cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.25102082.v1
title: Metadata and OTU table for Slovenian meadow samples

description: The ecological impacts of long-term (press) disturbance on mechanisms regulating the relative abundance (i.e. commonness or rarity) and temporal dynamics of species within a community remains largely unknown. This is particularly true for the functionally important arbuscular mycorrhizal (AM) fungi; obligate plant-root endosymbionts that colonise more than two-thirds of terrestrial plant species. Here we use high-resolution amplicon sequencing to examine how AM fungal communities in a specific extreme ecosystem – mofettes or natural CO<sub>2</sub>springs caused by geological CO<sub>2</sub>exhalations – are affected by long-term stress. We found that in mofettes, specific and temporally stable communities form as a subset of the local metacommunity. These communities are less diverse and dominated by adapted, ‘stress tolerant’ taxa. Those taxa are rare in control locations and more benign environments worldwide, but show a stable temporal pattern in the extreme sites, consistently dominating the communities in grassland mofettes. This pattern of lower diversity and high dominance of specific taxa has been confirmed as relatively stable over several sampling years and is independently observed across multiple geographic locations (mofettes in different countries). This study implies that the response of soil microbial community composition to long-term stress is relatively predictable, which can reflect also the community response to other anthropogenic stressors (e.g. heavy metal pollution or land use change). Moreover, as AM fungi are functionally differentiated, with different taxa providing different benefits to host plants, changes in community structure in response to long-term environmental change have the potential to impact terrestrial plant communities and their productivity.<br><b>IMPORTANCE</b>Arbuscular mycorrhizal (AM) fungi form symbiotic relationships with more than two-thirds of plant species. In return for using plant carbon as their sole energy source, AM fungi improve plant mineral supply, water balance, and protection against pathogens. This work demonstrates the importance of long-term experiments to understand the effects of long-term environmental change and long-term disturbance on terrestrial ecosystems. We demonstrated a consistent response of the AM fungal community to a long-term stress, with lower diversity and a less variable AM fungal community over time under stress conditions compared to the surrounding controls. We have also identified, for the first time, a suite of AM fungal taxa that are consistently observed across broad geographic scales in stressed and anthropogenically heavily influenced ecosystems. This is critical because global environmental change in terrestrial ecosystems requires an integrative approach that considers both above- and below-ground changes and examines patterns over a longer geographic and temporal scale, rather than just single sampling events.
DOI: 10.6084/m9.figshare.25102094
title: Normalised OTU table and sample metadata for all AMF communities.

description: The ecological impacts of long-term (press) disturbance on mechanisms regulating the relative abundance (i.e. commonness or rarity) and temporal dynamics of species within a community remains largely unknown. This is particularly true for the functionally important arbuscular mycorrhizal (AM) fungi; obligate plant-root endosymbionts that colonise more than two-thirds of terrestrial plant species. Here we use high-resolution amplicon sequencing to examine how AM fungal communities in a specific extreme ecosystem – mofettes or natural CO<sub>2</sub>springs caused by geological CO<sub>2</sub>exhalations – are affected by long-term stress. We found that in mofettes, specific and temporally stable communities form as a subset of the local metacommunity. These communities are less diverse and dominated by adapted, ‘stress tolerant’ taxa. Those taxa are rare in control locations and more benign environments worldwide, but show a stable temporal pattern in the extreme sites, consistently dominating the communities in grassland mofettes. This pattern of lower diversity and high dominance of specific taxa has been confirmed as relatively stable over several sampling years and is independently observed across multiple geographic locations (mofettes in different countries). This study implies that the response of soil microbial community composition to long-term stress is relatively predictable, which can reflect also the community response to other anthropogenic stressors (e.g. heavy metal pollution or land use change). Moreover, as AM fungi are functionally differentiated, with different taxa providing different benefits to host plants, changes in community structure in response to long-term environmental change have the potential to impact terrestrial plant communities and their productivity.
DOI: 10.6084/m9.figshare.25102094.v1
title: Normalised OTU table and sample metadata for all AMF communities.

description: The ecological impacts of long-term (press) disturbance on mechanisms regulating the relative abundance (i.e. commonness or rarity) and temporal dynamics of species within a community remains largely unknown. This is particularly true for the functionally important arbuscular mycorrhizal (AM) fungi; obligate plant-root endosymbionts that colonise more than two-thirds of terrestrial plant species. Here we use high-resolution amplicon sequencing to examine how AM fungal communities in a specific extreme ecosystem – mofettes or natural CO<sub>2</sub>springs caused by geological CO<sub>2</sub>exhalations – are affected by long-term stress. We found that in mofettes, specific and temporally stable communities form as a subset of the local metacommunity. These communities are less diverse and dominated by adapted, ‘stress tolerant’ taxa. Those taxa are rare in control locations and more benign environments worldwide, but show a stable temporal pattern in the extreme sites, consistently dominating the communities in grassland mofettes. This pattern of lower diversity and high dominance of specific taxa has been confirmed as relatively stable over several sampling years and is independently observed across multiple geographic locations (mofettes in different countries). This study implies that the response of soil microbial community composition to long-term stress is relatively predictable, which can reflect also the community response to other anthropogenic stressors (e.g. heavy metal pollution or land use change). Moreover, as AM fungi are functionally differentiated, with different taxa providing different benefits to host plants, changes in community structure in response to long-term environmental change have the potential to impact terrestrial plant communities and their productivity.
DOI: 10.6084/m9.figshare.25102106
title: Slovenian meadow OTU tables converted to proportional abundance and sample metadata.

description: The ecological impacts of long-term (press) disturbance on mechanisms regulating the relative abundance (i.e. commonness or rarity) and temporal dynamics of species within a community remains largely unknown. This is particularly true for the functionally important arbuscular mycorrhizal (AM) fungi; obligate plant-root endosymbionts that colonise more than two-thirds of terrestrial plant species. Here we use high-resolution amplicon sequencing to examine how AM fungal communities in a specific extreme ecosystem – mofettes or natural CO<sub>2</sub>springs caused by geological CO<sub>2</sub>exhalations – are affected by long-term stress. We found that in mofettes, specific and temporally stable communities form as a subset of the local metacommunity. These communities are less diverse and dominated by adapted, ‘stress tolerant’ taxa. Those taxa are rare in control locations and more benign environments worldwide, but show a stable temporal pattern in the extreme sites, consistently dominating the communities in grassland mofettes. This pattern of lower diversity and high dominance of specific taxa has been confirmed as relatively stable over several sampling years and is independently observed across multiple geographic locations (mofettes in different countries). This study implies that the response of soil microbial community composition to long-term stress is relatively predictable, which can reflect also the community response to other anthropogenic stressors (e.g. heavy metal pollution or land use change). Moreover, as AM fungi are functionally differentiated, with different taxa providing different benefits to host plants, changes in community structure in response to long-term environmental change have the potential to impact terrestrial plant communities and their productivity.
DOI: 10.6084/m9.figshare.25102112
title: OTU tables and sample metadata for Slovenian forest sites, and Italian and Czech mofette sites.

description: The ecological impacts of long-term (press) disturbance on mechanisms regulating the relative abundance (i.e. commonness or rarity) and temporal dynamics of species within a community remains largely unknown. This is particularly true for the functionally important arbuscular mycorrhizal (AM) fungi; obligate plant-root endosymbionts that colonise more than two-thirds of terrestrial plant species. Here we use high-resolution amplicon sequencing to examine how AM fungal communities in a specific extreme ecosystem – mofettes or natural CO<sub>2</sub>springs caused by geological CO<sub>2</sub>exhalations – are affected by long-term stress. We found that in mofettes, specific and temporally stable communities form as a subset of the local metacommunity. These communities are less diverse and dominated by adapted, ‘stress tolerant’ taxa. Those taxa are rare in control locations and more benign environments worldwide, but show a stable temporal pattern in the extreme sites, consistently dominating the communities in grassland mofettes. This pattern of lower diversity and high dominance of specific taxa has been confirmed as relatively stable over several sampling years and is independently observed across multiple geographic locations (mofettes in different countries). This study implies that the response of soil microbial community composition to long-term stress is relatively predictable, which can reflect also the community response to other anthropogenic stressors (e.g. heavy metal pollution or land use change). Moreover, as AM fungi are functionally differentiated, with different taxa providing different benefits to host plants, changes in community structure in response to long-term environmental change have the potential to impact terrestrial plant communities and their productivity.
DOI: 10.6084/m9.figshare.25102112.v1
title: OTU tables and sample metadata for Slovenian forest sites, and Italian and Czech mofette sites.

description: The ecological impacts of long-term (press) disturbance on mechanisms regulating the relative abundance (i.e. commonness or rarity) and temporal dynamics of species within a community remains largely unknown. This is particularly true for the functionally important arbuscular mycorrhizal (AM) fungi; obligate plant-root endosymbionts that colonise more than two-thirds of terrestrial plant species. Here we use high-resolution amplicon sequencing to examine how AM fungal communities in a specific extreme ecosystem – mofettes or natural CO<sub>2</sub>springs caused by geological CO<sub>2</sub>exhalations – are affected by long-term stress. We found that in mofettes, specific and temporally stable communities form as a subset of the local metacommunity. These communities are less diverse and dominated by adapted, ‘stress tolerant’ taxa. Those taxa are rare in control locations and more benign environments worldwide, but show a stable temporal pattern in the extreme sites, consistently dominating the communities in grassland mofettes. This pattern of lower diversity and high dominance of specific taxa has been confirmed as relatively stable over several sampling years and is independently observed across multiple geographic locations (mofettes in different countries). This study implies that the response of soil microbial community composition to long-term stress is relatively predictable, which can reflect also the community response to other anthropogenic stressors (e.g. heavy metal pollution or land use change). Moreover, as AM fungi are functionally differentiated, with different taxa providing different benefits to host plants, changes in community structure in response to long-term environmental change have the potential to impact terrestrial plant communities and their productivity.
DOI: 10.5519/qd.lv39jthp
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (34713 records)
DOI: 10.5281/zenodo.10320168
title: DATAR: A Dataset for Tracking App Releases

description: The DATAR dataset, is designed to track the characteristics of open-source Android app releases, like popularity ratings, and the social and technical factors that affect them. The dataset comprises two types of information: app-related and release-related, with the majority collected from the Google Play and GitHub platforms. Additionally, our dataset includes several source code attributes (e.g., number of activities, cyclomatic complexity) that have proven effective in previous research, extracted from the APK files and their source code. This dataset contains information from 8,031 releases of 1,354 Android open-source apps, each having at least one compatible published release on Google Play and GitHub.
DOI: 10.5281/zenodo.10320169
title: DATAR: A Dataset for Tracking App Releases
DOI: 10.5281/zenodo.10579421
title: DATAR: A Dataset for Tracking App Releases

description: The DATAR dataset, is designed to track the characteristics of open-source Android app releases, like popularity ratings, and the social and technical factors that affect them. The dataset comprises two types of information: app-related and release-related, with the majority collected from the Google Play and GitHub platforms. Additionally, our dataset includes several source code attributes (e.g., number of activities, cyclomatic complexity) that have proven effective in previous research, extracted from the APK files and their source code. This dataset contains information from 8,031 releases of 1,354 Android open-source apps, each having at least one compatible published release on Google Play and GitHub.
DOI: 10.5278/4e9eae5a-0525-40fd-90d5-0f338d228abe
title: Aalborg Adresseavis Online

description: Datasæt over avisartikler fra Aalborg Stifts Adresseavis 1818 til 1827.
DOI: 10.5281/zenodo.10556795
title: National Open Access Monitor: Dashboard Manager Application Form Submissions

description: This dataset contains the response data from the 'National Open Access Monitor: Dashboard Manager Application Form' open from 22nd November 2023. There is no current deadline for responses to the form. The live form is available here: https://app.onlinesurveys.jisc.ac.uk/s/maynoothuniversity/national-open-access-monitor-dashboard-manager-application-form. A PDF reference copy of the form is available here: https://zenodo.org/records/10187037

The purpose of the form is the National Open Access Monitor Ireland RPO and RFO dashboard manager application process. The form allows for one person to apply as primary Dashboard Manager for each RPO/RFO organisation/entity. The supplied data is collated and validated by the National Open Access Monitor Project Manager (Dr Catherine Ferris) and supplied to OpenAIRE. Following application and validation, OpenAIRE contact applicants directly regarding next steps.

As per the requirements of the project, this application process is open and transparent. The list of primary Dashboard Managers will be archived publicly here on Zenodo. For respondents that choose pseudonymisation in their consent forms, identities will not be archived on Zenodo, but all of the information supplied in this form will be shared with OpenAIRE and with others in their organisation/entity on request.

To note: 



Responses have been pseudonymised to the level of stakeholder-group e.g. Contributor a, Research Performing Organisation a, where requested by the participant in the participant consent form: https://doi.org/10.5281/zenodo.7589770

This is the original raw data file, in csv format, as downloaded from the Online Surveys platform and subsequently pseudonymised.

This is a dynamic dataset and will be updated regularly with new submissions. This is version v1, uploaded on 23 January 2024. Please refer to the version history for older versions. 


-----------------------

The context is detailed in the Irish Research Performing Organisations (RPO) training - National Open Access Monitor, Ireland: https://zenodo.org/doi/10.5281/zenodo.10143612 and the National Open Access Monitor, Ireland Inception Report: https://zenodo.org/doi/10.5281/zenodo.10005955

This project is managed by IReL and has received funding from Ireland's National Open Research Forum under the NORF Open Research Fund. https://norf.ie/funding/ https://norf.ie/orf-projects-announcement/
DOI: 10.15151/esrf-es-1430230354
title: Probing micro and macroscopic structural and magnetic order parameters across first-order phase transition in giant magnetocaloric Gd5(Si,Ge

description: In the proposed experiment we want to study two magnetic field induced transitions in the giant magnetocaloric Gd5Si2Ge2 and Gd5Si0.5Ge3.5 compounds. By leveraging from the opportunity of simultaneously measuring various atomic and macroscopic parameters at ID12 beamline we aim to perform a thorough study of how the magnetic and structural transitions are (de)coupled. In particular, Synchrotron circularly polarized x-ray beam at ID12 will allow us to probe element specific magnetism (XMCD) and correlated it to simultaneously measured macroscopic properties. Hence, we propose to measure simultaneously XMCD, Hall probe magnetization, XRD and magnetostriction with strain gages as a function of temperature, magnetic field and time. We aim to unveil the fine details of magnetostructural coupling in these materials and learn on how to tailor them towards optimal magnetocaloric energy conversion efficiency.
DOI: 10.5281/zenodo.10579581
title: National Open Access Monitor: Dashboard Manager Application Form Submissions

description: This dataset contains the response data from the 'National Open Access Monitor: Dashboard Manager Application Form' open from 22nd November 2023. There is no current deadline for responses to the form. The live form is available here: https://app.onlinesurveys.jisc.ac.uk/s/maynoothuniversity/national-open-access-monitor-dashboard-manager-application-form. A PDF reference copy of the form is available here: https://zenodo.org/records/10187037

The purpose of the form is the National Open Access Monitor Ireland RPO and RFO dashboard manager application process. The form allows for one person to apply as primary Dashboard Manager for each RPO/RFO organisation/entity. The supplied data is collated and validated by the National Open Access Monitor Project Manager (Dr Catherine Ferris) and supplied to OpenAIRE. Following application and validation, OpenAIRE contact applicants directly regarding next steps.

As per the requirements of the project, this application process is open and transparent. The list of primary Dashboard Managers will be archived publicly here on Zenodo. For respondents that choose pseudonymisation in their consent forms, identities will not be archived on Zenodo, but all of the information supplied in this form will be shared with OpenAIRE and with others in their organisation/entity on request.

To note: 



Responses have been pseudonymised to the level of stakeholder-group e.g. Contributor a, Research Performing Organisation a, where requested by the participant in the participant consent form: https://doi.org/10.5281/zenodo.7589770

This is the original raw data file, in csv format, as downloaded from the Online Surveys platform and subsequently pseudonymised.

This is a dynamic dataset and will be updated regularly with new submissions. This is version v2, uploaded on 29 January 2024. Please refer to the version history for older versions. 


-----------------------

The context is detailed in the Irish Research Performing Organisations (RPO) training - National Open Access Monitor, Ireland: https://zenodo.org/doi/10.5281/zenodo.10143612 and the National Open Access Monitor, Ireland Inception Report: https://zenodo.org/doi/10.5281/zenodo.10005955

This project is managed by IReL and has received funding from Ireland's National Open Research Forum under the NORF Open Research Fund. https://norf.ie/funding/ https://norf.ie/orf-projects-announcement/
DOI: 10.5281/zenodo.10556794
title: National Open Access Monitor: Dashboard Manager Application Form Submissions

description: This dataset contains the response data from the 'National Open Access Monitor: Dashboard Manager Application Form' open from 22nd November 2023. There is no current deadline for responses to the form. The live form is available here: https://app.onlinesurveys.jisc.ac.uk/s/maynoothuniversity/national-open-access-monitor-dashboard-manager-application-form. A PDF reference copy of the form is available here: https://zenodo.org/records/10187037

The purpose of the form is the National Open Access Monitor Ireland RPO and RFO dashboard manager application process. The form allows for one person to apply as primary Dashboard Manager for each RPO/RFO organisation/entity. The supplied data is collated and validated by the National Open Access Monitor Project Manager (Dr Catherine Ferris) and supplied to OpenAIRE. Following application and validation, OpenAIRE contact applicants directly regarding next steps.

As per the requirements of the project, this application process is open and transparent. The list of primary Dashboard Managers will be archived publicly here on Zenodo. For respondents that choose pseudonymisation in their consent forms, identities will not be archived on Zenodo, but all of the information supplied in this form will be shared with OpenAIRE and with others in their organisation/entity on request.

To note: 



Responses have been pseudonymised to the level of stakeholder-group e.g. Contributor a, Research Performing Organisation a, where requested by the participant in the participant consent form: https://doi.org/10.5281/zenodo.7589770

This is the original raw data file, in csv format, as downloaded from the Online Surveys platform and subsequently pseudonymised.

This is a dynamic dataset and will be updated regularly with new submissions. This is version v2, uploaded on 29 January 2024. Please refer to the version history for older versions. 


-----------------------

The context is detailed in the Irish Research Performing Organisations (RPO) training - National Open Access Monitor, Ireland: https://zenodo.org/doi/10.5281/zenodo.10143612 and the National Open Access Monitor, Ireland Inception Report: https://zenodo.org/doi/10.5281/zenodo.10005955

This project is managed by IReL and has received funding from Ireland's National Open Research Forum under the NORF Open Research Fund. https://norf.ie/funding/ https://norf.ie/orf-projects-announcement/
DOI: 10.6084/m9.figshare.25102124
title: Liao JC, Le LAT, Leow MQH, Yusoff SKM, Teo WZ, Chong AK, Lim JX. Development and Validation of a Low-Cost Drilling Model

description: The feasibility of a low-cost drilling model to train surgeons in the drilling task