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125 results for “Hg”
Diffraction images of crystals of the spectrin repeats 7 and 8 (SR7-SR8) of the plakin domain of human plectin (PDB code 5J1G): native and Hg-derivative datasets for phasing by SIRAS
<p>Diffraction images of crystals of a fragment of the plakin domain of human plectin that includes the spectrin repeats 7 to 8 (SR7-SR8).</p> <p>Images correspond to the dataset used to solve and refine the pdb entry <strong>5J1G</strong> (http://www.rcsb.org/pdb/explore/explore.do?structureId=5J1G).</p> <p> </p> <p>The structure was phase by single isomorphous replacement with anomalous scattering (SIRAS) using two datasets: one from a native crystal and another one from a crystal derivatized with the mercurial compound ethylmercurithiosalicylate (EMTS).</p> <p> </p> <p>The <strong>Native dataset</strong> was collected on a single crystal at the beamline XALOC of the ALBA Synchrotron (Barcelona, Spain) using radiation of 0.9792 Å wavelength and a PILATUS 6M detector. The dataset consists of 4 wedges of 450 images each (0.2º oscillation per image). Each wedge was collected at a different position of the same crystal. The crystals belong to the space group P2<sub>1</sub> with approximate cell dimensions <em>a</em>=45.7 Å, <em>b</em>=115.9 Å, <em>c</em>=64.8 Å, beta=97.6 º.</p> <p> </p> <p>The data from a <strong>mercurial derivative</strong> (EMTS) was collected in house using a rotating anode X-ray generator (wavelength 1.54179 Å) and a mar345 image plate detector. The dataset consists of 360 images (1º oscillation per image). The crystal was isomorphic to the native crystal.</p> <p> </p> <p>In addition to the diffraction images the following files are included:</p> <p>a) Files for indexing with the program XDS and the HKL files containing the integrated intensities.</p> <p>b) Files for scaling using the program xscale (directory XSCALE_5J1G_Native_EMTS).<br> c) The directory “phasing_shelx” contains hkl files of the intensities of the native and EMTS datasets in a format suitable for analysis with Shelx. This directory also contains the files of the phasing by SIRAS using Shelx C/D/E.</p>
HG_OOSTENDE - Herring gulls (Larus argentatus, Laridae) breeding at the southern North Sea coast (Belgium)
<p><em>HG_OOSTENDE - Herring gulls (Larus argentatus, Laridae) breeding at the southern North Sea coast (Belgium)</em> is a bird tracking dataset published by the <a href="https://www.inbo.be/en">Research Institute for Nature and Forest (INBO)</a>. It contains animal tracking data collected by the LifeWatch GPS tracking network for large birds (<a href="http://lifewatch.be/en/gps-tracking-network-large-birds">http://lifewatch.be/en/gps-tracking-network-large-birds</a>) for the project/study <strong>HG_OOSTENDE</strong>, using trackers developed by the University of Amsterdam Bird Tracking System (UvA-BiTS, <a href="http://www.uva-bits.nl">http://www.uva-bits.nl</a>). The study was operational from 2013 until 2022. In total 60 individuals of European herring gull (<em>Larus argentatus</em>) have been tagged in or near their breeding area at the southern North Sea coast (Ostend and Zeebrugge in Belgium), mainly to study their habitat use. Data are periodically uploaded from the UvA-BiTS database to Movebank and from there archived on Zenodo (see <a href="https://github.com/inbo/bird-tracking">https://github.com/inbo/bird-tracking</a>). No new data are expected.</p> <h2>Files</h2> <p>Data in this package are exported from Movebank study <a href="https://www.movebank.org/cms/webapp?gwt_fragment=page=studies,path=study986040562">986040562</a>. Fields in the data follow the <a href="http://vocab.nerc.ac.uk/collection/MVB">Movebank Attribute Dictionary</a> and are described in <code>datapackage.json</code>. Files are structured as a <a href="https://specs.frictionlessdata.io/data-package/">Frictionless Data Package</a>. You can access all data in R via <code>https://zenodo.org/records/10054230/files/datapackage.json</code> using <a href="https://frictionlessdata.github.io/frictionless-r/">frictionless</a>.</p> <ul> <li><strong>datapackage.json</strong>: technical description of the data files.</li> <li><strong>HG_OOSTENDE-reference-data.csv</strong>: reference data about the animals, tags and deployments.</li> <li><strong>HG_OOSTENDE-gps-yyyy.csv.gz</strong>: GPS data recorded by the tags, grouped by year.</li> <li><strong>HG_OOSTENDE-acceleration-yyyy.csv.gz</strong>: acceleration data recorded by the tags, grouped by year.</li> </ul> <h2>Acknowledgements</h2> <p>This dataset was collected using infrastructure provided by VLIZ and INBO funded by Research Foundation - Flanders (FWO) as part of the Belgian contribution to LifeWatch.</p>
Data and results of the example used in the SI-Hg D1 protocol for the SI-traceable calibration of elemental mercury (Hg0) gas generators used in the field
<p>During the SI-Hg project a metrological traceable protocol for the calibration of mercury gas generators used in the field was developed and validated. The SI-Hg calibration protocol specifies the procedures for establishing traceability to the SI units for the quantitative output of elemental mercury generators that are employed in regulatory applications for emission monitoring or testing. This protocol provides methods for</p><ul><li>the experimental procedures to compare the output of elemental mercury gas generators</li><li>the data processing for determination of mercury concentration and the expanded uncertainty of the mercury concentration obtained from the elemental mercury gas generator.</li></ul><p>In the protocol examples are given to explain the data processing, determining the mercury concentration and corresponding uncertainty. In this repository the raw data and results used for the example calculated with the data processing script can be found.</p>
Processed BraTS 2013 HG Data
<p>Real high grade glioma patient MRI data from the BraTS 2013 challenge with N3 bias field correction for T1, T1ce, T2, histogram-matched, normalized by mean CSF value and T1ce-T1 subtraction map as fifth channel. Data includes the following features for each of the 5 channels: Gaussian smoothing (0.7; 1.6), Gaussian gradient magnitude (0.7; 1.6), Laplacian of Gaussian (0.7; 1.6), 3 Hessian of Gaussian eigenvalues (0.7; 1.6), 3 structure tensor eigenvalues (0.7; 1.6). Format is HDF5, features along last axis.</p>
BraTS 2013 HG STAPLE Groundtruth
<p>Groundtruth for the high grade patients from the BraTS 2013 challenge merged with the STAPLE algorithm.</p>
Data for SI-Hg D2 validation report for the calibration of elemental mercury gas generators including information on repeatability, reproducibility and uncertainty evaluation at emission and ambient levels extended to the sub ng/m3 level
<p>In deliverable 2 of the SI-Hg project the first validation results of the SI-Hg calibration protocol are reported. Within the SI-Hg project a protocol for the metrological calibration of elemental mercury gas generators used in the field was developed. For the validation the output of two different mercury gas generators was calibrated according to the protocol. As metrological reference standard the primary mercury gas standard from the Van Swinden Laboratory (VSL) was used. The measurements described in the protocol could be performed during the validation and the data was processed using a script to determine the output of the candidate generator and the uncertainty of the mercury concentration. Based on the validation measurements and data processing several improvements for the calibration protocol were identified and were used to improve the calibration protocol. </p><p>In this repository data obtained during the validation is published. The files of the following comparisons between reference generator and candidate generator can be found in this repository:</p><ul><li>VSL vs VSL<ul><li>m1<ul><li>09022022 calibration mercury gas generator VSL vs VSL m1</li><li>VSL_vs_VSL_m1</li></ul></li><li>m2 <ul><li>05072022 calibration mercury gas generator VSL vs VSL m2</li><li>VSL_vs_VSL_m2</li></ul></li><li>m3<ul><li>07072022 calibration mercury gas generator VSL vs VSL m3</li><li>VSL_vs_VSL_m3</li></ul></li></ul></li><li>VSL vs PSA before modification<ul><li>m1<ul><li>15032022 calibration mercury gas generator VSL vs PSA fixed m1</li><li>single_point_VSL_vs_PSA_fixed_m1_4</li><li>single_point_VSL_vs_PSA_fixed_m1_6</li><li>single_point_VSL_vs_PSA_fixed_m1_8</li><li>single_point_VSL_vs_PSA_fixed_m1_12</li></ul></li><li>m2<ul><li>28032022 calibration mercury gas generator VSL vs PSA fixed m2</li><li>single_point_VSL_vs_PSA_fixed_m2_4</li><li>single_point_VSL_vs_PSA_fixed_m2_6</li><li>single_point_VSL_vs_PSA_fixed_m2_8</li><li>single_point_VSL_vs_PSA_fixed_m2_12</li></ul></li><li>m3 <ul><li>06042022 calibration mercury gas generator VSL vs PSA fixed m3</li><li>single_point_VSL_vs_PSA_fixed_m3_4</li><li>single_point_VSL_vs_PSA_fixed_m3_6</li><li>single_point_VSL_vs_PSA_fixed_m3_8</li><li>single_point_VSL_vs_PSA_fixed_m3_12</li></ul></li><li>m4 <ul><li>12042022 calibration mercury gas generator VSL vs PSA fixed m4</li><li>single_point_VSL_vs_PSA_fixed_m4_4</li><li>single_point_VSL_vs_PSA_fixed_m4_6</li><li>single_point_VSL_vs_PSA_fixed_m4_8</li><li>single_point_VSL_vs_PSA_fixed_m4_12</li></ul></li><li>less tubing <ul><li>14042022 calibration mercury gas generator VSL vs PSA fixed less tubing</li><li>single_point_VSL_vs_PSA_fixed_less_tubing</li></ul></li><li>less tubing and air as complementary gas <ul><li>19042022 calibration mercury gas generator VSL vs PSA fixed less tubing in air</li><li>single_point_VSL_vs_PSA_fixed_less_tubing_air</li></ul></li></ul></li><li>VSL vs PSA after modification<ul><li>m1 air as complementary gas <ul><li>Calibration PSA fixed mercury gas generator air m1 20230324</li><li>PSA_fixed_air_m1_9</li><li>PSA_fixed_air_m1_11</li><li>PSA_fixed_air_m1_14</li></ul></li><li>m2 air as complementary gas <ul><li>Calibration PSA fixed mercury gas generator air m2 20230327</li><li>PSA_fixed_air_m2_9</li><li>PSA_fixed_air_m2_11</li><li>PSA_fixed_air_m2_14</li></ul></li><li>m3 air as complementary gas <ul><li>Calibration PSA fixed mercury gas generator air m3 20230329</li><li>PSA_fixed_air_m3_9</li><li>PSA_fixed_air_m3_11</li><li>PSA_fixed_air_m3_14</li></ul></li><li>m4 air as complementary gas <ul><li>Calibration PSA fixed mercury gas generator air m4 20230907</li><li>PSA_fixed_air_m4_9</li><li>PSA_fixed_air_m4_11</li><li>PSA_fixed_air_m4_14</li></ul></li><li>m5 air as complemantary gas <ul><li>Calibration PSA fixed mercury gas generator air m5 20230911</li><li>PSA_fixed_air_m5_9</li><li>PSA_fixed_air_m5_11</li><li>PSA_fixed_air_m5_14</li></ul></li><li>m1 nitrogen (N2) as complementary gas<ul><li>Calibration PSA fixed mercury gas generator nitrogen m1 20230330</li><li>PSA_fixed_N2_m1_9</li><li>PSA_fixed_N2_m1_11</li><li>PSA_fixed_N2_m1_14</li></ul></li><li>m2 N2 as complementary gas <ul><li>Calibration PSA fixed mercury gas generator nitrogen m2 20230331</li><li>PSA_fixed_N2_m2_9</li><li>PSA_fixed_N2_m2_11</li><li>PSA_fixed_N2_m2_14</li></ul></li><li>m3 N2 as complementary gas <ul><li>Calibration PSA fixed mercury gas generator nitrogen m3 20230405</li><li>PSA_fixed_N2_m3_9</li><li>PSA_fixed_N2_m3_11</li><li>PSA_fixed_N2_m3_14</li></ul></li><li>measurement at TUV<ul><li>PSA_Fixed_at_TUV</li></ul></li></ul></li></ul>
Data for PSA 10.536 Elemental Hg generator performance evaluation report
<p>During the SI-Hg performance evaluation of elemental mercury gas generators on the market three generators were tested, e.g., PSA 10.536 elemental Hg generator, bell-jar and Tekran Model 3425. Key characteristics were determined e.g.; the stabilisation period, short-term drift, precision, i.e., reproducibility and repeatability of the concentration generated, linearity, bias, sensitivity to sample gas pressure, sensitivity to surrounding temperature and sensitivity to electrical voltage. All three generators could be tested according to the calibration protocol developed within the project. The results obtained with the different gas generator clearly shows the importance of a metrological calibration. All three candidate generators show a different bias for the setpoint compared to the calibrated output. </p><p>The data obtained during the performance evaluation of the PSA 10.536 elemental Hg generator is published in this repository. The files of the following experiments can be found here:</p><ul><li>range1 m1<ul><li>Calibration_PSA_range1_m1_20221130</li><li>multi_point_calibration_PSA_range1_m1</li></ul></li><li>range1 m2<ul><li>Calibration_PSA_range1_m2_20221209</li><li>multi_point_calibration_PSA_range1_m2</li></ul></li><li>range1 m3<ul><li>Calibration_PSA_range1_m3_20221214</li><li>multi_point_calibration_PSA_range1_m3</li></ul></li><li>range1 m4<ul><li>Calibration_PSA_range1_m4_20230915</li><li>multi_point_calibration_PSA_range1_m4</li></ul></li><li>range1 m5<ul><li>Calibration_PSA_range1_m5_20230919</li><li>multi_point_calibration_PSA_range1_m5</li></ul></li><li>range2 m1<ul><li>Calibration_PSA_range2 m1 20221006</li><li>multi_point_calibration_PSA_range2_m1</li></ul></li><li>range2 m2<ul><li>Calibration_PSA_range2 m2 20221011</li><li>multi_point_calibration_PSA_range2_m2</li></ul></li><li>range2 m3<ul><li>Calibration_PSA_range2 m3 20221012</li><li>multi_point_calibration_PSA_range2_m3</li></ul></li><li>short-term drift<ul><li>m1<ul><li>Calibration mercury gas generator range1 short term drift 20221012 deel 1</li><li>PSA_short_term_drift_M1</li></ul></li><li>m2<ul><li>Calibration mercury gas generator range1 short term drift 20221012 deel 2</li><li>PSA_short_term_drift_M2</li></ul></li><li>m3<ul><li>Calibration mercury gas generator range1 short term drift 20221012 deel 3</li><li>PSA_short_term_drift_M3</li></ul></li><li>m4<ul><li>Calibration mercury gas generator range1 short term drift 20221012 deel 4</li><li>PSA_short_term_drift_M4</li></ul></li></ul></li><li>stability<ul><li>Calibration mercury gas generator range2 stability 20220811</li><li>Calibration mercury gas generator stability 20221018</li></ul></li></ul>
Total mercury (Hg) concentrations in beaks and muscle of the giant warty squid Moroteuthopsis longimana (Southern Ocean)
<p>In this study we used beaks and buccal masses (muscle) of the giant warty squid <em>Moroteuthopsis</em> <em>longimana</em> to evaluate if squid beaks can be used as a proxy for mercury (Hg) concentrations in the muscle. Beaks and respective buccal masses were collected from the diet of Antarctic toothfish <em>Dissostichus mawsoni </em>captured at the South Sandwich Islands (Atlantic Sector of the Southern Ocean; CCAMLR Subarea 48.4) in 2019 (ML1 to ML12) and 2020 (ML13 to ML21).</p> <p>We analysed Total Hg concentrations in the wing of the lower beak, hood tip of the upper beak, both upper and lower beaks, and in muscle sampled from buccal masses.</p> <p>This dataset includes the size of the beaks, the estimated mantle length, the estimated mass, and total Hg concentrations analysed in beaks and buccle mass in 21 individuals of <em>M. longimana</em>.</p> <p>This dataset is associated with the article: Lopes-Santos S, Xavier JC, Seco J, Coelho JP, Hollyman PR, Pereira E, Phillips RA, Queirós JP (2025) Squid beaks as a proxy for mercury concentrations in muscle of the giant warty squid <em>Moroteuthopsis longimana</em>. Marine Environmental Research 204:106841. Doi 10.1016/j.marenvres.2024.106841</p>
Dust extinction curves: KMH94 HG R_V=5.5 model
<p>This dataset is based on the models described in <a href="https://ui.adsabs.harvard.edu/abs/2018RNAAS...2..188B">Benson (2018)</a>.</p> <p><strong>Dust Properties</strong></p> <p>Dust grain properties are taken from <a href="http://adsabs.harvard.edu/abs/1994ApJ...422..164K">Kim, Martin, and Hendry (1994)</a>, specifically their model with with R<sub>V</sub>=3.1 and Henyey-Greenstein scattering.</p> <p><strong>Stellar Geometry</strong></p> <p>Galactic disks follow exponential profiles in the radial direction, and sech<sup>2</sup> distributions in the vertical direction. The vertical scale height is set to a multiple, <em>h</em><sub>d</sub>, of the stellar disk scale length, and its value is encoded in each file name. Spheroids follow spherical <a href="http://adsabs.harvard.edu/abs/1990ApJ...356..359H">Hernquist (1990)</a> profiles.</p> <p><strong>Dust Geometry</strong></p> <p>Dust is distributed in the disk, and follows exponential profiles in both radial and vertical directions. The vertical scale height is set to a multiple, <em>h</em><sub>z</sub>, of the stellar disk scale length, and its value is encoded in each file name.</p>
seawater Hg stable isotope and speciation data
<p>This dataset contains Hg stable isotope and speciation measurements of seawater</p>
BraTS 2013 HG Groundtruth
<p>Groundtruth labels for the BraTS 2013 HG patients</p>
Fig Hg'. 6 6.. - Formotosena montivaga Distant, 1889. Carte d'identité acoustique. in Statut acoustique et comportement sonore de quelques Cigales thaïlandaises. Description d'une espèce nouvelle (Homoptera, Cicadidae)
Fig Hg'. 6 6.. - Formotosena montivaga Distant, 1889. Carte d'identité acoustique.
Raw diffraction images of plant vacuolar iron transporter VIT1 (phasing data by Hg-SIR)
<p>Diffraction images of full-length VIT1 for Hg-SIR phasing. All data were collected from loop-harvested crystals on BL32XU, SPring-8 at a wavelength of 1 Å using the EIGER X 9M detector.</p> <p>For Hg-bound VIT1, six helical (71-210°/crystal) datasets were collected. From native (without Hg) crystals, 24 helical (20-90°/crystal) datasets were automatically collected. The crystals belonged to space group <em>C</em>222<sub>1</sub> with unit cell parameter a~47, b~290, c~46 Å.</p> <p>Related entries: <a href="https://zenodo.org/record/2532136">full-length with Co/Zn</a>, <a href="https://zenodo.org/record/2532134">metal binding domain</a><br> </p>
Raw diffraction images of Ferroportin homologue (phasing data by Hg-SIRAS)
<p>Diffraction images of native and mercury-bound Ferroportin homologue from Bdellovibrio bacteriovorus. This phase information was used for PDB entries <a href="http://www.pdb.org/pdb/search/structidSearch.do?structureId=5AYM">5AYM</a> and <a href="http://www.pdb.org/pdb/search/structidSearch.do?structureId=5AYN">5AYN</a>, and indirectly <a href="http://www.pdb.org/pdb/search/structidSearch.do?structureId=5AYO">5AYO</a> (<a href="https://doi.org/10.1038/ncomms9545">Taniguchi et al. 2015</a>). All data were collected from loop-harvested crystals on BL32XU, SPring-8 at a wavelength of 1.00000 Å using the MX225HS CCD detector.</p> <p>From a native crystal, a helical (180°/crystal, 1°/frame) datasets were collected using 12×8 μm<sup>2</sup> beam. From a mercury-derivative crystals, two helical (180°/crystal, 1.5°/frame) datasets were collected using 10×2 μm<sup>2</sup> beam. The crystals belonged to space group <em>P</em>2<sub>1</sub>2<sub>1</sub>2<sub>1</sub> with unit cell parameter a~57, b~86, c~96 Å.</p>
Raw diffraction images of YidC (phasing data by Hg-MAD)
<p>Diffraction images of mercury-bound <em>Bacillus halodurans</em> YidC mutants for Hg-MAD phasing. This phase information was used for PDB entries <a href="http://www.pdb.org/pdb/search/structidSearch.do?structureId=3WO6">3WO6</a> and <a href="http://www.pdb.org/pdb/search/structidSearch.do?structureId=3WO7">3WO7</a> (<a href="https://doi.org/10.1038/nature13167">Kumazaki et al. 2014</a>). All data were collected from loop-harvested crystals on BL32XU, SPring-8 at wavelengths of 1.00000 Å (peak) or 1.00945 Å (edge) using the MX225HE CCD detector.</p> <p>From the M146C mutant, helical (360 or 720°/crystal, 2°/frame) datasets were collected using 10×1 μm<sup>2</sup> beam. From a Y150C mutant, a helical (360°/crystal, 2.5°/frame) dataset was collected using 15×1 μm<sup>2</sup> beam, which was used for phase determination. The crystals belonged to space group <em>P</em>2<sub>1</sub> with unit cell parameter a~44, b~60, c~60 Å, β~100°.</p>
Raw diffraction images of H+/Ca2+ exchanger CAX (phasing data by Hg-MAD)
<p>Diffraction images of mercury-bound H<sup>+</sup>/Ca<sup>2+</sup> exchanger from <em>Archaeoglobus fulgidus</em>. This phase information was used for a PDB entry <a href="https://www.rcsb.org/structure/4KPP">4KPP</a> (<a href="http://science.sciencemag.org/content/341/6142/168">Nishizawa et al. 2013</a>). All data were collected from loop-harvested crystals on BL32XU, SPring-8 at wavelengths of 1.00000 Å (peak), 1.00930 Å (edge), or 1.01300 Å (low remote) using the MX225HE CCD detector.</p> <p>From a mercury-derivatised crystal, helical (360°/crystal, 1°/frame) datasets were collected using 5×1 μm<sup>2</sup> beam. The crystal belonged to space group <em>P</em>2<sub>1</sub> with unit cell parameter a~64, b~98, c~72 Å, β~99°.</p>
Data from: Whiskers provide time-series of toxic and essential trace elements, Se:Hg molar ratios, and stable isotope values of an apex Antarctic predator, the leopard seal
<p>In an era of rapid environmental change and increasing human presence, researchers need efficient tools for tracking contaminants to monitor the health of Antarctic flora and fauna. Here, we examined the utility of leopard seal whiskers as a biomonitoring tool that reconstructs time-series of significant ecological and physiological biomarkers. Leopard seals (<em>Hydrurga leptonyx</em>) are a sentinel species in the Western Antarctic Peninsula due to their apex predator status and top-down effects on several Antarctic species. However, there are few data on their contaminant loads. We analyzed leopard seal whiskers (n = 18 individuals, n = 981 segments) collected during 2018–2019 field seasons to acquire longitudinal profiles of non-essential (Hg, Pb, and Cd) and essential (Se, Cu, and Zn) trace elements, stable isotope (ẟ<sub>15</sub>N and ẟ<sub>13</sub>C) values and to assess Hg risk with Se:Hg molar ratios. Whiskers provided between 46 and 286 cumulative days of growth with a mean ~125 days per whisker (n = 18). Adult whiskers showed variability in non-essential trace elements over time that could partly be explained by changes in diet. Whisker Hg levels were insufficient (<20 ppm) to consider most seals being at "high" risk for Hg toxicity. Nevertheless, maximum Hg concentrations observed in this study were greater than that of leopard seal hair measured two decades ago. However, variation in the Se:Hg molar ratios over time suggest that Se may detoxify Hg burden in leopard seals. Overall, we provide evidence that the analysis of leopard seal whiskers allows for the reconstruction of time-series ecological and physiological data and can be valuable for opportunistically monitoring the health of the leopard seal population and their Antarctic ecosystem during climate change.</p>
GEOS-Chem simulation: Hg forest fluxes
<p>Publication: A spatial assessment of current and future foliar Hg uptake fluxes across European forests</p> <p>This dataset contains modelled values of forest Hg fluxes to Europe from GEOS-Chem.</p> <p>lon: longitude</p> <p>lat: latitude</p> <p>avg_dep_flux_season: forest Hg flux values (g km<sup>-2</sup> d<sup>-1</sup>) averaged over one growing season per spatial tile</p>
Mercury abundance and isotopic composition in granitic rocks: Implications for Hg cycling in the upper continental crust
<p>Mercury (Hg) is a highly volatile metal exhibiting both isotope mass-dependent (MDF, defined as δ<sup>202</sup>Hg) and mass-independent (MIF, expressed as Δ<sup>199</sup>Hg) fractionation. Assessing the Hg isotopic composition of the upper continental crust is crucial for the use of this new geochemical tool for petrogenetic tracing, particularly for understanding crust-mantle interaction. Here, we report Hg isotopic compositions of granitic rocks with distinct source affinity (I-, A-, and S-type) and of metasedimentary enclaves from the South China Craton. The results of more than 100 rock samples show large δ<sup>202</sup>Hg variations of -2.03 to 0.47 ‰ and relatively small Δ<sup>199</sup>Hg variations of -0.16 to 0.09 ‰. The S-type granites studied here exhibit higher δ<sup>202</sup>Hg values (-0.58 to 0.00 ‰; n=57) than their sedimentary protoliths (metasedimentary enclaves; -2.03 to -0.91 ‰; n=7), suggesting significant Hg-MDF during magmatic processes. The Δ<sup>199</sup>Hg values of S-type granites (-0.08 to 0.09 ‰) are indistinguishable from their sedimentary protoliths (-0.16 to 0.02 ‰), suggestive of the absence of Hg-MIF during crustal anatexis and subsequent magmatic differentiation. The I- and A-type granites studied have smaller Δ<sup>199</sup>Hg variations of -0.11 to 0.04 ‰ (n=28) and -0.07 to 0.04 ‰ (n=15), respectively, but are within the range of the S-type granites. The compositional range of all granite variants may be explained by the variable intensity of large-scale MASH (melting-assimilation-storage-homogenization) processes. Our new data combined with previously published data of igneous, sedimentary and metamorphic rocks allow us to estimate that the upper continental crust (UCC) has a Hg abundance of 13.5 ppb and a weighted average δ<sup>202</sup>Hg of -1.15 ± 1.01 ‰ (2SD), which are higher than the corresponding value of the primitive mantle, indicating the enrichment of Hg and δ<sup>202</sup>Hg in the UCC. However, the weighted average Δ<sup>199</sup>Hg value of the UCC (0.03 ± 0.15 ‰; 2SD) is undistinguished from the primitive mantle, suggesting no obvious Hg-MIF during the formation and differentiation of the continental crust.</p>
Data from: Whiskers provide time-series of toxic and essential trace elements, Se:Hg molar ratios, and stable isotope values of an apex Antarctic predator, the leopard seal
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