This web page provides links to agency reports to Congress required by statute.

These reports to the National Science Board include data on proposals and awards and other pertinent information, as well as descriptions of special activities that NSF has undertaken in support of the merit review process.

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

NSF current performance and agency financial reports for the most recent 5 years. Reports provide financial management, program performance, accountability, and performance goals.

This collection contains NSF's FOIA Annual Reports since FY 1998. These reports provide detailed information regarding the number and type of FOIA cases processed and includes data regarding time and costs associated with processing these cases. This collection also contains NSF's Chief FOIA Officer Reports since FY 2009.

OMB Memorandum M-12-12 requires federal agencies to report by January 31st of each year, information on all agency-sponsored conferences from the previous year where the net expenses for each single conference were in excess of $100,000. This report is also required to include the agency head's waiver for any single conference with net conference expenses that exceeded $500,000. OMB Memorandum M-17-08 amended OMB Memorandum M-12-12.

Provides financial management and program performance information for FY 2012 to demonstrate accountability to our stakeholders and the American public. The AFR focuses on financial management and accountability.

One of the reports prepared by NSF to demonstrate the agency's accountability to stakeholders and the American public, this report features key information from the FY 2009 Agency Financial Report and FY 2009 Annual Performance Report.

The Jellyfish Database Initiative (JeDI) is a scientifically-coordinated global database dedicated to gelatinous zooplankton (members of the Cnidaria, Ctenophora and Thaliacea) and associated environmental data. The database holds 476,000 quantitative, categorical, presence-absence and presence only records of gelatinous zooplankton spanning the past four centuries (1790-2011) assembled from a variety of published and unpublished sources. Gelatinous zooplankton data are reported to species level, where identified, but taxonomic information on phylum, family and order are reported for all records. Other auxiliary metadata, such as physical, environmental and biometric information relating to the gelatinous zooplankton metadata, are included with each respective entry. JeDI has been developed and designed as an open access research tool for the scientific community to quantitatively define the global baseline of gelatinous zooplankton populations and to describe long-term and large-scale trends in gelatinous zooplankton populations and blooms. It has also been constructed as a future repository of datasets, thus allowing retrospective analyses of the baseline and trends in global gelatinous zooplankton populations to be conducted in the future. access_formats=.htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson acquisition_description=This information has been synthesized by members of the Global Jellyfish Group from online databases, unpublished and published datasets. More specific details may be found in\u00a0"%5C%22http://dmoserv3.bco-%0Admo.org/data_docs/JeDI/Lucas_et_al_2014_GEB.pdf%5C%22">Lucas, C.J., et al. 2014. Gelatinous zooplankton biomass in the global oceans: geographic variation and environmental drivers. Global Ecol. Biogeogr. (DOI: 10.1111/geb.12169) in the\u00a0methods section. awards_0_award_nid=54810 awards_0_award_number=OCE-1030149 awards_0_data_url=http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1030149 awards_0_funder_name=NSF Division of Ocean Sciences awards_0_funding_acronym=NSF OCE awards_0_funding_source_nid=355 awards_0_program_manager=David L. Garrison awards_0_program_manager_nid=50534 cdm_data_type=Other comment=JeDI: Jellyfish Database Initiative, associated with the Trophic BATS project PIs: R. Condon, C. Lucas, C. Duarte, K. Pitt version 2015.01.08 Note: The displayed view of this dataset is subject to updates Note: Duplicate records were removed on 2015.01.08 See: Dataset term legend for full text of abbreviations. Conventions=COARDS, CF-1.6, ACDD-1.3 data_source=extract_data_as_tsv version 2.3 19 Dec 2019 defaultDataQuery=&time<now doi=10.1575/1912/7191 Easternmost_Easting=180.0 geospatial_lat_max=88.74 geospatial_lat_min=-78.5 geospatial_lat_units=degrees_north geospatial_lon_max=180.0 geospatial_lon_min=-180.0 geospatial_lon_units=degrees_east geospatial_vertical_max=7632.0 geospatial_vertical_min=-10191.48 geospatial_vertical_positive=down geospatial_vertical_units=m infoUrl=https://www.bco-dmo.org/dataset/526852 institution=BCO-DMO metadata_source=https://www.bco-dmo.org/api/dataset/526852 Northernmost_Northing=88.74 param_mapping={'526852': {'lat': 'master - latitude', 'depth': 'master - depth', 'lon': 'master - longitude'}} parameter_source=https://www.bco-dmo.org/mapserver/dataset/526852/parameters people_0_affiliation=University of North Carolina - Wilmington people_0_affiliation_acronym=UNC-Wilmington people_0_person_name=Robert Condon people_0_person_nid=51335 people_0_role=Principal Investigator people_0_role_type=originator people_1_affiliation=University of Western Australia people_1_person_name=Carlos M. Duarte people_1_person_nid=526857 people_1_role=Co-Principal Investigator people_1_role_type=originator people_2_affiliation=National Oceanography Centre people_2_affiliation_acronym=NOC people_2_person_name=Cathy Lucas people_2_person_nid=526856 people_2_role=Co-Principal Investigator people_2_role_type=originator people_3_affiliation=Griffith University people_3_person_name=Kylie Pitt people_3_person_nid=526858 people_3_role=Co-Principal Investigator people_3_role_type=originator people_4_affiliation=Woods Hole Oceanographic Institution people_4_affiliation_acronym=WHOI BCO-DMO people_4_person_name=Danie Kinkade people_4_person_nid=51549 people_4_role=BCO-DMO Data Manager people_4_role_type=related project=Trophic BATS projects_0_acronym=Trophic BATS projects_0_description=Fluxes of particulate carbon from the surface ocean are greatly influenced by the size, taxonomic composition and trophic interactions of the resident planktonic community. Large and/or heavily-ballasted phytoplankton such as diatoms and coccolithophores are key contributors to carbon export due to their high sinking rates and direct routes of export through large zooplankton. The potential contributions of small, unballasted phytoplankton, through aggregation and/or trophic re-packaging, have been recognized more recently. This recognition comes as direct observations in the field show unexpected trends. In the Sargasso Sea, for example, shallow carbon export has increased in the last decade but the corresponding shift in phytoplankton community composition during this time has not been towards larger cells like diatoms. Instead, the abundance of the picoplanktonic cyanobacterium, Synechococccus, has increased significantly. The trophic pathways that link the increased abundance of Synechococcus to carbon export have not been characterized. These observations helped to frame the overarching research question, "How do plankton size, community composition and trophic interactions modify carbon export from the euphotic zone". Since small phytoplankton are responsible for the majority of primary production in oligotrophic subtropical gyres, the trophic interactions that include them must be characterized in order to achieve a mechanistic understanding of the function of the biological pump in the oligotrophic regions of the ocean. This requires a complete characterization of the major organisms and their rates of production and consumption. Accordingly, the research objectives are: 1) to characterize (qualitatively and quantitatively) trophic interactions between major plankton groups in the euphotic zone and rates of, and contributors to, carbon export and 2) to develop a constrained food web model, based on these data, that will allow us to better understand current and predict near-future patterns in export production in the Sargasso Sea. The investigators will use a combination of field-based process studies and food web modeling to quantify rates of carbon exchange between key components of the ecosystem at the Bermuda Atlantic Time-series Study (BATS) site. Measurements will include a novel DNA-based approach to characterizing and quantifying planktonic contributors to carbon export. The well-documented seasonal variability at BATS and the occurrence of mesoscale eddies will be used as a natural laboratory in which to study ecosystems of different structure. This study is unique in that it aims to characterize multiple food web interactions and carbon export simultaneously and over similar time and space scales. A key strength of the proposed research is also the tight connection and feedback between the data collection and modeling components. Characterizing the complex interactions between the biological community and export production is critical for predicting changes in phytoplankton species dominance, trophic relationships and export production that might occur under scenarios of climate-related changes in ocean circulation and mixing. The results from this research may also contribute to understanding of the biological mechanisms that drive current regional to basin scale variability in carbon export in oligotrophic gyres. projects_0_end_date=2014-09 projects_0_geolocation=Sargasso Sea, BATS site projects_0_name=Plankton Community Composition and Trophic Interactions as Modifiers of Carbon Export in the Sargasso Sea projects_0_project_nid=2150 projects_0_start_date=2010-10 sourceUrl=(local files) Southernmost_Northing=-78.5 standard_name_vocabulary=CF Standard Name Table v55 version=1 Westernmost_Easting=-180.0 xml_source=osprey2erddap.update_xml() v1.3

View details of Nsf import data and shipment reports in US with product description, price, date, quantity, major us ports, countries and US buyers/importers list, overseas suppliers/exporters list.

Annual Freedom of Information Act (FOIA) Officer Report for 2009 describing steps NSF has taken to apply the presumption of openness, ensure NSF has an effective system for responding to requests, increase proactive disclosures, greater utilize technology, and reduce backlogs and improve timeliness in responding to requests.

Provides financial management and program performance information for FY2010 to demonstrate accountability to our stakeholders and the American public. The AFR focuses on financial management and accountability.

aAgency success rates were derived from 1) data for the small grants programs within the NSF, available at http://dellweb.bfa.nsf.gov/awdfr3/default.asp, 2) data from NASA at http://science.nasa.gov/researchers/sara/grant-stats/ and http://science.nasa.gov/media/medialibrary/2013/03/19/ROSES_tracking_2013.03.18_web.pdf, and 3) data from NIH at http://report.nih.gov/fundingfacts/index.cfm (all accessed 16 April 2014). For this purpose, we considered R01 grants from the National Institute of Mental Health as representative for psychology success rates at NIH.Respondents’ proposal success rates and agency funding rates, 2009–2012.

We surveyed 113 astronomers and 82 psychologists active in applying for federally funded research on their grant-writing history between January, 2009 and November, 2012. We collected demographic data, effort levels, success rates, and perceived non-financial benefits from writing grant proposals. We find that the average proposal takes 116 PI hours and 55 CI hours to write; although time spent writing was not related to whether the grant was funded. Effort did translate into success, however, as academics who wrote more grants received more funding. Participants indicated modest non-monetary benefits from grant writing, with psychologists reporting a somewhat greater benefit overall than astronomers. These perceptions of non-financial benefits were unrelated to how many grants investigators applied for, the number of grants they received, or the amount of time they devoted to writing their proposals. We also explored the number of years an investigator can afford to apply unsuccessfully for research grants and our analyses suggest that funding rates below approximately 20%, commensurate with current NIH and NSF funding, are likely to drive at least half of the active researchers away from federally funded research. We conclude with recommendations and suggestions for individual investigators and for department heads.

A portal for sharing data, reports and other products from the Navigating the New Arctic project: Landscape evolution and adapting to change in ice-rich permafrost systems (NSF Award 1928237). This 2019-2024 study is focused at Prudhoe Bay and the Native Village of Point Lay, Alaska, where permafrost temperatures are changing rapidly and there are large impacts to natural ecosystems, infrastructure and local communities. Both areas contain excellent examples of ice-rich permafrost-related problems relevant to many other areas of Alaska and circumpolar Arctic. Study areas: vegetation, permafrost dynamics, hydrology, remote sensing, housing foundations, roads, village infrastructure.

Provides de-identified client and matter information related to legal services delivered by Indigenous Legal Assistance Programme service providers\r \r More information about this dataset can be found at: http://www.abs.gov.au/ausstats/abs@.nsf/Lookup/4533.0Main+Features382013

WCRP CMIP5: The NSF-DOE-NCAR team CESM1-CAM5-1-FV2 model output for the GHG-only historical (historicalGHG) experiment. These data cover the following realms: atmos, land, ocean and seaIce; at the following frequencies: day and mon. The runs included the ensemble members: r3i1p1 and r4i1p1. The WCRP Coupled Model Intercomparison Project, Phase 5 (CMIP5), was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the World Climate Research Program (WCRP) and provided input for the Intergovernmental Panel on Climate Change (IPCC) 5th Assessment Report (AR5). The NSF-DOE-NCAR team consisted of the following agencies: National Science Foundation (NSF) and National Center for Atmospheric Research (NCAR).

The SFS dashboard is being developed for use by the SFS Program Office, SFS Principal Investigators and approved agency officials to track placement rates and other program statistics. Data is currently used by NSF as part of the SFS Biennial Report to Congress. Aggregate data will be available to select users and PIs will have access to their individual student data. Program Adminstrators will have access to all individual-level and aggregate data.

Climate change in the 20th and 21st century is dramatically changing the polar regions. This is documented by numerous studies, for example as thawing permafrost, retreating Arctic sea ice and accelerating mass loss from glaciers and ice sheets. These changes may have widespread consequences for many aspects of the earth systems, e.g. carbon budget, food and water security, sea levels, and freshwater input to oceans. To understand the changing polar regions and their global impacts, scientists are increasingly using very large datasets derived from highÂresolution satellite imagery, airborne missions, and computer modeling. However, advanced cyberinfrastructure, and in particular, high‐performance distributed computing (HPDC) remains an underutilized resource within the polar science community. To explore the opportunities for addressing this gap and increasing the collaboration between the polar science and HPDC communities, the workshop "High‐Performance & Distributed Computing for Polar Sciences: Applications, Cyberinfrastructure and Opportunities"€ brought together polar scientists, HPDC experts, and data practitioners at Rutgers University in New Brunswick, New Jersey on December 4 and 5, 2014. Approximately thirty U.S.‐based researchers gathered for two days of presentations and discussions centered on two questions: 1) How can polar science benefit from HPDC? and 2) What are the challenges in bringing HPDC and polar sciences together? Through workshop discussions, participants agreed that processing the ever‐expanding catalog of high‐resolution digital satellite imagery, and running model simulations of polar region dynamics, provide key opportunities for polar science and HPDC collaboration to advance both fields. Despite the potential of these opportunities, a number of challenges currently exist preventing progress. Some example obstacles to collaboration are the knowledge gap, simple access mechanisms to HPDC resources and lower barriers to access HPDC. Workshop participants discussed many ways to close this gap, inter alia including how to increase data discovery and make connections between data repositories with computing and data processing facilities. Articulating and addressing the heterogeneity of HPDC solutions, whilst improving the simplicity of HPDC resource use (and understanding) were recurring themes. Greater adoption of HPDC might be facilitated by making software products commonly used among polar scientists available on HPDC platforms. Additionally, there are socio‐technical and cultural barriers that need addressing. Participants found the workshop, with adequate time for discussions, very educational and helpful, and there was unanimous consensus that such efforts needed to be sustained in order to understand how to convert aspirations into a plan and subsequent action. Recommendations from the Workshop include the following: • Continue cross‐community engagement to build common directions • Promote awareness of HPDC training resources for polar scientists • Work towards a roadmap for HPDC uptake in the polar sciences

WCRP CMIP5: The NSF-DOE-NCAR team CESM1-CAM5 model output for the historical experiment. These data cover the following realms: aerosol, atmos, land, landIce, ocean and seaIce; at the following frequencies: day, fx and mon. The runs included the ensemble members: r0i0p0, r1i1p1, r2i1p1 and r3i1p1.

The WCRP Coupled Model Intercomparison Project, Phase 5 (CMIP5), was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the World Climate Research Program (WCRP) and provided input for the Intergovernmental Panel on Climate Change (IPCC) 5th Assessment Report (AR5).

The NSF-DOE-NCAR team consisted of the following agencies: National Science Foundation (NSF) and National Center for Atmospheric Research (NCAR).