cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/ydbv9t8fzr.1
title: Applying Machine Learning and Quantum Chemistry to Predict the Glass Transition Temperatures of Polymers

description: Developing models to predict glass transition temperatures (Tgs) of polymers is of significant importance given how the parameter quantifies the physical and thermal characteristics of these materials. These characteristics inform numerous functional properties of polymers as well as how they degrade both through intended use as well as through environmental mechanisms that result from end-of-life environmental deposition. For this reason, various models have been developed for predicting Tg from structural information to aid in designing novel polymer materials. These existing models, however, typically focus on utilizing one specific modeling technique to train a single class or set of polymers. To expand and explore the applicability of Tg models for predictions of new materials this work (1) utilizes both machine learning (ML) and quantum chemistry (QC) based techniques to investigate different data availability scenarios and (2) does not constrain the training datasets to any specific class of polymers. This methodology allows for a comparison of different techniques and situations to determine the applicability of Tg models when making predictions for novel polymer structures.
DOI: 10.17632/ph2xvpxs2y.1
title: DNA damage promotes TMPRSS2-ERG oncoprotein destruction and prostate cancer suppression via signaling converged by GSK3β and WEE1. Hong et al
DOI: 10.15468/dl.9vtnzt
title: Occurrence Download

description: A dataset containing 1114 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pinus virginiana Mill.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 1114 records from 96 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009262-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/xjkrpsn3dh.1
title: Supplemental Material | Vancomycin-Associated Drug-induced Hypersensitivity Syndrome: A Retrospective Cohort Study

description: Supplemental Tables 1 - 3.
DOI: 10.17632/h7bvnhz28x.1
title: tomato-leaf-diseases-detection

description: Tomato-leaf-diseases-detection-dataset
DOI: 10.17632/jfwxvrb46g.1
title: Data for: Effects of ground cover management on improving water and soil conservation in tree crop systems: A meta-analysis

description: This is the database of this meta-analysis. It's collected from 86 peer-review orchard articles all around the word.
DOI: 10.17632/3wn3p9btj8.1
title: Effectiveness of Village-Based Organization (VBO) in improving the livelihood of the rural community in Bangladesh

description: The study's overreaching objective was to evaluate the pros and cons of the newly adopted Village-Based Organization that was funded by the United Nations' Food and Agriculture Organization (FAO). Empirical data was collected following personal interviews and focus group discussions. The study revealed that VBO contributed to diversifying enterprises by promoting high-value crops, small-scale livestock, and other value-added activities. The respondents expressed their complimentary views about their uplifted living standards. The women’s active participation and consequent empowerment increased by restoring their rights on resources and decision making. Farmers Field School motivated the community to introduce new technologies and practices for maintaining their livelihoods better. Despite some limitations, the VBO helped reduce local disputes and criminal activities like dowry, the high-interest rate of credit, child marriage, and drug abuse. The study advocates replicating this concept in the whole country as a part of the corona pandemic stimulus package. It can curb Monga (seasonal famine), tackle incremental anthropogenic-climatic stressors, reduces the consumption of natural resources, achieves Sustainable Development Goals, and finally, uphold the aspiration of a "whole society approach" and "no one is left behind." Policy interventions are warranted to rectify the identified challenges and integrate the basic principles of sustainability, termed a holistic approach.
DOI: 10.17632/6z6w78968m.1
title: Patterns of Invoicing Currency in Global Trade: New Evidence

description: Dataset underlying the paper: 
Boz, Emine; Casas, Camila; Georgiadis, Georgios; Gopinath, Gita; Le Mezo, Helena; Mehl, Arnaud; Nguyen, Tra, 2022. "Patterns of invoicing currency in global trade: New evidence," Journal of International Economics, Elsevier, vol. 136(C).
DOI: 10.17632/p9k93zkcns.1
title: Material characterization of carbon nanotube-reinforced cementitious composites

description: An extensive data-set framework including various parameters, which alters the structural performance of CNT-reinforced cement-based composites is constructed for Machine learning models training purposes. Here, numerous mechanical attributes were collected via experimental tests conducted in previous literature. The properties which influence the mechanical behavior of NCT-reinforced materials were Cement type, Water-to-cement ratio (WC), Content of carbon nanotubes, External Diameter, Length, Functionalization method, Curing days, Curing temperature, and Dispersion method.
 
References 
G. Y. Li, P. M. Wang, X. Zhao, Mechanical behavior and microstructure of cement composites incorporating surface-treated multi-walled carbon nanotubes, Carbon 43 (6) (2005) 1239–1245.

X. Cui, B. Han, Q. Zheng, X. Yu, S. Dong, L. Zhang, J. Ou, Mechanical properties and reinforcing mechanisms ofcementitious composites with different types of multiwalled carbon nanotubes, Composites Part A: Applied Scienceand Manufacturing 103 (2017) 131–147.

S. Xu, J. Liu, Q. Li, Mechanical properties and microstructure of multi-walled carbon nanotube-reinforced cementpaste, Construction and Building Materials 76 (2015) 16–23.

B. Wang, Y. Han, B. Pan, T. Zhang, Mechanical and morphological properties of highly dispersed carbon nanotubesreinforced cement based materials, Journal of Wuhan University of Technology-Mater. Sci. Ed. 28 (1) (2013) 82–87.

G. Y. Li, P. M. Wang, X. Zhao, Pressure-sensitive properties and microstructure of carbon nanotube reinforced cementcomposites, Cement and Concrete Composites 29 (5) (2007) 377–382.

M. O. Mohsen, R. Taha, A. Abu Taqa, N. Al-Nuaimi, R. A. Al-Rub, K. A. Bani-Hani, Effect of nanotube geometryon the strength and dispersion of cnt-cement composites, Journal of Nanomaterials 2017 (2017).

M. del Carmen Camacho, O. Galao, F. J. Baeza, E. Zornoza, P. Garc ́es, Mechanical properties and durability of cntcement composites, Materials 7 (3) (2014) 1640–1651.

F. T. Isfahani, W. Li, E. Redaelli, Dispersion of multi-walled carbon nanotubes and its effects on the properties ofcement composites, Cement and Concrete Composites 74 (2016) 154–163.

M. O. Mohsen, R. Taha, A. A. Taqa, A. Shaat, Optimum carbon nanotubes’ content for improving flexural andcompressive strength of cement paste, Construction and Building Materials 150 (2017) 395–403.
DOI: 10.17632/zr7vgbcyr2.1
title: PAD-UFES-20: a skin lesion dataset composed of patient data and clinical images collected from smartphones

description: Summary description - The PAD-UFES-20 dataset was collected along with the Dermatological and Surgical Assistance Program (in Portuguese: Programa de Assistência Dermatológica e Cirurgica - PAD) at the Federal University of Espírito Santo (UFES-Brazil), which is a nonprofit program that provides free skin lesion treatment, in particular, to low-income people who cannot afford private treatment. - The dataset consists of 2,298 samples of six different types of skin lesions. Each sample consists of a clinical image and up to 22 clinical features including the patient's age, skin lesion location, Fitzpatrick skin type, and skin lesion diameter. - The skin lesions are: Basal Cell Carcinoma (BCC), Squamous Cell Carcinoma (SCC), Actinic Keratosis (ACK), Seborrheic Keratosis (SEK), Bowen’s disease (BOD), Melanoma (MEL), and Nevus (NEV). As the Bowen’s disease is considered SCC in situ, we clustered them together, which results in six skin lesions in the dataset, three skin cancers (BCC, MEL, and SCC) and three skin disease (ACK, NEV, and SEK) - All BCC, SCC, and MEL are biopsy-proven. The remaining ones may have clinical diagnosis according to a consensus of a group of dermatologists. In total, approximately 58% of the samples in this dataset are biopsy-proven. This information is described in the metadata. - The images present in the dataset have different sizes because they are collected using different smartphone devices. All images are available in .png format. - The metadata associated with each skin lesion is composed of up to 26 features. All features are available in a CSV document in which each line represents a skin lesion and each column a metadata feature. - In total, there are 1,373 patients, 1,641 skin lesions, and 2,298 images present in the dataset. Each image/sample has a reference to the patient and the skin lesion in the metadata. Ethics statement The dataset was collected along with the Dermatological and Surgical Assistance Program (PAD) of the Federal University of Espírito Santo. The program is managed by the Department of Specialized Medicine and was approved by the university ethics committee (nº 500002/478) and the Brazilian government through Plataforma Brasil (nº 4.007.097), the Brazilian agency responsible for research involving human beings. In addition, all data is collected under patient consent and the patient’s privacy is completely preserved. ____ If you have any question do not hesitate to get in touch with us.
DOI: 10.17632/k28dtm7tr6.1
title: KARD - Kinect Activity Recognition Dataset

description: KARD contains 18 Activities. Each activity is performed 3 times by 10 different subjects. 1 Horizontal arm wave 2 High arm wave 3 Two hand wave 4 Catch Cap 5 High throw 6 Draw X 7 Draw Tick 8 Toss Paper 9 Forward Kick 10 Side Kick 11 Take Umbrella 12 Bend 13 Hand Clap 14 Walk 15 Phone Call 16 Drink 17 Sit down 18 Stand up In total, you have 4 (files) x 18 (activities) x 3 (repetitions) x 10 (subjects), that is 2160 files. Each filename is in the form aA_sS_eN_string where A is a two-digit actionID and S is a two-digit subjectID for the N-th repetition. The string parameter depends on the the type of provided information: - depthmaps.txt: depth map, - .mp4: 640x480 RGB video, - realworld.txt: joints position in real world coordinates, - screen.txt: joints position in screen coordinates and depth value. For example, the file a04_s03_e02_realworld.txt contains the skeleton joints position in real world coordinates for the second repetition of the action #4 performed by the subject #3. The files containing the skeleton coordinates (realworld.txt and screen.txt) list the 15 joints in consecutive blocks, one for each frame. line 1 Head line 2 Neck line 3 Right Shoulder line 4 Right Elbow line 5 Right Hand line 6 Left Shoulder line 7 Left Elbow line 8 Left Hand line 9 Torso line 10 Right Hip line 11 Right Knee line 12 Right Foot line 13 Left Hip line 14 Left Knee line 15 Left Foot Each file contains 15xF lines, where F is the number of frames for that sequence, and each line reports three numbers: real world coordinates (x, y, z) for realworld.txt, or screen coordinates and depth value (u, v, depth) for screen.txt. The dataset is made of 540 sequences for about a total of 1 hour of videos captured at a resolution of 640x480 pixels at 30fps. Uncompressed frame images are also available on request. If you use this dataset, please cite the following paper: Human Activity Recognition Process Using 3-D Posture Data. S. Gaglio, G. Lo Re, M. Morana. In IEEE Transactions on Human-Machine Systems. 2014 doi: 10.1109/THMS.2014.2377111
DOI: 10.17632/n8k6ss8hcg.2
title: Special economic zones upgrading and carbon emission reduction firm level data

description: In calculating the carbon emissions of listed companies, we use fossil energy consumption, electricity consumption, and heat consumption manually collected from the corporate social responsibility reports (CSR reports), sustainable development reports, and environmental reports disclosed annually by 3,352 listed Chinese companies from 2003 to 2021. We have manually sorted out the list and time of the upgrading of SEZs in 272 cities. The relevant information about the upgrading of SEZs comes from the China Development Zone Audit Announcement (2006 edition) released by the NDRC and other departments . This set of data records the details of state- and provincial-level SEZs that have been officially recognized after a large-scale rectification in 2003, including the names, types, and approval authorities of SEZs. The financial information of the listed companies involved in the control variables is all from the China Stock Market & Accounting Research Database (CSMAR Database).
DOI: 10.17632/8ymh93nbsc.2
title: Foreign direct investment and Innovation - developing countries

description: The data is extracted from WDI and GII for developing countries between 2013 and 2021
DOI: 10.17632/n294b3yzz4.1
title: Dissertation data

description: This dataset contains data on Russian public companies. Financial sector organizations were not included in the sample. It is worth describing separately the data collection process, which was divided into two parts. First of all, qualitative characteristics of corporate governance were searched and systematized. Due to the lack of access to the Bloomberg terminal, it was necessary to collect indicators "manually". Additional difficulties were caused by the fact that there is no regulated corporate governance disclosure form. Thus, companies provided data in different ways. The main sources of information were organizations' annual reports, issuer's quarterly reports, sustainability reports, IFRS financial statements, as well as relevant sections of companies' official websites. At the same time, the listed reports were not always contained on the official websites of the organizations under consideration, therefore the following information resources were used additionally: Interfax, Cbonds and LiveTrader. At the second stage of data collection we systematized financial indicators taken from IFRS statements of the companies.
Corporate governance indicators: BSIZE (size of the Board of Directors), BIND (percentage of independent members of the Board of Directors), DUAL1 (combining the roles of CEO and member of the Board of Directors), DUAL2 (combining the roles of CEO and Chairman of the Management Board), YCEO (CEO irremovability - logarithm of the number of years in the position), COMT (presence of internal audit, remuneration and nomination committees), COMTIND (degree of independence of internal committees), AUDIT (dummy variable equal to 1 if audited by a Big4 company), REMUN1 (percentage of remuneration to members of the Board of Directors as a percentage of total personnel expenses), REMUN2 (percentage of remuneration to members of the Management Board as a percentage of total personnel expenses), REMUN3 (percentage of remuneration to key management personnel as a percentage of total personnel expenses).
Financial indicators: ROCE (return on capital employed), SIZE (company size), QTOB (Tobin ratio), TANG (tangible fixed assets to total assets), AGE (company age), NDTS (annual depreciation to total assets), INT (interest rate).
The sample includes data from 2012 through 2021. It was important to have reliable information for each indicator required for the analysis. Otherwise, the company was excluded from the sample. The final sample included 32 Russian public companies. All indicators were taken in annual terms due to the specifics of corporate governance factors (with a few exceptions, they change no more than once a year). Thus, 320 observations were available for the analysis.
DOI: 10.17632/5b4vpr4752.1
title: Social Media influencers-Content Analysis
DOI: 10.17632/9gj26z24b8.1
title: The Validation of the Weiss Partner Betrayal Trauma Scale: The Data

description: This study was conducted to validate the Weiss Partner Betrayal Trauma Scale (WPBTS); a self-report measure of traumatic spousal betrayal in wives of sex addicts for counselors and researchers. After creating an initial pool of scale items and receiving feedback from a panel of experienced sexual addiction counselors, the WPBTS was edited and pilot tested. Principle component analysis with varimax rotation revealed a simple four-factor structure which accounted for 60.8% of the total variance. Reliability analysis showed sufficient internal consistency (α = .840). Discriminant validity was established using three comparative measures: the number of betrayals, the Couples Satisfaction Index, and a Post-Traumatic Stress Disorder assessment. The WPBTS is established as a measure with strong expert, construct, and discriminant validity. Implications for the use of the WPBTS are discussed.
DOI: 10.17632/56g289zfvb.1
title: Dating Apps in China

description: This data was use to examine how psychological factors, such as social anxiety and privacy concerns, as well as cultural values and technological proficiency, shape user engagement and relationship outcomes across five major Chinese dating platforms (Tantan, Momo, Baihe, Jiayuan, and Soul).
DOI: 10.17632/bw7c53gg8g.1
title: Extracellular vesicles promote transkingdom nutrient transfer during viral-bacterial co-infection. Hendricks et al.
DOI: 10.17632/g58gz323xv.1
title: Social enrichment improves affective state and foraging behavior while maintaining growth performance in broiler chickens

description: This study hypothesizes that broiler chickens exposed to social enrichment (n = 48) through regular positive human interactions will exhibit enhanced behavioral welfare indicators such as increased exploratory behaviors (locomotion, foraging), a reduced fear response (measured through tonic immobility and attention bias tests), a preference for sweet and umami compounds, and improved growth performance when compared to those exposed solely to physical enrichment (n = 48)(e.g., perches, platforms, and straw bales). 
The data analysis includes behavioral observations capturing both the frequency and duration of various behaviors in broiler chickens, such as feeding, drinking, locomotion, lying, preening, dustbathing, interaction with environmental enrichment (perches, platforms), and social behaviors like mock fighting and gentle pecking, as well as foraging. The dataset also contains information from the attention bias test, which measures the duration of behaviors such as first step, begin feeding, time spent feeding, and resume feeding, along with binary scores (1-0) indicating the presence or absence of vigilance behaviors like erect posture, neck stretching, looking around, and freezing. In the section on sweet and umami taste preferences, the data reflect the consumption of two matrices, one neutral with water and another containing sucrose or monosodium glutamate (MSG), calculated by subtracting the remaining solution from the total offered. The results of the tonic immobility test are also included, which record the time in seconds each bird remained immobile. Finally, the productive data encompass parameters such as average daily gain (ADG), average daily feed intake (ADFI), feed conversion ratio (FCR), and final body weight (BW), measured throughout the 43-day production cycle to evaluate the impact of different enrichment strategies on broiler productivity.
DOI: 10.17632/bcbptkrbsg.1
title: GoogleEarthEngine_ImageFusion

description: Code to perform ESTARFM-like image fusion on Google Earth Engine. See the README.txt for additional details.
DOI: 10.17632/jhncgpbp54.1
title: : Strategy towards Sustainable Energy Transition: The Effect of Policy Uncertainty, Environmental Technology and Natural Resources Rents in the OECD nations

description: The data and code used in Strategy towards Sustainable Energy Transition: The Effect of Policy Uncertainty, Environmental Technology and Natural Resources Rents in the OECD nations
DOI: 10.17632/4rcf98s74c.1
title: isoap: A software for isosurface extraction on arbitrary polyhedra

description: The implemented algorithm extracts, from discrete data, isosurfaces on arbitrary polyhedra, convex or non-convex, even with non-planar face boundaries. The software package also includes a user manual and routines for writing the geometry of polyhedra and isosurfaces in external files. Tests programs are included to extract isosurfaces on single polyhedral cells and grids of any type, either from implicit mathematical functions or discrete data such as volume fractions or signed distances to scanned surfaces. The proposed method for isosurface extraction on arbitrary polyhedra uses a general polygon tracing procedure, which can be applied to any convex or non-convex geometry, and produces consistent results even for ambiguous situations. The locations of the extracted isosurface points are approximately computed by interpolation. This procedure does not rely on predefined configurations and can be considered as an extension of the marching cubes technique to arbitrary polyhedra. The implemented routines can be used in FORTRAN or C, and, to speed up the operations performed over grids, the OpenMP application programming interface is used. The proposed algorithm can be used in multiple applications, including the visualization of surfaces in computer graphics or the reconstruction of interfaces in PLIC (piecewise linear interface calculation) VOF (volume of fluid) methods.
DOI: 10.17632/78s62knpjp.1
title: Data for: Impact of Heat of Sorption on Thermal Enhanced Recovery of Sorbed Gas from Gas Shale Reservoirs – an Experimental and Simulation Study

description: Adsorption isotherms and production estimates for thermal enhanced gas recovery
DOI: 10.17632/22zphcp3ww.1
title: Implications of mental training interventions (mindfulness and guided imagery) on the well-being and performance of athletes: A systematic review and meta-analysis

description: Data set containing the figures of analysis in the manuscript, as below:

 Figure 1. PRISMA flow diagram.
Figure 2. Risk of bias summary & graph.
Figure 3. Forest plot of comparison: Outcomes on mindfulness.
Figure 4. Forest plot of comparison: Athlete sports performance outcomes.
Figure 5. Forest plot of comparison: Physiological performance outcomes.
Figure 6. Forest plot of comparison: Psychological performance outcomes (positive).
Figure 7. Forest plot of comparison: Psychological performance outcomes (negative).
Supplementary Figure 8. Funnel plot analysis.
DOI: 10.17632/82zygyrsk3.4
title: Dataset for Child schooling/ Out of school children in Kwara state, Nigeria

description: This data is a primary data collected with the use of a questionnaire to analyse the situation of child schooling in Kwara State, Nigeria. This data has been coded, and the data was collected from Ilorin, Offa, Lafiagi and Patigi, representing the three senatorial districts in the state, Kwara Central, Kwara South and Kwara North.
This work has been approved by the Ethics committee of the Universiti Sains Malaysia (JEPEM), and all the conditions were strictly adhered to in the data collection process.
This data was collected from about 1120 households across six local governments within the three senatorial districts and is representative of the state.
Attached with the data set is a table describing the dataset and the questionnaire with the informed consent form.