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Dataset results
514 results for “Waste”
Oncostatin M signaling drives cancer-associated skeletal muscle wasting
GEO Series GSE222208. Mus musculus. 8 samples. Type: Expression profiling by high throughput sequencing.
IL-17 signalling is critical for controlling subcutaneous adipose tissue wasting and parasite burden during chronic Trypanosoma brucei infection
GEO Series GSE233314. Mus musculus. 10 samples. Type: Expression profiling by high throughput sequencing.
Histopathology of the tongue in a mouse model of oculopharyngeal muscular dystrophy reveals progressive PABPN1 deposition associated with muscle wasting.
GEO Series GSE263433. Mus musculus. 8 samples. Type: Expression profiling by high throughput sequencing.
Supporting data : Waste management by ants: the enhancing role of larvae
<p>As part of the publication process of our article "Waste management by ants: the enhancing role of larvae", we shared on Zenobo.org the dataset which underpins our results.</p>
Abidjan, Cote d'Ivoire, waste characterization data, Feb-Mar 2018
<p>Results of municipal solid waste characterization study conducted in Abidjan, Cote d'Ivoire, in February-March, 2018.</p>
Data from: Hepatocyte-specific deletion of TIPARP, a negative regulator of the aryl hydrocarbon receptor, is sufficient to increase sensitivity to dioxin-induced wasting syndrome
The aryl hydrocarbon receptor (AHR) mediates the toxic effects of dioxin (2,3,7,8-tetrachlorodibenzo-p-dioxin; TCDD), which include thymic atrophy, steatohepatitis, and a lethal wasting syndrome in laboratory rodents. Although the mechanisms of dioxin toxicity remain unknown, AHR signaling in hepatocytes is necessary for dioxin-induced liver toxicity. We previously reported that loss of TCDD-inducible poly(ADP-ribose) polymerase (TIPARP/PARP7/ARTD14), an AHR target gene and mono-ADP-ribosyltransferase, increases the sensitivity of mice to dioxin-induced toxicities. To test the hypothesis that TIPARP is a negative regulator of AHR signaling in hepatocytes, we generated Tiparpfl/fl mice in which exon 3 of Tiparp is flanked by loxP sites, followed by Cre-lox technology to create hepatocyte-specific (Tiparpfl/flCreAlb) and whole-body (Tiparpfl/flCreCMV; TiparpEx3-/-) Tiparp null mice. Tiparpfl/flCreAlb and TiparpEx3-/- mice given a single injection of 10 g/kg dioxin did not survive beyond day 7 and 9, respectively, while all Tiparp+/+ mice survived the 30-day treatment. Dioxin-exposed Tiparpfl/flCreAlb and TiparpEx3-/- mice had increased steatohepatitis and hepatotoxicity as indicated by greater staining of neutral lipids and serum alanine aminotransferase activity than similarly treated wild-type mice. Tiparpfl/flCreAlb and TiparpEx3-/- mice exhibited augmented AHR signalling, denoted by increased dioxin-induced gene expression. Metabolomic studies revealed alterations in lipid and amino acid metabolism in liver extracts from Tiparpfl/flCreAlb mice compared with wild-type mice. Taken together, these data illustrate that TIPARP is an important negative regulator of AHR activity, and that its specific loss in hepatocytes is sufficient to increase sensitivity to dioxin-induced steatohepatitis and lethality.
Database for accurate EI-MS spectra for semi-volatile compounds identified in plastic from electronical waste
<p>Database of accurate EI-MS spectra, recorded using a GC-EI-TOF-MS instrument, containing more than 300 volatile and semi-volatile compounds tentatively identified in plastics of electrical waste (e-waste). Tentative identifications were based on normalized spectral matches above 60 (0-100 scale) with the low-resolution NIST17 database, linear retention index differences between 50 units compared to literature values for semipolar (HP5-type) columns, and mass errors below 5 mDa for a minimum of two relevant ions in the spectra of each compound.</p>
Dataset for publication Eslam El-Seidy, Mehdi Chougan, Matteo Sambucci, Mazen J. Al-Kheetan, Marco Valente, Seyed Hamidreza Ghaffar. (2023). Lightweight alkali-activated materials and ordinary Portland cement composites using recycled polyvinyl chloride and waste glass aggregates to fully replace natural sand. Construction & Building Materials, doi: https://doi.org/10.1016/j.conbuildmat.2023.130399
Open the record for dataset details and reuse information.
Dataset for publication 7. Eslam El-Seidy, Mehdi Chougan, Yazeed A. AI-Noaimat, Mazen J. Al-Kheetan, Seyed Hamidreza Ghaffar. (2024). The impact of waste brick and geo-cement aggregates as sand replacement on the mechanical and durability properties of alkali–activated mortar composites, Results in Engineering, doi: https://doi.org/10.1016/j.rineng.2024.101797
Open the record for dataset details and reuse information.
Data availability Optimized inventory control for zero waste in new product development
<p>This data elucidates the research focus using the ABC method, the distribution of lead times based on material types, and the comparative analysis between initial and proposed conditions.</p>
Fig. 2 in Breeding Avifauna Of The Waste Water Treatment Plants, Located In Northern Left-Bank Part Of Ukraine
Fig. 2. Sketch of waste water treatment plants.
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.
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.
Images of Construction and Demolition Waste Consting of Brick and Sand-lime Brick Transported on a Conveyor Belt - Recording with a Mass Flow of 15 g per s and a Mixing Ratio of 25 vs. 75 %
<p>This data set comprises images of bulk material of brick and sand-lime brick on a conveyor belt. The images were recorded on the small-scale optical belt sorter Tablesort. A thorough description of the system can be found in</p> <ul> <li><em>Georg Maier, Florian Pfaff, Christoph Pieper, Robin Gruna, Benjamin Noack, Harald Kruggel-Emden,Thomas Längle, Uwe D. Hanebeck, Jürgen Beyerer</em>, <strong>Experimental Evaluation of a Novel Sensor-Based Sorting Approach Featuring Predictive Real-Time Multiobject Tracking</strong>,Transactions on Industrial Electronics, February 2020.</li> <li>See also the <a href="https://www.iosb.fraunhofer.de/en/projects-and-products/insideschuettgut">project website</a>.</li> </ul> <p>This dataset is part of a batch of recordings of construction and demolition waste consisting of brick and sand-lime brick on optical sorters. Please use the search function with the keywords "Images of Construction and Demolition Waste" (in quotes) to find them. The data set was recorded with a Bonito CL-400C. Please see the debayer script on GitHub <a href="https://github.com/geomai/debayer_bonito">https://github.com/geomai/debayer_bonito</a>. The frame rate is approximately 192 Hz.</p> <p><br> To this date, publications that used this data include</p> <ul> <li><em>Marcel Reith-Braun, Albert Bauer, Maximilian Staab, Florian Pfaff, Georg Maier, Robin Gruna, Thomas Längle, Jürgen Beyerer, Harald Kruggel-Emden and Uwe D. Hanebeck</em>, <strong>GridSort: Image-based Optical Bulk Material Sorting Using Convolutional LSTMs</strong>, 22nd IFAC World Congress, Yokohama, Japan, July 2023.</li> </ul> <p><strong>Acknowledgment</strong><br> The IGF project 20354 N of the research association Forschungs-Gesellschaft Verfahrens-Technik e.V. (GVT) was supported via the AiF in a program to promote the Industrial Community Research and Development (IGF) by the Federal Ministry for Economic Affairs and Climate Action on the basis of a resolution of the German Bundestag.</p>
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> </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) <br> <a href="https://ieeexplore.ieee.org/document/9815071">I. Sosunova and J. Porras, “IoT-Enabled Smart Waste Management Systems for Smart Cities: A Systematic Review,” IEEE Access, vol. 10, no. July, pp. 73326–73363, 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> </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 </p> </li> </ul> <p> </p> <p><strong>Basic steps for using the framework</strong></p> <p>To get <strong>recommendations (5) </strong>about Improvement and Evaluation of the Waste Management System in your city, you will need read these <strong>Guide (1</strong>, we don't provide it in the figure<strong>)</strong> to define:</p> <ul> <li> <p><strong>Context (2)</strong> of your city and your city waste management system</p> </li> <li> <p><strong>Goals (3) </strong>of WM system Improvement and Evaluation and KPIs to measure the achievement of each goal</p> </li> <li> <p><strong>Challenges (4) </strong>for each goal and KPIs to some of the challenges (this will allow to measure the achievement of this challenges more accurately)</p> </li> </ul>
Ultrasound to Evaluate the Quadriceps Muscle Wasting
ClinicalTrials.gov study NCT02562495. IPD Sharing: NO. Countries: 1. Publications: 0.
Nutritional Status, Muscle Wasting and Fraility in Intensive Care Patients
ClinicalTrials.gov study NCT04709198. IPD Sharing: NO. Countries: 1. Publications: 0.
Green Digital Diabetes Waste Project
ClinicalTrials.gov study NCT06071325. IPD Sharing: NO. Countries: 1. Publications: 0.
Acute Skeletal Muscle Wasting and Relation to Physical Function in Patients Requiring ECMO
ClinicalTrials.gov study NCT03026985. IPD Sharing: NO. Countries: 1. Publications: 0.
Educational Competition for Waste Management in Nursing Students
ClinicalTrials.gov study NCT07155889. IPD Sharing: NO. Countries: 1. Publications: 0.
ScienceDex guides
Understand access before you commit
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.