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557 results for “demand”
The Impact of Acute Trans-resveratrol Administration on Whole Body Metabolism During Cognitive Demand.
ClinicalTrials.gov study NCT03546075. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Effect of Two Modes of Mechanical Ventilation on Metabolic Demands and Respiratory Mechanics
ClinicalTrials.gov study NCT04205422. IPD Sharing: NO. Countries: 0. Publications: 0.
On-Demand Use of Pantoprazole: Determinants for Chronic Use of Acid Suppressive Medication
ClinicalTrials.gov study NCT00161096. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Information About HIV Transmission and Circumcision on Subsequent Sexual Behavior, and the Demand for Circumcision
ClinicalTrials.gov study NCT01895556. IPD Sharing: Not stated. Countries: 0. Publications: 0.
FIB Grifols Congenital Deficiency for On-demand Treatment and Surgical Prophylaxis
ClinicalTrials.gov study NCT04636268. IPD Sharing: Not stated. Countries: 0. Publications: 0.
The imprinted Phlda2 gene modulates a major endocrine compartment of the placenta to regulate placental demands for maternal resources
GEO Series GSE74318. Mus musculus. 11 samples. Type: Expression profiling by array.
Multiplexed inhibition of immunosuppressive genes with Cas13d for on-demand combinatorial cancer immunotherapy
GEO Series GSE269516. Mus; Mus musculus; synthetic construct. 46 samples. Type: Expression profiling by high throughput sequencing; Other.
Precisely controlled cell-cell interactions with single-cell transcriptome readout identify a time-demand threshold response of human oncolytic NK cells
GEO Series GSE214129. Homo sapiens. 447 samples. Type: Expression profiling by high throughput sequencing.
MEK-dependent bioenergetic demand drives terminal CD8+ T cell exhaustion
GEO Series GSE293649. Mus musculus. 9 samples. Type: Expression profiling by high throughput sequencing.
Proteome allocation constraints determine cellular growth rates and demand fitness trade-offs
GEO Series GSE72020. Escherichia coli str. K-12 substr. MG1655. 4 samples. Type: Expression profiling by high throughput sequencing.
Lag selection for predictors of tourism demand in Valencia Region (Spain)
<p>This data set was useful to identify predictors of Tourism Demand in Valencia Region (Spain) and selected the right lag. There is a total of 85 variables evaluated. </p>
Data for climate mitigation scenarios with persistent COVID-19 related energy demand changes
<p>This repository contains data for the main text figures plus some supplementary figures in the article:<br> Kikstra et al 2021 Nat. Energy. DOI: <a href="https://doi.org/10.1038/s41560-021-00904-8">10.1038/s41560-021-00904-8</a></p> <p>This dataset should be cited as: Kikstra et al. (2021). Data for climate mitigation scenarios with persistent COVID-19 related energy demand changes. DOI: <a href="https://doi.org/10.5281/zenodo.5211169">10.5281/zenodo.5211169</a></p> <p>In order to reproduce the figures, one needs to use the script that is available on GitHub at:<br> <a href="https://github.com/iiasa/covid-energy-demand-scenarios">https://github.com/iiasa/covid-energy-demand-scenarios</a></p> <p>The most accessible way of exploring the scenario data behind this article would be to go to <a href="https://data.ece.iiasa.ac.at/engage/#/workspaces/60">https://data.ece.iiasa.ac.at/engage/#/workspaces/60</a>.<br> This goes to a web tool hosted by the International Institute of Applied Systems Analysis (IIASA) which provides access to a database of these and more variables of interest, defined for each scenario on the detail of MESSAGE regions, with a few example workspaces available within the ENGAGE Scenario Explorer.<br> The Scenario Explorer is a versatile open access tool to browse, visualize and download data and results. Users can freely create a private workspace where customized plots can be saved and shared.<br> For tutorials on how to use the Scenario Explorer, please visit <a href="https://software.ece.iiasa.ac.at/ixmp-server/tutorials.html">https://software.ece.iiasa.ac.at/ixmp-server/tutorials.html</a>.</p> <p>The scenarios that were used for the IPCC Special Report on 1.5C warming (SR1.5) have been made available at <a href="https://data.ece.iiasa.ac.at/iamc-1.5c-explorer/">https://data.ece.iiasa.ac.at/iamc-1.5c-explorer/</a>.</p> <p>The data is available for download at the <a href="https://data.ece.iiasa.ac.at/engage/">ENGAGE Scenario Explorer</a>. The license permits use of the scenario ensemble for scientific research and science communication, but restricts redistribution of substantial parts of the data. Please refer to the FAQ and <a href="https://data.ece.iiasa.ac.at/engage/#/license">legal code</a> for more information.</p>
Porto area Parcel Delivery Demand dataset
<p>This is an anonymized last-mile parcel delivery demand dataset for several depots at the city center of Porto area, Portugal. The dataset does not include exact orders' delivery points, but includes the latitude and longitude of the centroid point of postal codes at which the delivery is aimed at. The dataset includes 6-months of delivery demand from January 2022 to June 2022.</p>
ATF4 couples MYC-dependent translational activity to bioenergetic demands during tumor progression
GEO Series GSE117240. Homo sapiens. 7 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Factors associated with emotional exhaustion in healthcare professionals involved in the COVID-19 pandemic: an application of the job demands-resources model
<p>Dataset from Barello S, Caruso R, Palamenghi L, Nania T, Dellafiore F, Bonetti L, Silenzi A, Marotta C, Graffigna G. Factors associated with emotional exhaustion in healthcare professionals involved in the COVID-19 pandemic: an application of the job demands-resources model. Int Arch Occup Environ Health. 2021 Nov;94(8):1751-1761. doi: 10.1007/s00420-021-01669-z. Epub 2021 Mar 3. PMID: 33660030; PMCID: PMC7928172.</p> <p>Abstract</p> <p><strong>Purpose: </strong>The purpose of the present cross-sectional study is to investigate the role of perceived COVID-19-related organizational demands and threats in predicting emotional exhaustion, and the role of organizational support in reducing the negative influence of perceived COVID-19 work-related stressors on burnout. Moreover, the present study aims to add to the understanding of the role of personal resources in the Job Demands-Resources model (JD-R) by examining whether personal resources-such as the professionals' orientation towards patient engagement-may also strengthen the impact of job resources and mitigate the impact of job demands.</p> <p><strong>Methods: </strong>This cross-sectional study involved 532 healthcare professionals working during the COVID-19 pandemic in Italy. It adopted the Job-Demands-Resource Model to study the determinants of professional's burnout. An integrative model describing how increasing job demands experienced by this specific population are related to burnout and in particular to emotional exhaustion symptoms was developed.</p> <p><strong>Results: </strong>The results of the logistic regression models provided strong support for the proposed model, as both Job Demands and Resources are significant predictors (OR = 2.359 and 0.563 respectively, with p < 0.001). Moreover, healthcare professionals' orientation towards patient engagement appears as a significant moderator of this relationship, as it reduces Demands' effect (OR = 1.188) and increases Resources' effect (OR = 0.501).</p> <p><strong>Conclusions: </strong>These findings integrate previous findings on the JD-R Model and suggest the relevance of personal resources and of relational factors in affecting professionals' experience of burnout.</p>
Data from the thesis diagnosis of waste, application possibilities and future demand for green coconut shells, with evaluation of information uncertainty
<p>Information about the quantities of green coconut shells disposed of in areas where the coconuts are consumed is not precise, which can make it difficult to arrange the management of these residues. Assessing the amount of coconut husk disposed of in a region, and the potential of this material for producing other products, will not only improve the environment, but will also contribute to the economic development and health of the population. Based on a structured face-to-face survey in a representative sample of seven municipalities in the southern coastal region of Bahia, this study identifies and maps the main points of consumption where the disposal of green coconut shells occurs, with an evaluation of the uncertainty of the data. The results show that the region annually wastes the equivalent of 1.7 M shell units with a standard uncertainty (<em>u</em>) of 1.2 k, and the amount of fibers that could be extracted for the manufacture of products is 632 t (<em>u</em> = 59 t). The use of the green coconut shells wasted in this region to create other products would lead to an annual reduction in emissions of between 10.2 t and 20.9 t of CH<sub>4</sub>. A survey conducted over the past ten years of the general framework for possible uses of the shells, and an analysis of strengths, weaknesses, opportunities and threats (SWOT), have shown that green coconut shells have potential for use in the production of gardening products, handicrafts, and briquettes. Valuation based on gardening products reveals that the region could produce 34 M (<em>u</em> = 47 k) units of biodegradable tubes for planting seedlings annually and could therefore generate a gross annual revenue of R$ 170 000 (<em>u</em> = 2 350). With regards to briquettes, considering only the municipality of Ilhéus, production could generate a gross value between R$ 2 190 and R$ 3 650 per month.</p>
Raw demand from CREST model - ACE49 repo
<p>Raw demand data from CREST model as used by ACE49 repo.</p>
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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.