19 datasets found
  1. Data from: National Climate Database (NCDB)

    • osti.gov
    • data.openei.org
    • +1more
    Updated Sep 30, 2024
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    Habte, Aron; Sengupta, Manajit; Xie, Yu; Yang, Jaemo (2024). National Climate Database (NCDB) [Dataset]. https://www.osti.gov/dataexplorer/biblio/dataset/2460455
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    Dataset updated
    Sep 30, 2024
    Dataset provided by
    United States Department of Energyhttp://energy.gov/
    49.720412758647,-66.5318|25.859431034049,-66.5318|25.859431034049,-126.154525|49.720412758647,-126.154525|49.720412758647,-66.5318
    DOE Open Energy Data Initiative (OEDI); National Renewable Energy Laboratory (NREL)
    Authors
    Habte, Aron; Sengupta, Manajit; Xie, Yu; Yang, Jaemo
    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. B

    CensusCD Neighborhood Change Database (NCDB) 1970-2000

    • borealisdata.ca
    Updated Oct 3, 2014
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    Borealis (2014). CensusCD Neighborhood Change Database (NCDB) 1970-2000 [Dataset]. http://doi.org/10.5683/SP3/XNYROA
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Oct 3, 2014
    Dataset provided by
    Borealis
    License

    https://borealisdata.ca/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=doi:10.5683/SP3/XNYROAhttps://borealisdata.ca/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=doi:10.5683/SP3/XNYROA

    Time period covered
    1970 - 2000
    Area covered
    U.S.
    Description

    The NCDB contains nationwide tract-level data from the 1970, 1980, 1990 and 2000 decennial censuses. CDROM is required to use the data. CD purchased by MPI in 2011 and has been misplaced, though if found it won't run on PCs running Windows 7 or newer. Copy of data is located at Q:\Venture\MasterData\Source\NCDB.

  3. 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.

  4. EPA Facility Registry Service (FRS): NCDB

    • s.cnmilf.com
    • catalog.data.gov
    Updated Mar 3, 2025
    + more versions
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    U.S. Environmental Protection Agency, Office of Environmental Information (Publisher) (2025). EPA Facility Registry Service (FRS): NCDB [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/epa-facility-registry-service-frs-ncdb8
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    Dataset updated
    Mar 3, 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.

  5. f

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

  6. 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
    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

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

  7. National Collision Database

    • open.canada.ca
    • data.wu.ac.at
    csv, pdf, xlsx
    Updated Jan 17, 2025
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    Transport Canada (2025). National Collision Database [Dataset]. https://open.canada.ca/data/en/dataset/1eb9eba7-71d1-4b30-9fb1-30cbdab7e63a
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    xlsx, csv, pdfAvailable download formats
    Dataset updated
    Jan 17, 2025
    Dataset provided by
    Transport Canadahttp://www.tc.gc.ca/
    License

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

    Time period covered
    Jan 1, 1999 - Dec 31, 2017
    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.

  8. f

    Data_Sheet_2_Proton vs. Photon Radiation Therapy for Primary Gliomas: An...

    • frontiersin.figshare.com
    rtf
    Updated Jun 1, 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_2_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.s001
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    rtfAvailable download formats
    Dataset updated
    Jun 1, 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.

  9. EPA Facility Registry Service (FRS): Facility Interests Dataset Download

    • catalog.data.gov
    • data.cnra.ca.gov
    • +4more
    Updated Mar 24, 2025
    + more versions
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    U.S. Environmental Protection Agency, Office of Environmental Information (Publisher) (2025). EPA Facility Registry Service (FRS): Facility Interests Dataset Download [Dataset]. https://catalog.data.gov/dataset/epa-facility-registry-service-frs-facility-interests-dataset-download9
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    Dataset updated
    Mar 24, 2025
    Dataset provided by
    United States Environmental Protection Agencyhttp://www.epa.gov/
    Description

    This downloadable data package 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. The layers comprise the FRS major program databases, including: Assessment Cleanup and Redevelopment Exchange System (ACRES) : brownfields sites ; Air Facility System (AFS) : stationary sources of air pollution ; ICIS-AIR (AIR) : stationary sources of air pollution; Bureau of Indian Affairs (BIA) : schools data on Indian land; Base Realignment and Closure (BRAC) facilities; Clean Air Markets Division Business System (CAMDBS) : market-based air pollution control programs; Comprehensive Environmental Response, Superfund Enterprise Management System (SEMS): hazardous waste sites; Integrated Compliance Information System (ICIS) : integrated enforcement and compliance information; National 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 permits; Radiation Information Database (RADINFO) : radiation and radioactivity facilities; RACT/BACT/LAER Clearinghouse (RBLC) : best available air pollution technology requirements; Resource Conservation and Recovery Act Information System (RCRAInfo) : tracks generators, transporters, treaters, storers, and disposers of hazardous waste; Toxic Release Inventory (TRI) : certain industries that use, manufacture, treat, or transport more than 650 toxic chemicals; Emission Inventory System (EIS) : inventory of large stationary sources and voluntarily-reported smaller sources of air point pollution emitters; countermeasure (SPCC) and facility response plan (FRP) subject facilities; Electronic Greenhouse Gas Reporting Tool (E-GGRT) : large greenhouse gas emitters; Emissions and; Generation Resource Integrated Database (EGRID) : power plants. The 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/enviro/facility-registry-service-frs. Included in this package are a file geodatabase, Esri ArcMap map document and an XML file of this metadata record. Full FGDC metadata records for each layer are contained in the database.

  10. EPA Facility Registry Service (FRS): Facility Interests Dataset

    • data.wu.ac.at
    esri rest, page, zip
    Updated Feb 8, 2018
    + more versions
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    U.S. Environmental Protection Agency (2018). EPA Facility Registry Service (FRS): Facility Interests Dataset [Dataset]. https://data.wu.ac.at/schema/data_gov/Mzk2Zjc3M2QtNWVkZS00NWFkLTg0YWEtYTk1ZDFmMTVjYTgw
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    zip, page, esri restAvailable download formats
    Dataset updated
    Feb 8, 2018
    Dataset provided by
    United States Environmental Protection Agencyhttp://www.epa.gov/
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Area covered
    e3761ae54f1294b47ae51145ef2b8bfa75619348
    Description

    This web 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. The layers comprise the FRS major program databases, including: Assessment Cleanup and Redevelopment Exchange System (ACRES) : brownfields sites ; Air Facility System (AFS) : stationary sources of air pollution ; Air Quality System (AQS) : ambient air pollution data from monitoring stations; Bureau of Indian Affairs (BIA) : schools data on Indian land; Base Realignment and Closure (BRAC) facilities; Clean Air Markets Division Business System (CAMDBS) : market-based air pollution control programs; Comprehensive Environmental Response, Compensation, and Liability Information System (CERCLIS) : hazardous waste sites; Integrated Compliance Information System (ICIS) : integrated enforcement and compliance information; National 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 permits; Radiation Information Database (RADINFO) : radiation and radioactivity facilities; RACT/BACT/LAER Clearinghouse (RBLC) : best available air pollution technology requirements; Resource Conservation and Recovery Act Information System (RCRAInfo) : tracks generators, transporters, treaters, storers, and disposers of hazardous waste; Safe Drinking Water Information System (SDWIS) : public water systems and water system facilities; Toxic Release Inventory (TRI) : certain industries that use, manufacture, treat, or transport more than 650 toxic chemicals; Emission Inventory System (EIS) : inventory of large stationary sources and voluntarily-reported smaller sources of air point pollution emitters; Oil database : spill prevention, control, and countermeasure (SPCC) and facility response plan (FRP) subject facilities; Electronic Greenhouse Gas Reporting Tool (E-GGRT) : large greenhouse gas emitters; Emissions & Generation Resource Integrated Database (EGRID) : power plants. The 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/enviro/facility-registry-service-frs.

  11. f

    Table_1_Disparities in Reported Testing for 1p/19q Codeletion in...

    • frontiersin.figshare.com
    • figshare.com
    docx
    Updated Jun 3, 2023
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    Jad Zreik; Panagiotis Kerezoudis; Mohammed Ali Alvi; Yagiz U. Yolcu; Sani H. Kizilbash (2023). Table_1_Disparities in Reported Testing for 1p/19q Codeletion in Oligodendroglioma and Oligoastrocytoma Patients: An Analysis of the National Cancer Database.docx [Dataset]. http://doi.org/10.3389/fonc.2021.746844.s002
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    docxAvailable download formats
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    Frontiers
    Authors
    Jad Zreik; Panagiotis Kerezoudis; Mohammed Ali Alvi; Yagiz U. Yolcu; Sani H. Kizilbash
    License

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

    Description

    PurposeA chromosomal 1p/19q codeletion was included as a required diagnostic component of oligodendrogliomas in the 2016 World Health Organization (WHO) classification of central nervous system tumors. We sought to evaluate disparities in reported testing for 1p/19q codeletion among oligodendroglioma and oligoastrocytoma patients before and after the guidelines.MethodsThe National Cancer Database (NCDB) was queried for patients with histologically-confirmed WHO grade II/III oligodendroglioma or oligoastrocytoma from 2011-2017. Adjusted odds of having a reported 1p/19q codeletion test for patient- and hospital-level factors were calculated before (2011-2015) and after (2017) the guidelines. The adjusted likelihood of receiving adjuvant treatment (chemotherapy and/or radiotherapy) based on reported testing was also evaluated.ResultsOverall, 6,404 patients were identified. The reported 1p/19q codeletion testing rate increased from 45.8% in 2011 to 59.8% in 2017. From 2011-2015, lack of insurance (OR 0.77; 95% CI 0.62-0.97;p=0.025), lower zip code-level educational attainment (OR 0.62; 95% CI 0.49-0.78;p

  12. d

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

    • catalog.data.gov
    • datasets.ai
    • +1more
    Updated Mar 12, 2025
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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.

  13. Facility Registry Service (FRS) Interests

    • giscommons-countyplanning.opendata.arcgis.com
    • prep-response-portal.napsgfoundation.org
    • +2more
    Updated Jan 9, 2020
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    U.S. EPA (2020). Facility Registry Service (FRS) Interests [Dataset]. https://giscommons-countyplanning.opendata.arcgis.com/maps/cdff193a3e3743a5bc770e2743f215b3
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    Dataset updated
    Jan 9, 2020
    Dataset provided by
    United States Environmental Protection Agencyhttp://www.epa.gov/
    Authors
    U.S. EPA
    Area covered
    North Pacific Ocean, Pacific Ocean
    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.

  14. f

    DataSheet_1_Impact of Tumor Side on Clinical Outcomes in Stage II and III...

    • frontiersin.figshare.com
    pdf
    Updated Jun 10, 2023
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    Mehmet Akce; Katerina Zakka; Renjian Jiang; Shayla Williamson; Olatunji B. Alese; Walid L. Shaib; Christina Wu; Madhusmita Behera; Bassel F. El-Rayes (2023). DataSheet_1_Impact of Tumor Side on Clinical Outcomes in Stage II and III Colon Cancer With Known Microsatellite Instability Status.pdf [Dataset]. http://doi.org/10.3389/fonc.2021.592351.s001
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    pdfAvailable download formats
    Dataset updated
    Jun 10, 2023
    Dataset provided by
    Frontiers
    Authors
    Mehmet Akce; Katerina Zakka; Renjian Jiang; Shayla Williamson; Olatunji B. Alese; Walid L. Shaib; Christina Wu; Madhusmita Behera; Bassel F. El-Rayes
    License

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

    Description

    BackgroundTumor sidedness as a prognostic factor in advanced stage colon cancer (CC) is well established. The impact of tumor sidedness on the clinical outcomes of stage II and III CC has not been well studied.MethodsThe National Cancer Database (NCDB) was utilized to identify patients with pathological stage II and III primary adenocarcinoma of the colon from 2010 to 2015 using ICD-O-3 morphology and topography codes: 8140-47, 8210-11, 8220-21, 8260-63, 8480-81, 8490 and C18.0, 18.2,18.3, 18.5,18.6, 18.7. Univariate (UVA) and multivariable (MVA) survival analyses and Kaplan–Meier Curves with Log-rank test were utilized to compare overall survival (OS) based on tumor location and treatment received.ResultsA total of 35,071 patients with stage II (n = 17,629) and III (n = 17,442) CC were identified. 51.3% female; 81.5% Caucasian; median age 66 (range, 18–90). Majority of stage II and III tumors were right sided, 61.2% (n = 10,794) and 56.0% (n = 9,763). Microsatellite instability high (MSI-H) was more common in stage II compared to III, 23.3% (n = 4,115) vs 18.2% (n = 3,171) (p < 0.0001). In stage II MSI-H CC right was more common than left, 78.3% (n = 3223) vs 21.7% (n = 892). There was no significant difference in survival between stage II MSI-H left vs right (5-year OS 76.2 vs 74.7%, p = 0.1578). Stage II MSS CC right was more common than left, 56.0% (n = 7571) vs 44.0% (n = 5943), and survival was better in the left vs right (5-year OS 73.2 vs 70.8%, p = 0.0029). Stage III MSI-H CC was more common in the right than in the left, 75.6% (n = 2,397) vs 24.4% (n = 774) and survival was better in the left (5-year OS 62.5 vs 56.5%, p = 0.0026). Stage III MSS CC was more common in the right than in the left, 51.6% (n = 7,366) vs 48.4% (n = 6,905), and survival was better in the left vs right (5-year OS 67.0 vs 54.4%, p < 0.001).ConclusionSurvival was better in left sided tumors compared to right in stage II MSS, stage III MSS, and stage III MSI-H CC.

  15. f

    Supplementary Material for: Definitive liver radiotherapy for intrahepatic...

    • karger.figshare.com
    docx
    Updated Jun 2, 2023
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    De B.; Upadhyay R.; Liao K.; Kumala T.; Shi C.; Dodoo G.; AbiJaoude J.; Corrigan K.L.; Manzar G.S.; Marqueen K.E.; Bernard V.; Lee S.S.; Raghav K.P.S.; Vauthey J.-N.; Tzeng C.-W.; TranCao H.S.; Lee G.; Wo J.; Hong T.S.; Crane C.H.; Minsky B.D.; Smith G.L.; Holliday E.B.; Taniguchi C.M.; Koong A.C.; Das P.; Javle M.; Ludmir E.B.; Koay E. (2023). Supplementary Material for: Definitive liver radiotherapy for intrahepatic cholangiocarcinoma with extrahepatic metastases [Dataset]. http://doi.org/10.6084/m9.figshare.22284004.v1
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    docxAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    Karger Publishers
    Authors
    De B.; Upadhyay R.; Liao K.; Kumala T.; Shi C.; Dodoo G.; AbiJaoude J.; Corrigan K.L.; Manzar G.S.; Marqueen K.E.; Bernard V.; Lee S.S.; Raghav K.P.S.; Vauthey J.-N.; Tzeng C.-W.; TranCao H.S.; Lee G.; Wo J.; Hong T.S.; Crane C.H.; Minsky B.D.; Smith G.L.; Holliday E.B.; Taniguchi C.M.; Koong A.C.; Das P.; Javle M.; Ludmir E.B.; Koay E.
    License

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

    Description

    Introduction: Tumor-related liver failure (TRLF) is the most common cause of death in patients with intrahepatic cholangiocarcinoma (ICC). Though we previously showed that liver radiotherapy (L-RT) for locally advanced ICC is associated with less frequent TRLF and longer overall survival (OS), the role of L-RT for patients with extrahepatic metastatic disease (M1) remains undefined. We sought to compare outcomes for M1 ICC patients treated with and without L-RT.

    Methods: We reviewed ICC patients found to have M1 disease at initial diagnosis at a single institution between 2010 and 2021 who received L-RT, matching them with an institutional cohort by propensity score and a National Cancer Database (NCDB) cohort by frequency technique. The median biologically effective dose (BED10) was 98 Gy (interquartile range [IQR] 80.5-97.9 Gy) for L-RT. Patients treated with other local therapies or supportive care alone were excluded. We analyzed survival with Cox proportional hazards modeling.

    Results: We identified 61 patients who received L-RT and 220 who received chemotherapy alone. At median follow up of 11 months after diagnosis, median OS was 9 months (95% confidence interval [CI] 8-11) and 21 months (CI 17-26) for patients receiving chemotherapy alone and L-RT, respectively. TRLF was the cause of death more often in the patients who received chemotherapy alone compared to those who received L-RT (82% vs. 47%; P=0.001). On multivariable propensity-score matched analysis, associations with lower risk of death included duration of upfront chemotherapy (hazard ratio [HR] 0.82; P=0.005) and receipt of L-RT (HR 0.40; P=0.002). The median OS from diagnosis for NCDB chemotherapy alone cohort was shorter than that of the institutional L-RT cohort (9 vs. 22 months; P

  16. f

    Data_Sheet_1_The Incidence of Node-Positive Non-small-Cell Lung Cancer...

    • frontiersin.figshare.com
    • figshare.com
    pdf
    Updated May 30, 2023
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    John M. Varlotto; Isabel Emmerick; Rick Voland; Malcom M. DeCamp; John C. Flickinger; Debra J. Maddox; Christine Herbert; Molly Griffin; Paul Rava; Thomas J. Fitzgerald; Paulo Oliveira; Jennifer Baima; Rahul Sood; William Walsh; Lacey J. McIntosh; Feiran Lou; Mark Maxfield; Negar Rassaei; Karl Uy (2023). Data_Sheet_1_The Incidence of Node-Positive Non-small-Cell Lung Cancer Undergoing Sublobar Resection and the Role of Radiation in Its Management.pdf [Dataset]. http://doi.org/10.3389/fonc.2020.00417.s001
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    pdfAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    Frontiers
    Authors
    John M. Varlotto; Isabel Emmerick; Rick Voland; Malcom M. DeCamp; John C. Flickinger; Debra J. Maddox; Christine Herbert; Molly Griffin; Paul Rava; Thomas J. Fitzgerald; Paulo Oliveira; Jennifer Baima; Rahul Sood; William Walsh; Lacey J. McIntosh; Feiran Lou; Mark Maxfield; Negar Rassaei; Karl Uy
    License

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

    Description

    Purpose: To identify the incidence, preoperative risk factors, and prognosis associated with pathologically positive lymph node (pN+) in patients undergoing a sub-lobar resection (SLR).Methods: This is a retrospective study using the National Cancer Database (NCDB) from 2004 to 2014 analyzing SLR excluding those with any preoperative chemotherapy and/or radiation, follow-up 1 tumor nodule. Multivariable modeling (MVA) was used to determine factors associated with overall survival (OS). Propensity score matching (PSM) was used to determine preoperative risk factors for pN+ in patients having at least one node examined to assess radiation's effect on OS in those patients with pN+ and to determine whether SLR was associated with inferior OS as compared to lobectomy for each nodal stage.Results: A total of 40,202 patients underwent SLR, but only 58.3% had one lymph node examined. Then, 2,615 individuals had pN+ which decreased progressively from 15.1% in 2004 to 8.9% in 2014 (N1, from 6.3 to 3.0%, and N2, from 8.4 to 5.9%). A lower risk of pN+ was noted for squamous cell carcinomas, bronchioloalveolar adenocarcinoma (BAC), adenocarcinomas, and right upper lobe locations. In the pN+ group, OS was worse without chemotherapy or radiation. Radiation was associated with a strong trend for OS in the entire pN+ group (p = 0.0647) which was largely due to the effects on those having N2 disease (p = 0.009) or R1 resections (p = 0.03), but not N1 involvement (p = 0.87). PSM noted that SLR was associated with an inferior OS as compared to lobectomy by nodal stage in the overall patient population and even for those with tumors

  17. a

    FRS SIC

    • data-napsg.opendata.arcgis.com
    • prep-response-portal.napsgfoundation.org
    • +1more
    Updated Sep 25, 2023
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    NAPSG Foundation (2023). FRS SIC [Dataset]. https://data-napsg.opendata.arcgis.com/datasets/frs-sic
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    Dataset updated
    Sep 25, 2023
    Dataset authored and provided by
    NAPSG Foundation
    Area covered
    Description

    This layer may be used for high level understanding of potential facilities with hazardous materials. The information in the EPA Facility Registry Service may be used to track sites, facilities, or areas of environmental interest. This is a view layer that references the original, but is symbolized more clearly and includes labels. ZOOM IN. THIS LAYER IS NOT A SUBSTITUTE for Tier II Facility data, that information should be sought at the State Level from contacts found here https://www.epa.gov/epcra/state-tier-ii-reporting-requirements-and-proceduresOriginal Layer https://www.arcgis.com/home/item.html?id=cdff193a3e3743a5bc770e2743f215b3This downloadable data package 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. The layers 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. Included in this package are a file geodatabase, Esri ArcMap map document and an XML file of this metadata record. Full FGDC metadata records for each layer are contained in the database.

  18. FRS NAICS

    • azgeo-open-data-agic.hub.arcgis.com
    • azgeo-data-hub-agic.hub.arcgis.com
    • +1more
    Updated Mar 28, 2024
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    GeoPlatform ArcGIS Online (2024). FRS NAICS [Dataset]. https://azgeo-open-data-agic.hub.arcgis.com/datasets/geoplatform::frs-naics
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    Dataset updated
    Mar 28, 2024
    Dataset provided by
    Authors
    GeoPlatform ArcGIS Online
    Area covered
    North Pacific Ocean, Pacific Ocean
    Description

    This downloadable data package 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. The layers comprise the FRS major program databases, including: Assessment Cleanup and Redevelopment Exchange System (ACRES) : brownfields sites ; Air Facility System (AFS) : stationary sources of air pollution ; ICIS-AIR (AIR) : stationary sources of air pollution; Bureau of Indian Affairs (BIA) : schools data on Indian land; Base Realignment and Closure (BRAC) facilities; Clean Air Markets Division Business System (CAMDBS) : market-based air pollution control programs; Comprehensive Environmental Response, Superfund Enterprise Management System (SEMS): hazardous waste sites; Integrated Compliance Information System (ICIS) : integrated enforcement and compliance information; National 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 permits; Radiation Information Database (RADINFO) : radiation and radioactivity facilities; RACT/BACT/LAER Clearinghouse (RBLC) : best available air pollution technology requirements; Resource Conservation and Recovery Act Information System (RCRAInfo) : tracks generators, transporters, treaters, storers, and disposers of hazardous waste; Toxic Release Inventory (TRI) : certain industries that use, manufacture, treat, or transport more than 650 toxic chemicals; Emission Inventory System (EIS) : inventory of large stationary sources and voluntarily-reported smaller sources of air point pollution emitters; countermeasure (SPCC) and facility response plan (FRP) subject facilities; Electronic Greenhouse Gas Reporting Tool (E-GGRT) : large greenhouse gas emitters; Emissions and; Generation Resource Integrated Database (EGRID) : power plants. The 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/enviro/facility-registry-service-frs. Included in this package are a file geodatabase, Esri ArcMap map document and an XML file of this metadata record. Full FGDC metadata records for each layer are contained in the database.

  19. a

    FRS NAICS

    • cest-cusec.hub.arcgis.com
    • hub.arcgis.com
    • +1more
    Updated Jan 9, 2020
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    U.S. EPA (2020). FRS NAICS [Dataset]. https://cest-cusec.hub.arcgis.com/datasets/EPA::frs-naics
    Explore at:
    Dataset updated
    Jan 9, 2020
    Dataset authored and provided by
    U.S. EPA
    Area covered
    North Pacific Ocean, Pacific Ocean
    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. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Habte, Aron; Sengupta, Manajit; Xie, Yu; Yang, Jaemo (2024). National Climate Database (NCDB) [Dataset]. https://www.osti.gov/dataexplorer/biblio/dataset/2460455
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Data from: National Climate Database (NCDB)

Related Article
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Dataset updated
Sep 30, 2024
Dataset provided by
United States Department of Energyhttp://energy.gov/
49.720412758647,-66.5318|25.859431034049,-66.5318|25.859431034049,-126.154525|49.720412758647,-126.154525|49.720412758647,-66.5318
DOE Open Energy Data Initiative (OEDI); National Renewable Energy Laboratory (NREL)
Authors
Habte, Aron; Sengupta, Manajit; Xie, Yu; Yang, Jaemo
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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