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858 results for “monitoring data”
Processing and Distribution of Hyperspectral Radiometer Data from Ships of Opportunity for Monitoring Phytoplankton in the Ocean
Ocean-colour sensors mounted on satellites can view the entire ocean over a period of a few days. However, to calibrate these sensors and validate the data, satellite observations must be compared with accurate and reliable in situ measurements, collected at the ocean surface. There are many regions of the ocean where these in situ measurements are rarely collected. Ocean-colour sensors can be mounted on research vessels and ships of opportunity. In this project, an ocean-colour sensor (Seabird HyperSAS Solar Tracker) was mounted on a yacht that visits remote regions of the planet where few observations have been collected. This project aims to process this data to a level for use by the scientific community for scientific applications, such as satellite validation.
NARSTO EPA Supersite (SS) Houston, Texas Air Quality Study 2000 (TexAQS2000) Texas Natural Resource Conservation Commission (TNRCC) continuous ambient monitoring stations (CAMS) Air Quality Data
NARSTO_EPA_HOUSTON_TEXAQS2000_CAMS_DATA is the North American Research Strategy for Tropospheric Ozone (NARSTO) Environmental Protection Agency (EPA) Supersite (SS) Houston, Texas Air Quality Study 2000 (TexAQS2000) Texas Natural Resource Conservation Commission (TNRCC) continuous ambient monitoring stations (CAMS) Air Quality Data. This data set contains 5-minute air quality measurements collected in Texas during August and September 2000 at 85 CAMS during TEXAQS2000. Measurements include carbon monoxide (CO), sulfur dioxide (SO2), nitrogen oxide (NO), nitrogen dioxide (NO2), oxides of nitrogen (NOx), total reactive nitrogen species (NOy), ozone, particulate matter (PM) 2.5 mass, hydrogen sulfide (H2S), wind speed, wind direction, maximum wind gust, air temperature, dewpoint temperature, humidity, precipitation, surface pressure, radiation, and visibility. CAMS are operated by the Texas Commission on Environmental Quality (TCEQ), local city or county governments, or private monitoring networks. Important monitoring site information: The site information data table in each of the 85 data files may not contain the latest TCEQ site information. A companion file site information spreadsheet (.csv) that lists data for all 85 sites is the latest TCEQ site information. The site information data tables in the 85 data files will not be updated. The 85 site spreadsheet companion document is the official source of site data, and this data is listed in the TEXAQS2000 CAMS guide document.NARSTO, which has since disbanded, was a public/private partnership, whose membership spanned across government, utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission was to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are still available.
Retrospective analysis of anthropogenic change in Midwest reservoirs: Integrating earth observing data with statewide reservoir monitoring programs
The dataset comprises in-situ hyperspectral data acquired using the on-water approach (aka skylight-blocked approach), using a combination of a downwelling irradiance sensor and an upwelling radiance sensor. These sensors are specifically TriOS RAMSES hyperspectral radiometers, each associated with two calibration files. The data collection was conducted across different reservoirs in the state of Missouri USA. This NASA-funded project directly addresses how Earth-observing satellite data can better inform critical links between the biogeochemical and optical properties of inland waters. It achieves this by using satellite imagery and in-situ measurements from two long-running water quality monitoring programs in the state of Missouri that annually record more than one thousand measurements of nitrogen, phosphorus, chlorophyll-a, Secchi depth, particulate organic and inorganic matter, and cyanotoxins across 100 reservoirs.
BeXRB Monitor Data
This is a monitor using data from Swift/BAT, MAXI and Fermi/GBM instruments. Click on the table header to change the sorting behaviour. Color code for the probability: (rising flux , no change, decreasing flux) The average flux is calculated as the average of the last 3 days of data, without taking the errors into account. The fermi flux is not given in mCrab. Please note that the accuracy of the probabilities is limited by the accuracy of the data used. Release of Friday, the 17th of October 2014 Last updated at 14:04:07 UT Created as an ESAC trainee project by Eva Laplace. Supervisors: Peter Kretschmar, Emilio Salazar and Miguel Arregui. Contact: peter.kretschmar@esa.int
NARSTO Pacific 2001 Air Quality Study (PAC2001) Greater Vancouver Regional District (GVRD) and and Canadian Air and Precipitation Monitoring Network (CAPMoN) Supplemental Air Quality Data
NARSTO_PAC2001_GVRD_CAPMON_AIR_QUAL_DATA is the North American Research Strategy for Tropospheric Ozone (NARSTO) Pacific 2001 Air Quality Study (PAC2001) Greater Vancouver Regional District (GVRD) and and Canadian Air and Precipitation Monitoring Network (CAPMoN) Supplemental Air Quality Data product. Data was obtained from January 1, 2001 to January 1, 2002. Air quality monitoring data routinely collect by the GVRD CAPMoN during the sampling period of PAC2001, are included as supplemental data for PAC2001.The GVRD monitoring network of 20 sites continued operation during the PAC2001 field study period, with enhanced quality assurance (QA) and quality control (QC) activities. At all sites, meteorological measurements were carried out at a 5-min time resolution. At a few specially equipped sites, particle mass PM10 were measured using tapered element oscillating microbalances (TEOMs). The network data complements the special study sites and form a spatial distribution of the pollutants. CAPMoN is a non-urban air quality monitoring network with siting criteria designed to ensure that the measurement locations are regionally representative (not affected by local sources of air pollution).The objectives were to determine the spatial patterns and establish the temporal trends of pollutants related to acid rain; provide for long-range transport model evaluations and effects research (aquatic, terrestrial, building materials and health); ensure the compatibility of federal, provincial and U.S. measurements; and study atmospheric processes. Scientists involved with the measurement of atmospheric pollution in urban centers would consider most CAPMoN sites to be remote and pristine. There are currently 19 measurement sites in Canada and 1 in the U.S. The Saturna Island site is located in the PAC2001 area of interest. PAC2001 was conducted from 1 August to 31 September 2001 in the Lower Fraser Valley (LFV), British Columbia, Canada. The study consisted of individual research projects organized to address several issues on ambient particulate matter and ozone that are important to policy makers. A special issue of Atmospheric Environment [Vol. 38(34), Nov 2004] described specific study objectives (Li, 2004) and presented a series of results papers from the field study. The ground sampling sites during the study were (1) Cassiar Tunnel, (2) Slocan Park, (3) Langley Ecole Lochiel, (4) Sumas Eagle Ridge, and (5) Golden Ears Provincial Park. Aloft measurements were taken from a Convair 580 and a Cessna 188. Selected measurement data were compiled for each site and aircraft and are archived as site-specific data sets.North American Research Strategy for Tropospheric Ozone (NARSTO), which has since disbanded, was a public/private partnership, whose membership spanned across government, utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission was to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are still available.
Data used for "Effects of environmental change on population growth: monitoring time-varying carrying capacity in free-ranging spotted hyenas"
<p>These data are to be used within the context of the R code provided <a title="link to GitHub" href="https://github.com/hyenaproject/Bailey2024K" target="_blank" rel="noopener">here</a>. See the linked GitHub repository for details.</p>
Data from: Using acoustic monitoring to assess insectivorous bat richness and activity in a sub-tropical savanna
<p><span>Understanding insectivorous bat diversity and activity is crucial for conservation efforts, particularly in under-researched regions like sub-tropical savannas. This study aimed to assess bat species richness and seasonal activity in the MalaMala Game Reserve, located in the southern region of the Greater Kruger National Park (KNP), South Africa. We conducted acoustic monitoring using ultrasonic detectors over two distinct seasons: the wet season (January to March) and the dry season (August) in 2022. Species identification was performed using Kaleidoscope software, complemented by manual verification to minimize misidentifications, particularly for species with overlapping echolocation characteristics. Our findings revealed 16 species across six families, representing 40% of the bat species known in KNP. The Molossidae family was the most dominant, followed by Vespertilionidae, while the Hipposideridae family recorded the fewest calls, likely due to their high-frequency echolocation calls that attenuate rapidly. Notably, our findings aligned with previous research indicating year-round presence of insectivorous bats in savanna woodlands. Seasonal variations in bat activity were observed, with significantly higher activity during the wet season, likely due to increased insect abundance and reduced thermoregulatory costs. Our study provides a critical benchmark for future bat research in the Greater KNP landscape, highlighting the importance of continued monitoring to detect changes in bat populations and inform conservation strategies.</span></p>
Figure 2. BEAST chronogram from a in Molecular data extend Australian Cricotopus midge (Chironomidae) species diversity, and provide a phylogenetic hypothesis for biogeography and freshwater monitoring
Figure 2. BEAST chronogram from a data set of single representatives per species/clade that corresponds with Table 1. Lettered nodes are those for which time to most recent common ancestor (tmrca) was estimated and correspond with Table 1; black stars indicate nodes to which prior calibrations were applied. The time scale is in millions of years before present.
Intrinsic Capacity and Functional Ability Monitoring With an Integrated Data Eco-System for Healthy Ageing.
ClinicalTrials.gov study NCT06270979. IPD Sharing: UNDECIDED. Countries: 0. Publications: 0.
EMR Data to Assess Monitoring of Patients Treated With Quetiapine
ClinicalTrials.gov study NCT01793324. IPD Sharing: Not stated. Countries: 0. Publications: 0.
OBPM_HARMONY: Physiological Data Recording Over 24 Hours Using the Continual Optical Hilo Blood Pressure Monitor and an Ambulatory Blood Pressure Monitor
ClinicalTrials.gov study NCT07099716. IPD Sharing: UNDECIDED. Countries: 0. Publications: 0.
Data Driven Behavior Intervention and Medical Outcome Evaluation of Patients' Comprehensive Monitoring
ClinicalTrials.gov study NCT04966754. IPD Sharing: UNDECIDED. Countries: 0. Publications: 0.
Study on Cardiac Output Evaluation Based on Wearable Monitoring Data
ClinicalTrials.gov study NCT06938893. IPD Sharing: UNDECIDED. Countries: 0. Publications: 0.
ACE Electron Proton Alpha Monitor (EPAM) Hourly-Averaged Flux Data
This descriptor identifies an ensemble of 26 data sets of hourly-averaged, background-corrected energetic particle fluxes. Various data sets have fluxes that are: spin-averaged or spin-sectored; if sectored then from one of four telescope apertures (LEMS30, LEFS60, LEMS120, LEFS150); of ~63-4430 keV protons or ~40-360 keV electrons or 100-6500 keV/n Z>1 ions where any one of these energy ranges is partitioned into 10-25 energy bins; in the spacecraft rest frame or solar wind rest frame. Each of the 26 data sets is individually described in the VHO/VEPO interface at https://vho.gsfc.nasa.gov.
ACE Solar Wind Electron Proton Alpha Monitor (SWEPAM) 64-Second Level 2 Data
Solar Wind Ion parameters from ACE/SWEPAM. Level 2 data, 64-second averages. Parameters include proton density, temperature (radial component) and flow speed, flow velocity vector in GSE, GSM and RTN coordinates, and alpha to proton density ratio. ACE position vectors in GSE and GSM are included. The data are accessible via ftp in HDF and CDF from the ACE Science Center and CDAWeb, respectively, and in ASCII format from the value-added interfaces at those sites. Hourly averaged L2 plasma parameters are also available from these access paths. The "parameter keys" given below are as used by CDAWeb.
ACE Electron Proton Alpha Monitor (EPAM) 17-min-Averaged Flux Data
This descriptor identifies an ensemble of 26 data sets of 17-min-averaged, background-corrected energetic particle fluxes. Various data sets have fluxes that are: spin-averaged or spin-sectored; if sectored then from one of four telescope apertures (LEMS30, LEFS60, LEMS120, LEFS150); of ~63-4430 keV protons or ~40-360 keV electrons or 100-6500 keV/n Z>1 ions where any one of these energy ranges is partitioned into 10-25 energy bins; in the spacecraft rest frame or solar wind rest frame. Each of the 26 data sets is individually described in the VHO/VEPO interface at https://vho.gsfc.nasa.gov.
Scalable, Asynchronous, Distributed Eigen-Monitoring of Astronomy Data Streams
In this paper, we develop a distributed algorithm for monitoring the principal components (PCs) for next generation of astronomy petascale data pipelines such as the Large Synoptic Survey Telescopes (LSST). This telescope will take repeated images of the night sky every 20 s, thereby generating 30 terabytes of calibrated imagery every night that will need to be co-analyzed with other astronomical data stored at different locations around the world. Event detection, classification, and isolation in such data sets may provide useful insights to unique astronomical phenomenon displaying astrophysically significant variations: quasars, supernovae, variable stars, and potentially hazardous asteroids. However, performing such data mining tasks is a challenging problem for such high-throughput distributed data streams. In this paper, we propose a highly scalable and distributed asynchronous algorithm for monitoring the PCs of such dynamic data streams and discuss a prototype web-based system PADMINI (Peer-to-Peer Astronomy Data Mining) which implements this algorithm for use by the astronomers. We demonstrate the algorithm on a large set of distributed astronomical data to accomplish well-known astronomy tasks such as measuring variations in the fundamental plane of galaxy parameters. The proposed algorithm is provably correct (i.e., converges to the correct PCs without centralizing any data) and can seamlessly handle changes to the data or the network. Real experiments performed on Sloan Digital Sky Survey (SDSS) catalogue data show the effectiveness of the algorithm.
ACE Electron Proton Alpha Monitor (EPAM) 5-min Level 2 Data
ACE EPAM Electron Proton Alpha Monitor (EPAM) Level 2 intensities at 5-min time resolution. Calibrated science quality data. The data are accessible via ftp in HDF and CDF from the ACE Science Center and CDAWeb, respectively, and in ASCII format from the value-added interfaces at those sites. The "parameter keys" given below are as used by CDAWeb.
ACE Electron Proton Alpha Monitor (EPAM) Hourly Count Rate Data
This descriptor identifies an ensemble of 8 data sets of EPAM count rates averaged over 1-hour intervals in each of several energy bins. One data set (PG65) has spin-averaged rates while the other 7 have rates in each of 4 or 8 spin sectors. Each of the 7 sectored data sets is specific to a given one of the several EPAM instruments (apertures). Each of the 8 data sets is individually described in the VHO/VEPO interface at https://vho.gsfc.nasa.gov.
ACE Electron Proton Alpha Monitor (EPAM) 12-sec Level 2 Data
ACE EPAM Electron Proton Alpha Monitor (EPAM) Level 2 intensities at 12-sec time resolution. Calibrated science quality data. The data are accessible via ftp in HDF and CDF from the ACE Science Center and CDAWeb, respectively, and in ASCII format from the value-added interfaces at those sites. The "parameter keys" given below are as used by CDAWeb.
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.