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Social-Ecological Dynamics of Recreational Fishery Landscapes: Recreational angler catch and satisfaction in the Midwest, 2018 to 2024
The goal of this dataset is to understand angler information gathering and sharing, technology use, expectation-setting, site choice, and the factors influencing angler satisfaction in rural and urban environments. These data were collected through on-site creel surveys and instantaneous counts of fishing effort and associated angler vehicles. Traditional creel surveys are completed only at the end of an angler's fishing trip. These dual-intercept creel survey data are novel because anglers were intercepted both before and after their fishing trip. This survey design allowed us to collect unbiased estimates of anglers' expected catch. These data can be used to understand the role of angler expectations in angler satisfaction and behavior. Data collection were conducted in two counties in Wisconsin, USA. Vilas County is a primarily rural, forested, and glaciated region with many relatively small lakes. Dane County has a larger urban center (Madison, WI) that is surrounded by agricultural areas. Most of the Dane County lakes surveyed were part of the Yahara chain of lakes: Lakes Mendota, Monona, Wingra, Waubesa, and Kegonsa. Dane county has fewer, larger lakes with greater connectivity to each other. Vilas County was sampled in the summer of 2018, the summer of 2019, and the summer and winter of 2022. Dane County was sampled in the winter and summer of 2022.
Social Network Survey of Forest Landowners in New Hampshire and Vermont 2010
Forests provide invaluable services, and nationally a significant portion of them are owned by millions of individual, private decision makers. Butler (2008) reports that the vast majority of owners (92%, representing 87% of all family forest lands) make management decisions for their land on their own, with a very small minority relying on the advice of professional foresters. Nationally, Butler (2008) goes on to report that 4 % of family forest owners (representing 17% of family forest land) have a professionally prepared management plan for their lands. It is clear that family forests are important, yet millions of owners are apparently not making decisions on the basis of professional advice. Our goal was to improve our understanding of who landowners seek information from when making decisions about their forestland. More specifically, our objective was to explore the possible role of egocentric social networks that landowners may rely upon for information when making a decision. Can we estimate their composition, the possible role of professionals, and the nature of the relationships, in terms of involvement, helpfulness, and trust? Finally, we explored landowner egocentric networks in two similar and adjacent states (Vermont and New Hampshire) that have different programmatic approaches to reaching landowners. Do these result in different ways that landowners acquire information? Using two different approaches through a mail survey methodology, we assessed the extent to which private woodland owners are connected to other people, the degree to which they are considered information sources, and the nature of their decision making behavior. Respondents consistently report valuable connections to non-professionals. They similarly report nominal contact to public foresters, whose role is to inspire prudent forest stewardship on privately held lands. This minimal contact is consistent in two different states with rather different programmatic goals (e.g., educatio
Phoenix Area Social Survey (PASS): 2017
The Phoenix Area Social Survey (PASS) was established in 2001 as part of the Central Arizona–Phoenix Long-Term Ecological Research (CAP LTER) project's long-term monitoring program. Every five years, the PASS team surveys households in select neighborhoods in metropolitan Phoenix in order to better understand people's perceptions, attitudes, and behaviors on environmental issues such heat stress and climate change, water scarcity and policy, landscape choices and management, and urban wildlife and biodiversity. In 2001, the first PASS was piloted in 8 neighborhoods (n= 302) in the City of Phoenix, Arizona. Aiming for about 20 respondents per neighborhood, the 2006 (n= 808) and 2011 (n= 806) samples were expanded to cover a broader range of neighborhoods (40-45) that better represent the geography of the greater metropolitan area, both in terms of location and demographics. In order to characterize and examine residents' views and practices in particular Phoenix-area neighborhoods, the 2017 survey was redesigned to target a larger number of people (~65) in fewer (12) neighborhoods across the region. The new sampling design allows for intensive neighborhood analyses that link residents' perceptions, attitudes, and decisions to the local ecology (e.g., urban infrastructure, landscape attributes, species composition). The 2017 PASS neighborhoods were distributed across CAP LTER ecological monitoring sites at green/blue infrastructure such as the Salt River, Tempe Town Lake, and Indian Bend Wash, in addition to desert preserves such as South Mountain Park and McDowell Sonoran Preserve. Ecological data also collected at these sites included climate and temperature data, nutrient fluxes, and wildlife community measurements. In each neighborhood, for example, the local bird community was measured at three point-count stations so that we can link biodiversity metrics to people's views and actions that affect them. Overall, the 2017 PASS survey explores major themes integral
Fine-scale meteorological observations from walking traverses in two Phoenix Area Social Survey (PASS) 2017 neighborhoods (2019)
This dataset includes human-biometeorological observations from 2.5 km walking traverses with a mobile weather station. The traverses occurred in two 2017 Phoenix Area Social Survey neighborhoods (U18: South Phoenix/Salt River (Audubon) and W15: Camelback Mountain) on one day in June and October, at 12pm and 4pm on each day. Specifically, air temperature, humidity, wind speed, and radiant energy (infrared and solar radiation) in 3-dimensions were measured at 2-second intervals. Additionally, mean radiant temperature was calculated from the radiation measurements. The meteorological observations are spatially referenced with latitude and longitude coordinates. The paths through the neighborhoods were chosen to maximize proximity to PASS 2017 participants’ homes.
Wildlife in urban neighborhoods of the greater Phoenix, Arizona metropolitan area: patterns that span a social-ecological gradient in 2021
Wildlife communities are structured by numerous ecological filters in cities that influence their populations, and some species even manage to thrive in urban landscapes. CAP researchers were the first to observe “the luxury effect”, the hypothesis that biodiversity is positively related to income of residents. The luxury effect is still being tested worldwide twenty years later and has led to important new research on other socio-demographic factors that shape biodiversity but are vastly understudied, such as race and ethnicity, as well as the interaction of these factors with urban structural inequalities that may be hidden by income. This research aims to unpack the luxury effect by considering other landscape and socio-demographic factors that may influence wildlife communities across neighborhoods of metro Phoenix. Specifically, we are investigating if neighborhood income and ethnicity independently influence mammal occupancy in neighborhoods across the CAP ecosystem. To answer this question, we leveraged a wildlife camera array across CAP within community parks, in which cameras are placed across a gradient of average median household income and percent Latinx of residents. Incorporating socioeconomic data into urban mammal research will allow for the advancement in the understanding of socio-ecological patterns.
Social Processes Initiative in Neurobiology of the Schizophrenia(s) Traveling Human Phantoms
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An fMRI dataset in response to "The Grand Budapest Hotel", a socially-rich, naturalistic movie
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MRI data of 40 adult participants in response to a cue induced craving task following food fasting, social isolation and baseline (within-subject design)
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Characterisation of Social Vulnerability to the environmental hazard of heat in Logroño, and the surrounding La Rioja region in Spain, derived from national census and EU Copernicus datasets.
<p>This dataset includes all input information for indicators that were used to derive social vulnerability and the overall processed data of the social vulnerability index score for Logroño, and the surrounding La Rioja region, Spain. The input variables used in this dataset come from the national census data for Spain and EU Copernicus data.</p> <div> <p>The social vulnerability indicators used in these datasets are based on research including a review of existing literature and the interpretation of factors affecting social vulnerability. Interpretation of some indicators are contestable and open to debate.</p> </div>
Characterisation of Social Vulnerability to the environmental hazard of flooding in Cork City and County, Ireland, derived from national census and EU Copernicus datasets.
<p>This dataset includes all input information for indicators that were used to derive social vulnerability and the overall processed data of the social vulnerability index score for the region of Cork, Ireland. The input variables used in this dataset come from the national census data for Ireland and EU Copernicus data.</p> <div> <p>The social vulnerability indicators used in these datasets are based on research including a review of existing literature and the interpretation of factors affecting social vulnerability. Interpretation of some indicators are contestable and open to debate.</p> </div>
Characterisation of Social Vulnerability to the environmental hazard of heat in Milan, derived from national census and EU Copernicus datasets
<p>This dataset includes all input information for indicators that were used to derive social vulnerability and the overall processed data of the social vulnerability index score for the region of Milan, Italy. The input variables used in this dataset come from the national census data for Italy and EU Copernicus data.</p> <p>The social vulnerability indicators used in these datasets are based on research including a review of existing literature and the interpretation of factors affecting social vulnerability. Interpretation of some indicators are contestable and open to debate.</p>
Actitudes sociales y políticas en Andalucía: entrevista telefónica a 1500 personas sobre populismo, inmigración, modelo territorial, instituciones españolas, pensamiento conspirativo, activismo, narcisismo colectivo y lengua.
<p><strong><em>Descripción en español</em> </strong>(See English description below)</p> <p><strong>Título base de datos:</strong> Actitudes sociales y políticas en Andalucía: entrevista telefónica a 1500 personas sobre populismo, inmigración, modelo territorial, instituciones españolas, pensamiento conspirativo, activismo, narcisismo colectivo y lengua.<br> </p> <p><strong>Proyecto:</strong> PRY025/19 “Democracia y actitudes populistas en Andalucía: un análisis comparado multidisciplinar”, radicado en la Universidad de Málaga y dirigido por Manuel Arias Maldonado.</p> <p><br> <strong>Autores de la base de datos</strong>: José Javier Olivas Osuna (UNED y LSE), Manuel Arias Maldonado (Universidad de Málaga), Encarnación Hidalgo Tenorio (Universidad de Granada), Manuel Moyano (Universidad de Córdoba), Elena Llorca (Universidad de Alicante), Astrid Barrio (Universidad de Valencia) y Enrique Clari (Universidad de Valencia y UNED). <strong>Autor de correspondencia</strong> (para aclarar dudas técnicas): José Javier Olivas Osuna, jjolivas@poli.uned.es , Facultad de Ciencias Políticas y Sociología, Universidad Nacional de Educación a Distancia, UNED, Obispo Trejo S/N, 28004, Madrid</p> <p><strong>Como citar base de datos:</strong> Olivas Osuna, J.J., Arias, M., Hidalgo-Tenorio, E.; Moyano, M., Llorca, E., Barrio, A. y Clari, E. (2022) Actitudes sociales y políticas en Andalucía: entrevista telefónica a 1500 personas sobre populismo, inmigración, modelo territorial, instituciones españolas, pensamiento conspirativo, activismo, narcisismo colectivo y lengua. Centro de Estudios Andaluces: Sevilla. </p> <p><br> Fecha de creación: 8 junio 2022<br> Cobertura geográfica: Andalucía, España<br> Datos recolectados: octubre 2021<br> Version: 1<br> Licencia: esta base de datos es publicada con acceso abierto (Open Access) bajo la licencia Creative Commons Attribution-NonCommercial-NoDerivatives (CC BY-NC-ND): https://creativecommons.org/licenses/by-nc-nd/4.0/ Es decir, los datos están a disposición de otros investigadores para ser explotados pero estos deberán realizar la pertinente atribución a los autores de esta base de datos y no deberá ser usada para fines comerciales sino de investigación académica.</p> <p><strong>Descripción del contenido y metodología: </strong>Esta nueva base de datos (ficheros “BBDD_POPULISMO_ANDALUCIA.xls” y “and.csv”) ha sido elaborada con los resultados de una encuesta telefónica (método CATI, Computer Assisted Telephone Interviewing) administrada por el Área de Estudios Estadísticos de COTESA, entre el 5 y 25 de octubre de 2021. Se entrevistaron a 1.500 personas en Andalucía con un muestreo probabilístico estratificado en virtud del sexo y la edad (7 grupos). En julio de 2021 COTESA realizó un pretest que no detectó problemas. La unidad informante fueron las personas mayores de edad y residentes en cada una de las 8 provincias de esta Comunidad Autónoma (ver fichero adjunto “Diseño Muestral UMA_Andalucia.xls”). Los datos fueron registrados por los entrevistadores de COTESA siguiendo un cuestionario (ver fichero “Cuestionario Actitudes Populistas en Andalucía final.docx”). Los valores perdidos (“missing values”) han sido recodificados como “99”. El fichero de la base de datos contiende además una pestaña con la descripción de las variables para facilitar el trabajo de los investigadores). </p> <p>Esta base de datos se creo en paralelo a otra base de datos equivalente en Cataluña: " Actitudes sociales y políticas en Cataluña: entrevista telefónica a 1500 personas sobre populismo, inmigración, modelo territorial, instituciones españolas, pensamiento conspirativo, activismo, narcisismo colectivo y lengua."</p> <p>Los datos son compatibles y se pueden realizar comparaciones entre ambas (los ficheros "esp" fusiona las dos bases de datos)</p> <p>Esta base de datos contiene más de 100 items/variables reflejan que reflejan las respuestas de los entrevistados a un cuestionario que incluye muchas preguntas originales diseñadas ad-hoc por los autores, a través de sucesivas reuniones e intercambios durante 2021, así como una serie de preguntas correspondientes a escalas desarrolladas por otros autores previamente. Entre estas caben destacar escalas de populismo (Akkerman et al. 2014; Olivas Osuna et al. en elaboración), narcisismo colectivo (Golec de Zavala et al. 2009), creencia en teorías conspirativas (Brotherton et al. 2013), justificación de la violencia política (Belanger et al. 2019) y proximidad a una red radicalizada (Moyano 2011).</p> <p><strong>Reconocimientos y fuentes de financiación:</strong> La encuesta fue financiada por el proyecto “Democracia y actitudes populistas en Andalucía: un análisis comparado multidisciplinar” (PRY025/19). Sin embargo la participación de algunos miembros del equipo en el diseño de la encuesta y depuración de la base de datos ha sido posible también gracias al “Proyecto Comparado Interdisciplinar de Populismo y Secesionismo” (2018-T1/COC-10152), financiado por el Programa de Atracción de Talento Investigador de la Comunidad de Madrid, y al proyecto “Populismo y Fronteras: un Estudio Comparado de Discursos y Actitudes en la Oferta y Demanda Populista” (PID2020-113182RA-I00), financiado por la Agencia Estatal de Investigación del Ministerio de Ciencia e Innovación de España.</p> <p>Cabe reconocer también el apoyo teórico y metodológico en el proceso de diseño del cuestionario a Andrés Santana y José Rama (ambos profesores en la Universidad Autónoma de Madrid). También se agradece el trabajo de Manuel Martín y Juan Ramón Barrada, que junto con Manuel Moyano y José Javier Olivas trabajaron desde noviembre de 2019 en el diseño y testeo de muchos de los ítems sobre populismo incluidos en el cuestionario (dentro del marco del proyecto 2018-T1/COC-10152).</p> <p><strong>Ficheros adjuntos: </strong><br> * Readme Actitudes sociales y políticas en Andalucía.txt<br> * BBDD_POPULISMO_ANDALUCIA.xls (base de datos con pestaña descripción variables)<br> * and.csv (base de datos en formato csv)<br> * Cuestionario Actitudes Populistas en Andalucia final.docx (cuestionario adminstrado)<br> * Diseño muestral UMA_Andalucía.xls (explicación de los criterios de muestreo)</p> <p> </p> <p> </p> <p><strong><em>English description:</em></strong></p> <p><strong>Database title: </strong>Social and political attitudes in Andalusia: telephone interviews with 1500 people on populism, immigration, territorial model, Spanish institutions, conspiratorial thinking, activism, collective narcissism and language.</p> <p><strong>Project: </strong>PRY025/19 "Democracy and populist attitudes in Andalusia: a multidisciplinary comparative analysis", based at the University of Malaga and directed by Manuel Arias Maldonado.</p> <p><strong>Database authors:</strong> José Javier Olivas Osuna (UNED and LSE), Manuel Arias Maldonado (University of Málaga), Encarnación Hidalgo Tenorio (University of Granada), Manuel Moyano (University of Córdoba), Elena Llorca (University of Alicante), Astrid Barrio (University of Valencia) and Enrique Clari (University of Valencia and UNED). Correspondence author (for technical questions): José Javier Olivas Osuna, jjolivas@poli.uned.es , Facultad de Ciencias Políticas y Sociología, Universidad Nacional de Educación a Distancia, UNED, Obispo Trejo S/N, 28004, Madrid.</p> <p><strong>How to cite database:</strong> Olivas Osuna, J.J., Arias, M., Hidalgo-Tenorio, E.; Moyano, M., Llorca, E., Barrio, A. and Clari, E. (2022) Social and political attitudes in Andalusia: telephone interview with 1500 people on populism, immigration, territorial model, Spanish institutions, conspiratorial thinking, activism, collective narcissism and language. Andalusian Studies Centre: Seville. </p> <p>Date of creation: 8 June 2022<br> Geographical coverage: Andalusia, Spain<br> Data collected: October 2021<br> Version: 1<br> Licence: this database is published with Open Access under the Creative Commons Attribution-NonCommercial-NoDerivatives (CC BY-NC-ND) licence: https://creativecommons.org/licenses/by-nc-nd/4.0/ That is, the data is available for other researchers to exploit but they must make the appropriate attribution to the authors of this database and it must not be used for commercial purposes but for academic research.</p> <p><strong>Description of content and methodology:</strong> This new database (files "BBDD_POPULISMO_ANDALUCIA.xls" and "and.csv") has been elaborated with the results of a telephone survey (CATI method, Computer Assisted Telephone Interviewing) administered by the Statistical Studies Area of COTESA, between 5 and 25 October 2021. A total of 1,500 people were interviewed in Andalusia with a probability sample stratified by sex and age (7 groups). A pre-test was conducted by COTESA in July 2021 and no problems were detected. The respondent unit was persons of legal age and resident in each of the 8 provinces of this Autonomous Community (see attached file "Diseño Muestral UMA_Andalucia.xls"). The data were recorded by COTESA interviewers following a questionnaire (see file "Cuestionario Actitudes Populistas en Andalucía final.docx"). Missing values have been re-coded as "99". The database file also contains a tab with the description of the variables to facilitate the work of the researchers). </p> <p>This database was created in parallel to another equivalent database in Catalonia: "Social and political attitudes in Catalonia: telephone interview with 1500 people on populism, immigration, territorial model, Spanish institutions, conspiratorial thinking, activism, collective narcissism and language".</p> <p>The data of the Andalusian and Spanish databases are compatible and comparable (the "esp" files merge the two databases).</p> <p>This database contains more than 100 items/variables reflecting respondents' answers to a questionnaire that includes many original questions designed ad-hoc by the authors, through successive meetings and exchanges during 2021, as well as a number of questions corresponding to scales previously developed by other authors. These include scales on populism (Akkerman et al. 2014; Olivas Osuna et al. in elaboration), collective narcissism (Golec de Zavala et al. 2009), belief in conspiracy theories (Brotherton et al. 2013), justification of political violence (Belanger et al. 2019) and proximity to a radicalised network (Moyano 2011).</p> <p><strong>Acknowledgements and funding sources:</strong> The survey was funded by the project "Democracy and populist attitudes in Andalusia: a multidisciplinary comparative analysis" (PRY025/19). However, the participation of some members of the team in the design of the survey and the cleaning of the database has also been possible thanks to the "Comparative Interdisciplinary Project on Populism and Secessionism" (2018-T1/COC-10152), funded by the Research Talent Attraction Programme of the Community of Madrid, and to the project "Populism and Borders: A Comparative Study of Discourses and Attitudes in Populist Supply and Demand" (PID2020-113182RA-I00), funded by the State Research Agency of the Spanish Ministry of Science and Innovation.</p> <p>The theoretical and methodological support in the questionnaire design process is also acknowledged to Andrés Santana and José Rama (both professors at the Universidad Autónoma de Madrid). Thanks are also due to Manuel Martín and Juan Ramón Barrada, who together with Manuel Moyano and José Javier Olivas worked since November 2019 on the design and testing of many of the items on populism included in the questionnaire (within the framework of project 2018-T1/COC-10152).</p> <p><strong>Attached files:</strong></p> <p>* Readme Actitudes sociales y políticas en Andalucía.txt<br> * BBDD_POPULISMO_ANDALUCIA.xls (database with a tab with the description of variables)<br> * and.csv (database in csv format)<br> * Cuestionario Actitudes Populistas en Andalucia final.docx (questionnaire)<br> * Diseño muestral UMA_Andalucía.xls (explanation of the sampling method)</p>
Actitudes sociales y políticas en Cataluña: entrevista telefónica a 1500 personas sobre populismo, inmigración, modelo territorial, instituciones españolas, pensamiento conspirativo, activismo, narcisismo colectivo y lengua.
<p><strong><em>Descripción en español</em> </strong>(See English description below)</p> <p><strong>Título base de datos:</strong> Actitudes sociales y políticas en Cataluña: entrevista telefónica a 1500 personas sobre populismo, inmigración, modelo territorial, instituciones españolas, pensamiento conspirativo, activismo, narcisismo colectivo y lengua.</p> <p><strong>Proyecto:</strong> PRY025/19 “Democracia y actitudes populistas en Andalucía: un análisis comparado multidisciplinar”, radicado en la Universidad de Málaga y dirigido por Manuel Arias Maldonado.</p> <p><br> <strong>Autores de la base de datos</strong>: José Javier Olivas Osuna (UNED y LSE), Manuel Arias Maldonado (Universidad de Málaga), Encarnación Hidalgo Tenorio (Universidad de Granada), Manuel Moyano (Universidad de Córdoba), Elena Llorca (Universidad de Alicante), Astrid Barrio (Universidad de Valencia) y Enrique Clari (Universidad de Valencia y UNED).<br> <strong>Autor de correspondencia</strong> (para aclarar dudas técnicas): José Javier Olivas Osuna, jjolivas@poli.uned.es , Facultad de Ciencias Políticas y Sociología, Universidad Nacional de Educación a Distancia, UNED, Obispo Trejo S/N, 28004, Madrid.</p> <p><strong>Como citar base de datos:</strong> Olivas Osuna, J.J., Arias, M., Hidalgo-Tenorio, E.; Moyano, M., Llorca, E., Barrio, A. y Clari, E. (2022) Actitudes sociales y políticas en Cataluña: entrevista telefónica a 1500 personas sobre populismo, inmigración, modelo territorial, instituciones españolas, pensamiento conspirativo, activismo, narcisismo colectivo y lengua. Centro de Estudios Andaluces: Sevilla. </p> <p><br> Fecha de creación: 8 junio 2022<br> Cobertura geográfica: Cataluña, España<br> Datos recolectados: octubre 2021<br> Version: 1<br> Licencia: esta base de datos es publicada con acceso abierto (Open Access) bajo la licencia Creative Commons Attribution-NonCommercial-NoDerivatives (CC BY-NC-ND): https://creativecommons.org/licenses/by-nc-nd/4.0/ Es decir, los datos están a disposición de otros investigadores para ser explotados pero estos deberán realizar la pertinente atribución a los autores de esta base de datos y no deberá ser usada para fines comerciales sino de investigación académica.</p> <p><strong>Descripción del contenido y metodología:</strong> Esta nueva base de datos (ficheros “BBDD_POPULISMO_CATALUÑA.xls” y “cat.csv”) ha sido elaborada con los resultados de una encuesta telefónica (método CATI, Computer Assisted Telephone Interviewing) administrada por el Área de Estudios Estadísticos de COTESA, entre el 5 y 25 de octubre de 2021. Se entrevistaron a 1.500 personas en Cataluña con un muestreo probabilístico estratificado en virtud del sexo y la edad (7 grupos). La unidad informante fueron las personas mayores de edad y residentes en cada una de las 4 provincias de esta Comunidad Autónoma (ver fichero adjunto “Diseño Muestral UMA_Cataluña.xls”). En julio de 2021 COTESA realizó un pretest que no detectó problemas. Los datos fueron registrados por los entrevistadores de COTESA siguiendo un cuestionario (ver ficheros “Cuestionario Actitudes Populistas en Cataluña final cat.docx” y “Cuestionario Actitudes Populistas en Cataluña final esp.docx). Los entrevistadores daban la opción de elegir el idioma en el que se desarrollaba la entrevista. Los valores perdidos (“missing values”) han sido recodificados como “99”. El fichero de la base de datos contiende además una pestaña con la descripción de las variables para facilitar el trabajo de los investigadores). </p> <p>Esta base de datos se creo en paralelo a otra base de datos equivalente en Andalucía: "Actitudes sociales y políticas en Andalucía: entrevista telefónica a 1500 personas sobre populismo, inmigración, modelo territorial, instituciones españolas, pensamiento conspirativo, activismo, narcisismo colectivo y lengua".</p> <p>Los datos son compatibles y se pueden realizar comparaciones (los ficheros "esp" fusionan las dos bases de datos).</p> <p>Esta base de datos contiene más de 100 items/variables reflejan que reflejan las respuestas de los entrevistados a un cuestionario que incluye muchas preguntas originales diseñadas ad-hoc por los autores, a través de sucesivas reuniones e intercambios durante 2021, así como una serie de preguntas correspondientes a escalas desarrolladas por otros autores previamente. Entre estas caben destacar escalas de populismo (Akkerman et al. 2014; Olivas Osuna et al. en elaboración), narcisismo colectivo (Golec de Zavala et al. 2009), creencia en teorías conspirativas (Brotherton et al. 2013), justificación de la violencia política (Belanger et al. 2019) y proximidad a una red radicalizada (Moyano 2011).</p> <p><strong>Reconocimientos y fuentes de financiación:</strong> La encuesta fue financiada por el proyecto “Democracia y actitudes populistas en Andalucía: un análisis comparado multidisciplinar” (PRY025/19). Sin embargo la participación de algunos miembros del equipo en el diseño de la encuesta y depuración de la base de datos ha sido posible también gracias al “Proyecto Comparado Interdisciplinar de Populismo y Secesionismo” (2018-T1/COC-10152), financiado por el Programa de Atracción de Talento Investigador de la Comunidad de Madrid, y al proyecto “Populismo y Fronteras: un Estudio Comparado de Discursos y Actitudes en la Oferta y Demanda Populista” (PID2020-113182RA-I00), financiado por la Agencia Estatal de Investigación del Ministerio de Ciencia e Innovación de España.</p> <p>Cabe reconocer también el apoyo teórico y metodológico en el proceso de diseño del cuestionario a Andrés Santana y José Rama (ambos profesores en la Universidad Autónoma de Madrid). También se agradece el trabajo de Manuel Martín y Juan Ramón Barrada, que junto con Manuel Moyano y José Javier Olivas trabajaron desde noviembre de 2019 en el diseño y testeo de muchos de los ítems sobre populismo incluidos en el cuestionario (dentro del marco del proyecto 2018-T1/COC-10152).</p> <p><strong>Ficheros adjuntos: </strong><br> * Readme Actitudes sociales y políticas en Cataluña.txt<br> * BBDD_POPULISMO_CATALUÑA.xls (base de datos con pestaña descripción variables)<br> * cat.csv (base de datos en formato csv)<br> * Cuestionario Actitudes Populistas en Cataluña final esp.docx (cuestionario en catalán)<br> * Cuestionario Actitudes Populistas en Cataluña final cat.docx (cuestionario en español)<br> * Diseño muestral UMA_Cataluña.xls (explicación de los criterios de muestreo)</p> <p>*esp.xls and esp.csv (bases de datos fusionadas: Andalucía y Cataluña)</p> <p> </p> <p><em><strong>English description:</strong></em></p> <p><strong>Database title:</strong> Social and political attitudes in Catalonia: telephone interviews with 1500 people on populism, immigration, territorial model, Spanish institutions, conspiratorial thinking, activism, collective narcissism and language.</p> <p><br> Project: PRY025/19 "Democracy and populist attitudes in Andalusia: a multidisciplinary comparative analysis", based at the University of Malaga and directed by Manuel Arias Maldonado.</p> <p><br> <strong>Database authors:</strong> José Javier Olivas Osuna (UNED and LSE), Manuel Arias Maldonado (University of Málaga), Encarnación Hidalgo Tenorio (University of Granada), Manuel Moyano (University of Córdoba), Elena Llorca (University of Alicante), Astrid Barrio (University of Valencia) and Enrique Clari (University of Valencia and UNED). <strong>Corresponding author</strong>: José Javier Olivas Osuna, jjolivas@poli.uned.es , Facultad de Ciencias Políticas y Sociología, Universidad Nacional de Educación a Distancia, UNED, Obispo Trejo S/N, 28004, Madrid.</p> <p><strong>How to cite database: </strong>Olivas Osuna, J.J., Arias, M., Hidalgo-Tenorio, E.; Moyano, M., Llorca, E., Barrio, A. and Clari, E. (2022) Social and political attitudes in Catalonia: telephone interview with 1500 people on populism, immigration, territorial model, Spanish institutions, conspiratorial thinking, activism, collective narcissism and language. Andalusian Studies Centre: Seville. </p> <p>Date of creation: 8 June 2022<br> Geographical coverage: Catalonia, Spain<br> Data collected: October 2021<br> Version: 1<br> License: this database is published with Open Access under the Creative Commons Attribution-NonCommercial-NoDerivatives (CC BY-NC-ND) license: https://creativecommons.org/licenses/by-nc-nd/4.0/ That is, the data is available for other researchers to exploit but they must make the appropriate attribution to the authors of this database and it should not be used for commercial purposes but for academic research.</p> <p><strong>Description of content and methodology: </strong>This new database (files "BBDD_POPULISMO_CATALUÑA.xls" and "cat.csv") has been elaborated with the results of a telephone survey (CATI method, Computer Assisted Telephone Interviewing) administered by the Statistical Studies Area of COTESA, between 5 and 25 October 2021. A total of 1,500 people were interviewed in Catalonia with a probability sample stratified by sex and age (7 groups). The respondent unit was persons of legal age and resident in each of the 4 provinces of this Autonomous Community (see attached file "Sample Design UMA_Catalonia.xls"). In July 2021 COTESA carried out a pre-test that did not detect any problems. Data were recorded by COTESA interviewers following a questionnaire (see files "Cuestionario Actitudes Populistas en Cataluña final cat.docx" and "Cuestionario Actitudes Populistas en Cataluña final esp.docx). Interviewers were given the option of choosing the language in which the interview was conducted. Missing values have been re-coded as "99". The database file also contains a tab with the description of the variables to facilitate the work of the researchers). </p> <p>This database was created in parallel to another equivalent database in Andalusia: "Social and political attitudes in Andalusia: telephone interviews with 1500 people on populism, immigration, territorial model, Spanish institutions, conspiratorial thinking, activism, collective narcissism and language".</p> <p>The data of the Andalusian and Spanish databases are compatible and comparable (the "esp" files merge the two databases).</p> <p>This database contains more than 100 items/variables reflecting respondents' answers to a questionnaire that includes many original questions designed ad-hoc by the authors, through successive meetings and exchanges during 2021, as well as a number of questions corresponding to scales previously developed by other authors. These include scales on populism (Akkerman et al. 2014; Olivas Osuna et al. forthcoming), collective narcissism (Golec de Zavala et al. 2009), belief in conspiracy theories (Brotherton et al. 2013), justification of political violence (Belanger et al. 2019) and proximity to a radicalised network (Moyano 2011).</p> <p><strong>Acknowledgements and funding sources:</strong> The survey was funded by the project "Democracy and populist attitudes in Andalusia: a multidisciplinary comparative analysis" (PRY025/19). However, the participation of some members of the team in the design of the survey and the cleaning of the database has also been possible thanks to the "Comparative Interdisciplinary Project on Populism and Secessionism" (2018-T1/COC-10152), funded by the Research Talent Attraction Programme of the Community of Madrid, and to the project "Populism and Borders: A Comparative Study of Discourses and Attitudes in Populist Supply and Demand" (PID2020-113182RA-I00), funded by the State Research Agency of the Spanish Ministry of Science and Innovation.</p> <p>The theoretical and methodological support in the questionnaire design process is also acknowledged to Andrés Santana and José Rama (both professors at the Universidad Autónoma de Madrid). Thanks are also due to Manuel Martín and Juan Ramón Barrada, who together with Manuel Moyano and José Javier Olivas worked since November 2019 on the design and testing of many of the items on populism included in the questionnaire (within the framework of project 2018-T1/COC-10152).</p> <p><strong>Attached files: </strong><br> * Readme Actitudes sociales y políticas en Cataluña.txt<br> * BBDD_POPULISMO_CATALUÑA.xls (base de datos con pestaña descripción variables)<br> * cat.csv (base de datos en formato csv)<br> * Cuestionario Actitudes Populistas en Cataluña final esp.docx (cuestionario en catalán)<br> * Cuestionario Actitudes Populistas en Cataluña final cat.docx (cuestionario en español)<br> * Diseño muestral UMA_Cataluña.xls (explicación de los criterios de muestreo)</p> <p>*esp.xls and esp.csv (merged databases: Andalusia + Catalonia)</p>
Liquid Chromatography - Tandem Mass Spectrometry (LC-MS/MS) and Gas Chromatography - Mass Spectrometry (GC-MS) Reference Libraries from Global Natural Products Social Molecular Networking (GNPS) and National Institute of Standards and Technology (NIST) WebBook Processed for Spectral Library Matching
<div>In order to obtain a high-quality LC-MS/MS reference database for spectral library matching, we selected 22 high-quality GNPS tandem mass spectrometry databases generated under the positive ion mode. Further preprocessing similar to Huber et al involving mass-to-charge (m/z) and intensity filtering yields the database found in the file LCMS_GNPS_reference_library.csv which contains 14,705 electrospray ionization (ESI) mass spectra, each of which corresponds to a unique compound. The NIST WebBook database was used to construct GC-MS database contained in the file GCMS_NIST_WebBook.csv. This database contains 23,721 electron ionization (EI) mass spectra, each of which corresponds to a unique non-hyphenated Chemical Abstract Service (CAS) Registry Number.</div> <div> </div> <div>Both LC-MS/MS and GC-MS databases are organized into three columns: one for the identifier, one for the m/z values, and one for the intensity values. For example, if spectrum A has 20 ion fragments, then there will be 20 rows corresponding to spectrum A in the corresponding database with the identifier A repeated 20 times with the corresponding m/z and intensity values.</div>
GESIS - Leibniz Institute for the Social Sciences data access categories
<p>Replication code for extracting and analysing data access categories from the oai-pmh feed provided by the GESIS - Leibniz Institute for the Social Sciences DBK data catalogue. The code utilises the dc_oai-de feed to extract metadata about objects in the data catalogue, this is then edited to retain and summarise information on the four data access categories used by the archive. The oai-pmh metadata is available from GESIS under a CC0 licence.</p> <p>The .csv files extracted from the oai-pmh feed and edited to correct for missing records is also included for replication.</p>
Selecting for infectivity across metapopulations can increase virulence in the social microbe Bacillus thuringiensis:data set.
<p>Passage experiments that sequentially infect hosts with parasites have long been used to manipulate virulence. However, for many invertebrate pathogens passage has been applied naively without a full theoretical understanding of how best to select for increased virulence and this has led to very mixed results. Understanding the evolution of virulence is complex because selection on parasites occurs across multiple spatial scales with potentially different conflicts operating on parasites with different life-histories. For example, in social microbes, strong selection on replication rate within hosts can lead to cheating and loss of virulence, because investment in public goods virulence reduces replication rate. </p> <p>In this study<em> </em>we tested how varying mutation supply and selection for infectivity or pathogen yield (population size in hosts) affected evolution of virulence against resistant hosts in the specialist insect pathogen <em>Bacillus thuringiensis</em>, aiming to optimize methods for strain improvement against a difficult to kill insect target. We show that selection for infectivity using competition between sub-populations in a metapopulation prevents social cheating, acts to retain key virulence plasmids and facilitates increased virulence. Increased virulence was associated with reduced efficiency of sporulation, and possible loss of function in putative regulatory genes but not with altered expression of the primary virulence factors. Selection in a metapopulation provides a broadly applicable tool for improving the efficacy of biocontrol agents. Moreover, a structured host population can facilitate artificial selection on infectivity, while selection on life history traits such as faster replication or larger population sizes can reduce virulence in social microbes.</p>
Data on a citation context analysis focusing on natural sciences and social sciences and humanities
<p>This dataset contains data on citation context analysis between natural sciences (NS) and social sciences and humanities (SSH). In particular, the data were created through manual coding of each citation between papers related to SDG7 (renewable energy) and SDG13 (climate change) and papers cited by them. This dataset consists of 9 files, associated with the article: Nishikawa, K. How and why are citations between disciplines made? A citation context analysis focusing on natural sciences and social sciences and humanities. Scientometrics (2023). <a href="https://doi.org/10.1007/s11192-023-04664-y">https://doi.org/10.1007/s11192-023-04664-y</a></p> <p> </p> <p>The files are numbered as follows:</p> <ul> <li>00 – README</li> <li>01 – Data by citation pair for SDG7 (original)</li> <li>02 – Data by citation pair for SDG13 (original)</li> <li>03 – Data by mention location for SDG7 (original)</li> <li>04 – Data by mention location for SDG13 (original)</li> <li>05 – Data by citation pair for SDG7 (additional)</li> <li>06 – Data by citation pair for SDG13 (additional)</li> <li>07 – Data by mention location for SDG7 (additional)</li> <li>08 – Data by mention location for SDG13 (additional)</li> </ul> <p>See README for more information.</p>
Social Decision-Making Risky Choice Task Dataset
Open the record for dataset details and reuse information.
Catalogue of Diversity of Social Innovation
<p>The ‘Catalogue of Social Innovation Diversity in Rural Areas’ is the consolidated version of the research database of examples of social innovation in marginalised rural areas developed by the project SIMRA. The file contains a spreadsheet document that includes descriptive information of all the examples reviewed and recorded at some stage in the research database.</p> <p>The catalogue includes basic information for identifying and describing the examples and the characteristics of the social innovation. The total number of examples in the catalogue is 401. Of this number, 243 examples were positively validated using the SIMRA definition of social innovation. The information included in the catalogue for these examples is sufficient to meet the criteria of social innovation as defined by SIMRA. The remaining examples either demonstrate elements of social innovation without meeting all criteria, or include insufficient information to allow a positive validation. Examples can be filtered according to spatial scale, country, sector, topic, form and SIMRA validation.</p>
Multiscale Social Vulnerability in U.S.
<p>Social vulnerability indices created using the SoVI (2016) recipe for the U.S. using multiple data resolutions and index construction extents for 2018-2021. Indices were created in R using an automated construction script that can be found at <a href="https://github.com/katesnelson/MultiscalarSVI">https://github.com/katesnelson/MultiscalarSVI</a>. </p> <p>The data and accompanying manuscript are published at </p> <p>Nelson, K. S. (2025). Where scale matters for social vulnerability indices: a multiyear analysis of the US. <em>International Journal of Disaster Risk Reduction</em>, 105513. <a href="https://doi.org/10.1016/j.ijdrr.2025.105513">https://doi.org/10.1016/j.ijdrr.2025.105513</a></p>
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
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
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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.