Find research datasets worth reusing

Peking and Rotterdam on Mission to Reduce Coronary Artery Disease

ClinicalTrials.gov study NCT01653119. IPD Sharing: Not stated. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →

Safety and Effectiveness of the Orsiro Mission 48-mm Sirolimus Eluting Coronary Stent System in Subjects With Coronary Artery Lesions

ClinicalTrials.gov study NCT06779630. IPD Sharing: NO. Countries: 6. Publications: 0.

Accu-Chek missiOn: SMBG in Patients With diAbetes on inSulin Study (COMPASS) - Multiple Center, Open, and Non-randomized Study

ClinicalTrials.gov study NCT01130480. IPD Sharing: Not stated. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →

BIOFLOW-VIII All-comers Orsiro Mission Safety and Performance Registry

ClinicalTrials.gov study NCT04555174. IPD Sharing: NO. Countries: 1. Publications: 0.

Impact of Perceived Control on Operational Strain: a Study of COVID-19 Pandemic Caregivers and Military Personnel on Operational Missions

ClinicalTrials.gov study NCT04517136. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.

Imaging and Omics for Cardiovascular Risk During NASA Deep Space Missions

ClinicalTrials.gov study NCT02465554. IPD Sharing: Not stated. Countries: 1. Publications: 0.

controlledIPD-YESFeb 2026View details →

Mental Health Mission Mood Disorder Cohort Study

ClinicalTrials.gov study NCT07189689. IPD Sharing: YES. Countries: 1. Publications: 0.

controlledIPD-YESFeb 2026View details →

Diagnosis and Its Procedural Pattern Among Patients Who Underwent Surgery at Aloha Medical Mission in Dhankuta, 2018

ClinicalTrials.gov study NCT06969157. IPD Sharing: YES. Countries: 1. Publications: 0.

restrictednotspecifiedMar 2025View details →

Space Mission Human Reliability Analysis (HRA) Project

The purpose of this project is to extend current ground-based Human Reliability Analysis (HRA) techniques to a long-duration, space-based tool to more effectively predict the risk associated with human actions on long-duration missions.&nbsp; By doing so, the agency will be able to focus resources on the risk drivers, such as specific training, conditioning, procedures, exercising, etc. for these future missions.&nbsp; NASA uses Probabilistic Risk Assessments (PRAs) to assess the probability of Loss of Crew (LOC) and Loss of Mission (LOM).&nbsp; PRAs take into account multiple contributing factors and their interactions, such as how the crew, software, and hardware work together to achieve mission objectives.&nbsp; HRA is used to assess the human contribution to risk in PRAs.&nbsp; Current HRA techniques were developed for ground applications using Earth based human reliability data to estimate human error probability.&nbsp; These ground-based HRA techniques have been shown to be a reasonable tool for short-duration space missions, such as Space Shuttle and lunar fly-bys.&nbsp; However, longer-duration beyond Earth orbit missions, such as asteroid and Mars missions, will require crews to be in space for 400 to 900 days with periods of extended autonomy and self-sufficiency.&nbsp; Current indications show higher risk due to fatigue, physiological effects due to extended low gravity environments, and others, which may impact HRA predictions by affecting the crew&rsquo;s cognitive abilities, as well as their physiology, and yield a higher probability for LOC and LOM (e.g. early return).&nbsp; PRAs will need to account for these effects in order to provide management, designers, and the crew our best estimate of risk.With the funding of this IR&amp;D project over the next three years, Safety &amp; Mission Assurance (S&amp;MA) will collaborate with Human Health &amp; Performance (HH&amp;P) to establish what is currently used to assess human reliability for human space programs, identify human performance factors that may be sensitive to long duration space flight, collect available historical data, and update current tools to account for performance shaping factors believed to be important to such missions.&nbsp; JSC&rsquo;s Human System Integration (HSI) initiative is a work in progress to better understand how the crew, software, and hardware work together and ensure that HSI is accounted for in future space mission designs.&nbsp;

restrictednotspecifiedMar 2025View details →

A Mission Simulation and Evaluation Platform for Terrestrial Hydrology using the NASA Land Information System (LIS) Project

Develop a mission simulation and evaluation platform for terrestrial hydrology missions by creating an end-to-end observation system simulation experiment (OSSE) platform by using NASA LIS&rsquo; data assimilation, optimization, and uncertainty estimation tools.&nbsp; This platform will enable: Quantifying the impact of observations through a variety of OSSE configurations and evaluation metrics related to terrestrial hydrologic science and applications Improving the use of products for end-use applications and science, and quantifying the mission risks for GPM and GRACE-II

NASA Shuttle Radar Topography Mission Global 1 arc second NetCDF V003

The Land Processes Distributed Active Archive Center (LP DAAC) is responsible for the archive and distribution of the NASA Making Earth System Data Records for Use in Research Environments ([MEaSUREs](https://earthdata.nasa.gov/about/competitive-programs/measures)) version SRTM, which includes the global 1 arc second (~30 meter) product.NASA Shuttle Radar Topography Mission (SRTM) datasets result from a collaborative effort by the National Aeronautics and Space Administration (NASA) and the National Geospatial-Intelligence Agency (NGA - previously known as the National Imagery and Mapping Agency, or NIMA), as well as the participation of the German and Italian space agencies. The purpose of SRTM was to generate a near-global digital elevation model (DEM) of the Earth using radar interferometry. SRTM was a primary component of the payload on the Space Shuttle Endeavour during its STS-99 mission. Endeavour launched February 11, 2000 and flew for 11 days.SRTM collected data in swaths, which extend from ~30 degrees off-nadir to ~58 degrees off-nadir from an altitude of 233 kilometers (km). These swaths are ~225 km wide, and consisted of all land between 60° N and 56° S latitude. This accounts for about 80% of Earth's total landmass. Each SRTMGL1 data tile contains a mosaic and blending of elevations generated by averaging all "data takes" that fall within that tile. These elevation files use the extension ".HGT", meaning height (such as N37W105.SRTMGL1.HGT). The primary goal of creating the Version 3 data was to eliminate voids that were present in earlier versions of SRTM data. In areas with limited data, existing topographical data were used to supplement the SRTM data to fill the voids. The source of each elevation pixel is identified in the corresponding [SRTMGL1N](https://doi.org/10.5067/MEaSUREs/SRTM/SRTMGL1N.003) product (such as N37W105.SRTMGL1N.NUM).The global 1 arc second SRTM product is also available in NetCDF4 format as the SRTMGL1_NC dataset with the source of each elevation pixel in the corresponding SRTMGL1_NUMNC product.Known Issues* Known issues in the NASA SRTM are described in the following publication: * Rodriguez, E., C. S. Morris, and J. E. Belz (2006), A global assessment of the SRTM performance, Photogramm. Eng. Remote Sens., 72, 249–260. https://doi.org/10.14358/PERS.72.3.249Improvements/Changes from Previous Version* Voids in the Version 3.0 products have been filled with ASTER Global Digital Elevation Model (GDEM) Version 2.0, the Global Multi-resolution Terrain Elevation Data 2010 (GMTED2010), and the National Elevation Dataset (NED).

GOES-R PLT Mission Reports

The GOES-R PLT Mission Reports dataset consists of various reports filed by the scientists during the GOES-R Post Launch Test (PLT) field campaign including flight reports, weather forecasts, mission scientist reports, and plan-of-day reports. The campaign took place from March to May of 2017 in support of post-launch L1B and L2+ product validation of the Advanced Baseline Imager (ABI) and the Geostationary Lightning Mapper (GLM). The GOES-R PLT Mission Reports dataset contains reports from March 13 through May 17, 2017 in PDF, PNG, Microsoft Excel and Word (.xlsx and .docx) format, and KMZ format for display in Google Earth.

CAMEX-4 MISSION REPORTS V1

The Convection And Moisture EXperiment (CAMEX)-4 Mission Reports were filed every day that an aircraft flew in support of the experiment. The reports include a short description of the day's mission, its objective, and notes.

TCSP MISSION REPORTS V1

The TCSP Mission Reports were filed every day that an aircraft flew in support of the experiment. The reports include a short description of the day's mission, its objective and notes. The Tropical Cloud Systems and Processes (TCSP) mission collected data for research and documentation of cyclogenesis, the interaction of temperature, humidity, precipitation, wind and air pressure that creates ideal birthing conditions for tropical storms, hurricanes and related phenomena. The goal of this mission was to help us better understand how hurricanes and other tropical storms are formed and intensify.

restrictednotspecifiedMar 2025View details →

General Mission Analysis Tool Project

OverviewGMAT is a feature rich system containing high fidelity space system models, optimization and targeting, built in scripting and programming infrastructure, and customizable plots, reports and data products, to enable flexible analysis and solutions for custom and unique applications. GMAT can be driven from a fully featured, interactive GUI or from a custom script language. Here are some of GMAT&rsquo;s key features broken down by feature group.Dynamics and Environment Modelling<ul><li>High fidelity dynamics models including harmonic gravity, drag, tides, and relativistic corrections</li><li>High fidelity spacecraft modeling</li><li>Formations and constellations</li><li>Impulsive and finite maneuver modeling and optimization</li><li>Propulsion system modeling including tanks and thrusters</li><li>Solar System modeling including high fidelity ephemerides, custom celestial bodies, libration points, and barycenters</li><li>Rich set of coordinate system including J2000, ICRF, fixed, rotating, topocentric, and many others</li><li>SPICE kernel propagation</li><li>Propagators that naturally synchronize epochs of multiple vehicles and avoid fixed step integration</li><li>and interpolation</li></ul>Plotting, Reporting and Product Generation<ul><li>Interactive 3-D graphics</li><li>Customizable data plots and reports</li><li>Post computation animation</li><li>CCSDS, SPK, and Code-500 ephemeris generation</li></ul>Optimization and Targeting<ul><li>Boundary value targeters</li><li>Nonlinear, constrained optimization</li><li>Custom, scriptable cost functions</li><li>Custom, scriptable nonlinear equality and inequality constraint functions</li><li>Custom targeter controls and constraints</li></ul>Programming Infrastructure<ul><li>User defined variables, arrays, and strings</li><li>User defined equations using MATLAB syntax. (i.e. overloaded array operation)</li><li>Control flow such as If, For, and While loops for custom applications</li><li>Matlab interface</li><li>Built in parameters and calculations in multiple coordinate systems</li></ul>Interfaces<ul><li>Fully featured, interactive GUI that makes simple analysis quick and easy</li><li>Custom scripting language that makes complex, custom analysis possible</li><li>Matlab interface for custom external simulations and calculations</li><li>File interface for the TCOPS Vector Hold</li></ul>

Validation of Ocean Surface Downwelling Irradiance and Its Underwater Propagation for the PACE Mission

This project contributes to the validation of global surface radiation products and diffuse attenuation coefficients (Kd) generated by the PACE mission, essential for quantifying net primary production. The radiation products include instantaneous, daily mean, planar, and scalar fluxes products, in particular daily mean photosynthetically available radiation (PAR). In-situ observations are gathered through a network of automatic stations measuring hyperspectral downward planar irradiance (Ed(0+)) at selected AERONET-OC sites, and BGC-Argo profilers equipped with hyperspectral Ed sensors. BGC-Argo data were collected and made freely available by the International Argo Program and the national programs that contribute to it (https://argo.ucsd.edu, https://www.ocean-ops.org). The Argo Program is part of the Global Ocean Observing System https://doi.org/10.17882/42182. Link to BGC-Argo GDAC for raw float data: https://data-argo.ifremer.fr/aux/coriolis/.

Satellite Laser Ranging (SLR) ILRS Report Exploder distributing regular mission related reports.

SLReport is a mail exploder to distribute regular mission related reports (e.g., campaign status reports, weekly LAGEOS reports, etc.). Each individual message is automatically numbered sequentially and archived for reference.

Leveraging the Hawaii Ocean Time-series program for validation of the PACE Mission in oligotrophic waters

In this project, we leverage the near-monthly, 5-day long expeditions to oligotrophic waters approximately 100 km from Oahu, Hawaii, conducted by the Hawaii Ocean Time-series (HOT) program. We will participate in ~30 HOT cruises across all seasons over a 3-year period, amounting to ~ 150 days of high-quality collection of a suite of essential parameters for PACE Mission validation.

NASA Shuttle Radar Topography Mission Global 3 arc second number V003

The Land Processes Distributed Active Archive Center (LP DAAC) is responsible for the archive and distribution of NASA Making Earth System Data Records for Use in Research Environments ([MEaSUREs](https://earthdata.nasa.gov/about/competitive-programs/measures)) SRTM, which includes the global 3 arc second (~90 meter) number product. The NASA SRTM data sets result from a collaborative effort by the National Aeronautics and Space Administration (NASA) and the National Geospatial-Intelligence Agency (NGA - previously known as the National Imagery and Mapping Agency, or NIMA), as well as the participation of the German and Italian space agencies. This collaboration aims to generate a near-global digital elevation model (DEM) of Earth using radar interferometry. SRTM was the primary (and virtually only) payload on the STS-99 mission of the Space Shuttle Endeavour, which launched February 11, 2000 and flew for 11 days.The SRTM swaths extended from ~30 degrees off-nadir to ~58 degrees off-nadir from an altitude of 233 kilometers (km), creating swaths ~225 km wide, and consisted of all land between 60° N and 56° S latitude to account for 80% of Earth's total landmass.Ancillary one-byte (0 to 255) "NUM" (number) files were produced for NASA SRTM Version 3. These files have names corresponding to the elevation files, except with the extension ".NUM" (such as N37W105.NUM). The elevation files use the extension ".HGT", meaning height (such as N37W105.HGT). The separate NUM file indicates the source of each DEM pixel; the number of ASTER scenes used (up to 100), if ASTER; and the number of SRTM data takes (up to 24), if SRTM. The NUM file for both 3 arc second products (whether sampled or averaged) references the 3 x 3 center pixel. Note that NUMs less than 6 are water and those greater than 10 are land. The 3 arc second data was derived from the 1 arc second using sampling and averaging methods. (See Figure 3 in the User Guide)The global 3 arc second number product is also available in NetCDF4 format as the SRTMGL3_NUMNC dataset and can be used with the corresponding SRTMGL3_NC elevation product.Known Issues* Known issues in the NASA SRTM are described in the following publication: * Rodriguez, E., C. S. Morris, and J. E. Belz (2006), A global assessment of the SRTM performance, Photogramm. Eng. Remote Sens., 72, 249–260. https://doi.org/10.14358/PERS.72.3.249Improvements/Changes from Previous Version* Voids in the Version 3.0 products have been filled with ASTER Global Digital Elevation Model (GDEM) Version 2.0, the Global Multi-resolution Terrain Elevation Data 2010 (GMTED2010), and the National Elevation Dataset (NED).

NASA Shuttle Radar Topography Mission Global 1 arc second Number NetCDF V003