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4,432 results for “Recovery”
Data from: Active restoration accelerates recovery of tropical forest bird assemblages over two decades
<p>Choosing effective methods to restore habitat for the diverse faunal assemblages of tropical forests is hampered by lack of long-term data comparing multiple restoration treatments. We conducted area counts of bird assemblages over 12 years (~5-17 years since restoration) in a blocked experiment with two active planted treatments (tree plantations and applied nucleation) and a passive restoration treatment (natural regeneration) replicated at 11 sites in Costa Rica. We also surveyed six pastures and five remnant forest sites to assess recovery of avian species richness, composition, forest specialists, and range-restricted species in restoration plots relative to degraded and reference systems. Restoration treatments showed increased resemblance of avian assemblages to remnant forest over time. Applied nucleation proved equally effective as plantation, despite a reduced planted area, whereas natural regeneration recovered more slowly. Assemblage-level trends in avian species richness and compositional similarity to reference forest are underpinned by reductions in use by pasture birds and by gradual increases in richness of forest-affiliated species. Because forest-affiliated species tend to have narrower distributions than the open-country species they replace, forest restoration can reduce biotic homogenization at the local scale. Restoration practitioners should consider applied nucleation as an alternative to standard plantations if seeking rapid recovery of bird assemblages. However, the ecological return on investment from natural regeneration increases over a couple of decades. Managers should monitor trends in forest-affiliated and range-restricted species to track the recovery of the full avian assemblages, since coarse metrics like species richness and overall compositional similarity may plateau relatively quickly.</p>
Data from: Local environment and coral composition affect recovery and determine long-term coral responses to recurrent mass mortalities in the Lakshadweep Archipelago
<p>A quarter century after the first global coral bleaching event in 1998, reports differ on the relative importance of anthropogenic influences, local environment and bleaching recurrence in determining the resilience of coral reefs. While life history traits largely determine how corals respond to temperature anomalies, it is unclear if these traits also determine how corals fare over time. From 1998 to 2022, we tracked compositional changes in reefs across the Lakshadweep Archipelago to explore how global El Niño events, and local environment (wave climate and depth) influenced coral responses to repeated mass bleaching. From the 1998 to the 2016 bleaching event, the magnitude of coral mortality reduced overall, particularly at deeper reefs (shallow: -38% to -3%; deep: -18% to -0.45%). Post-bleaching recovery correlated positively with higher wave exposure, linked to the creation of stable structures for coral settlement and survival. Across bleaching phases, recovery was initially slow (6-7 years post-mortality), but, given time, showed a much steeper increase, led by space-occupying genera like <em>Acropora</em>. However, recurring mass bleaching maintained coral cover low (~15% across all sites). These broad trends mask dynamic compositional patterns. Genera such as <em>Porites</em>, <em>Pocillopora</em>, and <em>Favia</em> declined less through time compared to <em>Acanthastrea</em>, <em>Turbinaria</em>, <em>Psammocora</em> and <em>Plesiastrea </em>among others. We identified six community clusters that describe contrasting long-term responses to local and global factors, mediated by depth and wave exposure. Interestingly, genera with different functional traits cluster together indicating that bleaching susceptibility interacts with depth and exposure, creating a spatial mosaic of coral assemblages. These clusters serve as a predictive, site-specific framework to understand the dynamically shifting but declining assemblage of Lakshadweep reefs. While local management could help maintain this changing composition, urgent global action is needed to secure the long-term ecological integrity of tropical reefs.</p>
Recovery of unavailable Requirements Quality Artifacts
<p>We extracted a <a href="http://www.reqfactoront.com/">requirements quality factors ontology</a> from existing requirements quality literature in previous research. This ontology revealed that several artifacts (data sets and tools/implementations) are unavailable, hindering progress in the research domain. In the project based on this replication package, we attempted to recover lost artifacts by requesting authors to disclose their artifacts according to open science principles. This repository contains both the process description, tools for conduction of the recovery, the results, and the evaluation thereof.</p>
Data from: Ecosystem functioning during biodiversity loss and recovery
<p>Anthropogenic biodiversity loss can impair ecosystem functioning. Human activities are often managed with the aim of reversing biodiversity loss and its associated functional impacts. However, it is currently unknown whether biodiversity–ecosystem function (BEF) relationships observed during biodiversity recovery are the same as those observed during biodiversity loss. This will depend on how species extirpation and recolonisation sequences compare and how different species influence ecosystem functioning. Using data from a marine benthic invertebrate community, we modelled how bioturbation potential – a proxy for benthic ecosystem functioning – changes along biodiversity loss and recovery sequences governed by species' sensitivity to physical disturbance and recolonisation capability, respectively. BEF relationships for biodiversity loss and recovery were largely the same despite species extirpation and recolonisation sequences being different. This held true irrespective of whether populations were assumed to exhibit compensatory responses as species were removed or added. These findings suggest that the functional consequences of local biodiversity loss can be reversed by alleviating its drivers, as different species present at comparable levels of species richness during biodiversity loss and recovery phases have similar functional effects. Empirically verifying and determining the generality of our model-based results are potential next steps for future research.</p>
Data from: Natural coral recovery despite negative population growth
<p>Demographic processes that ensure the recovery and resilience of marine populations are critical as climate change sends an increasing proportion on a trajectory of decline. Yet for some populations, recovery potential remains high. We conducted annual monitoring over 9-years (2012–2020) to assess the recovery of coral<em> </em>populations belonging to genus <em>Pocillopora</em>. These populations experienced a catastrophic collapse following a severe typhoon in 2009. From the start of the monitoring period, high initial recruitment led to the establishment of a juvenile population that rapidly transitioned to sexually mature adults, which dominated the population within six years after the disturbance. As a result, coral cover increased from 1.1% to 20.2% during this time. To identify key demographic drivers of recovery and population growth rates (λ), we applied kernel resampled Integral Projection Models (IPMs), constructing eight successive models to examine annual change. IPMs were able to capture reproductive traits as key demographic drivers over the initial 3 years, whilst individual growth was a continuous key demographic driver throughout the entire monitoring period. IPMs further detected a pulse of reproductive output subsequent to two further Category 5 typhoon events during the monitoring period, exemplifying key mechanisms of resilience for coral populations impacted by disturbance. Despite rapid recovery, (i.e., increased coral cover, individual colony growth, low mortality), IPMs estimated predominantly negative values of λ, indicating a declining population. Indeed, whilst λ translates to a change in the number of individuals, the recovery of coral populations can also be driven by an increase in the size of coral surviving colonies. Our results illustrate that accumulating long-term data of historical dynamics and applying IPMs to extract demographic drivers are crucial for future predictions that are based on comprehensive and robust understandings of ecological change. </p>
Fig. 7 in A new caenogastropod from the upper Rhaetian of Lombardy: Palaeobiogeographical history and implications for the Early Jurassic gastropod recovery
Fig. 7. Early Jurassic palaeogeographical distribution of the Zygopleuralike species listed in Table 1. Map simplified from the late Sinemurian map of Dercourt et al. (2000). Abbreviations: 1, Zygopleura vinosimonensis; 2, Melania theodori; 3, Zygopleura subnodosa; 4,Chemnitzia tatia; 5, Chemnitzia polyplecta; 6, Chemnitzia moorei; 7, Chemnitzia veturia; 8, Chemnitzia catacyclus; 9,Chemnitzia appenninica; 10, Chemnitzia paradisi.
Fig. 3 in A new caenogastropod from the upper Rhaetian of Lombardy: Palaeobiogeographical history and implications for the Early Jurassic gastropod recovery
Fig. 3. Zygopleurid? gastropod Ederazyga fanchini gen. et sp. nov.; upper Rhaetian, Villa Edera (Lombardy, northern Italy). A. Holotype MSNVI 042/049, inner mould in apertural (A1), basal (A2), and dorsal (A3) views; external mould in general view (A4), rubber cast of the dorsal view (A5), detail of the apical spire (A6), and detail of the penultimate and last whorls (A7). B. Plaster cast replica of MSNVI 042/049a, inner mould in apertural (B1), basal (B2), and dorsal (B3) views.
Fig. 2 in A new caenogastropod from the upper Rhaetian of Lombardy: Palaeobiogeographical history and implications for the Early Jurassic gastropod recovery
Fig. 2. Comparison between the holotype of zygopleurid? gastropod Cerithium? lateplicatum Klipstein, 1843 and the specimens illustrated by Bandel 1995), here ascribed to a tofanellid Camponaxis bandeli sp. nov.; lower Carnian, eastern Dolomites (Southern Alps, northern Italy). A. Fragmentary type specimen (NHMUK PI OR 35701) of Cerithium? lateplicatum, original illustration from Klipstein (1843: pl. 11: 35). B, C. Camponaxis bandeli sp. nov. B. Holotype, adult shell (RGM 219 039), from Bandel (1995: pl. 14: 5). C. Paratype, juvenile shell (RGM 219 040), from Bandel (1995: pl. 14: 3). Reproduced accordingly to CCBY 4.0 license.
Fig. 5 in A new caenogastropod from the upper Rhaetian of Lombardy: Palaeobiogeographical history and implications for the Early Jurassic gastropod recovery
Fig. 5. Palaeogeographical distribution of Ederazyga during the Late Triassic. Map modified from the late Norian maps of Dercourt et al. (2000) and Barrier and Vrielinck (2008).
Fig. 6 in A new caenogastropod from the upper Rhaetian of Lombardy: Palaeobiogeographical history and implications for the Early Jurassic gastropod recovery
Fig. 6. Original illustrations of the Early Jurassic Zygopleuralike species probably closely related to Ederazyga. A, B. Chemnitzia moorei Gemmellaro, 1878 (pl. 6: 4, 5), Sinemurian, Rocca Busambra (northwestern Sicily, southern Italy). C. Chemnitzia tatia Gemmellaro, 1878 (pl. 6: 1–3), Sinemurian, Rocca Busambra (northwestern Sicily, southern Italy), in apertural view (C1), detail showing the spiral ornament (C2), and dorsal view (C3). D. Chemnitzia polyplecta Gemmellaro, 1878 (pl. 6: 7, 8), Sinemurian, Rocca Busambra (northwestern Sicily, southern Italy), in apertural (D1) and dorsal (D2) views. E. Chemnitzia catacyclus Di Stefano, 1887 (pl. 2: 7b), Sinemurian, Taormina (eastern Sicily, southern Italy). F, G. Specimens figured by Dubar (1948: pl. 7: 11a, 12) as Zygopleura paradisi (Böhm, 1884), lower Pliensbachian (F) and lower Toarcian (G), Djebel BouDahar, (High Atlas, Morocco). H, I. Chemnitzia appenninica Gemmellaro, 1878 (pl. 9: 1, 2), Sinemurian, Rocca Busambra (northwestern Sicily, southern Italy). J. Chemnitzia veturia Gemmellaro, 1878 (pl. 6: 6), Sinemurian, Rocca Busambra (northwestern Sicily, southern Italy). K. Specimen figured by Fucini (1895: pl. 12: 5, 5a) as Zygopleura polyplecta (Gemmellaro, 1878), Sinemurian, Monte Pisano (Tuscany, central Italy). L. Zygopleura subnodosa (d'Orbigny, 1850), holotype figured by Fischer and Weber (1997: pl. 1: 8), upper Pliensbachian, Calvados (northern France), in dorsal (K1) and apertural (K2) views. M, N. Zygopleura vinosimonensis Fischer and Weber, 1997, syntypes figured by Cossmann (1902: pl. 4: 2, 4) as Zygopleura subnodosa, Hettangian, Vendée (western France).
Fig. 4 in A new caenogastropod from the upper Rhaetian of Lombardy: Palaeobiogeographical history and implications for the Early Jurassic gastropod recovery
Fig. 4. Zygopleurid? gastropod Ederazyga lateplicata (Klipstein, 1843); lower Carnian, eastern Dolomites (Southern Alps, northern Italy). A. Holotype NHMUK PI OR 35701, incomplete shell, in apertural (A1), dorsal (A2), and subdorsal (A3) views, detail of the ornament (A4). B. Original labels of the holotype (the label at the top shows an incorrect inventory number). C. Illustration of a specimen classified by Kittl (1894: pl. 4: 28) as Katosira? lateplicata. D. Original illustration of the specimen MRZ3711, ascribed by Zardini (1978: pl. 28: 8a, b) to Katosira seelandica var. alta, incomplete shell, in apertural (D1) and dorsal (D2) views, reproduced with permission Tipografia Ghedina Snc.
Dataset: Procure Disaster Recovery Strategy ETF (FIXT) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Energy Recovery, Inc. (ERII) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: MSP Recovery, Inc. (LIFWW) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: MSP Recovery, Inc. (LIFW) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Fig. 2 in Changing Of Wintering Site Or Recovery Provision - An Analysis Of Ringing Data Of Hungarian Lapwings, Vanellus Vanellus
Fig. 2. Recoveries of Lapwings ringed in Hungary between 1974–2005 and recovered in the Mediterranean area (dots) or in the Atlantic region (squares)
Fig. 1 in Changing Of Wintering Site Or Recovery Provision - An Analysis Of Ringing Data Of Hungarian Lapwings, Vanellus Vanellus
Fig. 1. Recoveries of Lapwings ringed in Hungary between 1909–1932 and recovered in the Mediterranean area (dots) or in the Atlantic region (squares)
Fabrication, Characterization and Evaluation of an Alginate–Lignin Composite for Rare-Earth Elements Recovery
<p>This dataset contains the raw data for the publication "Fabrication, Characterization and Evaluation of an Alginate–Lignin Composite for Rare-Earth Elements Recovery" by Fila et al, published in Materials. The upload includes raw data of physicochemical characterizations of alginate-based composite, i.e. alginate-lignin, including BET, SEM, TG, XPS and XRD analyses. </p>
Collapse and recovery of livestock systems shape fire regimes on the Eurasian steppe: a review of ecosystem and biodiversity implications
<p>This file contains bibliographic data from the literature research; livestock and fire data as well as Google Earth Engine and R-scripts to reproduce all analyses and figures.</p>
Figure 3 in Does silicon help to alleviate water deficit stress and in the recovery of Dipteryx alata seedlings?
Figure 3. Potential quantum efficiency of photosystem II - F V/FM (a and d), absorbed energy conversion efficiency - F V/F (b and e), basal 0 quantum production of non-photochemical processes - F 0 /FM (c), maximum chlorophyll-a fluorescence - FM (f) and initial fluorescence - F 0 (g) in D. alata seedlings produced under different water regimes (I: Irrigated; II: combined intermittent irrigation without and with 0.75 and 1.50 Si) in different evaluation periods (T0: time zero; P0: photosynthesis close to zero; REC: recovery: END: end of evaluations). Capital letters compare water regimes within each assessment period (Tukey; p <0.05); Lowercase letters compare the evaluation periods within each water regime. (Tukey; p <0.05).
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.