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    <item>
      <title>Photo Rankings by Age and Gender. Data for: The Role of Ecological Factors, Gender, and Age in Shaping Visual Preferences for Urban Wetlands</title>
      <description>The study investigates the preferences for urban wetlands within the Stockholm region, three natural and three constructed. The ranking of the photo image was determined by calculating the mean of the five item scores for each photo from every respondent. Each of the 243 responses was converted into rankings where 1 denoted the lowest score, while a ranking of 9 denoted the highest score. To obtain the group rank orders for each age and gender group, the median rank orders were calculated using the median ranking according to Kemeny’s axiomatic approach in the R package “ConsRank” (D’Ambrosio et al. 2017). Kemeny’s method finds a ranking that best represents the collective preferences of all individuals when each alternative in the ranking is assigned a unique position without any shared rankings. The median group rankings where analysed.

Data for the article The Role of Ecological Factors, Gender, and Age in Shaping Visual Preferences for Urban Wetlands. Journal of Environmental Studies and Sciences. https://doi.org/10.1007/s13412-025-01026-3</description>
      <pubDate>Wed, 18 Jun 2025 13:26:48 GMT</pubDate>
      <link>https://researchdata.se/en/catalogue/dataset/2025-174</link>
      <guid>https://researchdata.se/en/catalogue/dataset/2025-174</guid>
      <dc:publisher>Södertörn University</dc:publisher>
      <dc:creator>Kseniia Zakharova</dc:creator>
    </item>
    <item>
      <title>Baltic Barometer 2021. 30 Years after the fall of the Soviet Union (Public opinion data: representative samples of the adult population in Estonia, Latvia and Lithuania)</title>
      <description>Representative samples of populations in Estonia, Latvia and Lithuania.
This is our follow-up survey (from 2014) in the three Baltic countries but without additional sampling of their respective Russian speaking minorities.  Special focus is on the handling of the covid pandemic in the Baltic countries, but the survey also covers attitudes towards the EU, migration, democracy, and Russia against the backdrop of its aggression in Ukraine.</description>
      <pubDate>Fri, 17 Nov 2023 13:29:05 GMT</pubDate>
      <link>https://researchdata.se/en/catalogue/dataset/2023-226</link>
      <guid>https://researchdata.se/en/catalogue/dataset/2023-226</guid>
      <dc:publisher>Södertörn University</dc:publisher>
      <dc:creator>Joakim Ekman</dc:creator>
      <dc:creator>Kjetil Duvold</dc:creator>
      <dc:creator>Sten Berglund</dc:creator>
    </item>
    <item>
      <title>Multi-country Social-Political Survey 2016 (Public opinion data: representative samples of the adult population in Hungary, Poland, Czech Republic, Slovakia, Slovenia, Bulgaria, Romania and Croatia)</title>
      <description>Public opinion data. Surveys were carried out in representative samples of inhabitants between 15 and 74 in the following countries: Bulgaria, Croatia, Czech Republic, Hungary, Poland, Romania, Slovakia, Slovenia. Questions include trust in political institutions, support for democracy, attitudes to immigrants and refugees, attitudes to socioeconomic conditions.</description>
      <pubDate>Fri, 17 Nov 2023 13:17:03 GMT</pubDate>
      <link>https://researchdata.se/en/catalogue/dataset/2023-225</link>
      <guid>https://researchdata.se/en/catalogue/dataset/2023-225</guid>
      <dc:publisher>Södertörn University</dc:publisher>
      <dc:creator>Joakim Ekman</dc:creator>
      <dc:creator>Kjetil Duvold</dc:creator>
      <dc:creator>Sten Berglund</dc:creator>
    </item>
    <item>
      <title>Post-Crimea Barometer (Public opinion data: representative samples of the adult population in Hungary, Bulgaria and Latvia, including the Russian-speaking minority)</title>
      <description>Opinion data from Hungary, Bulgaria and Latvia (including the Russian-speaking minority).

This survey focuses on relations with and attitudes towards Russia in three East European countries with a record of close ties with Russia – Latvia, Hungary, and Bulgaria. The survey was carried out against the backdrop of Russia´s annexation of Crimea and Eastern Ukraine. It may be the very first survey to tap East European reactions to Russia’s drastic attempt to redraw the map of post-war Eastern Europe. The 2015 Post-Crimea Survey asks many of the key questions in the Baltic Barometer questions about identity, democracy, and the European Union (Baltic Barometer 2014).</description>
      <pubDate>Fri, 17 Nov 2023 12:47:21 GMT</pubDate>
      <link>https://researchdata.se/en/catalogue/dataset/2023-224</link>
      <guid>https://researchdata.se/en/catalogue/dataset/2023-224</guid>
      <dc:publisher>Södertörn University</dc:publisher>
      <dc:creator>Joakim Ekman</dc:creator>
      <dc:creator>Kjetil Duvold</dc:creator>
      <dc:creator>Sten Berglund</dc:creator>
    </item>
    <item>
      <title>Baltic Barometer 2014 (Public opinion data: representative samples of the adult population in Estonia, Latvia and Lithuania, including the Russian-speaking and Polish minorities)</title>
      <description>Baltic Barometer 2014. Public opinion data: representative samples of the adult population in Estonia, Latvia and Lithuania, including the Russian-speaking and Polish minorities.

The dataset provides important information about the mood in the three Baltic countries almost 25 years after the restoration of their independence and 10 years after their accession as full members of the European Union. It covers attitudes towards the past, current events and to some extent hopes for the future.</description>
      <pubDate>Fri, 17 Nov 2023 12:07:36 GMT</pubDate>
      <link>https://researchdata.se/en/catalogue/dataset/2023-221</link>
      <guid>https://researchdata.se/en/catalogue/dataset/2023-221</guid>
      <dc:publisher>Södertörn University</dc:publisher>
      <dc:creator>Joakim Ekman</dc:creator>
      <dc:creator>Kjetil Duvold</dc:creator>
      <dc:creator>Sten Berglund</dc:creator>
    </item>
    <item>
      <title>MapRom - Mapping the Romani population in rural and semi-urban Wallachia in 1838</title>
      <description>The main archival source of MapRom database is the “Census of the population or Statistics of the Principalities (Wallachia and Moldova) of 1838”, ANIC, Fond Catagrafii, part I, Inventory number 501, volumes numbered I/8 to I/107 from the Historical National Archives, Bucharest, mostly unpublished and now digitized and automatized for the first time, in regard to Romani population.
This Census was conducted by the Interior Ministry in February 1838. It is the first preserved Romanian modern census of population and dwellings, which introduced new techniques of reviewing, such as the nominal lists and the great number (24) of demographic variables, including ethnicity. The unit of observation was the “household”, and the scope was to obtain detailed information about: 1) the settled population by age group, and sex; 2) the number of households and their structure; 3) the number of residential buildings and their distribution according to the material from which they are built; 4) population distribution according to their participation in economic activity; 5) distribution of population by skills and occupations. 
Based on this information, the MapRom database presents: statistics of the Roma households per village, number of Roms per village, number of different Romani ethnic sub-groups (Lăieș, Vătraș, Rudar, Zlătar, etc), average Romani household size per village, age distribution, sex distribution, number of Roms per skill, geographic distribution of the Roms (in uplands and lowlands), cultivated land area by Roms per village, etc. We found insignificant number of free Roms, rest of them were slaves. For more than 50% of them, we have reconstructed, from other (unpublished) sources the name of the owners (private noblemen, or Monasteries and churches). 
We searched for other statistical documents to complete our data from 1838 Census, such as the Statistics of the Turkish Gypsies (1833, manuscript ANIC, Vornicia temnitelor, file 354/1833), Statistics of Boyar Gypsy slaves (1832, manuscript ANIC, Diplomatice, dos. 147/1832) and Statistics of Monastery Gypsy slaves (1844, manuscript ANIC, Logofeția Pricinilor Bisericești, dos. 25/1844). etc. When we compared these statistics, we found major discrepancies leading to the important source critical conclusion that the 1838 census concerns mostly the permanently settled Gypsies and included few of the nomadic people. Further examination showed that the number of nomadic Gypsies was relatively small. We also found documents that indicated that Gypsies of the Muslim faith were not either registered in the 1838 census.
Over time the nominal lists of the 1838 Census for four counties (Ialomiţa, Gorj, Mededinţi and Vâlcea) as well as some two rural sub-districts and two towns has been lost, but that for 14 Wallachian counties has been preserved and entered in MapRom. 
The five volumes of nominal material for the capital city Bucharest (with a very large and multi-ethnic population) was not researched in this project as the census there was complexly different from that of the rural provinces in form and execution, but it is hoped that it can be researched at a later date.
We estimate that MapRom gathers information on between two-thirds and three-fourths of Wallachia’s Romani population.</description>
      <pubDate>Wed, 25 Oct 2023 08:19:07 GMT</pubDate>
      <link>https://researchdata.se/en/catalogue/dataset/2021-34-1</link>
      <guid>https://researchdata.se/en/catalogue/dataset/2021-34-1</guid>
      <dc:publisher>Södertörn University</dc:publisher>
      <dc:creator>Julieta Rotaru</dc:creator>
      <dc:creator>David Gaunt</dc:creator>
    </item>
    <item>
      <title>Migration in Sweden and Finland 1613–1618 (from Älvsborg's ransom taxation records)</title>
      <description>Data on migration (local as well as interregional and international) in Sweden and Finland during the period 1613–1618. The data concern the household/individual level, urban and rural. For each household/individual the data contain title/occupation, name, home address, and migration destination; given as parish/town, hundred, and county/country (if the data is present in the source). The data is collected from the taxation records from the second Älvsborg's ransom taxation (in the National Archives of Sweden and Finland).</description>
      <pubDate>Mon, 28 Aug 2023 12:01:29 GMT</pubDate>
      <link>https://researchdata.se/en/catalogue/dataset/2023-167</link>
      <guid>https://researchdata.se/en/catalogue/dataset/2023-167</guid>
      <dc:publisher>Södertörn University</dc:publisher>
      <dc:creator>Martin Andersson</dc:creator>
    </item>
    <item>
      <title>Inventory of Mothering and Fathering Activism for More Sustainable Living Environments</title>
      <description>This datafile contains information about movements at a global scale, that were identified as being composed mainly by mothers, fathers and others who have close connections with youth and children, on behalf of whom they seek and demand change.

The data summarized in this file is about groups, movements and organizations made up in large extent of mothers who in that role engage in activism and related activities in the public sphere.</description>
      <pubDate>Wed, 16 Aug 2023 08:11:39 GMT</pubDate>
      <link>https://researchdata.se/en/catalogue/dataset/2023-88-1</link>
      <guid>https://researchdata.se/en/catalogue/dataset/2023-88-1</guid>
      <dc:publisher>Södertörn University</dc:publisher>
      <dc:creator>Romina Rodela</dc:creator>
    </item>
    <item>
      <title>Factors responsible for Ixodes ricinus presence and abundance across a natural-urban gradient</title>
      <description>To better understand the spatial distribution of the common tick Ixodes ricinus, we investigated how local site factors and landscape characteristics influence tick presence and abundance in different greenspaces along the natural-urban gradient in Stockholm County, Sweden. Ticks and field data were collected in 2017 and 2019 and analyzed in relation to habitat type distributions estimated from land cover maps using geographical information system (GIS).

In 2017, ticks and field data were collected from 12 different sites in Stockholm County originally chosen as random controls for another study but was never used. In 2019, we collected ticks and field data at 35 randomly selected sites along the natural-urban gradient. To calculate and urbanization index, we used the proportion of artificial surfaces surrounding each site. All sampling sites were visited once with a total of 295 sampling plots inventoried for ticks and field data. For each sampling plot, we recorded date, time, temperature, weather conditions, number of ticks, vegetation height and tree stem density surrounding the inventory plot.
To retrieve large landscape characteristics, we established 10 buffer zones ranging from 100m to 1000m around each sampling site in GIS using satellite land cover maps (retrieved from: https://www.naturvardsverket.se/verktyg-och-tjanster/kartor-och-karttjanster/nationella-marktackedata/ladda-ner-nationella-marktackedata/). These maps have a spatial resolution of 10m and include the following main categories 1) Forest and seminatural areas, 2) Open areas, 3) Arable land, 4) Wetlands, 5) Artificial surfaces and 6) Inland and marine water. These main categories are further divided into subcategories with detailed information regarding the different land cover classes. In the analyses, we used the main categories, with the exception of Forest and seminatural areas where we included eight individual forest types: Pine forest, Spruce forest, Mixed coniferous forest, Mixed forest, Broadleaved forest, Broadleaved hardwood forest, Broadleaved forest with hardwood forest and Temporarily non-forest.
To calculate landscape configuration metrics at each sampling site, we used land cover data from the GIS buffers with a 1000m radius, exported to GeoTIFF format and analyzed them with FRAGSTATS version 4. For landscape heterogeneity we used Shannons’ diversity index (SHDI) and to measure the aggregation of landscape attributes we used Contagion (CONTAG). As measures of forest configuration, we used percent of forest cover (PLAND) and total forest edge length (TE).
All statistical analyses were performed with R version 4.0.3. To analyze the effect of possible risk factors for tick abundance in different greenspaces across the natural-urban gradient, we used generalized linear mixed models assuming Poisson distributed residuals. As the data contained a larger proportion of zeros than would be expected according to a Poisson or a negative binomial distribution causing overdispersion, we fitted zero-inflated Poisson models using the package glmmTMB (generalized linear mixed models using Template Model Builder)</description>
      <pubDate>Tue, 08 Aug 2023 14:38:20 GMT</pubDate>
      <link>https://researchdata.se/en/catalogue/dataset/2023-110-1</link>
      <guid>https://researchdata.se/en/catalogue/dataset/2023-110-1</guid>
      <dc:publisher>Södertörn University</dc:publisher>
      <dc:creator>Thérese Janzén</dc:creator>
    </item>
    <item>
      <title>Media, Trust and Information</title>
      <description>The proposed urgent project has the purpose to collect thick, qualitative material on how citizens’ media trust evolves during the Corona pandemic. During the last two decades discussions of a crisis of trust have been emerging in democratic societies. Contemporary debates about fake news and disinformation have contributed further to the challenges of shrinking trust in especially the media. The Corona pandemic has made research into media trust even more important. In turbulent times, the amount and speed of misinformation, i.e. false information that is spread unknowingly, and disinformation, i.e. false information that is spread deliberately, accelerates. The proposed project will document the development of media trust in Sweden with the help of diaries and in-depth interviews. It is a unique opportunity to see media trust rapidly changing that will allow us to learn for future crises, but also help to re-conceptualize media trust more generally. The collected material will be made accessible for other research projects.

The data consists of 6 files, containing the answers to the interview questions for each survey round. The background variables and questions asked in each round are described in the Readme document.</description>
      <pubDate>Tue, 20 Sep 2022 11:48:43 GMT</pubDate>
      <link>https://researchdata.se/en/catalogue/dataset/2022-93-1</link>
      <guid>https://researchdata.se/en/catalogue/dataset/2022-93-1</guid>
      <dc:publisher>Södertörn University</dc:publisher>
      <dc:creator>Anne Kaun</dc:creator>
      <dc:creator>Peter Jakobsson</dc:creator>
      <dc:creator>Fredrik Stiernstedt</dc:creator>
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