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8,460 results for “MONITORING”

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edi40/100

SONGS Mitigation Monitoring: Experimental Reef Survey – Giant Kelp Size and Abundance

These data describe annual estimates of the size, fecundity, and abundance of giant kelp, Macrocystis pyrifera, 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 2000 to 2004 as part of the experimental phase of the San Onofre Nuclear Generating Station (SONGS) kelp reef mitigation program. In the spring and fall of each year, divers collected data on the number of fronds > 1 m tall, the amount of reproductive tissue, and the size of the holdfast for each giant kelp plant encountered along permanent transects at each reef and recorded the type of substrate to which each plant was attached.

openCC (other)Feb 2024View details →
edi40/100

SONGS Mitigation Monitoring: Experimental Reef Survey – Fish Size and Abundance

These data describe annual estimates of the size and abundance of reef fish 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 2000 to 2004 as part of the experimental phase of the San Onofre Nuclear Generating Station (SONGS) kelp reef mitigation program. In the summer of each year, divers identified, sized, and counted species of fish along fixed transects and in quadrats uniformly distributed at each reef.

openCC (other)Feb 2024View details →
edi40/100

SONGS Mitigation Monitoring: Experimental Reef Survey - Benthic Algae and Invertebrate Abundance

These data describe annual estimates of the density of benthic macroalgae and macroinvertebrates 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 2000 to 2004 as part of the experimental phase of the San Onofre Nuclear Generating Station (SONGS) kelp reef mitigation program. In the summer of each year, divers identified and counted species of benthic macroalgae and macroinvertebrates in quadrats of varying size that were uniformly distributed along fixed transects at each reef.

openCC (other)Feb 2024View details →
edi40/100

SONGS Mitigation Monitoring: Experimental Reef Survey - Benthic Algae, Invertebrate, and Substrate Cover

These data describe annual estimates of the percent cover of benthic macroalgae, sessile macroinvertebrates, and substrate types 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 2000 to 2004 as part of the experimental phase of the San Onofre Nuclear Generating Station (SONGS) kelp reef mitigation program. In the summer of each year, divers identified and recorded species of algae and sessile macroinvertebrates, and substrate types under twenty uniformly placed points within 1 m2 quadrats that were uniformly distributed along fixed transects at each reef.

openCC (other)Feb 2024View details →
edi40/100

Baseline Water Quality Monitoring to support restoration efforts in the Cache Slough Complex, 2013-2021.

The Cache Slough Complex is an ecologically significant area, with many restoration efforts of various kinds set to take place within its boundaries. These efforts which are tied to regulations set forth by the Biological Opinion, will have unknown impacts to in‐stream water quality. For this reason, the Department of Water Resources’ Water Quality Assessment (WQA) unit developed a monitoring program to establish baseline water quality measurements to help understand the environmental impact of these restoration projects and ensure pre‐restoration water quality data is available to compare against post-restoration water quality. To do so, data was collected at various sites that represent all major inputs and outflows within the Cache Slough Complex from September 2013 to December 2021.

openCC (other)Aug 2024View details →
edi40/100

UCSB SONGS Mitigation Monitoring: Reef Survey - Fish Fecundity, Feeding, and Somatic Growth

These data describe annual estimates of the fecundity, gut fullness, and somatic growth of five fish species at three subtidal reefs collected as part of the San Onofre Nuclear Generating Station (SONGS) Mitigation Monitoring Program. Data collection began in 2009 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). Fish were collected annually at each reef between May and October.

openCC (other)Jun 2025View details →
edi40/100

UCSB SONGS Mitigation Monitoring: Reef Process Study - Density of Giant Kelp Recruits and Cover of Dead Holdfasts

These data describe annual estimates of the density of giant kelp recruits and the percent cover of dead giant kelp holdfasts from replicate quadrats at three subtidal reefs. Data collection occurred from 2000 -2023 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) to evaluate 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).

openCC (other)Aug 2025View details →
edi40/100

Small mammals surveys, 1981 - 1996, Adirondack Long-Term Ecological Monitoring Program Project No. 10 by Adirondack Ecological Center of the State University of New York College of Environmental Science and Forestry, Newcomb, New York. Environmental Data Initiative

Small mammals are important in forested ecosystems: they are key predators on seeds and invertebrates, provide food for larger predators and act as disease vectors. The objective of this study was to document small mammal abundance and population changes in managed and unmanaged forests of Huntington Wildlife Forest (HWF). Seven sites were sampled from 1981-1996. Fifty traps per site (250 total) were deployed for 4 nights and checked in the mornings. All captured small mammals were identified, sexed, weighed, and measured for reproductive condition, tagged, and brought into the lab for processing. Females with embryos or placental scars were noted in the lab. Over a five-year period, 671 deer mice; 261 woodland jumping mice, 594 southern redbacked voles, 248 short-tailed shrews, 373 masked shrews, 75 smoky shrews and small numbers of other species were captured and sexed/aged. According to Prachar and Sage (1988), weights of deer mice, redbacked voles, woodland jumping mice, short-tailed shrews, masked shrews and smoky shrews differed among years and age classes for 1983-1987. Weights differed between sexes for mice and voles but not shrews. Placental scar/embryo counts of mice and voles did not differ among years, habitats, mammal age classes or sexes. Reproductive rates of shrews exhibited patterns of fluctuation from 1983-1987.

openCC (other)Aug 2018View details →
edi40/100

Songbird surveys , 1952 - 1964, 1983 - 2008 Adirondack Long-Term Ecological Monitoring Program Project No. 2 Breeding Birds by Adirondack Ecological Center of the State University of New York College of Environmental Science and Forestry, Newcomb, New York. Environmental Data Initiative.

Study objectives were to (1) Document long-term trends in relative abundance and diversity of breeding forest birds (songbirds) in forest stands with different harvest histories and (2) Identify bird species that can be used as indicators of habitat change or degradation. Declines in neotropical migrants have been linked to changes in habitat quantity and quality across species' range. Songbirds that nest and forage in different habitat types or at different heights in the forest canopy may not be affected equally by forest change or management. We detected breeding songbirds using point-counts at Huntington Wildlife Forest (HWF) in the central Adirondack Mountains of New York during 1983-2000 and modeled on an original songbird point count dataset from Webb et al. (1977). Relative abundance (RA, the number of individual birds/count) was measured in sites with differing management histories, from an unmanaged >300-year-old stand to a stand cut with the shelterwood/overstory removal method just prior to sampling in 1983). Over eighty bird species were detected during the study duration. Songbird ecology and habitat characteristics can be used to understand long-term changes in relative abundance as related to forest change.

openCC (other)Aug 2018View details →
edi40/100

Methane and carbon dioxide emissions were monitored in control, greenhouse, and nitrogen and phosphorus fertilized plots of three different plant communities, Toolik Field Station, North Slope Alaska, Arctic LTER 1991.

Methane and carbon dioxide emissions were monitored in control, greenhouse, and nitrogen and phosphorus fertilized plots of three different plant communities.

openOpenDec 2015View details →
edi40/100

Methane and carbon dioxide emissions were monitored in control, greenhouse, and nitrogen and phosphorus fertilized plots of three different plant communities Arctic LTER experimental plots, Toolik Field Station, 1992.

Methane and carbon dioxide emissions were monitored in control, greenhouse, and nitrogen and phosphorus fertilized plots of three different plant communities. This is the second year of collection data.

openOpenDec 2015View details →
edi40/100

Methane and carbon dioxide emissions were monitored in control, greenhouse, and nitrogen and phosphorus fertilized plots of three different plant communities, Toolik Field Station, North Slope Alaska, Arctic LTER 1993.

Methane and carbon dioxide emissions were monitored in control, greenhouse, and nitrogen and phosphorus fertilized plots of three different plant communities. This is the third year of collection data.

openOpenDec 2015View details →
edi40/100

Bonanza Creek LTER Photo Monitoring

This data file represents a photo monitoring project in large reference stands at Bonanza Creek Long Term Ecological Research Site (BNZ LTER) 26 km southwest of the University of Alaska Fairbanks campus, Fairbanks, Alaska. The photo monitoring took place in six mapped and measured reference stands representing white spruce, Alaska birch, and aspen-dominated stands, with one stand in the mature or old growth condition and a comparable site that was the same forest type until a high-severity, stand-replacing crown fire in 1983, for a total of 6 initial stands. The 1983 Rosie Creek Fire was a human-caused wildfire that burned 8,600 acres including about 1/3 of the Bonanza Creek Experimental Forest. The old growth white spruce reference stand was expanded by 1.0 ha to two contiguous hectares, and the burned aspen stand by 0.25 ha to one full hectare (initial) plus an adjacent quarter-hectare. Since 1993 the second old-growth white spruce hectare and second burned aspen quarter-hectare received the full photo-monitoring protocol as the original 6 reference hectares, making a total of 8 photo stand locations.

openOpenApr 2010View details →
edi40/100

Vegetation surveys at CAP LTER ripirain-area bird-monitoring locations in the greater Phoenix metropolitan area (2013)

Over the past half-century, the greater Phoenix metropolitan area (GPMA) has been one of the fastest growing regions in the US, experiencing rapid urban expansion in addition to urban intensification. This backdrop provides an ideal setting to monitor biodiversity changes in response to urbanization, and the CAP LTER has been using a standardized point-count protocol to monitor the bird population throughout the GPMA and surrounding Sonoran desert region since 2000. A subset of these bird-monitoring sites are located in riparian areas, and additional riparian-area monitoring locations centered on the Salt River as it runs through the GPMA were added in 2013 and 2014. In May and June of 2013, the CAP LTER surveyed the vegetation in 6,400 square meter plots around all of these riparian-area sites as part of an analysis of change in bird abundance and community composition. This dataset catalogs the results of vegetation surveys at nineteen bird-monitoring sites in riparian areas of the GPMA.

openOpenOct 2016View details →
edi40/100

Ecohydrological monitoring of urban ecological infrastructure at the Arizona State University Tempe Campus (Tempe, Arizona)

Urban Ecological Infrastructure (UEI) are urban ecological structures whose ecological functions are increasingly being used to deliver key urban services and address urban sustainability challenges. The growing use of UEI to address urban sustainability challenges can bring together teams of urban researchers and practitioners to co-produce UEI design, monitoring and maintenance. However, this co-production process received little attention in the literature, and has not been studied in the Phoenix Metro Area. This study examined several components of a co-produced design process and related project outcomes associated with a small-scale UEI project – bioretention basins installed at the Arizona State University (ASU) Orange Mall and Student Pavilion in Tempe, AZ. We explored the design process associated with the collaborative development of an ecohydrological monitoring protocol for assessment of post-construction performance of this UEI system. This co-production process involved both CAP LTER researchers and practitioners, designers, and managers at ASU and associated third-party consultants involved in site design and management. Together, these researchers and practitioners co-produced a suite of ecohydrological metrics to monitor the performance of the bioretention basins at Orange Mall. Specifically, this protocol evaluated the performance of the UEI system with regards to two of it’s key design goals: storm water capture and storm water quality improvement. The ecohydrological data produced by the implementation of this monitoring protocol are presented here. Monitoring equipment were installed throughout the site in June and July 2018. Site monitoring and data collection began in August 2018, and continued through Feb 2019.

openCustomMay 2019View details →
edi40/100

Fall 2013 grasshopper monitoring -- mid-marsh grasshopper abundance and species diversity at eight GCE LTER sampling sites

Grasshopper abundance and species diversity were investigated at eight sampling sites within the Georgia Coastal Ecosystems (GCE) LTER study area in August 2013. Visual surveys were conducted along 8 2m by 10m transects randomly allocated within the mid-marsh zone at each site. All grasshoppers observed within each transect were counted and identified to species, if possible. This survey was conducted as part of the GCE invertebrate monitoring program, and will be performed annually to assess long-term changes in relative species abundances across the GCE study area.

openCustomJan 2020View details →
edi40/100

Precision Agriculture Yield Monitoring in Row Crop Agriculture at the Kellogg Biological Station, Hickory Corners, MI (1996 to 2013)

Dataset Abstract The LTER annual crops (corn, soy and wheat), treatments 1-4, are harvested annually using a combine equipped with a GPS and precision agriculture software to allow detailed yield measurements with coincident GPS latitude and longitude data.. original data source http://lter.kbs.msu.edu/datasets/40

openCustomFeb 2016View details →
edi40/100

Plant Phenology Monitoring Transects at the Sevilleta National Wildlife Refuge, New Mexico (1991-1995)

This study was designed to monitor the occurrence of various phenological events of plant species at seven research sites on the Sevilleta National Wildlife Refuge (i.e., Black Butte, Goat Draw, Five Points, Deep Well, Rio Salado, Sepultura Canyon and Los Pinos foothills watershed (Red Tank/222)). The phenological events monitored included germination, vegetative growth, budding (flowers), flowering, fruiting, dormancy, senescence, and death. All transects were placed close to Sevilleta LTER meteorological stations, allowing the coupling of biotic and abiotic data to detect relationships between climate and phenology. Â

openOpenSep 2010View details →
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SGS-LTER Long-term Monitoring Project: Carnivore Scat Count on the Central Plains Experimental Range, Nunn, Colorado, USA 1997 -2006, , ARS Study Number 98

This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets and background information (proposals, reports, photographs, etc.) on the SGS-LTER project are contained in a comprehensive project collection within the Digital Collections of Colorado (http://digitool.library.colostate.edu/R/?func=collections&collection_id=3429). The data table and associated metadata document, which is generated in Ecological Metadata Language, may be available through other repositories serving the ecological research community and represent components of the larger SGS-LTER project collection. Additional information and referenced materials can be found: http://hdl.handle.net/10217/83392 Carnivores are among the most conspicuous, charismatic and economically important mammals in shortgrass steppe, yet relatively is little is known about their populations or of the ecological factors that determine their distribution and abundance, in part because densities tend to be low. Mammalian carnivores represent the top predators in grassland food webs, consuming rodents, rabbits, young ungulates and other small vertebrates. In addition, shortgrass steppe is the primary habitat of the swift fox (Vulpes velox), a species of special conservation concern throughout most of its range. Fox populations are thought to be limited by predation from coyotes (Canis latrans), the most common carnivore in these grasslands and a species of interest, both for its ecological roles and well as a target species for human exploitation, ie hunting and predator control. In 1994, we implemented a low-intensity sampling scheme to monitor long-term changes in relative abundance of mammalian carnivores and help us examine interactions between these predators and their small mammal prey, including rodents and rabbits. We estimated relative abundance of carnivores using scat surveys along a fi

openOpenJan 2020View details →
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SGS-LTER Long-term Monitoring Project: Spotlight Rabbit Count on the Central Plains Experimental Range, Nunn, Colorado, USA 1994-2006, ARS Study Number 98

This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets and background information (proposals, reports, photographs, etc.) on the SGS-LTER project are contained in a comprehensive project collection within the Digital Collections of Colorado (http://digitool.library.colostate.edu/R/?func=collections&collection_id=3429). The data table and associated metadata document, which is generated in Ecological Metadata Language, may be available through other repositories serving the ecological research community and represent components of the larger SGS-LTER project collection. Additional information and referenced materials can be found: http://hdl.handle.net/10217/83448. Rabbits are the most important small-mammal herbivores in shortgrass steppe, and may significant influence the physiognomy and population dynamics of herbaceous plants and woody shrubs. Rabbits also are the most important prey of mammalian carnivores such as coyotes and large raptors such as golden eagles and great horned owls. Two hares (Lepus californicus, L. townsendii) and one cottontail rabbit (Sylvilagus audubonii) occur in shortgrass steppe. In 1994, we initiated long-term studies to track changes in relative abundance of rabbits on the Central Plains Experimental Range (CPER). On four nights each year (one night each season, usually on new moon nights in January, April, July, October), we drove a 32-km route consisting of pasture two-track and gravel roads on the CPER. This was the same route as that driven for carnivore scat counts. Surveys began at twilight. Observers with two spotlights sat in the back of a 4WD pick-up driven at <15 mph. We recorded the perpendicular distance (in m) to each rabbit using a meter tape or range finder; the direction of the rabbit relative to the road; and noted if individuals were solitary or in clusters. We also recorded any carni

openOpenJan 2020View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

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