cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7949248
title: WP6 Deliverable 6.1 Literature Review - Legitimate crisis governance and economic sustainability

description: The outbreak of the Covid-19 pandemic was not only a public health crisis of unprecedented proportions in recent times, it also triggered an economic and social crisis whose consequences will be felt in our societies and economies for years. The decision-making and implementation of the social, economic and fiscal measures in response to the pandemic challenged the economic and fiscal sustainability of states. and simultaneously has raised valid questions about the legitimacy of Covid-19-crisis management. Such concerns are particularly relevant for multilevel systems where (at least) two levels of government are responsible for these areas and decision-making is characterised by either divided or shared powers. This paper reviews existing studies, indexes and databases dealing with the design and effects of the social, fiscal and economic measures in multilevel systems. It addresses general issues around crisis management in multilevel systems general in terms as well as in relation to the social, economic and fiscal measures introduced during the pandemic. The paper also focuses on the role of domestic and transnational governance arrangements in dealing with Covid-19. The review provides an important source to examine policy responses in the context of our study of the legitimacy of social, economic and fiscal measures in multilevel systems.
DOI: 10.18462/iir.icr.2023.0199
title: Assessment of the cold storage performance of a device used in deep frozen cold chain.
DOI: 10.5281/zenodo.7948575
title: WP4 Deliverable 4.1 Literature Review- Legitimate Crisis Governance in the Context of Human,  Rights, Minority Rights and the Principle of Non-Discrimination

description: The Covid-19 pandemic and crisis management dominate media and scholarly literature since 2020. The literature review shows that human rights, their limitation(s) and suspension as well as impact(s) of crisis management on democracy, legitimacy, diverse (social) minorities, marginalized groups and border communities are often mentioned, but seldom focussed on. LEGITIMULT project on legitimate democratic crisis governance in multilevel systems combines multi-, inter- and transdisciplinary approaches, qualitative and quantitative research methods in studying those complex and dynamic phenomena. As a deliverable of this project, the paper focuses on the impact(s) of crisis management, policies and measures (particularly restrictive and repressive ones), on human rights, minority rights and protection of minorities as well as on the principle of non-discrimination. Qualitative approaches and methods prove the most suitable for studying the perceptions of persons belonging to diverse minorities on democracy and legitimacy of crisis management and governance in respective environments.
DOI: 10.5281/zenodo.7948576
title: WP4 Deliverable 4.1 Literature Review- Legitimate Crisis Governance in the Context of Human,  Rights, Minority Rights and the Principle of Non-Discrimination

description: The Covid-19 pandemic and crisis management dominate media and scholarly literature since 2020. The literature review shows that human rights, their limitation(s) and suspension as well as impact(s) of crisis management on democracy, legitimacy, diverse (social) minorities, marginalized groups and border communities are often mentioned, but seldom focussed on. LEGITIMULT project on legitimate democratic crisis governance in multilevel systems combines multi-, inter- and transdisciplinary approaches, qualitative and quantitative research methods in studying those complex and dynamic phenomena. As a deliverable of this project, the paper focuses on the impact(s) of crisis management, policies and measures (particularly restrictive and repressive ones), on human rights, minority rights and protection of minorities as well as on the principle of non-discrimination. Qualitative approaches and methods prove the most suitable for studying the perceptions of persons belonging to diverse minorities on democracy and legitimacy of crisis management and governance in respective environments.
DOI: 10.5281/zenodo.7948537
title: WP3 Deliverable 3.1. Literature Review - The Making and Breaking of Rules in crisis situations: The Rule of Law and Democratic Participation

description: The Covid-19 pandemic was a stress test to democracies. To date, literature lacks a comprehensive assessment of the political legitimacy of governments’ crisis responses in the context of multi-level political decision-making systems. LEGITIMULT aims to fill this gap in literature by analyzing the relationship between multilevel governance and political legitimacy from different angles. Work package 3 focuses on the role of democratic participation and the rule of law in a politically legitimate crisis governance. This working paper aims to develop a model of a democratic crisis governance and its empirical indicators based on the example of the Covid19 crisis. Thereby, it draws on the insights from a review of the extant literature on the democratic quality of the Covid-19 crisis governance. In addition, it presents an overview of the available datasets which assess the democratic quality and political legitimacy of governments’ Covid-19 crisis responses. Finally, it formulates first ideas on case selection for more in-depth analyses. Thus, this first deliverable provides the conceptual foundations of work package 3. Based on the suggested conceptualization and indicators of a democratic crisis governance, we will map the democratic quality of the Covid-19 crisis governance in 31 countries. To study the patterns of the results of this mapping, we will select a set of countries for an in-depth analysis of the impact of multi-level governance on the political legitimacy of Covid-19 crisis governance.
DOI: 10.5281/zenodo.7948538
title: WP3 Deliverable 3.1. Literature Review - The Making and Breaking of Rules in crisis situations: The Rule of Law and Democratic Participation

description: The Covid-19 pandemic was a stress test to democracies. To date, literature lacks a comprehensive assessment of the political legitimacy of governments’ crisis responses in the context of multi-level political decision-making systems. LEGITIMULT aims to fill this gap in literature by analyzing the relationship between multilevel governance and political legitimacy from different angles. Work package 3 focuses on the role of democratic participation and the rule of law in a politically legitimate crisis governance. This working paper aims to develop a model of a democratic crisis governance and its empirical indicators based on the example of the Covid19 crisis. Thereby, it draws on the insights from a review of the extant literature on the democratic quality of the Covid-19 crisis governance. In addition, it presents an overview of the available datasets which assess the democratic quality and political legitimacy of governments’ Covid-19 crisis responses. Finally, it formulates first ideas on case selection for more in-depth analyses. Thus, this first deliverable provides the conceptual foundations of work package 3. Based on the suggested conceptualization and indicators of a democratic crisis governance, we will map the democratic quality of the Covid-19 crisis governance in 31 countries. To study the patterns of the results of this mapping, we will select a set of countries for an in-depth analysis of the impact of multi-level governance on the political legitimacy of Covid-19 crisis governance.
DOI: 10.5281/zenodo.7948495
title: WP2: Deliverable 2.1. Literature Review: Legitimate Crisis Governance in MLG Systems

description: Crises, such as natural disasters, terrorist events, economic breakdowns, or disease outbreaks, pose fundamental challenges to governments. An important question is how governments can respond to and deal with crises, not only in an effective way, but also in a legitimate way. The legitimacy of crisis governance has received significant attention in the wake of the COVID-19 pandemic, with government responses that impacted virtually all citizens worldwide and that sometimes led to protests and other challenges to the legitimacy of measures and the authorities passing them. At the same time, the pandemic demanded coordinated action from governments at all levels, requiring a legitimate crisis response sensitive to the needs of federalism, decentralization, supranational authorities and other multilevel governance (MLG) institutions and processes. Despite this increasing scholarly attention, the role that MLG has played in government responses to the pandemic remains uncertain as the literature remains fragmented. Additionally, there is a need for a conceptualization of legitimate crisis governance to better understand these responses and contribute to future effective crisis response. In this three-part deliverable, we first synthesize the literature on the effects of MLG on governments’ policy responses to COVID-19 through a systematic literature review. The systematic literature review shows that while current scholarship reveals much about national, subnational and local responses, it remains limited by a narrow set of research methods, comparisons across cases that are solely of one or another MLG-type, and a lack of specificity regarding the government response studied. The second part of the deliverable develops a conceptual framework for analyzing and assessing the legitimacy of crisis governance and develops a set of expectations that can guide empirical research into the legitimacy of crisis governance. Taking these two perspectives as a starting point, the third part of the deliverable proposes a mixed methods research design for testing the framework to better understand the effects of multilevel governance systems on crisis governance responses and citizens’ perceptions of their legitimacy.
DOI: 10.5281/zenodo.7948496
title: WP2: Deliverable 2.1. Literature Review: Legitimate Crisis Governance in MLG Systems

description: Crises, such as natural disasters, terrorist events, economic breakdowns, or disease outbreaks, pose fundamental challenges to governments. An important question is how governments can respond to and deal with crises, not only in an effective way, but also in a legitimate way. The legitimacy of crisis governance has received significant attention in the wake of the COVID-19 pandemic, with government responses that impacted virtually all citizens worldwide and that sometimes led to protests and other challenges to the legitimacy of measures and the authorities passing them. At the same time, the pandemic demanded coordinated action from governments at all levels, requiring a legitimate crisis response sensitive to the needs of federalism, decentralization, supranational authorities and other multilevel governance (MLG) institutions and processes. Despite this increasing scholarly attention, the role that MLG has played in government responses to the pandemic remains uncertain as the literature remains fragmented. Additionally, there is a need for a conceptualization of legitimate crisis governance to better understand these responses and contribute to future effective crisis response. In this three-part deliverable, we first synthesize the literature on the effects of MLG on governments’ policy responses to COVID-19 through a systematic literature review. The systematic literature review shows that while current scholarship reveals much about national, subnational and local responses, it remains limited by a narrow set of research methods, comparisons across cases that are solely of one or another MLG-type, and a lack of specificity regarding the government response studied. The second part of the deliverable develops a conceptual framework for analyzing and assessing the legitimacy of crisis governance and develops a set of expectations that can guide empirical research into the legitimacy of crisis governance. Taking these two perspectives as a starting point, the third part of the deliverable proposes a mixed methods research design for testing the framework to better understand the effects of multilevel governance systems on crisis governance responses and citizens’ perceptions of their legitimacy.
DOI: 10.5281/zenodo.10376884
title: Species‑specific influence of powdery mildew mycelium on the efficiency of PM accumulation by urban greenery - Data

description: Dataset of article: Przybysz, A., Nawrocki, A., Mirzwa-Mróz, E. et al. Species-specific influence of powdery mildew mycelium on the efficiency of PM accumulation by urban greenery. Environ Sci Pollut Res (2023). https://doi.org/10.1007/s11356-023-28371-6
DOI: 10.5281/zenodo.10376885
title: Species‑specific influence of powdery mildew mycelium on the efficiency of PM accumulation by urban greenery - Data

description: Dataset of article: Przybysz, A., Nawrocki, A., Mirzwa-Mróz, E. et al. Species-specific influence of powdery mildew mycelium on the efficiency of PM accumulation by urban greenery. Environ Sci Pollut Res (2023). https://doi.org/10.1007/s11356-023-28371-6
DOI: 10.25318/9810050501-eng
title: Place of work status by highest level of education and gender: Canada, provinces and territories, census divisions and census subdivisions of work

description: Data on place of work status by highest certificate, diploma or degree and gender for the employed labour force aged 15 years and over, in private households in Canada, provinces and territories, census divisions and census subdivisions of work.
DOI: 10.5281/zenodo.10373952
title: Cartographie fine de la couverture de Macrocystis pyrifera sur l'archipel de Kerguelen à partir d'images Sentinel-2 acquises en 2020

description: Cette donnée représente une cartographie fine de la couverture de Macrocystis pyrifera (MP) sur l’archipel de Kerguelen à partir d'images Sentinel-2 acquises en 2020. Etant donné la proximité de MP avec Durvilleae Antarctica (DA) (du point de vue de leur signature spectrale), les résultats intègrent aussi cette dernière.

Les données d’Observation de la Terre utilisées sont les images satellitaires libres et gratuites Sentinel-2 (A et B). La chaîne de traitement mise en place est entièrement basée sur le langage R. Les téléchargements et prétraitements ont été effectués grâce à une librairie complète, sen2r, créée par Luigi Ranghetti (Ranghetti et al., 2020).Les résultats de détection des algues brunes à partir de la chaîne sont proches de l’exhaustivité avec un Kappa global de 0.993. C’est l’indice du grNDVI de Wang et al. (2007) qui a été utilisé pour réaliser ces produits.

Un produit final utilisable par un utilisateur n’ayant pas forcément été initié à la télédétection a été favorisé. Dans ce but une couche shapefile représentant la présence moyenne d’algue brune sur la zone (c.à.d. sur toute l’étendue temporelle disponible) est ici mise à disposition.

Cette donnée a été réalisée dans le cadre du stage de master2 d'Alexis Pré co-encadré par l'UMR Espace-Dev à la station SEAS-OI et le service SIG des Terres Australes et Antarctiques Françaises.

Wang, F. M., Huang, J. F., Tang, Y. L., & Wang, X. Z. (2007). New vegetation index and its application in estimating leaf area index of rice. Rice Science, 14(3), 195-203.

Ranghetti, L., Boschetti, M., Nutini, F., & Busetto, L. (2020). “sen2r”: An R toolbox for automatically downloading and preprocessing Sentinel-2 satellite data. Computers & Geosciences, 139, 104473.
DOI: 10.5281/zenodo.10373953
title: Cartographie fine de la couverture de Macrocystis pyrifera sur l'archipel de Kerguelen à partir d'images Sentinel-2 acquises en 2020

description: Cette donnée représente une cartographie fine de la couverture de Macrocystis pyrifera (MP) sur l’archipel de Kerguelen à partir d'images Sentinel-2 acquises en 2020. Etant donné la proximité de MP avec Durvilleae Antarctica (DA) (du point de vue de leur signature spectrale), les résultats intègrent aussi cette dernière.

Les données d’Observation de la Terre utilisées sont les images satellitaires libres et gratuites Sentinel-2 (A et B). La chaîne de traitement mise en place est entièrement basée sur le langage R. Les téléchargements et prétraitements ont été effectués grâce à une librairie complète, sen2r, créée par Luigi Ranghetti (Ranghetti et al., 2020).Les résultats de détection des algues brunes à partir de la chaîne sont proches de l’exhaustivité avec un Kappa global de 0.993. C’est l’indice du grNDVI de Wang et al. (2007) qui a été utilisé pour réaliser ces produits.

Un produit final utilisable par un utilisateur n’ayant pas forcément été initié à la télédétection a été favorisé. Dans ce but une couche shapefile représentant la présence moyenne d’algue brune sur la zone (c.à.d. sur toute l’étendue temporelle disponible) est ici mise à disposition.

Cette donnée a été réalisée dans le cadre du stage de master2 d'Alexis Pré co-encadré par l'UMR Espace-Dev à la station SEAS-OI et le service SIG des Terres Australes et Antarctiques Françaises.

Wang, F. M., Huang, J. F., Tang, Y. L., & Wang, X. Z. (2007). New vegetation index and its application in estimating leaf area index of rice. Rice Science, 14(3), 195-203.

Ranghetti, L., Boschetti, M., Nutini, F., & Busetto, L. (2020). “sen2r”: An R toolbox for automatically downloading and preprocessing Sentinel-2 satellite data. Computers & Geosciences, 139, 104473.
DOI: 10.6084/m9.figshare.21764129
title: Data and code to reproduce "Thinning presence points does not improve species distribution model performance"

description:  This repository contain the data and code to reproduce the analyses in:<br>

Ten Caten, C., Dallas, T. "Thinning presence points does not improve species distribution model performance".<br>

This repository is structured in a way such that the analyses in the manuscript can be run from different startig points. For that reason, codes are labelled with numbers 0-6, such that code 0 is the first step needed to reproduce the entire analytical process used in our simulations whereas code 6 is mostly plotting/running analyses.<br>

In case the user decides to start from part 2, for example, the user can unzip the folder "2_Data", which contains all the data generated in parts 0-1 that is needed to run part 2. Similarly, to start from part 3, unzip the folder "3_Data" that has all the data generated in parts 0-2 needed to run part 3. The same idea is used for parts 4-5.<br>

An important detail is that, if the user decides to run the analyses from part 1 ("1_LandScapeAndSps.R"), they should avoid sourcing  part 0 ("0_SourceFunctions.R") as it is in the first line of code 1. Instead, they can run lines 1-119 to get what is needed to run part 1. Sourcing code 0 from part 1 will still work, but it will throw an error message that occurs because the object "LandScapesAndSps.RData" is needed to run the rest of code 0 (and generate some of the objects that are used in the later parts), but this object is only officially created in part 1. Otherwise, the codes can be run following the structure provided in the previous paragraph.
DOI: 10.6084/m9.figshare.21764129.v3
title: Data and code to reproduce "Thinning presence points does not improve species distribution model performance"

description:  This repository contain the data and code to reproduce the analyses in:<br>

Ten Caten, C., Dallas, T. "Thinning presence points does not improve species distribution model performance".<br>

This repository is structured in a way such that the analyses in the manuscript can be run from different startig points. For that reason, codes are labelled with numbers 0-6, such that code 0 is the first step needed to reproduce the entire analytical process used in our simulations whereas code 6 is mostly plotting/running analyses.<br>

In case the user decides to start from part 2, for example, the user can unzip the folder "2_Data", which contains all the data generated in parts 0-1 that is needed to run part 2. Similarly, to start from part 3, unzip the folder "3_Data" that has all the data generated in parts 0-2 needed to run part 3. The same idea is used for parts 4-5.<br>

An important detail is that, if the user decides to run the analyses from part 1 ("1_LandScapeAndSps.R"), they should avoid sourcing  part 0 ("0_SourceFunctions.R") as it is in the first line of code 1. Instead, they can run lines 1-119 to get what is needed to run part 1. Sourcing code 0 from part 1 will still work, but it will throw an error message that occurs because the object "LandScapesAndSps.RData" is needed to run the rest of code 0 (and generate some of the objects that are used in the later parts), but this object is only officially created in part 1. Otherwise, the codes can be run following the structure provided in the previous paragraph.
DOI: 10.25318/9810050501-fra
title: Catégorie du lieu de travail selon le plus haut niveau de scolarité et le genre : Canada, provinces et territoires, divisions de recensement et subdivisions de recensement du lieu de travail

description: Données sur la catégorie du lieu de travail selon le plus haut certificat, diplôme ou grade et le genre pour la population active occupée âgée de 15 ans et plus, dans les ménages privés au Canada, les provinces et territoires, les divisions de recensement et les subdivisions de recensement du lieu de travail.
DOI: 10.5281/zenodo.7569275
title: POLIcy design ANNotAtions (POLIANNA): Towards understanding policy design through text-as-data approaches

description: The POLIANNA dataset is a collection of legislative texts from the European Union (EU) that have been annotated based on theoretical concepts of policy design. The dataset consists of 20,577 annotated spans in 412 articles, drawn from 18 EU climate change mitigation and renewable energy laws, and can be used to develop supervised machine learning approaches for scaling policy analysis. The dataset includes a novel coding scheme for annotating text spans, and you find a description of the annotated corpus, an analysis of inter-annotator agreement, and a discussion of potential applications in the paper accompanying this dataset. The objective of this dataset to build tools that assist with manual coding of policy texts by automatically identifying relevant paragraphs. Detailed instructions and further guidance about the dataset as well as all the code used for this project can be found on the GitHub project page. The repository also contains useful code to calculate various inter-annotator agreement measures and can be used to process text annotations generated by INCEpTION. <strong>Dataset Description</strong> We provide the dataset in 3 different formats:<br> <br> <em>JSON: </em>Each article corresponds to a folder, where the Tokens and Spans are stored in a separate JSON file. Each article-folder further contains the raw policy-text as in a text file and the metadata about the policy. This is the most human-readable format. <em>JSONL: </em>Same folder structure as the JSON format, but the Spans and Tokens are stored in a JSONL file, where each line is a valid JSON document. <em>Pickle: </em>We provide the dataset as a Python object. This is the recommended method when using our own Python framework that is provided on GitHub. For more information, check out the GitHub project page. <br> <strong>License</strong> The POLIANNA dataset is licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license. If you use the POLIANNA dataset in your research in any form, please cite the dataset. <strong>Citation</strong> [PLACEHOLDER FOR CITATION OF OUR PAPER]
description: This work was also supported by ETH Career Seed Grant SEED-24 19-2, funded by the ETH Zurich Foundation.