cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/pv4bjg2ync.1
title: The relationship between adult attachment and co-parenting and parent-child relationship in Chinese parents

description: This study uses the Actor-Partner Interdependent Model to explore father’s and mother’s adult attachment related to their own (actor effects) and the partners’ (partner effects) co-parenting and parent-child relationships, respectively. Methods: Participants were from a cross-sectional sample of 1313 Chinese heterosexual married couples (fathers’ mean age = 39.74, SD = 5.61; mothers’ mean age = 37.55, SD = 5.04) whose biological children were pupils (mean age = 10.17, SD = 4.26). Results: Results revealed that: (a) within co-parenting, couple members’ actor effects from adult attachment avoidance to positive and negative co-parenting were found both significant, and the actor effects from adult attachment anxiety to negative co-parenting was found significant, whereas the partner effects was significant only from attachment avoidance to positive co-parenting; (b) within parent-child relationships, couple members’ actor effects from adult attachment avoidance to parent-child closeness and conflict were found both significant, and the actor effects from adult attachment anxiety to parent-child conflict was found significant, whereas the partner effects was significant only from attachment anxiety to parent-child conflict. Conclusions: The results support the theoretical view that there may be antagonism between parents’ adult attachment behavioral system and caregiving behavioral system, and highlights the negative effects of parents’ adult attachment avoidance and anxiety on their partners’ parenting function.
DOI: 10.17632/vprydgd9rb.1
title: Data for: Influence of Alkali-Surfactant-Polymer Flooding on the Coalescence and Sedimentation of Oil/Water Emulsion in Gravity Separation

description: Experimental results of oil/water separation in the presence of ASP
DOI: 10.17632/x8xr9mwcbh.1
title: Data for: RADARSAT-2 DInSAR and GNSS-derived finite fault model of the 2012 Mw 7.8 Haida Gwaii earthquake.

description: These RADARSAT-2 interferograms were used in the manuscript: 
Samsonov, S., and Jiang, Y., 2024. RADARSAT-2 DInSAR and GNSS-derived finite fault model of the 2012 Mw 7.8 Haida Gwaii earthquake. Canadian Journal of Remote Sensing, https://doi.org/10.1080/07038992.2024.2424768.
DOI: 10.17632/b8n45m2pzh.1
title: Tectonic anatomy reveals the Chinese Altai-Kuerti-Dulate arc amalgamation in the southern Altaids

description: supporting information for manuscript "Tectonic anatomy reveals the Chinese Altai-Kuerti-Dulate arc amalgamation in the southern Altaids"
DOI: 10.17632/nwp9z4wwf6.1
title: Data for: PRELIMINARY FINDINGS ON THE ROLE OF HIGH-FREQUENCY (5Hz) rTMS STIMULATION ON M1 AND Pre-SMA REGIONS IN PARKINSON'S DISEASE
DOI: 10.17632/sjrfcm62vt.1
title: Organised Crime, Violence and Support for the State

description: Replication files for the article "Organised Crime, Violence and Support for the State".
DOI: 10.17632/5cv85nrmnm.1
title: PISA 2015

description: This data is Programme for International Student Assessment (PISA) 2015 dataset. It includes cognitive items dataset, student questionnaire data file and school questionnaire data file. They are also public available online: http://www.oecd.org/pisa/data/2015database/. It also includes data file to recover the item order in each student's test.
DOI: 10.15468/dl.9mjh38
title: Occurrence Download

description: A dataset containing 697 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pseudobombax ellipticum (Kunth) Dugand",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 697 records from 77 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009357-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/wtd3c8dpkz.1
title: Heyfield Residential Load Profiles: Derived Dataset, 2021-2022

description: This dataset presents typical load and sub-load profiles for a residential community in Heyfield, a rural town in Victoria, Australia. The dataset provides seasonal-mean daily (24-hour) load profiles for residential customers in Heyfield, derived from 107 Wattwatchers devices installed in 96 houses. The dataset includes information on energy consumption from 1 July 2021 to 30 June 2022 with hourly resolution. The typical residential profiles are derived for various categories based on household demographics and electrical asset ownership, including household size, rooftop solar PV, type of hot water system,  type of space heating system, and the tariff connected to (day-rate vs controlled).
DOI: 10.17632/3t9vbwxgr5.2
title: Music Dataset: Lyrics and Metadata from 1950 to 2019

description: This dataset provides a list of lyrics from 1950 to 2019 describing music metadata as sadness, danceability, loudness, acousticness, etc. We also provide some informations as lyrics which can be used to natural language processing. The audio data was scraped using Echo Nest® API integrated engine with spotipy Python’s package. The spotipy API permits the user to search for specific genres, artists,songs, release date, etc. To obtain the lyrics we used the Lyrics Genius® API as baseURL for requesting data based on the song title and artist name.
DOI: 10.17632/h4xmx6d436.1
title: Environmental Management Accounting (EMA)

description: Systematic Literature Review of Environmental Management Accounting
DOI: 10.17632/g6455cpd93.2
title: Supplement for Tapinarof Cream 1% Once Daily: Significant Efficacy in the Treatment of Moderate to Severe Atopic Dermatitis in Adults and Children Down to 2 Years of Age in the Pivotal Phase 3 ADORING Trials

description: Supplemental materials for the article entitled, "Tapinarof Cream 1% Once Daily: Significant Efficacy in the Treatment of Moderate to Severe Atopic Dermatitis in Adults and Children Down to 2 Years of Age in the Pivotal Phase 3 ADORING Trials.” Includes Supplemental Figures 1-4.
DOI: 10.17632/4t8vs4dr4v.1
title: Visual Lip Reading Dataset in Turkish

description: This dataset consists of words and phrases commonly used in Turkish, “merhaba” (hello), “selam” (hi), “başla” (start), “bitir” (finish), “günaydın” (good morning), “teşekkür ederim” (thank you), “hoş geldiniz” (welcome), “görüşmek üzere” (see you), “özür dilerim” (sorry) and “afiyet olsun” (enjoy your meal). The dataset contains a total of 2335 instances from different resources like Turkish series, movies, songs, and vlogs. Care was taken to ensure that the word groups were evenly distributed in the dataset. 

The collected full dataset contains 225 samples for the word "basla", 244 for "bitir", 268 for "merhaba", 232 for "gunaydin", 235 for "selam", 226 for "hosgeldiniz", 209 for "ozurdilerim", 224 for "gorusmekuzere", 235 for "afiyetolsun" and 237 for "tesekkurederim".

The sample dataset directory contains one instance for each class.
DOI: 10.17632/x6ny7rzzgj.1
title: Data for: Energy efficient technology adoption in low-income households in the European Union - What is the evidence?

description: These files included the data set and the Stata program file to reproduce the findings reported in the manuscript
DOI: 10.17632/3ynhndrycc.1
title: The Political Economy of Currency Unions

description: # Replication Package for "The Political Economy of Currency Unions"

## Author
Kai Arvai


## Requirements
- Software: Matlab R2021A
- Toolboxes: Econometrics Toolbox, Optimization Toolbox, Global Optimization Toolbox 
- run on Windows 10
- Computation time: Around 48h

## Instructions
1. **Setup**: Ensure all required software is installed.
2. **Run the main script**:
 - Run `Main.m` to generate all tables and figures. This can take multiple hours.

## Folder Structure
- Figures_Tables contains all generated figures and tables
- Functions contains all functions used bu the main file
- Input_data contains the GDP data used to construct empirical moments
- Output_data contains the data generated by the matlab file
- Codes contains individual matlab files that create the main graphs and data

## Codes 
- GDP_Correlation reads in the GDP data and creates the empirical moments and Figure B1 in the Appendix [this takes a few seconds]
- Estim_Markov generates Table 1 and the parameters used to simulate the shock process. It saves Model_Markov, a seed is set as a default, the folder Output_data already contains a Model_Markov_09072023 as a default. [this takes a few minutes] 
- Model_Simulation generates Table 2 and Figure 1 and Figure B2, B3. [this can take several hours]
- Model_Simulation_asym generates Figure 4 and Figure B4. [this can take several hours]
- Sust_Frontier_2Country generates Figure 2, and Figure 3b 3c and 3d [this can take several hours]
- Three_Estim_Markov generates the parameters to simulate the shock process for the three country extension and gives the numbers in Appendix B.6. [this takes a few minutes]
- Sust_Frontier_3Country generates the sustainability frontiers in Figure 3a [this can take one hour]
- Duration creates Figure B5 [this takes by far the longest]
- Duration_monoton creates Figure B6 [this can take several hours]



## Contact
For any questions, please contact: kai.arvai@banque-france.fr
DOI: 10.17632/d8nm9pgy23.2
title: Information Dissemination and ESG Rating Divergence

description: data for Values Firsthand Experience Over Hearsay —Information Dissemination and ESG Rating Divergence
DOI: 10.17632/gz27292364.1
title: COVID-19 school opening and closure press releases: Victoria and NSW

description: All press releases with reference to school closures and openings during the COVID-19 pandemic released by the Victorian Premier and NSW government.
DOI: 10.17632/nddmgkm3cc.1
title: A new method for analyzing sustainability performance of global supply chains and its application to material resources

description: OVERALL DESCRIPTION: We share here the data compiled to calculate the results presented in the study «A new method for analyzing sustainability performance of global supply chains and its application to material resources». In order to allow for the compilation of all results of interest, we provide a matlab tool. The tool is based on the multi-regional-input output database EXIOBASE3 (version 3.4) and data to assess the potential environmental impacts of emissions and resource use. While the data for assessing the environmental impacts is provided here, the user must download the Exiobase data from the Exiobase website (due to copyright issues). The provided matlab tool allows to assess the cumulated upstream impacts of any sector or region on the globe without double-counting and to track these impacts upstream and downstream the global value chain. The tool covers a broad set of environmental and socio-economic indicators and the timespan from 1995 to 2011. The methodology of this tool is comprehensively explained in the study: «A new method for analyzing sustainability performance of global supply chains and its application to material resources» (e.g Section 2.1 gives a broad overview of the principle of the method). Link to the study: https://doi.org/10.1016/j.scitotenv.2019.04.434 HOW TO USE THE TOOL: 1. Download matlab A test software for free can be downloaded here: https://ch.mathworks.com/de/campaigns/products/trials.html 2. Download the folder "Matlab Tool" attached below. 3. Download the EXIOBASE3.4-IOT-ixi data folder for all years of interest from the Exiobase website (due to copyright issues). Note that the ixi tables (referring to industrial sectors) and not the pxp tables (referring to products) must be downloaded. Linkt to the Exiobase website: https://www.exiobase.eu/index.php/data-download/exiobase3mon Store the downloaded Exiobase data folders in the Folder: Matlab Tool/Input_Data/ e.g.: Matlab Tool/Input_Data/IOT_2011_ixi 4. In the folder "Matlab Tool" open the matlab app called “Sustainability_Performance_Analysis.mlapp”. This will also open matlab which will run in the background. Take your settings from the provided listboxes (select the target sectors, target regions, indicators, timespan and how you want to display your results). Label your folder and press the calculation button. You will be informed when your results are ready. The results will be stored as text files (which can be opened as excel files) in your created folder. Note that the entire code is provided in the matlab function “Main_Function_Tool.m” (and may also be translated to R or Python).
DOI: 10.17632/ppfvc65m2v.4
title: A Python Code for Statistical Mirroring

description: Statistical mirroring is the measure of the proximity or deviation of transformed data points from a specified location estimate within a given distribution [2]. Within the framework of Kabirian-based optinalysis [1], statistical mirroring is conceptualized as the isoreflectivity of the transformed data points to a defined statistical mirror. This statistical mirror is an amplified location estimate of the distribution, achieved through a specified size or length. The location estimate may include parameters such as the mean, median, mode, maximum, minimum, or reference value [2]. 
The process of statistical mirroring comprises two distinct phases: 
a) Preprocessing phase [2]: This involves applying preprocessing transformations, such as compulsory theoretical ordering, with or without centering the data. It also encompasses tasks like statistical mirror design and optimizations within the established optinalytic construction. These optimizations include selecting an efficient pairing style, central normalization, and establishing an isoreflective pair between the preprocessed data and its designed statistical mirror. 
b) Optinalytic model calculation phase [1]: This phase is focused on computing estimates based on Kabirian-based isomorphic optinalysis models.

References:
[1] K.B. Abdullahi, Kabirian-based optinalysis: A conceptually grounded framework for symmetry/asymmetry, similarity/dissimilarity, and identity/unidentity estimations in mathematical structures and biological sequences, MethodsX 11 (2023) 102400. https://doi.org/10.1016/j.mex.2023.102400 
[2] K.B. Abdullahi, Statistical mirroring: A robust method for statistical dispersion estimation, MethodsX 12 (2024) 102682. https://doi.org/10.1016/j.mex.2024.102682
DOI: 10.17632/n92996yz3m.1
title: Data for: Spectrum Sensing with a Parallel Algorithm for Cyclostationary Feature Extraction

description: Cyclostationary feature detection is one of the most common methods used in spectrum sensing. The parallel algorithm presented here can be used in multi-core processors to speedup the execution time. The implementation uses OpenMP and the Fastest Fourier Transform in the West (a efficient Fourier transform method).
DOI: 10.17632/hcpwt4vj4w.2
title: Data for: Evaluation of stack ventilation in a large space using zonal simulation and a reduced-scale model experiment with 2D-PIV

description: Indoor airflow and temperature patterns in the naturally ventilated large space obtained by PIV measurement and zonal simulation
DOI: 10.17632/hn2wfkbxby.1
title: Data to support scoping review on: Personalized adaptive learning in higher education - key characteristics and impact on academic performance and engagement.

description: This data set supports the manuscript: "Personalized adaptive learning in higher education: a scoping review of key characteristics and impact on academic performance and engagement."
DOI: 10.17632/nr6y34yg29.1
title: MuMuPy: A dimuonium-matter interaction calculator

description: In this article, we present MuMuPy, a computational library and cloud-based tool for calculating cross sections for the interaction of dimuonium (true muonium) with matter. MuMuPy calculates corresponding form factors and allows one to find the probabilities of dimuonium transitions in the electric field of the nucleus.

MuMuPy was developed in the context of the μμ-tron facility, the project of a low-energy electron-positron collider for production and experimental study of dimuonium, proposed in our home institute, Budker Institute of Nuclear Physics.

The reliability of MuMuPy was verified by three independent methods, one of which was developed by the authors earlier.
DOI: 10.17632/rwwfg3r5yc.3
title: Analysis on a database of ship accidents in port areas [Dataset]

description: Results of an analysis on a database of vessel accidents in port areas are here collected. The data were gathered within the framework of the project ISY PORT (Integrated SYstem for navigation risk mitigation in PORTs). The analysis includes distribution of accidents in port areas categorized by age of the ship at the time of the accident, ship’s category, causality event, weather conditions and number of fatalities/injured/lost at sea.

PLEASE REFERENCE:
Marino, M., Cavallaro, L., Castro, E., Musumeci, R. E., Martignoni, M., Roman, F., Foti, E. (2023), "New frontiers in the risk assessment of ship collision", Ocean Engineering, Elsevier.
DOI: 10.17632/bg2fcctfms.1
title: A large molecular complex of ITGβ1-CircPABPC1-PSMA4 suppresses tumor adhesion and metastasis via an ubiquitination-independent proteasomal degradation pathway in hepatocellular carcinoma

description: MS profile
DOI: 10.17632/9b89h6tx7n.1
title: Data for: Avoidance behaviour of Enchytraeus albidus (Oligochaeta) after exposure to AgNPs and AgNO3 at constant and fluctuating temperature

description: Avoidance and Ag accumulation data after exposure of Enchytraeus albidus to silver nanoparticles and silver nitrate
DOI: 10.17632/rbndbf39mx.2
title: Population-based mortality in Hidradenitis Suppurativa

description: To systematically quantify the magnitude of mortality risk in patients with Hidradenitis Suppurativa (HS) and identify characteristics associated with mortality among patients with HS, a PRISMA flow diagram, Funnel plot, Forest plot and two tables were created as supplemental figures to be auxiliary to our systematic review and meta-analysis.
DOI: 10.17632/b3w2dxj3tr.1
title: Natural Variation in an HD-ZIP Factor and Its Complex Regulation in Modulating Apple Leaf Cuticular Wax Deposition

description: Data S1: All original blots, related to Figures 4-6, Figures S2 & S7.
DOI: 10.17632/kk2tjv46f6.2
title: Prevalence of Postpartum depression at subnational level in India: Data extracted from 62 studies between 2015-23

description: Postpartum depression (PPD) is a significant mental health issue impacting mothers globally, with profound implications for both maternal and infant well-being. Characterized by major depressive symptoms that can onset from delivery up to a year postpartum, PPD affects mothers' quality of life, physical and psychological health, social relationships, and maternal-infant interactions. While the global prevalence of PPD is estimated at 17.4%, higher rates are observed in low- and middle-income countries (LMICs), with India's prevalence ranging between 18.8% and 22%. Socioeconomic disadvantages, lack of partner support, and other stressors contribute to these rates. India's diverse regional and cultural landscape likely leads to significant subnational variations in PPD prevalence. Addressing these disparities through targeted health services and resource allocation is crucial for mitigating the mental health challenges faced by mothers in India.

In this backdrop, we aimed to estimate the prevalence of PPD in India at national and sub-national levels and to assess the factors associated with variations in the prevalence rate of PPD across studies. We performed a systematic literature search in PubMed, Scopus, and EMBASE, including studies published between 2015 and 2023. The review analysed 62 studies involving 21,262 women.

Data Collection and Extraction:
Data were extracted and tabulated by two reviewers (APV and KPJ). The study characteristics recorded included:
- Author's name
- Publication year
- Study design
- Study location
- Study setting (e.g., hospital, community)
- Study area (e.g., urban, rural)
- Study population characteristics (e.g., age, socioeconomic status)
- Study period (the year of data collection/analysis)
- Assessment tool used for PPD (e.g., Edinburgh Postnatal Depression Scale)
- Sample size
- Number of participants with PPD
The extracted data were organised in a Microsoft Excel spreadsheet to facilitate analysis.

Code description: 
State: AP: Andhra Pradesh BR: Bihar CH: Chandigarh DL: Delhi GJ: Gujarat HP: Himachal Pradesh HR: Haryana KA: Karnataka MH: Maharashtra MP: Madhya Pradesh OR: Odisha PB: Punjab PY: Puducherry TL: Telangana TN: Tamil Nadu UP: Utthar Pradesh WB: West Bengal
Region: 0: North 1: East 2: West 3: South 4: Central
Setting: 0: Facility-based 1: Community-based 2: Both
Area: 0: Rural 1: Urban 2: Both
Time of assessment: 0: Not within 6 weeks of postpartum 1: within 6 weeks of postpartum 2: Both
Period: 0: Pre-COVID 1: Post-COVID
Assessment tool: EPDS: Edinburgh Postnatal Depression Scale PHQ: Patient Health Questionnaire HAM-D: Hamilton Rating scale for Depression MINI: Mini International Neuropsychiatric Inventory
Mode of administration: 0: Self-reported 1: Interviewer administered
DOI: 10.17632/fpvgzpddng.1
title: The Death of a Regulator: Strict Supervision, Bank Lending, and Business Activity

description: We include with this replication package all public datasets used in our analysis. We cannot share some commercial data, e.g., from BoardEx, used in the analysis. Thus, no private data files are included in the replication package. We still share the code that runs the analyses using these data and will make the private data files available for researchers who have permissions to work with them.
DOI: 10.17632/ksnzgjt7fc.1
title: Sarajevo Stock Exchange daily BIFX index closing price values

description: For this research data is collected from The Sarajevo Stock Exchange website for the Bosnian Investment Fund Index – BIFX. The collected dataset is about daily BIFX index closing price values for the period from 28.04.2003 to 27.02.2023.
DOI: 10.17632/wprcdgmp7x.1
title: Data for: Gravity model toolbox: an automated and open-source ArcGIS tool to build and prioritize the corridors of urban green space for biodiversity conservation

description: The Gravity model toolbox, a programmed ArcGIS tool to map and prioritize the potential corridors of urban green space.
DOI: 10.17632/5tc6v6zkzf.1
title: A Decision Model for Programming LanguageEcosystem Selection: Seven Industry Case Studies

description: Software development is a continuous decision-making process that mainly relies on the software engineer's experience and intuition. One of the essential decisions in the early stages of the process is selecting the best fitting programming language based on the project requirements. A significant number of criteria, such as developer availability and consistent documentation, besides potential programming languages in the market, lead to a challenging decision-making process. A decision model is required to analyze the selection problem using systematic identification and evaluation of potential alternatives for a development project. Method: Recently, we introduced a framework to build decision models for technology selection problems in software production. Furthermore, we designed and implemented a decision support system that uses such decision models to support software engineers with their decision-making problems. This study presents a decision model based on the framework for the programming language selection problem. Results: The decision model has been evaluated through seven real-world case studies at seven software development companies. The case study participants declared that the approach provides significantly more insight into the programming language selection process and decreases the decision-making process's time and cost. Conclusion: With the knowledge available through the decision model, software engineers can more rapidly evaluate programming languages. Having this knowledge readily available supports software engineers in making more efficient and effective decisions that meet their requirements and priorities.