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2,744 results for “Restoration”
PROCRAFT Final Meeting - Choice of restoration or renovation of WWII aircraft paintwork, illustrated by two case studies Bristol Bolingbroke and Messerschmitt 163B Komet by Thilo Bürgel, National Museum of Flight
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Restored off-channel pond habitats create thermal regime diversity and refuges within a Mediterranean-climate watershed
<p>Cool-water habitats provide increasingly vital refuges for cold-water fish living on the margins of their historical ranges; consequently, efforts to enhance or create cool-water habitat are becoming a major focus of river restoration practices. However, the effectiveness of restoration projects for providing thermal refuge and creating diverse temperature regimes at the watershed scale remains unclear. In the Klamath River in Northern California, the Karuk Tribe Fisheries Program, the Mid-Klamath Watershed Council, and the U.S. Forest Service constructed a series of off-channel ponds that recreate floodplain habitat and support juvenile coho salmon (<em>Oncorhynchus kisutch</em>) and steelhead (<em>Oncorhynchus mykiss</em>) along the Klamath River and its tributaries. We instrumented these ponds and applied multivariate auto-regressive time series models of fine-scale temperature data from ponds, tributaries, and the mainstem Klamath River to assess how off-channel ponds contributed to thermal regime diversity and thermal refuge habitat in the Klamath riverscape. Our analysis demonstrated that ponds provide diverse thermal habitats that are significantly cooler than creek or mainstem river habitats, even during severe drought. Wavelet analysis of long-term (10 years) temperature data indicated that thermal buffering (i.e. dampening of diel variation) increased over time but was disrupted by drought conditions in 2021. Our analysis demonstrates that in certain situations, human-made off-channel ponds can increase thermal diversity in modified riverscapes even during drought conditions, potentially benefiting floodplain-dependent cold-water species. Restoration actions that create and maintain thermal regime diversity and thermal refuges will become an essential tool to conserve biodiversity in climate-sensitive watersheds. </p>
Dataset for "Structural complexity and benthic metabolism: resolving the links between carbon cycling and biodiversity in restored seagrass meadows"
<p>This dataset accompanies the article "Structural complexity and benthic metabolism: resolving the links between carbon cycling and biodiversity in restored seagrass meadows" accepted for publication in Biogeosciences (https://doi.org/10.5194/bg-2023-173). The dataset includes benthic fluxes and biodiversity data in from bare sediments, restored <em>Zostera marina</em> and a natural <em>Z. marina</em> meadow collected in Gåsö, Sweden (58.2325, 11.3984) between July 05 - July 20, 2022. </p>
Priority landscapes for tree-based restoration in Rwanda
<p>These priority maps highlight landscapes where the promotion of tree-based restoration practices is expected to yield higher benefits compared to possible interventions in non-priority landscapes. It is important to note that the priority maps created should not be considered as final, but as part of the process in identifying intervention areas for tree planting in Rwanda. Key further steps in prioritization include stakeholder consultations to incorporate their perspecives and field observations to further define the most adequate interventions.</p> <p>For more information on the methodology please consult the following documents: </p> <p>Pedercini, F., Dawson, I.K., Kindt, R., Tadesse, W., Moestrup, S., Abiyu, A., Lillesø, J.P.B., Van Schoubroeck, F., McMullin, S., Carsan, S. and Mausch, K., 2021. Priority landscapes for tree-based restoration in Ethiopia. In <em>ICRAF Working Paper</em>. World Agroforestry Centre. [https://dx.doi.org/10.5716/WP21037.PDF; https://patspo.shinyapps.io/Restoration_Ethiopia/]</p> <p><em>Pedercini, F., Kindt, R., Dawson, I., Lillesø, JPB., Mukuralinda, A., Ndayambaje, J. D., Jamnadass, R.,<br>Graudal, L. (2023). </em>Priority landscapes for tree-based restoration in Rwanda: a spatially explicit approach<br>to prioritize areas for intervention. TREPA report.</p> <p><em>Pedercini, F., Kindt, R., Graudal, L. (2024). </em>Priority landscapes for tree-based restoration in Rwanda: a spatially explicit approach to prioritize areas for intervention. World Bank report.</p>
Original data for the paper "Ericaceous dwarf shrubs in drained forested peatlands: distribution, dynamics and key factors in a restoration experiment"
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Mitigation of urbanisation effects on aquatic ecosystems by synchronous ecological restoration
<p>Ecosystem degradation and biodiversity loss have been caused by economic booms in developing countries over recent decades. In response, ecosystem restoration projects have been advanced in some countries but the effectiveness of different approaches and indicators at large spatio-temporal scales (i.e., whole catchments) remains poorly understood. Our datasets with a diverse array of 440 aquatic restoration projects including wastewater treatment, constructed wetlands, plant/algae salvage, and dredging of contaminated sediments implemented and maintained from 2007 to 2017 across more than 2000km2 of the northwest Taihu basin (Yixing, China). Synchronized investigations of water quality and invertebrate communities were conducted before and after restoration. Our datasets showed that even though there was rapid urbanization at this time, nutrient concentrations (NH<sub>4</sub><sup>+</sup>-N, TN, TP) and biological indices of benthic invertebrates (taxonomic richness, Shannon diversity, sensitive taxon density) improved significantly across most of the study area. Improvements were associated with the type of restoration project, with projects targeting pollution sources leading to the clearest ecosystem responses compared with those remediating pollution sinks. However, in some locations, the recovery of biotic communities appears to lag behind nutrients (e.g. nitrogen and phosphorus), likely reflecting long-distance re-colonization routes for invertebrates given the level of pre-restoration degradation of the catchment.</p>
Figure 5 in Early development of Gongolaria montagnei (Fucales, Phaeophyta) germlings under laboratory conditions, with a view to enhancing restoration potential in the Eastern Mediterranean
Figure 5: Growth of Gongolaria montagnei embryos and germlings during incubation (31 days). Increase in relative growth rates (RGR) was observed in two phases (red lines), from days 8–15 (0.2 day−1) and days 21–31 (0.1 day−1).
Figure 4 in Early development of Gongolaria montagnei (Fucales, Phaeophyta) germlings under laboratory conditions, with a view to enhancing restoration potential in the Eastern Mediterranean
Figure 4: Divisions and developmental stages of Gongolaria montagnei. (A) Zygote after release from the conceptacle. (B) First division. (C) Second, most common, division. (D) Second, rare, division. (E) Development of the rhizoids (arrow). (F) Elongation of the rhizoids. (G) Fertilization membrane (arrow). (H) Hyaline apical hairs. (I) Germling after five weeks of culture. Scale bar = 100 μm.
Figure 2 in Early development of Gongolaria montagnei (Fucales, Phaeophyta) germlings under laboratory conditions, with a view to enhancing restoration potential in the Eastern Mediterranean
Figure 2: Thallus of Gongolaria montagnei during the reproductive period (A, scale bar = 3 cm), mature apical fronds (B, scale bar = 3 cm) and receptacles (C, scale bar = 2 mm).
Figure 1 in Early development of Gongolaria montagnei (Fucales, Phaeophyta) germlings under laboratory conditions, with a view to enhancing restoration potential in the Eastern Mediterranean
Figure 1: Map showing locations (marked with symbols and) where the reproductive phenology of Gongolaria montagnei was followed in sitU from February to May 2021. Mature receptacles were collected at Saronida ().
Figure 3 in Early development of Gongolaria montagnei (Fucales, Phaeophyta) germlings under laboratory conditions, with a view to enhancing restoration potential in the Eastern Mediterranean
Figure 3: Cross section of a receptacle of Gongolaria montagnei, showing antheridia (A) and oogonia (O). Scale bar = 100 μm.
Figure 3 in Fucus vesiculosus adapted to a life in the Baltic Sea: impacts on recruitment, growth, re-establishment and restoration
Figure 3: Boxplot showing number of Fucus vesiculosus juveniles per dm2 surviving from mid-July to early November, 1994 in Askö. Treatments in (A) "Manipulated Fucus" without understorey (diagonal stripes) and "Natural Fucus (control)" with understorey (white) and (B) "Cladophora-covered substratum" (chequered) and "Cleaned substratum" cleared from both Fucus and understorey vegetation (vertical stripes). Note major difference in scales for y-axes in each panel. n = 6 for all treatments. *indicates significant difference in density of juveniles between two treatments at one date (p <0.05). One-way ANOVA of treatments at each date showed a higher number of juveniles in treatments containing Fucus (i.e. Figure 3A) on all dates compared to treatments without Fucus (i.e. Figure 3B; p <0.001).
Figure 1 in Fucus vesiculosus adapted to a life in the Baltic Sea: impacts on recruitment, growth, re-establishment and restoration
Figure 1: Maps showing areas and sites for field experiments presented in this paper. (A) Map of the Baltic Sea showing areas 1–5. (B) Area 1 with Sites A–G outside Trosa town (black) and Area 2 with control Site H near Askö laboratory on Askö island. (C) Area 5 with Sites I–J in Gdansk Bay.
Figure 2 in Fucus vesiculosus adapted to a life in the Baltic Sea: impacts on recruitment, growth, re-establishment and restoration
Figure 2: Fucus vesiculosus increase in size over time during 4 years. Fucus vesiculosus: volume (calculated as a cone from thallus height and circumference) plotted against biomass (g dry weight) with linear regression for (A) 1-year-old, (B) 2-year-old, (C) 3-year-old and (D) 4-year-old thalli grown in the field at Askö during 1991–1994.
Figure 5 in Fucus vesiculosus adapted to a life in the Baltic Sea: impacts on recruitment, growth, re-establishment and restoration
Figure 5: Boxplot showing germination (%) of Fucus vesiculosus zygotes after 7 days of exposure under laboratory conditions to exudates from Cladophora glomerata, Ulva intestinalis, Pylaiella littoralis, Ceramium tenuicorne and Hildenbrandia rubra. All treatments differed (p <0.001) from the control (one way ANOVA). n = 6 for all treatments.
Figure 4 in Fucus vesiculosus adapted to a life in the Baltic Sea: impacts on recruitment, growth, re-establishment and restoration
Figure 4: Boxplot showing number of Fucus vesiculosus juveniles per dm2 on five different types of substratum. (A) Askö, after 5 months, n = 10 except ceramic tile (n = 7) and Hildenbrandia treatment (n = 9). (B) Räfsnäs after 4 months, sample size n = 6. Note major difference in scales for y-axes in each panel. Letters (A–E) above bars show groups that differ significantly (at p = 0.05) within each site according to Tukey HSD post hoc test.
Data for plots in Restoring Adiabatic State Transfer in Time-Modulated Non-Hermitian Systems
<p><span>Data for plots in Restoring Adiabatic State Transfer in Time-Modulated Non-Hermitian Systems (Physical Review Letters 133, 113802 (2024).</span></p> <p><span>The dataset files contain data and python code for plotting panels (c)-(f) of the Fig.4 in the article.</span></p> <p> </p>
River Restoration Units
<p>Database on River Restoration Units (R2U) for European sea outlet basins that contain at least a segment of Strahler value 3 or more. The database covers all sea outlet basins occurring in current and former European Union Member States' territory. Contains three spatial layers; the European basins (Basins_EU.shp), the R2U drainage areas (R2U_ID_drainage_areas.shp) and the R2U watercourses (R2U_Watercourses.shp); and four tables: Member States coding (MS_coding), R2U characterization (R2U_Features), Connection between River Restoration Units ID and Member States ID (R2U_to_MS_ID), and the R2U typology (Unit_typology).</p> <p><strong>Funding:</strong><br>The development of this dataset was funded by MERLIN, a project funded under the European Commission’s Horizon 2020 programme under grant agreement No 101036337. Forest Research Centre (CEF) is a research unit funded by Fundação para a Ciência e a Tecnologia I.P. (FCT), Portugal (UID/00239: Centro de Estudos Florestais). The Associate Laboratory Laboratory for Sustainable Land Use and Ecosystem Services – TERRA is funded by the FCT (LA/P/0092/ 2020). GD has been financed by FCT within the project project Dammed Fish (PTDC/CTA-AMB/4086/2021 – DOI: 10.54499/PTDC/CTA-AMB/4086/2021). AP is currently supported by a postdoctoral research scholarship under the project: mainstreaming ecological restoration of freshwater-related ecosystems in a landscape context. Innovation, upscaling, and transformation (101036337—MERLIN—H2020-LC-GD-2020). TL was supported by a PhD grant from the FLUVIO–River Restoration and Management program funded by Fundação para a Ciência e a Tecnologia I. P. (FCT), Portugal (UI/BD/15052/2021). PB is financed by national funds via FCT (LA/P/0092/2020). AF was funded by the Christian Doppler Research Association (CD Laboratory MERI) as well as FB who was also supported by the AQUAINFRA project (grant agreement No 101094434).</p>
Affective, physiological, and attention restoration at a wooden desk: A pilot study (Datasets and R analysis code)
<p>This entry contains datasets and R processing and analysis code for the article <em>Affective, physiological, and attention restoration at a wooden desk: A pilot study.</em><br> <br> The analysis primarily investigates how people respond to the Mental Arithmetic Task (MAT) in terms of their affective states and physiological arousal, and how their cognitive performance changes between two task administrations. The analysis also checks whether affective, physiological, and cognitive responses differ between settings furnished with or without wood. We base our analysis on self-reported affective states, captured physiological (electrodermal and cardiovascular) activity, and results on the cognitive task (i.e., MAT).</p>
Selection on convergent functional traits drives compositional divergence in a tallgrass prairie restoration experiment
<p>1. Plant biodiversity is often partitioned into taxonomic diversity (species composition and abundance), phylogenetic diversity (breadth of evolutionary lineages) and functional diversity (resource‐use strategies or physical traits). Evaluating the effects and interplay of these dimensions can provide insights into how assembly processes drive compositional changes in plant communities. However, teasing apart the effects of different biodiversity dimensions is challenging in observational studies or retrospective analyses.</p> <p>2. To evaluate how plant phylogenetic and trait history shape community establishment and turnover in restoration of a species‐rich North American tallgrass prairie, we conducted an experiment with 127 species planted in assemblages representing three levels of phylogenetic diversity (PD) and two of functional trait diversity (FD), holding starting species richness (SR) fixed. We tested whether PD and FD of planted assemblages predicted species diversity, compositional turnover and selection on functional traits.</p> <p>3. Rank order of initial functional and phylogenetic diversity levels was maintained throughout the experiment, but neither diversity measure correlated positively with species richness by the end of the experiment. Phylogenetic and taxonomic beta diversity increased among all treatments. This increase in compositional beta diversity was associated with directional selection on phylogenetically dispersed functional traits. A set of functional traits associated with competitiveness in tallgrass prairies predicted species' cover for all survey years: stem dry matter content, leaf dry matter content, vegetative height and rhizomatous growth. Although all plots collectively converged on a similar suite of functional traits, functional beta diversity increased among high‐FD plots.</p> <p>4. <em>Synthesis</em>. Neither higher functional nor phylogenetic diversity maintained higher species richness (SR) over time in our study. Although SR was not maintained, higher levels of PD and FD were. Both types of diversity shaped the rate at which plots changed in composition over time, with high diversity treatment plots increasing in beta diversity. Selection for traits convergent across the tree of life drove phylogenetic and compositional divergence among plots. While optimization of site‐specific functional traits may be most important for maintaining higher SR, our work implies that planting higher initial PD and FD may make grassland restorations more adaptable to site conditions that may be difficult to predict.</p>
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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.