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67 results for “resource utilization”

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zenodo40/100

DBFZ Resource Database: DE-Biomass Monitor. Biomass Potentials and Utilization of Biogenic Wastes and Residues in Germany 2010-2020

<p>Excerpt from the<a href="https://datalab.dbfz.de/resdb?lang=en"> DBFZ Resource Database</a> (DE Biomass Monitor) as of 02.12.2024 (v6.3.2).</p>

opencc-by-nc-4.0Dec 2023View details →
zenodo40/100

BRAIN Journal-Intelligent Continuous Double Auction method For Service Allocation in Cloud Computing-Figure 6. Comparison on resource utilization.

<p>Figure 6 shows resource utilization in different system loads and as shown in it, in ICDA<br> resource utilization is more efficient than other methods especially in higher system load which is<br> due to tradeoff and sharing factors.</p>

opencc-by-4.0Oct 2013View details →
zenodo40/100

BRAIN Journal-Intelligent Continuous Double Auction method For Service Allocation in Cloud Computing-Figure 4. Sharing and tradeoff factor effect on resource utilization

<p>In Figure 4 we consider tradeoff and sharing factors in providers. The result illustrates that<br> by using these factors providers improve resource utilization. Higher resource utilization motivates<br> more providers to participate in the cloud and also enables the cloud market to handle more<br> consumers which influences market efficiency.</p>

opencc-by-4.0Oct 2013View details →
zenodo36/100

Support data for conference paper "The Concept of Efficient Utilization of the Uplink Frequency Resource of a Smart Factory 5G Cluster by IIoT Devices"

<p>upport data for conference paper<br>Kovtun, and O. Kovtun, &ldquo;The Concept of Efficient Utilization of the Uplink Frequency Resource of a Smart Factory 5G Cluster by IIoT Devices.&rdquo; In Proc. 8th International Conference on Computational Linguistics and Intelligent Systems. Volume I: Machine Learning Workshop, CEUR-WS, vol. 3664, 2024; pp. 273-283.<br>This research is part of the project No. 2022/45/P/ST7/03450 co-funded by the National Science Centre and the European Union Framework Programme for Research and Innovation Horizon 2020 under the Marie Skłodowska-Curie grant agreement No. 945339.</p>

opencc-by-4.0Aug 2024View details →
dryad36/100

Space resource utilization of dominant species integrates abundance- and functional-based processes for better predictions of plant diversity dynamics

<p>Sustainable ecosystem management relies on our ability to predict changes in plant diversity and to understand the underlying mechanisms. Empirical evidence demonstrates that abundance- and functional-based processes simultaneously explain the loss of plant diversity in response to human activities. Recently, a novel indicator based on percent cover (CoverD) and maximum height (HeightD) of the dominant plant species – Space Resource Utilization (SRUD) – has proven to give robust and better predictions of plant diversity dynamics than community biomass. Whether the superior predictive ability of SRUD is due to its capacity to simultaneously capture abundance- and functional-based processes remains unknown. Here, we tested this hypothesis by quantifying mechanistic links between changes in SRUD and biodiversity in response to nutrients and herbivores. Furthermore, we assessed the relative contribution of dominant, intermediate, and rare species to reduced density of individuals by combining null model analysis with field experiments. We found that SRUD successfully captured changes in ground-level light availability and changes in the number of individuals to predict plant diversity dynamics, and each of CoverD and HeightD partly and independently contributed to both processes. Comparative results from null model analysis and field experiments confirmed that individual losses of dominant, intermediate, and rare species followed non-random processes. Specifically, compared with random loss process, rare species lost proportionally more individuals and thus disproportionately contributed to species loss, while dominant and intermediate species lost less. Our results demonstrate that SRUD captures both abundance- and functional-based processes thus explaining why SRUD provides more accurate predictions of changes in species diversity. Given that rare species can play an important role in shaping community structure, resisting against invasion, impacting higher trophic levels, and providing multiple ecosystem functions, reducing the SRU of dominant species could alleviate the risk of exclusion of rare species by mitigating abundance- and functional-based competition processes.</p>

opencc-zeroDec 2022View details →
ClinicalTrials.gov36/100

Pilot of Virtual Health Coaching Utilizing Lifestyle for Under-Resourced Patients With Type II Diabetes

ClinicalTrials.gov study NCT04872647. IPD Sharing: NO. Countries: 1. Publications: 4.

closedIPD-NOFeb 2026View details →
dryad36/100

Data from: On the use of random graphs in analysing resource utilization in urban systems

Open the record for dataset details and reuse information.

publicMar 2020View details →
dryad36/100

Space resource utilization of dominant species integrates abundance- and functional-based processes for better predictions of plant diversity dynamics

Open the record for dataset details and reuse information.

publicDec 2022View details →
zenodo32/100

PID and LQR controllers evaluation for the resource utilization management

<p>PID and LQR controllers evaluation for the resource utilization management for the paper submitted to ACSOS-2020.</p>

opencc-by-4.0May 2020View details →
zenodo32/100

Dataset for: Online Virtual Machine Provisioning under Uncertainty: A Robust Approach to Ultimate Resource Utilization

<div> <div>In cloud resource scheduling and management, efficiency and quality are two vital yet conflicting objectives. Cloud providers, such as Huawei, prioritize quality by avoiding hotspots and aim to optimize and increase the utilization efficiency of PM resources without compromising quality. The typical online VM scheduling problem in cloud practice can be stated as follows: given a fixed number of PMs and a queue of arriving VMs, the goal is to place as many VMs as possible onto the PMs while ensuring that no hotspots occur.</div> <br> <div>The trace consists of a total of 297 instances, where each instance is represented by a JSON file named in the format X-1.json, X-2.json, and X-3.json. Here, X represents the number of PMs capable of hosting the arriving VMs, ranging from 2 to 100. For example, 50-1.json indicates that there are 50 available PMs to host the arriving VMs. For each value of X, there are three replicas denoted by the suffixes 1, 2, and 3.</div> <br> <div>There are multiple flavors of PM available in our cloud service provider. Readers can refer to our online paper, which we will provide the link for below, to learn about the specific flavor we used for academic and testing purposes. However, they are also free to use other typical flavors as per their requirements.</div> <br> <div>Each JSON file contains information about the VMs waiting to be assigned to PMs, and the fields for these VMs are as follows (each line represents a VM):</div> <br> <div> <ul> <li><strong>Created_at_point</strong>: the timestamp when the VM arrives. The list is already sorted in ascending order based on the arrival times.</li> </ul> </div> <ul> <li><strong>memory</strong>: the memory capacity of the VM defined by its flavor, measured in gigabytes (GB).</li> <li><strong>duration_point</strong>: the timestamps indicating the duration of the VM's usage. Each timestamp represents a 5-minute interval in practice.</li> <li><strong>vm_util</strong>: the real utilized capacity of the VM at each timestamp, with a similar meaning as the Hotspot Resolution trace. The length of the list is equal to the value of "duration_point".</li> </ul> </div> <div>&nbsp;</div>

opencc-by-4.0Apr 2024View details →
zenodo32/100

Supplemental information of "Food waste utilized as resources can reduce climate and resource burdens in agrifood systems"

<p>(1) Source data (Data 1) for bootstrapping analysis to compute means and 95% CIs of carbon footprint and product metrics of food waste treatments, as well as food waste landfill emissions. The revised version incorporated the original reported carbon footprint data for different food waste managements.</p> <p>(2) Source data (Data 2) for food waste management schemes of US, EU, and China for emission estimation as well as emission mitigation analyses.</p> <p>(3) List of studies selected from a systematic literature review.</p> <p>(4) Script code and output report from STATA.</p>

opencc-by-4.0Jul 2024View details →
zenodo32/100

Survival under conditions of variable food availability: Resource utilization and storage in the cold‐water coral Lophelia pertusa

<p>Abstract</p> <p>Cold-water coral (CWC) reefs are hotspots of biodiversity and productivity in the deep sea, but their distribution&nbsp;is limited by the availability of food, which undergoes complex local and temporal variability. We studied&nbsp;the resource utilization, metabolism, and tissue storage of CWC Lophelia pertusa during an experimentally simulated&nbsp;3-day food pulse, of 13C15N-enriched phytodetritus, followed by a 4-week food deprivation. Oxygen consumption&nbsp;(0.145 &mu;mol O2 [mmol organic carbon {OC}]&minus;1 h&minus;1), release of particulate organic matter (0.029 &mu;mol&nbsp;particulate organic carbon [POC] [mmol OC]&minus;1 h&minus;1 and 0.005 &mu;mol particulate organic nitrogen [mmol OC]&minus;1 h&minus;1),&nbsp;ammonium excretion (0.004 &mu;mol NH4&nbsp;+ [mmol OC]&minus;1 h&minus;1), tissue C and N content, and fatty acid (FA) and amino&nbsp;acid composition did not change significantly during the experiment. Metabolization of the labeled phytodetritus,&nbsp;however, underwent distinct temporal dynamics. Initially, L. pertusa preferentially used phytodetritus-derived C for&nbsp;respiration (2.2 0.36 nmol C [mmol OC]&minus;1 h&minus;1) and mucus production (0.94 0.52 nmol C [mmol OC]&minus;1 h&minus;1),&nbsp;but those tracer fluxes declined exponentially to &lt;20% within 2 weeks after feeding and then remained stable, indicating&nbsp;that the remainder of the incorporated phytodetritus had entered a tissue pool with lower turnover. Analysis&nbsp;of 13C in individual FAs revealed a mismatch between the FAs incorporated from phytodetritus and the FA requirements&nbsp;of the coral.We suggest that feeding on other resources, such as lipid-rich zooplankton, could fill this deficiency.&nbsp;A release of 10% of their total OC as respired C and POC during the 4-week food deprivation underlines the&nbsp;importance of regular food pulses for CWC reefs.&nbsp;</p>

opencc-by-4.0Feb 2019View details →
ClinicalTrials.gov32/100

Evaluation of Health Costs and Resource Utilization

ClinicalTrials.gov study NCT01960426. IPD Sharing: UNDECIDED. Countries: 1. Publications: 4.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

Setting a Benchmark for Resource Utilization and Quality of Care in Patients Undergoing TAVI in Europe

ClinicalTrials.gov study NCT04579445. IPD Sharing: NO. Countries: 7. Publications: 3.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov32/100

Post-marketing Observational Study to Evaluate the Incremental Impact of AbbVie's Patient Support Program on Patient Reported Outcomes and Health Resource Utilization in Inflammatory Arthritis, Psoria

ClinicalTrials.gov study NCT02750800. IPD Sharing: UNDECIDED. Countries: 0. Publications: 3.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

Treatment Patterns, Clinical Outcomes, and Healthcare Resource Utilization Associated With Chinese Patients With Advanced Lung Cancer

ClinicalTrials.gov study NCT03505515. IPD Sharing: Not stated. Countries: 1. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

BNP Measurement Reduces Resource Utilization for Patients With CHF Admitted Thorough the ED

ClinicalTrials.gov study NCT00587938. IPD Sharing: Not stated. Countries: 1. Publications: 2.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

A Study to Explore Treatment Patterns, Treatment Outcomes, Healthcare Resource Utilization in Adult Participants With Myelofibrosis Through Chart Review

ClinicalTrials.gov study NCT05444972. IPD Sharing: UNDECIDED. Countries: 14. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

Study to Assess Resource Utilization and Quality of Life of Patients With RRMS Treated With Tecfidera in Greece

ClinicalTrials.gov study NCT03101735. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

Long-Term rIsk, Clinical manaGement and Healthcare Resource Utilization of Stable CAD in Post MI Patients

ClinicalTrials.gov study NCT01866904. IPD Sharing: Not stated. Countries: 25. Publications: 9.

restrictedIPD-UNDECIDEDFeb 2026View details →

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Allen Brain Atlas

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allen-brain-atlas
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Last verified 2026-04-30Open record

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abode-home-cage
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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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record