65 datasets found
  1. T

    Crude Oil - Price Data

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jul 11, 2025
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    TRADING ECONOMICS (2025). Crude Oil - Price Data [Dataset]. https://tradingeconomics.com/commodity/crude-oil
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    csv, json, xml, excelAvailable download formats
    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Mar 30, 1983 - Jul 11, 2025
    Area covered
    World
    Description

    Crude Oil rose to 68.75 USD/Bbl on July 11, 2025, up 3.27% from the previous day. Over the past month, Crude Oil's price has risen 1.04%, but it is still 16.37% lower than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Crude Oil - values, historical data, forecasts and news - updated on July of 2025.

  2. T

    Brent crude oil - Price Data

    • tradingeconomics.com
    • zh.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated May 27, 2017
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    TRADING ECONOMICS (2017). Brent crude oil - Price Data [Dataset]. https://tradingeconomics.com/commodity/brent-crude-oil
    Explore at:
    xml, csv, excel, jsonAvailable download formats
    Dataset updated
    May 27, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Apr 15, 1970 - Jul 14, 2025
    Area covered
    World
    Description

    Brent rose to 70.45 USD/Bbl on July 14, 2025, up 0.12% from the previous day. Over the past month, Brent's price has fallen 3.80%, and is down 16.98% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Brent crude oil - values, historical data, forecasts and news - updated on July of 2025.

  3. OPEC oil price annually 1960-2025

    • statista.com
    • ai-chatbox.pro
    Updated Mar 15, 2025
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    Statista (2025). OPEC oil price annually 1960-2025 [Dataset]. https://www.statista.com/statistics/262858/change-in-opec-crude-oil-prices-since-1960/
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    Dataset updated
    Mar 15, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    The 2025 annual OPEC basket price stood at ***** U.S. dollars per barrel as of June. This would be lower than the 2024 average, which amounted to ***** U.S. dollars. The abbreviation OPEC stands for Organization of the Petroleum Exporting Countries and includes Algeria, Angola, Congo, Equatorial Guinea, Gabon, Iraq, Iran, Kuwait, Libya, Nigeria, Saudi Arabia, Venezuela, and the United Arab Emirates. The aim of the OPEC is to coordinate the oil policies of its member states. It was founded in 1960 in Baghdad, Iraq. The OPEC Reference Basket The OPEC crude oil price is defined by the price of the so-called OPEC (Reference) basket. This basket is an average of prices of the various petroleum blends that are produced by the OPEC members. Some of these oil blends are, for example: Saharan Blend from Algeria, Basra Light from Iraq, Arab Light from Saudi Arabia, BCF 17 from Venezuela, et cetera. By increasing and decreasing its oil production, OPEC tries to keep the price between a given maxima and minima. Benchmark crude oil The OPEC basket is one of the most important benchmarks for crude oil prices worldwide. Other significant benchmarks are UK Brent, West Texas Intermediate (WTI), and Dubai Crude (Fateh). Because there are many types and grades of oil, such benchmarks are indispensable for referencing them on the global oil market. The 2025 fall in prices was the result of weakened demand outlooks exacerbated by extensive U.S. trade tariffs.

  4. Weekly oil prices in Brent, OPEC basket, and WTI futures 2020-2025

    • statista.com
    • ai-chatbox.pro
    Updated Jul 8, 2025
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    Statista (2025). Weekly oil prices in Brent, OPEC basket, and WTI futures 2020-2025 [Dataset]. https://www.statista.com/statistics/326017/weekly-crude-oil-prices/
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    Dataset updated
    Jul 8, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 6, 2020 - Jul 7, 2025
    Area covered
    Worldwide
    Description

    On July 7, 2025, the Brent crude oil price stood at 69.62 U.S. dollars per barrel, compared to 67.93 U.S. dollars for WTI oil and 69.92 U.S. dollars for the OPEC basket. Prices rose slightly that week, following signs of an increase in demand.Europe's Brent crude oil, the U.S. WTI crude oil, and OPEC's basket are three of the most important benchmarks used by traders as reference for oil and gasoline prices. Lowest ever oil prices during coronavirus pandemic In 2020, the coronavirus pandemic resulted in crude oil prices hitting a major slump as oil demand drastically declined following lockdowns and travel restrictions. Initial outlooks and uncertainty surrounding the course of the pandemic brought about a disagreement between two of the largest oil producers, Russia and Saudi Arabia, in early March. Bilateral talks between global oil producers ended in agreement on April 13th, with promises to cut petroleum output and hopes rising that these might help stabilize the oil price in the coming weeks. However, with storage facilities and oil tankers quickly filling up, fears grew over where to store excess oil, leading to benchmark prices seeing record negative prices between April 20 and April 22, 2020. How crude oil prices are determined As with most commodities, crude oil prices are impacted by supply and demand, as well as inventories and market sentiment. However, as oil is most often traded in future contracts (whereby a contract is agreed upon, while the product delivery will follow in the next two to three months), market speculation is one of the principal determinants for oil prices. Traders make conclusions on how production output and consumer demand will likely develop over the coming months, leaving room for uncertainty. Spot prices differ from futures in so far as they reflect the current market price of a commodity.

  5. T

    Heating oil - Price Data

    • tradingeconomics.com
    • zh.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jul 14, 2013
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    TRADING ECONOMICS (2016). Heating oil - Price Data [Dataset]. https://tradingeconomics.com/commodity/heating-oil
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    excel, csv, xml, jsonAvailable download formats
    Dataset updated
    Jul 14, 2013
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 2, 1980 - Jul 15, 2025
    Area covered
    World
    Description

    Heating Oil fell to 2.37 USD/Gal on July 15, 2025, down 0.96% from the previous day. Over the past month, Heating Oil's price has fallen 3.34%, and is down 4.06% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Heating oil - values, historical data, forecasts and news - updated on July of 2025.

  6. F

    Crude Oil Prices: Brent - Europe

    • fred.stlouisfed.org
    json
    Updated Jun 18, 2025
    + more versions
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    (2025). Crude Oil Prices: Brent - Europe [Dataset]. https://fred.stlouisfed.org/series/DCOILBRENTEU
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    jsonAvailable download formats
    Dataset updated
    Jun 18, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Crude Oil Prices: Brent - Europe (DCOILBRENTEU) from 1987-05-20 to 2025-06-16 about crude, oil, Europe, commodities, and price.

  7. T

    Palm Oil - Price Data

    • tradingeconomics.com
    • fa.tradingeconomics.com
    • +14more
    csv, excel, json, xml
    Updated Jul 11, 2025
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    TRADING ECONOMICS (2025). Palm Oil - Price Data [Dataset]. https://tradingeconomics.com/commodity/palm-oil
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    csv, excel, json, xmlAvailable download formats
    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Oct 23, 1980 - Jul 11, 2025
    Area covered
    World
    Description

    Palm Oil rose to 4,175 MYR/T on July 11, 2025, up 0.68% from the previous day. Over the past month, Palm Oil's price has risen 8.72%, and is up 6.67% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Palm Oil - values, historical data, forecasts and news - updated on July of 2025.

  8. d

    Data Sets from the National Crude Oil Spill Fate and Natural Attenuation...

    • catalog.data.gov
    • data.usgs.gov
    Updated Jul 6, 2024
    + more versions
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    U.S. Geological Survey (2024). Data Sets from the National Crude Oil Spill Fate and Natural Attenuation Research Site near Bemidji, Minnesota, USA (ver. 3.0, April 2020) [Dataset]. https://catalog.data.gov/dataset/data-sets-from-the-national-crude-oil-spill-fate-and-natural-attenuation-research-site-nea
    Explore at:
    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Bemidji, Minnesota, United States
    Description

    This U.S. Geological Survey (USGS) Data Release provides data from samples and measurements completed at the National Crude Oil Spill Fate and Natural Attenuation Research Site near Bemidji, Minnesota (Site) since 1983. This is version 3.0 of this data release, and it now contains 11 data sets. The content of these data sets include inorganic and organic chemistry data from water, oil, and sediment samples, hydraulic conductivity data from well slug tests, sediment grain-size distribution data from core samples, and water- and oil-level data. Most of these data sets have been described in previously published peer-reviewed reports. This data release provides data sets that were not included with the original publications in a tabular, database-ready format. Each result value in the data sets is coded to describe the kind of sample collected, the material that was analyzed, the method of analysis, and the publication where the value was originally published. Some sample codes are taken from the U.S. Geological Survey's National Water Information System (NWIS, https://waterdata.usgs.gov/nwis) and the remaining codes were developed specifically for Site data. Data dictionaries containing code definitions are available at a companion data release titled "Sampling site information, well construction details, and data dictionaries for data sets associated with the National Crude Oil Spill Fate and Natural Attenuation Site near Bemidji, Minnesota", available at https://doi.org/10.5066/F7736PDR. The National Crude Oil Spill Fate and Natural Attenuation Research Site is located where a high-pressure pipeline carrying crude oil burst in 1979 and spilled approximately 1.7 million liters (10,700 barrels) of crude oil into glacial outwash deposits. Since 1983, scientists with the U.S. Geological Survey, in collaboration with scientists from academic institutions, industry, and the regulatory community have conducted extensive investigations of multiphase flow and transport, volatilization, dissolution, geochemical interactions, microbial populations, and biodegradation with the goal of providing an improved understanding of the natural processes limiting the extent of hydrocarbon contamination. Long-term field studies at Bemidji have illustrated that the fate of hydrocarbons evolves with time, and a snap-shot study of a hydrocarbon plume may not provide information that is of relevance to the long-term behavior of the plume during natural attenuation. The research at the site has been supported primarily by the U.S. Geological Survey's Toxic Substances Hydrology Program.

  9. T

    Urals Oil - Price Data

    • tradingeconomics.com
    • pt.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 27, 2022
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    TRADING ECONOMICS (2022). Urals Oil - Price Data [Dataset]. https://tradingeconomics.com/commodity/urals-oil
    Explore at:
    csv, json, excel, xmlAvailable download formats
    Dataset updated
    Jun 27, 2022
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jun 22, 2012 - Jul 11, 2025
    Area covered
    World
    Description

    Urals Oil rose to 66.46 USD/Bbl on July 11, 2025, up 2.31% from the previous day. Over the past month, Urals Oil's price has risen 2.96%, but it is still 18.42% lower than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. This dataset includes a chart with historical data for Urals Crude.

  10. M

    Brent Crude Oil Prices

    • macrotrends.net
    csv
    Updated Jun 30, 2025
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    MACROTRENDS (2025). Brent Crude Oil Prices [Dataset]. https://www.macrotrends.net/2480/brent-crude-oil-prices-10-year-daily-chart
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    1915 - 2025
    Area covered
    United States
    Description

    Interactive daily chart of Brent (Europe) crude oil prices over the last ten years. Values shown are daily closing prices.

  11. T

    Sunflower Oil - Price Data

    • tradingeconomics.com
    • de.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jul 3, 2025
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    TRADING ECONOMICS (2025). Sunflower Oil - Price Data [Dataset]. https://tradingeconomics.com/commodity/sunflower-oil
    Explore at:
    excel, csv, json, xmlAvailable download formats
    Dataset updated
    Jul 3, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    May 25, 2012 - Jul 14, 2025
    Area covered
    World
    Description

    Sunflower Oil rose to 1,245.50 INR/10 kg on July 14, 2025, up 0.61% from the previous day. Over the past month, Sunflower Oil's price has fallen 3.04%, but it is still 37.43% higher than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. This dataset includes a chart with historical data for Sunflower Oil.

  12. f

    An enhanced global oil spill dataset from 1967 to 2023 based on text-form...

    • figshare.com
    xlsx
    Updated Jun 10, 2025
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    Yiming Liu; Hua Cai (2025). An enhanced global oil spill dataset from 1967 to 2023 based on text-form incident information [Dataset]. http://doi.org/10.6084/m9.figshare.26031487.v1
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    xlsxAvailable download formats
    Dataset updated
    Jun 10, 2025
    Dataset provided by
    figshare
    Authors
    Yiming Liu; Zhuoli Yin; Hua Cai
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This project presents an enhanced version of the oil spill database, originally based on IncidentNews maintained by NOAA's Office of Response and Restoration (ORR). The primary limitation of the original dataset is the absence of actual release amounts (RA), only providing potential maximum estimates, which might not reflect real situations. Our enhanced database addresses this gap by adding structured data regarding the actual RA extracted using NLP tools from incident descriptions and related posts.We added three new columns: "actual RA,", "RA source", and "update label" to the original dataset. The "actual RA" column lists the final incident-level RA determined from processing the textual description and post information. The "RA source" column specifies whether the final RA value was determined based on “description”, “posts”, or “description and posts”. The "update label" column notes the relationship between the actual RA and the original potential maximum release value.The code and raw data used to generate this dataset can be found in a separate project.

  13. m

    Data for: Raman and Infrared Spectroscopic Analysis: Classification and...

    • data.mendeley.com
    Updated May 28, 2024
    + more versions
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    William Gilbraith (2024). Data for: Raman and Infrared Spectroscopic Analysis: Classification and Peroxide Value Prediction of Naturally Aged Edible Oils [Dataset]. http://doi.org/10.17632/ctgg7k4m5g.2
    Explore at:
    Dataset updated
    May 28, 2024
    Authors
    William Gilbraith
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The provided dataset includes information on edible oil samples collected from grocery stores in and around Newark, Delaware, between the summer of 2014 and the spring of 2016. A total of 100 oil bottles were obtained, and three different data sets were created.

    Data Set 1 contains measurements from all 100 samples and was obtained using NIR, MIR, and Raman spectroscopic techniques. The peroxide values (PVs) of the samples were determined through titration at Lawrence Livermore National Laboratory. Data Set 1 is divided into two subgroups: Data Set 1A, measured in 2016, and Data Set 1B, measured in 2019.

    Data Set 2 is a subset of Data Set 1, consisting of 53 oil samples. These samples were measured using Raman spectroscopy and titrated to determine the PV at the University of Delaware.

    Data Set 3 is another subset of Data Set 1, comprising 356 IR spectra of 20 varieties of edible oils as well as 120 spectra of extra virgin olive oil that has been adulterated by corn oil, canola oil or almond oil. These samples were measured using ATR-FTIR spectroscopy at 4 cm^-1 resolution at Oklahoma State University. Data Set 3 includes pure oil samples as well as adulterated oil samples, specifically adulterated extra virgin olive oil (EVOO) with corn oil, canola oil, or almond oil.

    The measurement techniques and parameters varied for each data set. NIR spectra were acquired using FTIR spectrometers with different optical path lengths, MIR spectra were collected using a liquid nitrogen-cooled mercury cadmium telluride (MCT) detector, and Raman spectra were obtained with different Raman probes and lasers. The spectroscopic measurements were complemented with titration measurements to determine the PVs.

    The dataset is provided as individual csv files for each type of spectroscopy, with the first two columns capturing class and corresponding peroxide value for the spectrum and the top row capturing the wavelength range of the spectra.

    Note: There are a few instances where replicates were not taken or certain samples were replaced with NaN variables to maintain the proper matrix dimensions.

  14. g

    Chemical concentrations in sediment data before and after oil exposure dates...

    • data.griidc.org
    Updated Oct 16, 2020
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    Helena Solo-Gabriele (2020). Chemical concentrations in sediment data before and after oil exposure dates in sandy and muddy regions along the Gulf of Mexico (252 different chemicals) [Dataset]. http://doi.org/10.7266/2SQ67RAZ
    Explore at:
    Dataset updated
    Oct 16, 2020
    Dataset provided by
    GRIIDC
    Authors
    Helena Solo-Gabriele
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Description

    This is a dataset containing the coast types and oil exposure dates along the Gulf of Mexico from longitude -97 to -83. Based on these information, the chemical concentrations before and after the oil exposure dates in sandy and muddy regions are also included. For each chemical and region, there is a concentration value before the exposure date and a concentration value after the exposure date.

    The original chemical concentration data is also included in this dataset. The original data is processed from BP and EPA sampling data. There are 252 separate sheets for 252 different chemicals. The sampling dates were from April 2010 to June 2012.

    This dataset is a result of estimating the chemical concentration changes before and after the oil exposure dates and the oil impact for different regions for BEACHES project.

  15. d

    Amplify Energy Dataset

    • dataone.org
    Updated Sep 24, 2024
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    Hall, Nancy (2024). Amplify Energy Dataset [Dataset]. http://doi.org/10.7910/DVN/MVGDTL
    Explore at:
    Dataset updated
    Sep 24, 2024
    Dataset provided by
    Harvard Dataverse
    Authors
    Hall, Nancy
    Description

    Amplify Energy has been written three times before and the previous write-ups and related comments give a good overview of the history of the Company and the quality of its asset base. DO EM GO’s write up in October 2020 was particularly well timed and the stock is up over 8X since that time, however the enterprise value is only 20% higher. Ray Palmer wrote it up in April of 2022 and the stock is up 12% since then but the enterprise value is 20% lower. The muted change in enterprise value has occurred as the Company has paid down over $100MM of debt while extending its reserve to production ratio. I believe the stock is cheaper and more derisked now than it has ever been (less than 1X debt/EBITDA) and on the cusp of major catalysts over the next 3-6 months that will uncover the tremendous value of Amplify’s assets. This write-up will focus specifically on two items which we believe haven’t been fully flushed out and create a path to significant cash flow inflection and share price gains which I expect to be above and beyond what has been discussed so far: 1) clarity on the enormous value of Beta and 2) specific actions planned by management to realize the massive undervaluation of its asset base. COMPANY OVERVIEW Amplify’s assets are mature properties that are generally past the higher decline stages typically characterized by newer production. Its production decline rate is only ~6% per year for the next decade, translating to a less capital-intensive business relative to most E&P companies, especially those in the unconventional/shale business that can have corporate decline rates of 25%-35%+. Amplify is more resilient against commodity price volatility and provides for higher FCF. This FCF is highly predictable with 85%-90% hedged for natural gas until year end 2025 and 45%-50% in 2026. The oil hedge position in 70-75% for 2024, 45%-50% in 2025 and 10-15% in 2026. A screenshot of a map Description automatically generated As the slide below shows, the Company is quite cheap based on its current proved, producing assets even with fairly draconian long term commodity price assumptions. The PV 10 analysis is very sensitive to long term strip prices, which for oil prices is currently in the mid $60s, however, I am of the opinion that long term prices will trend higher not lower in the long term. This undervaluation, however, is even more severe when one considers that the Beta PV10 is dinged for decommissioning liabilities that may be delayed by decades as discussed later. Based on a FCF valuation, the Company has guided to $20-$40 million of FCF in 2024 after $33-$40 million of growth expenditures. FCF yield to equity at midpoint is 12% with fully loaded capex and 27%, excluding Beta related growth capex. Amplify is one of the longest reserve lives and highest free cash flow yielding energy Company in my universe based on the just the existing asset base. A screenshot of a screen Description automatically generated THE BETA OPPORTUNITY The following slide gives an overview of the Beta asset: A map of oil and gas waters Description automatically generated Beta is a world-class oilfield initially discovered and developed by Shell in the 1980’s drilling low angle wells through the massive, highly permeable, stacked sandstones. The last significant drilling program in the asset consisted of 7 wells drilled by Amplify’s predecessor company. Three of these wells were drilled horizontally targeting the D-Sand and delivered 1st year average production of approximately 350 gross Bopd per well. The current development plan is designed to sidetrack out of existing, shut-in wells and horizontally target the D-Sand, utilizing the latest in rotary steerable and mapping well drilling technology to optimally place wells in areas with the highest remaining oil saturation. The Beta field has the potential to be a large growth asset for decades as there are still significant resources remaining to be recovered. The original oil in place estimates of the field range from 600 million to 1 billion barrels of oil and, with only approximately 100 million barrels recovered to date, the implied recovery factor is only between 11 to 16%. There are many analogue fields in the southern California basin with very similar reservoir properties that have recovered between 30 to 40% of the original oil in place. Implication being that there is 70 million to 260 million barrels of recoverable oil in place with the midpoint of estimates being 165 million barrels. These analogous fields generally have much tighter well spacing compared to the Beta field, which presents the opportunity for significant infill drilling. The key for faster drilling is to get your website indexed instantly by Google. BETA ECONOMICS AND VALUE The Company plans to increase production from Beta starting this year and 66% of its $50-$60 million 2024 capex budget is allocated to the Beta development and one time Beta facility upgrade. The remainder of the budget,...

  16. f

    A comprehensive inventory of 1000 organic compounds reported in bio-oil:...

    • usn.figshare.com
    txt
    Updated Jun 24, 2024
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    Zahir Barahmand (2024). A comprehensive inventory of 1000 organic compounds reported in bio-oil: classification and economic valuation [Dataset]. http://doi.org/10.23642/usn.25776879.v2
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    txtAvailable download formats
    Dataset updated
    Jun 24, 2024
    Dataset provided by
    University of South-Eastern Norway
    Authors
    Zahir Barahmand
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    As a supplementary material for an original paper, this inventory contains a comprehensive list of 1,000 organic chemicals identified in bio-oil, meticulously catalogued to facilitate research and analysis. Each chemical is systematically classified into specific categories and subcategories based on structural and functional characteristics. Additionally, a value level ranging from 1 to 5 is assigned to each chemical to denote its economic value based on value pyramid of bio-product concept. This document serves as a supplementary material for different papers in peer-review journals. Moreover, this resource is designed to provide researchers and industry professionals with a detailed and accessible reference for understanding the diversity and potential applications of chemicals derived from bio-oil.

  17. T

    Saudi Arabia Crude Oil Production

    • tradingeconomics.com
    • zh.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, Saudi Arabia Crude Oil Production [Dataset]. https://tradingeconomics.com/saudi-arabia/crude-oil-production
    Explore at:
    excel, json, xml, csvAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 31, 1973 - May 31, 2025
    Area covered
    Saudi Arabia
    Description

    Crude Oil Production in Saudi Arabia increased to 9184 BBL/D/1K in May from 9005 BBL/D/1K in April of 2025. This dataset provides the latest reported value for - Saudi Arabia Crude Oil Production - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  18. W

    Shale oil value enhancement research. Quarterly report, October 1,...

    • cloud.csiss.gmu.edu
    • data.wu.ac.at
    html
    Updated Aug 8, 2019
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    Energy Data Exchange (2019). Shale oil value enhancement research. Quarterly report, October 1, 1993--December 31, 1993 [Dataset]. https://cloud.csiss.gmu.edu/uddi/dataset/shale-oil-value-enhancement-research-quarterly-report-october-1-1993-december-31-1993
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    htmlAvailable download formats
    Dataset updated
    Aug 8, 2019
    Dataset provided by
    Energy Data Exchange
    Description

    The first year of this effort was focussed on the following broad objectives: (1) Analyze the molecular types present in shale oil (as a function of molecular weight distribution,3147 ); (2) Determine the behavior of these molecular types in liquid-liquid extraction; (3) Develop the analytical tools needed to systematize the process development; (4) Survey the markets to assure that these have high value uses for the types found in shale oil; (5) Explore selective process means for extracting/converting shale oil components into concentrates of potentially marketable components; (6) Compile overview of the venture development strategy and begin implementation of that strategy. Each of these tasks has been completed in sufficient detail that we can now focus on filling in the knowledge gaps evident from the overview.

  19. a

    SPOTT featured company concessions

    • hub.arcgis.com
    Updated Feb 20, 2017
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    World Wide Fund for Nature (2017). SPOTT featured company concessions [Dataset]. https://hub.arcgis.com/datasets/3b28b8bcc5144cb685eb397979ea602f
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    Dataset updated
    Feb 20, 2017
    Dataset authored and provided by
    World Wide Fund for Nature
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    DescriptionPalm oil mills: The data comes from FoodReg’s Known Sources palm oil mill database and directly from palm oil traders and buyers. The data represents the mills within the supply chain of at least three major palm oil buyers who wish to remain anonymous. The data does not represent the entire universe of mills, and is only representative of the mills within the supply chains of companies submitting mill data to WRI or Known Sources. The location of mills was self-reported by mill owners. All mill locations were manually verified by WRI using Google Earth imagery according to criteria for mill infrastructure including the presence of buildings, settling ponds, and nearby palm oil plantations. Mills may have duplicate names when site-level name data is missing and group name information is included. The data will be updated as new data becomes available to WRI or Known Sources.Oil palm concessions (select countries): refers to an area allocated by a government or other body for industrial-scale oil palm plantations.The oil palm concession data on GFW, while displayed as a single layer, is assembled on a country-by-country basis from multiple sources.Oil palm concession data displayed on the GFW website vary from country to country by date and data sources. Data may come from government agencies, NGOs, or other organizations. Includes:Liberia oil palm concessions: refers to an area allocated by a government or other body for industrial-scale oil palm plantations.The oil palm concession data on GFW, while displayed as a single layer, is assembled on a country-by-country basis from multiple sources.Oil palm concession data displayed on the GFW website vary from country to country by date and data sources. Data may come from government agencies, NGOs, or other organizations. This data set provides the boundaries of known oil palm plantations for Liberia and was compiled by Global Witness from available government maps. Information provided with this data set includes company, ownership group, and land area.Cameroon agro-industrial zones: This data layer shows the boundaries of agro-industrial zones, where oil palm and rubber tree plantations, as well as other crops, may be established. In Cameroon, industrial agriculture falls outside of the National Forest Estate. Agricultural plantations are allocated by the Ministry of Economy and Planning to private entities under long-term, renewable contracts, which are then monitored by the Ministry of Agriculture. The agro-industrial data set was mapped using satellite imagery, with ground-truthing to determine the crop type and operating company. Official documentation was often lacking, so boundaries should be considered approximate and nonexhaustive.Republic of the Congo oil palm concessions: This data set provides the boundaries for oil palm plantations according to the Republic of the Congo Ministry of Agriculture. Indonesia oil palm concessions: Oil palm concession refers to an area allocated by a government or other body for industrial-scale oil palm plantations. The oil palm concession data on GFW, while displayed as a single layer, is assembled on a country-by-country basis from multiple sources. Oil palm concession data displayed on the GFW website vary from country to country by date and data sources. Data may come from government agencies, NGOs, or other organizations.This data set, produced by the Indonesia Ministry of Forestry, provides the boundaries of current or planned oil palm plantations in Indonesia. This data set is known to be incomplete, but it is currently the best available. RSPO palm oil mills: this data layer displays plantation management units (PMU) certified under RSPO through May, 2013. These data are arranged by company group holding the majority shareholding in each unit.RSPO oil palm concessions (Brazil, Indonesia, Cambodia, Malaysia, Papua New Guinea and Thailand): The RSPO concession boundaries were produced by member companies and compiled by Aidenvironment.org. Other data is included from Annual Surveillance Assessments provided by the RSPO as well as third-party audit reports screened by Aidenvironment.org. SPOTT featured company concessions: SPOTT-Sustainability Policy Transparency Toolkit is an online platform supporting sustainable commodity production and trade. This database summarizes some assessments of palm oil producers and traders in relation to its operations and commitments related to environmental, social and governance (ESG) issues. RTRS Guides for Responsible Soy Expansion: The Round Table on Responsible Soy (RTRS) is a civil society organization that promotes the production, processing and marketing of responsible soy globally. It aims to promote sustainable production to reduce the social and environmental impacts of soybeans. The RTRS Responsible Soy Production Map is created based on RTRS Standards, and is intended to guide responsible expansion of soybean production for RTRS certification. The RTRS committed to create macro-scale maps for Argentina, Brazil, Bolivia, and Paraguay to identify and preserve critical ecosystems and High Conservation Value Areas (HCVAs), as well as identify opportunities for responsible expansion of soy with low levels of environmental impact. The process began in Brazil in 2012, followed by Paraguay in 2013. Additional national level maps (e.g. Argentina) are in development. These national maps are created by RTRS National Technical Groups in each country, with experts representing all levels of the supply chain to interpret the global methodology at the national level. Each group was led by local coordinators and supported by GIS companies and consultative groups, as well as BACP (IFC), IDH, 3Fi, WWF and The Gordon and Betty Moore Foundation, the principal funders of this project. The guides were developed according to Annex 4: RTRS approach to responsible conversion, page 20, of the RTRS Production Standard. The macro-scale maps show the four different categories described in Guide 4 of the Standard, and the High Conservation Value Areas assessment guides for determination and management of HCVAs. Date of update and consistency on attributes might differ as the layer is a compilation of concession data from various countries and sources. LimitationsDate of update and consistency on attributes might differ as the layers are a compilation of data from various countries and sources. CreditsPalm Oil Mills, RSPO Palm Oil Mills and Oil Palm ConcessionsGlobal Forest Watch - Data may come from government agencies, NGOs or other organizations. Accessed through GFW portal http://data.globalforestwatch.org/datasetsSPOTT featured company concessions Zoological Society of London - using data provided by Global Forest Watch from the World Resources Institute (WRI). Accessed through GFW portal http://data.globalforestwatch.org/datasetsRSTRS Guides for Responsible Soy ExpansionRound Table on Responsible Soy (RTRS). Accessed through GFW portal http://data.globalforestwatch.org/datasetsAttributesPalm Oil Millsobjectid: Assigned by WWF. Unique identifierwri_id: World Resources Institute identifiermill_name_: Name of the assetgroup_name: Name of the company operating the palm oil milliso: ISO-Alpha 3 code for the country where the mill is located. Cross-reference herecertificat: Indicates if the mill has RSPO certificationcompany_na: Name of the company operating the millglobalid: Global Forest Watch identifierx: X location in the original coordinate system of the database (WGS 1984)y: Y location in the original coordinate system of the database (WGS 1984)Oil Palm ConcessionsOBJECTID: Assigned by WWF. Unique identifierCountry: Country where the oil palm concession is locatedName: Local name of the company operating in the concessionCompany: International name of the company operating in the concessionGroup: International name of the companySub Group: Regional name of the company if appliesGroup ID: Assigned by GFW. Identifier for the Group company. Concession Type: Type of permission associated to the concessionGIS Calculated Area (ha): Reported area of the concession in hectaresSource: Original source of the concession dataLast Update: Last update of the information in the original databaseGFW ID: Global Forest Watch identifierRSPO Palm Oil MillsOBJECTID: Assigned by WWF. Unique identifierlongitude: Longitude in the original coordinate system of the database (WGS 1984)audit_stat: State of the certification process (Initial, renewal)legal_radi: Indicates werther the palm oil mill is located within a radius of up to 10 km from the palm oil concessions (Yes: 1, No: 0)illegal_ra: Indicates werther the palm oil mill is located within a radius of up to 10 km from the palm oil concessions (Yes: 0 or 1, Any other number reflects the distance in km*100)radius_umdradius_for: Presumably an indicator of the distance from the mill to the forests in the area of influenceprimary_in: Presumably an indicator of the primary forest in the areaprimary_1: Presumably an indicator of the primary forest in the areacarbon_rad: Presumably an indicator of the amount of carbon storage in the ecosystems in the area of influence (forest, peatlands, etcetera) peat_radiu: Presumably an indicator of the distance from the mill to peat lands in the area of influence peat_area_: Presumably an indicator of the area of the peatlands in the area of influencefires_radi: Presumably an indicator of the distance within the mill and identified fires in the area of influenceillegal_1: Presumably an indicator that classifies qualitatively the attribute fires_radi (low, high, medium)radius_u_1: Presumably an indicator that classifies qualitatively the attribute radius_umd (low, high, medium)radius_f_1: Presumably an indicator that classifies qualitatively the attribute radius_for (low, high, medium)primary_2: Presumably an indicator that classifies qualitatively the attribute primary_in (low, high, medium)primary_3: Presumably

  20. Advanced: Saudi Arabian Aramco Stocks Dataset 🐪

    • kaggle.com
    Updated May 3, 2024
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    Azhar Saleem (2024). Advanced: Saudi Arabian Aramco Stocks Dataset 🐪 [Dataset]. https://www.kaggle.com/datasets/azharsaleem/advanced-saudi-arabian-aramco-stocks-dataset/data
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 3, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Azhar Saleem
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Area covered
    Saudi Arabia
    Description

    Saudi Arabian Oil Company Aramco, Stocks

    👨‍💻 Author: Azhar Saleem

    "https://github.com/azharsaleem18" target="_blank"> https://img.shields.io/badge/GitHub-Profile-blue?style=for-the-badge&logo=github" alt="GitHub Profile"> "https://www.kaggle.com/azharsaleem" target="_blank"> https://img.shields.io/badge/Kaggle-Profile-blue?style=for-the-badge&logo=kaggle" alt="Kaggle Profile"> "https://www.linkedin.com/in/azhar-saleem/" target="_blank"> https://img.shields.io/badge/LinkedIn-Profile-blue?style=for-the-badge&logo=linkedin" alt="LinkedIn Profile">
    "https://www.youtube.com/@AzharSaleem19" target="_blank"> https://img.shields.io/badge/YouTube-Profile-red?style=for-the-badge&logo=youtube" alt="YouTube Profile"> "https://www.facebook.com/azhar.saleem1472/" target="_blank"> https://img.shields.io/badge/Facebook-Profile-blue?style=for-the-badge&logo=facebook" alt="Facebook Profile"> "https://www.tiktok.com/@azhar_saleem18" target="_blank"> https://img.shields.io/badge/TikTok-Profile-blue?style=for-the-badge&logo=tiktok" alt="TikTok Profile">
    "https://twitter.com/azhar_saleem18" target="_blank"> https://img.shields.io/badge/Twitter-Profile-blue?style=for-the-badge&logo=twitter" alt="Twitter Profile"> "https://www.instagram.com/azhar_saleem18/" target="_blank"> https://img.shields.io/badge/Instagram-Profile-blue?style=for-the-badge&logo=instagram" alt="Instagram Profile"> "mailto:azharsaleem6@gmail.com"> https://img.shields.io/badge/Email-Contact%20Me-red?style=for-the-badge&logo=gmail" alt="Email Contact">

    Dataset Description

    Welcome to the Enhanced Saudi Arabian Oil Company (Aramco) Stock Dataset! This dataset has been meticulously prepared from Yahoo Finance and further enriched with several engineered features to elevate your data analysis, machine learning, and financial forecasting projects. It captures the daily trading figures of Aramco stocks, presented in Saudi Riyal (SAR), providing a robust foundation for comprehensive market analysis.

    Columns in the Dataset

    • Date: The trading day for the data recorded (ISO 8601 format).
    • Open: The price at which the stock first traded upon the opening of an exchange on a given trading day.
    • High: The highest price at which the stock traded during the trading day.
    • Low: The lowest price at which the stock traded during the trading day.
    • Close: The price at which the stock last traded upon the close of an exchange on a given trading day.
    • Volume: The total number of shares traded during the trading day.
    • Dividends: The dividend value paid out per share on the trading day.
    • Stock Splits: The number of stock splits occurring on the trading day.
    • Lag Features (Lag_Close, Lag_High, Lag_Low): Previous day's closing, highest, and lowest prices.
    • Rolling Window Statistics (e.g., Rolling_Mean_7, Rolling_Std_7): 7-day and 30-day moving averages and standard deviations of the Close price.
    • Technical Indicators (RSI, MACD, Bollinger Bands): Key metrics used in trading to analyze short-term price movements.
    • Change Features (Change_Close, Change_Volume): Day-over-day changes in Close price and trading volume.
    • Date-Time Features (Weekday, Month, Year, Quarter): Extracted components of the trading day.
    • Volume_Normalized: The standardized trading volume using z-score normalization to adjust for scale differences.

    Potential Uses

    This dataset is tailored for a wide array of applications:

    • Financial Analysis: Explore historical performance, volatility, and market trends.
    • Forecasting Models: Utilize features like lagged prices and rolling statistics to predict future stock prices.
    • Machine Learning: Develop regression models or classification frameworks to predict market movements.
    • Deep Learning: Leverage LSTM networks for more sophisticated time-series forecasting.
    • Time-Series Analysis: Dive deep into trend analysis, seasonality, and cyclical behavior of stock prices.

    Whether you are a data scientist, a financial analyst, or a hobbyist interested in the stock market, this dataset provides a rich playground for analysis and model building. Its comprehensive feature set allows for the development of robust predictive models and offers unique insights into one of the world’s most significant oil companies. Unlock the potential of financial data with this carefully crafted dataset.

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TRADING ECONOMICS (2025). Crude Oil - Price Data [Dataset]. https://tradingeconomics.com/commodity/crude-oil

Crude Oil - Price Data

Crude Oil - Historical Dataset (1983-03-30/2025-07-11)

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csv, json, xml, excelAvailable download formats
Dataset updated
Jul 11, 2025
Dataset authored and provided by
TRADING ECONOMICS
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Time period covered
Mar 30, 1983 - Jul 11, 2025
Area covered
World
Description

Crude Oil rose to 68.75 USD/Bbl on July 11, 2025, up 3.27% from the previous day. Over the past month, Crude Oil's price has risen 1.04%, but it is still 16.37% lower than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Crude Oil - values, historical data, forecasts and news - updated on July of 2025.

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