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Estimating spatio-temporal reproductive dynamics of fish populations with passive acoustic monitoring: A state-space model approach
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Source Data for Crowdsourcing Bridge Dynamic Monitoring with Smartphone Vehicle Trips
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Modeling and Monitoring Submerged Prehistoric Sites during Offshore Sand Dredging and Implications for the Study of Early Holocene Coastal Occupation of Southern California
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Examples of killer whale (Orcinus orca) calls from passive acoustic monitoring in the Gulf of Alaska
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Group antenatal and postnatal care in Rwanda: model fidelity monitoring data
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Sea otters in a California estuary: Detecting temporal and spatial dynamics with volunteer monitoring
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Vocal behavior in spotted seals (Phoca largha) and implications for passive acoustic monitoring
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UCSB SONGS Mitigation Monitoring: Wetland Process Study - Elevations of Spartina in Tidal Creek and Mudflat Habitats in Restored and Natural Wetlands in Southern California
These data describe the elevations of vegetated and unvegetated areas within tidal creek and mudflat habitats at the restored San Dieguito Wetlands (Del Mar, CA), the restored San Elijo Lagoon (Solana Beach, CA), and the natural Tijuana River Estuary (San Diego, CA). Data were collected in November 2022. Transects were established in these habitats at each wetland; the elevation and vegetation type were documented for at least seven points along at least five transects per habitat type.
Ruffed grouse (Bonasa umbellus) drumming surveys, 1987-2017, Adirondack Long-Term Ecological Monitoring Program Project No. 9 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 is to document long-term population trends of ruffed grouse in a northern hardwood ecosystem. The survey area is the Huntington Wildlife Forest, a 6,000 ha field station which receives no hunting pressure. Routes are surveyed starting an hour prior to sunrise on 2-5 mornings each year between April 14 and May 9 (occasionally later), on days when wind and rain are minimal to absent. Counts are standardized relative to weather conditions and timing. Observers count the number of individual ruffed grouse heard drumming (""drummers"") at 32-50 route stations during a 4-minute period. Trends at stations over time as well as overall drummer index are calculated and compared to independent datasets.
Long-term Rocky Intertidal Monitoring on Appledore Island, Maine, 1982-2017
Shoals Marine Laboratory, jointly operated by Cornell University and the University of New Hampshire, has conducted annual surveys of intertidal biota on Appledore Island since 1972 and on Star Island in 1970-72. The primary goal of the survey is to train undergraduate university students in observation, species identification, survey methodology, data collection and management, and science communication. The secondary, but equally important, goal is to generate a long-term record of intertidal biota found on Appledore Island, Maine USA. This published dataset includes species presence, abundance, size, and distribution since 1985, the earliest year full records were available for digital archive.
Seed Production Survey, 1988-2009, Adirondack Long-Term Ecological Monitoring Program Project No. 26 by Adirondack Ecological Center of the State University of New York College of Environmental Science and Forestry, Newcomb, New York, USA
The purpose of this project is to 1) estimate number of seeds per unit area in a mature northern hardwood/mixed conifer forest stand and 2) document changes over time in selected tree and shrub seed production. Permanent seed traps were established in 1988 in two forest types. Seed traps (13.9 L [5 gal] capacity buckets) are installed 0.5 m off the ground on two metal stakes in the center of each forested plot. Buckets are open to the tree canopy and have small (< 2cm) holes near the bottom edges for drainage. Fifty collection buckets are placed approximately 30 m (100 feet) apart and distributed along painted grid lines in the Huntington Wildlife Forest Natural Area. Twenty-five plots are northern hardwood upland forest (dominated by sugar maple, American beech and yellow birch with some conifers) and 25 plots are in the mixed hardwood/conifer lakeshore forest type (dominated by red maple, yellow birch, red spruce and eastern hemlock). Tree and shrub seeds are collected annually during two periods: July to November (Fall) and November to July (Spring). The spring and autumn collections are based on tree species’ seed phenology. If a bucket was tipped over due to disturbance by a bear or some other factor, it was censored from the survey for that year. Mice or other seed predators that were physically found/present in buckets also resulted in sample censoring. Animal scat or partly-consumed seeds are not censored, as these may have fallen from the tree canopy during seed predators’ normal activities.
White-tailed Deer Population Study, 1962-2008, 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
From 1962-2008, White-tailed deer (Odocoileus virginianus) were studied at the SUNY ESF Huntington Wildlife Forest (HWF) and adjacent private and public lands in Essex and Hamilton Counties, New York, USA. Social group membership, migration and dispersal, reproductive biology, and many other objectives were studied over the course of the study period. Deer were captured, individually marked with ear tags or streamers, fitted with radio collars (later, GPS collars), and released to be tracked for a variety of research objectives. Deer were located by visual observation, recapture, and/or their location was estimated with ground, air or tower-based radio telemetry. Physical condition of deer was recorded at capture and at subsequent recapture or visual observation select variables were documented (e.g., deer group size; presence of fawns with does). Physiological, demographic, social organization, home range and behavior data were collected. HWF is a no-hunting area but deer could be harvested if they moved to huntable parts of the study area; there was a managed hunt on HWF in 1966-1970 and in 1984 to meet deer density and forest management objectives at that time. Unmarked deer were incorporated into the dataset if they were roadkilled, harvested or otherwise encountered during field activity; these deer did not receive individual identifications but may have been incorporated into select projects.
Continuous Forest Inventory (CFI), 1970-2017, Long-term Forest Property Monitoring by State University of New York College of Environmental Science and Forestry, New York, USA
SUNY College of Environmental Science and Forestry (ESF) based in Syracuse, New York, maintains a series of Continuous Forest Inventory (CFI) permanent plots on their Forest Properties. ESF has over 700 CFI plots located on 5 different properties, four properties in the Adirondack Mountains of northern New York and one property south of Syracuse. Plots cover northern hardwood species including sugar maple, red maple, yellow birch, beech, white ash, red oak, white pine, hemlock, red spruce, and pine/softwood plantations of various species. Data is collected at ten year intervals on each property starting from initial plot establishment. Plot information collected includes: location information, slope, aspect, forest type, cutting history, and photo of plot. Tree information/measurements include (in general, trees greater than 3.6 inches diameter at breast height): tree tag number, species, tree history, diameter at breast height, sawlog height, bole height, total height, crown vigor, crown class, tree location, and tree notes. Data is collected/field checked/edited according to detailed written procedures by ESF professional staff with assistance of students. Data is collected to monitor general forest health, growth rates, mortality, and overall forest metrics. Data is used to calculate standing volumes, stocking of forest trees, carbon stocking in addition to other information. ESF Forest Properties with CFI plots:
Minnesota Department of Natural Resources Sentinel Lakes Monitoring Program Chemistry, 2008-2011
SLICE (Sustaining Lakes in a Changing Environment) is a cooperative long-term, statewide lake monitoring program led by DNR Fisheries with the support of many other partners. The focus of this interdisciplinary effort is to improve understanding of how major drivers of change such as development, agriculture, climate change, and invasive species can affect lake habitats and fish populations, and to develop a long-term strategy to collect the necessary information to detect undesirable changes in Minnesota lakes.
Sacramento-San Joaquin Delta Socioecological Monitoring
This dataset covers observations of human activities and traces collected during monitoring runs to and on Ecorestore project sites. The dataset provides snapshots of activity at the point and time of monitoring, which occurred during daylight hours on weekdays. Locations are approximate as many observations were recorded by reach (between launches and destinations). The goal of the monitoring project was to assemble a composite and comparative picture of human use and activities in the Sacramento-San Joaquin, based on the following typologies: Waterways, Tracts (reclaimed; Farmed, Wildlife-friendly farmed, Subsidence reversal, Managed marsh/duck club (Suisun Marsh, Yolo Bypass), Other), Flooded tracts (Franks Tract, Big Break), Restoration (Tidal wetlands, Floodplain/levee setback/breaching). This dataset was created as part of the experimental prototyping of a socioecological monitoring protocol. This protocol was developed in collaboration with the CDFW fish restoration program to enable the collection of human use and activity data in and around Ecorestore project sites. The human use data was intended to inform understanding of how restoration affected human uses and activities. The idea was to collect data before, during, and after restoration, which would have enabled a modified Before-After-Control-Impact (BACI) test. Not enough data was collected to effectively conduct this test. Geographic coordinates correspond with an approximate location of monitoring sites and rivers reaches within which observations were recorded.
Monitoring of vegetation and fire in Florida scrub, flatwoods, and wet prairie in south-central Florida from 1977-2015
This data package is comprised of three datasets all pertaining to the impacts of prescribed fires and wildfires on vegetation at 11 permanent transect sites over nearly four decades at Archbold Biological Station (ABS) in south-central Florida. Data were collected between 1977 to 2015 in wet prairies, flatwoods, oak scrub, rosemary scrub, and hickory scrub. The first dataset, cover_data, contains year and month of sampling at a given transect site, the vegetation association type, burn unit, and the percentage cover data for sampled species and bare ground. The second dataset, fire_occurrence, includes the dates of each fire that impacted each transect site, the burn unit of the transect, and the percentage of transect burned. The third dataset, species_information, includes the scientific name, common name, plant family, and nativity of each sampled species. A fourth unpublished dataset provides the GPS locations for all the aluminum posts that mark each of the 11 transects. These data are available from the Archbold data manager. Below we summarize the setup and data collected for each dataset. Cover_data: We determined the percentage cover (i.e., dominance) of each encountered species at 11 vegetation stands including two wet prairies (WS20, WS21), three flatwoods (WS30, WS42, WSP1), and six Florida scrub associations including four oak scrubs (WS26, WSP2, WS24, WS25, the latter two include areas of rosemary scrub), a rosemary scrub (WS27), and a hickory scrub (WS29). Each stand was sampled at selected times, ranging from five to as many as 12 repeated samplings, during the 38-yr period beginning in 1977 and continuing to 2015. Stands were sampled during January (mid-way during the winter dry season) except for sampling four stands in May 1977 and eight stands in July 1977 to document short-term 4-month and 6-month vegetation recovery following the initial January 1977 prescription burn. At each permanently marked transect site, we sampled 200 m using two parall
Minnesota Pollution Control Agency (MPCA): Lake Monitoring Program, Chemistry, 1999-2012
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. Staff also collects information on water color, suspended solids, temperature, dissolved oxygen and a number of other parameters. 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. The MPCA uses a Standard Operating Procedure (SOP), posted on the state Pollution Control Agency website, when conducting its lake monitoring.
Indiana Clean Lakes monitoring program from 1988-2010
The Indiana Volunteer Lake Monitoring Program was created in 1989 as a component of the Indiana Clean Lakes Program (CLP) administered through the Indiana Department of Environmental Management (IDEM). Indiana University’s School of Public and Environmental Affairs (SPEA) implements the program through a grant from IDEM. The Indiana Clean Lakes Program is a comprehensive, statewide public lake management program with five components: public information and education, technical assistance, volunteer lake monitoring, lake water quality assessment, and coordination with other state and federal lake programs. The Volunteer Lake Monitoring Program component of the Clean Lakes Program was created to accomplish four main objectives: 1. Collect water quality data that will contribute to the understanding of how Indiana lakes function; 2. Monitor water quality changes to provide an early warning for problems that may be occurring in lakes; 3. Encourage citizen involvement in the protection and management of their lakes; 4. Provide the means whereby Indiana citizens can learn more about lake ecology and management. All volunteers in the Program take Secchi disk transparency measurements on their lakes. A subset of volunteers also collects water samples for total phosphorus and chlorophyll a analyses through our Expanded Program. Phosphorus is the primary limiting nutrient required for growth by algae and aquatic plants; therefore most lake management programs measure phosphorus concentrations. Chlorophyll a is the primary green pigment in algae and is a direct measure of algal production. Dissolved oxygen and temperature meters are also available to volunteers throughout the state. Given that dissolved oxygen and temperature profiles change throughout the season, volunteers are encouraged to take several profiles, ideally once each month.
Long-term monitoring of surface water in central Arizona-Phoenix: period 1997 to 2008
The main aim of this project is to initiate and develop a field sampling program designed to answer the following questions: (1) What are the concentrations and amounts of key nutrients, salts and trace metals being imported to and exported from the CAP LTER urban areas in surface waters (rivers and canals)? (2) How do these terms change over time in response to increasing urbanization and variations in climate? (3) What are the spatial patterns of accumulation and export, and how do these relate to specific land use patches?
Gull Lake long-term Microcystis monitoring at the Kellogg Biological Station, Hickory Corners, MI (1998 to 2014)
Dataset Abstract This dataset consists of 13 years of observations of Microcystis biomass and microcystin in an oligotrophic lake (Gull Lake, MI, USA), where it is promoted by invasive zebra mussels (Dreissena polymorpha). Annual means are reported for all variables. As originally published, the data were used to assess the influence of interannual variation in water temperature and zebra mussel mortality on Microcystis dynamics in an oligotrophic lake original data source http://lter.kbs.msu.edu/datasets/165
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.