Dataset Description:This dataset contains hyperspectral images of six porous building materials: five natural stones (Euville, Massangis, Neubrunner, Obernkirchener, and Savonnières) and one archaeological red brick. For each material, six replicate specimens measuring approximately 6 × 6 × 6 cm³ were prepared. From each sample cube, a small cylindrical sub-sample was extracted to study spatial heterogeneity. In total, 36 sample cubes and 36 cylindrical sub-samples were produced. Moisture levels were carefully controlled across five target saturation states (25%, 50%, 75%, 90%, and 100%). Hyperspectral images of both moist and dry samples were acquired using an Imec Snapscan SWIR camera (1100–1670 nm, ~5 nm spectral resolution), under uniform lighting and consistent positioning. Dataset Structure:The data is provided in a compressed archive (HSI_Dataset.zip) containing two main folders:Big_Samples/Small_Samples/Each of these folders includes seven subfolders corresponding to the six moisture saturation levels (0%, 25%, 50%, 75%, 90%, and 100%) and groundtruth. Within each saturation subfolder, you will find 36 .mat files—one for each sample. Files are named using a code that identifies the material and replicate number. For example, B2.mat refers to the second replicate of the brick sample. Material codes used are:B – BrickE – EuvilleM – MassangisN – NeubrunnerOB – ObernkirchenerS – SavonnièresEach .mat file contains the hyperspectral reflectance data and wavelength information of the image for the specific sample and saturation condition.The journal paper describing the dataset in detail and a method to estimate MC from spectral reflectance is currently under submission. The preprint version of the journal paper can be accessed via this DOI: 10.13140/RG.2.2.26625.98404This is an open-source dataset. If you use it in your work, please cite these two DOIs: 10.5281/zenodo.15304416 ;10.13140/RG.2.2.26625.98404

LBBG_ADULT - Lesser black-backed gulls (Larus fuscus, Laridae) breeding in Belgium is a bird tracking dataset published by the Research Institute for Nature and Forest (INBO). It contains animal tracking data collected by the LifeWatch GPS tracking network for large birds (http://lifewatch.be/en/gps-tracking-network-large-birds) for the project/study LBBG_ADULT, using trackers developed by Ornitela (https://www.ornitela.com). The study has been operational since 2022. In total 39 individuals of lesser black-backed gull (Larus fuscus) have been tagged in the breeding colony of Zeebrugge in Belgium, mainly to study their habitat use and migration behaviour. Data are automatically synced with Movebank and from there periodically archived on Zenodo (see https://github.com/inbo/bird-tracking).FilesData in this package are exported from Movebank study 2298738353. Fields in the data follow the Movebank Attribute Dictionary and are described in datapackage.json. Files are structured as a Frictionless Data Package. You can access all data in R via https://zenodo.org/records/17292786/files/datapackage.json using frictionless.datapackage.json: technical description of the data files.LBBG_ADULT-reference-data.csv: reference data about the animals, tags and deployments.LBBG_ADULT-gps-yyyy.csv.gz: GPS data recorded by the tags, grouped by year.AcknowledgementsThis dataset was collected using infrastructure provided by INBO and funded by Research Foundation - Flanders (FWO) as part of the Belgian contribution to LifeWatch.

This data table provides some basic information on the expression of tense and grammatical/viewpoint aspect in a genealogically balanced, worldwide sample of 180 languages. For each language, descriptive grammars were consulted as the main data source. The respective references are provided in the table. As far known, this table represents the most recent and, in terms of the number of languages covered, most extensive cross-linguistic overview of basic tense-aspect expressions to date. It is a helpful tool for all researchers who are interested in the cross-linguistic frequency of (some basic) tense-aspect distinctions, their areal distribution, and the correlations between them. Other possible uses include the quick identification of languages with a specific tense-aspect profile which is of particular interest to the researcher.The parameters for which information is provided are: possibility and obligatoriness of perfective/imperfective marking, possibility and obligatoriness of tense marking, number and type of tense distinctions, presence and type of temporal remoteness distinctions, and ways for marking present habituality. More information can be found in the attached key.

This data table provides some basic information on the expression of tense and grammatical/viewpoint aspect in a genealogically balanced, worldwide sample of 180 languages. For each language, descriptive grammars were consulted as the main data source. The respective references are provided in the table. As far known, this table represents the most recent and, in terms of the number of languages covered, most extensive cross-linguistic overview of basic tense-aspect expressions to date. It is a helpful tool for all researchers who are interested in the cross-linguistic frequency of (some basic) tense-aspect distinctions, their areal distribution, and the correlations between them. Other possible uses include the quick identification of languages with a specific tense-aspect profile which is of particular interest to the researcher.The parameters for which information is provided are: possibility and obligatoriness of perfective/imperfective marking, possibility and obligatoriness of tense marking, number and type of tense distinctions, presence and type of temporal remoteness distinctions, and ways for marking present habituality. More information can be found in the attached key.

This dataset is part of the ROBUST research project and contains qualitative data on national and local crisis responses in nine European countries during three major crises. The dataset contains country reports from Belgium, Czechia, Denmark, Estonia, Hungary, Italy, the Netherlands, Norway, and Spain covering the 2008-09 financial crisis, the 2015-16 refugee crisis, and the 2020-2022 COVID crisis. The country reports are based on 108 stakeholder interviews and extensive document studies, and they contain 33 mini-cases. The data was gathered to explore  how three key governance factors—multi-level governance, hybridity of governance, and societal intelligence—contribute to the development of robust governance. The data gathering was conducted by national teams from each country following a common template. The data gathering fed into reports focusing on each of the three above-mentioned governance factors, which are included elsewhere in the ROBUST repository. The reports in the dataset are organized hierarchically:Dataset (this DOI): Entire collection of country reportsCountry report: One report for each countrySection: One section per crisis in each country reportChapter: Separate chapters on national responses and case studies of local responses.Zenodo provides a single DOI for the full dataset. To ensure precise citation, users should reference the dataset DOI and specify the hierarchical level (report, section, chapter) they are using following the examples below.Cite the datasetRandma-Liiv, T., Nõmmik, S., Russo, C., Pettrachin, A., Caponio, T., and Coroano, SD. (eds.) (2025). Exploring Robust Crisis Governance. Qualitative Data from Nine Country Studies of Three Major Crises (Version 1.0) [Dataset] ROBUST: Zenodo. https://doi.org/10.5281/zenodo.17161272Cite a country report (example)Nemec, J. and Špaček, D. (2025). Crisis Responses in Czechia, in Exploring Robust Crisis Governance. Qualitative Data from Nine Country Studies of Three Major Crises (Version 1.0) [Dataset] ROBUST: Zenodo. https://doi.org/10.5281/zenodo.17161272Cite a section or chapter in a country report (example)Nemec, J. (2025). Studying the Financial Crisis in Czechia, Crisis Responses in Czechia, in Exploring Robust Crisis Governance. Qualitative Data from Nine Country Studies of Three Major Crises (Version 1.0) [Dataset] ROBUST: Zenodo. https://doi.org/10.5281/zenodo.17161272

This dataset is part of the ROBUST research project and contains qualitative data on national and local crisis responses in nine European countries during three major crises. The dataset contains country reports from Belgium, Czechia, Denmark, Estonia, Hungary, Italy, the Netherlands, Norway, and Spain covering the 2008-09 financial crisis, the 2015-16 refugee crisis, and the 2020-2022 COVID crisis. The country reports are based on 108 stakeholder interviews and extensive document studies, and they contain 33 mini-cases. The data was gathered to explore  how three key governance factors—multi-level governance, hybridity of governance, and societal intelligence—contribute to the development of robust governance. The data gathering was conducted by national teams from each country following a common template. The data gathering fed into reports focusing on each of the three above-mentioned governance factors, which are included elsewhere in the ROBUST repository. The reports in the dataset are organized hierarchically:Dataset (this DOI): Entire collection of country reportsCountry report: One report for each countrySection: One section per crisis in each country reportChapter: Separate chapters on national responses and case studies of local responses.Zenodo provides a single DOI for the full dataset. To ensure precise citation, users should reference the dataset DOI and specify the hierarchical level (report, section, chapter) they are using following the examples below.Cite the datasetRandma-Liiv, T., Nõmmik, S., Russo, C., Pettrachin, A., Caponio, T., and Coroano, SD. (eds.) (2025). Exploring Robust Crisis Governance. Qualitative Data from Nine Country Studies of Three Major Crises (Version 1.0) [Dataset] ROBUST: Zenodo. https://doi.org/10.5281/zenodo.17161272Cite a country report (example)Nemec, J. and Špaček, D. (2025). Crisis Responses in Czechia, in Exploring Robust Crisis Governance. Qualitative Data from Nine Country Studies of Three Major Crises (Version 1.0) [Dataset] ROBUST: Zenodo. https://doi.org/10.5281/zenodo.17161272Cite a section or chapter in a country report (example)Nemec, J. (2025). Studying the Financial Crisis in Czechia, Crisis Responses in Czechia, in Exploring Robust Crisis Governance. Qualitative Data from Nine Country Studies of Three Major Crises (Version 1.0) [Dataset] ROBUST: Zenodo. https://doi.org/10.5281/zenodo.17161272

This dataset is based on VABB-14 and contains all three types of disciplinary classifications: organizational, channel-based, and text-based. The data is provided in both .pkl and .csv formats for convenience.In addition, a JSON mapping file is included, which links disciplines to broader areas and provides a harmonized classification across all three systems. This ensures consistency and comparability when analyzing the different classification perspectives.

This dataset is based on VABB-14 and contains all three types of disciplinary classifications: organizational, channel-based, and text-based. The data is provided in both .pkl and .csv formats for convenience.In addition, a JSON mapping file is included, which links disciplines to broader areas and provides a harmonized classification across all three systems. This ensures consistency and comparability when analyzing the different classification perspectives.

This upload contains the datasets, codes and explanatory meta-data file supporting the manuscript, Environmental disturbance factors may erode or enhance the repeatability of behavior: a review and meta-analysis. In this manuscript, we adopt a meta-analytical approach to explore the effect of multiple natural and anthropogenic disturbance factors on the repeatability of animal behavior. In addition, we review support for alternative hypotheses, which are not mutually exclusive, involving how changes in within- and among-individual variance components contribute to changes in repeatability. Finally, we explore whether or not changes in repeatability are commonly accompanied by changes in population mean behavior, or in the behavioral correlation structure.

This upload contains the datasets, codes and explanatory meta-data file supporting the manuscript, Environmental disturbance factors may erode or enhance the repeatability of behavior: a review and meta-analysis. In this manuscript, we adopt a meta-analytical approach to explore the effect of multiple natural and anthropogenic disturbance factors on the repeatability of animal behavior. In addition, we review support for alternative hypotheses, which are not mutually exclusive, involving how changes in within- and among-individual variance components contribute to changes in repeatability. Finally, we explore whether or not changes in repeatability are commonly accompanied by changes in population mean behavior, or in the behavioral correlation structure.