This composition appears in the Cl-O region of phase space. It's relative stability is shown in the Cl-O phase diagram (left). The relative stability of all other phases at this composition (and the combination of other stable phases, if no compound at this composition is stable) is shown in the relative stability plot (right)

ClO is Tetraauricupride structured and crystallizes in the cubic Pm-3m space group. The structure is zero-dimensional and consists of one hydrochloric acid molecule and one water molecule.

ClO is alpha carbon monoxide-like structured and crystallizes in the tetragonal I4_1/amd space group. The structure is zero-dimensional and consists of eight chlorine molecules and eight hydrogen peroxide molecules.

Code for "Are CLO Collateral and Tranche Ratings Disconnected?"

Data obtained from computational DFT calculations on Cubic ClO is provided. Available data include crystal structure, bandgap energy, stability, density of states, and calculation input/output files.

The Commissioners of the Land Office maintains a Geographic Information System (GIS) web map that displays an inventory of the lands managed by the CLO. It may be used to see what lands are available for auction or other information related to the land or mineral rights.The polygons shown on the map are generally limited to the closest 40 acres and are not usually an exact representation of the land tract or lease. It is by no means survey grade.https://clo.ok.gov/resources/maps/

This composition appears in the Cl-O region of phase space. It's relative stability is shown in the Cl-O phase diagram (left). The relative stability of all other phases at this composition (and the combination of other stable phases, if no compound at this composition is stable) is shown in the relative stability plot (right)

Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations

ML3DZCLO is the EOS Aura Microwave Limb Sounder (MLS) daily binned on zonal and assorted vertical grids product for chlorine monoxide (ClO) derived from radiances measured primarily by the 640 GHz radiometer. The data version is 5.1. Data coverage is from August 2, 2005 to current. Spatial coverage is near-global (-82 to +82 degrees latitude) at 4 degree latitude zonal increments. The recommended useful vertical range is between 147 and 1.0 hPa, and the vertical resolution varies between 3 and 4.5 km. Users of the ML3DZCLO data product should read chapter 4 and section 3.6 of the EOS MLS Level 2 Version 5 Quality Document for more information.The data files contain one year of data and are archived in the netCDF4 format, which is also compatible with HDF5 readers and tools. Each file contains four group objects: lat vs pressure zonal mean, lat vs "potential temperature" zonal mean, "equivalent latitude" vs "potential temperature" zonal mean, and vortex average vs "potential temperature". These are further subdivided into groups with all valid, ascending orbit, descending orbit, daytime (SZA 110) profiles. Each group has a set of data (average, min, max, std dev, rms) and geolocation fields, grid attributes, and metadata.

Graph and download economic data for Rest of the World; Bonds: Collateralized Loan Obligations; Liability, Market Value Levels (BOGZ1LM263163063Q) from Q4 2014 to Q1 2025 about obligations, collateral, market value, liabilities, bonds, and loans.

The Collateralized Loan Obligation (CLO) market has emerged as a pivotal segment within the broader financial landscape, effectively reshaping the way institutions manage debt and diversify risk. CLOs are structured financial products that pool together a variety of loans, primarily leveraged loans to businesses, an

Ca(ClO)2 crystallizes in the orthorhombic Ccce space group. The structure is one-dimensional and consists of four Ca(ClO)2 ribbons oriented in the (1, 0, 0) direction. Ca is bonded in a 4-coordinate geometry to four equivalent O atoms. There are two shorter (2.34 Å) and two longer (2.38 Å) Ca–O bond lengths. O is bonded in a 3-coordinate geometry to two equivalent Ca and one Cl atom. The O–Cl bond length is 1.71 Å. Cl is bonded in a single-bond geometry to one O atom.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

ML2CLO is the EOS Aura Microwave Limb Sounder (MLS) standard product for chlorine monoxide derived from radiances measured primarily by the 640 GHz radiometer. The data version is 5.0. Data coverage is from August 8, 2004 to current. Spatial coverage is near-global (-82 degrees to +82 degrees latitude), with each profile spaced 1.5 degrees or ~165 km along the orbit track (roughly 15 orbits per day). The recommended useful vertical range is between 147 and 1.0 hPa, and the vertical resolution varies between 3 and 4.5 km. Users of the ML2CLO data product should read section 3.6 of the EOS MLS Level 2 Version 5 Quality Document for more information.The data are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5), which is based on the version 5 Hierarchical Data Format, or HDF-5. Each file contains two swath objects (profile and column data), each with a set of data and geolocation fields, swath attributes, and metadata.

ML2CLO is the EOS Aura Microwave Limb Sounder (MLS) standard product for chlorine monoxide derived from radiances measured primarily by the 640 GHz radiometer. The data version is 5.0. Data coverage is from August 8, 2004 to current. Spatial coverage is near-global (-82 degrees to +82 degrees latitude), with each profile spaced 1.5 degrees or ~165 km along the orbit track (roughly 15 orbits per day). The recommended useful vertical range is between 147 and 1.0 hPa, and the vertical resolution varies between 3 and 4.5 km. Users of the ML2CLO data product should read section 3.6 of the EOS MLS Level 2 Version 5 Quality Document for more information.The data are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5), which is based on the version 5 Hierarchical Data Format, or HDF-5. Each file contains two swath objects (profile and column data), each with a set of data and geolocation fields, swath attributes, and metadata.

Indonesia Import: Volume: HS: 29339100: Alprazolam(INN), camazepam,chlordiazepo xide(INN), clo data was reported at 0.000 kg mn in Jun 2019. This records a decrease from the previous number of 0.000 kg mn for May 2019. Indonesia Import: Volume: HS: 29339100: Alprazolam(INN), camazepam,chlordiazepo xide(INN), clo data is updated monthly, averaging 0.000 kg mn from Jan 2017 (Median) to Jun 2019, with 28 observations. The data reached an all-time high of 0.001 kg mn in Jan 2017 and a record low of 0.000 kg mn in Apr 2018. Indonesia Import: Volume: HS: 29339100: Alprazolam(INN), camazepam,chlordiazepo xide(INN), clo data remains active status in CEIC and is reported by Central Bureau of Statistics. The data is categorized under Indonesia Premium Database’s Foreign Trade – Table ID.JAC006: Foreign Trade: Indonesia Custom Fare 2012: by HS: 8 Digits: Production of Chemical or Allied Industries.

ML3DBCLO is the EOS Aura Microwave Limb Sounder (MLS) daily binned on various vertical grids product for chlorine monoxide (ClO) derived from radiances measured primarily by the 640 GHz radiometer. The data version is 5.1. Data coverage is from August 2, 2005 to current. Spatial coverage is near-global (-82 to +82 degrees latitude) at a spatial resolution of 4 degrees latitude by 5 degrees longitude. The recommended useful vertical range is between 147 and 1.0 hPa, and the vertical resolution varies between 3 and 4.5 km. Users of the ML3DBCLO data product should read chapter 4 and section 3.6 of the EOS MLS Level 2 Version 5 Quality Document for more information.The data files are archived in the netCDF4 format, which is also compatible with HDF5 readers and tools. Each file contains six group objects: lat-lon map vs pressure, lat vs pressure zonal mean, lat-lon map vs "potential temperature", lat vs "potential temperature" zonal mean, "equivalent latitude" vs "potential temperature" zonal mean, and vortex average vs "potential temperature". These are further subdivided into groups with all valid, ascending orbit, descending orbit, daytime (SZA 110) profiles. Each group has a set of data (average, min, max, std dev, rms) and geolocation fields, grid attributes, and metadata.

SOLVE2_Satellite_Data is the supplementary satellite data for the SAGE III Ozone Loss and Validation Experiment II (SOLVE II). Data were collected by the Polar Ozone and Aerosol Measurement III (POAM III) satellite. Data collection for this product is complete.The SOLVE campaign was a NASA multi-program effort of the Upper Atmosphere Research Program (UARP), Atmospheric Effects of Aviation Project (AEAP), Atmospheric Chemistry Modeling and Analysis Program (ACMAP) and Earth Observing System (EOS) of NASA’s Earth Science Enterprise (ESE). SOLVE’s primary objective was for calibrating and validating the Stratospheric Aerosol and Gas Experiment (SAGE) III satellite measurements, while examining the processes that controlled ozone levels at a mid- to high-latitude range. The major goal of SAGE III was to quantitatively assess ozone loss at high latitudes. SOLVE was a two-phase experiment, the first phase, SOLVE, occurred during the fall of 1999 through the spring of 2000. The second phase, SOLVE II, occurred during the winter of 2003.SOLVE took place in the Arctic high-latitude region during the winter. The polar ozone depletion processes cause by human-produced chlorine and bromine are most active in mid-to-late winter and early spring in the high Arctic. In order to conduct this validation experiment, NASA deployed the NASA ER-2 aircraft and NASA DC-8 aircraft. The ER-2 measured a variety of atmospheric data, including ozone (O3), H2O, CO2, ClONO2, HCl, ClO/BrO, and Cl2O2. The DC-8 aircraft measured ozone, ClO/BrO, and aerosol, among other atmospheric data. SOLVE also utilized balloon platforms, ground-based instruments, and collaborations with the German Aerospace Center’s (DLR) FALCON aircraft equipped with the OLEX Lidar to achieve the mission objectives. Overall, the campaign had 28 flights, with SOLVE featuring 17 total flights among the different aircrafts and SOLVE II featuring 11 flights.

Data obtained from computational DFT calculations on Triclinic ClO is provided. Available data include crystal structure, bandgap energy, stability, density of states, and calculation input/output files.

SOLVE1_Ground_Data is the ground site data collected during the SAGE III Ozone Loss and Validation Experiment (SOLVE). Data were collected by instruments such as Differential Absorption Lidar (DIAL) and the JPL MkIV Balloon Interferometer (MkIV). Data collection for this product is complete. The SOLVE campaign was a NASA multi-program effort of the Upper Atmosphere Research Program (UARP), Atmospheric Effects of Aviation Project (AEAP), Atmospheric Chemistry Modeling and Analysis Program (ACMAP) and Earth Observing System (EOS) of NASA’s Earth Science Enterprise (ESE). SOLVE’s primary objective was for calibrating and validating the Stratospheric Aerosol and Gas Experiment (SAGE) III satellite measurements, while examining the processes that controlled ozone levels at a mid- to high-latitude range. The major goal of SAGE III was to quantitatively assess ozone loss at high latitudes. SOLVE was a two-phase experiment, the first phase, SOLVE, occurred during the fall of 1999 through the spring of 2000. The second phase, SOLVE II, occurred during the winter of 2003.SOLVE took place in the Arctic high-latitude region during the winter. The polar ozone depletion processes cause by human-produced chlorine and bromine are most active in mid-to-late winter and early spring in the high Arctic. In order to conduct this validation experiment, NASA deployed the NASA ER-2 aircraft and NASA DC-8 aircraft. The ER-2 measured a variety of atmospheric data, including ozone (O3), H2O, CO2, ClONO2, HCl, ClO/BrO, and Cl2O2. The DC-8 aircraft measured ozone, ClO/BrO, and aerosol, among other atmospheric data. SOLVE also utilized balloon platforms, ground-based instruments, and collaborations with the German Aerospace Center’s (DLR) FALCON aircraft equipped with the OLEX Lidar to achieve the mission objectives. Overall, the campaign had 28 flights, with SOLVE featuring 17 total flights among the different aircrafts and SOLVE II featuring 11 flights.