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2,249 results for “hourly”
Hubbard Brook Experimental Forest: Hourly Temperature Under Canopy by HOBO sensors at Valleywide Plots, 2013-2020
Air temperature at 1.5 m agl is measured at hourly intervals under the canopy at every fifth valleywide plot plus one more between watersheds 1 and 4. The sensors are maintained by bird crews and volunteers. These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the US Forest Service, Northern Research Station.
High-frequency, hourly, and daily measurements from Lake Bonney Meteorological Station (BOYM), McMurdo Dry Valleys, Antarctica (1993-2025, ongoing)
As part of the McMurdo Dry Valleys Long-Term Ecological Research program, a spatially distributed, long-term climate monitoring network was established across the McMurdo Dry Valleys region of Antarctica, consisting of fourteen research-grade weather stations that continuously measure a standard suite of environmental parameters. Ecosystem processes in this region are strongly regulated by climatic drivers that exhibit high variability across both time and space, making accurate measurement of environmental variables at high temporal and spatial resolution essential to understanding the biophysical dynamics of this polar desert ecosystem. This data package includes measurements from the Lake Bonney Meteorological Station (BOYM), which was established in 1993 on the southern shore of the East Lobe of Lake Bonney in Taylor Valley. Parameters include air temperature, relative humidity, barometric pressure, photosynthetically active radiation, incoming and outgoing shortwave and longwave radiation, wind speed and direction, surface distance, as well as soil bulk electrical conductivity, dielectric permittivity, temperature, and volumetric water content. Data are provided at high frequency (typically 15-minute intervals), along with hourly and daily summaries. Users should note that summary statistics may be affected by periods of missing data. Since there is no universally accepted standard for handling gaps in time-series data, users are encouraged to work with the high-frequency data and establish their own criteria for acceptable data completeness to minimize any potential bias.
High-frequency, hourly, and daily measurements from Lake Brownworth Meteorological Station (BRHM), McMurdo Dry Valleys, Antarctica (1994-2025, ongoing)
As part of the McMurdo Dry Valleys Long-Term Ecological Research program, a spatially distributed, long-term climate monitoring network was established across the McMurdo Dry Valleys region of Antarctica, consisting of fourteen research-grade weather stations that continuously measure a standard suite of environmental parameters. Ecosystem processes in this region are strongly regulated by climatic drivers that exhibit high variability across both time and space, making accurate measurement of environmental variables at high temporal and spatial resolution essential to understanding the biophysical dynamics of this polar desert ecosystem. This data package includes measurements from the Lake Brownworth Meteorological Station (BRHM), which was established in 1994 west of Lake Brownworth in Wright Valley. Parameters include air temperature, relative humidity, photosynthetically active radiation, incoming and outgoing shortwave radiation, wind speed and direction, surface distance, as well as soil bulk electrical conductivity, dielectric permittivity, temperature, and volumetric water content. Data are provided at high frequency (typically 15-minute intervals), along with hourly and daily summaries. Users should note that summary statistics may be affected by periods of missing data. Since there is no universally accepted standard for handling gaps in time-series data, users are encouraged to work with the high-frequency data and establish their own criteria for acceptable data completeness to minimize any potential bias.
High-frequency, hourly, and daily measurements from Canada Glacier Meteorological Station (CAAM), McMurdo Dry Valleys, Antarctica (1994-2025, ongoing)
As part of the McMurdo Dry Valleys Long-Term Ecological Research program, a spatially distributed, long-term climate monitoring network was established across the McMurdo Dry Valleys region of Antarctica, consisting of fourteen research-grade weather stations that continuously measure a standard suite of environmental parameters. Ecosystem processes in this region are strongly regulated by climatic drivers that exhibit high variability across both time and space, making accurate measurement of environmental variables at high temporal and spatial resolution essential to understanding the biophysical dynamics of this polar desert ecosystem. This data package includes measurements from the Canada Glacier Meteorological Station (CAAM), which was established in 1994 within the ablation zone of Canada Glacier, between the Hoare and Fryxell Basins of Taylor Valley, McMurdo Dry Valleys, Antarctica. Parameters include air temperature, relative humidity, incoming and outgoing shortwave radiation, wind speed and direction, and surface (snow/ice) temperature. Data are provided at high frequency (typically 15-minute intervals), along with hourly and daily summaries. Users should note that summary statistics may be affected by periods of missing data. Since there is no universally accepted standard for handling gaps in time-series data, users are encouraged to work with the high-frequency data and establish their own criteria for acceptable data completeness to minimize any potential bias.
High-frequency, hourly, and daily measurements from Commonwealth Glacier Meteorological Station (COHM), McMurdo Dry Valleys, Antarctica (1993-2025, ongoing)
As part of the McMurdo Dry Valleys Long-Term Ecological Research program, a spatially distributed, long-term climate monitoring network was established across the McMurdo Dry Valleys region of Antarctica, consisting of fourteen research-grade weather stations that continuously measure a standard suite of environmental parameters. Ecosystem processes in this region are strongly regulated by climatic drivers that exhibit high variability across both time and space, making accurate measurement of environmental variables at high temporal and spatial resolution essential to understanding the biophysical dynamics of this polar desert ecosystem. This data package includes measurements from the Commonwealth Glacier Meteorological Station (COHM), which was established in 1993 within the ablation zone of Commonwealth Glacier in the Fryxell Basin of Taylor Valley, McMurdo Dry Valleys, Antarctica. Parameters include air temperature, relative humidity, incoming and outgoing shortwave and longwave radiation, wind speed and direction, surface (snow/ice) temperature, and surface distance. Data are provided at high frequency (typically 15-minute intervals), along with hourly and daily summaries. Users should note that summary statistics may be affected by periods of missing data. Since there is no universally accepted standard for handling gaps in time-series data, users are encouraged to work with the high-frequency data and establish their own criteria for acceptable data completeness to minimize any potential bias.
High-frequency, hourly, and daily measurements from Explorers Cove Meteorological Station (EXEM), McMurdo Dry Valleys, Antarctica (1997-2025, ongoing)
As part of the McMurdo Dry Valleys Long-Term Ecological Research program, a spatially distributed, long-term climate monitoring network was established across the McMurdo Dry Valleys region of Antarctica, consisting of fourteen research-grade weather stations that continuously measure a standard suite of environmental parameters. Ecosystem processes in this region are strongly regulated by climatic drivers that exhibit high variability across both time and space, making accurate measurement of environmental variables at high temporal and spatial resolution essential to understanding the biophysical dynamics of this polar desert ecosystem. This data package includes measurements from the Explorers Cove Meteorological Station (EXEM), which was established in 1997 near Coral Ridge in the Fryxell Basin of Taylor Valley, McMurdo Dry Valleys, Antarctica. Parameters include air temperature, relative humidity, photosynthetically active radiation, incoming and outgoing shortwave radiation, wind speed and direction, as well as soil bulk electrical conductivity, dielectric permittivity, temperature, and volumetric water content. Data are provided at high frequency (typically 15-minute intervals), along with hourly and daily summaries. Users should note that summary statistics may be affected by periods of missing data. Since there is no universally accepted standard for handling gaps in time-series data, users are encouraged to work with the high-frequency data and establish their own criteria for acceptable data completeness to minimize any potential bias.
High-frequency, hourly, and daily measurements from Lake Fryxell Meteorological Station (FRLM), McMurdo Dry Valleys, Antarctica (1993-2025, ongoing)
As part of the McMurdo Dry Valleys Long-Term Ecological Research program, a spatially distributed, long-term climate monitoring network was established across the McMurdo Dry Valleys region of Antarctica, consisting of fourteen research-grade weather stations that continuously measure a standard suite of environmental parameters. Ecosystem processes in this region are strongly regulated by climatic drivers that exhibit high variability across both time and space, making accurate measurement of environmental variables at high temporal and spatial resolution essential to understanding the biophysical dynamics of this polar desert ecosystem. This data package includes measurements from the Lake Fryxell Meteorological Station (FRLM), which was established in 1993 on an island in the middle of Lake Fryxell in the Fryxell Basin of Taylor Valley, McMurdo Dry Valleys, Antarctica. Parameters include air temperature, relative humidity, barometric pressure, photosynthetically active radiation, incoming and outgoing shortwave radiation, wind speed and direction, surface distance, as well as soil bulk electrical conductivity, dielectric permittivity, temperature, and volumetric water content. Data are provided at high frequency (typically 15-minute intervals), along with hourly and daily summaries. Users should note that summary statistics may be affected by periods of missing data. Since there is no universally accepted standard for handling gaps in time-series data, users are encouraged to work with the high-frequency data and establish their own criteria for acceptable data completeness to minimize any potential bias.
High-frequency, hourly, and daily measurements from Lake Hoare Meteorological Station (HOEM), McMurdo Dry Valleys, Antarctica (1987-2025, ongoing)
As part of the McMurdo Dry Valleys Long-Term Ecological Research program, a spatially distributed, long-term climate monitoring network was established across the McMurdo Dry Valleys region of Antarctica, consisting of fourteen research-grade weather stations that continuously measure a standard suite of environmental parameters. Ecosystem processes in this region are strongly regulated by climatic drivers that exhibit high variability across both time and space, making accurate measurement of environmental variables at high temporal and spatial resolution essential to understanding the biophysical dynamics of this polar desert ecosystem. This data package includes measurements from the Lake Hoare Meteorological Station (HOEM), which was established in 1987 on an island in the middle of Lake Hoare in the Hoare Basin of Taylor Valley, McMurdo Dry Valleys, Antarctica. Parameters include air temperature, relative humidity, barometric pressure, photosynthetically active radiation, incoming and outgoing shortwave radiation, wind speed and direction, surface distance, as well as soil bulk electrical conductivity, dielectric permittivity, temperature, and volumetric water content. Data are provided at high frequency (typically 15-minute intervals), along with hourly and daily summaries. Users should note that summary statistics may be affected by periods of missing data. Since there is no universally accepted standard for handling gaps in time-series data, users are encouraged to work with the high-frequency data and establish their own criteria for acceptable data completeness to minimize any potential bias.
High-frequency, hourly, and daily measurements from Howard Glacier Meteorological Station (HODM), McMurdo Dry Valleys, Antarctica (1993-2025, ongoing)
As part of the McMurdo Dry Valleys Long-Term Ecological Research program, a spatially distributed, long-term climate monitoring network was established across the McMurdo Dry Valleys region of Antarctica, consisting of fourteen research-grade weather stations that continuously measure a standard suite of environmental parameters. Ecosystem processes in this region are strongly regulated by climatic drivers that exhibit high variability across both time and space, making accurate measurement of environmental variables at high temporal and spatial resolution essential to understanding the biophysical dynamics of this polar desert ecosystem. This data package includes measurements from the Howard Glacier Meteorological Station (HODM), which was established in 1993 within the ablation zone of Howard Glacier in the Fryxell Basin of Taylor Valley, McMurdo Dry Valleys, Antarctica. Parameters include air temperature, relative humidity, incoming and outgoing shortwave radiation, wind speed and direction, and surface distance. Data are provided at high frequency (typically 15-minute intervals), along with hourly and daily summaries. Users should note that summary statistics may be affected by periods of missing data. Since there is no universally accepted standard for handling gaps in time-series data, users are encouraged to work with the high-frequency data and establish their own criteria for acceptable data completeness to minimize any potential bias.
High-frequency, hourly, and daily measurements from Taylor Glacier Meteorological Station (TARM), McMurdo Dry Valleys, Antarctica (1994-2025, ongoing)
As part of the McMurdo Dry Valleys Long-Term Ecological Research program, a spatially distributed, long-term climate monitoring network was established across the McMurdo Dry Valleys region of Antarctica, consisting of fourteen research-grade weather stations that continuously measure a standard suite of environmental parameters. Ecosystem processes in this region are strongly regulated by climatic drivers that exhibit high variability across both time and space, making accurate measurement of environmental variables at high temporal and spatial resolution essential to understanding the biophysical dynamics of this polar desert ecosystem. This data package includes measurements from the Taylor Glacier Meteorological Station (TARM), which was established in 1994 on the lower section of Taylor Glacier in the Bonney Basin of Taylor Valley, McMurdo Dry Valleys, Antarctica. Parameters include air temperature, relative humidity, incoming and outgoing shortwave radiation, wind speed and direction, surface (snow/ice) temperature, and surface distance. Data are provided at high frequency (typically 15-minute intervals), along with hourly and daily summaries. Users should note that summary statistics may be affected by periods of missing data. Since there is no universally accepted standard for handling gaps in time-series data, users are encouraged to work with the high-frequency data and establish their own criteria for acceptable data completeness to minimize any potential bias.
High-frequency, hourly, and daily measurements from Lake Vanda Meteorological Station (VAAM), McMurdo Dry Valleys, Antarctica (1994-2025, ongoing)
As part of the McMurdo Dry Valleys Long-Term Ecological Research program, a spatially distributed, long-term climate monitoring network was established across the McMurdo Dry Valleys region of Antarctica, consisting of fourteen research-grade weather stations that continuously measure a standard suite of environmental parameters. Ecosystem processes in this region are strongly regulated by climatic drivers that exhibit high variability across both time and space, making accurate measurement of environmental variables at high temporal and spatial resolution essential to understanding the biophysical dynamics of this polar desert ecosystem. This data package includes measurements from the Lake Vanda Meteorological Station (VAAM), which was established in 1994 on the eastern shore of Lake Vanda in Wright Valley, McMurdo Dry Valleys, Antarctica. Parameters include air temperature, relative humidity, photosynthetically active radiation, incoming and outgoing shortwave radiation, wind speed and direction, surface distance, as well as soil bulk electrical conductivity, dielectric permittivity, temperature, and volumetric water content. Data are provided at high frequency (typically 15-minute intervals), along with hourly and daily summaries. Users should note that summary statistics may be affected by periods of missing data. Since there is no universally accepted standard for handling gaps in time-series data, users are encouraged to work with the high-frequency data and establish their own criteria for acceptable data completeness to minimize any potential bias.
High-frequency, hourly, and daily measurements from Lake Vida Meteorological Station (VIAM), McMurdo Dry Valleys, Antarctica (1995-2025, ongoing)
As part of the McMurdo Dry Valleys Long-Term Ecological Research program, a spatially distributed, long-term climate monitoring network was established across the McMurdo Dry Valleys region of Antarctica, consisting of fourteen research-grade weather stations that continuously measure a standard suite of environmental parameters. Ecosystem processes in this region are strongly regulated by climatic drivers that exhibit high variability across both time and space, making accurate measurement of environmental variables at high temporal and spatial resolution essential to understanding the biophysical dynamics of this polar desert ecosystem. This data package includes measurements from the Lake Vida Meteorological Station (VIAM), which was established in 1995 on the western shore of Lake Vida in Victoria Valley, McMurdo Dry Valleys, Antarctica. Parameters include air temperature, relative humidity, photosynthetically active radiation, incoming and outgoing shortwave radiation, wind speed and direction, surface distance, as well as soil bulk electrical conductivity, dielectric permittivity, temperature, and volumetric water content. Data are provided at high frequency (typically 15-minute intervals), along with hourly and daily summaries. Users should note that summary statistics may be affected by periods of missing data. Since there is no universally accepted standard for handling gaps in time-series data, users are encouraged to work with the high-frequency data and establish their own criteria for acceptable data completeness to minimize any potential bias.
High-frequency, hourly, and daily measurements from Friis Hills Meteorological Station (FRSM), McMurdo Dry Valleys, Antarctica (2010-2024, ongoing)
As part of the McMurdo Dry Valleys Long-Term Ecological Research program, a spatially distributed, long-term climate monitoring network was established across the McMurdo Dry Valleys region of Antarctica, consisting of fourteen research-grade weather stations that continuously measure a standard suite of environmental parameters. Ecosystem processes in this region are strongly regulated by climatic drivers that exhibit high variability across both time and space, making accurate measurement of environmental variables at high temporal and spatial resolution essential to understanding the biophysical dynamics of this polar desert ecosystem. This data package includes measurements from the Friis Hills Meteorological Station (FRSM), which was established in 2010 on top of Friis Hills in Taylor Valley, McMurdo Dry Valleys, Antarctica. Parameters include air temperature, relative humidity, barometric pressure, and wind speed and direction. Data are provided at high frequency (typically 15-minute intervals), along with hourly and daily summaries. Users should note that summary statistics may be affected by periods of missing data. Since there is no universally accepted standard for handling gaps in time-series data, users are encouraged to work with the high-frequency data and establish their own criteria for acceptable data completeness to minimize any potential bias.
High-frequency, hourly, and daily measurements from Mount Fleming Meteorological Station (FLMM), McMurdo Dry Valleys, Antarctica (2011-2025, ongoing)
As part of the McMurdo Dry Valleys Long-Term Ecological Research program, a spatially distributed, long-term climate monitoring network was established across the McMurdo Dry Valleys region of Antarctica, consisting of fourteen research-grade weather stations that continuously measure a standard suite of environmental parameters. Ecosystem processes in this region are strongly regulated by climatic drivers that exhibit high variability across both time and space, making accurate measurement of environmental variables at high temporal and spatial resolution essential to understanding the biophysical dynamics of this polar desert ecosystem. This data package includes measurements from the Mount Fleming Meteorological Station (FLMM), which was established in 2011 on top of Mount Fleming in Wright Valley, McMurdo Dry Valleys, Antarctica. Parameters include air temperature, relative humidity, barometric pressure, and wind speed and direction. Data are provided at high frequency (typically 15-minute intervals), along with hourly and daily summaries. Users should note that summary statistics may be affected by periods of missing data. Since there is no universally accepted standard for handling gaps in time-series data, users are encouraged to work with the high-frequency data and establish their own criteria for acceptable data completeness to minimize any potential bias.
High-frequency, hourly, and daily measurements from Miers Valley Meteorological Station (MISM), McMurdo Dry Valleys, Antarctica (2012-2024, ongoing)
As part of the McMurdo Dry Valleys Long-Term Ecological Research program, a spatially distributed, long-term climate monitoring network was established across the McMurdo Dry Valleys region of Antarctica, consisting of fourteen research-grade weather stations that continuously measure a standard suite of environmental parameters. Ecosystem processes in this region are strongly regulated by climatic drivers that exhibit high variability across both time and space, making accurate measurement of environmental variables at high temporal and spatial resolution essential to understanding the biophysical dynamics of this polar desert ecosystem. This data package includes measurements from the Miers Valley Meteorological Station (MISM), which was established in 2012 southeast of Lake Miers in Miers Valley, McMurdo Dry Valleys, Antarctica. Parameters include air temperature, relative humidity, barometric pressure, photosynthetically active radiation, incoming and outgoing shortwave radiation, wind speed and direction, as well as soil bulk electrical conductivity, dielectric permittivity, temperature, and volumetric water content. Data are provided at high frequency (typically 15-minute intervals), along with hourly and daily summaries. Users should note that summary statistics may be affected by periods of missing data. Since there is no universally accepted standard for handling gaps in time-series data, users are encouraged to work with the high-frequency data and establish their own criteria for acceptable data completeness to minimize any potential bias.
Climate data for saddle data loggers (CR23X and CR1000), 2009 - 2021, hourly.
Climatological data were collected from the saddle climate station on Niwot Ridge (3525 m elevation) throughout the year. From 2000-06-24 to 2012-03-24, data were recorded using a Campbell Instruments CR23X data logger. Subsequently, data were recorded using a Campbell Instruments CR1000 data logger. This data set includes data beginning in 2009. Maximum and minimum values were recorded instantaneously, with a sampling interval of 5 seconds. Hourly means and totals were calculated from 720 individual measurements. The CR23X logger was programmed to generate both hourly and daily output. The CR1000 logger generated daily, hourly, and minute data until September 2014, and 10 minute and minute data thereafter. This dataset discontinued, see methods for instructions on accessing the 10 minute data instead.
SBC LTER: Reef: Benthic Composition Experiment: hourly photon irradiance at the seafloor
Photosynthetically Active Radiation (PAR) sensors measure photosynthetic light levels in both water and air in micromoles of photons per meter squared per minute (μmol m-2 min-1). PAR light sensors are deployed on the seafloor at the center of each BCE plot across 5 sampling sites (Arroyo Quemado, Naples, Isla Vista, Mohawk, Carpentaria) along the Santa Barbara Coast and 2 sites at Santa Cruz Island (San Pedro Point, and Cavern Point). Sampling began December 2021 and is conducted seasonally every 3 months. An additional sensor is placed in air on the roof at the Marine Science Biotech building near Campus Point which acts as a calibration control when analyzing underwater light measurements. Data collected from these PAR sensors are used to model primary production by both giant kelp and understory algae in terms of light availability and to compare the differences between control and experimental plots cleared of giant kelp. Plot 1 represents the control plot with no giant kelp removal and plot 2 represents the kelp clearing plot where all giant kelp are removed. Additionally, understory algae are removed seasonally from half of the rock slates for both plots (Plot 1 rock plates #1-6 and Plot 2 rock plates #13-18). Continuous light data are contained in one table depicting seasonally collected light measurements across all sites and sampling periods.
SBC LTER: Ocean: Ocean hourly temperature at nearshore locations along the Northern Channel Islands in the Santa Barbara Channel, ongoing since 2000
Ocean in-situ temperature data were collected at nearshore sites along the Northern Channel Islands in the Santa Barbara Channel. The earliest temperature records started in April 2000. The temporal coverage varies at each site. At the start of the temperature data collection, the tidbit or hobo sensors were deployed on a mooring line at approximate 3 m, 9m, and 14 m nominal depths, and the sampling interval is 2 minutes. In 2013, the 3 m and 9 m temperature sensors were terminated and only 14 m sensors continued. In addition, the sampling interval changed to 15 minutes. This data package presents hourly average in-situ temperature data. The original raw data (2-min interval) between 2000-2010 were published on DataOne https://search.dataone.org/portals/PISCO. Data can be viewed and accessed by zooming in the Northern Channel Islands in the Santa Barbara Channel region and searching the keyword "physical oceanography moored temperature data". These datasets were funded and managed by The Partnership for Interdisciplinary Studies of Coastal Oceans (PISCO). In 2013, the maintenance of the sensor deployment was transferred to NOAA National Marine Sanctuaries, and Santa Barbara Coastal LTER has been responsible for data download and processing.
Great Britain's hourly natural gas demand at a local level (distribution level) from 2017-01 to 2018-03
<p>An hourly local natural gas demand dataset created for the UK Energy Research Centre's Phase 3 FlexiNET project.</p> <p>A briefing note using part of the data can be found - http://www.ukerc.ac.uk/publications/local-gas-demand-vs-electricity-supply.html</p> <p>The dataset has been aggregated from the hourly operational demand data from Great Britain's four Gas Distribution Network companies (GDNs) and provides an empirical record rather than modelled data.</p> <p>Columns ['utc_index', 'utc_aware', 'utcdiff', 'localtime_aware', 'localtime_naive_text', 'localtimediff', 'gb_demand_kWh_cleaned']</p> <p>Column descriptions:</p> <p>utc_index: datetime in utc</p> <p>utc_aware: datetime in utc timezone aware</p> <p>utcdiff: difference between subsequent values for utc_aware column (as check step value - should only be 0 days 01:00:00.000000000)</p> <p>localtime_aware: London local time</p> <p>localtime_naive_text: London local time as text</p> <p>localtimediff: difference between subsequent values for localtime_aware column (as check step value - should have one value per year of 02:00 hours for clock forward in March to British Summer Time, 00:00 for clock backward in October, and 01:00 for all other values)</p> <p>gb_demand_kWh_cleaned: the aggregate demand for natural gas through the local gas networks in kWh over the hour</p>
A long term hourly eddy covariance dataset of consistently processed CO2 and H2O Fluxes from the Tibetan Alpine Steppe at Nam Co (2005 - 2019)
<p>The data set contains nearly 15 years of eddy covariance data from an alpine steppe ecosystem on the central Tibetan Plateau. The data was processed following standardized quality control methods to allow for comparability between the different years of our record and with other data sets. To ensure meaningful estimates of ecosystem atmosphere exchange, careful application of the following correction procedures and analyses was necessary: (1) Due to the remote location, continuous maintenance of the eddy covariance (EC) system was not always possible, so that cleaning and calibration of the sensors was performed irregularly. Furthermore, the high proportion of bare soil and high wind speeds led to accumulation of dirt in the measurement path of the infrared gas analyzer (IRGA). The installation of the sensor in such a challenging environment resulted in a considerable drift in CO2 and H2O gas density measurements. If not accounted for, this concentration bias may distort the estimation of the carbon uptake. We applied a modified drift correction procedure following Fratini et al. (2014) which, instead of a linear interpolation between calibration dates, uses the CO2 concentration measurements from the Mt. Waliguan atmospheric observatory as reference time series. (2) We applied rigorous quality filtering of the calculated fluxes to retain only fluxes which represent actual physical processes. (3) During the long measurement period, there were several buildings constructed in the near vicinity of the EC system. We investigated the influence of these obstacles on the turbulent flow regime to identify fluxes with uncertain land cover contribution and exclude them from subsequent computations. (4) We calculated the de-facto standard correction for instrument surface heating during cold conditions (hereafter called sensor self heating correction) following Burba et al. (2008) and a revision of the original method following Frank and Massman (2020). (5) Subsequently, we applied the traditional and widely used gap filling procedure following Reichstein et al. (2005) to provide a more complete overview of the annual net ecosystem CO2 exchange. (6) We estimated the flux uncertainty by calculating the random flux error (RE) following Finkelstein and Sims (2001) and by using the standard deviation of the fluxes used for gap filling (NEE_fsd) as a measure for spatial and temporal variation.</p> <p>References:</p> <ol> <li>Burba, G. G., McDermitt, D. K., Grelle, A., Anderson, D., and XU, L. (2008). Addressing the influence of instrument surface heat exchange on the measurements of CO2 flux from open-path gas analyzers, Global Change Biology, 14, 1854-1876, <a href="https://doi.org/10.1111/j.1365-2486.2008.01606.x">https://doi.org/10.1111/j.1365-2486.2008.01606.x</a>.</li> <li>Finkelstein, P. L. and Sims, P. F. (2001). Sampling error in eddy correlation flux measurements, J. Geophys. Res. Atmos., 106, 3503–3509, doi:10.1029/2000JD900731.</li> <li>Frank, J. M. and Massman, W. J.: A new perspective on the open-path infrared gas analyzer self-heating correction, Agricultural and Forest Meteorology, 290, 107986, doi:10.1016/j.agrformet.2020.107986, 2020.</li> <li>Fratini, G., McDermitt, D. K., and Papale, D. (2004). Eddy-covariance flux errors due to biases in gas concentration measurements: origins, quantification and correction, Biogeosciences, 11, 1037-1051, <a href="https://doi.org/10.5194/bg-11-1037-2014">https://doi.org/10.5194/bg-11-1037-2014</a>.</li> <li>Reichstein, M., Falge, E., Baldocchi, D., Papale, D., Aubinet, M., Berbigier, P., Bernhofer, C., Buchmann, N., Gilmanov, T., Granier, A., Grunwald, T., Havrankova, K., Ilvesniemi, H., Janous, D., Knohl, A., Laurila, T., Lohila, A., Loustau, D., Matteucci, G., Meyers, T., Miglietta, F., Ourcival, J.-m., Pumpanen, J., Rambal, S., Rotenberg, E., Sanz, M., Tenhunen, J., Seufert, G., Vaccari, F., Vesala, T., Yakir, D., and valentini, R. (20050. On the separation of net ecosystem exchange into assimilation and ecosystem respiration: review and improved algorithm, Global Change Biology, 11, 1424-1439, <a href="https://doi.org/10.1111/j.1365-2486.2005.001002.x">https://doi.org/10.1111/j.1365-2486.2005.001002.x</a>.</li> </ol>
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.