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56 results for “Long term data monitoring”
The NO2 monitoring data for "Satellite-based long-term spatiotemporal trends in ambient NO2 concentrations and attributable health burdens in China from 2005 to 2020"
<p>The current dataset is about NO2 monitoring data used in Geohealth manuscript entitled "Satellite-based long-term spatiotemporal trends in ambient NO2 concentrations and attributable health burdens in China from 2005 to 2020". It was collected from the air quality monitoring stations administered by the China National Environmental Monitoring Center. </p>
Data from: Long term monitoring reveals the importance of large, long unburnt areas and smaller fires in moderating mammal declines in fire-prone savanna of northern Australia
<p>Biodiversity loss is often attributable to multiple interacting pressures that are moderated across environmental gradients. These processes contribute to complex responses that are challenging to interpret and understand. Well-designed and well-implemented monitoring can play a vital role in this but is rarely undertaken.</p> <p>Mounting evidence suggests that current fire regimes across savanna ecosystems have contributed to the decline of a range of biota. Hence, contemporary fire regimes are at odds with conservation goals.</p> <p>Using an extensive spatio-temporal monitoring dataset from three large National Parks in northern Australia, we applied generalised linear mixed models to examine: 1) trends in mammal richness and abundance through time and how these vary across environmental gradients such as productivity or landscape position (e.g., terrain ruggedness); and 2) how fire, a potential driver, is moderated by environmental gradients.</p> <p>Across 24-years, major declines in mammal richness and abundance were observed with greater reductions in less rugged and less mesic habitats. Patterns of decline were related to multiple aspects of fire regimes, but not changes in vegetation structure and composition, or the arrival of Cane Toads <em>Rhinella marina</em> and concomitant poisoning of predatory animals during consumption. More pronounced declines occurred in sites that were exposed to larger fires, had less long unburnt (5 years without fire) vegetation, and were more distant from large, long unburnt patches.</p> <p>Relationships between mammal persistence and fire varied among vegetation communities, with the strongest fire effects observed in lowland woodland – relatively drier with few barriers to fire spread – where the availability of long unburnt areas moderated declines more than in other vegetation communities.</p> <p><em>Synthesis and applications</em>. Current fire regimes are contributing to mammal declines in northern Australian savanna. Collectively, our results highlight: 1) the value of long term monitoring, and importance of considering landscape position when assessing faunal responses to landscape-level perturbations like fire; 2) that significant improvements in fire regimes are required to ameliorate mammal declines; and 3) the need to shift management focus from retaining small, short-lived unburnt patches towards preserving relatively large contiguous areas of long unburnt habitat, particularly in less rugged lowland and sandstone woodlands.</p>
Data from: Long-term monitoring data provide evidence of declining species richness in a river valued for biodiversity conservation
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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
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Data from: Long-term environmental monitoring for assessment of change: measurement inconsistencies over time and potential solutions
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Data from: Long term monitoring reveals the importance of large, long unburnt areas and smaller fires in moderating mammal declines in fire-prone savanna of northern Australia
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Data from: Long-term effective population size dynamics of an intensively monitored vertebrate population
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Data from: Long-term genetic monitoring reveals contrasting changes in the genetic composition of newly established populations of the intertidal snail Bembicium vittatum
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Data from: Long term marine biodiversity monitoring in coastal Antarctica: Are fewer rare species recruiting?
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Weather Data, 1940-2016, 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
These datasets include information collected from 1940 to 2016 in or around Huntington Wildlife Forest at the Adirondack Ecological Center in Newcomb, New York. Data were collected daily and include minimum and maximum daily temperature, precipitation, snowfall, and sometimes additional measurements (e.g., wind direction, weather events). These data were collected as part of the Adirondack Long Term Ecological Monitoring Program (ALTEMP).
Long-term water quality monitoring data of Shenzhen Bay
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Data from: Long-term monitoring dataset of fish assemblages impinged at nuclear power plants in northern Taiwan
The long-term species diversity patterns in marine fish communities are garnering increasing attention from ecologists and conservation biologists. However, current databases on quantitative abundance information lack consistent long-term time series, which are particularly important in exploring the possible underlying mechanism of community changes and evaluating the effectiveness of biodiversity conservation measures. Here we describe an impinged fish assemblage dataset containing 1, 283, 707 individuals from 439 taxa. Once a month over 19 years (1987–1990 and 2000–2014), we systematically collected the fish killed by impingement upon cooling water intake screens at two nuclear power plants on the northern coast of Taiwan. Because impingement surveys have low sampling errors and can be carried out over many years, they serve as an ideal sampling tool for monitoring how fish diversity and community structure vary over an extended period of time.
REal-time Data Monitoring for Shared Adaptive, Multi-domain and Personalised Prediction and Decision Making for Long-term Pulmonary Care Ecosystems (RE-SAMPLE)
ClinicalTrials.gov study NCT04955080. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Sharing Digital Self-Monitoring Data With Others to Enhance Long-Term Weight Loss
ClinicalTrials.gov study NCT05180448. IPD Sharing: NO. Countries: 1. Publications: 0.
Data from: Impacts of white-nose syndrome observed during long-term monitoring of a midwestern bat community
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Data from: Long-term monitoring dataset of fish assemblages impinged at nuclear power plants in northern Taiwan
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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.
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.