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2,118 results for “Metal”
Figure 7 in Bioaccumulation of heavy metals in the tissues of Schizothorax plagiostomus at River Swat
Figure 7. Heavy metals concentrations (ppm) in muscle and gills of S. plagiostomus at Odigram, Charbagh, and Landakai site.
Figure 2 in Bioaccumulation of heavy metals in the tissues of Schizothorax plagiostomus at River Swat
Figure 2. The collected samples of the Schizothorax plagiostomus species from Charbagh, Odigram and Landakai of River Swat.
Datasets and code for Rapljenović et al. 2024: Adsorption of trace metals onto different plastics during long-term exposure in an estuarine environment: influence of time, stratified water column, and specific surface area
<p>This repository contains datasets and R code to reproduce results from Rapljenović et al. 2024: Adsorption of trace metals onto different plastics during long-term exposure in an estuarine environment: influence of time, stratified water column, and specific surface area.</p>
Fig. 3. Tallies within each Tennessee county indicate the total buprestid species recorded from specimen label records spanning 1934 in Seasonal flight activity and distribution of metallic woodboring beetles (Coleoptera: Buprestidae) collected in North Carolina and Tennessee
Fig. 3. Tallies within each Tennessee county indicate the total buprestid species recorded from specimen label records spanning 1934 to 2013. When presented across Tennessee, species yields indicate areas of greatest and least collection activity and highlight regions of future collection interest. This figure is displayed in color online at http://purl.fcla.edu/fcla/entomologist/browse
Fig. 1B in Seasonal flight activity and distribution of metallic woodboring beetles (Coleoptera: Buprestidae) collected in North Carolina and Tennessee
Fig. 1B. Seasonal flight activities recorded for Agrilinae (Coraebini and Trachyini), Polycestinae, and Chrysocrhoinae metallic woodboring beetle species collected across North Carolina (1901–2013) and Tennessee (1934–2013). Collection records frequently included trapping yield results from multi-day deployments; thus, data for individual specimens were pooled within 1 of 4 weeks for each month. Dated records for specimens with labels that noted specimen emergence from infested trunk, stem, firewood, and branch sections are not included within the seasonal ranges presented. Dashed vertical lines (at May and Jul) indicate approximate flight activity period (in North Carolina) for Cerceris fumipennis (Say) (Hymenoptera: Crabronidae) wasps. Asterisks indicate species collected by the wasps during biosurveillance in North Carolina (Nalepa et al. 2013; Swink et al. 2013, 2014). This figure is displayed in color online at http://purl.fcla.edu/fcla/entomologist/browse
Fig. 1C in Seasonal flight activity and distribution of metallic woodboring beetles (Coleoptera: Buprestidae) collected in North Carolina and Tennessee
Fig. 1C. Seasonal flight activities recorded for Buprestinae metallic woodboring beetle species collected across North Carolina (1901–2013) and Tennessee (1934–2013). Collection records frequently included trapping yield results from multi-day deployments; thus, data for individual specimens were pooled within 1 of 4 weeks for each month. Dated records for specimens with labels that noted specimen emergence from infested trunk, stem, firewood, and branch sections are not included within the seasonal ranges presented. Dashed vertical lines (at May and Jul) indicate approximate flight activity period (in North Carolina) for Cerceris fumipennis (Say) (Hymenoptera: Crabronidae) wasps. Asterisks indicate species collected by the wasps during biosurveillance in North Carolina (Nalepa et al. 2013; Swink et al. 2013, 2014). This figure is displayed in color online at http://purl.fcla.edu/fcla/entomologist/browse
Fig. 1A in Seasonal flight activity and distribution of metallic woodboring beetles (Coleoptera: Buprestidae) collected in North Carolina and Tennessee
Fig. 1A. Seasonal flight activities recorded for Agrilinae: Agrilini metallic woodboring beetle species collected across North Carolina (1901–2013) and Tennessee (1934–2013). Collection records frequently included trapping yield results from multi-day deployments; thus, data for individual specimens were pooled within 1 of 4 weeks for each month. Dated records for specimens with labels that noted specimen emergence from infested trunk, stem, firewood, and branch sections are not included within the seasonal ranges presented. Dashed vertical lines (at May and Jul) indicate approximate flight activity period (in North Carolina) for Cerceris fumipennis (Say) (Hymenoptera: Crabronidae) wasps. Asterisks indicate species collected by the wasps during biosurveillance in North Carolina (Nalepa et al. 2013; Swink et al. 2013, 2014). This figure is displayed in color online at http://purl.fcla.edu/fcla/entomologist/browse
Fig. 2. Tallies within each North Carolina county indicate the total buprestid species recorded from specimen label records spanning 1901 in Seasonal flight activity and distribution of metallic woodboring beetles (Coleoptera: Buprestidae) collected in North Carolina and Tennessee
Fig. 2. Tallies within each North Carolina county indicate the total buprestid species recorded from specimen label records spanning 1901 to 2013. When presented across North Carolina, species yields indicate areas of greatest and least collection activity and highlight regions of future collection interest. This figure is displayed in color online at http://purl.fcla.edu/fcla/entomologist/browse
Fig. 1 in Heavy metals in bones from Harbour Porpoises Phocoena phocoena from the Western Black Sea Coast
Fig. 1. Map of the Western Black Sea showing the sampling sites along the Bulgarian Black Sea Coast.
Fig. 2 in Heavy metals in bones from Harbour Porpoises Phocoena phocoena from the Western Black Sea Coast
Fig. 2. (a) Correlation matrix between heavy metals and age in bone tissue of harbour porpoises (Phocoena phocoena) beached at Black Sea, Bulgaria (significant correlations highlighted in bold). (b) Zink (Zn) concentration in the bones of common harbour porpoises (mg/kg) as a function of age (years).
Supplementary data for "Vacancy defect configurations in the metal-organic framework UiO-66: Energetics and electronic structure"
<p>Optimised structures for UiO-66 with various defect configurations in VASP POSCAR format. For naming see the associated paper (DOI:10.1039/c7ta11155j).</p>
Kathmandu, Nepal. Image of Durgā incised on its metal based with inscription IN02096. British Museum 1948,0716.25.
<p>Kathmandu, Nepal. Image of Durgā incised on its metal based with inscription IN02096. British Museum 1948,0716.25.</p>
Kathmandu, Nepal. Image of Durgā incised on its metal based with inscription IN02096. British Museum 1948,0716.25.
<p>Kathmandu, Nepal. Image of Durgā incised on its metal based with inscription IN02096. British Museum 1948,0716.25.</p>
Can metal organic frameworks outperform adsorptive removal of harmful phenolic compound 2-chlorophenol by activated carbon?
<p>Dataset supporting publication. High resolution images, and full data set as produced in manuscript figures.</p> <p><strong>Preprint</strong>: <a href="https://doi.org/10.26434/chemrxiv.10320752.v1">https://doi.org/10.26434/chemrxiv.10320752.v1 </a></p> <p><strong>Published article:</strong> <a href="https://doi.org/10.1016/j.cherd.2020.03.017">https://doi.org/10.1016/j.cherd.2020.03.017 </a></p> <p><strong>Abstract:</strong> Removal of persistent organic compounds from aqueous solutions is generally achieved using adsorbent like activated carbon (AC) but it suffers from limited adsorption capacity due to low surface area. This paper describes a pioneering work on the adsorption of an organic pollutant, 2-chlorophenol (2-CP) by two MOFs with high surface area and water stability; MIL-101 and its amino-derivative, MIL-101-NH<sub>2</sub>. Although MOFs have higher surface area than AC, the latter was proven better having the highest equilibrium 2-CP uptake (345 mg.g<sup>-1</sup>), followed by MIL-101 (121 mg.g<sup>-1</sup>) and MIL-101-NH<sub>2</sub> (84 mg.g<sup>-1</sup>). Used MIL-101 could be easily regenerated multiple times by washing with ethanol and even showed improved adsorption capacity after each washing cycle. These results can open the doors to meticulous adsorbent selection for treating 2-CP-contaminated water. </p>
The Halo's Ancient Metal-Rich Progenitor Revealed with BHB Stars
<p>This data represent properties of Blue Horizontal Branch stars in the Stellar Halo of the Milky Way with properties derived from the Sloan Digital Sky Survey's Data Release 8, the Gaia Mission's Data Release 2, and the work of Xue et al. 2011. The contents of this data are described in the README file and the full description of the data reduction can be found at (https://arxiv.org/abs/1807.04290)</p>
Fig. 22. A. Monkey vertebra without metal support. B. A in Micro-computed tomography for natural history specimens: a handbook of best practice protocols
Fig. 22. A. Monkey vertebra without metal support. B. A metal artefact (yellow arrow) is created due to the metal rod used to support a series of vertebrae on a mounted skeleton. Photo courtesy of the Royal Belgian Institute of Natural Sciences (RBINS) / DIGIT-3 Belspo, CC-BY-NC-ND Jonathan Brecko.
Figure 2. A in Estimation of heavy metal residues from the feathers of Falconidae, Accipitridae, and Strigidae in Punjab, Pakistan
Figure 2. A comparison of concentrations (µg/g) of 6 different metals estimated from the feathers of raptors in 3 different regions of Punjab Province. Values expressed as mean ± SE.
Figure 5 in Determination of oxidative, genotoxic, and histopathologic effects of metal pollution on the fish fauna inhabiting Karasu River, Turkey
Figure 5. Pathological damages in A. mossulensis A) separation from the granular layer (black arrow), hyperemia (orange arrows) and infiltration (red arrow) in the cerebellum, B) separation in pia mater (black arrow), congestion and damage in vein (orange arrow), degeneration in periventricular layer (green arrow) and axonopathy (circle) C) dilatation (orange arrow) and vacuolization (yellow arrows) in the cortex H & E.
Figure 4 in Determination of oxidative, genotoxic, and histopathologic effects of metal pollution on the fish fauna inhabiting Karasu River, Turkey
Figure 4. Pathological damages in brain of C. capoeta A) vascular dilatation (orange arrow), degeneration (red arrow) and dilatation (black arrow), B) vacuolization (yellow arrows) and infiltration (blue arrow) in the Purkinje layer, C) vascular dilatation with congestion (orange arrow) H & E.
Figure 1 in Determination of oxidative, genotoxic, and histopathologic effects of metal pollution on the fish fauna inhabiting Karasu River, Turkey
Figure 1. Sampling stations; Station 1: Dumlu, Station 2: Ilıca, Station 3: Aşkale I, Station 4: Aşkale II.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.