Articles | Volume 10, issue 7
https://doi.org/10.5194/bg-10-4957-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/bg-10-4957-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
24 Jul 2013
Research article |
| 24 Jul 2013
Automated quality control methods for sensor data: a novel observatory approach
J. R. Taylor
National Ecological Observatory Network, Boulder, Colorado, USA
Institute for Arctic and Alpine Research, University of Colorado, Boulder, Colorado, USA
H. L. Loescher
National Ecological Observatory Network, Boulder, Colorado, USA
Institute for Arctic and Alpine Research, University of Colorado, Boulder, Colorado, USA
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- Seasonal Precipitation Legacy Effects Determine the Carbon Balance of a Semiarid Grassland J. Delgado‐Balbuena et al. 10.1029/2018JG004799
- A Transparent and Transferable Framework for Tracking Quality Information in Large Datasets D. Smith et al. 10.1371/journal.pone.0112249
- The impact of data quality defects on clinical decision-making in the intensive care unit O. Kramer et al. 10.1016/j.cmpb.2021.106359
- Taking the pulse of a continent: expanding site‐based research infrastructure for regional‐ to continental‐scale ecology D. Peters et al. 10.1890/ES13-00295.1
- Seasonal controlling factors of CO2 exchange in a semiarid shrubland in the Chihuahuan Desert, Mexico D. Flores-Rentería et al. 10.1016/j.scitotenv.2022.159918
- Quality-Based Combination of Multi-Source Precipitation Data A. Jurczyk et al. 10.3390/rs12111709
- NEON and STREON: opportunities and challenges for the aquatic sciences W. McDowell 10.1086/679489
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- Automated high frequency monitoring of Lake Maggiore through <em>in situ</em> sensors: system design, field test and data quality control R. Tiberti et al. 10.4081/jlimnol.2021.2011
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- Research on Data Mining Algorithm of Meteorological Observation Based on Data Quality Control Algorithm R. Qing-Dao-Er-Ji & N. Li 10.1007/s11277-018-5258-8
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- Open source software for visualization and quality control of continuous hydrologic and water quality sensor data J. Horsburgh et al. 10.1016/j.envsoft.2015.04.002
- Partitioning inorganic carbon fluxes from paired O2–CO2 gas measurements in a Neotropical headwater stream, Costa Rica N. Marzolf et al. 10.1007/s10533-022-00954-4
- An Integrated Toolbox for the Engagement of Citizens in the Monitoring of Water Ecosystems M. Krommyda et al. 10.3390/electronics9040671
- Assessing subjectivity in environmental sensor data post processing via a controlled experiment A. Jones et al. 10.1016/j.ecoinf.2018.05.001
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- Integrating Environmental Science and the Economy: Innovative Partnerships between the Private Sector and Research Infrastructures A. Chabbi et al. 10.3389/fenvs.2017.00049
- Quality control and bias adjustment of crowdsourced wind speed observations J. Chen et al. 10.1002/qj.4146
- A New Automatic Monitoring Network of Surface Waters in Greece: Preliminary Data Quality Checks and Visualization Y. Panagopoulos et al. 10.3390/hydrology8010033
- High Resolution On-Road Air Pollution Using a Large Taxi-Based Mobile Sensor Network Y. Sun et al. 10.3390/s22166005
- A Quality Control Methodology for Heterogeneous Vehicular Data Streams K. Remoundou et al. 10.3390/s22041550
- Automatic quality control of telemetric rain gauge data providing quantitative quality information (RainGaugeQC) K. Ośródka et al. 10.5194/amt-15-5581-2022
32 citations as recorded by crossref.
- The Tao of open science for ecology S. Hampton et al. 10.1890/ES14-00402.1
- Examining indicators and methods for quantifying ozone exposure to vegetation H. Mao et al. 10.1016/j.atmosenv.2023.120195
- eddy4R 0.2.0: a DevOps model for community-extensible processing and analysis of eddy-covariance data based on R, Git, Docker, and HDF5 S. Metzger et al. 10.5194/gmd-10-3189-2017
- Automatic quality control of telemetric rain gauge data for operational applications at IMGW-PIB I. Otop et al. 10.1051/itmconf/20182300028
- Traceable measurements and calibration: a primer on uncertainty analysis J. Csavina et al. 10.1002/ecs2.1683
- Seasonal Precipitation Legacy Effects Determine the Carbon Balance of a Semiarid Grassland J. Delgado‐Balbuena et al. 10.1029/2018JG004799
- A Transparent and Transferable Framework for Tracking Quality Information in Large Datasets D. Smith et al. 10.1371/journal.pone.0112249
- The impact of data quality defects on clinical decision-making in the intensive care unit O. Kramer et al. 10.1016/j.cmpb.2021.106359
- Taking the pulse of a continent: expanding site‐based research infrastructure for regional‐ to continental‐scale ecology D. Peters et al. 10.1890/ES13-00295.1
- Seasonal controlling factors of CO2 exchange in a semiarid shrubland in the Chihuahuan Desert, Mexico D. Flores-Rentería et al. 10.1016/j.scitotenv.2022.159918
- Quality-Based Combination of Multi-Source Precipitation Data A. Jurczyk et al. 10.3390/rs12111709
- NEON and STREON: opportunities and challenges for the aquatic sciences W. McDowell 10.1086/679489
- Assessment of surface ozone products from downscaled CAMS reanalysis and CAMS daily forecast using urban air quality monitoring stations in Iran N. Kaffashzadeh & A. Aliakbari Bidokhti 10.5194/gmd-17-4155-2024
- From NEON Field Sites to Data Portal: A Community Resource for Surface–Atmosphere Research Comes Online S. Metzger et al. 10.1175/BAMS-D-17-0307.1
- System for automated Quality Control (SaQC) to enable traceable and reproducible data streams in environmental science L. Schmidt et al. 10.1016/j.envsoft.2023.105809
- Automated high frequency monitoring of Lake Maggiore through <em>in situ</em> sensors: system design, field test and data quality control R. Tiberti et al. 10.4081/jlimnol.2021.2011
- Expanding the scale of aquatic sciences: the role of the National Ecological Observatory Network (NEON) K. Goodman et al. 10.1086/679459
- Research on Data Mining Algorithm of Meteorological Observation Based on Data Quality Control Algorithm R. Qing-Dao-Er-Ji & N. Li 10.1007/s11277-018-5258-8
- Building African Ecosystem Research Network for sustaining local ecosystem goods and services A. Yevide et al. 10.1007/s11769-015-0767-9
- Open source software for visualization and quality control of continuous hydrologic and water quality sensor data J. Horsburgh et al. 10.1016/j.envsoft.2015.04.002
- Partitioning inorganic carbon fluxes from paired O2–CO2 gas measurements in a Neotropical headwater stream, Costa Rica N. Marzolf et al. 10.1007/s10533-022-00954-4
- An Integrated Toolbox for the Engagement of Citizens in the Monitoring of Water Ecosystems M. Krommyda et al. 10.3390/electronics9040671
- Assessing subjectivity in environmental sensor data post processing via a controlled experiment A. Jones et al. 10.1016/j.ecoinf.2018.05.001
- Reviews and syntheses: Australian vegetation phenology: new insights from satellite remote sensing and digital repeat photography C. Moore et al. 10.5194/bg-13-5085-2016
- Assessment of an Ultrasonic Water Stage Monitoring Sensor Operating in an Urban Stream Y. Panagopoulos et al. 10.3390/s21144689
- An innovative approach to correct data from in-situ turbidity sensors for surface water monitoring M. Yousif et al. 10.1016/j.envsoft.2022.105461
- Integrating Environmental Science and the Economy: Innovative Partnerships between the Private Sector and Research Infrastructures A. Chabbi et al. 10.3389/fenvs.2017.00049
- Quality control and bias adjustment of crowdsourced wind speed observations J. Chen et al. 10.1002/qj.4146
- A New Automatic Monitoring Network of Surface Waters in Greece: Preliminary Data Quality Checks and Visualization Y. Panagopoulos et al. 10.3390/hydrology8010033
- High Resolution On-Road Air Pollution Using a Large Taxi-Based Mobile Sensor Network Y. Sun et al. 10.3390/s22166005
- A Quality Control Methodology for Heterogeneous Vehicular Data Streams K. Remoundou et al. 10.3390/s22041550
- Automatic quality control of telemetric rain gauge data providing quantitative quality information (RainGaugeQC) K. Ośródka et al. 10.5194/amt-15-5581-2022
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