsmv4bvff7
title: Prediction of bond strength at the NC-UHPC interface utilizing a multi-feature driven analysis

description: Thesis database
DOI: 10.6084/m9.figshare.21743991.v1
title: Lesions caused by human and domestic and wild animal bites

description: ABSTRACT Animal bites are a common problem in the emergency room. There are many reports of isolated cases (mainly of domestic mammals); however, texts with more comprehensive and general guidance on these kinds of bite injuries are necessary, including those caused by wild mammals, reptiles, and even fish. This review aims to update knowledge on this problem, which includes human and domestic and wild animal bites. Health teams in emergency care centers should be aware of the initial and late measures required to control this problem.
DOI: 10.17632/yr2s3r79kc
title: Models of Abstract Reasoning in Healthy Participants

description: Among advanced cognitive functions, abstract reasoning is closely associated with an ability to detect relations among objects, ideas, conditions or events. Abstract thinking underlies the understanding of other individuals' thoughts, intentions and problem-solving. Due to high individual variance in creating abstractions, neural underpinnings of the phenomenon remain unclear. Using EEG, we investigated neurophysiological differences accompanying abstract reasoning in 17 healthy volunteers. There were three types of conditions representing different models of abstract reasoning and using correspondent stimuli: direct (nouns from one semantic category), latent (a loose relation based on a common attribute of the presented words), and non-related words. The participants were to define a general association underlying a group of presented words.
DOI: 10.21954/ou.rd.12670949.v2
title: OLAF PROJECT DATA SET

description: Subject: EducationSpecific: Online Learning and FunType: Questionnaire survey data (csv / excel)Date: February - March 2020Content: Students' views about online learning and fun Data Source: Project OLAFValue: These data provide students' beliefs about how learning occurs and correlations with fun. Participants were 206 students from the OU
DOI: 10.6084/m9.figshare.24633114.v1
title: <b>Dynamic Assessment of Cerebral Hemodynamics in Depressive Patients Under </b><b>Modified Electroconvulsive Therapy</b>

description: This study employs functional Near-Infrared Spectroscopy (fNIRS) to dynamically assess disparities in cerebral hemodynamics between Major Depressive Disorder (MDD) patients and a matched control group.
DOI: 10.17632/jjpcj7fy6t
title: Night-haze: hazy images dataset with localized light sources for benchmarking of dehazing methods

description: Here we proposed two datasets for benchmarking single-image dehazing (haze removal) methods in both day and night conditions: "Night-haze" and "Night-haze-ext".

"Night-haze" features:
- real hazy, haze-free images and its corresponding depth maps, taken indoors;
- 2 scenes – one with simpler objects and the other with more complex objects and with the presences of localized light sources;
- 4 haze density levels – from absent to heavy haze;
- 4 lighting levels – from sufficient to weak lighting (which are try to simulate day and nighttime lighting);
- 32 images and depth maps in total.

"Night-haze-ext" has similar features, but:
- increased depth of scenes;
- increased the number of haze density levels to 8; 
- thermal images in addition to regular (visible) images and depth maps;
- 64 images and depth maps, 63 thermal images in total.

Folders description:
- night-haze:
 - jpg: visible images, collected using Canon 2000d in .jpg format;
 - raw: visible images, collected using Canon 2000d in .cr2 format;
 - kinnect: files, collected using Microsoft Kinnect v2;
 - color: visible images in .npy* format;
 - depth: depth map in .npy* format;
 - realsense: files, collected using Intel RealSence d435i;
 - color: visible images in .npy* format;
 - depth: depth map in .npy* format;
- night-haze-ext: similar to night-haze, but:
 - kinnect: files in .png format in "color" and "depth" folders;
 - realsense: files in .png format in "color" and "depth" folders;
 - infrared: files, collected using Flir C2;
 - color: visible images in .png format;
 - spectrum: infrared images in .png format;
* - numpy’ arrays format (https://numpy.org/doc/stable/reference/generated/numpy.load.html) 

Details about our motivation, descriptions of datasets collection processes as well as some experimental results can be found in the articles:
- Night-haze: "Filin, A., Kopylov, A., Seredin, O., & Gracheva, I. (2022, July). Hazy images dataset with localized light sources for experimental evaluation of dehazing methods. In The 6th International Workshop on Deep Learning in Computational Physics (p. 19)." (https://pos.sissa.it/429/019/pdf)
- Night-haze-ext: article in progress.

Please, use night-haze.bib and night-haze-ext.bib (see Files section) for the corresponding references.
DOI: 10.17632/mdkk36jbhb
title: RABINDRANATH TAGORE’S THEATRE AND THE PROFESSIONAL STAGE : CONFLUENCE, CONFLICT, AND REVIVAL

description: Abstract:
Although Rabindranath Tagore's plays are a unique addition to Bengali literature, their acceptance on the professional stage has always been paradoxical. On one hand, Rabindranath’s dramas hold immense significance in the group theatre movement; on the other, they have struggled to fit within the framework of commercial theatre. Due to their abstract themes and philosophical depth, these plays have not aligned well with popular theatre culture. However, a few plays, such as Chirakumar Sabha, Bisarjan, and Dakghar, have found success on the professional stage. With the rise of the group theatre movement in the mid-20th century, Tagore’s plays experienced a revival. This study explores the limitations, successes, and cultural impact of incorporating Rabindranath’s dramas into professional theatre.
Keywords: Rabindranath’s plays, professional stage, group theatre, theatre philosophy, Shishir Kumar Bhaduri, commercial theatre, cultural impact. 
Introduction:
The history of Bengali theatre bears witness to a multifaceted evolution. In the late 19th century, Rabindranath Tagore introduced a new dimension to theatre, where art, philosophy, and poetic expression were intricately intertwined. However, the position of Rabindranath’s plays on the professional stage has always been a subject of debate. Traditional theatrical conventions prioritize intense emotions, dramatic conflict, and entertainment-driven presentation, whereas the intrinsic essence of Rabindranath’s plays—marked by abstraction, contemplative philosophy, and subtlety—has often been deemed unsuitable for this framework. 
Despite these limitations, Rabindranath’s plays have become an integral part of Bengali theatre. With the emergence of group theatre and the contributions of eminent theatre personalities like Shishir Kumar Bhaduri, Shambhu Mitra, and Utpal Dutt, a new era for Rabindranath’s plays was ushered in. This research paper analyzes the oscillation of acceptance, specific instances of success, and the overall impact of Rabindranath’s plays on the professional stage.
DOI: 10.6084/m9.figshare.17086259.v1
title: The influence of the number of tree searches on maximum likelihood inference in phylogenomics

description: This repository contains 19,414 multiple sequence alignments from 15 phylogenomic studies, all gene trees, and 20,000 simulated genes and trees.
<br>
Each folder corresponds to each topic in our study.
<br>
Please let me know if you have any questions about them.
<br>
email: xingxingshen@zju.edu.cn
DOI: 10.17632/pnhx25fm9s
title: Unveiling Behavioral Economics through meat consumption in the EU by examining macroeconomic and ESG Factors with multiple econometric models

description: Research Hypothesis and Objectives

This study investigates the determinants of meat consumption in the European Union (EU) by integrating macroeconomic and ESG (Environmental, Social, and Governance) factors within a behavioral economics framework. The key research question is:

How do economic conditions, environmental sustainability factors, and demographic characteristics influence meat consumption patterns in the EU?

The main hypotheses tested include:

Economic factors: GDP and GDP per capita (PPP-adjusted) positively influence meat consumption, while unemployment reduces it.

Environmental factors: Methane emissions correlate positively with meat consumption, while livestock availability affects demand.

Policy factors: Government expenditure and inflation may impact consumption patterns.

Demographics: Population growth and income classification influence meat demand.

Data Description

The dataset consists of panel data from 27 EU member states (2000–2021), with 580 observations. Sources include World Bank, FAO, Eurostat, and the European Environment Agency.

Key Variables:

Dependent: Meat consumption (kg per capita per year).

Independent: GDP, GDP per capita (PPP), unemployment, inflation, livestock availability, methane emissions, government expenditure, and population growth.

Findings and Interpretation

GDP per capita and GDP PPP are strong predictors of higher meat consumption, while unemployment negatively impacts demand.

Methane emissions significantly correlate with meat consumption, linking livestock production to environmental degradation.

Livestock availability influences demand, though less than economic conditions.

Government expenditure and inflation show no significant effect.

Population growth does not directly affect meat consumption, and income ranking is not a strong determinant.

Policy Implications

Sustainability strategies: Carbon pricing for high-emission livestock and incentives for plant-based diets.

Economic measures: Strengthening employment programs to maintain dietary stability.

Environmental regulations: Stricter livestock emission policies and investments in alternative protein sources.

Conclusion

This dataset offers valuable insights for policymakers and researchers on economic, environmental, and policy-driven influences on food consumption. It can be used to develop predictive models, assess economic policies, and analyze sustainability strategies for balancing meat consumption with environmental goals.
DOI: 10.6084/m9.figshare.25780116.v1
title: Invasive Ponto-Caspian amphipods are less carnivorous outside their native range

description: The folder contains two files in csv format:1) Table_S2_raw_stable_isotope_measurements.csv - containing stable carbon and nitrogen isotope values2) Table_S4_raw_morphometric_measurements.csv - containing raw morphometric measurements (mm) of feedig-related functional traits for Dikerogammarus villosus and Pontogammarus robustoides
DOI: 10.6084/m9.figshare.28104782.v3
title: Surgical LAparoscopic Motions

description: Laparoscopic surgery has been widely used in various surgical fields due to its minimally invasive and rapid recovery benefits. However, it requires surgeons to have exceptional technical expertise to overcome challenges such as limited surgical space, restricted visual feedback, and the need for high precision. The rapid development of computer vision and deep learning in surgical action recognition provides essential technical support for improving surgical navigation, training, and postoperative evaluation. Despite this progress, existing publicly available datasets have limited scale, high homogeneity, and inconsistent labeling quality, making it challenging to meet the needs of deep learning models. To address the above issues, we developed the dataset (Surgical LAparoscopic Motions), which encompasses various surgical types. The dataset includes annotations for seven key actions: Abdominal Entry, Use Clip, Hook Cut, Suturing, Panoramic View, Local Panoramic View, and Suction. Experienced medical experts meticulously reviewed the annotations to ensure high quality and clinical accuracy. This dataset aims to promote the development of laparoscopic surgical action recognition and artificial intelligence-driven surgery, supporting intelligent surgical robots and surgical automation.
DOI: 10.6084/m9.figshare.5122738.v1
title: Supplementary Material for: Overexpression of GDF5 through an Adenovirus Vector Stimulates Osteogenesis of Human Mesenchymal Stem Cells in vitro and in vivo

description: The use of stem cells combined with gene therapy could be an important way to facilitate bone regeneration. In this study, the aim was to investigate the potential of growth and differentiation factor-5 (GDF5) to genetically manipulate human mesenchymal stem cells (hMSCs) for bone regeneration. Recombinant adenovirus Ad-GDF5 and Ad-GFP were constructed and identified, and the titer of both were determined. Third-passage hMSCs were infected with adenovirus, and the expression of GDF5 was confirmed by detection of GFP-positive cells, GDF5 mRNA levels, Western blotting, and enzyme-linked immunosorbent assay (ELISA). hMSCs at passage 3 were divided into four groups: (1) an experimental group infected with Ad-GDF5, (2) a positive control group cultured with osteogenic differentiation medium, (3) a control group infected with Ad-GFP cultured with standard medium, and (4) a blank control group cultured with standard medium. Evaluation of cell morphology and proliferation, analysis of the expression of genes related to osteogenic differentiation, von Kossa staining, and immunofluorescent staining of collagen I were used to investigate the osteogenesis of cells among the groups. After culturing the cells for 2 days under each corresponding condition, the cells were detached and subcutaneously injected into the backs of nude mice to evaluate bone formation. Samples were collected for histological staining, protein Western blotting, and micro-computer tomography. When infected with Ad-GDF5, hMSCs could overexpress GDF5 for a prolonged period in vitro and reach a concentration of 160 ng/ml. Cells infected with Ad-GDF5 or cultured in osteogenic medium displayed osteogenic differentiation based on their histological and cellular properties and on their gene and protein expression patterns. Furthermore, Ad-GDF5 showed a better ability to upregulate the expression of collagen I, alkaline phosphatase, and osteocalcin mRNA than the osteogenic medium. Furthermore, Ad-GDF5 expression was associated with enhanced bone formation in vivo. Our findings suggest that hMSCs infected with Ad-GDF5 can differentiate in an osteogenic direction and may be a promising cell source for bone regeneration.
DOI: 10.6084/m9.figshare.25097462.v1
title: IEEE-118 distribution network data

description: The dataset contains the resistance and reactance data of IEEE-118 distribution system, active and reactive power data of IEEE-118 distribution system.
DOI: 10.6084/m9.figshare.3370414.v7
title: Dados Criminais do Estado de São Paulo

description: Dados sobre a criminalidade do estado de São Paulo.Inclui dados sobre homicidios, lesão corporal, registros de IML, dentre outras ocorrências policiais.
DOI: 10.17632/38dt88zdc7
title: The origins of the killer whale ecomorph

description: This dataset is in nexus format and includes the constraint and most parsimonious trees. A separate matrix is included that includes many observations from individual specimens that were used to create composite operational taxonomic units. Analysis of this dataset supports a new species of fossil dolphin as a close relative of Pseudorca and that Orcinus is the sole living species of a once diverse clade. When combined with observations on fossil specimens, our study supports the hypothesis that the macroraptorial feeding in Pseudorca and Orcinus evolved recently, well after gigantism evolved in baleen whales.
DOI: 10.6084/m9.figshare.11358929.v2
title: Metadata record for: Depth-to-bedrock map of China at a spatial resolution of 100 meters

description: This dataset contains key characteristics about the data described in the Data Descriptor Depth-to-bedrock map of China at a spatial resolution of 100 meters. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format <br><br>Versioning Note:Version 2 was generated when the metadata format was updated from JSON to JSON-LD. This was an automatic process that changed only the format, not the contents, of the metadata.<br>
DOI: 10.6084/m9.figshare.12199760.v1
title: GWAS elite endurance athletes

description: <b>Genome-wide association study reveals a novel association between gene polymorphism, endurance athlete status, aerobic capacity and steroid metabolism</b>
DOI: 10.6084/m9.figshare.12654479.v1
title: Absorbance values for antioxidant activity.xlsx

description: The data contains replicate absorbance values for DPPH, TAC and ABTS. It also contains replicate phytochemical analysis results and MIC values of antibacterial activity of the extracts.
DOI: 10.6084/m9.figshare.14760147.v4
title: Knowledge, Attitude and Behaviours (KAB) on diet, physical activity, and tobacco use among school students : Survey Dataset

description: This dataset is for the study titled "Knowledge, Attitude and Behaviours (KAB) on diet, physical activity, and tobacco use among school students : A cross-sectional study in two Indian states". This dataset shows participant ID; socio-economic details of the student participants; knowledge, attitude and behaviour responses regarding their diet, physical activity and tobacco consumption. Multiple variables were used to compute the final score of knowledge, attitude and behaviour for each student participant of this study.
DOI: 10.17632/f794gbr43d
title: Multicultural education Bibliometric analysis

description: Data was retrieved from the SCOPUS database to conduct bibliometric analysis. Data consist from 2012 to 2023.
DOI: 10.17632/jbt6nzz9gr
title: Comprehensive Dataset on 1688 Sannio–Matese Earthquake Environmental Impact

description: The 1688 Sannio–Matese earthquake that struck the province of Benevento in Southern Italy on June 5 had a profound impact on the region. This seismic event caused extensive damage and significant environmental effects with I=XI Mercalli-Cancani-Sieberg (MCS) and Mw=7.0. Our study addresses a critical knowledge gap regarding the earthquake's environmental effects by compiling a comprehensive dataset documenting the environmental seismic impact of the earthquake. 
We present a dataset of 43 environmental effects of the earthquake (EEEs), organized in a table format. For each locality where an EEE has been documented, the dataset includes the following information:
• ID label: an identification number;
• Locality: the geographic location where the EEE occurred; 
• Latitude and longitude: the geographic coordinates of EEE; 
• Epicentral distance (km): the distance from the epicenter of the earthquake to the locality of the EEE;
• IMCS: the local macroseismic intensity assessed using the MCS (Mercal-li-Cancaci-Sieberg) scale from the CFTIMed catalogue;
• Earthquake's Environmental Effects (EEEs): the type of the environmental effect, such as ground cracks, gas exhalation, hydrological anomalies, liquefaction, surface faulting, slope movements and jumping stones; 
• Class of EEEs: describes if the effect is primary (P) and/or secondary (S); 
• Main source of information coeval with the 1688 earthquake: describes the observed effect provided by the information coeval with the earthquake; 
• All contemporary and post-earthquake sources: contains all the consulted original literatures that reports the event;
• IESI: is the local macroseismic intensity assessed using the ESI-07 scale.

This study offers a critical reassessment of the earthquake's magnitude using environmental criteria, shedding light on the significance of environmental effect distribution for seismic hazard evaluations and land-use planning in the Sannio–Matese region. The results have the potential to improve seismic hazard models and guide strategies for infrastructure resilience, providing actionable data to mitigate risks in the Sannio-Matese area.
DOI: 10.17632/ngvg6fy8wp
title: Replication package for the manuscript INEC-D-23-00036R1

description: This directory replicates all tables and figures in the manuscript INEC-D-23-00036R1
DOI: 10.17632/p4z5phswcx
title: Data for: Why the Chinese Government should be present: A Comparative Analysis of the Economic Model of the High Tech Entrepreneurship of China and the United States

description: include the data, code and figure of the paper