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publicJul 2025View details →

Population-based computational simulations elucidate mechanisms of focal arrhythmia following stem cell injection

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publicMar 2025View details →

k-mer-based diversity scales with population size proxies more than nucleotide diversity in a meta-analysis of 98 plant species

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publicOct 2024View details →

An individual-based model trained on multiple data sources estimates population connectivity and facilitates aggregation of harvest management units

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publicAug 2024View details →

Data from: Evaluating the effects of wolf culling on livestock predation when considering wolf population dynamics in an individual-based model

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publicSep 2024View details →

Nationwide real-world implementation of AI for cancer detection in population-based mammography screening (PRAIM)

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opencc-zeroNov 2020View details →

Risk factors for non-communicable diseases in Bangladesh: Findings of the population-based cross-sectional national survey 2018

Objectives: To determine the national prevalence of risk factors of non-communicable diseases (NCD) in the adult population of Bangladesh. Design: The study was a population-based national cross-sectional study. Setting: This study used 496 primary sampling units (PSUs) developed by the Bangladesh Bureau of Statistics. The PSUs were equally allocated to each division and urban and rural stratum within each division. Participants: The participants were adults aged 18-69 years, who were usual residents of the households for at least six months, and stayed the night before the survey. Out of 9900 participants, 8185 (82.7%) completed STEP-1 and STEP-2, and 7208 took part in STEP-3. Primary and secondary outcome: The prevalence of behavioral, physical, and biochemical risk factors of NCD. Data were weighted to generate national estimates. Results: Tobacco use was significantly (p<0.05) higher in the rural (45.2%) than the urban (38.8%) population. Inadequate fruit/vegetable intake was significantly (P<0.05) higher in the urban (92.1%) than in the rural (88.9%) population. The mean salt intake per day was higher in the rural (9.0 gm) than urban (8.9 gm) population. Among all, 3.0% had no, 70.9% had 1-2, and 26.2% had ≥3 NCD risk factors. The urban population was more likely to have insufficient physical activity (AOR: 1.2, 95% CI: 1.2–1.2), obesity (AOR: 1.5, 95% CI: 1.5–1.5), hypertension (AOR: 1.3, 95% CI: 1.3–1.3), diabetes (AOR: 1.6, 95% CI: 1.6–1.6), and hyperglycemia (AOR: 1.1, 95% CI: 1.1–1.1). Conclusions: Considering the high prevalence of the behavioral, physical, and biochemical risk factors, diverse population and high-risk group targeted interventions are essential to combat the rising burden of NCDs.

opencc-zeroNov 2020View details →

Population genetic structure and classification of cultivated and wild pea (Pisum sp.) based on morphological traits and SSR markers

Pea (Pisum sativum L.) is an important legume crop that is widely grown worldwide for human consumption and livestock feed. Despite extensive studies, the population genetic structure and classification of cultivated and wild pea (Pisum sp.) are remaining controversial. To characterize patterns of genetic and morphological variation and investigate the classification of Pisum, we conducted comprehensive population genetic analyses for 323 accessions from cultivated and wild pea representing three species of Pisum utilizing 34 morphological traits and 87 polymorphic SSR markers. First, we identified three distinct genetic groups among all samples. Group I was primarily composed of Pisum fulvum, Pisum abyssinicum and some wild P. sativum accessions, whereas groups II and III consisted of the two genetic groups under P. sativum representing different geographic distributions of cultivated pea. Analyses of morphological variation revealed significant differences among the three species. Second, among pea germplasms representing eight taxa of Pisum, P. fulvum and P. abyssinicum possessed unique genetic backgrounds and morphological characteristics, corroborating their independent species status. The intraspecific subdivisions of P. sativum described by some authors were not supported in this study, with the exception of several genotypes of P. sativum subsp. elatius that were clustered with P. fulvum and P. abyssinicum. Finally, we confirmed that the Chinese pea germplasm was genetically distinct and could be divided into two genetic groups, each of which included both spring-sowing and autumn-sowing ecotypes. These results provide a robust foundation for understanding pea domestication and the utilization of wild genetic resources of pea.

opencc-zeroDec 2020View details →

Populations of arable weed species show intra-specific variability in germination base temperature but not in early growth rate

Key plant traits affecting growth performance can differ among and within species, influencing competitive plant community dynamics. We determined the intra-specific variability of germination base temperature among 13 arable weed species and the seedlings' early post-emergence relative growth rate among 21 species in climate chamber and green house experiments. Intra-specific variability was quantified with two seed populations (originating from contrasting climate in Germany & France) for the germination base temperature of 6 species and for the early growth rate of 16 species. Inter-specific variability for both traits was always higher than intra-specific variability. Within a given species, we found that germination base temperatures were higher in seeds stemming from colder climate populations. Seedling relative growth rates did not differ between seed populations. Models simulating weed growth should reflect these differences in germination traits among populations, especially when they are used for weed community assembly studies in a local to regional extent.

opencc-zeroOct 2023View details →

Data from: Effective population size of Culex quinquefasciatus under insecticide-based vector management and following Hurricane Harvey in Harris County, Texas

<div> Culex quinquefasciatus is mosquito species of significant public health importance due to its ability to transmit multiple pathogens that can cause mosquito-borne diseases, such as West Nile fever and St. Louis encephalitis. In Harris County, Texas, Cx. quinquefasciatus is a common vector species and is subjected to insecticide-based management by the Harris County Public Health Department. However, insecticide resistance in mosquitoes has increased rapidly worldwide and raises concerns about maintaining the effectiveness of vector control approaches. This concern is highly relevant in Texas, with its humid subtropical climate along the Gulf Coast that provides suitable habitat for Cx. quinquefasciatus and other mosquito species that are known disease vectors. Therefore, there is an urgent and ongoing need to monitor the effectiveness of current vector control programs. In this study, we evaluated the impact of vector control approaches by estimating the effective population size of Cx. quinquefasciatus in Harris County. We applied Approximate Bayesian Computation to microsatellite data to estimate effective population size. We collected Cx. quinquefasciatus samples from two mosquito control operation areas, 415 and 802, during routine vector monitoring in 2016 and 2017. No county mosquito control operations were applied at area 415 in 2016 and 2017, whereas extensive adulticide spraying operations were in effect at area 802 during the summer of 2016. We collected data for eighteen microsatellite markers for 713 and 723 mosquitoes at eight timepoints from 2016 to 2017 in areas 415 and 802, respectively. We also investigated the impact of Hurricane Harvey's landfall in the Houston area in August of 2017 on Cx. quinquefasciatus population fluctuation. Although we did not detect significant effects of vector control interventions, we found considerable influences of the winter season and a major hurricane on the effective population size of Cx. quinquefasciatus. The fluctuations in effective population size in both areas showed a significant seasonal pattern. Additionally, the significant population expansion following Hurricane Harvey in 2017 supports the necessity for post-hurricane vector-control interventions.</div>

opencc-zeroNov 2023View details →

Data from: Relict stands of Central European oaks: unravelling autochthony and genetic structure based on a multi-population study

Central European white oaks expanded rapidly after the last glacial period and reached their current distribution range during the early Holocene. They have been an important resource of timber, fuelwood and animal feed for humans, who actively promoted their presence in forests and other landscape types at least since the early historical times. Besides stands with intensive management, putatively relict populations of three native oak species can be found on unproductive sites with restricted accessibility. Here, we apply chloroplast and nuclear microsatellite markers in order to address the autochthony of relict and managed stands and compare the spatial distribution of genetic variation between them. Based on data from more than 150 populations, we demonstrate that oak autochthony was preserved throughout historical times which is likely the result of traditional silvicultural treatment. This is supported by the fact that the spatial pattern of chloroplast haplotype distribution still reflects the post-glacial recolonization in both relict and old managed stands. We observed significant admixture of haplotypes only in stands established after the Second World War, which is attributable to the transfer of reproductive material used for afforestation. In terms of nuclear genetic variation, we observed marked differences among species. Quercus pubescens exhibited a pronounced genetic structure. Genetic drift and limited gene flow among its small and isolated populations in our study area might have contributed to this pattern. Varying extent of genetic introgression with other sympatric oak species could offer an additional explanation. On the contrary, the gene pools of Q. petraea and Q. robur are highly homogenous, displaying only weak isolation-by-distance. We found no significant differences of genetic diversity and differentiation between relict and managed stands. This suggests that seed transfer mostly occurred within our study area, even in those stands established in post-war times, verifying previous findings that point out limited human interference. We recommend consideration of population genetic structure for gene conservation, with a finer resolution of gene conservation units needed for Q. pubescens due to its spatial genetic structure. Both relict and old managed stands, species-pure or mixed, are suitable for conservation, as they host autochthonous gene pools. Coppice-with-standard management could contribute to preservation of autochthony. In the face of climate change, it is also important to maintain the evolutionary potential of the stands, by facilitating generative reproduction and allowing for hybridization in mixed stands.

opencc-by-4.0Nov 2021View details →

Population-based age-stratified seroepidemiological investigation protocol for coronavirus 2019 (COVID-19) infection in the Federation of Bosnia and Herzegovina

Results of population-based age stratified seroepidemiological investigation in the Federation of Bosnia and Herzegovina

opencc-by-4.0Feb 2022View details →

Population-based, Age- and Gender- Stratified Sero-Survey Study for SARS-CoV-2 in Uganda

Results of population-based age stratified seroepidemiological investigation in Uganda

opencc-by-4.0Apr 2021View details →

A 24-hour dynamic population distribution dataset based on mobile phone data from Helsinki Metropolitan Area, Finland

Related article: Bergroth, C., Järv, O., Tenkanen, H., Manninen, M., Toivonen, T., 2022. A 24-hour population distribution dataset based on mobile phone data from Helsinki Metropolitan Area, Finland. <a href="https://www.nature.com/articles/s41597-021-01113-4">Scientific Data 9, 39</a>.   In this dataset: We present temporally dynamic population distribution data from the Helsinki Metropolitan Area, Finland, at the level of 250 m by 250 m statistical grid cells. Three hourly population distribution datasets are provided for regular workdays (Mon – Thu), Saturdays and Sundays. The data are based on aggregated mobile phone data collected by the biggest mobile network operator in Finland. Mobile phone data are assigned to statistical grid cells using an advanced dasymetric interpolation method based on ancillary data about land cover, buildings and a time use survey. The data were validated by comparing population register data from Statistics Finland for night-time hours and a daytime workplace registry. The resulting 24-hour population data can be used to reveal the temporal dynamics of the city and examine population variations relevant to for instance spatial accessibility analyses, crisis management and planning.  Please cite this dataset as: Bergroth, C., Järv, O., Tenkanen, H., Manninen, M., Toivonen, T., 2022. A 24-hour population distribution dataset based on mobile phone data from Helsinki Metropolitan Area, Finland. Scientific Data 9, 39. https://doi.org/10.1038/s41597-021-01113-4   Organization of data The dataset is packaged into a single Zipfile Helsinki_dynpop_matrix.zip which contains following files: <ol> <li> HMA_Dynamic_population_24H_workdays.csv represents the dynamic population for average workday in the study area.</li> <li> HMA_Dynamic_population_24H_sat.csv represents the dynamic population for average saturday in the study area.</li> <li> HMA_Dynamic_population_24H_sun.csv represents the dynamic population for average sunday in the study area.</li> <li>target_zones_grid250m_EPSG3067.geojson represents the statistical grid in ETRS89/ETRS-TM35FIN projection that can be used to visualize the data on a map using e.g. QGIS.</li> </ol> Column names <ol> <li>YKR_ID : a unique identifier for each statistical grid cell (n=13,231). The identifier is compatible with the statistical YKR grid cell data by Statistics Finland and Finnish Environment Institute.</li> <li>H0, H1 ... H23 : Each field represents the proportional distribution of the total population in the study area between grid cells during a one-hour period. In total, 24 fields are formatted as “Hx”, where x stands for the hour of the day (values ranging from 0-23). For example, H0 stands for the first hour of the day: 00:00 - 00:59.  The sum of all cell values for each field equals to 100 (i.e. 100% of total population for each one-hour period)</li> </ol> In order to visualize the data on a map, the result tables can be joined with the target_zones_grid250m_EPSG3067.geojson data. The data can be joined by using the field YKR_ID as a common key between the datasets. License Creative Commons Attribution 4.0 International. Related datasets <ul> <li>Järv, Olle; Tenkanen, Henrikki & Toivonen, Tuuli. (2017). Multi-temporal function-based dasymetric interpolation tool for mobile phone data. Zenodo. https://doi.org/10.5281/zenodo.252612</li> <li>Tenkanen, Henrikki, & Toivonen, Tuuli. (2019). Helsinki Region Travel Time Matrix [Data set]. Zenodo. http://doi.org/10.5281/zenodo.3247564</li> </ul>

opencc-zeroMay 2022View details →

Data from: When can model-based estimates replace surveys of wildlife populations that span many discrete management units?

Monitoring widely distributed species on a budget presents challenges for the spatio-temporal allocation of survey effort. When there are multiple discrete units to monitor, survey alternatives such as model-based estimates can be useful to fill information-gaps but may not reliably reflect biological complexity and change. The spatio-temporal allocation of survey effort that minimizes uncertainty for the greatest number of units within a budget can help to ensure monitoring efforts are optimized. We used aerial survey-based population estimates of moose (Alces alces) across 30 Wildlife Management Units (WMUs) in Ontario, Canada to parameterize simulated populations and test the performance of different monitoring scenarios in capturing WMU-specific annual variation and trends. Firstly, we tested scenarios that prioritized conducting a survey for a unit based on one of three management criteria: population state, population uncertainty, or number of years between surveys. Also incorporated in the decision framework were WMU-specific costs and annual budget constraints. Secondly, we tested how using model-based estimates to fill information-gaps improved population and trend estimates. Lastly, we assessed how the utility (based on minimizing population uncertainty) of using a model-based estimate rather than conducting a survey was impacted by population density, severity of environmental stressors, and years since the last survey. Interval-based monitoring that minimized the number of years between surveys captured accurate trends for the highest number of WMUs, but annual variation was poorly captured regardless of management criteria prioritized. Using model-based estimates to fill information gaps improved trend estimation. Further, the utility of conducting a survey increased with time since the last survey and was greater for populations with low densities when the severity of environmental stressors was high, while being greater for populations with high densities when environmental severity was low. Overall, the utility of aerial survey monitoring was strongly associated with WMU-specific monitoring precision and the predictive power of model-based estimates. If long-term trends are evident then there is greater value in using alternatives such as model-based predictions to replace surveys, but model-based estimates may be a poor substitute when there is strong annual variation and when using a simple model.

opencc-zeroAug 2022View details →

Estimation of breeding population size using DNA-based pedigree reconstruction in brown bears

Robust estimates of demographic parameters are critical for effective wildlife conservation and management, but are difficult to obtain for elusive species. We estimated the breeding and adult population sizes, as well as the minimum population size, in a high-density brown bear population on the Shiretoko Peninsula, in Hokkaido, Japan, using DNA-based pedigree reconstruction. A total of 1,288 individuals, collected in and around the Shiretoko Peninsula between 1998 and 2020, were genotyped at 21 microsatellite loci. Among them, 499 individuals were identified by intensive genetic sampling conducted in two consecutive years (2019 and 2020) mainly by noninvasive methods (e.g., hair and fecal DNA). Among them, both parents were assigned for 330 bears, and either maternity or paternity was assigned to 47 and 76 individuals, respectively. The subsequent pedigree reconstruction indicated a range of breeding and adult (≥4 years old) population sizes: 128–173 for female breeders and 66–91 male breeders, and 155–200 for female adults and 84–109 male adults. The minimum population size was estimated to be 449 (252 females and 197 males) in 2019. Long-term continuous genetic sampling prior to a short-term intensive survey would enable parentage to be identified in a population with a high probability, thus enabling reliable estimates of breeding population size for elusive species. --

opencc-zeroOct 2022View details →

Determining haploblocks and haplotypes in the MAGIC winter wheat population WM-800 based on the wheat 15k Infinium and the 135k Affymetrix SNP arrays

Haplotypes are derived from single nucleotide polymorphisms (SNPs). They are beneficial (i) to remove redundant sequence information in genetic populations and, more important, (ii) to distinguish more than two variants/alleles at a genomic locus. A haploblock locus, made of multiple haplotypes, is very useful in multiparent-advanced-generation-intercross (MAGIC) populations, where, ideally, multiple founder alleles need to be distinguished at each locus to subsequently carry out efficient genome-wide association analysis studies (GWAS). In this regard, the dataset contains genotype matrices (made of SNP, haploblock and haplotype data) for 800 lines of the MAGIC WHEAT population WM-800 (Sannemann et al. 2018). The datasets are based on genotyping the lines with both the already published wheat 15k Infinium SNP array (Sannemann et al. 2018) and the new wheat 135k Affymetrix SNP array.

opencc-by-4.0May 2024View details →

Dataset belonging to SNF project: Use of physiologically based pharmacokinetic modelling to simulate dosing requirements of long-acting intramuscular antiretroviral drugs in special populations and to manage drug-drug interactions

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opencc-by-4.0May 2024View details →

Correlation-based Analysis of the Influence of Bound Constraint Handling Methods on Population Dynamics in Differential Evolution

The dataset is  based on the average values collected over 5 independent runs, considering the largest common number of iterations for LSHADE algorithm coupled with ’sat’, ’midT’, ’midB’, ’unif’, ’beta’, ’mir’, ’tor’, ’expC_R’, ’expC_T’, ’expC_B’, ’vectR’, ’vectT’, ’vectB’, ’mahalanobis’ correction methods, on BBOB function f3, 4, 5, 16, 23, instance 1 Plots for the averaged values are included for measures 'pop_size', 'best', 'error', 'prob_infeas', 'genMutatedComponent', 'genSuccessMutants','meanImprovements', 'varPop', 'avgF', 'avgCR', 'extension', 'shape', 'eccentricity', 'kl_unif'

opencc-by-nc-4.0Dec 2023View details →

Data from: Versatile MRI Acquisition and Processing Protocol for Population-Based Neuroimaging

This data repository contains an example of the acquired MRI sequences and the output of the post-processing pipelines in the Rhineland Study. An overview and information about the MRI sequences and post-processing pipelines can be found in our work 'Versatile MRI Acquisition and Processing Protocol for Population-Based Neuroimaging.' (under-submission)