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305 results for “residential”

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zenodo40/100

Figure 7 A-E in Ocean pathways and residential foraging locations for satellite tracked green turtles breeding at French Frigate Shoals in the Hawaiian Islands

Figure 7 A-E. Home ranges for four females and one male green turtle that migrated to Kahului, Maui from French Frigate Shoals. Large colored circles indicate 1 km radius around each position. Black circles indicate positions with LC 1, 2 or 3 data. Black lines outline the Minimum Convex Polygons for Minimum Home Range and Full Home Range areas.

opencc-by-4.0Dec 2017View details →
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Figure 3A-F. Migration pathways from French Frigate Shoals breeding site for 15 females and 2 in Ocean pathways and residential foraging locations for satellite tracked green turtles breeding at French Frigate Shoals in the Hawaiian Islands

Figure 3A-F. Migration pathways from French Frigate Shoals breeding site for 15 females and 2 males. The release location is shown with an open star and final tracking position is indicated by a colored circle. Year of tracking is indicated on the map.

opencc-by-4.0Dec 2017View details →
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Figure 10 A-C in Ocean pathways and residential foraging locations for satellite tracked green turtles breeding at French Frigate Shoals in the Hawaiian Islands

Figure 10 A-C. Home ranges for two females and one male green turtle at the Laniakea, O'ahu foraging area prior to their migration to French Frigate Shoals. Large colored circles indicate 1 km radius around each position. Black circles indicate positions with LC 1, 2 or 3 data. Black lines outline the Minimum Convex Polygons for Minimum Home Range areas. Male 23474 moved to Kāne'ohe Bay after initially returning to Laniakea.

opencc-by-4.0Dec 2017View details →
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Figure 6A-D in Ocean pathways and residential foraging locations for satellite tracked green turtles breeding at French Frigate Shoals in the Hawaiian Islands

Figure 6A-D. Home ranges for four female green turtles that migrated to Kāne'ohe, O'ahu from French Frigate Shoals. Large colored circles indicate 1 km radius around each position. Black circles indicate positions with LC 1, 2 or 3 data. Black lines outline the Minimum Convex Polygons for Minimum Home Range and Full Home Range areas. Two Minimum Home Ranges are indicated for female 4801_92 in Figure 6B.

opencc-by-4.0Dec 2017View details →
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Figure 2 in Ocean pathways and residential foraging locations for satellite tracked green turtles breeding at French Frigate Shoals in the Hawaiian Islands

Figure 2. Composite view of the ocean pathways by the 20 green turtles tracked during their breeding migrations linked to the colonial nesting site of French Frigate Shoals. Turtles were randomly selected for satellite tagging between 1992-2014.

opencc-by-4.0Dec 2017View details →
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Figure 1 in Ocean pathways and residential foraging locations for satellite tracked green turtles breeding at French Frigate Shoals in the Hawaiian Islands

Figure 1. Hawaiian Archipelago located in an isolated region of the Central North Pacific. Colonial breeding by green turtles in abundance occurs at the mid-point location of French Frigate Shoals (Balazs et al 2015)

opencc-by-4.0Dec 2017View details →
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Resources for "BMF CP 85: Childhood residential proximity to the coast, nature connectedness, and peace of mind"

<p><span>The current study is conducted to examine the following research questions:</span></p> <ul> <li><span>How are the residential proximity to the coast during childhood and nature connectedness associated with peace of mind when visiting the coast?</span></li> <li><span>Does the residential proximity to the coast during childhood moderate the relationship between nature connectedness and peace of mind when visiting the coast?</span></li> <li><span>How is the peace of mind associated with improved thinking when visiting the coast?</span></li> </ul>

opencc-by-4.0Sep 2024View details →
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An Urban Scheme for the ECMWF Integrated Forecasting System: Global Forecasts and Residential CO2 Emissions - Dataset

<p>These data support the journal article : An Urban Scheme for the ECMWF Integrated Forecasting System: &nbsp;Global Forecasts and Residential CO2 Emissions (Journal of Advances in Modeling Earth Systems).</p> <p>The files provided are as follows:</p> <p>SITE_RMSE* - These files provided the computed RMSE values for SYNOP site evaluation using the control IFS and the urban IFS. Results are given for different forecast lead times, different seasons and for both 2 m and 10 m wind speed.&nbsp;</p> <p>DIURNAL* - These files provide the diurnal 2 m temperature output from the model and the comparison of those with observations.</p> <p>For more information please contact or access to alternative data related to the publication please contact:&nbsp;joe.mcnorton@ecmwf.int</p> <p>&nbsp;</p>

opencc-by-4.0Jul 2022View details →
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Data Sources for Archetype-based Energy and Material Use Estimation for the Residential Buildings in Arab Gulf Countries

<p><strong>Dataset Name:</strong><br> <em>Literature Data&nbsp;and Archetype Parameter Sheets for the publication, named&nbsp;Archetype-based Energy and Material Use Estimation for the Residential Buildings in Arab Gulf Countries</em>.</p> <p><strong>Description:</strong><br> This dataset includes Excel sheets containing literature sources and archetypal data on GCC countries&#39; residential dwelling typologies.</p> <p><strong>Files:</strong><br> The following files are included in the dataset:</p> <ul> <li>&nbsp;&nbsp; &nbsp;<em>[CountryName]_LiteratureSources.xlsx:</em> Excel sheet containing literature sources and references,</li> <li>&nbsp;&nbsp; &nbsp;<em>[CountryName]_ArchetypeParameters.xlsx</em>: Archetype models&#39; semantic, geometric, and technical data used in the generation of energy models,</li> <li>&nbsp;&nbsp; &nbsp;<em>[CountryName]_Schedules.xlsx:</em> Excel sheet containing the operation schedules for countries.&nbsp;The sheet is compiled&nbsp;from literature sources and reorganized by expert consensus and given in Designbuilder input format,</li> <li>&nbsp;&nbsp; &nbsp;<em>[CountryName]_Stock.xlsx:</em> Excel sheet containing additional data on the building stock,</li> <li><em>&nbsp; &nbsp; VacantHouses.xlsx</em>: Vacant house rates for the countries, the found articles on the web, literature sources, etc.,</li> </ul> <p><strong>Usage:</strong><br> The dataset is intended for researching and analyzing the GCC countries&#39; residential buildings. The literature sources included in the [CountryName]_LiteratureSources.xlsx and&nbsp;[CountryName]_ArchetypeParameters.xlsx files can be used to verify, support, or reproduce the research findings.</p> <p><strong>License:</strong><br> The dataset is licensed under Creative Commons Attribution 4.0 International.</p> <p><strong>Citation:</strong><br> If you use this dataset in your research, please cite it as follows and contact the corresponding author:</p> <p>Akin, Sahin, Chibuikem Chrysogonus Nwagwu, Niko Heeren, and Edgar Hertwich. 2023. &ldquo;Archetype-Based Energy and Material Use Estimation for the Residential Buildings in Arab Gulf Countries.&rdquo; Energy and Buildings 298: 113537. https://doi.org/https://doi.org/10.1016/j.enbuild.2023.113537.</p> <p><strong>Contact:</strong><br> The archetypes&#39; energy models (DesignBuilder or IDF files) can be provided on request. If you have any questions or comments about the dataset, please contact <strong>sahin.akin@ntnu.no, the corresponding author.</strong></p>

opencc-by-4.0May 2023View details →
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Time Series Measurement Data of Residentials | Jabodetabek Regions Indonesia – 220|230 Volt (1300|2200|3300|4400|5500) VA

<p>Time Series Measurement Data of Residentials | Jabodetabek Regions Indonesia &ndash; Voltage rating from 220|230|400 Volt within Power Contract/Limiter of (1300|2200|3300|4400|5500) VA.<br> The data was collected with Standardized EDMI Read Head Optical Read Head for Data Communication (FLAG IEC-62056-21) within 5, 10, and 15 minutes. The data were then levelized into 1 minute for computation needs through the interpolation method.</p> <p>The data consist&nbsp;of Apparent Power (S, kVA) and Time (in minutes) within one-phase measurement, representing the behavioral patterns and social practices around load consumption in the rural, semi-urban, and urban areas of Jabodetabek.</p>

opencc-by-4.0Apr 2022View details →
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Figure 8a–b in Abundance and Seasonal Occurrence of Pest Fruit Flies (Diptera: Tephritidae) in Residential and Rural Areas of Oahu (Hawaiian Islands)

Figure 8a–b. Mean captures of female C. capitata per trap per week in torula yeast traps at different sites (a), in different habitats (a, insert graph), and as monthly means throughout the trapping periods in different habitats (b). Values with the same letter in insert graph are not significantly different at the 0.05 level (Tukey's test, post ANOVA). F = 315.75; df = 6,27535; P &lt;0.001; r2 = 6.44%; n = 228 (coffee), 2514 (gardens), 1807 (NW Oahu), 13230 (residential), 1658 (rural), 5630 (urban), 2475 (Waialua).

opencc-by-4.0Dec 2014View details →
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Figure 4a–b in Abundance and Seasonal Occurrence of Pest Fruit Flies (Diptera: Tephritidae) in Residential and Rural Areas of Oahu (Hawaiian Islands)

Figure 4a–b. Mean captures of female B. cucurbitae per trap per week in torula yeast traps at different sites (a), in different habitats (a, insert graph), and as monthly means throughout the trapping periods in different habitats (b). Values with the same letter in insert graph are not significantly different at the 0.05 level (Tukey's test, post ANOVA). F = 2897.68; df = 5,27536; P &lt;0.001; r2 = 34.48%; n = 2514 (gardens), 1807 (NW Oahu), 13230 (residential), 1886 (rural), 5630 (urban), 2475 (Waialua).

opencc-by-4.0Dec 2014View details →
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Figure 3a–b in Abundance and Seasonal Occurrence of Pest Fruit Flies (Diptera: Tephritidae) in Residential and Rural Areas of Oahu (Hawaiian Islands)

Figure 3a–b. Mean captures of male B. cucurbitae per trap per week in cue-lure traps at different sites (a), in different habitats (a, insert graph), and as monthly means throughout the trapping periods in different habitats (b). Values with the same letter in insert graph are not significantly different at the 0.05 level (Tukey's test, post ANOVA). F = 5453.02; df = 5,18128; P &lt;0.001; r2 = 60.06%); n = 2514 (gardens), 1807 (NW Oahu), 8879 (residential), 1720 (rural), 739 (urban), 2475 (Waialua).

opencc-by-4.0Dec 2014View details →
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Figure 7a–b in Abundance and Seasonal Occurrence of Pest Fruit Flies (Diptera: Tephritidae) in Residential and Rural Areas of Oahu (Hawaiian Islands)

Figure 7a–b. Mean captures of male C. capitata per trap per week in trimedlure traps at different sites (a), in different habitats (a, insert graph), and as monthly means throughout the trapping periods in different habitats (b). Values with the same letter in insert graph are not significantly different at the 0.05 level (Tukey's test, post ANOVA). F = 586.20; df = 6,18127; P &lt;0.001; r2 = 16.25%; n = 228 (coffee), 2514 (gardens), 1807 (NW Oahu), 8879 (residential), 1492 (rural), 739 (urban), 2475 (Waialua).

opencc-by-4.0Dec 2014View details →
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Figure 2a–f in Abundance and Seasonal Occurrence of Pest Fruit Flies (Diptera: Tephritidae) in Residential and Rural Areas of Oahu (Hawaiian Islands)

Figure 2a–f. Overall mean (±SE) monthly captures of male B. cucurbitae in cue-lure traps (a), female B. cucurbitae in protein traps (b), male B. dorsalis in methyl eugenol traps (c), female B. dorsalis in protein traps (d), male C. capitata in trimedlure traps (e), and female C. capitata in protein traps, based on all trapping sites maintained on Oahu between April 2009 and December 2013.

opencc-by-4.0Dec 2014View details →
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Figure 9a–c in Abundance and Seasonal Occurrence of Pest Fruit Flies (Diptera: Tephritidae) in Residential and Rural Areas of Oahu (Hawaiian Islands)

Figure 9a–c. Correlation between mean monthly captures of female flies in protein traps and males in male lure traps for B. cucurbitae (a), B. dorsalis (b), and C. capitata (c).

opencc-by-4.0Dec 2014View details →
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Figure 6a–b in Abundance and Seasonal Occurrence of Pest Fruit Flies (Diptera: Tephritidae) in Residential and Rural Areas of Oahu (Hawaiian Islands)

Figure 6a–b. Mean captures of female B. dorsalis per trap per week in torula yeast traps at different sites (a), in different habitats (a, insert graph), and as monthly means throughout the trapping periods in different habitats (b). Values with the same letter in insert graph are not significantly different at the 0.05 level (Tukey's test, post ANOVA). F = 447.43; df = 5,27536; P &lt;0.001; r2 = 7.51%; n = 2514 (gardens), 1807 (NW Oahu), 13230 (residential), 1886 (rural), 5630 (urban), 2475 (Waialua).

opencc-by-4.0Dec 2014View details →
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Figure 5a–b in Abundance and Seasonal Occurrence of Pest Fruit Flies (Diptera: Tephritidae) in Residential and Rural Areas of Oahu (Hawaiian Islands)

Figure 5a–b. Mean captures of male B. dorsalis per trap per week in methyl eugenol traps at different sites (a), in different habitats (a, insert graph), and as monthly means throughout the trapping periods in different habitats (b). Values with the same letter in insert graph are not significantly different at the 0.05 level (Tukey's test, post ANOVA). F = 1459.54; df = 5,18128; P &lt;0.001; r2 = 28.70%; n = 2514 (gardens), 1807 (NW Oahu), 8879 (residential), 1720 (rural), 739 (urban), 2475 (Waialua).

opencc-by-4.0Dec 2014View details →
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Residential segregation by income in Spanish municipalities

<p>These&nbsp;databases contain a set of residential segregation values for several municipalities of Spain. On the basis of&nbsp;data on the income distribution of most municipalities provided by the Instituto Nacional de Estad&iacute;stica for the years 2015-2020, the databases contain the values of the Dissimilarity Index for all cities, towns and villages&nbsp;with two or more census tracts. Each database corresponds to the segregation of two different population groups: the segregation of the population below the poverty line versus the rest of the population; and the segregation of households with income above 200% of the median income versus the rest of the population. Original raw data can be extracted <a href="https://www.ine.es/dyngs/INEbase/operacion.htm?c=Estadistica_C&amp;cid=1254736177088&amp;menu=resultados&amp;idp=1254735976608">here</a>. The data of these databases was&nbsp;displayed in the <a href="https://javiersanmillan.shinyapps.io/SegregacionEspana/">website of the author</a>, and the code for creating the databases can be consulted <a href="https://github.com/javisanmillan/VisorSegregacionEspana">here</a>.</p>

opencc-by-4.0Aug 2023View details →
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A rich dataset of hourly residential electricity consumption data and survey answers from the iFlex dynamic pricing experiment

<p>An experiment was conducted to understand if and how households change their power consumption in response to variable hourly electricity prices. The data were collected from several Norwegian regions, and various price signals were tested over two winter periods from early 2020 to spring 2021. The dataset includes hourly consumption data of all participating households and answers to three surveys about household characteristics such as electric appliances, living conditions, socio-demographic variables, and willingness to be flexible. Temperature data are added to the dataset from public sources. This comprehensive dataset can be used for in-depth analysis of household flexibility potential. Furthermore, subgroups, such as low-income households or highly electrified households with electricity as a primary heating source, can be investigated to enhance the understanding of how these are affected by variable power prices.</p> <p>The dataset is described in detail in an accompanying data article in Data in Brief: <a href="https://www.sciencedirect.com/science/article/pii/S2352340923006716">A rich dataset of hourly residential electricity consumption data and survey answers from the iFlex dynamic pricing experiment - ScienceDirect</a></p> <p>Supplementary figures containing the survey results are available here: <a href="../records/11580541">Supplementary result diagrams from household surveys on implicit demand response (zenodo.org)</a></p> <p>Survey answers in Norwegian are available here: <a href="https://zenodo.org/records/15063303">iFleks-prosjekt: Sp&oslash;rreunders&oslash;kelser med husholdninger og n&aelig;ringsliv om forbruksrespons p&aring; elektrisitetspriser</a></p>

opencc-by-4.0Mar 2023View details →

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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.

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