cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28937942.v1
title: Hamid's Novels Corpus (HNC)

description: Hamid's Novels Corpus
This corpus contains the complete text of all five novels by acclaimed Pakistani author Mohsin Hamid, compiled for research purposes as part of an M.Phil. English Linguistics thesis titled "Corpus Stylistic Analysis of Mohsin Hamid's Novels." The corpus includes the following works:

Moth Smoke (2000) - Hamid's debut novel following Darashikoh Shezad, an ex-banker and heroin addict who falls for his best friend's wife, presented as a trial where the reader serves as judge.

The Reluctant Fundamentalist (2007) - A monologue by Changez, a Pakistani man who recounts his journey from Princeton scholarship student to high-flying New York professional, and his subsequent disillusionment with the American Dream following 9/11.

How to Get Filthy Rich in Rising Asia (2013) - Written in the second person, this novel follows "you," a poor village boy seeking wealth while potentially falling for a pretty girl along the way.

Exit West (2017) - The story of young lovers Saeed and Nadia who flee their war-torn city through mysterious black doors that allow people to instantly relocate across the globe.

The Last White Man (2022) - Hamid's most recent novel about Anders, who wakes up one morning to discover his skin has turned dark, and together with his girlfriend Oona, navigates a world where this transformation begins to spread.

This corpus has been developed to facilitate linguistic analysis of Hamid's distinctive narrative style, thematic concerns, and linguistic patterns across his body of work. Researchers can use this resource to examine word frequency, collocations, semantic fields, and other linguistic features that contribute to Hamid's exploration of themes such as identity, migration, class struggle, moral ambiguity, and the intersection of East and West.

The corpus serves as a comprehensive linguistic resource for scholars interested in applying corpus stylistic methodologies to contemporary Pakistani literature in English, particularly focusing on how Hamid's language choices reflect and construct his narrative worlds and socio-political critiques.
<br>
DOI: 10.17608/k6.auckland.5466595.v2
title: The attributes of high achieving secondary school students and their teachers

description: This Excel spreadsheet contains a qualitative set of data collected from a questionnaire administered to 583 secondary school students across New Zealand in 2016. Students were surveyed about their perceptions of the attributes of academically successful students and their best and worst secondary school teachers. Demographic data were also collected which included (age, sex, ethnicity, parent education).<br><br>
DOI: 10.17632/cn54hwyt5b
title: Data on commodity index investment in corn, soybeans, WTI crude oil and natural gas

description: The data is in Stata format and includes 2 files. The file named Agric has variables: spot price of Chicago corn and Chicago soybeans, the futures price of Chicago corn and Chicago soybeans and long positions of commodity index traders. The file named Energy contains variables on spot and futures prices of WTI crude oil and Henry Hub natural gas. The data is originally obtained from US commodity futures trading commission
DOI: 10.26188/5da556bad2165
title: EPiC database - Polypropylene (PP) sheet

description: This material is part of the free Environmental Performance in Construction (EPiC) Database. The EPiC Database contains embodied environmental flow coefficients for 250+ construction materials using a comprehensive hybrid life cycle inventory approach.<br><br>Polypropylene (PP) is a thermoplastic polymer and second most produced plastic. It has similar properties to polyethylene (PE), including high impact strength and ductility, but is harder and more resistant to heat.<br><br>PP is produced by polymerising chains of propylene monomers through different catalysts. Different catalysts can result in different PP properties. PP is then moulded or extruded. Different additives can enhance the properties of PP, e.g. antistatic, dust resistant, and colouring.<br><br>PP is mostly used in construction as a membrane (including as a water vapour membrane).
DOI: 10.6084/m9.figshare.15067533.v1
title: Reviews Data

description: This dataset includes 41,253,535 Goodreads “reviews”. Reviews, in Goodreads terminology, refer to any addition of books to their profiles and does not necessarily mean the user has read the book or has provided a written review for it. The information included for each review is as follows:<br>* Anonymized book ID<br>* Anonymized user ID<br>* Date the review was added (generated by the system)<br>* Date the review was updated (generated by the system)<br>* Date the user started reading the book (added by the user as a result it is often empty)<br>* Date the user finished reading the book (added by the user as a result it is often empty)<br>* Rating (an integer rating given to the book)<br>* A list of shelve names (please refer to the paper for more details)<br>* Numerical length of the review’s text<br>* A boolean indicator of if the user owns the book <br>* The number of times the user has read the book <br>* The number of users who have liked this review<br>Please cite the corresponding paper:Nazanin Sabri, Ingmar Weber: A Global Book Reading Dataset. MDPI Data, 2021.
DOI: 10.6084/m9.figshare.9255596.v2
title: gDNA Sequencing

description: ab1 files gDNA sequencing
DOI: 10.6084/m9.figshare.16611574.v1
title: Healthy Abseq sorts Figure 1

description: Healthy Abseq sorts Figure 1<br><br>Caspase 3/7 and DAPI negative CD34+ cells were gated in order to sort CD34+ and CD34- BM
DOI: 10.6084/m9.figshare.20239125.v1
title: 3D Velocity Vector Fields - Tracheal Flow

description: 3D vector fields measured using tomographic particle image velocimetry in Tecplot's Sub-Zone Load-on-demand (*. szplt) format. <br> For comparison to CFD, scaling is required to factor for differences in fluid temperature and viscosity.
DOI: 10.6084/m9.figshare.24038325.v1
title: DME_DATA

description: These experiments are used for evaluating algorithms for detecting disease-causing SNPs.The real data is originally genereted by [1] and [2].The simulations and experiments are designed by [3].<br><br>[1] Yang C-H, Lin Y-D, Chuang L-Y, Chang H-W. Evaluation of breast cancer susceptibility using improved genetic algorithms to generate genotype SNP barcodes. IEEE/ACM transactions on computational biology and bioinformatics. 2013;10(2):361-71.[2] Li X, Jiang W. Method for generating multiple risky barcodes of complex diseases using ant colony algorithm. Theoretical Biology and Medical Modelling. 2017;14(1):1-12[3] Tuo S, Liu H, Chen H. Multipopulation harmony search algorithm for the detection of high-order SNP interactions. Bioinformatics. 2020;36(16):4389-98<br><br>
DOI: 10.6084/m9.figshare.25306018.v1
title: OTU table

description: OTU table of the study entitled: <b>Drought influences the fungal community structure, diversity, and functionality inhabiting the grapevine xylem and enhances the abundance of</b><b> </b><b><i>Phaeomoniella chlamydospora</i></b>
DOI: 10.6084/m9.figshare.25894840.v1
title: Datasets of LTF

description: The real-world datasets of open class temporal graphs from Yelp, Reddit, and Amazon.
DOI: 10.6084/m9.figshare.29069636.v1
title: <b>Single-cell landscape of embryonic skeletal muscle reveals the regulation of myofiber fate determination in birds</b>

description: the comprehensive embryonic skeletal muscle single-cell atlas of birds
DOI: 10.17632/9fkyf68mzc
title: Regional variations in non-communicable comorbid diseases and its management in the patient of medical retinal diseases in India.

description: This supplementary data provides a comprehensive overview of a multi-center study on medical retinal diseases (MRDs) and non-communicable comorbid diseases (NCCDs) across different regions of India. The data is presented in five tables:

Table 1: Distribution of patients according to demographic characteristics

Presents age and gender distribution across six centers in different regions of India
Includes mean, median, and range of body weight and BMI for each center


Table 2: Distribution of patients according to retinal disease characteristics

Shows the prevalence of various retinal diseases (DR, BRVO, CRVO, ARMD) across centers
Includes both single and multiple retinal disease occurrences


Table 3: Distribution of patients according to multiple retinal diseases

Provides a detailed breakdown of patients with multiple retinal diseases
Highlights regional variations in the co-occurrence of different retinal conditions


Table 4: Zone-wise distribution of Non-communicable comorbid diseases and addiction history

Presents the prevalence of various NCCDs (e.g., DM, HTN, CAD, CKD) across centers
Includes data on addiction history (alcohol and tobacco use)


Table 5: Zone-wise distribution of Non-communicable comorbid diseases and their management

Offers insights into the management strategies for various NCCDs across centers
Provides data on medication types and interventions for conditions like DM, HTN, CAD, and CKD



Key observations:

Significant regional variations in the prevalence of both MRDs and NCCDs
High prevalence of diabetes and hypertension across all centers
Varying patterns of multiple comorbidities and retinal disease co-occurrences
Differences in management strategies for NCCDs across regions

This data provides valuable insights into the complex interplay between retinal diseases and systemic comorbidities across different regions of India, highlighting the need for tailored healthcare strategies.
DOI: 10.17632/pmc4g589gk
title: Maxillofacial fracture detection and classification in computed tomography images using convolutional neural network-based models

description: Maxillofacial fracture detection and classification in computed tomography images
using convolutional neural network-based models
DataCreated By :Prof: Eldirdiri Fadol Ibrahim Fadol Khalili

 Here is the description of the dataset maxillofacial_fracture_data:

 Dataset: maxillofacial_fracture_data

 Number of Samples: 100

 Image Dimensions: 64x64 pixels

 Number of Classes: 5 (Class labels ranging from 0 to 4)

Columns in the Dataset:

 pixel_0, pixel_1, ..., pixel_4095:

Description: Each column represents the pixel value at a specific position in a flattened 64x64 image. The pixel values are normalized and range between 0 and 1.

 Data Type: Float

 label:

 Description: The class label of the image. It is an integer value representing the class to which the image belongs.

 Data Type: Integer

 Detailed Description
Image Data:

 The image data is flattened from a 2D array (64x64) into a 1D array (4096). Each image has 4096 pixel values, and each value represents the intensity of a pixel in the image.
 These pixel values are normalized, meaning they lie between 0 and 1. Normalization is a common preprocessing step in image processing to make the training of neural networks more efficient.

Class Labels:

 The class label indicates the type of maxillofacial fracture detected in the image. The labels are integers from 0 to 4, representing different types or categories of fractures.
 The exact meaning of each label (e.g., what type of fracture each number represents) should be defined based on your specific use case or dataset documentation.
import pandas as pd

# Define the file path for the dataset
file_path_data = "E:\\maxillofacial_fracture_data.xlsx" # Update this path as necessary

# Load the dataset
df = pd.read_excel(file_path_data)

# Display the first few rows of the dataframe
print("First few rows of the dataset:")
print(df.head())

# Display the summary of the dataframe
print("\nSummary statistics of the dataset:")
print(df.describe())

# Display the information about the dataframe
print("\nInformation about the dataframe:")
df.info()
Detecting and classifying maxillofacial fractures in computed tomography (CT) images
using convolutional neural network (CNN)-based models is a cutting-edge application of deep
learning in medical imaging.
Here's a detailed approach to implement this using R and TensorFlow/Keras libraries
DOI: 10.6084/m9.figshare.15101280.v1
title: README

description: Pointer to subsequent analyses<br>
DOI: 10.6084/m9.figshare.21572367.v1
title: Supplemental Table S1

description: Supplemental Table S1 in "Limited effect of over-the-counter doses of ibuprofen on mechanisms regulating muscle hypertrophy during resistance training in young adults"
DOI: 10.6084/m9.figshare.24711825.v1
title: Data for: Photoinduced charge separation and DNA self-repair depend on sequence directionality and stacking pattern

description: This directory contains the key computational data generated for the research generated for the research article entitled 'Photoinduced charge separation and DNA self-repair depend on sequence directionality and stacking pattern' by Kufner, C.L.*, Crucilla, S., Ding, D., Stadlbauer, P., Sponer, J., Szostak J.W., Sasselov D.D., Szabla, R.*. The article was resubmitted to the journal Chemical Science in December 2023, after revisions. The directories included here are listed below together with a brief description:- QMMM-pdb-files: final PDB files containing the minimum-energy geometries of the key points on excited-state and ground-state potential energy surfaces as discussed in the main article. The names of the files should be self-explanatory and correspond to the naming used in the main article. GS - ground state, S1 - first excited state, CI - conical intersection.- QMMM-results: directories containing raw data from the key QM/MM calculations.- clustering-based-on-MD: two sub-directories containing PDB files with the structures of clusters generated after processing of the molecular-dynamics (MD) trajectories, and .dat files containing information about cluster populations.- xyz-files: final xyz files containing only the structures of nucleobases or the whole tetranucleotide resulting from the QM/MM geometry optimizations. These structures are equivalent to the PDB files, albeit containing smaller fragments of the whole system (no MM part).<br>
DOI: 10.17632/4twnn4546j
title: OCULAR BIOMETRY DATA

description: Cataract surgery data
DOI: 10.17632/dp8bjwkm9s
title: Data set of the article "Mental Health Conditions of Adolescent Population: An Ap-proach to Risk"

description: Data set related to the reported findings of the manuscript entitled "Mental Health Conditions of Adolescent Population: An Ap-proach to Risk, which describes the sociodemographic characteristics of the participating population and the responses obtained in the questionnaire.
DOI: 10.6084/m9.figshare.26300515.v1
title: Supporting data (images): AI Detectors are Poor Western Blot Classifiers: A Study of Accuracy and Predictive Values.

description: This folder gives the supporting data for the manuscript entitled: AI Detectors are Poor Western Blot Classifiers: A Study of Accuracy and Predictive Values. It contains:The cropped versions of authentic Western blots.The full AI-generated images (including failed images) in the "Chat" 01-04 folders.The cropped versions of AI-generated images.There were no ethical issue related to human or animal research in this project. All analyses were performed on already published historical data or images generated by ChatGPT.
DOI: 10.6084/m9.figshare.28524848.v2
title: Climate Feature Dictionary and Climate Loss Concern Dictionary

description: This dataset consists of a climate feature dictionary and a climate loss concern dictionary. The climate feature dictionary provides seed words for nine types of climate events (heavy rain, hail, low temperature, drought, high temperature, lightning, sandstorm, typhoon, and smog). The original output is in Chinese. The climate loss concern dictionary includes three columns: risk, positive, and negative. The risk column contains 1,820 descriptions of climate risk losses as perceived by the public, with both the original Chinese versions and their English translations provided.Both Chinese and English versions of these two dictionaries are provided, with the English version being directly translated from the Chinese. Although the translations have been reviewed and calibrated, non-Chinese readers are reminded that, when reproducing or extending this research, the differences between English and Chinese linguistic contexts should be taken into consideration, and the English vocabulary list should be used appropriately.
DOI: 10.6084/m9.figshare.7066385.v1
title: Functional analysis of the M. oryzae CKa pulldown proteins

description: Functional classification of CKa binding proteins with and without unfolding motif from the conservative pulldown in list (Table S1) using the FungiFun database https://elbe.hki-jena.de/fungifun/
DOI: 10.17632/jyh957chr8
title: Data for Christ et al. (2025)

description: Data used to create Figures 2 and 3.
DOI: 10.6084/m9.figshare.1541151.v1
title: OpenMIIR - a public domain dataset of EEG recordings for music imagery information retrieval

description: Music imagery information retrieval (MIIR) systems may one day be able to recognize a song just as we think of it. As a step towards such technology, we are presenting a public domain dataset of electroencephalography (EEG) recordings taken during music perception and imagination. We acquired this data during an ongoing study that so far comprised 10 subjects listening to and imagining 12 short music fragments - each 7s-16s long - taken from well-known pieces. These stimuli were selected from different genres and systematically span several musical dimensions such as meter, tempo and the presence of lyrics. This way, various retrieval and classification scenarios can be addressed. The dataset is primarily aimed to enable music information retrieval researchers interested in these new MIIR challenges to easily test and adapt their existing approaches for music analysis like fingerprinting, beat tracking or tempo estimation on this new kind of data. We also hope that the OpenMIIR dataset will facilitate a stronger interdisciplinary collaboration between music information retrieval researchers and neuroscientists.
DOI: 10.6084/m9.figshare.28165337.v1
title: Table S1.docx

description: A high-quality genome of <i>D. sapinea</i> strain ZXD319 was sequenced utilizing the Nanopore PromethION and BGI DNBSEQ-T7 platforms.
DOI: 10.6084/m9.figshare.29046641.v1
title: Dataset for manuscript: Mangrove structure, composition, and distribution through restoration of Indonesia’s mangrove: A systematic review

description: Suplementary Information for Mangrove structure, composition, and distribution through restoration of Indonesia’s mangrove: A Systematic Review
DOI: 10.6084/m9.figshare.7928579.v1
title: gVCF_HG03862

description: 1000 Genomes gVCF mapped to hs37d5 for HG03862. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.21310500.v1
title: Impact of COVID-19 on gender gap in dental publications: a retrospective cohort with three Brazilian journals

description: Abstract This was a retrospective cohort study to investigate the impact of COVID-19 pandemic on the gender gap in articles submitted to three international dental journals based in Brazil. All submissions performed to Brazilian Dental Journal, Brazilian Oral Research, and Journal of Applied Oral Science before (2019) and during the pandemic (2020) were assessed. Gender of the first, last, and corresponding authors were collected. Other variables collected were journal, continent studied by authors and stage of their careers (classified according to authors’ highest degree), and final decision reached in the article. Absolute and relative frequencies with 95% confidence intervals, Pearson’s Chi-square tests, and Fisher’s Exact test were used (α = 0.05). In total, 4,726 unique submissions were analyzed. A higher proportion of early-career authors was observed during the pandemic (44.8% to 49.3%, p = 0.021). Most articles were rejected but without association with gender. Increased proportion of male first authors from before to during the pandemic was observed (39% to 42.1%, p = 0.034). Drop in the proportion of articles with women as first authors was observed for researchers in their early- (65.9% to 58.8%, p = 0.02) and mid-career stages (63% to 55.8%, p = 0.014). Reduction in women as first authors was observed during the pandemic in South and Central Americas (66.7% to 61.5%, p = 0.010), and when the last author was a female, or the corresponding author was a male. In conclusion, a disproportionate impact on female dental researchers in submitting articles in the period from before to during the pandemic was observed when considering first authorship, suggesting that the COVID-19 may have increased the gender inequality in dental science.
DOI: 10.6084/m9.figshare.27003067.v1
title: Supplementary Material for: Lung tensioning device coil treatment in patients with severe emphysema: a prospective safety and feasibility trial (EFFORT)

description: Introduction: Currently, there is a lack of bronchoscopic lung volume reduction options that do not depend on fissure integrity. Endobronchial coils have been extensively studied to address this need, but exhibited variable patient response and have been discontinued. Lung Tension Device (LTD) coils represent the next-generation coil treatment. This study aimed to evaluate safety, feasibility, and efficacy of LTD-coil treatment. 

Methods: Patients with advanced emphysema and hyperinflation were enrolled at two European sites. LTD-coils (FreeFlow Medical, CA, USA) were implanted in the two most destructed lobes, as determined by quantitative CT analysis, in two separate procedures. The primary endpoint was 3-month follow-up after the last treatment. 

Results: Fourteen patients (50% male, median age 64 years, FEV1 23%predicted, RV 249%predicted) received LTD-coil treatment: 12 received bilateral and 2 unilateral treatment. Six serious respiratory adverse events occurred within the initial 3 months post-treatment, including one device-associated death. Treatment significantly reduced in- and expiratory volume of the treated lobes (-410[-710,-340], p=.004 and -650[-730,-190] mL, p &lt;.001, respectively) and improved quality of life (SGRQ total score -4.6[-21.0,-2.6], p&lt;.001). However, at a group level, no significant improvements in pulmonary function or 6-minute walk distance were observed. Responder rates ranged from 18% to 54% for the different endpoints. 

Conclusion: This first-in-human study shows that the new LTD-coil procedure is feasible with a safety profile comparable to the previous coil treatment. While the treatment effectively reduced lobar volume and modestly improved quality of life up to 3 months follow-up, at a group level it did not significantly enhance pulmonary function or exercise capacity.
DOI: 10.6084/m9.figshare.27641199.v2
title: fragility for seizure

description: dataset of fragility for seizure
DOI: 10.6084/m9.figshare.28785917.v1
title: Water Quality Model of YC Town's Water Distribution Network

description: Dead-ends are points in water distribution networks (WDNs) where water flow is almost stagnant, leading to pipe corrosion and microbial growth, which degrade water quality. Controlling the contaminant dispersion in dead-ends is crucial for maintaining water quality. The developed predictive model developed from CFD data was integrated into the water quality model of YC Town's water distribution network, which was established based on the EPANET 2 software, resulting in an improved water quality model. The developed predictive model confirmed the effectiveness of spoilers in reducing YC town's WDN contaminants.