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  • Accessibility levels for data

  • SND Logo
    Access to data through SND
  • Access to data through an external actor
  • Data are freely accessible
  • Access to data is restricted or accessible by request
  • Read more about our accessibility levels.

Discover our collections!

A collection consists of several datasets that are in some way connected. They can belong to the same research series, research infrastructure, or come from the same research expedition.

We also provide access to the special collections “Swedish party programs and election manifestos” and the Swedish Gallup Institute's public opinion surveys from 1942 to 1956.

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University of Gothenburg

  • H70, cohort 7: 70-year-olds born in 1944

H70 is one of the longitudinal population studies from Gothenburg where representative study samples of older people have been followed over a long period of time (metadata related to the H85, 95+ and Prospective Populat...

  • Ingmar Skoog, University of Gothenburg, Institute of Neuroscience and Physiology

University of Gothenburg

  • Ocean Data Survey Sweden 2023 - Survey response data

Ocean Data Survey Sweden 2023 aimed to highlight the trends, technologies, and challenges in using ocean data in Sweden in 2023. Ocean Data Survey Sweden 2023 was an online survey conducted 5 December 2023 to 15 January...

  • Ocean Data Factory Sweden
  • Torsten Linders, University of Gothenburg, Department of Marine Sciences
  • Jurie Germishuys, Combine Control Systems AB
  • +2
Published: 2024-02-29
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University of Gothenburg

  • H70, cohort 5: 70-year-olds born in 1922

H70 is one of the longitudinal population studies from Gothenburg where representative study samples of older people have been followed over a long period of time (metadata related to the H85, 95+ and Prospective Populat...

  • Ingmar Skoog, University of Gothenburg, Institute of Neuroscience and Physiology

University of Gothenburg

  • H70, kohort 6: 70-year-olds born in 1930

H70 is one of the longitudinal population studies from Gothenburg where representative study samples of older people have been followed over a long period of time (metadata related to the H85, 95+ and Prospective Populat...

  • Ingmar Skoog, University of Gothenburg, Institute of Neuroscience and Physiology

University of Gothenburg

  • H70, cohort 3: 70-year-olds born in 1911/12

H70 is one of the longitudinal population studies from Gothenburg where representative study samples of older people have been followed over a long period of time (metadata related to the H85, 95+ and Prospective Populat...

  • Ingmar Skoog, University of Gothenburg, Institute of Neuroscience and Physiology

University of Gothenburg

  • H70, cohort 2: 70-year-olds born in 1906/07

H70 is one of the longitudinal population studies from Gothenburg where representative study samples of older people have been followed over a long period of time (metadata related to the H85, 95+ and Prospective Populat...

  • Ingmar Skoog, University of Gothenburg, Institute of Neuroscience and Physiology

University of Gothenburg

  • H70, cohort 4: 75-year-olds born in 1915/16

H70 is one of the longitudinal population studies from Gothenburg where representative study samples of older people have been followed over a long period of time (metadata related to the H85, 95+ and Prospective Populat...

  • Ingmar Skoog, University of Gothenburg, Institute of Neuroscience and Physiology

University of Gothenburg

  • H70, cohort 1: 70-year-olds born in 1901/02

H70 is one of the longitudinal population studies from Gothenburg where representative study samples of older people have been followed over a long period of time (metadata related to the H85, 95+ and Prospective Populat...

  • Ingmar Skoog, University of Gothenburg, Institute of Neuroscience and Physiology

University of Gothenburg

  • Prospective Population Study of Women in Gothenburg (PPSW) - Psychiatric Sub-Studies

This data description concerns the psychiatric sub-studies of the Prospective Population Study of Women in Gothenburg (PPSW). PPSW is a multidisciplinary longitudinal study, examining representative samples of women liv...

  • Ingmar Skoog, University of Gothenburg, Institute of Neuroscience and Physiology

Mid Sweden University

  • High Conservation Value Forests, Sweden (HCVFSw)

HCVFSw has been developed through a machine learning algorithm (Random Forest Classifier) as a part of a research project financed by the Swedish Environmental Protection Agency. It is based on a large set of biophysical...

  • Bengt Gunnar Jonsson, Mid Sweden University, Department of Natural Science, Design and Sustainable Development
  • Jakub Bubnicki, Polish Academy of Sciences, Mammal Research Institute, Division of Population Ecology, Białowieża, Poland
  • Per Angelstam, Swedish University of Agricultural Sciences, School for Forest Management
  • +2
Published: 2024-03-12
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  • Accessibility levels for data

  • SND Logo
    Access to data through SND
  • Access to data through an external actor
  • Data are freely accessible
  • Access to data is restricted or accessible by request
  • Read more about our accessibility levels.

Discover our collections!

A collection consists of several datasets that are in some way connected. They can belong to the same research series, research infrastructure, or come from the same research expedition.

We also provide access to the special collections “Swedish party programs and election manifestos” and the Swedish Gallup Institute's public opinion surveys from 1942 to 1956.