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Open Chat Series: How-to-Advocacy "Why advocate for open scholarly communication in the social sciences and humanities?"
<p>On the 21.10.2022 Alíz Horváth, researcher, expert in East Asian studies, creator of “Humanista” podcast - and member of OPERAS's Special Interest Group "Advocacy" moderated an Open Chat with our guest speaker Per Pippin Aspaas, Head of Library Research and Publishing Support at the UiT in Tromsø, discussing the question "Why advocate for scholarly communication in the social sciences and humanities?"</p>
Social network differences and phenotypic divergence between stickleback ecotypes
<p><span></span></p> <p>Elucidating the mechanisms underlying differentiation between populations is essential to our understanding of ecological and evolutionary processes. While social network analysis has yielded numerous insights in behavioral ecology in recent years, it has rarely been applied to questions about population differentiation. Here, we use social network analysis to assess the potential role of social behavior in the recent divergence between two three-spined stickleback ecotypes, "whites" and "commons". These ecotypes differ significantly in their social behavior and mating systems as adults, but it is unknown when or how differences in social behavior develop. We found that as juveniles, the white ecotype was bolder and more active than the common ecotype. Furthermore, while there was no evidence for assortative shoaling preferences, the two ecotypes differed in social network structure. Specifically, groups of the white ecotype had a lower clustering coefficient than groups of the common ecotype, suggesting that groups of the white ecotype were characterized by the formation of smaller subgroups, or 'cliques'. Interestingly, ecotypic differences in clustering coefficient were not apparent in mixed groups composed of whites and commons. The formation of cliques could contribute to population divergence by restricting the social environment that individuals experience, potentially influencing future mating opportunities and preferences. These findings highlight the insights that social network analysis can offer into our understanding of population divergence and reproductive isolation.</p>
Data for: Intergenerational genotypic interactions drive collective behavioural cycles in a social insect
<p>Many social animals display collective activity cycles based on synchronous behavioural oscillations across group members. A classic example is the colony cycle of army ants, where thousands of individuals undergo stereotypical biphasic behavioural cycles of about one month. Cycle phases coincide with brood developmental stages, but the regulation of this cycle is otherwise poorly understood. Here, we probe the regulation of cycle duration through interactions between brood and workers in an experimentally amenable army ant relative, the clonal raider ant. We first establish that cycle length varies across clonal lineages using long-term monitoring data. We then investigate the putative sources and impacts of this variation in a cross-fostering experiment with four lineages combining developmental, morphological, and automated behavioural tracking analyses. We show that cycle length variation stems from variation in the duration of the larval developmental stage, and that this stage can be prolonged not only by the clonal lineage of brood (direct genetic effects), but also of the workers (indirect genetic effects). We find similar indirect effects of worker line on brood adult size and, conversely but more surprisingly, indirect genetic effects of the brood on worker behaviour (walking speed and time spent in the nest).</p>
Dataset: Energy services' access deprivation in Mexico: A geographic, climatic and social perspective
<p>This dataset contains all the information at the municipal level from the publication "Energy services' access deprivation in Mexico: A geographic, climatic and social perspective" published in Energy Policy (DOI: <a href="https://doi.org/10.1016/j.enpol.2022.112822">10.1016/j.enpol.2022.112822</a>).</p> <p>The information contains key categorizations on energy services access at the municipal level in Mexico, classified per climatic zone. It is complemented with key information on population and households at the municipal level.</p> <p>The raw data sources used to produce this secondary data are listed below. A detailed methodological description is available in the primary article (DOI: <a href="https://doi.org/10.1016/j.enpol.2022.112822">10.1016/j.enpol.2022.112822</a>) and the article "Dataset of household energy services access and socioeconomic variables in Mexico" to be published in Data in Brief. </p> <p>Raw data:</p> <ul> <li>2015 Intercensal Survey: <a href="https://www.inegi.org.mx/programas/intercensal/2015/">https://www.inegi.org.mx/programas/intercensal/2015/</a></li> <li>Poverty Index by Municipality in Mexico 2015: <a href="https://www.coneval.org.mx/Medicion/Paginas/PobrezaInicio.aspx">https://www.coneval.org.mx/Medicion/Paginas/PobrezaInicio.aspx</a></li> <li>Raster Map of Climates: <a href="https://www.inegi.org.mx/temas/climatologia/#Mapa">https://www.inegi.org.mx/temas/climatologia/#Mapa</a></li> </ul> <p>The dataset's geographic scope is as follows:</p> <ul> <li>City/Town/Region: All municipalities</li> <li>Country: Mexico</li> </ul>
Two simple movement mechanisms for spatial division of labour in social insects
<p>Many animal species divide space into a patchwork of home ranges, yet there is little consensus on the mechanisms individuals use to maintain fidelity to particular locations. Theory suggests that animal movement could be based upon simple behavioural rules that use local information such as olfactory deposits, or global strategies, such as long-range biases toward landmarks. However, empirical studies have rarely attempted to distinguish between these mechanisms. Here, we perform individual tracking experiments on four species of social insects, and find that colonies consist of different groups of workers that inhabit separate but partially-overlapping spatial zones. Our trajectory analysis and simulations suggest that worker movement is consistent with two local mechanisms: one in which workers increase movement diffusivity outside their primary zone, and another in which workers modulate turning behaviour when approaching zone boundaries. Parallels with other organisms suggest that local mechanisms might represent a universal method for spatial partitioning in animal populations.</p>
Data for: Similar environmental cues guide timing of breeding and seasonal shifts in songbird social structure
<p>Seasonally breeding animals often exhibit different social structures during non-breeding and breeding periods that coincide with seasonal environmental variation. Therefore, ongoing climate change may play an important role in determining the future structure of animal societies, especially if climate determines when seasonal shifts in social structure occur. However, we know little about the environmental cues that determine the timing of seasonal shifts in social structure, a lack of knowledge that contrasts with our well-defined knowledge of the environmental cues that trigger a shift to breeding physiology in seasonally breeding species. Here we tested whether the environmental cues that drive seasonal shifts in social structure are similar to those that determine timing of breeding in the red-backed fairywren (<em>Malurus melanocephalus</em>), an Australian songbird. Social network analyses revealed that social groups, which are highly territorial during the breeding season, interact in social "communities" on larger ranges during the non-breeding season. Interactions among non-breeding groups were related to rainfall, with more rainfall leading to reductions in home range size and fewer interactions among non-breeding social groups. Similarly, onset of breeding was also determined by rainfall during the non-breeding season, with greater rainfall leading to earlier breeding. These findings reveal that for some species, the cues that determine the timing of shifts in social structure across seasonal boundaries can be similar to those that determine timing of breeding. This study increases our understanding of how social structure and the selection pressures that result from different social structures might respond to changing climates.</p>
LiftWEC Social Acceptability Dataset
<p>This document contains LiftWEC’s social acceptability dataset. The dataset consists of interview transcripts sourced from semi-structured discussions conducted by a LiftWEC researcher and a range of stakeholders relevant to the field of marine renewable energy production. Semi-structured interviews were conducted with relevant actors between September and November of 2021. A snowball sampling approach was used for the selection of actors to be interviewed. Beginning with a small population of socio-political actors, this study developed a larger sample by learning from initial participants and identifying others who were relevant to the study. Interviewees were drawn up through a process of mapping, ensuring that a variety of actors holding different roles and located in different European nations engaged with the study and provided insight. Participants were then selected based upon the likelihood of having a detailed understanding of the emerging problems confronting marine renewable energy. Informed by literature, it was decided to categorise actors within three distinct profiles; (i) <em>socio-political actors</em>, (ii) <em>market actors</em>, and (iii) <em>community actors</em>. Three examples of interview transcripts, one from an actor relating to each of the aforementioned profiles, are presented in this dataset.</p> <p>The interviews were designed from the outset to allow for the analysis of debate regarding the social acceptance of novel and emerging marine renewable energy. Interviewees were prompted to discuss their perceptions of the current challenges and opportunities facing marine renewable energy technologies and their experience of how social acceptance issues are managed, and provide recommendations for the future. To support the free development and uptake of individual opinions from a variety of stakeholders, interviews were conducted on a one-to-one basis. A semi-structured interview guideline – an example is presented in section 3 of this dataset – was developed to gather data regarding the specific research objectives of the study. The interview guidelines helped to ensure comparability across interviews, especially across different countries and contexts. The questions that are part of the guideline are open questions, i.e., interview partners did not have fixed options for answering them. This provided interviewees with the possibility of freely choosing which aspect they wanted to put an emphasis or which aspects they wanted to mention. Furthermore, semi-structured interviews enabled the interviewer to spontaneously rephrase or add questions if the answers provided by the interviewee left too much room for interpretation or were not fully clear. All interviews lasted for a duration of between 40 minutes and one hour.</p> <p>This study that these interviews spawned from was conducted in line with the guidelines and standards set by the Queen’s University of Belfast’s Code of Conduct and Integrity in Research and its Policy and Principles on the Ethical Approval of Research. Free and informed consent was obtained from all participants prior to the collection of data from online interviews. All interviewees were provided with a project information sheet and a consent form prior to meeting, and participants were fully briefed on what the research involves. It was also explained how anonymity and confidentiality will be achieved. Permission was also sought for the audio of the meetings to be recorded and participants were made aware of their right to withdraw within one month of data gathering without penalty. Consent was also obtained for the data to be used for research purposes and for future publication. Confidentiality, a hugely important consideration in research, was ensured at all times during the course of the research.</p>
Socio-demographic portrait and demographic values of pro-natalists and anti-natalists in Russia: assessment based on data from the social network VKontakte
<p>The dataset contains data from personal profiles of social network users VKontakte - socio-demographic characteristics (gender, age, date of birth, marital status, country and city of residence) and indicators of demographic values (“the main thing in life”, attitude to alcohol, attitude to smoking, pronatalist or anti-natalist), as well as a number of other indicators - religious and political beliefs,<br> "the main thing in people." Initially, as a selection criterion, the authors used belonging user to the relevant communities (groups) of the VKontakte social network, sharing different family and reproductive values (to be a parent, to give birth child, start a family or profess the values of childfree philosophy). For example, persons who were members of groups devoted to "childfree" values were assigned the status "anti-natalist". And individuals in groups devoted to issues of childbirth and family values, parenthood, were assigned the status of "pronatalist". For example, groups with the names "GOOD PARENTS" (https://vk.com/club52388302) and "MOM: Development, Family, Children" (https://vk.com/club69716165) are pronatalist, and groups "The TRUTH about Childfree (Childfree)" (https://vk.com/club58565280) and "Overheard Childfree" (https://vk.com/club69265846) - to anti-natalist ones. The authors extracted comments of users of these two types of groups in the social network VKontakte, applying methods of extraction (parsing) of data from social networks using VK API. Organized open access to databases compiled by us from hundreds<br> thousand comments from users of dozens of groups of two types in more than one and a half decades [Kalabikhina &amp; Banin, 2020; Kalabikhina &amp; Banin, 2021]. Further, the authors linked the data of their personal data to users from these groups.<br> questionnaires. At the second stage, the resulting sample was additionally corrected - in it only those persons who filled in the field "The main thing in life" in the personal questionnaire on VKontakte to determine priority values for users with different types of reproductive behavior. Include in the analysis only those users who answered the question from personal questionnaire on VKontakte about what is most important for them in life, allows reduce the risk of "bots" getting into the sample. We believe that in the questionnaires of bots such fields as "The main thing in life", "The main thing in people" will not be filled in, the indication of this<br> information in the personal profile testifies in favor of the fact that the account is really belongs to a real person. At this stage, the sample included 754,315 users. Additionally, we limited the sample according to the age indicated in the questionnaire. We excluded from the sample users who indicated their age of 80 years and older. We we believe that this is an indirect sign by which it is possible to identify accounts with inaccurate information. The final sample after the introduced restrictions was 377,786 people, it includes users of the social network VKontakte, consisting of groups of anti-natalists and pro-natalists who filled in the information section about themselves item "The main thing in life" minus persons who indicated in the questionnaire that they are over 80 years old.</p>
A Water-Focused Social Accounting Matrix for Jordan
<p>The 2015 Water-Focused Social Accounting Matrix (WF-SAM) for Jordan represents a significant enhancement over the existing SAM introduced by (Raouf et al., 2021). This enhancement lies in its comprehensive integration of the water sector at the micro-account level. Constructed with thorough attention to detail, the 2015 WF-SAM for Jordan draws upon a triad of distinct data sources. <em>Firstly</em>, it incorporates micro-account data derived from the foundational SAM developed by Raouf et al. in 2021, acknowledged as the most contemporary SAM for Jordan, benefiting from current national and international data sources. <em>Secondly</em>, a contribution stems from the 2017 reports of the General Budget Department (GBD), furnishing actual financial allocations of Jordanian water utilities (General Budget Department, 2017a, 2017f, 2017e, 2017d, 2017c, 2017b). Adapting these allocations into novel account totals and deficits within the WF-SAM framework amplifies its comprehensiveness. The <em>third</em> data source comes from (MWI, 2015)and (Salamah, 2021), disclosing the nuanced cash flow interplay between the water-centric accounts and the entire economy, for instance, the municipal water sector allocates 12% of its total expenditures to the electricity commodity, establishing a symbiotic relationship. This calibrated interdependence of sectors elevates the precision and disaggregation of the 2015 WF-SAM for Jordan.</p> <p>Out of the convention in this documentation, the 2015 JO SAM by (Raouf et al., 2021) is used in constructing proto-SAM and is identified as "Base-SAM." To enhance and modernize the representation of the water sector within the Base-SAM, budgetary components sourced from audited national public budget documents were carefully correlated with corresponding accounts within the SAM structure, adhering to the established ISIC standard economic classifications. This alignment resulted in the creation of a preliminary SAM, although it entailed further refinement to achieve equilibrium. Employing the cross-entropy SAM estimation algorithm, as set forth by (Robinson et al., 1998)), facilitated the fulfilment of the ultimate balanced state. The resultant Water-Focused Social Accounting Matrix (WF-SAM) is enclosed within the attached Excel workbook.</p> <p>The WF-SAM for Jordan, includes 155 accounts, 57 activities, 63 commodities, one transaction cost account, 13-factor accounts, ten household accounts plus one enterprise account, and seven government-related accounts: one for the government itself and six for direct and indirect taxes and subsidies, with one saving and investment account and one currency exchange account, the rest of the world is represented in one account,” RoW.” The water sector is represented in three commodity accounts, two activity accounts, and one water subsidies account.</p> <p>This dataset (WF-SAM) enables future research on an array of scenarios and shocks to assess policymakers in the ex-ante assessment of policy options and market conditions. The findings of this study provide valuable insights into the interplay between the water sector and the Jordanian economy and can inform policy decisions related to water resource management and development.</p>
Data for the paper, "Social media data for environmental sustainability: a critical review of opportunities, threats and ethical use"
<p>These data were collected for the paper, "Social media data for environmental sustainability: a critical review of opportunities, threats and ethical use" published in One Earth. It includes a database of studies applying social media data in environmental sustainability research, which were collected and reviewed in full by the authors. Rather than providing a comprehensive summary of all relevant literature like in a systematic review, our objective was to take stock and evaluate the previous body of work in the field in order to promote conceptual innovation from its critical examination. Building on a set of 169 studies collected in a previous systematic review of social media data applications in environmental research (Ghermandi and Sinclair 2019), the database includes additional relevant studies that were identified by snowballing previous references and adding further gray and scientific academic articles known to the authors. For studies to be included in our analysis, they had to involve the use of data from one or more social media platforms and investigate human interactions with and/or impacts on the environment. We relied on a broad definition of social media including any website or application that enables users to create and share content or to participate in social networking (e.g., blogging sites, recommendation sites, and online forums). We further strengthened the analysis by including insights from additional literature on social media that do not have a direct application to environmental sustainability (e.g., studies on biases in social media data). The final database consists of 415 studies, which were published between 2011 and 2021.</p> <p> </p> <p>Ghermandi, Andrea, and Michael Sinclair. "Passive crowdsourcing of social media in environmental research: A systematic map." <em>Global environmental change</em> 55 (2019): 36-47.</p>
Data set for paper "Spatial Mobility Capital: A Valuable Resource for the Social Mobility of Border-Crossing Migrant Entrepreneurs?"
<p>Data set for paper "Spatial Mobility Capital: A Valuable Resource for the Social Mobility of Border-Crossing Migrant Entrepreneurs?"</p>
Data from: Assessing the reproductive consequences of mate retention and pair bond duration in Thorn-tailed Rayadito (Aphrastura spinicauda), a short-lived, socially monogamous Neotropical bird
<p><strong>Description for "PairingData_Aspinicauda.xlsx" file.</strong></p> <p>Data from: Assessing the reproductive consequences of mate retention and pair bond duration in Thorn-tailed Rayadito (Aphrastura spinicauda), a short-lived, socially monogamous Neotropical bird<br> MS Reference Number: IBIS-2022-OA-113.R2<br> Article DOI: 10.1111/ibi.13183</p> <p>Please address questions to:</p> <p>Esteban Botero D.<br> Guest Scientist<br> Max Planck Institute for Ornithology<br> Dep. Behavioural Ecology and Evolutionary Genetics<br> Eberhard-Gwinner-Str. 8<br> 82319 Seewiesen, Germany<br> Telephone: +49 8157 932453<br> http://www.orn.mpg.de/en<br> e-mail: eboterod@gmail.com; ebotero@orn.mpg.de</p> <p>=====================================================================================<br> =====================================================================================</p> <p><br> General information:</p> <p>The whole dataset contains breeding data collected from a population of the furnariid Thorn-tailed rayadito (Aphrastura spinicauda) in north-central Chile (Fray Jorge National Park; 30º38’S, 71º40’W). These data were collected during 2009–2017 as part of a long-term study on the breeding biology of rayaditos. In this study, data were used to evaluate the consequences of mate replacement versus mate retention using 243 breeding attempts made by 159 different breeding pairs. This, in the end, allowed to test whether successive remating conferred reproductive benefits to reunited pairs.</p> <p>The data set is comprised by an Excel file (three spreadsheets) that are explained below.</p> <p>*************************************************************************************</p> <p>Excel file "PairingData_Aspinicauda.xlsx" (created 11-01-2023)</p> <p><br> ********** Spreadsheet "1. AllPairs" **********<br> This spreadsheet contains information from all breeding attempts monitored during the study (n = 243). Each row correspond to a unique breeding attempt. The ring number is used as an ID for each individual. The matrix includes information regarding individual and pair identification, age, previous breeding status (whether an individual is a widow or a divorcee), current pairing status (whether is a newly formed pair or a reunited pair), number of seasons breeding together for each pair, confidence on pairing information for each pair (high: there was absolute confidence on the previous breeding status of both members of a breeding pair; low: when information on previous breeding status was missing for at least one of the members of a pair), and measures of reproductive success (laying day, clutch size, umber of fledglings produced). This dataset can be saved as a *.txt file so that it can be imported into R (R Core Team 2020).</p> <p>The matrix contains the following variables:</p> <p>VARIABLE DESCRIPTION</p> <p>Year Sampling year.<br> Box Nestbox code.<br> FID ID for the breeding female.<br> FMAge Age for each breeding female (yearling: 1; adult: 2).<br> SocMID ID for the breeding male (social father of the clutch).<br> SocMaAge Age for each breeding male.<br> PairID ID for the breeding pair. This is for indexing purposes.<br> FPaSta Previous breeding status of the female (Wid: widow; Div: divorcee; Reu: reunited).<br> MPaSta Previous breeding status of the male (Wid: widow; Div: divorcee; Reu: reunited).<br> PairSta Pairing status for the focal breeding pair (New: newly formed; Reunited: reunited).<br> PairSea No. of seasons breeding together for each pair.<br> Certainty Certainty on previous breeding status (High or Low; see explanation above).<br> LayingD Laying date (number of days in relation to date of first egg in the population).<br> ClutchS Clutch size.<br> NoFle Number of fledging produced.</p> <p><br> ********** Spreadsheet "2. WidowFBre" **********<br> This spreadsheet contains breeding information for females that were monitored in the years before and after mate loss.</p> <p>The matrix contains the following variables:</p> <p>VARIABLE DESCRIPTION</p> <p>Year Sampling year.<br> Box Nestbox code.<br> FID ID for the breeding female.<br> LayingD Laying date during year after mate loss.<br> ClutchS Clutch size during year after mate loss.<br> NoFle Number of fledging produced during year after mate loss.<br> FPaSta Previous breeding status of the female (Wid: widow; Div: divorcee; Reu: reunited).<br> LayingD_x.1 Laying date during year before mate loss (year x-1).<br> ClutchS_x.1 Clutch size during year before mate loss (year x-1).<br> NoFle_x.1 Number of fledging produced during year before mate loss (year x-1).</p> <p><br> ********** Spreadsheet "3. WidowMBre" **********<br> This spreadsheet contains breeding information for males that were monitored in the years before and after mate loss.</p> <p>The matrix contains the following variables:</p> <p>VARIABLE DESCRIPTION</p> <p>Year Sampling year.<br> Box Nestbox code.<br> SocMID ID for the breeding male.<br> LayingD Laying date during year after mate loss.<br> NoFle Number of fledging produced during year after mate loss.<br> MPaSta Previous breeding status of the female (Wid: widow; Div: divorcee; Reu: reunited).<br> LayingD_x.1 Laying date during year before mate loss (year x-1).<br> NoFle_x.1 Number of fledging produced during year before mate loss (year x-1).</p> <p>*************************************************************************************</p> <p><br> =====================================================================================</p> <p><br> Methodological information (for more details, please see the related manuscript):</p> <p>A total of 101–157 nestboxes were installed in Fray Jorge since 2007, and are monitored annually during September–December. We gathered data on reproductive phenology and productivity during 2008–2017 for all nestbox occupants. Nestboxes were initially visited every 3–5 days to detect nest building. Once nestboxes were occupied, we increased the frequency of visits to record data on laying date, clutch size, and the number of hatchlings and fledglings produced (see more details in Botero-Delgadillo et al. 2017). We captured and marked breeding adults and nestlings with numbered aluminium rings when nestlings were 12–14 days old. Additionally, we used mist nets to capture adult birds breeding in natural cavities in our study site. A total of 248 adults (132 females, 116 males) and 730 nestlings were marked. For all nests that were monitored, we marked ~90% of all breeding adults every year.</p> <p>We used data from a total of 243 breeding attempts made by 159 breeding pairs captured during 2009–2017 to describe mating patterns in the study population, including: (i) the duration of social bonds for all breeding pairs formed during the study; (ii) the proportion of newly formed and remated pairs found during the entire study period and during each year; and (iii) the proportion of divorce versus mate loss causing pair dissolution.</p> <p>The consequences of mate retention and successive remating were evaluated by performing mixed-effects models in the lme4 package (Bates et al. 2015) in the free software R 4.0.2 (R Core Team 2020). To assess whether reproductive success was higher for remated pairs than for newly formed pairs, we tested for the effects of pairing status (newly formed vs. remated) on measures of breeding productivity. Linear models were fit for laying date, clutch size, and number of fledglings produced. To control for between-season variation in reproductive output, we calculated Z-scores for all numeric response variables using the mean and standard deviation for each year. All models included age class of both members of a breeding pair as covariates (yearling vs. adult), and female, male and pair ID as random intercepts. First, we performed analyses on the complete set of 243 breeding attempts, and subsequently repeated the analyses on a reduced subset of data that only contained pairs whose previous pairing status was known with certainty (n = 159). This allowed to evaluate potential bias in our results, given that the complete dataset included pairs misclassified as “newly formed”, because the previous pairing status of older individuals that we captured for the first time is unknown.</p> <p>We also investigated whether individuals experienced reduced reproductive success after mate replacement. To test this, we compared breeding productivity of individuals in the years before and after mate loss. We focused the analysis on widowed birds, as the frequency of divorced individuals was low in the study population. We used linear mixed-effects models that included data on laying date, clutch size, and number of fledglings produced as response variables. Each sex was tested separately, with clutch size being evaluated only for females. We included the breeding season as predictor (year x vs. x-1), and entered individual ID as a random intercept.</p> <p>Lastly, to evaluate whether successive remating influenced reproductive success, we used data on pairs that bred more than once together during the study (n = 132). Linear mixed-effects models were fitted to assess the effect of the number of seasons breeding together on laying date, clutch size, and number of fledglings produced. Between-season effects were controlled as described above, while the number of seasons breeding together (range: 1–6) was introduced as predictor. Given the skewed distribution of the number of seasons breeding together in this dataset (one = 36%; two = 36%; three = 17%; four = 8%; five = 2%; six = 1%), and the possibility that its effect on reproductive success might not be linear, a dummy variable indicating whether an observation belonged to the first breeding attempt (first attempt vs. after-first attempt) was also entered as predictor. Models included female and male age class as covariates, and pair ID as a random intercept.</p> <p><strong>References:</strong></p> <p>Botero-Delgadillo, E., Quirici, V., Poblete, Y., Cuevas, E., Kuhn, S., Girg, A., Teltscher, K., Poulin, E., Kempenaers, B., & Vásquez, R. A. (2017). Variation in fine-scale genetic structure and local dispersal patterns between peripheral populations of a South American passerine bird. Ecology and Evolution, 7(20), 8363–8378. https://doi.org/10.1002/ece3.3342</p> <p>Bates, D., Maechler, M., Bolker, B., & Walker, S. 2015. Fitting linear mixed-effects models using lme4. J. Stat. Soft. 67: 1–48.</p> <p>R Core Team. (2020). R: a language and environment for statistical computing, version 4.0.2. R Foundation for Statistical Computing, Vienna, Austria, http://www.R.project.org</p> <p><br> =====================================================================================<br> =====================================================================================</p>
Mapeo del ecosistema de emprendimiento e innovación social de Bogotá
<p>Esta base de datos contiene 338 elementos identificados del ecosistema de emprendimiento e innovación social de Bogotá.</p>
Data and code from: Shifting social-ecological fire regimes explain increasing structure loss from Western wildfires
<p class="MsoNormal"><span>Higuera, P.E., M.C. Cook, J.K. Balch, E.N. Stavros, A.L. Mahood, and L.A. St. Denis. 2023. Shifting social-ecological fire regimes explain increasing structure loss from Western wildfires. PNAS Nexus 2: In Press.</span></p> <p class="MsoNormal"><span>Structure loss is an acute, costly impact of the wildfire crisis in the western United States ("West"), motivating the need to understand recent trends and causes. We document a 246% rise in West-wide structure loss from wildfires between 1999–2009 and 2010–2020, driven strongly by events in 2017, 2018, and 2020. Increased structure loss was not due to increased area burned alone. Wildfires became significantly more destructive, with a 160% higher structure loss rate (loss/kha burned) over the past decade. Structure loss was driven primarily by wildfires from unplanned human-related ignitions (e.g. backyard burning, power lines, etc.), which accounted for 76% of all structure loss and resulted in 10 times more structures destroyed per unit area burned compared to lightning-ignited fires. Annual structure loss was well explained by area burned from human-related ignitions, while decadal structure loss was explained by state-level structure abundance in flammable vegetation. Both predictors increased over recent decades and likely interacted with increased fuel aridity to drive structure-loss trends. While states are diverse in patterns and trends, nearly all experienced more burning from human-related ignitions and/or higher structure loss rates, particularly California, Washington, and Oregon. Our findings highlight how fire regimes – characteristics of fire over space and time – are fundamentally social-ecological phenomena. By resolving the diversity of Western fire regimes, our work informs regionally appropriate mitigation and adaptation strategies. With millions of structures with high fire risk, reducing human-related ignitions and rethinking how we build are critical for preventing future wildfire disasters.</span></p>
MHG4SNA: Images and videos of social networks on arthurian romances
<p><strong>Description</strong></p> <p>This dataset contains images and videos of social networks (static and dynamic graphs) based on character annotations of middle high german arthurian romances.</p> <p>All images and videos are part of my dissertation.</p> <p>The networks can be created in gephi using the gefx files provided in the following repositories:</p> <ul> <li>zenodo: <a href="https://doi.org/10.5281/zenodo.7544004">10.5281/zenodo.7544004</a> </li> <li>and github: <a href="https://github.com/NoraKet/MHG4SNA/tree/v1.0.0">https://github.com/NoraKet/MHG4SNA/tree/v1.0.0</a></li> </ul> <p> </p> <p><strong>Texts</strong></p> <ul> <li>Wolfram von Eschenbach: 'Parzival', in: Wolfram von Eschenbach: Werke, ed. by Karl Lachmann, 5th edition, Berlin 1891, pp. 11–388.</li> <li>Hartmann von Aue: 'Erec', ed. by Albert Leitzmann continued by Ludwig Wolff, 7th edition by Kurt Gärtner, Tübingen 2006 (Altdeutsche Textbibliothek 39).</li> <li>Hartmann von Aue: 'Iwein', ed. by G. F. Benecke and K. Lachmann, revised by Ludwig Wolff, 7th edition, part 1: Text, Berlin 1968.</li> </ul> <p> </p> <p><strong>Files</strong></p> <p>The network graphs are created using gephi.</p> <p>The filenames indicate:</p> <ul> <li>the name of the text ("Erec", "Iwein", "Parzival"; "Parzival" consists of 16 books; it can be devided in the story of Parzival ("PARZ") and the story of Gawan ("GAW")); </li> <li>the filters "EK" and "EK2" which indicate if narrator's comments are included or excluded from the data;</li> <li>the filter "DS" which indicates if direct speech is included or excluded from the data;</li> <li>additional filters performed in gephi, for example removed characters ("noErec"), frequence filters ("filterfreq1": all characters that only occur one time are removed), selection of books ("Parzival_3-6": contains only books 3 to 6 from "Parzival"), "Egozentriert" indicates an egocentric network;</li> <li>for videos: the playback speed which can be set in gephi's settings.</li> </ul> <p> </p> <p>For information about the annotations please see <a href="https://doi.org/10.5281/zenodo.7544004">10.5281/zenodo.7544004</a>. </p> <p> </p> <p> </p>
All of the same type? The use of 'welfare tourism' to limit the access of EU migrants to social benefits in the UK and Germany 2021
<p><em>List of documents analyzed for book chapter: Gago, Angie (2021) All of the same type? The use of ‘welfare tourism’ to limit the access of EU migrants to social benefits in the UK and Germany </em>In<em> "Social Policy Review 33", edited by Pomati, Marco, Andy Jolly and James Rees, 203-222. Bristol: Bristol University Press, 2021</em></p>
Using Social Virtual Reality in Teaching Intercultural Communication
<p>This data represents the supplementary material for the journal article with the above title submitted to Technology, Knowledge and Learning.</p> <p> </p> <p>The supplementary material contains:</p> <ol> <li>the interview guideline for the group of the class that was taught in the online remote study using video conferencing tools only</li> <li>the interview guideline for the group of the class that was taught in the online remote study using video conferencing tools and additional social virtual reality sessions</li> <li>the quantitative survey questionnaire that was sent to both groups</li> </ol>
Triadic influence as a proxy for compatibility in social relationships
<p>This dataset contains valuable information that allows for the recreation of the paper "Triadic influence as a proxy for compatibility in social relationships" which was published in PNAS. The dataset comprises 13 high school networks that represent the diverse social relationships that exist between students within each school.</p> <p>To construct each of these networks, you can utilize the "Edges_i.csv" and "Nodes_i.csv" files, which are available for download in the files section. The edges files provide data on weighted edges, where the weight varies between -2, -1, +1, and +2. The sign indicates the nature of the friendship, while the number corresponds to its intensity. On the other hand, the node files contain information about the age level, group, sex, and psychological attributes such as CRT and prosociality.</p> <p> </p> <p> </p> <p> </p>
Social signal learning of referential communication in a social insect
<p>This is the dataset for a paper showing that honey bees can use social learning to improve their waggle dancing.</p>
Data from: A caste differentiation mutant elucidates the evolution of socially parasitic ants
<div> <div> <div> <div> <p>Most ant species have two distinct female castes – queens and workers – yet the developmental and genetic mechanisms that produce these alternative phenotypes remain poorly understood. Working with the clonal raider ant, <em>Ooceraea</em> <em>biroi</em>, we discovered a variant strain that expresses queen-like traits in individuals that would normally become workers. The variants show changes in morphology, behavior, and fitness that cause them to rely on workers in wild-type (WT) colonies for survival. Overall, they resemble the queens of many obligately parasitic ants that have evolutionarily lost the worker caste and live inside colonies of closely related hosts. <br><br>To understand the genetic basis of this variant strain, which we term the queen-like mutants (QLM), we re-analyzed published PacBio and Hi-C data (McKenzie and Kronauer 2018) using the Falcon pipeline. </p> </div> </div> </div> </div>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.