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430 results for “meadow”
Large oaks Quercus robur have increased at Tumhem's oak meadow
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Potential distribution of seagrass meadows based on MaxEnt model in Chinese coastal waters
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The distant Microbial communities in Tibetan alpine meadow based on Geochip 4.0
GEO Series GSE52425. uncultured bacterium; Bacteria. 63 samples. Type: Genome variation profiling by array.
Figure 7 from: Chodacki J, Habermann T, Hendricks G, Kaiser K, Kemp J, Meadows A, Paglione L, Pentz E, Ratner H, Reeves P, Schneider J, Stacey S, Urberg M (2020) Metadata 2020 Workathon Proceedings - Sept 2019. Research Ideas and Outcomes 6: e52878. https://doi.org/10.3897/rio.6.e52878
Figure 7 Culminating Output: Online Resource.
Figure 5 from: Chodacki J, Habermann T, Hendricks G, Kaiser K, Kemp J, Meadows A, Paglione L, Pentz E, Ratner H, Reeves P, Schneider J, Stacey S, Urberg M (2020) Metadata 2020 Workathon Proceedings - Sept 2019. Research Ideas and Outcomes 6: e52878. https://doi.org/10.3897/rio.6.e52878
Figure 5 Culminating Output: Data Warehouse.
Figure 4 from: Chodacki J, Habermann T, Hendricks G, Kaiser K, Kemp J, Meadows A, Paglione L, Pentz E, Ratner H, Reeves P, Schneider J, Stacey S, Urberg M (2020) Metadata 2020 Workathon Proceedings - Sept 2019. Research Ideas and Outcomes 6: e52878. https://doi.org/10.3897/rio.6.e52878
Figure 4 Culminating Output: Collaboration with CSE/EASE.
Figure 3 from: Chodacki J, Habermann T, Hendricks G, Kaiser K, Kemp J, Meadows A, Paglione L, Pentz E, Ratner H, Reeves P, Schneider J, Stacey S, Urberg M (2020) Metadata 2020 Workathon Proceedings - Sept 2019. Research Ideas and Outcomes 6: e52878. https://doi.org/10.3897/rio.6.e52878
Figure 3 Culminating Output: Pilot/ Portfolio of Experiments.
Figure 2 from: Chodacki J, Habermann T, Hendricks G, Kaiser K, Kemp J, Meadows A, Paglione L, Pentz E, Ratner H, Reeves P, Schneider J, Stacey S, Urberg M (2020) Metadata 2020 Workathon Proceedings - Sept 2019. Research Ideas and Outcomes 6: e52878. https://doi.org/10.3897/rio.6.e52878
Figure 2 Culminating Output: Advocacy Campaign.
Figure 6 from: Chodacki J, Habermann T, Hendricks G, Kaiser K, Kemp J, Meadows A, Paglione L, Pentz E, Ratner H, Reeves P, Schneider J, Stacey S, Urberg M (2020) Metadata 2020 Workathon Proceedings - Sept 2019. Research Ideas and Outcomes 6: e52878. https://doi.org/10.3897/rio.6.e52878
Figure 6 Culminating Output: Education Materials.
Figure 1 from: Chodacki J, Habermann T, Hendricks G, Kaiser K, Kemp J, Meadows A, Paglione L, Pentz E, Ratner H, Reeves P, Schneider J, Stacey S, Urberg M (2020) Metadata 2020 Workathon Proceedings - Sept 2019. Research Ideas and Outcomes 6: e52878. https://doi.org/10.3897/rio.6.e52878
Figure 1 Pepper, the meeting kitty.
Data from: Temperature mediated responses of carbon fluxes to precipitation variabilities in an alpine meadow ecosystem on the Tibetan Plateau
Effects of climate warming and changing precipitation on ecosystem carbon fluxes have been intensively studied. However, how they co-regulate carbon fluxes is still elusive for some under-studied ecosystems. To fill the gap, we examined net ecosystem productivity (NEP), gross ecosystem productivity (GEP) and ecosystem respiration (ER) responses to multi-level of temperature increments (control, warming 1, warming 2, warming 3, warming 4) in three contrasting hydrological growing seasons in a typical semiarid alpine meadow. We found that carbon fluxes responded to precipitation variations more strongly in low-level warming treatments than in high-level ones. The distinct responses were attributable to different soil water conditions and community composition under low-level and high-level warming during the three growing seasons. In addition, carbon fluxes were much more sensitive to decreased than to increased precipitation in low-level warming treatments, but not in high-level ones. At a regional scale, this negative asymmetry was further corroborated. This study reveals that future precipitation changes, particularly decreased precipitation would induce significant change in carbon fluxes, and the effect magnitude is regulated by climate warming size.
Data from: The effects of warming and nitrogen addition on ecosystem respiration in a Tibetan alpine meadow: the significance of winter warming
Global warming has become an indisputable fact on the Tibetan Plateau in the last decades. Alpine ecosystems are very sensitive to global warming, while the impact may depend on the degree of atmospheric nitrogen (N) deposition. Previous studies paid more attention on year-round warming, while the effects of winter warming was still lacking. In this paper, a manipulative experiment consisted of warming and N addition was carried out in an alpine meadow since 2010, and three types of warming treatments were set up: no-warming (NW), year-round (YW) and winter warming (WW). Warming significantly increased air and soil temperature, but decreased soil moisture. YW significantly decreased ecosystem respiration (Reco) in 2012, and WW decreased Reco under no N addition in 2014, while neither YW nor WW had significant effects on Reco under N addition, indicating that N addition compensated the negative effect of warming on Reco. Annually, YW and WW decreased total carbon (C) emissions, and the decrease extent was even larger under winter warming. Both YW and WW significantly decreased aboveground biomass under no N addition. YW significantly decreased soil inorganic N, and WW decreased it in 2013 and 2014 under no N, and WW decreased soil microbial biomass C. Structure Equation Modelling showed that soil moisture was the most important factors regulating Reco, and soil inorganic N content and microbial biomass C can explain 46.6% and 16.8% variations of Reco. The findings indicate that soil properties changes under warming had substantially effects on ecosystem C efflux in this alpine meadow. Inhibitory effects of winter warming on ecosystem C efflux were mainly attributed to the decline of soil N and soil microbial biomass, thus the effects of winter warming on ecosystem C emission are not so serious as expected and largely depend on N deposition in this semi-arid alpine meadow.
Data from: Nitrogen controls the net primary production of an alpine Kobresia meadow in the northern Qinghai-Tibet Plateau
Net primary production (NPP) is a fundamental property of natural ecosystems. Understanding the temporal variations of NPP could provide new insights into the responses of communities to environmental factors, whilst also contributing to a better assessment of regional carbon storage. However, few studies based on long-term field biomass measurements have directly addressed this subject in the unique environment of the Qinghai-Tibet plateau (QTP). we examined the interannual variations of NPP during 2008-2015 by monitoring both aboveground net primary productivity (ANPP) and belowground net primary productivity (BNPP), and identified their relationships with environmental factors by adopted the general linear model (GLM)and structural equation model (SEM). In addition, the interannual variation of root turnover and its controls were also investigated. The results show that the ANPP and BNPP increased by rates of 15.01 g/m2 and 143.09 g/m2 per year during 2008-2015, respectively. BNPP was mainly affected by growing season air temperature (GST) and growing season precipitation (GSP) rather than mean annual air temperature (MAT) or mean annual precipitation (MAP), while ANPP was only controlled by GST. In addition, available nitrogen (AN) was significant positively associated with BNPP and ANPP. Root turnover rate averaged 30% /yr, increased with soil depth, and was largely controlled by GST. Our results suggest that alpine Kobresia meadow was an N-limited ecosystem, the NPP on the QTP might increase further in the future in the context of global warming and nitrogen deposition.
Plant litter influences the temporal stability of plant community biomass in an alpine meadow by altering the stability and asynchrony of plant functional groups
<p>The stability of a plant community is defined as its ability to resist and be resilient to changes. Plant community stability can be driven by a range of external perturbations as well as by plant community traits. Plant litter traits (species or mass) are widely recognized drivers for plant community composition and diversity changes in grasslands. Yet, the effects of litter traits on the temporal stability of plant communities in natural grasslands are largely unknown. </p> <p>In this study, a field experiment was conducted at an alpine meadow on the Qinghai Tibetan Plateau to quantify the effects of litter from <i>Elymus nutans</i>, <i>Kobresia setchwanensis</i> and <i>Ligularia virgaurea</i> on the temporal stability of plant community biomass at five different mass levels (0, 100, 200, 400 and 600 g m<sup>−2</sup>). The experiment was conducted over the period from the pre-growth to peak–growth stage between 2017 and 2019, during which temporal stability of plant community biomass was assessed in relation to plant community characteristics.</p> <p>The effects of litter on temporal stability of plant community biomass were mainly driven by the litter mass rather than the litter species. A hump-shaped relationship between litter mass and temporal stability of plant community biomass was found, with the highest stability under intermediate litter mass treatment (200 g m<sup>−2</sup>). A structural equation model identified this response was driven by the indirect effects of litter mass on the temporal stability of the biomass of the dominant (forbs) and subdominant (grasses) functional groups in the community and the asynchrony of plant functional groups.</p> <p>The results of this study demonstrate that plant litter traits are important drivers for maintaining plant community stability in natural grasslands, highlighting the importance of grassland management decisions (e.g., grazing intensity) relating to the quantity and quality of litter accumulation. </p>
RouteRideCheck_711-Downtown Station To Eastwood Meadows_Spring 2023
<p>This data set contains ride check data for Route 711 for March, 2023. The ride check data set contains fields for Stop ID, Stop Name, Stop Seq ID, Day of Week, Date, Arrive, Passenger On, Passenger Off, Passenger Load, Passenger Miles, Interstop Distance, Bus, Lat., Long. The data set was requested from and given by the Regional Transit System of Gainesville, Florida.</p>
The MEADOW PROJECT (Mending the Effects of Alcohol and Depression on Women) and The Bridge Program (Connecting Recovery Treatment and Behavioral Health)
ClinicalTrials.gov study NCT00851669. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Data from: Moderate grazing promotes the root biomass in Kobresia meadow on the northern Qinghai-Tibet Plateau
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Data from: Root responses to domestication, precipitation and silicification: weeping meadow grass simplifies and alters toughness
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Data from: Temperature mediated responses of carbon fluxes to precipitation variabilities in an alpine meadow ecosystem on the Tibetan Plateau
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Foliar fungal pathogens along an elevation gradient in Tibetan alpine meadow
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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.