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154 results for “Heavy metals”
Figure 3 in Іnfluence of some heavy metals to the pulmonary and direct diffusive respiration of the great ramshorn Planorbarius corneus allospecies (Mollusca: Gastropoda: Planorbidae) from the Ukrainian river system
Figure 3. Photo of habitat Planorbarius corneus from Hnyla River (Horodnytsia village, Ternopil region) in 2021 (Photos: Yuliia V. Babych).
Figure 1 in Іnfluence of some heavy metals to the pulmonary and direct diffusive respiration of the great ramshorn Planorbarius corneus allospecies (Mollusca: Gastropoda: Planorbidae) from the Ukrainian river system
Figure 1. Shells of Planorbarius corneus s. lato. (A – allospecies "western", B – allospecies "eastern"): 1 – top view; 2 – bottom view; 3 – side view. Scale bars: 10 mm. (Photos: Yuliia V. Babych).
Figure 2 in A Physiological behavior and tolerance of Lactuca sativa to lead nitrate and silver nitrate heavy metals
Figure 2. Leaves of lettuce under lead and silver nitrate concentrations. A: 0 mg.Kg-1 Pb and Ag; B: 12,5 mg.Kg-1 Ag; C: 25 mg.Kg-1 Ag; D: 37 mg.Kg-1 Ag; E: 90 mg.Kg-1 Pb; F: 180 mg.Kg-1 Pb and G: 270 mg.Kg-1 Pb. Ade: adaxial epidermis;Chp:Chlorophyll parenchyma; Tr:trichome; X: xylem; Abe: abaxial epidermins P: phoema Hy: Hypodermis; VB:vascular bundles; AB: Assesory bundles Bars 50µm.
Figure 1 in A Physiological behavior and tolerance of Lactuca sativa to lead nitrate and silver nitrate heavy metals
Figure 1. Germination and growth characteristics of lettuce plants subjected to increasing lead and Ag concentrations. A) Emergence speed index and emergence mean time; B) Emergence percentage; C) Plant height as a function of lead and silver concentrations; D) Behavior of leaf area in plants subjected to lead; E) SPAD as a function of lead and silver concentrations; F) Weight of dry matter. Each point on the graphs represents an average of 50 repetitions. The standards variations vary between ±2.5 and ±6.8 around the average from the graphs at the different points.
Figure 3 in A Physiological behavior and tolerance of Lactuca sativa to lead nitrate and silver nitrate heavy metals
Figure 3. Roots of lettuce under lead and silver nitrate concentrations. A: 0 mg.Kg-1 Pb and Ag; B: 12,5 mg.Kg-1 Ag; C: 25 mg.Kg-1 Ag; D: 37 mg.Kg-1 Ag; E: 90 mg.Kg-1 Pb; F: 180 mg.Kg-1 Pb and G: 270 mg.Kg-1 Pb. En: endoderm; Ep: epidermis; Ex: exoderm; Co: cortex; Px: protoxylem; Mx: metaxylem. Bars: 50µm.
Heavy metal removal from coal fly ash for low carbon footprint cement
<p>Source data for the publication "Heavy metal removal from coal fly ash for low carbon footprint cement"</p>
Data for: Heavy metal pollution impacts soil bacterial community structure and antimicrobial resistance at the Birmingham 35th Avenue Superfund Site
<p>The data in this archive are the results of a study on the impact of heavy metals (HMs) on the soil microbiota of an urban Superfund site in Alabama. HMs are known to modify bacterial communities both in the laboratory and in situ. Consequently, soils in HM-contaminated sites such as the U.S. Environmental Protection Agency (EPA) Superfund sites are predicted to have altered ecosystem functioning, with potential ramifications for the health of organisms, including humans, that live nearby. Further, several studies have shown that heavy metal-resistant (HMR) bacteria often also display antimicrobial resistance (AMR), and therefore HM-contaminated soils could potentially act as reservoirs that could disseminate AMR genes into human-associated pathogenic bacteria. To explore this possibility, topsoil samples were collected from six public locations in the zip code 35207 (the home of the North Birmingham 35th Avenue Superfund Site) and in six public areas in the neighboring zip code, 35214. 35027 soils had significantly elevated levels of the HMs As, Mn, Pb, and Zn, and sequencing of the V4 region of the bacterial 16S rRNA gene revealed that elevated HM concentrations correlated with reduced microbial diversity and altered community structure. While there was no difference between zip codes in the proportion of total culturable HMR bacteria, bacterial isolates with HMR almost always also exhibited AMR. Metagenomes inferred using PICRUSt2 also predicted significantly higher mean relative frequencies in 35207 for several AMR genes related to both specific and broad-spectrum AMR phenotypes. Together, these results support the hypothesis that chronic HM pollution alters the soil bacterial community structure in ecologically meaningful ways and may also select for bacteria with increased potential to contribute to AMR in human disease.</p>
(DATA) Möbius boron-nitride nanobelts interacting with heavy metal nanoclusters
<p>Molecular dynamics movies of systems BNNB+Cd1DL, BNNB+Ni1DZ, BNNB+Pb2D, MBNNB+Cd1DL, MBNNB+Ni2D and MBNNB+Pb2D.</p> <p>Spinning structures with the topological information for each system.</p> <p>Vibrational spectrum for optimized complexes.</p>
(VIDEOS) Möbius carbon nanobelts interacting with heavy metal nanoclusters
<p>Molecular dynamics movies of systems CNB+Cd1DL, CNB+Ni2D, CNB+Pb2D, MCNB+Cd1DL, MCNB+Ni2D and MCNB+Pb2D at 298K, 1000K and 1500K.</p> <p>Spinning structures with the topological information for each system.</p>
Data for: Heavy metal pollution impacts soil bacterial community structure and antimicrobial resistance at the Birmingham 35th Avenue Superfund Site
Open the record for dataset details and reuse information.
Urban land use impact on soil heavy metal levelsin Lafayette, Louisiana
Open the record for dataset details and reuse information.
Lichen Resurvey with Heavy Metal Analysis: Distribution of Praseodymium concentration in lichen tissue in Maricopa County
Distribution of Praseodymium concentration in lichen tissue collected as part of a study of heavy metals in lichens in Maricopa County, AZ.
Data from: The rainfall effect onto solidification and stabilization of heavy metal-polluted sediments
Rainfall makes impacts on process of solidification/stabilization and the long-term safety of solidified matrix. In this study, the effect of rainfall on solidification/stabilization process was investigated by rainfall test. The unconfined compressive strength (UCS) and toxicity characteristic leaching procedure (TCLP) were adopted to characterize the properties of S/S sediments before and after rainfall test. The samples cured for 28 days were subjected to semi-dynamic leaching tests with a simulated acidic leachant prepared at pH of 2.0, 4.0 and 7.0. Effectiveness of S/S treatment was evaluated by diffusion coefficient (D_e) and leachability index (LX). The results indicated that UCS decreased at maximum deterioration rate of 34.29% of the compressive strength after 7 days of curing, along with minimum rate of 7.89% after 28 days by rainfall, with >14 days referred. The rainfall had little effect on the leaching characteristics of heavy metals during the curing process. The simulated acid rain could make significant impacts on the leaching behavior of the heavy metals in the S/S materials. All cumulative fraction of leached heavy metals were less than 2.0 % which showed the good stabilization of cement. Furthermore, the calculated diffusion coefficient (D_e) for Cu was 1.28×10-11〖cm〗^2/s, indicating that its mobility was relatively low of heavy in S/S sediments. The calculated diffusion coefficient (Di) for Cd, Cu and Pb were 7.44×10-11, 8.18×10-12 and 7.85×10-12〖cm〗^2/s respectively, indicating that its mobility was relatively low of heavy metal in S/S sediments.
Data for the article "Quantitative comparison of spin and orbital Hall and Rashba-Edelstein effects in heavy-metal/3d-metal bilayers"
<p>Data for the article "Quantitative comparison of spin and orbital Hall and Rashba-Edelstein effects in heavy-metal/3d-metal bilayers" (<a href="https://arxiv.org/abs/2004.11942">[2004.11942] Quantitative comparison of spin and orbital Hall and Rashba-Edelstein effects in heavy-metal/3d-metal bilayers (arxiv.org)</a>)</p>
Digital research data from: Evaluation of a pH- and time-dependent model for the sorption of heavy metal cations by poultry litter-derived biochar
<p>This is digital research data corresponding to a published manuscript, Evaluation of a pH- and time-dependent model for the sorption of heavy metal cations by poultry litter-derived biochar. Chemosphere (2024), 347, 140688. https://doi.org/10.1016/j.chemosphere.2023.140688. </p> <p>Common isotherm and kinetic models cannot describe the pH-dependent sorption of heavy metal cations by biochar. In this paper, we evaluated a pH-dependent, equilibrium/kinetic model for describing the sorption of cadmium (Cd), copper (Cu), nickel (Ni), lead (Pb), and zinc (Zn) by poultry litter-derived biochar (PLB). We performed sorption experiments across a range of solution pH, initial metal concentration, and reaction time. </p>
Assessing Heavy Metal Contamination in Agricultural Soils: A Predictive Model Integrating GIS Tools and Probability-Risk Matrix – Case Study: Guarda Region, Portugal
<p>In these files we can find the final risk map of heavy metal contamination for the guarding area in Portugal obtained according to the methodology explained in the paper "Assessing Heavy Metal Contamination in Agricultural Soils: A Predictive Model Instegrating GIS Tools and Probability-Risk Matrix - Case Study: Guarda Region (Portugal)</p> <p>Final Risk Equal.tiff: GeoTiff with a pixel size of 30m. EPSG:3763 - ETRS89 / Portugal TM06</p> <p>Also attached is the symbolisation for the image in .qml (Quantum GIS Layer Style File) format.</p> <p>A file called RISK RECLASS is also available, where you can find the risk classification maps for each of the studied factors: </p> <ul> <li>Proximity to roads</li> <li>Proximity to industrial areas</li> <li>Ph</li> <li>Soil organic content</li> <li>Slope</li> <li>Soil texture</li> <li>Mining extraction areas </li> <li>Drainage</li> </ul> <p>finally a DATABASE file where the data of the 360 points for the calculation of the risk maps can be found. </p>
Measurements of heavy metals in the moss Orthotrichum lyellii collected using community science in the Duwamish Valley, Seattle, Washington, U.S.A.
<p>Heavy metals concentrations often vary at small spatial scales not captured by air monitoring networks, with implications for environmental justice in industrial-adjacent communities. Pollutants measured in moss tissues are commonly used as a screening tool to guide use of more expensive resources, like air monitors. We piloted a community science approach, engaging over 55 people from nine institutions, to map heavy metals using moss in two industrial-adjacent neighborhoods. Local youth led sampling of the moss <em>Orthotrichum lyellii</em> from trees across a 250×250-m sampling grid (n = 79). We compared their data with expert-collected samples (n = 19) using Principal Components Analysis and Procrustes Analysis. We mapped 21 chemical elements measured in moss, focusing on 6 toxic 'priority' metals: arsenic, cadmium, chromium, cobalt, lead, and nickel. We compared local data, using t-tests and boxplots, with two 'reference datasets' of <em>O. lyellii</em> collected in Portland, Oregon, and in Seattle City Parks. We also use Principal Components Analysis to describe major gradients in metals in the study area. Our data submission includes two R scripts and four datasets of heavy metals in moss, including the two reference datasets, which will enable replication of our analyses as well as novel analyses.</p>
Modelling the origin, fate, and ecological and health impacts of heavy metals from an abandoned mercury mine in a paradise island in the Philippines
<p>This document contains supplementary tables for the article entitled "Modelling the origin, fate, and ecological and health impacts of heavy metals from an abandoned mercury mine in a paradise island in the Philippines"</p>
Decoding the metabolic response of Escherichia coli for sensing trace heavy metals in water
<p>As: Raman spectra from E. coli lysate sample after exposing to As in DI water</p> <p>Cr: Raman spectra from E. coli lysate sample after exposing to Cr in DI water</p> <p>As_TapWater: Raman spectra from E. coli lysate sample after exposing to As in tap water</p> <p>WasteWater_FineTune_Dataset: Raman spectra from E. coli lysate sample after exposing to As in waste water</p> <p>WasteWater 'Unknow' Dataset: Raman spectra from E. coli lysate sample after exposing to waste water</p>
Data for: Can heavy metal pollution induce soil bacterial community resistance to antibiotics in boreal forests?
<p>The emergence of microbial antibiotic resistance is a central threat to global health, food security, and development. It has been shown that heavy metal pollution can give rise to microbial resistance to antibiotics, but how wide-spread this phenomenon is remains an open question that urgently needs filling to enable appropriate environmental risk assessments. Here, we determined whether long-term differences in heavy metal pollution in boreal forests had affected soil microbial communities such that they had increased microbial resistance to antibiotics. First, we assessed variation in metal concentrations in samples collected across a distance trajectory from the pollution source, and also the microbial rates and levels of bacterial community resistance to the heavy metal Cu and the antibiotics tetracycline and vancomycin in those samples. Second, we tested if the exposure to Cu or tetracycline could increase bacterial community resistance to Cu and to antibiotics in soils with high versus low background levels of metal contamination. Metal pollution had affected microbial community structures and suppressed decomposer functioning. Importantly, bacterial community Cu resistance increased with higher metal concentrations, which coincided with an induced bacterial community resistance to tetracycline, but not to vancomycin. Laboratory experiments revealed that bacterial community Cu resistance could be further induced in both the low and high end of the pollution gradient, but also that these short-term inductions of community metal tolerance did not coincide with enhanced antibiotic resistance. This yielded a surprising negative correlation between long-term and short-term effects by metals on microbial metal and antibiotic resistances. One mechanism that could provide protection against both metal cations and tetracycline is the small multidrug resistance (SMR) family, which is an energy demanding physiological mechanism that may take time to confer protection. This may explain the different microbial responses to long-term gradients and metal addition experiments. Policy implications. We show that metal pollution in boreal forests will promote antibiotic resistance in soil bacterial communities, revealing an overlooked reservoir of antibiotic resistance. We recommend that environmental risk assessments for any activity giving rise to increased soil metal concentrations need to also consider the induction of microbial antibiotic resistance.</p>
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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.