cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15537235
title: Dataset for A semi-analytical solution for stresses and displacements in composite joints

description: This project contains supplemental data for the publication:



 Arne Schiller, Saullo G. P. Castro, Chiara Bisagni (2026). "A semi-analytical solution for stresses and displacements in composite joints". Submitted to Structures.


If you are interested in running the calculation for the semi-analytical solution discussed in the paper, download "SLS_Joint_Solution.mw".You can open and run the file with the software "Maple" (https://www.maplesoft.com/products/Maple/).The file is verified to run without errors in Maple 2024.In addition, a PDF version of the Maple file is availabe ("SLS_Joint_Solution.pdf").

The remaining dataset is split into five folders:

1. "Coefficient_Calculation" contains Maple files (.mw) that were used to determine the solution coefficients in Appendix A of the paper.2. "Coordinate_Transformation" contains a PowerPoint presentation (.pptx) that describes the difference between the coordinate system used in the model and those    typically employed in Classical Laminated Plate Theory (CLPT) and Abaqus3. "Finite_Element_Model" contains the Abaqus models that were used to verify the semi-analytical solution.    The folder features images of the models (.png files), a .cae file containing the models, as well as the corresponding input (.inp) and output (.odb) files.4. "Plotting_Code" contains the Python (.py) files that were used to create the plots in the paper. It also contains the data for the plots in .xslx files.5. "Stiffness_Calculation" contains the derivation and calculation of the stiffness parameters required in "SLS_Joint_Solution.mw".

Every folder contains an additional README file that describes the contents in the corresponding folder in more detail.

 

Data Structure

Dataset_A_Semi-analytical_Solution.zip

|README.txt|SLS_Joint_Solution.mw|SLS_Joint_Solution.pdf

|Coefficient_Calculation    ||01_Change_Of_Variables.mw    ||02_Eigenvalue_Problem.mw    ||03_Final_Solution.mw    ||04_Independent_Coefficients.mw    ||README.txt

|Coordinate_Transformation    ||Coordinate_Transformation.pptx    ||README.txt

|Finite_Element_Model    ||FE_2D_Lin.inp    ||FE_2D_Lin.odb    ||FE_2D_Lin.png    ||FE_3D_Lin.inp    ||FE_3D_Lin.odb    ||FE_3D_Lin.png    ||FE_Model_2D3D.cae    ||README.txt

|Plotting_Code    ||01_data_displ.xlsx    ||01_plot_displ.py    ||02_data_traction.xlsx    ||02_plot_traction.py    ||03_data_cohesivesurface.xlsx    ||03_plot_cohesive.py    ||04_data_assumptions.xlsx    ||04_plot_assumptions.py    ||05_data_resultants.xlsx    ||05_plot_resultants.py    ||README.txt

|Stiffness_Calculation    ||Stiffness_3D_ABD_Matrix.m    ||Stiffness_Reduced_ABD_Matrix.m    ||Stiffness_Reduced_Quasi_Plane_Strain.mw    ||README.txt
DOI: 10.5281/zenodo.15537236
title: Dataset for A semi-analytical solution for stresses and displacements in composite joints

description: This project contains supplemental data for the publication:



 Arne Schiller, Saullo G. P. Castro, Chiara Bisagni (2026). "A semi-analytical solution for stresses and displacements in composite joints". Submitted to Structures.


If you are interested in running the calculation for the semi-analytical solution discussed in the paper, download "SLS_Joint_Solution.mw".You can open and run the file with the software "Maple" (https://www.maplesoft.com/products/Maple/).The file is verified to run without errors in Maple 2024.In addition, a PDF version of the Maple file is availabe ("SLS_Joint_Solution.pdf").

The remaining dataset is split into five folders:

1. "Coefficient_Calculation" contains Maple files (.mw) that were used to determine the solution coefficients in Appendix A of the paper.2. "Coordinate_Transformation" contains a PowerPoint presentation (.pptx) that describes the difference between the coordinate system used in the model and those    typically employed in Classical Laminated Plate Theory (CLPT) and Abaqus3. "Finite_Element_Model" contains the Abaqus models that were used to verify the semi-analytical solution.    The folder features images of the models (.png files), a .cae file containing the models, as well as the corresponding input (.inp) and output (.odb) files.4. "Plotting_Code" contains the Python (.py) files that were used to create the plots in the paper. It also contains the data for the plots in .xslx files.5. "Stiffness_Calculation" contains the derivation and calculation of the stiffness parameters required in "SLS_Joint_Solution.mw".

Every folder contains an additional README file that describes the contents in the corresponding folder in more detail.

 

Data Structure

Dataset_A_Semi-analytical_Solution.zip

|README.txt|SLS_Joint_Solution.mw|SLS_Joint_Solution.pdf

|Coefficient_Calculation    ||01_Change_Of_Variables.mw    ||02_Eigenvalue_Problem.mw    ||03_Final_Solution.mw    ||04_Independent_Coefficients.mw    ||README.txt

|Coordinate_Transformation    ||Coordinate_Transformation.pptx    ||README.txt

|Finite_Element_Model    ||FE_2D_Lin.inp    ||FE_2D_Lin.odb    ||FE_2D_Lin.png    ||FE_3D_Lin.inp    ||FE_3D_Lin.odb    ||FE_3D_Lin.png    ||FE_Model_2D3D.cae    ||README.txt

|Plotting_Code    ||01_data_displ.xlsx    ||01_plot_displ.py    ||02_data_traction.xlsx    ||02_plot_traction.py    ||03_data_cohesivesurface.xlsx    ||03_plot_cohesive.py    ||04_data_assumptions.xlsx    ||04_plot_assumptions.py    ||05_data_resultants.xlsx    ||05_plot_resultants.py    ||README.txt

|Stiffness_Calculation    ||Stiffness_3D_ABD_Matrix.m    ||Stiffness_Reduced_ABD_Matrix.m    ||Stiffness_Reduced_Quasi_Plane_Strain.mw    ||README.txt
DOI: 10.15468/dl.u4g429
title: Occurrence Download

description: A dataset listing the 13009 species recorded in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Ericaceae"
 ]
}

 The dataset's 13009 records were derived from 4402 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002430-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0166603.10fu
title: SH0166603.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0166604.10fu
title: SH0166604.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0166605.10fu
title: SH0166605.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0166606.10fu
title: SH0166606.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0166607.10fu
title: SH0166607.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0166608.10fu
title: SH0166608.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0166609.10fu
title: SH0166609.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0166610.10fu
title: SH0166610.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0166611.10fu
title: SH0166611.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15468/dl.wcwonx
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029745-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.lcatdj
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0079649-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fs8daf
title: Occurrence Download

description: A dataset containing 274664240 species occurrences available in GBIF matching the query:
(Query is too complex. Can be viewed on the landing page)

 The dataset includes 274664240 records from 6953 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0110302-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8avms6
title: Occurrence Download

description: A dataset containing 564 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-78.53027 -4.65308,-65.96191 -4.65308,-65.96191 14.26438,-78.53027 14.26438,-78.53027 -4.65308))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Bothrops asper (Garman, 1883)"
 ]
}

 The dataset includes 564 records from 67 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0085092-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mvm882
title: Occurrence Download

description: A dataset containing 2549 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Türkiye",
 "Year 1890-1890"
 ]
}

 The dataset includes 2549 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074551-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3p4hct
title: Occurrence Download

description: A dataset containing 3843 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lagerstroemia indica L."
 ]
}

 The dataset includes 3843 records from 289 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068361-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ny2qbt
title: Occurrence Download

description: A dataset containing 1424 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Palicourea marcgravii A.St.-Hil."
 ]
}

 The dataset includes 1424 records from 73 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0087989-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.apazqx
title: Occurrence Download

description: A dataset containing 931 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "HasCoordinate is true",
 "TaxonKey is Juniperus flaccida Schltdl.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 931 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006166-181003121212138/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hu7rgr
title: Occurrence Download

description: A dataset containing 1432 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-9959.0",
 "Geometry POLYGON((-133.76953 54.31641,-131.7041 22.89551,-56.7334 23.20313,-57.12891 54.62402,-117.94922 54.53613,-131.66016 55.01953,-133.76953 55.01953,-133.76953 54.31641))",
 "TaxonKey is Centaurea solstitialis L."
 ]
}

 The dataset includes 1432 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0086367-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jxtpsw
title: Occurrence Download

description: A dataset containing 133604 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is BRA.9_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset includes 133604 records from 169 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0087997-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.npmise
title: Occurrence Download

description: A dataset containing 14573 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "Year 1806-2018",
 "HasCoordinate is true",
 "TaxonKey is Arctiidae",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 14573 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006169-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xwbc6u
title: Occurrence Download

description: A dataset containing 3567916 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Accipiter Brisson, 1760",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3567916 records from 795 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006169-180730143533302/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ljhvvk
title: Occurrence Download

description: A dataset containing 2354 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Fungi",
 "DecimalLatitude is greater than 31.8705681834481",
 "DecimalLatitude is less than 32.4280817551362",
 "DecimalLongitude is greater than -109.801383390652",
 "DecimalLongitude is less than -109.11177804469"
 ]
}

 The dataset includes 2354 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006169-180824113759888/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.