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13 results for “technology space”
Replication Package for: Mapping Firms' Locations in Technological Space: A Topological Analysis of Patent Statistics
<p>This replication package contains the data and the code to generate the paper’s main results, as well as the Online Appendix, for “Mapping Firms’ Locations in Technological Space: A Topological Analysis of Patent Statistics” by Emerson G. Escolar, Yasuaki Hiraoka, Mitsuru Igami, and Yasin Ozcan (published in <em>Research Policy</em>, volume 52, issue 8, October 2023; full text available online at https://doi.org/10.1016/j.respol.2023.104821).</p>
Measuring the Position and Differentiation of Firms in Technology Space
<p>This website describes data collection, processing, and different open access data files related to measuring the position and differentiation of firms in technology space. The document "0_Data Description Zenodo.pdf" below provides more details. If you use the code or data, please cite the following paper: </p> <p>Arts S, Cassiman B, Hou J (2023). Position and Differentiation of Firms in Technology Space. <em><strong>Management Science </strong></em>69 (12): 7253-7265. <br><a href="http://doi.org/10.1287/mnsc.2023.00282">https://doi.org/10.1287/mnsc.2023.00282</a> </p> <p>The data matching U.S. public firms to U.S. patents comes from the DISCERN patent database (available from: <a href="http://zenodo.org/record/3709084">https://zenodo.org/record/3709084</a>). Please cite the following paper if you use this data: </p> <p>Arora A, Belenzon S, Sheer L (2021) Matching patents to Compustat firms, 1980–2015: Dynamic reassignment, name changes, and ownership structures. <em><strong>Research Policy </strong></em>50(5):104217.</p>
Deep Space Climate Observatory National Institute of Standards and Technology Advanced Radiometer Level 1B Radiance, Version 3
DSCOVR_NISTAR_L1B_3 is the Deep Space Climate Observatory (DSCOVR) National Institute of Standards & Technology Advanced Radiometer (NISTAR) Level 1B version 3 data product. NISTAR is a 4-band radiometer onboard the National Oceanic and Atmospheric Administration's (NOAA) DSCOVR spacecraft located at the Earth-Sun Lagrange-1 (L-1) point, from which vantage it continuously measures the reflected and emitted radiances of the sunlit face of the Earth. These measurements provide an accurate energy balance measurement that improves our understanding of the Earth's radiation budget.NISTAR employs three electrical substitution radiometers and a photodiode to measure reflected sunlight and infrared emission from the Earth. NISTAR measures the absolute irradiance integrated over the entire sunlit face of Earth in four broadband channels minute-by-minute. NISTAR has a 1º field of view (FOV), one large pixel encompassing the whole sunlit side of the Earth, and a 7º field of regard.The four measurement bands and their uses are: 1) Total Radiation – 0.2 µm to 100 µm: total radiant power in the UV, visible, and infrared wavelengths emerging from Earth.2) Total Solar Reflected – 0.2 µm to 4 µm: reflected solar radiance in UV, visible, and near-infrared wavelengths from Earth.3) Near Infrared Solar Reflected – 0.7 µm to 4 µm: reflected near-infrared solar radiation from Earth.4) Photodiode – 0.2 µm to 1.1 µm: tracks the stability of the filters and verifies co-alignment of NISTAR and EPIC.These Level 1B products are the irradiance values computed from Level 1A data collected while the instrument was aimed at the Earth. These data products are in HDF5 format.
Deep Space Climate Observatory National Institute of Standards and Technology Advanced Radiometer Level 1B Radiance Filtered, Version 3
DSCOVR_NISTAR_L1B_FILTERED_3 is the Deep Space Climate Observatory (DSCOVR) National Institute of Standards & Technology Advanced Radiometer (NISTAR) Level 1B Radiance Filtered, Version 3 data product. NISTAR is a 4-band radiometer onboard the National Oceanic and Atmospheric Administration's (NOAA) DSCOVR spacecraft located at the Earth-Sun Lagrange-1 (L-1) point, from which vantage it continuously measures the reflected and emitted radiances of the sunlit face of the Earth. These measurements provide an accurate energy balance measurement that improves our understanding of the Earth’s radiation budget.NISTAR employs three electrical substitution radiometers and a photodiode to measure reflected sunlight and infrared emission from the Earth. NISTAR measures the absolute irradiance integrated over the entire sunlit face of Earth in four broadband channels minute-by-minute. NISTAR has a 1º field of view (FOV), one large pixel that encompasses the entire sunlit side of the Earth, and a 7º field of regard.The four measurement bands and their uses are: 1) Total Radiation – 0.2 µm to 100 µm: total radiant power in the ultraviolet (UV), visible, and infrared wavelengths emerging from Earth.2) Total Solar Reflected – 0.2 µm to 4 µm: reflected solar radiance in UV, visible, and near-infrared wavelengths from Earth.3) Near Infrared Solar Reflected – 0.7 µm to 4 µm: reflected near-infrared solar radiation from Earth.4) Photodiode – 0.2 µm to 1.1 µm: tracks the stability of the filters and to verify co-alignment of NISTAR and Earth Polychromatic Imaging Camera (EPIC).These Level 1B products are the irradiance values computed from Level 1A data collected while the instrument was aimed at the Earth. These data products are in HDF5 format.
Deep Space Climate Observatory National Institute of Standards and Technology Advanced Radiometer Level 1A Radiance, Version 3
DSCOVR_NISTAR_L1A is the Deep Space Climate Observatory (DSCOVR) National Institute of Standards & Technology Advanced Radiometer (NISTAR) Level 1A Radiance, Version 3 data product. NISTAR is a 4-band radiometer onboard THE National Oceanic and Atmospheric Administration's (NOAA) DSCOVR spacecraft located at the Earth-Sun Lagrange-1 (L-1) point, from which vantage it continuously measures the reflected and emitted radiances of the sunlit face of the Earth. These measurements provide an accurate energy balance measurement that improves our understanding of the Earth's radiation budget.NISTAR employs three electrical substitution radiometers and a photodiode to measure reflected sunlight and infrared emission from the Earth. NISTAR measures the absolute irradiance integrated over the entire sunlit face of Earth in four broadband channels minute-by-minute. NISTAR has a 1º field of view (FOV) that acts as one large pixel that encompasses the entire sunlit side of the Earth and a 7º field of regard.The four measurement bands and their uses are: 1) Total Radiation – 0.2 µm to 100 µm: total radiant power in the UV, visible, and infrared wavelengths emerging from Earth.2) Total Solar Reflected – 0.2 µm to 4 µm: reflected solar radiance in UV, visible, and near-infrared wavelengths from Earth.3) Near Infrared Solar Reflected – 0.7 µm to 4 µm: reflected near-infrared solar radiation from Earth.4) Photodiode – 0.2 µm to 1.1 µm: tracks the stability of the filters and verifies co-alignment of NISTAR and EPIC.The Level 1A products have been converted to engineering units but retain one-to-one associations with the items in the raw telemetry from which they were derived. These data products are in HDF5 format.
Visualization of the Multidimensional Volumetric Data-base by Video - Mapping Technology in field of Operational Oceanography (Algerian basin) (zooplankton expressed as carbon in sea water - mass concentration of chllorophyl a in sea water,Wekeo Data ) During 2022 year : (educational support resource in space oceanography)
<p>The multidimensional view of the Earth and its immediate environment that is provided by space borne sensors, operating at many wavelengths and directed at many different phenomena, has revolutionized man's understanding of his planet and the surrounding space environment.<strong>(John H. McElroy.,1985)</strong>,</p> <p>Earth observation satellites measuring in the visible and infrared spectral domain provide a global perspective for many required to determine the role of the ocean in the global climate system, as well as the effects on the ocean of a changing climate <strong>(James A. Yoder and all.,2014)</strong>.</p> <p>Data visualization by video graphics technology is a digital modeling technique also a description or analogy used to help visualize something that cannot be observed directly which exploits the bases of scientific knowledge in a data processing system by the use of mathematical and statistical tools and analysis and forecasting methods to visualize what is hidden behind the data. This work is inspired by the general principle of numerical modeling and data processing, which takes into consideration (the observation of natural phenomena, and the statistical processing of scientific data, which are at the base of the functioning of natural variation)</p> <p> </p> <p><strong>Bibliographic reference:</strong><br> <strong>-Monitoring Earth's Ocean, Land, and Atmosphere from Space-Sensors, Systems, and Applications, edited by Abraham Schnapf, American Institute of Aeronautics and Astronautics, 1985<br> -Optical Radiometry for Ocean Climate Measurements, Elsevier Science & Technology, 2014</strong></p> <p> </p>
Clinical Outcomes of Functional Space Maintainers Designed Using CAD/CAM Technology in Early Loss of the First Primary Molar
ClinicalTrials.gov study NCT06744153. IPD Sharing: NO. Countries: 1. Publications: 0.
Three Dimensional Imaging and Wireless Technologies to Enhance Medical Care in Space
ClinicalTrials.gov study NCT00598767. IPD Sharing: NO. Countries: 1. Publications: 0.
Efficacy of CompuFlo® Technology in Thoracic Epidural Space Identification
ClinicalTrials.gov study NCT05798754. IPD Sharing: NO. Countries: 1. Publications: 0.
Space Technology Research Grants Program
<p> The Space Technology Research Grants Program will accelerate the development of &quot;push&quot; technologies to support the future space science and exploration needs of NASA, other government agencies and the commercial space sector. Innovative efforts with high risk and high payoff will be encouraged. The program is composed of two competitively awarded components.</p>
In-Space Propulsion (346620) Technology Project
Technologies include, but are not limited to, electric and advanced chemical propulsion, propellantless propulsion such as aerocapture and solar sails, sample return ascent vehicles, and Earth return systems. ISP will enable access to more challenging and interesting science destinations, including enabling sample return missions. ISP continues to advance several propulsion technologies in support of future Flagship, Discovery, Mars, and New Frontiers missions. The ISP portfolio continues to invest in high-priority technology areas such as the electric propulsion and aerocapture/Earth entry, descent, and landing technologies identified in the Solar System Exploration Roadmap, the 2010 SMD Science Plan, and the 2011 Planetary Decadal Survey. The ISP project is highly responsive to the Decadal Survey. The ISP project will complete the 7kW NASA's Evolutionary Xenon Thruster (NEXT) Power Processing Unit (PPU) repair in 2012, and will complete NEXT PPU characterization and integration testing and long duration validation testing of the NEXT thruster in 2013. ISP is completing the electric propulsion 4kW High Voltage Hall Accelerator (HiVHAC) thruster development task, is assessing commercial Hall systems, and will start long duration testing of the HIVHAC thruster in 2012. The Hall system power processing unit (PPU) and other subsystem technology development starts development in FY 2012. High Voltage Hall Accelerator (HiVHAC) thruster technology is applicable to Earth return vehicles (ERV), transfer stages, and low-cost electric propulsion systems for Discovery-class missions. In FY 2012 ISP will continue development of NDI techniques and a detailed design for a lightweight propellant tank applicable to the Skycrane. ISP will continue completing Earth Entry Vehicle (EEV ) heat shield micro-meteoroid/orbital debris characteristics studies, a preliminary design of a multi-mission Earth entry vehicle (MMEEV) concept and continuing MMEEV technology development.
Lidar In-Space Technology Experiment (LITE) L1
LITE_L1 data are LIDAR Vertical profile data along the orbital flight path of STS-64.Lidar In-Space Technology Experiment (LITE) used a three-wavelength (355 nm, 532 nm and 1064 nm) backscatter lidar which flew on the space shuttle Discovery as part of the STS-64 mission between September 9 and September 20, 1994. The LITE instrument was designed with the capability to make measurements of clouds, aerosols in the stratosphere and troposphere, the height of the planetary boundary layer, and atmospheric temperature and density in the stratosphere between 25 km and 40 km altitude. Additionally, limited measurements of the surface return strength over both land and ocean were collected to explore retrievals of surface properties.The LITE data were transmitted real time the by Ku-band system through TDRSS downlink to the LITE operations center at JSC. There was a gap in the high-rate coverage between 60 E and 85 E due to the zone of exclusion, where neither TDRSS satellite was in view. Additional random gaps in the data occurred due to telemetry dropouts during data transmission.The LITE L1 data product was formed by processing and reformatting the LITE high-rate telemetry data. The LITE L1 processing steps included:Correcting the profiles for instrument artifacts. Subtracting the DC offset from each lidar profile. Interpolating lidar profiles to a geolocated, common altitude grid, which extends from -4.985 to 40.0 km with a 15 m vertical resolution. Determining the LITE system calibration constants for the 355 nm and 532 nm wavelength profiles.Merged with the LITE L1 lidar profiles are: Identification Parameters, Time Parameters, Location Parameters, Operation Mode Parameters, Validity Flags, Measurement Location Descriptions, Temperature and Pressure Profiles Derived from NMC Data, Instrument Status Information.The archived files are concatenations of about 1000 (depending on data gaps) sets of headers and profiles. Read software programs written in C or IDL are available.
Exosome gene expression technology to understand human health risks in space exploration: applications for SANS
GEO Series GSE199468. Homo sapiens. 46 samples. Type: Expression profiling by high throughput sequencing.
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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.