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Dataset results
514 results for “Waste”
Polyphenols from olive mill waste affect biofilm formation and motility in Escherichia coli K12
GEO Series GSE42205. Escherichia coli str. K-12 substr. MG1655; Escherichia coli CFT073; Escherichia coli O157:H7 str. Sakai; Escherichia coli K-12; Escherichia coli O157:H7 str. EDL933. 27 samples. Type: Expression profiling by array.
Integrated genomic and proteomic analyses identify stimulus-dependent distinct molecular changes associated with skeletal muscle wasting
GEO Series GSE159952. Mus musculus. 30 samples. Type: Expression profiling by high throughput sequencing.
Ribosomal mistranslation activates an age-dependent program of dystrophic muscle wasting
GEO Series GSE156283. Mus musculus. 30 samples. Type: Expression profiling by high throughput sequencing.
Genome-wide analysis of skeletal muscle gene expression in mice with C26 tumor-induced muscle wasting and cachexia
GEO Series GSE24112. Mus musculus. 11 samples. Type: Expression profiling by array.
Involvement of miRNAs in the regulation of muscle wasting during catabolic conditions
GEO Series GSE51648. Mus musculus. 39 samples. Type: Non-coding RNA profiling by array.
Cytotoxic and Molecular Effects of Soil Extracts from the Agbogbloshie Electronic-Waste Site on Fish and Human Cell Lines.
GEO Series GSE279464. Oncorhynchus mykiss; Homo sapiens. 552 samples. Type: Expression profiling by high throughput sequencing.
ATSDR Hazardous Waste Site Polygon Data with CIESIN Modifications, Version 2
The Agency for Toxic Substances and Disease Registry (ATSDR) Hazardous Waste Site Polygon Data with CIESIN Modifications, Version 2 is a database providing georeferenced data for 1,572 National Priorities List (NPL) Superfund sites. These were selected from the larger set of the ATSDR Hazardous Waste Site Polygon Data, Version 2 data set with polygons from May 26, 2010. The modified data set contains only sites that have been proposed, currently on, or deleted from the final NPL as of October 25, 2013. Of the 2,080 ATSDR polygons from 2010, 1,575 were NPL sites but three sites were excluded - 2 in the Virgin Islands and 1 in Guam. This data set is modified by the Columbia University Center for International Earth Science Information Network (CIESIN). The modified polygon database includes all the attributes for these NPL sites provided in the ATSDR GRASP Hazardous Waste Site Polygon database and selected attributes from the EPA List 9 Active CERCLIS sites and SCAP 12 NPL sites databases. These polygons represent sites considered for cleanup under the Comprehensive Environmental Response, Compensation and Liability Act (CERCLA or Superfund). The Geospatial Research, Analysis, and Services Program (GRASP, Division of Health Studies, Agency for Toxic Substances and Disease Registry, Centers for Disease Control and Prevention) has created site boundary data using the best available information for those sites where health assessments or consultations have been requested.
ATSDR Hazardous Waste Site Polygon Data, Version 2
The Agency for Toxic Substances and Disease Registry (ATSDR) Hazardous Waste Site Polygon Data, Version 2 consists of 2,080 polygons for selected hazardous waste sites that were compiled on May 26, 2010. Most polygons represent sites considered for cleanup under the Comprehensive Environmental Response, Compensation and Liability Act (CERCLA or Superfund). Typical sites are either on the EPA National Priorities List (NPL) or are being considered for inclusion on the NPL. The hazardous waste site boundaries maintained by the Geospatial Research, Analysis, and Services Program (GRASP, Division of Health Studies, Agency for Toxic Substances and Disease Registry, Centers for Disease Control and Prevention) contain NPL and non-NPL hazardous waste site boundaries for which health assessments or consultations have been requested.
Microarray analysis of mediastinal lymph node of pigs naturally affected by postweaning multisystemic wasting syndrome
GEO Series GSE19083. Sus scrofa. 25 samples. Type: Expression profiling by array.
Cathepsin L as a dual-target to mitigate muscle wasting while enhancing anti-tumor efficacy of anti-PD-L1 [Bulk1]
GEO Series GSE278013. Mus musculus. 14 samples. Type: Expression profiling by high throughput sequencing.
Cathepsin L as a dual-target to mitigate muscle wasting while enhancing anti-tumor efficacy of anti-PD-L1 [Bulk2]
GEO Series GSE278396. Mus musculus. 15 samples. Type: Expression profiling by high throughput sequencing.
FoxP1 is sufficient and required for skeletal muscle wasting
GEO Series GSE153068. Mus musculus. 4 samples. Type: Expression profiling by array.
Local inflammation precedes respiratory muscle wasting and fibrotic remodeling in a mouse model of PDAC
GEO Series GSE271521. Mus. 18 samples. Type: Expression profiling by high throughput sequencing.
Systemic muscle wasting drives tumourigenesis
GEO Series GSE139958. Drosophila melanogaster. 24 samples. Type: Expression profiling by high throughput sequencing.
Complement pathway activation mediates pancreatic cancer-induced muscle wasting and pathological remodeling [RNA-seq]
GEO Series GSE274179. Mus musculus. 8 samples. Type: Expression profiling by high throughput sequencing.
Food Waste Disposer Particle Characterisation
<p>Research by The University of Sheffield for InSinkErator</p>
Chemical and isotopic data of laboratory batch and column experiments using industrial wine wastes to biostimulate denitrification
<p>Nitrate and nitrite are common pollutants in wastewater and agricultural runoff, and their removal is crucial to mitigate environmental impacts. The study focused on utilising sustainable and cost-effective carbon sources to enhance denitrification performance in nitrate-contaminated field water. Laboratory batch and column experimental work was carried out aimed at investigating the feasibility of using wine wastes as electron donors in a feasibility study to biostimulate biological denitrification. Two industrial wine wastes were collected from local wineries (lias and vinico). The samples were characterized for their organic carbon content to determine their suitability as electron donors. Two sets of denitrification reactors were set up, consisting of a series of crystal Pyrex<sup>®</sup> reactors. Each reactor contained nitrate-contaminated water, and gravel from the field, which was covered with aluminium crimp caps with septa and purged with Ar to create an anaerobic environment. Each series of reactors were biostimulated with the respective wine waste. Control reactors without wine wastes were also prepared for comparison. Lias was successful in removing nitrates in the batch experiment and was subsequently used in the column experiment to test its potential in a continuous flow system. </p> <p>The chemical and isotopic results of the two sets of parallel batch experiments and the column experiment are presented in this data.</p> <p>A geochemical model was performed to simulate the experimental results for the future field application using the Phreeqc and the Gibbstudio software and iso.dat and the wateq4f databases. </p>
ABS richt model waste characterization for different sampling strategies - NMR data
<p>The purpose of this analysis is the development of an efficient sampling protocol for plastic waste streams. </p> <p>A model waste from different polymers was formulated, rich in ABS and containing PS, PP and PE in smaller proportions. Additionally, one bromine containing flame retardant is added to a final concentration of either 500ppm or 50ppm. Different sampling approaches were followed including extrusion and/or cryogenic grinding as a homogenization step. Each approach was assessed via various analytical techniques as to homogenization efficiency. </p> <p>This dataset contains raw NMR data of the model waste from the different sampling approaches. The content is:</p> <ul> <li> <p>One Excel file containing NMR data of the model waste, wherein the approach was based on extrusion and measurement protocol</p> </li> <li> <p>One Excel file containing NMR data of the model waste, wherein the approach was based on cryogenic grinding and measurement protocol</p> </li> <li> <p>One Readme file containing further information about the methodology and nomenclature </p> </li> </ul> <p>This dataset was generated in the framework of PRecycling Horizon Europe project (101058670)</p>
Data underlying findings reported in "Potentially Toxic Elements (PTEs) and Ecological Risk at Waste Disposal Sites: An Analysis of Sanitary Landfills" (Plos One article)
Open the record for dataset details and reuse information.
Nuclear Winter Waste Barrel
A snowy blue barrel with a yellow danger symbol. Source: Objaverse 1.0 / Sketchfab
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International Brain Laboratory public data
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OpenNeuro
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