https://researchdata.se/en/catalogue Search results en The aim of the data collection was to examine differences in biodiversity between two different age classes of production forest stands. Surveys were conducted between 2016-2017 in forty managed production forest stands in southern Sweden. Stands are dominated by two different tree species: Scots pine and Norway spruce and belong to two different age classes: 55 (+/- 5) and 80 (+/- 5) year old. In total ten stands of each category (tree species and age class) were surveyed. There are four separate data sets for species: birds, bryophytes, epiphytic lichens and vascular plants. Species data consists of presence/absence data for the different stands. There is also one data set with stand structures. The five different data sets can be connected using a stand ID that can be found in all of the files. Data consists of information about 26 bird species, 84 bryophyte species, 57 lichen species and 102 vascular plant species. Files consist of 5 separate matrices with 40 rows that are stored in .csv format (comma delimited). Data set 'bird.csv' has 40 rows and 29 columns. Data set 'bryophyte.csv' has 40 rows and 87 columns. Data set 'epilichen.csv' has 40 rows and 60 columns. Data set 'vascularpl.csv' has 40 rows and 105 columns. Data set 'stand_structures.csv' has 40 rows and 7 columns. All data sets have a column "stand", which consist of stand IDs which can be used to connect the different data sets with each other. Information about tree species and stand age class is also provided in the data. For bird species common English names are used. Scientific names are used for vascular plants (Dyntaxa 2019), bryophytes (Hallingbäck 2006) och lichens (Santesson's Checklist of Fennoscandian Lichen-forming and Lichenicolous Fungi 2020). Data was collected during summer of 2016 (birds, bryophytes, vascular plants and forest structure data) and during summer of 2017 (lichen data and forest structure data). Data consist of information from fourty stands. In each stand, 10 plots of 100m2 were used for inventoring bryophytes and vascular plants and 10 trees were surveyed for epiphytic lichens (including branches, up to two metres). Birds were surveyed in four plots per stand within a radius of 40 meters. In the data sets, absence-presence data for the whole stand is shown (i.e. when pooling all plots/trees together). Forest structures were measured within a radius of 10-15 meters in 10 plots per stand, except for dead wood, which was measured in 100 m2 plots. The data set 'stand_structures' shows hectare values based on the average from the plots. Column name explaination: 'stand' = stand-ID, 'tree' = tree species, 'age' = stand age, 'basal_area' = basal area, 'stem_density' = stem densities (stems > 4 cm diameter) and 'wood' = dead wood in m3 (snags, lying wood). The column 'canopy_cover' shows the average canopy cover calculated from 10 hemispherical photos per stand. Stands were selected based on site index (SI 24-29 for Norway spruce) from forest owner management plans. Only stands on till soil with rhyolite or granite bedrock were selected for the study. For details about study design, species inventories and stand selection see following publications: *Birds* Lindbladh M, Petersson L, Hedwall P-O, Trubins R, Holmström E, Felton A. Consequences for bird diversity from a decrease in a foundation species—replacing Scots pine stands with Norway spruce in southern Sweden. Regional Environmental Change. 2019;19(5):1429-40. doi: 10.1007/s10113-019-01480-0. *Bryophytes* Petersson L, Nilsson S, Holmström E, Lindbladh M, Felton A. Forest floor bryophyte and lichen diversity in Scots pine and Norway spruce production forests. Forest Ecology and Management. 2021;493:119210. doi: 10.1016/j.foreco.2021.119210. PubMed PMID: WOS:000651205800009. *Epiphytic lichens* Petersson L, Lariviere D, Holmström E, Fritz Ö, Felton A. Conifer tree species and age as drivers of epiphytic lichen communities in northern European production forests. The Lichenologist. 2022;54(3-4):213-25. Epub 2022/07/29. doi: 10.1017/S0024282922000172. *Vascular plants* Petersson L, Holmström E, Lindbladh M, Felton A. Tree species impact on understory vegetation: Vascular plant communities of Scots pine and Norway spruce managed stands in northern Europe. Forest Ecology and Management. 2019;448:330-45. Wed, 08 Mar 2023 15:18:15 GMT https://researchdata.se/en/catalogue/dataset/2023-18-1 https://researchdata.se/en/catalogue/dataset/2023-18-1 Swedish University of Agricultural Sciences Lisa Petersson Delphine Lariviere Emma Holmström Matts Lindbladh Adam Felton The dataset contains time-series of signal propagation delay due to water vapour, liquid water path, and multi-dimensional time-series of atmospheric brightness temperature and transmission, in the frequency range 14 – 40 GHz, at the Onalsa Space Observatory. The simulations are carried out with or without liquid cloud water in the atmosphere. The normalized power-pattern of the antenna is also provided. We have used atmospheric data from ECMWF and processed them with the open software package ARTS. Details are described in the published paper: Forkman, P, Flygare, J and Elgered, G (2021). Water Vapour Radiometry in Geodetic Very Long Baseline Interferometry Telescopes: Assessed Through Simulations, Journal of Geodesy. The uploaded readme.txt file gives all the necessary information. The three data files are saved in the NetCDF format (*.nc) Mon, 04 Oct 2021 07:27:39 GMT https://researchdata.se/en/catalogue/dataset/2021-243-1 https://researchdata.se/en/catalogue/dataset/2021-243-1 Chalmers University of Technology Peter Forkman Jonas Flygare Gunnar Elgered The main results file are saved separately: - ASSR2.html: R output of the main analyses (N = 33) - ASSR2_subset.html: R output of the main analyses for the smaller sample (N = 25) FIGSHARE METADATA Categories - Biological psychology - Neuroscience and physiological psychology - Sensory processes, perception, and performance Keywords - crossmodal attention - electroencephalography (EEG) - early-filter theory - task difficulty - envelope following response References - https://doi.org/10.17605/OSF.IO/6FHR8 - https://github.com/stamnosslin/mn - https://doi.org/10.17045/sthlmuni.4981154.v3 - https://biosemi.com/ - https://www.python.org/ - https://mne.tools/stable/index.html#- https://www.r-project.org/- https://rstudio.com/products/rstudio/ GENERAL INFORMATION 1. Title of Dataset: Open data: Visual load effects on the auditory steady-state responses to 20-, 40-, and 80-Hz amplitude-modulated tones 2. Author Information A. Principal Investigator Contact Information Name: Stefan Wiens Institution: Department of Psychology, Stockholm University, Sweden Internet: https://www.su.se/profiles/swiens-1.184142 Email: sws@psychology.su.se B. Associate or Co-investigator Contact Information Name: Malina Szychowska Institution: Department of Psychology, Stockholm University, Sweden Internet: https://www.researchgate.net/profile/Malina_Szychowska Email: malina.szychowska@psychology.su.se 3. Date of data collection: Subjects (N = 33) were tested between 2019-11-15 and 2020-03-12. 4. Geographic location of data collection: Department of Psychology, Stockholm, Sweden 5. Information about funding sources that supported the collection of the data: Swedish Research Council (Vetenskapsrådet) 2015-01181 SHARING/ACCESS INFORMATION 1. Licenses/restrictions placed on the data: CC BY 4.0 2. Links to publications that cite or use the data: Szychowska M., & Wiens S. (2020). Visual load effects on the auditory steady-state responses to 20-, 40-, and 80-Hz amplitude-modulated tones. Submitted manuscript. The study was preregistered: https://doi.org/10.17605/OSF.IO/6FHR8 3. Links to other publicly accessible locations of the data: N/A 4. Links/relationships to ancillary data sets: N/A 5. Was data derived from another source? No 6. Recommended citation for this dataset: Wiens, S., & Szychowska M. (2020). Open data: Visual load effects on the auditory steady-state responses to 20-, 40-, and 80-Hz amplitude-modulated tones. Stockholm: Stockholm University. https://doi.org/10.17045/sthlmuni.12582002 DATA & FILE OVERVIEW File List: The files contain the raw data, scripts, and results of main and supplementary analyses of an electroencephalography (EEG) study. Links to the hardware and software are provided under methodological information. ASSR2_experiment_scripts.zip: contains the Python files to run the experiment. ASSR2_rawdata.zip: contains raw datafiles for each subject - data_EEG: EEG data in bdf format (generated by Biosemi) - data_log: logfiles of the EEG session (generated by Python) ASSR2_EEG_scripts.zip: Python-MNE scripts to process the EEG data ASSR2_EEG_preprocessed_data.zip: EEG data in fif format after preprocessing with Python-MNE scripts ASSR2_R_scripts.zip: R scripts to analyze the data together with the main datafiles. The main files in the folder are: - ASSR2.html: R output of the main analyses - ASSR2_subset.html: R output of the main analyses but after excluding eight subjects who were recorded as pilots before preregistering the study ASSR2_results.zip: contains all figures and tables that are created by Python-MNE and R. METHODOLOGICAL INFORMATION 1. Description of methods used for collection/generation of data: The auditory stimuli were amplitude-modulated tones with a carrier frequency (fc) of 500 Hz and modulation frequencies (fm) of 20.48 Hz, 40.96 Hz, or 81.92 Hz. The experiment was programmed in python: https://www.python.org/ and used extra functions from here: https://github.com/stamnosslin/mn The EEG data were recorded with an Active Two BioSemi system (BioSemi, Amsterdam, Netherlands; www.biosemi.com) and saved in .bdf format. For more information, see linked publication. 2. Methods for processing the data: We conducted frequency analyses and computed event-related potentials. See linked publication 3. Instrument- or software-specific information needed to interpret the data: MNE-Python (Gramfort A., et al., 2013): https://mne.tools/stable/index.html# Rstudio used with R (R Core Team, 2020): https://rstudio.com/products/rstudio/ Wiens, S. (2017). Aladins Bayes Factor in R (Version 3). https://www.doi.org/10.17045/sthlmuni.4981154.v3 4. Standards and calibration information, if appropriate: For information, see linked publication. 5. Environmental/experimental conditions: For information, see linked publication. 6. Describe any quality-assurance procedures performed on the data: For information, see linked publication. 7. People involved with sample collection, processing, analysis and/or submission: - Data collection: Malina Szychowska with assistance from Jenny Arctaedius. - Data processing, analysis, and submission: Malina Szychowska and Stefan Wiens DATA-SPECIFIC INFORMATION: All relevant information can be found in the MNE-Python and R scripts (in EEG_scripts and analysis_scripts folders) that process the raw data. For example, we added notes to explain what different variables mean. Mon, 29 Jun 2020 00:00:00 GMT https://researchdata.se/en/catalogue/dataset/doi-10-17045-sthlmuni-12582002 https://researchdata.se/en/catalogue/dataset/doi-10-17045-sthlmuni-12582002 Stockholm University Stefan Wiens Malina Szychowska Open data: Visual load does not decrease the auditory steady state response to 40-Hz amplitude-modulated tones The main results files are saved separately: - ASSR_study1.html: R output of the main analyses- ASSR_study1_subset_subjects.html: R output of the main analyses- ASSR_study2.html: R output of the main analyses The studies were preregistered:Study 1: https://doi.org/10.17605/OSF.IO/UYJVAStudy 2: https://doi.org/10.17605/OSF.IO/JVMFD DATA & FILE OVERVIEW File List:The files contain the raw data, scripts, and results of main and supplementary analyses of two electroencephalography (EEG) studies (Study1, Study2). Links to the hardware and software are provided under methodological information. ASSR_study1_experiment_scripts.zip: contains the Python files to run the experiment. ASSR_study1_rawdata.zip: contains raw datafiles for each subject - data_EEG: EEG data in bdf format (generated by Biosemi)- data_log: logfiles of the EEG session (generated by Python)- data_WMC: logfiles of the working memory capacity task (generated by Python) ASSR_study1_EEG_scripts.zip: Python-MNE scripts to process the EEG data ASSR_study1_EEG_preprocessed.zip: Preprocessed EEG data from Python-MNE ASSR_study1_analysis_scripts.zip: R scripts to analyze the data together with the main datafiles. The main files in the folder are: - ASSR_study1.html: R output of the main analyses- ASSR_study1_subset_subjects.html: R output of the main analyses but after excluding five subjects who were excluded because of stricter, preregistered artifact rejection criteria ASSR_study1_figures.zip: contains all figures and tables that are created by Python-MNE and R. ASSR_study2_experiment_scripts.zip: contains the Python files to run the experiment ASSR_study2_rawdata.zip: contains raw datafiles for each subject - data_EEG: EEG data in bdf format (generated by Biosemi)- data_log: logfiles of the EEG session (generated by Python)- data_WMC: logfiles of the working memory capacity task (generated by Python) ASSR_study2_EEG_scripts.zip: Python-MNE scripts to process the EEG data ASSR_study2_EEG_preprocessed.zip: Preprocessed EEG data from Python-MNE ASSR_study2_analysis_scripts.zip: R scripts to analyze the data together with the main datafiles. The main files in the folder are: - ASSR_study2.html: R output of the main analyses- ASSR_compare_performance_between_studies.html: R output of analyses that compare behavioral performance between study 1 and study 2. ASSR_study2_figures.zip: contains all figures and tables that are created by Python-MNE and R. Instrument- or software-specific information needed to interpret the data:MNE-Python (Gramfort A., et al., 2013): https://mne.tools/stable/index.html#Rstudio used with R (R Core Team, 2016): https://rstudio.com/products/rstudio/Wiens, S. (2017). Aladins Bayes Factor in R (Version 3). https://www.doi.org/10.17045/sthlmuni.4981154.v3 Sat, 10 Nov 2018 00:00:00 GMT https://researchdata.se/en/catalogue/dataset/doi-10-17045-sthlmuni-7324898 https://researchdata.se/en/catalogue/dataset/doi-10-17045-sthlmuni-7324898 Stockholm University Stefan Wiens Malina Szychowska Starting in 1963 and with 10-year intervals, five population samples of men aged 50 and living in the city of Gothenborg, Sweden, were examined with respect to cardiovascular risk factors. In 1963, 973 men were invited. 855 of these took part in the study (88%). Clinical examinations were conducted at baseline and thereafter at 54 (1967), 60 (1973), 67 (1980), 75 (1988) and 80 years of age (1993). At every examination a number of questionnaires were filled in. For the 1973 study, 10% of all men born in 1923 were invited, providing a sample of 292, of which 226 (77%) participated. For the 1983 and 1993 studies, a random sample of half of all men in the city born in 1933 and 1943 were invited; 776 (76%) and 798 (55%), respectively, participated. In 2003 random third of all men (n =993) and women (n = 994) born in 1953 were invited. Participation rate was 60% among the men and 67% among the women. The study of men born in 1913 and their successors, men born in 1923, 1933, 1943 and 1953 provide opportunities to explore how living conditions have changed over four decades and what health effects these changes have had. From the start of the 60th century, the data have given opportunities to explore trends, as well as in cross-section as longitudinally. The studies have generated 12 thesis and more than 400 scientific papers. Purpose: To investigate coronary risk factors and the development of coronary disease in a group of Swedish urban men in the same age: 50 years. To the sampling in 2003 also women were invited. Sat, 01 Jan 2011 00:00:00 GMT https://researchdata.se/en/catalogue/dataset/snd0010-1 https://researchdata.se/en/catalogue/dataset/snd0010-1 University of Gothenburg Annika Rosengren Per-Olof Hansson Gösta Tibblin Lars Wilhelmsen Henry Eriksson Kurt Svärdsudd Catarina Welin Lennart Welin Lund 80 + cohort is a longitudinal population based cohort with sequential design that started in 1988. All residents of Lund, born in 1908 and then 80 years, were invited for a first examination. The baseline population consisted of 315 individuals, of whom 212 agreed to be examined (146 females and 66 males). In the en, 165 participants (113 women and 52 men) were analyzed, after exclusion of 47 individuals due to imparied cognition, denied participation and incomplete data. Each survey, which included a general medical examination and psychological tests, took about 3 to 4 hours and was done by a doctor and a psychologist. The subjects were asked to answer questions if they felt depressed, how satisfied they were with life, trouble sleeping, irritability, nervousness, problems of the stomach and headache among other things. Additional information such as education and family relationships were collected by a nurse. Five years later, in 1993, the same individuals were invited for re-examination number 1. At the same time also individuals born in 1913, and then 80 years of age 1993, were invited for a first examination. This procedure has since then continued every five years, ie 1998 there were three Groups: re-examination nr 2 for individuals born in 1908, re-examination number 1 for individuals born in 1913 and the first examination for individuals born in 1918. Purpose: To investigate the health in the older population and explore whether helping them cope with problems can make them feel better. Every five year, participants are invited to a follow up and new individuals (aged 80 years) are invited to participate in the study. Fri, 29 Aug 2014 08:48:28 GMT https://researchdata.se/en/catalogue/dataset/ext0120-1 https://researchdata.se/en/catalogue/dataset/ext0120-1 Lund University Torbjörn Svensson Björn Slaug The relatively high incidence of cervical cancer in women at older ages is an issue in countries performing cervical screening for decades. Controversy remains on when and how to cease screening. Existing population-based studies on effectiveness of cervical screening at older ages have not considered women’s screening history. We performed a nationwide cohort study to investigate the incidence of cervical cancer after age 60 and its association with cervical screening at ages 61-65, stratified by screening history at ages 51-60. Using the Total Population Register, we identified women born between January 1919 and December 1945, resident in Sweden since age 51. According to the year that each county started the electronic record of cervical screening and women’s resident county, we further identified 569,132 women that have cervical screening record available since age 51. Women’s screening records, cervical cancer occurrence, and level of education were retrieved from the Swedish National Cervical Screening Registry, the National Cancer Register, and LISA (Longitudinal integration database for health insurance and labour market studies) respectively. We presented the cumulative incidence of cervical cancer from age 61-80 by using competing risk regression models, and compared the hazard ratio of cervical cancer by screening status at ages 61-65 from Cox models, adjusted for birth cohort and level of education, conditioning on screening history in their 50s. We find that Cervical screening at ages 61-65 is associated with a statistically significant reduction of subsequent cervical cancer risk for women unscreened, or screened with abnormalities, in their 50s. In women screened negative in their 50s, the risk for future cancer is not sizeable, and the risk reduction associated with continued screening appears limited. These findings should inform the current debate regarding age and criteria to discontinue cervical screening. Purpose: In order to provide evidence for age and criteria to discontinue cervical screening, we use this data to investigate the impact of cervical screening at ages 61-65 on cervical cancer incidence and stage at ages 61-80, stratifying by screening history at ages 51-60. This data comprises women born between January 1919 and December 1945, resident in Sweden since age 51, and having cervical screening record available since age 51. It contains the following variables: - Seq_nr: sequence number indicating each individual woman, from 1 to 569,132. - Edu_cat: level of education in three categories: 1=low (less than high school); 2=high school; 3=university exam and above; .=missing. Data are retrieved from LISA (Longitudinal integration database for health insurance and labour market studies). - Birth_cat: five categories of birth-year: 1=1919-1925; 2=1926-1930; 3=1931-1935; 4=1936-1940; 5=1941-1945. - Scr_51_60: Screening history at ages 51-60, in five categories: 1=adequately screened, negative; 2=inadequately screened, negative; 3=unscreened; 4=having low-grade abnormality; 5=having high-grade abnormality. Data are retrieved from the Swedish National Cervical Screening Registry. - Age_first_scr_6165: age at having the first screening test at ages 61-65. (Missing value indicates there is no screening test at ages 61-65). Data are retrieved from the Swedish National Cervical Screening Registry. - Orgscr_county: If in the county that had more than 40% women being screened at ages 61-65: 0=no; 1=yes. - Age_entry: age when entering the cohort, which is 61 for all women. - Age_exit: age when the follow-up is finished. - Cx_fail: the event of finishing follow-up: 1=having cervical cancer; 2=competing events (death or having total hysterectomy); 3=censoring (emigration, turning age 81, or 2011-12-31). The information is retrieved from the Swedish National Cancer Registry (cervical cancer), Cause of Death Register (death), Patient Register (hysterectomy), and Migration Register (emigration). The dataset also includes three variables created by Swedish National Dataservice (SND-study, SND-dataset, SND-version). Mon, 28 Aug 2017 00:00:00 GMT https://researchdata.se/en/catalogue/dataset/snd1028-1 https://researchdata.se/en/catalogue/dataset/snd1028-1 Karolinska Institutet Pär Sparén The cohort of 60-year old men and women consists of every third man and woman residing in Stockholm county, who during one year (1997 01 07 - 1998 0630) reached the age of 60, and who subsequently was invited to a careful health control, including blood sampling, and completion of a questionnaire, etc (response rate 78 %). Blood samples and DNA were stored in -80 ?C freezers (4 freezers) both at Karolinska Hospital and the Karolinska Institutet. DNA has been extracted on all subjects and 4232 individuals participated at the health check-up. The predictive role of different risk exposures/biomarkers for cardiovascular diseases (CVD) is assessed through annual matching against available national registers. So far 408 incident CVD cases have been registered (up to 2010, on average 12 years of follow up). About 35 international original articles have been generated from the database. Analyses of baseline data indicate that a variety of metabolic disturbances go unrecognized in this age group, many of which are attributed to low levels of physical exercise and bad life-style habits. Through analyses of incident CVD events using nested case-control designs two novel biomarkers have been identified; 1) Anti-PC (phosphorylcholine) a natural IgM antibody of which low levels reflect disturbed immunological defense mechanisms of the vascular wall and 2) CD 93 of which low levels are related to an increased risk for CVD. Novel potential pathways for CVD are currently investigated through determinations of miRNAs in a nested sample of incident myocardial infarctions and controls through collaboration with the University of Milan, Italy. The running of genome-wide analyses (GWAs) is planned. In addition, particular emphasis will be put on evaluating novel inflammatory biomarkers (immunological antibodies like Ox Cardiolipin, PCSK9 etc.) by multiplex techniques such as the Meso Scale platform. Purpose: To assess the predictive role of different risk exposures/biomarkers for cardiovascular diseases (CVD). Sun, 01 Jan 2012 00:00:00 GMT https://researchdata.se/en/catalogue/dataset/ext0038-1 https://researchdata.se/en/catalogue/dataset/ext0038-1 Karolinska Institutet Ulf de Faire We study photoionization time delays in Xe in the 70-100 eV range by combining attosecond interferometry with coincidence spectroscopy. Supported by calculations using the relativistic random phase approximation, we identify two interfering ionization processes: the giant dipole resonance due to collective effects in 4d to continuum f excitation with a fast decay time of a few tens of attoseconds and a narrow resonance at threshold induced by spin-flip transitions, with much longer decay time of several hundreds attoseconds. Our results provide new insight into the complex electron-spin dynamics of photo-induced phenomena. The dataset includes the recorded electron time of flight (seqxx.csv) and electron kinetic energy (seqxxe.csv) for each laser shot. Scan01, 03, 04, 06, 07 is RABBIT scan in Xenon and Scan 02, 05 is RABBIT scan in Neon. Wed, 07 Oct 2020 09:02:56 GMT https://researchdata.se/en/catalogue/dataset/2020-64-1 https://researchdata.se/en/catalogue/dataset/2020-64-1 Lund University Shiyang Zhong The information in the abstract is translated from the archaeological report: At the field evaluation of RAÄ 9 traces of settlement were found at two locations. The southern area contained several features. The macro fossil analysis indicated that these were from the Neolithic and Iron Age, which was also supported by a radiocarbon dating to the Late Neolithic and the Roman Iron Age. The northern area did however appear to be of a late/modern character. The field evaluation of RAÄ 49 found coherent settlement traces at two sites. One site consisted of a limited cultural layer and a few features in form of hearths. This settlement has been 14C-dated to the Pre-Roman Iron Age. The settlement's extent in the investigation area is severely limited, and it can be assumed that it continues to the east, outside the investigation area. The second site consisted of featues in form of hearths and post holes. Remains of a presumed three-aisled building from the Late Vendel - early Viking period were found. Radiocarbon dating shows that settlement activities occurred at the site at different periods: Late Mesolithic, Middle Neolithic, Late Neolithic, Roman Iron Age and the early Vendel Period - late Viking period. Purpose: The information in the purpose is translated from the archaeological report: The National Road 32 between Mjölby and Motala is to be widened and to get a partially new route and a new name (National Road 50). At Lövingsborg, within the property Sunnanå 2:6, just south of Skänninge town, the widening will run over the archaeological sites RAÄ 9 and RAÄ 49 in Skänninge parish. For this reason Arkeologikonsult undertook two archaeological field evaluations of the respective site according to the County Administrative Board of Östergötland´s decision during spring 2009. The ZIP file consist of GIS files and an Access database with information about the excavations, findings and other metadata about the archaeological survey. Wed, 02 Apr 2014 00:00:00 GMT https://researchdata.se/en/catalogue/dataset/snd2010-1 https://researchdata.se/en/catalogue/dataset/snd2010-1 Arkeologikonsult