AndreaBozzo/ceres-open-data-index huggingface dataset:
Hydrokinetic Canal Measurements: Inflow Velocity, Wake Flow Velocity, and Turbulence

The dataset consist of acoustic Doppler current profiler (ADCP) velocity measurements in the wake of a 3-meter diameter vertical-axis hydrokinetic turbine deployed in Roza Canal, Yakima, WA, USA.  A normalized hub-centerline wake velocity profile and two cross-section velocity contours, 10 meters and 20 meters downstream of the turbine, are presented.  Mean velocities and turbulence data, measured using acoustic Doppler velocimeter (ADV) at 50 meters upstream of the turbine, are also presented. Canal dimensions and hydraulic properties, and turbine-related information are also included.


Tags: acoustic-doppler-current-profiler, acoustic-doppler-velocimeter, adcp, adv, canal, characterization, contour, cross-section, current, dimensions, energy, field-test, flow, hub-centerline, hydraulic-properties, hydrokinetic, impact-assessment, inflow, marine, measurements, mhk, normalized, power, profile, resource, river, roza-canal, sandia, specifications, specs, survey, turbine, turbulence, us-bureau-of-reclamation, usa, velocity, velocity-deficit, vertical-axis, wa, wake, washington, water-velocity, yakima
Organization: Department of Energy
Admiralty Inlet Advanced Turbulence Measurements: May 2015

This data is from measurements at Admiralty Head, in Admiralty Inlet (Puget Sound) in May of 2015. The measurements were made using Inertial Motion Unit (IMU) equipped ADVs mounted on a 'StableMoor' (Manufacturer: DeepWater Buoyancy) buoy and a Tidal Turbulence Mooring (TTM). These platforms position ADV heads above the seafloor to make mid-depth turbulence measurements. The inertial measurements from the IMU allows for removal of mooring motion in post processing.

The mooring and buoy motion has been removed from the stream-wise and vertical velocity signals (u, w). The lateral (v) velocity has some 'persistent motion contamination' due to mooring sway.

The TTM was deployed with one ADV, it's position was: 48 09.145', -122 41.209'

The StableMoor was deployed twice, the first time it was deployed in 'wing-mode' with two ADVs ('Port' and 'Star') at: 48 09.166', -122 41.173'

The second StableMoor deployment was in 'Nose' mode with one ADV at: 48 09.166', -122 41.174'

Units
-----
- Velocity data (_u, urot, uacc) is in m/s.
- Acceleration (Accel) data is in m/s^2.
- Angular rate (AngRt) data is in rad/s.
- The components of all vectors are in 'ENU' orientation. That is, the first index is True East, the second is True North, and the third is Up (vertical).
- All other quantities are in the units defined in the Nortek Manual.

Motion correction and rotation into the ENU earth reference frame was performed using the Python-based open source DOLfYN library (http://lkilcher.github.io/dolfyn/). Details on motion correction can be found there.

Additional details on TTM measurements at this site can be found in the included Marine Energy Technology Symposium paper.

Tags: acceleration, admiralty-inlet, adv, angular-rate, buoy, code, data, deepwater-buoyancy, dolfyn, effectiveness, energy, field-test, hydrokinetic, imu, marine, matlab, measurement, measurements, mhk, mid-depth-turbulence, nortek-vector, nrel, ocean, pnnl, power, pre-processed, processed-data, puget-sound, python, raw-data, resource, safety, stablemoor, technology, tidal-turbulence-mooring, ttm, turbulence, university-of-washington, vec, vector-files, water-velocity
Organization: Department of Energy
Admiralty Inlet Advanced Turbulence Measurements: June 2014

This data is from measurements at Admiralty Head, in Admiralty Inlet (Puget Sound) in June of 2014. The measurements were made using Inertial Motion Unit (IMU) equipped ADVs mounted on Tidal Turbulence Mooring's (TTMs). The TTM positions the ADV head above the seafloor to make mid-depth turbulence measurements. The inertial measurements from the IMU allows for removal of mooring motion in post processing.

The mooring motion has been removed from the stream-wise and vertical velocity signals (u, w). The lateral (v) velocity has some 'persistent motion contamination' due to mooring sway.

Each ttm was deployed with two ADVs. The 'top' ADV head was positioned 0.5m above the 'bottom' ADV head. The TTMs were placed in 58m of water. The position of the TTMs were:

ttm01  : (48.1525, -122.6867)
ttm01b : (48.15256666, -122.68678333)
ttm02b : (48.152783333, -122.686316666)

Deployments TTM01b and TTM02b occurred simultaneously and were spaced approximately 50m apart in the cross-stream direction.

Units
-----
- Velocity data (_u, urot, uacc) is in m/s.
- Acceleration (Accel) data is in m/s^2.
- Angular rate (AngRt) data is in rad/s.
- The components of all vectors are in 'ENU' orientation. That is, the first index is True East, the second is True North, and the third is Up (vertical).
- All other quantities are in the units defined in the Nortek Manual.

Motion correction and rotation into the ENU earth reference frame was performed using the Python-based open source DOLfYN library (http://lkilcher.github.io/dolfyn/). Details on motion correction can be found there.

Additional details on TTM measurements at this site can be found in the included Marine Energy Technology Symposium paper.

Tags: acceleration, admiralty-inlet, adv, angular-rate, buoy, code, data, deepwater-buoyancy, dolfyn, effectiveness, energy, field-test, hydrokinetic, imu, marine, matlab, measurement, mhk, nortek-vector, nrel, pnnl, power, pre-processed, processed-data, puget-sound, python, raw-data, resource, safety, tidal-turbulence-mooring, ttm, turbulence, university-of-washington, vec, vector-files, water-velocity
Organization: Department of Energy
Admiralty Inlet Hub-Height Turbulence Measurements from June 2012

This data is from measurements at Admiralty Head, in Admiralty Inlet. The measurements were made using an IMU equipped ADV mounted on a mooring, the 'Tidal Turbulence Mooring' or 'TTM'. The inertial measurements from the IMU allows for removal of mooring motion in post processing. The mooring motion has been removed from the stream-wise and vertical velocity signals (u, w). The lateral (v) velocity may have some 'persistent motion contamination' due to mooring sway. The ADV was positioned 11m above the seafloor in 58m of water at 48.1515N, 122.6858W.

Units
------
- Velocity data (_u, urot, uacc) is in m/s.
- Acceleration (Accel) data is in m/s^2.
- Angular rate (AngRt) data is in rad/s.
- The components of all vectors are in 'ENU' orientation. That is, the first index is True East, the second is True North, and the third is Up (vertical).
- All other quantities are in the units defined in the Nortek Manual.

Motion correction and rotation into the ENU earth reference frame was performed using the Python-based open source DOLfYN library (linked in resources). Details on motion correction can be found there.

For additional details on this dataset see the included Marine Energy Technology Symposium paper.


Tags: acoustic-doppler-current-profiler, acoustic-doppler-velocimeter, acoustic-wave-and-current-profiler, adcp, admiralty-head, admiralty-inlet, adv, awac, code, dolfyn, effectiveness, energy, field-test, hydrokinetic, imu, inertial-measurement-unit, lateral, marine, matlab, mhk, mooring, nortek-vector, ocean, power, processed-data, puget-sound, python, raw-data, resource, safety, stream-wise, tidal-turbulence-mooring, ttm, turbulence, usa, velocimetry, velocity, vertical, wa, washington, water-velocity
Organization: Department of Energy
Aquantis 2.5 MW Ocean Current Generation Device Design Details

Items in this submission provide the detailed design of the Aquantis Ocean Current Turbine and accompanying analysis documents, including preliminary designs, verification of design reports, CAD drawings of the hydrostatic drivetrain, a test plan and an operating conditions simulation report.  This dataset also contains analysis trade off studies of fixed vs. variable pitch and 2 vs. 3 blades.

Tags: analysis-report, aquantis, axial, axial-flow-turbine, axis, bill-of-materials, blade-configuration, bom, cad, cec, current, design, design-review, details, drivetrain, energy, fixed-pitch, horizontal, hydrokinetic, hydrostatic-drivetrain, marine, mhk, ocean, ocean-current, operating-conditions, power, report, seawater-bearing, simulation, structural-design, technology, test-plan, turbine, variable-pitch
Organization: Department of Energy
MHKDR Data Management and Best Practices for Submitters and Curators

Resources for MHKDR data submitters and curators, including training videos, step-by-step guides on data submission, and detailed documentation of the MHKDR. The Data Management and Submission Best Practices document also contains API access and metadata schema information for developers interested in harvesting MHKDR metadata for federation or inclusion in their local catalogs.


Tags: api, best-practices, data, energy, federation, guide, hydrokinetic, management, marine, metadata, mhk, mhkdr, power, standards, storage, submission, training
Organization: Department of Energy
Utah FORGE: Temperature-Dependent Fracture Seismicity from Fluid Injection Experiments

This dataset contains experimental data from fluid injection experiments conducted to investigate the influence of temperature on fracture seismicity. The experiments were performed on granite samples from Utah FORGE. The samples were prepared with a 30-degree inclined fracture and subjected to controlled stress and temperature conditions. Data were collected under three distinct temperature settings: 24 C, 78 C, and 137 C.

During the experiments, a constant confining pressure of 10 MPa and a constant shear stress at 80% of the shear strength of the sample were maintained. Pore pressure was incrementally increased at a rate of 300 kPa every three minutes to simulate fluid injection. Temperature was raised rapidly and then stabilized for the duration of each test. The dataset includes shear stress and displacement measurements under each temperature condition, along with supplementary figures illustrating the experimental setup and time-series plots of pressures and temperature.  

Tags: displacement, egs, energy, experimental-geomechanics, fluid-injection, fracture-mechanics, fracture-seismicity, geomechanics, geothermal, granite, high-temperature-rock-mechanics, pore-pressure, raw-data, seismicity, shear-stress, stimulation, temperature, utah-forge
Organization: Department of Energy
Utah FORGE: Wells 16A(78)-32 and 16B(78)-32 Stimulation Program Report - May 2024

This dataset consists of a comprehensive report documenting the stimulation program conducted in May 2024 on Utah FORGE wells 16A(78)-32 and 16B(78)-32. It includes detailed accounts of operational and scientific objectives, stimulation methodologies, and testing outcomes. The report describes the hydraulic fracturing activities, equipment setups, proppant and fluid usage, and the execution of a nine-hour circulation test. It also includes observations from seismic and fiber optic monitoring systems, providing data on microseismic activity and fracture propagation. Detailed parameters for each stimulation stage are provided, alongside operational challenges and solutions. The dataset includes analyses of injection and production rates, well temperatures, and pressure data, supported by graphical illustrations and logs.

Tags: 16a, 16b, circulation, egs, energy, frac, fracing, geothermal, injection-rate, logs, methods, pressure, production-rate, proppant, report, stimulation, stimulation-end-of-job-report, stimulation-report, technical-report, temperature, utah-forge, well-16a, well-16a78-32, well-16b, well-16b78-32, well-stimulation
Organization: Department of Energy
Utah FORGE: Well 16A(78)-32 Hydraulic Fracturing Stage 8 Crosswell Strain FDI and Microseismic Presentations -  April 2024

This is a pair of PowerPoint presentations from Neubrex Energy Services (US), LLC. The presentations review work done in April 2024 on crosswell strain fracture driven interactions (FDI) and microseismic event monitoring during hydraulic fracturing in stage 8 of Utah FORGE well 16A(78)-32. Well 16B(78)-32 was the monitoring well and was where the data for these presentations were collected.

Tags: 16a, 16a78-32, 16b, 16b78-32, crosswell, crosswell-strain, distributed-strain-sensing, dss, egs, energy, far-field-strain, fdi, fiber-optic-sensing, fracture-driven-interactions, geophysics, geothermal, hydraulic-fracturing, microseismic, neubrex, processed-data, rfs-strain, stage-8, stimulation, strain, strain-rate, technical-report, utah-forge, well-16a
Organization: Department of Energy
Utah FORGE: Fiber Optic Cumulative Strain Change and Strain Change Rate Data From Well 16A Stimulation at Well 16B

This dataset includes Rayleigh Frequency Shift (RFS) Distributed Strain Sensing (DSS) cumulative strain change and change rate data.  The data was acquired during the stimulation of Utah FORGE Well 16A(78)-32 in April 2024 via fiber installed in Well 16B(78)-32. The fiber optic data was acquired using Neubrex SR7000 RFS DSS Distributed Strain sensing instruments and is saved here in the format of HDF5 files (.h5 extension).  The spatial sampling on the full wellbore profiles is 0.20 centimeters.  The data is the far field strain change response from a baseline profile made down the 16B well on April 3, 2024, so each strain value represents the strain change or strain change rate at each depth relative to the baseline reference profile. The data arrays for each type share the same dimensions (number of channels and time stamps).

Tags: 16a, 16b, cumulative-strain, distributed-strain-sensing, dss, egs, energy, far-field-strain-change, fiber-optic-sensing, fractures, geophysics, geothermal, h5, hdf5, hydraulic-fracturing, neubrex, processed-data, rayleigh-frequency-shift, rfs, sr7000, stimulation, strain, strain-change-rate, strain-rate, strain-response, utah-forge
Organization: Department of Energy
Utah FORGE: Stimulation Crosswell Strain Response Fiber Optic Monitoring Report - April 2024

This report documents the use of fiber optic Rayleigh frequency shift (RFS) Distributed Strain Sensing (DSS), Distributed Temperature Sensing (DTS), and microseismic data recorded during the hydraulic fracture stimulation of well 16A(78)-32, as detected in the offset well 16B(78)-32 in April 2024.  The report from Neubrex reviews the spatial and temporal evolution of these measurements on the 16B well that is located above the 16A well in the reservoir.  Hydraulic Pressure Pumping curve data is integrated with the fiber optic data.  Microseismic data acquired and processed by Geo-Energie Suisse Suisse is also included in the integration and comparison to strain data acquired in the near field of 16B. 

Tags: crosswell, distributed-strain-sensing, distributed-temperature-sensing, dss, dts, energy, fault-reactivation, fdi, fiber-optic-monitoring, frac-hits, fracture-driven-interaction, geophysics, geothermal, hydraulic-fracturing, micro-seismic, neubrex, processed-data, report, rfs-dss, stimulation, strain, utah-forge
Organization: Department of Energy
Utah FORGE: GES Well 16A(78)-32 and Well 16B(78)-32 Stimulation Seismic Event Catalogs

This dataset contains seismic event catalogs from the hydraulic stimulation of wells 16A(78)-32 and 16B(78)-32 at the Utah FORGE site in April 2024. The data was collected by Geo Energy Suisse (GES) using a variety of seismic monitoring technologies, including 3-component (3C) geophones and distributed acoustic sensing (DAS) systems. These technologies were deployed across several locations, including wells 16A, 16B, and Delano-1, with sensor arrays at multiple depths to capture microseismic activity during the stimulations.

The catalogs provide both real-time and manually checked seismic event locations, with detailed parameters such as trigger conditions, velocity models, and data acquisition settings. The dataset includes information on the stimulation stages, event rates, and hydraulic injection conditions for each well, with a report detailing the data acquisition configuration and seismic event location methodologies. Users will need to reference the included report for a complete understanding of the sensor network, data processing techniques, and accuracy considerations.

Tags: 16a, 16b, 3c, das, delano-1, distributed-acoustic-sensing, egs, energy, frac, fracing, geo-energy-suisse, geophone, geothermal, ges, hydraulic-injection, microseismic, processed-data, real-time, seismic, seismic-catalog, seismic-data, stimulation, utah-forge, well-16a78-32, well-16b78-32, well-stimulation
Organization: Department of Energy
RivGen Wake Data, Igiugig, AK

Turbulence data collected in from a SWIFT drifter repeatedly released over the ORPC RivGen turbine

Tags: ak, alaska, cec, cross-flow, cross-flow-turbine, current, data, drifter, energy, float, flow, hydrokinetic, iguigig, marine, matlab, mhk, orpc, patterns, power, raw, raw-data, resource, river, river-current, river-turbine, rivgen, surface, swift, tracking, turbine, turbulence, wake, wave-instrument
Organization: Department of Energy
Aquantis 2.5 MW Ocean Current Generation Device - Full Scale Mooring Analysis Report and Specifications

This dataset contains the Aquantis 2.5 MW Ocean Current Generation Device full scale mooring analysis report and specifications.

Tags: 2-5-mw, analysis, anchor, aquantis, axial, axial-flow-turbine, axis, cec, centers, configuration, current, design, drag, ea, energy, environmental-conditions, factor-of-safety, generation-device, horizontal, hydrokinetic, leg, marine, mhk, modeling, mooring, mooring-analysis, ocean, ocean-current, pdr, power, preliminary-design-review, report, rotor, system, technology, turbine, weights
Organization: Department of Energy
Community Geothermal: Planning and Design of a Heating and Cooling System in Framingham, Massachusetts

These reports, plans, and drawings review the achievements of Home Energy Efficiency Team (HEET) and its partners to plan and design a network of interconnected ground-source heat pump systems, or geothermal network, in an area encompassing multiple environmental justice (EJ) neighborhoods in the City of Framingham, MA.  The materials provided in this dataset include, a) stakeholder and design best practices, b) study on optimal method to interconnect geothermal loops, c) guidelines for monitoring and metering, d) operations and maintenance plans, e) permitting guidelines and f) 10-day driller tutorial curriculum. These materials can guide the efficient and ethical design of future geothermal networks nationwide. 

The capacity of the system is estimated at 217 tons and is designed to provide 100% of heating and cooling needs for the buildings connected to the loop. In this project, 80 boreholes are used as the main thermal resources, the distribution system (or loop) consists of 0.61 miles of an 8-inch single-pipe at ambient temperature, with the capacity to connect 44 buildings, including 13 apartment buildings from the Framingham Housing Authority, one transitional home, one school building and 29 single family homes. While Framingham already has a geothermal network loop that is currently in the commissioning stage, our proposed project is unique because it is the first utility-led expansion loop (2nd loop) project that will connect to an adjacent existing geothermal loop (1st loop) in a pre-existing neighborhood. Both the 1st and 2nd loops are being installed, owned and operated by Eversource Energy, the utility Deployment Partner.  


Tags: commgeo, community, cooling, design, energy, environmental-justice, expansion-loop, framingham, geothermal, ground-source-heat-pump, gshp, heating, heet, interconnected-loops, maintenance, massachusetts, metering, monitoring, operations, permitting, plan, report, stakeholder
Organization: Department of Energy
Geothermal Play Fairway Analysis for Low-Temperature Resources in the Denver Basin

This dataset is part of an effort to highlight the advantages of incorporating low-temperature (< 150 C) geothermal resource evaluation into the implementation of combined heat and power (CHP), and geothermal direct use (GDU) technologies (e.g., space heating and/or cooling).  For this Denver Basin example, resource favorability maps were created to identify potentially favorable areas for further geothermal exploration and are provided here.  Favorability was based on three types of data: (1) geologic, (2) economic, and (3) risk. This raw data is also provided below. Geologic data include bottom-hole temperatures (BHT) from oil and gas wells, water co-production volumes from oil and gas wells, well groundwater levels, hot spring locations, temperatures, and chemistries, faults, and earthquakes. Economic feasibility data include population, thermal energy demand, infrastructure, and roads. Risk data (which includes data on excluded areas) include flood plains, protected lands (e.g. wildlife conservation areas, national parks).

The included report describes this project in detail, covering workflows, relevant datasets, Python code, and both common and composite maps used to create low-temperature geothermal resource favorability maps for the Denver Basin, which extends across Colorado, Nebraska, and Wyoming. The figures in this report include: maps of the original datasets; maps of transformed data and derived parameters (such as the geothermal gradient or thermal conductivity); results of uncertainty analyses; results of data completeness (using the GeoRePORT tool); examples of the data combination and processing (using the geoPFA Python library, which is introduced in the attached report); favorability maps for each criteria; and a final combined favorability map. This project is designed to facilitate future deployment of CHP and GDU by providing data, tools, and a workflow applicable to low-temperature geothermal resources in sedimentary basins. 

Tags: colorado, denver-basin, earthquakes, economic-data, economic-feasibility, energy, exploration, faults, favorability, geochemistry, geologic-data, geology, geopfa, georeport, geospatial, geothermal, groundwater-levels, hot-spring-locations, low-temperature, pfa, play-fairway-analysis, python, resource-favoribility-maps, risk-data, sedimentary-basin, thermal, water-co-production, workflow
Organization: Department of Energy
Utah FORGE: Neubrex Well 16B(78)-32 Stimulation and Circulation Fiber Optics Reports - Summer, 2024

This zip file contains reports discussing the use of fiber optics during well 16B(78)-32 stimulation and circulation tests in the summer of 2024. The reports cover the collection of strain rate and temperature change data during these well events.  Theory, methods, and initial data visualizations are included in the reports, highlighting the value of these data types.


Tags: circulation, circulation-test, data-visualization, distributed-strain-sensing, dss, dts, energy, fiber-optics, geothermal, micro-strain, neubrex, presentaton-slides, rayleigh, report, stimulation, strain-change-rate, strain-monitoring, temperature-monitoring, utah-forge, well-16b, well-16b78-32
Organization: Department of Energy