cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10842712
title: Geo-referenced Harmonized Financial Data on Soil Defense Public Works in Italy

description: The dataset collects financial data about public works in Italy, specifically, it focuses on soil defense investments. The data is sourced from three distinct platforms: the OpenCoesione website, the OpenBDAP database, the Ministry of Economy and Finance's open data platform, and the ReNDiS database, provided by ISPRA, that exclusively gathers information about interventions in soil defense. The data obtained is interconnected using unique project codes (CUP) to prevent duplication.

Georeferencing involves integrating geographic references into the three datasets. It enhances the accuracy of spatial analyses of spatial defense investments and provides valuable context for understanding the geographical distribution of available financial data. By incorporating geographic references such as regions, provinces, and municipalities analysts can gain insights into the spatial patterns and relationships within the datasets. This step is crucial for effective decision-making and policy formulation in the field of soil defense investments.

Geographical references for each project were integrated using codes and names of regions, provinces, and municipalities from the ISPRA database. This database retrieves information directly from ISTAT websites, ensuring constant updates to names and codes, thus enhancing the accuracy of spatial analyses.

Furthermore, geographical codes facilitated the association of centroids coordinates and polygon shapes for each financial observation, enhancing spatial visualization and analysis of soil defense investments, empowering decision-makers with a deeper understanding of the geographic distribution and impact of these initiatives. This comprehensive approach allows for a deeper exploration of the geographical factors influencing soil defense investments, including identifying hotspots of activity, assessing spatial trends, and understanding the localized impact of interventions on environmental sustainability and community resilience.

The zip folder comprises four subfolders and two files. Among the files, one is a text file containing metadata, while the other is a CSV file consolidating merged data at the national level from three repositories. The subfolders contain data categorized by region and data categorized by region sourced from the three distinct repositories.

 Datasets present 28 variables: 



Columns 1-2: descriptive variables;

Column 3: total amount financed for each intervention;

Columns 4-9: geo-reference variables;

Columnn 10:25: key dates of the public works process;

Column 26: source of the data;

Columns 27-28: geo-referencing (centroids and areal shape).
DOI: 10.5281/zenodo.11004723
title: Data for 'Global Assessment of Interannual Hazard Variability in Coastal Urban Areas and Ecosystems'

description: This dataset supports Odériz et al. (2024). 'Global Assessment of Interannual Hazard Variability in Coastal Urban Areas and Ecosystems'
DOI: 10.5281/zenodo.11110249
title: Benchmark data derived from the antibodies for the spike receptor-binding domain of SARS-CoV-2

description: enchmark data described in the publication:

Improved deep learning prediction of antigen-antibody interactions

Reference Authors: Mu Gao and Jeffrey Skolnick, PNAS, 2024

Sequences.zip -- Lists and sequences of antibodies used in the study (Compressed in the zip format)Dataset S1.xlsx -- Results of benchmark test 1 on the PDB36 set (MS Excel format)Dataset S2.xlsx -- Results of benchmark test 2 on ~1000 antibodies (MS Excel format). Dataset S3.xlsx -- Results of benchmark of RBD471 using reduced RBD-binder sequence libraries (MS Excel format).
DOI: 10.6084/m9.figshare.25470379
title: Supplementary Material for: Balloon aortic valvuloplasty with or without percutaneous coronary intervention in the TAVR era

description: Introduction
The role of balloon aortic valvuloplasty (BAV) amid the era of transcatheter aortic valve replacement (TAVR) remains a topic of debate. We sought to study the safety and feasibility of combined balloon aortic valvuloplasty and percutaneous coronary intervention (BAV-PCI). 
Methods
Between November 2009 and July 2020, all patients undergoing BAV were identified and divided into three groups: combined BAV-PCI (group A), BAV with significant unrevascularised CAD (group B) and BAV without significant CAD (group C). Procedural outcomes, 30-day and one-year mortality were compared.
Results
A total of 264 patients were studied (n = 84, 93 and 87 patients in group A, B and C, respectively). The STS score was 10.2 ±8, 13.3 ±19 and 8.1 ±7, p = 0.026, in group A, B and C, respectively. VARC-3 adjudicated complications were similar among groups (11%, 13% and 5%, respectively, p = 0.168, respectively). Thirty-day and one-year mortality were 9.8% (n =26) and 32% (n = 86) of the entire cohort. The differences among groups did not reach statistical significance. 
Using univariate Cox regression analysis, group B were at higher risk of dying compared to group A patients (HR 1.58, 95% CI 1.11 – 2.25, p = 0.010). With multivariate Cox regression analysis, the predictors of mortality were STS score, cardiogenic shock, and mode of presentation and lack of subsequent definitive valve intervention. 
Conclusion
In high-risk patients with aortic valve stenosis, combined BAV-PCI is safe and feasible with comparable outcomes to BAV with and without significant CAD.
DOI: 10.6084/m9.figshare.25680153
title: Supplementary Material for: Colonic tubular adenoma with clear cell change – case report with whole exome sequencing and updated review of the literature

description: Introduction: Colorectal tubular adenomas displaying clear cell change are rare entities, with unknown clinical relevance, prognosis, immunohistochemical, and molecular features. 
Case presentation: Hereby we report a case of a 43-year-old female patient with a rectosigmoid polyp. Histologically, conventional dysplasia was visible with scattered areas displaying clear cell change. Whole exome sequencing (WES) was carried out and revealed high tumour mutation burden, and 7 pathogenic mutations, including TP53, APC, FGFR4, EHBP1, IL4R, TYR, and ACTN3.
Conclusion: Clear cell change may only be present in less than 0,1% of adenomas. Aetiology is not well understood, additionally, few authors suggest autolysis or fixation problems. Our WES resulted in newly found pathogenic mutations, and high mutation burden, proving the lesion’s neoplastic origin. Hitherto, neither special stainings, nor immunohistochemical markers proved to be useful in the diagnostic process. From a differential diagnostic perspective, enteroblastic differentiation, primary and secondary clear cell adenocarcinoma has to be excluded.
DOI: 10.17632/t8rrbn9ynd.1
title: Data for: ENSO Impacts on Global Wave Climate and Potential Coastal Hazards

description: This repository contains data of the article: Odériz, Itxaso; Silva, Rodolfo; Mortlock, Thomas; Mori, Nobuhito (2020), “ENSO Impacts on Global Wave Climate and Potential Coastal Hazards". Journal of Geophysical Reserach Oceans Information is provided for the ocean basins with a 0.5º resolution in three folders: Folder 1) contains the linear trends of monthly average of wave power and mean wave direction from 1985 to 2018. Folder 2) contains the correlation coefficients between the wave parameters (wave power and wave direction; the time series were de-trended and the annual component removed) and the climate index ( ONI (Oceanic Nino Index) and SOI (Southern Oscillation Index), MEI (Multivariate ENSO Index)and Niño3.4. Folder 3) Contains the coastal classification carried out using a K-mean clustering technique with R(MEI-Pw) and R(ME-Dir) input data.
DOI: 10.5281/zenodo.13731812
title: Strain Partitioning in the Southeastern Tibetan Plateau from Kinematic Modeling of High-Resolution Sentinel-1 InSAR and GNSS

description: InSAR Line-of-Sight (LOS) velocities and their associated uncertainties in the southeastern Tibetan Plateau, along with the strain rate fields.

Citations:

Fang, J., Wright, T. J., Johnson, K. M., Ou, Q., Styron, R., Craig, T. J., Elliott, J. R., Hooper, A., & Zheng, G. (2024). Strain Partitioning in the Southeastern Tibetan Plateau from Kinematic Modeling of High-Resolution Sentinel-1 InSAR and GNSS. Geophysical Research Letters.

Fang, J., Wright, T. J., Johnson, K. M., Ou, Q., Styron, R., Craig, T. J., Elliott, J. R., Hooper, A., & Zheng, G. (2024). Strain Partitioning in the Southeastern Tibetan Plateau from Kinematic Modeling of High-Resolution Sentinel-1 InSAR and GNSS [Data set]. Zenodo.  https://doi.org/10.5281/zenodo.13731812
DOI: 10.5441/002/edbt.2018.29
title: QUASII: QUery-Aware Spatial Incremental Index
DOI: 10.6084/m9.figshare.12227282
title: EIS Dataset & NN code

description: The EIS data collected from Nissan Leaf 2012 is shared here. In addition the Neural Netwrok code developed for Health Estimation of the Lithium-ion batteries are shared here.
DOI: 10.3886/icpsr05205.v1
title: Comparative Research on the Events of Nations (CREON) Project: Foreign Policy Events, 1959-1968
title: Version 1

description: This study provides data for 36 nations on the behaviors engaged in by international actors and the internal governmental processes associated with these behaviors in the period 1959-1968. Data are available for actors, actions, resources, targets, and behavior. Variables that identify actors include heads of state, ad hoc small groups, formal small groups, multinational collaborators, deliberative assemblies, treasuries, and nongovernmental decision-makers, as well as foreign affairs, economic, intelligence, and internal affairs bureaucracies, and other units. Actions variables are divided into verbal and nonverbal actions and both are further divided into conflictual and cooperative actions. Variables on resources provide information on the nature of the skills the actor used in executing an event, and they include economic, scientific, and technical resources, as well as military, diplomatic, political, legal, cultural, and ideological resources. Information is also provided on the proposed use, actual use, and future time use of these resources. Target variables specify direct and indirect objects, number, and the nature of the objects or targets. Behavior variables are divided into verbal and nonverbal behaviors and include those for unilateral policy exchange, border, protocol, penetrative, military, comment, bargaining, world organization, regional organization, treaty, propaganda and culture, foreign assistance, and economic transaction behaviors. Each record is an event. The data were coded for randomly selected quarter-years of the ten-year period.
description: Datasets: 
 
 DS1: Dataset
description: Foreign policy events involving a total of 36 nations in the period 1959-1968.
DOI: 10.5281/zenodo.12720778
title: DES Supernova 5YR Data Release

description: This data set was generated by the Dark Energy Survey (DES) team, and was used for the cosmological analysis in the DES key supernova cosmology paper (arXiv:2401.02929). When using this data please cite both the data release paper (Sanchez et al. 2024, ApJ, arXiv:2406.05046) and the DES key paper (Dark Energy Survey Collaboration 2024, ApJL, arXiv:2401.02929). At DES-SN5YR Github Repo (https://github.com/des-science/DES-SN5YR), we provide a comprehensive list of references for the different data products (SALT3 light-curve model, calibration, DCR corrections, SN classification, SN distances and uncertainties covariance matrix). If you have questions, post an issue on the DES-SN5YR Github repository and/or get in touch with the contact people indicated on the Github repository.
DOI: 10.5281/zenodo.13143289
title: Source data supporting the Article " Malaria transmission risk is projected to increase in the highlands of Western and Northern Rwanda"

description: Average Tmin, Tmax, rainfall, malaria incedence in 30 districts were retrieved from the Rwanda Meteorological Agency and Rwanda’s Health Management Information System (HMIS) during 2010–2015. We applied an ensemble learning method, namely, Random Forest Model (RFM), to comprehensively estimate the effect of a changing climate on malaria incidence according to historical observations in Rwanda. Based on this forecasting model, we predict future malaria risk and its spatiotemporal changes under two distinct Shared Socioeconomic Pathways (SSP2-4.5 and SSP5-8.5).
DOI: 10.5676/dwd_gpcc/fd_d_v2018_100
title: GPCC Full Data Daily Version 2018 at 1.0°: Daily Land-Surface Precipitation from Rain-Gauges built on GTS-based and Historic Data
title: Gridded Daily Totals

description: This is the GPCC Full Data Daily product of daily global land-surface precipitation based on data provided by national meteorological and hydrological services, global and regional data collections as well as WMO GTS-data. This product contains the daily totals on a regular grid with a spatial resolution of 1.0° x 1.0° latitude by longitude. Relative precipitation anomalies at the stations are interpolated by means of a modified SPHEREMAP scheme and then superimposed on the GPCC Full Data Monthly V.2018 (DOI: 10.5676/DWD_GPCC/FD_M_V2018_100). The temporal coverage of the dataset ranges from January 1982 until December 2016.
description: General user recommendations: Users are referred to following gridded Global Precipitation Climate Centre (GPCC) products: GPCC Climatology 1951-2000 (GPCC_CLIM) with high representativeness, for application as a reference, and for utilization of the anomaly interpolation method. GPCC Full Data Monthly (GPCC_FD) with high accuracy, for, e.g., verification of models, or for analysis of historic global precipitation, or for research concerning the global water cycle, e.g., teleconnection analyses. GPCC Monitoring Product (GPCC_MP) with high availability and reasonable timeliness, for applications like calibration of satellite data, or early annual reporting. GPCC First Guess Monthly (GPCC_FG_M) and First Guess Daily (GPCC_FG_D) with high timeliness, to be applied for, e.g., drought monitoring.
DOI: 10.1285/i22840753n21p149
title: The dawn of the living communities: for a mediology of horror fandom in Dylan Dog

description: Fandom activities and practices are a complex machine driven by fan participation and capacity of intercepting the relationships between media production and consumption, thus influencing the productive logics of cultural industry. In order to better understand some of the evolutions that fandom has recently undergone, this contribution intends to investigate the phenomenon in relation to the Dylan Dog franchise. Cult hailed by critics, Dylan Dog has been a momentous comic series, able to uniquely resonate and answer to the desires and identity needs of its audience (Frezza 1995, 2017). One key reason for its prolonged success and commercial fortune lies in its capacity to build a thick network of cinematic and literary references (to quote Eco, an encyclopedia: 1979) that the readers have to actualize, thus becoming themselves active devices of the texts (Abruzzese 2016). This in turn has encouraged, and been mirrored by, a series of fan practices taking part throughout the years. The intense relationship Dylan Dog entertains with his fans has transformed over time in line with the evolutions of the media system and their aging. Its fandom changed from niche communities with a strong internal homology (mainly composed of young horror fans) to expanded ones, whose fan practices, especially online, were markedly heterogeneous. Recchioni's arrival at the helm of the magazine was the fuse that exploded - through dynamics typical of the social web such as echo chambers, filter bubbles and polarized debates (Bentivegna, Boccia Artieri 2019) – (insoluble?) tensions between older and newer generations, earlier and more recent fans. This contribution wants to draw a comparison between the first fan experiences (Horror post and Dylan Dog Horror Fest) and contemporary ones taking place on the internet (forums, fanpages, and fanfilms), foregrounding the networks of cultural practices that are shaping fandom following or crossing generational divides.
DOI: 10.13019/eybp-qb57
title: Sigma Coefficient of Yield Volatility: A Global Dataset of Irrigated and Rainfed Corn Yield Volatility Based on NEX-GDDP-CMIP6

description: This global dataset provides the estimated volatility of corn yields due to heat stress for 20 climate models in NEX-GDDP-CMIP6 data at 0.25-degree resolution.
DOI: 10.17026/dans-zbe-rcb4
title: Interreligious Conflicts in Indonesia 2017.

description: “Interreligious Conflicts in Indonesia 2017” provides documentation of a cross-religious dataset among the general population in six potential conflict regions in Indonesia. The Dans Data Guide 15 (meta-data) contains the research topic, theoretical framework, relevant concepts and measurements, the purposive sampling of locations, data collection procedures, the random selection of respondents and the response rates. The data were collected to investigate the relationship of ethno-religious identification with support for interreligious violence among the general population in carefully selected areas of latent and manifest conflict in Indonesia: Bekasi, South Lampung, Singkil-Aceh, Poso, Kupang, and Sampang-Madura. This research applies and further develops an integrated theory of intergroup conflict, in formulating and empirically testing hypotheses on cross-cultural and inter-individual differences of latent conflict, more specifically inter-group contact avoidance and support of interreligious protests and interreligious violence. The research is funded by the Indonesia Endowment Fund for Education (LPDP).
DOI: 10.17632/d2hs6zt8gw.1
title: ZCP Dataset - Distorted Sinusoidal Signal

description: Zero-crossing point detection is necessary to establish a consistent performance in various power system applications. Machine learning models can be used to detect zero-crossing points. A dataset is required to train and test machine learning models in order to detect the zero crossing point.  These datasets can be helpful to the researchers who are working on zero-crossing point detection problem using machine learning models. All these datasets are created based on MATLAB simulations. Total 28 datasets developed based on various window size like 5,10,15,20 and noise levels like 10%,20%,30%,40%,50% and 60%.  Similarly, total 28 datasets developed based on various window size like 5,10,15,20 and THD levels like 10%,20%,30%,40%,50% and 60%. Also, total 36 datasets prepared based on window size like 5,10,15,20 and combination of  noise (10%,30%,60%) and THD (20%,40%,60%). Each dataset consists 4 input features called slope, intercept, correlation and RMSE, and one output label with the values either 0 or 1. 0 represents non zero-crossing point class, whereas 1 represents  zero-crossing point class. Datasets Information like number of samples and combinations (Window size, Noise and THD) is available in Data Details excel sheet. These datasets will be useful for faculty, students and researchers who are working on ZCP problem.
DOI: 10.17632/fzv5ynzc89.1
title: Dataset of phenotyping recombinant inbred lines population of wheat under heat stress conditions  

description: The presented data included the phenotyping of parents and 249 RIL population of F8 and F9 generations derived from the cross between HUW510 and HD2808 wheat genotypes under timely and late sown conditions during the 2013-14 and 2014-15 crop seasons, respectively. A total of eight agronomic traits were subjected to phenotype and the heat susceptibility index (HSI) of these traits was estimated to identify the effect of heat stress on the parents and RIL population. The presented dataset could be utilized to understand the genetic basis for heat stress tolerance in wheat
DOI: 10.17909/325d-tm53
title: commissioning data used in 'The nested morphology of disk winds from young stars revealed by JWST/NIRSpec observations'

description: point source commissioning data used to deconvolve science data
DOI: 10.17909/3z83-wx27
title: Data from paper "The nested morphology of disk winds from young stars revealed by JWST/NIRSpec observations"
DOI: 10.17909/55e7-5x63
title: Pan-STARRS1 DR1 Catalog

description: Data release 1 object catalog from the Pan-STARRS1 survey
DOI: 10.18462/iir.cryo.2019.0067
title: Closed cycle cryosurgical device with phase separator and mixed refrigerant.

description: A device for cryodestruction working on a mixture of refrigerants in a closed cycle and intended for the treatment of diseases of the skin of the face and body in the field of dermatology, cosmetology and oncology is proposed. The design of the nozzle, allowing organizing a closed cycle is provided. Model of the device for the cold treatment is provided. Results of tests of the device confirming its technical characteristics are given. Proposals for further development are mentioned.
DOI: 10.18462/iir.gl.2018.1201
title: Theoritical investigation of a high temperature heat pump using a micro turbo compressor and water as a refrigerant.

description: Heat at temperature levels of 110 to 160°C is used in various industrial processes, such as heating, humidification, cleaning, and sterilization. Currently, this heat is generated by fossil fuels or electricity and is often transferred using steam as an energy carrier. This paper presents the simulation and the design of a high temperature heat pump using R718 as a refrigerant with supply temperatures in excess of 150°C. The use of a gas lubricated micro turbo compressor enables oil-free operation. In this way,
the process can be run as a closed cycle or even as an open cycle, further increasing its efficiency. As a heat source, different methods are proposed such as high temperature waste heat or a heat pump cascade configuration where the R718 heat pump is used as the high temperature stage. The proposed cycle will be compared to state of the art solutions.
DOI: 10.18462/iir.icr.2019.0980
title: Research of mixed refrigerant cycle for liquefaction of natural gas depending on ambient conditions and its regulation.
DOI: 10.21949/1504482
title: Safety Pilot Model Deployment Data
DOI: 10.22032/dbt.50941
title: Offshore wind energy policy trends in Denmark and Germany

description: This data set includes the following files: Denmark_Offshore_Wind Turbines_1991-2021: The data is collected from Danish Energy Agency's public website. No change has been made on the data. Germany_Offshore_Wind_Turbines_2009-2020: The data is received from several public resources including The European Wind Energy Association and Federal Ministry for Economic Affairs and Energy. Source for the years 2013-2020 is collected from Statista by using Friedrich Schiller Univetsity Jena's campus license. Electricity_prices_for_domestic_consumers_bi-annual_data_(until_2007) & Electricity_prices_for_household_consumers_bi-annual_data_(from_2007_onwards) : Both files are created by using the Eurostat public database website. This dataset is related to the article published in "ECONOMICS AND POLICY OF ENERGY AND THE ENVIRONMENT", 2023, https://doi.org/10.3280/EFE2023-001003