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This dataset contains all data and scripts required to replicate the results in the paper and consists of four zipped folders. Three of them correspond to the analyses involved in the paper that are 1) comparing land-use intensity of different land use types in The Netherlands, 2) comparing land-use intensity of habitats selected by godwits and available areas, and 3) testing core/home range size in relation to land-use intensity. Each of them contains the necessary R script and the data required to replicate the results. The map folder contains the tiff file of the agricultural land-use intensity map of The Netherlands.

Data for the Hase area cooperation in Lower Saxony case. Contains qualitative and quantitative information on the conditions, processes, and outcomes of a specific instance of collaborative governance involving public, private, and/or community actors. This is a case entry for the Collaborative Governance Case Database. This database provides a collective repository for collaborative governance case studies from around the world.

Data for the Foodborne disease outbreak in Germany case. Contains qualitative and quantitative information on the conditions, processes, and outcomes of a specific instance of collaborative governance involving public, private, and/or community actors. This is a case entry for the Collaborative Governance Case Database. This database provides a collective repository for collaborative governance case studies from around the world.

Data for the Blackfoot Challenge (Montana, USA) case. Contains qualitative and quantitative information on the conditions, processes, and outcomes of a specific instance of collaborative governance involving public, private, and/or community actors. This is a case entry for the Collaborative Governance Case Database. This database provides a collective repository for collaborative governance case studies from around the world.

This repository contains all data and code necessary to reproduce the experiments and figures in the article: "Enhancing optical flow-based control by learning visual appearance cues for flying robots". It allows to reproduce both the experiments in simulation and the real-world experiments with the Parrot Bebop 2 drone. Please see the README in the repository for a detailed explanation. Please note that the Paparazzi code included in this data set is subject to a GNU left license. See https://github.com/paparazzi/paparazzi/blob/master/LICENSE for more details.

Urban land use is often characterized based on the presence of built-up land, while the land use intensity of different locations is ignored. This narrow focus is at least partially due to a lack of data on the vertical dimension of urban land. The potential of Earth observation data to fill this gap has already been shown, but this has not yet been applied at large spatial scales. This study aims to map urban 3D building structure, i.e. building footprint, height, and volume, for Europe, the US, and China using random forest models. Our models perform well, as indicated by R2 values of 0.90 for building footprint, 0.81 for building height, and 0.88 for building volume, for all three case regions combined. In our multidimensional input variables, we find that built-up density derived from the Global Urban Footprint (GUF) is the most important variable for estimating building footprint, while backscatter intensity of Synthetic Aperture Radar (SAR) is the most important variable for estimating building height. A combination of the two is essential to estimate building volume. Our analysis further highlights the heterogeneity of 3D building structure across space. Specifically, buildings in China tend to be taller on average (10.35 m) compared to Europe (7.37 m) and the US (6.69 m). At the same time, the building volume per capita in China is lowest, with 302.3 m3 per capita, while Europe and the US show estimates of 404.6 m3 and 565.4 m3, respectively. The results of this study (3D building structure data for Europe, the US, and China) are publicly available, and can be used for further analysis of urban environment, spatial planning, and land use projections.

European agri-food systems must overcome structural lock-ins to achieve more sustainable modes of production and consumption. Yet European regions are highly diverse, and we lack understanding of how different regional characteristics may enable or inhibit sustainability transitions. This dataset is a set of indicators, at the European NUTS-2 spatial resolution, that together provide information on the regional enabling/disabling environments for agri-food sustainability transitions. The indicators cover different components of the agri-food system, such as farm management intensity, regional product diversity, value chain concentration, and consumer attitudes. The indicators were developed using a range of publicly-accessible data (e.g., from Eurostat, FADN, EU Barometer, and OpenStreetMap). Methodological details can be found at the related publication. publication reference will be updated upon publication

This repository makes available data that is used in the article: Firk, S., Hennig, J.C., Meier, J. and Wolff, M. (2024). Institutional Entrepreneurship and Digital Transformation: The Role of Outsider CEOs. Strategic Organization, forthcoming. It contains a text-based measure related to a firm's digital transformation. The text-based digital transformation measure is based on the firm’s business section (Item I. Business) of the annually filed 10-K report with the SEC. It contains a term-frequency (TF) based measure and a term frequency-inverse document frequency (TF-IDF) based measure. The data description file provides a description of all variables. Please cite the related publication Firk, Hennig, Meier & Wolff (2024) from Strategic Organization.

Data for the Swedish wildfire responder network case. Contains qualitative and quantitative information on the conditions, processes, and outcomes of a specific instance of collaborative governance involving public, private, and/or community actors. This is a case entry for the Collaborative Governance Case Database. This database provides a collective repository for collaborative governance case studies from around the world.