Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
3,172
datasets available to search
ShareScore release 0.9.0
Dataset results
3,172 results for “Publications”
The Public Private Partnership Addressing Literacy-Numeracy to Improve Diabetes Care
ClinicalTrials.gov study NCT01344668. IPD Sharing: Not stated. Countries: 1. Publications: 0.
War on Melanoma™ Public Health & Education Campaign
ClinicalTrials.gov study NCT04611568. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Evaluation of the Public Health Interest of Kaletra: Impact on Resistance to Antiretrovirals (ARVs)
ClinicalTrials.gov study NCT01103596. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Preventing Learning Problems in Young Children: A Public Health and Physician-Based Outreach
ClinicalTrials.gov study NCT00110292. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Evaluation of Virtual CBTm for Public Safety Personnel
ClinicalTrials.gov study NCT05121194. IPD Sharing: NO. Countries: 1. Publications: 0.
Understanding the Public Impact on Dengue Vaccination Strategies in Yunnan Province, China: A Dynamic Transmission Modeling Study
ClinicalTrials.gov study NCT07206784. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
ACTIVATE in Public Housing
ClinicalTrials.gov study NCT06075732. IPD Sharing: NO. Countries: 1. Publications: 0.
Observational Study That Will Evaluate Treatment Patterns in the Management of Hypertension in Various Scenarios in the Public Primary Care System
ClinicalTrials.gov study NCT07361276. IPD Sharing: YES. Countries: 0. Publications: 0.
Build better LibGuides: A dataset of Political Science, Public Affairs, and International Studies LibGuides
Open the record for dataset details and reuse information.
Data from: Public-private partnership wetland restorations provide quality forage for waterfowl in Northern New York
Open the record for dataset details and reuse information.
Data from: Clinical trial registration, reporting, publication and FDAAA compliance: a cross-sectional analysis and ranking of new drugs approved by the FDA in 2012
Open the record for dataset details and reuse information.
Tree species rankings based on publication rate (North America)
Open the record for dataset details and reuse information.
MISR Level 3 Component Global Aerosol Regional public Product covering a month V002
MI3MAER_2 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 3 Component Global Aerosol Regional public Product covering a month version 2. It contains a monthly statistical summary of aerosol optical depth (AOD) and single scattering albedo (SSA) model parameters. Data collection for this product was complete in August 2007.MISR itself is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the affects of sunlight on Earth, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure.
MISR Level 3 Global Cloud public Product in netCDF format covering a month V002
This file contains the MISR Level 3 Global Cloud public Product in netCDF format covering a month.MI3MCLDN_002 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 3 Global Cloud public Product in netCDF format covering a month version 2 data product. It is a global summary of the Level 1 and Level 2 cloud parameters of interest averaged over a year and reported on a geographic grid; it has multiple data layers with varying temporal resolutions of 0.5 degrees by 0.5 degrees and 2.5 degrees by 2.5 degrees resolution. Data collection for this product is ongoing. The MISR instrument consists of nine push-broom cameras that measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four forward, and four aftward. It takes seven minutes for all nine cameras to view the exact surface location. The view angles relative to the surface reference ellipsoid are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm.MISR is designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successfully imaged by all nine cameras in 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the effects of sunlight on Earth and distinguish different types of clouds, particles, and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure.
DISCOVER-AQ Colorado Deployment Colorado Department of Public Health and Environment Ground Site Data
DISCOVERAQ_Colorado_Ground_CDPHE_Data contains data collected by the Colorado Department of Public Health and Environment (CDPHE) at ground sites around the study area, including Chatfield Park, Denver-LaCasa, Fort Collins, NREL-Golden, Aurora-East, Boulder, Denver-CAMP, Denver-I25, Rocky Flats, Welch, and Weld Co. Tower as part of the Colorado (Denver) deployment of NASA's DISCOVER-AQ field study. This data product contains data for only the Colorado deployment and data collection is complete.Understanding the factors that contribute to near surface pollution is difficult using only satellite-based observations. The incorporation of surface-level measurements from aircraft and ground-based platforms provides the crucial information necessary to validate and expand upon the use of satellites in understanding near surface pollution. Deriving Information on Surface conditions from Column and Vertically Resolved Observations Relevant to Air Quality (DISCOVER-AQ) was a four-year campaign conducted in collaboration between NASA Langley Research Center, NASA Goddard Space Flight Center, NASA Ames Research Center, and multiple universities to improve the use of satellites to monitor air quality for public health and environmental benefit. Through targeted airborne and ground-based observations, DISCOVER-AQ enabled more effective use of current and future satellites to diagnose ground level conditions influencing air quality.DISCOVER-AQ employed two NASA aircraft, the P-3B and King Air, with the P-3B completing in-situ spiral profiling of the atmosphere (aerosol properties, meteorological variables, and trace gas species). The King Air conducted both passive and active remote sensing of the atmospheric column extending below the aircraft to the surface. Data from an existing network of surface air quality monitors, AERONET sun photometers, Pandora UV/vis spectrometers and model simulations were also collected. Further, DISCOVER-AQ employed many surface monitoring sites, with measurements being made on the ground, in conjunction with the aircraft. The B200 and P-3B conducted flights in Baltimore-Washington, D.C. in 2011, Houston, TX in 2013, San Joaquin Valley, CA in 2013, and Denver, CO in 2014. These regions were targeted due to being in violation of the National Ambient Air Quality Standards (NAAQS).The first objective of DISCOVER-AQ was to determine and investigate correlations between surface measurements and satellite column observations for the trace gases ozone (O3), nitrogen dioxide (NO2), and formaldehyde (CH2O) to understand how satellite column observations can diagnose surface conditions. DISCOVER-AQ also had the objective of using surface-level measurements to understand how satellites measure diurnal variability and to understand what factors control diurnal variability. Lastly, DISCOVER-AQ aimed to explore horizontal scales of variability, such as regions with steep gradients and urban plumes.
MISR Level 3 FIRSTLOOK Global Cloud public Product in netCDF covering a month V002
This file contains the MISR Level 3 FIRSTLOOK Global Cloud public Product in netCDF format covering a month
MISR Level 3 Global Cloud public Product in netCDF format covering a day V002
MI3DCLDN_2 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 3 Global Cloud public Product in netCDF format covering a day version 2. It contains the public MISR Level 3 Global Cloud Product in netCDF format covering a day and is a global summary of the Level 1 and Level 2 cloud parameters of interest averaged over a year and reported on a geographic grid; it has multiple data layers, with varying temporal resolutions of 0.5 degrees by 0.5 degrees as well as 2.5 degrees by 2.5 degrees. Data collection for this product is ongoing. The MISR instrument consists of nine push-broom cameras that measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four forward, and four aftward. It takes seven minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm.MISR is designed to view Earth with cameras in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successfully imaged by all nine cameras in 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the effects of sunlight on Earth and distinguish different types of clouds, particles, and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure.
SDG Indicator 11.7.1: Urban Public Space, Availability and Access, 2023 Release
The SDG Indicator 11.7.1: Urban Public Space, Availability and Access, 2023 Release, part of the SDGI collection, measures the average share of the built-up area of a city that is open space for public use for all. UN SDG 11 is "make cities and human settlements inclusive, safe, resilient and sustainable". Aside from environmental benefits, public space can also help improve public health, bolster commUnity, and encourage economic exchange. As one measure of progress towards SDG 11, the UN has established SDG indicator 11.7.1. The indicator was computed by measuring both the proportion of OpenStreetMap (OSM) public space within a given urban center and the proportion of WorldPop gridded population within 400 meters to Open Public Space (OPS). Cities were delineated using the European Commission Joint Research Centre (JRC) Urban Center Database (GHS-UCDB). The SDG indicator 11.7.1 data set provides estimates of the average share of the built-up area of cities that is open space for public use for all for 8,873 urban centers across 180 countries.
MISR Level 3 Component Global Radiance Regional public Product covering a day V002
MI3DRDR_2 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 3 Component Global Radiance Regional public Product covering a day version 2. It contains a global summary of the Level 1 and Level 2 radiance parameters of interest averaged over a day and reported on a geographic grid, with a resolution of 0.5 degree by 0.5 degree. Data collection for this product is complete. The data are for distinct regions associated with associated field campaigns. The MISR instrument consists of nine push-broom cameras that measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four forward, and four aftward. It takes seven minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm.
Archive of Census Related Products (ACRP): 1990 Public Use Microdata Sample Areas (PUMA) Boundary Files
The 1990 Public Use Microdata Sample Areas (PUMA) Boundary Files portion of the Archive of Census Related Products (ACRP) consists of 5% sample (apuma) and 1% sample (bpuma) areas for the mapping of 1990 PUMS data covering the continental United States, Alaska, and Hawaii. These boundary files are created based on equivalency files generated by the Geographic Correspondence Engine (GeoCorr). A national census tract to PUMA geography correspondence file is used in merging the two files resulting in the PUMA geographies. An additional file is also available consisting of geographic centroids for the PUMA coverages calculated by UIC (Urban Information Center/Office of Computing, University of Missouri). This portion of the ACRP is produced by the Center for International Earth Science Information Network (CIESIN).
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.