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302 results for “microplastic”
Effect of Microplastic Particles on the Rheological Properties of Human Saliva and Mucus
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Data and code for the publication "Assessing the Behavior of Microplastics in Fluvial Systems: Infiltration and Retention Dynamics in Streambed Sediments" - Part 2(2)
<p><strong>Background</strong></p><p>The dataset contains data on Microplastic transport experiments run in an experimental flume of the University of Bayreuth. It was analysed in the paper by J.P. Boos, F. Dichgans, J.H. Fleckenstein, B.S. Gilfedder and S. Frei, "Assessing the Behavior of Microplastics in Fluvial Systems: Infiltration and Retention Dynamics in Streambed Sediments", currently under review in Water Resources Research</p><p> </p><p><strong>Description of the dataset</strong></p><p>This dataset contains data used for individual particle detection, and is a companion of the main dataset (10.5281/zenodo.10083568). The files need to be downloaded and merged into the given folder structure. Put the folder "1Pix" along with the folder "10Pix" to the folder in "210812/Data-FIS/matlab/2_Experiment/exp/".</p><p> </p><p><strong>Disclaimer</strong></p><p>The data and code are provided as is without any warranty.</p><p> </p><p><strong>Funding</strong></p><p>Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) -– Project Number 391977956 –- SFB 1357.</p>
Data and code for the publication "Assessing the Behavior of Microplastics in Fluvial Systems: Infiltration and Retention Dynamics in Streambed Sediments" - Part 1(2)
<p><strong>Background</strong></p><p>The dataset contains data on Microplastic transport experiments run in an experimental flume of the University of Bayreuth. It was analysed in the paper by J.P. Boos, F. Dichgans, J.H. Fleckenstein, B.S. Gilfedder and S. Frei, "Assessing the Behavior of Microplastics in Fluvial Systems: Infiltration and Retention Dynamics in Streambed Sediments", currently under review in Water Resources Research</p><p> </p><p><strong>Description of the dataset</strong></p><p>This dataset is the main dataset used for the analysis. There is a twin archive connected to this one, which contains the dataset which was used for the individual particle detection routines (10.5281/zenodo.10081788). The files have to be downloaded and merged into the folder structure.</p><p>The following data is included</p><ul><li>individual experimental data and results in the folders<ul><li><strong>210812</strong> (10 µm, coarse sand, low-flow)</li><li><strong>220727</strong> (1 µm, coarse sand, low flow)</li><li><strong>220803</strong> (3 µm, coarse sand, low-flow)</li><li><strong>220818</strong> (1 µm, fine sand, low-flow)</li><li><strong>220901</strong> (1 µm, coarse sand, high-flow)</li></ul></li><li><strong>Comparison</strong> (comparing individual results of the experiments)</li><li><strong>Scripts</strong> (contains the individual matlab scripts)</li><li><strong>labbook.xlsx</strong> (contains metadata on the experiments, which are read out in the matlab scripts)</li></ul><p> </p><p><strong>Description of the code</strong></p><p>The matlab scripts *.m contain the code to read and analyse all experimental data. The scripts are divided for the different input file types.</p><ul><li>Main scripts to analyze experimental data<ul><li><strong>Experiment_Main.m </strong>Main routine for individual experiments, reading and analysing Fluorometer, Levelogger, Flowmeter, Ultrasonics PIV</li><li><strong>Experiment_Main_Compare.m </strong>Comparison of individual experiment results</li></ul></li><li>FIS-dataset<ul><li><strong>FIS_Cal_Individual.m: </strong>Realizes individual calibrations of one experiment</li><li><strong>FIS_Cal_Result.m: </strong>Merges individual calibrations of one experiment</li><li><strong>Experiment_FIS.m: </strong>Load data of one experiment, detect interfaces. Followed by<ul><li><strong>Experiment_FIS_1pix</strong>: Individual particle detection (for 10 µm experiment, no binning)</li><li><strong>Experiment_FIS_10pix</strong>: Particle cloud analysis (all experiments, binning 10 Pix * 10 Pix)</li></ul></li><li><strong>Experiment_FIS_10pix_compare.m: </strong>Compare results of particle cloud analysis for all experiments.</li></ul></li><li>Fluo-data<ul><li><strong>Fluo_Cal.m </strong>Realizes calibration for Fluorometer devices</li></ul></li><li>PIV-dataset<ul><li><strong>PIV_individual.m </strong>Individual analysis of Particle Image Velocimetry (in total 9 different subdatasets, from 3 camera positions, and each 3 different illumination positions)</li><li><strong>PIV_merge.m </strong>Merge<strong> </strong>9 individual results of PIV for a result for one experiment</li></ul></li><li>Profiler-dataset<ul><li><strong>Profiler.m </strong>Analyses data from bedform profiling (merging individual measurements after the experiment)</li><li><strong>Profiler_Compare.m </strong>Compares bedform elevations and metrics between the 5 experiments (acquired after the experiment)</li><li><strong>Profiler_Time.m </strong>Analyses temporal change of bedform elevation during the experiment</li></ul></li></ul><p> </p><p><strong>Disclaimer</strong></p><p>The data and code are provided as is without any warranty.</p><p> </p><p><strong>Funding</strong></p><p>Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) -– Project Number 391977956 –- SFB 1357.</p>
Data and Code for High Throughput FTIR Analysis of Macro and Microplastics with Plate Readers
<p>Data and source code for reproducing the analysis conducted in "High Throughput FTIR Analysis of Macro and Microplastics with Plate Readers"</p><p>All materials are licensed for noncommercial purposes https://creativecommons.org/licenses/by-nc/4.0/</p><p><strong>Explanatory_Videos.zip has videos showing data collection methods. </strong></p><p><strong>HIDA_Publication.R has source code for doing data cleanup and analysis on data in database.zip. </strong></p><p><strong>databasedata.zip holds all raw and analyzed data. </strong></p><p>- ATR, Reflectance, and Transmission folders has all data used in the manuscript. In a raw (.0) and combined (export.csv) format for each of the plates analyzed (folder numbers). </p><p>- Plots folder has images of each spectrum. </p><p>- cell_information.csv has the raw ids and comments made at the time the particles were assessed. </p><p>- classes_reference_2.csv has the transformations used to standardize open specy's terms to polymer classes. </p><p>- CleanedSpectra_raw.csv has the total cleaned up database of all spectral intensities in long format. </p><p>- joined_cell_metadata.csv has the metadata for each plate well analyzed. </p><p>- library_metadata.csv has metadata for each spectrum in raw form for each particle id. </p><p>- Lisa_Plate_6.csv has the metadata from Lisa Roscher used in this study. </p><p>- Metadata_raw.csv has the conformed metadata that can be paired with the CleanedSpectra_raw.csv file. </p><p>- OpenSpecy_Classification_Baseline.csv has the particle metadata combined with Open Specy's classes identified after baseline correcting and smoothing the spectra with the standard Open Specy routine.</p><p>- OpenSpecy_Classification_Raw.csv has the particle metadata combined with Open Specy's identified classes if using the raw spectra. </p><p>- particle_spectrum_match.csv converts particle ids to their reference in the Polymer_Material_Database_AWI_V2_Win.xlsx file. </p><p>- Polymer_Material_Database_AWI_V2_Win.xlsx metadata on materials from Primpke's database. </p><p>- polymer_metadata_2.csv can be used to crosswalk polymer categories to more or less specific terminology. </p><p>- spread_os.csv is the reference database used in CleanedSpectra_raw.csv that has been spread to wide format.</p><p>- Top Correlation Data20221201-125621.csv is a download of results from Open Specy's beta tool that provides the top ids from the reference database. </p><p> </p>
Monitoring microplastics in the Seine River in the Greater Paris area 2021-2022
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Raw data for the submitted manuscript: Response of the terrestrial crustacean Porcellio scaber and the mealworm Tenebrio molitor to agricultural microplastics exposure: comparison of nondegradable and biodegradable fossil-based mulching films
<p>We uploaded two datasets on the response of terrestrial crustacean Porcellio scaber and the mealworm Tenebrio molitor to agricultural microplastics exposed in soil for 3 weeks and 4 weeks, respectively. </p> <p>a) <strong>Dataset</strong> "Response of the terrestrial crustacean Porcellio scaber to agricultural microplastics in soil" contains data on: electron transfer system activity, haemocyte viability, and share of hyalinocytes, semigranulocytes and granulocytes in haemolymph. </p> <p>b) <strong>Dataset</strong> "Response of the mealworm Tenebrio molitor to agricultural microplastics in soil" contains data on: larval moult and growth and animal survival </p> <p>These datasets are linked to publication entitled: Response of the terrestrial crustacean Porcellio scaber and the mealworm Tenebrio molitor to agricultural microplastics exposure: comparison of nondegradable and biodegradable fossil-based mulching films. Methods are described in detail in publication. Manuscript under review. </p>
Raw data for the submitted manuscript: Multigenerational effects of agricultural microplastics on the mealworm Tenebrio molitor
<p>Dataset "Multigenerational effects of agricultural microplastics on the mealworm Tenebrio molitor" contains data on the moult, growth. development and survival of mealworms exposed to microplastics in food over two generations. Datasets are part of publication entitled: Multigenerational effects of agricultural microplastics on the mealworm Tenebrio molitor which is currently under review. </p> <p> </p>
Data for the publication "Ejection of marine microplastics by raindrops: a computational and experimental study"
<p>This archive contains all simulation data generated for the publication "Ejection of marine microplastics by raindrops: a computational and experimental study". The full FluidX3D simulation source code is available from the corresponding author upon reasonable request.</p>
Clearance rates of Mytilus edulis exposed to parasites and microplastic
<p>Fear is an integral part of predator-prey interactions with cascading effects on the structure and function of ecosystems. Fear of parasitism holds a similar ecological potential but our understanding of the underlying mechanisms in host-parasite interactions is limited by lack of empirical examples. Here, we experimentally test if blue mussels <em>Mytilus edulis </em>respond behaviourally to the mere presence of infective transmission stages of the trematode <em>Himasthla elongata</em> by ceasing filtration activity, thereby avoiding infection. Our results show that blue mussels reduced clearance rates by more than 30% in presence of parasites. The reduced filtration activity resulted in lower infection rates in experimental mussels. The identified parasite-specific avoidance behaviour can be expected to play a significant role in regulating the ecosystem engineering function of blue mussels in coastal habitats.</p>
Figure 3 in Phytoplankton Exopolymers Enhance Adhesion of Microplastic Particles to Submersed Surfaces
Figure 3. Aggregates of 4.3-µm fluorescent microsphere settled at the bottom of the experimental vessels with Rhodomonas salina (RHO), Tetraselmis suecica (TET) and the reference vessel (CNL) on the fourth day of experiment. Micrographs were obtained in light (top) and fluorescent (bottom) modes. Arrows show organic matrix stained by Alcian Blue. The microspheres fluoresce in green.
Figure 1 in Microplastics and phagotrophic soil protists: evidence of ingestion
Figure 1. Ciliated protist observed under phase contrast (A) and fluorescence (B) microscopy using 50x amplification on a Leica DM5500B microscope. These images are still frames captured from a video supplied as supplementary material. The arrows indicate the food vacuoles containing fluorescent microplastic spheres 1–5 µm in diameter, and the scale bar is an estimated 50 µm.
Figure 2 in Microplastics and phagotrophic soil protists: evidence of ingestion
Figure 2. Abundance of protists observed in: (A) Trial 1 with three microplastic addition treatments (i.e., 0, 1 and 10 mg g-1) up to 14 days after the onset of the trial, and; (B) Trial 2 with two microplastic addition treatments (i.e., 0, and 3 mg g-1) up to 21 days after the onset of the trial. Each time point per treatment represents the mean of protists (n = 10). Error bars represent the standard error of the mean.
Figure 5 in The microplastic pattern in Turkish lakes: sediment and bivalve samples from Çıldır Lake Almus Dam Lake, and Kartalkaya Dam Lake
Figure 5. Microplastic abundance (per individual and g soft tissue fresh / wet weight) (a), polymer characterization (b), and shape (c) of microplastics collected from bivalve samples from three lakes. Different capitals (A, B, C) show significant differences among sampling stations. Different letters (a and b) show significant differences among bivalve species.
Figure 8 in Microplastics in commercial fish digestive tracts from freshwater habitats in Northern Thailand
Figure 8. Comparison of abundance of plastics among fishes from different habitat groups (demersal, benthopelagic, and pelagic fishes).
Microplastic deposit predictions on sandy beaches by geotech-nologies and machine learning models
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Contamination from microplastics and other anthropogenic particles in the digestive tracts of the commercial species Engraulis encrasicolus and Sardina pilchardus
<p><strong>Dataset of microplastics and other anthropogenic particles found on stomach contents of anchovy and sardines in the gulf of Cadiz (Europe)<br> Dataset with date, longitude and latitude, species, area, sub-area, distance to Guadiana river mouth measured in kilometers (Guadiana), distance to Guadalquivir river mouth measured in kilometers (Guadalquivir), distance to the Bay of Cadiz measured in kilometers (Cadiz), distance to Huelva city measured in kilometers (Huelva), Individual, size (Cm), total weight (g), stomach weight (g), Relative condition index (Kn), Gonadosomatic index (GSI), sex, number of fibres and number of “others anthropogenic particles”.</strong></p> <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>
Particle tracking algorithm and additional data for "Optimized and Validated Settling Velocity Measurement for Small Microplastic Particles (10–400 µm)"
<p>This repository provides additional files for in the publication "Optimized and Validated Settling Velocity Measurement for Small Microplastic Particles (10–400 µm)" by Stefan Dittmar, Aki Sebastian Ruhl and Martin Jekel (DOI: <a href="https://www.doi.org/10.1021/acsestwater.3c00457">10.1021/acsestwater.3c00457</a>) </p><p>It contains:</p><p>- image processing routine for particle tracking written in Python (<strong>1_particle_tracking_algorithm.zip</strong>)<br>- single particle raw data from settling experiments (<strong>2_settling_data.zip</strong>)<br>- single particle data from appyling empirical model for interactions between settling particles (<strong>3_model_results_data.zip</strong>)<br>- additional video & animated graph referenced in publication or SI (<strong>4_videos.zip</strong>)</p>
Additional data for "Settling Velocities of Small Microplastic Fragments and Fibers"
<p>This repository provides additional files for the publication "Settling Velocities of Small Microplastic Fragments and Fibers" by Stefan Dittmar, Aki Sebastian Ruhl, Korinna Altmann and Martin Jekel (DOI: <a href="https://doi.org/10.1021/acs.est.3c09602">10.1021/acs.est.3c09602</a>). Please also see the respective correction of this paper (<a href="\'https://doi.org/10.1021/acs.est.5c08557\'">10.1021/acs.est.5c08557</a>.), which included an update of this repository.</p> <p>It contains:<br><br>- single particle raw data from settling experiments (<strong>1_settling_data.zip</strong>)<br>- drag coefficients computed for each measured MP fragment and fiber (<strong>2_drag_coefficients.zip</strong>)<br>- guide (.pdf) for preparing microfibers following the protocol by M. Cole (2016, DOI: <a href="https://doi.org/10.1038/srep34519">10.1038/srep34519)</a> and length measurements of produced fiber fractions (<strong>3_cryosectioning.zip</strong>)</p> <p>Please consider the included readme files ('0_README_settling_data.txt', '0_README_drag_coefficients.txt', '0_README_length_measurements.txt') and revisit main publication and supplement information for further context on this data set.</p> <div> <div> <div> </div> <div> <div> <div> </div> <div> <p> </p> <p> </p> </div> </div> </div> </div> </div>
Microplastics in Paraneoplastic and Intratumoral for Colorectal Cancer
ClinicalTrials.gov study NCT07063550. IPD Sharing: NO. Countries: 1. Publications: 0.
Identification of Microplastics in Liver, Stomach, Blood, and Feces of Obese Patients and Their Association Analysis with Macrogenomics and Metabolomics.
ClinicalTrials.gov study NCT06826586. IPD Sharing: NO. Countries: 1. Publications: 0.
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International Brain Laboratory public data
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OpenNeuro
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