cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10672433
title: ToPoRg-1342: dataset of single-chain radii of gyration for 1,342 topologically diverse coarse-grained polymers

description: This distribution provides access to 1,342 configurations of coarse-grained polymers. The data is provided as a serialized object using the `pickle' Python module and in csv format. The data was compiled using Python version 3.8. 

References

The specific applications and analyses of the data are described in 1.  Jiang, S.; Dieng, A.B.,; Webb, M.A. "Property-Guided Generation of Complex Polymer Topologies Using Variational Autoencoders"

DataThere is one .pickle file that contains a serialized Python object and one csv file. 

UsageTo access the data in the .pickle file, users must execute code analogous to the following:



    import pickle    with open('rg2.pickle', 'rb') as handle:        x, rg2, topo_desc, topo_class, poly_param, graph = [pickle.load(handle) for _ in range(6)]


where x are the graph node properties, rg2 are the squared radii of gyration, topo_desc are topological descriptors, topo_class are topology classes for polymers (i.e. linear, cyclic, star, branch, comb, and dendrimer), poly_param are the metadata for defining the unique graph generation process, graph are the raw graphs in networkx graph objects.

The csv file contains the SMILES string representations of each polymer graph, where each node is represented by carbon. The corresponding squared radius of gyration and topological descriptors are appended.

Help, Suggestions, Corrections?If you need help, have suggestions, identify issues, or have corrections, please send your comments to Shengli Jiang at sj0161@princeton.edu

GitHubAdditional data and code relevant for this study is additionally accessible at https://github.com/webbtheosim/poly-topoGNN-vae/
DOI: 10.5281/zenodo.10672434
title: ToPoRg-1342: dataset of single-chain radii of gyration for 1,342 topologically diverse coarse-grained polymers

description: This distribution provides access to 1,342 configurations of coarse-grained polymers. The data is provided as a serialized object using the `pickle' Python module and in csv format. The data was compiled using Python version 3.8. 

References

The specific applications and analyses of the data are described in 1.  Jiang, S.; Dieng, A.B.,; Webb, M.A. "Property-Guided Generation of Complex Polymer Topologies Using Variational Autoencoders"

DataThere is one .pickle file that contains a serialized Python object and one csv file. 

UsageTo access the data in the .pickle file, users must execute code analogous to the following:



    import pickle    with open('rg2.pickle', 'rb') as handle:        x, rg2, topo_desc, topo_class, poly_param, graph = [pickle.load(handle) for _ in range(6)]


where x are the graph node properties, rg2 are the squared radii of gyration, topo_desc are topological descriptors, topo_class are topology classes for polymers (i.e. linear, cyclic, star, branch, comb, and dendrimer), poly_param are the metadata for defining the unique graph generation process, graph are the raw graphs in networkx graph objects.

The csv file contains the SMILES string representations of each polymer graph, where each node is represented by carbon. The corresponding squared radius of gyration and topological descriptors are appended.

Help, Suggestions, Corrections?If you need help, have suggestions, identify issues, or have corrections, please send your comments to Shengli Jiang at sj0161@princeton.edu

GitHubAdditional data and code relevant for this study is additionally accessible at https://github.com/webbtheosim/poly-topoGNN-vae/
DOI: 10.5281/zenodo.18473755
title: ANALYSIS OF FOREIGN AND LOCAL EXPERIENCES IN THE FORMATION OF NATIONAL AND GENERAL CULTURAL COMPETENCIES

description: This article examines foreign and local experiences in the formation of national and general cultural competencies within the context of higher education. The study is grounded in contemporary pedagogical theories and focuses on competency-based education as a key framework for preparing future specialists in a globalized academic and professional environment. Particular attention is paid to the integration of national cultural values with generally accepted cultural norms, ensuring a balance between cultural identity and intercultural openness. The analysis highlights comparative approaches used in international educational systems alongside locally developed models, identifying their strengths, limitations, and applicability to national higher education contexts. On this basis, the article substantiates methodological approaches for developing cultural competencies among students, emphasizing learner-centered instruction, intercultural communication, reflective practices, and curriculum integration. The findings contribute to the theoretical enrichment of pedagogical science and provide practical recommendations for improving the effectiveness of cultural competence formation in higher education institutions, which is especially relevant for doctoral-level research in education.
DOI: 10.5281/zenodo.18473756
title: ANALYSIS OF FOREIGN AND LOCAL EXPERIENCES IN THE FORMATION OF NATIONAL AND GENERAL CULTURAL COMPETENCIES

description: This article examines foreign and local experiences in the formation of national and general cultural competencies within the context of higher education. The study is grounded in contemporary pedagogical theories and focuses on competency-based education as a key framework for preparing future specialists in a globalized academic and professional environment. Particular attention is paid to the integration of national cultural values with generally accepted cultural norms, ensuring a balance between cultural identity and intercultural openness. The analysis highlights comparative approaches used in international educational systems alongside locally developed models, identifying their strengths, limitations, and applicability to national higher education contexts. On this basis, the article substantiates methodological approaches for developing cultural competencies among students, emphasizing learner-centered instruction, intercultural communication, reflective practices, and curriculum integration. The findings contribute to the theoretical enrichment of pedagogical science and provide practical recommendations for improving the effectiveness of cultural competence formation in higher education institutions, which is especially relevant for doctoral-level research in education.
DOI: 10.15468/dl.sfhvsv
title: Occurrence Download

description: A dataset containing 197 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Viguiera tomentosa"
 ]
}

 The dataset includes 197 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010280-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.exrpjz
title: Occurrence Download

description: A dataset containing 107 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Vanilla hartii"
 ]
}

 The dataset includes 107 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010278-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18461204
title: Lunar eclipse luminosity and derived stratospheric aerosol optical depth (SAOD), 1750–2022

description: This dataset provides a continuous time series of lunar eclipse luminosity and derived stratospheric aerosol optical depth (SAOD) for the period 1750–2022. It updates and complements earlier compilations, incorporating newly identified sources and a consistent reassessment of historical observations.

The assessment was conducted by Lucas Boissel (Université Paris Cité) and Sébastien Guillet (University of Geneva) and is based on several hundred archival sources, including astronomical manuscripts, newspapers, scientific and amateur journals, and photographic material for the most recent period. 

The dataset is explicitly provided to support CMIP7 community assessments, particularly for the evaluation and intercomparison of new reconstructions of stratospheric aerosol optical depth and volcanic forcing.

For more information, we refer the user to the readme file that can be found in the Excel file entitled: "TLE_SAOD_Estimates_1750_2022_Boissel_Guillet_January_2026.xlsx"

For any questions related to the dataset or individual observations, the authors may be contacted at:l.boissel@hotmail.com; sebastien.guillet@unige.ch

Thank you very much ;-)
DOI: 10.5281/zenodo.18461205
title: Lunar eclipse luminosity and derived stratospheric aerosol optical depth (SAOD), 1750–2022

description: This dataset provides a continuous time series of lunar eclipse luminosity and derived stratospheric aerosol optical depth (SAOD) for the period 1750–2022. It updates and complements earlier compilations, incorporating newly identified sources and a consistent reassessment of historical observations.

The assessment was conducted by Lucas Boissel (Université Paris Cité) and Sébastien Guillet (University of Geneva) and is based on several hundred archival sources, including astronomical manuscripts, newspapers, scientific and amateur journals, and photographic material for the most recent period. 

The dataset is explicitly provided to support CMIP7 community assessments, particularly for the evaluation and intercomparison of new reconstructions of stratospheric aerosol optical depth and volcanic forcing.

For more information, we refer the user to the readme file that can be found in the Excel file entitled: "TLE_SAOD_Estimates_1750_2022_Boissel_Guillet_January_2026.xlsx"

For any questions related to the dataset or individual observations, the authors may be contacted at:l.boissel@hotmail.com; sebastien.guillet@unige.ch

Thank you very much ;-)
DOI: 10.15468/dl.ga6rzn
title: Occurrence Download

description: A dataset containing 27319 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Semibalanus balanoides",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 27319 records from 231 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010282-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18473276
title: SuperDARN data in netCDF format (2010-Nov)

description: 2010-Nov SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.


The RST is available here: https://github.com/SuperDARN/rst



The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation.
Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications.
A brief statement on how to acknowledge use of SuperDARN data is provided below.




Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication.
A listing of radars and PIs with contact information can be found here:
(SuperDARN Radar Overview)



Recommended form of acknowledgement for the use of SuperDARN data:



'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.6570567
title: SuperDARN data in netCDF format (2010-Nov)

description: 2010-Nov SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.


The RST is available here: https://github.com/SuperDARN/rst



The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation.
Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications.
A brief statement on how to acknowledge use of SuperDARN data is provided below.




Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication.
A listing of radars and PIs with contact information can be found here:
(SuperDARN Radar Overview)



Recommended form of acknowledgement for the use of SuperDARN data:



'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.15468/dl.566hz4
title: Occurrence Download

description: A dataset containing 62126930 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is one of (USA, CAN, GRL, ISL, PRT, ESP, AND, FRA, BEL, NLD, GBR, IRL, CHE, DEU, ITA, SVN, HRV, BIH, MNE, ALB, GRC, MKD, XKO, SRB, BGR, ROU, MDA, HUN, SVK, AUT, CZE, POL, LTU, BLR, UKR, LVA, EST, FIN, SWE, NOR, DNK, ALA, MLT, SJM)",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Saturniidae, Anthelidae, Apatelodidae, Bombycidae, Brahmaeidae, Carthaeidae, Endromidae, Eupterotidae, Phiditiidae, Sphingidae, Nymphalidae, Hesperiidae, Lycaenidae, Papilionidae, Pieridae, Riodinidae)",
 "Year 1925-2025"
 ]
}

 The dataset includes 62126930 records from 7950 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010229-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1210798.10fu
title: SH1210798.10FU

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/sh1210803.10fu
title: SH1210803.10FU

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/sh1210804.10fu
title: SH1210804.10FU

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/sh1210806.10fu
title: SH1210806.10FU

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/sh1210811.10fu
title: SH1210811.10FU

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/sh1210812.10fu
title: SH1210812.10FU

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/sh1210814.10fu
title: SH1210814.10FU

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/sh1210817.10fu
title: SH1210817.10FU

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.