The NSF Award Search web API provides a web API interface to the Research.gov's Research Spending and Results data, which provides NSF research award information from 2007.

The NSF Public Access Repository contains an initial collection of journal publications and the final accepted version of the peer-reviewed manuscript or the version of record. To do this, NSF draws upon services provided by the publisher community including the Clearinghouse of Open Research for the United States, CrossRef, and International Standard Serial Number. When clicking on a Digital Object Identifier number, you will be taken to an external site maintained by the publisher. Some full text articles may not be available without a charge during the embargo, or administrative interval. Some links on this page may take you to non-federal websites. Their policies may differ from this website.

Dataset of 500K NSF awards. Last pulled May 2025. Data includes titles, abstracts and metadata, from 1960-present as they appear in the NSF database. Data is originally from https://www.nsf.gov/awardsearch/download.jsp, and is hosted on HF. Note: Awards prior to 1976 are not fully included, and do not have all fields filled-in.

  Quick Start

import pandas as pd from datasets import load_dataset

dataset = load_dataset("davidheineman/nsf-awards") df = pd.DataFrame(dataset['train'])… See the full description on the dataset page: https://huggingface.co/datasets/davidheineman/nsf-awards.

The National Science Foundation (NSF) Surveys of Public Attitudes monitored the general public's attitudes toward and interest in science and technology. In addition, the survey assessed levels of literacy and understanding of scientific and environmental concepts and constructs, how scientific knowledge and information were acquired, attentiveness to public policy issues, and computer access and usage. Since 1979, the survey was administered at regular intervals (occurring every two or three years), producing 11 cross-sectional surveys through 2001. Data for Part 1 (Survey of Public Attitudes Multiple Wave Data) were comprised of the survey questionnaire items asked most often throughout the 22-year survey series and account for approximately 70 percent of the original questions asked. Data for Part 2, General Social Survey Subsample Data, combine the 1983-1999 Survey of Public Attitudes data with a subsample from the 2002 General Social Survey (GSS) (GENERAL SOCIAL SURVEYS, 1972-2002: [CUMULATIVE FILE] [ICPSR 3728]) and focus solely on levels of education and computer access and usage. Variables for Part 1 include the respondents' interest in new scientific or medical discoveries and inventions, space exploration, military and defense policies, whether they voted in a recent election, if they had ever contacted an elected or public official about topics regarding science, energy, defense, civil rights, foreign policy, or general economics, and how they felt about government spending on scientific research. Respondents were asked how they received information concerning science or news (e.g., via newspapers, magazines, or television), what types of television programming they watched, and what kind of magazines they read. Respondents were asked a series of questions to assess their understanding of scientific concepts like DNA, probability, and experimental methods. Respondents were also asked if they agreed with statements concerning science and technology and how they affect everyday living. Respondents were further asked a series of true and false questions regarding science-based statements (e.g., the center of the Earth is hot, all radioactivity is manmade, electrons are smaller than atoms, the Earth moves around the sun, humans and dinosaurs co-existed, and human beings developed from earlier species of animals). Variables for Part 2 include highest level of math attained in high school, whether the respondent had a postsecondary degree, field of highest degree, number of science-based college courses taken, major in college, household ownership of a computer, access to the World Wide Web, number of hours spent on a computer at home or at work, and topics searched for via the Internet. Demographic variables for Parts 1 and 2 include gender, race, age, marital status, number of people in household, level of education, and occupation.

NSF information quality guidelines designed to fulfill the OMB guidelines.

NSF news and publications that provides updates on areas related to NSF's research and mission.

Bayes task data from NSF 2008 Project (Sleep and Decisions).Decision data generated through controlled laboratory experiments. Sleep data monitored via actigraphy. Includes decision task data collected at Appalachian State University and data from the US Air Force Academy (on collaborative NSF funding)

Measurements taken in the Blue Water Zone (BWZ) under NSF funding near Antarctica and Drakes Passage in 2004 to 2006.

The XSEDE program manages the database of allocation awards for the portfolio of advanced research computing resources funded by the National Science Foundation (NSF). The database holds data for allocation awards dating to the start of the TeraGrid program in 2004 to present, with awards continuing through the end of the second XSEDE award in 2021. The project data include lead researcher and affiliation, title and abstract, field of science, and the start and end dates. Along with the project information, the data set includes resource allocation and usage data for each award associated with the project. The data show the transition of resources over a fifteen year span along with the evolution of researchers, fields of science, and institutional representation.

This is NSF's Enterprise Data Inventory, produced in compliance with Executive Order 13642 of May 9, 2013, "Making Open and Machine Readable the New Default for Government Information" and OMB Memorandum M-13-13 "Open Data Policy-Managing Information as an Asset."

This web API contains FY 2001-FY 2016 NSF funding rates for competitive research proposals by organizational unit. The funding rate is calculated by dividing the number of awards by the number of awards and declines.

Research Areas and Main Research Fields of CISE in NSF.

Summary of Program Distribution of Big Data Projects in NSF.

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Concerns about systemic racism at academic and research institutions have increased over the past decade. Here, we investigate data from the National Science Foundation (NSF), a major funder of research in the United States, and find evidence for pervasive racial disparities. In particular, white principal investigators (PIs) are consistently funded at higher rates than most non-white PIs. Funding rates for white PIs have also been increasing relative to annual overall rates with time. Moreover, disparities occur across all disciplinary directorates within the NSF and are greater for research proposals. The distributions of average external review scores also exhibit systematic offsets based on PI race. Similar patterns have been described in other research funding bodies, suggesting that racial disparities are widespread. The prevalence and persistence of these racial disparities in funding have cascading impacts that perpetuate a cumulative advantage to white PIs across all of science, technology, engineering and mathematics. Methods All data were collated from publicly available annual merit review reports published by the National Science Foundation, which can be accessed online at the following link: https://www.nsf.gov/nsb/publications/pubmeritreview.jsp

The purpose of the Dashboard is to provide information on the effectiveness of government IT programs and to support decisions regarding the investment and management of resources. The Dashboard is now being used by the Administration and Congress to make budget and policy decisions.

The National Science Foundation (NSF) Arctic Data Center (ADC) preserves and provides access to multi-disciplinary NSF-funded global cryosphere-land-ocean-atmosphere data (including in situ and remote sensing, video, sound, and other data). This collection includes all such data which has been provided to and has been archived by the NOAA National Centers for Environmental Information (NCEI). The data span from 1800 to present and include many measured variables and calculated parameters.

Agency spending information from USAspending.gov

An text/xml file containing NSF funding rates for competitive research proposals by organizational unit. The funding rate is calculated by dividing the number of awards by the number of awards and declines.

An text/xml file containing National Science Foundation (NSF) funding rates for competitive research proposals by organizational unit. The funding rate is calculated by dividing the number of awards by the number of awards and declines.