28 datasets found
  1. T

    Zinc - Price Data

    • tradingeconomics.com
    • it.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Dec 2, 2025
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    TRADING ECONOMICS (2025). Zinc - Price Data [Dataset]. https://tradingeconomics.com/commodity/zinc
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    json, xml, csv, excelAvailable download formats
    Dataset updated
    Dec 2, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1960 - Dec 2, 2025
    Area covered
    World
    Description

    Zinc fell to 3,063.05 USD/T on December 2, 2025, down 1.24% from the previous day. Over the past month, Zinc's price has fallen 1.42%, and is down 1.26% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Zinc - values, historical data, forecasts and news - updated on December of 2025.

  2. Average prices for zinc worldwide from 2014 to 2026

    • statista.com
    Updated Apr 15, 2025
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    Statista (2025). Average prices for zinc worldwide from 2014 to 2026 [Dataset]. https://www.statista.com/statistics/675888/average-prices-zinc-worldwide/
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    Dataset updated
    Apr 15, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    In 2024, the average price for zinc stood at 2,776 nominal U.S. dollars per metric ton. This statistic depicts the average annual prices for zinc from 2014 to 2024, with forecast figures for 2025 through 2026.

  3. Zinc Spot Price Today

    • indexbox.io
    doc, docx, pdf, xls +1
    Updated Nov 1, 2025
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    IndexBox Inc. (2025). Zinc Spot Price Today [Dataset]. https://www.indexbox.io/search/zinc-spot-price-today/
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    docx, pdf, xlsx, doc, xlsAvailable download formats
    Dataset updated
    Nov 1, 2025
    Dataset provided by
    IndexBox
    Authors
    IndexBox Inc.
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2012 - Nov 22, 2025
    Area covered
    World
    Variables measured
    Price CIF, Price FOB, Export Value, Import Price, Import Value, Export Prices, Export Volume, Import Volume
    Description

    Explore the factors influencing zinc's ever-changing spot price, including industrial supply-demand dynamics, global economic conditions, and market activities. Learn about zinc's critical role in industries, major global players like China, and the impacts of macroeconomic indicators and geopolitical events on pricing.

  4. y

    Zinc Price

    • ycharts.com
    html
    Updated Oct 16, 2025
    + more versions
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    International Monetary Fund (2025). Zinc Price [Dataset]. https://ycharts.com/indicators/zinc_price
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    htmlAvailable download formats
    Dataset updated
    Oct 16, 2025
    Dataset provided by
    YCharts
    Authors
    International Monetary Fund
    License

    https://www.ycharts.com/termshttps://www.ycharts.com/terms

    Time period covered
    Jan 31, 1980 - Sep 30, 2025
    Variables measured
    Zinc Price
    Description

    View monthly updates and historical trends for Zinc Price. Source: International Monetary Fund. Track economic data with YCharts analytics.

  5. Global zinc price forecast 2021-2028

    • statista.com
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    Statista, Global zinc price forecast 2021-2028 [Dataset]. https://www.statista.com/statistics/1093636/global-zinc-pric/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2017
    Area covered
    Worldwide
    Description

    The price of zinc is forecast to increase to **** U.S. dollars per pound by 2028, from an estimated price of **** U.S. dollars per pound in 2020. Zinc is a base metal with many uses, including used to galvanise other metals. Zinc oxide is used in the manufacturing of products such as batteries, paint, inks, soaps, pharmaceuticals, and more.

  6. c

    Zinc – Current Price

    • intel.chaipredict.com
    Updated Dec 2, 2025
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    ChAI Predict (2025). Zinc – Current Price [Dataset]. https://intel.chaipredict.com/commodities/zinc
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    Dataset updated
    Dec 2, 2025
    Dataset authored and provided by
    ChAI Predict
    License

    https://chaipredict.com/privacy-policyhttps://chaipredict.com/privacy-policy

    Variables measured
    Price, 1 Year Forecast, 1 Month Forecast
    Description

    Current spot price plus 1-month and 1-year forecasts for Zinc as published on ChAI Predict.

  7. F

    France RMPI: Spot: LME: Zinc

    • ceicdata.com
    Updated Nov 15, 2025
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    CEICdata.com (2025). France RMPI: Spot: LME: Zinc [Dataset]. https://www.ceicdata.com/en/france/raw-materials-price-index-january-2010100/rmpi-spot-lme-zinc
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    Dataset updated
    Nov 15, 2025
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2024 - Dec 1, 2024
    Area covered
    France
    Variables measured
    Supply Prices
    Description

    France RMPI: Spot: LME: Zinc data was reported at 164.200 Jan2010=100 in Mar 2025. This records a decrease from the previous number of 165.200 Jan2010=100 for Feb 2025. France RMPI: Spot: LME: Zinc data is updated monthly, averaging 86.200 Jan2010=100 from Jan 1990 (Median) to Mar 2025, with 423 observations. The data reached an all-time high of 248.200 Jan2010=100 in Apr 2022 and a record low of 41.200 Jan2010=100 in May 2003. France RMPI: Spot: LME: Zinc data remains active status in CEIC and is reported by National Institute of Statistics and Economic Studies. The data is categorized under Global Database’s France – Table FR.I046: Raw Materials Price Index: January 2010=100. [COVID-19-IMPACT]

  8. f

    DataSheet_1_Bio-fabrication of Zinc Oxide nanoparticles to rescue Mung Bean...

    • datasetcatalog.nlm.nih.gov
    Updated Nov 29, 2022
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    Aftab, Muzammil; Anjum, Tehmina; Mirza, Faisal Shafiq; Ali, Basharat; Akram, Waheed; Rafiq, Hamza; Ali, Muhammad Danish; Li, Guihua; Aftab, Zill-e-Huma; Bashir, Uzma (2022). DataSheet_1_Bio-fabrication of Zinc Oxide nanoparticles to rescue Mung Bean against Cercospora leaf spot disease.docx [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0000198095
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    Dataset updated
    Nov 29, 2022
    Authors
    Aftab, Muzammil; Anjum, Tehmina; Mirza, Faisal Shafiq; Ali, Basharat; Akram, Waheed; Rafiq, Hamza; Ali, Muhammad Danish; Li, Guihua; Aftab, Zill-e-Huma; Bashir, Uzma
    Description

    Plant disease management using nanotechnology is evolving continuously across the world. The purpose of this study was to determine the effect of different concentrations of green synthesized zinc oxide nanoparticles (ZnO NPs) using Trachyspermum ammi seed extract on Cercospora leaf spot disease in mung bean plants under in-vitro and in-planta conditions. Additionally, the effects on mung bean agronomic and physiological parameters were also assessed. The green synthesized ZnO NPs were characterized using UV-visible spectroscopy, Fourier-transform infrared spectroscopy (FTIR), X-ray diffraction (XRD) and Scanning electron microscopy (SEM). Green synthesized NPs were tested for their ability to inhibit fungal growth at five different concentrations under in-vitro experiment. After 7 days of inoculation, ZnO NPs (1200 ppm) inhibited mycelial growth substantially (89.86% ± 0.70). The in-planta experiment showed statistically significant result of disease control (30% ± 11.54) in response to 1200 ppm ZnO NPs. The same treatment showed statistically significant improvements in shoot length, root length, number of leaves, number of pods, shoot fresh weight (28.62%), shoot dry weight (85.18%), root fresh weight (38.88%), and root dry weight (38.88%) compared to the control. Our findings show that green synthesized ZnO NPs can control Cercospora canescens in mung bean, pointing to their use in plant disease control and growth enhancement.

  9. Zinc Ingot Price Trend, Chart, News, Database & Demand

    • imarcgroup.com
    pdf,excel,csv,ppt
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    IMARC Group, Zinc Ingot Price Trend, Chart, News, Database & Demand [Dataset]. https://www.imarcgroup.com/zinc-ingot-pricing-report
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    pdf,excel,csv,pptAvailable download formats
    Dataset provided by
    Imarc Group
    Authors
    IMARC Group
    License

    https://www.imarcgroup.com/privacy-policyhttps://www.imarcgroup.com/privacy-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    The zinc ingot prices in the United States for Q3 2024 reached 3450 USD/MT in September. The region saw notable fluctuations in zinc ingot prices throughout the quarter, primarily influenced by the limited availability of zinc ingots and ongoing supply chain challenges. These factors, coupled with consistent demand from critical sectors, have kept prices on an upward trajectory, emphasizing the market's sensitivity to supply-demand dynamics.

    Product
    CategoryRegionPrice
    Zinc IngotSpecialty ChemicalUnited States3450 USD/MT
    Zinc IngotSpecialty ChemicalSouth Korea3150 USD/MT
    Zinc IngotSpecialty ChemicalGermany3670 USD/MT

    Explore IMARC’s newly published report, titled “Zinc Ingot Prices, Trend, Chart, Demand, Market Analysis, News, Historical and Forecast Data Report 2024 Edition,” offers an in-depth analysis of zinc ingot pricing, covering an analysis of global and regional market trends and the critical factors driving these price movements.

  10. m

    MONITOOL Project: dataset of metal concentrations in seawater from European...

    • data.mendeley.com
    • research.science.eus
    Updated Jul 24, 2023
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    J German Rodriguez (2023). MONITOOL Project: dataset of metal concentrations in seawater from European estuaries and coastal sites measured by Diffusive Gradients in Thin-films (DGT) passive samplers and spot sampling. [Dataset]. http://doi.org/10.17632/r6fsncgyh7.1
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    Dataset updated
    Jul 24, 2023
    Authors
    J German Rodriguez
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This dataset presents metal concentrations in transitional and coastal waters measured in Diffusive Gradients in Thin-films (DGT) passive samplers by Inductively Coupled Plasma Mass Spectrometry (ICP-MS: Cd, Co, Cu, Fe, Mn, Ni, Pb, Zn) and in concurrently collected spot samples by ICP-MS (Al, Cd, Co, Cu, Mn, Ni, Pb, Zn) and Anodic/Cathodic Stripping Voltammetry (ASV/CSV: Cd, Ni, Pb) and obtained in the framework of the MONITOOL Project. Data on seawater physico-chemical parameters is also provided (salinity, temperature, dissolved oxygen, pH, turbidity, total suspended solids, dissolved organic carbon, total organic carbon). Sampling sites include the following ecoregions: Canary Islands, Iberian Coast, Bay of Biscay and English Channel, Celtic Sea North Sea and Western Mediterranean Sea (for detailed description of sampling sites see Caetano et al., Marine Pollution Bulletin 179 (2022) 113715). ICP-MS and voltammetry analysis (Anodic Stripping Coltammetry: Cd and Pb; Cathodic Stripping Voltammetry: Ni) were carried out in filtered seawater (see Bersuder et al., MethodsX 8 (2021) 101462; Rodríguez et al., Science of the Total Environment 783 (2021) 147001; Amouroux et al., Environmental Sciences Europe (2023) 35:29). Detailed description of the DGT technique and a user-friendly guidance can be found in Millán et al. (2021. A Good Practice Guide for the Use of DGTs. ITC. ISBN: 978-84-09-30846-0) and Gonzalez et al. (Science of the Total Environment 847 (2022) 157499). More info: https://www.monitoolproject.eu.

  11. r

    Data from: Investigation of liquid metal embrittlement of dual phase steel...

    • resodate.org
    Updated Sep 15, 2020
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    Julian Frei; Max Biegler; Michael Rethmeier; Christoph Böhne; Gerson Meschut (2020). Investigation of liquid metal embrittlement of dual phase steel joints by electro-thermomechanical spot-welding simulation [Dataset]. http://doi.org/10.14279/depositonce-10555
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    Dataset updated
    Sep 15, 2020
    Dataset provided by
    DepositOnce
    Technische Universität Berlin
    Authors
    Julian Frei; Max Biegler; Michael Rethmeier; Christoph Böhne; Gerson Meschut
    Description

    A 3D electro-thermomechanical model is established in order to investigate liquid metal embrittlement. After calibration to a dual phase steel of the 1000 MPa tensile strength class, it is used to analyse the thermo-mechanical system of an experimental procedure to enforce liquid metal embrittlement during resistance spot welding. In this procedure, a tensile stress level is applied to zinc coated advanced high strength steel samples during welding. Thereby, liquid metal embrittlement formation is enforced, depending on the applied stress level and the selected material. The model is suitable to determine and visualise the corresponding underlying stresses and strains responsible for the occurrence of liquid metal embrittlement. Simulated local stresses and strains show good conformity with experimentally observed surface crack locations.

  12. Shanghai Metals Market (SMM)

    • hosted-metadata.bgs.ac.uk
    Updated Jan 1, 2009
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    Shanghai Metals Market - the leading metals information prorovider in China (2009). Shanghai Metals Market (SMM) [Dataset]. https://hosted-metadata.bgs.ac.uk/geonetwork/srv/api/records/1a220d13-c72c-40a1-9ee5-4bf9eaac9078
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    Dataset updated
    Jan 1, 2009
    Dataset provided by
    Shanghai Metals Market
    British Geological Survey
    Area covered
    Description

    Shanghai Metals Market (SMM) are China's leading, independent, integrated suppliers of metals market intelligence, industry events, research and consulting, and e-commerce services. SMM publishes the "SMM Price" -Shanghai spot prices for over 300 base metals, minor metals, precious metals, scrap metals, rare earth every day. Along with its intensive historical database since 1999, SMM also provides other services, such as industry publications, consulting services, industry events, trade matching services etc.

    Website: http://www.metal.com/database

  13. s

    Concentrations of heavy metals in European agricultural soils, Oct. 2020

    • repository.soilwise-he.eu
    • data.europa.eu
    Updated Oct 7, 2020
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    (2020). Concentrations of heavy metals in European agricultural soils, Oct. 2020 [Dataset]. https://repository.soilwise-he.eu/cat/collections/metadata:main/items/f23391fd-2524-42be-91cb-27d930d6a099
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    Dataset updated
    Oct 7, 2020
    Description

    This data set contains current and critical metal concentrations and its exceedances in topsoils, as well as data related to the current and critical metal inputs to and outputs from soils (uptake, accumulation and leaching) and the resulting exceedances of critical metal inputs.

    This data set has been compiled by the European Topic Centre on Urban, Land and Soil Systems (ETC/ULS) in the context of a study on metal and nutrient dynamics where the fate and dynamics of the most abundant heavy metals and nutrients in agricultural soils were investigated. The purpose of this study was to investigate the impacts of agricultural intensification in Europe, and to understand its environmental impact. Metal concentrations in soils were used from two consecutive Europe-wide geochemical surveys, sampled in 1998 (FOREGS survey) and 2009 (GEMAS survey). For land use, the 2010 Eurostat data were used.

    The metals included in this data set are cadmium (Cd), copper (Cu), lead (Pb) and zinc (Zn). The results on the fate of Nitrogen (N) and Phosphorus (P) are included in a separate dataset. Cu and Zn are minor nutrients but at high inputs, they may cause adverse impacts on soil biodiversity, whereas Cd and Pb are toxic metals that may lead to soil degradation, by both affecting soil biodiversity and food quality. Metal budgets based on spatially explicit input and output data were calculated using the INTEGRATOR model; approximately 40,000 so-called NCUs as unique combinations of soil type, administrative region, slope class and altitude class were used. Available critical limits for food, water and soil organisms, from different existing regulations and studies, were converted to soil property-dependent critical metal concentrations (soil-based quality standards), which were then used to calculate critical metal inputs.

    The results allow for the first time to identifying spatial hot spots for critical environmental impact of soil pollution for the four most abundant heavy metals. It thus informs policy processes important for planning and guiding sustainable agriculture and soil management. The work is methodologically novel, as it applies endpoint risk to thresholds in soils, and thus guides future impact studies. Updates with more recent land use and soil data are now possible.

    The description of the included model results and the reference report is provided under "lineage". The data set is provided as SHP and also in a GDB, the latter including as well the N and P concentrations. An Excel file "Metadata heavy metals nutrients.xlsx" with the attribute metadata is provided with the data set.

  14. D

    Data from: The location of iron and zinc in grain of conventional and...

    • ckan.grassroots.tools
    api, pdf, xml
    Updated Sep 16, 2022
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    Rothamsted Research (2022). The location of iron and zinc in grain of conventional and biofortified lines of sorghum [Dataset]. https://ckan.grassroots.tools/dataset/12f2af0c-972a-4ec2-8bc7-259ce2df3b84
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    api, xml, pdfAvailable download formats
    Dataset updated
    Sep 16, 2022
    Dataset provided by
    Rothamsted Research
    Description

    Sorghum is an important source of dietary iron (Fe) and zinc (Zn) in parts of Africa and India, but there is a need to increase their concentrations to meet dietary requirements. Grains of a genetically biofortified sorghum line (Parbhani Shakti) had higher concentrations of Fe and Zn than a control line (M35-1). Analysis at the tissue level by histochemical staining and at the cellular level using NanoSIMS showed that both minerals are concentrated in the aleurone layer and in the scutellum of the embryo, with Zn also being concentrated in the embryonic axis. However, NanoSIMS showed that “hot spots” of 56Fe+ and 64Zn+ were also present in the sub-aleurone and starchy endosperm cells. Most of these hot spots also contained 31P16O+ indicating that the Fe and Zn are present as phytates, as in the aleurone and scutellum cells. Low concentrations of 56Fe+ and 64Zn+ were also observed in the protein matrix of these cells.

  15. The conserved basic residues and the charged amino acid residues at the...

    • plos.figshare.com
    docx
    Updated May 30, 2023
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    Chih-Ying Lin; Lih-Yuan Lin (2023). The conserved basic residues and the charged amino acid residues at the α-helix of the zinc finger motif regulate the nuclear transport activity of triple C2H2 zinc finger proteins [Dataset]. http://doi.org/10.1371/journal.pone.0191971
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    docxAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Chih-Ying Lin; Lih-Yuan Lin
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Zinc finger (ZF) motifs on proteins are frequently recognized as a structure for DNA binding. Accumulated reports indicate that ZF motifs contain nuclear localization signal (NLS) to facilitate the transport of ZF proteins into nucleus. We investigated the critical factors that facilitate the nuclear transport of triple C2H2 ZF proteins. Three conserved basic residues (hot spots) were identified among the ZF sequences of triple C2H2 ZF proteins that reportedly have NLS function. Additional basic residues can be found on the α-helix of the ZFs. Using the ZF domain (ZFD) of Egr-1 as a template, various mutants were constructed and expressed in cells. The nuclear transport activity of various mutants was estimated by analyzing the proportion of protein localized in the nucleus. Mutation at any hot spot of the Egr-1 ZFs reduced the nuclear transport activity. Changes of the basic residues at the α-helical region of the second ZF (ZF2) of the Egr-1 ZFD abolished the NLS activity. However, this activity can be restored by substituting the acidic residues at the homologous positions of ZF1 or ZF3 with basic residues. The restored activity dropped again when the hot spots at ZF1 or the basic residues in the α-helix of ZF3 were mutated. The variations in nuclear transport activity are linked directly to the binding activity of the ZF proteins with importins. This study was extended to other triple C2H2 ZF proteins. SP1 and KLF families, similar to Egr-1, have charged amino acid residues at the second (α2) and the third (α3) positions of the α-helix. Replacing the amino acids at α2 and α3 with acidic residues reduced the NLS activity of the SP1 and KLF6 ZFD. The reduced activity can be restored by substituting the α3 with histidine at any SP1 and KLF6 ZFD. The results show again the interchangeable role of ZFs and charge residues in the α-helix in regulating the NLS activity of triple C2H2 ZF proteins.

  16. The Kinetic Response of the Proteome in A549 Cells Exposed to ZnSO4 Stress

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    tiff
    Updated Jun 1, 2023
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    Wen-jie Zhao; Qun Song; Zi-jin Zhang; Li Mao; Wei-juan Zheng; Xin Hu; Hong-zhen Lian (2023). The Kinetic Response of the Proteome in A549 Cells Exposed to ZnSO4 Stress [Dataset]. http://doi.org/10.1371/journal.pone.0133451
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    tiffAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Wen-jie Zhao; Qun Song; Zi-jin Zhang; Li Mao; Wei-juan Zheng; Xin Hu; Hong-zhen Lian
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Zinc, an essential trace element, is involved in many important physiological processes. Cell responses to zinc stress show time-dependent effects besides concentration-dependence and tissue-specificity. Herein, we investigated the time-dependent differential expression of the proteome in A549 cells after administered with ZnSO4 for both 9 and 24 h using 2DE. 123 differentially expressed protein spots were detected, most of which were up-regulated by Zn2+ treatment. Interestingly, 49 proteins exhibited significant differential expression repeatedly during these two treatment periods, and moreover showed a conserved change with different ratios and four time-dependent expression patterns. Pattern 1 (up-regulated with rapid initial induction and subsequent repression) and pattern 4 (down-regulated with steady repression) were the predominant expression patterns. The abundances of the proteins in patterns 1 and 4 after 24 h of zinc treatment are always lower than that after 9 h, indicating that exogenous zinc reduced the expression of proteins in cells after 24 h or longer. Importantly, these findings could also reflect the central challenge in detecting zinc homeostasis proteins by 2DE or other high throughput analytical methods resulting from slight variation in protein expression after certain durations of exogenous zinc treatment and/or low inherent protein content in cells. These time-dependent proteome expression patterns were further validated by measuring dynamic changes in protein content in cells and in expression of two proteins using the Bradford method and western blotting, respectively. The time-dependent changes in total zinc and free Zn2+ ion contents in cells were measured using ICP-MS and confocal microscopy, respectively. The kinetic process of zinc homeostasis regulated by muffling was further revealed. In addition, we identified 50 differentially expressed proteins which are predominantly involved in metabolic process, cellular process or developmental process, and function as binding, catalytic activity or structural molecule activity. This study further elucidates our understanding of dynamic nature of the cellular response to zinc stress and the mechanism of zinc homeostasis.

  17. Z

    Data from: CitrusUAT: A Dataset of Orange Citrus sinensis Leaves for...

    • data.niaid.nih.gov
    • zenodo.org
    Updated Aug 30, 2023
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    Wilfrido Gómez Flores (2023). CitrusUAT: A Dataset of Orange Citrus sinensis Leaves for Abnormality Detection Using Image Analysis Techniques [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_8294077
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    Dataset updated
    Aug 30, 2023
    Dataset provided by
    Centro de Investigación y de Estudios Avanzados del IPN
    Authors
    Wilfrido Gómez Flores
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This dataset provides a collection of color images taken from the orange leaves of Citrus sinensis (L.) Osbeck species with diseases, nutritional deficiencies, and pest symptoms, proper to develop abnormality detection algorithms based on digital image analysis techniques. The dataset comprises 953 color images divided into 12 classes of orange leaves: Healthy, Huanglongbing (HLB), Greasy spot, Iron deficiency, Magnesium deficiency, Manganese deficiency, Nitrogen deficiency, Zinc deficiency, Texas citrus mite, Red scale, Red scale sequelae, and Citrus leafminer. Each color image was segmented by a thresholding method to obtain a binary mask of the leaf region. Samples were analyzed by the quantitative real-time polymerase chain reaction (qPCR) diagnostic test to detect the Ca. L. asiaticus bacterium that causes HLB disease.

  18. T

    Lead - Price Data

    • tradingeconomics.com
    • ru.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Sep 1, 2011
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    TRADING ECONOMICS (2011). Lead - Price Data [Dataset]. https://tradingeconomics.com/commodity/lead
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    csv, xml, json, excelAvailable download formats
    Dataset updated
    Sep 1, 2011
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jul 5, 1993 - Dec 2, 2025
    Area covered
    World
    Description

    Lead rose to 2,003.78 USD/T on December 2, 2025, up 0.11% from the previous day. Over the past month, Lead's price has fallen 1.32%, and is down 3.99% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Lead - values, historical data, forecasts and news - updated on December of 2025.

  19. H

    Data from: Replication data for Iron and zinc grain concentrations diversity...

    • dataverse.harvard.edu
    Updated Jul 13, 2021
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    Clare Mukankusi; Winnyfred Amongi; Sulaiman Sebuliba; Floride Mukamuhirwa; Stephen Musoke; Acam Catherine; Claire Naluwooza (2021). Replication data for Iron and zinc grain concentrations diversity and agronomic performance of common bean germplasm collected from East Africa [Dataset]. http://doi.org/10.7910/DVN/T4EUHR
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jul 13, 2021
    Dataset provided by
    Harvard Dataverse
    Authors
    Clare Mukankusi; Winnyfred Amongi; Sulaiman Sebuliba; Floride Mukamuhirwa; Stephen Musoke; Acam Catherine; Claire Naluwooza
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    East Africa
    Description

    Iron and Zinc data by XRF analysis/ICPAES. Yield trials. Root rot. Angular leaf spot.

  20. S

    LA-ICP-MS analysis of trace element characteristics and geological...

    • scidb.cn
    Updated Nov 10, 2023
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    chang jin yang; Wu Xiaolei; Wang Jiasheng; Zeng Nanshi; Jiang Hai; Fan Chunbao; Huang Changshai; Li Min; Zhao Yi (2023). LA-ICP-MS analysis of trace element characteristics and geological implications in sphalerites from Fozichong lead-zinc ore field, Guangxi [Dataset]. http://doi.org/10.57760/sciencedb.11538
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Nov 10, 2023
    Dataset provided by
    Science Data Bank
    Authors
    chang jin yang; Wu Xiaolei; Wang Jiasheng; Zeng Nanshi; Jiang Hai; Fan Chunbao; Huang Changshai; Li Min; Zhao Yi
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    广西壮族自治区
    Description

    LA-ICP-MS trace element test was completed in Nanjing jupu detection technology co., ltd. For sulfide, USGS MASS-1 and GSE-1G of basaltic molten glass are used to calibrate the sulfide element content. The 193 nm ArF excimer laser ablation system is manufactured by Teledyne Cetac Technologies, and the model is Analyte Excite. The quadrupole inductively coupled plasma mass spectrometer (ICP-MS) is manufactured by Agilent Technologies and the model is Agilent 7700x. The deep ultraviolet (UV) beam generated by excimer laser generator is focused on the mineral surface through homogenization light path, with energy density of 6.06 J/cm2, beam spot diameter of 40 μm, frequency of 6 Hz, and total erosion of 40 s. The original test data is processed offline by ICP MS Data Cal software, and the element content is quantitatively calculated by "no internal standard-matrix normalization method". Before the formal test, all the points to be tested are pre-eroded by large beam spots to eliminate the potential pollution on the mineral surface. In the test stage, the gas background was collected for 15 s, then eroded for 40 s with a beam spot of 40 μm and a frequency of 5 Hz. The aerosol was sent out of the erosion pool by helium, mixed with Ar, and then entered the ICP-MS to complete the test.

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TRADING ECONOMICS (2025). Zinc - Price Data [Dataset]. https://tradingeconomics.com/commodity/zinc

Zinc - Price Data

Zinc - Historical Dataset (1960-01-01/2025-12-02)

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23 scholarly articles cite this dataset (View in Google Scholar)
json, xml, csv, excelAvailable download formats
Dataset updated
Dec 2, 2025
Dataset authored and provided by
TRADING ECONOMICS
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Time period covered
Jan 1, 1960 - Dec 2, 2025
Area covered
World
Description

Zinc fell to 3,063.05 USD/T on December 2, 2025, down 1.24% from the previous day. Over the past month, Zinc's price has fallen 1.42%, and is down 1.26% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Zinc - values, historical data, forecasts and news - updated on December of 2025.

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