cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/nfw68tgw82.1
title: Trust in advertising dietary supplements

description: This data was gathered during the process of development and validation of the questionnaire on trust in advertising dietary supplements. The final version of the questionnaire was set according to the results of exploratory factor analysis and criterion and concurrent validity was assessed. The dataset contains 174 responses.
DOI: 10.17632/242kr4dzjf.1
title: Early Enteral Nutrition in Patients Undergoing Intestinal Anastomosis

description: A prospective longitudinal study of 54 patients who underwent intestinal anastomosis and were started on early enteral nutrition at the University Hospital of the Central University of Venezuela (November 2022 to September 2023), all of them fulfilled the inclusion criteria. Taking as early enteral nutrition two study groups: GROUP 1 tolerance at 24 hours and GROUP 2. Tolerance at 48 hours. Hospital stay and complications were evaluated. Of the 54 patients 40(74.1%) were operated on in emergency surgery 46(85.2%) patients were male. There was no difference in the mean ages of the two diet groups (P=0.254), the mean age was 33.9/14.8 years. There was no statistically significant difference (P=0.086) in the mean number of days of hospitalization (4.7/2.4 days) between patients according to the type of diet. Vomiting occurred in 20.37%, with no statistically significant differences between the groups of patients with diet 1 and 2. There were 2 (3.7%) cases of leakage that required reintervention, and this complication was not associated with the initiation of a particular type of diet, type of surgery, surgical time or site of injury. Early enteral nutrition is a viable option in patients undergoing intestinal anastomosis, is not associated with the incidence of dehiscence, is well tolerated by the patients, has acceptable complications, most frequently associated with vomiting, and reduces hospital stay.
DOI: 10.17632/2tt3z8rjxf.1
title: Global production of seaweeds and trades of seaweeds and seaweed-derived hydrocolloids (agar-agar, alginate, and carrageenans)

description: The uploaded data present an overview of the global production of seaweeds and global trades of seaweeds and seaweed-derived hydrocolloids (agar-agar, alginate, and carrageenan) in recent years (2007 – 2017); the former was retrieved from the latest FAO reports and FAO online database, and the latter was retrieved from UN Comtrade and ITC Trade Map. Retrieved data sets have been re-organized and sorted into tables presented in the uploaded documents “Seaweed Production Data (FAO).xlsx” and “Seaweed Trade Data and Indicators (UN Comtrade & ITC Trade Map).xlsx.” Furthermore, visualizations of selected trade data are provided in the document “Visualizations of Seaweed Trade (UN Comtrade & ITC Trade Map).docx.” Furthermore, visualizations of selected trade data are provided in the document “Visualizations of Seaweed Trade (UN Comtrade & ITC Trade Map).docx.” The document “Supplementary Information.docx” presents a summary of the details about the uploaded data sets, including data origins, descriptions and calculations of the collected data and indicators, references, and so forth.
DOI: 10.17632/txjxfppp3w.1
title: Images for underwater 3D reconstruction of Posidonia seagrass transplantation site 

description: The photographic data, which are the first step for data processing, were acquired with a low-cost action camera (GoPro Hero 9) capable of shooting high quality (20 Mpix images) photos with a specific time-lapse function. To perform the acquisition over a large area (3200 m2) the camera was mounted on a Diver Propulsion Vehicle (DPV) which allowed the SCUBA diver to map the entire area in only 1h and 10’. Consecutive (2 seconds interval) photos were acquired in raw format to allow further manual editing aimed at improving the result via colour grading and correction. Subsequently, each image was processed in a photogrammetric software (Agisoft Metashape) based on Structure from Motion (SfM) processing algorithms to generate 2D raster outputs (orthophoto mosaics and Digital Elevation Models, DEM),3D dense point clouds and 3D triangular mesh with texture. Finally, the open-source software Blender 2.93 was used to render the 3D scene to create a realistic view of the transplanted area by adding water effects and Posidonia leaves that otherwise cannot be well reproduced by only SfM data.
DOI: 10.17632/tknnsfnzft.1
title: X-ray diffractograms of graphene oxide

description: XRD patterns were collected in a Philips - X’Pert MRD with Cu K-alfa in Bragg-Brentano geometry from 5 to 60°.
DOI: 10.17632/btchxktzyw.3
title: August 2021 data-update for "Updated science-wide author databases of standardized citation indicators"

description: Citation metrics are widely used and misused. We have created a publicly available database of over 100,000 top-scientists that provides standardized information on citations, h-index, co-authorship adjusted hm-index, citations to papers in different authorship positions and a composite indicator. Separate data are shown for career-long and single year impact. Metrics with and without self-citations and ratio of citations to citing papers are given. Scientists are classified into 22 scientific fields and 176 sub-fields. Field- and subfield-specific percentiles are also provided for all scientists who have published at least 5 papers. Career-long data are updated to end-of-2020. The selection is based on the top 100,000 by c-score (with and without self-citations) or a percentile rank of 2% or above.

The dataset and code provides an update to previously released version 1 data under https://doi.org/10.17632/btchxktzyw.1; The version 2 dataset is based on the May 06, 2020 snapshot from Scopus and is updated to citation year 2019 available at https://doi.org/10.17632/btchxktzyw.2

This version (3) is based on the Aug 01, 2021 snapshot from Scopus and is updated to citation year 2020.
DOI: 10.17632/3bzv6t24ts.1
title: COVID-19 Digital X-rays Forgery Dataset

description: This is a tampered dataset from the original dataset “COVID-19 Radiography Database.” [Online]. Available: https://www.kaggle.com/tawsifurrahman/covid19-radiography-database. 

This dataset consist of 9 classes and they are
{
COVID-19 2000 images
CM COVID-19 2000 images
S COVID-19 2000 images
Viral Pneumonia 1340 images
CM Viral Pneumonia 1340 images
S Viral Pneumonia 850 images
Normal 2000 images
CM Normal 2000 images
S Normal 2000 images
}

if you use this dataset, kindly, cite 
Khalifa, Nour Eldeen; abd El-Latif, eman I. (2022), “COVID-19 Digital X-rays Forgery Dataset”, Mendeley Data, V1, doi: 10.17632/3bzv6t24ts.1
DOI: 10.17632/5bwfg4v4cd.1
title: Pothole Videos

description: Contains a video dataset of road potholes for semantic segmentation purposes. Data is taken from a point of view perpendicular to the road. Contains a total of 619 videos (image, mask) with an aspect ratio of 1:1, 1080x1080 resolution and 48 image frames for each video. The data was divided manually with a ratio of 60/20/20 with 372 for training, 124 for validation, and 123 for test. Ground truth is made manually using Adobe After Effects. 

The videos in this dataset were captured in Hulu Sungai Tengah Regency, Indonesia
DOI: 10.17632/4254mwwbhk.1
title: 2024-HiC and mCool files for Repli-HiC

description: This datasets contains the HiC and mCool files of Repli-HiC libraies reported in the article: Fork coupling directs DNA replication elongation and termination.
DOI: 10.17632/4ysx9fyzv4.1
title: FR_NFR_dataset

description: This dataset aims to support the requirement engineering phase of software development, in the early phase of requirement analysis of Functional Requirements (FR) and Non-Functional Requirements (NFR) for cross-cutting concerns and to improve modularity. The dataset will contain a collection of software requirements expressed in natural language.
Categories: Each requirement is categorized as either FR or NFR.
Subcategories (Optional): NFRs can be further categorized based on specific quality aspects like security, performance, usability, etc.
The dataset will highlight how certain requirements impact multiple modules or functionalities within the system.
The dataset can be used to train Natural Language Processing (NLP) tools to automatically analyze requirements annotated as FR or NFR.
Sources for the dataset are existing software requirements repositories like PROMISE https://arxiv.org/pdf/2211.05286 and open-source project documentation with FRs and NFRs. By processing existing datasets and containing open software project requirement documents we have a dataset of 6118 requirements where 3964 requirements are functional and 2154 requirements are nonfunctional However, creating a comprehensive dataset that covers a wide range of software systems and requirements is challenging as natural language requirements can be ambiguous.
DOI: 10.17632/3srffc36dz.1
title: data_moving_vehicle_tests_on_model_bridge

description: A set of data was collected from moving vehicle tests on a laboratory scale model bridge, for validating numerical vehicle-bridge interaction simulation algorithms and in understanding vehicle-bridge interaction mechanisms. The model vehicle was 28 kgf in weight; the model bridge was made of a steel I-girder, 5.6 m long (5.4 m in span length) and 311 kgf in weight. The vehicle ran in 3 speeds, and the following dynamic responses were recorded: vertical acceleration and displacement responses at the bridge's 1/6, 1/4, 1/2, 3/4, 5/6 span, vertical acceleration responses at the vehicle's front, left, and right ends. More details are given in the README.txt and EXPMODEL.png files, and the experiment data is given in EXPDATA.mat.
DOI: 10.17632/647z57d26b.2
title: ATR-FTIR, XRD, and TGA data for methylammonium iodide, methylammonium bromide, formamidinium iodide, and formamidinium bromide characterization

description: The data stored in this repository is used to confirm the structure of four organic halide salts using x-ray diffraction (XRD) and attenuated total reflectance Fourier transform infrared spectroscopy (FTIR) data (methylammonium iodide, methylammonium bromide, formamidinium iodide, and formamidinium bromide). Once their structures are confirmed, their vapor pressures are estimated from the thermogravimetric analysis (TGA) data. The rate of mass loss at several isothermal conditions can be used to evaluate the vapor pressure of each material. The single pass TGA data for each salt is used to confirm that no secondary mass loss events occur and that each sample evaporates uniformly. Each salt is found to evaporate in a single step, allowing the enthalpy and entropy of vaporization to be calculated and used to determine the vapor pressure from the Clausius-Clapeyron equation. The columns of the ATR-FTIR data represent wavelength in units of wavenumber and absorbance in arbitrary units.
DOI: 10.17632/tdx3h2fn9v.5
title: Mammogram Density Assessment Dataset

description: GENERAL OVERVIEW
This dataset was compiled to address the limitations of current methods for breast density assessment in mammograms, especially the challenges of:
• Shortage of radiologists: There are not enough radiologists to efficiently analyze the large number of mammograms needed for screening.
• Subjectivity: Radiologist assessments of breast density can vary, leading to inconsistencies.
• Limitations of existing tools: Current CAD tools for breast density estimation often have limitations, such as restricted functionality to specific mammogram views and difficulties with accurate segmentation.

This dataset offers a unique solution by expanding the original mammogram images with:
• Binary masks of the breast area: These expert-annotated masks precisely delineate the entire breast region in each mammogram, providing valuable ground truth data for segmentation methods.
• Binary masks of dense tissue: Similarly, these masks accurately identify areas of dense tissue within each mammogram, further enhancing the dataset's utility for training and evaluating segmentation algorithms.

The dataset facilitates the development of automated breast density estimation with deep learning. It also serves as a valuable tool for researchers developing and benchmarking medical image segmentation methods specifically focused on breast tissue analysis in mammograms. 

DATA DESCRIPTION
This dataset consists of segmentation masks for dense tissue and breast area as well as area-based breast density percentage values from the VinDr-Mammo public dataset accessible from [3]. All annotations were performed and validated by an expert radiologist.
Files:
The data is provided in two compressed archives, ‘train.zip’ and ‘test.zip’.
• train.zip: This archive contains two sub-folders:
 - breast_masks: This sub-folder contains the ground truth segmentation masks for the breast area, also in JPG format.
- dense_masks: This sub-folder contains the ground truth segmentation masks for the dense tissue, again in JPG format.
 The segmentation masks have the dimensions of 2800×3518 pixels.

File Lists:
Two CSV files are provided alongside the compressed archives:
• train.csv: This file contains information about the training set with two columns:
- Filename: This column contains the filenames of the training set images. These images can be directly downloaded from the VinDr-Mammo dataset, https://physionet.org/content/vindr-mammo/1.0.0/.
- Density: This column provides the ground truth continuous breast density value for each mammogram in the training set, intended for the breast density estimation task.

• test.csv: This file contains a single column, “Filename”, listing the filenames of the test set. No ground truth information is provided for the test set. Ground truths are intentionally kept private for Breast Density Kaggle Challenge https://www.kaggle.com/competitions/breast-density-prediction, however, will be eventually open to public in the dataset repository.
DOI: 10.17632/99bj3ghmmf.1
title: The Effects of Monetary Policy on Capital Flows: An Emerging Market Survey

description: This code and data recreate the exercises of the paper "The Effects of Monetary Policy on Capital Flows: An Emerging Market Survey ". We investigate whether central banks from emerging markets can attract or redirect capital flows, by bringing together the entire empirical literature into the first quan- titative meta-analysis. We dissect policy effects based on the origin of the monetary shock and type of flow. Further, we assess whether policy effects depend on factors that drive investors to either search for yields or fly to safety. Our findings indicate a mean effect size of inflows in the amount of 0.09% of quarterly GDP in response to either a 100-basis point (bp) increase in the domestic policy rate or a 100bp reduction in the external rate. However, the effect size under a fixed effect specification is much higher (0.2%). Factors that attract inflows include output growth, foreign exchange reserves, and a more flexible exchange rate regime, while factors that deter flows include local and global risks. Finally, we find that banking flows are the most responsive to monetary policy, while foreign direct investments are the least responsive.
DOI: 10.17632/5prmtwgph3.1
title: Raw GNSS data, Xiaomi Mi 8, 10 minutes, 3 points, 40 days

description: The data from 40 days of raw GNSS measurements acquired using Xiaomi Mi8 smartphone. The folders are named according to the day of measurement. The "gp" suffix means the data acquired with the application of a ground plane (i.e. first 20 days without the ground plane, next 20 days with the ground plane). Sub-folders are named according to time of measurement, with the soonest being the open-area point, the middle is the partial-canopy point, and the latest the full-canopy point. The rinex files in the sub-folders are named GEO* for the rover (smartphone) and BBYS* for BBYS CORS (base) If you use GNSS analysis app, check GNSSlogger for GNSS logger logs (.txt). This data may differ from RINEX data as the acquisition time was slightly longer. In case of need, there are BRDM ephemeris data for every day in the related folder. Reference coordinates (both WGS84 and UTM 34N) are in the textfile. In case of questions, contact the authors.
DOI: 10.17632/9mrmttnjh5.1
title: Weld bead images from the literature

description: Dataset used in paper: "A universal convolutional neural network for pixel-level detection and monitoring of weld beads". 

The dataset has ~300 weld bead images containing 2677 single-line beads collected mainly from the literature, folllowed by pixel-wise hand-annotation of the weld bead and background. They are characterized with a great variety of bead morphology, texture, contrast to background, and so on. 

The ultimate goal is to train a general-purpose image-segmentation convolutional neural network (CNN), which can recognize bead regions from background across different machines and manufacturing conditions. The trained CNN is potentially deployed for weld bead monitorning and control in the general weld-based processes, such as the conventional welding and various metal depostion additive manufacturing processes.
DOI: 10.17632/ctvmymfmbr.1
title: Data for: Controlling factors and environmental significance ofRecords of BIT and δ13C of sedimentary GDGTs from the Pearl River Estuary, China: potential proxies for aggravation of eutrophication over recent decades

description: Dataset includes BIT, TOC (%), δ13C of ether cleavage products of iGDGTS (i.e. δ13CBP-0, δ13CBP-1, δ13CBP-2 and δ13CBP-Cren), sea surface temperature (SST) at four sites (A8, A9, E501 and LE01) and temperature anomalies of global SST.
DOI: 10.17632/hr3tds2znj.1
title: Data for: "Supply Chain Risk: Changes in Supplier Composition and Vertical Integration"

description: Replication pacakge for: "Supply Chain Risk: Changes in Supplier Composition and Vertical Integration"
DOI: 10.17632/3hhvc6bkff.1
title: Changes in demand due to population aging in a natural resource and service-based economy: application of the Miyazawa models and the Almost Ideal Demand System

description: The database and R codes are provided to obtain results using the Miyazawa-style input-output matrix, divided by age groups and productive sector. As well as a simulation of a demographic shock for older adults.
DOI: 10.17632/w88vrhrfp7.1
title: COVID-19 Dataset

description: This is some collections of COVID-19 comment from Twitter, YouTube, Facebook, and Instagram in Indonesian language. This dataset has been pre-processing with various stages :
1. Cleansing
2. Case folding
3. Text normalization
4. Stopword removal, and 
5. Stemming by Sastrawi
There are two folders in the file, in the form of csv and json. Each of the datasets has been split into train and test data with an 80:20 ratio.
DOI: 10.17632/z46p52yfrs
title: Nomenclature

description: This document includes the list of symbols and abbreviations used in bilevel optimization modeling of the flexibility aggregation.
DOI: 10.17632/dv8nwdd36k.1
title: Data for: In-Depth Comparison of Deep Artificial Neural Network Architectures on Seismic Events Classification

description: This dataset includes the signals that were collected from LAV, one of the seven seismic stations of the Llaima volcano located at the western edge of Andes in Araucania Region (S 38º41' - W 71º44'), Chile. These signals were being recorded from 2010 to 2016, sampled at 100Hz and filtered using a 10th-order Butterworth bandpass filter in range 1-10 Hz to preserve the bandwidth that contains the range of interest. Moreover, it was normalized using their maximal values and labelled by the specialists from the Observatorio Vulcanológico de los Andes Sur (OVDAS) into four classes: Long Period (LP); Tremor (TR); Volcano-Tectonic; and Tectonic (TC). Finally, this data can be used to help to improve the analysis of volcano seismic signals. This directory contains the following datasets: SEISMIC EVENTS DATASET lp.hdf5, tr.hdf5, vt.hdf5, tc.hdf5 - each file contain the correspondig seismic event class
DOI: 10.15468/dl.3a2adm
title: Occurrence Download

description: A dataset containing 113 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pterospermum acerifolium (L.) Willd.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 113 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009373-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/bxhgvx727r.1
title: review artikel

description: penelian artikel dan buku
DOI: 10.17632/6wnmchnc6j.3
title: Datasets of social capital and business performance in the Nigerian informal sector

description: This dataset presents primary data on the the effect of social capital on business performance in the Nigerian informal economy. Primary data collection was carried out through a cross-sectional survey of 600 informal business owners within Ikeja Local Government Area (LGA), Lagos State, Nigeria. A simple sampling technique was further adopted in selecting the sample size of the study, and a close-ended questionnaire was adopted for the data collection process. Descriptive statistical analysis was performed using the Statistical Package for Social Sciences (SPSS) version 23. This data has the potential to be reused for full empirical research relating to social capital and business performance in emerging economies.
DOI: 10.17632/cgyh5s88kc.1
title: Survey Dataset on Occupational Stress, Job Satisfaction and Job Performance Among Male Fertility Patients (Original Data)

description: Survey dataset on occupational stress, job satisfaction and job performance among male fertility patients
DOI: 10.17632/r2kvcmbn6p.2
title: Moroccan Dialectal Arabic Fake Reviews dataset

description: The Moroccan Dialectal Arabic Fake Reviews (MDAFR) dataset contains reviews written primarily in Moroccan dialect, with the remainder of the reviews written in modern standard Arabic. The dataset contains a total of 600 reviews, of which 300 are real reviews and 300 are fake reviews. The number of positive fake reviews is equal to the number of negative reviews. On the other hand, the number of positive reviews is 175 and the number of negative real reviews is 125. The reviews are all collected from trusted sources. The dataset contains the following attributes: the text of the review, the name of the product, the sentiment of the review, and finally the class. The fake class is labeled 1, while the real class is labeled 0.
DOI: 10.17632/vkt6p2xztv.2
title: Glioma Dataset from Rabat: Clinicopathological, immunohistochemical and disease progression features of 32 Moroccan patients with Glioma.

description: Glioma Dataset from Rabat contains the clinical data of 32 patients with glioma. The clinical data including demographic data (age, sex), tumor characteristics (tumor location, Glioma type, Karnofsky performance score, mitotic activity, cell density, necrosis, endotheliocapillary vascular proliferation, MRI contrast pick-up, corpus collosum infiltration and Oedema), treatment strategy (subtotal resection, gross resection, biopsy, radiotherapy, chemotherapy), expression pattern of tumor biomarkers (IDH1, HIF-1alpha, P53, Ki-67), and survival data (Kaplan-Meier curves for disease progression).