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

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.

There are 37 sites in the LTMN project, each having 50 permanent vegetation monitoring plots and 5 permanent soils monitoring plots. For the soils plots, the 5 no. 20m x 20m squares are marked with a point in each corner. Attribution statement: © Natural England copyright and/or database right 2023. All rights reserved.

There are thirty seven sites in the LTMN project, each having fifty permanent vegetation monitoring plots and five permanent soils monitoring plots. For the soils plots, the five 20m x 20m squares are marked with a point in each corner.These points have been collected using GPS, often high-accuracy GPS, by the LTMN team and for some sites, contractors employed by LTMN. We are providing two datasets, one for the vegetation monitoring plots and the other for the soils plots, which would be ideally separate layers or possibly combined into one layer - but if the latter the vegetation and soils must have different symbology. This points data is kept by the LTMN team, for all sites and survey years, and is updated each time a site has a vegetation or soils survey. Nowadays the points co-ordinates do not change much, as they have been mostly captured with high-accuracy GPS, and we will only occasionally need to update these two layers.Attribute Descriptions: Column Heading Full Name Format Description

LTMN_site_name LTMN_site_name Text Name of the LTMN site

Plot_corner_label Plot_corner_label Text Label for the soils plot corner

Soils_plot_no Soils_plot_no Text Soils plot number

Vegetation_plot_no Vegetation_plot_no Text Associated vegetation plot number

Easting Easting Long integers Easting of soils plot corner

Northing Northing Long integers Northing of soils plot corner

Grid_reference Grid_reference Text Grid reference of soils plot corner

Latitude Latitude Double Latitude of soils plot corner

Longitude Longitude Double Longitude of soils plot corner Full metadata can be viewed on data.gov.uk

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.

This dataset is part of the long term monitoring program of ILVO at some fixed locations in the Belgian Part of the North Sea. This dataset contains the data of 2001 to 2021. This dataset will be updated with the flow of the ongoing monitoring.

Long-term freshwater quality monitoring data for over 10 sites in the Pacific Coastal Basin for the past 15 years or longer for nutrients, metals, major ions, and other physical-chemical variables are included in this dataset. Monitoring is conducted by Environment and Climate Change Canada (ECCC) and under the Canada-British Columbia Water Quality Monitoring Agreement to assess water quality status and long-term trends, detect emerging issues, establish water quality guidelines and track the effectiveness of remedial measures and regulatory decisions. Supplemental Information http://www.ec.gc.ca/eaudouce-freshwater/default.asp?lang=En&n=50947E1B-1

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.

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

On the shores of the Northeast Pacific Coast, research programs have monitored the rocky intertidal zone for multiple decades across thousands of kilometers, ranking among the longest-term and largest-scale ecological monitoring programs in the world. These programs have produced powerful datasets using simple field methods, and many are now capitalizing on modern field-sampling technology and computing power to collect and analyze biological information at increasing scale and resolution. Considering its depth, breadth, and cutting-edge nature, this research field provides an excellent case study for examining the design and implementation of long-term, large-scale ecological monitoring. I curated literature and interviewed 25 practitioners to describe, in detail, the methods employed in 37 community-level surveys by 18 long-term monitoring programs on the Northeast Pacific Coast, from Baja California, México, to Alaska, United States of America. I then characterized trade-offs between survey design components, identified key strengths and limitations, and provided recommendations for best practices. In doing so, I identified data gaps and research priorities for sustaining and improving this important work. This analysis is timely, especially considering the threat that climate change and other anthropogenic stressors present to the persistence of rocky intertidal communities. More generally, this review provides insight that can benefit long-term monitoring within other ecosystems.

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].

This dataset contains vegetation survey data collected on Burnham Beeches 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].

Epibenthos and demersal fish monitoring at long-term monitoring stations from 2004 until 2021, but monitoring is still ongoing.

This dataset contains vegetation data collected on Finglandrigg Wood 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.

Botanic gardens hold large, documented, and accessible collections of living plants. These represent unique subsets of taxa from different biogeographical regions growing under common environmental conditions, connecting people to global plant research and conservation efforts while offering a place beneficial for human health and wellbeing. Despite Botanic Gardens being an ideal setting for climate change research, their potential for comparative, long-term studies and outreach in the field is still underutilised. As part of its ten-year strategy, Trinity College Botanic Garden (TCBG) aims to tap this potential and establish a programme for long-term (>30 years) monitoring of key physiological performances in its living woody plant collection. The programme will also assess particulate pollution (PM10 and PM2.5) interception by the same trees, pairing climate change and urban green research. Importantly, the project will include the design of a transferable protocol, produce vouchered herbarium specimens as a future historical archive and as a pedagogical tool, and support the garden outreach strategy, so as to nurture its link with both Trinity College Dublin and local communities, ensuring the garden’s legacy into the future.

The Arctic Basin where suggested future long-term monitoring of trawl-megafauna should capture possible changes along the flow of the Arctic Circumpolar Boundary Current (Figure A, blue line) and the Arctic deep-water exchange (Figure b, green line). Adapted from Bluhm et al. (2015).

STATE OF THE ARCTIC MARINE BIODIVERSITY REPORT - Chapter 3 - Page 88 - Figure 3.3.1

Oceanographic measurements from the IOPAN long-term large-scale multidisciplinary Arctic monitoring program AREX. CTD/LADCP/VMADCP measurements collected by IOPAN from RV Oceania during the annually repeated large-scale surveys in June-July, covering the regular station grid in the eastern Nordic Seas, Fram Strait and the southern Nansen Basin (10-15 standard sections within 70-81°N and 0-22°E). Duration: 1988 - ongoing (annually repeated summer survey of 2 month duration). Measurements on the regularly repeated grid of sections/stations collected since 1997.

ARMS-MBON is a network of more than 25 partners who deploy Autonomous Reef Monitoring Structures (ARMS) settlement units in the vicinity of marine stations and Long-term Ecological Research sites in European coastal waters and Ant/arctica. After a few months the units are brought up, and visual, photographic, and genetic assessments are made of the lifeforms that settled on them. The collected data are published (see the related datasets and GitHub links listed in this record) and the omics data analysed.

In this record we include the outputs of our analysis of the ITS data from 2018-2020. The analysis used the PEMA bioinformatics software, and the resulting taxonomics inventory has been submitted as DwCA to EurOBIS. In addition, all the PEMA inputs and outputs can be found on the ARMS-MBON GitHub site (see links in this record), and the subset of the sampling data to which these COI results are linked can also be found on the ARMS-MBON GitHub site.

Location data for long term vegetation monitoring plots

This dataset is a compilation of lake monitoring efforts across time at the Itasca Biological Station and Laboratories. The first records date back to 1905, and coverage is intermittent throughout 1900's and into the 2000's. Measurements were recorded by several instructors and station staff across several lakes in the Itasca, MN region. At each sampling site, weather conditions, water clarity (via Secchi disk), and depth-specific measurements of temperature, dissolved oxygen, and photosynthetically active radiation were recorded.