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8,460 results for “MONITORING”
Vegetation monitoring
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Crystal Cove Marine Conservation Area Citizen Science Monitoring
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Crystal Cove Marine Conservation Area Citizen Science Monitoring
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Monitoring data from a managed aquifer recharge system that collects stormwater runoff in central coastal California. Precipitation, runoff, infiltration, sediment, survey
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Acadia National Park, U.S. National Park Service using Lakes and Stream Monitoring Protocol for National Parks in the Northeast Temperate Network, Version 1.1 (2006-2011)
Water quality data collected by Acadia National Park (U.S. National Park Service) staff using the procedures found in the Lakes and Stream Monitoring Protocol for National Parks in the Northeast Temperate Network, Version 1.1. Sampling occurs annually and is scheduled to continue indefinitely. Additional data from non-NPS collaborators are also included (in the pre-2006 sheets). Parameters measured in the field include Secchi transparency and surface temperature. Secchi depth was always measured using a viewing scope with "mask". Color, chlorophyll a, total nitrogen, total phosphorus, DOC, anion & cation samples were collected as grab samples or depth-integrated epilimnetic samples in lakes, and then sent to a central laboratory for analyses. These samples were collected in April, June, August and October. The National Water Quality Lab was used for analysis in 2006 & 2007; the Sawyer Environmental Chemistry Research Lab was used 2008-2011. Values below reporting/detection level indicated in associated "Flag" field. Empty cells with no associated flag indicate no data collected for parameter.
MiCORPS Cooperative Lakes Monitoring Program Lake Surveys, water chemistry, 1974-2012
The Cooperative Lakes Monitoring Program (CLMP) has been an important component of Michigan's inland lakes monitoring program for over 39 years, which makes it the second oldest volunteer monitoring program for lakes in the country. The primary purpose of this cooperative program is to help citizen volunteers monitor indicators of water quality in their lake and document changes in lake quality over time. The goals of the CLMP are: Provide baseline information and document trends in water quality for individual lakes, Educate lake residents, users and interested citizens in the collection of water quality data, lake ecology and lake management practices, provide a cost-effective process for the DEQ to increase baseline data for lakes state-wide. Since 1992, the Michigan Lake and Stream Associations (MLSA) has administered the CLMP jointly with the Michigan Department of Environmental Quality (DEQ) under a Memorandum of Understanding. The ML&SA will continue to administer this program under the Michigan Clean Water Corps
Little Traverse Bay Band of Odawa Indians (LTBB) water quality monitoring program, MI USA, 2000-2011
The Little Traverse Bay Bands of Odawa Indians (LTBB) is conducting a baseline assessment in selected water bodies within and adjacent to the 1855 historically delineated reservation boundaries. This baseline study began in Y2000, and LTBB began to acquire consistent data in 2001, and will continue until a sufficient amount of data is collected to assess current water quality conditions. Ten lakes have been chosen to be part of this program for sampling. Physical and chemical parameters measured in all selected water bodies are: dissolved oxygen, conductivity, temperature, turbidity, water depth, pH, nitrate/nitrite, total phosphorus, total kjeldahl nitrogen, and chloride. Parameters measured in the lakes only consist of chlorophyll a and water clarity.
Tip of the Mitt Watershed Council Comprehensive Water Quality Monitoring Program lake chemistry, MI, intermittent years between 1987-2010
The Comprehensive Water Quality Monitoring Program was launched by Tip of the Mitt Watershed Council in 1987, with subsequent field data collection in 1992, 1995, 1998, 2001, 2004, 2007, and 2010. Initially, physical and chemical data were collected on 10 lakes but the program has progressively expanded and, as of the 2010 field season, 143 samples were collected from 60 sites on 55 lakes and streams. Typically, data for nine parameters (temperature, dissolved oxygen, pH, conductivity, clarity, total phosphorous, total nitrogen, nitrate-nitrogen, and chloride) are collected at the surface, middle and bottom of the water column in each water body. This highly-accurate water quality data for lakes and rivers in Northern Michigan, collected consistently for the last 20+ years, have been compiled into a single database that can be used by staff to evaluate aquatic ecosystem health, examine trends within or among water bodies, and identify specific problems.
Tip of the Mitt Watershed Council Comprehensive Water Quality Monitoring Program lake chemistry, MI, intermittent years between 1987-2010
The Comprehensive Water Quality Monitoring Program was launched by Tip of the Mitt Watershed Council in 1987, with subsequent field data collection in 1992, 1995, 1998, 2001, 2004, 2007, and 2010. Initially, physical and chemical data were collected on 10 lakes but the program has progressively expanded and, as of the 2010 field season, 143 samples were collected from 60 sites on 55 lakes and streams. Typically, data for nine parameters (temperature, dissolved oxygen, pH, conductivity, clarity, total phosphorous, total nitrogen, nitrate-nitrogen, and chloride) are collected at the surface, middle and bottom of the water column in each water body. This highly-accurate water quality data for lakes and rivers in Northern Michigan, collected consistently for the last 20+ years, have been compiled into a single database that can be used by staff to evaluate aquatic ecosystem health, examine trends within or among water bodies, and identify specific problems.
Minnesota Pollution Control Agency Lake Monitoring Program (MPCA) Citizen Lake Monitoring Program Secchi
“The CLMP is a cooperative program combining the technical resources of the Minnesota Pollution Control Agency (MPCA) and the volunteer efforts of citizens statewide who collect water-quality data on their lakes. The CLMP involves voluntary participation of citizens residing on or near lakes or those who are frequent lake users. CLMP participants are asked to take weekly transparency measurements on their lake during the summer using a Secchi disk. A minimum of eight to ten readings per season are required in order to adequately define each summer’s water quality. Data collected by CLMP volunteers are entered into the U.S. Environmental Protection Agency’s water quality database (called STORET) along with all other water quality data collected by the MPCA. These data are used to analyze water quality trends, characterize trophic status, and provide a basis for water quality goal setting."
New Jersey Department of Environmental Protection Ambient Lake Monitoring Program, 2005-2009
This project was developed as a monitoring program that would address both the deficiencies cited in the 1999 USEPA's Office of Inspector General's Audit Report and the needs of the watershed management and water quality assessment (305(b)/303(d)) programs. This approach comports with the guidance provided in USEPA's publication, "Elements of a State Water Monitoring and Assessment Program," March 2003, which requires that states develop and implement long-term strategies that include monitoring of all state water body types including lakes. Data is collected to evaluate trophic status of selected lakes and assess the ecological health of the State's lentic water resources. This data is not expected to be compared with any existing data and is not expected to be used for any permitting, enforcement or TMDL development activities. Target population for monitoring was all lakes, man-made or natural, excepting water supply reservoirs, wholly or partially within the State of NJ political boundaries. A lake is defined as a permanent body of water of at least two hectares in surface, and a minimum depth of one meter. Lakes were selected randomly, using the USEPA - Generalized Random Tessellation Stratified (GRTS) survey design, but in a manner that equalizes selections over all Omernik level III ecoregions (6 within state). The New Jersey GIS coverage containing approximately 870 named lakes, meeting the design criteria, was used for the selection process. A total of 200 lakes were sampled, each sampled once every five years, with 40 lakes sampled per year.
Adirondack Lakes Long Term Monitoring (NY), 1992-2011
This data release represents raw values through final quality assurance. Eight of the original 17 ALTM lake sampling sites established by Syracuse University in 1982 were located some distance downstream from the main lakes usually in proximity to a road. These sites included: Black Pond, Bubb Lake, Cascade Lake, Constable Lake, Otter Lake, Squash Pond, West Pond and Windfall Pond. In 1993, the expanded ALTM project began to collect additional samples upstream of the original roadside sites at the main lake outlets. The ALTM lakes are sampled monthly. Lakes with no outlets and those accessed by helicopter are sampled at the deepest part of hte lake at a depth of 0.5 m with a Kemmerer sampler. All other sites are sampled at the outlet by surface grab method. Samples are analyzed at the ALSC laboratory in Ray Brook, NY. There are 4 lakes with recent liming histories: 030172 Little Clear; 040576 Woods; 040905 Barnes and 060182 Little Simon.
University of Rhode Island Watershed Watch (URIWW), RI: water quality monitoring, 1988-2010
The URI Watershed Watch (URIWW) is a volunteer water quality monitoring program that works with local communities to assess water quality. Led by trained scientists, URI Watershed Watch helps local governments, watershed, tribal and other organizations recruit and train volunteers to become citizen scientists gathering detailed, quality assured monitoring data. This watershed-based program focuses on long-term environmental monitoring of RI's fresh and salt water resources including lakes, ponds, streams and coastal waters. URIWW staff provides training, equipment, supplies and analytical services tailored to organizational needs, while meeting strict quality assurance and quality control guidelines in the field and in our state-certified water testing laboratory. Sites included for LAGOS purposes are classified as Lakes by URIWW program. Tidally-influenced or salt pond sites were excluded. A single site was selected for the handful of lakes/reservoirs with 2 sampling site records, and a limited number of other lakes were excluded if they were sampled in only 1 year and for a subset of variables. Otherwise, all sites classified as lakes by URIWW are included in the LAGOS-relevant files.
Minnesota Pollution Control Agency Lake Monitoring Program, 1926-1998
The MPCA monitors approximately 100 lakes each year. Each lake is sampled monthly from May to September for a period of two years. The primary focus is on collection of total phosphorus (nutrient), chlorophyll-a (pigment in algae), and Secchi depth (distance light will travel in water). With this information, it is possible to determine the condition of the lake, commonly referred to as the “trophic status. After a lake has been monitored for a minimum of two years, the water chemistry data are used to assess its condition. The water quality data and the results of the condition assessment are incorporated in a variety of products, including lake assessment reports, status and trend/update reports and fact sheets. "This is an inclusive project created to migrate data to modernized STORET from the 21MINNL Agency Code in Legacy STORET where project information was not stored on the sample or result level. Specific purposes for Legacy STORET data collection may be available in the station descriptions."
The Big Platte Lake and Platte River watershed monitoring program, 1993-2012
The Clean Water Act of 1972 mandates that analyses be performed to determine allowable phosphorus loads from point and nonpoint sources that are consistent with the water quality standards. This allowable loading is called a total maximum daily load (TMDL). The purpose of this program is to monitor the lake and rivers to develop a credible TMDL for Big Platte Lake. The only significant point source of phosphorus in the watershed is the Platte River State Fish Hatchery operated by the Michigan Department of Natural Resources (MI DNR). The outflow from the Hatchery discharges into the Platte River 17 km upstream of Big Platte Lake. The maximum Hatchery phosphorus loading was estimated to be 1,960 kg/year in 1974. Today, the mean net loading from the Hatchery is only about 79 kg/year. This reduction was attained by upgrading the solids handling technology at the facility and by using low phosphorus fish feed. The Hatchery contributes approximately 3% of the total phosphorus load that enters the Lake and is currently compliant with National Pollutant Discharge Elimination System (NPDES) requirements.
NH Department of Environmental Services (NHDES) Watershed Management Bureau Biology Section: Lake Trophic Survey Environmental Monitoring data, 1995-2014
This program was initially established in 1975 in order to identify the trophic state of NH lakes and ponds, as required by Section 314(a) of PL 92-500 (the Federal Water Pollution Control Act Amendments of 1972). The purpose of the program is to determine lake trophic class and monitor physical, chemical and biological water quality parameters. Each year, 40 different lakes and ponds are surveyed, once in the summer and once in the winter. The surveys are comprehensive physical, chemical and biological surveys, including electronic depth soundings, macrophyte identifications and abundance ratings, shoreline bacteria sampling and at the deep spot a temperature/dissolved oxygen/percent saturation profile, Secchi disk transparency reading, samples for chlorophyll, Ca, Mg Na, and K in the upper water layer, phytoplankton and zooplankton net hauls for identification and counts and discrete water samples at two or three depths for pH, acid neutralization capacity, apparent color, conductivity, TP, Total Kjeldahl nitrogen, nitrite+nitrate nitrogen, chloride, and sulfate. The surveys are designed to assess current baseline conditions and compliance with water quality criteria, identify the lake’s trophic status, determine acid rain impacts and the existence of exotic aquatic plants and provide information for gross long-term trend analyses.
Weather Data, 1940-2016, Adirondack Long-Term Ecological Monitoring Program by Adirondack Ecological Center of the State University of New York College of Environmental Science and Forestry, Newcomb, New York, USA
These datasets include information collected from 1940 to 2016 in or around Huntington Wildlife Forest at the Adirondack Ecological Center in Newcomb, New York. Data were collected daily and include minimum and maximum daily temperature, precipitation, snowfall, and sometimes additional measurements (e.g., wind direction, weather events). These data were collected as part of the Adirondack Long Term Ecological Monitoring Program (ALTEMP).
Illinois EPA Ambient Lake Monitoring Program (ALMP): lake water chemistry from the Springfield laboratory, 2004-2006
The Illinois EPA’s Ambient Lake Monitoring Program (ALMP) was created in 1977 in cooperation with the IL Department of Conservation to assess trends in a select few IL public lakes. The Illinois EPA biologists work out of three Illinois EPA regional offices: Springfield, Marion, and Des Plaines and monitor lakes in their respective areas. Approximately fifty lakes are monitored annually and of those, twenty-five are termed “Core Lakes”. A total of 75 publicly-owned lakes were chosen throughout the state of Illinois as Core Lakes. Previously these lakes were monitored every three years in order to establish a long-term monitoring trends database. In 2008 these lakes and select others were monitored on a five year rotational basis. All lakes are monitored five times yearly; once during the spring runoff and turnover period (April or May), three times during the summer (June, July, August), and once during the fall turnover period (October). Depending on the size of the lake, usually three lake sites are monitored. Monitoring includes collection of water quality and sediment samples as well as, field observation data/measurements such as Secchi disk transparency readings, dissolved oxygen, temperature, quantity of algae, macrophytes, and other key aspects of the lake and sampling event. Water quality samples are collected from one foot below the surface at all sites and two feet above the bottom at only the deepest site. These samples are routinely analyzed for suspended solids, nutrients, and chlorophyll. Additional parameters may be added for a designated period of time at select lakes based on changing data needs.
Maine Department of Environment Protection lake monitoring and assessment, 1970s-2011, compiled all ME DEP programs for metadata unpublished data
Much of the lake monitoring in the state is done to assess "trophic state" or the productivity of the water. Our 30 year record includes data on over 1000 of our 5785 lakes, including parameters such as transparency, conductivity, alkalinity, total phosphorus and chlorophyll-a. These, along with extensive data sets from the University of Maine and clarity readings from volunteers, have produced one of the most comprehensive lake data sets in the country. DEP regular monitoring includes annual Baseline Sampling Program and special projects of one or more years’ duration. Each year between August 10 and September 10, we visit over 100 lakes and take a number of types of data. The timing coincides with the period when lakes usually show their worst water quality: lowest dissolved oxygen, lowest transparency and highest algae and phosphorus levels. Besides these measures, we sample for conductivity, alkalinity and acid neutralizing capacity (ANC), true and apparent color, and a variety of cations and anions. Lakes sampled generally include TMDL lakes, 33-50 lakes in the VLMP, lakes of special concern (e.g., anecdotal report of algal bloom), long-term monitoring lakes in ecoreserves and special project lakes.
Wisconsin Surface Water Integrated Monitoring System (SWIMS) Department of Natural Resources lake nutrient data, 1970-2011
The Wisconsin Surface Water Integrated Monitoring System (SWIMS) program is the state´s repository for water and sediment monitoring data collected for Clean Water Act work and is the source of data sharing through the federal Water Quality Exchange Network. DNR Fisheries and Water Quality Biologists use the system to locate monitoring stations, providing a gateway to final, reviewed fisheries management datasets housed at the U.S. Geological Survey. SWIMS is also the data system that citizen volunteers use to document water monitoring results for our state´s lakes, streams and wetlands. Parameters typically collected on lakes are total phosphorus, chlorophyll a and Secchi. Through the DNR Long-Term Trend monitoring program, additional parameters such as Nitrogen have been collected. Lake data in SWIMS generally goes back to the 1970s (1970s data was imported in from the EPA STORET database, where DNR laboratory results went historically). The database is updated daily.
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.