AndreaBozzo/ceres-open-data-index huggingface dataset:
Radar - 449MHz - North Bend, OR (OTH) - Reviewed Data

**Overview**

**Winds.**
A radar wind profiler measures the Doppler shift of electromagnetic energy scattered back from atmospheric turbulence and hydrometeors along 3-5 vertical and off-vertical point beam directions. Back-scattered signal strength and radial-component velocities are remotely sensed along all beam directions and are combined to derive the horizontal wind field over the radar. These data typically are sampled and averaged hourly and usually have 6-m and/or 100-m vertical resolutions up to 4 km for the 915 MHz and 8 km for the 449 MHz systems. 

**Temperature.**
To measure atmospheric temperature, a radio acoustic sounding system (RASS) is used in conjunction with the wind profile. These data typically are sampled and averaged for five minutes each hour and have a 60-m vertical resolution up to 1.5 km for the 915 MHz and 60 m up to 3.5 km for the 449 MHz. 

**Moments and Spectra.**
The raw spectra and moments data are available for all dwells along each beam and are stored in daily files. For each day, there are files labeled "header" and "data." These files are generated by the radar data acquisition system (LAP-XM) and are encoded in a proprietary binary format. Values of spectral density at each Doppler velocity (FFT point), as well as the radial velocity, signal-to-noise ratio, and spectra width for the selected signal peak are included in these files. Attached zip files, *449mhz-spectra-data-extraction.zip* and *449mhz-moment-data-extraction.zip*, include executables to unpack the spectra, (GetSpectra32.exe) and moments (GetMomSp32.exe), respectively. Documentation on usage and output file formats also are included in the zip files.

**Data Details**

Note, the b0 data is identical to 00 data but a netcdf extraction of the b0 data was also created for the duration of the WFIP2 campaign.

**Data Quality**

Various quality control (QC) algorithms developed over the years process data in real time on the radar software layer. These algorithms, which run in real time, act on time-series, spectra, moment, and consensus data layers that are persisted in different forms.

Tags: 449mhz, a2e, atmosphere-to-electrons, b0, coastal-wind-profiler, cwp, eere, north-bend-or-oth, radar, reviewed-data, weto, wind, z01
Organization: Department of Energy
Radar - 449MHz - North Bend, OR (OTH) - Raw Data

**Overview**

**Winds.**
A radar wind profiler measures the Doppler shift of electromagnetic energy scattered back from atmospheric turbulence and hydrometeors along 3-5 vertical and off-vertical point beam directions. Back-scattered signal strength and radial-component velocities are remotely sensed along all beam directions and are combined to derive the horizontal wind field over the radar. These data typically are sampled and averaged hourly and usually have 6-m and/or 100-m vertical resolutions up to 4 km for the 915 MHz and 8 km for the 449 MHz systems. 

**Temperature.**
To measure atmospheric temperature, a radio acoustic sounding system (RASS) is used in conjunction with the wind profile. These data typically are sampled and averaged for five minutes each hour and have a 60-m vertical resolution up to 1.5 km for the 915 MHz and 60 m up to 3.5 km for the 449 MHz. 

**Moments and Spectra.**
The raw spectra and moments data are available for all dwells along each beam and are stored in daily files. For each day, there are files labeled "header" and "data." These files are generated by the radar data acquisition system (LAP-XM) and are encoded in a proprietary binary format. Values of spectral density at each Doppler velocity (FFT point), as well as the radial velocity, signal-to-noise ratio, and spectra width for the selected signal peak are included in these files. Attached zip files, *449mhz-spectra-data-extraction.zip* and *449mhz-moment-data-extraction.zip*, include executables to unpack the spectra, (GetSpectra32.exe) and moments (GetMomSp32.exe), respectively. Documentation on usage and output file formats also are included in the zip files.

**Data Details**

Note, the b0 data is identical to 00 data but a netcdf extraction of the b0 data was also created for the duration of the WFIP2 campaign.

**Data Quality**

Various quality control (QC) algorithms developed over the years process data in real time on the radar software layer. These algorithms, which run in real time, act on time-series, spectra, moment, and consensus data layers that are persisted in different forms.

Tags: 00, 449mhz, a2e, atmosphere-to-electrons, coastal-wind-profiler, cwp, eere, north-bend-or-oth, radar, raw-data, weto, wind, z01
Organization: Department of Energy
Radar - 449MHz - Forks, WA (FKS) - Reviewed Data

**Overview**

**Winds.**
A radar wind profiler measures the Doppler shift of electromagnetic energy scattered back from atmospheric turbulence and hydrometeors along 3-5 vertical and off-vertical point beam directions. Back-scattered signal strength and radial-component velocities are remotely sensed along all beam directions and are combined to derive the horizontal wind field over the radar. These data typically are sampled and averaged hourly and usually have 6-m and/or 100-m vertical resolutions up to 4 km for the 915 MHz and 8 km for the 449 MHz systems. 

**Temperature.**
To measure atmospheric temperature, a radio acoustic sounding system (RASS) is used in conjunction with the wind profile. These data typically are sampled and averaged for five minutes each hour and have a 60-m vertical resolution up to 1.5 km for the 915 MHz and 60 m up to 3.5 km for the 449 MHz. 

**Moments and Spectra.**
The raw spectra and moments data are available for all dwells along each beam and are stored in daily files. For each day, there are files labeled "header" and "data." These files are generated by the radar data acquisition system (LAP-XM) and are encoded in a proprietary binary format. Values of spectral density at each Doppler velocity (FFT point), as well as the radial velocity, signal-to-noise ratio, and spectra width for the selected signal peak are included in these files. Attached zip files, *449mhz-spectra-data-extraction.zip* and *449mhz-moment-data-extraction.zip*, include executables to unpack the spectra, (GetSpectra32.exe) and moments (GetMomSp32.exe), respectively. Documentation on usage and output file formats also are included in the zip files.

**Data Details**

Note, the b0 data is identical to 00 data but a netcdf extraction of the b0 data was also created for the duration of the WFIP2 campaign.

**Data Quality**

Various quality control (QC) algorithms developed over the years process data in real time on the radar software layer. These algorithms, which run in real time, act on time-series, spectra, moment, and consensus data layers that are persisted in different forms.

Tags: 449mhz, a2e, atmosphere-to-electrons, b0, coastal-wind-profiler, cwp, eere, forks-wa-fks, radar, reviewed-data, weto, wind, z03
Organization: Department of Energy
Radar - 449MHz - Forks, WA (FKS) - Raw Data

**Overview**

**Winds.**
A radar wind profiler measures the Doppler shift of electromagnetic energy scattered back from atmospheric turbulence and hydrometeors along 3-5 vertical and off-vertical point beam directions. Back-scattered signal strength and radial-component velocities are remotely sensed along all beam directions and are combined to derive the horizontal wind field over the radar. These data typically are sampled and averaged hourly and usually have 6-m and/or 100-m vertical resolutions up to 4 km for the 915 MHz and 8 km for the 449 MHz systems. 

**Temperature.**
To measure atmospheric temperature, a radio acoustic sounding system (RASS) is used in conjunction with the wind profile. These data typically are sampled and averaged for five minutes each hour and have a 60-m vertical resolution up to 1.5 km for the 915 MHz and 60 m up to 3.5 km for the 449 MHz. 

**Moments and Spectra.**
The raw spectra and moments data are available for all dwells along each beam and are stored in daily files. For each day, there are files labeled "header" and "data." These files are generated by the radar data acquisition system (LAP-XM) and are encoded in a proprietary binary format. Values of spectral density at each Doppler velocity (FFT point), as well as the radial velocity, signal-to-noise ratio, and spectra width for the selected signal peak are included in these files. Attached zip files, *449mhz-spectra-data-extraction.zip* and *449mhz-moment-data-extraction.zip*, include executables to unpack the spectra, (GetSpectra32.exe) and moments (GetMomSp32.exe), respectively. Documentation on usage and output file formats also are included in the zip files.

**Data Details**

Note, the b0 data is identical to 00 data but a netcdf extraction of the b0 data was also created for the duration of the WFIP2 campaign.

**Data Quality**

Various quality control (QC) algorithms developed over the years process data in real time on the radar software layer. These algorithms, which run in real time, act on time-series, spectra, moment, and consensus data layers that are persisted in different forms.

Tags: 00, 449mhz, a2e, atmosphere-to-electrons, coastal-wind-profiler, cwp, eere, forks-wa-fks, radar, raw-data, weto, wind, z03
Organization: Department of Energy
Radar - 449MHz - Astoria, OR (AST) - Reviewed Data

**Overview**

**Winds.**
A radar wind profiler measures the Doppler shift of electromagnetic energy scattered back from atmospheric turbulence and hydrometeors along 3-5 vertical and off-vertical point beam directions. Back-scattered signal strength and radial-component velocities are remotely sensed along all beam directions and are combined to derive the horizontal wind field over the radar. These data typically are sampled and averaged hourly and usually have 6-m and/or 100-m vertical resolutions up to 4 km for the 915 MHz and 8 km for the 449 MHz systems. 

**Temperature.**
To measure atmospheric temperature, a radio acoustic sounding system (RASS) is used in conjunction with the wind profile. These data typically are sampled and averaged for five minutes each hour and have a 60-m vertical resolution up to 1.5 km for the 915 MHz and 60 m up to 3.5 km for the 449 MHz. 

**Moments and Spectra.**
The raw spectra and moments data are available for all dwells along each beam and are stored in daily files. For each day, there are files labeled "header" and "data." These files are generated by the radar data acquisition system (LAP-XM) and are encoded in a proprietary binary format. Values of spectral density at each Doppler velocity (FFT point), as well as the radial velocity, signal-to-noise ratio, and spectra width for the selected signal peak are included in these files. Attached zip files, *449mhz-spectra-data-extraction.zip* and *449mhz-moment-data-extraction.zip*, include executables to unpack the spectra, (GetSpectra32.exe) and moments (GetMomSp32.exe), respectively. Documentation on usage and output file formats also are included in the zip files.

**Data Details**

Note, the b0 data is identical to 00 data but a netcdf extraction of the b0 data was also created for the duration of the WFIP2 campaign.

**Data Quality**

Various quality control (QC) algorithms developed over the years process data in real time on the radar software layer. These algorithms, which run in real time, act on time-series, spectra, moment, and consensus data layers that are persisted in different forms.

Tags: 449mhz, a2e, astoria-or-ast, atmosphere-to-electrons, b0, coastal-wind-profiler, cwp, eere, radar, reviewed-data, weto, wind, z02
Organization: Department of Energy
Radar - 449MHz - Astoria, OR (AST) - Raw Data

**Overview**

**Winds.**
A radar wind profiler measures the Doppler shift of electromagnetic energy scattered back from atmospheric turbulence and hydrometeors along 3-5 vertical and off-vertical point beam directions. Back-scattered signal strength and radial-component velocities are remotely sensed along all beam directions and are combined to derive the horizontal wind field over the radar. These data typically are sampled and averaged hourly and usually have 6-m and/or 100-m vertical resolutions up to 4 km for the 915 MHz and 8 km for the 449 MHz systems. 

**Temperature.**
To measure atmospheric temperature, a radio acoustic sounding system (RASS) is used in conjunction with the wind profile. These data typically are sampled and averaged for five minutes each hour and have a 60-m vertical resolution up to 1.5 km for the 915 MHz and 60 m up to 3.5 km for the 449 MHz. 

**Moments and Spectra.**
The raw spectra and moments data are available for all dwells along each beam and are stored in daily files. For each day, there are files labeled "header" and "data." These files are generated by the radar data acquisition system (LAP-XM) and are encoded in a proprietary binary format. Values of spectral density at each Doppler velocity (FFT point), as well as the radial velocity, signal-to-noise ratio, and spectra width for the selected signal peak are included in these files. Attached zip files, *449mhz-spectra-data-extraction.zip* and *449mhz-moment-data-extraction.zip*, include executables to unpack the spectra, (GetSpectra32.exe) and moments (GetMomSp32.exe), respectively. Documentation on usage and output file formats also are included in the zip files.

**Data Details**

Note, the b0 data is identical to 00 data but a netcdf extraction of the b0 data was also created for the duration of the WFIP2 campaign.

**Data Quality**

Various quality control (QC) algorithms developed over the years process data in real time on the radar software layer. These algorithms, which run in real time, act on time-series, spectra, moment, and consensus data layers that are persisted in different forms.

Tags: 00, 449mhz, a2e, astoria-or-ast, atmosphere-to-electrons, coastal-wind-profiler, cwp, eere, radar, raw-data, weto, wind, z02
Organization: Department of Energy
Lidar - Massachusetts - Leosphere Windcube 866 (130) - Raw Data

**Overview**

This is the data collected during the validation period.  The buoy is scheduled to be deployed near Martha's Vinyard in mid-January 2020.

The Leosphere Windcube 866 lidar systems output 5 different compressed data files.  Compression is explained below.

**Data Details**

The Windcube data is compressed via 7-zip:

WLS866-24_2020_01_15__00_00_00.gyro.7z  
WLS866-24_2020_01_15__00_00_00.rtd.7z  
WLS866-24_2020_01_15__00_00_00.sta.7z  
WLS866-24_2020_01_15__00_00_00.stdrtd.7z  
WLS866-24_2020_01_15__00_00_00.stdsta.7z

"sta" files are 10 minute averaged data.  
"rtd" files are ~1 second data.  
"gyro" files are buoy movement data.  

7z is the new archive format, providing high compression ratio.

The main features of 7z format:  
Open architecture  
High compression ratio  
Strong AES-256 encryption  
Ability of using any compression, conversion or encryption method  
Supporting files with sizes up to 16000000000 GB  
Unicode file names  
Solid compressing  
Archive headers compressing  
7z has open architecture, so it can support any new compression methods.

https://www.7-zip.org/7z.html

Tags: 00, a2e, atmosphere-to-electrons, buoy, eere, leosphere-windcube-866-130, lidar, massachusetts, offshore-wind-energy-buoy-lidar-project, raw-data, weto, wind, z04
Organization: Department of Energy
Lidar - Massachusetts - Leosphere Windcube 866 (120) - Raw Data

**Overview**

This is the data collected during the validation period.  The buoy is scheduled to be deployed near Martha's Vinyard in mid-January 2020.

The Leosphere Windcube 866 lidar systems output 5 different compressed data files.  Compression is explained below.

**Data Details**

The Windcube data is compressed via 7-zip:

WLS866-25_2020_01_15__00_00_00.gyro.7z  
WLS866-25_2020_01_15__00_00_00.rtd.7z  
WLS866-25_2020_01_15__00_00_00.sta.7z  
WLS866-25_2020_01_15__00_00_00.stdrtd.7z  
WLS866-25_2020_01_15__00_00_00.stdsta.7z  

"sta" files are 10 minute averaged data.  
"rtd" files are ~1 second data.  
"gyro" files are buoy movement data.  

7z is the new archive format, providing high compression ratio.

The main features of 7z format:  
Open architecture  
High compression ratio  
Strong AES-256 encryption  
Ability of using any compression, conversion or encryption method  
Supporting files with sizes up to 16000000000 GB  
Unicode file names  
Solid compressing  
Archive headers compressing

7z has open architecture, so it can support any new compression methods.

https://www.7-zip.org/7z.html

Tags: 00, a2e, atmosphere-to-electrons, buoy, eere, leosphere-windcube-866-120, lidar, massachusetts, offshore-wind-energy-buoy-lidar-project, raw-data, weto, wind, z03
Organization: Department of Energy
California - Auxiliary Datasets for Buoy (130), Morro Bay / Derived Data

**Overview**

This dataset compiles results from different model-based hindcasts and instruments that measure environmental variables at the location of the associated lidar buoys. This dataset complements the lidar buoy measurements by providing longer time histories of selected environmental parameters. The data were extracted from the closest grid point to the average lidar buoy position. The data were obtained from the public domain and references to the originators/owners are provided under each instrument.

Tags: a2e, atmosphere-to-electrons, aux, auxiliary-datasets-for-buoy-130-morro-bay-derived-data, buoy, c0, california, eere, offshore-wind-energy-buoy-lidar-project, weto, wind, z06
Organization: Department of Energy
California - Auxiliary Datasets for Buoy (120), Humboldt / Derived Data

**Overview**

This dataset compiles results from different model-based hindcasts and instruments that measure environmental variables at the location of the associated lidar buoys. This dataset complements the lidar buoy measurements by providing longer time histories of selected environmental parameters. The data were extracted from the closest grid point to the average lidar buoy position. The data were obtained from the public domain and references to the originators/owners are provided under each instrument.

Tags: a2e, atmosphere-to-electrons, aux, auxiliary-datasets-for-buoy-120-humboldt-derived-data, buoy, c0, california, eere, offshore-wind-energy-buoy-lidar-project, weto, wind, z05
Organization: Department of Energy
Wind Turbine - NREL - GE 1.5MW SLE wind turbine - Reviewed Data

**Overview**

This dataset is intended to be a public resource for anyone conducting wind turbine noise research. The data in this set contain noise spectra and equivalent sound pressure levels at 11 measurement stations. The dataset also contains wind turbine operational data and meteorological data from a met mast directly upstream of the wind turbine.

**Data Quality**

Data were filtered to include only observations when wind was blowing from the prevailing wind direction of 285° +/- 15°.

Tags: a2e, aawpc, aeroacoustic-assessment-of-wind-plant-controls, atmosphere-to-electrons, b0, eere, ge-1-5mw-sle-wind-turbine, nrel, reviewed-data, turbine, weto, wind, wind-turbine, z01
Organization: Department of Energy
Data Sets for  Evaluation of Building Fault Detection and Diagnostics Algorithms

This documentation and dataset can be used to test the performance of automated fault detection and diagnostics algorithms for buildings. The dataset was created by LBNL, PNNL, NREL, ORNL and ASHRAE RP-1312 (Drexel University). It includes data for air-handling units and rooftop units simulated with PNNL's large office building model. 

Tags: ahu, air-conditioning, air-handling-unit, building, building-energy, building-performance, commercial-buildings, cooling, energy, energyplus, fault-detection-and-diagnostics, heating, hvac, model, raw-data, rooftop-units, simulation, vav
Organization: Department of Energy
Multifamily Programmable Thermostat Data

This data set, compiled by the Fraunhofer Center for Sustainable Energy Systems, includes long-term 10-minute temperature and relative humidity data, and HVAC system state data for 79 apartments in a low-income housing complex in Revere, MA. The monitoring period spans two winters and one summer between 2011 and 2013. Data were collected as part of a project sponsored by the U.S. Department of Energy Building America program to evaluate the impact of programmable thermostat usability on occupant behavior. 

This project was done in conjunction with NREL as part of the US Department of Energy's Building America program.

Tags: building, building-america, building-efficiency, building-energy, building-energy-efficiency, building-floors, building-layout, data, demand, humidity, hvac, raw-data, relative-humidity, temperature, temperature-data, thermostat, thermostat-data, thermostat-type
Organization: Department of Energy
NREL RSF Weather Data 2011

Modern buildings are complex energy systems that must be controlled for energy efficiency. The Research Support Facility (RSF) at the National Renewable Energy Laboratory (NREL) has hundreds of controllers -- computers that communicate with the building's various control systems -- to control the building based on tens of thousands of variables and sensor points. These control strategies were designed for the RSF's systems to efficiently support research activities. Many events that affect energy use cannot be reliably predicted, but certain decisions (such as control strategies) must be made ahead of time. NREL researchers modeled the RSF systems to predict how they might perform. They then monitor these systems to understand how they are actually performing and reacting to the dynamic conditions of weather, occupancy, and maintenance.

This submission includes the Weather data form the RSF systems energy model. The weather data was used to contextualize and compare energy use data like heating and cooling. The weather data was also used by the RSF Energy Model to model the energy use of the RSF.

Energy Model data and Measured Energy data related to the RSF Systems Model can be found in the "Related Datasets" section of this submission.

Tags: 2011, building-energy, building-systems, buildings, colorado, consumption, control-strategy, data, energy-analysis, energy-conservation, energy-modeling, golden, model, nrel, research-support-facility, rsf, usage, utilization, weather
Organization: Department of Energy
NREL RSF Measured Data 2011

Modern buildings are complex energy systems that must be controlled for energy efficiency. The Research Support Facility (RSF) at the National Renewable Energy Laboratory (NREL) has hundreds of controllers -- computers that communicate with the building's various control systems -- to control the building based on tens of thousands of variables and sensor points. These control strategies were designed for the RSF's systems to efficiently support research activities. Many events that affect energy use cannot be reliably predicted, but certain decisions (such as control strategies) must be made ahead of time. NREL researchers modeled the RSF systems to predict how they might perform. They then monitor these systems to understand how they are actually performing and reacting to the dynamic conditions of weather, occupancy, and maintenance.

This submission includes the Measured Energy Data from the RSF Systems Model. The data includes a csv with measured data from NREL's Research and Support Facility (RSF) for 2011.  The dataset contains hourly data for:  Total Cooling (kW)- Total Heating (kW)- Total Mechanical (kW)- Total Lighting (kW)- Total Plug Loads (kW)- Total Data Center (kW)- Total Building (kW)- PV (kW)- Building Net (kW).

Energy Model data and Weather data related to the RSF Systems Model can be found in the "Related Datasets" section of this submission.

Tags: 2011, building, building-energy, building-energy-efficiency, buildings, colorado, consumption, control-strategy, dat, electricity, energy-analysis, energy-conservation, energy-efficiency, golden, mathematics-and-computing-research, measured-data, nrel, research-support-facility, resources, rsf, usage
Organization: Department of Energy