This layer displays points of submission sites extracted from the 2012 Chemical Data Reporting (CDR) database. The CDR database contains comprehensive use and exposure information on the most widely used chemicals in the United States. This layer is drawn at all scales and was procured for EPA through the Office of Pollution Prevention and Toxics (OPPT).

Abstract ======== This data set consists of the MESSENGER MAG calibrated observations, also known as CDRs. The MAG experiment is a miniature three-axis ring-core fluxgate magnetometer with low- noise electronics. There are five MAG CDR data products, which mainly differ in the coordinate system.

This dataset provides information about the telecommunication activity . The dataset is the result of a computation over the Call Detail Records (CDRs) generated by the Telecom usa cellular network over the many cities. CDRs log the user activity for billing purposes and network management.

The MESSENGER XRS CDR data consist of x-ray spectra and instrument data collected by the XRS instrument during cruise, fly-by and orbital operations at Mercury, along with observations of Venus, and observations taken of Cassiopeia-A for calibration.

This NOAA Climate Data Record (CDR) of Zonal Mean Ozone Binary Database of Profiles (BDBP) dataset is a vertically resolved, global, gap-free and zonal mean dataset that was created with a multiple-linear regression model. The dataset has a monthly resolution and spans the period 1979 to 2007. It provides global product in 5 degree zonal bands, and 70 vertical levels of the atmosphere. The regression is based on monthly mean ozone concentrations that were calculated from several different satellite instruments and global ozone soundings. Due to the regression model that was used to create the product, various basis function contributions are provided as unique levels or tiers. To understand the different contributions of basis functions, the data product is provided in five different "Tiers". - Tier 0: raw monthly mean data that was used in the regression model - Tier 1.1: Anthropogenic influences (as determined by the regression model) - Tier 1.2: Natural influences (as determined by the regression model) - Tier 1.3: Natural and volcanic influences (as determined by the regression model) - Tier 1.4: All influences (as determined by the regression model, CDR variable)

This volume contains calibrated (CDR) and derived (DDR) data and associated documentation from the MESSENGER Neutron Spectrometer (NS).

This Climate Data Record (CDR) contains the daily mean Outgoing Longwave Radiation (OLR) time series in global 1 degree x 1 degree equal-angle gridded maps spanning from January 1, 1979 to December 31, 2013, and continuing daily with a two-day lag. The OLR is estimated directly from the HIRS radiance observations for all sky conditions. The observations from imagers onboard international operational geostationary satellites are incorporated to improve the sampling of the OLR diurnal variation. The Daily OLR CDR is at its initial version 1.2. The data file format is netCDF-4 with CF metadata, and it is accompanied by algorithm documentation, data flow diagram and source code for the NOAA CDR Program.

NOAA's Climate Data Records (CDRs) are robust, sustainable, and scientifically sound climate records that provide trustworthy information on how, where, and to what extent the land, oceans, atmosphere and ice sheets are changing. These datasets are thoroughly vetted time series measurements with the longevity, consistency, and continuity to assess and measure climate variability and change. NOAA CDRs are vetted using standards established by the National Research Council (NRC).

Climate Data Records are created by merging data from surface, atmosphere, and space-based systems across decades. NOAA’s Climate Data Records provides authoritative and traceable long-term climate records. NOAA developed CDRs by applying modern data analysis methods to historical global satellite data. This process can clarify the underlying climate trends within the data and allows researchers and other users to identify economic and scientific value in these records. NCEI maintains and extends CDRs by applying the same methods to present-day and future satellite measurements.

Terrestrial CDRs are composed of sensor data that have been improved and quality controlled over time, together with ancillary calibration data.

The product is the aerosol optical thickness (AOT) at 0.63 micron, which is retrieved from NOAA PATMOS-x level-2B orbital radinace and cloud CDR products. The retrieval is performed for selected spatial (0.1 by 0.1 degree) and temporal (1 time per day per satellite) resolution in cloud free condition during daytime. The final product is daily averaged from all satellite retrivals and in a 0.1 by 0.1 degree equal angle grid (total 1800x3600 grids over the globe). Due to the relatively large uncertainties associated with surface reflectance over water glint area and land surface as well as limited AVHRR retrieval channels, the current algorithm only performs retrieval over none-glint water surface (specifically at the anti-solar side of the orbit and viewing angle is larger than 40 degree away from the specular ray). The final CDR AOT products include daily and monthly products

Note: This dataset version has been superseded by a newer version. It is highly recommended that users access the current version. Users should only use this version for special cases, such as reproducing studies that used this version. This Climate Data Record (CDR) contains solar spectral irradiance (SSI) as a function of time and wavelength created with the Naval Research Laboratory model for spectral and total irradiance (version 2). Solar spectral irradiance is the wavelength-dependent energy input to the top of the Earth's atmosphere, at a standard distance of one Astronomical Unit from the Sun. Its units are W per m2 per nm. Also included is the value of total (spectrally integrated) solar irradiance in units W per m2. The dataset was created by Judith Lean (Space Science Division, Naval Research Laboratory), Odele Coddington and Peter Pilewskie (Laboratory for Atmospheric and Space Science, University of Colorado). The daily- and monthly-averaged SSI data range from 1882 to the present, and annual-averaged SSI data begin in 1610. The data file format is netCDF-4 following CF metadata conventions. The dataset is accompanied by algorithm documentation, data flow diagram and source code for the NOAA CDR Program.

The MESSENGER MLA calibrated and reduced observations consist of laser ranges and instrument data collected by the MLA instrument during fly-by and orbital operations of Mercury. Also included are observations of Earth and Venus for calibration purposes.

Abstract ======== This data set consists of the MESSENGER Mercury Laser Altimeter (MLA) Calibrated Data Record (CDR) and Reduced Data Record (RDR) products. The MLA is a solid-state pulsed laser that measures the distance between the spacecraft and the surface of Mercury. The CDR products contain the science and auxiliary data products calibrated to physical units. The RDR products contain the calibrated, geolocated range data as profile measurements of the planetary radius.

This data set provides a near-real-time Climate Data Record (CDR) of sea ice concentration from passive microwave data. The Near-real-time NOAA/NSIDC Climate Data Record of Passive Microwave Sea Ice Concentration (NRT CDR) data set is the near-real-time version of the final NOAA/NSIDC Climate Data Record of Passive Microwave Sea Ice Concentration (G02202). The NRT CDR is designed to fill the temporal gap between updates of the final CDR, occurring every three to six months, and to provide the most recent data.

This dataset contains information on chemicals that company's produce domestically or import into the United States during the principal reporting year. For the 2012 submission period, reporters provided 2011 manufacturing, processing, and use data and 2010 production volume data for their reportable chemical substances.

This data set provides a Climate Data Record (CDR) of sea ice concentration from passive microwave data. The CDR algorithm output is a rule-based combination of ice concentration estimates from two well-established algorithms: the NASA Team (NT) algorithm (Cavalieri et al. 1984) and NASA Bootstrap (BT) algorithm (Comiso 1986). The CDR is a consistent, daily and monthly time series of sea ice concentrations from 09 July 1987 through the most recent processing for both the north and south polar regions. In addition, three other sea ice concentration products are included with the CDR that extend the sea ice measurements back to 01 November 1978. However, these three products are not included in the official CDR because processing the older data in a way that follows the standards of a CDR is not currently possible. All data are on a 25 km x 25 km grid.

Note: A near-real-time version of this data set also exists to fill the gap between the time that this data set is updated through to the present. The data set is called the Near-Real-Time NOAA/NSIDC Climate Data Record of Passive Microwave Sea Ice Concentration (https://nsidc.org/data/g10016).

Version 2 of the dataset has been superseded by a newer version. Users should not use version 2 except in rare cases (e.g., when reproducing previous studies that used version 2).This NOAA Climate Data Record (CDR) of Aerosol Optical Thickness (AOT) is derived from data taken over global oceans from the PATMOS-x AVHRR level-2b channel 1 (0.63 micron) orbital clear-sky radiance. The retrieval is performed for selected spatial (8-km) and temporal (1 time per day) resolution in cloud free condition during daytime over global oceans. The AVHRR AOT CDR version 2 extends from 1981 to 2009 and includes both daily and monthly data in an equal angle grid (0.1x0.1 degree). Version 2 has improved cloud screening and data processing from version 1. Due to the relatively large uncertainties associated with surface reflectance over water glint area and land surface as well as limited AVHRR retrieval channels, the current algorithm only performs retrieval over non-glint water surface (specifically at the anti-solar side of the orbit and viewing angle is larger than 40 degree away from the specular ray).

This dataset contains the Global Precipitation Climatology Project (GPCP) Monthly Analysis Product, version 2.3, and is a part of the NOAA Climate Data Record (CDR) Program for satellites.

This dataset consists of monthly satellite-gauge and associated precipitation error estimates, and covers the period January 1979 to the present. The general approach is to combine the precipitation information available from each of several satellite and in situ sources into a final merged product, taking advantage of the strengths of each data type. Passive Microwave estimates are based on Special Sensor Microwave Imager/Special Sensor Microwave Imager Sounder (SSMI/SSMIS) data; infrared precipitation estimates are included using Geostationary Operational Environmental Satellite (GOES) data and Polar-orbiting Operational Environmental Satellite (POES) data, as well as other low earth orbit data and in situ observations. Data are provided on a 2.5 degree grid.

For more information, see the NOAA CDR support site.

The MESSENGER XRS CDR data consist of x-ray spectra and instrument data collected by the XRS instrument during cruise, fly-by and orbital operations at Mercury, along with observations of Venus, and observations taken of Cassiopeia-A for calibration.

This dataset contains gridded daily Normalized Difference Vegetation Index (NDVI) derived from the NOAA Climate Data Record (CDR) of Advanced Very High Resolution Radiometer (AVHRR) Surface Reflectance. The data record spans from 1981 to 10 days before the present using data from eight NOAA polar orbiting satellites: NOAA-7, -9, -11, -14, -16, -17, -18 and -19. The data are projected on a 0.05 degree x 0.05 degree global grid. This dataset is one of the Land Surface CDR Version 5 products produced by the NASA Goddard Space Flight Center (GSFC) and the University of Maryland (UMD). Improvements for Version 5 include using the improved surface reflectance data, correcting the data for known errors in time, latitude, and longitude variables, as well as improvements in the global and variable attribute definitions. The dataset is in the netCDF-4 file format following ACDD and CF Conventions. The dataset is accompanied by algorithm documentation, data flow diagram and source code for the NOAA CDR Program.

This NOAA Climate Data Record (CDR) is a record for the Northern Hemisphere (NH) Snow Cover Extent (SCE) spanning from October 4, 1966 to present, updated monthly after the 10th of each month. Data prior to June 1999 in the NH SCE CDR are based on satellite-derived maps of NH SCE produced weekly by trained NOAA meteorologists. In June 1999 weekly NOAA NH SCE maps ceased production, and were replaced by daily SCE output from the Interactive Multisensor Snow and Ice Mapping System (IMS). The weekly SCE maps are digitized to an 88x88 (cells) Cartesian grid laid over a NH polar stereographic projection. Each grid cell in the NH SCE CDR has a binary value, indicating snow covered or snow free. The NH SCE CDR has been used in international assessments of climate variability and change, and in investigations regarding the role of snow cover in the climate system. Mapping accuracy is such that this product is considered suitable for continental-scale climate studies. The data are updated monthly in netCDF file format with variables including SCE and National Meteorological Center (NMC) grid (88x88 cell) coordinates.