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600 results for “Contamination”
FIGURE 3 in The cost of gold: Mercury contamination of fishes in a Neotropical river food web
FIGURE 3 | Sampling locations on the middle Mazaruni River: A. Main channel of the upper Eping River a small, black water tributary of the Mazaruni River. This river appeared more pristine and less impacted by gold mining activities; B. Sandy, shallow habitat sampled in middle channel of the upper Eping River; C. A gold dredge in the middle of the Kurupung River, on the right side is evidence of soil removal that resulted from mining activities; D. Deforestation (to establish mining stations) along the Kurupung River upstream, left bank from the confluence with the Mazaruni River; E-F. Main channel of the Mazaruni River at Olive Creek. At this location, the main channel of Mazaruni River is highly impacted by gold mining activities and gold dredges and 'tailing' beaches are commonly observed; G-H. The main channel of the lower Puterang River before the confluence with the Mazaruni River. At these locations, the Puterang River carries down heavily silted sediments that are spilled into the Mazaruni River.
Figure 4 in La contamination métallique du rouget de vase (Mullus barbatus) et de la sardinelle (Sardinella aurita) du golfe de Tunis
Figure 4. - Teneurs en Hg dans les organes du rouget de vase et de la sardinelle en fonction des saisons (n = 30). Barres verticales: écart type. [Levels of Hg in the organs of Red Mullet and Sardinella (n = 30). Vertical bars: standard deviation.]
Figure 1 in La contamination métallique du rouget de vase (Mullus barbatus) et de la sardinelle (Sardinella aurita) du golfe de Tunis
Figure 1. - Carte du golfe de Tunis et zone d'échantillonnage. [Map of Tunis Gulf and sampling stations.]
Figure 3 in La contamination métallique du rouget de vase (Mullus barbatus) et de la sardinelle (Sardinella aurita) du golfe de Tunis
Figure 3. - Teneurs en Pb dans les organes du rouget de vase et de la sardinelle en fonction des saisons (n = 30). Barres verticales: écart type. [Levels of Pb in the organs of Red Mullet and Sardinella (n = 30). Vertical bars: standard deviation.]
Figure 6 in La contamination métallique du rouget de vase (Mullus barbatus) et de la sardinelle (Sardinella aurita) du golfe de Tunis
Figure 6. - Teneurs en Zn dans les organes du rouget de vase et de la sardinelle en fonction des saisons (n = 30). Barres verticales: écart type. [Levels of Zn in the organs of Red Mullet and Sardinella (n = 30). Vertical bars: standard deviation.]
Figure 2 in La contamination métallique du rouget de vase (Mullus barbatus) et de la sardinelle (Sardinella aurita) du golfe de Tunis
Figure 2. - Teneurs en Cd dans les organes du rouget de vase et de la sardinelle en fonction des saisons (n = 30). Barres verticales: écart type. [Levels of Cd in the organs of Red Mullet and Sardinella (n = 30). Vertical bars: standard deviation.]
Figure 5 in La contamination métallique du rouget de vase (Mullus barbatus) et de la sardinelle (Sardinella aurita) du golfe de Tunis
Figure 5. - Teneurs en Cu dans les organes du rouget de vase et de la sardinelle en fonction des saisons (n = 30). Barres verticales: écart type. [Levels of Cu in the organs of Red Mullet and Sardinella (n = 30). Vertical bars: standard deviation.]
Forensic examination of Wuhan Institute of Virology COVID-19 patient specimens from December 2019 reveals gross contamination of the laboratory, including undisclosed research on a lethal BSL-4 pathogen
<p>A Zenodo pre-print entitled, “CONTAMINATION OR VACCINE RESEARCH? RNA Sequencing data of early COVID-19 patient samples show abnormal presence of vectorized H7N9 hemagglutinin segment” has been published. In the paper, a forensic examination of the sequencing data from five COVID-19 bronchial lavage patient specimens reveals that the laboratory at the Wuhan Institute of Virology (WIV) was contaminated with a wide range of viruses, including the Nipah virus, a BSL-4 pathogen with a lethality of 50% to 92%. A video summary of the paper can be found here.</p> <p>The highlights of the paper are:</p> <ul> <li>Five patient specimens were sequenced by the WIV in December 2019 and were part of an early report on SARS-CoV-2 published by Dr. Zhengli Shi and colleagues (Nature 579, 270–273 (2020). This paper has been viewed over one million times, making it one of the most highly read paper on the pandemic virus.</li> <li>The most abundant contaminant is an undisclosed H7N9 influenza vaccine, which in one specimen is over six-times as abundant as SARS-CoV-2.</li> <li>The Nipah virus gene sequences were found in infectious cloning vectors of the type used for genetic manipulation.</li> <li>Nineteen other contaminants, including Japanese Encephalitis virus, HIV, human T-cell leukemia virus, and hepatitis delta virus were found.</li> </ul> <p>It is important to investigate why the Wuhan Institute of Virology was extensively contaminated in December 2019 as well as learn more about the undisclosed Influenza Vaccine research and Nipah virus cloning experiments. </p> <p>The Zenodo pre-print can be found here: https://zenodo.org/record/5067706#.YPtyyI4zbOg</p>
Evaluation of the shucking of certain species of scallops contaminated with domoic acid with a view to the production of edible parts meeting the safety requirements foreseen in the Union legislation - Summary statistics on occurrence and consumption data and exposure assessment results
<p>DomoicAcid_Raw_Occurrence_Data.CSV contains the raw occurrence dataset on Domoic Acid contaminant in scallops as extracted from EFSA DWH on the 9 June 2020, 16,369 samples presented in the opinion as described in its section 1.3.2. Occurrence data submitted to EFSA. The data is provided in .csv format. This dataset is compliant with EFSA SSD model and contains two additional columns documenting issues identified in the cleaning process (column: issue) and the action taken (column: outcome) to address the issue (e.g. delete record or update values in specific fields).</p> <p>The link to the catalogues of controlled terminologies can be found under "Related identifiers”.</p> <p><strong>Annex_</strong> DomoicAcid</p> <p>Table of contents</p> <p><br> Table A1</p> <p>Description of FoodEx2 codes used to describe scallop species and their anatomical parts</p> <p>Table A2</p> <p>Data cleaning steps applied to occurrence data on domoic acid in scallops</p> <p>Table A3</p> <p>Percentage of Left-Censored data and descriptive statistics for Limits of detection (LODs) and Limits of quantification (LOQs) for domoic acid in scallops (mg/kg)</p> <p>Table A4</p> <p>Descriptive statistics for domoic acid in scallops (mg/kg) as reported in the cleaned database (statistics weighted by number of units per sample)</p> <p>Table A5</p> <p>Descriptive statistics of body tissue weights (g) of scallops as submitted by data providers</p>
Data set for anthropogenic contaminants in ice cores (Dome C - Antarctica)
<p>The produced dataset (in <em>MS Excel</em> format) contains depth profile concentrations of a 16.5 m deep shallow core (covering approx. 200 years before present) drilled at the plateau site of Dome C, East Antarctica (75°06' South Latitude, 123°21' East Longitude), during the 23<sup>rd</sup> Italian Antarctic Expedition.</p> <p>The concentrations of the Polycyclic Aromatic Hydrocarbon (<em>PAH</em>) Benzo[k]fluoranthene (<em>BKF</em>) and of Organochlorinated Pesticides (<em>OCP</em>) expressed as three single compounds (<em>PeCB</em>, <em>ALD</em> and <em>44D</em>) and total (<em>Σ<sub>51</sub> Pesticides</em>) are given in ng L<sup>-1</sup>.</p> <p>The ice core covers a time interval, which includes periods before and after the introduction of these Persistent Organic Pollutants (<em>POPs</em>) in commercial mixtures, as well as periods before the construction of research station facilities. However, in the top samples of the ice core, detected concentrations of analytes are ascribable to industrial anthropogenic activities.</p>
Fig. 1 in Oxidative stress biomarkers and aggressive behavior in fish exposed to aquatic cadmium contamination
Fig. 1. Effects of cadmium exposure on aggressiveness parameters of Nile tilapia. Values are means (± SD). * = Statistically different from control.
Contamination from microplastics and other anthropogenic particles in the digestive tracts of the commercial species Engraulis encrasicolus and Sardina pilchardus
<p><strong>Abstract</strong></p> <p>Fragments of microplastics (< 5mm) found in commercial species of fish, crustaceans, and bivalves, are an issue of global concern. The bioaccumulation of microplastics and other anthropogenic particles in different levels of the food web may provoke unwanted impacts on marine ecosystems and cause pernicious effects on human health. Here, we study the presence of anthropogenic particles and the fraction of microplastics in the target organs of two representative commercial fish species in Spain; the European anchovy (<em>Engraulis encrasicolus</em>) and the European pilchard (<em>Sardina pilchardus</em>). The individuals were sampled along the continental shelf of the Gulf of Cádiz, from the Bay of Cádiz to Cape Santa Maria. The isolation of the microplastics (MPs) was carried out with a complete alkaline-oxidant organic digestion (KOH-H<sub>2</sub>O<sub>2</sub>) of the digestive tract, including both the contents ingested and the muscle tissues. Anthropogenic particles were found in all individuals of both species with an average of 8.94 ± 5.11 items·ind<sup>-1</sup>. Fibres made up 93 % of the items while fragments and films were represented by the remaining 7 %. The average size of the anthropogenic particles was 0.89 ± 0.82 mm. In addition to the fragment and film particles identified as microplastics, 29 % of the fibres were estimated to be microplastics by Fourier-transform infrared spectroscopy (FTIR) analysis. The main polymer found in both species was nylon. No significant correlation was found between the abundance and size of anthropogenic particles ingested and individual size or other body variables. The analysis of similarities (ANOSIM) and the distanced-based multiple linear regression model showed a high homogeneity in anthropogenic particle contamination in both species throughout the study area along the continental shelf of the Gulf of Cádiz.</p>
Post-remediation evaluation of contaminated site using geophysical methods: EMI
<p>For the EMI measurements, a ground conductivity meter EM38-MK2 (Geonics) was used. Based on the measurements carried out on two coil spacings every 0.5 m and 1 m in horizontal (H-mode) and vertical dipole mode (V-mode), a component reflecting the electrical conductivity was obtained at three effective depth ranges approx. 0.37 m and 0.75 m for H-mode, 0.75 m and 1.5 m for V-mode. Recognition of the value of electrical conductivity was obtained in a grid of 50 x 50 m</p> <p>This research was funded by National Science Centre, Poland MINIATURA-5 2021/05/X/ST10/00673 “Post-remediation evaluation of contaminated site using geophysical methods”</p>
Post-remediation evaluation of contaminated site using geophysical methods: IP
<p>Five IP profiles were performed using the LUND electrical imaging system with a SAS 4000 Terrameter produced by ABEM Malå (Guideline Geo) with 0.5 m electrode separation and the Wenner-Schlumberger configuration. </p> <p>This research was funded by National Science Centre, Poland MINIATURA-5 2021/05/X/ST10/00673 “Post-remediation evaluation of contaminated site using geophysical methods”</p>
Post-remediation evaluation of contaminated site using geophysical methods: soilpits
<p>Discription of soilpits.</p> <p>This research was funded by National Science Centre, Poland MINIATURA-5 2021/05/X/ST10/00673 “Post-remediation evaluation of contaminated site using geophysical methods”</p> <p> </p>
Post-remediation evaluation of contaminated site using geophysical methods: chemical analysis
<p>The total concentration of trace elements analysis (of Al, As, Cd, Co, Cr, Cu, Fe, K, Li, Mn, Mo, Ni, Pb, Sb, Sn, Sr, Tl, Zn) was determined using ICP-ES for 50 samples and BCR sequential extraction for 20 samples.</p> <p>This research was funded by National Science Centre, Poland MINIATURA-5 2021/05/X/ST10/00673 “Post-remediation evaluation of contaminated site using geophysical methods”.</p> <p> </p>
Post-remediation evaluation of contaminated site using geophysical methods: GPR
<p>GPR measurements were conducted using RAMAC/GPR pulse radar with a CUII control unit (ABEM Malå Guideline Geo) with 500 MHz and 800 MHz shielded antennas. The time window was set as 61 ns and 98 ns, respectively, for 800 MHz and 500 MHz. The sampling frequency was set as 10 times the antenna frequency and the number of signals as 500 for both antennas for the best performance of the measurements. </p> <p>This research was funded by National Science Centre, Poland MINIATURA-5 2021/05/X/ST10/00673 “Post-remediation evaluation of contaminated site using geophysical methods”</p>
Data for "Influences of Glyphosate Contaminations and Concentrate Feed on Performance, Blood Parameters, Blood Cell Functionality and DNA Damage Properties in Fattening Bulls"
<p>The deposited data consist of three data tables and three tables containing legends for the data:</p> <p><a href="https://zenodo.org/api/files/afb9373a-d44c-4441-ba97-052c0b6ec1b6/oneTimepoint.txt">oneTimepoint.txt</a> contains data from statistical tests within one timepoint; <a href="https://zenodo.org/api/files/afb9373a-d44c-4441-ba97-052c0b6ec1b6/oneTimepoint_legend.txt">oneTimepoint_legend.txt</a> contains the corresponding legend.</p> <p><a href="https://zenodo.org/api/files/afb9373a-d44c-4441-ba97-052c0b6ec1b6/threeTimepoints.txt">threeTimepoints.txt</a> contains data from statistical tests inclduing three distinct timepoints; <a href="https://zenodo.org/api/files/afb9373a-d44c-4441-ba97-052c0b6ec1b6/threeTimepoints_legend.txt">threeTimepoints_legend.txt</a> contains the corresponding legend.</p> <p><a href="https://zenodo.org/api/files/afb9373a-d44c-4441-ba97-052c0b6ec1b6/Performance.txt">Performance.txt</a> contains data from statistical tests inclduing two time periods in fattening; <a href="https://zenodo.org/api/files/afb9373a-d44c-4441-ba97-052c0b6ec1b6/Performance_legend.txt">Performance_legend.txt</a> contains the corresponding legend.</p>
Data of the paper "Combining Blue Light and Yellow Curcumin to Obtain a "Green" Tool for Berry Preservation against Bacterial Contamination: A Preliminary Investigation" by I Stura et al.
<p>This file contains the data of three experiments on berries' preservation by a coating of curcumin+beta-cyclodestrin.</p> <p>Microbiological data of the three experiments are summarized (number of colonies). The measures are given for each berry's type at T0, after 24 and 48 hours. We considered both smoothed berries and only washing water as starting samples.</p>
Data for: Combined threats of climate change and contaminant exposure through the lens of bioenergetics
<p>This dataset contains a detailed description of studies identified by a review examining interactive effects of climate change-sensitive environmental variables and chemical contaminant exposure.</p>
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Allen Brain Atlas
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International Brain Laboratory public data
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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.