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8,460 results for “MONITORING”
ACE Electron Proton Alpha Monitor (EPAM) LEFS/LEMS MFSA, Solar Wind Frame, Spin-Averaged Z>1 Ion Fluxes, 17 min Averages
17-min-averaged ion fluxes from the MF Spectrum Analyzer of the ACE/EPAM instrument. All energies thresholds take into account the incident particle type, shielding, and inactive dead-layer of the solid state detector. All fluxes are background corrected and are in the solar wind rest frame.
ACE Electron Proton Alpha Monitor (EPAM) LEMS120 MFSA, Spacecraft Frame, Sectored Z>1 Ion Fluxes, 17 min Averages
17-min-averaged sectored Z>1 ion fluxes from the MF Spectrum Analyzer of the ACE/EPAM LEMS120 instrument. All energies thresholds take into account the incident particle type, shielding, and inactive dead-layer of the solid state detector. All fluxes are background corrected and are in the spacecraft rest frame.
USGS Group on Earth Observations (GEO) Global Agricultural Monitoring (GLAM) Ukraine
The objective of GEO is to fulfill a vision of a world where decisions and actions are informed by coordinated, comprehensive and sustained Earth Observation (EO). This is being pursued mainly through the added value of coordinating existing institutions, organized communities, space agencies, insitu monitoring agencies, scientific institutions, research centres, universities, modelling centres, technology developers and other groups that deal with one or more aspects of EO. To reach this overarching goal, GEO focuses on capacity development in three dimensions: infrastructure, individuals and institutions. In the field of agriculture, the general goal is to promote the utilization of Earth observations for advancing sustainable agriculture, aquaculture and fisheries. Key issues include early warning, risk assessment, food security, market efficiency and combating desertification. (Source: http://www.research-europe.com/index.php/2011/08/joao-soares-secretariat-expert-for-agriculture-group-on-earth-observations/)
ACE Electron Proton Alpha Monitor (EPAM) LEMS30 MFSA, Solar Wind Frame, Sectored Proton Fluxes, 17 min Averages
17-min-averaged sectored proton fluxes from the MF Spectrum Analyzer of the ACE/EPAM LEMS30 instrument. All energies thresholds take into account the incident particle type, shielding, and inactive dead-layer of the solid state detector. All fluxes are background corrected and are in the solar wind rest frame.
USGS Group on Earth Observations (GEO) Global Agricultural Monitoring (GLAM) Pakistan
The objective of GEO is to fulfil a vision of a world where decisions and actions are informed by coordinated, comprehensive and sustained Earth Observation (EO). This is being pursued mainly through the added value of co-ordinating existing institutions, organised communities, space agencies, in-situ monitoring agencies, scientific institutions, research centres, universities, modelling centres, technology developers and other groups that deal with one or more aspects of EO. To reach this overarching goal, GEO focuses on capacity development in three dimensions: infrastructure, individuals and institutions. In the field of agriculture, the general goal is to promote the utilization of Earth observations for advancing sustainable agriculture, aquaculture and fisheries. Key issues include early warning, risk assessment, food security, market efficiency and combating desertification. (Source: http://www.research-europe.com/index.php/2011/08/joao-soares-secretariat-expert-for-agriculture-group-on-earth-observations/)
ACE Electron Proton Alpha Monitor (EPAM) LEMS120 MFSA, Spacecraft Frame, Sectored Proton Fluxes, 17 min Averages
17-min-averaged sectored proton fluxes from the MF Spectrum Analyzer of the ACE/EPAM LEMS120 instrument. All energies thresholds take into account the incident particle type, shielding, and inactive dead-layer of the solid state detector. All fluxes are background corrected and are in the spacecraft rest frame.
USGS Group on Earth Observations (GEO) Global Agricultural Monitoring (GLAM) Australia
The objective of GEO is to fulfil a vision of a world where decisions and actions are informed by coordinated, comprehensive and sustained Earth Observation (EO). This is being pursued mainly through the added value of co-ordinating existing institutions, organised communities, space agencies, in-situ monitoring agencies, scientific institutions, research centres, universities, modelling centres, technology developers and other groups that deal with one or more aspects of EO. To reach this overarching goal, GEO focuses on capacity development in three dimensions: infrastructure, individuals and institutions. In the field of agriculture, the general goal is to promote the utilization of Earth observations for advancing sustainable agriculture, aquaculture and fisheries. Key issues include early warning, risk assessment, food security, market efficiency and combating desertification. (Source: http://www.research-europe.com/index.php/2011/08/joao-soares-secretariat-expert-for-agriculture-group-on-earth-observations/)
ACE Electron Proton Alpha Monitor (EPAM) LEMS30 MFSA, Spacecraft Frame, Sectored Z>1 Ion Fluxes, 17 min Averages
17-min-averaged sectored Z>1 ion fluxes from the MF Spectrum Analyzer of the ACE/EPAM LEMS30 instrument. All energies thresholds take into account the incident particle type, shielding, and inactive dead-layer of the solid state detector. All fluxes are background corrected and are in the spacecraft rest frame.
ACE Electron Proton Alpha Monitor (EPAM) Ephemeris Data, 5 min Averages
5min-averaged ephemeris data for the ACE spacecraft, Earth, and Jupiter. Also included are the orientation of the ACE spin-axis, and a rotation matrix for transforming from HEE cartisian coordinates to RTN coordinates.
ACE Electron Proton Alpha Monitor (EPAM) LEMS120 MFSA, Spacecraft Frame, Sectored Z>1 Ion Fluxes, Hourly Averages
Hourly-averaged sectored Z>1 ion fluxes from the MF Spectrum Analyzer of the ACE/EPAM LEMS120 instrument. All energies thresholds take into account the incident particle type, shielding, and inactive dead-layer of the solid state detector. All fluxes are background corrected and are in the spacecraft rest frame.
ACE Electron Proton Alpha Monitor (EPAM) LEFS150 MFSA, Solar Wind Frame, Sectored Electron Fluxes, Hourly Averages
Hourly-averaged sectored electron fluxes from the MF Spectrum Analyzer of the ACE/EPAM LEFS150 instrument. All energies thresholds take into account the incident particle type, shielding, and inactive dead-layer of the solid state detector. All fluxes are background corrected and are in the solar wind rest frame.
ACE Electron Proton Alpha Monitor (EPAM) LEMS30 MFSA, Spacecraft Frame, Sectored Proton Fluxes, 17 min Averages
17-min-averaged sectored proton fluxes from the MF Spectrum Analyzer of the ACE/EPAM LEMS30 instrument. All energies thresholds take into account the incident particle type, shielding, and inactive dead-layer of the solid state detector. All fluxes are background corrected and are in the spacecraft rest frame.
ACE Electron Proton Alpha Monitor (EPAM) LEFS60 MFSA, Spacecraft Frame, Sectored Electron Fluxes, Daily Averages
Daily-averaged sectored electron fluxes from the MF Spectrum Analyzer of the ACE/EPAM LEFS60 instrument. All energies thresholds take into account the incident particle type, shielding, and inactive dead-layer of the solid state detector. All fluxes are background corrected and are in the spacecraft rest frame.
ACE Electron Proton Alpha Monitor (EPAM) LEFS60 MFSA, Solar Wind Frame, Sectored Electron Fluxes, Hourly Averages
Hourly-averaged sectored electron fluxes from the MF Spectrum Analyzer of the ACE/EPAM LEFS60 instrument. All energies thresholds take into account the incident particle type, shielding, and inactive dead-layer of the solid state detector. All fluxes are background corrected and are in the solar wind rest frame.
ACE Electron Proton Alpha Monitor (EPAM) LEFS/LEMS MFSA, Spacecraft Frame, Spin-Averaged Proton Fluxes, Hourly Averages
Hourly-averaged proton fluxes from the MF Spectrum Analyzer of the ACE/EPAM instrument. All energies thresholds take into account the incident particle type, shielding, and inactive dead-layer of the solid state detector. All fluxes are background corrected and are in the spacecraft rest frame.
Laser welding multispectral coaxial monitoring - raw data
<p>Raw data (.dat) containing thermopgraphy data of some single laser welding trials as they were observed by coaxial integrated NIR and S/MWIR cameras and different IR filters.</p>
OLD Supplementary Material for the Paper "Design Recommendations for Self-Monitoring in the Workplace: Studies in Software Development"
<p>Contains the supplementary material for the paper "Design Recommendations for Self-Monitoring in the Workplace: Studies in Software Development" submitted to CSCW'18. All contents are explained in the file README.txt.</p> <p><strong>Abstract:</strong><br> One way to improve the productivity of knowledge workers is to increase their self-awareness about productivity at work through self-monitoring. Yet, little is known about expectations of, the experience with and the impact of self-monitoring in the workplace. To address this gap, we studied software developers, as one community of knowledge workers. We used an iterative, feedback-driven development approach (N=20) and a survey (N=413) to infer design elements for workplace self-monitoring, which we then implemented as a technology probe called WorkAnalytics. We field-tested these design elements during a three-week study with software development professionals (N=43). Based on the results of the field study, we present design recommendations for self-monitoring in the workplace, such as using experience sampling to increase the awareness about work and to create richer insights, the need for a large variety of different metrics to retrospect about work, and that actionable insights, enriched with benchmarking data from co-workers, are likely needed to foster productive behavior change at work.</p> <p> </p>
Outcomes of primary vs delayed strategy of implanting a cardiac monitor for unexplained syncope
<p>Online Supplementary Files</p>
A contribution to real-time space weather monitoring based on scintillation observations and IoT
<p>Here, all field measurements acquired for the article entitled: ''A contribution to real-time space weather monitoring based on scintillation observations and IoT'', by Santos Freitas et al (2022) in Advances in Space Research are made available. The Scintapp is also available for download. Details on the data format can be found in section 2 of the aforementioned article.</p>
Monitoring of the Reissenschuh landslide based on periodical DGNSS measurements
<p>Results of the periodical measurement campaigns for monitoring the displacement of the Reissenschuh landslide in the Schmirn valley (Tyrol, Austria) at 31 survey points starting in May 2016</p>
ScienceDex guides
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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.