cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/6f8wh7xmnd.1
title: Accelerometer data elaboration donkey pasture

description: Elaboration of raw acceleration data obtained from a tri-axial accelerometer used on donkeys at pasture. The acceleration data were grouped in different intervals of time called epochs, corresponding to the following time intervals: 15, 30, 60, 90, 120, 150, and 180 seconds. Mean, variance, and inverse of the coefficient of variation (obtained from the ratio between mean and standard deviation) for each axis and considering the trhee axis togheter
were computed according to Watanabe et al. (2008).
DOI: 10.17632/yjghjcw2st.1
title: Uplift Rate Calculations

description: Spreadsheet showing the methods used to calculate average rock uplift rates and propagate the errors from the OSL data and elevation measurements.
DOI: 10.17632/vs2mc22wft.1
title: Quantifying soil accumulation of atmospheric mercury using fallout radionuclide chronometry

description: This data set includes fallout radionuclide (FRN) chronometry and soil Hg and Al measurements required to reconstruct rates atmospheric Hg soil accumulation.
DOI: 10.17632/cchj5dgp7r.1
title: A Global Outlook on Disaster Science Elsevier raw data

description: This is the raw Elsevier data behind our report "A Global Outlook on Disaster Science" (https://www.elsevier.com/research-intelligence/resource-library/a-global-outlook-on-disaster-science-2017). The report provides an analysis of recent scholarly output and impact in disaster science according to the Sendai Framework for Disaster Risk Reduction, aiming to give insights to governments, research institutions, and funding agencies.
DOI: 10.17632/t4vb7thsj9.1
title: Data for: Discrimination of extra-virgin-olive oils from different cultivars and geographical origins by untargeted metabolomics

description: Dataset of phenolic and sterolic compounds identiied in extra-virgin olive oil by UHPLC-ESI/QTOF-MS untargeted metabolomics
DOI: 10.17632/gjnvdn9zp4.1
title: Citizens' perspective on quality of life in smart cities in India

description: This is survey data collected through structured questionnaire from Pune, Nagpur, and Indore smart cities in India for the purpose of the research during the period of October 2021 to May 2022.
DOI: 10.15468/dl.9hr3s5
title: Occurrence Download

description: A dataset containing 7585 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Prunus virginiana L.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 7585 records from 226 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009356-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/fh3fg4rghw.1
title: The Nexus of Energy Consumption, Foreign Direct Investments, and Inclusive Growth in Sub-Saharan Africa

description: The paper focused on how energy consumption could promote inclusive growth and which type of energy consumption either renewable or non-renewable can lead to inclusive growth. The paper then proceeds to test empirically if the presence of foreign direct investment could help energy consumption to further enhance inclusive growth. The paper used 32 sub-Saharan African (SSA) countries over a 25-year time spanning 1995 to 2019. The is primarily based on the availability of data which was obtained from the World Bank (World Development Indicators), and the United States Energy Information Agency (EIA).  

The dependent variable was proxied with an inclusive growth index where principal component analysis (PCA) was used in the generation of the index. The paper used 21 variables to create the index and these include access to clean fuels and technologies for cooking (% of the population); access to electricity (% of the population); mobile cellular subscriptions (per 100 people); contributing family workers, total (% of total employment); employment to population ratio, 15+, total (%) (modelled ILO); Immunization, DPT (% of children ages 12-23 months); mortality rate, under-5 (per 1,000 live births); nurses and midwives (per 1,000 people); physicians (per 1,000 people); the prevalence of underweight, weight for age (% of children under 5); primary education, duration (years), the proportion of seats held by women in national parliaments (%); pupil-teacher ratio, primary; school enrolment, primary (gross); gender parity index (GPI); school enrolment, secondary (gross), gender parity index; school enrolment, tertiary (gross) gender parity index; people using at least basic drinking water services (% of the population); people using at least basic sanitation services (% of the population); domestic general government health expenditure (% of general government expenditure); government expenditure on education, total (% of government expenditure); Gross Domestic Product per Capital (Constant, 2017, US$ PPP). All these variables were sourced from WDI.

To ensure that the index created is robust, the paper conducts various diagnostic tests such as determinant of the correlation matrix; Kaiser-Meyer-Olkin Measure of Sampling (KMO) and Bartlett test of sphericity.

The main variable of interest is energy consumption which was disaggregated into renewable energy consumption (% of total final energy consumption) and fossil fuel comprises coal, oil, petroleum, and natural gas products (non-renewable) sourced from EIA. The moderating variable is net Foreign Direct Investment Inflow (% GDP). 

The control variables we sourced from WDI include gross fixed capital formation (% of GDP), labour force participation rate, total (% of total population ages 15-64) (modelled ILO estimate), trade (% of GDP) and GDP per person employed (constant 2017 PPP $).
DOI: 10.17632/9ns6gmtz3j.1
title: Which decentralised trial activities are reported in clinical trial protocols of drug trials initiated in 2019-2020? A cross-sectional study in ClinicalTrials.gov

description: This Excel file contains data used for the research that is described in the manuscript entitled: "Which decentralised trial activities are reported in clinical trial protocols of drug trials initiated in 2019-2020? A cross-sectional study in ClinicalTrials.gov" by Amos J. de Jong,1 Renske J. Grupstra,1 Yared Santa-Ana-Tellez,1 Mira G.P. Zuidgeest,2 Anthonius de Boer,1,3 Helga Gardarsdottir,1,4,5 On behalf of the Trials@Home Consortium6

1 Division of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, The Netherlands
2 Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
3 Dutch Medicines Evaluation Board, Utrecht, the Netherlands
4 Department of Clinical Pharmacy, Division Laboratory and Pharmacy, University Medical Center Utrecht, Utrecht, The Netherlands
5 Faculty of Pharmaceutical Sciences, University of Iceland, Reykjavik, Iceland
6 trialsathome.com

Data content: 
The file contains data on the reporting of decentralised and on-site conduct of predefined trial activities (i.e., participant outreach, pre-screening, pre-screening through medical records, screening, consenting, asynchronous communication with the participant, participant training, investigational medicinal product supply, investigational medicinal product adherence monitoring, clinical trial monitoring, and data collection) and general clinical trial characteristics of the 254 analysed protocols. 

The methodology and search strategy are explained in the manuscript text.
DOI: 10.17632/ntzym554jp.1
title: Watermelon Disease Recognition Dataset

description: (1) Crop diseases significantly impact agricultural productivity and quality, particularly in watermelon cultivation. Traditional disease diagnosis methods are time-consuming and subjective, creating a demand for efficient machine vision-based disease detection models. (2) We present a comprehensive watermelon dataset, including images of healthy watermelons and those afflicted by Mosaic Virus, Anthracnose, and Downy Mildew Disease. Collected in collaboration with experts on June 25, 2023, from the Regional Horticulture Research Station in Lebukhali, Patuakhali, Bangladesh. This dataset aids in early disease detection. (3) Watermelons are essential for global food security but face challenges like disease threats and limited farmer training. (4) Our dataset supports the development of advanced machine vision algorithms for early disease identification. It contains four watermelon classes: Mosaic Virus, Healthy, Anthracnose, and Downy Mildew, with 1155 original images and 5775 augmented images. (5) The dataset is accessible on the Mendeley repository, facilitating research and empowering farmers to protect watermelon production and agricultural stability.
DOI: 10.17632/cdxs63gdzc.1
title: APNEA HRV+SPO2 DATASET 

description: The HuGCDN2014-OXI database was provided by the Dr. Negrín University Hospital (Las Palmas de Gran Canaria, Spain) and contains recordings of 83 subjects, each containing the ECG signal, digitized at 200 Hz, and the SpO2 signal, digitized at 50 Hz. The sleep studies and the labelling process were carried out following the American Academia of Sleep Medicine (AASM) guidelines. An expert labeled every minute based on simultaneous polysomnography, marking it as apnea or nonapnea. There are three groups: 1) CONTROL: thirty-eight (38) healthy subjects with AHIs lower than 5 ranged between (0-5). 2) DESATURATING PATIENTS: thirty-four (34) OSA patients with AHIs higher than 25 ranged between (30-106.3) that show desaturations during apneic episodes. 3) NONDESATURATING PATIENTS: eleven (11) OSA patients with AHIs higher than 25 ranged between (26.2-87.5) that do not always show desaturations during apneic episodes. Patients are defined as nondesaturating when their ODI is less than half their AHI, in our case the 75% of the nondesaturating patients present an ODI less than 7.35 and a total of apneas less than 98, then for 75% of the nondesaturating patients the percentage of desaturating apneic events is below of 7.5%.
DOI: 10.17632/cnd2wh65my.1
title: MVFR: Multilingual Visual Font Recognition Synthetic Dataset

description: MVFR is a synthetic multilingual visual font recognition dataset featuring data from four common languages: Bangla, Hindi, Spanish, and Russian. The dataset creation process involved several steps. Initially, multiple lists of common words for all four languages were gathered from the open-source data science platform, Kaggle. Following this, the 10 most popular fonts for each language were sourced from various open-source font-sharing platforms. Subsequently, a data generator was developed using Python and the Pillow library to produce synthetic 400x200 white images containing words in the respective languages printed in different fonts. Each language in the dataset comprises 50,000 images in total, with 5,000 images generated for each of the 10 fonts. Additionally, the dataset includes the Python generator script that can facilitate the generation of visual font recognition data for other languages as well. Researchers can leverage both the MVFR dataset and the generator script to train and evaluate AI models for font recognition across multiple languages.
DOI: 10.17632/kzt6h7pz97.1
title: IT Career Proficiency Dataset

description: Carefully collected dataset of approximately 9000 survey responses on proficiency in various skills for software jobs. The dataset was collected through a survey shared with early career professionals and experienced working professionals who assess themselves in various fields of IT and Software. 
The dataset can be used for various tasks including but not restricted to classification, clustering, building recommendations and generating insights.
DOI: 10.17632/hwzx6vfjmv.1
title: SevenOperators, a Mathematica script for harmonic oscillator nuclear matrix elements arising in semileptonic electroweak interactions

description: Abstract Semi-leptonic electroweak interactions in nuclei-such as β decay, μ capture, charged- and neutral-current neutrino reactions, and electron scattering-are described by a set of multipole operators carrying definite parity and angular momentum, obtained by projection from the underlying nuclear charge and three-current operators. If these nuclear operators are approximated by their one-body forms and expanded in the nucleon velocity through order | over(p, →) | / M, where over(p, →) and M are t... Title of program: SevenOperators Catalogue Id: AEAY_v1_0 Nature of problem Algebraic evaluation of harmonic oscillator nuclear matrix elements for the one-body multipole operators governing semi-leptonic weak interactions, such as charged- or neutral-current neutrino scattering off nuclei. Versions of this program held in the CPC repository in Mendeley Data AEAY_v1_0; SevenOperators; 10.1016/j.cpc.2008.02.018 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
DOI: 10.17632/mzh2z8zt53.1
title: Supplementary Table I. Summary of cited studies examining androgenetic alopecia treatment.

description: Summary of cited studies examining androgenetic alopecia treatment.
DOI: 10.17632/nzy5528nst.2
title: Survey Dataset of The Influence of Theory of Planned Behaviour on Purchase Behaviour on Social Media 

description: The data is on the The Influence of Theory of Planned Behaviour on Purchase Behaviour on Social Media in China
DOI: 10.17632/2h76672znt.2
title: Arabic Handwritten Alphabets, Words and Paragraphs Per User (AHAWP)

description: The dataset contains 65 different Arabic alphabets (with variations on begin, middle, end and regular alphabets), 10 different Arabic words (that encompass all Arabic alphabets) and 3 different paragraphs. The dataset was collected anonymously from 82 different users. Each user was asked to write each alphabet and word 10 times. A userid uniquely but anonymously identifies the writer of each alphabet, word and paragraph. In total, the dataset consists of 53199 alphabet images, 8144 word images and 241 paragraph images.
- The file "isolated_alphabets_per_alphabet.zip" contains 53199 Arabic alphabets organized into one folder per alphabet variation
- The file "isolated_alphabets_per_user.zip" contains 53199 Arabic alphabets organized into one folder per user
- The file "isolated_words_per_user.zip" contains 8144 Arabic words organized into one folder per user
- The file "paragraphs_per_user.zip" contains 241 Arabic paragraphs organized into one folder per user
- The file "raw_dataset.zip" contains all user input forms in raw (unprocessed) format.
- The scripts folder contains the Python scripts used to extract and preprocess alphabets, words and sentences from the raw input forms.
DOI: 10.17632/z9zfhzk8cr.6
title: PopClusters

description: Population clusters for sub-Saharan Africa. The population clusters include the following data: 1. id – The IDs are given as a unique number for each cluster 2. Country - Name of the country. 3. Population – This is the population in each cluster obtained from the population dataset (GHSL for Somalia, Sudan and South Sudan and HRSL for the rest of the countries). The population in these clusters are calibrated to 2016 population values 4. NightLight – This value is obtained from the night-time light map and represents the maximum luminance detected in each cluster based on the 2016 stable light product available. 5. ElecPop – The number of people in each cluster who live in areas in which the stable light product detect light sources. 6. Area – The area of each cluster given in square kilometrers. 7. IsUrban – Classifies areas as either urban (2), peri-urban (1) or rural (0). Change log: 24/08-2020 - Clusters published 30/08-2020 - Added reference to the GitHub repository used to generate the clusters
DOI: 10.17632/r9nzmjdfzx.3
title: Effects of shear stress and salinity stratification on floc size distribution during the dry season in the Modaomen Estuary of the Pearl River: Datasets

description: ********Please view the headlines for detailed documentation of data.********

Title: Effects of shear stress and salinity stratification on floc size distribution in a river-wave dominant environment of the Pearl River Estuary
Version: 1.0
Date of release: 19/10/2021
Contact information: Dr. F Liu, School of Ocean Engineering and Technology, Sun Yat-sen University, Guangzhou, 510275, China.
liuf53@mail.sysu.edu.cn (F Liu)

geographic location: Modaomen Estuary, Zhuhai, China.

This directory contains the following datasets:


Floc and hydrodynamics DATASETS
-20170113Flocs_data.xlsx: median size, volume concentration, SSC, salinity and current velocity of six characteristic layers.

-20170117Flocs_data.xlsx: median size, volume concentration, SSC, salinity and current velocity of six characteristic layers.

-20170119Flocs_data.xlsx: median size, volume concentration, SSC, salinity and current velocity of six characteristic layers.
DOI: 10.17632/6ptf5yjdh2.1
title: Sustainable Business Model Data (2002-2019)

description: The sustainable business model dataset, which was indexed Scopus from 2002 to 2019. The dataset contains data authors, authors ID Scopus, title, year, source title, volume, issue, article number in scopus, DOI, link, affiliation, index keywords, reference, correspondence address, editors, publisher, conference name, conference data, conference code, ISSN, language, document type, access type, and EID.
DOI: 10.17632/cvfxm2j3w8.2
title: Testicular Health in Adolescents A Qualitative Study

description: Young men have poor outcomes with torsion of testis due to late presentation to hospital. This study was designed to generate the hypothesis of why this is the case by exploring the views and experiences of young men and their families regarding testicular health, with a focus on the reaction to a new finding of testicular pain. We utilised qualitative methodology to generate a hypothesis. This is the raw data generated from one on one interviews semi-structured interviews. The young men were recruited from out of hours clubs utilising a range of contact methods. The target population were young men 11-19 years. The young men were allowed to choose a chaperone of their choice and were given a small incentive for taking part. All but one interview was conducted at home, participant 2 was conducted in hospital. All young men chose their parent or guardian as chaperone. Median age was 13 years (range 11-18 years). Demographics crossed the social strata in two regions on the UK. Racial demographic was more limited with all but one family white Caucasian. All interviews were undertaken by the chief investigator between Dec 2015 to Dec 2017. The early interviews were also transcribed by the chief investigator and the later a professional transcription service. Hence the variation in transcription styles. All families were asked if they were happy for the content of the recordings to made public following the interviews, and all signed a consent form affirming this. The project is IRAS registered and gained ethical approval: IRAS ID 167713 REC Ref 15/YH/0299. The data has been analysed by the investigators using a thematic framework methodology, but could be open to other form of analysis. The authors were interested in why young men might delay to hospital, and once the finding of poor knowledge was established in early interviews, the project evolved to investigate what young people and their families feel are effective methods for testicular health education.
DOI: 10.17632/m7ndn58sv6.1
title: DATASET for: "Carotid Ultrasound Boundary Study (CUBS): Technical considerations on an open multi-center analysis of computerized measurement systems for intima-media thickness measurement on common carotid artery longitudinal B-mode ultrasound scans"

description: Here we provide the entire dataset (500 images, conversion factors for images, 3 manual segmentations, 7 computerized segmentations) for the article "Carotid Ultrasound Boundary Study (CUBS): Technical considerations on an open multi-center analysis of computerized measurement systems for intima-media thickness measurement on common carotid artery longitudinal B-mode ultrasound scans" published in Computers in Biology and Medicine, 2022 (DOI: https://doi.org/10.1016/j.compbiomed.2022.105333).

Any results obtained using the published dataset MUST cite the original research article (Meiburger K.M. et al, Carotid Ultrasound Boundary Study (CUBS): Technical considerations on an open multi-center analysis of computerized measurement systems for intima-media thickness measurement on common carotid artery longitudinal B-mode ultrasound scans", Computers in Biology and Medicine, 2022, DOI: https://doi.org/10.1016/j.compbiomed.2022.105333. See the ReadMe file "readme.txt" for all details. 

Abstract:
"After publishing an in-depth study that analyzed the ability of computerized methods to assist or replace human experts in obtaining carotid intima-media thickness (CIMT) measurements leading to correct therapeutic decisions, here the same consortium joined to present technical outlooks on computerized CIMT measurement systems and provide considerations for the community regarding the development and comparison of these methods, including considerations to encourage the standardization of computerized CIMT measurements and results presentation. A multi-center database of 500 images was collected, upon which three manual segmentations and seven computerized methods were employed to measure the CIMT, including traditional methods based on dynamic programming, deformable models, the first order absolute moment, anisotropic Gaussian derivative filters and deep learning-based image processing approaches based on Unet convolutional neural networks. An inter- and intra-analyst variability analysis was conducted and segmentation results were analyzed by dividing the database based on carotid morphology, image signal-to-noise ratio, and research center. The computerized methods’ obtained CIMT absolute bias results that were comparable with studies in literature and they generally were similar and often better than the observed inter- and intra-analyst variability. Several computerized methods showed promising segmentation results, including one deep learning method (CIMT absolute bias = 106 ± 89 μm vs. 160 ± 140 μm intra-analyst variability) and three other traditional image processing methods (CIMT absolute bias = 139 ± 119 μm, 143 ± 118 μm and 139 ± 136 μm). The entire database used has been made publicly available for the community to facilitate future studies and to encourage an open comparison and technical analysis."
DOI: 10.17632/3d4yftz66n.1
title: Methane pyrolysis products in a constant-volume reactor as a function of time

description: The data contains information about the methane decomposition products in a constant volume batch reactor as a function of time at high pressure. Methane pyrolysis was performed at 892 K, 1093 K and 1292 K and 399 kPa for a residence time ranging from 15-300 s. The high pressure data presented will be helpful in obtaining improved reaction kinetic models and develop optimized methane pyrolysis reactors.