cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18376079
title: Daten der Notaufnahmesurveillance

description: Der Datensatz "Daten der Notaufnahmesurveillance" wird durch das Robert Koch-Institut und das AKTIN-Notaufnahmeregister bei Krankenhausaufnahmen bereitgestellt. Der Datensatz beinhaltet aggregierte Routinedaten aus deutschen Notaufnahmen zur syndromischen Überwachung von akuten Erkrankungen. Dazu zählen grippeähnliche Erkrankungen (ILI), Coronavirus-Erkrankungen (COVID-19), akute respiratorische Erkrankungen (ARE), gastrointestinale Infektionen (GI) und schwere akute respiratorische Infektionen (SARI). Dabei wird der relative Anteil dieser Erkrankungen an der Gesamtzahl der Notaufnahmevorstellungen sowie die berechneten Erwartungswerte und Prädiktionsintervalle ausgewiesen. Die Daten sind nach Notaufnahmetypen und Altersgruppen aggregiert. Damit bietet der Datensatz eine wertvolle Ressource für die Forschung im Bereich der Notfallmedizin und der Überwachung akuter Gesundheitsereignisse in Deutschland.
DOI: 10.5281/zenodo.18374927
title: NOVAC_BRAND5_3.3F_2_23C_0k_EDLC_single

description: MetSuperCap Project Dataset 3.3F SC sample 2 NOVAC - EDLC Single - Brand5

Part of the Constant Temperature DataBase
DOI: 10.48596/pgn.rnvh3p1-8.windsor-west.p208s1
title: Pandora 208s1 sky NO2 surface number density, partial and tropospheric column amount at Windsor-West; Processing Code: nvh3; Processor Version: 1-8
DOI: 10.48596/pgn.rfuh5p1-8.windsor-west.p208s1
title: Pandora 208s1 sky H2CO surface number density, partial and tropospheric column amount at Windsor-West; Processing Code: fuh5; Processor Version: 1-8
DOI: 10.5518/1540
title: Data to support Structural Consequences of Different Metal Compositions in the Doped Spin-Crossover Crystals [FezM1−z(bpp)2][BF4]2 (M = Ni, Zn; bpp = 2,6-Bis{pyrazol-1-yl}pyridine)

description: The behaviour of the crystallographic unit cell parameters during spin-crossover in [FezM1‒z(bpp)2][BF4]2 (bpp = 2,6-bis{pyrazol-1-yl}pyridine; M = Zn or Ni; 0 < z < 1) depends significantly on the dopant metal ion.
DOI: 10.7910/dvn/39kqmb
title: Access, consumption and preferences for the bean-based flour Consumer survey data in Burundi

description: The data were collected as part of M&E to learn about your uptake of processed bean products by consumers and draw perspectives on new bean-based products from research partners. The specific objectives were: 1) assess and consumption of nutrient dense food products promoted by the project; 2) evaluate the potential demand for processed bean-based products, 3) identify drivers of demand for processed bean-based products, 4) examine nutrition knowledge by acquired consumers and 5) analyse the marketing models to increase demand. The survey was hinged on the consumption patterns of processed products from six processors supported under the flagship project. 

Data comprised of: 1) quality of infrastructure to the community, 2) Household assets and housing characteristics, 3) Adoption and dis-adoption of the bean based processed products, 4) History about product consumption, 5) Groups people within household that consume the product, 6) Market outlets used to access the products, 7) consumers’ perception and attitudes towards the processed bean based products and 8) food items consumed collected on two reference individuals in the household: woman in the reproduction age bracket and a child below age five.&lt;br&gt;&lt;br&gt; Methodology:We collected consumer survey data electronically using handheld tablets equipped with a Computer Assisted Personal Interview (CAPI) application. After training our field interviewers on the CAPI system, we pre-tested the survey modules and refined the tools based on the results before launching the full data collection.
DOI: 10.25505/fiz.icsd.cc2l7130
title: CSD 2390041: Experimental Crystal Structure Determination

description: Related Article: Yi Zheng, Qian Li, Hongping Wu, Zhanggui Hu, Jiyang Wang,1 Yicheng Wu, Hongwei Yu|2025|Innovation Mater.|3|100160|doi:10.59717/j.xinn-mater.2025.100160
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25505/fiz.icsd.cc2l7141
title: CSD 2390042: Experimental Crystal Structure Determination

description: Related Article: Yi Zheng, Qian Li, Hongping Wu, Zhanggui Hu, Jiyang Wang,1 Yicheng Wu, Hongwei Yu|2025|Innovation Mater.|3|100160|doi:10.59717/j.xinn-mater.2025.100160
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15159/phytop.153
title: Hindaste

description: Phytoplankton biomass, diversity and abundance in samples collected from Lake Hindaste during the period 1953, 1956 and 1976.
DOI: 10.5281/zenodo.15580883
title: iDust-ut: A Global Wind Erosion Threshold Dataset for Enhanced Dust Forecasting

description: Dataset Description:

This dataset provides global monthly dust emission threshold velocity (ut) at 1°×1° resolution, developed through multi-source data integration including ground observations, satellite retrievals, and reanalysis products.

Contents:



Contains complete source code for dataset generation (ut/genut)

iDust-ut dataset derived from multi-source observations and reanalysis (ut/rlt/iDust_ut.nc)

Model-adaptive ut dataset for iDust, CAMS, ERA5, and MERRA-2 with 10-meter wind speed bias compensation(ut/rlt/*ms_ut*.nc)


Key Features:



iDust-ut validated against field observations (R=0.93, RMSE=0.8 m/s)

Model-adaptive ut for improved dust forecasting

Ready-to-use NetCDF4 format with CF-compliant metadata
DOI: 10.5281/zenodo.18376220
title: iDust-ut: A Global Wind Erosion Threshold Dataset for Enhanced Dust Forecasting

description: Dataset Description:

This dataset provides global monthly dust emission threshold velocity (ut) at 1°×1° resolution, developed through multi-source data integration including ground observations, satellite retrievals, and reanalysis products.

Contents:



Contains complete source code for dataset generation (ut/genut)

iDust-ut dataset derived from multi-source observations and reanalysis (ut/rlt/iDust_ut.nc)

Model-adaptive ut dataset for iDust, CAMS, ERA5, and MERRA-2 with 10-meter wind speed bias compensation(ut/rlt/*ms_ut*.nc)


Key Features:



iDust-ut validated against field observations (R=0.93, RMSE=0.8 m/s)

Model-adaptive ut for improved dust forecasting

Ready-to-use NetCDF4 format with CF-compliant metadata
DOI: 10.5281/zenodo.18376252
title: Governing the trade-off between the co-production of actionable knowledge and academic publishing in transdisciplinary sustainability research

description: Original data of the 50 interviews with PI's of EU funded project within the Research and Innovation (RIA) funding schemes. 

Supplement to the paper 'Governing the trade-off between the co-production of actionable knowledge and academic publishing in transdisciplinary sustainability research'
DOI: 10.5281/zenodo.18376251
title: Governing the trade-off between the co-production of actionable knowledge and academic publishing in transdisciplinary sustainability research

description: Original data of the 50 interviews with PI's of EU funded project within the Research and Innovation (RIA) funding schemes. 

Supplement to the paper 'Governing the trade-off between the co-production of actionable knowledge and academic publishing in transdisciplinary sustainability research'
DOI: 10.24435/materialscloud:7d-ns
title: Hydroxylation-driven surface reconstruction at the origin of compressive-to-tensile stress transition in metal oxide nanoparticles

description: Experiments reveal negative (non-Laplacian) surface stresses in metal oxide nanoparticles, partly associated with humidity during fabrication and annealing. Using a neural network interatomic potential for MgO, we prove that water adsorption induces surface hydroxylation, shifting facets from {100} to {110} to {111} and switching the average surface stress from positive to negative. Predicted lattice strains versus nanoparticle size agree well with experiments, clarifying experimental correlations. The new framework informs broad applications in catalysis, sensors, batteries, and biomedicine.
DOI: 10.24435/materialscloud:xt-jk
title: Hydroxylation-driven surface reconstruction at the origin of compressive-to-tensile stress transition in metal oxide nanoparticles

description: Experiments reveal negative (non-Laplacian) surface stresses in metal oxide nanoparticles, partly associated with humidity during fabrication and annealing. Using a neural network interatomic potential for MgO, we prove that water adsorption induces surface hydroxylation, shifting facets from {100} to {110} to {111} and switching the average surface stress from positive to negative. Predicted lattice strains versus nanoparticle size agree well with experiments, clarifying experimental correlations. The new framework informs broad applications in catalysis, sensors, batteries, and biomedicine.
DOI: 10.5281/zenodo.18348466
title: Dataset for laser profiler feedback into a Fabrication Information Model

description: Raw laser-profiling measurements of small-scale 3D-printed components. The data were captured with a Gocator 2330 laser profiler mounted on a UR5e robotic arm. The individual measurements were taken sequentially between layers of a 3D-printing process.
DOI: 10.5281/zenodo.18348467
title: Dataset for laser profiler feedback into a Fabrication Information Model

description: Raw laser-profiling measurements of small-scale 3D-printed components. The data were captured with a Gocator 2330 laser profiler mounted on a UR5e robotic arm. The individual measurements were taken sequentially between layers of a 3D-printing process.
DOI: 10.24435/materialscloud:6m-fz
title: Uncovering the origin of interface stress enhancement and compressive-to-tensile stress transition in immiscible nanomultilayers

description: The intrinsic stress in nanomultilayers (NMLs) is typically dominated by interface stress, which is particularly high in immiscible Cu/W NMLs. Here, atomistic simulations with a chemically-accurate neural network potential reveal the role of interfacial intermixing and metastable phase formation on the interface stress levels.  These results rationalize an experimentally-reported compressive-to-tensile transition as a function of NML deposition conditions and the extremely high interface stresses under some conditions.
DOI: 10.24435/materialscloud:8a-gh
title: Uncovering the origin of interface stress enhancement and compressive-to-tensile stress transition in immiscible nanomultilayers

description: The intrinsic stress in nanomultilayers (NMLs) is typically dominated by interface stress, which is particularly high in immiscible Cu/W NMLs. Here, atomistic simulations with a chemically-accurate neural network potential reveal the role of interfacial intermixing and metastable phase formation on the interface stress levels.  These results rationalize an experimentally-reported compressive-to-tensile transition as a function of NML deposition conditions and the extremely high interface stresses under some conditions.
DOI: 10.6084/m9.figshare.31149772
title: Number of cells to calculate doubling time.

description: This file is a supplementary material for a publication.
DOI: 10.6084/m9.figshare.31149772.v1
title: Number of cells to calculate doubling time.

description: This file is a supplementary material for a publication.
DOI: 10.5281/zenodo.18375913
title: Beyond Text Similarity: Evaluating Vision-Language Models for Code Extraction from Images

description: A dataset of code images derived from the HumanEval-X[1] benchmark, aiming to evaluate code extraction from images.
DOI: 10.5281/zenodo.18374191
title: Replication data for Beyond Tickets and Texts: Addressing Challenges in AI-driven Customer Service

description: This dataset contains the data and computational artifacts supporting the study, "Beyond Tickets and Texts: Addressing Challenges in AI-driven Customer Service" It includes the abstract corpus used for topic modeling, precomputed embeddings, full BERTopic configuration files, clustering outputs. The dataset is intended to enable transparent auditing and deterministic reproduction of the analyses reported in the revised manuscript.
DOI: 10.5281/zenodo.18374192
title: Replication data for Beyond Tickets and Texts: Addressing Challenges in AI-driven Customer Service

description: This dataset contains the data and computational artifacts supporting the study, "Beyond Tickets and Texts: Addressing Challenges in AI-driven Customer Service" It includes the abstract corpus used for topic modeling, precomputed embeddings, full BERTopic configuration files, clustering outputs. The dataset is intended to enable transparent auditing and deterministic reproduction of the analyses reported in the revised manuscript.
DOI: 10.5281/zenodo.18373569
title: Anonymous

description: This dataset contains the entire data we collected in our study to investigate whether ChatGPT can generate synthetic system requirement specifications without any access to real data.
DOI: 10.24435/materialscloud:d2-jw
title: Refining interface stress measurement in nanomultilayers through layer corrugation and interface roughness corrections

description: This study introduces new models that incorporate layer corrugation and interface roughness into standard approaches for measuring interface stress in nanomultilayers (NMLs). Applied to Cu/W NMLs, these models show that ignoring such features can inflate measured interface stress by up to 0.4 J/m^2. However, corrugation and roughness alone cannot account for the extreme stresses reported, suggesting that atomic-scale phenomena (e.g., intermixing and metastable phase formation at the interfaces) dominate. These findings highlight the importance of balancing bilayer counts and thickness-to-roughness ratios for reliable stress quantification, providing a practical pathway to designing and characterizing advanced nanocomposite coatings with improved accuracy.
DOI: 10.24435/materialscloud:mx-va
title: Refining interface stress measurement in nanomultilayers through layer corrugation and interface roughness corrections

description: This study introduces new models that incorporate layer corrugation and interface roughness into standard approaches for measuring interface stress in nanomultilayers (NMLs). Applied to Cu/W NMLs, these models show that ignoring such features can inflate measured interface stress by up to 0.4 J/m^2. However, corrugation and roughness alone cannot account for the extreme stresses reported, suggesting that atomic-scale phenomena (e.g., intermixing and metastable phase formation at the interfaces) dominate. These findings highlight the importance of balancing bilayer counts and thickness-to-roughness ratios for reliable stress quantification, providing a practical pathway to designing and characterizing advanced nanocomposite coatings with improved accuracy.
DOI: 10.5281/zenodo.18374641
title: Digital Economy and Entrepreneurship as Joint Dimensions of Sectoral Value Added: Evidence from OECD Economies

description: This repository provides the data and Python code supporting the article:

“Digital Economy and Entrepreneurship as Joint Drivers of Sectoral Value Added: Evidence from OECD Economies.”

The repository is designed to ensure transparency, replicability, and reusability of the empirical analysis. It includes the full indicator dataset, processed factor structures, and estimation outputs used in the paper.

The empirical framework combines multidimensional Digital Economy and Entrepreneurship indicators, condensed via Sparse Principal Component Analysis (SPCA), and examines their joint association with sectoral Gross Value Added (GVA) across OECD economies using interaction-based panel regressions.



Repository Contents

The repository includes the following components:

1. Python Code





Python scripts used for:





Data cleaning and harmonization




Construction of Digital Economy and Entrepreneurship factors using SPCA




Generation of interaction terms




Estimation of sector-level panel regressions with fixed effects






Code is fully commented and structured to allow replication and extension of the analysis.



2. Dataset





Harmonized panel dataset at the country–sector–time level.




Includes:





Digital Economy indicators (267 indicators)




Entrepreneurship and Innovation indicators (92 indicators)




Sectoral Gross Value Added (GVA)






All indicators are drawn from internationally established and publicly available sources (OECD, European Commission, ITU, World Bank, WIPO, G20, IMD, GSMA, EIU).



3. Indicator Table





A detailed indicator table documenting:





Indicator names




Source framework




Conceptual dimension (e.g. infrastructure, skills, innovation, business dynamics)






Facilitates transparency and traceability from raw indicators to latent factors.



4. SPCA Loadings





Sparse Principal Component Analysis (SPCA) loading matrices for:





Digital Economy factors




Entrepreneurship factors






Loadings are reported separately to enhance interpretability and to document how latent dimensions are constructed from underlying indicators.



5. Regression Results





Output tables from sector-level panel regressions, including:





Main effects of Digital Economy and Entrepreneurship factors




Interaction terms between Digital Economy and Entrepreneurship dimensions






Results are reported consistently with the empirical framework described in the paper.





Purpose and Reuse

This repository supports:





Replication of the empirical results presented in the paper




Methodological reuse of the SPCA-based factor construction approach




Extension of the framework to alternative sectors, countries, or time periods




Comparative studies on digitalization, entrepreneurship, and economic performance



The materials are intended for academic researchers, policy analysts, and practitioners interested in the joint role of Digital Economy and Entrepreneurship in shaping sectoral economic outcomes.
DOI: 10.5281/zenodo.18374640
title: Digital Economy and Entrepreneurship as Joint Dimensions of Sectoral Value Added: Evidence from OECD Economies

description: This repository provides the data and Python code supporting the article:

“Digital Economy and Entrepreneurship as Joint Drivers of Sectoral Value Added: Evidence from OECD Economies.”

The repository is designed to ensure transparency, replicability, and reusability of the empirical analysis. It includes the full indicator dataset, processed factor structures, and estimation outputs used in the paper.

The empirical framework combines multidimensional Digital Economy and Entrepreneurship indicators, condensed via Sparse Principal Component Analysis (SPCA), and examines their joint association with sectoral Gross Value Added (GVA) across OECD economies using interaction-based panel regressions.



Repository Contents

The repository includes the following components:

1. Python Code





Python scripts used for:





Data cleaning and harmonization




Construction of Digital Economy and Entrepreneurship factors using SPCA




Generation of interaction terms




Estimation of sector-level panel regressions with fixed effects






Code is fully commented and structured to allow replication and extension of the analysis.



2. Dataset





Harmonized panel dataset at the country–sector–time level.




Includes:





Digital Economy indicators (267 indicators)




Entrepreneurship and Innovation indicators (92 indicators)




Sectoral Gross Value Added (GVA)






All indicators are drawn from internationally established and publicly available sources (OECD, European Commission, ITU, World Bank, WIPO, G20, IMD, GSMA, EIU).



3. Indicator Table





A detailed indicator table documenting:





Indicator names




Source framework




Conceptual dimension (e.g. infrastructure, skills, innovation, business dynamics)






Facilitates transparency and traceability from raw indicators to latent factors.



4. SPCA Loadings





Sparse Principal Component Analysis (SPCA) loading matrices for:





Digital Economy factors




Entrepreneurship factors






Loadings are reported separately to enhance interpretability and to document how latent dimensions are constructed from underlying indicators.



5. Regression Results





Output tables from sector-level panel regressions, including:





Main effects of Digital Economy and Entrepreneurship factors




Interaction terms between Digital Economy and Entrepreneurship dimensions






Results are reported consistently with the empirical framework described in the paper.





Purpose and Reuse

This repository supports:





Replication of the empirical results presented in the paper




Methodological reuse of the SPCA-based factor construction approach




Extension of the framework to alternative sectors, countries, or time periods




Comparative studies on digitalization, entrepreneurship, and economic performance



The materials are intended for academic researchers, policy analysts, and practitioners interested in the joint role of Digital Economy and Entrepreneurship in shaping sectoral economic outcomes.
DOI: 10.5282/ubm/data.748
title: Supplementary data: Genomic factors contributing to the resilience of Salmonella enterica on ready-to-eat muskmelon

description: Data to: Illumina sequencing raw reads to: Esteban-Cuesta, Irene; Führer, Laura; Porwollik, Steffen; Chu, Weiping; Fiddaman, Steven R.; Sah, Irmak; McClelland, Michael und Guldimann, Claudia (2026): Genomic factors contributing to the resilience of Salmonella enterica on ready-to-eat muskmelon. In: Food Microbiology, Bd. 134, 104947. https://doi.org/10.1016/j.fm.2025.104947
DOI: 10.5518/1538
title: Supplementary Information for "CirCrete: A multi-criteria performance-based decision support framework for end-of-life management of concrete"

description: This Excel spreadsheet has been prepared and specifically tailored to exemplify how to conduct scenario calculations for the implementation of CirCrete, a multi-criteria based decision support framework that facilitates the end of life management of a concrete structure from a circular economy perspective. This spreadsheet has been prepared by the authors for demonstration purpose. This spreadsheet consists of a total of eight worksheets. The first is the introduction, the next five are for calculations related to the remanufacture and recycling/landfilling route, the sixth worksheet is for the refurbishment route in the original paper and the last worksheet is the reference list. Further explanatory notes are provided in the "Introduction worksheet"
DOI: 10.5281/zenodo.18376363
title: dataset_BOS market niches

description: This dataset includes the raw data supporting Deliverable 2.2 of the BEAGLE project.

This dataset provides an in-depth mapping of thematic niches and innovation performance across the BEAGLE project regions. It identifies high-potential biomass-based value chains and examines the S3 (Smart Specialisation Strategy) priorities that drive regional growth. The data offers a strategic overview of how regional strengths align with emerging technological opportunities to foster competitive innovation ecosystems.