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 layer displays points of consumer uses 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).

This layer displays points of commercial uses 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).

Aggregated CDR data - sample

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)

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

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 total solar irradiance (TSI) as a function of time created with the Naval Research Laboratory model for spectral and total irradiance (version 2). Total solar irradiance is the total, spectrally integrated 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. 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 TSI data range from 1882 to the present, and annual-averaged TSI 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.

PERSIANN-CDR is a daily quasi-global precipitation product that spans the period from 1983-01-01 to present. The data is produced quarterly, with a typical lag of three months. The product is developed by the Center for Hydrometeorology and Remote Sensing at the University of California, Irvine (UC-IRVINE/CHRS) using Gridded Satellite (GridSat-B1) IR data that are derived from merging ISCCP B1 IR data, along with GPCP version 2.2.

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.

The Kabat Database determines the combining site of antibodies based on the available amino acid sequences. The precise delineation of complementarity determining regions (CDR) of both light and heavy chains provides the first example of how properly aligned sequences can be used to derive structural and functional information of biological macromolecules. The Kabat database now includes nucleotide sequences, sequences of T cell receptors for antigens (TCR), major histocompatibility complex (MHC) class I and II molecules, and other proteins of immunological interest. The Kabat Database searching and analysis tools package is an ASP.NET web-based portal containing lookup tools, sequence matching tools, alignment tools, length distribution tools, positional correlation tools and much more. The searching and analysis tools are custom made for the aligned data sets contained in both the SQL Server and ASCII text flat file formats. The searching and analysis tools may be run on a single PC workstation or in a distributed environment. The analysis tools are written in ASP.NET and C# and are available in Visual Studio .NET 2003/2005/2008 formats. The Kabat Database was initially started in 1970 to determine the combining site of antibodies based on the available amino acid sequences at that time. Bence Jones proteins, mostly from human, were aligned, using the now-known Kabat numbering system, and a quantitative measure, variability, was calculated for every position. Three peaks, at positions 24-34, 50-56 and 89-97, were identified and proposed to form the complementarity determining regions (CDR) of light chains. Subsequently, antibody heavy chain amino acid sequences were also aligned using a different numbering system, since the locations of their CDRs (31-35B, 50-65 and 95-102) are different from those of the light chains. CDRL1 starts right after the first invariant Cys 23 of light chains, while CDRH1 is eight amino acid residues away from the first invariant Cys 22 of heavy chains. During the past 30 years, the Kabat database has grown to include nucleotide sequences, sequences of T cell receptors for antigens (TCR), major histocompatibility complex (MHC) class I and II molecules and other proteins of immunological interest. It has been used extensively by immunologists to derive useful structural and functional information from the primary sequences of these proteins.

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 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 products produced by the NASA Goddard Space Flight Center (GSFC) and the University of Maryland (UMD). Improvements made for Version 4 include 1) additional data from NOAA satellites extending the time period, 2) improved geolocation accuracy from use of OLE instead of TLE, 3) center of the grid is used as the reference, and 4) data value of a grid cell is computed as an average of available good observations. 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 layer displays points of children's products uses 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).

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).

Abstract ======== This data set consists of the MESSENGER Mercury Laser Altimeter (MLA) 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 RDR products contain the calibrated, geolocated range data as profile measurements of the planetary radius.

This dataset version has been superseded by version 2. This data set provides a Climate Data Record (CDR) of passive microwave sea ice concentration based on the recommendations from the National Research Council (NRC) (2004). It is produced from gridded brightness temperatures from the Defense Meteorological Satellite Program (DMSP) series of Special Sensor Microwave Imager (SSM/I) passive microwave radiometers: F-8, F-11, and F-13. The NOAA/NSIDC CDR sea ice concentrations provide a consistent, daily time series of sea ice concentrations from 09 July 1987 through 31 December 2007. The NOAA/NSIDC CDR sea ice concentrations are an estimate of the fraction of ocean area covered by sea ice that is produced by combining concentration estimates created using two algorithms developed at the NASA Goddard Space Flight Center (GSFC): the NASA Team algorithm (Cavalieri et al., 1984) and the Bootstrap algorithm (Comiso, 1986). The individual algorithms are processed and combined at NSIDC using brightness temperature data from Remote Sensing Systems, Inc. (RSS). The data are gridded on the NSIDC polar stereographic grid with 25 x 25 km grid cells and are available in netCDF file format. Each daily file includes four different sea ice concentration variables: a variable with the primary CDR sea ice concentrations created by NSIDC and three variables with sea ice concentrations created by Goddard. The three Goddard-processed sea ice concentrations are Goddard NASA Team algorithm sea ice concentrations, Goddard Bootstrap sea ice concentrations, and a merged version of the Goddard NASA Team/Bootstrap algorithm sea ice concentrations. Variables containing standard deviation, quality flags, and projection information are also included in the netCDF file. The three Goddard-produced sea ice concentrations are included in the data files for a number of reasons. The merged Goddard NASA Team/Bootstrap sea ice concentrations are an ancillary data set that is analogous to the NSIDC CDR data but that adds late 1978 through mid 1986 data to the record. A different instrument, the Scanning Multichannel Microwave Radiometer (SMMR), was the source for the brightness temperatures from this period. Sea ice concentrations from the extended period are not part of the primary NSIDC-produced CDR record because complete documentation of the SMMR brightness temperature processing method is not available. The separate Goddard NASA Team and Bootstrap sea ice concentrations are provided for reference. The data are available via FTP.

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.

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.

Atmospheric Climate Data Records are measurements of several global variables to help characterize the atmosphere at or just above the land and ocean surface as well as other upper air composition variables.

NOAA Climate Data Record (CDR) of Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN-CDR), Version 1 Revision 1. Daily near global precipitation estimates at 0.25 deg resolution over 30-year record. [NOTE: v01r01 replaces v01r00] precipitation Dimensioned By time, longitude, latitude. _CoordSysBuilder=ucar.nc2.dataset.conv.CF1Convention cdm_data_type=Grid cdr_program=NOAA Climate Data Record Program cdr_variable=precipitation comment=Daily PERSIANN-CDR precipitation estimates for long-term data record. [NOTE: v01r01 replaces v01r00] contributor_name=Soroosh Sorooshian, Kuolin Hsu, Hamed Ashouri, Dan Braithwaite contributor_role=PrincipalInvestigator, Professor, Author, Author Conventions=CF-1.4 datetime=2024-09-29 Easternmost_Easting=359.875 geospatial_lat_max=59.875 geospatial_lat_min=-59.875 geospatial_lat_resolution=0.25 geospatial_lat_units=degrees_north geospatial_lon_max=359.875 geospatial_lon_min=0.125 geospatial_lon_resolution=0.25 geospatial_lon_units=degrees_east history=FMRC Best Dataset id=data/product/persiann_cdr/PERSIANN-CDR_v01r01_20240929_c20250409.nc infoUrl=https://www.ncei.noaa.gov/thredds/catalog/ncFC/cdr/persiann-fc/catalog.html?dataset=ncFC/cdr/persiann-fc/PERSIANN:_aggregation_best.ncd institution=UC-IRVINE/CHRS, Center for Hydrometeorology and Remote Sensing, University of California, Irvine keywords_vocabulary=GCMD Keywords, Version 8.0.0.0.0 location=Proto fmrc:PERSIANN:_aggregation Metadata_Conventions=CF-1.6,Unidata Dataset Discovery v1.0, NOAA CDR v1.0, GDS v2.0 metadata_link=gov.noaa.ncdc:C00854 naming_authority=gov.noaa.ncdc Northernmost_Northing=59.875 project=Satellite Data Support for Hydrologic and Water Resources Planning and Management. Sponsor: NOAA source=GRIDSAT-B1.2024.09.29.00.v02r01.nc,GRIDSAT-B1.2024.09.29.03.v02r01.nc,GRIDSAT-B1.2024.09.29.06.v02r01.nc,GRIDSAT-B1.2024.09.29.09.v02r01.nc,GRIDSAT-B1.2024.09.29.12.v02r01.nc,GRIDSAT-B1.2024.09.29.15.v02r01.nc,GRIDSAT-B1.2024.09.29.18.v02r01.nc,GRIDSAT-B1.2024.09.29.21.v02r01.nc,gpcpv23_m2409.bin sourceUrl=https://www.ncei.noaa.gov/thredds/dodsC/ncFC/cdr/persiann-fc/PERSIANN:_aggregation_best.ncd Southernmost_Northing=-59.875 spatial_resolution=0.25 degrees standard_name_vocabulary=.nc time_coverage_end=2024-09-30T00:00:00Z time_coverage_start=1983-01-01T00:00:00Z Westernmost_Easting=0.125

This is the replication data for Figure S2.2, as well as for Table S3.1 and S3.2, within the Supplementary Materials of A. Deprez et al., Sustainability limits needed for CO2 removal, Science, Policy Forum (2024) (2024-01-31) (science.org/doi/10.1126/science.adj6171)