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4,230 results for “Energie”
Data for: Environment-dependent relationships between corticosterone and energy expenditure during reproduction: insights from seabirds in the context of climate change
<p>We studied the relationship between baseline levels of the steroid hormone corticosterone and daily energy expenditure (DEE) in the little auk (<em>Alle alle</em>), an Arctic sea bird that is experiencing mounting energetic challenges due to climate change. We specifically investigated the hypothesis that there might be environment-dependent relationships between baseline corticosterone, DEE, time activity budgets, diving behavior and fitness-related traits (chick provisioning rate, adult body condition). Furthermore, we also examined whether mercury (Hg) contamination might interfere with corticosterone production, and hence potentially the capacity to upregulate DEE. In addition, we performed a phylogenetically controlled analysis across breeding seabird species to assess the relationship between baseline corticosterone and DEE, which we estimated via <span>a model derived from a phylogenetically controlled meta-analysis, </span><span>available within a <span>web-based app (‘Seabird FMR Calculator’, </span></span><span><a href="https://ruthedunn.shinyapps.io/seabird_fmr_calculator/"><span>https://ruthedunn.shinyapps.io/seabird_fmr_calculator/</span></a></span><span>) (Dunn et al. 2018). These datasets contain information on corticosterone levels, DEE, TABs and Hg in little auks, and the data used in our phylogenetically controlled analysis. Please see the READ me file for details.</span></p>
Dataset of historical hourly information of four european wind farms for wind energy forecasting and maintenance
<p><strong>If you use this dataset please cite this paper: Sánchez-Soriano, J.; Paniagua-Falo, P.J.; Gómez Muñoz, C.Q. Historical Hourly Information of Four European Wind Farms for Wind Energy Forecasting and Maintenance. Data 2025, 10, 38. <a href="https://doi.org/10.3390/data10030038" target="_blank" rel="noopener">https://doi.org/10.3390/data10030038</a></strong></p> <p>For an electric company, having an accurate forecast of the expected electrical production and maintenance from its wind farms is crucial. This information is essential for operating in various existing markets such as Iberian Energy Market Operator - Spanish Hub (OMIE in its Spanish acronym), Portuguese Hub (OMIP in its Spanish acronym), and Iberian electricity market between the Kingdom of Spain and the Portuguese Republic (MIBEL in its Spanish acronym), among others. The accuracy of these forecasts is vital for estimating the costs and benefits of the handling of electricity. This article explains the process of creating the complete dataset, which includes the acquisition of the hourly information of four European wind farms as well as a description of the structure and content of the dataset which amounts to 2 years of hourly information. The wind farms are in three countries, two from Auvergne-Rhône-Alpes (France), Aragon (Spain) and the Piemonte region (Italy). The presented dataset is available and accessible to improve the forecasting and management of wind farms, especially for the detection of faults and the elaboration of a preventive maintenance plan.</p> <p>The full description of the characteristics of the dataset, as well as its components, format and methodology, can be found here: "Historical Hourly Information of Four European Wind Farms for Wind Energy Forecasting and Maintenance". Data 2025, 10, 38. <a href="https://doi.org/10.3390/data10030038" target="_blank" rel="noopener">https://doi.org/10.3390/data10030038</a></p>
FIGURE 12 in Tracking biases in the regular echinoid fossil record: The case of Paracentrotus lividus in recent and fossil shallow-water, high-energy environments
FIGURE 12. Relative abundance of Paracentrotus lividus spine remains. A, Is Mesas (Pleistocene-Bulk sample). B, Sa Mesa Longa Beach (Recent-Surface collection). C, Sa Mesa Longa Beach (Bulk sample). N = number of counted specimens.
FIGURE 13 in Tracking biases in the regular echinoid fossil record: The case of Paracentrotus lividus in recent and fossil shallow-water, high-energy environments
FIGURE 13. Biostratinomic signatures (abrasion and encrustation) of spine remains. A, Is Mesas (Pleistocene-Bulk sample). B, Sa Mesa Longa Beach (RecentSurface collection). C, Sa Mesa Longa Beach (RecentBulk sample). N = number of counted specimens
FIGURE 11 in Tracking biases in the regular echinoid fossil record: The case of Paracentrotus lividus in recent and fossil shallow-water, high-energy environments
FIGURE 11. Distribution of ambulacral and interambulacral plates in the two sediment fractions (> 2 mm and 1-2 mm) investigated herein. N = number of counted specimens.
FIGURE 9 in Tracking biases in the regular echinoid fossil record: The case of Paracentrotus lividus in recent and fossil shallow-water, high-energy environments
FIGURE 9. Relative abundance of Paracentrotus lividus test remains. A, Is Mesas (Pleistocene-Bulk sample). B, Sa Mesa Longa Beach (Recent-Surface collection). C, Sa Mesa Longa Beach (Bulk sample). N = number of counted specimens.
FIGURE 10 in Tracking biases in the regular echinoid fossil record: The case of Paracentrotus lividus in recent and fossil shallow-water, high-energy environments
FIGURE 10. Biostratinomic signatures (fragmentation, abrasion and encrustation) of echinoid test remains. A, Is Mesas (Pleistocene-Bulk sample). B, Sa Mesa Longa Beach (Recent-Surface collection). C, Sa Mesa Longa Beach (Recent-Bulk sample). N = number of counted specimens. Numbers (1-11) are explained in Figure 9. Colors: dark grey, light grey and black represent fragmentation, abrasion and encrustation, respectively.
FIGURE 6. A in Tracking biases in the regular echinoid fossil record: The case of Paracentrotus lividus in recent and fossil shallow-water, high-energy environments
FIGURE 6. A, Panoramic view of Sa Mesa Longa Beach (Central-western Sardinia). B-H, Recent remains of Paracentrotus lividus from Sa Mesa Longa. B, Complete denuded test showing encrustation by serpulids. C, Test fragment made up of several ambulacral and interambulacral plates sutured together, showing inter- and intraplate fragmentation and encrustation by coralline algae and the polychaete Spirorbis. D, Internal view of a large test fragment affected by intraplate fragmentation and encrustation by serpulid worms. E, Two interambulacral plates showing abrasion and encrustation by Spirorbis. F, Single ambulacral plates showing fragmentation (white arrow). G, Epiphysis from the jaw apparatus showing fragmentation and abrasion. H, Madreporite from the apical system affected by fragmentation (white arrow). I, Test fragment of Arbacia lixula showing intraplate fracturing. J, Complete test of Echinocyamus pusillus. B, C, D, I, J Scale bar equals 1 cm. E–H scale bars equal 0.5 cm.
FIGURE 7 in Tracking biases in the regular echinoid fossil record: The case of Paracentrotus lividus in recent and fossil shallow-water, high-energy environments
FIGURE 7. Scanning electron micrographs of suture faces in recent Paracentrotus lividus. A, Interradial suture between interambulacral plates showing galleried stereom with galleries running in aboral-oral direction. A1, Detail of the galleried stereom and collagen fibers. B, Adradial suture of interambulacral plates showing galleried stereom. B1, Detail of the parallel galleries and collagen fibers. C, Adapical suture of an interambulacral plates showing knob-like trabecular protrusions and cavities. C1, The close-up shows numerous knob-like protrusions some of which are interconnected to one another in twos, threes or more. D, Adoral suture of ambulacral plates; 1) Radial ridge at the boundary between ambulacral plates (running across perradial sutures) and 2) galleried stereom. A, B, C Scale bars equal 100 µm; A1, B1, C1 Scale bars equal 20 µm. D Scale bar equals 1 mm.
FIGURE 8 in Tracking biases in the regular echinoid fossil record: The case of Paracentrotus lividus in recent and fossil shallow-water, high-energy environments
FIGURE 8. Size-frequency distribution of the rotulae of the Aristotle's lantern both in Pleistocene deposit and recent setting. Each box-plot represents 25 and 75 percent quartile of all values, Q1 and Q3 respectively. Black line inside the box represents the median. Whiskers are drawn from Q1 and Q3 to the largest values less than 1.5 times the Interquartile range (Q1-Q3). N = number of counted specimens.
FIGURE 4. Associated fauna from levels A and B in Tracking biases in the regular echinoid fossil record: The case of Paracentrotus lividus in recent and fossil shallow-water, high-energy environments
FIGURE 4. Associated fauna from levels A and B of the Is Mesas deposit (Late Pleistocene). A, Patella caerulea. B, Diodora gibberula. C, Cerithium vulgatum. D, Hexaplex trunculus. E, Melarhaphe neritoides. F, Acanthocardia tuberculata. G, Irus irus. H, Arca noae. I, Cardita calyculata. J, Cladocora caespitosa. Scale bars equal 1 cm.
FIGURE 5 in Tracking biases in the regular echinoid fossil record: The case of Paracentrotus lividus in recent and fossil shallow-water, high-energy environments
FIGURE 5. Scanning electron micrographs of Paracentrotus remains from Is Mesas. A, Details of an ambulacral column affected by abrasion. B, Two ambulacral plates still sutured together. C, Interambulacral plate showing a cavity possibly related to bioerosion. D, Spine fragment showing fine surface details such as the crenulated milled ring and shaft striation. Scale bars equal 1 mm.
Fig. 4 in Short-term changes in energy allocation by Hemiodontidae fish after the construction of a large reservoir (Lajeado Dam, Tocantins River)
Fig. 4. Variation in feeding activity (standard residuals, regression between LS x WS), visceral fat storage, body condition (standard residuals, regression between LS x TW) and reproductive effort (GSR) of Hemiodus unimaculatus, before (Pre-1 and 2) and after (Post-1 and 2) the construction of Lajeado Dam.
Fig. 3 in Short-term changes in energy allocation by Hemiodontidae fish after the construction of a large reservoir (Lajeado Dam, Tocantins River)
Fig. 3. Variation in feeding activity (standard residuals, regression between LS x WS), visceral fat storage, body condition (standard residuals, regression between LS x TW) and reproductive effort (GSR) of Hemiodus microlepis, before (Pre-1 and 2) and after (Post-1 and 2) the construction of Lajeado Dam.
Fig. 2 in Short-term changes in energy allocation by Hemiodontidae fish after the construction of a large reservoir (Lajeado Dam, Tocantins River)
Fig. 2. Variation in feeding activity (standard residuals, regression between LS x WS), visceral fat storage, body condition (standard residuals, regression between LS x TW) and reproductive effort (GSR) of Argonectes robertsi, before (Pre-1 and 2) and after (Post-1 and 2) the construction of Lajeado Dam.
Fig. 1 in Short-term changes in energy allocation by Hemiodontidae fish after the construction of a large reservoir (Lajeado Dam, Tocantins River)
Fig. 1. Relative abundance of A. robertsi, H. microlepis, and H. unimaculatus in Pre- and Post-impoundment periods, in sites distributed along the reservoir (combined within zones: Fluvial, Transition, and Lacustrine).
Fig. 2 in Difference in reproduction energy content in muscles on fish from reservoirs in Paraná State, Brazil
Fig. 2. Spatial variation (median, quartiles, maximum and minimum values) for caloric values in kcal * g-1 dry weight of males and females of Acestrorhynchus lacustris, Apareiodon vittatus, Astyanax bifasciatus, Astyanax minor, Corydoras cf. paleatus, Geophagus brasiliensis, Hoplias aff. malabaricus, Loricariichthys platymetopon, and Satanoperca pappaterra of different trophic groups (square - detritivorous, dot - invertivorous, triangle - piscivorous, cross - omnivorous) in three reservoirs in Paraná State (KW-H = values of H of Kruskal-Wallis test - *= significant difference).
Fig. 3 in Difference in reproduction energy content in muscles on fish from reservoirs in Paraná State, Brazil
Fig. 3. Spatial variation (median, quartiles, maximum and minimum values) for condition factor of males and females of Acestrorhynchus lacustris, Apareiodon vittatus, Astyanax bifasciatus, Astyanax minor, Corydoras cf. paleatus, Geophagus brasiliensis, Hoplias aff. malabaricus, Loricariichthys platymetopon, and Satanoperca pappaterra of different trophic groups (square - detritivorous, dot - invertivorous, triangle - piscivorous, cross - omnivorous) in three reservoirs in Paraná State (KW-H = values of H of Kruskal-Wallis test - *= significant difference).
Energy Transition Strategy Based on Bioenergy Potential from Empty Fruit Bunches to Support Indonesia's New Capital in East Kalimantan
<p><strong><span>Data Source</span></strong></p> <p><span>The study of bioenergy potential of Eastern Kalimantan, INDONESIA </span></p> <p><strong><span> </span></strong></p> <p><strong><span>Journal Title</span></strong><span><span> </span>: <span> </span></span><span>Energy Transition Strategy Based on Bioenergy Potential from Empty Fruit Bunches to Support Indonesia's New Capital in East Kalimantan</span></p>
Fig. 5 in Geometric morphometric analysis of cyclical body shape changes in color pattern variants of Cichla temensis Humboldt, 1821 (Perciformes: Cichlidae) demonstrates reproductive energy allocation
Fig. 5. Relative mean GSI vs. relative mean HSI of color pattern variants of Cichla temensis. Points for GSI represent the mean value for each CPV grade as compared to the range encountered. Points for HSI represent the mean value for each CPV grade compared to the range encountered.
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.