cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/nn7y52nt46
title: Government debt and stock bubbles in China

description: This project provides the code for the paper titled "Government Debt and Stock Bubbles in China," which analyzes the relationship between government debt and stock bubbles using an empirical model and dynamic stochastic general equilibrium (DSGE) models. The code is divided into two sections: Empirical Model and DSGE Model.
The Empirical Model folder includes data and scripts for empirical analysis using a Vector Autoregression (VAR) model. Key datasets, such as stock bubble measurements and government debt data, are used to generate the main empirical results. The VAR.m script produces figures and table, including Figure 2, Appendix Figures A1–A4, and Appendix Table A1. 
The DSGE Model folder contains several DSGE models that explore the relationship between government debt and stock bubbles under various conditions. Different .mod files represent different model specifications. These models generate the impulse response results presented in Figures 3–12, along with additional appendix figures.
The results of this paper were obtained using MATLAB R2021a and Dynare 4.6.1.
DOI: 10.17632/p3mkxnk9yp
title: Efficiency of clinical exome sequencing in the diagnosis of pediatric genodermatoses: A prospective cohort study

description: Library preparation, DNA sequencing, variant interpretation and statistical analysis are detailed in supplementary material. 

Supplemental figures
Figure S1: Schematic representation of the study design

Supplemental Tables : 
Table S1: Patient inclusion and exclusion criteria
Table S2: Variants never reported in literature
Table S3: Phenotype and CES results of the cohort
Table S4: Incidental findings
Table S5: Somatic mutations
Table S6: Designs clinical exome
DOI: 10.17632/48ngxh788s
title: Excel Calculations & Tabular Data for the article titled "Measuring Customer Lifetime Value: Application of Analytic Hierarchy Process in determining Relative Weights of ‘LRFM’"

description: Excel calculations & tabular data for the article titled "Measuring Customer Lifetime Value: Application of Analytic Hierarchy Process in determining Relative Weights of ‘LRFM’"
DOI: 10.17632/7jkcb4mn9z
title: Expression analysis of Pleurotus pulmonarius LBM 105 during PCBs degradation

description: These files represent an early stage of the expression analysis of the white rot fungi Pleurotus pulmonarius LBM 105 during PCBs degradation in liquid culture. We have already proven that this fungal strain is capable of achiving high percentages of PCBs removal in nitrogen-limited liquid media (doi: doi.org/10.1016/j.chemosphere.2020.129093). The data we present here was obtained by mapping the RNA reads of the strain LBM 105 obtained from two different conditions (a PCBs-containing condition and a control one) against the GCA_2979565.1 genome. For the mapping and the read count regarding each gene we used the Geneious software V 8.0.
DOI: 10.17632/p9hwfmfcz5
title: The data of HEXACO personality traits and job search outcomes

description: This data explores the relationship between HEXACO personality traits and job search outcomes through network size, tie strength, and job search networking behavior. The data was collected from three universities in North Vietnam. At Time 1, 850 of 982 respondents participated in the questionnaire; at Time 2, 773 of these students responded to the second questionnaire. As a result, we obtained 773 complete responses, a response rate of 91%. The mean age of participants was 23.22 years (SD = 0.523). There was only 3.6% of married respondents. The percentage of respondents in study areas consisted of 28% of engineering, 26% of accounting, 23% of business administration, 18% of finance, and 5% of other areas
DOI: 10.17632/d69pzg3syh
title: GSK3B inactive conformation PDB files

description: Glycogen synthase kinase-3β (GSK3β) controls many physiological pathways, and is implicated in many diseases including Alzheimer’s and several cancers. GSK3β-mediated phosphorylation of target residues in microtubule-associated protein tau (MAPTAU) contributes to MAPTAU hyperphosphorylation and subsequent formation of neurofibrillary tangles. Inhibitors of GSK3β protect against Alzheimer’s disease and are therapeutic for several cancers. A thiadiazolidinone drug, TDZD-8, is a non-ATP-competitive inhibitor targeting GSK3β with demonstrated efficacy against multiple diseases. However, no experimental data or models define the binding mode of TDZD-8 with GSK3β, which chiefly reflects our lack of an established inactive conformation for this protein. Here, we used metadynamic simulation to predict the three-dimensional structure of the inactive conformation of GSK3β. Our model predicts that phosphorylation of GSK3β Serine9 would hasten the DFG-flip to an inactive state. Molecular docking and simulation predict the TDZD-8 binding mode to be inactive, and are consistent with biochemical evidence for the TDZD-8–interacting residues of GSK3β. We also identified the pharmacophore and assessed binding efficacy of second-generation TDZD analogs (TDZD-10 and Tideglusib) that bind GSK3β as non-ATP-competitive inhibitors. Based on these results, the predicted inactive conformation of GSK3β can facilitate the identification of novel GSK3β inhibitors of high potency and specificity. Metadynamics simulated theoretical models of DFG-out (inactive) conformation of GSK3B as well as its TDZD-8 bound form can be downloaded here.
DOI: 10.17632/r7cvg6crb3
title: Data for the two-dimensional knapsack problem with splittable items and stability issues

description: Data set for the two-dimensional knapsack problem with splittable items and stability issues, and programs to produce it and read instance files.
DOI: 10.17632/37f4pnb36w
title: Data for: Estimation of Lorenz curves based on dummy variable regression

description: Data for: Estimation of Lorenz curves based on dummy variable regression
DOI: 10.17632/cj4hc9f2g4
title: Prediction of narrow HT-SMA thermal hysteresis using machine learning: A data file

description: These data are reported in a research article entitled “Prediction of narrow HT-SMA thermal hysteresis behaviour using explainable machine learning” [1]. Reference: [1] Ronald Machaka, Precious M. Radingoana, Prediction of narrow HT-SMA thermal hysteresis behaviour using explainable machine learning, Mater. Today Commun. 35 (2023) 105806. https://doi.org/10.1016/j.mtcomm.2023.105
DOI: 10.17632/rmfwhd474j
title: Distant metastases in 482 patients undergoing radical surgery during follow-up

description: The distant metastases in of 482 patients witn acral melanoma who underwent radical surgery during the follow-up period
DOI: 10.17632/c3792mm5f6
title: Generative Adversial Network (GAN) Synthesized Dataset on Harmful Algal Bloom (HAB)

description: This attribute set forms a robust framework for detecting Harmful Algal Blooms (HABs), combining key indicators like Bloom_Index, chlorophyll levels, and sea surface temperature anomalies. The parameters cover a range of biogeochemical factors crucial for HAB formation and impact assessment, including nutrient levels (Total_Nitrogen, Total_Phosphorus) and water quality metrics (Dissolved_Oxygen, pH).
The system's primary use is in HAB detection and monitoring in coastal waters. However, it has versatile applications:
1. Fisheries Management: Helps predict potential fish kill events by tracking Dissolved_Oxygen levels and Bloom_Index, allowing for timely interventions.
2. Climate Change Research: The Rolling_SST_Anomaly and long-term pH trends can contribute to studies on ocean warming and acidification impacts on marine ecosystems.
The model's training using Generative Adversarial Networks (GANs) is a significant innovation. GANs synthesize realistic datasets, addressing the challenge of limited real-world HAB data. This approach:
• Expands the training dataset with diverse, simulated HAB scenarios
• Improves the model's ability to detect rare or extreme events
• Enhances overall prediction accuracy by exposing the model to a wider range of potential HAB conditions
By combining real observations with GAN-generated data, the model achieves better generalization and robustness in HAB detection across varied marine environments.
DOI: 10.17632/n55f7xfx79
title: MLL-AF9 degradation induces rapid changes in transcriptional elongation and subsequent loss of an active chromatin landscape

description: Western blots and microscopy files associated with the manuscript by Olsen et al., "MLL-AF9 degradation induces rapid changes in transcriptional elongation and subsequent loss of an active chromatin landscape." The edited/annotated images can be found in the manuscript, the relevant Figure in the manuscript is indicated in the title of the image. All other relevant information is also included in the title of each file.
DOI: 10.17632/nmtdh8svb2
title: Data for: Predicting the effects of restoring linear features on woodland caribou populations
DOI: 10.17632/cxkbdkrp6y
title: Official discovery of the legendary island of Atlantis

description: This dataset contains a comprehensive collection of academic papers authored by Dr. Luigi Usai, documenting the official discovery of Atlantis. Dr. Usai's groundbreaking work redefines the understanding of the lost civilization of Atlantis, which he identifies as the Sardinian-Corsican geological block. These papers, meticulously translated into multiple languages, offer a paradigm shift in historical, archaeological, and linguistic research.
Key Features: Multilingual Collection: The dataset includes papers in several languages, including English, Italian, French, Spanish, German, and others, to facilitate global accessibility.
Scientific Paradigm Shift: The papers propose that the ancient Nuragic civilization of Sardinia and Corsica was a key element in the Atlantis myth, supported by geological, linguistic, and historical evidence. This discovery is presented as a transformative model for interpreting ancient Mediterranean civilizations.
Extensive Research: The dataset spans a wide range of topics, archaeological evidence, linguistic parallels, and religious connections between the Nuragic civilization and other ancient peoples, including the Hebrews and Egyptians.
Detailed Theoretical Framework: Dr. Usai's papers explore in-depth the connections between ancient texts (such as Plato’s "Timaeus" and "Critias"), geographical toponymy, and the linguistic evolution of Indo-European languages from an Atlantean root. The work also delves into the Out of Atlantis Theory, which suggests the spread of culture and language from the Sardinian-Corsican block across Europe.

Collaboration and Peer Review: These papers, while originally developed independently, have been shared across various open-access platforms such as Zenodo, Figshare, HAL, and others, to invite academic collaboration and critical peer review.

Historical Cartography and Atlantean Geography: The work reinterprets ancient maps and historical sources to localize Atlantis in the Sardinian-Corsican block, providing compelling cartographic evidence of the submerged parts of this once-thriving civilization.
Cultural and Religious Parallels: The dataset also discusses parallels between Atlantis, the Garden of the Hesperides, and other Mediterranean mythologies, providing a cultural-historical context for this discovery. 
Dataset Contents:
Papers in Multiple Languages: Complete translations of key research papers.
Supplementary Materials: Maps, diagrams, and visual evidence supporting the discovery.
DOI Links for Citation: Each paper is provided with a DOI for citation and academic use.
Research Applications: This dataset is a crucial resource for researchers in fields such as

Archaeology
Linguistics
Historical Geography
Mediterranean Studies
Religious Studies
Mythology
By making these papers accessible in multiple languages, Dr. Usai invites global collaboration and seeks to expand the academic conversation around the lost civilization of Atlantis and its enduring influence on ancient history
DOI: 10.6084/m9.figshare.14412572.v1
title: Maize-RGB&CT&HSI-data

description: Background : Drought threatens the food supply of the world population. Dissecting the dynamic responses to drought and revealing their genetic architectures will be beneficial for breeding drought-tolerant crops. However, the dynamic responses of plant to drought, both external and internal, and the genetic controls of these responses remain largely unknown. Results : Here we developed a high-throughput multiple optical phenotyping system to non-invasively phenotype 368 maize genotypes with or without drought stress over a course of 98 days, and collected ~14 terabytes of multiple optical images, including color (red, green, blue) camera scanning (RGB), hyperspectral imaging (HSI) and x-ray computed tomography (CT) images. High-throughput analysis pipelines were developed to extract 26,910 the image-based traits (i-traits). Of these i-traits, 10,080 were effective and heritable indicators of maize external (RGB i-traits) and internal (HSI and CT i-traits) drought responses and selected for further genetic study. A total of 4,322 significant locus-trait associations were identified via i-trait-based genome wide association study (GWAS), which represent 1,529 quantitative trait loci (QTLs) and 2,318 candidate genes. Of these QTLs, 1,092 (71.4%) co-localized with previously reported maize drought responsive QTLs. Expression QTL (eQTL) analysis uncovered many local and distant regulatory variants that control the exp ression of the candidate genes. Thirty-four hotspot genes associated with multiple i-traits were identified. We further used genetic mutation analysis to validate two new genes, ZmcPGM2 and ZmFAB1A that regulated i-traits and drought tolerance. Moreover, the value of the candidate genes as drought-tolerant genetic markers was revealed by genome selection analysis, and 15 i-traits were identified as potential markers for maize drought tolerance breeding. Conclusion : Our study demonstrates that combining high-throughput multiple optical phenotyping and GWAS is a novel and effective approach to dissect the genetic architecture of complex traits and clone drought-tolerance associated genes.
DOI: 10.17632/28j2dykf24
title: Data for: Does a Small Difference Make a Difference? Impact of Feed-in Tariff on Renewable Power Generation in China

description: Stata do files and data for: Does a Small Difference Make a Difference? Impact of Feed-in Tariff on Renewable Power Generation in China
DOI: 10.17632/gp4n7xwwsw
title: Spatiotemporal Dynamics and Driving Mechanisms of Water Erosion in the Shiyang River Basin, Northwest China (2001–2020)

description: This dataset was developed to investigate the spatiotemporal patterns and driving factors of water erosion in the Shiyang River Basin from 2001 to 2020. Water erosion intensity in this region is influenced not only by natural factors such as precipitation and topography, but also significantly by land use change and vegetation dynamics. Moreover, these driving factors may interact to amplify erosion risks. The dataset includes the following components:
(1)Simulated Water Erosion Data:
Annual raster layers of potential soil erosion, transport capacity, and net water erosion rate, generated using an integrated RUSLE and TLSD model. These data capture both the potential for soil detachment and the actual sediment transport across the basin landscape. In addition, multi-year spatial trend data and inter-annual change maps are provided to illustrate erosion dynamics over time.
(2)Erosion Classification and Transition Data:
Net water erosion intensity was categorized into seven classes. The spatial variation in erosion severity and the area transition matrix across different years were compiled to assess temporal changes and spatial dynamics in erosion patterns.
(3)Driving Factor Analysis (Random Forest):
Output from the Random Forest model quantifies the relative importance of various natural and anthropogenic drivers of erosion. Summary tables and maps illustrate erosion responses under different environmental gradients, including topography, LUCC, and NDVI.
(4)Supplementary Data:
Raster datasets for all RUSLE input factors (rainfall erosivity, soil erodibility, slope and slope length, cover management, and support practice), NDVI, topsoil texture, and LUCC data are included. The dataset also provides statistics on net soil erosion rate, sediment deposition, and NDVI values across different slope classes and under various land use change scenarios.
Data Collection and Processing:
Climate and topographic data were obtained from national and international geospatial databases. Slope and slope length were derived from DEM data, and rainfall data were used to calculate rainfall erosivity. NDVI and land use/land cover (LUCC) data were extracted from MODIS and Landsat imagery and reclassified based on regional characteristics.
Soil erosion was simulated using a calibrated RUSLE-TLSD model. Model inputs include rainfall erosivity, soil erodibility, topographic factors, vegetation cover, and land management practices. Sediment yield observations were used for model validation.
Random forest analysis was conducted in R using the “randomForest” and “rfPermute” packages. The model was trained with 500 trees to evaluate the importance of environmental variables in driving net water erosion.
 All raster datasets were resampled to a uniform 90 m resolution for spatial analysis.
DOI: 10.17632/n2vs8spdhz
title: Designs used in published therapeutic studies of rare superficial vascular anomalies: A systematic literature search

description: DATASET:
Dataset.csv : CSV format
DOI: 10.6084/m9.figshare.29120060.v1
title: Strengthening a Culture of Philanthropy: The case for cultivating communities, connection and shared purpose to drive mission impact

description: In 2025, the non-profit landscape is rapidly evolving with industry leaders sounding alarm bells for the future of philanthropy in Canada. <b>The number of donors across the sector is shrinking</b>, volunteer support is critically low, and organizations unable to diversify their revenue streams face dire consequences to their ability to deliver impact.<b>The cause, says the research, is disconnection from community.</b> Canadians who feel disconnected to each other, unattached to community, and lonely are at an all-time high. A 2024 CanadaHelps report states that from 2013 to 2022, <b>there was a 40% drop in the number of Canadians who reported having six or more close friends.</b> That disconnection is making a tangible impact on charities – from giving, to a lack of volunteers, to a workforce facing incredible pressure.It’s the reason that Global Philanthropic Canada has delved deeply into investigating the path forward for Canadian non-profit organizations. Through research, surveys and in-depth interviews with fundraisers and volunteers across the country, Global explores the critical importance of building a community within our organizations and offers practical insights for nurturing a culture that meaningfully engages stakeholders, ultimately supporting your philanthropic growth.Data for this report was collected between October and December 2024 through a combination of fieldwork surveys with fundraising organizations, desktop research and in-depth interviews with philanthropic volunteers across multiple sectors throughout Canada. We contacted all sizes and sectors of philanthropic organizations - from education, health care, arts and culture-focused, environmental, international development, social services, gender advocacy and protection, technology and innovation, recreation, scientific, political and faith-based organizations.
DOI: 10.17632/jyc2prd94f
title: Dataset - Mapping Party: mapping health assets in a socioeconomically deprived neighborhood in Barcelona.

description: TITLE - Mapping Party: mapping health assets in a socioeconomically deprived neighborhood in Barcelona.
ABSTRACT
Objective: To describe the development and results of a mapping party in a socioeconomically deprived neighborhood in Barcelona.
Method: A descriptive study on a mapping party, a community-based technique used to create health asset maps. On a key day, the population was surveyed using an online form and a physical map to identify neighborhood health assets. The main variable was health assets, while secondary variables included sociodemographic characteristics, participation in organizations, and factors generating well-being and discomfort in the neighborhood. Quantitative data analysis was performed using counts and percentages, and qualitative data through expressed opinions.
Results: A total of 119 people participated, identifying 47 different health assets. The category with the most identified assets was sports and leisure, consistent across the entire sample (37.1%) and when analyzed by gender (women 28%, men 39%), age (15–34 years 40%, 35–64 years 27%, over 65 years 32%), and Roma ethnicity (39%). The most cited health assets were the La Mina Health Center and the Children’s Community Center (Casal Infantil). Key contributors to well-being included organizations, social networks, parks, and sports facilities, while insecurity, dirtiness, and incivility were identified as sources of discomfort.
Conclusions: The mapping party is a simple and cost-effective technique for identifying health assets perceived by the population, making it highly useful for creating a health asset map.
DOI: 10.6084/m9.figshare.7188245.v2
title: Measured saturated hydraulic conductivity and soil physical properties.xlsx

description: This dataset was used to generate the Fig.2 and Fig.6 in the paper entitled “<b>Effects of r</b><b>ubber-based agroforestry practice on soil infiltrability and water flow behaviours in tropical Xishuangbanna, SW China</b>” which was submitted to WATER RESOURCES RESEARCH for publication.
DOI: 10.17632/2x835nv2nh
title: Drone Imagery Object Detection - YOLO

description: The dataset utilized in this study was meticulously collected using drone video footage captured across seven distinct locations in Lithuania (Eastern Europe), each characterized by varying altitudes, camera angles, and weather conditions to ensure a diverse range of visual perspectives. The videos was taken from three cities. These are Vilnius, Šiauliai and Telšiai. The locations included a variety of road types such as intersections (T and + forms), slip lanes, normal roads, roundabouts, crossroads, parking areas, controlled T-form intersections, and dirt road intersections. Vilnius, being the capital city, presented a more complex traffic structure with multi-lane roads and heavy vehicle density. In contrast, Šiauliai and Telšiai provided a mix of suburban and rural environments with fewer vehicles. This geographical diversity ensures that the dataset captures a wide range of real-world traffic scenarios.

Labels: Car, Bus, Truck, Padestrian
Note: The study is about semi supervised learning. Only labeled data was provided here
DOI: 10.6084/m9.figshare.25346140.v1
title: Data for Transport and localization of indirect excitons in a van der Waals heterostructure paper

description: Data for Transport and localization of indirect excitons in a van der Waals heterostructure paper
DOI: 10.17632/fjv74v2w65
title: Real-World Safety and Clinical Response of Janus Kinase Inhibitor Upadacitinib in the Treatment of Hidradenitis Suppurativa: A Retrospective Cohort Study

description: Real-World Safety and Clinical Response of Janus Kinase Inhibitor Upadacitinib in the Treatment of Hidradenitis Suppurativa: A Retrospective Cohort Study - JAAD 2022
DOI: 10.17632/pcd3586r3b
title: Good Governance and Human Development in Malawi-Dataset 1990-2022.

description: This dataset contains the following variables for Malawi; Political stability, rule of law, government effectiveness, control of corruption, voice and accountability regulatory quality, employment rate and per capita GDP growth rate. all series range from 1990 to 2021. These variables have been used in a study entitled 'Good Governance and Human Development in Malawi - A cointegration approach'.