Ocean Surface Current Analyses Real-time (OSCAR) is a global surface current database and NASA funded research project. OSCAR ocean mixed layer velocities are calculated from satellite-sensed sea surface height gradients, ocean vector winds, and sea surface temperature gradients using a simplified physical model for geostrophy, Ekman, and thermal wind dynamics. Daily averaged surface currents are provided on a global 0.25 x 0.25 degree grid as an average over an assumed well-mixed top 30 m of the ocean from 1993 to present day. OSCAR currents are provided at three quality levels: final, interim and nrt with a respective latency of each of approximately 1 year, 1 month, and 2 days. OSCAR is generated by Earth & Space Research (ESR) https://www.esr.org/research/oscar/. More details on the source datasets, file structure, and methodology can be found in oscarv2guide.pdf.

OSCAR (Ocean Surface Current Analysis Real-time) contains near-surface ocean current estimates, derived using quasi-linear and steady flow momentum equations. The horizontal velocity is directly estimated from sea surface height, surface vector wind and sea surface temperature. These data were collected from the various satellites and in situ instruments. The model formulation combines geostrophic, Ekman and Stommel shear dynamics, and a complementary term from the surface buoyancy gradient. Data are on a 1/3 degree grid with a 5 day resolution. OSCAR is generated by Earth Space Research (ESR) https://www.esr.org/research/oscar/oscar-surface-currents/. This collection contains data in 5-day files. For yearly files, see https://doi.org/10.5067/OSCAR-03D1Y

OSCAR (Ocean Surface Current Analysis Real-time) contains near-surface ocean current estimates, derived using quasi-linear and steady flow momentum equations. The horizontal velocity is directly estimated from sea surface height, surface vector wind and sea surface temperature. These data were collected from the various satellites and in situ instruments. The model formulation combines geostrophic, Ekman and Stommel shear dynamics, and a complementary term from the surface buoyancy gradient. Data are on a 1/3 degree grid with a 5 day resolution. OSCAR is generated by Earth Space Research (ESR) https://www.esr.org/research/oscar/oscar-surface-currents/

Citation: ESR. 2009. OSCAR third degree resolution ocean surface currents. Ver. 1. PO.DAAC, CA, USA. Dataset accessed [YYYY-MM-DD] at https://doi.org/10.5067/OSCAR-03D01.

Journal Reference Bonjean, F., and G. S. E. Lagerloef, 2002. Diagnostic model and analysis of the surface currents in the tropical Pacific Ocean. J. Phys. Oceanogr., vol. 32, pg. 2938-2954.

Daily flow fields for year 2021 are read consecutively and virtual sea water parcels (100,000) are tracked as they follow this time variable flow field. The small file contains a subset of 30 days and 50,000 parcels.

Software : Drifters.jl (v0.6.4)

Forget, G., (2021). IndividualDisplacements.jl: a Julia package to simulate and study particle displacements within the climate system. Journal of Open Source Software, 6(60), 2813, https://doi.org/10.21105/joss.02813

https://github.com/JuliaClimate/Drifters.jl

Data : Oscar (v2.0)

ESR; Dohan, Kathleen. 2022. Ocean Surface Current Analyses Real-time (OSCAR) Surface Currents - Final 0.25 Degree (Version 2.0). Ver. 2.0. PO.DAAC, CA, USA. Dataset accessed [YYYY-MM-DD] at https://doi.org/10.5067/OSCAR-25F20

https://podaac.jpl.nasa.gov/dataset/OSCAR_L4_OC_FINAL_V2.0

Ocean Surface Current Analyses Real-time (OSCAR) is a NASA funded research project and global surface current database. OSCAR global ocean surface mixed layer velocities are calculated from satellite-sensed sea surface height gradients, ocean vector winds, and sea surface temperature fields using geostrophy, Ekman, and thermal wind dynamics. OSCAR's continuing improvement depends on better modeling of the momentum transfer both within and across the boundaries of the turbulent mixed layer. A main research objective of the OSCAR project is to improve the generation of surface currents by ocean vector winds, and in doing so further our understanding of the mechanisms behind the transfer of momentum between the atmosphere and the ocean through the planetary boundary layer. Surface currents are provided on global grid every ~5 days, dating from 1992 to present day, with daily updates and near-real-time availability. * Principal Investigator: Kathleen Dohan (kdohan@esr.org). Co-Investigator: Gary Lagerloef (lager@esr.org). * Maximum Mask velocity is the geostrophic component at all points + any concurrent Ekman and buoyancy components. * Longitude extends from 20 E to 420 E to avoid a break in major ocean basins. Data repeats in overlap region.

This project is developing a processing system and data center to provide operational ocean surface velocity fields from satellite altimeter and vector wind data. The method to derive surface currents with satellite altimeter and scatterometer data is the outcome of several years NASA sponsored research. The project will transition that capability to operational oceanographic applications. The end product is velocity maps updated daily, with a goal for eventual 2-day maximum delay from time of satellite measurement. Grid resolution is 100 km for the basin scale, and finer resolution in the vicinity of the Pacific Islands.

Dataset Summary

Various subsets of the English OSCAR with different numbers of tokens measured with the GPT2Tokenizer. This data is used in the paper Scaling Data-Constrained Language Models. Please refer to our GitHub repository for more details. @article{muennighoff2023scaling, title={Scaling Data-Constrained Language Models}, author={Muennighoff, Niklas and Rush, Alexander M and Barak, Boaz and Scao, Teven Le and Piktus, Aleksandra and Tazi, Nouamane and Pyysalo, Sampo and… See the full description on the dataset page: https://huggingface.co/datasets/datablations/oscar-subsets.

Ocean Surface Current Analyses Real-time (OSCAR) is a NASA funded research project and global surface current database. OSCAR global ocean surface mixed layer velocities are calculated from satellite-sensed sea surface height gradients, ocean vector winds, and sea surface temperature fields using geostrophy, Ekman, and thermal wind dynamics. OSCAR's continuing improvement depends on better modeling of the momentum transfer both within and across the boundaries of the turbulent mixed layer. A main research objective of the OSCAR project is to improve the generation of surface currents by ocean vector winds, and in doing so further our understanding of the mechanisms behind the transfer of momentum between the atmosphere and the ocean through the planetary boundary layer. Surface currents are provided on global grid every ~5 days, dating from 1992 to present day, with daily updates and near-real-time availability. * Principal Investigator: Kathleen Dohan (kdohan@esr.org). Co-Investigator: Gary Lagerloef (lager@esr.org). * Maximum Mask velocity is the geostrophic component at all points + any concurrent Ekman and buoyancy components.* Longitude extends from 20 E to 420 E to avoid a break in major ocean basins. Data repeats in overlap region.Ocean Surface Current Analyses Real-time (OSCAR) is a NASA funded research project and global surface current database. OSCAR global ocean surface mixed layer velocities are calculated from satellite-sensed sea surface height gradients, ocean vector winds, and sea surface temperature fields using geostrophy, Ekman, and thermal wind dynamics. OSCAR's continuing improvement depends on better modeling of the momentum transfer both within and across the boundaries of the turbulent mixed layer. A main research objective of the OSCAR project is to improve the generation of surface currents by ocean vector winds, and in doing so further our understanding of the mechanisms behind the transfer of momentum between the atmosphere and the ocean through the planetary boundary layer. Surface currents are provided on global grid every ~5 days, dating from 1992 to present day, with daily updates and near-real-time availability. * Principal Investigator: Kathleen Dohan (kdohan@esr.org). Co-Investigator: Gary Lagerloef (lager@esr.org). * Maximum Mask velocity is the geostrophic component at all points + any concurrent Ekman and buoyancy components.* Longitude extends from 20 E to 420 E to avoid a break in major ocean basins. Data repeats in overlap region.Ocean Surface Current Analyses Real-time (OSCAR) is a NASA funded research project and global surface current database. OSCAR global ocean surface mixed layer velocities are calculated from satellite-sensed sea surface height gradients, ocean vector winds, and sea surface temperature fields using geostrophy, Ekman, and thermal wind dynamics. OSCAR's continuing improvement depends on better modeling of the momentum transfer both within and across the boundaries of the turbulent mixed layer. A main research objective of the OSCAR project is to improve the generation of surface currents by ocean vector winds, and in doing so further our understanding of the mechanisms behind the transfer of momentum between the atmosphere and the ocean through the planetary boundary layer. Surface currents are provided on global grid every ~5 days, dating from 1992 to present day, with daily updates and near-real-time availability. * Principal Investigator: Kathleen Dohan (kdohan@esr.org). Co-Investigator: Gary Lagerloef (lager@esr.org). * Maximum Mask velocity is the geostrophic component at all points + any concurrent Ekman and buoyancy components.* Longitude extends from 20 E to 420 E to avoid a break in major ocean basins. Data repeats in overlap region.Ocean Surface Current Analyses Real-time (OSCAR) is a NASA funded research project and global surface current database. OSCAR global ocean surface mixed layer velocities are calculated from satellite-sensed sea surface height gradients, ocean vector winds, and sea surface temperature fields using geostrophy, Ekman, and thermal wind dynamics. OSCAR's continuing improvement depends on better modeling of the momentum transfer both within and across the boundaries of the turbulent mixed layer. A main research objective of the OSCAR project is to improve the generation of surface currents by ocean vector winds, and in doing so further our understanding of the mechanisms behind the transfer of momentum between the atmosphere and the ocean through the planetary boundary layer. Surface currents are provided on global grid every ~5 days, dating from 1992 to present day, with daily updates and near-real-time availability. * Principal Investigator: Kathleen Dohan (kdohan@esr.org). Co-Investigator: Gary Lagerloef (lager@esr.org). * Maximum Mask velocity is the geostrophic component at all points + any concurrent Ekman and buoyancy components.* Longitude extends from 20 E to 420 E to avoid a break in major ocean basins. Data repeats in overlap region.

The Open Super-large Crawled ALMAnaCH coRpus is a huge multilingual corpus obtained by language classification and filtering of the Common Crawl corpus using the goclassy architecture.\

Dataset Card for oscar-2201_urls

This dataset provides the URLs and top-level domains associated with training records in oscar-corpus/OSCAR-2201. It is part of a collection of datasets curated to make exploring LLM training datasets more straightforward and accessible.

  Dataset Details







  Dataset Description

This dataset was created by downloading the source data, extracting URLs and top-level domains, and retaining only those record identifiers. In doing… See the full description on the dataset page: https://huggingface.co/datasets/nhagar/oscar-2201_urls.

This dataset represents the results of the experiment Progression of Revenue and IMDb Score of Oscar "Best Picture" Winners From 1986 Until 2016. Its latest released version of source code can be found at https://doi.org/10.5281/zenodo.4661145.

About this dataset

Context

The dataset presents the distribution of median household income among distinct age brackets of householders in Oscar township. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varies among householders of different ages in Oscar township. It showcases how household incomes typically rise as the head of the household gets older. The dataset can be utilized to gain insights into age-based household income trends and explore the variations in incomes across households.

Key observations: Insights from 2023

In terms of income distribution across age cohorts, in Oscar township, where there exist only two delineated age groups, the median household income is $137,750 for householders within the 45 to 64 years age group, compared to $102,708 for the 25 to 44 years age group.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

Age groups classifications include:

• Under 25 years
• 25 to 44 years
• 45 to 64 years
• 65 years and over

Variables / Data Columns

• Age Of The Head Of Household: This column presents the age of the head of household
• Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific age group

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Oscar township median household income by age. You can refer the same here

NOAA Ship Oscar Dyson Underway Meteorological Data (Near Real Time, updated daily) are from the Shipboard Automated Meteorological and Oceanographic System (SAMOS) program. IMPORTANT: ALWAYS USE THE QUALITY FLAG DATA! Each data variable's metadata includes a qcindex attribute which indicates a character number in the flag data. ALWAYS check the flag data for each row of data to see which data is good (flag='Z') and which data isn't. For example, to extract just data where time (qcindex=1), latitude (qcindex=2), longitude (qcindex=3), and airTemperature (qcindex=12) are 'good' data, include this constraint in your ERDDAP query: flag=~"ZZZ........Z." in your query. '=~' indicates this is a regular expression constraint. The 'Z's are literal characters. In this dataset, 'Z' indicates 'good' data. The '.'s say to match any character. The '' says to match the previous character 0 or more times. (Don't include backslashes in your query.) See the tutorial for regular expressions at https://www.vogella.com/tutorials/JavaRegularExpressions/article.html

Ocean Surface Current Analyses Real-time (OSCAR) is a global surface current database and NASA funded research project. OSCAR ocean mixed layer velocities are calculated from satellite-sensed sea surface height gradients, ocean vector winds, and sea surface temperature gradients using a simplified physical model for geostrophy, Ekman, and thermal wind dynamics. Daily averaged surface currents are provided on a global 0.25 x 0.25 degree grid as an average over an assumed well-mixed top 30 m of the ocean from 1993 to present day. OSCAR currents are provided at three quality levels: final, interim and nrt with a respective latency of each of approximately 1 year, 1 month, and 2 days. OSCAR is generated by Earth & Space Research (ESR) https://www.esr.org/research/oscar/. More details on the source datasets, file structure, and methodology can be found in oscarv2guide.pdf.

As of March 2025, three films tied for most Academy Award wins of all time. "Ben-Hur" (1959), "The Lord of the Rings: The Return of the King" (2003), and "Titanic" (1997) each received 11 Oscars. The musical with the most Oscar wins was "West Side Story" (1961), with ten trophies. Out of the winners displayed, "Cabaret" (1972) is the only title that lost in the Best Picture category – "The Godfather" won that trophy in 1973. The studios will go on – or will they? Only three of the seven production companies behind the top three Oscar-winning movies in history were among the Academy Award-winning studios in 2022: Warner Bros. (responsible for the label New Line Cinema), Disney (the current owner of 20th Century Studios), and MGM (today run by Amazon). Wins for the most influential prize in Hollywood reflected two major trends in the industry. On the one hand, the hegemony of Disney. On the other, the rise of streaming platforms such as Amazon and Netflix. In 2022, Netflix's Oscar nominations decreased for the first time. Still, its 27 nominations that year were the company's second-highest number ever. The best of two worlds The recipe for a so-called Oscar bait – that is, a movie seemingly produced for the sake of snatching the coveted trophy – may include the Academy's sweethearts. But that does not necessarily translate into a two-digit number of wins. None of the only six actors with at least three Oscar wins participated in the only four films with at least ten Oscar wins. These two elite groups tend to follow different tropes. The most rewarded actors usually received trophies for their work in character-based movies. Meanwhile, the most rewarded films typically received prizes for their epic, larger-than-life narratives and sets.

About this dataset

Context

The dataset tabulates the population of Oscar township by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Oscar township. The dataset can be utilized to understand the population distribution of Oscar township by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Oscar township. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Oscar township.

Key observations

Largest age group (population): Male # 0-4 years (17) | Female # 30-34 years (20). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the Oscar township population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Oscar township is shown in the following column.
• Population (Female): The female population in the Oscar township is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Oscar township for each age group.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Oscar township Population by Gender. You can refer the same here

Some data name

Just testing... this dataset is temporary and will be removed soon.

  Usage

from datasets import load_dataset

init dataset in streaming mode

ds = load_dataset("malteos/clean-oscar-de", name="de", split="2021_17", streaming=True)

print the first item of the dataset

print(next(iter(ds)))

  License

Internal testing only

  Statistics

num_bytes num_examples

de 100752449183 40960253

  de

num_bytes… See the full description on the dataset page: https://huggingface.co/datasets/malteos/clean-oscar-de.

In 2025, around 19.7 million Americans watched the Academy Awards ceremony. Oscars viewership fluctuates year by year, however, the last time the ceremony drew in a U.S. audience of more than 40 million was back in 2014. The figure recorded in 2021 was the lowest yet, and marked a drop-off of over 50 percent from the 2020 audience. Coverage of the Academy Awards Viewership of awards ceremonies can depend on multiple factors, ranging from personal preferences to overall interest in nominees, as well as how much coverage is devoted to the ceremony before and during its broadcast. Interest in upcoming events in the media industry is often generated via social media, which can be extremely effective in generating discussions, interactions, and general awareness. In 2018, the Academy Awards were mentioned 2.5 million times on social media during the ceremony, and have also proved to be some of the most popular TV specials on Twitter in recent years. Conversely, a survey held in early 2019 revealed that 19 percent of U.S. adults had not come across any news coverage for the 2019 Academy Awards at all.

This dataset is about book series. It has 1 row and is filtered where the books is Oscar on the moon. It features 10 columns including number of authors, number of books, earliest publication date, and latest publication date.

Spatial structuring of mid-trophic level forage communities in the Gulf of Alaska (GoA) is poorly understood, even though it has clear implications for the health of fisheries and marine wildlife populations. Here, we test the hypothesis that summertime (May-August) mesozooplankton communities are spatially-persistent across years of varying ocean conditions, including during the marine heatwave of 2014-2016. We use spatial ordinations and hierarchical clustering of Continuous Plankton Recorder (CPR) sampling over 17 years (2000-2016) to (1) characterize typical zooplankton communities in different regions of the GoA, and (2) investigate spatial structuring relative to variation in ocean temperatures and circulation. Five regional communities were identified, each representing distinct variation in the abundance of 18 primary zooplankton taxa: a distinct cluster of coastal taxa on the continental shelf north of Vancouver Island; a second cluster in the western GoA associated with strong currents and cold water east of Unimak Pass; a shelf break cluster rich in euphausiids found at both the eastern and western margins of the GoA; a broad offshore cluster of abundant pelagic zooplankton in the southern GoA gyre associated with stable temperature and current conditions; and a final offshore cluster exhibiting low zooplankton abundance concentrated along the northeastern arm of the subarctic gyre where ocean conditions are dominated by eddy activity. When comparing years of anomalous warm and cold sea surface temperatures, we observed change in the spatial structure in coastal communities, but little change (i.e., spatial persistence) in the northwestern GoA basin. Whereas previous studies have shown within-region variability in zooplankton communities in response to ocean climate, we highlight both consistency and change in regional communities, with interannual variability in shelf communities and persistence in community structure offshore. These results suggest greater variability in coastal food webs than in the central portion of the GoA, which may be important to energy exchange from lower to upper trophic levels in the mesoscale biomes of this ecosystem.

Methods Zooplankton data: taxonomic data for each zooplankton taxa identified from Gulf of Alaska CPR transects (2000-2016) was spatially summarized within each year into 2 by 2 degree spatial bins (Dataset A: "Zooplankton_by_Year.csv"; Bins are numbered 1-41). For analysis, data for each taxa was then averaged across all years (Dataset B: "Zooplankton_Community_AllYears.csv") and for warm vs. cold years (Dataset C: "Zooplankton_Community_WarmColdYears.csv"). Hierchical Clustering of Principal Components and other analyses were conducted on Dataset B to determine the baseline community composition analysis, and on Dataset C to determine community patterns during warm years (2004, 2005, 2015-2017) vs. cold years (2007, 2008, 2010-2012).

Oceanographic data was downloaded as described in the methods: SST data were obtained from the NOAA Optimal Interpolation SST, a combined and corrected interpolation of data from different platforms (satellites, ships, buoys) with a daily resolution of 1/4° [30] Ocean surface current data are from the Ocean Surface Currents Analysis Real-time (OSCAR, version 1) data set [31,32]. OSCAR currents, representing the geostrophic and ageostrophic flow at 15 m depth, were calculated from satellite sea surface height gradients, ocean vector winds, and SST data every 5-days on a 1/3° global grid. Bathymetric data was obtained from ETOPO1 dataset, with a 1 arc-minute resolution (doi: 10.7289/V5C8276M).