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302 results for “Microplastics”
Raw data for the manuscript: Survival and reproduction effects of microplastics from three agricultural mulching films on Folsomia candida, Sinella curviseta, Heteromurus nitidus and Ceratophysella denticulata (Collembola)
<p>Survival and reproduction data from single species tests involving four Collembola species and three types of plastic materials.</p>
Interrelationship between Microplastics, soil and soil attributes
<p>Database that was used for the investigation of the interrelationship between Microplastics, terrain and soil attributes in a sub-basin in the state of Minas Gerais, Brazil.</p>
Data from: Extraction and identification of a wide range of microplastic polymers in soil and compost
<p>Microplastic (MP) pollution is globally widespread, however their presence in soil systems is poorly understood due to complexity of soil and lack of standardised extraction methods. Datasets provided contain data from optimisation (recoveries) of MPs extraction protocol from soil and compost based on olive oil and density separation using zinc chloride, in case of low-density polyethylene and polyethylene terephthalate. Density separation was further used to extract five microplastic polymers (PET, PS, PE, PP and PVC), added to soil and compost at different concentrations, which is also included in the dataset. Additionally, identification data of extracted MPs from spiked soil and compost samples.</p>
Detection and characterization of small-sized microplastics (≥ 5 µm) in milk products
<p><strong>Data used in the scientific article to be published in Nature Scientific Reports.</strong></p>
Data and code for the publication "Microplastics in water and sediments at the confluence of the Elbe and Mulde rivers in Germany"
<p><strong>Background</strong></p> <p>The data set contains data on visual and chemical analysis of sediment and water samples taken at the confluence of the Elbe and the Mulde rivers in Germany. It was analysed in the paper by H. Laermanns, G. Reifferscheid, J. Kruse, C. Földi, G. Dierkes, D. Schaefer, C. Scherer, C. Bogner and F. Stock, 2021, “Microplastics in water and sediments at the confluence of the Elbe and Mulde rivers in Germany” (<a href="https://doi.org/10.3389/fenvs.2021.794895">https://doi.org/10.3389/fenvs.2021.794895</a>) published in Frontiers in Environmental Science, Research Topic: “Plastics in Aquatic Systems: from Transport and Fate to Impacts and Management Perspectives”.</p> <p> </p> <p><strong>Description of the dataset</strong></p> <p>The data is available in the folder <strong>data_and_results.zip</strong>, and there in the folder <strong>data</strong>. The folder <strong>pyrolysis</strong> contains the file</p> <ul> <li><strong>pyr-gc-ms_raw.csv</strong>. This is the pyrolysis analysis (see description in the paper for technical details). The calibration data are part of the supplemental material of the paper and can be downloaded there.</li> </ul> <p>The folder <strong>visual_analysis</strong> contains the files</p> <ul> <li><strong>elbe_filter_photos_complete_v2.csv</strong>: IDs of samples, number of the photographs of filters, shapes of particles located on the filter</li> <li><strong>elbe_samples_v2.csv</strong>: IDs of samples, medium (water or sediment sample), location and side (left or right riverside) of sampling, sampling tool, sampled volume and mesh size.</li> </ul> <p>The folder <strong>results</strong> contains the figures produced by the R code (see <strong>Description of the code</strong>).</p> <p> </p> <p><strong>Description of the code</strong></p> <p>The file <strong>MP_visual_and_chemical_analysis.Rmd</strong> is the R notebook we wrote for the analysis. For information on the software version, see <strong>Information on software version </strong>below<strong>.</strong></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>Acknowledgements</strong></p> <p>We thank the staff of the BfG laboratory for their support during the pyr-GC-MS analysis. Julia Horn helped with geochemical and sedimentological measurements in the laboratory of the Institute of Geography at the University of Cologne.</p> <p> </p> <p><strong>Funding</strong></p> <p>This study is embedded in the Project “Micro- and macroplastic in federal water ways of Germany” (Project 4.1.12, Project No. M39620304028) that intends to analyse the occurrence, transport mechanism, ecological risks and management options. This project was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation), Project Number 391977956, SFB 1357.</p> <p> </p> <p><strong>References</strong></p> <p>Hannes Laermanns, Georg Reifferscheid, Jonas Kruse, Corinna Földi, Georg Dierkes, Dirk Schaefer, Christian Scherer, Christina Bogner and Friederike Stock, 2021, Microplastics in water and sediments at the confluence of Elbe and Mulde rivers in Germany, <a href="https://doi.org/10.3389/fenvs.2021.794895">https://doi.org/10.3389/fenvs.2021.794895</a></p> <p>R Core Team, 2021, R: A Language and Environment for Statistical Computing, R Foundation for Statistical Computing, https://www.R-project.org/</p> <p> </p> <p><strong>Information on software version</strong></p> <p>sessionInfo()</p> <p>R version 4.1.0 (2021-05-18)<br> Platform: x86_64-pc-linux-gnu (64-bit)<br> Running under: Ubuntu 20.10</p> <p>Matrix products: default<br> BLAS: /usr/lib/x86_64-linux-gnu/atlas/libblas.so.3.10.3<br> LAPACK: /usr/lib/x86_64-linux-gnu/atlas/liblapack.so.3.10.3</p> <p>locale:<br> [1] LC_CTYPE=de_DE.UTF-8 LC_NUMERIC=C <br> [3] LC_TIME=de_DE.UTF-8 LC_COLLATE=de_DE.UTF-8 <br> [5] LC_MONETARY=de_DE.UTF-8 LC_MESSAGES=de_DE.UTF-8 <br> [7] LC_PAPER=de_DE.UTF-8 LC_NAME=C <br> [9] LC_ADDRESS=C LC_TELEPHONE=C <br> [11] LC_MEASUREMENT=de_DE.UTF-8 LC_IDENTIFICATION=C </p> <p>attached base packages:<br> [1] stats graphics grDevices utils datasets<br> [6] methods base </p> <p>other attached packages:<br> [1] lubridate_1.8.0 patchwork_1.1.1 ggforce_0.3.3 <br> [4] gridExtra_2.3 RColorBrewer_1.1-2 forcats_0.5.1 <br> [7] stringr_1.4.0 dplyr_1.0.7 purrr_0.3.4 <br> [10] readr_2.0.2 tidyr_1.1.4 tibble_3.1.6 <br> [13] ggplot2_3.3.5 tidyverse_1.3.1 </p> <p>loaded via a namespace (and not attached):<br> [1] httr_1.4.2 sass_0.4.0 bit64_4.0.5 <br> [4] vroom_1.5.5 jsonlite_1.7.2 modelr_0.1.8 <br> [7] bslib_0.3.1 assertthat_0.2.1 highr_0.9 <br> [10] cellranger_1.1.0 yaml_2.2.1 sessioninfo_1.1.1<br> [13] pillar_1.6.4 backports_1.2.1 glue_1.5.0 <br> [16] digest_0.6.28 polyclip_1.10-0 rvest_1.0.0 <br> [19] colorspace_2.0-2 htmltools_0.5.2 pkgconfig_2.0.3 <br> [22] broom_0.7.6 haven_2.4.1 scales_1.1.1 <br> [25] tweenr_1.0.2 tzdb_0.2.0 generics_0.1.1 <br> [28] farver_2.1.0 ellipsis_0.3.2 withr_2.4.2 <br> [31] cli_3.1.0 magrittr_2.0.1 crayon_1.4.2 <br> [34] readxl_1.3.1 evaluate_0.14 fs_1.5.0 <br> [37] fansi_0.5.0 MASS_7.3-54 xml2_1.3.2 <br> [40] tools_4.1.0 hms_1.1.1 lifecycle_1.0.1 <br> [43] munsell_0.5.0 reprex_2.0.0 compiler_4.1.0 <br> [46] jquerylib_0.1.4 rlang_0.99.0.9000 grid_4.1.0 <br> [49] rstudioapi_0.13 labeling_0.4.2 rmarkdown_2.11 <br> [52] gtable_0.3.0 DBI_1.1.1 R6_2.5.1 <br> [55] knitr_1.36 fastmap_1.1.0 bit_4.0.4 <br> [58] utf8_1.2.2 rprojroot_2.0.2 desc_1.3.0 <br> [61] stringi_1.7.5 parallel_4.1.0 Rcpp_1.0.7 <br> [64] vctrs_0.3.8 dbplyr_2.1.1 tidyselect_1.1.1<br> [67] xfun_0.28</p>
Data and code for the publication "Tracking microplastics across the streambed interface: Using laser-induced fluorescence to quantitatively analyze microplastic transport in an experimental flume"
<p>This archive contains datasets and codes that were used in the publication "Tracking microplastics across the streambed interface: Using laser-induced fluorescence to quantitatively analyse microplastic transport in an experimental flume".</p>
Chemical composition of microplastics floating on the surface of the Mediterranean Sea
<p>This dataset describes the types and proportions of the different microplastic types in samples collected from the surface waters during the Tara Mediterranean expedition in 2014.</p> <p>The main polymers identified by Fourier Transform Infra-Red (FTIR) spectroscopy were poly(ethylene) (67.3 ± 2.4%), poly(propylene) (20.8 ± 2.1%) and poly(styrene) (3.0 ± 0.9%). N</p>
River microplastic field data locations associated with publication
<p>Field data locations associated with Piehl et al (2020) Can Water Constituents Be Used as Proxy to Map Microplastic Dispersal Within Transitional and Coastal Waters? doi: <a href="https://www.frontiersin.org/articles/10.3389/fenvs.2020.00092/full">10.3389/fenvs.2020.00092</a>. Full dataset table, including water quality measurements and sampled microplastic concentrations, can be found in the Supplemental Material of that publication. </p>
A Peristaltic Pump and Filter-Based Method for Aqueous Microplastic Sampling and Analysis
<p>Sampling the aquatic environment for microplastic concentration is inherently difficult because of variations in microplastic concentration, shape, and density and the potential for contamination. We present an assessment of a method for microplastic sampling that uses a peristaltic pump to pump water through a series of in-line stainless-steel mesh filters. Following filtration, the stainless-steel filters were treated using previously published methods to isolate microplastics, adjusted for the stainless-steel mesh filters. Microplastics were identified using micro-Fourier Transform Infrared (µFTIR) spectroscopy in transmission mode. This method was tested in the laboratory using standard polyethylene beads and was applied to two sample sites at the Las Vegas Wash in Nevada. The results showed 70% of the polyethylene beads were recovered after the peristaltic pump and laboratory steps with minimal blank contamination. The advantages of the peristaltic pump sampling method are it (1) supports a range of sample volumes, (2) reduces sample handling, (3) reduces the potential for contamination, (4) provides flexibility in sampling locations, and (5) supports a variety of filter types. Using stainless-steel mesh filters allows for (1) streamlined and direct field-to-laboratory sample processing, (2) µFTIR transmission mode analysis of filter-mounted microplastics, and (3) reduced filter and sample processing costs.</p>
Dataset of Paper "Microplastics in fresh- and wastewater are potential contributors to antibiotic resistance - A minireview"
<p>Dataset of Paper "Microplastics in fresh- and wastewater are potential contributors to antibiotic resistance - A minireview"</p> <ul> <li>Table 2. Reported abundance and characteristics of MPs in freshwater and wastewater in literature.</li> <li>Table 3. Abundance and characteristics of antibiotic resistant elements in freshwater and wastewater.</li> </ul>
Reviewed Articles from the study "Running away to sea: a theoretical model of anthropogenic factors contribution for microplastics transportation from rivers to the ocean".
<p>Table containing the papers reviewed from the study "Running away to sea: a theoretical model of anthropogenic factors contribution for microplastics transportation from rivers to the ocean". </p>
Data for Recovery from microplastic-induced marine deoxygenation may take centuries
<p>Data to accompany the revised manuscript Recovery from microplastic-induced marine deoxygenation may take centuries by K. Kvale and A. Oschlies</p>
Bottom water mediated microplastics distribution in water and sediment in the Yangtze River Estuary and East China Sea
<p>This database included the original data of water parameters, microplastics abundance, microplastics size, shape, color and shape. </p>
Raw data for the manuscript: Multigenerational toxicity of microplastics derived from two types of agricultural mulching films to Folsomia candida
<p>Survival and reproduction data from multigenerational single species tests involving two types of plastic materials.</p>
Dataset behind review manuscript "Macrolitter and microplastics along the East Pacific coasts – a homemade problem needing local solutions"
<p>Dataset containing data on abundance, distribution, composition and sources of marine litter (macrolitter and microplastics) along the East Pacific region, generated by reviewing all the peer-reviewed literature published for the region until December 2023. The results of this literature review are presented in the manuscript "Macrolitter and microplastics along the East Pacific coasts – a homemade problem needing local solutions".</p> <p>All the data extracted from the literature are included in the sheets "MacroData" and "MicroData", corresponding to "macrolitter" and "microplastic" studies, respectively. The sheet "Legend_MacroData&MicroData" contains the metadata for the sheets "MacroData" and "MicroData". All the remaining sheets contain the data utilized for the elaboration of the graphs and figures presented in the manuscript.</p>
Data from: Microplastic exposure is associated with epigenomic effects in the model organism Pimephales promelas (fathead minnow)
<p>Microplastics have evolutionary and ecological impacts across species, affecting organisms' development, reproduction, and behavior along with contributing to genotoxicity and stress. As plastic pollution is increasing and ubiquitous, gaining a better understanding of organismal responses to microplastics is necessary. Gene methylation is a heritable form of molecular regulation that is influenced by environmental conditions, including exposure to pollutants, therefore determining epigenetic responses to microplastics will reveal potential chronic consequences of this pollutant. We performed an experiment across two generations of fathead minnows (<em>Pimephales promelas</em>) to elucidate transgenerational effects of microplastic exposure. We exposed the first generation of fish to four different treatments of microplastics: two concentrations of each of pre-consumer polyethylene (PE) and PE collected from Lake Ontario. We then raised the second generation from these parents with no microplastic exposure. We used reduced-representation methylation sequencing on adult liver tissue and homogenized larvae to evaluate DNA methylation differences among treatments, sexes, and generations. Our findings show the origin of the plastic had a larger effect in female minnows whereas the effect of concentration was stronger in the males. We also observed transgenerational effects, highlighting a mechanism in which parents can pass on the effects of microplastic exposure to their offspring. Many of the differentially methylated genes found in our analyses are known to interact with estrogenic chemicals associated with plastic and are related to metabolism. This study highlights the persistent and potentially serious impacts of microplastic pollution on gene regulation in freshwater systems.</p>
Species-dependent responses of crop plants to polystyrene microplastics
<p>Only recently there has been a strong focus on the impacts of <a href="https://www.sciencedirect.com/topics/earth-and-planetary-sciences/microplastics">microplastics</a> on terrestrial crop plants. This study aims to examine and compare the effects of microplastics on two monocotyledonous (barley, <em>Hordeum vulgare</em> and wheat, <em>Triticum aestivum</em>), and two dicotyledonous (carrot, <em>Daucus carota</em> and lettuce, <em>Lactuca sativa</em>) <a href="https://www.sciencedirect.com/topics/earth-and-planetary-sciences/plant-specie">plant species</a> through two complimentary experiments. First, we investigated the effects of low, medium, and high (103, 105, 107 particles per mL) concentrations of 500 nm <a href="https://www.sciencedirect.com/topics/earth-and-planetary-sciences/polystyrene">polystyrene</a> microplastics (PS-MPs) on seed germination and early development. We found species-dependent effects on the early development, with microplastics only significantly affecting lettuce and carrot. When acutely exposed during germination, PS-MPs significantly delayed the germination of lettuce by 24%, as well as promoted the shoot growth of carrot by 71% and decreased its biomass by 26%. No effect was recorded on monocot species. Secondly, we performed a chronic (21 d) hydroponic experiment on lettuce and wheat. We observed that PS-MPs significantly reduced the shoot growth of lettuce by up to 35% and increased its biomass by up to 64%, while no record was reported on wheat. In addition, stress level indicators and defence mechanisms were significantly up-regulated in both lettuce and wheat seedlings. Overall, this study shows that PS-MPs affect plant development: impacts were recorded on both germination and growth for dicots, and responses identified by biochemical markers of stress were increased in both lettuce and wheat. This highlights species-dependent effects as the four crops were grown under identical conditions to allow direct comparison. For future research, our study emphasizes the need to focus on crop specific effects, while also working towards knowledge of plastic-induced impacts at environmentally relevant conditions.</p>
Fig. 2 in Transportation of microplastic during high-flow and low-flow seasons in southeastern Black Sea: A modelling approach
Fig. 2 — Mountly mean wind, and current during high-flow (a, b) and low-flow (c, d) seasons
Fig. 1 in Transportation of microplastic during high-flow and low-flow seasons in southeastern Black Sea: A modelling approach
Fig. 1 — Map of the study area and microplastic release point
Microplastics promote the invasiveness of invasive alien species under fluctuating water regime
<p>Microplastic pollution and alien plant invasions are two important threats to terrestrial ecosystems. Microplastics (MPs) alter the physical and chemical characteristics of soil, potentially affecting the performance of alien plants. However, previous studies have overlooked the impact of weather on invasive plants in areas polluted by MPs. With the global increase in extreme rainfall events, it is imperative to redefine the correlation between MPs and invasive plants. Here, we conducted an experiment in a climate chamber to examine the effects of MPs on the growth and development of both native and invasive alien plants under a constant and fluctuating water regime (FWR). The FWR simulated extreme water pulses during the 2016-2020 growing seasons in Wuhan, China. Our results indicated that biomass accumulation and roots development were influenced by water conditions and MPs pollution in both invasive and native species. The extent of the effects varied between the two groups of plant species. FWR promoted plant growth and fine root development in invasive plants but reduced the maximum quantum efficiency of photosystem II (<em>F</em><em><sub>v</sub></em><em>/F</em><em><sub>m</sub></em>) and nonphotochemical quenching (<em>NPQ</em>) indices of native plants. Moreover, FWR attenuated the negative effects of polybutylene succinate (PBS, degradable MPs) on biomass and root characteristics (length, surface area, and tips). FWR compensates for the negative impacts of MPs on the total and belowground biomass of the invasive species <em>Paspalum dilatatum</em> and <em>Sphagneticola trilobata</em>, but not on the native species. Consequently, invasive species showed better performance than native species in the fine-root development of biomass growth and chlorophyll fluorescence under the combined effects of MPs and FWR.</p> <p><em>Synthesis and Applications</em>. Our findings suggest that MPs pollution enhances the competitiveness of invasive alien species over the native species when exposed to pronounced dry-wet water cycle conditions, potentially affecting the composition and biodiversity of the ecosystems. Thus, controlling MPs pollution should be a part of the management strategy to conserve biodiversity and ecosystems.</p>
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
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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.