https://researchdata.se/en/catalogue Search results en The dataset consists of responses to close-ended questions from a national survey on digital needs and practices among researchers in the humanities and related fields, as well as cultural heritage professionals in Sweden. The close-ended questions include both yes/no questions and multiple-choice questions. The data were collected between May and September 2025 through an online survey using Microsoft Forms. The questionnaire is included as part of the dataset. A total of 208 responses were collected, of which 204 respondents consented to share their answers to the close-ended questions as part of an open access dataset. Responses from the four individuals who did not provide consent have been removed. Answers to open-ended questions are not included in the dataset. The survey was conducted as part of the work of Huminfra and DARIAH-SE. Mon, 20 Apr 2026 11:15:38 GMT https://researchdata.se/en/catalogue/dataset/2026-117 https://researchdata.se/en/catalogue/dataset/2026-117 Linnaeus University Julia Kuhlin Daniel Ihrmark Koraljka Golub Ahmad M. Kamal Data comes from a cluster-randomized controlled trial where a locally adapted version of the school-based intervention Good Behavior Game was evaluated at elementary schools in Malmö, Sweden, during 2021-2022. All data is on a school or classroom-level. More details regarding the study are available in the associated study protocol. More detailed raw data and any related key codes are stored in a secure system used by Lund University (LUSEC) and is disposed of in the year 2032 at the earliest. Fri, 12 Dec 2025 16:28:00 GMT https://researchdata.se/en/catalogue/dataset/2025-128 https://researchdata.se/en/catalogue/dataset/2025-128 Lund University Dariush Djamnezhad Martin Bergström Björn Hofvander In 2022 a request to participate in a research interview about people's experiences of using Natural Cycles (a mobile phone application and digital thermometer) as a form of contraception was sent via Natural Cycles to English speaking, Spanish speaking, Swedish speaking and Finnish speaking subscribers of Natural Cycles who had been using Natural Cycles in Prevent mode for more than 6 months. Approx. 300 people responded to this request which resulted in 134 people scheduling and attending an online semi-structured interview. The interviews focus on three core themes - people's reasons for choosing Natural Cycles as a form of contraception and their history of use; people's experiences of using Natural Cycles and reasons they have for trusting or not Natural Cycles as a form of contraception; and people's experiences of sharing Natural Cycles and the data it collects with others (intimate partners, friends, healthcare professionals). The data consists of 134 transcribed interviews in form of .doc files. 108 transcripts are in English, 1 Finnish, 12 Spanish and 13 in Swedish. Fri, 24 Jan 2025 14:38:50 GMT https://researchdata.se/en/catalogue/dataset/2023-33-1 https://researchdata.se/en/catalogue/dataset/2023-33-1 Royal Institute of Technology Madeline Balaam Airi Lampinen The Arabic E-Book Corpus is a freely available collection of 1,745 books (81.5 million words) published in by the Hindawi foundation between 2008 and 2024. The books are of various genres, including non-fiction, novels, children's literature, poetry, and plays. The corpus is provided in two versions: html and unformatted plain text. The latter version will be appropriate for most purposes. For additional detail, see Hallberg, A. (2025). An 81-million-word multi-genre corpus of Arabic books. Data in Brief, 60, 111456. https://doi.org/10.1016/j.dib.2025.111456 Wed, 11 Dec 2024 09:15:50 GMT https://researchdata.se/en/catalogue/dataset/2024-145 https://researchdata.se/en/catalogue/dataset/2024-145 University of Gothenburg Andreas Hallberg Data for the Formas project Climate adaptation in vulnerable occupational groups. An Ethnographic Study. ID 2022-01841. The material consists of media material downloaded from the database retriever.se (Mediearkivet). The retriever.se database enables searches in 4071 different Swedish media from 1945 onwards (printed media, online media, radio and TV, and podcasts). Keywords used: Klimatförändringar AND utomhusarbete, storm AND utomhusarbete, nederbörd AND utomhusarbete, klimat AND utomhusarbete, kyla AND utomhusarbete och värme AND utomhusarbete. If translated into English: climate change AND outdoor work, storm AND outdoor work, precipitation (rain and snow) AND outdoor work, climate AND outdoor work, cold AND outdoor work, heat AND outdoor work. Search on all sources and all dates, 1945-2024. Number of hits: 2, 7, 11, 72, 118 and 125 respectively (total 335). Most hits were from 2010 onwards. Selection: A strategic selection that focused on texts that not only briefly mentioned weather, climate and/or outdoor work, but had these or one of these as central themes. This selection resulted in 72 texts (including deleted duplicates). Mon, 18 Nov 2024 09:57:31 GMT https://researchdata.se/en/catalogue/dataset/2024-528 https://researchdata.se/en/catalogue/dataset/2024-528 Umeå University Bo Nilsson The dataset contains raw data from a survey study aimed at investigating the incidence and risk factors associated with large bloodworm infection. The data also contains a file with the zip code of where the respondent lives and the GPS coordinates of the zip code. The postal code data has been separated from the other data and has been processed separately from the survey's raw data. Tue, 21 May 2024 06:25:25 GMT https://researchdata.se/en/catalogue/dataset/2024-70 https://researchdata.se/en/catalogue/dataset/2024-70 Swedish University of Agricultural Sciences Ylva Hedberg Alm Eva Tydén Frida Martin Jessica Lernå Peter Halvarsson The Pep-study is a nation wide survey with the purpose of investigating children and young adults health in regard to food and physical activity. The Pep-study was conducted in 2019 where 29 000 children and young adults between the ages 4-17 were invited to participate in the study. The study is financially supported by Generation Pep and the Swedish Heart Lung Foundation. Sample size: 29000 Cause of non response -Respondent unable to participate: 169 The dataset contains three files: pep19.csv (ca 4.6 MB) pep19.dta (ca 0.5 MB) pep19.sav (ca 9.2 MB) The survey results and documentation are in Swedish. Wed, 27 Mar 2024 13:41:08 GMT https://researchdata.se/en/catalogue/dataset/2021-311-1 https://researchdata.se/en/catalogue/dataset/2021-311-1 Karolinska Institutet Marie Löf The Pep-study is a nation wide survey with the purpose of investigating children and young adults health in regard to food and physical activity. The Pep-study was conducted for the first time in 2018 where 29 000 children and young adults between the ages 4-17 were invited to participate in the study. The study is financially supported by Generation Pep and the Swedish Hjärt-Lungfonden. Sample size: 29000 Cause of non response -Respondent unable to participate: 185 Cause of non response - No contact/refusal: 1615 The dataset contains three files: pep18.csv (ca 6.6 MB) pep18.dta (ca 5.3 MB) pep18.sav (ca 29.5 MB) The survey results and documentation are in Swedish. Wed, 27 Mar 2024 13:40:45 GMT https://researchdata.se/en/catalogue/dataset/2021-310-1 https://researchdata.se/en/catalogue/dataset/2021-310-1 Karolinska Institutet Marie Löf This dataset contains a detailed description of the image analysis procedure used in Hallgren et al. (2023; PLOS Genetics) to perform single-cell measurements of the bacterium Caulobacter crescentus. More specifically, the procedure identifies individual C. crescentus cells in phase-contrast microscopy pictures, annotates their cell type, as well as their size and basic morphological features. The procedure can for example be used to quantify the proportion of swarmer cells to stalked cells in a population, to measure the size of cells and their stalks, and to determine the fraction of constricted predivisional cells in a population. The dataset includes: (1) ilastik project files, (2) custom Python scripts and ImageJ macros used for data processing, (3) settings for batch processing of images with the ImageJ plugin ‘MicrobeJ’, and (4) example data that can be used to run the image analysis pipeline from start to finish. The ilastik project files (.ilp) contain the random forest machine learning models used for their analysis, as well as the training dataset used to generate those models. The README file contains instructions on how to run the image analysis pipeline from start to finish. Although the machine learning models are trained specifically on images taken using our specific microscopy setup, the information and code present in this dataset can be used to easily set up a corresponding image analysis pipeline for a new laboratory, essentially by training new ilastik models and tweaking the MicrobeJ settings. Additionally, underlying numerical data for all of graphs and summary statistics of the article (Hallgren et al., 2023) have been included in the form of tabular data in a zip archive. Mon, 20 Nov 2023 07:33:09 GMT https://researchdata.se/en/catalogue/dataset/2023-202 https://researchdata.se/en/catalogue/dataset/2023-202 Stockholm University Joel Hallgren An industrial questionnaire survey where a total of 33 practitioners, of varying roles, from 18 companies are tasked to compare two decision models for asset selection. The objective of the study was to evaluate what characteristics of decision models for asset selection that determine industrial practitioner preference of a model when given the choice of a decision-model of high precision or a model with high speed. The dataset was originally published in DiVA and moved to SND in 2024. Wed, 25 Sep 2019 00:00:00 GMT https://researchdata.se/en/catalogue/dataset/2024-273 https://researchdata.se/en/catalogue/dataset/2024-273 Blekinge Institute of Technology Emil Alégroth