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349 results for “PB”
Dissolved trace metal (Fe, Ni, Cu, Zn, Cd, Pb) concentrations in the Indian and Pacific sectors of the Southern Ocean from the Antarctic Circumnavigation Expedition (2016-2017)
<p>Dissolved trace metal (Fe, Ni, Cu, Zn, Cd, Pb) concentrations in the Indian and Pacific sectors of the Southern Ocean from the Antarctic Circumnavigation Expedition, 2016-2017.</p> <p>Dissolved trace metal (Fe, Ni, Cu, Zn, Cd, Pb) concentrations measured on seawater samples from the Southern Ocean. Samples were collected with a trace metal clean rosette system to a maximum depth of 1000 m during Legs 1 and 2 of the Antarctic Circumnavigation Expedition (ACE), 2016-2017. Samples were filtered through Akropak Supor filters (0.2 um) in a class 100 clean container, acidified to pH ≤ 2 and stored until analysis (>6 months). Samples from Leg 1 (TMR Casts 3-7) were collected during a transect from Cape Town, South Africa to Hobart, Australia. Samples from Leg 2 (TMR casts 8-20) were collected during a transect from Hobart, Australia to Punta Arenas, Chile. Data cover environments near subantarctic and Antarctic islands (TMR 3, 4, 13-15), in the Mertz Glacier Polynya (TMR 11-12) and near the Antarctic Peninsula (TMR 18), as well as meridional transects to and from the Antarctic continent (TMR 7-12, TMR 18-20).</p>
Dissolved trace element concentration profiles of micronutrients (Mn, Ni, Cu, Zn, Co) and contaminants (Cd, Pb) in seawater from discrete bottle samples from CCE Process Cruises in the California Current System, 2021 - 2025 (ongoing).
Dissolved trace element is sampled from the trace metal clean rosette. The sample is collected by filtering seawater through a 0.2µm PES filter. The seawater sample is then acidified to pH~1.8 using ultra clean hydrochloric acid and subsequently analyzed using sector-field inductively coupled plasma-mass spectrometry, scanning in low and medium resolution, with either standard curve or isotope dilution methods. The samples are used to develop a description of the distribution of dissolved trace elements in the CCE region.
Hyperspectral X-ray CT data set of mineralised ore sample with Au and Pb deposits
<p><strong>General data description:</strong></p> <p>This is a hyperspectral (energy-resolved) X-ray CT projection data set of a mineralised ore sample with small gold and galena deposits. It was acquired in a laboratory micro-CT scanner with an energy-sensitive HEXITEC detector in the Henry Moseley X-ray Imaging Facility at The University of Manchester.</p> <p>The data included contains all the relevant files required for reconstruction, following a hyperspectral scan of a mineralised ore sample. The sample contains a number of mineral phases, of varying concentration, distributed throughout. Some phases (including gold, and lead-based Galena) produce unique absorption edges, which act as spectral identifiers that can be measured by an energy-sensitive detector.</p> <p><strong>File descriptions:</strong></p> <p>The data set consists of one .txt file and three .mat (MATLAB) data files.</p> <p>Au_rock_scan_geometry.txt gives a breakdown of the full sample and detector geometry used when acquiring the raw projections. The number of horizontal detector pixels accounts for the fact that a set of 5 tiled scans of the sample were collected and later stitched together.</p> <p>Au_rock_sinogram_full.mat contains the full 4D sinogram constructed following flat-field normalisation of the raw projection data. The data matrix contains the total number of energy channels acquired during scanning, as well as the conventional elements of vertical/horizontal detector pixel number and total projection angles.</p> <p>commonX.mat provides a direct conversion between the energy channels, and the energies (in keV) that they correspond to, following a calibration procedure prior to scanning.</p> <p>FF.mat contains the 4D flatfield data acquired when no sample was present. This data was used to normalise the projection datasets, as the sinogram was constructed.</p>
NETTAG+ Data set on adsorption of inorganic (Cu and Pb) and organic (PAHs) pollutants in fishing nets
<p>This data set includes the raw data associated with the article in <em>Marine Pollution Bulletin</em><strong> "</strong>Potential of fishing nets for adsorption of inorganic (Cu and Pb) and organic (PAHs) pollutants"</p>
U-Pb on zircon data from 'Evidence for large disturbances of the Ediacaran geomagnetic field from West Africa'
<p>This dataset provides the tabular U-Pb data on zircon presented in Robert et al. 2023 'Evidence for large disturbances of the Ediacaran geomagnetic field from West Africa', Precambrian Research, 394, 107095.</p> <p>The data are provided both as an xls formatted as in the original publication (in Table 1), and in a condensed .csv. Please the README file for a description of the columns of the csv.</p>
CA-TIMS U-Pb analysis of IGSN samples IEMM10001, IEMM10002, IEMM10003, IEM10004
<p>Single zircon U-Pb analyses were performed at the Berkeley Geochronology Center. The samples were crushed and mineral concentrates were then purified using standard mineral separation techniques, including sieves, magnetic separation and density separation. If present, euhedral, clear grains devoid of optically recognizable cores were chosen for analysis. All zircons were pretreated using thermal annealing at 850°C for 48 hrs, followed by chemical abrasion with concentrated HF in pressurized dissolution capsules at 220°C for 6-8 hrs. Prior to dissolution the crystals were cleaned in ultrasonically agitated aqua regia followed by multiple steps of rinsing in clean HNO<sub>3</sub>. Zircon crystals were then spiked with <sup>205</sup>Pb-<sup>233</sup>U- <sup>235</sup>U tracer solution mixed and calibrated at BGC, and dissolved by vapor transfer in HF using miniature PTFE capsules at 220°C for 6 days. After dissolution, large crystals were loaded in 2 to 3 aliquots (see table) to optimize beam stability (which typically is significantly decreased for large, unextracted zircon samples) and test reproducibility. Isotope ratios were determined on a Micromass Sector 54 mass spectrometer using a Daly-type ion counter positioned behind a WARP filter. Pb (as Pb<sup>+</sup>) and U (as UO<sup>2+</sup>) were run sequentially on the same filament. The accuracy of the used mixed tracer was tested repeatedly against solutions derived from certified standards of isotopically pure <sup>206</sup>Pb and natural U (NIST SRM-991 and CRM-145, respectively), as well as age solutions distributed by the Earthtime initiative (agreement was found to be <0.1%, additional details regarding tracer calibration are in Irmis et al., 2011; Mundil et al., 2004; Black et al., 2004). An additional subset of 5 zircons of the KHB01 sample was analyzed using the Earthtime 535 tracer solution. The resulting mean age of 97.80 ± 0.19 Ma (MSWD 2.0) from this batch is slightly younger, but within uncertainty, compared to our reported age of 98.00 ± 0.14 Ma, even without taking into account an augmented uncertainty resulting from U/Pb in the tracer solutions. The elevated MSWD may be a result of excess scatter from true age dispersion within the zircon population of KHB01. Repeat measurements of the total procedural blank averaged 0.82 ± 0.36 pg Pb (U blanks were indistinguishable from zero), with <sup>206</sup>Pb/<sup>204</sup>Pb = 18.40 ± 0.46, <sup>207</sup>Pb/<sup>204</sup>Pb = 15.64 ± 0.25, <sup>208</sup>Pb/<sup>204</sup>Pb = 38.04 ± 0.75 (all 2σ of population), and a <sup>206</sup>Pb/<sup>204</sup>Pb-<sup>207</sup>Pb/<sup>204</sup> Pb correlation of +0.47 (ratios and uncertainties were propagated into the age and age-error calculations). The total procedural blank including ion exchange chemistry is also as low as 1 pg but scatter in total common Pb concentration and possibly common Pb composition suggests that results from unextracted analyses of zircon yield better reproducibility. Deficient radiogenic <sup>206</sup>Pb in zircon due to initial deficit of <sup>230</sup>Th is accounted for by assuming a partition coefficient ratio DTh/DU of 0.2 (as applied in Wotzlaw et al., 2014), or by assuming Th/U in the parent magma to be 3.5 where the ET535 tracer solution was used (the resulting difference in age from either approach is negligible). Mass fractionation of U during analysis was controlled by the U double spike, whereas Pb mass fractionation was corrected by 0.15 ± 0.6 %/AMU (based on multiple analyses of NBS 981).</p> <p>The photo-micrograph shows crystals extracted from KHB03 and illustrates that the zircon population is homogeneous. </p>
ALICE Pb-Pb Run 3 event displays (2022 edition)
<p>ALICE Pb-Pb event displays produced with 2022 Pb-Pb data from the third run of the LHC. Multiple points of view and multiple resolutions of the baseline image are provided for completeness.</p>
ALICE Pb-Pb Run 2 event display with red/blue tracks
<p>This event display shows tracks in a Pb-Pb event recorded during Run 2 of the LHC. Individual tracks are shown following a red/blue colour code according to their charge.</p>
Supplement to "The virtual spot approach: a simple method for image U-Pb carbonate geochronology by high-repetition rate LA-ICP-MS" by Hoareau et al
<p>This repository contains supplementary data, excel datasets and python / R codes as supplement to the publication by Hoareau et al.</p> <p>Files are:</p> <ul> <li>pdf with Supplementary material (S1 to S6)</li> <li>Excel spreadsheet with all image ratio and CPS data (Table S7)</li> <li>Iolite4 python plugin for virtual spot calculation (Iolite4_plugin_virtual_spot.py)</li> <li>Jupyter .ipynb file for U-Pb age calculation (Multiage.ipynb, R language)</li> <li>Jupyter .ipynb file for cp-sat minimum rectangle problem calculation (Rects.ipynb, Python language)</li> </ul>
Calcite U-Pb geochronology and paleomagnetism reveal Mesozoic multi-episodic remagnetizations from the Penglaitan GSSP section, South China
<p>The Supplementary S1 includes: Supplemental Figure S1-4 and Tables S1.</p> <p>The Supplementary S2 is the raw data of in-situ calcite U-Pb dating.</p>
Text-fig. 4. Porechye open pit coal mine. a: photography of the Lipovtsy Formation section; b: stratigraphic column, 1 – sandstone, 2 – conglomerate, 3 – coal, 4 – tuff dated by U-Th-Pb geochronology, 5 – siltstone, 6 – mudstone, 7 – palynological samples with angiosperm pollen, 8 – dispersed angiosperm cuticles. in Angiosperm Diversification In The Early Cretaceous Of Primorye, Far East Of Russia
Text-fig. 4. Porechye open pit coal mine. a: photography of the Lipovtsy Formation section; b: stratigraphic column, 1 – sandstone, 2 – conglomerate, 3 – coal, 4 – tuff dated by U-Th-Pb geochronology, 5 – siltstone, 6 – mudstone, 7 – palynological samples with angiosperm pollen, 8 – dispersed angiosperm cuticles.
ALICE Pb-Pb Run 2 event display with red/blue tracks: animation
<div> <p>This animated event display shows tracks in a Pb-Pb event recorded during Run 2 of the LHC. Individual tracks are shown following a red/blue colour code according to their charge, and tracks expand outwards with a velocity calculated with their measured momenta and using the pion mass hypothesis. Outer detectors are not shown for simplicity. </p> </div>
Trace metals (Cd, Cu, Pb and Zn) concentrations in tissues of Pipistrellus kuhlii from NE Ukraine
<p>The dataset contains information on level of cadmium (Cd), copper (Cu), lead (Pd) and zinc (Zn) in internal and external tissues of <em>Pipistrellus kuhlii </em>from industrial (Mariupol city) and agricultural (Karlovka village). Bats were taken for analysis from Ukrainian Bat Rehabilitation Centre (Kharkiv, Ukraine) in 2021. </p>
Dataset for the publication: Metallic Impurities in Electrolysis: Catalytic Effect of Pb Traces in Reductive Amination and Acetone Reduction
<p>This dataset contains the experimental data of the publication "Metallic Impurities in Electrolysis: Catalytic Effect of Pb Traces in Reductive Amination and Acetone Reduction" that is published in Angewandte Chemie International Edition. </p>
Trace metals (Cd, Cu, Pb and Zn) concentrations in tissues of Pipistrellus kuhlii lepidus with identified age from unpolluted area - Karlovka village NE Ukraine
<div> <p>The dataset contains information on level of cadmium (Cd), copper (Cu), lead (Pd) and zinc (Zn) in internal and external tissues of <em>Pipistrellus kuhlii lepidus </em>from agricultural area (Karlovka village). Bats were taken for analysis from Ukrainian Bat Rehabilitation Centre (Kharkiv, Ukraine) in 2021-2022. In addition, age of each individual was identified using osteochronological technique. </p> <p> </p> </div>
Text-fig. 3. Sphenophyte and fern remains from Remigiusberg Formation. A) Asterophyllites equisetiformis, Inv.-Nr. PB 2010/5809 LS (LS-RLP), scalebar = 2.5 cm; B) Asterophyllites equisetiformis (right) and Pecopteris sp. (left), Inv.-Nr. PB 2010/5813 LS (LS-RLP), scalebar = 2 cm; C) Long-leafed variety of Asterophyllites equisetiformis, Inv.-Nr. PB 2010/5808 LS, scalebar = 2 cm; D) Calamites sp., Inv.-Nr. PB 2010/5804 LS (LS-RLP), scalebar = 2.5 cm; E) Eucalamites cruciatus, Inv.-Nr. PB 2016/5034 LS (LS-RLP), scalebar = 2 cm. in New Data On The Macroflora Of The Basal Rotliegend Group (Remigiusberg Formation; Gzhelian) In The Saar-Nahe Basin (Sw-Germany)
Text-fig. 3. Sphenophyte and fern remains from Remigiusberg Formation. A) Asterophyllites equisetiformis, Inv.-Nr. PB 2010/5809 LS (LS-RLP), scalebar = 2.5 cm; B) Asterophyllites equisetiformis (right) and Pecopteris sp. (left), Inv.-Nr. PB 2010/5813 LS (LS-RLP), scalebar = 2 cm; C) Long-leafed variety of Asterophyllites equisetiformis, Inv.-Nr. PB 2010/5808 LS, scalebar = 2 cm; D) Calamites sp., Inv.-Nr. PB 2010/5804 LS (LS-RLP), scalebar = 2.5 cm; E) Eucalamites cruciatus, Inv.-Nr. PB 2016/5034 LS (LS-RLP), scalebar = 2 cm.
Text-fig. 6. Selected carpological remains from Remigiusberg Formation. A) cf. Samaropsis sp., Inv.-Nr. PB 2016/5038 LS (LS-RLP); B) cf. Samaropsis sp., Inv.-Nr. PB 2016/5029a LS (LS-RLP). in New Data On The Macroflora Of The Basal Rotliegend Group (Remigiusberg Formation; Gzhelian) In The Saar-Nahe Basin (Sw-Germany)
Text-fig. 6. Selected carpological remains from Remigiusberg Formation. A) cf. Samaropsis sp., Inv.-Nr. PB 2016/5038 LS (LS-RLP); B) cf. Samaropsis sp., Inv.-Nr. PB 2016/5029a LS (LS-RLP).
Text-fig. 5. Pteridosperm remains from Remigiusberg Formation. A) Autunia conferta, coll. Emrich, scalebar = 2 cm; B) "Sphenopteris" germanica, Inv.-Nr. PB 2010/5806 LS (LS-RLP), scalebar = 2.5 cm; C) "Sphenopteris" germanica, Inv.-Nr. PB 2016/5029b LS (LS-RLP), scalebar = 2 cm. in New Data On The Macroflora Of The Basal Rotliegend Group (Remigiusberg Formation; Gzhelian) In The Saar-Nahe Basin (Sw-Germany)
Text-fig. 5. Pteridosperm remains from Remigiusberg Formation. A) Autunia conferta, coll. Emrich, scalebar = 2 cm; B) "Sphenopteris" germanica, Inv.-Nr. PB 2010/5806 LS (LS-RLP), scalebar = 2.5 cm; C) "Sphenopteris" germanica, Inv.-Nr. PB 2016/5029b LS (LS-RLP), scalebar = 2 cm.
PB preprocessed data used in paper "Multi variables time series information bottleneck"
<p>Preprocessed PB data used in paper "Multi variables time series information bottleneck" with the <a href="https://github.com/DenisUllmann/IB-MTS">GitHub</a> code</p> <p>This dataset is created from a public available dataset of solar power data collected in Alabama by <a href="https://www.nrel.gov/grid/solar-power-data.html">C</a><a href="https://pems.dot.ca.gov/">alTrans</a>.</p> <p>The npz file is a numpy (np) compressed data and can be loaded using np.load with allow_pickle=True<br> Loaded data is then a python dict described bellow.</p> <p>Each sample 'data' is a np.ndarray with 2 dimensions: time (various length) and wavelength (length=325 representing 325 traffic detectors ordered like in <a href="https://www.nrel.gov/grid/solar-power-data.html">C</a><a href="https://pems.dot.ca.gov/">alTrans</a>).</p> <p>Each sample is given a 'position' which is a list of length 4:<br> position[1] is a string that gives the name of the event<br> position[4] is a boolean vector that gives the time positionsof the corresponding sample in the original sequence of public IRIS level2 data</p> <p>Data file info :<br> Type: .npz<br> Size: 114.23MB<br> *** Key: 'data_TR_PB'<br> ndarray data of length 3<br> containing np.ndarray of shapes [12160, 325]</p> <p>*** Key: 'data_VAL_PB'<br> ndarray data of length 3<br> containing np.ndarray of shapes [868, 325]</p> <p>*** Key: 'data_TE_PB'<br> ndarray data of length 3<br> containing np.ndarray of shapes [4343, 325]</p> <p>*** Key: 'data_TR'<br> ndarray data of length 3<br> containing np.ndarray of shapes [12160, 325]</p> <p>*** Key: 'data_VAL'<br> ndarray data of length 3<br> containing np.ndarray of shapes [868, 325]</p> <p>*** Key: 'data_TE'<br> ndarray data of length 3<br> containing np.ndarray of shapes [4343, 325]</p> <p>*** Key: 'position_TR_PB'<br> ndarray data of length 3<br> containing ndarray data of length 4<br> containing mix of types {'str', 'ndarray', 'int'}</p> <p>*** Key: 'position_VAL_PB'<br> ndarray data of length 3<br> containing ndarray data of length 4<br> containing mix of types {'str', 'ndarray', 'int'}</p> <p>*** Key: 'position_TE_PB'<br> ndarray data of length 3<br> containing ndarray data of length 4<br> containing mix of types {'str', 'ndarray', 'int'}</p> <p>*** Key: 'position_TR'<br> ndarray data of length 3<br> containing ndarray data of length 4<br> containing mix of types {'str', 'ndarray', 'int'}</p> <p>*** Key: 'position_VAL'<br> ndarray data of length 3<br> containing ndarray data of length 4<br> containing mix of types {'str', 'ndarray', 'int'}</p> <p>*** Key: 'position_TE'<br> ndarray data of length 3<br> containing ndarray data of length 4<br> containing mix of types {'str', 'ndarray', 'int'}</p>
Timing and provenance of volcanic fluxes around the Permian-Triassic Boundary Mass Extinction in South China: U-Pb zircon geochronology, volcanic ash geochemistry and mercury isotopes
<p>The enclosed dataset contains all of the raw data supporting the results presented in the paper titled: <strong>"Timing and provenance of volcanic fluxes around the Permian-Triassic Boundary Mass Extinction in South China: U-Pb zircon geochronology, volcanic ash geochemistry and mercury isotopes". </strong></p> <p>The Excel data file contains four data sheets as follows: </p> <p>1. Table S1: This sheet contains the U-Pb output table from ETRedux. The data sheet contains all the U and Pb isotopic data generated for the current study.</p> <p>2. Table S2: This excel sheet contains the geochemical compositions of analyzed volcanic ash beds as well as LOI-normalized major element compositions of these ashes.</p> <p>3. Table S3: This excel sheet contains the other geochemical and isotope data for all analyzed samples. This includes Hg concentration and isotope compositions, TOC data, as well as major and trace element concentrations and ratios.</p> <p>4. a final table containing the analyzed Hg isotope compositions for the utilized standard reference materials - ETH Fluka, UM-Almaden, NIST 1632D and MESS-3.</p>
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OpenNeuro
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