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268 results for “mercury”
Fig. 2 in Mercury distribution in different tissues and trophic levels of fish from a tropical reservoir, Brazil
Fig. 2. Mean concentrations and ratios of mercury in muscle of fish collected from Vigário reservoir. Different letters indicate significant difference between groups: inorganic (ab) and organic mercury concentrations (xyz), and ratios of organic mercury (αβγ). Error bars represent the standard deviation of the mean.
Yelkouan shearwater (Puffinus yelkouan) Maltese Islands' colony differences in feather corticosterone, bulk stable isotopes, mercury concentration, adult breeding success and foraging strategies
<p>All data and scripts uploaded and described here are related to the manuscript being submitted under the title: "<span lang="EN-GB">Feather corticosterone and stable isotopes explain fledging and adult breeding success in a burrow-nesting seabird, the Yelkouan shearwater <em>Puffinus yelkouan</em>", accepted for publication in Marine Biology (doi: 10.1007/s00227-025-04748-8).</span></p> <h2><strong><u>Adult Breeding success </u></strong></h2> <p>In the script “YESH_Malta_BreedingSuccess_DSR_Rmark.R” apparent breeding success and daily nest survival rates are estimated for yelkouan shearwater nests in Maltese colonies based on the nest log data found in “BreedingSuccessSummaryData.zip”.</p> <h2><strong><u>Nestling and fledgling feather growth, corticosterone, stable isotopes and mercury</u></strong></h2> <p>The R script “YESH_FeatherGrowth_CORT_SI_Hg_chicks_Malta_Script.R” was written to load, combine and analyse all the data related to measurements of nestling growth, feather corticosterone, bulk stable isotopes and mercury analysis. The folder “YESH_FeatherGrowth_CORT_SI_Hg_chicks_Malta_Data.zip” contains the files with these data as named and loaded in the script. The folder also contains the original outputs from the corticosterone measurements by plate, including standard curves, provided in the subfolder: “CORT_Output_by_plate”. Original outputs as sent from the LIENs laboratory for stable isotopes and mercury can be found in the subfolder “SI_Hg_Outputs”.</p> <h2><strong><u>Adult shearwater tracking data analysis</u></strong></h2> <p>The R script written to analyse gps-logger data is named: “YESH_RM_MJ_ChickRearPeriod_ForagingStrategies.R”</p> <p>Adult yelkouan shearwater gps-logger tracking data during the chick-rearing period from the two colonies compared, Majjistral (MJ) and Rdum tal-Madonna (RM): “YESH_Malta_RM_MJ_ChickRearPeriod.csv”.</p> <p>Apart from the consolidated form the tracking data from the chick-rearing period can be found on BirdLife International Seabird Tracking Database:</p> <p>2012, 2013 & 2014: <a href="https://data.seabirdtracking.org/dataset/836">https://data.seabirdtracking.org/dataset/836</a></p> <p><a href="https://data.seabirdtracking.org/dataset/837">https://data.seabirdtracking.org/dataset/837</a></p> <p><a href="https://data.seabirdtracking.org/dataset/952">https://data.seabirdtracking.org/dataset/952</a></p> <p>2019: <a href="https://data.seabirdtracking.org/dataset/1935">https://data.seabirdtracking.org/dataset/1935</a></p> <p>2021: https://data.seabirdtracking.org/dataset/2223</p> <p>https://data.seabirdtracking.org/dataset/2224</p> <p>2022: <a href="https://data.seabirdtracking.org/dataset/1855">https://data.seabirdtracking.org/dataset/1855</a> </p> <p>“TRACKID_2012_2022_DIAGNOSTICSV3.csv” describes the completeness of tracks based on visual assessment and is loaded during the running of the script.</p> <p>Output shapefiles produced by running the script are provided in the folder: “YESH_RM_MJ_ShapefileOutputs_KDE.zip”.</p> <h2>Acknowledgements and Funding</h2> <p>We are grateful to the German Ornithologists’ Society through which all laboratory analysis was funded with funds from the Ursula Honig estate. Tracking was funded under EU-LIFE+ Malta Seabird Project (LIFE10NAT/MT/090), EU-LIFE Artina (LIFE17 NAT/HR/000594) and EU-LIFE PanPuffinus! (LIFE19 NAT/MT/000982), co-financed respectively by the Maltese Ministry for Sustainable Development, the Environment and Climate Change; Ministry of Education and Employment and Ministry for Agriculture, Fisheries and Animal Rights. All handling and sampling of shearwaters were carried out under permits from the Environment & Resources Authority (ERA) and the Wild Birds Regulation Unit (WBRU). We thank all staff and volunteers of BirdLife Malta having taken part in fieldwork, and all members of the public who contact us for grounded shearwaters. We are grateful to Gaël Guillou of the platform “Analyses isotopiques” for running the stable isotope analyses and to Maud Brault-Favrou of the platform “Analyses élémentaires” for running Hg analyses, both at the LIENSs laboratory. Thanks are due to the CPER (Contrat de Projet Etat-Région) and the FEDER (Fonds Européen de Développement Régional) for funding the AMA and the IRMS of LIENSs. Contributor PB is an honorary member of the IUF (Institut Universitaire de France). </p>
Moon-Mercury-Pleiades Conjunction
<p>Honourable mention in the 2022 IAU OAE Astrophotography Contest, category Still images of celestial patterns.</p> <p> </p> <p>This photograph shows the young lunar crescent, some of the nine brightest stars of the Pleiades (with one behind a cloud) on the right, and the planet Mercury, looking slightly red, in the middle of the image.</p> <p>This picture is rather suggestive of the idea that the Pleiades might possibly consist of seven stars. However, the viewer is misled by the clouds; five of the stars form a tiny chariot, one is next to the handle, and three are at the other end of the quadrilateral. Eight stars would be clearly visible if there were no clouds.</p> <p>This configuration of the young Moon next to the Pleiades is visible only in the northern hemisphere spring. Thus it was used by the ancient Babylonians to determine the second month of their year and to judge whether or not an intercalary month was necessary. At least as early as the second millennium before the common era, the Babylonians used several asterisms for each month, with another one of them reappearing every five days after invisibility during daylight. To determine the necessity of intercalation in order to synchronise the solar and the lunar year, the Babylonians used several asterisms, not only the Pleiades. For instance, they also made use of the bright stars Arcturus and Sirius, and they observed a configuration with the Moon as well as heliacal phenomena. The modern Jewish and modern Islamic traditions still make use of some of the Babylonian astronomical rules. However, given that the constellations have shifted as a result of precession, and the fact that nowadays we also have computational means to calculate our calendars, this configuration of the small crescent Moon and the Pleiades is less useful, though it remains exceptionally beautiful. Thus the ancient Babylonian and middle Babylonian tradition survives only rudimentarily. Furthermore, it is unlikely that it is depicted in the Nebra Disc from Bronze Age Europe, as has long been claimed.</p> <p>This image was taken on Elba Island, Italy, in May 2022.</p> <p>Credit: Giulio Colombo/IAU OAE (<a href="https://creativecommons.org/licenses/by/4.0/legalcode">CC BY 4.0</a>)</p>
Dataset for "Arctic mercury increased through the Last Glacial Termination with a warming climate"
<p>In supplement to: Segato D., Saiz-Lopez A., Mahajan A.S., Wang F., Corella J.P., Cuevas C.A., Erhardt T., Jensen C.M., Zeppenfeld C., Kjær H.A., Turetta C., Cairns W.R.L., Barbante C. and Spolaor A., Arctic mercury increased through the Last Glacial Termination with a warming climate, Nature Geoscience, in press</p> <p>Sheet 1: Mercury (Hg) concentrations measured in the EGRIP ice core for the period 15.7 - 9 kyr before 2000 CE</p> <p>Sheet 2: Bromine (Br), sodium (Na) and calcium (Ca) concentrations measured in the EGRIP ice corefor the period 15.7 - 9 kyr before 2000 CE</p>
The MeSS data used in "A spectral study of the Caloris basin on Mercury and the origin of associated volcanic smooth plains"
<p>This document contains the dataset used in the work « A spectral study of the Caloris basin on Mercury and the origin of associated volcanic smooth plains ». In this study the authors use NASA/MESSENGER/MASCS/VIRS DDR data available at the PDS GeosciencesNode of Washington University, St. Louis, MO, USA. The dataset used contains the latest calibration provided by the MESSENGER science team. (<a href="https://ode.rsl.wustl.edu/mercury/pagehelp/Content/Missions_Instruments/MESSENGER/MASCS/VIRS/Intro.htm">https://ode.rsl.wustl.edu/mercury/pagehelp/Content/Missions_Instruments/MESSENGER/MASCS/VIRS/Intro.htm</a>).</p> <p>The present document contains VIRS DDR reflectance spectra from PDS corrected by the methodology developed by Besse et al., 2015 (<a href="https://doi.org/10.1002/2015JE004819">https://doi.org/10.1002/2015JE004819</a>). Moreover, the document contains the ref_id, the latitude [deg] and longitude [deg] of every footprints used in « A spectral study of the Caloris basin on Mercury and the origin of associated volcanic smooth plains » . All spectral parameters can be calculated directly with these spectra.</p>
Direct evidence of substorm-related impulsive injections of electrons at Mercury
<p>This data set includes electron energy-time spectrograms obtained by MEA1 and MEA2 in units of differential energy flux (eV/cm^2/s/sr/eV) and energetic neutral atoms obtained by ENA in counts during BepiColombo Mio's first Mercury flyby. The data are uncalibrated, thus to properly use these data, contacting PI teams is highly recommended.</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>
Supplementary data for multidimensional drivers of mercury distribution in global surface soils
<p>Global distribution of Hg in surface soils predicted by a machine learning method. </p> <p>Random forest modeling.</p> <p>Latitude 1 degree by longitude 1 degree.</p>
Data from: Maternal provisioning interacts with incubation temperature to affect hatchling mercury exposure in an oviparous reptile
<p>The thermal environment experienced by developing embryos can influence the utilization of maternally-provisioned resources. Despite being particularly consequential for oviparous ectotherms, these dynamics are largely unexplored within ecotoxicological frameworks. Here, we test if incubation temperature interacts with maternally-transferred mercury to affect subsequent body burdens and tissue distributions of mercury in hatchling American alligators (<em>Alligator mississippiensis</em>). Nine clutches of alligator eggs were collected from a mercury-contaminated reservoir and incubated at either female- or male-promoting temperatures. Total mercury (THg) concentration was measured in egg yolk collected during incubation and in a suite of tissues collected from hatchlings. THg concentrations in residual yolk and blood were higher in hatchlings incubated at cooler, female-promoting temperatures compared to the warmer, male-promoting temperatures. THg concentrations in most tissues were positively correlated with THg concentrations in blood and dermis, and egg yolk THg concentration was the best predictor of THg concentration in many resultant tissues. Our results highlight a hereto unknown role of the developmental environment in mediating tissue specific uptake of contaminants in an oviparous reptile.</p>
Maps of solar wind plasma precipitation onto Mercury's surface: a geographical perspective
<p>Data Archive to accompany: "Maps of solar wind plasma precipitation onto Mercury’s surface: a geographical perspective." Federico Lavorenti, Elizabeth A. Jensen, Sae Aizawa, Francesco Califano, Mario D’Amore, Deborah Domingue, Pierre Henri, Simon Lindsay, Jim M. Raines, and Daniel Wolf Savin. Submitted 2023 May to Planetary Science Journal.</p> <p>The files contained in this archive comprise the values shown in Figures 3 & 5.</p>
Environmental and food web determinants of Lake Trout mercury concentrations in Ontario Lakes
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Data from: Maternal provisioning interacts with incubation temperature to affect hatchling mercury exposure in an oviparous reptile
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Using complementary biomarkers to unravel fish lifetime exposure to hypoxia and mercury
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Mercury Imports and Exports of Four Tidal Wetlands in the Sacramento Valley, California
The California Department of Water Resources (DWR) measured import and export loads of methylmercury (MeHg) and total mercury (THg) at four tidal wetlands in the Sacramento Valley of California to comply with the Central Valley Regional Water Quality Control Board’s Delta Methylmercury Total Maximum Daily Load (TMDL). In addition to mercury, DWR collected organic carbon, total suspended sediment, chlorophyll-a, temperature, dissolved oxygen, specific conductance, turbidity, total chlorophyll, velocity, level, and flow data. To do this, three sets of data were collected: 1) velocity, level, and flow data were collected continuously using an Acoustic Doppler Current Profiler, 2) continuous temperature, specific conductance, salinity, dissolved oxygen, turbidity, and total chlorophyll were collected using a water quality sonde, and 3) THg, MeHg, organic carbon, total suspended sediment, and chlorophyll-a were collected via grab samples either by sampling pole or flow-weighted composites with an autosampler.
Trophic structure and mercury transfer in the subarctic fish community of Great Slave Lake, Northwest Territories, Canada
<p>In recent decades, mercury concentrations have increased in fish of Great Slave Lake (GSL), a subarctic great lake in northern Canada with important recreational, subsistence, and commercial fisheries. This study characterized habitat use and trophic position of common fish species in GSL near the City of Yellowknife (Northwest Territories, Canada), measured mercury concentrations in water and in taxa from lower trophic levels of the food web, and examined trophic and biological influences on mercury concentrations within and among fish species. Northern pike (<i>Exos lucius</i>) and lake whitefish (<i>Coregonus clupeformis</i>) fed predominantly nearshore, cisco (<i>Coregonus artedi</i>) and longnose sucker (<i>Catostomus catostomus</i>) fed predominantly offshore, and burbot (<i>Lota lota</i>) fed roughly equally in both habitats. Habitat-specific feeding did not influence mercury bioaccumulation in fish, in contrast with published studies of smaller lakes. Water concentrations of total mercury and methylmercury were low and showed little spatial variation among sites or depths. Zooplankton (>200 µm) had similarly low methylmercury concentrations to littoral and profundal amphipods, suggesting little habitat-variation of mercury exposure near the base of the food web. Age, size, and trophic position were significant explanatory variables for muscle total mercury concentrations within populations of fish species. Among fish species, size and trophic position explained 80% of the variation in muscle total mercury concentrations. This study generated the most comprehensive dataset to date on mercury bioaccumulation in the food web of GSL, which will serve as a baseline for future studies of this great lake.</p>
Seasonal Variability of Mercury's Sodium Exosphere Deduced from MESSENGER Data and Numerical Simulation
<p>This is the dataset used in "Suzuki et al. (2020). Seasonal variability of Mercury's sodium exosphere deduced from MESSENGER data and numerical simulation. <em>Journal of Geophysical Research: Planets</em>, 125, e2020JE006472. doi:10.1029/2020JE006472".</p>
Long-term monitoring of gaseous elementary mercury in background air at the polar station Amderma, Russian Arctic
<p>The produced dataset (in MS Excel format) contains time-series of concentrations of gaseous elementary mercury (GEM, thereafter – mercury) in the background air collected at the Amderma polar station near the Amderma settlement of the Russian Arctic (69,72 deg N; 61,62 deg E; Yugor Peninsula, Russia) from 24th June 2001 until 13th February 2013. The concentrations for mercury are given in ng/m^3. Concentrations were measured in the air at every 30 minute interval using Tekran-2537A instrument. After checking quality of recorded values of the mercury concentration, the average of two consecutive measurements in two channels (average 1 hour measurements) are calculated. Data (as time-series) are grouped into three blocks covering different time periods and adjacent locations. First block covers period from 24th June 2001 to 13th February 2004 (when the analyzer was located at a distance of about 9 km from the coastline of the Kara Sea). Second block covers period from 3th April 2005 to 12th June 2010 (when the analyzer was placed at 2.5 km from the coast). Third block covers period from 15th June 2010 to 10th October 2013 (the analyzer was set up at a distance of 200 m from the coastline of the sea). </p>
Model Output for: "MESSENGER observations of Mercury's planetary ion escape rates and their dependence on true anomaly angle"
<p>In the manuscript titled ‘MESSENGER Observations of Mercury’s Planetary Ion Escape Rates and Their Dependence on True Anomaly Angle’, submitted to Geophysical Research Letters, we provide an analysis of test sodium ion (Na+) particles. These test particles, integral to our research, are illustrated in Figure 4. This dataset contains an ASCII file with detailed information and descriptions of these test particles.</p>
"Mercury about to kill Argos" by B. Thorvaldsen
Sculpture "Mercury about to kill Argos" by Bertel Thorvaldsen ID no.: ND 11280 Museum: The National Museum in Kraków https://muzea.malopolska.pl/en/objects-list/15 Object copyright: The National Museum in Kraków Digitalisation: RDW MIC, Małopolska's Virtual Museums project Source: Objaverse 1.0 / Sketchfab
Gaedy Mercury Vacuum Pump
Time and place of creation: early 20th century, Cologne, Germany Creator: E. Leybold's Nachfolger Inventory number: 4262; 262/V Museum: Jagiellonian University Museum Collegium Maius Digitalisation: Digitalisation: RDW MIC, Virtual Małopolska project https://muzea.malopolska.pl/en/objects-list/2756 Source: Objaverse 1.0 / Sketchfab
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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.