cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.16962456
title: Data from "Bin Packing with Thresholds: Mathematical Models and Theoretical Results"

description: Data used in "Bin Packing with Thresholds: Mathematical Models and Theoretical Results"

Instance format is a follows:



Instance name : N{0}H{1}B{2}{3}-{4}.txt where:          - {0} = 50, 100, 200, 500, 750, 1000  (Number of items)          - {1} = 50, 100, 200, 500, 750, 1000  (Bin capacity)          - {2} = 5, 10, 20, 50, 100  (Expected number of items per bin)          - {3} = Rnd, Idc, Inv (type of thresholds, respectively: randomly assigned, identical, inverse)          - {4} = 0...4  (instance index)

First line (header) : C 1              where C is the bin capacity

Second line (header) : N            where N is number of items

One line per item as follows :  1 W T     where W is the item weight and T is the item thresholds
DOI: 10.5281/zenodo.17781295
title: Genome-wide DNA methylation data of plasma cell-free DNA from the MIMESIS-1 and MIMESIS-2 cohorts (METER study)

description: This repository contains DNA methylation call files (.cov and CpG_context) generated with Bismark (https://felixkrueger.github.io/Bismark/bismark/methylation_extraction/) from low-pass whole-genome bisulfite sequencing of plasma cell-free DNA from control individuals and breast cancer patients enrolled in the MIMESIS-1 and MIMESIS-2 cohorts, analyzed in the METER study. For control samples, Bismark-aligned BAM files are also provided.

CpG_context and .cov files are organized into multiple ZIP archives, while BAM files of control samples are provided as individual files.
DOI: 10.5281/zenodo.10964553
title: Genome-wide DNA methylation data of plasma cell-free DNA from the MIMESIS-1 and MIMESIS-2 cohorts (METER study)

description: This repository contains DNA methylation call files (.cov and CpG_context) generated with Bismark (https://felixkrueger.github.io/Bismark/bismark/methylation_extraction/) from low-pass whole-genome bisulfite sequencing of plasma cell-free DNA from control individuals and breast cancer patients enrolled in the MIMESIS-1 and MIMESIS-2 cohorts, analyzed in the METER study. For control samples, Bismark-aligned BAM files are also provided.

CpG_context and .cov files are organized into multiple ZIP archives, while BAM files of control samples are provided as individual files.
DOI: 10.15468/dl.sgq2ye
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Kazakhstan",
 "Geometry POLYGON((51.35277 37.24421,87.64723 37.24421,87.64723 51.75579,51.35277 51.75579,51.35277 37.24421))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ferula varia"
 ]
}

 The dataset includes 29 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012004-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vppm8h
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Filippovia knipovitchi",
 "HasCoordinate is true",
 "DecimalLatitude is greater than -90",
 "DecimalLatitude is less than 10",
 "DecimalLongitude is greater than -180",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1950",
 "Year is less than or equal to 2014"
 ]
}

 The dataset includes 25 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012002-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a55jpn
title: Occurrence Download

description: A dataset containing 12674 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is South America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Campephilus magellanicus",
 "Year 2000-2026"
 ]
}

 The dataset includes 12674 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012003-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/p16igd
title: Supplementary materials for the paper Towards a deeper understanding of information manipulation: Proposing a multilevel framework for the analysis of manipulative narratives

description: Coder comparison from the inter-coder reliability test (Appendix a) and the dataset used for coding frames and identifying information manipulation narratives, including archived website links (Appendix b).
DOI: 10.15468/jftz3v
title: A reassessment of combinations previously proposed or published for Kalanchoe subg. Alatae (Crassulaceae subfam. Kalanchooideae), and its valid publication at the rank of subgenus

description: This dataset contains the digitized treatments in Plazi based on the original journal article Smith, Gideon F. (2023): A reassessment of combinations previously proposed or published for Kalanchoe subg. Alatae (Crassulaceae subfam. Kalanchooideae), and its valid publication at the rank of subgenus. Phytotaxa 585 (1): 61-66, DOI: 10.11646/phytotaxa.585.1.7, URL: http://dx.doi.org/10.11646/phytotaxa.585.1.7AbstractArticle 35.2 of the Shenzhen Code requires that, for a combination to be validly published, authors of plant names must: “[…] definitely associate the final epithet with the name of the genus or species, or with its abbreviation […]”. Correct application of this Article indicates that neither “ Kalanchoe sect. Alatae ” nor “ Kalanchoe subg. Alatae ”, was validly published by, respectively, Raymond-Hamet in 1933 and Smith et al. in 2021. However, Kalanchoe sect. Alatae was validly published by Smith in 2021. The new status, at the rank of subgenus, Kalanchoe subg. Alatae, is validly published here.
DOI: 10.34740/kaggle/dsv/14623266
title: Trending Youtube Video Statistics (113 Countries)
DOI: 10.15468/dl.75r7qf
title: Occurrence Download

description: A dataset containing 2002 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "Geometry POLYGON((9.44031 42.01434,9.45822 41.99972,9.49655 42.03324,9.48253 42.05023,9.44031 42.01434))",
 "OccurrenceStatus is Present",
 "Year 2021-2026"
 ]
}

 The dataset includes 2002 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012000-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15454/inyuvz
title: Transposable element annotation of Arabidopsis lyrata subsp. lyrata

description: After running the TEdenovo, we got a filtered library (without the SSR consensus and without the unclassified consensus if they were generated with less than 10 HSPs). We have clustered this library and the cluster number is in the header of each consensus. After a first TEannot on this library, we filtered the consensus having at least one FLC (Full Length Copy). This library is inserted in RepetDB. We have launched a second TEannot on this library, and we have inserted the statistical data of this second annotation. Be careful, this TE library have not been manually curated. It is provided “as is”, i.e. a direct output of the REPET pipeline. Genome annotation files and TE consensus ID mapping between previous and new classification are available for download.
DOI: 10.5281/zenodo.18256142
title: Two-layered poly-L-lactide piezoresponsive structures
DOI: 10.5281/zenodo.18256141
title: Two-layered poly-L-lactide piezoresponsive structures
DOI: 10.6084/m9.figshare.31148824
title: raw data for the paper titled "Analysis of the Influencing Factors of Energy Service Companies' Green Technology Innovation Efficiency: Evidence from China"

description: This is the raw data for the paper titled "Analysis of the Influencing Factors of Energy Service Companies' Green Technology Innovation Efficiency: Evidence from China"
DOI: 10.6084/m9.figshare.31148824.v1
title: raw data for the paper titled "Analysis of the Influencing Factors of Energy Service Companies' Green Technology Innovation Efficiency: Evidence from China"

description: This is the raw data for the paper titled "Analysis of the Influencing Factors of Energy Service Companies' Green Technology Innovation Efficiency: Evidence from China"
DOI: 10.6084/m9.figshare.31148824.v2
title: raw data for the paper titled "Analysis of the Influencing Factors of Energy Service Companies' Green Technology Innovation Efficiency: Evidence from China"

description: This is the raw data for the paper titled "Analysis of the Influencing Factors of Energy Service Companies' Green Technology Innovation Efficiency: Evidence from China"
DOI: 10.5281/zenodo.15631288
title: Replication Package for Uncovering Routes to Psychological Ownership in Container Security
DOI: 10.5281/zenodo.18373933
title: Replication Package for Uncovering Routes to Psychological Ownership in Container Security
DOI: 10.5517/ccdc.csd.cc2q1kv6
title: CCDC 2503958: Experimental Crystal Structure Determination

description: Related Article: Jia-Pei Qiu, Ren-Feng Yang, Zi-Nan Chen, Xing-Feng Chen, Yonghong Xiao, Xiao-Hong Xiong, Xiao-Chun Huang|2026|Inorg.Chem.|||doi:10.1021/acs.inorgchem.5c05802
description: Related Article: Yonghong Xiao|2025|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.17026/dans-xcv-q8ey
title: Plangebied Mariëngaerde, gemeente Warmond

description: &lt;p&gt;onderzoeksrapport&lt;/p&gt;
DOI: 10.5281/zenodo.17599970
title: Reproducibility-Oriented Reporting Template for Life Cycle Assessment

description: This spreadsheet is a structured template based on a life cycle assessment reporting framework desgined to facilitate the documentation of all necessary elements to attain reproducibile models and results without requiring access to a model script or code.
DOI: 10.5281/zenodo.17599971
title: Life Cycle Assessment Reporting Template for Achieving Full Reproducibility

description: This spreadsheet is a structured template based on a reporting framework that supports reporting all necessary elements of a life cycle assessment and enables reproducibility of results without requiring access to the original model script or code.
DOI: 10.6084/m9.figshare.25507459
title: Transmission dynamics of dengue disease, awareness and control strategies

description: In today’s world one of the biggest matters of concern related to human health is dengue. Since its vaccine has not got the marketability yet, we have only a few accessible curatives for now. To tackle this, two things are important: controlling the Aedes mosquitoes that spread it and making people more aware how to protect themselves from mosquito bites. Here an SIR dengue transmission model with six compartments is introduced to understand how the virus moves between humans and mosquitoes. Three types of controls (aquatic, insecticide and awareness control) to mitigate mosquito populations and safeguard humans from the severity of dengue disease are addressed in the proposed model. Using next generation matrix approach, the basic reproduction number to the constructed model is calculated, and the presence of backward bifurcation is analysed. We explore optimal control strategies to manage medical costs and combat mosquito populations effectively. Numerical simulations are added to limn the approached thoughts and to support the considered assumptions. In a short period, awareness control and insecticide control effectively reduce the number of infected cases in both mosquito and human populations. However, achieving a permanent solution requires the successful collaboration of all three controls.
DOI: 10.6084/m9.figshare.25507459.v1
title: Transmission dynamics of dengue disease, awareness and control strategies

description: In today’s world one of the biggest matters of concern related to human health is dengue. Since its vaccine has not got the marketability yet, we have only a few accessible curatives for now. To tackle this, two things are important: controlling the Aedes mosquitoes that spread it and making people more aware how to protect themselves from mosquito bites. Here an SIR dengue transmission model with six compartments is introduced to understand how the virus moves between humans and mosquitoes. Three types of controls (aquatic, insecticide and awareness control) to mitigate mosquito populations and safeguard humans from the severity of dengue disease are addressed in the proposed model. Using next generation matrix approach, the basic reproduction number to the constructed model is calculated, and the presence of backward bifurcation is analysed. We explore optimal control strategies to manage medical costs and combat mosquito populations effectively. Numerical simulations are added to limn the approached thoughts and to support the considered assumptions. In a short period, awareness control and insecticide control effectively reduce the number of infected cases in both mosquito and human populations. However, achieving a permanent solution requires the successful collaboration of all three controls.
DOI: 10.6084/m9.figshare.25561421
title: A neural network approach to modeling magnetohydrodynamic stagnation point Ree-Eyring flow over a convectively heated stretched surface

description: This study investigates the application of artificial intelligence (AI) in fluid dynamics, mainly using a neural network trained by the Levenberg – Marquardt method (NN-BLMM), to model magnetohydrodynamic (MHD) stagnation point Ree – Eyring flow. We focus on this flow over a convectively heated stretched surface by integrating the Cattaneo – Christov heat model. The initial complex nonlinear partial differential equations (PDEs) are transformed into ordinary differential equations (ODEs) using suitable similarity variables. A dataset was generated using the Lobatto IIIA numerical solver to analyze the effects of various fluid flow and thermal parameters. The NN-BLMM model was then rigorously evaluated through training, testing, and validation phases and compared with reference data. This ensures the model’s precision and effectiveness. We observe that an increase in the Powell – Eyring fluid parameter notably reduces the fluid’s shear resistance, implying a decrease in viscosity. Concurrently, the heat transfer rate within the fluid medium increases with an increase in the internal heat generation parameter. These findings highlight the robustness of NN-BLMM in simulating complex fluid dynamics, emphasizing AI’s potential to provide a deeper understanding of non-Newtonian fluid behaviors. This research has important implications for industrial applications in which precise control over fluid properties and heat transfer is crucial.
DOI: 10.6084/m9.figshare.25561421.v1
title: A neural network approach to modeling magnetohydrodynamic stagnation point Ree-Eyring flow over a convectively heated stretched surface

description: This study investigates the application of artificial intelligence (AI) in fluid dynamics, mainly using a neural network trained by the Levenberg – Marquardt method (NN-BLMM), to model magnetohydrodynamic (MHD) stagnation point Ree – Eyring flow. We focus on this flow over a convectively heated stretched surface by integrating the Cattaneo – Christov heat model. The initial complex nonlinear partial differential equations (PDEs) are transformed into ordinary differential equations (ODEs) using suitable similarity variables. A dataset was generated using the Lobatto IIIA numerical solver to analyze the effects of various fluid flow and thermal parameters. The NN-BLMM model was then rigorously evaluated through training, testing, and validation phases and compared with reference data. This ensures the model’s precision and effectiveness. We observe that an increase in the Powell – Eyring fluid parameter notably reduces the fluid’s shear resistance, implying a decrease in viscosity. Concurrently, the heat transfer rate within the fluid medium increases with an increase in the internal heat generation parameter. These findings highlight the robustness of NN-BLMM in simulating complex fluid dynamics, emphasizing AI’s potential to provide a deeper understanding of non-Newtonian fluid behaviors. This research has important implications for industrial applications in which precise control over fluid properties and heat transfer is crucial.
DOI: 10.6084/m9.figshare.27013350
title: Mathematical modelling for viscoinelastic nanofluid flow over a stretching sheet with machine learning: an application to tissue adhesive

description: The medicated tissue adhesive on a stretching surface through Prandtl–Eyring nanofluid flow is emphasized in the current article to estimate the heat transfer rate and optimize the adhesion process. The effects of Brownian motion and thermophoresis on electrically conducting viscoinelastic nanofluid are taken into consideration with the sight of convective states. The modeled governing equations are nondimensionalized by operating similarity variables to stimulate the optimization process. The result of an executed model is solved scientifically by employing the NDSolve technique. The influence of various parameters on the fluid momentum, thermal, and concentration distributions is accentuated through graphs. Furthermore, the machine learning approach is enhanced to analyze the physical quantities of interest in the entire region. The outcomes are validated to those that have already been published in the pertinent area literature to determine the effectiveness of viscoinelastic nanofluid. The findings revealed that the Prandtl–Eyring fluid parameter enhances the momentum, while the Hartmann number indicates the reverse trend. In addition, it delivers that the proposed machine learning model is capable of forecasting the physical quantities with lower error (10−3) and is a powerful engineering tool that can be effectively employed in a viscoinelastic nanofluid.
DOI: 10.6084/m9.figshare.27013350.v1
title: Mathematical modelling for viscoinelastic nanofluid flow over a stretching sheet with machine learning: an application to tissue adhesive

description: The medicated tissue adhesive on a stretching surface through Prandtl–Eyring nanofluid flow is emphasized in the current article to estimate the heat transfer rate and optimize the adhesion process. The effects of Brownian motion and thermophoresis on electrically conducting viscoinelastic nanofluid are taken into consideration with the sight of convective states. The modeled governing equations are nondimensionalized by operating similarity variables to stimulate the optimization process. The result of an executed model is solved scientifically by employing the NDSolve technique. The influence of various parameters on the fluid momentum, thermal, and concentration distributions is accentuated through graphs. Furthermore, the machine learning approach is enhanced to analyze the physical quantities of interest in the entire region. The outcomes are validated to those that have already been published in the pertinent area literature to determine the effectiveness of viscoinelastic nanofluid. The findings revealed that the Prandtl–Eyring fluid parameter enhances the momentum, while the Hartmann number indicates the reverse trend. In addition, it delivers that the proposed machine learning model is capable of forecasting the physical quantities with lower error (10−3) and is a powerful engineering tool that can be effectively employed in a viscoinelastic nanofluid.
DOI: 10.6084/m9.figshare.27203549
title: Smoluchowski temperature and Maxwell velocity slip impacts on magneto-radiative <i>Fe</i><sub>3</sub><i>O</i><sub>4</sub>-<i>Al</i><sub>2</sub><i>O</i><sub>3</sub>-<i>Cu</i>/<i>H</i><sub>2</sub><i>O</i> tri-hybrid nanofluid flow over a shrinking surface with entropy generation: a stability performance

description: This investigation aims to find entropy production and to determine the existence of a dual solution in magnetohydrodynamic (MHD) thermal radiative tri-hybrid nanofluid flow over an exponentially shrinking surface by considering suction effects at the surface. Furthermore, the effects of Smoluchowski temperature and Maxwell velocity slip are considered. The products on various flow fields are examined for three different types of fluid: mono nanofluid (Fe3O4/H2O), hybrid nanofluid (Fe3O4-Al2O3/H2O), and tri-hybrid nanofluid (Fe3O4-Al2O3-Cu/H2O). The similarity transformation translates the nonlinear partial differential equations (PDEs) into a set of ordinary differential equations (ODEs). The numerical MATLAB function bvp4c is utilized to construct and solve governing higher-order nonlinear ODEs. A tabular and graphical analysis is conducted on the impact of emergent factors on velocity, temperature, skin friction coefficient, Nusselt number, and entropy generation. The acceptable parameter ranges for the computation are as follows: 0.01&lt;ϕ1&lt;0.1, 0.01&lt;ϕ2&lt;0.1, 0.01&lt;ϕ3&lt;0.1, −0.7&lt;ξ&lt;1.6, 2.0
DOI: 10.6084/m9.figshare.27203549.v1
title: Smoluchowski temperature and Maxwell velocity slip impacts on magneto-radiative <i>Fe</i><sub>3</sub><i>O</i><sub>4</sub>-<i>Al</i><sub>2</sub><i>O</i><sub>3</sub>-<i>Cu</i>/<i>H</i><sub>2</sub><i>O</i> tri-hybrid nanofluid flow over a shrinking surface with entropy generation: a stability performance

description: This investigation aims to find entropy production and to determine the existence of a dual solution in magnetohydrodynamic (MHD) thermal radiative tri-hybrid nanofluid flow over an exponentially shrinking surface by considering suction effects at the surface. Furthermore, the effects of Smoluchowski temperature and Maxwell velocity slip are considered. The products on various flow fields are examined for three different types of fluid: mono nanofluid (Fe3O4/H2O), hybrid nanofluid (Fe3O4-Al2O3/H2O), and tri-hybrid nanofluid (Fe3O4-Al2O3-Cu/H2O). The similarity transformation translates the nonlinear partial differential equations (PDEs) into a set of ordinary differential equations (ODEs). The numerical MATLAB function bvp4c is utilized to construct and solve governing higher-order nonlinear ODEs. A tabular and graphical analysis is conducted on the impact of emergent factors on velocity, temperature, skin friction coefficient, Nusselt number, and entropy generation. The acceptable parameter ranges for the computation are as follows: 0.01&lt;ϕ1&lt;0.1, 0.01&lt;ϕ2&lt;0.1, 0.01&lt;ϕ3&lt;0.1, −0.7&lt;ξ&lt;1.6, 2.0