cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14231614
title: Dataset related to article: BIOINFORMATICS TOOLS FOR NGS-BASED IDENTIFICATION OF SINGLE NUCLEOTIDE VARIANTS AND LARGE-SCALE REARRANGEMENTS IN MITOCHONDRIAL DNA

description: The database includes detailed results for both mtDNA bioinformatics tools described in the manuscript, focusing on the samples analyzed in our study.The MitoSAlt folder contains reports in tsv format, while Mitopore folder provides comprehensive information on the variant calls of interest, presented as tables and plots.
DOI: 10.5281/zenodo.14231615
title: Dataset related to article: BIOINFORMATICS TOOLS FOR NGS-BASED IDENTIFICATION OF SINGLE NUCLEOTIDE VARIANTS AND LARGE-SCALE REARRANGEMENTS IN MITOCHONDRIAL DNA

description: The database includes detailed results for both mtDNA bioinformatics tools described in the manuscript, focusing on the samples analyzed in our study.The MitoSAlt folder contains reports in tsv format, while Mitopore folder provides comprehensive information on the variant calls of interest, presented as tables and plots.
DOI: 10.14278/rodare.3144
title: Contribution to the recyclability assessment of multi-material structures with a focus on shredding (Data)

description: The repository contains selected data of the dissertation:

Title: <strong>Contribution to the recyclability assessment of multi-material structures with a focus on shredding</strong>

Author: <strong>M.Eng. Magdalena Heibeck</strong>

Faculty: <strong>Faculty of Mechanical Science and Engineering of the TUD Dresden University of Technology</strong>

Year: <strong>2024</strong>

The repository contains zipped folders with selected data from the investigations discussed in thesis chapters (ch) 3, 4, and 5. It contains the following datasets, metadata, and scripts related to the research. More information is provided through README.txt files within the folders.

<strong>Experimental data for the shredding of profile and plate specimens</strong> (folders: ch3_profile_exp, ch5_plates_exp):


 Feed characterization: photographs, mass, main dimensions of specimens
 Shredding process evaluation:
 
 Videos and screenshots of the shredding process, along with derived process descriptors (e.g., specimen orientation, number of rotor disks engaged)
 Rotor moments of the shredder, including calculated specific mechanical energy consumption
 
 
 Fragment characterization: photographs, 2D image analysis to determine fragment sizes, fragment properties (mass, material composition, liberation degree, size, final joint state, fracture phenomena, form-locks)


<strong>Simulation data for the shredding of profile and plate specimens</strong> (folders: ch4_profile_sim, ch5_plates_sim):


 Ansys LS-DYNA input files: .k-files including geometry meshes (rotary shredder, specimen geometries, constraint boxes), boundary conditions (initial position and orientation of specimen, rotor angles), material models (steel, organosheet, rib structure), and tiebreak contact parameters for adhesion joints
 Shredding process evaluation (refer to the experimental section)
 Fragment characterization: .stl-files of fragments, fragment properties (refer to the experimental section)


<strong>Scripts:</strong>


 to characterize simulated fragments from .stl-files
 to read temporal simulation data from .binout-files
DOI: 10.14278/rodare.3145
title: Contribution to the recyclability assessment of multi-material structures with a focus on shredding (Data)

description: The repository contains selected data of the dissertation:

Title: <strong>Contribution to the recyclability assessment of multi-material structures with a focus on shredding</strong>

Author: <strong>M.Eng. Magdalena Heibeck</strong>

Faculty: <strong>Faculty of Mechanical Science and Engineering of the TUD Dresden University of Technology</strong>

Year: <strong>2024</strong>

The repository contains zipped folders with selected data from the investigations discussed in thesis chapters (ch) 3, 4, and 5. It contains the following datasets, metadata, and scripts related to the research. More information is provided through README.txt files within the folders.

<strong>Experimental data for the shredding of profile and plate specimens</strong> (folders: ch3_profile_exp, ch5_plates_exp):


 Feed characterization: photographs, mass, main dimensions of specimens
 Shredding process evaluation:
 
 Videos and screenshots of the shredding process, along with derived process descriptors (e.g., specimen orientation, number of rotor disks engaged)
 Rotor moments of the shredder, including calculated specific mechanical energy consumption
 
 
 Fragment characterization: photographs, 2D image analysis to determine fragment sizes, fragment properties (mass, material composition, liberation degree, size, final joint state, fracture phenomena, form-locks)


<strong>Simulation data for the shredding of profile and plate specimens</strong> (folders: ch4_profile_sim, ch5_plates_sim):


 Ansys LS-DYNA input files: .k-files including geometry meshes (rotary shredder, specimen geometries, constraint boxes), boundary conditions (initial position and orientation of specimen, rotor angles), material models (steel, organosheet, rib structure), and tiebreak contact parameters for adhesion joints
 Shredding process evaluation (refer to the experimental section)
 Fragment characterization: .stl-files of fragments, fragment properties (refer to the experimental section)


<strong>Scripts:</strong>


 to characterize simulated fragments from .stl-files
 to read temporal simulation data from .binout-files
DOI: 10.5517/ccdc.csd.cc2fm2w1
title: CCDC 2252673: Experimental Crystal Structure Determination

description: Related Article: Ramakant Gavale, Siddharth Singh, Anupama Ekbote, Hem Chandra Jha, Rajneesh Misra|2025|J.Mater.Chem.B|13|2834|doi:10.1039/D4TB02408G
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: 10.5517/ccdc.csd.cc2kwg97
title: CCDC 2379879: Experimental Crystal Structure Determination

description: Related Article: Nizami Israfilov, Nathalie Kyritsakas, Abdelaziz Jouaiti, Sylvie Ferlay|2025|CrystEngComm|27|1206|doi:10.1039/D4CE01201A
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: 10.5517/ccdc.csd.cc2l0qkx
title: CCDC 2383979: Experimental Crystal Structure Determination

description: Related Article: Nizami Israfilov, Nathalie Kyritsakas, Abdelaziz Jouaiti, Sylvie Ferlay|2025|CrystEngComm|27|1206|doi:10.1039/D4CE01201A
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: 10.5517/ccdc.csd.cc2ktr7d
title: CCDC 2378234: Experimental Crystal Structure Determination

description: Related Article: Hongxu Chen, Wenqian Cao, Yuanjing Cui, Guodong Qian, Zhengluan Liao|2025|Inorg.Chem.|64|2529|doi:10.1021/acs.inorgchem.4c05171
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: 10.17028/rd.lboro.28457660
title: Supplementary information files for "Will It Be Different If I Give It Another Name? Methodologic Notes from Research with Riverside Communities in the Amazon Forest (Brazil and Ecuador)"

description: Supplementary files for article "Will it be different if I give it another name? methodologic notes from research with riverside communities in the amazon forest (Brazil and Ecuador)"What makes a piece of research decolonial? Do participatory or co-creative approaches make research participatory and co-creative? These reflections are raised in this article, which looks back at methodological choices made and adapted during a three-year study with riverside communities in the Amazon Forest, in Ecuador and Brazil. Originally designed as grounded research, the project was seriously impacted by restrictions imposed by the global Covid-19pandemic and, in addition in the Brazilian case, by political issues arising during the 2022 national presidential elections. This article discusses how these unexpected limitations influenced the field-work approach and the resulting answers will be presented as a pedagogy of listening, inspired by the work of Paulo Freire. The recognition and experience of limitations triggered a reflection about disruptive theoretical frameworks and methods. Instead of advocating one precise method, this article advances the relevance of a trans-methodological approach that allows the emergence of new –and/or disruptive – knowledge.©The Authors, CC BY 4.0
DOI: 10.17028/rd.lboro.28457660.v1
title: Supplementary information files for "Will It Be Different If I Give It Another Name? Methodologic Notes from Research with Riverside Communities in the Amazon Forest (Brazil and Ecuador)"

description: Supplementary files for article "Will it be different if I give it another name? methodologic notes from research with riverside communities in the amazon forest (Brazil and Ecuador)"What makes a piece of research decolonial? Do participatory or co-creative approaches make research participatory and co-creative? These reflections are raised in this article, which looks back at methodological choices made and adapted during a three-year study with riverside communities in the Amazon Forest, in Ecuador and Brazil. Originally designed as grounded research, the project was seriously impacted by restrictions imposed by the global Covid-19pandemic and, in addition in the Brazilian case, by political issues arising during the 2022 national presidential elections. This article discusses how these unexpected limitations influenced the field-work approach and the resulting answers will be presented as a pedagogy of listening, inspired by the work of Paulo Freire. The recognition and experience of limitations triggered a reflection about disruptive theoretical frameworks and methods. Instead of advocating one precise method, this article advances the relevance of a trans-methodological approach that allows the emergence of new –and/or disruptive – knowledge.©The Authors, CC BY 4.0
DOI: 10.5281/zenodo.13163834
title: Increasing Contribution of Adolescent Type 1 Diabetes Drives Incidence Rates in Poland - a 40-year-long Observational Study

description: Aims/hypothesis: 40-year-long longitudinal observation of long-term trends of type 1 diabetes incidence and prevalence in children in Central Poland  




Methods: This was a prospective observational study performed by a reference regional center for pediatric diabetes care for Lodz Province (currently 2·4M inhabitants, 360K children). We registered each case of new-onset type 1 diabetes admitted to regional pediatric diabetes centers between the years 1983 and 2022 in children between 0 and 14 y.o. The diagnosis was based on currently available guidelines. Cases of other types of diabetes (e.g., monogenic) were excluded upon identification from incidence and prevalence rates. Yearly data on the at-risk population were acquired from Poland`s General Statistical Office. Sex-specific data on population structure were available from 1989 onwards.  




Results: In the analyzed period, the incidence rate of type 1 diabetes increased tenfold from 3·29/100,000 (95%CI: 1·85-4·73) in 1983 to 32.43 (26·42-38·44) in 2022, with an average annual percentage change of 5·73% (95%CI: 4·99%-6·44%). Joinpoint analysis detected two distinct periods of increase: rapid in 1983-2005 (annual percentage increase of 7·38%, 95%CI: 6·30-10·52%) and a slower one in 2005-2022 (3·65%, 95%CI: -0·86-5·13%). Incidence rates among the youngest children (0-4 y.o.) were significantly lower than in 5-9 y.o. (β±SE: -0·567±0·059, p<0·0001) and 10-14 y.o. (β±SE: -0·520±0·060, p<0·0001). The incidence growth dynamic for the two older groups showed a consistent increase, whereas the incidence in 0-4 year-olds plateaued after 2007. Incidence rates varied seasonally, with the most cases diagnosed during the winter months (December, January, and February; mean difference from remaining seasons of 29±11·6 percentage points, p<0·0001). Corresponding with increasing incidence rate, estimated prevalence of type 1 diabetes increased over the years and reached 177·21/100,000 (95%CI: 163·18-191·24) for children 0-14 y.o., and  17·11 (95%CI: 9·2-25·02), 190·54 (95%CI: 165·03-215·75), 238·73 (95%CI: 211·7-265·76) for 0-4, 5-9, and 10-14 y.o., respectively. 




Conclusion/interpretation: Over the past 40 years, the incidence of type 1 diabetes in children in Central Poland has increased significantly, but the rate of increase appears to be slowing. As majority of patients with type 1 diabetes are 10 years old or older, with the most new cases occurring in that age group the healthcare systems should prepare for care of young adults who are extensive users of new diabetes technologies.
DOI: 10.5281/zenodo.13163835
title: Increasing Contribution of Adolescent Type 1 Diabetes Drives Incidence Rates in Poland - a 40-year-long Observational Study

description: Aims/hypothesis: 40-year-long longitudinal observation of long-term trends of type 1 diabetes incidence and prevalence in children in Central Poland  




Methods: This was a prospective observational study performed by a reference regional center for pediatric diabetes care for Lodz Province (currently 2·4M inhabitants, 360K children). We registered each case of new-onset type 1 diabetes admitted to regional pediatric diabetes centers between the years 1983 and 2022 in children between 0 and 14 y.o. The diagnosis was based on currently available guidelines. Cases of other types of diabetes (e.g., monogenic) were excluded upon identification from incidence and prevalence rates. Yearly data on the at-risk population were acquired from Poland`s General Statistical Office. Sex-specific data on population structure were available from 1989 onwards.  




Results: In the analyzed period, the incidence rate of type 1 diabetes increased tenfold from 3·29/100,000 (95%CI: 1·85-4·73) in 1983 to 32.43 (26·42-38·44) in 2022, with an average annual percentage change of 5·73% (95%CI: 4·99%-6·44%). Joinpoint analysis detected two distinct periods of increase: rapid in 1983-2005 (annual percentage increase of 7·38%, 95%CI: 6·30-10·52%) and a slower one in 2005-2022 (3·65%, 95%CI: -0·86-5·13%). Incidence rates among the youngest children (0-4 y.o.) were significantly lower than in 5-9 y.o. (β±SE: -0·567±0·059, p<0·0001) and 10-14 y.o. (β±SE: -0·520±0·060, p<0·0001). The incidence growth dynamic for the two older groups showed a consistent increase, whereas the incidence in 0-4 year-olds plateaued after 2007. Incidence rates varied seasonally, with the most cases diagnosed during the winter months (December, January, and February; mean difference from remaining seasons of 29±11·6 percentage points, p<0·0001). Corresponding with increasing incidence rate, estimated prevalence of type 1 diabetes increased over the years and reached 177·21/100,000 (95%CI: 163·18-191·24) for children 0-14 y.o., and  17·11 (95%CI: 9·2-25·02), 190·54 (95%CI: 165·03-215·75), 238·73 (95%CI: 211·7-265·76) for 0-4, 5-9, and 10-14 y.o., respectively. 




Conclusion/interpretation: Over the past 40 years, the incidence of type 1 diabetes in children in Central Poland has increased significantly, but the rate of increase appears to be slowing. As majority of patients with type 1 diabetes are 10 years old or older, with the most new cases occurring in that age group the healthcare systems should prepare for care of young adults who are extensive users of new diabetes technologies.
DOI: 10.5281/zenodo.14905878
title: Increasing Contribution of Adolescent Type 1 Diabetes Drives Incidence Rates in Poland - a 40-year-long Observational Study

description: Aims/hypothesis: 40-year-long longitudinal observation of long-term trends of type 1 diabetes incidence and prevalence in children in Central Poland  




Methods: This was a prospective observational study performed by a reference regional center for pediatric diabetes care for Lodz Province (currently 2·4M inhabitants, 360K children). We registered each case of new-onset type 1 diabetes admitted to regional pediatric diabetes centers between the years 1983 and 2022 in children between 0 and 14 y.o. The diagnosis was based on currently available guidelines. Cases of other types of diabetes (e.g., monogenic) were excluded upon identification from incidence and prevalence rates. Yearly data on the at-risk population were acquired from Poland`s General Statistical Office. Sex-specific data on population structure were available from 1989 onwards.  




Results: In the analyzed period, the incidence rate of type 1 diabetes increased tenfold from 3·29/100,000 (95%CI: 1·85-4·73) in 1983 to 32.43 (26·42-38·44) in 2022, with an average annual percentage change of 5·73% (95%CI: 4·99%-6·44%). Joinpoint analysis detected two distinct periods of increase: rapid in 1983-2005 (annual percentage increase of 7·38%, 95%CI: 6·30-10·52%) and a slower one in 2005-2022 (3·65%, 95%CI: -0·86-5·13%). Incidence rates among the youngest children (0-4 y.o.) were significantly lower than in 5-9 y.o. (β±SE: -0·567±0·059, p<0·0001) and 10-14 y.o. (β±SE: -0·520±0·060, p<0·0001). The incidence growth dynamic for the two older groups showed a consistent increase, whereas the incidence in 0-4 year-olds plateaued after 2007. Incidence rates varied seasonally, with the most cases diagnosed during the winter months (December, January, and February; mean difference from remaining seasons of 29±11·6 percentage points, p<0·0001). Corresponding with increasing incidence rate, estimated prevalence of type 1 diabetes increased over the years and reached 177·21/100,000 (95%CI: 163·18-191·24) for children 0-14 y.o., and  17·11 (95%CI: 9·2-25·02), 190·54 (95%CI: 165·03-215·75), 238·73 (95%CI: 211·7-265·76) for 0-4, 5-9, and 10-14 y.o., respectively. 




Conclusion/interpretation: Over the past 40 years, the incidence of type 1 diabetes in children in Central Poland has increased significantly, but the rate of increase appears to be slowing. As majority of patients with type 1 diabetes are 10 years old or older, with the most new cases occurring in that age group the healthcare systems should prepare for care of young adults who are extensive users of new diabetes technologies.
DOI: 10.5281/zenodo.14905811
title: AMPERE Summary Plot Movies (2017-Jul)

description: 2017-Jul AMPERE summary plot movies. See included zenodo_summary_plot_movie_description document for details.
DOI: 10.5281/zenodo.14905812
title: AMPERE Summary Plot Movies (2017-Jul)

description: 2017-Jul AMPERE summary plot movies. See included zenodo_summary_plot_movie_description document for details.
DOI: 10.15156/bio/sh0211100.10fu
title: SH0211100.10FU

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/sh0211101.10fu
title: SH0211101.10FU

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/sh0211102.10fu
title: SH0211102.10FU

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/sh0211103.10fu
title: SH0211103.10FU

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.