Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
195
datasets available to search
ShareScore release 0.7.1
Dataset results
195 results for “long-term monitoring”
Trinity College Botanic Garden long-term monitoring program
Open the record for dataset details and reuse information.
Stakeholders engagement as an important step for the long-term monitoring of wild ungulate populations
Open the record for dataset details and reuse information.
Satellite-based habitat monitoring reveals long-term dynamics of deer habitat in response to forest disturbances
Open the record for dataset details and reuse information.
Data and code for: Leveraging long-term data to improve biodiversity monitoring with species distribution models
Open the record for dataset details and reuse information.
Final eddy covariance dataset to support lessons from long-term monitoring of carbon gains and losses in cropping systems
Open the record for dataset details and reuse information.
NDVI-based monitoring of long-term vegetation dynamics and responses to multi-time scales droughts in Inner Mongolia
Open the record for dataset details and reuse information.
Monitoring long-term vegetation dynamics over the Yangtze River Basin, China, using multi-temporal remote sensing data
Open the record for dataset details and reuse information.
Improving citizen science data for long-term monitoring of plant species
Open the record for dataset details and reuse information.
Long-term monitoring reveals forest tree community change driven by atmospheric sulfate pollution and contemporary climate change
Open the record for dataset details and reuse information.
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:
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
SGS-LTER Long-Term Monitoring Project: Body weights of rodents captured during SGS-LTER live-trapping on the Central Plains Experimental Range, Nunn, Colorado, USA 1994 -2011, ARS Study Number 118
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/10217/83452. Body size is a fundamental biological measurement that is known to be related to an organism's physiology, life-history and ecology. Estimates of body size are also widely used in comparative evolutionary and ecological studies, including food web and diet studies that require estimates of biomass. Beginning in 1994, small mammals are live-trapped twice each year on the three grassland and three shrubland trapping webs. Individuals are weighed (to nearest 0.5 g using a Pesola spring scale) when first captured during a given trapping session but not upon recapture during the same session. Weights are calculated by subtracting the weight of an empty capture (ziploc) bag from the weight of animal in the bag. Individuals are classified into age classes (adult, subadult, juvenile) in the field based on a combination of size and pelage characteristics. This dataset gives means, standard deviations, minimum and maximum values for body weight, in grams, of small mammals captured between September 1994 and September 2008. All sites and sampling periods were combined. Most individuals (~93%) were classified as new captures, although a few individuals that were captured multiple time
Data from: Long-term monitoring data provide evidence of declining species richness in a river valued for biodiversity conservation
Free-flowing river segments provide refuges for many imperiled aquatic biota that have been extirpated elsewhere in their native ranges. These biodiversity refuges are also foci of conservation concerns because species persisting within isolated habitat fragments may be particularly vulnerable to local environmental change. We have analyzed long-term (14- and 20-year) survey data to assess evidence of fish species declines in two southeastern U.S. rivers where managers and stakeholders have identified potentially detrimental impacts of current and future land uses. The Conasauga River (Georgia and Tennessee) and the Etowah River (Georgia) form free-flowing headwaters of the extensively dammed Coosa River system. These rivers are valued in part because they harbor multiple species of conservation concern, including three federally endangered and two federally threatened fishes. We have used data sets comprising annual surveys for fish species at multiple, fixed sites located at river shoals to analyze occupancy dynamics and temporal changes in species richness. Our analyses incorporate repeated site-specific surveys in some years to estimate and account for incomplete species detection, and test for species-specific (rarity, mainstem-restriction) and year-specific (elevated frequencies of low- or high-flow days) covariates on occupancy dynamics. In the Conasauga River, analysis of 26 species at 13 sites shows evidence of temporal declines in colonization rates for nearly all taxa, accompanied by declining species richness. Four taxa (including one federally endangered species) have reduced occupancy across the Conasauga study sites, with three of these taxa apparently absent for at least the last 5 years of the study. In contrast, a similar fauna of 28 taxa at 10 sites in the Etowah River shows no trends in species persistence, colonization or occupancy. None of the tested covariates show strong effects on persistence or colonization rates in either river. Previous studies and observations identify contaminants, nutrient loading, or changes in benthic habitat as possible causes for fish species declines in the Conasauga River. Our analysis provides baseline information that could be used to assess effectiveness of future management actions in the Conasauga or Etowah rivers, and illustrates the use of dynamic occupancy models to evaluate evidence of faunal decline from time-series data.
Data from: Long-term environmental monitoring for assessment of change: measurement inconsistencies over time and potential solutions
The importance of long-term environmental monitoring and research for detecting and understanding changes in ecosystems and human impacts on natural systems is widely acknowledged. Over the last decades a number of critical components for successful long-term monitoring have been identified. One basic component is quality assurance/quality control protocols to ensure consistency and comparability of data. In Norway, the authorities require environmental monitoring of the impacts of the offshore petroleum industry on the Norwegian continental shelf, and in 1996 a large-scale regional environmental monitoring program was established. As a case study, we used a sub-set of data from this monitoring to explore concepts regarding best practices for long-term environmental monitoring. Specifically, we examined data from physical and chemical sediment samples and benthic macro-invertebrate assemblages from 11 stations from six sampling occasions during the period 1996-2011. Despite the established quality assessment and quality control protocols for this monitoring program, we identified several data challenges, such as, missing values and outliers, discrepancies in variable and station names, changes in procedures without calibration, and different taxonomic resolution. Furthermore, we show that the use of different laboratories over time makes it difficult to draw conclusions with regard to some of the observed changes. We offer recommendations to facilitate comparison of data over time. We also present a new procedure to handle different taxonomic resolution so valuable historical data is not discarded. These topics have a broader relevance and application than for our case study.
Data from: Challenges of NGS in conservation management: insights from long-term monitoring of corridor effects on the genetic diversity of mouse lemurs in a fragmented landscape
Long-term genetic monitoring of populations is essential for efforts aimed at preserving genetic diversity of endangered species. Here, we employ a framework of long-term genetic monitoring to evaluate the effects of fragmentation and the effectiveness of the establishment of corridors in restoring population connectivity and genetic diversity of mouse lemurs Micocebus ganzhorni. To this end, we supplement estimates of neutral genetic diversity with the assessment of adaptive genetic variability of the MHC. In addition, we address the challenges of long-term genetic monitoring of functional diversity by comparing the genotyping performance and estimates of MHC variability generated by SSCP/Sanger-sequencing with those obtained by high throughput sequencing (NGS, Illumina), an issue that is particularly relevant when previous work serves as a baseline for planning management strategies that aim to ensure the viability of a population. We report that SSCP greatly underestimates individual diversity and that discrepancies in estimates of MHC diversity attributable to the comparisons of traditional and NGS genotyping techniques can influence the conclusions drawn from conservation management scenarios. Evidence of migration among fragments in Mandena suggests that mouse lemurs are robust to the process of fragmentation and that the effect of corridors is masked by ongoing gene flow. Nonetheless, results based on a larger number of shared private alleles at neutral loci between fragment pairs found after the establishment of corridors in Mandena suggest that gene flow is augmented as a result of enhanced connectivity. Our data points out that despite low effective population size, M. ganzhorni maintains high individual heterozygosity at neutral loci and at MHC II DRB gene and that selection plays a predominant role in maintaining MHC diversity. These findings highlight the importance of long-term genetic monitoring in order to disentangle between the processes of drift and selection maintaining adaptive genetic diversity in small populations.
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.