AndreaBozzo/ceres-open-data-index huggingface dataset:
January 2022 Hunga-Tonga Hunga-Ha'apai, Tonga Images

The Hunga-Tonga Hunga-Ha'apai volcano, located 60 km northwest of Tongatapu, Tonga, began erupting at 0407 UTC on 15 January 2022 with a massive explosive eruption at 0414 UTC from seismic data. The eruption triggered a tsunami that caused damage locally, regionally, and across the Pacific. The local tsunami killed three people and caused major destruction to many low-lying coastal communities on Tongatapu, âEua and the Ha'apai Group of Tonga; runups up to 15 m and 500 m inundation were reported for Mango Island by the Tonga Geological Services (TGS). Elsewhere, waves up to 2 m in amplitude were reported by the Pacific Tsunami Warning Center (PTWC). Many countries experienced waves greater than 0.3 m in amplitude and damaging waves struck harbours and coasts in New Zealand, Rarotonga, Hawaii and the US west Coast, and as far away as Peru (additionally, two deaths occurred), Chile in the eastern Pacific, and Japan in the northwestern Pacific.

Tags: doc/noaa/nesdis/ncei, doc/noaa/nesdis/ngdc, earth science, human dimensions, icsu-wds, infrastructure, international council for science - world data system, national centers for environmental information, national geophysical data center, natural hazards, nesdis, noaa, noaa onestop project, ocean, ocean waves, oceans, pacific ocean, polynesia, seiches, solid earth, south pacific ocean, tectonics, tonga, tsunamis, u.s. department of commerce, volcanic activity, volcanic eruptions
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
BRFSS Vision Module Data – Vision & Eye Health

2005-2016. This dataset includes data from the retired BRFSS Vision Module. From 2005-2011 the BRFSS employed a ten question vision module regarding vision impairment, access and utilization of eye care, and self-reported eye diseases. In 2013 and subsequently, one question in the core of BRFSS asks about vision: “Are you blind or do you have serious difficulty seeing, even when wearing glasses?” The latest data for this core question can be found in the Vision and Eye Health Surveillance System (VEHSS). VEHSS is intended to provide population estimates of vision loss function, eye diseases, health disparities, as well as barriers and facilitators to access to vision and eye care. This information can be used for designing, implementing, and evaluating vision and eye health prevention programs. To access the latest BRFSS data, (2013-2017) view the Behavioral Risk Factors – Vision and Eye Health Surveillance dataset (https://chronicdata.cdc.gov/Vision-Eye-Health/Behavioral-Risk-Factors-Vision-and-Eye-Health-Surv/vkwg-yswv).

Tags: diabetes, eye-diseases, heart-diseases, hypertension, physical-activity, smoking, state, stroke, vhi, vision-impairment
Organization: U.S. Department of Health & Human Services
Anthropometric Database for Disposable Respirator and Mask Performance

This dataset comprises craniometric and anthropometric dimensions from over 300 participants collected as part of the FACEFIT and FACEFIT2.0 projects. This data was collected and compiled according to ISO #7250-1 and 15535 using a 3D camera and standard calipers. 

Tags: anthropometrics, disposable-respiratory-protection
Organization: U.S. Environmental Protection Agency
Metadata: Social Cohesion as a Modifer of Joint Air Pollution Exposure and Incident Dementia

The data consists of tables extracted from the National Health and Aging Trends Study (NHATS). The data contains residential history, environmental exposures, disease diagnoses, demographics, and income. This dataset is not publicly accessible because: This data is not owned by the EPA and cannot be posted publicly as it contains PII. It can be accessed through the following means: The data can be accessed by contacting the corresponding author for the study (Dr. Aisha Dickerson). Format: The data consists of tables extracted from the National Health and Aging Trends Study (NHATS). The data contains residential history, environmental exposures, disease diagnoses, demographics, and income. 

Tags: air-pollution, dementia, social-cohesion
Organization: U.S. Environmental Protection Agency
Geospatial Transportation Typology

This dataset includes the inputs and results for developing a transportation geo-typology that categorizes every location in the United States in terms of their main drivers of transportation demand and supply. It provides the raw inputs to the census tract level microtypes and county or CBSA level geotypes as well as the final typology labels at both the tract (microtype) and county/CBSA (geotype) levels. Inputs include information on the street network, economic characteristics, topography, commute patterns, and land use. The methodology is published in "Popovich, N., Spurlock, C. A., Needell, Z., Jin, L., Wenzel, T., Sheppard, C., & Asudegi, M. (2021). A methodology to develop a geospatial transportation typology. Journal of transport geography, 93, 103061".

Tags: analysis, commute-patterns, geo-economic, geo-typology, geotype, land-use, microtype, street-network, transportation
Organization: Department of Transportation
Utah FORGE: Stress Ratio Dependence of Ultrasonic Anisotropy in Well 16B(78)-32 Core

This dataset contains high-pressure ultrasonic measurements on a foliated granitoid core from Well 16B(78)-32 at the Utah FORGE site.  Ultrasonic P-waves and two orthogonal S-waves were measured concurrently parallel and perpendicular to the rock fabric.  All measurements were made at 150C, at confining pressures between 10 and 70 MPa, and with max/min stress ratios between 1-2.  Results indicate that anisotropy is primarily controlled by microfractures, with some residual fabric influence at high stress. Data include raw ultrasonic waveforms, velocity measurements, stress-strain records, and a summary presentation of anisotropy trends and Thomsen parameters. 

Tags: anisotropy, confining-pressure, core-analysis, egs, energy, foliated-granitoid, geomechanics, geophysics, geothermal, high-pressure, microfractures, p-wave, processed-data, raw-data, rock-mechanics, s-wave, seismic-anisotropy, stress-ratio, thomsen-parameters, ucsc, ultrasonic-velocity, utah-forge, visualizations
Organization: Department of Energy
Utah FORGE: Well 16B(78)-32 Reinterpretation of Thrubit FMI Log

This dataset contains a reinterpretation of the trip 3, Thrubit FMI log from Utah FORGE well 16B(78)-32, covering measured depths from 6,254 to 10,839 feet. Acquired by Schlumberger on May 23, 2023, this version includes newly interpreted tensile drilling-induced fractures, in addition to previously identified structural and fracture features. The data are formatted in CWLS LAS 3.0 and include labeled measurements such as caliper, borehole azimuth and deviation, bedding dip and azimuth, and attributes of both natural and induced fractures. Users should be familiar with LAS file formats and FMI interpretation methods.

Tags: 16b, 16b78-32, azimuth, borehole-imaging, egs, energy, fmi, fmi-log, fmi-reinterpretation, fracture-analysis, fractures, fromation-microimager, geothermal, induced-fractures, interpreted, processed-data, schlumberger, subsurface-characterization, tensile-fractures, tensile-induceded-fractures, thrubit, thrubit-fmi-log, trip-3-fmi, utah-forge, well
Organization: Department of Energy
NREL GIS data: Bhutan Wind Power Density at 50m Above Ground Level

GIS data for Bhutan's Wind Power Density at 50m Above Ground Level. NREL developed estimates of Bhutans wind resources at a spatial resolution of 1 km^2 using NREL's Wind Resource Assessment and Mapping System (WRAMS). Wind turbine output at a given site can be predicted using wind speed data and the turbine's power curve, which describes the turbines operating power at different wind speeds. Using data found from this analysis, estimates can be made for the best potential locations for wind energy throughout Bhutan.

Tags: 50m, bhutan, data, energy, geospatial, geospatial-vector, gis, map, methodology, processed-data, renewable-energy, resource-mapping, shape-file, wind, wind-power-density
Organization: Department of Energy
Commercial Reference Building: Warehouse

Commercial reference buildings provide complete descriptions for whole building energy analysis using EnergyPlus (see "About EnergyPlus" resource link) simulation software. Included here is data pertaining to the reference building type "Warehouse" for each of the 16 climate zones described on the Wiki page (see "OpenEI Wiki Page for Commercial Reference Buildings" resource link), and each of three construction categories: new (2004) construction, post-1980 construction existing buildings, and pre-1980 construction existing buildings.

The dataset includes four key components: building summary, zone summary, location summary and a picture. Building summary includes details about: form, fabric, and HVAC. Zone summary includes details such as: area, volume, lighting, and occupants for all types of zones in the building. Location summary includes key building information as it pertains to each climate zone, including: fabric and HVAC details, utility costs, energy end use, and peak energy demand.

In total, DOE developed 16 reference building types that represent approximately 70% of commercial buildings in the U.S.; for each type, building models are available for each of the three construction categories. The commercial reference buildings (formerly known as commercial building benchmark models) were developed by the U.S. Department of Energy (DOE), in conjunction with three of its national laboratories.

Additional data is available directly from DOE's Energy Efficiency & Renewable Energy (EERE) website (see "About Commercial Buildings" resource link), including EnergyPlus software input files (.idf) and results of the EnergyPlus simulations (.html).

Note: There have been many changes and improvements since this dataset was released. Several revisions have been made to the models and moved to a different approach to representing typical building energy consumption. For current data on building energy consumption please see the ComStock resource below.

Tags: baseline, benchmark, building, building-efficiency, building-type, buildings, climate-zone, commercial, commercial-buildings, doe, energy, energy-demand, energy-efficiency, energy-use, energyplus, hvac, model, occupancy, post-1980, pre-1980, processed-data, reference, simulation, usage, utility, utility-cost, warehouse
Organization: Department of Energy
Commercial Reference Building: Supermarket

Commercial reference buildings provide complete descriptions for whole building energy analysis using EnergyPlus (see "About EnergyPlus" resource link) simulation software. Included here is data pertaining to the reference building type "Supermarket" for each of the 16 climate zones described on the Wiki page (see "OpenEI Wiki Page for Commercial Reference Buildings" resource link), and each of three construction categories: new (2004) construction, post-1980 construction existing buildings, and pre-1980 construction existing buildings.

The dataset includes four key components: building summary, zone summary, location summary and a picture. Building summary includes details about: form, fabric, and HVAC. Zone summary includes details such as: area, volume, lighting, and occupants for all types of zones in the building. Location summary includes key building information as it pertains to each climate zone, including: fabric and HVAC details, utility costs, energy end use, and peak energy demand.

In total, DOE developed 16 reference building types that represent approximately 70% of commercial buildings in the U.S.; for each type, building models are available for each of the three construction categories. The commercial reference buildings (formerly known as commercial building benchmark models) were developed by the U.S. Department of Energy (DOE), in conjunction with three of its national laboratories.

Additional data is available directly from DOE's Energy Efficiency & Renewable Energy (EERE) website (see "About Commercial Buildings" resource link), including EnergyPlus software input files (.idf) and results of the EnergyPlus simulations (.html).

Note: There have been many changes and improvements since this dataset was released. Several revisions have been made to the models and moved to a different approach to representing typical building energy consumption. For current data on building energy consumption please see the ComStock resource below.

Tags: baseline, benchmark, building, building-efficiency, building-type, buildings, climate-zone, commercial, commercial-buildings, doe, energy, energy-demand, energy-efficiency, energy-use, energyplus, hvac, model, occupancy, post-1980, pre-1980, processed-data, reference, simulation, supermarket, usage, utility, utility-cost
Organization: Department of Energy
Commercial Reference Building: Strip Mall

Commercial reference buildings provide complete descriptions for whole building energy analysis using EnergyPlus (see "About EnergyPlus" resource link) simulation software. Included here is data pertaining to the reference building type "Strip Mall" for each of the 16 climate zones described on the Wiki page (see "OpenEI Wiki Page for Commercial Reference Buildings" resource link), and each of three construction categories: new (2004) construction, post-1980 construction existing buildings, and pre-1980 construction existing buildings.

The dataset includes four key components: building summary, zone summary, location summary and a picture. Building summary includes details about: form, fabric, and HVAC. Zone summary includes details such as: area, volume, lighting, and occupants for all types of zones in the building. Location summary includes key building information as it pertains to each climate zone, including: fabric and HVAC details, utility costs, energy end use, and peak energy demand.

In total, DOE developed 16 reference building types that represent approximately 70% of commercial buildings in the U.S.; for each type, building models are available for each of the three construction categories. The commercial reference buildings (formerly known as commercial building benchmark models) were developed by the U.S. Department of Energy (DOE), in conjunction with three of its national laboratories.

Additional data is available directly from DOE's Energy Efficiency & Renewable Energy (EERE) website (see "About Commercial Buildings" resource link), including EnergyPlus software input files (.idf) and results of the EnergyPlus simulations (.html).

Note: There have been many changes and improvements since this dataset was released. Several revisions have been made to the models and moved to a different approach to representing typical building energy consumption. For current data on building energy consumption please see the ComStock resource below.

Tags: baseline, benchmark, building, building-efficiency, building-type, buildings, climate-zone, commercial, commercial-buildings, doe, energy, energy-demand, energy-efficiency, energy-use, energyplus, hvac, mall, model, occupancy, post-1980, pre-1980, processed-data, reference, simulation, strip-mall, usage, utility, utility-cost
Organization: Department of Energy
Commercial Reference Building: Stand-alone Retail

Commercial reference buildings provide complete descriptions for whole building energy analysis using EnergyPlus (see "About EnergyPlus" resource link) simulation software. Included here is data pertaining to the reference building type "Stand-alone Retail" for each of the 16 climate zones described on the Wiki page (see "OpenEI Wiki Page for Commercial Reference Buildings" resource link), and each of three construction categories: new (2004) construction, post-1980 construction existing buildings, and pre-1980 construction existing buildings.

The dataset includes four key components: building summary, zone summary, location summary and a picture. Building summary includes details about: form, fabric, and HVAC. Zone summary includes details such as: area, volume, lighting, and occupants for all types of zones in the building. Location summary includes key building information as it pertains to each climate zone, including: fabric and HVAC details, utility costs, energy end use, and peak energy demand.

In total, DOE developed 16 reference building types that represent approximately 70% of commercial buildings in the U.S.; for each type, building models are available for each of the three construction categories. The commercial reference buildings (formerly known as commercial building benchmark models) were developed by the U.S. Department of Energy (DOE), in conjunction with three of its national laboratories.

Additional data is available directly from DOE's Energy Efficiency & Renewable Energy (EERE) website (see "About Commercial Buildings" resource link), including EnergyPlus software input files (.idf) and results of the EnergyPlus simulations (.html).

Note: There have been many changes and improvements since this dataset was released. Several revisions have been made to the models and moved to a different approach to representing typical building energy consumption. For current data on building energy consumption please see the ComStock resource below.

Tags: baseline, benchmark, building, building-efficiency, building-type, buildings, climate-zone, commercial, commercial-buildings, doe, energy, energy-demand, energy-efficiency, energy-use, energyplus, hvac, model, occupancy, post-1980, pre-1980, processed-data, reference, retail, simulation, stand-alone-retail, usage, utility, utility-cost
Organization: Department of Energy
Commercial Reference Building: Small Office

Commercial reference buildings provide complete descriptions for whole building energy analysis using EnergyPlus (see "About EnergyPlus" resource link) simulation software. Included here is data pertaining to the reference building type "Small Office" for each of the 16 climate zones described on the Wiki page (see "OpenEI Wiki Page for Commercial Reference Buildings" resource link), and each of three construction categories: new (2004) construction, post-1980 construction existing buildings, and pre-1980 construction existing buildings.

The dataset includes four key components: building summary, zone summary, location summary and a picture. Building summary includes details about: form, fabric, and HVAC. Zone summary includes details such as: area, volume, lighting, and occupants for all types of zones in the building. Location summary includes key building information as it pertains to each climate zone, including: fabric and HVAC details, utility costs, energy end use, and peak energy demand.

In total, DOE developed 16 reference building types that represent approximately 70% of commercial buildings in the U.S.; for each type, building models are available for each of the three construction categories. The commercial reference buildings (formerly known as commercial building benchmark models) were developed by the U.S. Department of Energy (DOE), in conjunction with three of its national laboratories.

Additional data is available directly from DOE's Energy Efficiency & Renewable Energy (EERE) website (see "About Commercial Buildings" resource link), including EnergyPlus software input files (.idf) and results of the EnergyPlus simulations (.html).

Note: There have been many changes and improvements since this dataset was released. Several revisions have been made to the models and moved to a different approach to representing typical building energy consumption. For current data on building energy consumption please see the ComStock resource below.

Tags: baseline, benchmark, building, building-efficiency, building-type, buildings, climate-zone, commercial, commercial-buildings, doe, energy, energy-demand, energy-efficiency, energy-use, energyplus, hvac, model, occupancy, office, post-1980, pre-1980, processed-data, reference, simulation, small-office, usage, utility-cost, utliity
Organization: Department of Energy
Commercial Reference Building: Small Hotel

Commercial reference buildings provide complete descriptions for whole building energy analysis using EnergyPlus (see "About EnergyPlus" resource link) simulation software. Included here is data pertaining to the reference building type "Small Hotel" for each of the 16 climate zones described on the Wiki page (see "OpenEI Wiki Page for Commercial Reference Buildings" resource link), and each of three construction categories: new (2004) construction, post-1980 construction existing buildings, and pre-1980 construction existing buildings.

The dataset includes four key components: building summary, zone summary, location summary and a picture. Building summary includes details about: form, fabric, and HVAC. Zone summary includes details such as: area, volume, lighting, and occupants for all types of zones in the building. Location summary includes key building information as it pertains to each climate zone, including: fabric and HVAC details, utility costs, energy end use, and peak energy demand.

In total, DOE developed 16 reference building types that represent approximately 70% of commercial buildings in the U.S.; for each type, building models are available for each of the three construction categories. The commercial reference buildings (formerly known as commercial building benchmark models) were developed by the U.S. Department of Energy (DOE), in conjunction with three of its national laboratories.

Additional data is available directly from DOE's Energy Efficiency & Renewable Energy (EERE) website (see "About Commercial Buildings" resource link), including EnergyPlus software input files (.idf) and results of the EnergyPlus simulations (.html).

Note: There have been many changes and improvements since this dataset was released. Several revisions have been made to the models and moved to a different approach to representing typical building energy consumption. For current data on building energy consumption please see the ComStock resource below.

Tags: baseline, benchmark, building, building-efficiency, building-size, building-type, buildings, climate-zone, climate-zones, commercial, commercial-buildings, doe, energy, energy-demand, energy-efficiency, energy-use, energyplus, hotel, hvac, model, occupancy, post-1980, pre-1980, processed-data, reference, simulation, small-hotel, usage, utility, utility-cost
Organization: Department of Energy