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5,666 results for “Social”
VABB-SHW: Dataset of Flemish Academic Bibliography for the Social Sciences and Humanities (edition 14)
<p>This dataset contains the fourteenth edition of the <em>Flemish Academic Bibliography for the Social Sciences and Humanities (VABB-SHW)</em>, a database of academic publications from the social sciences and humanities authored by researchers affiliated to Flemish universities (<a href="https://www.ecoom.be/en/data-collections/vabb-shw">more information</a>). Publications in the database are used as one of the parameters of the Flemish performance-based research funding system. Only approved publications are included in this dataset.</p>
Coding frame and dataset for the study: Land-use governance: The interplay of social, market, and policy drivers – A global systematic review
<p>This file entails the coding frame and dataset used to conduct the systematic literature review "Land-use governance: The interplay of social, market, and policy drivers – A global systematic review".</p> <p>This study was first published as Chapter 2 of the PhD Dissertation "From soil to society - Rethinking governance for multifunctional land use and management" (Elsa L. Dingkuhn, 2025), and in a modified form in the journal Earth System Governance (Dingkuhn et al. 2025).</p> <p>The file consists of three sheets:<br>- Coding frame: Includes coding instructions and definitions used to extract and categorize the data.<br>- Variables: A list of dataset variables with explanations.<br>- List of included studies: The 81 studies from which the data was sourced.<br>- Data_List of observations: The dataset itself, consisting of 718 observations extracted from the included studies.</p>
Social Context Affects Camouflage in a Cryptic Fish Species
<p>Crypsis, or the ability to avoid detection and/or recognition, is an important and widespread anti-predator strategy across the animal kingdom. Many animals are able to camouflage themselves by adapting their body colour to the local environment. In particular, rapid changes in body colour are often critical to the survival of cryptic prey which rely on evading detection by predators. This is especially pertinent for animals subject to spatiotemporal variability in their environment, as they must adapt to acute changes in their visual surroundings. However, which features of the local environment are most relevant is not well understood. In particular, little is known about how social context interacts with other environmental stimuli to influence crypsis. Here we use a common cryptic prey animal, the goby (Pseudogobius species 2) to examine how the presence and body colour of conspecifics influences the rate and extent to which gobies change colour. We find that solitary gobies change colour to match their background faster and to a greater extent than gobies in pairs. Further, we find that this relationship holds irrespective of the colour of nearby conspecifics. This study demonstrates the importance of social context in mediating colour change in cryptic animals.</p>
S-LCA - Datasets for PlastiCircle Social Evaluation of the Light Packaging Waste Management (stakeholder perpectives)
<p>This deliverable (7.5) presents S-LCA results for the waste management systems in Valencia (Spain), Utrecht (Netherland) and Alba Iulia (Romania). Moreover, an extrapolation of the results has been calculated to show the results on the European level.</p> <p>Data is collected from groups of citizens, citizens associations, waste managers and municipalities (city hall workers).</p> <p>Questionnaires have been done in order to ask this groups of people questions to assess the social impact of the waste management systems in each city.</p> <p>Questions have been prepared according to the guidelines for social life cycle assessment of products - UNEP DTIE.</p>
Figures 1–6 in Predation of Ananteris spp. (Scorpiones: Buthidae) by ants and a social wasp (Hymenoptera: Formicidae, Vespidae) in Panama, Central America
Figures 1–6: Figures 1–4. Ananteris sp. (cf. leilae). Adult male (1–3) from Panama, Darién Province, Cerro Pirre, Rancho Frío Station, predated by a forager wasp Agelaia centralis (4). Photo ex situ. Figures 5–6. Ananteris sp. (cf. platnicki) Adult female from Panama, Darién Province, Cana predated by six workers of the ant Leptogenys cf. cuneata (5), detail of the damage (arrow) that the ants probably inflicted on the scorpion pleura (6). Photo ex situ.
Sex roles in birds: influence of climate, life histories and social environment
<p>For detailed information concerning data collection please see Gonzalez-Voyer et al. Sex roles in birds: phylogenetic analyses of the influence of climate, life histories and social environment. Ecology Letters. Briefly, data on ecology, life histories and behaviour of birds were extracted from published literature. If several data were available for a given species, we included the ones that were extracted from breeding individuals or had larger sample sizes. The details regarding data processing are provided in the Supplementary Material of Gonzalez-Voyer et al. (accepted).</p>
Fig. 2 in Feeding and social behavior of the piabanha, Brycon devillei (Castelnau, 1855) (Characidae: Bryconinae) in the wild, with a note on following behavior
Fig. 2. Mean values of proportion of time expressing different foraging tactics by Brycon devillei for each season in the RPSP, between July 2006 and April 2009.
Fig. 3 in Feeding and social behavior of the piabanha, Brycon devillei (Castelnau, 1855) (Characidae: Bryconinae) in the wild, with a note on following behavior
Fig. 3. Two individuals of Brycon devillei aligned sideways to the timburé, Leporinus garmani, on a sand bank in the rio Preto channel. Photo by P. G. Azevedo.
Viral Communication: Longitudinal Survey Data on the Social Dimensions of the COVID-19 Pandemic
<p>This dataset represents the anonymised data collected as part of the Viral Communication (Understand-ELSED) project, which focussed on the social and ethical dimensions of the COVID-19 pandemic in Germany. It includes the three measurements; Phase I (30 October 2020 and 14 December 2020), Phase II (2 March 2021 and 22 March 2021) and Phase III.</p> <p>The first phase built the foundation for the wider suite of data collection approaches and research methods used in the Viral Communication project by allowing respondents to opt-in to multiple research pathways.</p> <p>Overall sample frame (Phase I): <em>N </em>= 1480</p> <p>Phase II sample frame: <em>N </em>= 482</p> <p>Phase III sample frame: <em>N </em>= 426</p> <p>Computed variables such as weights, groupings (experimental set-ups), and composite scores are included in the dataset.</p>
The gut microbiota affects the social network of honey bees
<p>This dataset contains input files needed to reproduce the automated behavioral tracking data analyses of the research article "The gut microbiota affects the social network of honey bees”. Codes using these data and additional datasets are available at: https://github.com/JoanitoLiberti/The-gut-microbiota-affects-the-social-network-of-honey-bees/</p> <p> </p>
InnoRate_Social_media_statistics_Dataset14_2021.12.28_v1
<p>This dataset contains the final statistics of (i) the social media accounts (Facebook, Twitter, LinkedIn) and (ii) the InnoRate web portal, which both have been created in the frame of the InnoRate Project (H2020 GA 821518).</p>
Group composition of individual personalities alters social network structure in experimental populations of forked fungus beetles
<p><span>Social network structure is a critical group character that mediates the flow of information, pathogens, and resources among individuals in a population, yet little is known about what shapes social structures. In this study, we experimentally tested whether social network structure depends on the personalities of group members. Replicate groups of forked fungus beetles (<i>Bolitotherus cornutus</i>) were engineered to include only members previously assessed as either more social or less social. We found that individuals behaved consistently across social contexts, exhibiting repeatable numbers of interactions and numbers of partners. At the group level, networks composed of more social individuals had higher interaction rates, higher tie density, higher global clustering, and shorter average shortest paths than those composed of less social individuals. We highlight group composition of personalities as a source of variance in group traits and a potential mechanism by which networks could evolve.</span></p>
Global indicators framework for socially responsible research and innovation (RRI): How to monitor public and researcher perspectives (Supplemental material)
<p>This data upload provides a detailed account of indicators that can be used to measure RRI progress around the world against the UNESCO Recommendation for Science and Scientific Researchers at the level of individual researchers and public opinion. This data upload provides supplemental material for an article in Open Research Europe entitled, 'Global indicators framework for socially responsible research and innovation (RRI): How to monitor public and researcher perspectives'.</p> <p>Abstract for main article:</p> <p>As calls for more socially responsible research and innovation (RRI) policies and practices grow more insistent, the need for high quality indicators that can be used to evaluate progress is becoming increasingly important. Given the global nature of science, such indicators need to be relevant to countries across all world regions. Moreover, the methodological quality of indicators is critical to provide a strong foundation for long-term comparative measurement of the impacts of different kinds of policy intervention. There is a practical challenge in this effort relating to the uneven mechanisms for data collection and analysis available in different countries. There is also a geopolitical challenge in gaining buy-in from countries with very different, and sometimes competing, agendas. Here, the 2017 UNESCO-led Recommendation on Science and Scientific Researchers is highlighted as an existing vehicle that can enable cooperation on globally comparative measurement of socially responsible research and innovation. In particular, the quadrennial monitoring of the implementation of this wide-ranging global policy instrument that has been ratified by 195 countries affords a unique opportunity to add value for these countries by linking RRI to the 2017 Recommendation while establishing benchmark indicators for RRI more generally. As a practical and methodological contribution to the global community of science and innovation policymakers, researchers and research and innovation stakeholders committed to socially responsible research, this report contains specific, detailed survey questions and response options focusing on the public opinion and individual researchers’ level of measurement. It provides details of sources of benchmark survey data that have readily available open data that can be used to benchmark the development of socially responsible research and innovation over time from the vantage points of the public and researchers around the world. The aim of this kind of indicators framework is to enable evidence-based practice in socially responsible research and innovation. Robust and practical RRI measurement on a global scale can reduce the risk that well-intentioned but ill-conceived RRI policy and practice interventions create undetected, unchecked, and unreformed negative impacts in practice.</p>
The Social Cost of Carbon: Advances in Long-Term Probabilistic Projections of Population, GDP, Emissions, and Discount Rates
<p>This repository contains the socioeconomic and emissions projections generated by the Resources for the Future Socioeconomic Projections (RFF-SPs) model as discussed in Rennert et al., "<a href="https://www.rff.org/publications/working-papers/the-social-cost-of-carbon-advances-in-long-term-probabilistic-projections-of-population-gdp-emissions-and-discount-rates/">The Social Cost of Carbon: Advances in Long-Term Probabilistic Projections of Population, GDP, Emissions, and Discount Rates</a>" , forthcoming at the <em>Brookings Papers on Economic Activity</em>. The data take the form of a Monte Carlo simulation with n = 10,000 draws.</p> <p>File structure and column metadata are described here: </p> <p>--- <br> emissions/ <br> --- </p> <p>- rffsp_co2_emissions.csv <br> - rffsp_ch4_emissions.csv <br> - rffsp_n2o_emissions.csv </p> <p>Each file in this folder contains 3 columns: sample, year, and value. For each row: </p> <p>- sample contains the number identifying which draw a prediction belongs to (from 1 to 10,000). <br> - year contains the calendar year of the prediction. <br> - value contains the projected annual global emissions of the gas specified in the filename. IMPORTANT: Units are as follows: "rffsp_co2_emissions.csv" is in gigatons C (not CO2), "rffsp_ch4_emissions.csv " is in megatons CH4, and "rffsp_n2o_emissions.csv " is in megatons N2 (not N2O). </p> <p>--- <br> pop_income/ <br> --- </p> <p>- rffsp_pop_income_run_1.feather <br> - rffsp_pop_income_run_2.feather <br> - rffsp_pop_income_run_3.feather <br> . <br> . <br> . <br> - rffsp_pop_income_run_9999.feather <br> - rffsp_pop_income_run_10000.feather </p> <p>This folder contains 10,000 files in the .feather file format (https://arrow.apache.org/docs/python/feather.html), which is optimized for I/O speed and compressed to minimize storage requirements. Each file corresponds to one draw of our socioeconomic data, and contains 4 columns: Country, Year, Pop, and GDP. The number in each filename corresponds to the "sample" column in the emissions data. For each row:</p> <p>- Country contains the ISO Alpha-3 code (https://www.iso.org/iso-3166-country-codes.html) of the country whose GDP and population are projected. <br> - Year contains the calendar year of the predictions. <br> - Pop contains the projected population for a given country and year, in units of thousands of people. <br> - GDP contains the projected GDP for a given country and year, in units of millions of 2011 USD. </p> <p>--- </p> <p>The probabilistic population projections were produced by Adrian E. Raftery and Hana Ševčíková (University of Washington), using the methods described by Raftery and Ševčíková (2021). Please cite this reference in any publications using these projections. Their research was supported by the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) under NIH grant number R01 HD-070936. </p> <p>The probabilistic economic and emissions projections are from Rennert et al. (forthcoming), based in part on those from Müller, Stock, and Watson (forthcoming). </p> <p>---</p> <p><strong>References </strong></p> <p>Müller, U.K, Stock, J.H., and Watson, M.W. (forthcoming). An Econometric Model of International Growth Dynamics for Long-Horizon Forecasting. The Review of Economics and Statistics, available online 30 October 2020. URL: <a href="https://direct.mit.edu/rest/article-abstract/doi/10.1162/rest_a_00997/97738/An-Econometric-Model-of-International-Growth">https://direct.mit.edu/rest/article-abstract/doi/10.1162/rest_a_00997/97738/An-Econometric-Model-of-International-Growth</a> </p> <p>Raftery, A.E. and Ševčíková, H. (2021). Probabilistic population forecasting: Short to very long-term. International Journal of Forecasting, available online 7 October 2021. URL: <a href="https://www.sciencedirect.com/science/article/pii/S0169207021001394">https://www.sciencedirect.com/science/article/pii/S0169207021001394</a> </p> <p>Rennert, K., Prest, B.C., Pizer, W., Newell, R.G., Anthoff, D., Kingdon, C., Rennels, L., Cooke, R., Raftery, A.E., Ševčíková, H, and Errickson, F. (forthcoming). The Social Cost of Carbon: Advances in Long-Term Probabilistic Projections of Population, GDP, Emissions, and Discount Rates. Brookings Papers on Economic Activity. Available online 27 October 2021. URL: <a href="https://www.rff.org/publications/working-papers/the-social-cost-of-carbon-advances-in-long-term-probabilistic-projections-of-population-gdp-emissions-and-discount-rates/">https://www.rff.org/publications/working-papers/the-social-cost-of-carbon-advances-in-long-term-probabilistic-projections-of-population-gdp-emissions-and-discount-rates/ </a></p>
The impacts of management interventions on the sociality of African lions (Panthera leo): implications for lion conservation
<ol> <li>African lion (<em>Panthera leo</em>) populations normally consist of several neighbouring prides and multiple adult males or groups of males that interact competitively. In large, open systems, cub defence from infanticidal males and territory defence drive group living in lions. However, in smaller (< 1,000 km<sup>2</sup>), fenced wildlife reserves, opportunities for natural immigration and emigration are limited which means that the evolutionary drivers of lion sociality may collapse.</li> <li>Here, we use lion behavioural data collected from 16 wildlife reserves across South Africa to test how management-induced ecological conditions alter lion social dynamics.</li> <li>The number of lionesses observed together was best predicted by pride size, prey biomass and biome. Lionesses were less likely to group together as pride size increased, but more likely to group together as prey biomass and habitat productivity increased. In addition, adult males were observed more frequently with prides that had young (< 12 months) cubs in reserves that had unfamiliar adult males present compared to reserves without any unfamiliar adult males.</li> </ol> <p>Our results demonstrate how intra-specific competition between lions drives their sociality, and this may break down in small, fenced wildlife reserves where lions are actively managed. Although small, fenced reserves in South Africa have made a significant contribution to increasing lion numbers on the continent, our work highlights several important ecological implications of active lion management. For wildlife managers, mimicking the outcomes of different levels of intra-specific competition is likely a critical management tool for the persistence of lions in small reserves.</p>
Data for: Termite nest evolution fostered social parasitism by termitophilous rove beetles
<p>Colonies of social insects contain large amounts of resources often exploited by specialized social parasites. While some termite species host numerous parasitic arthropod species, called termitophiles, others host none. The reason for this large variability remains unknown. Here we report that the evolution of termitophily in rove beetles is linked to termite nesting strategies. We compared one-piece nesters, whose entire colony life is completed within a single wood piece, to foraging species, which exploit multiple physically separated food sources. Our epidemiological model predicts that characteristics related to foraging (e.g., extended colony longevity and frequent interactions with other colonies) increase the probability of parasitism by termitophiles. We tested our prediction using literature data. We found that foraging species are more likely to host termitophilous rove beetles than one-piece nesters: 99.6% of known termitophilous species were associated with foraging termites, while 0.4% were associated with one-piece nesters. Notably, the few one-piece nesting species hosting termitophiles were those having foraging potential and access to soil. Our phylogenetic analyses confirmed that termitophily primarily evolved with foraging termites. These results highlight that the evolution of complex termite societies fostered social parasitism, explaining why some species have more social parasites than others.</p>
Data from: Behavioral adjustments in the social associations of a precocial shorebird mediate the costs and benefits of grouping decisions
<p>Animals weigh multiple costs and benefits when making grouping decisions. The cost-avoidance grouping framework proposes that group density, information quality, and risk affect an individual's preference for con- or heterospecific groups. However, this assumes the cost-benefit balance of a particular grouping is constant spatiotemporally, which may not always be true. Investigating how spatiotemporal context influences grouping choices is therefore key to understanding how animals contend with changing conditions. </p> <p>Changes in body size during development lead to variable conditions for individuals over short timescales that can influence their ecological interactions. Hudsonian godwits (Limosa haemastica), for instance, form a protective nesting association with a major predator of young godwit chicks, colonial short-billed gulls (<em>Larus brachyrhynchus</em>). Godwit broods may avoid areas of higher gull densities when chicks are susceptible to gull predation but likely experience higher risk from alternative predators as a result. Associating with conspecifics could allow godwits to buffer these costs but requires enough other broods with whom to group. </p> <p>To determine how age-dependent predation risk and conspecific density influence godwit grouping behaviors, we first quantified the time-dependent effects of con- and heterospecific interactions on the mortality risk for godwit chicks throughout development. We then determined how godwit density and chick age affected their associations with con- and heterospecifics. </p> <p>We found that younger godwit chicks' survival improved with closer association with conspecifics, earlier hatch dates, and lower gull densities, whereas older chicks survived better with earlier hatch dates, though this effect was less clear. Concomitantly, godwit broods avoided gulls early in development and when godwit densities were high but maintained loose associations with conspecifics throughout development. </p> <p>We identified how individuals can optimally shift with whom they group according to risks that vary spatially and temporally. Investigating the effects of a species' ecological interactions across spatiotemporal contexts in this way can shed light on how animals adjust their associations according to the costs and benefits of each association.</p>
Will it float? Exploring the social feasibility of floating solar energy infrastructure in the Netherlands
<p>Floating photovoltaic (FPV) is emerging as a promising renewable energy concept in which solar panels are installed on floating infrastructure to enable the production of renewable energy on water. While the body of knowledge on technical, financial and environmental aspects is expanding steadily, so far the societal implications of FPV remain largely unstudied. Here, we investigate public attitudes to a FPV pilot project at the Oostvoornse lake, the Netherlands. We conducted interviews with stakeholders to explore how the local community with high interest and involvement in the lake perceives the pilot project. Thereupon, we conducted a field survey with recreational users of the lake and carried out a random forest regression analysis to examine what factors shape recreationists’ support or opposition. Interview results show that the diversity of stakeholders and their diverging use of the Oostvoornse lake leads to a broad variety of concerns about how the pilot project could affect their activities and interests. Particularly the uncertainty on possible impacts due to the newness of FPV was a reason for stakeholders to take a reluctant stance towards the pilot. In contrast, our quantitative results show that recreationists were highly supportive of the project, mainly due to their positive attitudes towards local authorities and the broader societal benefits the pilot project is perceived to generate. Landscape alteration was identified to be by far the most important objection, which indicates that negative implications from a recreation perspective could be largely accommodated through appropriate siting decisions or other measures that mitigate visibility.</p>
A Social Network of the Prosopography of the Neo-Assyrian Empire
<p>The data used for creating "A Social Network of the Prosopography of the Neo-Assyrian Empire"</p> <p>The networks were created from the text and pdf file versions of the Prosopography of the Neo-Assyrian Empire (PNA). There are two different networks created from the same data. In the two-mode network, persons are connected to the texts in which they are attested. The one-mode network connects two persons if they are attested in the same document. </p> <p>In order to study and visualise the networks, it is sufficient to download the folder Networks.zip. SupplementaryData.zip contain more in-depth explanations of the different stages of creating the networks, the normalization lists used for that, and the output of different stages of the procedure.</p> <p>The dataset has also been described in Jauhiainen, H., & Alstola, T. (2022). A Social Network of the Prosopography of the Neo-Assyrian Empire. <em>Journal of Open Humanities Data</em>, <em>8</em>, 8. DOI: <a href="http://doi.org/10.5334/johd.74">http://doi.org/10.5334/johd.74</a>.</p> <p>For the reasons of copyright, we are not able to publish the data from which the networks have been extracted. But we hope that by publishing all the source codes, concordance lists, and outputs with explanations, we give the user a picture of how the networks were created.</p>
Datasets and R code for: Brood as booty: The effect of colony size and resource value in social insect contests
<p><strong>From the Manuscript: </strong>Animals engage in contests for access to resources like food, mates, and space. Intergroup contests between groups of organisms have received little attention, and it remains unresolved what information groups might use collectively to make contest decisions. We staged whole-colony contests using ant colonies (<em>Temnothorax rugatulus</em>), which perceive conspecific colonies as both a threat and resource from which to steal brood. We recorded individual behaviors and used demographic characteristics as proxies for resource value (number of brood items) and fighting ability (number of workers). We found that ants altered their fighting effort depending on the relative number of workers of their opponent. While the proximate mechanism for this ability remains uncertain, we found that colonies increased fighting when their opponent had relatively more brood, but not if opposing colonies had relatively many more workers. This suggests that ant colonies can use information about opposing colonies that shapes contest strategies. Further, the behavior of opposing colonies were strongly correlated with each other despite colony size differences ranging from 4-51%, consistent with the hypothesis that colonies can use opponent information. The behavior of a distributed, collective system of many individuals, like a eusocial insect colony, thus fits several predictions of contest models designed for individuals if we consider the gain and loss of worker ants analogous to energetic costs accrued during typical dyadic contests.</p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.