cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17641010
title: Dataset of "Surface modification of bulk material for particle bed 3D concrete printing – effect on wettability, porosity, and mechanical properties"

description: This dataset includes the data of the paper "Surface modification of bulk material for particle bed 3D concrete printing – effect on wettability, porosity, and mechanical properties".In the publication the surfaces of three bulk materials where modified using three different surface modifiers at different concentrations.The bulk materials are: 1. sand A, 2. sand B, 3. sand B/cement 60/40The surface modifications are: 1. nano-SiO2, 2. nano-TiO2, 3. DEG

In the files, the measurementdata is assigned to a certain mixture with three attributes:1. "Host Material" which is the bulk material material used2. "Additive" which was used as surface modification3. "theoretical SAC (-) / layer thickness (nm)" which refers to the concentration of the surface modifier (Surface Area Coverage (SAC) for nano-SiO2 and nano-TiO2 and layer thickness for DEG)

The document Particle-Size-Distributions.csv contains the particle size distributions of sand A, sand B and cement.

The document Bulk-Densities_and_Porosities.csv contains the measured masses of the bulk density measurement as well as calculated solid densities based on the density of the mixture components. Further, the mean bulk densities and porosities are included.

The document Draw-In-Speeds.csv contains the draw-in speeds of water into the mixtures. Further, the draw-in speeds of hexane as well as the calcualted cos(Theta) are included for the sand mixtures.

The document Printing_Results.csv contains the printing results (compacted particle bed density, printed specimen density and 28d compressive strength) without and with curing for the printed sand B/cement 60/40 mixtures.

The documents Hydration_sand-B-Cement.csv, Hydration_sand-B-Cement_05nm-DEG.csv and Hydration_sand-B-Cement_50SAC_nano-SiO2.csv contain the hydration results for the unmodified sand B/cement 60/40 mixture, the sand B/cement 60/40 mixture modified with 0.5 nm DEG and the sand B/cement 60/40 mixture modified with 50 % SAC nano-SiO2.

The document SEM-Images.zip contains folders with SEM images of the uncoated sand A as well as the sand A coated with nano-SiO2 or nano-TiO2 at different SACs. The folders are named in the scheme "sandA_"Additive"_"SAC".
DOI: 10.5281/zenodo.17641009
title: Dataset of "Surface modification of bulk material for particle bed 3D concrete printing – effect on wettability, porosity, and mechanical properties"

description: This dataset includes the data of the paper "Surface modification of bulk material for particle bed 3D concrete printing – effect on wettability, porosity, and mechanical properties".In the publication the surfaces of three bulk materials where modified using three different surface modifiers at different concentrations.The bulk materials are: 1. sand A, 2. sand B, 3. sand B/cement 60/40The surface modifications are: 1. nano-SiO2, 2. nano-TiO2, 3. DEG

In the files, the measurementdata is assigned to a certain mixture with three attributes:1. "Host Material" which is the bulk material material used2. "Additive" which was used as surface modification3. "theoretical SAC (-) / layer thickness (nm)" which refers to the concentration of the surface modifier (Surface Area Coverage (SAC) for nano-SiO2 and nano-TiO2 and layer thickness for DEG)

The document Particle-Size-Distributions.csv contains the particle size distributions of sand A, sand B and cement.

The document Bulk-Densities_and_Porosities.csv contains the measured masses of the bulk density measurement as well as calculated solid densities based on the density of the mixture components. Further, the mean bulk densities and porosities are included.

The document Draw-In-Speeds.csv contains the draw-in speeds of water into the mixtures. Further, the draw-in speeds of hexane as well as the calcualted cos(Theta) are included for the sand mixtures.

The document Printing_Results.csv contains the printing results (compacted particle bed density, printed specimen density and 28d compressive strength) without and with curing for the printed sand B/cement 60/40 mixtures.

The documents Hydration_sand-B-Cement.csv, Hydration_sand-B-Cement_05nm-DEG.csv and Hydration_sand-B-Cement_50SAC_nano-SiO2.csv contain the hydration results for the unmodified sand B/cement 60/40 mixture, the sand B/cement 60/40 mixture modified with 0.5 nm DEG and the sand B/cement 60/40 mixture modified with 50 % SAC nano-SiO2.

The document SEM-Images.zip contains folders with SEM images of the uncoated sand A as well as the sand A coated with nano-SiO2 or nano-TiO2 at different SACs. The folders are named in the scheme "sandA_"Additive"_"SAC".
DOI: 10.57841/casdc.0006222
title: 二维材料摩擦性能数据集
DOI: 10.48372/nekw-7640
title: Artificial and natural water bodies in the Monti Affilani and nearby areas
DOI: 10.15468/dl.nxqbjm
title: Occurrence Download

description: A dataset containing 200 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Spiophanes tcherniai",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 200 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043979-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pthugf
title: Occurrence Download

description: A dataset containing 1732 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-100.770032 33.435033, -100.806613 33.485545, -100.871710 33.485545, -100.835105 33.435033, -100.770032 33.435033))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2015",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 1732 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043978-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57841/casdc.0006223
title: 材料耐磨寿命大于50000循环的相关数据
DOI: 10.6084/m9.figshare.30846768
title: Amyotrophic lateral sclerosis in Colombia: a population-based study of incidence and socioeconomic determinants

description: <i>Background and Objectives:</i> Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disorder with variable global incidence. In Latin America, limited population-level data hinder accurate burden estimation and public health planning. This study estimated ALS incidence in Colombia from 1984 to 2024, analyzing regional distribution patterns and the demographic and socioeconomic profiles of affected individuals. <i>Methods:</i> This cross-sectional, population-based study analyzed 2185 clinically confirmed ALS cases reported to the Colombian National Institute of Health. Diagnoses were established using El Escorial or Gold Coast criteria. Annual and cumulative incidence rates were estimated using national population data. Demographic, geographic, and socioeconomic variables were classified under international standards, and all statistical analyses were performed using Python (version 3.12). <i>Results:</i> A total of 2185 ALS cases diagnosed between 1984 and 2024 were included. For the most recent decade (2015–2024), the national cumulative incidence was 41.46 per million inhabitants, with a steady increase in annual incidence. Bogotá and Caldas showed the highest cumulative incidence, whereas Chocó and Casanare reported the lowest. The mean age at diagnosis was 59.9 years, with a slight male predominance (male-to-female ratio 1.11:1). Socioeconomic disparities were evident: 18.0% of patients had no formal education, and over 40% were economically inactive at diagnosis. <i>Conclusions:</i> ALS incidence in Colombia is lower than that reported in high-income regions, but shows pronounced geographic and socioeconomic heterogeneity. These findings underscore the need to strengthen diagnostic capacity, improve equitable access to neurology services, and advance research on environmental and genetic determinants of ALS in Latin America.
DOI: 10.6084/m9.figshare.30846768.v1
title: Amyotrophic lateral sclerosis in Colombia: a population-based study of incidence and socioeconomic determinants

description: <i>Background and Objectives:</i> Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disorder with variable global incidence. In Latin America, limited population-level data hinder accurate burden estimation and public health planning. This study estimated ALS incidence in Colombia from 1984 to 2024, analyzing regional distribution patterns and the demographic and socioeconomic profiles of affected individuals. <i>Methods:</i> This cross-sectional, population-based study analyzed 2185 clinically confirmed ALS cases reported to the Colombian National Institute of Health. Diagnoses were established using El Escorial or Gold Coast criteria. Annual and cumulative incidence rates were estimated using national population data. Demographic, geographic, and socioeconomic variables were classified under international standards, and all statistical analyses were performed using Python (version 3.12). <i>Results:</i> A total of 2185 ALS cases diagnosed between 1984 and 2024 were included. For the most recent decade (2015–2024), the national cumulative incidence was 41.46 per million inhabitants, with a steady increase in annual incidence. Bogotá and Caldas showed the highest cumulative incidence, whereas Chocó and Casanare reported the lowest. The mean age at diagnosis was 59.9 years, with a slight male predominance (male-to-female ratio 1.11:1). Socioeconomic disparities were evident: 18.0% of patients had no formal education, and over 40% were economically inactive at diagnosis. <i>Conclusions:</i> ALS incidence in Colombia is lower than that reported in high-income regions, but shows pronounced geographic and socioeconomic heterogeneity. These findings underscore the need to strengthen diagnostic capacity, improve equitable access to neurology services, and advance research on environmental and genetic determinants of ALS in Latin America.
DOI: 10.5255/ukda-sn-6675-17
title: Understanding Society: Waves 1-15, 2009-2024 and Harmonised BHPS: Waves 1-18, 1991-2009: Special Licence Access, Travel to Work Areas
title: Understanding Society, Waves 1-, 2008- : Safeguarded/Special Licence
title: United Kingdom Household Longitudinal Study; UKHLS

description: &lt;span style="font-style: italic;"&gt;Understanding Society&lt;/span&gt; (the UK Household Longitudinal Study), which began in 2009, is conducted by the Institute for Social and Economic Research (ISER) at the University of Essex, and the survey research organisations Verian Group (formerly Kantar Public) and NatCen. It builds on and incorporates, the British Household Panel Survey (BHPS), which began in 1991. 
&lt;p&gt;This dataset contains Travel to Work Areas (TTWA) geographic variables for each wave of Understanding Society and harmonised BHPS to date, and a household identification serial number for file matching to the main data.&lt;/p&gt;
&lt;p&gt;These data have more restrictive access conditions than those available under the standard End User Licence (see 'Access study data' for more information).&lt;/p&gt;
&lt;p&gt;Please see the Geographical Lookup Tables and Main Survey User Guide Geography documents for further details.&lt;/p&gt;
&lt;p&gt;&lt;b&gt;Latest Edition Information&lt;/b&gt;&lt;/p&gt;
&lt;p&gt;For the 17th edition (December 2025), Wave 15 data have been added, and the documentation has been updated.&lt;/p&gt;
&lt;p&gt;&lt;/p&gt;
DOI: 10.15468/dl.zm48g9
title: Occurrence Download

description: A dataset containing 27212 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Vitellaria paradoxa",
 "Continent is Africa"
 ]
}

 The dataset includes 27212 records from 140 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043981-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48804/cmhkop
title: Replication Data for: CovFUZZ: Coverage-based fuzzer for 4G&5G protocols
title: CovFuzz_EuroSP_2025

description: This repository provides the implementation (source code) of CovFuzz fuzzing framework and experimental results associated with the paper "CovFuzz: Coverage-based fuzzer for 4G&5G protocols", presented at EuroS&P 2025.
It provides everything needed to reproduce the results from the paper and to run fuzzing campaigns against both simulation-based and real (physical) 4G and 5G targets.
DOI: 10.5255/ukda-sn-6674-17
title: Understanding Society: Waves 1-15, 2009-2024 and Harmonised BHPS: Waves 1-18, 1991-2009: Special Licence Access, Census 2001 Output Area Classification
title: Understanding Society, Waves 1-, 2008- : Safeguarded/Special Licence
title: United Kingdom Household Longitudinal Study; UKHLS

description: &lt;span style="font-style: italic;"&gt;Understanding Society&lt;/span&gt; (the UK Household Longitudinal Study), which began in 2009, is conducted by the Institute for Social and Economic Research (ISER) at the University of Essex, and the survey research organisations Verian Group (formerly Kantar Public) and NatCen. It builds on and incorporates, the British Household Panel Survey (BHPS), which began in 1991. 
&lt;p&gt;This dataset contains Census 2001 Output Area Classification (OAC) geographic variables for each wave of Understanding Society and harmonised BHPS to date, and a household identification serial number for file matching to the main data.&lt;/p&gt;
&lt;p&gt;These data have more restrictive access conditions than those available under the standard End User Licence (see 'Access study data' for more information).&lt;/p&gt;
&lt;p&gt;Please see the Geographical Lookup Tables and Main Survey User Guide Geography documents for further details.&lt;/p&gt;
&lt;p&gt;&lt;b&gt;Latest Edition Information&lt;/b&gt;&lt;/p&gt;
&lt;p&gt;For the 17th edition (December 2025), Wave 15 data have been added, and the documentation has been updated.&lt;/p&gt;
&lt;span&gt;&lt;/span&gt;
&lt;p&gt;&lt;/p&gt;
DOI: 10.34808/t5qh-pf84
title: I am vs AI - the future belongs to agile mindsets. Human Intelligence, Agile vs Non-Agile Mindsets, AI Adoption, Critical Thinking as mediator

description: Recent academic discussions have highlighted the transformative role of artificial intelligence (AI) in the ever-changing business landscape. Agile mindsets (AM) are increasingly promoted as essential for adapting to change. Technology influences human attitudes. Equally important is the recognition that human mindsets shape technology and, consequently, influence its implementation. Therefore, the study's purpose, to which this dataset contributes, is to examine how leaders with agile and non-agile mindsets shape AI adoption. Furthermore, by emphasizing that artificial intelligence is shaped by human intelligence, the study highlights how fluid, crystallized, and emotional intelligence influence the adoption of both agile and non-agile mindsets toward AI through critical thinking. This research aims to clarify the importance of agile mindsets in a constantly changing business environment in the AI era. Structural equation modeling (SEM) is used to analyze human intelligence and AI adoption based on a sample of 637 managers collected in the DATASET (quantitative). Data collection took place in March 2025. 
Only adults participated in the study; their participation was voluntary, and their identities were fully protected. Informed consent was collected before data collection started.
DOI: 10.15468/dl.k838h5
title: Occurrence Download

description: A dataset containing 9743 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-105.625934 33.363539, -105.662197 33.411443, -105.723921 33.411443, -105.687636 33.363539, -105.625934 33.363539))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2015",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 9743 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043983-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6xbr2f
title: Occurrence Download

description: A dataset containing 420 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "TaxonKey is Quercus robur"
 ]
}

 The dataset includes 420 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043984-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30610631
title: Inclusive green growth of China’s economy and its influence factors

description: To evaluate the inclusiveness and greenness of China’s economic growth, we use the Generalized Bonferroni Curve including environmental costs to measure the level of inclusive green growth and the social green inclusion index (SGII). Additionally, we explore the factors influencing inclusive green growth using the panel data model. We found that: (1) at the national level, the GBC including environmental costs exhibited an upward shift during 2013–2017; (2) economic growth in urban areas is more inclusive and environmentally sustainable compared to rural areas; (3) factors such as economic growth, investment, fiscal support, energy consumption, forest coverage, and endowment insurance contribute to achieving more inclusive and sustainable economic growth. Conversely, financial development, technological innovation, and CO<sub>2</sub> emissions constrain inclusive green growth. This study provides novel methodological insights for measuring inclusive green growth and offers theoretical references for sustainable policy formulation.
DOI: 10.6084/m9.figshare.30610631.v1
title: Inclusive green growth of China’s economy and its influence factors

description: To evaluate the inclusiveness and greenness of China’s economic growth, we use the Generalized Bonferroni Curve including environmental costs to measure the level of inclusive green growth and the social green inclusion index (SGII). Additionally, we explore the factors influencing inclusive green growth using the panel data model. We found that: (1) at the national level, the GBC including environmental costs exhibited an upward shift during 2013–2017; (2) economic growth in urban areas is more inclusive and environmentally sustainable compared to rural areas; (3) factors such as economic growth, investment, fiscal support, energy consumption, forest coverage, and endowment insurance contribute to achieving more inclusive and sustainable economic growth. Conversely, financial development, technological innovation, and CO<sub>2</sub> emissions constrain inclusive green growth. This study provides novel methodological insights for measuring inclusive green growth and offers theoretical references for sustainable policy formulation.
DOI: 10.15468/dl.qhzmvy
title: Occurrence Download

description: A dataset containing 63 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Prionospio patagonica",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 63 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043982-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17868717
title: Dataset for Comparison of Immersion and Side Cooling Systems of Cylindrical Li-Ion Cells

description: The safety and durability of Li-ion batteries strongly depend on effective thermal management, especially under high C-rate operation. This work presents a comparative numerical investigation of immersion and side cooling applied to cylindrical 18650 cells. A transient three-dimensional model was developed for a series-connected pack of nine cells subjected to a 3.8 C discharge rate. The two cooling strategies were systematically assessed with respect to coolant flow rate, focusing on maximal temperature and temperature spread across the pack.The results show that both immersion and side cooling achieve nearly identical thermal performance in terms of maximal temperature and temperature spread. However, side cooling exhibits a higher pressure drop, whereas immersion cooling places stricter demands on sealing quality and the dielectric properties of the coolant. Overall, the study demonstrates that each method has specific trade-offs, and the optimal choice depends on the balance between thermal performance, hydraulic losses, and design complexity.This dataset includes data from the numerical computations of polymeric side- and immersion-cooling systems (maximal temperature, temperature spread, and pressure drop for various flow rates at a discharge current of 10 A). The necessary user-defined-function (UDF) code written in C and implemented in ANSYS Fluent for the heat-generation source term is provided in the dataset. The material database and computational domains are also included.
DOI: 10.5281/zenodo.17868718
title: Dataset for Comparison of Immersion and Side Cooling Systems of Cylindrical Li-Ion Cells

description: The safety and durability of Li-ion batteries strongly depend on effective thermal management, especially under high C-rate operation. This work presents a comparative numerical investigation of immersion and side cooling applied to cylindrical 18650 cells. A transient three-dimensional model was developed for a series-connected pack of nine cells subjected to a 3.8 C discharge rate. The two cooling strategies were systematically assessed with respect to coolant flow rate, focusing on maximal temperature and temperature spread across the pack.The results show that both immersion and side cooling achieve nearly identical thermal performance in terms of maximal temperature and temperature spread. However, side cooling exhibits a higher pressure drop, whereas immersion cooling places stricter demands on sealing quality and the dielectric properties of the coolant. Overall, the study demonstrates that each method has specific trade-offs, and the optimal choice depends on the balance between thermal performance, hydraulic losses, and design complexity.This dataset includes data from the numerical computations of polymeric side- and immersion-cooling systems (maximal temperature, temperature spread, and pressure drop for various flow rates at a discharge current of 10 A). The necessary user-defined-function (UDF) code written in C and implemented in ANSYS Fluent for the heat-generation source term is provided in the dataset. The material database and computational domains are also included.