Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
77
datasets available to search
ShareScore release 0.9.0
Dataset results
77 results for “Posidonia”
Microsatellite genotypes for adult and seedlings of the temperate seagrass (ribbon weed), Posidonia australis, from four meadows at Rottnest Island, Western Australia
Open the record for dataset details and reuse information.
Data from: Evaluating growth in Macrospondylus bollensis (Crocodylomorpha: Teleosauroidea) in the Toarcian Posidonia Shale, Germany
Open the record for dataset details and reuse information.
Restoration efforts of the seagrass Posidonia oceanica: a collated evidence review dataset
Open the record for dataset details and reuse information.
Preservational modes of some ichthyosaur soft tissues (Reptilia, Ichthyopterygia) from the Jurassic Posidonia Shale of Germany
Open the record for dataset details and reuse information.
Flowering, seed production, predation and recruitment of Posidonia australis
Open the record for dataset details and reuse information.
Data from: Seagrass on the brink: decline of threatened seagrass Posidonia australis continues following protection
Seagrasses are in decline globally due to sustained pressure from coastal development, water quality declines and the ongoing threat from climate change. The result of this decline has been a loss of coastal productivity, a reduction in critical fisheries habitat and increased erosion. Attempts to slow this decline have included legislative protection of habitat and direct restoration efforts. Monitoring the success of these approaches requires tracking changes in the abundance of seagrasses, but such monitoring is frequently conducted on large scales that lack the sensitivity to detect changes in time. Here, we used high resolution aerial imagery to quantify the change in meadows dominated by Posidonia australis over five years at 14 sites in five estuaries in south-eastern Australia. Australia has some of the world's most diverse and extensive seagrass meadows, but the widely distributed P. australis has a slow growth rate, recovers poorly after disturbance, and suffers runaway attrition if the conditions for recovery are not met. In 2010, after declines of 12-57% between the 1940s and 1980s, P. australis was listed as a threatened ecological community in New South Wales. We quantified changes in area at fine scales and, where loss was observed, describe the general patterns of temporal decline within each meadow. Our results demonstrate that seagrass meadows dominated by P. australis underwent declines of ~ 2-40% total area at our study sites between 2009 and 2014. In the iconic Sydney Harbour, our analyses suggest that P. australis meadows are declining at an average rate greater than 10% yr-1, exceeding the global rate of seagrass decline. Highlighting these alarming declines across the study region should serve as means to prioritise management action and review the effectiveness of legislative listing as a method to limit impacts at an ecosystem level.
Data from: A meta-analysis reveals a positive correlation between genetic diversity metrics and environmental status in the long-lived seagrass Posidonia oceanica
The seagrass Posidonia oceanica is a key engineering species structuring coastal marine systems throughout much of the Mediterranean basin. Its decline is of concern, leading to the search for short- and long-term indicators of seagrass health. Using ArcGIS maps from a recent, high-resolution (1–4 km) modelling study of 18 disturbance factors affecting coastal marine systems across the Mediterranean (Micheli et al. 2013, http://globalmarine.nceas.ucsb.edu/mediterranean/), we tested for correlations with genetic diversity metrics (allelic diversity, genotypic/clonal diversity and heterozygosity) in a meta-analysis of 56 meadows. Contrary to initial predictions, weak but significantly positive correlations were found for commercial shipping, organic pollution (pesticides) and cumulative impact. This counterintuitive finding suggests greater resistance and resilience of individuals with higher genetic and genotypic diversity under disturbance (at least for a time) and/or increased sexual reproduction under an intermediate disturbance model. We interpret the absence of low and medium levels of genetic variation at impacted locations as probable local extinctions of individuals that already exceeded their resistance capacity. Alternatively, high diversity at high-impact sites is likely a temporal artefact, reflecting the mismatch with pre-environmental impact conditions, especially because flowering and sexual recruitment are seldom observed. While genetic diversity metrics are a valuable tool for restoration and mitigation, caution must be exercised in the interpretation of correlative patterns as found in this study, because the exceptional longevity of individuals creates a temporal mismatch that may falsely suggest good meadow health status, while gradual deterioration of allelic diversity might go unnoticed.
Posidonia oceanica meadows (1120) Arkoudi island
<p>This layer has derived from a habitat classification using satellite imagery and ground truthing<br>data, in the context of "Protecting the Inner Ionian Archipelago and Formicula island" project.<br>The project was implemented by iSea and funded by Blue Marine Foundation the mapping was<br>produced in collaboration with terraSolutions mer. More detailed info on the product and appropriate citation can be found here:<br>https://zenodo.org/doi/10.5281/zenodo.12672634</p>
Fig. 5 in Specialized compounds across ontogeny in the seagrass Posidonia oceanica
Fig. 5. Map of the sampling area showing where plant material was collected (Cala Xinxell and Cala Comtesa).
Fig. 4 in Specialized compounds across ontogeny in the seagrass Posidonia oceanica
Fig. 4. Principal Component Analysis. Arrows represent the loading of the variables (table S3). Dots represent the score of each replicate on PC1 and PC2. Number of replicates from all tissues analyzed were 6 for young leaves from non-reproductive plants (L1), old leaves from non-reproductive plants (L3), inflorescences (F), and old leaves from reproductive plants (RL3), 10 replicates for leaves from seedlings (SD); and 5 for young leaves from reproductive plants (RL1). Compounds labelled as 1 (chicoric acid), 2 (caffeoylferuloyltartaric acid), 3 (p-coumaroylcaffeoyltartaric acid), 4 (coutaric acid) and 5 (di-p-coumaroyltartaric acid).
Fig. 3 in Specialized compounds across ontogeny in the seagrass Posidonia oceanica
Fig. 3. Mean content of chemical traits in leaves of seedlings (SD), young leaves (L1), old leaves (L3), inflorescences (F), and rhizomes of reproductive (R) and nonreproductive (N) plants. Compounds in mg chicoric acid equivalents/g DW of plant labelled as 1 (chicoric ac.), 2 (caffeoylferuloyltartaric acid), 3 (p-coumaroylcaffeoyltartaric acid), 4 (coutaric acid) and 5 (di-p-coumaroyltartaric acid). Error bars indicate standard error. Dots represent the value of each replicate (for F, L1, L3 n = 6 for SD n = 10). Mean values and standard errors can be found in Table S1.
Fig. 2 in Specialized compounds across ontogeny in the seagrass Posidonia oceanica
Fig. 2. Representative total ion current (TIC) UPLC-MS chromatogram of extracts of Posidonia oceanica samples. Numbers indicate the compound in each peak, IS indicates internal standard.
Data from: Adaptive responses along a depth and a latitudinal gradient in the endemic seagrass Posidonia oceanica
Open the record for dataset details and reuse information.
Data from: A meta-analysis reveals a positive correlation between genetic diversity metrics and environmental status in the long-lived seagrass Posidonia oceanica
Open the record for dataset details and reuse information.
Data from: Seagrass on the brink: decline of threatened seagrass Posidonia australis continues following protection
Open the record for dataset details and reuse information.
Supplementary material 3 from: Gnisci V, Cognetti de Martiis S, Belmonte A, Micheli C, Piermattei V, Bonamano S, Marcelli M (2020) Assessment of the ecological structure of Posidonia oceanica (L.) Delile on the northern coast of Lazio, Italy (central Tyrrhenian, Mediterranean). Italian Botanist 9: 1-19. https://doi.org/10.3897/italianbotanist.9.46426
: Data type: statistical data
Figure 3 from: Gnisci V, Cognetti de Martiis S, Belmonte A, Micheli C, Piermattei V, Bonamano S, Marcelli M (2020) Assessment of the ecological structure of Posidonia oceanica (L.) Delile on the northern coast of Lazio, Italy (central Tyrrhenian, Mediterranean). Italian Botanist 9: 1-19. https://doi.org/10.3897/italianbotanist.9.46426
Figure 3 Principal Coordinate analyses (PCoA) based on 140 RAPD bands of XX individuals of Posidonia oceanica.
Supplementary material 4 from: Gnisci V, Cognetti de Martiis S, Belmonte A, Micheli C, Piermattei V, Bonamano S, Marcelli M (2020) Assessment of the ecological structure of Posidonia oceanica (L.) Delile on the northern coast of Lazio, Italy (central Tyrrhenian, Mediterranean). Italian Botanist 9: 1-19. https://doi.org/10.3897/italianbotanist.9.46426
: Data type: statistical data
Supplementary material 1 from: Gnisci V, Cognetti de Martiis S, Belmonte A, Micheli C, Piermattei V, Bonamano S, Marcelli M (2020) Assessment of the ecological structure of Posidonia oceanica (L.) Delile on the northern coast of Lazio, Italy (central Tyrrhenian, Mediterranean). Italian Botanist 9: 1-19. https://doi.org/10.3897/italianbotanist.9.46426
: Data type: occurrence
Supplementary material 2 from: Gnisci V, Cognetti de Martiis S, Belmonte A, Micheli C, Piermattei V, Bonamano S, Marcelli M (2020) Assessment of the ecological structure of Posidonia oceanica (L.) Delile on the northern coast of Lazio, Italy (central Tyrrhenian, Mediterranean). Italian Botanist 9: 1-19. https://doi.org/10.3897/italianbotanist.9.46426
: Data type: statistical data
ScienceDex guides
Understand access before you commit
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.