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    <title>Researchdata.se</title>
    <description>Search results</description>
    <language>en</language>
    <item>
      <title>Databas: Adaptiva, effektiva och legitima förvaltningsystem? En inventering av aktuell kunskap om viltförvaltningen i Norden</title>
      <description>Database for the wildlife research project 'Adaptiva, effektiva och legitima förvaltningsystem?En inventering av aktuell kunskap om viltförvaltningen i Norden', funded by the Swedish Environmental Protection Agency (Naturvårdsverket).

Excel file

The dataset was originally published in DiVA and moved to SND in 2024.</description>
      <pubDate>Tue, 31 Jan 2023 00:00:00 GMT</pubDate>
      <link>https://researchdata.se/en/catalogue/dataset/2024-390</link>
      <guid>https://researchdata.se/en/catalogue/dataset/2024-390</guid>
      <dc:publisher>Luleå University of Technology</dc:publisher>
      <dc:creator>Jens Nilsson</dc:creator>
    </item>
    <item>
      <title>ISSP 2014 - Citizenship II: Sweden - ISSP 2014 Citizenship II: Sweden</title>
      <description>This survey is the Swedish part of the 2014  'International Social Survey Program' (ISSP), and it is the second time an ISSP-survey is focusing on Citizenship.

Purpose:

ISSP aims to design and implement internationally comparable attitude surveys. The study in 2014 is focussing on Citizenship.</description>
      <pubDate>Fri, 20 Jan 2017 00:00:00 GMT</pubDate>
      <link>https://researchdata.se/en/catalogue/dataset/snd0977-1</link>
      <guid>https://researchdata.se/en/catalogue/dataset/snd0977-1</guid>
      <dc:publisher>Umeå University</dc:publisher>
      <dc:creator>Jonas Edlund</dc:creator>
    </item>
    <item>
      <title>Interviews with 22 children who has visited a relative in an adult intensive care unit</title>
      <description>AIM: This paper is a report of a study of children's experiences of visiting a seriously ill/injured relative in an intensive care unit.

BACKGROUND: Little attention has been paid to children's experiences and needs when visiting a relative being cared for at a high technological adult intensive care unit. Instead, the focus has been on adult's experiences and needs.

METHOD: In 2004, 28 children (14 girls, 14 boys) aged 4-17 years who had visited an adult relative were interviewed 3 months after the visit. A hermeneutic approach was used when interpreting and analysing the text.

FINDINGS: Four themes were generated from the data: It meant waiting, It was strange, It was white and It was good. Waiting was experienced as difficult, increasing the feeling of uncertainty, exclusion and separation, which in turn led to tension and concern. 'It was strange' was perceived as unfamiliar but also with interest and curiosity. The experience of the intensive care unit was that it was white. Everything in the patient's room was experienced as white and gloomy. It lacked joy. 'It was good' was stated about the outcome of the visit because through this they were given the opportunity to meet and see the relative by themselves. This evoked feelings of relief and joy. The visit did not seem to frighten the child; instead it generated feelings of release and relief.

CONCLUSION: Children's experiences of visiting an adult intensive care unit seem to support theories that emphasize the involvement and participation of children in family matters.

Purpose:

To describe and understand children’s thoughts and feelings related to visiting critically ill relatives or family members in an adult intensive care unit.

Interviews with 22 children who has visited a relative in an adult intensive care unit</description>
      <pubDate>Mon, 08 Jul 2024 12:14:01 GMT</pubDate>
      <link>https://researchdata.se/en/catalogue/dataset/snd1089-1</link>
      <guid>https://researchdata.se/en/catalogue/dataset/snd1089-1</guid>
      <dc:publisher>University of Gothenburg</dc:publisher>
      <dc:creator>Ingegerd Bergbom</dc:creator>
      <dc:creator>Susanne Knutsson</dc:creator>
    </item>
    <item>
      <title>Data for: End-of-production light treatments as a tool for controlling chemical composition of herbs and lettuce</title>
      <description>The data material comprises raw data from a series of experiments performed at SLU Alnarp, with chemical analyses performed at HAMK in Finland. The data comprises both biological data and chemical data from plants cultivated in greenhopuses and climate chambers. Explanations for each data set is availbale in each file.</description>
      <pubDate>Mon, 16 Mar 2026 13:53:26 GMT</pubDate>
      <link>https://researchdata.se/en/catalogue/dataset/2025-182</link>
      <guid>https://researchdata.se/en/catalogue/dataset/2025-182</guid>
      <dc:publisher>Swedish University of Agricultural Sciences</dc:publisher>
      <dc:creator>Karl-Johan Bergstrand</dc:creator>
    </item>
    <item>
      <title>Impacts of reducing water collection times in rural Kenya: Meru ESM RCT</title>
      <description>We measured momentary well-being using the Experience Sampling Method (ESM) among 220 water collectors in rural Meru County, Kenya over eight weeks. Subjects reported on affect and time use at four randomly-chosen times through the day (Monday through Saturday) on a custom-designed ODK survey app, deployed on a low-cost smartphone.  Subjects completed a second ODK survey each weekday evening, reporting on school attendance, study time and chores performed for each school-aged child in the household.  After several weeks of baseline data, half of households were randomly chosen to receive free delivery of water to their door for four weeks, reducing water collection times to (near) zero. In-person baseline, midline and endline surveys were conducted by enumerators.

The dataset “Meru ESM RCT.dta” contains (in Stata format) the merged data from the ESM exercise and the baseline, midline and endline surveys.  The baseline, midline and endline survey were conducted once with each household, but each household completed multiple ESM surveys.  This dataset contains 12,956 observations, so to recreate the baseline, midline and endline datasets (one row per household) one would collapse the data on phoneid.
The baseline, midline and endline surveys contain some data and questions that were repeated across waves.  To make variable names unique, a “_base”, “_mid” or “_end” is appended at the end of the variable name.  For example, each survey contained the time that the interviewer opened the app and started the survey (start), as did the ESM survey completed by the subject.  This dataset therefore contains four variables, start (the ESM surveys), start_base, start_mid, and start_end.
All data was collected in ODK apps.  These apps are compiled based on data in Excel spreadsheets, including variable names, questions, and answer codes.  These ODK excel spreadsheets thus also serve as data dictionaries.  
The key unique identifier linking records is phoneid.  This is an identifier created by the team, and is not a phone number, or SIM serial number that is any way identifiable.
With few exceptions, data files do not contain any variables generated ex-post by the researchers. The exception is a variable tracking treatment status.  The original, randomly-assigned treatment status is encoded in treat.  But because implementation of the treatment program was uneven in the first week (and particularly the first two days) due to logistical issues, the team created three time-varying treatment variables capturing three assumptions. trtsimple drops all treated households from the dataset during the first two days of treatment. trtconserv drops all treated households until the water delivery system was running as planned, dropping approximately 2 weeks of data.  trtmain uses detailed information collected by the study team about the dates and locations where water delivery was operating as expected.  In other words, if the team has data that treated households in a given location were delivered water as planned on a given day, we do not drop those treated households even if other treated households elsewhere did not receive water as planned.</description>
      <pubDate>Mon, 11 Apr 2022 10:22:12 GMT</pubDate>
      <link>https://researchdata.se/en/catalogue/dataset/snd1294-1</link>
      <guid>https://researchdata.se/en/catalogue/dataset/snd1294-1</guid>
      <dc:publisher>University of Gothenburg</dc:publisher>
      <dc:creator>Jane Kabubo-Mariara</dc:creator>
      <dc:creator>Peter Kimuyu</dc:creator>
      <dc:creator>Joseph Cook</dc:creator>
    </item>
    <item>
      <title>The Cohort of Swedish Men (COSM)</title>
      <description>The Cohort of Swedish Men is a large population-based cohort of over 45,000 men in the counties of Västmanland and Örebro. All men born 1918-1952 who were residing in Västmanland and Örebro County in 1997 received an invitation to participate in this research study and a questionnaire to answer and return. The questionnaire included information about modifiable lifestyle factors such as diet, physical activity, smoking, weight, use of dietary supplements, some prescribed drugs, alcohol intake in addition to some gender specific questions. 

Approximately 48,000 men responded. Follow-ups were done during 2008/2009 and 2019. The study examine associations of environmental/modifiable risk factors with several cancer sites (e.g., prostate, colorectal and renal cell cancer), myocardial infarction, stroke, cataracts, as well as death causes.  The study has a longitudinal design, and to complement the update on exposure data record linkages to the nationwide Cancer Register, the In-Patient Register, and the Cause of Death Register and Population Register are also done. The questionnaires used in the Cohort of Swedish men are the same as the ones that have been used in the Swedish Mammography Cohort (SMC). 

A clinical examination of a subcohort of COSM living in Västerås was conducted between 2010 and 2019. Participants with urological cancer have been sampled at the urological clinic at the hospital in Örebro 
since 2014. In 2014, researchers at Örebro University and Örebro Hospital started collecting blood samples (whole blood, plasma, and serum) from members of COSM with incident urological cancer (prostate, kidney, bladder, and penile cancer). Urine is additionally collected from prostate cancer patients. To date, samples from 232 prostate cancer cases have been collected.



For more detailed information please visit the SIMPLER website, https://www.simpler4health.se/w/sh/en/researchers/cohorts/cohort-of-swedish-men---cosm

For restrictions in data use see https://www.simpler4health.se/w/sh/en/researchers/rules-and-guidelines and https://www.simpler4health.se/w/sh/en/researchers/publication-policy.</description>
      <pubDate>Sun, 01 Jan 2012 00:00:00 GMT</pubDate>
      <link>https://researchdata.se/en/catalogue/dataset/ext0015-1</link>
      <guid>https://researchdata.se/en/catalogue/dataset/ext0015-1</guid>
      <dc:publisher>Uppsala University</dc:publisher>
      <dc:creator>Karl Michaëlsson</dc:creator>
    </item>
    <item>
      <title>Hunting Pumpkinseed (Lepomis gibbosus): A eDNA study in the Kungsbacka area</title>
      <description>In July 2018, dead Pumpkinseed fish (Lepomis gibbosus) were found in a river near the church in Älvsåker (Kungsbacka municipality, Halland County). The fish most likely originated from a artificial pond, which via a stream is connected to the location where the dead fish was found. A large number of Pumpkinseed fish were discovered in the pond - something the owner of the pond water was unaware of. It was decided that the pond would be emptied (which happened later in the summer) and kept empty until all the fish were dead. The mission of this investigation was to investigate a number of water bodies (rivers and ponds) with eDNA technology to find out if DNA traces of the fish could be detected in the sourroundings of the source pond. To this end samples were to be taken on a total of ten different premises in Kungsbackaån, Lillån and nearby watercourses (Skårsjöån, Rolfsån, and canal between Kungsbackaån and Rolfsån). It is important to mention that the sampling was performed when it was still so dry that there was no water in the furrow from the pond where the species was present in large quantities. The study and itsresults are reported in the attached publication.

The dataset includes 5 files, with 3 log-files (analysis log and error-log), plus 2 result files, with documentation.</description>
      <pubDate>Fri, 15 Mar 2019 00:00:00 GMT</pubDate>
      <link>https://researchdata.se/en/catalogue/dataset/snd1092-1</link>
      <guid>https://researchdata.se/en/catalogue/dataset/snd1092-1</guid>
      <dc:publisher>Swedish University of Agricultural Sciences</dc:publisher>
      <dc:creator>Patrik Bohman</dc:creator>
      <dc:creator>Matthias Obst</dc:creator>
    </item>
    <item>
      <title>DNA sequencing data for "Stable clonal contribution of lineage-restricted stem cells to human hematopoiesis"</title>
      <description>This dataset contains three types of DNA sequencing data.
-Error-corrected DNA capture sequencing (ECTS)
-Bulk whole-exome sequencing (WES)
-Single-colony whole-genome sequencing (WGS)
All sequencing was performed on an Illumina NovaSeq 6000 at the National Genomics Infrastructure in
Stockholm, using paired-end sequencing mode.

ECTS
Bone marrow mononuclear cells isolated from all 93 healthy donors were subjected to ECTS for identification of somatic mutations targeted to 23 genes encompassing the most recurrently mutated genes reported in clonal hematopoiesis.

WES
BM MNC DNA isolated from the first visit from 20 healthy donors above 71 years was subjected bulk WES. Paired buccal swab DNA was used for normal controls.

Single colony WGS
DNA extracted from 333 genotyped single colonies and 10 control buccal swabs from 10 donors was subjected to WGS.

The dataset consists of three folders:
scWGS contains 343 files in CRAM format, totaling approximately 16.3 TiB (17.9 TB).
WES contains 40 files in CRAM format, totaling approximately 650 GiB (710 GB).
ECTS contains 117 files in CRAM format, totaling approximately 18 GiB (20 GB).</description>
      <pubDate>Fri, 03 Oct 2025 12:57:47 GMT</pubDate>
      <link>https://researchdata.se/en/catalogue/dataset/2024-129</link>
      <guid>https://researchdata.se/en/catalogue/dataset/2024-129</guid>
      <dc:publisher>Karolinska Institutet</dc:publisher>
      <dc:creator>Tetsuichi Yoshizato</dc:creator>
      <dc:creator>Sten Eirik Jacobsen</dc:creator>
    </item>
    <item>
      <title>STAGE - Study of Twin Adults: Genes and Environment</title>
      <description>Between 2004 and 2006, the Swedish Twin Registry (STR) conducted a nationwide data collection targeting twins born in Sweden between 1959 and 1985. The purpose was to study the most common complex diseases and to measure exposures relevant during young adulthood and midlife. This was the first study within STR to use a web-based questionnaire as the primary method of data collection.

The target population included both monozygotic and dizygotic twins, of both same-sex and opposite-sex pairs, provided that both twins had survived at least the first year of life. Approximately 43,000 individuals were contacted.

Participants were invited to complete a web-based survey that included questions on, among other topics, common health problems, lifestyle habits, and environmental exposures, with a particular focus on tobacco use and smoking cessation behaviors. As a complement, participants were also offered the opportunity to complete the survey via telephone interview conducted by a trained interviewer.

The overall response rate was approximately 60 percent, corresponding to just over 25,000 study participants.


The following question areas are included:

ADHD 
Alcohol
Allergy and eczema
Anxiety
Arthritis
Asthma
Burnout
CESD - Center for Epidemiological Studies Depression
Chronic fatigue
Coffee and tea
Depression
Eating disorders
Education and occupation
Epilepsy
EPQ - Eysenck Personality Questionnaire
GWAS - Genotype data 
Headache
IBS - irritable bowel syndrome
Illicit drugs
Impulsivity
Incontinence/Interstitial cystitis
Leadership
Medical history
Menstrual and reproductive history
Nutrition
OCD
Pain
Perfectionism
Performance
Personality disorder
Physical activity
Reflux
Sexual risk behavior
Sleep patterns
Smoking and snuffing
Stressful trauma
TCI - Self-directedness
Tics
Tourette's Syndrome</description>
      <pubDate>Mon, 11 Aug 2025 13:22:37 GMT</pubDate>
      <link>https://researchdata.se/en/catalogue/dataset/2024-475</link>
      <guid>https://researchdata.se/en/catalogue/dataset/2024-475</guid>
      <dc:publisher>Karolinska Institutet</dc:publisher>
      <dc:creator>Patrik Magnusson</dc:creator>
      <dc:creator>Nancy Pedersen</dc:creator>
    </item>
    <item>
      <title>Swedish EAT: question classification</title>
      <description>I. IDENTIFYING INFORMATION

Title*
Swedish EAT v1.0

Subtitle

Created by*
Jonatan Cerwall (jonatancerwall@gmail.com)

Publisher(s)*
Språkbanken Text

Link(s) / permanent identifier(s)*

License(s)*

Abstract*

      This dataset is a translated version of the QAQC dataset
      (https://cogcomp.seas.upenn.edu/Data/QA/QC/) for expected-answer-type
      classification. Taxonomy is the Li and Roth Taxonomy, also from
      https://cogcomp.seas.upenn.edu/Data/QA/QC/.

Funded by*

Cite as

      Cerwall, J. (2021). What the BERT? Fine-tuning KB-BERT for Question
      Classification. Unpublished manuscript, School of Electrical Engineering
      and Computer Science, KTH.

Related datasets

II. USAGE

Key applications
Machine learning, EAT Classification

Intended task(s)/usage(s)
Evaluate models by standard classification

Recommended evaluation measures
Accuracy

Dataset function(s)
Testing

Recommended split(s)
Test only

III. DATA

Primary data*
Text

Language*
Swedish

Dataset in numbers*
5451 questions in training set, 500 in test set.

Nature of the content*
Open ended factoid questions.

Format*
Comma-separated, four columns:

text -- the open ended factoid question

      verbose label -- both the coarse-grained label and the fine-grained label
      formatted as COARSE:fine

coarse label -- coarse-grained label

fine label -- fine-grained label

Data source(s)*

      Translated from the QAQC dataset
      (https://cogcomp.seas.upenn.edu/Data/QA/QC/)

Data collection method(s)*
--

Data selection and filtering*
--

Data preprocessing*
--

Data labeling*
--

Annotator characteristics

IV. ETHICS AND CAVEATS

Ethical considerations

      "Some outdated treatment of women (eg "Vilka är de sexigaste kvinnorna i
      världen?")"

Things to watch out for

V. ABOUT DOCUMENTATION

Data last updated*
2021-07-27

Which changes have been made, compared to the previous version*
First version

Access to previous versions

This document created*
2021-07-27

This document last updated*
2023-06-08

Where to look for further details

Documentation template version*

VI. OTHER

Related projects

References</description>
      <pubDate>Mon, 01 Jan 2024 00:00:00 GMT</pubDate>
      <link>https://researchdata.se/en/catalogue/dataset/doi-10-23695-zgkb-s720</link>
      <guid>https://researchdata.se/en/catalogue/dataset/doi-10-23695-zgkb-s720</guid>
      <dc:publisher>University of Gothenburg</dc:publisher>
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