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263 results for “Impact Factor”
Midpoint Characterization Factors to assess impacts of turbined water use from hydropower production
<p>This repository contains "Supporting Information 2 (SI2)" and a shapefile with the CFs at basin level for the publication titled "Midpoint Characterization Factors to assess impacts of turbine water use from hydropower production", published in "The International Journal of Life Cycle Assessment" .<br><br></p> <p>Content:</p> <p>SI2 is an excel file with the following sheets: </p> <ul> <li>Midpoints_CFs_Basin <ul> <li>Midpoint CF values [HDOR·y/m3] for each basin, including TWU, RV and Q input parameters and sensitivity results</li> </ul> </li> <li>TE <ul> <li>TE values used for TWU calculations</li> </ul> </li> <li>Midpoints_CFs_Country <ul> <li>Midpoint CF values [HDOR·y/m3] aggregated to country level (Weighted average based on TWU). Country delination obtained from: The Word Bank. (2021). World International Borders - Very High Definition. https://datacatalog.worldbank.org/search/dataset/0038272</li> </ul> </li> </ul> <div> <ul> <li>Case_Study <ul> <li>Underlying data for the case study performed in Sections 2.6 and 3.3 of the main publication</li> </ul> </li> </ul> </div> <p>CF_Basin_shapefile.zip contains:</p> <ul> <li>Shapefile with CF values at basin level. <br> <ul> <li>Basins obtained from from Lin et al. (2021), https://doi.org/10.1038/s41597-021-00819-9 </li> <li>basid matches with "Midpoints_CFs_Basin"</li> </ul> </li> </ul> <p> </p> <p> </p> <p> </p> <p> </p>
FIGURE 5 in Morphological variation of Jovibarba heuffelii (Crassulaceae) in the central Balkan Peninsula-The impact of geological, orographical and bioclimatic factors on the differentiation of populations
FIGURE 5. Cluster analysis of 11 populations of J. heuffelii from open grassland communities based on (A) 34 morphological characters, and (B) 19 bioclimatic parameters (C1 and C2 climate type, for details see Table 5.). The asterisk indicates the position of the morphologically most specific populations on both cluster diagrams, while the triangle indicates the position of the bioclimatically most specific populations on both cluster diagrams.
FIGURE 2 in Morphological variation of Jovibarba heuffelii (Crassulaceae) in the central Balkan Peninsula-The impact of geological, orographical and bioclimatic factors on the differentiation of populations
FIGURE 2. Results of the principal component analysis (PCA) for 34 quantitative morphological characters.
FIGURE 3 in Morphological variation of Jovibarba heuffelii (Crassulaceae) in the central Balkan Peninsula-The impact of geological, orographical and bioclimatic factors on the differentiation of populations
FIGURE 3. Results of the canonical discriminant analysis (CDA) based on 34 quantitative morphological characters of 299 individuals of J. heuffelii analyzed: (A) Canonical scores for each individual on the first and second DA axis; (B) Cluster analysis (UPGMA) for populations of J. heuffelii based on Mahalanobis distances. Full triangle, 8-SR: Radan; full square, 2-SR: Gradac; full circle, 5-SR: Nebeske stolice; full rhombus, 3-SR: Suvaja; gray triangle, 4-SR: Studenica; gray square, 6- SR: Treska; black-white circle, 11-SR: Stara planina; gray rhombus, 13-MA: Treskavec; empty triangle, 14-MA: Mavrovo; empty square, 12-BU: Trojanski prolaz; empty rhombus, 7-SR: Basarski kamik; plus, 9-SR: Pljačkovica; star, 10-SR: Besna Kobila; empty circle, 1-RO: Domogled.
FIGURE 4 in Morphological variation of Jovibarba heuffelii (Crassulaceae) in the central Balkan Peninsula-The impact of geological, orographical and bioclimatic factors on the differentiation of populations
FIGURE 4. Results of multiple correspondence analysis (MCA) of qualitative characters based on Mahalanobis distance between the populations of J. heuffelii analyzed.
FIGURE 1 in Morphological variation of Jovibarba heuffelii (Crassulaceae) in the central Balkan Peninsula-The impact of geological, orographical and bioclimatic factors on the differentiation of populations
FIGURE 1. Distribution of the population of J. heuffelii in Serbia, Macedonia, Bulgaria and Romania studied here. (see Table 1 for details.).
FIGURE 6 in Morphological variation of Jovibarba heuffelii (Crassulaceae) in the central Balkan Peninsula-The impact of geological, orographical and bioclimatic factors on the differentiation of populations
FIGURE 6. Results of canonical discriminant analysis (CDA) based on 34 quantitative morphological characters where the type of substrate was used as a categorical variable.
Excel Spreadsheet of data for CPBS Report 23UNM04 - Understanding External Factors and Workload's Impact on Cyclist Safety
<p>Excel spreadsheet data.</p>
Global process-based characterization factors of soil carbon depletion for life cycle impact assessment
<p>The dataset includes all the Life Cycle Impact Assessment (LCIA) Characterization Factors (CFs) for the Soil Organic Carbon (SOC) depletion indicator produced by Teixeira, R.F.M., Morais, T.G., Domingos, T. 2021. Global process-based characterization factors of soil carbon depletion for life cycle impact assessment.</p> <p> </p> <p>The dataset is divided by type of CF. The results (files) included in each file is:</p> <ul> <li><strong>SOC_dynamics.zip</strong>: includes all the used SOC dynamics for calculate the CFs (it includes transitions for crop, forest, grassland and urban LU classes).</li> </ul> <ul> <li><strong>Raster_Background_Occupation.zip</strong>: includes spatial data (rasters at “tif” format) for Occupation CFs per aggregated land use flow according Table 1 of the paper at country-level.</li> </ul> <p>For example, the raster “Occ_background_Agriculture.tif” has the CFs for the land use class “Agriculture”.</p> <ul> <li><strong>Raster_background_Transformation.zip</strong>: includes spatial data (rasters at “tif” format) for Transformation CFs per aggregated land use flow according Table 1 of the paper at country-level.</li> <li><strong>Table_CFs_background.xlsx</strong>: Includes, at Excel table, the Occupation and Transformation Characterization Factors that were included in “Raster_background_ Occupation.zip” and “Raster_background_Transformation.zip”</li> <li><strong>Raster_Foreground_Occupation.zip</strong>: includes spatial data (rasters at “tif” format) for Occupation CFs per unique land use flow according Table 2 of the paper at unique homogenous territorial unit (about 17,200 unique region).</li> </ul> <p>For example, the raster “Occ_foreground_Irrigated_Potatoes.tif” has the CFs for the land use class “Irrigated potatoes”.</p> <ul> <li><strong>Raster_ Foreground _Transformation.zip</strong>: includes spatial data (rasters at “tif” format) for Transformation CFs per unique land use flow according Table 2 of the paper at unique homogenous territorial unit (about 17,200 unique region).</li> <li><strong>Table_CFs_foreground.xlsx: </strong>Includes, at Excel table, the Occupation and Transformation Characterization Factors that were included in “Raster_Foreground_Occupation.zip” and “Raster_ Foreground _Transformation.zip”</li> <li><strong>LCIA_OpenLCA_file.zip</strong>: includes the Background Characterization Factors to be imported as an LCIA methods for the Product Environmental Footprint database in OpenLCA software</li> </ul>
Supplemental materials for: Current pubertal development in Chinese children and the impact of overnutrition, lifestyle and perinatal factors
<p><strong>Context: </strong>Pubertal onset has been decreasing in many countries but there has been no data on pubertal development in Chinese children over the last decade.</p> <p><strong>Objective: </strong>The primary objective of the study was to evaluate the current status of sexual maturation in Chinese children and adolescents. Secondary objectives were to examine socio-economic, lifestyle and auxological associations with pubertal onset.</p> <p><strong>Design: </strong>A national, cross-sectional health survey.</p> <p><strong>Setting: </strong>The community-based setting.</p> <p><strong>Participants: </strong>A multistage, stratified cluster random sampling method was used to select a nationally representative sample, consisting of 231,575 children and adolescents(123,232 boys and 108,343 girls) between 2017 and 2019.</p> <p><strong>Main Outcome Measure: </strong>Growth parameters and pubertal staging were assessed by physical examination.</p> <p><strong>Results: </strong>Compared to 10 years previously the median age of Tanner 2 breast development and menarche were similar at 9.65 years and 12.39 years respectively. However, male puberty occurred earlier with a median age of testicular volume ≥4 ml of 10.65 years. Pubertal onset did occur earlier at the extremes with 3.3% of the girls with breast development between 6.5-6.99 years old increasing to 5.8% by 7.5-7.99 years old. Early pubertal onset was also noted in boys, with a testicular volume ≥ 4 ml noted in 1.5% between 7.5-7.99 years increasing to 3.5% between 8.5-8.99 years old. Obesity and overweight increased the risk of developing earlier puberty compared to the normal weight in both boys and girls.</p> <p><strong>Conclusions: </strong>Over the past decade, pubertal development is occurring earlier in Chinese children. While the cause is multifactorial, overweight and obesity are associated with earlier puberty onset. The currently-used normative pubertal data of precocious puberty may not be applicable to diagnose precocious puberty.</p>
IBIF: Intactness-based biodiversity impact factors
<p>The intactness-based biodiversity impact factors (IBIF) dataset contains a set of consistent country-level biodiversity impact factors (BIFs) that can be used to attribute losses in local terrestrial biodiversity intactness to emissions and extractions associated with production and consumption. The BIFs were obtained with the global biodiversity model GLOBIO, which quantifies local biodiversity intactness based on the mean species abundance (MSA) indicator. IBIF (v2) contains BIFs for five environmental pressures (CO<sub>2</sub> emissions, NH<sub>3</sub> emissions, NO<sub>x</sub> emissions, land use (five categories) and roads) for 234 countries. </p>
The Impact of Consumption of Eggs in the Context of Plant-Based Diets on Endothelial Function, Diet Quality, and Cardio-Metabolic Risk Factors in Adults at Risk for Type 2 Diabetes
ClinicalTrials.gov study NCT04316429. IPD Sharing: UNDECIDED. Countries: 1. Publications: 22.
Understanding Lung Cancer Related Risk Factors and Their Impact
ClinicalTrials.gov study NCT06473870. IPD Sharing: NO. Countries: 3. Publications: 25.
Eating Difficulties in HNC Patients - Influencing Factors and Short and Long Term Impacts on PF and Depression
ClinicalTrials.gov study NCT03883152. IPD Sharing: NO. Countries: 1. Publications: 19.
To Observe the Impacts of Anti-Tumor Necrosis Factor (TNF) Effectiveness on Improvement in Work Place and Household Productivity for Patients With Psoriatic Arthritis (PsA)
ClinicalTrials.gov study NCT02028169. IPD Sharing: Not stated. Countries: 0. Publications: 1.
Optimizing the Impact of the Healthy School Recognized Campus Program on Youth's CVD Risk Factors
ClinicalTrials.gov study NCT05977959. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Factors Associated With PSA False Negative and False Positive Results and the Impact on Patient's Health.
ClinicalTrials.gov study NCT03978299. IPD Sharing: Not stated. Countries: 1. Publications: 4.
Impact of Periodontal Treatment on Growth Differentiation Factor-15 Levels
ClinicalTrials.gov study NCT05720481. IPD Sharing: YES. Countries: 1. Publications: 1.
The Dortmund Vital Study: Impact of Biological and Lifestyle Factors on Cognitive Performace and Work Ability
ClinicalTrials.gov study NCT05155397. IPD Sharing: YES. Countries: 1. Publications: 28.
Impact of the DROP Program on the DRP (Drug Related Problems) Related to Oral Anticancer Drugs in Ambulatory Patients with Risk Factors
ClinicalTrials.gov study NCT03257969. IPD Sharing: NO. Countries: 1. Publications: 1.
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Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
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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.