29 datasets found
  1. d

    Data from: National Climate Database (NCDB)

    • catalog.data.gov
    • data.openei.org
    • +2more
    Updated Oct 10, 2024
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    National Renewable Energy Laboratory (NREL) (2024). National Climate Database (NCDB) [Dataset]. https://catalog.data.gov/dataset/national-climate-database-ncdb
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    Dataset updated
    Oct 10, 2024
    Dataset provided by
    National Renewable Energy Laboratory (NREL)
    Description

    The National Climate Database (NCDB) is a high resolution, bias-corrected climate dataset consisting of the three most widely used variables of solar radiation- global horizontal (GHI), direct normal (DNI), and diffuse horizontal irradiance (DHI)- as well as other meteorological data. The goal of the NCDB is to provide unbiased high temporal and spatial resolution climate data needed for renewable energy modeling. The NCDB is modeled using a statistical downscaling approach with Regional Climate Model (RCM)-based climate projections obtained from the North American Coordinated Regional Climate Downscaling Experiment (NA-CORDEX; linked below). Daily climate projections simulated by the Canadian Regional Climate Model 4 (CanRCM4) forced by the second-generation Canadian Earth System Model (CanESM2) for two Representative Concentration Pathways (RCP4.5 or moderate emissions scenario and RCP8.5 or highest baseline emission scenario) are selected as inputs to the statistical downscaling models. The National Solar Radiation Database (NSRDB) is used to build and calibrate statistical models.

  2. d

    National Cancer Data Base

    • datadiscoverystudio.org
    resource url
    Updated 1989
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    (1989). National Cancer Data Base [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/92cc2218894842eaa62a722d5f467618/html
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    resource urlAvailable download formats
    Dataset updated
    1989
    Area covered
    Description

    Link Function: information

  3. NCDB Data Dictonary

    • kaggle.com
    Updated Sep 19, 2019
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    Carleton AI Society (2019). NCDB Data Dictonary [Dataset]. https://www.kaggle.com/carletonai/ncdb-data-dictonary
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 19, 2019
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Carleton AI Society
    Description

    Dataset

    This dataset was created by Carleton AI Society

    Contents

  4. f

    Data Sheet 1_Implications of primary tumor site and fraction size on...

    • frontiersin.figshare.com
    docx
    Updated Mar 31, 2025
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    Riley P. McDougall; Quoc-Anh Ho; Charles Hsu; Jared R. Robbins (2025). Data Sheet 1_Implications of primary tumor site and fraction size on outcomes of palliative radiation for osseous metastases.docx [Dataset]. http://doi.org/10.3389/fonc.2025.1432916.s001
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    docxAvailable download formats
    Dataset updated
    Mar 31, 2025
    Dataset provided by
    Frontiers
    Authors
    Riley P. McDougall; Quoc-Anh Ho; Charles Hsu; Jared R. Robbins
    License

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

    Description

    PurposeThis study reviewed palliative radiation therapy (RT) practices and outcomes and compared the percentage of remaining life spent receiving RT (PRLSRT) in patients treated for osseous metastases.MethodsA retrospective analysis was conducted using the National Cancer Database (2010–2016) to evaluate metastatic patients who received palliative bone RT. Common palliative RT schemes were analyzed to determine treatment patterns and outcomes. Palliative outcomes, including median PRLSRT, RT completion, and mortality rates, were calculated. Binary logistic regression was performed to identify factors affecting RT completion, and a scoring system was developed to identify patients at risk for poor palliative outcomes.ResultsA total of 50,929 patients were included, with the majority diagnosed with NSCLC (45.2%), breast cancer (15.1%), or prostate cancer (10.8%). The median overall survival after palliative RT was 5.74 months. Patients receiving lower doses per fraction (2.5 Gy/Fx) tended to be younger, healthier, and yet experienced worse palliative outcomes. Binary logistic regression identified age, race, income quartile, and Gy/Fx as significant factors affecting RT completion. Median PRLSRTs were as follows: 14.95% for GI NOS, 9.89% for upper GI, 9.46% for NSCLC, 8.67% for skin, 7.06% for SCLC, 6.10% for lower GI, 5.59% for GYN, 5.44% for GU, 5.35% for HNC, 2.05% for endocrine, 2.03% for prostate cancer, and 1.82% for breast cancer. Patients receiving 2.5 and 3 Gy/Fx were less likely to complete RT compared to those receiving 4 Gy/Fx (OR, 1.429 and 3.780, respectively; p < 0.001). Age, comorbidities, primary tumor, target location, and metastatic burden were associated with PRLSRT ≥ 25%.ConclusionDose regimens and patient selection influence palliative bone RT outcomes. Both factors should be carefully considered to minimize the burden of care and maximize treatment benefits.

  5. EPA Facility Registry Service (FRS): NCDB

    • catalog.data.gov
    • datadiscoverystudio.org
    • +2more
    Updated Jun 30, 2025
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    U.S. Environmental Protection Agency, Office of Environmental Information (Publisher) (2025). EPA Facility Registry Service (FRS): NCDB [Dataset]. https://catalog.data.gov/dataset/epa-facility-registry-service-frs-ncdb8
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    Dataset updated
    Jun 30, 2025
    Dataset provided by
    United States Environmental Protection Agencyhttp://www.epa.gov/
    Description

    This web feature service contains location and facility identification information from EPA's Facility Registry Service (FRS) for the subset of facilities that link to the National Compliance Database (NCDB). The NCDB supports implementation of the Federal Insecticide, Fungicide, and Rodenticide Act (FIFRA) and the Toxic Substances Control Act (TSCA). FRS identifies and geospatially locates facilities, sites or places subject to environmental regulations or of environmental interest. Using vigorous verification and data management procedures, FRS integrates facility data from EPA's national program systems, other federal agencies, and State and tribal master facility records and provides EPA with a centrally managed, single source of comprehensive and authoritative information on facilities. This data set contains the subset of FRS integrated facilities that link to NCDB facilities once the NCDB data has been integrated into the FRS database. Additional information on FRS is available at the EPA website https://www.epa.gov/enviro/facility-registry-service-frs.

  6. Comparison of operative data and long-term survival for the appendicular and...

    • plos.figshare.com
    xls
    Updated Jun 16, 2023
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    Taylor D. Ottesen; Blake N. Shultz; Alana M. Munger; Michael Amick; Courtney S. Toombs; Gary E. Friedaender; Jonathan N. Grauer (2023). Comparison of operative data and long-term survival for the appendicular and axial cohorts. [Dataset]. http://doi.org/10.1371/journal.pone.0268215.t002
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    xlsAvailable download formats
    Dataset updated
    Jun 16, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Taylor D. Ottesen; Blake N. Shultz; Alana M. Munger; Michael Amick; Courtney S. Toombs; Gary E. Friedaender; Jonathan N. Grauer
    License

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

    Description

    Comparison of operative data and long-term survival for the appendicular and axial cohorts.

  7. f

    Multivariate Cox analysis of the likelihood of death at any given time for...

    • plos.figshare.com
    xls
    Updated Jun 14, 2023
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    Taylor D. Ottesen; Blake N. Shultz; Alana M. Munger; Michael Amick; Courtney S. Toombs; Gary E. Friedaender; Jonathan N. Grauer (2023). Multivariate Cox analysis of the likelihood of death at any given time for demographic and operative variables for the appendicular cohort. [Dataset]. http://doi.org/10.1371/journal.pone.0268215.t003
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    xlsAvailable download formats
    Dataset updated
    Jun 14, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Taylor D. Ottesen; Blake N. Shultz; Alana M. Munger; Michael Amick; Courtney S. Toombs; Gary E. Friedaender; Jonathan N. Grauer
    License

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

    Description

    Multivariate Cox analysis of the likelihood of death at any given time for demographic and operative variables for the appendicular cohort.

  8. m

    Original cohorts of bladder cancer with brain metastasis in NCDB

    • data.mendeley.com
    Updated Mar 8, 2019
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    Zhixian Yao (2019). Original cohorts of bladder cancer with brain metastasis in NCDB [Dataset]. http://doi.org/10.17632/nn6y58v8vv.1
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    Dataset updated
    Mar 8, 2019
    Authors
    Zhixian Yao
    License

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

    Description

    Original cohorts of bladder cancer with brain metastasis in NCDB

  9. Difference-in-differences analysis for receipt and time to treatment among...

    • plos.figshare.com
    xls
    Updated Jun 9, 2023
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    Xuesong Han; Jingxuan Zhao; Kathryn J. Ruddy; Chun Chieh Lin; Helmneh M. Sineshaw; Ahmedin Jemal (2023). Difference-in-differences analysis for receipt and time to treatment among young breast cancer patients, NCDB 2007–2013. [Dataset]. http://doi.org/10.1371/journal.pone.0198771.t002
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    xlsAvailable download formats
    Dataset updated
    Jun 9, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Xuesong Han; Jingxuan Zhao; Kathryn J. Ruddy; Chun Chieh Lin; Helmneh M. Sineshaw; Ahmedin Jemal
    License

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

    Description

    Difference-in-differences analysis for receipt and time to treatment among young breast cancer patients, NCDB 2007–2013.

  10. IL_EPA_WQX-NCDB-01

    • geoconnex.us
    Updated Jan 1, 2008
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    illinois epa (2008). IL_EPA_WQX-NCDB-01 [Dataset]. https://geoconnex.us/iow/wqp/IL_EPA_WQX-NCDB-01
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    text/comma-separated-valuesAvailable download formats
    Dataset updated
    Jan 1, 2008
    Dataset provided by
    Illinois Environmental Protection Agency
    United States Environmental Protection Agencyhttp://www.epa.gov/
    Time period covered
    Jan 1, 2008 - Dec 31, 2008
    Area covered
    Illinois
    Variables measured
    Hexachlorobenzene
    Description

    Hexachlorobenzene at IL_EPA_WQX-NCDB-01

  11. f

    Characteristics for young breast cancer patients, NCDB 2007–2013.

    • plos.figshare.com
    • figshare.com
    xls
    Updated Jun 4, 2023
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    Xuesong Han; Jingxuan Zhao; Kathryn J. Ruddy; Chun Chieh Lin; Helmneh M. Sineshaw; Ahmedin Jemal (2023). Characteristics for young breast cancer patients, NCDB 2007–2013. [Dataset]. http://doi.org/10.1371/journal.pone.0198771.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 4, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Xuesong Han; Jingxuan Zhao; Kathryn J. Ruddy; Chun Chieh Lin; Helmneh M. Sineshaw; Ahmedin Jemal
    License

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

    Description

    Characteristics for young breast cancer patients, NCDB 2007–2013.

  12. u

    National Collision Database - Catalogue - Canadian Urban Data Catalogue...

    • data.urbandatacentre.ca
    • beta.data.urbandatacentre.ca
    Updated Oct 1, 2024
    + more versions
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    (2024). National Collision Database - Catalogue - Canadian Urban Data Catalogue (CUDC) [Dataset]. https://data.urbandatacentre.ca/dataset/gov-canada-1eb9eba7-71d1-4b30-9fb1-30cbdab7e63a
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    Dataset updated
    Oct 1, 2024
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Area covered
    Canada
    Description

    National Collision Database (NCDB) – a database containing all police-reported motor vehicle collisions on public roads in Canada. Selected variables (data elements) relating to fatal and injury collisions for the collisions from 1999 to the most recent available data.

  13. any-read.net-owner-ncdb@customers.whoisprivacycorp.com - Reverse Whois...

    • whoisdatacenter.com
    csv
    Updated Sep 26, 2017
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    AllHeart Web Inc (2017). any-read.net-owner-ncdb@customers.whoisprivacycorp.com - Reverse Whois Lookup [Dataset]. https://whoisdatacenter.com/email/any-read.net-owner-ncdb@customers.whoisprivacycorp.com/
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    csvAvailable download formats
    Dataset updated
    Sep 26, 2017
    Dataset provided by
    AllHeart Web
    Authors
    AllHeart Web Inc
    License

    https://whoisdatacenter.com/terms-of-use/https://whoisdatacenter.com/terms-of-use/

    Time period covered
    Mar 15, 1985 - Jul 12, 2025
    Description

    Explore historical ownership and registration records by performing a reverse Whois lookup for the email address any-read.net-owner-ncdb@customers.whoisprivacycorp.com..

  14. NCDB_2014

    • kaggle.com
    zip
    Updated Sep 18, 2019
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    Carleton AI Society (2019). NCDB_2014 [Dataset]. https://www.kaggle.com/carletonai/ncdb-2014
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    zip(2588727 bytes)Available download formats
    Dataset updated
    Sep 18, 2019
    Authors
    Carleton AI Society
    Description

    Dataset

    This dataset was created by Carleton AI Society

    Contents

  15. a

    HIST FIFRA TSCA Tracking System

    • hub.arcgis.com
    • hhcusf-usfaist.opendata.arcgis.com
    • +1more
    Updated Dec 7, 2017
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    Center for Digital Heritage and Geospatial Information (2017). HIST FIFRA TSCA Tracking System [Dataset]. https://hub.arcgis.com/datasets/d3fa07cbc719434b98ded163835e4a6a
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    Dataset updated
    Dec 7, 2017
    Dataset authored and provided by
    Center for Digital Heritage and Geospatial Information
    Area covered
    Description

    A complete administrative case listing from the FIFRA/TSCA Tracking System (FTTS) for all ten EPA regions. The information was obtained from the National Compliance Database (NCDB). NCDB supports the implementation of FIFRA (Federal Insecticide, Fungicide, and Rodenticide Act) and TSCA (Toxic Substances Control Act). Some EPA regions are now closing out records. Because of that, and the fact that some EPA regions are not providing EPA Headquarters with updated records, it was decided to create a HIST FTTS database. It included records that may not be included in the newer FTTS database updates. This database is no longer updated.

  16. d

    Data from: Spatial Analysis of Rare Crimes: Homicides in Chicago, Illinois,...

    • catalog.data.gov
    • datasets.ai
    • +2more
    Updated Mar 12, 2025
    + more versions
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    National Institute of Justice (2025). Spatial Analysis of Rare Crimes: Homicides in Chicago, Illinois, 1989-1991 [Dataset]. https://catalog.data.gov/dataset/spatial-analysis-of-rare-crimes-homicides-in-chicago-illinois-1989-1991-6879e
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    Dataset updated
    Mar 12, 2025
    Dataset provided by
    National Institute of Justice
    Area covered
    Illinois, Chicago
    Description

    This project's main goal was to develop an analytical framework that could be used for analysis of rare crimes observed at local (intra-city) levels of geographic aggregation. To demonstrate the application of this framework to a real-world issue, this project analyzed the occurrence of different types of homicide at both the census tract and neighborhood cluster level in Chicago. Homicide counts for Chicago's 865 census tracts for 1989-1991 were obtained from HOMICIDES IN CHICAGO, 1965-1995 (ICPSR 6399), Part 1: Victim Level Data. The types of homicide examined were gang-related, instrumental, family-related expressive, known person expressive, stranger expressive, and other. Demographic and socioeconomic data at the census tract level for the year 1990 were obtained from the Neighborhood Change Database (NCDB) at the Urban Institute. Part 1 contains these data, as initially obtained, at the census tract level. Part 2 contains an aggregated version of the same data for Chicago's 343 neighborhood clusters as defined by the Project on Human Development in Chicago's Neighborhoods.

  17. f

    Data_Sheet_4_Proton vs. Photon Radiation Therapy for Primary Gliomas: An...

    • frontiersin.figshare.com
    rtf
    Updated Jun 3, 2023
    + more versions
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    Jaymin Jhaveri; En Cheng; Sibo Tian; Zachary Buchwald; Mudit Chowdhary; Yuan Liu; Theresa W. Gillespie; Jeffrey J. Olson; Aidnag Z. Diaz; Alfredo Voloschin; Bree R. Eaton; Ian R. Crocker; Mark W. McDonald; Walter J. Curran; Kirtesh R. Patel (2023). Data_Sheet_4_Proton vs. Photon Radiation Therapy for Primary Gliomas: An Analysis of the National Cancer Data Base.doc [Dataset]. http://doi.org/10.3389/fonc.2018.00440.s003
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    rtfAvailable download formats
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    Frontiers
    Authors
    Jaymin Jhaveri; En Cheng; Sibo Tian; Zachary Buchwald; Mudit Chowdhary; Yuan Liu; Theresa W. Gillespie; Jeffrey J. Olson; Aidnag Z. Diaz; Alfredo Voloschin; Bree R. Eaton; Ian R. Crocker; Mark W. McDonald; Walter J. Curran; Kirtesh R. Patel
    License

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

    Description

    Background: To investigate the impact of proton radiotherapy (PBT) on overall survival (OS) and evaluate PBT usage trends for patients with gliomas in the National Cancer Data Base (NCDB).Methods: Patients with a diagnosis of World Health Organization (WHO) Grade I-IV glioma treated with definitive radiation therapy (RT) between the years of 2004–13 were identified. Patients were stratified based on WHO Grade and photon radiotherapy (XRT) vs. PBT. Univariate (UVA) and multivariable analysis (MVA) with OS were performed by Cox proportional hazards model and log-rank tests. Propensity score (PS) weighting was utilized to account for differences in patient characteristics and to minimize selection bias.Results: There were a total of 49,405 patients treated with XRT and 170 patients treated with PBT. Median follow-up time was 62.1 months. On MVA, the following factors were associated with receipt of PBT (all p < 0.05): WHO Grade I-II gliomas, treatment at an academic/research program, west geographic facility location, and surgical resection. After PS weighting, all patients treated with PBT were found to have superior median and 5 year survival than patients treated with XRT: 45.9 vs. 29.7 months (p = 0.009) and 46.1 vs. 35.5% (p = 0.0160), respectively.Conclusions: PBT is associated with improved OS compared to XRT for patients with gliomas. This finding warrants verification in the randomized trial setting in order to account for potential patient imbalances not adequately captured by the NCDB, such as tumor molecular characteristics and patient performance status.Importance of the Study: This is the first study that compares the outcomes of patients treated with photon based radiotherapy vs. proton based radiotherapy for patients with gliomas. In this retrospective analysis, the results demonstrate that proton therapy is associated with improved outcomes which support ongoing prospective, randomized clinical trials comparing the two modalities in patients with gliomas.

  18. f

    Comparison of demographics between the appendicular, axial, and other...

    • figshare.com
    xls
    Updated Jun 16, 2023
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    Taylor D. Ottesen; Blake N. Shultz; Alana M. Munger; Michael Amick; Courtney S. Toombs; Gary E. Friedaender; Jonathan N. Grauer (2023). Comparison of demographics between the appendicular, axial, and other osteosarcoma cohorts. [Dataset]. http://doi.org/10.1371/journal.pone.0268215.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 16, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Taylor D. Ottesen; Blake N. Shultz; Alana M. Munger; Michael Amick; Courtney S. Toombs; Gary E. Friedaender; Jonathan N. Grauer
    License

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

    Description

    Comparison of demographics between the appendicular, axial, and other osteosarcoma cohorts.

  19. a

    FRS SIC

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • prep-response-portal.napsgfoundation.org
    • +9more
    Updated Jan 9, 2020
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    GeoPlatform ArcGIS Online (2020). FRS SIC [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/datasets/geoplatform::epa-facility-registry-service-frs-interests?layer=2
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    Dataset updated
    Jan 9, 2020
    Dataset authored and provided by
    GeoPlatform ArcGIS Online
    Area covered
    Description

    This feature service consists of location and facility identification information from EPA's Facility Registry Service (FRS) for all sites that are available in the FRS individual feature layers. Although we have taken all available measures to optimize performance, because this service contains the full universe of FRS regulated facilities, the total data volume may lead to slow performance for many applications. We strongly recommend choosing from one of the feature services below which comprise the FRS major program databases, including: Assessment Cleanup and Redevelopment Exchange System (ACRES) : brownfields sites Air Facility System (AFS) : stationary sources of air pollutionICIS-AIR (AIR) : stationary sources of air pollutionBureau of Indian Affairs (BIA) : schools data on Indian landBase Realignment and Closure (BRAC) facilitiesClean Air Markets Division Business System (CAMDBS) : market-based air pollution control programsComprehensive Environmental Response, Superfund Enterprise Management System (SEMS): hazardous waste sitesIntegrated Compliance Information System (ICIS) : integrated enforcement and compliance informationNational Compliance Database (NCDB) : Federal Insecticide, Fungicide, and Rodenticide Act (FIFRA) and the Toxic Substances Control Act (TSCA)National Pollutant Discharge Elimination System (NPDES) module of ICIS : NPDES surface water permitsRadiation Information Database (RADINFO) : radiation and radioactivity facilitiesRACT/BACT/LAER Clearinghouse (RBLC) : best available air pollution technology requirementsResource Conservation and Recovery Act Information System (RCRAInfo) : tracks generators, transporters, treaters, storers, and disposers of hazardous wasteToxic Release Inventory (TRI) : certain industries that use, manufacture, treat, or transport more than 650 toxic chemicalsEmission Inventory System (EIS) : inventory of large stationary sources and voluntarily-reported smaller sources of air point pollution emittersCountermeasure (SPCC) and facility response plan (FRP) subject facilitiesElectronic Greenhouse Gas Reporting Tool (E-GGRT) : large greenhouse gas emittersEmissions and; Generation Resource Integrated Database (EGRID) : power plantsThe Facility Registry Service (FRS) identifies and geospatially locates facilities, sites or places subject to environmental regulations or of environmental interest. Using vigorous verification and data management procedures, FRS integrates facility data from EPA's national program systems, other federal agencies, and State and tribal master facility records and provides EPA with a centrally managed, single source of comprehensive and authoritative information on facilities. This data set contains the FRS facilities that link to the programs listed above once the program data has been integrated into the FRS database. Additional information on FRS is available at the EPA website https://www.epa.gov/frs. EPA also publishes a download package that includes a file geodatabase, Esri ArcMap map document and an XML file of this metadata record and is refreshed on the same cycle as this service. Full FGDC metadata records for each layer are contained in the database.

  20. f

    Tumor histology of patients undergoing HIPEC and CRS by gender.

    • figshare.com
    xls
    Updated Jun 10, 2023
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    Noah S. Rozich; Samara E. Lewis; Sixia Chen; Kenneth E. Stewart; Michael B. Stout; William C. Dooley; Laura E. Fischer; Katherine T. Morris (2023). Tumor histology of patients undergoing HIPEC and CRS by gender. [Dataset]. http://doi.org/10.1371/journal.pone.0250726.t003
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    xlsAvailable download formats
    Dataset updated
    Jun 10, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Noah S. Rozich; Samara E. Lewis; Sixia Chen; Kenneth E. Stewart; Michael B. Stout; William C. Dooley; Laura E. Fischer; Katherine T. Morris
    License

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

    Description

    Tumor histology of patients undergoing HIPEC and CRS by gender.

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National Renewable Energy Laboratory (NREL) (2024). National Climate Database (NCDB) [Dataset]. https://catalog.data.gov/dataset/national-climate-database-ncdb

Data from: National Climate Database (NCDB)

Related Article
Explore at:
Dataset updated
Oct 10, 2024
Dataset provided by
National Renewable Energy Laboratory (NREL)
Description

The National Climate Database (NCDB) is a high resolution, bias-corrected climate dataset consisting of the three most widely used variables of solar radiation- global horizontal (GHI), direct normal (DNI), and diffuse horizontal irradiance (DHI)- as well as other meteorological data. The goal of the NCDB is to provide unbiased high temporal and spatial resolution climate data needed for renewable energy modeling. The NCDB is modeled using a statistical downscaling approach with Regional Climate Model (RCM)-based climate projections obtained from the North American Coordinated Regional Climate Downscaling Experiment (NA-CORDEX; linked below). Daily climate projections simulated by the Canadian Regional Climate Model 4 (CanRCM4) forced by the second-generation Canadian Earth System Model (CanESM2) for two Representative Concentration Pathways (RCP4.5 or moderate emissions scenario and RCP8.5 or highest baseline emission scenario) are selected as inputs to the statistical downscaling models. The National Solar Radiation Database (NSRDB) is used to build and calibrate statistical models.

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