Find research datasets worth reusing

opencc-by-4.0Sep 2024View details →

Open dataset for the research of "Assessing accuracy improvement of integrating digital footprints into gridded population mapping: spatiotemporal variations and data bias"

Result datasets for "Assessing accuracy improvement of integrating digital footprints into gridded populationmapping:spatiotemporal variations and data bias": <ol> <li> S1 is the results for gridded population mapping using different methods.</li> <li> S2 is the aggregate results of population mapping at county level.</li> <li> S3 is the results for intraday variation of population disaggregation accuracy,</li> <li> S4 is the data bias of different digital footprints.</li> </ol>

opencc-by-4.0Mar 2024View details →

Prevalence and Factors Associated with the Use of Traditional Medicine in Individuals with Hypercholesterolemia, Hyperglycaemia, and Arterial Hypertension in Ecuador: Results from a Population-based Study in Two Health Districts

Open the record for dataset details and reuse information.

opencc-zeroSep 2024View details →

Counting the chorus: A bioacoustic indicator of population density

Passive acoustic monitoring has grown in utility for tracking wildlife populations, though challenges remain when using acoustic detections to monitor population size and density. Distance sampling is considered the 'gold standard' for estimating animal densities but has several important limitations. Here, we have compiled data and code from a case study that demonstrates a fast bioacoustic analysis method leveraging a simple metric call density. Using three years of synchronously collected bioacoustic and point-transect distance sampling data for eight forest bird species native to Hawai‘i, including four endangered species, we found strong correlations between call density and distance sampling-based animal density estimates. These findings indicate that call density is a reliable indicator of animal density that can be used independently or combined with traditional monitoring methods. This approach could enhance passive acoustic monitoring by providing more sensitive population health indicators than commonly used detection/nondetection methods, facilitating prompt conservation and management decisions.

opencc-by-4.0Sep 2024View details →

Vortex input files -- Linking habitat and population viability analysis models of a metapopulation of Florida scrub-jays

Vortex input files for manuscript "Linking habitat and population viability analysis models to account for vegetation dynamics, habitat fragmentation, and social behavior of a metapopulation of Florida scrub-jays" by R. C. Lacy, D. B. Breininger, et al.

opencc-by-4.0Sep 2024View details →

Appendix Figures B.1–B.7 from the article 'Core Prominence as a Signature of Restarted Jet Activity in the LOFAR Radio-Galaxy Population' (Accepted for publication in the journal Astronomy & Astrophysics on August 23, 2024)

Figure captions:   Figs. B.1–B.5. Images of 69 candidate restarted galaxies selected based on high radio $\mathrm{CP_{1400}}$ combined with low SB of extended emission, a steep spectrum of the core, and USS extended emission coupled with a bright core and summarised in Tables A.1 and A.2. Radio contours from VLA FIRST maps (white, $5^{\prime\prime}$), LOFAR high-resolution maps (black, $6^{\prime\prime}$), and NVSS maps (purple, $45^{\prime\prime}$) are overlaid on the LOFAR low-resolution resolution maps (orange, $20^{\prime\prime}$). The contouring of all the maps is made at $\,\sigma_\mathrm{local}\times(-3,3,5,10,20,30,40,50,100,150,200)$ levels, with $\sigma_\mathrm{local}$ representing the local RMS noise of the corresponding maps. The host galaxy position is marked with a yellow cross.   Figs. B.6–B.7. Images of sources excluded from the sample of restarted candidates following the criteria discussed in Sect. 3.1, Sect. 3.2 and Sect. 3.3 and summarised in Tables A.3 and A.4. Radio contours from VLA FIRST maps (white, $5^{\prime\prime}$), LOFAR high-resolution maps (black, $6^{\prime\prime}$), and NVSS maps (purple, $45^{\prime\prime}$) are overlaid on the LOFAR low-resolution resolution maps (orange, $20^{\prime\prime}$). The contouring of all the maps is made at $\,\sigma_\mathrm{local}\times(-3,3,5,10,20,30,40,50,100,150,200)$ levels, with $\sigma_\mathrm{local}$ representing the local RMS noise of the corresponding maps. The host galaxy position is marked with a yellow cross.

A Modeling Framework for Near-Road Population Exposure to Traffic-Related PM2.5 and Environmental Equity Analysis: A Case Study in Atlanta, Georgia

This is the dataset for the NCST project "A Modeling Framework for Near-Road Population Exposure to Traffic-Related PM2.5 and Environmental Equity Analysis: A Case Study in Atlanta, Georgia" by the Georgia Tech research team.   Here is the abstract of the research:  In this study, a modeling framework for population exposure to traffic-related PM2.5 with high spatiotemporal resolution is proposed and applied to the I-575/I-75 Northwest Corridor (NWC) in Atlanta, GA, for environmental equity analysis.  The analyses retrieved trip data from the Atlanta Regional Commission’s (ARC) Activity-Based Model 2020 (ABM2020), after implementing path retention algorithms (Zhao, et al., 2019) to generate individual travel paths for more than 20 million predicted vehicle trips.  Emission rates for each link were retrieved from MOVES-Matrix given the ABM link speed and facility type, the ARC’s county-level fleet composition data, and regional fuel properties and I&M program parameters.  High-resolution downwind concentration profiles were predicted using EPA’s AERMOD microscale dispersion model with AERMET meteorology profiles for a huge array of receptors.  Trip-end locations were derived from the ABM trip data, and the on-road trajectories for each person-trip (vehicle trace data) were derived from the travel paths through network. ABM synthetic household and person data were used in demographic assessment, and linked to representative household latitude and longitude locations in the Epsilon 2019 household demographic dataset.  Individual exposure to traffic-related PM2.5 in time and space (average hourly concentration) was assessed by overlaying the second-by-second person location profiles (for 24 hours) against the hourly predicted PM2.5 concentration profiles.  The analyses summarize the results across 16 demographic groups and the aggregate population exposure are compared to assess potential impact differences across demographics.  High-income households in the corridor were exposed to less traffic-related air pollution as they tended to live further from the freeways.  The analyses did not reveal large disproportionate negative impacts on low income groups along this specific corridor, but lager disproportionate negative impacts are expected elsewhere in the metro area due to the spatial clustering of income groups along other corridors. Overall, the research demonstrates the applicability of the modeling framework and describes how the various elements (e.g., link screening, dispersion modeling, path tracing, etc.) are optimized on the supercomputing cluster.

Model results and data associated with "Antecedent effect models as an exploratory tool to link climate drivers to herbaceous perennial population dynamics data"

Model results and data (including Bayesian posteriors) associated with "Antecedent effect models as an exploratory tool to link climate drivers to 3 herbaceous perennial population dynamics data". This is a repository created to store the posteriors of the models fit within this project. Because these occupy so much space, it makes sense to store them in a separate repository. There are two directories: <ul> <li>model_results/ contains all of the posteriors (files with character pattern main_posterior_#.csv). The three types of files contained in this directory are described in metadata_model_results.xlsx. The number # corresponds to column "index" in file raw_data/design_insample.csv.</li> <li>raw_data/ is mostly not essential: it contains the raw data to fit models, and it replicates folder data/ in repository https://dx.doi.org/10.5281/zenodo.13909628.</li> </ul>

Reference interval of optimal vitamin D level for an adult population of Bangladesh

<div> <div> <h3>Description of the data and file structure</h3> The study collected data from healthy fishermen in Bangladesh to determine the reference interval for vitamin D levels in this population. Additionally, data from an urban population were gathered to identify the parathyroid hormone (PTH) deflection point in relation to vitamin D levels <h4>Files and variables</h4> <h5>File: Urban_final.sav</h5> Description: This file contains data from an urban population aimed at identifying the parathyroid hormone (PTH) deflection point in relation to vitamin D levels. <h5>File: Fishermen_final.sav</h5> Description: This file contains data from healthy fishermen in Bangladesh, collected to determine the reference interval for vitamin D levels in this population. <h3>Code/software</h3> IBM SPSS v25 with Python plug-in software was used to analyse the data. Medcalc version-14 statistical software was used to calculate reference intervals. </div> </div>

Evolution of mate harm resistance in females from Drosophila melanogaster populations selected for faster development and early reproduction

These images are part of the study titled "Evolution of mate harm resistance in females from Drosophila melanogaster populations selected for faster development and early reproduction". The study uses thorax length of study fruit flies as a measure of body size. The images are of the individual fruit fly thorax. These images are used on ImageJ to measure thorax length. The details of the method can be found in the manuscript, which is now accepted for publication in the Journal of Evolutionary Biology. The same can also be found in a <a href="https://doi.org/10.1101/2022.12.25.521905">pre-print</a> version.  The abstract of the article is mentioned below:    Abstract Interlocus sexual conflict is predicted to result in sexually antagonistic coevolution between male competitive traits, which are also female-detrimental, and mate harm resistance (MHR) in females. Little is known about the connection between life-history evolution and sexually antagonistic coevolution. Here, we investigated the evolution of MHR in a set of experimentally evolved populations, where mate-harming ability has been shown to have substantially reduced in males as a correlated response to the selection for faster development and early reproduction. We measured mortality and fecundity of females of these populations and those of their matched controls, under different male exposure conditions. We observed that the evolved females were more susceptible to mate harm - suffering from significantly higher mortality under continuous exposure to control males within the twenty-day assay period. Though these evolved females are known to have shorter lifespan, substantially higher mortality was not observed under virgin and single-mating conditions. We used fecundity data to show that this higher mortality in the experimentally evolved females was not due to the cost of egg production, and hence can only be attributed to reduced MHR. Further analysis indicated that this decreased MHR is unlikely to be due purely to the smaller size of these females. Instead, it is more likely to be an indirect experimentally evolved response attributable to the changed breeding ecology, and/or male trait evolution. Our results underline the implications of changes in life history traits, including lifespan, to the evolution of MHR in females.

opencc-by-4.0Feb 2025View details →

Geospatial micro-estimates of slum populations in 129 Global South countries using machine learning and public data

Reliable estimation of populations living in slums or slum-like conditions is crucial for urban planning, humanitarian resource allocation, and human well-being improvement. We generate the micro-estimate of slum population at a neighborhood level (~3.63 arc-minutes, preserving the privacy of vulnerable people) for 129 Global South countries in 2018. The estimates are built based on the Sustainable Development Goals 11.1 indicator framework and machine learning algorithms to heterogeneous data from household-based surveys and satellite images, as well as grided population data. Our integrated regional models show strong predictive capabilities for cluster-level slums proxy, explaining 82% to 96% of the variation in ground-truth surveys conducted in Global South countries, with root mean squared error ranging from 4.85% to 10.47%. The models perform match or surpass benchmarks established by previous studies. Cross-comparison with independent data sources at multi-scales suggest that our approach can yield reliable and consistent slum population estimates.

Gravitational Wave Memory Imprints on the CMB from Populations of Massive Black Hole Mergers

Visualisation videos of the effect of gravitational wave (GW) memory onto photons from the cosmic microwave background (CMB).

opencc-by-4.0Aug 2024View details →

Data and codes for "Habitat structural complexity increases age-class coexistence and population growth rate through relaxed cannibalism in medaka fish"

The zip file contains readme files, as well as data and codes to reproduce results and figures from the paper.

opencc-by-sa-4.0Nov 2024View details →

Emission library populated with emission rates and effectiveness rates from risk mitigation measures.

This document contains  an emission library populated with emission rates from at least 10-15 industrial activities and effectiveness rates from at least 30 risk mitigation measures (RMMs)”, which includes a literature review of emission factors from diverse sources and a review of effectiveness rates for different risk mitigation measures (RMMs), as well as a description of the methodology applied during the reviews. This document is part of the report of Action B5  of  NANOHEALTH project (LIFE20 ENV/ES/000187).

opencc-by-4.0Nov 2024View details →

Estimates for US foreign-born population size and immigration flows, 2000-2019

Detailed results files for "Bayesian evidence synthesis to infer unobserved population dynamics: an application to international migration into the United States, 2000-2019"

opencc-zeroJul 2019View details →

Data from: Environmental heterogeneity and not vicariant biogeographic barriers generate community wide population structure in desert adapted snakes

Genetic structure can be influenced by local adaptation to environmental heterogeneity and biogeographic barriers, resulting in discrete population clusters. Geographic distance among populations, however, can result in continuous clines of genetic divergence that appear as structured populations. Here we evaluate the relevant importance of these three factors over a landscape characterized by environmental heterogeneity and the presence of a hypothesized biogeographic barrier in producing population genetic structure within 13 codistributed snake species using a genomic dataset. We demonstrate that geographic distance and environmental heterogeneity across western North America contribute to population genomic divergence. Surprisingly, landscape features long thought to contribute to biogeographic barriers play little role in divergence community wide. Our results suggest that isolation by environment is the most important contributor to genomic divergence. Furthermore, we show that models of population clustering that incorporate spatial information consistently outperform nonspatial models, demonstrating the importance of considering geographic distances in population clustering. We argue that environmental and geographic distances as drivers of community-wide divergence should be explored before assuming the role of biogeographic barriers.

opencc-zeroDec 2018View details →

Marine stepping-stones: Connectivity of Mytilus edulis populations between offshore energy installations

Recent papers postulate that epifaunal organisms use artificial structures as stepping-stones to spread to areas that are too distant to reach in a single generation. With thousands of artificial structures present in the North Sea, we test the hypothesis that these structures are connected by water currents and act as an interconnected reef. Population genetic structure of the Blue mussel, Mytilus edulis was expected to follow a pattern predicted by particle tracking models (PTM). Correlation between population genetic differentiation, based on microsatellite markers, and particle exchange was tested. Specimens of M. edulis were found at each location, although the PTM indicated that locations >85 km offshore were isolated from coastal sub-populations. Fixation coefficient FST correlated with the number of arrivals in the PTM. However, the number of effective migrants per generation as inferred from coalescent simulations did not show a strong correlation with the arriving particles. Isolation by distance analysis showed no increase in isolation with increasing distance and we did not find clear structure among the populations. The marine stepping-stone effect is obviously important for the distribution of M. edulis in the North Sea and it may influence ecologically comparable species in a similar way. In the absence of artificial shallow hard substrates, M. edulis would be unlikely to survive in offshore North Sea waters. Although we found an indication that FST was lower between connected locations, isolation by distance analysis showed no increase in isolation with increasing distance. Finally, we did not find clear structure among the populations.

opencc-zeroFeb 2020View details →

Data from: Population-based screening for hepatitis C antibodies and active infection using a point-of-care test in a low prevalence area

Background. Data on the true prevalence of hepatitis C virus (HCV) infection in the general population is essential to health policies. We evaluated a program implementing free universal HCV screening using a non-invasive point-of-care test (POCT) (OraQuick-HCV rapid test) in oral fluid in an urban area in Valencia, South-Eastern Spain. Methods. A cross-sectional study was performed during 2015-2017. Free HCV screening was offered by regular mail to 11,500 individuals aged 18 and over, randomly selected from all census residents in the Health Department. All responding participants filled in a questionnaire about HCV infection risk factors and were tested in their tertiary Hospital. In those with a positive POCT, results were confirmed by enzyme-immunoassay and HCV-RNA. Results. 1,206 persons agreed to participate (response rate: 11.16%). HCV antibodies were detected in 19 (1.60%) cases (age-sex standardized rate: 1.31%; 95%CI: 0.82-2.07), but only 8 showed positive HCV-RNA (age-sex standardized rate: 0.56%; 95%CI: 0.28-1.14). The majority (89%) of the cases were born before 1965 and 74% had at least one known risk factor for HCV infection. All anti-HCV positive individuals were already aware of their infection, and no undiagnosed cases were detected. The performance of the POCT was excellent for detecting active infection. Conclusions. These preliminary data suggest that HCV population screening with a POCT is feasible but, in our setting, mailing recruiting is not effective (11% response rate). The low prevalence of HCV antibodies and active infection in the participant population (with no new diagnoses made) suggests that, in our setting, underdiagnosis may be uncommon. Files uploaded include the study database (Stata v.13) and the do.file of the study.

opencc-zeroDec 2017View details →

Data from: Genome-wide search for quantitative trait loci controlling important plant and flower traits in petunia using an interspecific recombinant inbred population of Petunia axillaris and Petunia exserta

A major bottleneck in plant breeding has been the much limited genetic base and much reduced genetic diversity in domesticated, cultivated germplasm. Identification and utilization of favorable gene loci or alleles from wild or progenitor species can serve as an effective approach to increasing genetic diversity and breaking this bottleneck in plant breeding. This study was conducted to identify quantitative trait loci (QTL) in wild or progenitor petunia species that can be used to improve important horticultural traits in garden petunia. An F7 recombinant inbred population derived between Petunia axillaris and P. exserta was phenotyped for plant height, plant spread, plant size, flower counts, flower diameter, flower length, and days to anthesis, in Florida in two consecutive years. Transgressive segregation was observed for all seven traits in both years. The broad-sense heritability estimates for the traits ranged from 0.20 (days to anthesis) to 0.62 (flower length). A genome-wide genetic linkage map consisting 368 single nucleotide polymorphism bins and extending over 277 cM was searched to identify QTL for these traits. Nineteen QTL were identified and localized to five linkage groups. Eleven of the loci were identified consistently in both years; several loci explained up to 34.0% and 24.1% of the phenotypic variance for flower length and flower diameter, respectively. Multiple loci controlling different traits are co-localized in four intervals in four linkage groups. These intervals contain desirable alleles that can be introgressed into commercial petunia germplasm to expand the genetic base and improve plant performance and flower characteristics in petunia.

opencc-zeroDec 2017View details →

Data from: Local prey community composition and genetic distance predict venom divergence among populations of the northern Pacific rattlesnake (Crotalus oreganus)

Identifying the environmental correlates of divergence in functional traits between populations can provide insights into the evolutionary mechanisms that generate local adaptation. Here, we assess patterns of population differentiation in expressed venom proteins in Northern Pacific rattlesnakes (Crotalus oreganus) from 13 locations across California. We evaluate the relative importance of major biotic (prey species community composition), abiotic (temperature, precipitation, and elevation) and genetic factors (genetic distance based on RADseq loci) as correlates of population divergence in venom phenotypes. We found that over half of the variation in venom composition is associated with among-population differentiation for genetic and environmental variables, and that this variation occurred along axes defining previously observed functional trade-offs between venom proteins that have neurotoxic, myotoxic and hemorrhagic effects. Surprisingly, genetic differentiation among populations was the best predictor of venom divergence, accounting for 46% of overall variation, whereas differences in prey community composition and abiotic factors explained smaller amounts of variation (23% and 19%, respectively). The association between genetic differentiation and venom composition could be due to an isolation by distance effect or, more likely it may reflect an isolation-by-environment effect where selection against recent migrants is strong, producing a correlation between neutral genetic differentiation and venom differentiation. Our findings suggest that even coarse estimates of prey community composition can be useful in understanding the selection pressures acting on patterns of venom protein expression. Additionally, our results suggest that factors other than adaptation to spatial variation in prey need to be considered when explaining population divergence in venom.