cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/mm6kst3krj
title: arXiv Scientific Research Paper Dataset

description: Description
This dataset comprises structured metadata from the arXiv repository, a widely used preprint server for scientific research. It includes paper titles, abstracts, categories (subject areas), and submission dates, making it a valuable resource for research in natural language processing (NLP), bibliometrics, machine learning, and scientific trend analysis.

Content
The dataset contains the following columns
1. id: Unique arXiv identifier for each paper.
2. title: The title of the research paper.
3. summary: Summary of the paper’s content, extracted from arXiv.
4. summary_word_count: Word count of the summary.
5. category: Subject categories assigned by arXiv.
6. category code: Category code for the research paper.
7. published_date: Publication date of the research paper.
8. updated_date: The last updated date is when the paper is updated.
9. authors: Authors of the research paper.
10. first_author: First Author mentioned in the paper.
DOI: 10.17632/pn43r3f7nd
title: Effect of L-alanine exposure during early life stage on olfactory development, growth and survival in age-0 lake sturgeon Acipenser fulvescens

description: Environmental factors play an important role in phenotypic development of fishes, which has implications for hatchery-reared fishes that are released into the wild where natural cues are present. There is interest in examining how early exposure to dietary odorants can affect development of olfaction. The aim of our study was to use behavioural, molecular, and electro-physiological techniques to evaluate how introduction of the amino acid L-alanine to the rearing environment might influence the development of olfactory perception of dietary cues, growth, and survival in lake sturgeon (Acipenser fulvescens), a species of conservation concern. We hypothesized that exposure to amino acids would influence the onset of feeding during dietary transitions from endogenous to exogenous feeding and predicted that the introduction of L-alanine during early development would promote growth and survival of age-0 lake sturgeon. Additionally, we hypothesized that olfaction in lake sturgeon is a developmentally plastic trait, predicting that the addition of L-alanine prior to exogenous feeding would influence mRNA transcript abundance of genes associated with detection of dietary cues. Our approach was to add L-alanine daily from 17–20 days post fertilization (DPF) before the onset of exogenous feeding. We sampled individuals at 17, 21, 26, 31, 50, 65 and 80 DPF. Additionally, olfactory sensitivity to L-alanine was tested at ~1 year via electro-olfactogram (EOG). We observed no significant differences in mortality or EOG response between L-alanine and control treatments; however, significant differences were observed in morphometrics, behaviour, and mRNA transcript abundance of all genes throughout development. Our results indicated the olfactory system exhibited developmental plasticity in response to L-alanine treatment until 50–65 DPF, suggesting that environmental odorants may influence early development of key olfactory processes. Our data could inform practices at conservation hatcheries that are used as part of enhancement programs for lake sturgeon.
DOI: 10.6084/m9.figshare.17789180.v1
title: ERP dataset

description: ERP data files. Input of "ERP analysis scripts".
DOI: 10.6084/m9.figshare.27601035.v4
title: <b>SMRFR: </b><b>A global multilayer soil moisture dataset</b><b> generated using Random Forest from multi-source data</b>

description: Accurate and continuous monitoring of soil moisture (SM) is crucial for a wide range of applications in agriculture, hydrology, and climate modelling. In this study, we present a novel machine learning (ML) based framework for generating a continuously updated, multilayer global SM dataset: SMRFR (Soil Moisture via Random Forest Regression). Leveraging publicly available reanalysis and remote sensing data, SMRFR provides daily SM estimates at five soil layers (0-5, 5-10, 10-30, 30-50 and 50-100 cm) with a spatial resolution of 9 km, covering the period from 2000 to 2023. Evaluation results demonstrate that SMRFR effectively captures both spatial and temporal SM variability. It also exhibits strong generalization capacity, successfully transferring knowledge across continents and accurately capturing transient and seasonal SM dynamics following rainfall events. SMRFR achieved an unbiased root mean square error of 0.0339 m3/m3 on the validation set. Our novel SM dataset offers a basis and valuable reference for agricultural, hydrological, and ecological research, enabling improved analysis and modelling of SM dynamics at regional to global scales. Due to the whole dataset for the global scale is too big (391.59GB) to deposit at once，we uploaded the data of 2000 to figshare. The whole dataset can be accessed at https://doi.org/10.11888/Terre.tpdc.301526.
DOI: 10.6084/m9.figshare.28749752.v2
title: Beijing subway station_rainfall_20230601-20230831

description: Rainfall data during the 2023 flood season in Beijing30 minute time granularity
DOI: 10.6084/m9.figshare.5436016.v1
title: Music.Impressionistic.MIDI

description: A collection of pieces of polyphonic music MIDI coded. This group is specifically for Impressionistic music. These files are intended to hear the actual sound of each piece of music. The text files behind these sonic files are analyzed and results are presented in DOI: 10.6084/m9.figshare.5435953 . You won't be able to directly ear music from these files. But you can download and open them with an audio-player software. To see the text representing the music you ear, open the file pretending it is a text-file.
DOI: 10.15468/dl.nswzjp
title: Occurrence Download

description: A dataset containing 8607 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Plagiothecium undulatum (Hedw.) Schimp.",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 8607 records from 111 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013179-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/53vd6vmn4k
title: Islamic Quality Management System in Educational Institutions Dataset

description: This data was collected in August 2023. The participants for this research are Private Islamic Primary Schools around Malaysia with an aim to test the reliability and validity of instruments built regarding Islamic Quality Management System by the aid of Quranic text mining and previous literatures. From this dataset, the indicators for reliability and validity of instruments are interpreted.
DOI: 10.6084/m9.figshare.20022698.v2
title: CRY4 Benchmark data.xlsx

description: Benchmark data for various hash based signature schemes implemented in Rust, as part of a bachelors thesis.
DOI: 10.6084/m9.figshare.26816470.v1
title: Supplementary Material for: Association of molar incisor hypomineralization with hypomineralized second primary molars: an updated systematic review with a meta-analysis and trial sequential analysis

description: Introduction: There is a correlation between molar incisor hypomineralization (MIH) and hypomineralized second primary molars (HSPM), but this relationship has not been definitively confirmed. The purpose of this systematic review and meta-analysis was to reevaluate whether children with HSPM are more affected by MIH than non-HSPM children. 
Methods: A systematic search was conducted in four databases (PubMed, Embase, Web of Science and the Cochrane Library) for literature, published up to December 2022. Two independent reviewers conducted the study search and screening, quality assessment, and data extraction according to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) statement. The risk of bias assessment of all included cohort studies and case-control studies were assessed by the Newcastle-Ottawa Scale (NOS), and cross-sectional studies were assessed using the Agency for Healthcare Research Quality (AHRQ) scale. RevMan 5.4 software was used for all data analyses, with odds ratios (ORs) and 95% confidence intervals (CIs) as the effect measures. Sensitivity and subgroup analyses were conducted to identify the potential sources of heterogeneity among the studies. Publication bias was tested and corrected by funnel plots and Egger’s test. Trial sequential analysis (TSA) was performed using TSA 0.9.5.10 Beta software to control for type-1 and type-2 errors.
Results: A total of 12 studies involving 8,944 children were included in this meta-analysis. Compared with the non-HSPM group, the HSPM group had an increased likelihood of MIH (OR = 10.90, 95% CI = 4.59-25.89, P &lt;0.05). All the included studies were of moderate-to-high quality. TSA and sensitivity analyses suggested the robustness of this outcome.
Conclusion: This systematic review demonstrated a certain correlation between HSPM and MIH, suggesting that HSPM can play a predictive role in the occurrence of MIH. Further high-quality, multicenter and large-sample longitudinal studies are highly recommended.
DOI: 10.6084/m9.figshare.3523319.v1
title: Appendix A. A description of the 18 data sets included in the study.

description: A description of the 18 data sets included in the study.
DOI: 10.17632/hyxvvyfc2n
title: Runoff, soil and nutrient losses from gravel mulching

description: Runoff, soil and nutrient losses from gravel mulching: a field experiment with natural rainfall on the Loess Plateau of China
DOI: 10.4121/uuid:3b3b95c3-949b-4f37-be16-48e9f8cc2523
title: Software from the book: Introduction to Molecular Simulation and Statistical Thermodynamics

description: Software accompanying the book: ‘Introduction to Molecular Simulation and Statistical Thermodynamics’. For more detail on how to use the data and software, please consult the description.pdf
DOI: 10.17632/3bwkt2f9zj
title: A raster dataset of drought indices of soil moisture, groundwater and terrestrial water storage for Brazil

description: This raster dataset contains soil moisture, groundwater and terrestrial water storage drought indices for Brazil from February 2003 to March 2024, with a spatial resolution of 0.25°. The Water Storage Deficit Index (WSDI) (Sinha et al., 2017), Soil Moisture Drought Index (SMI) and Groundwater Drought Index (GWI) (Li; Rodell, 2015) are available, calculated, respectively, based on the Profile Soil Moisture, Root Zone Soil Moisture and Groundwater products of the Global Land Data Assimilation System (GLDAS) version 2.2 (Li et al., 2019; Li et al., 2020). The GLDAS 2.2 data were downloaded at daily temporal resolution and transformed into monthly data through averaging, resulting in monthly indices. 
To obtain the WSDI, SMI and GWI drought indices, the monthly anomalies of the respective variables were initially calculated in relation to a base period ranging from February 2003 to January 2024. The anomaly series were then deseasonalized by subtracting them from their monthly climatology. Finally, the resulting series were normalized based on their mean and standard deviation. Details of the index formulas can be found in Sinha et al. (2017) and Li; Rodell (2015) cited in related links.
DOI: 10.17632/dhpfcz3tcz
title: Data for: Long leg splinting for pediatric femur fractures

description: as above
DOI: 10.6084/m9.figshare.21975878.v1
title: ERnet datasets

description: supporting datasets of ERnet construction and characterisation
DOI: 10.6084/m9.figshare.8079893.v2
title: Gold Open Access 2013-2018 (GOA4)

description: Gold Open Access 2013-2018: articles in issues (GOA4) is the dataset behind the GOA4 PDF and paperback: one row for each of 12,415 in the Directory of Open Access Journals as of the start of 2019, showing article counts and other added information. [PubCat data restored with modifications]<br>
DOI: 10.17632/cwzhsyp6pd
title: The MOOSE fluid properties module

description: The Fluid Properties module within the Multiphysics Object-Oriented Simulation Environment (MOOSE) is used to compute fluid properties for numerous applications, ranging from nuclear reactor thermal hydraulics to geothermal energy. Those applications drove the development of the module to enable numerous different fluid equations of states, property lookups with primitive and conserved flow variable to cater to pressure and density-driven solvers, and an object-oriented design facilitating expansion and maintenance. Each fluid property is implemented in its own class but inherits capabilities such as automatic differentiation, automated out-of-bounds handling or variable conversion capabilities. This paper presents the module, its design, its user and developer interface, its content in terms of fluids and properties, and several of its applications showing its major role in the MOOSE simulation ecosystem.
DOI: 10.17632/jpb5tds9f6
title: Stroke_Analysis

description: This data set contains primary attributes like Age, NIHSS, mRS, Systolic Blood pressure, Diastolic blood pressure, Glucose, Paralysis, Smoking, BMI, Cholesterol with standard deviation values 23.69, 11.27, 1.87, 24.92, 18.34, 56.11, 1.106, 0.9, 6.23, 20.26 and Mean values 47.12, 18.12, 3.67, 153.09, 103.65, 225.85, 1.36, 0.88, 33.73, 217.53
DOI: 10.6084/m9.figshare.17121986.v1
title: ChEMBL data sets

description: The standardised ChEMBL data sets from publication "HyFactor: Hydrogen-count labelled graph-based defactorization Autoencoder"
DOI: 10.6084/m9.figshare.28256123.v3
title: <b>Soil Fungal Diversity, Network Structure and Distribution in Different Habitats of Southwestern Tibet</b>

description: This study applied ITS high-throughput sequencing to analyze the composition, diversity, and network structure of soil fungal communities in different habitats in the southwestern Tibetan Plateau.
DOI: 10.6084/m9.figshare.28367549.v1
title: Original data.zip

description: This study aimed to investigate the mechanism of osteosarcoma progression.
DOI: 10.6084/m9.figshare.7710572.v1
title: Lizard assemblages on sandy coastal plains in southeastern Brazil: An analysis of occurrence and composition, and the role of habitat structure

description: Abstract Data on the structure of lizard communities in the different biomes and ecosystems of Brazil are still limited. In this study, we related the species richness, abundance and the spatial occurrence of lizards to the structure of the vegetation found on the coast of the state of Espírito Santo, southeastern Brazil, to determine whether habitat influences the structure of lizard communities. We conducted fieldwork in 2012, 2013 and 2014, collecting data in standardized samples. We analyze whether variables of vegetation structure influenced species richness and abundance, using Generalized Linear Models (GLMs). We recorded 12 lizard species from eight families. In general, species richness and abundance were similar among sites. Locally, we recorded the highest species richness in shrubby vegetation, open Clusia vegetation, and the restinga forest zone. Bromeliads explained the occurrence of teiids, although there was no systematic relationship between species richness and vegetation structure. Our results provide important insights into the characteristics of the lizard communities found on sandy coastal plains and contribute to the conservation of these species in these ecosystems.
DOI: 10.17632/5fs5jrj74g
title: Dataset 4N.5: Solutions files, sigma = 7, part 5 (Nam et al., Robustness and parameter geography in post-translational modification systems)

description: All proper solutions files for Paramotopy runs with \sigma = 7.0 on ILR-sampled parameter points in [10^{-p}, 10^p]^6, with \epsilon_2 = \phi_0 = 0, for p = 1, 2, 3, 4, 5.
DOI: 10.17632/pksym6cjfg
title: Role of Pacific Ocean climate in regulating runoff in the source areas of water transfer projects on the Pacific Rim

description: Over the past two decades, more frequent and intense climate events have seriously threatened the operation of water transfer projects in the Pacific Rim region. However, the role of climatic change in driving runoff variations in the water source areas of these projects is unclear. We used tree-ring data to reconstruct changes in the runoff of the Hanjiang River since 1580 CE representing an important water source area for China's south-north water transfer project. Comparisons with hydroclimatic reconstructions for the southwestern USA and central Chile indicated that the Pacific Rim region has experienced multiple coinciding megadroughts related to ENSO activity. Climate simulations indicate an increased likelihood of megadrought occurrence in the Pacific Rim region in the coming decades. The combination of warming-induced drought stresses with anomalous ENSO patterns is a thread to urban agglomerations and agricultural regions that rely on water transfer projects along the Pacific rim.
DOI: 10.6084/m9.figshare.14693473
title: Estimation of long-term methane emissions from Mechanical-Biological Treatment waste through biomethane potential test

description: Mechanical-Biological Treatment (MBT) is a technology applied to reduce the environmental impacts of urban waste based on stabilizing the organic matter content. As the process is not entirely efficient, the residue can generate methane when it is landfilled. Long-term methane emissions estimation based on models is usually over or underestimated because the actual waste composition after stabilization is generally unknown. This work proposes a single tool to improve the emission estimations of the landfilled MBT waste based on the determination of the biomethane potential test (BMP). Experimental BMP of the crude and stabilized organic fractions of municipal solid waste obtained from an MBT plant were carried out, and the results were used to predict the methane emission from two models, LandGEM (2005) and IPCC (2006). In the LandGEM model, the experimental value of BMP represents the methane potential <i>L</i><sub>0</sub> while in the IPCC model it allowed to obtain the ultimate organic carbon anaerobically degraded (DOC<sub>f</sub>), based on a linear correlation (<i>R</i><sup>2</sup> = 0.944, <i>p-value</i> &lt; .05) that can be used to obtain the DOC<sub>f</sub> in a waste of any composition. The results of the long-term (40 years) methane emissions of the stabilized waste disposed on land showed overestimations of up 56.0% (IPCC model) and 259.5% (Landgem model) when default data, instead the actual DOC<sub>f</sub> were applied in stabilized waste; similar behaviour was observed for the crude waste (23.3% and 241.3% overestimations). Moreover, the impact of the stabilization process revealed methane emission reductions of 5.1% and 20.9% based on LandGEM and IPCC models, respectively.
DOI: 10.6084/m9.figshare.26089314.v1
title: HiGTS_2018s1

description: HiGTS is a high temporal resolution global gridded dataset of human thermal stress metrics. Derived using climate variables from ERA5-Land and ERA5, the HiGTS consists of hourly gridded maps of Universal Thermal Climate Index (UTCI), Universal Thermal Stress (UTS), and daily Thermal Stress Duration (TSD) at 0.1° × 0.1° spatial resolution over the global land surface.HiGTS_2018s1 contains the data from January 1, 2018 to March 31, 2018.
DOI: 10.6084/m9.figshare.29189792.v1
title: <b>EEG Dataset of 32-Channel Recordings During Mantra Chanting in Experienced Individuals</b>

description: This dataset comprises electroencephalography (EEG) recordings collected from eleven experienced adult mantra chanting practitioners using the Emotiv Flex 32-channel EEG system (Emotiv Inc., USA) at a sampling rate of 128 Hz.
DOI: 10.17632/6259b85jgs
title: Economic data

description: This dataset is used in research.
DOI: 10.17632/y57dr7zntv
title: Risk Factors of Fish Borne Illness Among University Students of Bangladesh: A Cross-Sectional Study

description: Background: University students in Bangladesh face significant risks of fish-borne illnesses (FBIs), with recent observations suggesting that students from public universities are particularly more vulnerable compared to those attending private institutions. Despite this concern, no comprehensive epidemiological studies have yet explored the prevalence of FBIs, the level of awareness among students, or their medical attention-seeking behaviours. Addressing this gap, the present study investigates the risk factors associated with FBIs among Bangladeshi university students. The manuscript, titled "Risk Factors and Awareness of Fish-Borne Illnesses Among University Students in Bangladesh", by Hridoy et al. (2025), has been submitted to Frontiers in Public Health and is currently under review.

Implication: The dataset used in this study is crucial for public health research as it provides empirical evidence on the health vulnerabilities of a significant segment of the population—university students. 

Methods: A cross-sectional study was conducted using a semi-structured hybrid questionnaire through the KoBoToolbox sampling method. A total of 2013 university students participated between August to December 2024. 

Remarks: The present findings underscore the need for rigorous action on university campuses, including improving the quality of foods served in hall dining facilities, implementing management interventions, and ensuring better health services are provided by university authorities. 

Ethical Approval: The study was reviewed by and followed institutional guidelines and was approved by the ethics board of the Institutional Review Board, Sylhet Agricultural University, Sylhet-3100, Bangladesh [Memo no: SAU/Ethical committee/APR/24/05]. Therefore, the study followed the medical ethical guidelines established in the Helsinki Declaration of 1975. Participation necessitated obtaining written consent from both the participating universities and each individual student involved in the study.
DOI: 10.25381/cput.24599058.v2
title: Investigating electrocardiogram and certain biomarkers as diagnostic methodologies to assist in the diagnosis of mitral valve prolapse

description: This dataset emanated from a research study towards the MSc Biomedical Technology of Ms Shahieda Terblanche. The thesis title was 'INVESTIGATING ELECTROCARDIOGRAM AND CERTAIN BIOMARKERS AS DIAGNOSTIC METHODOLOGIES TO ASSIST IN THE DIAGNOSIS OF MITRAL VALVE PROLAPSE'. As is apparent from the title the student collected data from a group of patients to assess whether biomarkers including ECG abd pathology biomarkers could assist in diagnosing mitral valve prolapse, which can currently only be done through the use of echocardiography. The ethics number for this project was: CPUT/HW-REC 2019/H30
DOI: 10.6084/m9.figshare.20323995.v1
title: Assemblies of transcriptome and genome skimming data of Papaver

description: We assembled transcriptome data (BioProject accession PRJEB21674) with Trinity and genome skimming data (PRJEB43865) with Hybpiper for Papaver spp.
DOI: 10.6084/m9.figshare.24936453.v2
title: Code and raw data for RFW analysis/visualization

description: Code and raw data for RFW analysis/visualization.