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    <title>Researchdata.se</title>
    <description>Search results</description>
    <language>en</language>
    <item>
      <title>Catchment characteristics and water chemistry of over 5000 nationally monitored Swedish lakes</title>
      <description>This dataset contains data for catchment characteristics and lake water chemistry for lakes in the Swedish Lake Survey, SLS (omdrevstationer), and trend lake (trendlakestationer) monitoring programs. Both surveys, the Swedish Lake Survey and the trend lake survey, are compiled at the Swedish University of Agricultural Sciences (SLU) as part of the university's environmental monitoring and assessment programme Lakes and Watercourses. This makes up a dataset of 5140 lakes (110 of which are trend lakes monitored 4 times a year and 5030 survey lakes monitored every 6 years, some lakes are in both programs), all &gt;1 ha in lake area. For each of these programs this dataset includes (1) time series of water chemistry for all the stations, (2) shapefile with the catchment delineation and station coordinates, and (3) a file summarizing catchment characteristics. Catchment characteristics include land cover, soil depth, peat coverage, ditch density, ditch density in peat areas, NDVI, lake water chemistry,  atmospheric deposition, precipitation, temperature, precipitation as snow, percentage above the high coast line, and runoff. An extra file, 'significance.csv', was added in version 2 of this dataset containing the significance (p-value) of slope estimators, where applicable.

This dataset also includes the code used to extract the data used to generate this time series and characteristics.  As such this data can be reproduced, and extended from the information contained in the dataset.

The following files are included in the dataset: 

**Documentation**
readme_overview.md: An overview of what the dataset contains (further elaborated in readme_data.md) and how it was generated (further elaborated in readme_code.md). 

readme_data.md: Documentation of the final datasets files, including units, reference to the code used to generate, and original data source.

readme_code.md: Documentation of the code and functions used to generate the dataset. A static version can be found in the dataset as git_freeze and a live version of the code can be found at https://github.com/aalackner/DOC_catchments. 

**Data**
chemistry_SLS.csv:  14107 x 46,  4.8MB
chemistry_trend.csv: 16018 x 46,  5.1MB

characteristics_SLS.csv: 5030 x 81,  6MB
characteristics_trend.csv: 110 x 93,  0.16MB
significance.csv: 5137 × 27, 1.21 MB 

SLS.zip: 6194 polygons, 20MB
trend.zip: 111 polygons, 0.3MB

etc.zip: 114 MB
etc.zip is a folder with additional timeseries data used in the calculation of characteristics.</description>
      <pubDate>Tue, 19 May 2026 07:31:12 GMT</pubDate>
      <link>https://researchdata.se/en/catalogue/dataset/2025-256</link>
      <guid>https://researchdata.se/en/catalogue/dataset/2025-256</guid>
      <dc:publisher>Swedish University of Agricultural Sciences</dc:publisher>
      <dc:creator>Anna Lackner</dc:creator>
      <dc:creator>Emil Back</dc:creator>
    </item>
    <item>
      <title>Socio-political attitudes 1975</title>
      <description>The central aim of the study is looking at various aspects of political perception as a function of socio-political ideology. The politically percepted objects consists mainly of political parties, party-leaders and countries. The measurement of political perception is made through multi-dimensional scaling, semantic differential and political differential. Political ideology is operationalized through party affiliation and socio-political attitude (measured with a specially designed scale). From these data some indexes are generated on the individual level for cognitive articulation and cognitive differentiation which then are related to the individual's socio-political ideology. The first part of the study contains questions about attitudes to various phenomena in society, socio-economical questions, party preferences (own, parents), education of relatives, estimation of: left-right, religiosity and extremism. The second part (where the sample is a subgroup of the first part's sample) contains the same questions plus estimations of: some Swedish politicians, countries (Sweden, USA, the Soviet Union and China) and Swedish political parties.</description>
      <pubDate>Thu, 23 Apr 2026 13:18:06 GMT</pubDate>
      <link>https://researchdata.se/en/catalogue/dataset/snd0210-1</link>
      <guid>https://researchdata.se/en/catalogue/dataset/snd0210-1</guid>
      <dc:publisher>Stockholm University</dc:publisher>
      <dc:creator>Bo Ekehammar</dc:creator>
    </item>
    <item>
      <title>Common law households and marriage frequency 1974</title>
      <description>The aim is that the material should illustrate the unmarried cohabitation that has been more frequent from the mid-sixties. Married couples are compared with unmarried cohabitant couples from Gävle. Questions about personal data, background to cohabitation and/or marriage, engagement and marriage, parents and knowledge about legal and social matters.</description>
      <pubDate>Thu, 16 Apr 2026 11:27:13 GMT</pubDate>
      <link>https://researchdata.se/en/catalogue/dataset/snd0125-1</link>
      <guid>https://researchdata.se/en/catalogue/dataset/snd0125-1</guid>
      <dc:publisher>Uppsala University</dc:publisher>
      <dc:creator>Jan Trost</dc:creator>
    </item>
    <item>
      <title>Work, unions and co-determination 1979 and 1981</title>
      <description>In 1977 a new law called 'Act on Co-determination' came into force in Sweden. According to this law trade unions have the right to be informed about all circumstances that are, or could be, of importance for the members of the union. The unions have the right to express their opinions on almost every important question at 'the establishment'. This is allowed for in a special type of negotiation. An employer has after negotiations however the right to make a decision without bothering about the union's opinion. This law is supposed to regulate the unions rights to participate in the decision making process at the establishment. It is an important part of the complex system of formal norms that regulates the relations between trade unions and employers in Sweden. The research project 'Work, Unions and participation' studied how local actors - unions and employers - have adapted to this system of norms.
This study is composed of two survey studies, designed as a panel study. The population is restricted to following branches: manufacturing, trade, transports and communications, education, social welfare and public health. The sample size is about 500 establishments, which means 25% of the population. Two types of questionnaires were sent to respondents at these places of work. One was sent to the local leadership, which was usually answered by the local manager or an equivalent person, one questionnaire was sent to each of the trade unions which were active at the place of work.

This data description contains datasets for: 
Work, Unions and Co-determination 1981 – Trade Union 
Work, Unions and Co-determination 1981 – Establishment
Work, Unions and Co-determination 1979 – Trade Union 
Work, Unions and Co-determination 1979 – Establishment</description>
      <pubDate>Tue, 07 Apr 2026 14:00:56 GMT</pubDate>
      <link>https://researchdata.se/en/catalogue/dataset/snd0041-1</link>
      <guid>https://researchdata.se/en/catalogue/dataset/snd0041-1</guid>
      <dc:publisher>University of Gothenburg</dc:publisher>
      <dc:creator>Sven-Åke Hörte</dc:creator>
      <dc:creator>Horst Hart</dc:creator>
    </item>
    <item>
      <title>Youth and sexuality 1978</title>
      <description>A cooperation project between the department of sociology at Uppsala University and the clinic of school gynecology in Uppsala, the purpose of which is to illustrate youths´ attitude to and experience of sexuality. 
The study-population consists of two groups, one of patients at the clinic of school gynecology and one of students who have not been in contact with the clinic. Both groups have answered identical questionnaires about personal data, information on sex, sexual attitudes, knowledge about sex, sexual experiences, contraceptives/use, knowledge, attitudes, feelings about sex and attitudes to sexual behaviour.</description>
      <pubDate>Thu, 02 Apr 2026 10:35:07 GMT</pubDate>
      <link>https://researchdata.se/en/catalogue/dataset/snd0107-1</link>
      <guid>https://researchdata.se/en/catalogue/dataset/snd0107-1</guid>
      <dc:publisher>Uppsala University</dc:publisher>
      <dc:creator>Bo Lewin</dc:creator>
    </item>
    <item>
      <title>Changes in the Swedish society 1976</title>
      <description>The study tries to find out what interaction there is between employees working situation and working conditions and their perception of and attitudes towards different types of changes in society. The study is made in two steps, first all 1294 respondents answered the questionnaire and then 164 of them were interviewed in the second step.</description>
      <pubDate>Wed, 01 Apr 2026 14:46:54 GMT</pubDate>
      <link>https://researchdata.se/en/catalogue/dataset/snd0094-1</link>
      <guid>https://researchdata.se/en/catalogue/dataset/snd0094-1</guid>
      <dc:publisher>Uppsala University</dc:publisher>
      <dc:creator>Ulf Himmelstrand</dc:creator>
    </item>
    <item>
      <title>Meteorological data from Mälaren - Galten Island, 1999-01-02–2025-11-30</title>
      <description>Automatic weather station data from locations within the distributed Swedish research infrastructure SITES. Check preview or file for the specific parameters included at this location. Data has been quality controlled and cleaned from outliers and other events producing unrealistic data. Gaps have not been filled.
Erken Laboratory (2026). Meteorological data from Mälaren - Galten Island, 1999-01-02–2025-11-30 [Data set]. Swedish Infrastructure for Ecosystem Science (SITES). https://hdl.handle.net/11676.1/ZjqIof7xjkVPTjAwq_DHdF8i</description>
      <pubDate>Tue, 31 Mar 2026 00:00:00 GMT</pubDate>
      <link>https://researchdata.se/en/catalogue/dataset/sites-zjqiof7xjkvptjawq-dhdf8i</link>
      <guid>https://researchdata.se/en/catalogue/dataset/sites-zjqiof7xjkvptjawq-dhdf8i</guid>
      <dc:publisher>Uppsala University</dc:publisher>
    </item>
    <item>
      <title>Meteorological data from Mälaren - Galten Island, 1999-01-01–2025-12-01</title>
      <description>Automatic weather station data from locations within the distributed Swedish research infrastructure SITES. Check preview or file for the specific parameters included at this location. Data has been quality controlled and cleaned from outliers and other events producing unrealistic data. Gaps have not been filled.
Erken Laboratory (2026). Meteorological data from Mälaren - Galten Island, 1999-01-01–2025-12-01 [Data set]. Swedish Infrastructure for Ecosystem Science (SITES). https://hdl.handle.net/11676.1/MRnUdaWGjQL0RLHXHe-ex0So</description>
      <pubDate>Tue, 31 Mar 2026 00:00:00 GMT</pubDate>
      <link>https://researchdata.se/en/catalogue/dataset/sites-mrnudawgjql0rlhxhe-ex0so</link>
      <guid>https://researchdata.se/en/catalogue/dataset/sites-mrnudawgjql0rlhxhe-ex0so</guid>
      <dc:publisher>Uppsala University</dc:publisher>
    </item>
    <item>
      <title>Data and R-code for the publication Projected wind energy on forest land – A land use transition trajectory to reach 100% renewable energy goal in Sweden</title>
      <description>Data files and R codes supporting the results presented in the publication. The majority of the data files are based on zonal statistics to analyze the occurrence of land cover, landowner categories and different types of forest on four scales (wind site, planning area, county, and ecoregion). Hence, the data is numeric reflecting pixel (10x10m) abundance of a certain type or category. Data are sorted by county.</description>
      <pubDate>Wed, 25 Mar 2026 10:10:27 GMT</pubDate>
      <link>https://researchdata.se/en/catalogue/dataset/2026-22</link>
      <guid>https://researchdata.se/en/catalogue/dataset/2026-22</guid>
      <dc:publisher>Swedish University of Agricultural Sciences</dc:publisher>
      <dc:creator>Wiebke Neumann</dc:creator>
      <dc:creator>Johan Svensson</dc:creator>
      <dc:creator>Therese Bjärstig</dc:creator>
    </item>
    <item>
      <title>The International Cooperative Programme on Integrated Monitoring of Air Pollution Effects on Ecosystems (ICP IM)</title>
      <description>The International Cooperative Programme on Integrated Monitoring of Air Pollution Effects on Ecosystems (ICP IM) presents a comprehensive long-term dataset of ongoing integrated ecosystem monitoring from European forested catchments. The dataset encompasses measurements from monitoring stations across 14 European countries, with temporal coverage extending for most sites from the 1990s to 2020. The dataset will be updated with new data once per year. The integrated monitoring approach applies over multiple monitoring subprogrammes to simultaneously measure physical, chemical, and biological properties across ecosystem compartments including atmosphere, precipitation, throughfall, soil, soil water, groundwater, runoff water, vegetation, and biota. All measurements follow standardised protocols detailed in the ICP IM Manual, ensuring data quality and comparability across sites and time periods. The dataset supports research on ecosystem responses to air pollution, climate change impacts, and biogeochemical cycling. 

Data is provided by sub-programme (all sites and all years with data in one file), geographic co-ordinates for sites are available in a separate file. Historical data from inactive sites in Belarus, Denmark, Iceland and the United Kingdom are currently available by request, as is data from Finland in sub-programmes TF,SF,SC,SW,FC,LF,FD,VG,EP and BV, and data from Poland. The monitoring is done under the framework of the UN Convention on Long-Range Transboundary Air Pollution (CLRTAP) and also has an important role in reporting under the EU national emissions ceiling directive (NECD). Users are strongly encouraged to refer to the ICP IM Monitoring Manual which describes in detail the methods used to make measurements in the field and the laboratory, the data formats used, explanations of column headers and flags used in all subprogrammes and example files. This is provided alongside the data.</description>
      <pubDate>Thu, 19 Mar 2026 08:16:31 GMT</pubDate>
      <link>https://researchdata.se/en/catalogue/dataset/2024-180</link>
      <guid>https://researchdata.se/en/catalogue/dataset/2024-180</guid>
      <dc:publisher>Swedish University of Agricultural Sciences</dc:publisher>
      <dc:creator>James Weldon</dc:creator>
      <dc:creator>Wenche Aas</dc:creator>
      <dc:creator>Barbara Albiniak</dc:creator>
      <dc:creator>Algirdas Augustaitis</dc:creator>
      <dc:creator>Ieva Baužienė</dc:creator>
      <dc:creator>Camilla Capelli</dc:creator>
      <dc:creator>Nicholas Clarke</dc:creator>
      <dc:creator>Thomas Cummins</dc:creator>
      <dc:creator>Heleen de Wit</dc:creator>
      <dc:creator>Thomas Dirnböck</dc:creator>
      <dc:creator>Ika Djukic</dc:creator>
      <dc:creator>Karin Eklöf</dc:creator>
      <dc:creator>Martin Forsius</dc:creator>
      <dc:creator>Martyn Futter</dc:creator>
      <dc:creator>Ulf Grandin</dc:creator>
      <dc:creator>Sergey Gromov</dc:creator>
      <dc:creator>Adéla Holubová Šmejkalová</dc:creator>
      <dc:creator>Ricardo Ibañez</dc:creator>
      <dc:creator>Iveta Indriksone</dc:creator>
      <dc:creator>Sara Jutterström</dc:creator>
      <dc:creator>Johannes Kobler</dc:creator>
      <dc:creator>Heidi Koger</dc:creator>
      <dc:creator>Angelika Kölbl</dc:creator>
      <dc:creator>Andrzej Kostrzewski</dc:creator>
      <dc:creator>Anna Koukhta</dc:creator>
      <dc:creator>Pavel Krám</dc:creator>
      <dc:creator>Robert Kruszyk</dc:creator>
      <dc:creator>Esther Lasheras</dc:creator>
      <dc:creator>Kairi Lõhmus</dc:creator>
      <dc:creator>Mikołaj Majewski</dc:creator>
      <dc:creator>Hampus Markensten</dc:creator>
      <dc:creator>Rafael Miranda</dc:creator>
      <dc:creator>Michael Mirtl</dc:creator>
      <dc:creator>Filip Moldan</dc:creator>
      <dc:creator>Giancarlo Papitto</dc:creator>
      <dc:creator>Johannes Peterseil</dc:creator>
      <dc:creator>Ainis Pivoras</dc:creator>
      <dc:creator>Gisela Pröll</dc:creator>
      <dc:creator>Pernilla Rönnback</dc:creator>
      <dc:creator>Carolina Santamaría</dc:creator>
      <dc:creator>Jesus Miguel Santamaría</dc:creator>
      <dc:creator>Thomas Plha</dc:creator>
      <dc:creator>Krzysztof Skotak</dc:creator>
      <dc:creator>David Elustondo</dc:creator>
      <dc:creator>Mercedes Valerio</dc:creator>
      <dc:creator>Sarah Venier</dc:creator>
      <dc:creator>Lieke Vlaar</dc:creator>
      <dc:creator>Jussi Vuorenmaa</dc:creator>
      <dc:creator>Nicole Wellbrock</dc:creator>
      <dc:creator>Liisa Ukonmaanaho</dc:creator>
      <dc:creator>Ulla Makkonen</dc:creator>
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