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164 results for “Temporal profiles”
Auxiliary Euro-Calliope datasets: Spatio-temporal data representing national cooking demand and electric vehicle characteristic profiles in Europe
<p>Output generated by the <a href="https://github.com/RAMP-project/">RAMP engine</a> for use in the <a href="https://github.com/calliope-project/sector-coupled-euro-calliope">Sector-Coupled Euro-Calliope model</a>. The three datasets in this repository are described briefly here and in more detail in the accompanying README files. Each dataset has an hourly temporal resolution spanning the years 2000 - 2018 (inclusive) and a national spatial resolution spanning 26* - 28** countries in Europe. All datasets are dimensionless; only the profile shapes are used in Euro-Calliope.</p> <ul> <li>Cooking energy demand profiles (<em>ramp-cooking-profiles</em>): Profiles of heat energy demand for cooking in buildings in Europe, stochastically generated using the <a href="https://github.com/RAMP-project/RAMP">RAMP model</a> [1]. These profiles are used to distribute annual cooking energy demand in the Euro-Calliope workflow. This dataset covers 28 European countries**.</li> <li>Electric vehicle plug-in profiles (<em>ramp-ev-plugin-profiles</em>): Profiles of the percentage of parked electric vehicles, stochastically generated using the <a href="https://github.com/RAMP-project/RAMP-mobility">RAMP-Mobility model</a> [2]. These profiles are used in Euro-Calliope to define the maximum number of electric vehicles that could be plugged in and therefore available to be charged at any given time, assuming controlled (or "smart") charging. This dataset covers 26 European countries*.</li> <li>Electric vehicle energy consumption profiles (<em>ramp-ev-consumption-profiles</em>): Profiles of the electricity consumption of electric vehicles, stochastically generated using the <a href="https://github.com/RAMP-project/RAMP-mobility">RAMP-Mobility model</a> [2]. These profiles are aggregated in Euro-Calliope to provide a required percentage of total vehicle electricity demand that must be met in each month. This dataset covers 26 European countries*.</li> </ul> <p>* AUT, BEL, CHE, CZE, DEU, DNK, ESP, EST, FIN, FRA, GBR, HRV, HUN, IRL, ITA, LTU, LUX, LVA, NLD, NOR, POL, PRT, ROU, SVK, SVN, SWE</p> <p>** (*) + BGR, SRB</p> <p>*** ALB, MKD, GRC, CYP, BIH, MNE, ISL</p> <p>[1] Lombardi, Francesco, Sergio Balderrama, Sylvain Quoilin, and Emanuela Colombo. 2019. ‘Generating High-Resolution Multi-Energy Load Profiles for Remote Areas with an Open-Source Stochastic Model’. <em>Energy</em> 177 (June): 433–44. https://doi.org/10.1016/j.energy.2019.04.097.</p> <p>[2] Mangipinto, Andrea, Francesco Lombardi, Francesco Davide Sanvito, Matija Pavičević, Sylvain Quoilin, and Emanuela Colombo. 2022. ‘Impact of Mass-Scale Deployment of Electric Vehicles and Benefits of Smart Charging across All European Countries’. <em>Applied Energy</em> 312 (April): 118676. https://doi.org/10.1016/j.apenergy.2022.118676.</p>
A temporally continuous divergence and vorticity dataset in Beijing derived from the radar wind profiler mesonet during 2023
<p>A temporally continuous horizontal divergence and vertical vorticity dataset is produced by horizontal winds derived from the radar wind profilers mesonet in Beijing by applying the triangle method. This dataset covers the period of 2023 with a temporal resolution of 6-minute and a vertical resolution of 120 m. The dataset is of significance for a multitude of scientific research and applications, including air quality, convection initiation and so on. The latest version includes rain flags of triangles.</p>
Resolving single-cell expression profiles by pseudo-temporal integration of transcriptomic and proteomic datasets.
<p>Raw and processed single cell proteomics (scp-MS) and scRNA-Seq data of HEK293-PIP-FUCCI cells which were challanged with hypoxia. The repository contains data for recreating the pseudo-temporal alignment analysis of transcription-translation profiles.</p>
Data from: Exploration profiles drive activity patterns and temporal niche specialization in a wild rodent
<p>Individual niche specialization can have important consequences for competition, fitness, and ultimately population dynamics and ecological speciation. The temporal window and the level of daily activity are niche components that may vary with sex, breeding season, food supply, population density, and predator's circadian rhythm. More recently, ecologists emphasized that traits such as dispersal and space use could depend on personality differences. Boldness and exploration have been shown to correlate with variation in foraging patterns, habitat use, and home range. Here we assessed the link between exploration, measured from repeated novel environment tests, activity patterns, and temporal niche specialization in wild eastern chipmunks (<i>Tamias striatus</i>). Intrinsic differences in exploration should drive daily activity patterns through differences in energy requirements, space use, or the speed to access resources. We used collar-mounted accelerometers to assess whether individual exploration profiles predicted: (1) daily overall dynamic body acceleration, reflecting overall activity levels; (2) mean activity duration and the rate of activity sequences, reflecting the structure of daily activity; and (3) patterns of dawn and dusk activity, reflecting temporal niche differentiation. Exploration and overall activity levels were weakly related. However, both dawn activity and rate of activity sequences increased with the speed of exploration. Overall, activity patterns varied according to temporal variability in food conditions. This study emphasizes the role of intrinsic behavioral differences in activity patterns in a wild animal population. Future studies will help us understand how yearly seasonality in reproduction, food abundance, and population density modulate personality-dependent foraging patterns and temporal niche specialization.</p>
Temporal Dynamics and Demographic Profiles: Evaluating the Cultural Impact of Public Engagements with Civil War Shelters in Alicante (Spain)
<p>In the context of sustainable tourism, understanding visitors' needs and preferences is crucial for planning effective strategies that promote the conservation of historical and cultural heritage. In this regard, the quantitative analysis of survey results from visitors to Civil War air-raid shelters in Alicante, Spain, emerges as a valuable tool for gaining detailed insights that enable the planning of specific visits and events. This paper aims to explore the significance of using quantitative data in developing strategies for sustainable tourism within this particular context.</p>
Characterization of the Temporal Profile of the Anti-nociceptive Effect of Ketamine Bolus Measured With ANI
ClinicalTrials.gov study NCT06344858. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Temporal Profile of Serum Vitamin D Levels in Foot and Ankle Fusion Surgery
ClinicalTrials.gov study NCT04772196. IPD Sharing: NO. Countries: 1. Publications: 8.
Data from: Exploration profiles drive activity patterns and temporal niche specialization in a wild rodent
Open the record for dataset details and reuse information.
Data from: Spatio-temporal transcript profiling of rice roots and shoots in response to phosphate starvation and recovery
Open the record for dataset details and reuse information.
Temporal profiles of germ-free and conventionally raised female and male mice (LIVER)
GEO Series GSE114400. Mus musculus. 48 samples. Type: Expression profiling by high throughput sequencing.
High-Depth Transcriptomic Profiling Reveals the Temporal Gene Signature of Mesenchymal Stem Cells During Chondrogenesis
GEO Series GSE109503. Homo sapiens. 18 samples. Type: Expression profiling by high throughput sequencing.
High resolution temporal profiling of gene expression during Arabidopsis leaf development (senescence process)
GEO Series GSE22982. Arabidopsis thaliana. 22 samples. Type: Expression profiling by array.
Temporal gene expression profiling of murine brown infiltrating macrophages (SVCs) with different diet regimens [brown SVCs]
GEO Series GSE63169. Mus musculus. 39 samples. Type: Expression profiling by array.
Dual-center, dual-platform microRNA profiling identifies plasma biomarkers of adult temporal lobe epilepsy (Beaumont)
GEO Series GSE114697. Homo sapiens. 48 samples. Type: Other.
Refined spatial temporal epigenomic profiling reveals intrinsic connection between PRDM9-mediated H3K4me3 and the fate of double-stranded breaks
GEO Series GSE132446. Mus musculus. 186 samples. Type: Genome binding/occupancy profiling by high throughput sequencing; Methylation profiling by high throughput sequencing.
Genome-wide microRNA expression profiles of rat hippocampus in a chronic temporal lobe epilepsy model induced by amygdala stimulation
GEO Series GSE52443. Rattus norvegicus. 2 samples. Type: Non-coding RNA profiling by high throughput sequencing.
Dual-center, dual-platform microRNA profiling identifies plasma biomarkers of adult temporal lobe epilepsy [Beaumont miRNA-seq]
GEO Series GSE114847. Homo sapiens. 3 samples. Type: Non-coding RNA profiling by high throughput sequencing.
Temporal Endogenous Gene Expression Profiles in Response to Polymer-Mediated Transfection and Profile Comparison to Lipid-Mediated Transfection
GEO Series GSE59665. Homo sapiens. 23 samples. Type: Expression profiling by array.
Shared inflammatory glial cell signature after brain injury, revealed by spatial, temporal and cell-type-specific profiling of the murine cerebral cortex
GEO Series GSE226211. Mus musculus. 17 samples. Type: Expression profiling by high throughput sequencing; Other.
High-Resolution temporal profiling of developing pancreas uncovers the mechanisms of endocrine cell fate determination
GEO Series GSE100622. Mus musculus. 35 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
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.