Find research datasets worth reusing

Pertubation Profiles Dataset used for "Convection-generated gravity waves in the tropical lower stratosphere from Aeolus wind profiling and ERA5 reanalysis"

These are the perturbation profiles, from 5km to 29.5km, with a 500m grid. In the study, we picked up the data between tropopause-1km to 22km, which was then squared, smoothed, and averaged into one value. We used a 14 points moving average for the smoothing. The data is from 2018-09 to 2022-09, based on the Aeolus L2B Rayleigh clear wind, using only quality flag 1 data. Please email me at mathieu.ratynski@estaca.eu if you're interested in the 100m resolution version, used in the final version of the manuscript.

opencc-by-4.0Jun 2023View details →

Dataset - Downscaling ERA5 Wind Speed Data: A Machine Learning approach considering Topographic Influences

This dataset provides three products: 1. The topographic data.   These data are provided as GeoTIFF files for Europe with 1km x 1km spatial resolution. These maps include: <ul> <li>Digital Elevation Model (DEM) map: Europe_DEM.tif</li> <li>Slope map: Europe_slope.tif</li> <li>Aspect map: Europe_aspect.tif</li> <li>Topographic Position Index (TPI) with a 5 km radius map: Europe_TPI_5.tif</li> <li>Topographic Position Index (TPI) with a 75 km radius map: Europe_TPI_75.tif</li> <li>Terrain Diversity Index (TDI) map: Europe_TDI.tif</li> </ul> These data can be used as input maps for the preprocessing step. In addition, the two TPI maps can also be used in the regression process. 2. The resulting map of the preprocessing step.  This map offers predictions on the quality of ERA5 data across Europe and is also provided as a GeoTIFF file with 1km x 1km spatial resolution under the name: <ul> <li> Europe_classification.tif</li> </ul> In this map, Class1 represents a good ERA5 quality with an RMSE of less than 1.5 m/s, Class2 represents a moderate ERA5 quality with an RMSE bigger than 1.5 m/s but less than 3 m/s, while Class 3 indicates a poor ERA5 quality with an RMSE greater than 3 m/s. 3. The downscaled wind speed time series data. Europe has been divided into 64 equal area blocks to accommodate the large data size. Each downscaled dataset is provided as a NetCDF file, offering hourly wind speed time series for a year (8760 hours) at approximately 1km x 1km spatial resolution. Each NetCDF file has three dimensions: 'lon' representing longitude, 'lat' representing latitude, and 'time' representing the hour. The variable name for wind speed in the NetCDF file is 'WindSpeed'. The 'WindSpeed' variable is stored as an Int32 data type in the NetCDF file, with values multiplied by 10000 in order to significantly reduce the data size. To utilize this variable, please divide it by 10000. For regions identified as Class1 and Class2, the downscaled wind speed is obtained through a simple nearest neighbour spatial interpolation of ERA5 due to the good quality of ERA5 in these regions. However, for the regions identified as Class3, the downscaled wind speed is derived using the machine learning-based regression approach described in the relevant publication. The geographic extent and the visual representation for each block are provided in 'Readme.pdf' document.   To cite this dataset, please cite our published paper in Environmental Research Letters (DOI: 10.1088/1748-9326/aceb0a)

TEAMx-PC22 (TEAMx pre-campaing 2022) - KITcube cloud radar vertical winds in Kolsass

The RPG FMCW dual-pol dual-frequency cloud radar was operated in Kolsass. This data set contains vertical wind speed in 10 s temporal resolution for both frequencies, 94 GHz and 35 GHz. Vertical wind measurements are interrupted by PPI scans, thus there are regular gaps. The data set covers the period from May, 18th, through Sept., 22th, 2022.There were technical problems which caused partly very long measurement gaps especially in the second half of the period. Data are stored as one NetCDF file.

TEAMx-PC22 (TEAMx pre-campaing 2022) - KITcube cloud radar horizontal winds (from PPI) in Kolsass

The RPG FMCW dual-pol dual-frequency cloud radar was operated in Kolsass. This data set contains wind speed and wind direction in 10 min. temporal resolution for both frequencies, 94 GHz and 35 GHz. The wind is determined from PPI at 70 degree elevation via an unfolding VAD algorithm (see Pierre Tabary, Georges Scialom, and Urs Germann. Real-time retrieval of the wind from aliased velocities measured by doppler radars. J. Atmos. Oceanic Technol., 18 (6):875–882, June 2001.) PPIs were performed from May, 31st, through Aug, 26th, 2022. There were technical problems which caused partly very long measurement gaps especially in the second half of the period. Data are stored as one NetCDF file.

Björkö Wind Turbine Version 1 (45kW) SCADA

Chalmers wind turbine has variable speed operation with a direct driven generator and a frequency converter, it also has a digital control system developed by Chalmers. The wind turbine has a rated power of 45 kW and rated speed of 75 rpm. The wooden tower is 30 m high, the blades of carbon fibres are 7.5 m long, and the turbine diameter is 15.9 m. The individually blade pitch system is electrical. The turbine is situated on the island Björkö at Skarviksvägen, 20 km west of Göteborg city. The coordinates are: 57.71818820625921, 11.683382148764485. 68 SCADA Channels contain timeseries observations (at 1Hz) of Rotor, Gearbox, Yaw Motor, Inverter, and other components. In addition, some structural monitoring data such as nacelle accelerations, tower and blades bending moments are included. The data set covers time period from 06 July 2022 to 15 July 2023. Structured metadata about wind turbine characteristics and SCADA channels is included as JSON files and CSV. Additional information is available upon request.

Björkö Wind Turbine Version 1 (45kW) high frequency Structural Health Monitoring (SHM) data

The Chalmers wind turbine has variable speed operation with a direct driven generator and a frequency converter, it also has a digital control system developed by Chalmers. The wind turbine has a rated power of 45 kW and rated speed of 75 rpm. The wooden tower is 30 m high, the blades of carbon fibres are 7.5 m long, and the turbine diameter is 15.9 m. The individually blade pitch system is electrical. The turbine is situated on the island Björkö at Skarviksvägen, 20 km west of Göteborg city. The coordinates are: 57.71818820625921, 11.683382148764485. 69 SCADA and structural vibration and loads Channels timeseries (sampled at 20 and 100 Hz) such as nacelle accelerations, tower and blades bending moments are included. Structured metadata about wind turbine characteristics, SCADA, vibration and loads channels are included as JSON files and CSV. This particular dataset consisting of high frequency sampled data, is intended for condition and structural health analysis. The data covers: <ul> <li>the measurements sampled at 100 Hz correspond to the period from 05 July 2022 to 9 June 2023</li> <li>the measurements sampled at 20 Hz correspond to the period from 05 July 2022 to 2 August 2023</li> </ul> This repository includes: Time-series data in csv format: <ul> <li>B1_CL4_20.csv (this is the data sampled at 20 Hz)</li> <li>B1_CL4_100.csv (this is the data sampled at 100 Hz)</li> </ul> Metadata: <ul> <li>Bjorko_Sensors_Specs_Metadata.csv (Sensors signals specification in csv format)</li> <li>Bjorko_modes_mapping.csv (numerical integer value representing the wind turbine controller system mode in csv format)</li> <li>Bjorko_modes_mapping.json (numerical integer value representing the wind turbine controller system mode in csv JSON format)</li> <li>Bjorko_digital_io_states_mappings.csv (Description of digital input and output states in the wind turbine controller system in csv format)</li> </ul> Media: <ul> <li>Chalmers-Wind turbine.pdf (description of the wind turbine including pictures)</li> <li>Chalmers wind turbine description 220121-short.pdf (description of the wind turbine including pictures)</li> </ul> Semantic artifacts: <ul> <li>N/A</li> </ul> Other: <ul> <li>N/A</li> </ul> Additional information is available upon request.

Aventa AV-7 ETH Zurich Research Wind Turbine SCADA and high frequency Structural Health Monitoring (SHM) data

General description of wind turbine: The ETH owned wind turbine is Aventa AV-7, manufactured by Aventa AG in Switzerland and was commissioned in December 2002. The turbine is operated via a belt-driven generator and a frequency converter with a variable speed drive. The rated power of the Aventa AV-7 is 7 kW, beginning production at a wind speed of 2 m/s and having a cut-off speed of 14 m/s. The rotor diameter is 12.8 m with 3 rotor blades, and a hub height is 18m. The maximum rotational speed of the turbine is 63 rpm. The tower is a tubular steel-reinforced concrete structure, supported on concrete foundation, while the blades are made of glassfiber with a tubular steel main-spar. The turbine is regulated via a variable-speed and variable pitch control system. Location of site: The wind turbine is located in Taggenberg, about 5 km from the city centre of Winterthur, Switzerland. This site is easily accessible by public transport and on foot with direct road access right next to the turbine. This prime location reduces the cost of site visits and allows for frequent personal monitoring of the site when test equipment is installed. The coordinates of the site are: 47°31'12.2"N 8°40'55.7"E. Control and measurement systems and signals: The turbine is regulated via a variable-speed and collective variable pitch control system. SHM Motivation: Designed and commissioned in 2002, the Aventa wind turbine in Winterthur is soon reaching its end of design lifetime. In order to assess the various techniques of predicting the remaining useful lifetime, a Structural Health Monitoring (SHM) campaign was implemented by ETH Zurich. The monitoring campaign started in 2020, and is still ongoing. In addition, the setup is used as a research platform on topics such as system identification, operational modal analysis, faults/damage detection and classification. We analyze the influence of operational and environmental conditions on the modal parameters and to further infer Performance Indicators (PIs) for assessing structural behavior in terms of deterioration processes. Data Description: The tower and nacelle have been instrumented with 11 accelerometers distributed along the length of the tower, nacelle main frame, main bearing and generator. Two full bridge strain gauges are installed on the concrete tower based measuring fore-aft and side-side strain (and can be converted to bending moments) – all acceleration and strain signals sampled at 200Hz. Temperature and humidity are measured at the tower base – 1Hz data. In additional we are collecting operational performance data (SCADA), namely: wind speed, nacelle yaw orientation, rotor RPM, power output and turbine status – SCADA signals are sampled at 10Hz. See appendix for further details of the sensors layout. The measurements/instrumentation setup, type and layout is provided in the pdf files. The data: the data is provided in zip files corresponding to four use-cases as follows: <ul> <li>Normal operation data for system identification</li> <li>Aerodynamic imbalance on one blade</li> <li>Rotor icing event</li> <li>Failure of the flexible coupling of the linear drive of the collective pitch system</li> </ul> The data for each of the four uses-cases is organized in zip files. The content of each zip file is as follows: <ul> <li>Time-series data in HDF5 format</li> <li>Metadata: <ul> <li>Turbine specification (Aventa-AV-7.json and Aventa-AV-7.yaml)</li> <li>Sensor specification (Aventa_sensors.json )</li> <li>Unstructured description of the Aventa Turbine and the installed sensors (Aventa_Sensors_Specs.xlsx)</li> </ul> </li> <li>Semantic artifacts: <ul> <li>WindIO Wind Turbine YAML schema describing turbine specifications (IEAontology_schema.yaml)</li> <li>Sensor specification JSON schema (sensors_schema.json)</li> </ul> </li> <li>Media: Pictures of leading edge roughness and a clip of wind turbine operation</li> <li>Code: Jupyter notebook containing example code to load metadata from JSON and data from HDF5 files (example.ipynb)</li> </ul> Additional data is available upon request, please contact: <ul> <li>Prof. Dr. Eleni Chatzi (chatzi@ibk.baug.ethz.ch)</li> <li>Dr. Imad Abdallah (ai@rtdt.ai , abdallah@ibk.baug.ethz.ch)</li> </ul> For further details or questions, please contact: Prof. Dr. Eleni Chatzi Chair of Structural Mechanics & Monitoring ETH Zürich <a href="http://www.chatzi.ibk.ethz.ch/">http://www.chatzi.ibk.ethz.ch/</a>

opencc-by-4.0Apr 2015View details →

High-resolution surface wind observations over complex terrain: Big Southern Butte, Salmon River Canyon, Birch Creek

This dataset contains high-resolution wind observations from three field campaigns that took place during 2010-2014 at Big Southern Butte, Salmon River Canyon, and Birch Creek, Idaho. There are three SQLite databases containing 30-s averaged 3-m wind speed, wind direction, and wind gust data from 30-90 cup-and-vane anemometers over a period of 2-4 months at each field site.

Data Sets: The Influence of Synoptic Wind on Land-Sea Breezes

DATA & FILE OVERVIEW This dataset contains the dimensional results of large-eddy simulations in .nc file format conducted over the thirty one simulations detailed in Allouche et al. (2023) (https://doi.org/10.1002/qj.4552) with differing synoptic pressure forcings and alignment angles of the latter with the shoreline. The patterns are altered as to conduct the analysis followed in Allouche et al. (2023) (https://doi.org/10.1002/qj.4552).

Aerodynamic model comparison for an X-shaped vertical-axis wind turbine

This repository can be used to reproduce the power, thrust, blade forces, and vertical induction from the journal paper 'Aerodynamic model comparison for an X-shaped vertical-axis wind turbine (https://doi.org/10.5194/wes-2023-115)'. The processing and plotting files are in MATLAB format (*.m). As an alternative to MATLAB, Octave can be used to run these files as well.

opencc-by-4.0Sep 2023View details →

Ice Throw from Wind Turbines: Experimental Data, 6DOF Model, CFD results, 3D Scans

Compiled data and code from the Eisball Project (funded by the Austrian Research Promotion Agency FFG, project number 865060)     6DOF_model_octave.zip - reference implementation of the six-degree-of-freedom model in MathML (Octave or MATLAB) experimental_data.csv - Experimental Data from dropping artificial ice fragments from wind turbines, recording drop distance and direction, details in experimental_data_column_description.txt ???_forces_and_moments.csv - forces and moments tables for the use in the 6DOF model, specific per specimen type   Data was first published in Nov 2021 at https://boku.ac.at/wau/risk/abgeschlossene-projekte/eisball-1 (may not persist)

opencc-by-4.0Sep 2023View details →

Wind spacecraft floating potential measurements

Quick Summary: The ASCII files herein are a dataset of spacecraft electric potential for the Wind spacecraft between January 1, 2005 and January 1, 2022.  The data is thoroughly described in the publication "Spacecraft floating potential measurements for the Wind spacecraft," The Astrophysical Journal Supplement Series. Wind Spacecraft: The Wind spacecraft (<a href="https://wind.nasa.gov">https://wind.nasa.gov </a>and <a href="https://doi.org/10.1029/2020RG000714">https://doi.org/10.1029/2020RG000714</a>) was launched on November 1, 1994 and currently is in a halo orbit about the first Sun-Earth Lagrange point.  It holds a suite of instruments from gamma ray detectors to quasi-static magnetic field instruments, Bo.  The instruments used in this study and these datasets are the fluxgate magnetometer (MFI), the radio receivers (WAVES), ion Faraday cups (SWE), and the electron and ion electrostatic analyzers (3DP).  The MFI measures 3-vector Bo at ~11 samples per second (sps); the SWE measures reduced velocity distribution functions (VDFs) of the thermal proton and alpha-particle populations from which velocity moments are derived and used herein; WAVES observes electromagnetic radiation from ~4 kHz to >12 MHz which provides an observation of the upper hybrid line (also called the plasma line) used to define the total electron density; and 3DP observes full 4π steradian VDFs of electrons and ions from a few eV to ~30 keV which provide both ion velocity moments and the electron VDFs modeled herein. Brief Method Description: The spacecraft potential, \(\phi_{sc}\), was found using four methods.  Three of these methods return a range of values while the fourth returns a single value.  The methods rely on examining the shape of the electron energy distribution function (EDF), f(E) versus energy, E, for three different pitch-angles (parallel, perpendicular, and anti-parallel with respect to the quasi-static magnetic field, Bo).  The instrument has a physical lower energy threshold, Emin, below which no data are measured.  We impose an upper energy threshold, Emax, allowed when searching for \(\phi_{sc}\) based on empirical evidence.  The methods are as follows: Method 1:  find the range of energies where d2f/dE2 > 0, also referred to as the positive curvature region; Method 2:  find the range of energies where df/dE transitions from negative to positive, i.e., the local minimum point of f(E); Method 3:  find the range of energies bounding the minimum and maximum values of d2f/dE2, i.e., region of minimum to maximum curvature; and Method 4:  find the local minimum between Emin and Emax There are some additional constraints imposed in the software, available at <a href="https://github.com/lynnbwilsoniii/wind_3dp_pros">https://github.com/lynnbwilsoniii/wind_3dp_pros</a> (<a href="https://doi.org/10.5281/zenodo.6141586">https://doi.org/10.5281/zenodo.6141586</a>).  We found four basic shapes for the EDFs (see paper for example figures), two (i.e., Types A and B) of which satisfy Emin < \(\phi_{sc}\) and thus are good.  The other two shapes (i.e., Types C1 and C2) satisfy Emin > \(\phi_{sc}\), and thus we cannot determine \(\phi_{sc}\) from the EDF.  We can only know that it has an upper bound of Emin.  All Type A EDFs are given a quality flag (QF) of 4 (i.e., the best), all Type Bs are given a QF of 2 (i.e., still okay and useable), and all Type Cs are given a QF of 0 (i.e., do not use these). ASCII File Description: Each ASCII file contains one year of data.  There is summary information contained in the header of each file.  The first two columns are the start and end times (UTC) of the EDF (format 'YYYY-MM-DD/hh:mm:ss.xxx').  After the times, Methods 1-3 have six columns and Method 4 has three columns.  The first(second) three columns for Methods 1-3 correspond to the lower(upper) bound on the range of \(\phi_{sc}\) [eV] solutions.  Method 4 only has one set of three-column solutions.  Each three-column set corresponds to the parallel, perpendicular, and anti-parallel pitch-angle solutions.  All of these in total comprise 21 columns.  The \(\phi_{sc}\) solutions are followed by a column for Emin [eV] and Emax [eV].  The last two columns are the EDF label or type (i.e., A, B, C1, or C2) and the quality flag (i.e., 4, 2, or 0). Note that NaNs have been replaced with -1030 fill values

opencc-by-4.0Sep 2023View details →

Identification of high-wind features within extratropical cyclones using a probabilistic random forest - Part 2: Climatology - Dataset

This dataset provides output of RAMEFI for the wind feature climatology presented in Eisenstein et al. (2023; 10.5194/wcd-2023-10) for the winter months October to March 2000-2019 using COSMO-REA6 (https://reanalysis.meteo.uni-bonn.de/?COSMO-REA6). rf_crea_<yyyymm>.nc include the unfiltered probabilities for 'no feature' (p0), warm jet (p1), cold-frontal convection (p2), cold jet (p3) and cold-sector winds (p5) for each month. To filter for cyclone tracks, use cyclone_tracks.csv. The file includes interpolated ERA5 cyclone tracks for the investigated area and time period (see Section 2.4 of the paper). mask.nc includes a land sea mask, height of surface level and a mask to exclude certain grid points as discussed in the manuscript (e.g., grid points with an altitude over 800m and the Balkans) for further filtering.

openCC (other)Dec 2017View details →

High-frequency water temperature, chlorophyll fluorescence, wind speed, and photosynthetically active radiation data for 18 globally-distributed lakes 2008 - 2013

Abstract: This dataset was used in the analysis described in the manuscript by Rusak, J. A.J. Tanentzap, J.L. Klug, K. Rose, L.A. Winslow R. Smyth, E. Jennings, D. Pierson, S. Hendricks, A. Laas, E. Ryder, D. White, R. Adrian, L. Arvola, E. de Eyto, H. Feuchtmayr, M. Honti, V. Istanovics, I. Jones, C. McBride, S. Schmidt, G. Zhu. Wind and trophic status explain the temporal and spatial variability of chlorophyll in lakes. In review: Limnology and Oceanography Letters. The variation in chlorophyll fluorescence from 18 globally distributed lakes, was tested at monthly, daily and hourly scales in related to high-frequency measurements of wind, water temperature and radiation within lakes as well as lake productivity and morphometry among lakes. Overall, monthly variation in algal biomass was greater than that expressed at either daily or hourly scales but, combined, these latter time scales were equivalent to seasonal variation. Among lakes, algal biomass variation increased with trophic status while, within-lake variation increased with increasing wind speed variation. Together, our results suggest that predicted changes associated with a changing climate, as well as widespread ongoing cultural eutrophication, have the potential to substantially alter the variability of algal biomass and thus the predictability of the services it provides. This dataset includes the data used in the analysis described above.

openOpenDec 2015View details →

Daliy weather data (wind, temperatrue, humididty, pressure, precipitation) from Roche Mountonnee , in the northern foothills of the Brooks Range, Alaska, summers 2010-2014.

Daily weather data from mid May to late July 2011 to 2013 from Roche Moutonnee (south of Toolik Field Station and Arctic LTER), in the northern foothills of the Brooks Range, Alaska. Parameters measured include: wind speed, wind directions, temperature, humidity, pressure and precipitation.

openCC (other)Dec 2024View details →

Jornada Basin LTER Nutrient and Ecosystem impacts of Aeolian Transport Study (NEAT) Block 3 meteorological station: 5-minute summary wind and air temperature data: 2018 - ongoing

5-minute summary data at NEAT Block-3 met station. A met station consisting of a 10-meter mast is installed on the northwest corner of the site. Air temperature, wind direction and wind speed sensors are mounted on the mast. A vertical wind profile is measured with anemometers at 0. 45m, 0.90m, 1.90m, 4.40m and 10m on the mast. A wind vane is installed at 2.50m and 8.50m. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset.

openCC (other)Jan 2020View details →

Year 2018, PIE LTER wind sensor data, 15 minute intervals, from the Ipswich Bay Yacht Club pier located in Ipswich, MA

Wind sensor measurements (wind speed and wind direction) for 2018 at the Ipswich Bay Yacht Club, Ipswich, MA, 15 minute average measurements.