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77 results for “occupancy analysis”
Content analysis of occupational definitions
<p>The methodological process followed for the competence assignment has considered two main phases. In a first phase, a taxonomic analysis has been carried out, identifying and systematizing the tasks included in around the 1.300 definitions of the two main occupational classification systems SOC-2018 and ISCO-2008. Once systematized, it has been assigned to key competences from the European Reference Framework on Key Competences for Lifelong Learning established by the European Commission (European Council, 2018). In a second phase, and on the basis of the results obtained, an analysis of competences has been developed. To make it possible, it has been established two indexes that measure to what extent a competence is relevant to an occupation, quantifying if such competence is present in all the tasks performed for such occupation or just in some or even if it is not (extension). The second index, specialization, measures to what extent a given competence is the most important of the tasks developed by an occupation, or if on the contrary, it is only one of the required competences.</p>
PALEODEM/ Supplementary materials of the manuscript "Unraveling Early Holocene occupation patterns at El Arenal de la Virgen (Alicante, Spain) open-air site: an integrated palimpsest analysis"
<p>This repository hosts the R code scripts and datasets that allow reproducibility and replicability of the intra-site spatial analyses implemented in the paper:</p> <p>Rabuñal, J.R., Gómez-Puche, M., Polo-Díaz, A., Fernández-López de Pablo, J., 2022. Unraveling Early Holocene occupation histories at open-air sites through integrated chronological, archaeostratigraphical, lithic refitting and spatial analyses: the Arenal de la Virgen (Villena, Alicante) study case. SocArXiv.</p> <p>Contents:</p> <p>AV_Spatial_database.xlsx: main dataset for the intra-site spatial analysis.</p> <p>AV_Lcross_database.xlsx: dataset for the implementation of the cross-type L function.</p> <p>AV_2clusters.rds: dataset for the calculation of the artifact metrics.</p> <p>AV_MovingWindow_Results.csv: dataset with the results of the calculation of the Burnt Microdebris Index and its spatial autocorrelation analysis.</p> <p>AV_DBSCAN_Separation.R: R file containing the code used for the separation of the lithic spatial distribution using the DBSCAN automated density-based clustering algorithm.</p> <p>AV_Spatial_analysis.R: R file containing the code used for the intra-site spatial analysis.</p> <p>AV_MWA_Moran.R: R file containing the code for implementing the calculation and spatial autocorrelation analysis of the Burnt Microdebris Index.</p>
Data from: Occupancy winners in tropical protected forests: a pantropical analysis
<p class="MsoNormal"><span>The structure of forest mammal communities appears surprisingly consistent across the continental tropics<span>, presumably due to convergent evolution in similar environments. W</span>hether such consistency extends to mammal occupancy, despite variation in species characteristics and context, remains unclear. Here we ask whether we can predict occupancy patterns and, if so, whether these relationships are consistent across biogeographic regions. Specifically, we assessed how mammal feeding guild, body mass and ecological specialization relate to occupancy in protected forests across the tropics. We used standardized camera-trap data (</span><span>1,002 camera-trap locations and 2-10 years of data)</span><span> and a hierarchical Bayesian occupancy model. We found that occupancy varied by regions, and </span><span>certain species characteristics</span><span> explained much of this variation. Herbivores consistently had the highest occupancy. However, only in the Neotropics did we detect a significant effect of body mass on occupancy: large mammals had lowest occupancy. Importantly, habitat specialists generally had higher occupancy than generalists, though this was reversed in the Indo-Malayan sites. We conclude that </span><span>habitat specialization is key for understanding variation in mammal occupancy across regions, and that habitat specialists often benefit more from protected areas, than do generalists. </span><span>The contrasting examples seen in the Indo-Malayan region likely reflect distinct anthropogenic pressures.</span></p>
Data from: Occupancy winners in tropical protected forests: a pantropical analysis
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Occupational exposure to silica and risk of heart disease: a systematic review with meta-analysis
<p><b><span>Objective</span></b> To search for evidence of the relationship between occupational silica exposure and heart disease.</p> <p><b><span>Design</span></b> A systematic review and meta-analysis.</p> <p><b><span>Background</span></b> Growing evidences suggest a connection between occupational silica exposure and heart disease; however, the link between them is less clear.</p> <p><b><span>Data sources </span></b>PubMed, ScienceDirect, Springer and EMBASE were searched for articles published between 1 January 1995 and 20 June 2019. Articles that investigated the effects of occupational silica exposure on heart disease risk were considered.</p> <p><b><span>Study selection </span></b><span>We included c</span><span>ohort stud</span><span>ies</span>, including prospective, retrospective and retro-prospective studies.</p> <p><b><span>Data extraction and synthesis</span></b> We extracted data by using a piloted data collection form and conducted random-effects meta-analysis and exposure-response analyses. The meta-relative risk (meta-RR), a measure of the average ratio of heart disease rates for those with and without silica exposure, was used as an inverse variance-weighted average of relative risks from the individual studies. The Newcastle-Ottawa Quality assessment Scale about cohort studies was used for study quality assessment.</p> <p><b><span>Outcome measure</span></b> We calculated heart disease risks of pulmonary heart disease, ischaemic heart disease and other heart diseases.</p> <p><span><b><span>Results</span></b> Twenty cohort articles were included. Results suggest a significant increase of overall heart disease risk (meta-RR = 1.08, 95% CI = 1.03, 1.13). Stronger evidences of association with pulmonary heart disease were found through both categories of heart disease risk estimate (meta-RR = 1.24, 95% CI = 1.08, 1.43) and exposure-response analyses (meta-RR = 1.39, 95% CI = 1.19, 1.62). Moreover, our subgroup analyses revealed that the statistical heterogeneity among studies could be attributed mainly to the diversities of reference group, occupation and study quality score.</span></p> <p><b><span>Conclusions</span></b> Silica-exposed workers have increased risk of overall heart disease, especially pulmonary heart disease. While further research is needed to better clarify the relationship between occupational silica exposure and ischaemic heart disease.</p>
Processed data for the analysis of human mobility changes from COVID-19 lockdown on bird occupancy in North Carolina, USA
<p>The COVID-19 pandemic lockdown worldwide provided a unique research opportunity for ecologists to investigate the human-wildlife relationship under abrupt changes in human mobility, also known as Anthropause. Here we chose 15 common non-migratory bird species with different levels of synanthrope and we aimed to compare how human mobility changes could influence the occupancy of fully synanthropic species such as House Sparrow (<em>Passer domesticus</em>) versus casual to tangential synanthropic species such as White-breasted Nuthatch (<em>Sitta carolinensis</em>). We extracted data from the eBird citizen science project during three study periods in the spring and summer of 2020 when human mobility changed unevenly across different counties in North Carolina. We used the COVID-19 Community Mobility reports from Google to examine how community mobility changes towards workplaces, an indicator of overall human movements at the county level, could influence bird occupancy.</p>
Occupational Lyme Disease: A Systematic Review and Meta-Analysis
<p>Data used in meta-analysis</p>
Data from: Dracula's ménagerie: A multispecies occupancy analysis of lynx, wildcat, and wolf in the Romanian Carpathians
<p>The recovery of terrestrial carnivores in Europe is a conservation success story. Initiatives focused on restoring top predators, require information on how resident species may interact with the re-introduced species as their interactions have the potential to alter food webs, yet such data are scarce for Europe.</p> <p>In this study, we assessed patterns of occupancy and interactions between three carnivore species in the Romanian Carpathians. Romania houses one of the few intact carnivore guilds in Europe, making it an ideal system to assess intraguild interactions, and serve as a guide for reintroductions elsewhere.</p> <p>We used camera trap data from two seasons in Transylvanian forests to assess occupancy and co-occurrence of carnivores using multispecies occupancy models.</p> <p>Mean occupancy in the study area was highest for lynx ( <span>Y</span><sub>winter</sub>= 0.76 95% CI: 0.42-0.92; <span>Y</span>autumn= 0.71 CI: 0.38-0.84) and wolf (<span>Y</span><sub>winte</sub>r= 0.60 CI: 0.34-0.78; <span>Y</span><sub>autum</sub>n= 0.81 CI: 0.25-0.95) and lowest for wildcat (<span>Y</span><sub>winter</sub>= 0.40 CI: 0.19-0.63; <span>Y</span><sub>autumn</sub>= 0.52 CI: 0.17-0.78)</p> <p>We found that marginal occupancy predictors for carnivores varied between seasons. We also found differences in predictors of co-occurrence between seasons for both lynx-wolf and wildcat-wolf co-occurrence. For both seasons, we found that conditional occupancy probabilities of all three species were higher when another species was present.</p> <p>Our results indicate that while there are seasonal differences in predictors of occupancy and co-occurrence of the three species, co-occurrence in our study area is high, and is dependent on the existence of continuous, relatively undisturbed forests.</p> <p>Terrestrial carnivore recovery efforts are ongoing worldwide. Insights into interspecific relations between carnivore species are critical when considering the depauperate communities they are introduced in. Our work showcases that apex carnivore coexistence is possible, but dependent on protection afforded to forest habitats and their prey base.</p>
Enhancing Collaborative Care in Schizophrenia: A Comparative Analysis of ICF Core Sets Assessments by Occupational Therapy and Mental Health Social Work Students
<p>This repository contains the R code, dataset, and README file for the network analysis of ICF (International Classification of Functioning, Disability, and Health) assessments. The study compares the assessments conducted by occupational therapy students and mental health social work students, analyzing centrality measures and Bridge Expected Influence within their respective networks.</p>
Incidence and influencing factors of occupational pneumoconiosis: A systematic review and meta-analysis
<p><span><strong>Objectives</strong>: </span><span>To determine the incidence of pneumoconiosis worldwide and its influencing factors. </span></p> <p><span><strong>Design</strong>:</span><span> Systematic review and meta-analysis. </span></p> <p><span><strong>Setting</strong>:</span><span> Cohort studies on occupational pneumoconiosis.</span></p> <p><span><strong>Participants</strong>:</span><span> PubMed, Embase, the Cochrane Library, and Web of Science were searched until November 2021. Studies were selected for meta-analysis if they involved at least one variable investigated as an influencing factor for the incidence of pneumoconiosis and reported either the parameters and 95% confidence intervals (CIs) of the risk fit to the data, or sufficient information to allow for the calculation of those values. </span></p> <p><span><strong>Primary outcome measures</strong>:</span><span> The </span><span>pooled incidence of pneumoconiosis and risk ratio (RR) and 95% CIs of influencing factors. </span></p> <p><span><strong>Results</strong>:</span><span> Our meta-analysis included 19 studies with a total of 335,424 participants, of whom 29,972 developed pneumoconiosis. The pooled incidence of pneumoconiosis was 0.093 (95% CI: 0.085~0.135). We identified the following influencing factors: (1) male (RR=3.74; 95%CI 1.31–10.64; P=0.01), (2) smoking (RR=1.80; 95%CI 1.34</span><span>–</span><span>2.43; P=0.0001), (3) tunneling category (RR=4.75; 95%CI 1.96</span><span>–</span><span>11.53; P<0.0001), (4) helping category (RR=0.07; 95%CI 0.13</span><span>–</span><span>0.16; P<0.0001), </span><span>(5) age (the highest incidence occurs between the ages of 50 and 60), </span><span>(6) duration of dust exposure ((RR=4.59, 95% CI 2.41</span><span>–</span><span>8.74, P<0.01), (7) cumulative total dust exposure (CTD) (RR=34.14, 95% CI 17.50</span><span>–</span><span>66.63, P<0.01). A dose-response analysis revealed a significant positive linear dose-response association between the risk of pneumoconiosis and duration of exposure and CTD (P-nonlinearity=0.10, P-nonlinearity=0.16; respectively). The Pearson correlation analysis revealed that silicosis incidence was highly correlated with CSE (r=0.794, P<0.001).</span></p> <p><span><strong>Conclusion</strong>:</span><span> The incidence of pneumoconiosis in occupational workers was 0.093 and seven factors were found to be associated with the incidence, providing some insight into the prevention of pneumoconiosis.</span></p> <p><span>PROSPERO registration number: CRD42022323233.</span></p> <p><span>Abbreviations:</span><span> NOS: Newcastle Ottawa Scale, CWP: Coal Worker's Pneumoconiosis, CTD: cumulative total dust exposure, CSE: cumulative silica exposure.</span></p>
Work Physiological-Biomechanical Analysis of a Passive Exoskeleton to Support Occupational Lifting and Flexing Processes
ClinicalTrials.gov study NCT03725982. IPD Sharing: NO. Countries: 1. Publications: 2.
Data from: Dracula’s ménagerie: A multispecies occupancy analysis of lynx, wildcat, and wolf in the Romanian Carpathians
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Occupational exposure to silica and risk of heart disease: a systematic review with meta-analysis
Open the record for dataset details and reuse information.
Processed data for the analysis of human mobility changes from COVID-19 lockdown on bird occupancy in North Carolina, USA
Open the record for dataset details and reuse information.
A multiscale analysis of factors influencing Blackpoll Warbler occupancy and abundance during the non-breeding season in eastern Colombia
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Incidence and influencing factors of occupational pneumoconiosis: A systematic review and meta-analysis
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ANALYSIS OF the risk factors of MUSCULOSKELETAL DISORDERS: A dataset on most challenging operations in the garments industry in Bangladesh and reported occupational discomforts by the workers.
<p>This dataset comprises the perceived most challenging operations in the garment industry and the occupational discomfort faced by the workers. Collected through participant surveys, the dataset encompasses demographic information and work related parameters.</p><p>The primary objective of this dataset is to identify and analyse the prevalence of MSDs in the most challenging operation in the garment industry. Researchers, ergonomists, and occupational health professionals can leverage this dataset to explore further for mitigating MSD risks in the industry.</p><p>This dataset can be used for finding the Ergonomic interventions and workplace improvements. It can facilitate specific interventions for solving work related diseases among the garment workers.</p><p>Anyone can use this dataset with proper citation.</p><p>Note: This dataset adheres to ethical considerations, and participant information is anonymized to ensure confidentiality.</p>
FIG. 4 in Staggered-Entry Analysis of Breeding Phenology and Occupancy Dynamics of Arizona Toads from Historically Occupied Habitats of New Mexico, USA
FIG. 4. Estimated detection probability from the simple multi-season model fitted with calling data from historical and control sites, based on the relationship between detection and Julian date from the simple multi-season occupancy model. Julian values represent only the values present in our data set and range from 1 March to 30 May (Julian days 60–150).
FIG. 3 in Staggered-Entry Analysis of Breeding Phenology and Occupancy Dynamics of Arizona Toads from Historically Occupied Habitats of New Mexico, USA
FIG. 3. Estimated probabilities of yearly occupancy (y-axis; 6 95% CI) from the historically occupied (orange) and control (blue) sites for the (A) staggered-entry model (SE) and the (B) simple multi-season (SMS) model. Dotted error bars represent years when surveys were not conducted.
FIG. 2 in Staggered-Entry Analysis of Breeding Phenology and Occupancy Dynamics of Arizona Toads from Historically Occupied Habitats of New Mexico, USA
FIG. 2. Estimated probabilities of Arizona Toads entering sites between subsequent surveys (orange), given that they have not previously entered, based on the estimated relationship between entry and Julian date. Estimated probabilities of Arizona Toad departing sites between subsequent surveys (blue), given that they are already present, based on the estimated relationship between departure and Julian date. Yellow points show the probabilities that toads were available to be detected for each day. Julian values range from 1 March to 30 May.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.