https://researchdata.se/en/catalogue Search results en The dataset presented corresponds to a study investigating mixture toxicity between two common aquatic contaminants, microcystin-LR (MCLR) and benzo[a]pyrene (BaP), on the detoxification system of fish. We used the Poeciliopsis lucida hepatocellular carcinoma (PLHC-1) cell line as a model for fish liver cells. Cells were exposed to MCLR (0.01, 1 µM), BaP (0.01, 0.1, 1 µM), or combinations of both chemicals for periods ranging from 1 to 48 hours. We measured the following endpoints: - Cytochrome P450 1A (CYP1A) function and regulation, assessing ethoxy resorufin-O-deethylase (EROD) activity and CYP1A mRNA expression. EROD activity was normalized to the protein. - P-glycoprotein (Pgp) function and expression, using the rhodamine 123 (Rh123) accumulation assay and Pgp mRNA expression. Rh123 accumulation was normalized to the protein. - Cell cytotoxicity, using two fluorescent indicators, 5-Carboxyfluorescein Diacetate-Acetoxymethyl Ester (CFDA-AM) and Alamar Blue (AB). The dataset includes the following information: 1) CYP1A Activity: This section contains raw data used to calculate CYP1A activity, expressed as specific EROD activity. The EROD assay is based on the ability of the CYP1A enzyme to catalyze the O-deethylation of ethoxyresorufin to resorufin, a fluorescent product. Resorufin production was monitored over time and quantified using a resorufin standard curve. Each sample value was normalized to total protein content, which was measured using fluorescamine, and bovine serum albumin (BSA) as the protein standard. The files include: - EROD slopes for each sample - Protein concentration per sample - Specific EROD activity - Standard curves (for BSA and resorufin). Additionally, the dataset includes results from an experiment involving pre-induction of EROD activity using β-naphthoflavone (BNF). Detailed descriptions of measurement conditions and calculation methods are provided in the accompanying README file (EROD_readme). 2) Rhodamine 123 Accumulation: This section includes raw data for calculating rhodamine 123 (Rh123) accumulation in cells, expressed as fluorescent units (FU) per mg of protein. The Rh123 accumulation assay measures the ability of the P-glycoprotein (Pgp) transporter to efflux this fluorescent compound from cells. When chemicals interfere with Pgp transport function, Rh123 accumulates within the cells. The files include: - Rh123 fluorescence values (FU) per sample - Protein concentration per sample - BSA standard curves for protein quantification Detailed descriptions of the measurement conditions and calculations are provided in the accompanying README file (Rh123_readme). 3) Cytotoxicity: Cytotoxicity was assessed by measuring mitochondrial activity and cell membrane integrity using two fluorescent indicators, Alamar Blue (AB) for mitochondrial activity and CFDA-AM for membrane integrity. This section includes raw fluorescence data (in fluorescent units, FU), which were used to express cytotoxicity as a percentage of FU relative to the control treatment. Detailed descriptions of measurement conditions and calculations are provided in the README file (cytotox_readme). 4) qPCR Data: This section contains raw cycle threshold (Ct) values from real-time polymerase chain reaction (qPCR) used to estimate the mRNA levels of target genes (CYP1A and Pgp). The data is normalized to a reference housekeeping gene, 18S, and presented as fold increase relative to the control treatment. Detailed descriptions of measurement conditions and normalization calculations are provided in the README file (qPCR_readme). Fri, 31 Jan 2025 10:05:32 GMT https://researchdata.se/en/catalogue/dataset/2024-450 https://researchdata.se/en/catalogue/dataset/2024-450 University of Gothenburg Flavia Bieczynski Malin Celander Maja Edenius Annika Lindkvist Julio C. Painefilú Andrés Venturino Carlos M. Luquet We conducted five field experiments in two cropping seasons, where we tested pyrethroid insecticide application in autumn targeting Ceutorhynchus sulcicollis, in spring targeting C. pallidactylus, as well as combined applications in autumn and spring targeting both species. We evaluated stem injury, emergence of the new generation of weevils and crop yield and oil content. The dataset contains stem weevil injury (184 rows), pod injury (92 rows), weevil emergence (92 rows) and yield data (72 data rows). The Swedish Board of Agriculture (Jordbruksverket) has monitored insects in the field locations and contributed to data collection concerning the insects and their injuries to the crop. The Rural Economy and Agricultural Societies (Hushållningssällskapet) has managed and harvested the experiements, and provided yield data. More information about the data can be found in the readme.txt. file. Mon, 12 May 2025 07:21:47 GMT https://researchdata.se/en/catalogue/dataset/2025-107 https://researchdata.se/en/catalogue/dataset/2025-107 Swedish University of Agricultural Sciences Ola Lundin The paper "Blue Food policy objectives: an analysis of opportunities and trade-offs" integrates the findings of an initiative to assess the multiple roles of blue foods in food systems worldwide (https://www.bluefood.earth/) and translates them into four policy objectives aimed at realizing the contributions of aquatic foods to more nutritious, just, resilient and environmentally sustainable food systems. This dataset contains the variables used to assess conditions (at the level of nations) when blue food policy objectives are likely to be relevant. The R code used for Boolean analysis is available here: https://github.com/emmywas/BFA_Policy_analysis The paper "Blue Food policy objectives: an analysis of opportunities and trade-offs" is part of the Blue Food Assessment ( https://www.bluefood.earth/ ) a comprehensive examination of the role of aquatic foods in building healthy, sustainable, and equitable food systems. The assessment was supported by the Builders Initiative, the MAVA Foundation, the Oak Foundation, and the Walton Family Foundation. BC also thanks the Erling Persson Family Foundation. Fri, 01 Jan 2021 00:00:00 GMT https://researchdata.se/en/catalogue/dataset/doi-10-7910-dvn-ila0xi https://researchdata.se/en/catalogue/dataset/doi-10-7910-dvn-ila0xi Stockholm University Crona, Beatrice Jonell, Malin Koehn, Zachary Short, Rebecca Tigchelaar, Michelle Daw, Tim Wassénius, Emmy Golden, Christopher D. Gephart, Jessica A. Allison, Edward H. Bush, Simon R. Cao, Ling Cheung, William W.L. DeClerk, Fabrice Fanzo, Jessica Gelcich, Stefan Kishore, Avinash Halpern, Benjamin S. Hicks, Christina C. Leape, James P. Little, David C. Micheli, Fiorenza Naylor, Rosamond L. Phillips, Michael Selig, Elizabeth R. Springmann, Marco Sumaila, Rashid U. Troell, Max Thilsted, Shakuntala H. Wabnitz, Colette 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 2024. The survey was anonymous and contained 32 multiple choice questions. The survey was launched in a mail-out to the Ocean Data Factory Sweden email contact list (which contained a link to the survey), which was then re-shared by recipients to their own contact networks. The survey was open - anyone with the link could respond. The survey included both questions about the respondent's individual relation with ocean data (eg "Approximately how many years of experience with ocean data do you have?") and about the respondent's organization (eg. "What is the main type of ocean data your organisation collects?"), but because the survey was anonymous there was no way to limit responses to one-response-per-organization. The responses are subjective self-assessments, not necessarily corresponding with the official view of the organizations these individuals work at. Twenty-five individuals responded, a few choosing not to respond all questions. Thu, 29 Feb 2024 12:37:31 GMT https://researchdata.se/en/catalogue/dataset/2024-46 https://researchdata.se/en/catalogue/dataset/2024-46 University of Gothenburg Jurie Germishuys David Rayner Torsten Linders Robin Teigland This dataset was used for the paper "Simulated riparian forest gaps and increased sediment loads modify stream metabolic patterns and biofilm composition". Raw data includes mesocosm stream channel oxygen data, temperature data, and flourometric chl a data. This manuscript is part of a larger project which aims at evaluating how current forest management practices effect ecological functions of headwaters. This specific dataset was collected to answer how fine sediments and light conditions affect algal biofilms in small, boreal waters. Mon, 02 Oct 2023 09:46:56 GMT https://researchdata.se/en/catalogue/dataset/2023-75-1 https://researchdata.se/en/catalogue/dataset/2023-75-1 Swedish University of Agricultural Sciences Maria Myrstener This dataset is connected to a study investigating how blue light exposure affects emotions, psychic health, and behaviours. The data material in this publication is a simulation of a forthcoming dataset. The forthcoming dataset will consist of three different data sources: self-reports and aggregated behavioral data from a survey, electrocardiograms, and behavioral data from an N-back task. A detailed description of the data collection and dataset can be found in the attached file "Data_collection_protocol.pdf". The codebook for the self-report measures consists of 286 rows, of which 14 are question texts and therefore not variables. The total number of variables is thus 272, which is the same as in the simulated dataset. Mon, 02 Mar 2026 10:26:51 GMT https://researchdata.se/en/catalogue/dataset/2025-124 https://researchdata.se/en/catalogue/dataset/2025-124 Karolinska Institutet Danielle Berglund Gergö Hadlaczky Jesper Alvarsson-Hjort To enable regional statistical analyses, the Swedish Social Science Data Service (SSD) carried out a radical reorganization of the source material from the Popular Movement Archive 1881–1950 (https://doi.org/10.5878/002531) in the early 1990s. The original hierarchically structured county files were remade into a series of rectangular files in accordance with a division of the country which mainly coincides with the pre-1952 municipal division of towns and country municipalities. To achieve comparability with other data materials, the division used by Sten Berglund in Swedish electoral data 1911-1944 (https://doi.org/10.5878/000873) was chosen. The Popular Movement Archive includes information on four denominations, six temperance movements, 59 trade unions and one political party, a total of 70 popular movements. For each of these, a special rectangular file has been created, covering the entire country, and comprising 2,576 units, the same number as in Swedish electoral data 1911-1944. For further information see the document: SSD:s omorganisation av Folkrörelsearkivet 1881-1950 Fri, 01 Jan 1993 00:00:00 GMT https://researchdata.se/en/catalogue/dataset/snd0209-66 https://researchdata.se/en/catalogue/dataset/snd0209-66 Uppsala University Sven Lundkvist Carl-Göran Andrae FTIR analysis of samples from a palaeolithic sandstone object from Mühlheim-Dietesheim, Germany. The upload includes raw data, images of analysis points and a report describing the samples, analysis points, method, instrumentation and interpretation. Related to project RAÄ-2024-0156. Thu, 12 Sep 2024 00:00:00 GMT https://researchdata.se/en/catalogue/dataset/doi-10-5281-zenodo-13752773 https://researchdata.se/en/catalogue/dataset/doi-10-5281-zenodo-13752773 Swedish National Heritage Board Canosa, Elyse Wisher, Izzy Inventory (data set) of Marine Citizen Science Intiatives collected and described in the publication entitled "Past and present marine citizen science around the globe: a cumulative inventory of initiatives and data produced". AMBIO (Vol. 54, Issue 6, pp. 994–1009). https://doi.org/10.1007/s13280-024-02119-z The metadata at SND/DORIS includes geographical coverage, but mostly only to the level of country/territory. Wed, 15 Oct 2025 09:03:15 GMT https://researchdata.se/en/catalogue/dataset/2025-271 https://researchdata.se/en/catalogue/dataset/2025-271 IHE Delft Institute for Water Education Uta Wehn Ane Bilbao Luke Somerwill Torsten Linders Joan Maso Stephen Parkinson Christina Semasingha Sasha Woods The source material from the Popular Movement Archive 1881–1950 has been organized in accordance with a division of the country which mainly coincides with the municipal division before 1952 with towns and rural municipalities. This aggregation means that the number of members no longer applies to an individual association, but to a group of associations that have in common that they belong to one and the same popular movement and exist within one and the same geographical area, i.e., one of the 2,576 units in the material. In addition, estimates of the number of members have been made for the years where information is missing. Fri, 01 Jan 1993 00:00:00 GMT https://researchdata.se/en/catalogue/dataset/snd0209-59 https://researchdata.se/en/catalogue/dataset/snd0209-59 Uppsala University Sven Lundkvist Carl-Göran Andrae