cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/ry392rp8cj
title: MaVeCoDD Dataset: Marine Vessel Hull Corrosion in Dry-Dock Images

description: Following SOLAS regulations sea-going vessels have to undergo at least two dry docks at a minimum every three (operational) years. The process refers to a vessel brought to dry land so that submerged portions of the hull can be cleaned and inspected. Both the docking process and the defect inspection is time consuming and expensive. Human experts are performing the inspection by means of visual inspection. Several image processing algorithms have been proposed to perform corrosion detection and could be used for vessel defect detection. However, to the best of our knowledge, there are no image sequences for benchmarking the performance of any algorithm and method. The purpose of this dataset is precisely to provide a benchmark dataset for current and future use. This dataset was collected and took the current form over the period of summer 2019 and 2020. The dataset of images was collected during dry docking of large vessels via two different cameras. The image folder contains high resolution images in one folder, and low resolution images in a second folder, alongside the labeled images that can be used as ground truth. Other issues, such as changing lighting conditions and general surface artifacts, are also evident, particularly in the low resolution images folder. Visual inspections were performed by trained professionals. The collected images correspond to hull areas that are deemed by the human inspector as being problematic. The inspector then highlights the regions of interest by manually labeling regions of interest identified as corroded. Note that these manually labeled images are deemed to be corroded and/or could produce rust on the surface of the hull in the (near) future. You can use the dataset provided herein to test any machine vision / deep learning algorithm. For that purpose, we further offer a python script (under the utils folder) to transform our image labels into JSON format coco annotations for use with deep learning frameworks (e.g. Keras API).
DOI: 10.17632/vkpbndkp9m
title: Data for: Asymmetric effects of oil prices and exchange rates on China’s industrial prices

description: This is the data for the full sample period during January 2000 to June 2019. And in our study,we also divide this full sample into two subsamples, a pre-crisis subsample of data from January 2000 to August 2008 and a post-crisis subsample of data from June 2010 to June 2019.
DOI: 10.17632/xcfcnngwyk
title: Suicide Risk in Medical School Applicants, Risk Factors and Protective Factors

description: Suicide is a serious public health problem that can be prevented. The university population is a vulnerable group that can develop emotional disorders, and medical students have higher anxiety, depression, and suicidal ideation levels. It is a cross-sectional, observational, and descriptive study where suicide risk, depression, anxiety, assertiveness, self-efficacy, emotional dysregulation, problem-solving, coping, and self-esteem in students of the premedical course are evaluated. In medical students, mental health is a relevant issue due to the high workload, long hours of study, and little free time. These stressful situations can trigger affective disorders and suicidal ideation. It is necessary to provide psychological support programs and interventions that contribute to increasing the psychological well-being and quality of life of students.
DOI: 10.17632/r8pvmv49bg
title: Advances and setbacks in health and well-being in rural women, data set for a systematic literature review

description: Search strategy and data set for a systematic review in SDG3: TITLE-ABS-KEY ( "Rural Women"  OR  "Rural Population*"  OR  "Rural Area"  OR  "Rural"  OR  "Urban Rural Difference"  OR  "Rural Workers"  OR  "Internal Migration"  OR  "Rural Areas" )  AND  TITLE-ABS-KEY ( ( ( human  AND  ( health*  OR  disease*  OR  illness*  OR  medicine*  OR  mortality ) )  OR  {battered child syndrome}  OR  {cardiovascular disease}  OR  {cardiovascular diseases}  OR  {chagas}  OR  {child abuse}  OR  {child neglect}  OR  {child well-being index}  OR  {youth well-being index}  OR  {child wellbeing index}  OR  {youth wellbeing index}  OR  {water-borne disease}  OR  {water-borne diseases}  OR  {water borne disease}  OR  {water borne diseases}  OR  {tropical disease}  OR  {tropical diseases}  OR  {chronic respiratory disease}  OR  {chronic respiratory diseases}  OR  {infectious disease}  OR  {infectious diseases}  OR  {sexually-transmitted disease}  OR  {sexually transmitted disease}  OR  {sexually-transmitted diseases}  OR  {sexually transmitted diseases}  OR  {communicable disease}  OR  {communicable diseases}  OR  aids  OR  hiv  OR  {human immunodeficiency virus}  OR  tuberculosis  OR  malaria  OR  hepatitis  OR  polio*  OR  vaccin*  OR  cancer*  OR  diabet*  OR  {maternal mortality}  OR  {child mortality}  OR  {childbirth complications}  OR  {neonatal mortality}  OR  {neo-natal mortality}  OR  {premature mortality}  OR  {infant mortality}  OR  {quality adjusted life year}  OR  {maternal health}  OR  {preventable death}  OR  {preventable deaths}  OR  {tobacco control}  OR  {substance abuse}  OR  {drug abuse}  OR  {tobacco use}  OR  {alcohol use}  OR  {substance addiction}  OR  {drug addiction}  OR  {tobacco addiction}  OR  alcoholism  OR  suicid*  OR  {postnatal depression}  OR  {post-natal depression}  OR  {zika virus}  OR  dengue  OR  schistosomiasis  OR  {sleeping sickness}  OR  ebola  OR  {mental health}  OR  {mental disorder}  OR  {mental illness}  OR  {mental illnesses}  OR  {measles}  OR  {neglected disease}  OR  {neglected diseases}  OR  diarrhea  OR  diarrhoea  OR  cholera  OR  dysentery  OR  {typhoid fever}  OR  {traffic accident}  OR  {traffic accidents}  OR  {healthy lifestyle}  OR  {life expectancy}  OR  {life expectancies}  OR  {health policy}  OR  ( {health system}  AND  ( access  OR  accessible ) )  OR  {health risk}  OR  {health risks}  OR  {inclusive health}  OR  obesity  OR  {social determinants of health}  OR  {psychological harm}  OR  {psychological wellbeing}  OR  {psychological well-being}  OR  {psychological well being}  OR  {public health} ) )  AND  ( LIMIT-TO ( PUBYEAR ,  2024 )  OR  LIMIT-TO ( PUBYEAR ,  2023 )  OR  LIMIT-TO ( PUBYEAR ,  2022 ) )
DOI: 10.6084/m9.figshare.3561534.v1
title: Appendix A. Detailed temperature manipulation and experimental channel methods description and statistical output from mixed-effects model selection.

description: Detailed temperature manipulation and experimental channel methods description and statistical output from mixed-effects model selection.
DOI: 10.17632/3m6dmrnt38
title: MathCad 11 code

description: Two sets of code: Miedema.mcd is just illustrative for AuPt (2D) and AuPtPd (3D) enthalpy and free energy shapes on composition while Miedema Ir.mcd is extended to all processes data.
DOI: 10.17632/zrsbhndz9f
title: Dataset of compressive strength and slump of normal concrete

description: The dataset for compressive strength and slump of normal concrete is sourced from the mix proportion ledger of Guangxi Road and Bridge Group Road and Bridge Pavement Branch in November 2022. The compressive strength dataset includes 9 characteristics: cement dosage, fine aggregate dosage, coarse aggregate dosage, water dosage, water reducing agent dosage, fly ash dosage, promoter dosage, silica fume dosage, and curing time. The slump dataset includes eight characteristics: cement dosage, fine aggregate dosage, coarse aggregate dosage, water usage, water reduction management dosage, fly ash dosage, accelerator dosage, and silica fume dosage
DOI: 10.17632/8bvv2pr2d3
title: Comprehensive Dataset of Mandarin Leaf Varieties.

description: Dataset Description:
This dataset contains information on four varieties of mandarin leaves collected from Bangladesh. The varieties included are China Misti, Mandarin, Darjeeling, and Nagpuri. Unique features characterize each array. The data was collected through field surveys and direct sampling from Mandarin orchards. The datasets were made with four varieties of healthy leaves, including China Mishti(511 leaves), Mandarin(540 leaves), Darjeeling(500 leaves), and Nagpuri(366 leaves). The datasets are built for research purposes. For that reason, it was divided into final augmentation, test, training and validation parts. The datasets are organized in a format that anyone can easily use. The categorize folder helps to understand the use of images in research work. The data set provides a file format (JPG) with four separate varieties in the folder. 

Usages:
The Bangladesh Mandarin Varieties dataset offers extensive applications across various fields, featuring detailed information on China Mishti, Mendaring, Darjeeling, and Nagpuri Mandarin types. In data science and machine learning, the dataset can be used for predictive analytics, classification, clustering, and deep learning applications such as image recognition and yield prediction. Environmental scientists can study the impact of climate and sustainable practices on leaf health. Additionally, the dataset serves educational purposes, providing a practical resource for teaching and student projects in data analysis and agricultural science. 

Data sources: 
Most of the data was collected from Natore, Bangladesh. Few data were collected from Dhaka.

Data Size:
The file size is 7.77 GB and has four folders of Mandarin varieties, such as China Mishti, Mendaring, Darjeeling, and Nagpuri where the image dimension is 2608*4624 pixels. 
After the primary data process, we made eight (8) thousand data in augmentation. There are two (2) thousand data in each Mandarin variety: China Mishti, Nagpuri, Darjeeling, and Mendaring. Then, the augmented data was separated into three sub-folders, with 80% in the test folder,10% in the train folder, and another 10% for validation with a total storage size of 1.18 GB.
DOI: 10.17632/cf65mywnsf
title: Data for: Projected Climate Change Impacts on Future Streamflow of the Yarlung Tsangpo-Brahmaputra River

description: Daily processes and monthly processes of observed streamflow and simulated streamflow forced by WFD and native/corrected RCMs during historical period at Bahadurabad.
DOI: 10.17632/vmh244j5s9
title: Medical waste-to-methanol process

description: The attached Aspen Plus file contains a process model for converting medical waste to methanol.
The attached Excel file contains the collecting data of operating parameters and total carbon emission related to the designed process.
The attached MATLAB code enables data-driven optimization of the designed process based on artificial neural network automatically.
DOI: 10.17632/xvr3dzvdcw
title: Data for: Differential Temperature Sensitivity of Intracellular and Extracellular Soil Enzyme Activities

description: We pre-incubated soils at 5 °C, 15 °C or 26 °C to acclimatise the microbial communities to different thermal regimes for 60 days before measuring potential activities of β-glucosidase and chitinase (extracellular enzymes), glucose-induced respiration (intracellular enzymes), and basal respiration at a range of assay temperatures (5 °C, 15 °C, 26 °C, 37 °C, and 45 °C). There are four datasets provided here: Soil properties measured after the pre-incubation (pH, C, N, C/N ratio, and microbial biomass C) β-glucosidase potential activity (pNP µg g dry soil h-1) Chitinase potential activity (pNP µg g dry soil h-1) CO2 flux (respiration) (mg C g soil h-1)
DOI: 10.17632/gv4n2j4jw5
title: Dermoscopy_Color_Supplemental_Figures

description: Benign Lesion Dermoscopy
DOI: 10.17632/k64vmwz5k3
title: Transcultural Adaptation of Stages of concerns questionnaire into Arabic

description: The dataset corresponds to the data collected as part of cross-cultural adaptation of the Stages of Concerns (SoC) questionnaire into Arabic for measuring the concerns about educational technologies adoption by Tunisian primary teachers. For cross-cultural adaptation, we adopt the ITC guidelines for translating and adapting tests by the International Test Commission (2017). A total of 1110 teachers from different public schools took part in the study. The five-dimensional alpha coefficients of the SoC indicate an excellent internal consistency, respectively, of 0.801 (Awareness), 0.909 (Informational/Personal), 0.834 (Management), 0.882 (Consequence/Collaboration) and 0.928 (Refocusing). The final Arabic version of SoC questionnaire shows an excellent CFA fit indices (χ2⁄df=2.418, CFI=0.984, RMSEA=0.036, SRMR=0.034), demonstrating the robustness and the construct validity of the survey. Multigroup confirmatory factor analysis (MGCFA) results confirmed configurational, metric and scalar invariance based on the amount of gender and seniority. We conclude that the Arabic version of the SoC questionnaire is reliable and is equally applicable to different subgroups within the Tunisian primary teacher population.
DOI: 10.17632/ncbrf53hys
title: Data for: Biologically Mediated Accumulation of Transition Metals and Metalloids in sulfidized stromatolites of the 3.48 billion–year–old Dresser Formation, Pilbara Craton

description: LA-ICP-MS element analyses of pyrite and sphalerite in Dresser Formation stromatolites
DOI: 10.17632/zdkh23d9y6
title: Advanced Data Analysis TCGA Data

description: Publicly available data from The Cancer Genome Atlas used to generate insights about genomic influence on clinical outcomes.
DOI: 10.17632/d6csk9yvry
title: Models and Analysis Results

description: This open repository contains the proposed model and the obtained results for the paper "Modeling and Simulation of the IEEE 802.11e Wireless Protocol with Hidden Nodes using Colored Petri Nets".
DOI: 10.17632/fbg3x2jsnd
title: Evaluation of the physical-chemical degradation of biodegradable plastics sold in supermarkets | Evaluación de la degradación físico-química de plásticos biodegradables expendidos en los supermercados

description: The present investigation proposed to evaluate the
degradability of plastic materials declared publicly as biodegradable
plastics. Its physical and mechanical properties were determined.
Likewise, the materials were characterized by Fourier Transform
Infrared Spectroscopy (FTIR) and Scanning Electron Microscopy
(SEM).
Two plastics declared as biodegradable (TA and TB) and a
conventional plastic such as Polyethylene (TC) were selected, which
were subjected to different environments such as water, soil and
weather, the study was carried out for a period of 4 months.
It was determined that the biodegradable plastic TA presented a
greater weight loss when subjected to soil and water, while TB and
TC did not present significant changes in these media. The TB
sample presented the greatest weight loss when exposed to the
elements. When subjected to mechanical tests, it was observed that
the TA samples showed a greater decrease in the properties of
maximum resistance and deformation. This behavior was
corroborated with SEM, where TA was the one that showed the most
signs of degradation when exposed to different media, TB plastic,
despite being sold as a biodegradable material, showed slight
changes in its morphology like TC plastic. While the FTIR analysis
revealed slight variations in their peaks and in the absorbances of
the regions corresponding to the biodegradable molecules.
Keywords- Starch, plastics, biodegradable, polyethylene.
DOI: 10.17632/tr332f3g2x
title: Mitochondrial small Tim chaperone: 1H-15N heteronuclear NOE in hexameric and monomeric states

description: Steady-state heteronuclear Overhauser Effect data of the mitochondrial small-Tim subunits Tim9, Tim10 and Tim12. The different data sets pertain either to the monomeric subunit in its oxidized state (the four conserved Cys are engaged in disulfide bonds), or reduced (Cys in the -SH state), or in the hexameric TIM9·10 state (wherein the Cys are oxidized). The data were obtained as the ratio of the intensities of two spectra, with and without 1H pre-saturation, using the hetNOE pulse sequence implemented in the NMRlib library (https://www.ibs.fr/research/scientific-output/software/pulse-sequence-tools/article/nmrlib-2-0-ibs-pulse-sequence-tools-for-bruker-spectrometers-4279). The data were measured at a magnetic field strength of 14.1 Tesla (=600 MHz 1H Larmor frequency). Details are described in Weinhäupl, Wang, Hessel, Brennich, Lindorff-Larsen & Schanda, Structure 2021 (in press).
DOI: 10.17632/wh23k3pknj
title: Neutron imaging and Impedance

description: Synchronous Electrochemical Impedance Spectroscopy and Neutron Imaging
DOI: 10.15468/dl.6jj532
title: Occurrence Download

description: A dataset containing 98 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Issue is one of (Coordinate rounded, Geodetic datum assumed WGS84, Coordinate reprojected, Country derived from coordinates, Continent derived from coordinates)",
 "OccurrenceStatus is Present",
 "TaxonKey is Thorius aureus Hanken & Wake, 1994"
 ]
}

 The dataset includes 98 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012879-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/3j9yh8znj4
title: Bike&Safe Dataset

description: This dataset is part of a paper:

Blauth da Silva, Germano; Tavares, João (2022). Bike&Safe: A model to support cyclist accident prevention in smart cities.

Abstract: 

A model to support cyclist accident prevention in smart cities. 

This dataset collects data from the accelerometer, gyroscope, magnetometer, and GPS sensors of the smartphone positioned on the handlebar of the bicycle.

The coordinate system is defined relative to the screen of the phone in its default orientation. The axes are not swapped when the device's screen orientation changes.
The X axis is horizontal and points to the right, the Y axis is vertical and points up and the Z axis points towards the outside of the front face of the screen. In this system, coordinates behind the screen have negative Z values.

Dataset Information:

1. The dataset was recorded in three different routes. Each route goes from point A to point B, via roads.
2. Each scenario was recorded 3 times
3. The routes are informed below:

First route: https://bit.ly/3NsJ3vx

Second route: https://bit.ly/3DR3jUk

Third route: https://bit.ly/3TXFlMU

Number of samples: 12
Number of Instances: 811781
Data Set Characteristics:  Sequential Data, Time Series Data, Multivariate Data, Correlation
Area: Traffic Safety 
Attribute Characteristics: Integer, Double
Number of Attributes: 5

Relevant Information:

1. The dataset collects data from an Android smartphone which is positioned on the handlebar of the bicycle.
2. The data sensors collected are accelerometer, gyroscope, magnetometer, and GPS.
3. The sampling frequency of the sensors is DELAY_FASTEST - 20 milliseconds for accelerometer, gyroscope and magnetometer.
4. Each recording generated four files:
     i. Accelerometer.
     ii. Gyroscope.
     iii. Magnetometer.
     iv. GPS.
5. The three first files contain the following information:
     Timestamp, Id, x axis, y axis, z axis.
6. GPS file contains the following information:
     Timestamp, Id, Latitude, Longitude, Sensor speed.
7. Data format: CSV
DOI: 10.17632/nt6kx9pkv3
title: Comparative genomics illuminates karyotype and sex chromosome evolution of sharks. Wu et al.

description: Cell-1

shark-0321-100x-2-scale1_C001T001.tif: Chromosomes stained with DAPI.

shark-0321-100x-2-scale1_C002T001.tif: Red fluorescent signal of the probe (originating from the Y chromosome).

shark-0321-100x-2-scale1_T001.tif: The merged result of probe signal and DAPI signal.



Cell-2

shark-0321-100x-15-scale_C001T001.tif: Chromosomes stained with DAPI.

shark-0321-100x-15-scale_C002T001.tif: Red fluorescent signal of the probe (originating from the Y chromosome).

shark-0321-100x-15-scale_T001.tif: The merged result of probe signal and DAPI signal.



Cell-3

shark-0321-100x-13_C001T001.tif: Chromosomes stained with DAPI.

shark-0321-100x-13_C002T001.tif: Red fluorescent signal of the probe (originating from the Y chromosome).

shark-0321-100x-13_T001.tif: The merged result of probe signal and DAPI signal.
DOI: 10.6084/m9.figshare.14925351.v2
title: EMA_data.csv

description: This study aims to investigate how daily activities affect mood in the context of social distancing guidelines enforced during the COVID-19 pandemic. Using Ecological Momentary Assessment (EMA) administered four times a day during a two-week period, we asked participants (N = 91) about their mood and the activities they engaged in.
DOI: 10.17632/3478b79fpt
title: Risk-incentive trade-off in moral hazard with risk management

description: The current folder contains all the code and data files that were used for obtaining the empirical results of the paper “Risk-incentive trade-off in moral hazard with risk management: Theoretical analysis and empirical verification. The instructions are in the "read me" file.
DOI: 10.17632/7w55385wp7
title: Krogulec, E., Sawicka, K., & Zabłocki, S., (2025), [Dataset] for Spatiotemporal Assessment of Groundwater Drought in a River Valley Aquifer Using Standardized Indices in Central Poland

description: his research is supported by four primary datasets, each contributing to the spatiotemporal assessment of hydrogeological drought in the Kampinos National Park, Poland:

Precipitation Time Series (time series_precipitation.xlsx)
This file contains monthly precipitation totals (in millimeters) recorded between January 1, 1999 and October 1, 2020. Data were collected from nine meteorological stations located within the Kampinos National Park: Izabelin, Dziekanów Leśny, Famułki, Kiścienne, Leszno, Pociecha, Wilków, Rybitew, and Granica.

Groundwater Level Time Series (time series_groundwater.xlsx)
This dataset includes monthly measurements of groundwater levels (in meters above sea level, m a.s.l.) from 56 piezometers forming part of the Kampinos National Park monitoring network. The time coverage is consistent with the precipitation dataset: from January 1, 1999 to October 1, 2020.

Meteorological Station Locations (location_precipitation stations.xlsx)
This file provides the geographical coordinates (ETRF 1989 / Poland 1992 reference system) for the nine weather stations used in the precipitation monitoring network.

Piezometer Locations (location_piezometers.xlsx)
This file contains the names and spatial coordinates (ETRF 1989 / Poland 1992) of the 56 piezometers included in the groundwater observation network.

Together, these datasets offer high-resolution temporal and spatial insight into the interactions between meteorological conditions and groundwater dynamics in a natural, protected aquifer system. They form the empirical basis for the drought index calculations and cluster-based spatiotemporal analysis presented in the study.
DOI: 10.17632/8458tgzc73
title: Data for: A new Vs30 map for Italy based on the seismic microzonation dataset

description: -3 RAR files: raster file for Vs30 mean, Vs30-sigma, Vs30+ sigma -legend.qml: style for Vs30 raster file visualization for QGIS users
DOI: 10.17632/gk56yz2pmm
title: BTES Plants Worldwide Distribution

description: The file you can download is a geopackage file created in QGIS. You can import the point shapefile directly into your GIS software. The reference system is WGS 84 / Pseudo-Mercator EPSG:3857. Here's a list of the columns in the attribute table: "fid" is the identification number, "Country" is the name of the country, "City" is the name of the city where the BTES facility is located, "X" is the x-coordinate of the point, "Y" is the y-coordinate of the point, "Year" is the year the BTES plant was built, "Type" is the BHEs type (U-tube, double-tube or coaxial), "Source" is the main BTES source. "Depth" is the maximum depth of the BHE from the ground in metres. "n°BHE" is the total number of BHE in the BTES plant. "Max Temp C" is the maximum temperature of the BTES in Celsius (C°). "Sizetot MW" is the thermal power expressed in MW. In 'Reference', you will find links to the reference paper.