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8,460 results for “MONITORING”
Ground surface temperature data 2007-2021 at different sites of the PERMATHERMAL monitoring network in Livingston and Deception Islands, SouthShetland Archipelago, Antarctica.
<p>Ground Surface Temperature (GST) corrected data adquired between 2007 and 2021 at different stations of the PERMATHERMAL monitoring network at Livingston and Deception Islands, South Shetland Archipelago, Antarctica.</p> <p>(To be completed)</p>
IRIDIA-AF, a large paroxysmal atrial fibrillation long-term electrocardiogram monitoring database
<h2>Abstract</h2><p>Atrial fibrillation (AF) is the most common sustained heart arrhythmia in adults. Holter monitoring, a long-term 2-lead electrocardiogram (ECG), is a key tool available to cardiologists for AF diagnosis. Machine learning (ML) and deep learning (DL) models have shown great capacity to automatically detect AF in ECG and their use as medical decision support tool is growing. Training these models rely on a few open and annotated databases. We present a new Holter monitoring database from patients with paroxysmal AF with 167 records from 152 patients, acquired from an outpatient cardiology clinic from 2006 to 2017 in Belgium. AF episodes were manually annotated and reviewed by an expert cardiologist and a specialist cardiac nurse. Records last from 19 hours up to 95 hours, divided into 24-hour files. In total, it represents 24 million seconds of annotated Holter monitoring, sampled at 200 Hz. This dataset aims at expanding the available options for researchers and offers a valuable resource for advancing ML and DL use in the field of cardiac arrhythmia diagnosis.</p><h2>Article</h2><p><a href="https://www.nature.com/articles/s41597-023-02621-1">https://www.nature.com/articles/s41597-023-02621-1</a></p><h2>Repository</h2><p><a href="https://github.com/cedricgilon/iridia-af">https://github.com/cedricgilon/iridia-af</a></p><h2>Versions history</h2><ul><li>2023-10-04: v1.0.1 – remove hidden files from .zip archive</li><li>2023-07-26: v1.0.0 – initial release</li></ul><h2>Keywords</h2><p>Paroxysmal Atrial Fibrillation, AF, long-term electrocardiogram, ECG, Holter monitoring, Database, Dataset, IRIDIA, IRIDIA-AF</p>
NWO and ZonMw Open Access Monitor 2022 - dataset
<p>This is the dataset underlying the report "NWO and ZonMw Open Access Monitor 2022". </p><p>Openly accessible metadata was used to research if and how publications from research funded by NWO and ZonMw were open access in 2022. 93% of the articles that were detected have been made available open access using one of the available routes (NWO: 93,1%; ZonMw: 92,5%). This is a slight increase compared to 2021 (90%) and 2020 (85%). At least 64% of the included NWO and ZonMw publications of 2022 (3.688 out of 5.763) has been published via Gold, Hybrid, under a transformative agreement, or Green OA, with a CC-BY license and is therefore fully Plan S compliant. </p>
Mohonk Preserve Grassland Field Monitoring 2017-2021
Between 2017-2021, Mohonk Preserve inventoried vegetation in its old-fields and grasslands. The goal was to increase understanding and knowledge of the Preserve’s vegetation communities so informed management strategies could be developed. This data provides information on species composition; occurrence frequency; vegetation type (woody, forb, grass, sedge, etc.); species percent cover (dominance); and species listed, invasive, and pollinator importance status. Five fields have been sampled thus far: Spring Farm (SF, plots [n]= 96); Glory Hill (GF, n= 45); Testimonial Gateway (TG, n= 66); Brook Farm (BF, n= 36); and Pine Farm (PF, n= 27). Soil samples were taken from three sites in 2018: Spring Farm, Glory Hill, and Testimonial Gateway. All data collection occurred between the months of May and August. There are plans to add more plots to sites Brook Farm, Pine Farm, and a field that has not yet been sampled, Klein kill Farm. There are no immediate plans to resample Spring Farm, Glory Hill, or Testimonial Gateway.
Mohonk Preserve Phenology Monitoring 1912-present
Phenology records around Mohonk Lake date back to the early 1900s, when Daniel and Keith Smiley started noting the date of spring bird arrivals. The Preserve’s Daniel Smiley Research Center continues this tradition of natural history observation and has expanded the scope of the Smileys’ phenology records to monitor seasonal changes in plants and other fauna at Mohonk Preserve on local, regional, and national levels. Alongside our long-term weather data, these data provide insight into the changing communities in the Mohonk Preserve in response to changing climate. These data include first occurrence dates for each of the taxa and associated life stages in the vicinity of Mohonk Preserve and were collected by staff at the Daniel Smiley Research Center.
Petit-lac-Saint-François surface water quality monitoring data
Water Quality samples were collected at Lake Inlet, Outlet, and In-Lake sites between October 2009 and September 2020. Water Samples were collected on a weekly, same-day-of-the-week basis, between 10 a.m. and noon, year-round. Field sampling was conducted by the same technician during the entire period to ensure method consistency and sampling frequency was maintained throughout, except for the winter of 2017, during which sampling was suspended. Epilimnion samples were collected using a swing sampler with a wide neck, polyethylene bottle (Nasco Sampling, Madison, WI, USA), and composited in an acid-washed, opaque, 4-L polyethylene bottle pre-conditioned with lake water. Four grab samples were taken to account for spatial heterogeneity that can be substantial within distances of a few meters, particularly when surface phytoplankton blooms are present. The grab samples were collected by tilting the swing sampler bottle approximately 45 degrees and allowing it to fill as it was submerged 8 to 15 cm below the surface. During periods of ice cover, access holes were drilled or cut through the ice to collect samples. For dissolved parameters, samples were filtered on the same day as collection. Quality control measures, including field, transport, and laboratory blanks, consisting of HPLC grade water and preservative where required, as well as split samples for interlaboratory comparisons, were included quarterly in the sampling program along with regular samples. These were used to establish practicable detection limits and to monitor for levels of contaminants to which field samples might be exposed.
Interagency Ecological Program: Phytoplankton monitoring in the Sacramento-San Joaquin Bay-Delta, collected by the Environmental Monitoring Program, 2008-2024
The State Water Resources Control Board (SWRCB) sets water quality objectives to protect beneficial uses of water in the Sacramento-San Joaquin Delta and Suisun Bay. These objectives are met by establishing standards mandated in water right permits issued to the Department of Water Resources and U.S. Bureau of Reclamation by the SWRCB. The standards include minimum Delta outflows, limits to Delta water export by the State Water Project (SWP) and the Central Valley Project (CVP), and maximum allowable salinity levels. In 1971, the State Water Resources Control Board (SWRCB) established Water Right Decision 1379 (D-1379). This Decision contained new water quality requirements for the San Francisco Bay-Delta Estuary. D-1379 was also the first water right decision to provide terms and conditions for a comprehensive monitoring program to routinely determine water quality conditions and changes in environmental conditions within the estuary. The monitoring program described in D-1379 was developed by the Stanford Research Institute through a contract with the SWRCB. Implementation of the monitoring program began in 1972, as SWRCB, DWR, and USBR met to define their individual responsibilities for various elements of the monitoring program. In 1978, amendments to water quality standards were implemented and resulted in Water Right Decision 1485 (D-1485). More recently these standards were again amended under the 1995 Water Quality Control Plan and Water Right Decision 1641 (D-1641) established in 1999. The SWP and CVP are currently operated to comply with the monitoring and reporting requirements described in D-1641. D-1641 requires DWR and USBR to conduct a comprehensive environmental monitoring program to determine compliance with the water quality standards and also to submit an annual report to SWRCB discussing data collected. The phytoplankton monitoring program is one element of DWR’s and USBR’s Environmental Monitoring Program (EMP) conducted under the Interagency Ec
FISHPASS ASSESSMENT PLAN LONG-TERM MONITORING OF HYDROLOGIC AND WATER QUALITY DATA
The Great Lakes Fishery Commissions’ (GLFC) FishPass project seeks to reconnect the waterscape for only desired species (i.e., selective passage) by integrating a multitude of existing and novel passage techniques and technologies. The probability of a fish passing through a sorting system is dependent on environmental conditions and a fish’s motivation ─ its internal state in relation to environmental stimuli. While fish decision making abilities introduce complexity to the sorting operations, they also provide an opportunity to exploit behavioral tendencies and abilities to achieve selective sorting. The FishPass Assessment Plan details a monitoring program aimed at quantifying fish movement and sorting capabilities associated with both individual mechanisms and integrated sorting systems. The results of the monitoring program will be used to inform future adjustments to the selection of techniques and technologies and their configuration to optimize passage of desirable species while blocking and/or removing undesirable species. A key component to the Assessment Plan is the long-term monitoring of abiotic variables in and around FishPass. This data set contains the hydrologic (e.g., river discharge, water level) and water quality data (e.g., temperature, specific conductivity, conductivity, and turbidity) collected at mostly static stations throughout the Boardman/Ottaway River. The dataset is updated annually. These data are collected until the initiation and/or substantial completion of the FishPass structure. Collection of this type of data are expected to continue after FishPass construction completion but modifications to the extent and location of monitoring stations are anticipated. As a result, a new dataset will be updated in the future containing all long term hydrologic and water quality monitoring post construction. R. Swanson, GLFC Assessment Biologist, is primarily responsible for maintaining the monitoring equipment, data retrieval, quality assuran
SONGS Mitigation Monitoring: Experimental Reef Survey - Giant Kelp Outplant Size-Specific Survivorship
These data describe the size-specific survivorship of laboratory-reared embryonic giant kelp, Macrocystis pyrifera, outplanted at an artificial reef (Wheeler North Reef in Orange County, CA). In summer 2000 divers deployed an average of 56 outplant units containing embryonic kelp to 14 modules of Wheeler North Reef. Size specific survivorship was measured by recording the number and size of outplanted kelp on surviving outplant units three and eleven months after deployment. Measurements of size were categorical and included small single blades (recruits), multi-bladed plants less than 1m tall, and multi-frond plants equal or greater than 1 m tall.
Twice weekly monitoring of a Microtus ochrogaster population and social behavior in alfalfa in eastern Illinois, 1982-1987.
These data were obtained as part of a field study on social behavior of the prairie vole, Microtus ochrogaster in alfalfa. The study was conducted in two adjacent 1-ha alfalfa (Medicago sativa) fields within the University of Illinois Biological Research Area (Phillips Tract). Social groups were monitored over a 63-month period, from March 1982 through July 1984 in field 1 and from October 1983 to May 1987 in field 2, by locating underground and surface nests and subsequent trapping, twice weekly. 4-5 live traps were set around the entrances to underground nests and runways leading to a surface nest of social groups. Each month the study sites were also trapped at a 10-m grid interval as a part of an ongoing 25-year trapping study (Getz, L.L. 2024. Environmental Data Initiative. https://doi.org/10.6073/pasta/2dae8f08578ce31e7817c92a0f6acc87).
UCSB SONGS Mitigation Monitoring: Reef Performance Standard – Fish Production
These data describe annual estimates of the somatic and gonadal tissue production in five species of reef fishes at an artificial reef (Wheeler North Reef in Orange County, CA) and two natural reference reefs (San Mateo Kelp in Orange County, CA and Barn Kelp in San Diego County, CA). Data were collected from 2009 – 2023 as part of a comprehensive mitigation program aimed at evaluating the ability of Wheeler North Reef to compensate for losses of kelp forest habitat and associated biota caused by the operation of the San Onofre Nuclear Generating Station (SONGS).
Lake ice surveys, 1874-2022, Adirondack Long-Term Ecological Monitoring Program Project No. 8 by Adirondack Ecological Center of the State University of New York College of Environmental Science and Forestry, Newcomb, New York. Environmental Data Initiative.
The objective of this dataset is to document ice-in and ice-out dates on several lakes on the State University of New York College of Environmental Science and Forestry's Huntington Wildlife Forest (HWF). Lakes include: Arbutus, Catlin, Deer, Military, Rich, Wolf and Lodo Pond; some records exist for Long Pond and other water bodies but they are not included here except in some comment fields.
DNR Citizen Monitoring Lake Level Data from 2010 to 2015 in Wisconsin
The lake level data from the DNR citizen monitoring project. This ongoing project has been collecting lake level data from 20 lakes in 11 counties in Wisconsin since 2010. It features the citizen voluntary action in the monitoring work. The data are hosted by Surface Water Integrated Monitoring System so its short name in this dataset is SWIMS.
Mohonk Preserve Amphibian and Water Quality Monitoring Dataset at 11 Vernal Pools from 1931-Present
"The Mohonk Preserve's Daniel Smiley Research Center has been monitoring species occupancy, reproductive success, and water quality of 11 vernal pools (Ski Loop, Bonticou, Terrace, Long Woodland Pool, Long Woodland Swamp, Oakwood, Sleepy Hollow, Hermits, North Mud Pond, Canaan, and Talus) on the Preserve each spring from April 1931 to May 2019 (present). This project aims to document changes in the reproductive behavior and phenology of amphibians and allow research access to historical, longitudinal records. The dataset is a paired record of amphibian occurence with environmental indicators spanning nearly 90 years of data collection. The dataset includes environmental conditions for the 730 sampling events associated with the species occurences with complete coverage air temperature and precipitation records and partial coverage for a variety of other weather and water quality measures. Species occurence data collection has included species identification and counts of live and dead adults, mated pairs, spermatophores, egg masses, juveniles, and tadpoles counts as well as a record of the level of frog calling. Weather conditions including precipitation, sky and wind codes; and water quality measurements including water temperature, pH, and depth. Collection of data was sporadic from 1931 - 1991 but has been collected consistently from 1991 to present. We also began monitoring dissolved oxygen, nitrate concentrations, and conductivity of the vernal pools using a YSI Sonde Professional Plus Instrument and turbidity using a turbidity tube in February 2018. The data collection is ongoing, as are digitization efforts, and the data package will receive periodic updates."
UCSB SONGS Mitigation Monitoring: Wetland Survey - Fish Abundance
These data describe annual estimates of the density of fish in main channel and tidal creek habitats collected as part of the SONGS San Dieguito Wetland Restoration mitigation monitoring program designed to evaluate compliance of the restoration project with conditions of the SONGS permit. Monitoring began in 2012 in the San Dieguito Wetlands and Tijuana Estuary in San Diego County, CA, Carpinteria Salt Marsh in Santa Barbara County, CA, and Mugu Lagoon in Ventura County, CA. Beginning in 2024, Los Penasquitos Lagoon in San Diego County replaced Tijuana Estuary. The abundance of fish is determined using beach seine and enclosure trap sampling at six main channel and six tidal creek locations at each wetland. Both seine and enclosure trap sampling consist of several hauls through an enclosed volume of water. Sampling is conducted annually in early fall.
UCSB SONGS Mitigation Monitoring: Wetland Survey - Bird Abundance
These data describe annual estimates of bird density collected as part of the SONGS San Dieguito Wetland Restoration mitigation monitoring program designed to evaluate compliance of the restoration project with conditions of the SONGS permit. Monitoring began in 2012 in the San Dieguito Wetlands and Tijuana Estuary in San Diego County, CA, Carpinteria Salt Marsh in Santa Barbara County, CA, and Mugu Lagoon in Ventura County, CA. Los Penasquitos Lagood in San Diego County replaced Tijuana Estuary in 2024. The abundance of birds is determined from twenty plots spread across each wetland.
UCSB SONGS Mitigation Monitoring: Wetland Survey - Bird Feeding Activity
These data describe annual estimates of shorebird bird feeding activity, measured as the percentage of birds observed feeding, collected as part of the SONGS San Dieguito Wetland Restoration mitigation monitoring program designed to evaluate compliance of the restoration project with conditions of the SONGS permit. Monitoring began in 2012 in the San Dieguito Wetlands and Tijuana Estuary in San Diego County, CA, Carpinteria Salt Marsh in Santa Barbara County, CA, and Point Mugu Lagoon in Ventura County. Bird feeding activity was estimated for twenty plots in each wetland having at least one targeted shorebird species present on the ground. Beginning in 2024, Tijuana Estuary was replaced with Los Penasquitos Lagoon in San Diego County, CA.
UCSB SONGS Mitigation Monitoring: Wetland Survey - Invertebrate Abundance
These data describe the abundance of invertebrate species sampled in quadrats and sediment cores as part of the SONGS San Dieguito Wetland Restoration monitoring program to track long-term patterns in species abundance and diversity and assess compliance of the restoration project with conditions in the SONGS Coastal Development permit. This study began in 2012 in the San Dieguito Lagoon and Tijuana Estuary in San Diego County, CA, Carpinteria Salt Marsh in Santa Barbara County, CA, and Mugu Lagoon in Ventura County, CA. The abundance of invertebrates in quadrats and sediment cores was recorded at six main channel and six tidal creek locations at each wetland. Beginning in 2024, Tijuana Estuary was replaced with Los Penasquitos Lagoon in San Diego County, CA.
UCSB SONGS Mitigation Monitoring: Wetland Survey - Spartina Size Structure
These data describe annual estimates of Spartina foliosa size structure collected as part of the SONGS San Dieguito Wetland Restoration mitigation monitoring program designed to evaluate compliance of the restoration project with conditions of the SONGS permit. Monitoring began in 2012 in the San Dieguito Wetlands and Tijuana Estuary in San Diego County, CA. The height of Spartina stems were recorded along four transects at each wetland. Beginning in 2024, Tijuana Estuary was replaced with Mugu Lagoon in Ventura County, CA.
UCSB SONGS Mitigation Monitoring: Wetland Survey - Water Quality
These data describe measurements of water characteristics (temperature, salinity, and dissolved oxygen) collected as part of the SONGS San Dieguito Wetland Restoration mitigation monitoring program designed to evaluate compliance of the restoration project with conditions of the SONGS permit. Monitoring began in 2012 in the San Dieguito Wetlands and Tijuana Estuary in San Diego County, CA, Carpinteria Salt Marsh in Santa Barbara County, CA, and Mugu Lagoon in Ventura County, CA. Beginning in 2024, Tijuana Estuary was replaced with Los Penasquitos Lagoon in San Diego County, CA. Measurements of water depth, temperature, salinity, and dissolved oxygen were recorded daily in fifteen minute intervals at two sampling stations (primary and backup) at the San Dieguito Wetland, Carpinteria Salt Marsh, and Mugu Lagoon, and one sampling station (primary) at the Tijuana Estuary (2012-2023) and Los Penasquitos Lagoon (2024-present).
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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.