8 datasets found
  1. e

    llnl.gov Traffic Analytics Data

    • analytics.explodingtopics.com
    Updated Sep 1, 2025
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    (2025). llnl.gov Traffic Analytics Data [Dataset]. https://analytics.explodingtopics.com/website/llnl.gov
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    Dataset updated
    Sep 1, 2025
    Variables measured
    Global Rank, Monthly Visits, Authority Score, US Country Rank, Science Category Rank
    Description

    Traffic analytics, rankings, and competitive metrics for llnl.gov as of September 2025

  2. Community Based Data of Uranium Adsorption onto Quartz

    • osti.gov
    • search.dataone.org
    • +1more
    Updated Feb 27, 2022
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    Subsurface Biogeochemistry of Actinides SFA (2022). Community Based Data of Uranium Adsorption onto Quartz [Dataset]. http://doi.org/10.15485/1880687
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    Dataset updated
    Feb 27, 2022
    Dataset provided by
    United States Department of Energyhttp://energy.gov/
    Office of Sciencehttp://www.er.doe.gov/
    Lawrence Livermore National Laboratoryhttp://www.llnl.gov/
    Subsurface Biogeochemistry of Actinides SFA
    Environmental System Science Data Infrastructure for a Virtual Ecosystem
    Description

    This data upload includes a compilation of experiments for quantifying uranium adsorption onto quartz. The provided .csv file has been compiled from the literature in a findable, accessible, interoperable, reusable (FAIR) data format. This was accomplished using the Lawrence Livermore National Laboratory Surface Complexation Database Converter (SCDC) code written in the R programming language (free licensing available at https://ipo.llnl.gov/technologies/software/llnl-surface-complexation-database-converter-scdc). This constitutes all current data compiled on uranium-quartz interactions in the L-SCIE (LLNL Surface Complexation/Ion Exchange) database (as of 02/28/2022). This data was used to develop surface complexation models that fit the global community dataset (https://doi.org/10.1021/acs.est.1c07109). The FAIR-formatted dataset also enables the implementation of alternative machine-learning approaches that can be explored in the future.

  3. r

    ACCESS1-0 model output prepared for CMIP5 historicalExt

    • researchdata.edu.au
    • data.gov.au
    Updated 2019
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    Sophie Lewis (2019). ACCESS1-0 model output prepared for CMIP5 historicalExt [Dataset]. https://researchdata.edu.au/access1-0-model-cmip5-historicalext/1356997?source=suggested_datasets
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    Dataset updated
    2019
    Dataset provided by
    Australian Ocean Data Network
    Authors
    Sophie Lewis
    Area covered
    Description

    historicalExt is an extension of the historical experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5(http://cmip-pcmdi.llnl.gov/cmip5/). CMIP5 is meant to provide a framework for coordinatedclimate change experiments for the next five years and thus includes simulations forassessment in the AR5 as well as others that extend beyond the AR5.3.2 historical (3.2 Historical) - Version 1: Simulation of recent past (1850 to 2005). Impose changing conditions (consistent with observations).HistoricalExt covers from 2006 to 2020.Experiment design: http://cmip-pcmdi.llnl.gov/cmip5/docs/Taylor_CMIP5_design.pdfList of output variables: http://cmip-pcmdi.llnl.gov/cmip5/docs/standard_output.pdfOutput: time series per variable in model grid spatial resolution in netCDF formatEarth System model and the simulation information: CIM repositoryEntry name/title of data are specified according to the Data Reference Syntax(http://cmip-pcmdi.llnl.gov/cmip5/docs/cmip5_data_reference_syntax.pdf)as activity/product/institute/model/experiment/frequency/modeling realm/MIP table/ensemblemember/version number/variable name/CMOR filename.ncDr Sophie Lewis for the ARC Centre of Excellence for Climate System Science (ARCCSS) has run this particular experiment

  4. r

    CSIRO-Mk3-6-0 model output prepared for CMIP5 piControl

    • researchdata.edu.au
    • data.gov.au
    Updated 2019
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    Stephen Jeffrey; Commonwealth Scientific and Industrial Research Organization/Queensland Climate Change Centre of Excellence (CSIRO-QCCCE); S. Jeffrey; L. Rotstayn; M. Collier; S. Dravitzki; C. Hamalainen; C. Moeseneder; K. Wong; J. Syktus (2019). CSIRO-Mk3-6-0 model output prepared for CMIP5 piControl [Dataset]. https://researchdata.edu.au/csiro-mk3-6-cmip5-picontrol/1357044
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    Dataset updated
    2019
    Dataset provided by
    Australian Ocean Data Network
    Authors
    Stephen Jeffrey; Commonwealth Scientific and Industrial Research Organization/Queensland Climate Change Centre of Excellence (CSIRO-QCCCE); S. Jeffrey; L. Rotstayn; M. Collier; S. Dravitzki; C. Hamalainen; C. Moeseneder; K. Wong; J. Syktus
    Area covered
    Description

    piControl is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5 ( http://cmip-pcmdi.llnl.gov/cmip5/ ). CMIP5 is meant to provide a framework for coordinated climate change experiments for the next five years and thus includes simulations for assessment in the AR5 as well as others that extend beyond the AR5.

    3.1 piControl (3.1 Pre-Industrial Control) - Version 1: Pre-Industrial coupled atmosphere/ocean control run. Imposes non-evolving pre-industrial conditions.

    Experiment design: http://cmip-pcmdi.llnl.gov/cmip5/docs/Taylor_CMIP5_design.pdf List of output variables: http://cmip-pcmdi.llnl.gov/cmip5/docs/standard_output.pdf Output: time series per variable in model grid spatial resolution in netCDF format Earth System model and the simulation information: CIM repository

    Entry name/title of data are specified according to the Data Reference Syntax ( http://cmip-pcmdi.llnl.gov/cmip5/docs/cmip5_data_reference_syntax.pdf ) as activity/product/institute/model/experiment/frequency/modeling realm/MIP table/ensemble member/version number/variable name/CMOR filename.nc .

  5. Data from: Community Based Data of Potentiometric Titration of Iron Oxides:...

    • osti.gov
    • knb.ecoinformatics.org
    • +1more
    Updated Dec 31, 2022
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    Bok, Frank; Chang, Elliot; Han, Sol-Chan; Zavarin, Mavrik; Zechel, Susanne (2022). Community Based Data of Potentiometric Titration of Iron Oxides: Ferrihydrite (HFO), Goethite, Hematite, Magnetite [Dataset]. https://www.osti.gov/dataexplorer/biblio/dataset/1986089
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    Dataset updated
    Dec 31, 2022
    Dataset provided by
    Department of Energy Biological and Environmental Research Program
    United States Department of Energyhttp://energy.gov/
    Office of Sciencehttp://www.er.doe.gov/
    Environmental System Science Data Infrastructure for a Virtual Ecosystem; Subsurface Biogeochemistry of Actinides SFA
    Authors
    Bok, Frank; Chang, Elliot; Han, Sol-Chan; Zavarin, Mavrik; Zechel, Susanne
    Description

    This data release includes experimental data of potentiometric titration for iron oxides. The data in the provided .csv files is not our own experimental data but have been compiled from the multiple literature sources. The master database is L-SCIE (LLNL Surface Complexation/Ion Exchange) database, and the provided .csv files are extracted data from L-SCIE. The .csv files were obtained by using the Lawrence Livermore National Laboratory Surface Complexation Database Converter (SCDC) code written in the R programming language (free licensing available at https://ipo.llnl.gov/technologies/software/llnl-surface-complexation-database-converter-scdc).The released data was used for developing a comprehensive community data-driven surface complexation modeling (SCM) framework for simulating potentiometric titration of mineral surfaces. Compiled community data for ferrihydrite, goethite, hematite, and magnetite are fit to produce representative protolysis constants that can reproduce potentiometric titration data collected from multiple literature sources.

  6. Climate model precipitation data for a myriad of climate forcings

    • figshare.com
    zip
    Updated May 12, 2020
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    Alyssa Atwood (2020). Climate model precipitation data for a myriad of climate forcings [Dataset]. http://doi.org/10.6084/m9.figshare.12284282.v1
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    zipAvailable download formats
    Dataset updated
    May 12, 2020
    Dataset provided by
    figshare
    Figsharehttp://figshare.com/
    Authors
    Alyssa Atwood
    License

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

    Description

    Zip file containing netcdf files of global precipitation data from all climate model simulations listed in Table S1 of the paper "Robust longitudinally-variable responses of the ITCZ to a myriad of climate forcings", by Alyssa R. Atwood, Aaron Donohoe, David S. Battisti, Xiaojuan Liu, and Francesco S.R. Pausata.All CMIP5/PMIP3 and CMIP3/PMIP2 climate model data were downloaded from the Earth System Grid Federation (ESGF) node hosted by Lawrence Livermore National Laboratory data repositories (https://esgf-node.llnl.gov/).

  7. r

    ACCESS1-3 model output prepared for CMIP5 rcp85

    • researchdata.edu.au
    • data.gov.au
    Updated 2019
    + more versions
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    Tony Hirst; CSIRO and BoM (2019). ACCESS1-3 model output prepared for CMIP5 rcp85 [Dataset]. https://researchdata.edu.au/access1-3-model-cmip5-rcp85/1357046?source=suggested_datasets
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    Dataset updated
    2019
    Dataset provided by
    Australian Ocean Data Network
    Authors
    Tony Hirst; CSIRO and BoM
    Area covered
    Description

    rcp85 is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5 ( http://cmip-pcmdi.llnl.gov/cmip5/ ). CMIP5 is meant to provide a framework for coordinated climate change experiments for the next five years and thus includes simulations for assessment in the AR5 as well as others that extend beyond the AR5.

    4.2 rcp85 (4.2 RCP8.5) - Version 1: Future projection (2006-2100) forced by RCP8.5. RCP8.5 is a representative concentration pathway which approximately results in a radiative forcing of 8.5 W m-2 at year 2100, relative to pre-industrial conditions. RCPs are time-dependent, consistent projections of emissions and concentrations of radiatively active gases and particles.

    Experiment design: http://cmip-pcmdi.llnl.gov/cmip5/docs/Taylor_CMIP5_design.pdf List of output variables: http://cmip-pcmdi.llnl.gov/cmip5/docs/standard_output.pdf Output: time series per variable in model grid spatial resolution in netCDF format Earth System model and the simulation information: CIM repository

    Entry name/title of data are specified according to the Data Reference Syntax ( http://cmip-pcmdi.llnl.gov/cmip5/docs/cmip5_data_reference_syntax.pdf ) as activity/product/institute/model/experiment/frequency/modeling realm/MIP table/ensemble member/version number/variable name/CMOR filename.nc .

  8. Data from: input4MIPs.CMIP7.PCMDI.PCMDI-AMIP-1-1-10

    • osti.gov
    • resodate.org
    Updated Aug 26, 2025
    + more versions
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    Ames, Sasha K; Durack, Paul J; Mauzey, Chris; Po-Chedley, Stephen; Taylor, Karl E (2025). input4MIPs.CMIP7.PCMDI.PCMDI-AMIP-1-1-10 [Dataset]. https://www.osti.gov/dataexplorer/biblio/2575015
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    Dataset updated
    Aug 26, 2025
    Dataset provided by
    Office of Sciencehttp://www.er.doe.gov/
    Department of Energy Biological and Environmental Research Program
    Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
    Authors
    Ames, Sasha K; Durack, Paul J; Mauzey, Chris; Po-Chedley, Stephen; Taylor, Karl E
    Description
  9. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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(2025). llnl.gov Traffic Analytics Data [Dataset]. https://analytics.explodingtopics.com/website/llnl.gov

llnl.gov Traffic Analytics Data

Explore at:
Dataset updated
Sep 1, 2025
Variables measured
Global Rank, Monthly Visits, Authority Score, US Country Rank, Science Category Rank
Description

Traffic analytics, rankings, and competitive metrics for llnl.gov as of September 2025

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