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34 results for “waste management”

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zenodo32/100

Statistical data - Waste management sector transformation and its impact towards JGT in Montenegro

<p>The dataset represents statistical data collected and interpreted by the authors in the framework of the research titled "<span>Waste Management Sector Transformation </span><span>and its Impact towards JGT in Montenegro"</span></p> <p>The dataset contains tables and graphs that are employed within the research and may be accessed by the general public in compliance with the Creative Commons Attribution license. The datasheets include:</p> <ol> <li>Typical of RDF recovered from municipal solid wastes generated in industrialized nations</li> <li>Waste types are used as fuels in EU-27 cement kilns</li> <li>GHG performance of typical fuels</li> <li>Amount of waste generated and managed per inhabitant in Montenegro</li> <li>Population and waste in targeted municipalities</li> <li>Amount of waste generated and collected in the study area</li> <li>Number of Inhabitants in targeted municipalities</li> <li>Waste quantities (in tons) in (a) Old Royal Capital Cetinje; (b) Danilovgrad and (c) Podgorica</li> </ol>

opencc-by-4.0Jul 2024View details →
ClinicalTrials.gov32/100

Empowering Nursing Competence in Biomedical Waste Management At El-Minia University Hospitals

ClinicalTrials.gov study NCT06718660. IPD Sharing: NO. Countries: 1. Publications: 1.

closedIPD-NOFeb 2026View details →
dryad32/100

Data from: Pathogen-mediated selection and management implications for white-tailed deer exposed to chronic wasting disease

Open the record for dataset details and reuse information.

publicMay 2024View details →
dryad28/100

Data from: Water-repellent plant surface structure induced by gall-forming insects for waste management

Many animals and plants have evolved elaborate water-repellent microstructures on their surface, which often play important roles in their ecological adaptation. Here we report a unique type of water-repellent structure on plant surface, which develops as an insect-induced plant morphology in a social context. Some social aphids form galls on their host plant, in which they produce large amount of hydrophobic wax. Excreted honeydew is coated by the powdery wax to form "honeydew balls", which are actively disposed by soldier nymphs through an opening on their gall. These activities are enabled by a highly water-repellent inner gall surface, and we discovered that this surface is covered with dense trichomes that are not found on normal plant surface. The trichomes are coated by fine particles of the insect-produced wax, thereby realizing a high water repellency with a cooperative interaction between aphids and plants. The plant leaves on which the gall is formed often exhibit patchy areas with dense trichomes, representing an ectopic expression of the insect-induced plant morphology. In the pouch-shaped closed galls of a related social aphid species, by contrast, the inner surface was not covered with trichomes. Our findings provide a convincing example of how the extended phenotype of an animal, expressed in a plant, plays a pivotal role in maintaining sociality.

opencc-zeroDec 2017View details →
zenodo28/100

(rev) Data Rekap_Kuesioner Waste Management

Open the record for dataset details and reuse information.

opencc-by-4.0Oct 2024View details →
dryad28/100

Data from: Water-repellent plant surface structure induced by gall-forming insects for waste management

Open the record for dataset details and reuse information.

publicSep 2018View details →
zenodo24/100

Supporting data : Waste management by ants: the enhancing role of larvae

<p>As part of the publication process of our article &quot;Waste management by ants: the enhancing role of larvae&quot;, we shared on Zenobo.org the dataset which underpins our results.</p>

opencc-by-4.0Apr 2020View details →
zenodo24/100

Figure 2 from: Véron R, Fernando N, Narayanan N, Upreti B, Ambat B, Pallawala R, Rajbhandari S, Rao Dhananka S, Zurbrügg C (2018) Social processes in post-crisis municipal solid waste management innovations: A proposal for research and knowledge exchange in South Asia. Research Ideas and Outcomes 4: e31430. https://doi.org/10.3897/rio.4.e31430

Figure 2 Partly decentralized waste chains in Kerala.

opencc-by-4.0Dec 2018View details →
zenodo24/100

Figure 1 from: Véron R, Fernando N, Narayanan N, Upreti B, Ambat B, Pallawala R, Rajbhandari S, Rao Dhananka S, Zurbrügg C (2018) Social processes in post-crisis municipal solid waste management innovations: A proposal for research and knowledge exchange in South Asia. Research Ideas and Outcomes 4: e31430. https://doi.org/10.3897/rio.4.e31430

Figure 1 Schematic representation of the institutional MSWM architecture.

opencc-by-4.0Dec 2018View details →
zenodo24/100

Smart Waste Management System Development and Evaluation Decision Support Framework

<p><strong>Smart Waste Management System Development and Evaluation Decision Support Framework</strong></p> <p><strong>Framework concept and goal</strong></p> <ul> <li> <p>For various cities with various infrastructure, financial capabilities, needs and goals of implementing a waste management (WM) system, a various set of WM services and technologies is needed</p> </li> <li> <p>There is a large number of studies describing individual aspects of WM systems in various specific context to solve various local problems</p> </li> <li> <p>We developed this improvement and evaluation decision support framework to provide recommendations about WM in the city, based on current goals, challenges, the characteristics of the city, city context and context of the city WM system</p> </li> <li> <p>This version of the framework is intended for the mayor of the city / city authorities</p> </li> </ul> <p>&nbsp;</p> <p><strong>Primary data for the framework operation and decision support</strong></p> <p>Primary data summarizes:</p> <ul> <li> <p>scientific research (173 primary studies, period 2014-2022)&nbsp;<br> <a href="https://ieeexplore.ieee.org/document/9815071">I. Sosunova and J. Porras, &ldquo;IoT-Enabled Smart Waste Management Systems for Smart Cities: A Systematic Review,&rdquo; IEEE Access, vol. 10, no. July, pp. 73326&ndash;73363, 2022, doi: 10.1109/ACCESS.2022.3188308</a></p> </li> <li> <p>Surveys for residents, authorities and companies (Lappeenranta, Helsinki, Saint-Petersburg)</p> </li> <li> <p>practical research (2 international projects, hackathons, experience of leading Finnish companies)</p> </li> </ul> <p>&nbsp;</p> <p>Based on this data we build a Smart Waste Management (SWM) Model, that includes:</p> <ul> <li> <p>physical infrastructure</p> </li> <li> <p>services</p> </li> <li> <p>stakeholders</p> </li> <li> <p>data, shared between stakeholders&nbsp;</p> </li> </ul> <p>&nbsp;</p> <p><strong>Basic steps for using the framework</strong></p> <p>To get&nbsp;<strong>recommendations (5)&nbsp;</strong>about Improvement and Evaluation of the Waste Management System in your city, you will need read these&nbsp;<strong>Guide (1</strong>, we don&#39;t provide it in the figure<strong>)</strong>&nbsp;to define:</p> <ul> <li> <p><strong>Context&nbsp;(2)</strong>&nbsp;of your city and your city waste management system</p> </li> <li> <p><strong>Goals (3)&nbsp;</strong>of WM system Improvement and Evaluation and KPIs to measure the achievement of each goal</p> </li> <li> <p><strong>Challenges (4)&nbsp;</strong>for each goal and&nbsp;KPIs to some of the&nbsp;challenges (this will allow to measure the achievement of&nbsp; this challenges more accurately)</p> </li> </ul>

opencc-by-4.0Jun 2023View details →
ClinicalTrials.gov24/100

Educational Competition for Waste Management in Nursing Students

ClinicalTrials.gov study NCT07155889. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov24/100

The Effect of Podcast Use on Waste Management on Nursing Students'

ClinicalTrials.gov study NCT07242794. IPD Sharing: NO. Countries: 0. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov24/100

An Evaluation of Operating Room Staff's Awareness of Environmental Sustainability and Medical Waste Management

ClinicalTrials.gov study NCT05686031. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov24/100

Evaluation of Healthcare Waste Management Practices and Problems Among Primary and Secondary Hospitals

ClinicalTrials.gov study NCT06739863. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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

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