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1,902 results for “consumption”
Fig. 1 in Diet and food consumption of the pearl cichlid Geophagus brasiliensis (Teleostei: Cichlidae): relationships with gender and sexual maturity
Fig. 1. Coastal plain of Rio Grande do Sul in southern Brazil showing the Patos-Mirim lagoon complex (a) and the location of the four sampling sites where the specimens of the pearl cichlid Geophagus brasiliensis were collected (b).
Fig. 3. a in Diet and food consumption of the pearl cichlid Geophagus brasiliensis (Teleostei: Cichlidae): relationships with gender and sexual maturity
Fig. 3. a: Percentage of empty stomachs (PES) according to sexual maturity (immature and mature) and gender (female and male). b: Mean values (+ standard error) of the total food content expressed in volume (log10(x+1) transformed) in the digestive tract of the pearl cichlid Geophagus brasiliensis.
Fig. 2 in Diet and food consumption of the pearl cichlid Geophagus brasiliensis (Teleostei: Cichlidae): relationships with gender and sexual maturity
Fig. 2. Volume (%, black bars) and frequency of occurrence (%, gray bars) of the main food categories found in the digestive tracts of the pearl cichlid Geophagus brasiliensis.
Categorical variables based on cross country household survey on energy consumption
<p>The data used in this file was collected via two large-scale surveys conducted in Italy, Switzerland and the Netherlands. A total of 6,138 responses were recorded, containing information on socio-demographic and socio-psychological characteristics, dwelling and household characteristics, technologies and energy services used, and their metered electricity consumption. There were a large number of missing responses for metered electricity consumption in the Netherlands, leading to an under-representation of data from this country. The survey responses were used to construct newly defined energy efficiency indicators, and energy service indicators. This allows two distinct factors to be separated: service consumption, and energy efficiency relative to the demanded service. Firstly, dwelling characteristics and survey responses related to energy services (e.g. floorspace, ownership of specific appliances and number of lightbulbs), were regressed to the collected metered electricity data. For each household, this allowed us to calculate the expected lighting and appliance electricity demand based on the level service that the household demanded, which is referred to as lighting and appliance service demand indicators. The idea is that a larger house, or a house with more appliances for example is expected to use more electricity. Relative to this expected electricity demand energy efficiency can be calculated. All variables are categorised in categorical variables deducted based on the questions asked in the two surveys. The survey responses were clustered based on the lighting service demand, appliance service demand and the efficiency gap (k-means clustering with Jaccard dissimilarity measure) which is described in Edelenbosch, Miu et al (2022). Translating observed household energy behaviour to agent-based technology choices in an integrated modelling framework. <em>Iscience</em> (accepted).</p>
Fig. 2 in Diet, Prey Selection and Biomass Consumption of the Great Cormorant (Phalacrocorax carbo) in Algeria
Fig. 2. Monthly variation of the biomass of consumed fish by the great cormorant in Beni Haroun Dam Lake in Algeria.
Seasonal analysis comparison of three air-cooling systems in terms of thermal comfort, air quality and energy consumption for school buildings in Mediterranean climates
<p>Efficient air-cooling systems for hot climatic conditions, such as Southern Europe, are required in the context of nearly Zero Energy Buildings, nZEB. Innovative air-cooling systems such as regenerative indirect evaporative coolers, RIEC and desiccant regenerative indirect evaporative coolers, DRIEC, can be considered an interesting alternative to direct expansion air-cooling systems, DX. The main aim of the present work was to evaluate the seasonal performance of three air-cooling systems in terms of air quality, thermal comfort and energy consumption in a standard classroom. Several annual energy simulations were carried out to evaluate these indexes for four different climate zones in the Mediterranean area. The simulations were carried out with empirically validated models. The results showed that DRIEC and DX improved by 29.8% and 14.6% over RIEC regarding thermal comfort, for the warmest climatic conditions, Lampedusa and Seville. However, DX showed an energy consumption three and four times higher than DRIEC for these climatic conditions, respectively. RIEC provided the highest percentage of hours with favorable indoor air quality for all climate zones, between 46.3% and 67.5%. Therefore, the air-cooling systems DRIEC and RIEC have a significant potential to reduce energy consumption, achieving the user’s thermal comfort and improving indoor air quality.</p>
Pharmaceutical advertising and the consumption of over the counter (OTC) medicines in users of the Superfar drugstore in Barrios Altos - Cercado de Lima, 2022.
<p>To determine the relationship between pharmaceutical advertising and the consumption of over-the-counter (OTC) medicines in users of the SUPERFAR drugstore in barrios altos -cercado de lima, 2022.</p>
Fuel Consumption Patterns linked to Evolution of India's PM2.5 Pollution Between 1998 and 2020
<p>These datasets are part of Supplementary information for the journal article<br> "<a href="https://doi.org/10.1039/D2EA00027J">Evolution of India’s PM2.5 Pollution Between 1998 and 2020 Using Global Reanalysis Fields Coupled with Satellite Observations and Fuel Consumption Patterns</a>"</p> <p>Pollution data summaries are listed <a href="https://doi.org/10.5281/zenodo.7115052">here</a>.<br> <a href="https://doi.org/10.5281/zenodo.7115052">https://doi.org/10.5281/zenodo.7115052</a></p> <p>Fuel consumption and activity data over the years is collected from indiastats.<br> Excel files include absolute activity data.<br> Figures are showing the ratio to year 2000 for each of the categories<br> Individual figures are included in the power point for reference and use.<br> Individual figures are also included in the respective excel files</p> <p>Files listed below</p> <ol> <li>coal.consumption.total.xlsx (total coal)</li> <li>electricity.consumption.xlsx (industry, domestic, railways, agriculture, commercial, and total)</li> <li>fuel.consumption.xlsx (LPG, petrol, diesel, kerosene, ATF, others, and petcoke)</li> <li>pass.freight.movement.xlsx (freight as tonne/km and passenger as pass/km)</li> <li>vehicle.registrations.xlsx (2-wheelers+4-wheelers, buses, freight, and all vehicles)</li> </ol>
Figure 4 in Daily consumption and functional response of Stethorus gilvifrons (Coleoptera: Coccinellidae) and Orius albidipennis (Hemiptera: Anthocoridae) to Tetranychus urticae (Acari: Tetranychidae)
Figure 4. Proportion of T. urticae eggs consumed by adults of: a) O. albidipennis, b) S. gilvifrons, when provided by different prey densities.
Figure 3 in Daily consumption and functional response of Stethorus gilvifrons (Coleoptera: Coccinellidae) and Orius albidipennis (Hemiptera: Anthocoridae) to Tetranychus urticae (Acari: Tetranychidae)
Figure 3. Proportion of T. urticae eggs consumed by immatures of: a) O. albidipennis, b) S. gilvifrons, when provided by different prey densities.
Figure 2 in Daily consumption and functional response of Stethorus gilvifrons (Coleoptera: Coccinellidae) and Orius albidipennis (Hemiptera: Anthocoridae) to Tetranychus urticae (Acari: Tetranychidae)
Figure 2. Proportion of T. urticae protonymphs consumed by different life stages of: a) O. albidipennis, b) S. gilvifrons, when provided by different prey densities.
Figure 1 in Daily consumption and functional response of Stethorus gilvifrons (Coleoptera: Coccinellidae) and Orius albidipennis (Hemiptera: Anthocoridae) to Tetranychus urticae (Acari: Tetranychidae)
Figure 1. Proportion of T. urticae females consumed by different life stages of: a) O. albidipennis, b) S. gilvifrons, when provided by different prey densities.
Office Device Consumption
<p>List of office device (PC, monitor etc) consumption data for a month period (summer)</p>
Heat Consumption Dataset
<p>Heat Consumption Dataset for a full operational period</p>
[Supporting Information] Are Peruvians moving towards healthier diets with lower environmental burden? Household consumption trends for the period 2008-2021
<p>Supporting information from the manuscript: <em>Are Peruvians moving towards healthier diets with lower environmental burden? Household consumption trends for the period 2008-2021</em>. The main goal of this study was to comprehensively analyze the evolution in diet quality in Peru in the period 2008-2021 based on apparent household purchases extracted from the National Household Survey (ENAHO, by its acronym in Spanish). Furthermore, this study identified patterns in the temporal and spatial variability of food consumption, differences in consumption based on poverty levels, and gaps in achieving consumption levels of macronutrients and calories recommended by international nutritional authorities.</p> <p>dataset1: contains the consumption of 96 food products in kg/person/year per household, for a time horizon from 2008 to 2021.</p> <p>dataset2: contains the caloric and macronutrient content in kcal or g macronutrient per 100g of 92 food items.</p> <p>dataset3: contains the consumption of calories, and macronutrients in g/person/day per household, for a time horizon from 2008 to 2021.</p> <p>dataset1_labels: contains the data dictionary of dataset1</p> <p>dataset2_labels: contains the data dictionary of dataset2</p> <p>dataset3_labels: contains the data dictionary of dataset3</p> <p> </p>
Comparability and Reproducibility in HPC Applications' Energy Consumption Characterization
<p>The computational power of HPC systems continues to grow, and improving their energy efficiency is a critical issue for the field in the face of climate change and energy crises. One major aspect of energy optimization lies in the applications run on the systems themselves. In this work, we are looking into comparing energy consumption between different systems using a characterization process based on the recent energy characterization paper as a reference and starting point for other data centers to assess their application’s energy patterns. We demonstrated that we could use the methods from the starting paper, replicate the findings, and extend the work to more applications and more systems. Our work acts as a proof of concept for a repository of HPC applications’ energy patterns in our future work.<br><br>This is the collection of jobscripts, data, and python scripts used in the paper.</p>
Annex 1 of "Domestic fish for more versatile and safer consumption, EU-fish IV"
<p>This file is part of Annex 1 of report "Domestic fish for more versatile and safer consumption, EU-fish IV" (to be published in September 2024 in series Publications of the Government’s analysis, assessment and research activities in Finland). The data contains results of dioxins (PCDD/F + dl-PCB), PFAS compounds, total mercury and methyl mercury, fatty acids and Vitamin D in fish samples from Finland. Details on sampling and analysis are found in the report.</p>
Fig. 1 in Mortality and food consumption in Spodoptera frugiperda (Lepidoptera: Noctuidae) larvae treated with spinosad alone or in mixtures with a nucleopolyhedrovirus
Fig. 1. Percentage (mean ± SE) of leaf area consumed per surviving Spodoptera frugiperda 3rd instar feeding either on untreated maize-leaf pieces or on maizeleaf pieces treated with spinosad (mg/L). Mortality was recorded at 72 h afer treatment. Different letters above the error bars indicate statistically significant differences based on the Kruskall-Wallis test (P <0.05).
Comparison of Drug Prescribing Before and During the COVID-19 Pandemic - A Cross-national European Study. Pharmaceuticals Consumption data
<p>Data and code supporting the article:</p> <p><strong>Comparison of Drug Prescribing Before and During the COVID-19 Pandemic - A Cross-national European Study </strong></p> <p>Prescription data from January 2017 to March 2021 for the Czech Republic, Germany, Lithuania, Slovenia, Spain (Catalonia), Sweden, and the United Kingdom (Scotland).<br>Data include the codes of the Anatomical-Therapeutic-Chemical classification (ATC) and corresponding numbers of dispensed defined daily doses (DDDs) and packs, aggregated by country, month and ATC.</p> <p>For more information, see the accompanying document ReadMe.txt.</p>
Fig. 1 in Short communication An evidence of asp viper (Vipera aspis) consumption by a western European hedgehog (Erinaceus europaeus) on Elba Island (Italy)
Fig. 1 - Map of Italy. The red arrow points to the Elba Island. / Mappa d'Italia. La freccia rossa indica l'Isola d'Elba. (Google Earth. Data SIO, NOAA, U.S. Navy, NGA, GEBCO. Image Landsat / Copernicus).
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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.