100+ datasets found
  1. p

    Long Term Movement Monitoring Database

    • physionet.org
    • search.datacite.org
    Updated Jun 20, 2016
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    Jeffrey Hausdorff (2016). Long Term Movement Monitoring Database [Dataset]. http://doi.org/10.13026/C2S59C
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    Dataset updated
    Jun 20, 2016
    Authors
    Jeffrey Hausdorff
    License

    Open Data Commons Attribution License (ODC-By) v1.0https://www.opendatacommons.org/licenses/by/1.0/
    License information was derived automatically

    Description

    The LTMM database contains 3-day 3D accelerometer recordings of 71 elder community residents, used to study gait, stability, and fall risk.

  2. n

    Long Term Monitoring Data Summaries

    • catalog.northslopescience.org
    Updated Feb 23, 2016
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    (2016). Long Term Monitoring Data Summaries [Dataset]. https://catalog.northslopescience.org/dataset/1942
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    Dataset updated
    Feb 23, 2016
    Description

    These data summary reports are a listing of the long-term monitoring studies that have been compiled within the North Slope Science Catalog. These lists are compiled by research topic and NSSI emerging issue. The NSSI Science Technical Advisory Panel (STAP) defined long-term monitoring as multiple collections of the same variable over a period of 10 years or longer by comparable methodology. Projects or initiatives that have been undertaken in the last five years and that are intended to continue into the future were also considered. The STAP reviewed an existing inventory of projects to identify long term monitoring projects within the North Slope region. It is anticipated that the STAP will review projects annually. This list can be found by clicking on the Long Term Monitoring collection within the Catalog data page. Additional projects that were identified after STAP review as possible long term monitoring are listed as candidate long term monitoring projects. This listing of candidate projects includes projects that were intended to provide ecological baseline measurements but have no funding for long term continued sampling. This listing of Long Term Monitoring Candidates can be also found by clicking on the Long Term Monitoring Candidates collection within the Catalog data page.

  3. EPA Long-Term Monitoring of Acidified Surface Waters

    • s.cnmilf.com
    • gimi9.com
    • +1more
    Updated Jan 21, 2024
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    U.S. Environmental Protection Agency (2024). EPA Long-Term Monitoring of Acidified Surface Waters [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/epa-long-term-monitoring-of-acidified-surface-waters
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    Dataset updated
    Jan 21, 2024
    Dataset provided by
    United States Environmental Protection Agencyhttp://www.epa.gov/
    Description

    This dataset compiles surface water chemistry data from 1980 to 2020 and will be updated annually with an approximate lag time of one year. Data are collected in four regions in the eastern United States (Virginia streams, New York lakes and streams, Maine and New Hampshire lakes, and Vermont lakes). These data are used to calculate trends in surface water chemistry to assess aquatic ecosystem response to changes in sulfur and nitrogen deposition. Water chemistry in this data can be influenced by the ambient flow conditions. To be included in the dataset, sites needed to have regular sampling (at least once per year for 20 years). Citation information for this dataset can be found in Data.gov's References section.

  4. d

    Long Term Monitoring Network - Vegetation Monitoring Plots

    • environment.data.gov.uk
    Updated May 16, 2024
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    Natural England (2024). Long Term Monitoring Network - Vegetation Monitoring Plots [Dataset]. https://environment.data.gov.uk/dataset/a57c61e8-6602-4592-9cc1-b3575f77eb94
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    Dataset updated
    May 16, 2024
    Dataset authored and provided by
    Natural Englandhttp://www.gov.uk/natural-england
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    There are 37 sites in the LTMN project, each having 50 permanent vegetation monitoring plots (and 5 permanent soils monitoring plots). For the vegetation monitoring plots, the 50 no. 2m x 2m squares are marked with a single point in the south-west corner of the square.

  5. Aquatic Health and Climate Change: Long-term Monitoring - Monitoring Sites...

    • catalog.data.gov
    • s.cnmilf.com
    Updated Feb 22, 2025
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    U.S. Fish and Wildlife Service (2025). Aquatic Health and Climate Change: Long-term Monitoring - Monitoring Sites and USGS Stations [Dataset]. https://catalog.data.gov/dataset/aquatic-health-and-climate-change-long-term-monitoring-monitoring-sites-and-usgs-stations
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    Dataset updated
    Feb 22, 2025
    Dataset provided by
    U.S. Fish and Wildlife Servicehttp://www.fws.gov/
    Description

    This reference was created to house geospatial data related to Aquatic Health and Climate Change: Long-term Monitoring starting in 2021. This project is the continuation of the Aquatic Health Pilot Project (2014-2019). Service programs (Refuges, Fish and Aquatic Conservation, and Water Resources) are collaborating to implement a long-term aquatic monitoring program for evaluating effects of climate change at National Wildlife Refuges (NWRs) in the Columbia-Pacific Northwest Region (IR9). The goal is to evaluate evidence of climate change on physical and habitat variables, and potential associations with changes in fish assemblages in wadeable streams. The program relies on two site specific protocols (SSPs), one addressing habitat and fish surveys (this SSP) and another addressing temperature and stream flow. For habitat and fish, objectives are to: establish a survey reach within a stream at each of five NWRs across the range of ecoregions in IR9; describe habitat in each survey reach once every five years or less; describe fish assemblages in each survey reach once every five years or less; analyze for temporal changes in habitat and fish assemblages, and assess potential temporal associations between habitat and fish assemblages. Data collected at survey reach are based on a subset of protocols developed by the U.S. Environmental Protection Agency for the Environmental Monitoring and Evaluation Program (EMAP; Peck et al. 2006).

  6. Long Term Monitoring Network Vegetation Quadrats

    • gbif.org
    Updated May 14, 2025
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    Natural England (2025). Long Term Monitoring Network Vegetation Quadrats [Dataset]. http://doi.org/10.15468/eiazkc
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    Dataset updated
    May 14, 2025
    Dataset provided by
    Global Biodiversity Information Facilityhttps://www.gbif.org/
    Natural England
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2010 - Sep 30, 2022
    Area covered
    Description

    This dataset includes the results of vegetation quadrat surveys collected for the Natural England Long Term Monitoring Network. Surveys were conducted by a mixture of volunteers, Natural England staff, and paid contractors, using a standard protocol (see http://publications.naturalengland.org.uk/category/5895911152025600) and a range of quality assurance procedures. Natural England’s Long Term Monitoring Network project (LTMN) began in 2009 and aims to investigate how biodiversity is changing and identify the causes of change in ecosystems important for their nature conservation value. A rolling programme of vegetation surveys is repeated approximately every four years.

  7. Summary Data from Greater Yellowstone Ecosystem Interagency Whitebark Pine...

    • catalog.data.gov
    Updated Jun 5, 2024
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    National Park Service (2024). Summary Data from Greater Yellowstone Ecosystem Interagency Whitebark Pine Long Term Monitoring Program [Dataset]. https://catalog.data.gov/dataset/summary-data-from-greater-yellowstone-ecosystem-interagency-whitebark-pine-long-term-monit
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    Dataset updated
    Jun 5, 2024
    Dataset provided by
    National Park Servicehttp://www.nps.gov/
    Description

    This summary data set in Microsoft Excel format is from the master relational database for whitebark pine pine tree monitoring starting in 2004 at permanent, long term monitoring plots on federally administered lands throughout the Greater Yellowstone Ecosystem.

  8. AIMS Long-term Monitoring Program: Crown-of-thorns starfish and benthos...

    • researchdata.edu.au
    • catalogue.eatlas.org.au
    Updated 2025
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    Australian Institute of Marine Science (AIMS); Emslie, M (2025). AIMS Long-term Monitoring Program: Crown-of-thorns starfish and benthos Manta Tow Data (Great Barrier Reef) [Dataset]. https://researchdata.edu.au/aims-long-term-barrier-reef/677186
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    Dataset updated
    2025
    Dataset provided by
    Australian Institute Of Marine Sciencehttp://www.aims.gov.au/
    Authors
    Australian Institute of Marine Science (AIMS); Emslie, M
    Area covered
    Description

    64 'key' reefs in 11 sectors of the Great Barrier Reef (Cape Grenville, Princess Charlotte Bay, Cooktown/Lizard Island, Cairns, Innisfail, Townsville, Cape Upstart, Whitsunday, Pompey Complex, Swain and Capricorn Bunker) are annually surveyed for crown-of-thorns starfish using the manta tow technique. An additional 117 reefs from the sectors (excluding the Whitsunday, Swain and Capricorn-Bunker sectors) are scheduled for survey every third year ('cycle' reefs). The cycle manta tow reefs take second priority if surveys are unable to be completed because of bad weather and limited ship time.

    Results of manta tow surveys around the perimeter of reefs assessing populations of Crown-of-Thorns Starfish (COTS), Acanthaster cf. solaris. Historical data are held from a number of projects - P. Moran's post-doctoral work, CCEP scheme, COTSAC, COTSREC, LTMP. All data are stored in the Oracle database table RM_MANTA, and data from all but the first listed program are generally consistent and systematic. In the latest and ongoing program - the Long Term Monitoring Program (LTMP) - about 50 reefs throughout the Great Barrier Reef and NW Australia have been sampled.

    Observations started in January 1982 and are ongoing.

    For each two-minute manta tow the variables recorded are: Number and size of COTS; Percentage cover of live coral, dead coral, and soft coral; Visibility; Any other observations of note.

    The ambient variables recorded include, information about the survey (reef name, time, date, data collectors), and the weather conditions:(Wind strength; Cloud cover; Sea state; and Tide).

    Information is also recorded about the reef environment of each survey (e.g. reef slope, substratum at reef base) and its benthic community (dominant benthic group, dominant hard coral, and dominant coral life form).

    To assess populations of Crown-of-Thorns Starfish (COTS), Acanthaster cf. solaris, on reefs.

    Coral Reef - Feeding Scar, Crown of Thorns Starfish - Diameter, Crown of Thorns Starfish - Outbreak Status, Percentage Cover, Count - Individuals, Turbidity

    Number and size of COTS. Size is recorded as follows: J = less than or equal to 5cm, early juvenile, <1 yr; A = 6-15cm Juvenile, 1-2 yrs; B = 15-25cm Sub-Adult, 2-3 yrs; C = >25cm Adult, >3 yrs). If no COTS are seen, then the column is left blank. When several size categories are seen, the category with the most numerous counts is recorded, and a note is made of the other size categories in the 'other' column. Percentage cover of live coral, dead coral, and soft coral. Categories are: 0 = 0%, 1- = 1-5%, 1+ = 5-10%, 2 = 10-30%, 3 = 30-50%, 4 = 50-75%, 5 = 75-100%. Presence of COTS feeding scars: absent (A: 0), present (P: 1-10) or common (C >10).

    The ambient variables recorded include, information about the survey (reef name, time, date, data collectors), and the weather conditions: Wind strength categories: 1 = 0-5 knots; 2 = 6-10 knots; 3 = 11-15 knots; 4 = 16-20 knots; 5 = 21-25 knots Cloud cover unit of measure is the okta. One okta = one eigth of the sky. Sea State. A modified Beaufort scale describes sea state: Calm = Mirror-like to small ripples; Slight = Small waves, some whitecaps; Moderate = Moderate waves, many whitecaps; Rough = Large waves 2-3 m, whitecaps everywhere, some spray Tide is recorded as low (1.5 hrs either side of Low water), high (1.5 hrs either side of High water), falling (between High and Low water) or rising (between Low and High water), determined from a Tide Table.

    Data have been used for the e-Atlas: http://e-atlas.org.au/content/large-scale-manta-tow-surveys-densities-crown-thorns-starfish-and-benthic-cover-aims-ltmp

  9. MARINe/PISCO: Intertidal: MARINe Long-Term Monitoring Surveys: Photo Plots...

    • gbif.org
    • search.dataone.org
    • +6more
    Updated Jun 11, 2025
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    Pete Raimondi; Richard Ambrose; Jack Engle; Jennifer Burnaford; Jayson Smith; Jenn Caselle; Jenny Waddell; Megan Dethier; Darren Fong; Ben Becker; Steven Fradkin; Heath Bohlmann; Melissa Miner; Jessica Curran; Lauren Pandori; Stephen Whitaker; Jan Roletto; Pete Raimondi; Richard Ambrose; Jack Engle; Jennifer Burnaford; Jayson Smith; Jenn Caselle; Jenny Waddell; Megan Dethier; Darren Fong; Ben Becker; Steven Fradkin; Heath Bohlmann; Melissa Miner; Jessica Curran; Lauren Pandori; Stephen Whitaker; Jan Roletto (2025). MARINe/PISCO: Intertidal: MARINe Long-Term Monitoring Surveys: Photo Plots and Transects Summarized [Dataset]. http://doi.org/10.15468/ranfdh
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    Dataset updated
    Jun 11, 2025
    Dataset provided by
    Global Biodiversity Information Facilityhttps://www.gbif.org/
    NOAA Integrated Ocean Observing System
    Authors
    Pete Raimondi; Richard Ambrose; Jack Engle; Jennifer Burnaford; Jayson Smith; Jenn Caselle; Jenny Waddell; Megan Dethier; Darren Fong; Ben Becker; Steven Fradkin; Heath Bohlmann; Melissa Miner; Jessica Curran; Lauren Pandori; Stephen Whitaker; Jan Roletto; Pete Raimondi; Richard Ambrose; Jack Engle; Jennifer Burnaford; Jayson Smith; Jenn Caselle; Jenny Waddell; Megan Dethier; Darren Fong; Ben Becker; Steven Fradkin; Heath Bohlmann; Melissa Miner; Jessica Curran; Lauren Pandori; Stephen Whitaker; Jan Roletto
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Oct 18, 2002 - Dec 15, 2023
    Area covered
    Description

    Long-Term Monitoring and Biodiversity Surveys done by the Multi-Agency Rocky Intertidal Network (MARINe) occur throughout the year at sites ranging from Southeast Alaska to Mexico. Long Term Monitoring surveys assess within-site community change over time, while Biodiversity surveys were designed to capture among-site patterns of community structure (abundance and spatial distribution of species). In combination, the long-term, targeted species approach and the biodiversity surveys provide a wealth of information about the structure and dynamics of rocky intertidal communities along the Pacific Coast of North America.

    This metadata record documents the Photo Plot and Transect Survey data for MARINe Long-Term Monitoring surveys. Photo Plots are used to monitor percent cover of organisms within target species assemblages. Plots are established for a given species assemblage if overall cover at a site is sufficient for monitoring. Transects are used to monitor percent cover of surfgrass, kelps, and other algae.

    Please note that species of concern have been removed from all public datasets, as well as data from sites funded by the National Park Service (NPS) and the United States Navy. For a comprehensive dataset, please contact the data set owner(s). For more information about the data described in this metadata record, please visit pacificrockyintertidal.org.

    The long-term California MPA boundary and project info tables referenced in this dataset can be found as a separate dataset here: https://opc.dataone.org/view/doi:10.25494/P6V884

    The source data for this dataset can be found here: https://data.piscoweb.org/metacatui/view/doi%3A10.6085%2FAA%2Fmarine_ltm.4.14

  10. AIMS Long-term Monitoring Program

    • catalogue.eatlas.org.au
    • researchdata.edu.au
    • +1more
    Updated Jun 23, 2025
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    Australian Institute of Marine Science (AIMS) (2025). AIMS Long-term Monitoring Program [Dataset]. https://catalogue.eatlas.org.au/geonetwork/srv/api/records/a17249ab-5316-4396-bb27-29f2d568f727
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    www:link-1.0-http--related, www:link-1.0-http--downloaddataAvailable download formats
    Dataset updated
    Jun 23, 2025
    Dataset provided by
    Australian Institute Of Marine Sciencehttp://www.aims.gov.au/
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    The AIMS Long-term Monitoring Program (LTMP) is designed to detect changes in reef communities at a subregional scale. In this context, a subregion encompasses inshore, mid-shelf and outer shelf reefs across the continental shelf within one band of latitude (a sector).Reef surveys involve three approaches:1. broadscale manta tow surveys of crown-of-thorns starfish populations and reef-wide coral cover2. Intensive photographic surveys of stationary seafloor (benthic) organisms on fixed transects3. intensive visual counts of reef fish, juvenile corals, crown-of-thorns starfish, coral-eating snails and coral disease and bleaching.

  11. National Long-term Water Quality Monitoring Data

    • open.canada.ca
    • catalogue.arctic-sdi.org
    • +3more
    csv, esri rest, html +2
    Updated Apr 10, 2025
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    Environment and Climate Change Canada (2025). National Long-term Water Quality Monitoring Data [Dataset]. https://open.canada.ca/data/en/dataset/67b44816-9764-4609-ace1-68dc1764e9ea
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    csv, html, txt, wms, esri restAvailable download formats
    Dataset updated
    Apr 10, 2025
    Dataset provided by
    Environment And Climate Change Canadahttps://www.canada.ca/en/environment-climate-change.html
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    Long-term freshwater quality data from federal and federal-provincial sampling sites throughout Canada's aquatic ecosystems are included in this dataset. Measurements regularly include physical-chemical parameters such as temperature, pH, alkalinity, major ions, nutrients and metals. Collection includes data from active sites, as well as historical sites that have a period of record suitable for trend analysis. Sampling frequencies vary according to monitoring objectives. The number of sites in the network varies slightly from year-to-year, as sites are adjusted according to a risk-based adaptive management framework. The Great Lakes are sampled on a rotation basis and not all sites are sampled every year. Data are collected to meet federal commitments related to transboundary watersheds (rivers and lakes crossing international, inter-provincial and territorial borders) or under authorities such as the Department of the Environment Act, the Canada Water Act, the Canadian Environmental Protection Act, 1999, the Federal Sustainable Development Strategy, or to meet Canada's commitments under the 1969 Master Agreement on Apportionment.

  12. Social and Economic Long Term Monitoring Program (SELTMP) for the Great...

    • data.csiro.au
    • researchdata.edu.au
    Updated Mar 13, 2024
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    Matt Curnock; Aditi Mankad; Elizabeth V Hobman; Emilee Chamberland; Petina Pert (2024). Social and Economic Long Term Monitoring Program (SELTMP) for the Great Barrier Reef data, 2023 [Dataset]. http://doi.org/10.25919/ebzb-s968
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    Dataset updated
    Mar 13, 2024
    Dataset provided by
    CSIROhttp://www.csiro.au/
    Authors
    Matt Curnock; Aditi Mankad; Elizabeth V Hobman; Emilee Chamberland; Petina Pert
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2023
    Area covered
    Dataset funded by
    Great Barrier Reef Foundationhttp://barrierreef.org/
    Great Barrier Reef Marine Park Authority
    James Cook University
    CSIROhttp://www.csiro.au/
    Description

    SELTMP is assisting Reef managers and other decision-makers within the Great Barrier Reef region to incorporate the human dimension into their planning and management. Analogous to the Australian Census, SELTMP gathers long-term data specific to Reef users, communities and industries, enabling new insights into relationships, vulnerabilities and dependencies between people and the natural resources. Lineage: Please refer to Methods here https://research.csiro.au/seltmp/methods/

  13. o

    MARINe/PISCO: Intertidal: MARINe Long-Term Monitoring Surveys: Sea Stars and...

    • obis.org
    • portal.obis.org
    • +4more
    zip
    Updated Jul 16, 2025
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    United States Marine Biodiversity Observation Network (2025). MARINe/PISCO: Intertidal: MARINe Long-Term Monitoring Surveys: Sea Stars and Katharina [Dataset]. https://obis.org/dataset/438b8f02-3421-4b2c-a5b2-5934ab76f47b
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    zipAvailable download formats
    Dataset updated
    Jul 16, 2025
    Dataset provided by
    United States Marine Biodiversity Observation Network
    California State University, Fullerton
    University of California, Santa Barbara
    University of California Los Angeles
    Central & Northern California Ocean Observing System
    University of California, Marine Science Institute , Santa Barbara
    Univserity of California, Santa Cruz
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    1992 - 2023
    Variables measured
    Length maximum of biological entity specified elsewhere
    Description

    Long-Term Monitoring and Biodiversity Surveys done by the Multi-Agency Rocky Intertidal Network (MARINe) occur throughout the year at sites ranging from Southeast Alaska to Mexico. Long Term Monitoring surveys assess within-site community change over time, while Biodiversity surveys were designed to capture among-site patterns of community structure (abundance and spatial distribution of species). In combination, the long-term, targeted species approach and the biodiversity surveys provide a wealth of information about the structure and dynamics of rocky intertidal communities along the Pacific Coast of North America. This metadata record documents the Sea Star and Katharina Survey data for MARINe Long-Term Monitoring surveys. Sea Star and Katharina surveys are done by recording the number of a specific organism found in a permanent plot at a given site. Please note that species of concern have been removed from all public datasets, as well as data from sites funded by the National Park Service (NPS) and the United States Navy. For a comprehensive dataset, please contact the data set owner(s). For more information about the data described in this metadata record, please visit pacificrockyintertidal.org. The long-term California MPA boundary and project info tables referenced in this dataset can be found as a separate dataset here: https://opc.dataone.org/view/doi:10.25494/P6V884 The source data for this dataset can be found here: https://data.piscoweb.org/metacatui/view/doi:10.6085/AA/marine_ltm.4.13

  14. AIMS Long-term Monitoring Program: Visual Census Fish Data (Great Barrier...

    • researchdata.edu.au
    Updated 2025
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    Australian Institute of Marine Science (AIMS) (2025). AIMS Long-term Monitoring Program: Visual Census Fish Data (Great Barrier Reef) [Dataset]. https://researchdata.edu.au/aims-long-term-barrier-reef/677369
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    Dataset updated
    2025
    Dataset provided by
    Australian Institute Of Marine Sciencehttp://www.aims.gov.au/
    Authors
    Australian Institute of Marine Science (AIMS)
    Area covered
    Description

    70 selected reefs throughout the Great Barrier Reef (GBR) are sampled in the AIMS Long-term Monitoring Project (LTMP). Underwater visual census is used to survey reef fishes on fixed transects (3 sites per reef, 5 x 50 m transects per site). The abundance and length of all diurnally active, non-cryptic fishes are recorded. A full list of species observed each year can be obtained on request.


    The overarching goal of LTMP fish surveys are to detect changes in reef fish communities over time at a regional scale, but also to examine the effectiveness of Marine Protected Areas.


    All fish species counted are largely non-cryptic, easily identified underwater and include both commercial and non-commercial taxa. Because surveys span the annual recruitment season, 0+ individuals are excluded from counts: these are distinguished from adults by their small size and often distinctive colouration.


    Abundance data for each fish species is subsequently summed over the five transects at each site on each reef to provide reasonable sample sizes for analysis and interpretation.


    Updated results of surveys can be found at:


    https://apps.aims.gov.au/reef-monitoring/reefs


    A subset of the data has been provided to the Ocean Biogeographic Information System (OBIS, http://www.iobis.org/explore/#/dataset/3936).


    Data have been used for the e-Atlas:


    http://eatlas.org.au/data/uuid/05bde62a-70ec-407b-b999-30cf369498af

  15. d

    Long-term monitoring network vegetation survey Stiperstones LTMNB25

    • data.gov.uk
    • cloud.csiss.gmu.edu
    • +2more
    Updated Jul 2, 2020
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    Natural England (2020). Long-term monitoring network vegetation survey Stiperstones LTMNB25 [Dataset]. https://data.gov.uk/dataset/81d9ba26-45de-45ab-b1c5-70feb4a1e08a/long-term-monitoring-network-vegetation-survey-stiperstones-ltmnb25
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    Dataset updated
    Jul 2, 2020
    Dataset authored and provided by
    Natural Englandhttp://www.gov.uk/natural-england
    License

    https://data.gov.uk/dataset/81d9ba26-45de-45ab-b1c5-70feb4a1e08a/long-term-monitoring-network-vegetation-survey-stiperstones-ltmnb25#licence-infohttps://data.gov.uk/dataset/81d9ba26-45de-45ab-b1c5-70feb4a1e08a/long-term-monitoring-network-vegetation-survey-stiperstones-ltmnb25#licence-info

    Area covered
    Stiperstones
    Description

    This dataset contains vegetation data collected on Stiperstones which will help Natural England understand the effects of climate change, air pollution and land management on the natural environment. All LTMN vegetation surveys (no. 80 surveys, spanning 2010 – 2019) have been transferred to a new template to provide improvements and consistency, and are now fully Quality Assured and republished. Attribution statement: © Natural England copyright. Contains Ordnance Survey data © Crown copyright and database right [year].

  16. d

    Environmental data from long-term monitoring sites in St. John, USVI.

    • search.dataone.org
    • bco-dmo.org
    • +1more
    Updated Mar 9, 2025
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    Peter J. Edmunds; Kevin Gross (2025). Environmental data from long-term monitoring sites in St. John, USVI. [Dataset]. http://doi.org/10.1575/1912/bco-dmo.735088.1
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    Dataset updated
    Mar 9, 2025
    Dataset provided by
    Biological and Chemical Oceanography Data Management Office (BCO-DMO)
    Authors
    Peter J. Edmunds; Kevin Gross
    Time period covered
    Jan 1, 1992 - Jan 1, 2011
    Area covered
    Description

    Data published in Ecology paper entitled “Stability of Caribbean coral communities quantified by long-term monitoring and autoregression models.”

  17. d

    Long-term monitoring network vegetation survey The Lizard LTMNB40

    • environment.data.gov.uk
    • cloud.csiss.gmu.edu
    • +2more
    Updated Jul 1, 2020
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    Natural England (2020). Long-term monitoring network vegetation survey The Lizard LTMNB40 [Dataset]. https://environment.data.gov.uk/dataset/6aa73b64-bc69-4714-b16b-ac66b7b3bec3
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    Dataset updated
    Jul 1, 2020
    Dataset authored and provided by
    Natural Englandhttp://www.gov.uk/natural-england
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    This dataset contains vegetation data collected on The Lizard which will help Natural England understand the effects of climate change, air pollution and land management on the natural environment. All LTMN vegetation surveys (no. 80 surveys, spanning 2010 – 2019) have been transferred to a new template to provide improvements and consistency, and are now fully Quality Assured and republished.

  18. Marine Protected Areas Long-term Monitoring Bioregions - R7 - CDFW [ds3179]

    • data.cnra.ca.gov
    • data.ca.gov
    • +3more
    Updated Apr 26, 2024
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    California Department of Fish and Wildlife (2024). Marine Protected Areas Long-term Monitoring Bioregions - R7 - CDFW [ds3179] [Dataset]. https://data.cnra.ca.gov/dataset/marine-protected-areas-long-term-monitoring-bioregions-r7-cdfw-ds3179
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    html, kml, csv, geojson, zip, arcgis geoservices rest apiAvailable download formats
    Dataset updated
    Apr 26, 2024
    Dataset authored and provided by
    California Department of Fish and Wildlifehttps://wildlife.ca.gov/
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The 2018 Marine Protected Area Monitoring Action Plan identified three bioregions for long-term marine protected area (MPA) monitoring: the north coast (California/ Oregon border to San Francisco Bay, including the Farallon Islands), the central coast (San Francisco Bay to Point Conception), and the south coast (Point Conception to the U.S./Mexico border, including the Channel Islands). These regions are distinct from the original five Marine Life Protection Act planning regions in which baseline monitoring occurred; the establishment of the five MLPA planning regions was intended to facilitate an MPA design process capable of accommodating the distinctive social and geopolitical attributes along the California coast. The three bioregions in the Action Plan were designated based on biological, ecological, and habitat data gleaned from baseline monitoring.

    The shoreline provided in this feature is a general approximation of the mean high tide line at the time of MPA implementation between 2007 and 2012. However, it is important to note that it is not based on any elevation (tidal) data and was hand drawn based on best available aerial imagery at the time. Due to the dynamic nature of coastal environments, these boundaries may not accurately reflect the current condition or exact demarcations of the coastline. The offshore boundary is based on the National Oceanic and Atmospheric Administration (NOAA) three nautical mile maritime limit published on charts at that time.

  19. d

    NCCOS Long-term Monitoring Project: Regional Ecological Assessments and...

    • catalog.data.gov
    Updated May 22, 2025
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    (Point of Contact, Custodian) (2025). NCCOS Long-term Monitoring Project: Regional Ecological Assessments and National Benthic Inventory [Dataset]. https://catalog.data.gov/dataset/nccos-long-term-monitoring-project-regional-ecological-assessments-and-national-benthic-invento1
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    Dataset updated
    May 22, 2025
    Dataset provided by
    (Point of Contact, Custodian)
    Description

    NOAA's National Centers for Coastal Ocean Science (NCCOS) works in partnership with other federal agencies and coastal states to conduct assessments of ecological condition and potential stressor impacts throughout our Nation’s estuaries, coastal-ocean waters, and NOAA protected areas; carry out studies to determine environmental impacts of specific pollution events or natural disasters; and perform additional related research to develop new ecological indicators and improved diagnostic tools to assess, predict, and manage future conditions. NCCOS has conducted a series of Regional Ecological Assessments (REA) aimed at evaluating condition of living resources and ecosystem stressors in estuarine and coastal areas including National Estuarine Research Reserve System (NERRS), National Marine Sanctuaries (NMS), and continental shelf regions of the Mid-Atlantic Bight, South-Atlantic Bight, Florida Shelf, and Gulf of Mexico. Information from these studies provides a means to assess the current status of ecological condition and stressor impacts throughout these areas, and serves as a baseline for evaluating future changes due to natural or human-induced disturbances. The NOAA National Benthic Inventory (NBI) is a quantitative database on benthic species distributions obtained from studies conducted by NOAA and partnering institutions in estuarine and other coastal-ocean areas around the country. A corresponding taxonomic voucher collection of preserved benthic specimens collected in studies conducted between 1991 and 2007 was maintained at the NCCOS Charleston lab until April 2019. The voucher collection was transferred to the North Carolina Museum of Natural Sciences in May 2019 and will be incorporated into their Non-Molluscan Invertebrate research collections. More information can be found at the North Carolina Museum of Natural Sciences website.

  20. g

    AIMS Long-term Monitoring Program Reef Aesthetics

    • gimi9.com
    • researchdata.edu.au
    Updated Jul 2, 2025
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    (2025). AIMS Long-term Monitoring Program Reef Aesthetics [Dataset]. https://gimi9.com/dataset/au_aims-long-term-monitoring-program-reef-aesthetics1/
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    Dataset updated
    Jul 2, 2025
    Description

    Data on the general appearance and condition of coral reefs which have been manta towed in the Long Term Monitoring Project (LTMP). The data from 4 reef zones - front (seaward) and back (leeward), and north and south (flanks 1 and 2) - are used to create a web page on each zone for each reef (http://apps.aims.gov.au/reef-monitoring/). The general condition of the reef is recorded, along with its structural complexity (1 and 2), the percentage of live and bleached coral, the dominant benthic lifeform, and dominant hard coral cover and genus. The general abundance of reef fish and giant clams (Tridacna gigas) is also recorded. To provide a broad overview of the reef environment. Coral Reef - Zone, Lifeform - Benthic, Relative Frequency, Genus. May include some information on coral disease.

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Jeffrey Hausdorff (2016). Long Term Movement Monitoring Database [Dataset]. http://doi.org/10.13026/C2S59C

Long Term Movement Monitoring Database

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9 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jun 20, 2016
Authors
Jeffrey Hausdorff
License

Open Data Commons Attribution License (ODC-By) v1.0https://www.opendatacommons.org/licenses/by/1.0/
License information was derived automatically

Description

The LTMM database contains 3-day 3D accelerometer recordings of 71 elder community residents, used to study gait, stability, and fall risk.

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