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5,666 results for “Social”
Inovación social: un emprendimiento con propósito
<p>Ponencia - IV Congreso Latinoamericano de Marketing Social</p>
El doble rol de la responsabilidad social empresarial de los medios de comunicación en Puno (comparativo 2015 y 2021)
<p>Ponencia - IV Congreso Latinoamericano de Marketing Social</p>
The influence of the socio-economic characteristics in the corporate social responsibility initiatives: a reference to cause-related marketing
<p>Ponencia - IV Congreso Latinoamericano de Marketing Social</p>
Impacto de la educación emprendedora en las competencias y orientación emprendedora bajo un programa de responsabilidad social
<p>Ponencia - IV Congreso Latinoamericano de Marketing Social</p>
Relación entre motivos para aplicar la Responsabilidad Social y forma de definirla
<p>Ponencia - IV Congreso Latinoamericano de Marketing Social</p>
Determinantes de la intención emprendedora social
<p>Ponencia - IV Congreso Latinoamericano de Marketing Social</p>
Supplementary material 1 from: González-Sargas E, Shafroth PB, Baró F (2024) Integrating social-ecological outcomes into invasive species management: the Tamarix case. NeoBiota 92: 173-192. https://doi.org/10.3897/neobiota.92.118502
Supplementary data
Table 1 in The first known riodinid ' cuckoo' butterfly reveals deep-time convergence and parallelism in ant social parasites
<p><b>Table 1.</b> Homoplastic ecomorphological traits shared between <i>Aricoris arenarum</i> (Riodinidae) and <i>Niphanda fusca</i> (Lycaenidae) (for details, see Fig. 8 and Discussion)</p><table><tbody><tr><th>Ecomorphological trait</th><th>Potential type of homoplasy</th><th>Hypothetical adaptive significance</th></tr></tbody><tbody><tr><th>Ant–hemipteran-dependent oviposition</th><td>Convergence</td><td>Increases the likelihood of interaction</td></tr><tr><th>Loss of plant specificity and oviposition on Poaceae</th><td>Convergence</td><td>Exploitation of new ant–plant– hemipteran systems</td></tr><tr><th>Feed on liquids (hemipteran honeydew and ant regurgitations)</th><td>Convergence</td><td>Reduction of symbiotic cost by not feeding directly on plant tissue, hemipterans or ants</td></tr><tr><th>Social parasitism</th><td>Convergence</td><td>Stable and enemy-free environment (ant nest) during cold months and nutritional benefits</td></tr><tr><th>Pinkish last instar caterpillars</th><td>Convergence</td><td>Lack of plant pigments and/or no selection for visual crypsis</td></tr><tr><th>Long thoracic setae directed forwards</th><td>Parallelism and convergence</td><td>Tactile communication with hemipterans and ants</td></tr><tr><th>Reduction of dorsal setae on metathorax</th><td>Parallelism</td><td>Improved mobility of the anterior portion, facilitating ant trophallaxis</td></tr><tr><th>Tentacle organs on eighth abdominal segment</th><td>Convergence and parallelism</td><td>Chemical communication with tending ants</td></tr></tbody></table>
THE PSYCHOLOGICAL CHARACTERISTICS OF ADOLESCENTS' SOCIAL PERCEPTIONS OF MONEY
Open the record for dataset details and reuse information.
THE IMPACT OF SOCIAL CAPITAL AND SELF-EFFICACY ON FARMERS' WELL-BEING IN GUIZHOU PROVINCE, CHINA
Open the record for dataset details and reuse information.
Bluesky Social Dataset
<h1>Bluesky Social Dataset</h1> <p>Pollution of online social spaces caused by rampaging d/misinformation is a growing societal concern. However, recent decisions to reduce access to social media APIs are causing a shortage of publicly available, recent, social media data, thus hindering the advancement of computational social science as a whole. We present a large, high-coverage dataset of social interactions and user-generated content from Bluesky Social to address this pressing issue.</p> <p>The dataset contains the complete post history of over 4M users (81% of all registered accounts), totaling 235M posts. We also make available social data covering follow, comment, repost, and quote interactions.</p> <p> Since Bluesky allows users to create and bookmark feed generators (i.e., content recommendation algorithms), we also release the full output of several popular algorithms available on the platform, along with their “like” interactions and time of bookmarking.</p> <h2>Dataset</h2> <p>Here is a description of the dataset files.</p> <ul> <li><strong>followers.csv.gz.</strong> This compressed file contains the anonymized follower edge list. Once decompressed, each row consists of two comma-separated integers representing a directed following relation (i.e., user u follows user v).</li> <li><strong>user_posts.tar.gz. </strong>This compressed folder contains data on the individual posts collected. Decompressing this file results in a collection of files, each containing the post of an anonymized user. Each post is stored as a JSON-formatted line.</li> <li><strong>interactions.csv.gz. </strong>This compressed file contains the anonymized interactions edge list. Once decompressed, each row consists of six comma-separated integers representing a comment, repost, or quote interaction. These integers correspond to the following fields, in this order: user_id, replied_author, thread_root_author, reposted_author,quoted_author, and date.</li> <li><strong>graphs.tar.gz.</strong> This compressed folder contains edge list files for the graphs emerging from reposts, quotes, and replies. Each interaction is timestamped. The folder also contains timestamped higher-order interactions emerging from discussion threads, each containing all users participating in a thread.</li> <li><strong>feed_posts.tar.gz.</strong> This compressed folder contains posts that appear in 11 thematic feeds. Decompressing this folder results in 11 files containing posts from one feed each. Posts are stored as a JSON-formatted line. Fields are correspond to those in posts.tar.gz, except for those related to sentiment analysis (sent_label, sent_score), and reposts (repost_from, reposted_author);</li> <li><strong>feed_bookmarks.csv.</strong> This file contains users who bookmarked any of the collected feeds. Each record contains three comma-separated values: the feed name, user id, and timestamp.</li> <li><strong>feed_post_likes.tar.gz.</strong> This compressed folder contains data on likes to posts appearing in the feeds, one file per feed. Each record in the files contains the following information, in this order: the id of the ``liker'', the id of the post's author, the id of the liked post, and the like timestamp;</li> <li><strong>scripts.tar.gz. </strong>A collection of Python scripts, including the ones originally used to crawl the data, and to perform experiments. These scripts are detailed in a document released within the folder.</li> </ul> <p> </p> <h3>Citation</h3> <p>If used for research purposes, please cite the following paper describing the dataset details:</p> <p><em>Andrea Failla and Giulio Rossetti. "I'm in the Bluesky Tonight: Insights from a Year's Worth of Social Data." </em>PlosOne<em> (2024) </em><em><a href="https://doi.org/10.1371/journal.pone.0310330">https://doi.org/10.1371/journal.pone.0310330</a></em></p> <p> </p> <h3><strong>Right to Erasure (Right to be forgotten)</strong></h3> <blockquote> <p><strong>Note: </strong>If your account was created after March 21st, 2024, or if you did not post on Bluesky before such date, no data about your account exists in the dataset. Before sending a data removal request, please make sure that you were active and posting on bluesky before March 21st, 2024.</p> </blockquote> <p>Users included in the Bluesky Social dataset have the right to opt-out and request the removal of their data, per GDPR provisions (<a href="https://gdpr-info.eu/art-17-gdpr/">Article 17</a>). </p> <p>We emphasize that the released data has been thoroughly pseudonymized in compliance with GDPR (<a href="https://gdpr-info.eu/art-4-gdpr/">Article 4(5)</a>). Specifically, usernames and object identifiers (e.g., URIs) have been removed, and object timestamps have been coarsened to protect individual privacy further and minimize reidentification risk. Moreover, it should be noted that the dataset was created for scientific research purposes, thereby falling under the scenarios for which GDPR provides opt-out derogations (<a href="https://gdpr-info.eu/art-17-gdpr/">Article 17(3)(d)</a> and <a href="https://gdpr-info.eu/art-89-gdpr/">Article 89</a>).</p> <p>Nonetheless, if you wish to have your activities excluded from this dataset, please submit your request to <a href="mailto:blueskydatasetmoderation@gmail.com">blueskydatase</a><a href="mailto:blueskydatasetmoderation@gmail.com">tmoderation@gmail.com </a><a rel="noopener">(with the subject <em>"Removal request: [username]"</em>)</a><strong>. </strong>We will process your request within a reasonable timeframe - updates will occur monthly, if necessary, and access to previous versions will be restricted.</p> <p> </p> <h3>Acknowledgments:</h3> <p>This work is supported by :</p> <ul> <li>the European Union – Horizon 2020 Program under the scheme “INFRAIA-01-2018-2019 – Integrating Activities for Advanced Communities”, <br>Grant Agreement n.871042, “SoBigData++: European Integrated Infrastructure for Social Mining and Big Data Analytics” (http://www.sobigdata.eu); </li> <li>SoBigData.it which receives funding from the European Union – NextGenerationEU – National Recovery and Resilience Plan (Piano Nazionale di Ripresa e Resilienza, PNRR) – Project: “SoBigData.it – Strengthening the Italian RI for Social Mining and Big Data Analytics” – Prot. IR0000013 – Avviso n. 3264 del 28/12/2021;</li> <li>EU NextGenerationEU programme under the funding schemes PNRR-PE-AI FAIR (Future Artificial Intelligence Research). </li> </ul>
Data from: Longitudinal evidence that older parents produce offspring with longer telomeres in a wild social bird
<p>As telomere length (TL) often predicts survival and lifespan, there is considerable interest in the origins of inter-individual variation in TL. Cross-generational effects of parental age on offspring TL are thought to be a key source of variation, but the rarity of longitudinal studies that examine the telomeres of successive offspring born throughout the lives of parents leaves such effects poorly understood. Here, we exploit TL measures of successive offspring produced throughout the long breeding tenures of parents in wild white-browed sparrow weaver (<i>Plocepasser mahali</i>) societies, to isolate the effects of within-parent changes in age on offspring TLs. Our analyses reveal the first evidence to date of a positive within-parent effect of advancing age on offspring TL: as individual parents age they produce offspring with longer telomeres (a modest effect that persists into offspring adulthood). We consider the potential for pre- and post-natal mechanisms to explain our findings. As telomere attrition predicts offspring survival to adulthood in this species, this positive parental age effect could impact parent and offspring fitness if it arose via differential telomere attrition during offspring development. Our findings support the view that cross-generational effects of parental age can be a source of inter-individual variation in TL.</p>
Identifying relationships between multi-scale social-ecological factors to explore ungulate health in a Western Kazakhstan rangeland
<p>1. Rangelands are multi-use landscapes which are socially and ecologically important in different ways. Among other interactions, shared use of rangelands by wildlife and livestock can lead to disease transmission. Understanding wildlife and livestock health and managing disease transmission in rangelands requires an integration of social and ecological knowledge.</p> <p>2. Using the example of Western Kazakhstan, home to two types of ungulate hosts, the critically-endangered saiga antelopes, <i>Saiga tatarica</i>, and livestock, we conducted a cross-scale analysis of social-economic, ecological and climatic factors that contribute to transmission of diseases. We focused on Gastro-intestinal Nematodes (GINs) because they are transmitted between hosts that share pasture and they affect ungulate fitness. We used an interdisciplinary social-ecological methods approach which included conducting fecal egg counts of GINs in saigas and livestock, semi-structured interviews and focus group discussions with livestock owners and herders in the region, and triangulation of information through secondary sources.</p> <p>3. Livestock rearing was done in two ways a) village-based livestock and b) outlying farms. The latter overlapped more with saigas. Village-based livestock had significantly higher worm burdens than those on outlying farms, which had comparable burdens to saigas. Various factors exacerbate GIN prevalence and transmission: Veterinary services are minimal; both saiga and livestock numbers are increasing; and changing climate is increasing farmers' dependence on shared pastures for hay production. It will be crucial for saiga conservationists to engage in multi-pronged conservation interventions, which are evaluated and adapted through the lens of rural livelihoods and the livestock health on which they depend.</p> <p>4. <em>Synthesis and Application: </em>Our work provides researchers and practitioners with an avenue to better understand complex inter-relationships and plan interventions within rangelands, while viewing host health from an interdisciplinary perspective - ultimately working towards wildlife conservation whilst safeguarding livelihoods across the world's rangelands.</p>
Community perception on the development of rural community-based tourism amid social tensions in Colombia
<p>This file contains the data which figures 2 and 4 were constructed with.</p>
Fig. 1 in Feeding and social behavior of the piabanha, Brycon devillei (Castelnau, 1855) (Characidae: Bryconinae) in the wild, with a note on following behavior
Fig. 1. Observed frequency of foraging tactics of Brycon devillei in the RPSP between April 2006 and July 2009.
Landscape cover type, not social dominance, is associated with the winter movement patterns of snowy owls in temperate areas
<p>Migrating animals occur along a continuum from species that spend the nonbreeding season at a fixed location to species that are nomadic during the nonbreeding season, essentially continuously moving. Such variation is likely driven by the economics of territoriality or heterogeneity in the environment. The Snowy Owl (<i>Bubo scandiacus</i>) is known for its complex seasonal movements, and thus an excellent model to test these ideas, as many individuals travel unpredictably along irregular routes during both the breeding and nonbreeding seasons. Two possible explanations for this large variation in the propensity to move are: (1) dominance hierarchies in which dominant individuals (adult females in this case) monopolize some key, consistent resources, and move less than subdominants and (2) habitat heterogeneity in which individuals foraging in rich and less heterogenic environments are less mobile. We analyzed fine-scale telemetry data (GPS/GSM) from 50 Snowy Owls tagged in eastern and central North America from 2013–2019, comparing space use during the winter period according to sex and age, and to land cover attributes. We used variograms to classify individuals as nomadic (58%) or range-resident (42%), and found that nomadic owls had ten times larger wintering areas than range-resident owls. The frequency of nomadism was similar in socially-dominant adult females, immatures and males. However, nomadism increased from west to east, and north to south, and was positively associated with use of water and negatively associated with croplands. We conclude that many individual Snowy Owls in Eastern North America are nomadic during the nonbreeding season and that movement patterns during this time are driven primarily by extrinsic factors, specifically heterogeneity in habitat and prey availability, as opposed to intrinsic factors associated with spacing behavior, such as age and sex.</p>
Supplementary material 4 from: Schmidt K, Walz A (2021) Ecosystem-based adaptation to climate change through residential urban green structures: co-benefits to thermal comfort, biodiversity, carbon storage and social interaction. One Ecosystem 6: e65706. https://doi.org/10.3897/oneeco.6.e65706
Habitat types in the four courtyards
Supplementary material 2 from: Schmidt K, Walz A (2021) Ecosystem-based adaptation to climate change through residential urban green structures: co-benefits to thermal comfort, biodiversity, carbon storage and social interaction. One Ecosystem 6: e65706. https://doi.org/10.3897/oneeco.6.e65706
Tree height in the four courtyards
Supplementary material 1 from: Schmidt K, Walz A (2021) Ecosystem-based adaptation to climate change through residential urban green structures: co-benefits to thermal comfort, biodiversity, carbon storage and social interaction. One Ecosystem 6: e65706. https://doi.org/10.3897/oneeco.6.e65706
Questionnaire User Survey Potsdam Drewitz, August 2020
Supplementary material 7 from: Schmidt K, Walz A (2021) Ecosystem-based adaptation to climate change through residential urban green structures: co-benefits to thermal comfort, biodiversity, carbon storage and social interaction. One Ecosystem 6: e65706. https://doi.org/10.3897/oneeco.6.e65706
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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.