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.
1,071
datasets available to search
ShareScore release 0.9.0
Dataset results
1,071 results for “Mangroves”
Figure 3 in Animal diversity in the mangrove forest at Bichitrapur of Balasore district, Odisha, India- A case study
Figure 3. Sea anemone Diadumene lineata on the mangrove trunk.
Figure 8 in Animal diversity in the mangrove forest at Bichitrapur of Balasore district, Odisha, India- A case study
Figure 8. Sphaeroma terebrans and its juveniles colonize in wooden holes.
Fig 1 in Bivalve Spat (Anadara granosa) recruitment in rehabilitation mangrove ecosystem of Rangsang Island, Riau province
Fig 1: Map of research location in Rangsang Island, Riau
Fig 2 in Studies on gonad index and fecundity of mangrove clam, Polymesoda erosa (Solander, 1786) of Ratnagiri coast
Fig 2: Effect of temperature on gonad index of p. erosa
Fig. 5 in A new genus and three new species of mangrove slugs from the Indo-West Pacific (Mollusca: Gastropoda: Euthyneura: Onchidiidae)
Fig. 5. Diagram that helps to visualize the data on pairwise genetic distances between COI sequences within and between mitochondrial units in Paromoionchis gen. nov. (see Table 3). Ranges of minimum to maximum distances are indicated (in percentages). For instance, within P. tumidus (Semper, 1880) unit #1, individual sequences are between 0 and 3.2% divergent; individual sequences between P. tumidus unit #1 and the other units are minimally 5% and maximally 8.4% divergent; overall, the distance gap between P. tumidus unit #1 and the eight other units is between 3.2 and 5%. The colors used for each unit are the same as those used in Figs 1–4 and 6.
Fig. 4. Maximum parsimony consensus tree within Paromoionchis gen. nov., performed with ITS2 DNA sequences from 80 in A new genus and three new species of mangrove slugs from the Indo-West Pacific (Mollusca: Gastropoda: Euthyneura: Onchidiidae)
Fig. 4. Maximum parsimony consensus tree within Paromoionchis gen. nov., performed with ITS2 DNA sequences from 80 individuals (including 7 outgroups). Numbers by the branches are the bootstrap values (only numbers> 50% are indicated). Numbers for each individual correspond to unique identifiers for DNA extraction. All sequences for specimens of Paromoionchis gen. nov. are new. Information on specimens can be found in the lists of material examined and in Table 1. The letter A corresponds to a clade referred to in the text. The color used for each (mitochondrial) unit is the same as that used in Figs 1–3 and 5–6.
Fig. 3. Maximum parsimony consensus tree within Paromoionchis gen. nov., performed with concatenated ITS2 and 28S DNA sequences from 41 in A new genus and three new species of mangrove slugs from the Indo-West Pacific (Mollusca: Gastropoda: Euthyneura: Onchidiidae)
Fig. 3. Maximum parsimony consensus tree within Paromoionchis gen. nov., performed with concatenated ITS2 and 28S DNA sequences from 41 individuals (including 7 outgroups). Numbers by the branches are the bootstrap values (only numbers> 50% are indicated). Numbers for each individual correspond to unique identifiers for DNA extraction. All sequences for specimens of Paromoionchis gen. nov. are new. Information on specimens can be found in the lists of material examined and in Table 1. Letters A and B correspond to clades referred to in the text. The color used for each (mitochondrial) unit is the same as that used in Figs 1–2 and 4–6.
Fig. 1 in Species turnover between the northern and southern part of the South China Sea in the Elaphropeza Macquart mangrove fly communities of Hong Kong and Singapore (Insecta: Diptera: Hybotidae)
Fig. 1. Distribution of the Malaise traps around Hong Kong (map by C. Taylor and U. Chang).
Fig. 1 in Alpheid Shrimps From The Mangroves And Mudflats Of Singapore. Part I. Genera Salmoneus, Athanas And Potamalpheops, With The Description Of Two New Species (Crustacea: Decapoda: Caridea)
Fig. 1. Salmoneus singaporensis, new species, holotype, probably male, habitus. Scale: 1 mm.
Fig. 8. Athanas polymorphus Kemp, male I in Alpheid Shrimps From The Mangroves And Mudflats Of Singapore. Part I. Genera Salmoneus, Athanas And Potamalpheops, With The Description Of Two New Species (Crustacea: Decapoda: Caridea)
Fig. 8. Athanas polymorphus Kemp, male I from Sungei Buloh (ZRC 2003.0085), habitus. Scale: 1 mm.
Figure 2 in Are mangroves important for reef fish on Mayotte Island (Indian Ocean)?
Figure 2. – Relative abundance of adults and juveniles of fishes in different mangrove habitats.
Fig. 1 in Description of Scoloplos maranhensis sp. nov. (Orbiniidae, Annelida) from tropical Brazilian mangrove
Fig. 1. Type locality of Scoloplos maranhensis sp. nov., Quebra Pote Mangrove, Maranhão, Brazil.
Mapping Soil Organic Carbon in the World's Largest Arid Mangrove Forest (Indus Delta, Pakistan): A Multi-Sensor Remote Sensing and Machine Learning Approach
<p>Mangrove forests play a crucial role in carbon sequestration, especially in arid regions where their ability to store carbon in soil is vital for mitigating climate change. The Indus Delta in Pakistan, the world’s largest arid mangrove forest system, lacks spatially explicit data on Soil Organic Carbon (SOC) despite its importance for conservation and carbon budgeting. This study aims to establish a baseline SOC map 2020 at 10 m spatial resolution using Sentinel-1 (Synthetic Aperture Radar) and Sentinel-2 (MultiSpectral Instrument) satellite imagery, integrated with in-situ soil sampling. SOC predictions were made using a Classification and Regression Tree (CART) machine learning model within the Google Earth Engine platform, leveraging 40 predictor variables, including spectral bands and derived indices. A total of 53 topsoil (0-10 cm) samples were collected in February 2020 across the Indus Delta, and SOC was analyzed using the Walkley-Black method. The results showed an average SOC value of 65.88 Mg C ha⁻¹ with substantial spatial variability, ranging from 15.06 Mg C ha⁻¹ to 138.03 Mg C ha⁻¹ with a total of 0.91 Pg C. The CART model demonstrated high accuracy, with an R² of 0.95 and an RMSE of 9.18 Mg C ha⁻¹. However, the region faces challenges such as seawater intrusion and salinity, which threaten its ability to sequester carbon. With the first high-resolution SOC map for the Indus Delta, this study provides valuable insights for ecosystem management, conservation planning, and carbon budgeting. These findings of this study have the potential to significantly influence initiatives like REDD+ and Blue Carbon projects, which aim to enhance carbon sequestration while addressing the ecological challenges facing Pakistan’s mangroves</p>
A dataset including 2-year eddy covariance and hyperspectral data at Yunxiao mangrove flux tower
<p>A dataset including 2-year eddy covariance and hyperspectral data at Yunxiao mangrove flux tower. The data is used for producing key findings in a manuscript under review.</p>
Fig 1 in Studies on gonad index and fecundity of mangrove clam, Polymesoda erosa (Solander, 1786) of Ratnagiri coast
Fig 1: Approximate number of mature oocytes
Table 1 in Studies on gonad index and fecundity of mangrove clam, Polymesoda erosa (Solander, 1786) of Ratnagiri coast
<p><b>Table 1:</b> Effect of temperature on gonad index of male and female of p. erosa</p><table><tbody><tr><th></th><th></th><th>Treatment</th><th></th><th></th></tr></tbody><tbody><tr><th>Parameters</th><td>T 0 (Control)</td><td>T 1</td><td>T 2</td><td>T 3</td></tr><tr><th>GI Male</th><td>1.11±0.63 a</td><td>2.18±0.59 b</td><td>3.14±0.14 c</td><td>3.31±0.26 c</td></tr><tr><th>GI Female</th><td>0.67±0.10 a</td><td>2.01±0.22 b</td><td>2.87±0.30 c</td><td>2.65±0.27 c</td></tr></tbody></table>
MangroveDB: A comprehensive online database for mangroves based on multi-omics data
<p><span>Mangroves are dominant flora of intertidal zones along tropical and subtropical coastline around the world that offer important ecological and economic value. Recently, the genomes of mangroves have been decoded, and massive omics data were generated and deposited in the public databases. Reanalysis of multi-omics data can provide new biological insights excluded in the original studies. However, the requirements for computational resource and lack of bioinformatics skill for experimental researchers limit the effective use of the original data. To fill this gap, we uniformly processed 942 transcriptome data, 386 whole-genome sequencing data, and provided 13 reference genomes and 40 reference transcriptomes for 53 mangroves. Finally, we built an interactive web-based database platform MangroveDB (https://github.com/Jasonxu0109/MangroveDB), which was designed to provide comprehensive gene expression datasets to </span><span>facilitate their exploration</span><span> and equipped with several online analysis tools, including principal components analysis, differential gene expression analysis, tissue-specific gene expression analysis, GO and KEGG enrichment analysis. MangroveDB not only provides query functions about genes annotation, but also supports some useful visualization functions for analysis results, such as volcano plot, heatmap, dotplot, PCA plot, bubble plot, population structure <em>etc</em>. In conclusion, MangroveDB is a valuable resource for the mangroves research community to efficiently use the massive public omics datasets.</span></p>
Figure 4 in Comparative population biology of Uca rapax (Smith, 1870) (Brachyura, Ocypodidae) from two subtropical mangrove habitats on the Brazilian coast
Figure 4. Uca rapax. Monthly size–frequency distributions for the Ubatumirim population.
Figure 3 in Comparative population biology of Uca rapax (Smith, 1870) (Brachyura, Ocypodidae) from two subtropical mangrove habitats on the Brazilian coast
Figure 3. Uca rapax. Monthly size–frequency distributions for the Itamambuca population.
Fig. 13 in NGS-barcodes, haplotype networks combined to external morphology help to identify new species in the mangrove genus Ngirhaphium Evenhuis & Grootaert, 2002 (Diptera: Dolichopodidae: Rhaphiinae) in Southeast Asia
Fig. 13. Distribution map of Ngirhaphium in Southeast Asia
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.