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Electricity generation/consumption, renewable energy, smart grid, oil/gas, carbon emissions
4,429 datasets
Energy efficiency scores for buildings, similar to MPG ratings for cars, provide transparency for tenants and buyers. The dataset includes metrics like ENERGY STAR scores, greenhouse gas emissions, and energy use intensity for properties in Orlando. It is published by the City of Orlando and was last updated in May 2024.
2.3 million books are included in the original Goodreads dataset, from which this collection of English titles and descriptions is derived. The dataset was uploaded by 'booksouls' to Hugging Face and last updated on June 2, 2024. It is based on research cited from RecSys'18 and related work.
Communal resource consumption data for municipal enterprises, institutions, and organizations in Ukraine. The dataset covers electricity, thermal energy, natural gas, solid fuel, and cold and hot water. It was published by the States site of Ukraine and last updated on June 14, 2024.
Department of Energy's Alternative Fuels Data Center provides a snapshot of fueling station locations for compressed natural gas, ethanol, propane, biodiesel, electric vehicle charging, hydrogen, and liquefied natural gas. The dataset covers the United States and Canada and was current as of July 29, 2021.
An audio recording from an oil mill master explaining the phases of olive harvesting and oil production. The informant details both traditional and modern systems and compares them with Portuguese production methods. The recording was made in an operational oil mill in 2024, with audio filtered to reduce machine noise.
An audio recording of an interview with Miguel Carrasco, conducted in an operational oil mill. The recording focuses on contact and relations with Portugal and the language used there. The audio has been filtered to reduce machine noise, which may have affected volume and tonal quality. The dataset was coordinated by Álvarez Pérez, Xosé Afonso and last updated on May 5, 2024.
Hermanas Rivero y Miguel Ángel Vallecillo Teodoro (Olivenza). Guerra civil y represión is a dataset coordinated by Álvarez Pérez, Xosé Afonso and harvested by e-cienciaDatos. The description details repression in the post-war period, including assassinations, head-shaving, purging with castor oil, escapes, and rationing. It was last updated on May 5, 2024.
Clandestine grinding of wheat was conducted to avoid guards, as described in this oral history. The dataset, coordinated by Álvarez Pérez, Xosé Afonso, details the agricultural cycle from soil preparation to bread baking. It was last updated on the dataverse platform in May 2024.
An ethnographic interview with a source from Esperança, conducted by Álvarez Pérez, Xosé Afonso. The recording covers traditional agricultural cycles and practices, including cereal harvesting, milling, bread-making, wine preparation, and olive oil production, with discussion on the impact of mechanization. The dataset was last updated on May 5, 2024.
An oral history record describing traditional and modern olive harvesting and oil production methods. The description mentions a historical harvest duration of 3 months until San Blas (February 3rd), now reduced to 3-4 weeks, and notes changes in transportation and social interaction. The dataset was coordinated by Álvarez Pérez, Xosé Afonso and harvested into the e-cienciaDatos Dataverse on 2024-05-05.
The National Highway Traffic Safety Administration's Corporate Average Fuel Economy (CAFE) program data tracks manufacturer compliance with U.S. fuel economy standards for passenger cars and light trucks. Data includes metrics like miles per gallon (mpg), credits, and civil penalties, updated periodically by NHTSA. The information supports analysis of energy consumption trends and regulatory enforcement.
An interview with Julio Rueda from La Bouza, Spain, explaining traditional methods for obtaining flour, making bread, and producing oil and wine. The dataset is an audio recording harvested by e-cienciaDatos and was last updated on May 5, 2024. The coordinator of the work is Álvarez Pérez, Xosé Afonso.
Three modeled scenarios (low, medium, high) forecast ~60,000 to ~430,000 new well pads could be constructed in the Permian Basin by 2050, causing ~1,000 to ~6,700 km² of direct landscape alteration. This dataset, authored by Pierre, Jon Paul and harvested from the Texas Data Repository, was last updated on March 18, 2024. The projections are based on trends from 2008 to 2017 and are intended to inform proactive land management and conservation strategies.
The Hydrodynamic Oil Spill–Python (HyosPy) system is an integrated modeling framework for predicting oil spill trajectories and generating probability maps. The system combines multiple hydrodynamic and oil spill models, driven by real-time forecast data, and has been tested and validated for Galveston Bay. This report represents the culmination of a decade of work funded by TGLO, beginning in 2009, to develop an advanced simulation system for Texas bays and estuaries.
The Texas Soil Observation Network (TxSON) provides a four-year dataset of hourly soil moisture and temperature from 40 monitoring stations in a 1300 km2 area near Fredericksburg, Texas. Data includes volumetric water content and temperature measured at four depths, plus precipitation and meteorological variables. The dataset was created by Tara Bongiovanni and last updated in March 2024.
Offshore petroleum licensees must decommission wells in a timely and cost-efficient way. The dataset likely contains locations and statuses of suspended or inactive wells, as governed by the NSTA's guidance. It was published by the Government Digital Service and last updated on 2024-01-25.
Soil data collected by Sol Cooperdock for his MS thesis research at the University of Texas at Austin. The study compares soils in areas near Bastrop, Texas, that were unburned, burned in 2011, burned in 2015, or burned in both fires. The dataset was last updated on March 18, 2024.
Four data files from a 2021 AAPG Bulletin paper by R.S. Gao provide input, calibration, and results for a flow model. The model examines low pressure build-up from large-volume oilfield water disposal in the Ellenburger Group of the Fort Worth Basin, North-Central Texas. Data is hosted by the Texas Data Repository and was last updated in March 2024.
Le, Me-Linh provides the full search strategies used for a systematic review titled 'Practice Variation in Urine Collection Methods Among Pre-Toilet Trained Children with Suspected Urinary Tract Infection'. The dataset contains the exact queries run across MEDLINE, EMBASE, PsycInfo, CENTRAL, JBI, CINAHL, Scopus, Web of Science, ClinicalTrials.gov, and the WHO ICTRP on October 10, 2021 and May 24, 2023.
A dataset describing crude oil fluid properties under specific reservoir conditions. The data, authored by Yujing Du and hosted by the Texas Data Repository, was last updated on March 18, 2024. It focuses on crude oil as the fluid in place, with a low capillary number and no fracture status, designated as M1.