cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14734157
title: Survey data of a first feasibility study to foster urban residents' resonances with nature through rituals

description: In this dataset, we provide raw and processed data, study material and documentation of our feasibility study aiming to foster urban residents’ resonances with nature through rituals in a five-week-long panel study. The case study was conducted in Dresden from August 30 till October 8 2023.

In order to facilitate the realization of the study design by other institutions or private actors, the dataset includes first a postcard in pptx-format to promote the study and from which further promotion material can be created. We provide the audio manuals that were used for the implementation of the rituals for both the ritual and control group. Furthermore, we offer an evaluation framework for assessing socio-demographic data, changes throughout the different resonance dimensions (openness, value of Unverfügbarkeit, affect, response, transformation), effects on related aspects such as health or sense of social connectedness, the ecological footprint and possible open questions to assess and evaluate the feasibility study. To round it off, we provide raw survey data as well as preprocessed and analyzed data including results and data records of the intermediate steps of the analyzation conducted with IBM SPSS 28.

List of data, material and content (*.zip):



Promoting postcard (*.pptx) (artwork: IOER media)

Audio manual for ritual group (*.pdf)

Audio manual for control group (*.pdf)

Subsequent record of the introductory meeting (*.mp4)

Survey results for the final sample (*.xlsx)

Upload of qualitative data by participant (*.jpg)

Results of the statistical analyses (U-tests) to detect group-specific differences (e. g. level of openness, nature relatedness, mindful self-compassion) for the index variables; the tests were conducted with IBM SPSS Statistics 28 (*.xls)

Results of the statistical analyses (U-tests) to detect group-specific differences regarding the ecological carbon footprint; the tests were conducted with IBM SPSS Statistics 28 (*.xls)


For the revised version, we added: 



Informed consent declaration to participate and publish (*.pdf)


 

Note: All documents are accessible with open source software.

Data acquisition and processing

The methods are described in the accompanying research paper: https://link.springer.com/article/10.1007/s43621-025-01399-z.

 

Acknowledgments

The authors thank their student assistant Amanda Sydow for the support in editing the survey data as well as all participants for their intensive involvement in the feasibility study.

 

Notes

This dataset belongs to the following research paper: https://link.springer.com/article/10.1007/s43621-025-01399-z.
DOI: 10.5281/zenodo.11935062
title: Survey data of a first feasibility study to foster urban residents' resonances with nature through rituals

description: In this dataset, we provide raw and processed data, study material and documentation of our feasibility study aiming to foster urban residents’ resonances with nature through rituals in a five-week-long panel study. The case study was conducted in Dresden from August 30 till October 8 2023.

In order to facilitate the realization of the study design by other institutions or private actors, the dataset includes first a postcard in pptx-format to promote the study and from which further promotion material can be created. We provide the audio manuals that were used for the implementation of the rituals for both the ritual and control group. Furthermore, we offer an evaluation framework for assessing socio-demographic data, changes throughout the different resonance dimensions (openness, value of Unverfügbarkeit, affect, response, transformation), effects on related aspects such as health or sense of social connectedness, the ecological footprint and possible open questions to assess and evaluate the feasibility study. To round it off, we provide raw survey data as well as preprocessed and analyzed data including results and data records of the intermediate steps of the analyzation conducted with IBM SPSS 28.

List of data, material and content (*.zip):



Promoting postcard (*.pptx) (artwork: IOER media)

Audio manual for ritual group (*.pdf)

Audio manual for control group (*.pdf)

Subsequent record of the introductory meeting (*.mp4)

Survey results for the final sample (*.xlsx)

Upload of qualitative data by participant (*.jpg)

Results of the statistical analyses (U-tests) to detect group-specific differences (e. g. level of openness, nature relatedness, mindful self-compassion) for the index variables; the tests were conducted with IBM SPSS Statistics 28 (*.xls)

Results of the statistical analyses (U-tests) to detect group-specific differences regarding the ecological carbon footprint; the tests were conducted with IBM SPSS Statistics 28 (*.xls)


For the revised version, we added: 



Informed consent declaration to participate and publish (*.pdf)


 

Note: All documents are accessible with open source software.

Data acquisition and processing

The methods are described in the accompanying research paper: https://link.springer.com/article/10.1007/s43621-025-01399-z.

 

Acknowledgments

The authors thank their student assistant Amanda Sydow for the support in editing the survey data as well as all participants for their intensive involvement in the feasibility study.

 

Notes

This dataset belongs to the following research paper: https://link.springer.com/article/10.1007/s43621-025-01399-z.
DOI: 10.15156/bio/sh1655571.10fu
title: SH1655571.10FU

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: 10.5517/ccdc.csd.cc2dy9rf
title: CCDC 2232705: Experimental Crystal Structure Determination

description: Related Article: Xun Zhang, Xinyuan Zhao, Qi Zhang, Yaxi Wang, Siping Pang, Chunlin He
|2025|Energy Mater. Adv.||0196|doi:10.34133/energymatadv.0196
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.cc2dy9sg
title: CCDC 2232706: Experimental Crystal Structure Determination

description: Related Article: Xun Zhang, Xinyuan Zhao, Qi Zhang, Yaxi Wang, Siping Pang, Chunlin He
|2025|Energy Mater. Adv.||0196|doi:10.34133/energymatadv.0196
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: 10.15156/bio/sh1655735.10fu
title: SH1655735.10FU

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: 10.5517/ccdc.csd.cc2q2pfy
title: CCDC 2505030: Experimental Crystal Structure Determination

description: Related Article: Ting-Ting Miao, Rong-Bin Liang, Xi Wang, Yonghong Xiao, Qing-Xiao Tong, Jian-Ji Zhong|2025|Org.Lett.|||doi:10.1021/acs.orglett.5c04919
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: 10.15156/bio/sh1657703.10fu
title: SH1657703.10FU

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: 10.3886/e243854
title: NNDSS - TABLE 1K. Ehrlichiosis and Anaplasmosis, Anaplasma phagocytophilum infection to Ehrlichia chaffeensis infection

description: NNDSS - TABLE 1K. Ehrlichiosis and Anaplasmosis, Anaplasma phagocytophilum infection to Ehrlichia chaffeensis infection - 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Note:
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html.

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).
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description: (Downloaded 1/12/2026)
DOI: 10.5517/ccdc.csd.cc2qlrx0
title: CCDC 2520483: Experimental Crystal Structure Determination

description: Related Article: Michael Bolte|2026|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: 10.5517/ccdc.csd.cc2qls04
title: CCDC 2520486: Experimental Crystal Structure Determination

description: Related Article: Michael Bolte|2026|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: 10.15156/bio/sh1657748.10fu
title: SH1657748.10FU

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: 10.3886/e243854v1
title: NNDSS - TABLE 1K. Ehrlichiosis and Anaplasmosis, Anaplasma phagocytophilum infection to Ehrlichia chaffeensis infection

description: NNDSS - TABLE 1K. Ehrlichiosis and Anaplasmosis, Anaplasma phagocytophilum infection to Ehrlichia chaffeensis infection - 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Note:
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html.

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).
Read less
description: (Downloaded 1/12/2026)
DOI: 10.5517/ccdc.csd.cc2qls15
title: CCDC 2520487: Experimental Crystal Structure Determination

description: Related Article: Michael Bolte|2026|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: 10.5517/ccdc.csd.cc2qls26
title: CCDC 2520488: Experimental Crystal Structure Determination

description: Related Article: Michael Bolte|2026|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: 10.15156/bio/sh1658412.10fu
title: SH1658412.10FU

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: 10.5517/ccdc.csd.cc2qls37
title: CCDC 2520489: Experimental Crystal Structure Determination

description: Related Article: Michael Bolte|2026|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: 10.5517/ccdc.csd.cc2qls48
title: CCDC 2520490: Experimental Crystal Structure Determination

description: Related Article: Michael Bolte|2026|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: 10.15156/bio/sh1658462.10fu
title: SH1658462.10FU

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: 10.5517/ccdc.csd.cc2qls59
title: CCDC 2520491: Experimental Crystal Structure Determination

description: Related Article: Michael Bolte|2026|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.