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8,375 results for “nationalism”
Risk factors for non-communicable diseases in Bangladesh: Findings of the population-based cross-sectional national survey 2018
<p><span><strong><span>Objectives:</span></strong> To determine the national prevalence of risk factors of non-communicable diseases (NCD) in the adult population of Bangladesh. </span></p> <p><span><strong><span>Design: The study was a </span></strong>population-based national cross-sectional study.</span></p> <p><span><strong><span>Setting:</span></strong> 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.</span></p> <p><span><strong><span>Participants:</span></strong> 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. </span></p> <p><span><b>Primary and secondary outcome:</b> The prevalence of behavioral, physical, and biochemical risk factors of NCD. Data were weighted to generate national estimates.</span></p> <p><strong>Results: </strong>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).</p> <p><strong>Conclusions: </strong>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. </p>
Global, Regional, and National Fossil-Fuel CO2 Emissions: 1751-2017
<p>This data product is a time series of Carbon Dioxide (CO2) emissions from fossil fuel combustion and cement manufacture. Estimates of CO2 emissions are included for the globe and by nation back to 1751, and include emissions from solid fuel consumption, liquid fuel consumption, gas fuel consumption, cement production, and gas flaring. Per capita CO2 emissions and emissions from international trade (bunker fuels) are included as well; bunker fuels are not included in country totals, but are assigned to the country in which loading took place. Estimates are generated using the United Nations Energy Statistics database and the United States Geologic Survey’s cement statistics. Datasets produced from this group at Appalachian State University are located at https://data.ess-dive.lbl.gov/view/doi:10.15485/1712447, and are also located at https://energy.appstate.edu/research/work-areas/cdiac-appstate. Historic CDIAC data from Oak Ridge National Laboratory are located here: https://data.ess-dive.lbl.gov/view/doi:10.3334/CDIAC/00001_V2017. This dataset is the foundational dataset for the annual global carbon budget and other carbon cycle analyses that need relevant fossil fuel CO2 data. Within this data package are spreadsheets (.csv) of global and national estimates of CO2 emissions as well as text files of the ranking of each country’s total CO2 emissions and per capita for that year</p>
Grassland African Road Images (GARI): A Driving Dataset from Kenyan Highways and National Parks
<p>A driving dataset collected on grassland roads in Kenyan national parks and highways in western Kenya. The dataset contains images from 20 hours of driving as well the driving signals from the vehicle such as speed, steering, acceleration etc. This is the first driving dataset from Africa to the best of our knowledge. See <em>GARI_dataset_description.pdf</em> for more information.</p>
Analysis of the Causes of Workforce Shortages: Create Guidelines for Education and Workforce Development in Transportation to Generate Future Careers for the Navajo Nation
<p>Activities were dedicated to the collections, summarizations and categorizing more research articles related to the analysis of the sources of workforce deficiencies. The focus was on the technical and educational solution methods and strategies, guideline relevant to the workforce development. The times also were committed to the development of educational modules related to carrier’s opportunities in the transport industry into a couple of courses. Several NTU STEM students were interviewed, selected and introduced for the summer research internships in transportation areas to LSU Tran SET center. Outreach activities conducted with the community and some of the high school professionals related to the factors, which have the greatest impact on job choice decisions of students entering the workforce in transportation industries. In order to increase the community knowledge and awareness several intern students were hired and guided to do research about the impact of transport trades and jobs chances on communities in the Navajo Nation.</p>
Developing hierarchical density-structured models to study the national-scale dynamics of an arable weed
<p class="BodyText1">Population dynamics can be highly variable in the face of environmental heterogeneity, and understanding this variation is central in the study of ecology. Robust management decisions require that we understand how populations respond to management at a range of scales, and under a broad suite of conditions. Population models are potentially valuable tools in addressing this challenge. However, without adequate data, models can fail to produce useful results. Populations of arable weeds are particularly problematic in this respect, as they are widespread and their dynamics are extremely variable. Owing to the inherent cost of collecting data, most studies of weed population dynamics are derived from localized experiments under a small range of environmental conditions, limiting the extent to which variance in population dynamics can be measured. Density-structured models provide a route to rapid, large-scale analysis of population dynamics, and can expand the scale of ecological models that are directly tied to data. Here we extend previous density-structured models to include environmental heterogeneity, variation in management, and to account for inter-population variation. We develop, parameterize and test hierarchical density-structured models for a common agricultural weed, black-grass (<i>Alopecurus myosuroides</i>). We model the dynamics of this species in response to crop management, using survey data gathered over 4 years from 364 fields across a network of 45 UK farms. We show that hierarchical density-structured models provide a substantial improvement over their non-hierarchical counterparts. Using these models, we demonstrate that several alternative crop-rotations are effective in reducing weed densities. Rotations with high wheat prevalence exhibit the most severe infestations, and diverse rotations generally have lower weed densities. However, a key outcome is that in many cases the effect of crop rotation is small compared to the high variability arising from spatio-temporal heterogeneity. This result highlights the need to monitor and model population dynamics across large spatial and temporal scales in order to account for variation in the drivers of plant dynamics. Our framework for data collection and modelling provides a means to achieve this.</p>
"A Simple Model to Predict Future SARS-CoV-2 Infections on a National Level" by Blanco et al. dataset
<p>Raw, original data and fits data set for "A Simple Model to Predict Future SARS-CoV-2 Infections on a National Level" by Blanco et al. in EXCEL and GraphPad Prism file formats and FORTRAN code.</p>
Data from: Local environment, not local adaptation, drives leaf-out phenology in common gardens along an elevational gradient in Acadia National Park, Maine
PREMISE OF THE STUDY: Climate-driven changes in phenology are substantially affecting ecological relationships and ecosystem processes. The role of variation among species has received particular attention; for example, variation among species' phenological responses to climate can disrupt trophic interactions and can influence plant performance. Variation within species in phenological responses to climate, however, has received much less attention, despite its potential role in ecological interactions and local adaptation to climate change. METHODS: We constructed three common gardens across an elevation gradient on Cadillac Mountain in Acadia National Park, Maine to test population-level responses in leaf-out phenology in a reciprocal transplant experiment. The experiment included three native species: low bush blueberry (Vaccinium angustifolium), sheep's laurel (Kalmia angustifolia), and three-toothed cinquefoil (Sibbaldiopsis tridentata). KEY RESULTS: Evidence for local adaptation of phenological response to temperature varied among the species, but was weak for all three. Rather, variation in phenological response to temperature appeared to be driven by local microclimate at each garden site and year-to-year variation in temperature. CONCLUSIONS: Population-level adaptations in leaf-out phenology appear to be relatively unimportant for these species in Acadia National Park, perhaps a reflection of strong genetic mixing across elevations, or weak differences in selection on phenological response to spring temperatures at different elevations. These results concur with other observational data in Acadia and highlight the utility of experimental approaches to understand the importance of annual and local site variation in affecting phenology both among and within plant species.
Figure 1 in Andean bear (Tremarctos ornatus) population density and relative abundance at the buffer zone of the Chingaza National Natural Park, cordillera oriental of the colombian andes
Figure 1. Natural covers map showing camera traps distribution at 9 grids throughout the study area.
Social media images from Peneda-Gerês National Park, Northern Portugal
<p>This dataset contains images from the Peneda-Gerês National Park, Northern Portugal. The images were collected from the Flickr and Wikiloc platforms considering a time period from 2003 to 2017. In respect to the General Data Protection Regulation 2016/679, social media data protected by users’ rights was not downloaded nor analysed. Public data that would potentially contain personal information from social media users was kept anonymous through the study. Data was retrieved through the use of the freely available Flickr’s Application Programming Interface (API), indicating a time window and a bounding box with a pair of coordinates (in our case: minimum latitude: 41.653104; maximum lat.: 42.083595; min. longitude: -8.426270; max. lon.: -7.754076) around Peneda-Gerês. This information was then saved as an excel file with the following attributes: user-id, date taken, latitude, longitude, picture uniform resource locator (url).</p> <p>A first annotation, in the context of cultural ecosystem services (CES), was performed by dividing the photographs of the dataset into “Indoor” and “Outdoor” classes. Only the “Outdoor” pictures were included in this study, since CES are directly connected to nature and environment, which in turn are related to the outside/outdoor. The “Outdoor” images were further divided into two main classes, “Natural” and “Human”, depending on whether the image was dominated by natural or man-made elements. Lastly, a finer annotation for outdoor images was also provided, which encompasses the following six classes: “Species”, “Landscape”, “Nature”, “Human activities”, “Human structures” and “Posing”. “Species” pictures respectively pertained to close-up shots of animals or plants in the wild, translating CES pertaining to biodiversity appreciation. “Landscape” pictures show wide-open shots of nature in the wild, often with a visible horizon most often representing people’s enjoyment of landscape aesthetics. “Human activities” include pictures where people engage in by recreational activities, for instance related to sports such as ski or cycling. “Human structures” include those pictures where man-made structures dominate in the wild, e.g., historical monuments and churches, capturing situations of cultural heritage and spiritual enrichment. “Posing” refers to pictures with people looking at the camera, with recognizable faces, testifying social enjoyment and sense of identity. Finally, “Nature” pictures capture natural elements with no particular feature (such as species) but with an intermediate shot (differing from wide-open shots attributed to landscapes), expressing the appreciation of nature by people.</p>
Data from: Planning for climate change through additions to a national protected area network: implications for cost and configuration
<p>Expanding the network of protected areas is a core strategy for conserving biodiversity in the face of climate change. Here we explore the impacts on reserve network cost and configuration associated with planning for climate change in the United States using networks that prioritize areas projected to be climatically suitable for 1,460 species both today and into the future, climatic refugia, and areas likely to facilitate climate-driven species movements. For 14% of the species, networks of sites selected solely to protect areas currently climatically suitable failed to provide climatically suitable habitat in the future. Protecting sites climatically suitable for species today and in the future significantly changed the distribution of priority sites across the U.S.—increasing relative protection in the northeast, northwest, and central U.S. Protecting areas projected to retain their climatic suitability for species cost 59% more than solely protecting currently suitable areas. Including all climatic refugia and 20% of areas that facilitate climate-driven movements increased the cost by another 18%. Our results indicate that protecting some types of climatic refugia may be a relatively inexpensive adaptation strategy. Moreover, although addressing climate change in conservation plans will have significant implications for the configuration of networks, the increased cost of doing so may be relatively modest.</p> <p> </p>
The Hollybrook Harp (National Museum of Ireland)
This is a scan of the Hollybrook Harp (Dublin, National Museum of Ireland, DF:1986-2). http://museum.ie The Hollybrook is supposed to date from c.1700. This scan was made as part of a project to study the harp. The scan and mesh processing conducted by Ciaran McCormack, 3D Printing Ireland https://3dprintingireland.com/ Video of scanning process: https://www.youtube.com/watch?v=uBVaubmOEIc The project to scan and investigate the Hollybrook Harp was undertaken by Karen Loomis and Simon Chadwick, for the Historical Harp Society of Ireland in 2020. For more information please see http://irishharp.org/ The project was funded by the Arts Council http://artscouncil.ie The full write up with all data files is available online at http://irishharp.org/hollybrook Source: Objaverse 1.0 / Sketchfab
Kinver Edge Rock, National Trust
Taken while on a trip to the National Trust location and the glaring eyes of "are you really scanning again while on a day out" so the model is pretty rough. Reconstructed using around 300 photos on a Samsung Galay S20 Plus camera and processed in Metashape in July 2020. It was quite busy there so a bunch of images have people in the background hence the odd colour blobs in places and the some missing patches. Overall not too bad for a "walk and constantly pressing take picture button" job. Source: Objaverse 1.0 / Sketchfab
National emblem of the Russian Empire
National emblem of the Russian Empire from a pharmacy in Kłobuck ID no.: KGZ 1258 Museum: The Museum of Pharmacy at the Jagiellonian University Medical College in Kraków https://muzea.malopolska.pl/en/objects-list/891 Digitalisation: RDW MIC, Virtual Małopolska project Source: Objaverse 1.0 / Sketchfab
Welsh National Falklands War Memorial
Falklands War Memorial *Created during COMSC Placement 2021 Cardiff University* The Falklands War Memorial was created in 2007 to commemorate those who died in the Falklands conflict of 1982. The memorial was created by the Wales branch of the South Atlantic Medal Association and the stone on the top is taken directly from Mount Harriet in 1982. This model was created using Meshroom and edited using Autodesk recap photo. The link to the website where we give a more detailed description of our wider range of models is here: https://robinechoalex.github.io/cardiff-public-art-models/ Source: Objaverse 1.0 / Sketchfab
Mask - National Museum of Antiquities
I visited the [National Museum of Antiquities in Leiden](http://www.rmo.nl/english), the Netherlands today and did a quick scan of this mask. **Want to learn how to create 3D scans like this?** Read my tutorial '[How I create my 3D scans with Autodesk Recap360](https://blog.sketchfab.com/how-i-create-my-3d-scans-with-autodesk-recap360/)' to learn how I create these scans with just an iPhone and free online software. Source: Objaverse 1.0 / Sketchfab
NMI Carolan harp (National Museum of Ireland)
17th-18th century Irish harp said to have belonged to Turlough Carolan (1670-1738) National Museum of Ireland NMI DF:1945-122 Laser-scanned by Elaina Sugrue (AccuScan3d) video of scanning process at https://www.youtube.com/watch?v=bgWVTD6qa_s The interior surface of the soundbox was also scanned, but some surfaces were not visible to the scanner outside the harp, and so the rendering algorithms have filled in these gaps with bulbous surfaces. The model supplied was 700MB, this is a shrunken low-res version for upload to Sketchfab. Any questions please let me know. Since it is just a digital reproduction of a public-domain publicly owned artefact, the scan data should also be public domain. But I couldn't work out how to mark the model as cc0 / Public Domain so it has to be marked as cc-by (attribution). You don't need to attribute it to me - please give attribution and credit to the National Museum of Ireland, who own the original object and gave permission for the laser-scan to be made. Source: Objaverse 1.0 / Sketchfab
Carl Wark, Peak District National Park
Carl Wark escarpment hill fort is a recognised as a nationally important archeological site. Carl Wark is located at grid reference WikiMiniAtlasSK259814. This model was constructed using drone-based photos and Agisoft metashape. Note: the moor really is that purple in August - at this time of the year the heather is in full flower! Source: Objaverse 1.0 / Sketchfab
Sequences, taxonomic assignments, and R script from Comparison of Lava Cave Bacterial Mat Communities to Overlying Surface Soil Bacterial Communities from Lava Beds National Monument, USA
<p>This set of files contain the 16S rDNA, taxonomic assignments from the greengenes database, and the R script for processing the data. </p> <p><strong>Abstract</strong></p> <p>Lava caves around the world often support extensive microbial mats on ceilings and walls in a range of colors. Little is known about lava cave microbial diversity and how these subsurface mats differ from microbial communities in overlying surface soils. We generated and analyzed bacterial 16S rDNA from 454 pyrosequencing from three colors of microbial mats (tan, white, and yellow) from seven lava caves in Lava Beds National Monument, CA, USA, and compared them with surface soils overlying each cave. <em>Actinobacteria</em> dominated in all samples, with 39% (caves) and 21% (surface soils). <em>Proteobacteria</em> made up 30% of phyla from caves and 36% from surface soil with <em>Gamma</em>- 20% and <em>Alpha</em>- 10% in the caves and <em>Gamma</em>- 18% with <em>Alpha</em>-17% in soil. Other major phyla in caves were <em>Nitrospirae</em> (7%) followed by Minor Phyla (7%), compared to surface soils with <em>Bacteriodetes</em> (8%) and Minor phyla (8%). A very high proportion (53.33%) of the most abundant sequences could not be identified to genus, indicating a high degree of novelty. Surface soil samples had more OTUs and greater diversity indices than cave samples. The same phyla were represented in both soils and cave microbial mats, but the overlap was only 11.2% at the operational taxonomic unit (OTU). Although surface soil microbes immigrate into underlying caves, the environment selects for microbes able to live in the cave habitats, resulting in very different cave microbial communities. In terms of species richness, diversity by mat color differed, but not significantly. Number of entrances per cave, distance from an entrance, cave length, and temperature also contributed to observed differences in diversity. With high levels of novel microbes, caves may represent excellent habitats for the isolation of new bioactive compounds. This study is the first comprehensive comparisons of bacterial communities in lava caves with the overlying soil community.</p>
FIGURE 22 in Orthoptera (Insecta: Tettigonioidea, Pyrgomorphoidea, Acridoidea) of Kafa Biosphere Reserve, Bale Mountains National Park and other areas of conservation interest in Ethiopia
FIGURE 22. Ovipositor and subgenital plate of females Peropyrrhicia.
FIGURE 8 in Orthoptera (Insecta: Tettigonioidea, Pyrgomorphoidea, Acridoidea) of Kafa Biosphere Reserve, Bale Mountains National Park and other areas of conservation interest in Ethiopia
FIGURE 8. Conocephalus conocephalus, Shorori Wetland (1610 m), Ethiopia. Scale bar represents 1 cm.
ScienceDex guides
Understand access before you commit
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.