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8,375 results for “nationalism”
Developing National Identity Scale: As Indonesian Case
<p><strong><em>Background: </em></strong></p> <p><em>National identity is an important concept to be developed, so it is necessary to have a measurement instrument with evidence of validity and reliability. Thus, the accuracy of the information obtained through the measurement of this instrument will be guaranteed.</em></p> <p> </p> <p><strong><em>Objective:</em></strong></p> <p><em>This article aims to test the psychometric properties of the national identity scale to fulfil the standardization of good measurement.</em></p> <p> </p> <p><strong><em>Method:</em></strong></p> <p><em>In this study, three analytical approaches were used: content validity involving eight subject matter experts (SME), confirmatory factor analysis (CFA), and reliability analysis. For the reliability and CFA approach, 300 students were used as samples taken through the convenience sampling technique.</em></p> <p> </p> <p><strong><em>Result:</em></strong></p> <p><em>The analysis results show that out of the 20 items compiled in the content validity analysis, one item is inadequate because it has a below standard score on Aiken's coefficient of validity. This one item was revised again to be included in the tryout and data collection for the following analysis stage. The results of the CFA analysis show that the model and data are fit, and there are two inadequate items. At the same time, the contribution of the three factors on the national identity scale is significant. In the third analysis, it was found that adequate coefficient reliability affected the low standard error measurement (SEM).</em></p> <p> </p> <p><strong><em>Conclusion:</em></strong></p> <p><em>Based on the analysis results, it can be concluded that the Indonesian national identity scale has fulfilled good psychometric properties. It can be proven from evidence validity based on content, confirmatory factor analysis (CFA), and reliability analysis.</em></p>
A NATIONAL STUDY OF SEROPREVALENCE OF COVID-19 INFECTION IN THE POPULATION OF THE REPUBLIKA SRPSKA
<p>Results of population-based age stratified seroepidemiological investigation in the Republika Srpska.</p>
FIG. 3 in Solanum pulneyensis Soosairaj, sp. nov. (Solanaceae) from Palani Hills National Park of Tamil Nadu, India
FIG. 3. — Distribution map of Solanum pulneyensis Soosairaj,sp. nov., generated using GeoCAT.
FIG. 2 in Solanum pulneyensis Soosairaj, sp. nov. (Solanaceae) from Palani Hills National Park of Tamil Nadu, India
FIG. 2. — Solanum pulneyensis Soosairaj, sp. nov., a twig.
Environmental and AIS data collected during the EUMarineRobots Trans-National Access activities experiments using the NATO STO-CMRE Littoral Ocean Observatory Network testbed (Release 2)
<p>Environmental and AIS data collected during the second phase of EUMR TNA experiments using the CMRE LOON testbed. Environmental data consists of temperature measured across the water column; sound velocity measured close to the surface and close to the sea bottom; meteorological data at the surface (i.e., pressure, temperature, wind speed and direction, humidity and rain). The environmental dataset is complemented with Automatic Identification System (AIS) data for the ships transiting close to the LOON area (Gulf of La Spezia, Italy)</p> <p>Temperature measured across the water column in the LOON area (Gulf of La Spezia, Italy). The dataset includes measurements for:<br> i) June 9-11, 17-18, 25-26 - 2021<br> ii) July 5-7, 21-27, 30-31 - 2021<br> iii) August 3-5, 10-14, 19-21, 23-24, 28-30 - 2021</p> <p><br> Meteorological data at the surface (i.e., pressure, temperature, wind speed and direction, humidity and rain) in the LOON area (Gulf of La Spezia, Italy). The dataset includes measurements for:<br> i) June 9-11, 17-18, 25-26 - 2021<br> ii) July 5-7, 21-27, 30-31 - 2021<br> iii) August 3-5, 10-14, 19-21, 23-24, 28-30 - 2021</p> <p><br> Sound velocity measured close to the surface (SVP1) and close to the sea bottom (SVP2) in the LOON area (Gulf of La Spezia, Italy). The dataset includes measurements for:<br> i) June 9-11, 17-18, 25-26 - 2021<br> ii) July 5-7, 21-27, 30-31 - 2021<br> iii) August 3-5, 10-14, 19-21, 23-24, 28-30 - 2021</p> <p>SVP1 data missing for June 17-18 (2021) and July 5-7 (2021).</p> <p><br> Automatic Identification System (AIS) data for the ships transiting close to the LOON area (Gulf of La Spezia, Italy). The dataset includes AIS data for:<br> i) June 9-11 - 2021</p> <p>AIS recorded data not available after June 11, 2021</p> <p>For reference, see: "Environmental data collected on the CMRE LOON tested during the EUMR project: dataset description", Petroccia, Roberto; Zappa, Giovanni; Cimino, Giampaolo; Grati, Alberto; Alves, João. CMRE-DA-2021-001. July 2021, available at https://www.cmre.nato.int/research/publications/latest-techreports/1638-cmre-da-2021-001</p>
Fig. 1 in A pilot workshop on Bryophytes at the National Herbarium (TAN) reveals the presence of seven additional species for Madagascar
Fig. 1. – Distribution in Madagascar of the new reports from BRYOTAN workshop.
Fig. 3 in A new Dichaetanthera (Melastomataceae: Melastomateae) from Masoala National Park in Madagascar
Fig. 3. – Map showing the distribution of Dichaetanthera schatzii H. Ranariv. & Almeda.
Visitation rate of four bee groups within the Calanques National park, Marseille, France
<p>This dataset presents the number of visits and visitation rates realized by four wild bee groups (small bees - < 10-12 mm, large bees > 12 mm, bumblebees and honey bees) on Mediterranean plant species. Data were collected during field surveys taking place from March to June in 2017 and 2018 in the Calanques National Park, Marseille, France on 17 sites.</p> <p>In each site (i.e. 100 m² plots), to maximize the record of bee visitation rates, we first determined the most flowered patches through a visual observation and then we chose the 3 one-square meters most flowered patches to observe plant-bee interactions. An observation consisted in the recording of the visitation rate of each bee group on each plant species in one meter square for 5 minutes per patch in 2017 and 10 minutes per patch in 2018. A session consisted of the sum of observations of all plant-bee interactions on the three one-square-meter patches (i.e. 15 min per plot in 2017 and 30 min per plot in 2018). Nine sessions were performed in 2017 per plot and 5 sessions in 2018 per plot for a total of 135 minutes of observations per plot in 2017 and 150 minutes of observations per plot in 2018. Observations were made between 8h00 and 18h00 and when weather conditions were favorable (no windy or rainy days). </p> <p>Data contains the plant species, the plant family, the site's name, coordinates in WGS84, the date, the week calendar number, the year, the number of visits realized by small bees, large bees, honeybees, bumblebees, period of observation, then visitation rates of each bee group, visited plant richness on each plot each week and cover of each plant species in each site. Each line corresponds to a plant species observed during one observation. Each visit was counted when a bee plunged its head into the flower.</p>
The National Composite Index for Family Planning (NCIFP): results and methodological issues
<p>This dataset accompanies a paper under consideration for publication in Gates Open Research by Rebecca Rosenberg, John Ross, Karen Hardee and Imelda Zosa-Feranil. The file includes raw data, as well as a tab for each table and figure in the paper.</p>
Data for "Can Regenerative Agriculture increase national soil carbon stocks? Simulated country-scale adoption of reduced tillage, cover cropping, and ley-arable integration using RothC"
<p>R code and supplementary data for soil carbon simulations: "<em>Can Regenerative Agriculture increase national soil carbon stocks? Simulated country-scale adoption of reduced tillage, cover cropping, and ley-arable integration using RothC-26.3</em>"</p>
Los Alamos National Laboratory (LANL) Geosynchronous Particle Data for Di Matteo, S., et al., (2022)
<p>This repository holds data from a set of charged particle analyzers developed and operated by Los Alamos National Laboratory (LANL). The detectors have been hosted on a variety of satellites at geosynchronous orbit. The data are used in the following open access publication submitted to the Journal of Geophysical Research, Space Physics.</p> <p>Di Matteo, S., Villante, U., Viall, N. M., Kepko, L., & Wallace, S. (2021). On differentiating multiple types of ULF magnetospheric waves in response to solar wind periodic density structures. Earth and Space Science Open Archive, 59. Retrieved from <a href="https://doi.org/10.1002/essoar.10508935.1">https://doi.org/10.1002/essoar.10508935.1</a></p>
Data and R files for the analysis of the innovative capacity and the network position of national manufacturing industries in world production
<p>Data and R files for the reproducibility of the results obtained in Kim and Ozaygen, Analysis of the innovative capacity and the network position of national manufacturing industries in world production.</p> <p>It also includes an R/Shiny application which runs at <a href="https://awekim.shinyapps.io/Manuf_shiny_R/">https://awekim.shinyapps.io/Manuf_shiny_R/ </a></p>
2014 EPA National Emissions Inventory allocated to the grid cells of InMAP Source-Receptor Matrix
<p>This dataset is the 2014 EPA National Emissions Inventory (NEI) v1 allocated to the individual grid cells of InMAP Source-Receptor Matrix (<a href="https://zenodo.org/record/2589760#.Yds79GjMI2w">ISRM</a>). The source types is classified by EPA Source Classification Codes (SCCs). The dataset includes emissions of both primary and secondary PM<sub>2.5</sub>. Secondary PM<sub>2.5</sub> includes four precursors: NO<sub>x</sub>, SO<sub>x</sub>, NH3, and VOC. The detailed description of emission processing is in <a href="https://doi.org/10.1073/pnas.1818859116">Tessum et al. (2019</a>).</p> <p>Each shapefile in the dataset is in the format of input file of <a href="http://spatialmodel.com/inmap/">InMAP</a>/ISRM, which includes the emission amounts of five pollutants (Primary PM<sub>2.5</sub>, NO<sub>x</sub>, SO<sub>x</sub>, NH3, and VOC), stack information (height, diameter, temperature, and velocity), and SCCs. The unit of emissions is <span class="math-tex">\(\mu g/s\)</span>. (If these emissions are used directly with the ISRM, the resulting outputs will be concentrations, in units of <span class="math-tex">\(\mu g/m^3\)</span>.)</p>
Radiocarbon and 13C measurements from Joshua Tree National Park, USA
<p>These data include radiocarbon and 13C measurements made on surface soil and incubations from samples taken from the Pinto Basin N amendment experiments started by Edith B. Allen and collaborators in Joshua Tree National Park. The site and experiment description can be found in:</p> <p>Allen, E. B., L. E. Rao, R. J. Steers, A. Bytnerowitcz, and M. E. Fenn. 2009. Impacts of atmospheric nitrogen deposition on vegetation and soils in Joshua Tree National Park. Pages 78–100 in R. H. Webb, L. F. Fenstermaker, J. S. Heaton, D. L. Hughson, E. V. McDonald, and D. M. Miller, editors. The Mojave Desert: Ecosystem processes and sustainability. University of Nevada Press, Las Vegas, Nevada, USA.</p> <p>Samples were taken and processed by Nicole M. Nowinski at the WM Keck Carbon Cycle AMS facility at UC Irvine.</p> <p>An image of the site can be found at this web site:<br> https://www.nps.gov/articles/parkscience32_2_64-66_bell_allen_3838.htm</p> <p>The associated ISRaD Template Information File provides the names and descriptions of all fields.</p>
Daily NOAA Global Ensemble Forecasting System forecasts for six National Ecological Observatory Network lakes (2021--05-18 to 2021-10-24)
<p>NOAA Global Ensemble Forecasting System output generated at 00 UTC that has been subsetted and temporally downscaled from 6-hr to 1-hr for six lakes in the National Ecological Observatory Network. The files include all ensembles and the set of variables required to run the General Lake Model. The NEON siteID for the lakes are BARC, SUGG, CRAM, LIRO, PRLA, PRPO. See https://www.neonscience.org for more information about each lake.</p>
Content Validity and Reliability of the Italian Language Version of the US National Cancer Institute's Patient-Reported Outcomes version of the Common Terminology Criteria for Adverse Events (PRO-CTCAE®)
<p><strong>ABSTRACT </strong></p> <p><strong>Introduction: </strong>The US National Cancer Institute’s (NCI) Patient-Reported Outcomes version of the Common Terminology Criteria for Adverse Events (PRO-CTCAE<sup>®</sup>) is a library of 78 symptom terms and 124 items enabling patient reporting of symptomatic adverse events in cancer trials. This multicenter study used mixed methods to develop an Italian language version of this widely accepted measure, and evaluate content validity and reliability in a diverse sample of Italian-speaking patients.</p> <p><strong>Methods: </strong>All PRO-CTCAE items were translated in accordance with international guidelines. Subsequently, the content validity of the PRO-CTCAE-Italian was examined and iteratively refined through cognitive debriefing interviews. Participants (n=96; 52% male; median age 64 years; 26% older adults; 18% lower educational attainment) completed a PRO-CTCAE survey and participated in a semi-structured interview to determine if the translation captured the concepts of the original English language PRO-CTCAE, and to evaluate comprehension, clarity and ease of judgement. Test-retest reliability of the finalized measure was evaluated in a second sample (n=135).</p> <p><strong>Results: </strong>Four rounds of cognitive debriefing interviews were conducted. The majority of PRO-CTCAE symptom terms, attributes and associated response choices were well-understood, and respondents found the items easy to judge. To improve comprehension and clarity, the symptom terms for nausea and pain were rephrased and retested in subsequent interview rounds. Test-retest reliability was excellent for 41/49 items (84%); the median intraclass correlation coefficient was 0.83 (range 0.64-0.94).</p> <p><strong>Discussion: </strong>Results support the semantic, conceptual and pragmatic equivalence of PRO-CTCAE-Italian to the original English version, and provide preliminary evidence of content validity and reliability.</p>
Drivers of extreme wildfire years in the 1965–2019 fire regime of the Tłı̨chǫ First Nation territory, Canada
<p>Datasets, metadata and Rscript used to describe 1965-2019 wildfire regime and extreme wildfire years in central NWT.</p> <p> </p>
Fig. 2 in Habitat Utilization By Alpine Musk Deer, Moschus Chrysogaster (Artiodactyla, Moschidae), In Khaptad National Park, Nepal
Fig. 2. Ivlev´s habitat electivity index of the musk deer in the Khaptad National Park, Nepal.
Fig. 1 in Ecological Analysis Of Butterflies And Day-Flying Moths Diversity Of The Gouraya National Park (Algeria)
Fig. 1. Geographic location of Gouraya National Park and the study sites (Hafir Halim).
Fig. 2 in Formation Of Inter-Species Links In Ungulates In The Azov-Syvash National Nature Park
Fig. 2. Change in relationship of numbers of the hoof-animals in the Azov-Syvash NNP.
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.