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.
180
datasets available to search
ShareScore release 0.9.0
Dataset results
180 results for “Macroalgae”
CS2 - Offshore macroalgae cultivation socio-economic assessment in the Faroe Islands 2022
<p>The dataset contains a socio-economic analysis based on the operation of a macroalgae farm in the Faroe Islands. The production system used in the Faroe Islands has the potential to operate offshore, increased production volumes of biomass and allow for the growth of the macroalgae industry in the Atlantic. The socio-economic calculations include employment generation, gross value added and ripple effects of macroalgae production, at two scenarios of scaled up production, first the sustainable farm size and to the maximum exploitation capacity in the Faroes coastline.</p>
Data for: Prevalent fingerprint of marine macroalgae in Arctic surface sediments
<p>Macroalgal forests export much of their production, partly supporting food webs and carbon stocks beyond their habitat, but evidence of their contribution in sediment carbon stocks is poor. We test the hypothesis that macroalgae contribute to carbon stocks in arctic marine sediments. We used environmental DNA (eDNA) fingerprinting on a large-scale set of surface sediment samples from Greenland and Svalbard. We evaluated eDNA results by comparing with traditional survey and tracer methods. The eDNA-based survey identified macroalgae in 94% of the sediment samples covering shallow nearshore areas to 1,460 m depth and 350 km offshore, with highest sequence abundance nearshore and with dominance of brown macroalgae. Overall, the eDNA results reflected the potential source communities of macroalgae and eelgrass assessed by traditional surveys, with the most abundant orders being common among different methods. A stable isotope analysis showed a considerable contribution from macroalgae in sediments although with high uncertainty, highlighting eDNA as a great improvement and supplement for documenting macroalgae as a contributor to sediment carbon stocks. Conclusively, we provide evidence for a prevalent contribution of macroalgal forests in arctic surface sediments, nearshore as well as offshore, identifying brown algae as main contributors.</p>
Dataset macroalgae market study Brazil_Aquavitae
<p>Dataset with information on macroalgae market study in Brazil, as part of the Deliverable No. 5.3 of Aquavitae Project</p>
Data from: A multifaceted ecological assessment reveals the invasion of the freshwater red macroalga Montagnia macrospora (Batrachospermales, Rhodophyta) in Taiwan
Open the record for dataset details and reuse information.
Data for: Prevalent fingerprint of marine macroalgae in Arctic surface sediments
Open the record for dataset details and reuse information.
Negative parental and offspring environmental effects of macroalgae on coral recruitment are linked with alterations in the coral larval microbiome
Open the record for dataset details and reuse information.
Benthic Chlorophyll and Macroalgae on an Experimentally-manipulated Tidal Flat on the Virginia Coast, 2016-2017
In 2016 a Before-After-Control-Impact experimental design was used to test if the removal of macroalgae from a heavily vegetated mudflat would result in an increase in MPB biomass (Smith 2002). Data Table 1 (BCL_BACIexpa.csv):Benthic chlorophyll samples collected from mudflat where experimental macroalgal removal was conducted. Samples collected haphazardly from 3500 m^2 plots. Sediment cores were 1 cm inner diameter and 2 cm deep. Data Table 2 (BCL_MAMPBa.csv):Survey data where macroalgal mats were sampled and sediment beneath mats sampled for benthic chlorophyll. This data table contains benthic chlorophyll data. Corresponding macroalgal mass data found in MAmass_MAMPBa.csv. Sediment cores were 1 cm inner diameter and 2 cm deep. Three subsamples taken (A,B,C). Data Table 3 (MAmass_MAMPBa.csv): Survey data where macroalgal mats were sampled and sediment beneath mats sampled for benthic chlorophyll. This data table contains macroalgal mass data. Corresponding chlorophyll data found in BCL_MAMPBa.csv
Data from: Nutrients influence the thermal ecophysiology of an intertidal macroalga: multiple stressors or multiple drivers?
Urbanization of coastlines is leading to increased introduction of nutrients from the terrestrial environment to nearshore habitats. While such nutrient influxes can be detrimental to coastal marine organisms due to increased eutrophication and subsequent reduced oxygen, they could also have positive effects (i.e., increased food availability) on species that are nitrogen-limited such as macroalgae. Nutrient enrichment in this environment thus has the potential to counteract some of the negative impacts of increasing temperatures, at least for some species. Characterizing the physiological response of organisms to simultaneous changes in multiple drivers such as these is an important first step in predicting how global climate change may lead to ecological responses at more local levels. We evaluated how nutrient enrichment (i.e., nitrogen availability) affected the growth of Fucus vesiculosus, a foundational macroalgal species in the North Atlantic rocky intertidal zone, and found that nutrient-enriched algal blades showed a significant increase in tissue growth compared to individuals grown under ambient conditions. We further quantified net photosynthesis by ambient and nutrient-enriched tissues at saturating irradiance over a range of temperature conditions (5°-30°C). Respiration was unaffected by nutrient treatment; however, there was a significant increase in photosynthetic oxygen production for nutrient-enriched tissue compared to ambient, but only at elevated temperatures. This study contributes to a growing body of literature showing the complexity of responses to changes in multiple drivers, and highlights the importance of studying the impacts of global climate change within the context of more local environmental conditions.
Data from: Projected loss of brown macroalgae and seagrasses with global environmental change
<p>Data associated with the paper "Projected loss of brown macroalgae and seagrasses with global environmental change" by Federica Manca, Lisandro Benedetti-Cecchi, Corey J. A. Bradshaw, Mar Cabeza, Camilla Gustafsson, Alf M. Norkko, Tomas V. Roslin, David N. Thomas, Lydia White, Giovanni Strona</p>
Invasive macroalgae shape chemical and microbial waterscapes on coral reefs
<p><span>Over the past decades, human impacts have changed the structure of tropical benthic reef communities <a name="_Hlk166256162"></a>towards coral depletion and macroalgal proliferation. However, how these changes have modified chemical and microbial waterscapes is poorly known. Here, we assessed how the experimental removal of macroalgal assemblages influences the chemical and microbial composition of two reef boundary layers, the benthic and the momentum<em>. </em>Chemical and microbial waterscapes were spatially structured, both horizontally and vertically, according to macroalgal dominance and boundary layers. Microbes associated with reef degradation were enriched in the boundary layers surrounding macroalgal-dominated substrata. Dominant macroalgae were surrounded by a distinct chemical pool of diverse lipid classes (e.g., diterpenoids and glycerolipids) and labile organic matter (e.g., organooxygen compounds), which diffused from algal tissues to boundary layers according to their polarity. Finally, our results highlighted strong co-variations between specific algal-derived metabolites and planktonic microbes, giving insight into their roles in coral reef functioning and resilience. </span></p>
Navigating uncertainty in environmental DNA detection of a nuisance marine macroalga
<p>Early detection of nuisance species is crucial for the conservation and management of threatened ecosystems, reducing the risk of widespread establishment. Environmental DNA (eDNA) data can increase the sensitivity of biomonitoring programs, oftentimes with minimal cost and effort. However, eDNA analyses have inherent errors that can complicate the integration of molecular survey methods into existing management frameworks. Therefore, it is crucial for eDNA studies to consider imperfect detections and estimate error rates accordingly. Detecting nuisance species in low abundance with minimal uncertainty is vital to increase the chance of containment and eradication. We developed a novel eDNA assay to detect a nuisance marine macroalga across its colonization front using surface seawater samples from Papahānaumokuākea Marine National Monument (PMNM), one of the world's largest marine reserves. <em>Chondria tumulosa</em>, a cryptogenic red alga with invasive characteristics, has been documented forming dense mats that overgrow coral reefs and smother native flora and fauna in PMNM. We verified the eDNA assay using site-occupancy detection modeling from quantification polymerase chain reaction (qPCR) data, calibrated with visual estimates of benthic cover of <em>C. tumulosa </em>that ranged from < 1% to 95%. Results were subsequently validated with high-throughput sequencing of amplified eDNA and negative control samples. Overall, the probability of detecting <em>C. tumulosa </em>at occupied sites was at least 92% when multiple qPCR replicates were positive. Modeled false-positive inferences were 3% or less and false-negative errors were 11% or less. The developed assay is suitable for routine monitoring at shallow sites (less than 10 m), even when <em>C. tumulosa </em>abundance was less than 1%. Successful implementation of eDNA tools in conservation decision-making relies on balancing uncertainties in both visual and molecular detection methods. Our results and modeling demonstrated the assay's sensitivity to <em>C. tumulosa</em>, and we outline the necessary steps to infer ecological presence-absence from molecular detection data. By providing a reliable, cost-effective tool for detecting low-abundance species, eDNA analyses have the potential to enhance the surveillance of nuisance species and inform timely management interventions.</p>
Fig 1 in Nutritional content of marine macroalgae (Seaweeds) from Kanyakumari coastal district, Tamil Nadu, India
Fig 1: Photographs of marine macro algae (sea weeds).
Dataset - Growth of the Macroalgae Ulva lactuca Cultivated at Different Depths in a Biofloc Integrated System with Shrimp and Fish
<p>Dataset with experimental results</p>
Data from: Amelioration of ocean acidification and warming effects through physiological buffering of a macroalgae
<p>Concurrent anthropogenic global climate change and ocean acidification is expected to have a negative impact on calcifying marine organisms. While knowledge of biological responses of organisms to oceanic stress has emerged from single species experiments, these do not capture ecologically relevant scenarios where the potential for multi-organism physiological interactions is assessed. Marine algae provide an interesting case study, as their photosynthetic activity elevates pH in the surrounding microenvironment, potentially buffering more acidic conditions for associated epiphytes. We present findings that indicate increased tolerance of an important epiphytic foraminifera, <em>Marginopora vertebralis</em>, to the effects of increased temperature (±3 °C) and pCO<sub>2</sub> (~1000 µatm) when associated with its common algal host, <em>Laurencia intricata</em>. Specimens of <em>M. vertebralis </em>were incubated for 15 days in flow-through aquaria simulating current and end-of-century temperature and pH conditions. Physiological measures of growth (change in wet weight), calcification (measured change in total alkalinity in closed bottles), photochemical efficiency (<em>Fv/Fm</em>), total chlorophyll, photosynthesis (oxygen flux), and respiration, were determined. When incubated in isolation, <em>M. vertebralis </em>exhibited reduced growth in end-of-century projections of ocean acidification conditions, while calcification rates were lowest in the high-temperature, low-pH treatment. Interestingly, association with<em> L. intricata</em> ameliorated these stress effects with the growth and calcification rates of<em> M. vertebralis </em>being similar to those observed in ambient conditions. Total chlorophyll levels in <em>M. vertebralis</em> decreased when in association with <em>L. intricata</em>, while maximum photochemical efficiency increased in ambient conditions. Net production estimates remained similar between <em>M. vertebralis </em>in isolation and in association with <em>L. intricata</em>, although both production and respiration rates of<em> M. vertebralis</em> were significantly higher when associated with <em>L. intricata</em>. These results indicate that the association with <em>L. intricata</em> increases the resilience of <em>M. vertebralis</em> to stress, providing one of the first examples of physiological buffering by a marine alga that can ameliorate the negative effects of changing ocean conditions.</p>
Press versus pulse nutrient supply and species interactions mediate growth of coral reef macroalgae
<p>Globally, ecosystems are experiencing dramatic alterations in the supply of resources, including nutrients. How the temporal regime (press versus pulse), independent of total resource supply, affects growth and species interactions of primary producers remains unexplored. Coral reefs experience anthropogenic modifications to nutrient regimes, making it critical to understand impacts on primary producers, such as macroalgae. In mesocosms, we examined how three macroalgae respond to the temporal pattern in nutrient regime (ambient, press, pulse) and species interactions (alone, pairwise, or all together) in terms of their individual growth and assemblage productivity. We found nutrient regime and species interactions influenced individual growth and total assemblage productivity. Press regimes promoted the highest productivity of total assemblages. We observed species interactions ranging from competitive to facilitative varied between macroalgal species and nutrient regimes. Ours is the first study to demonstrate the temporal regime of nutrient delivery, independent of total nutrient supply, strongly impacts the productivity of species assemblages, the nature and outcome of species interactions, and the relative growth rates of individual producer species. As nutrient regimes increasingly fluctuate for coastal marine ecosystems in the Anthropocene, our findings imply macroalgal community composition may also fluctuate. More broadly, our study highlights the importance of assessing primary producer species' responses to varying nutrient regimes to understand factors structuring their communities.</p>
Epiphytic common core bacteria in the microbiomes of co-located green (Ulva), brown (Saccharina, Gelidium) and red (Grateloupia) macroalgae
<p>We collected specimens of <em>Ulva </em>sp. (green algae), <em>Saccharina </em>sp. (brown algae), <em>Grateloupia </em>sp., and <em>Gelidium </em>sp. (both red algae) during all four seasons from a coastal reef in Weihai, China, and analyzed their surface-colonizing bacteria in comparison to surrounding seawater and sediment controls. 16S rRNA amplicon sequencing, extensive plate cultivation, sequencing of selected strains, and sequencing of 23 metagenomes were performed in this study. Besides composition, we analyzed the potential of phycosphere bacteria to degrade algal polysaccharides and to produce bioactive secondary metabolites. This comprehensive dataset represents a significant stepping stone towards a better understanding of macroalgal phycosphere bacteria and paves the way to functional studies on representative strains.</p>
Data for effects of multiple drivers of environmental change on native and invasive macroalgae in nearshore groundwater dependent ecosystems
<p><strong><em>Okuhata, B.K., Delevaux, J.M.S., Richards Donà, A., Smith, C.M., Gibson, V.L., Dulai, H., El-Kadi, A.I., Stamoulis, K., Burnett, K.M., Wada, C.A., Bremer, L.L., Effects of multiple drivers of environmental change on native and invasive macroalgae in nearshore groundwater dependent ecosystems</em></strong></p> <p>Environmental change scenarios, with a spatial extent of the Keauhou basal aquifer (Hawai‘i), were produced using a recharge coverage from Engott (2011), land use coverages from the State of Hawai‘i (2022) and National Oceanic and Atmospheric Administration (2006); climate change calculations based on Elison Timm et al. (2015), and native forest conversion calculations from Bremer et al. (2021). Scenarios were developed based on the following assumptions:</p> <p>Scenario 0 (Baseline) assumes current land use, groundwater recharge, and groundwater withdrawal rates (National Oceanic and Atmospheric Administration, 2006; State of Hawai‘i, 2022; Engott, 2011; Commission on Water Resource Management, unpublished data, 2018). Please see Okuhata et al. (2021) for more details regarding the scenario assumptions for the baseline groundwater model.</p> <p>Scenario 1 (Climate Change) assumes current land use, but with Representative Concentration Pathway (RCP) 8.5 mid-century rainfall projections (Elison Timm et al., 2015), where rainfall and recharge calculations were based on estimates from Giambelluca et al. (2013) and Engott (2011). </p> <p>Scenario 2 (Urban Development) assumes RCP 8.5 mid-century rainfall conditions along with future permitted development, which includes an increase in water demand (Fukunaga & Associates, Inc., 2017). </p> <p>Scenario 3 (Native Forest Conversion + Urban Development) assumes RCP 8.5 mid-century rainfall conditions and future permitted development, along with the assumption that native forests are not protected and converted to non-native forests (Bremer et al., 2021), therefore altering recharge estimates (Wada et al., 2017; Engott, 2011).</p> <p>Please note that scenario numbers listed in the groundwater model and marine water quality model shapefiles may differ from the manuscript scenario numbers. The following table assigns the scenario numbers to their respective scenarios in the manuscript, groundwater model, and marine water quality model.</p> <table> <tbody> <tr> <td> <p><strong>Scenario Name</strong></p> </td> <td> <p><strong>Manuscript #</strong></p> </td> <td> <p><strong>Groundwater Model #</strong></p> </td> <td> <p><strong>Marine Water Quality Model #</strong></p> </td> </tr> <tr> <td> <p>Baseline</p> </td> <td> <p>Scenario 0</p> </td> <td> <p>Scenario 1</p> </td> <td> <p>Scenario 0</p> </td> </tr> <tr> <td> <p>Climate Change</p> </td> <td> <p>Scenario 1</p> </td> <td> <p>Scenario 2</p> </td> <td> <p>Scenario 1</p> </td> </tr> <tr> <td> <p>Urban Development</p> </td> <td> <p>Scenario 2</p> </td> <td> <p>Scenario 7</p> </td> <td> <p>Scenario 6</p> </td> </tr> <tr> <td> <p>Native Forest Conversion + Urban Development</p> </td> <td> <p>Scenario 3</p> </td> <td> <p>Scenario 5</p> </td> <td> <p>Scenario 4</p> </td> </tr> </tbody> </table> <p>The groundwater model results are in shapefile format and were produced using the program SEAWAT (Langevin et al., 2008). The spatial extent is the Keauhou basal aquifer, and the projection is NAD 1983 UTM Zone 4N. The two polygon shapefiles represent the first and second layers of the groundwater model, and include groundwater level (meters relative to mean sea level), salinity (parts per thousand), temperature (degrees Celsius), nitrogen (milligrams per liter), and phosphorus (milligrams per liter) results under the assumptions of each scenario. The point shapefile represents the simulated discharge at SGD plumes under the assumptions of each scenario.</p> <p>The marine water quality model results are in floating point TIFF format and were produced using the program R software. The spatial extent is the coastal area of the Keauhou aquifer system, and the geographic coordinate system is WGS 1984. The files include the groundwater discharge (cubic meters per month), salinity (parts per thousand), temperature (degrees Celsius), nitrogen (kilograms per month), and phosphorus (kilograms per month) results under the assumptions of each scenario.</p> <p>The limu model results are in shapefile format and were produced using the program R software. The spatial extent is the coastal area of the Keauhou aquifer system, and the geographic coordinate system is WGS 1984. The files include the increase and decrease in area (hectares) for <em>Ulva lactuca</em> and <em>Hypnea musciformis </em>under the assumptions of each scenario.</p> <p>The limu experiment results are derived from a csv file, which reports the <em>Ulva lactuca</em> and <em>Hypnea musciformis </em>measured weights (initial and final) for each growth run. These were used to calculate the weight difference. Included also in the dataset are the fixed and random effects used in the R script to run the model.</p> <p>Contact Leah Bremer (<a href="mailto:lbremer@hawaii.edu">lbremer@hawaii.edu</a>) or Brytne Okuhata (bokuhata@hawaii.edu) of the University of Hawaiʻi for more information on these files.</p>
Contrasting carbon dioxide removal potential and nutrient feedbacks of simulated ocean alkalinity enhancement and macroalgae afforestation
<p>PISCES model outputs supporting the associated publication.</p> <p>Files are for the following simulations: historical control (CTL), OAE without nutrient addition (OAE), OAE with nutrient addition (OAE_Fe_Si), macroalgae afforestation without nutrient feedbacks (MACRO) and macroalgae afforestation with nutrient feedbacks (MACRO_N_P). The following outputs are provided at monthly resolution: air-sea carbon flux (Cflx), export flux at 100m (EPC100) and depth integrated net primary production of phytoplankton (INTPP). In addition masks of the regions of OAE (mask_OAE) and macroalgae afforestation (mask_MACRO) are provided. All files have been regridded from the original eORCA025 grid to a regular 360x180 degree grid.</p>
Data from: genetic resources of macroalgae: development of an efficient method using microsatellite markers in non-model organisms
<p><span>Red and brown seaweeds are species with high ecological and economic importance. Here we report the feasibility of cost-effective molecular marker development in 6 species from different clades. Microsatellites markers of two brown seaweed species <em>Alaria esculenta</em>, <em>Pylaiella littoralis</em>, and of four red seaweed species <em>Calliblepharis jubata</em>, <em>Gracilaria gracilis</em>, <em>Gracilaria dura </em>and <em>Palmaria palmata</em> were identified and characterized using genomic sequences of Double-Digest Restriction site Associated DNA (ddRAD). A total of 64,623,186 reads were generated from two runs of multiplexed Illumina Miseq sequencing for which 30,636 reads containing microsatellites and 15,443 microsatellite loci with primers pairs were found. Five hundred seventy-six primers pairs were selected for amplification trials and levels of polymorphism. From the 338 that gave a positive amplification, 142 primers pairs were polymorphic. For genetic analyses two or three populations per species from 13 different geographic locations were used. A total of 28 usable polymorphic markers for <em>A. esculenta</em>, 18 for <em>P. littoralis</em>, 11 for <em>C. jubata</em>, 14 for <em>G. gracilis</em>, 21 for <em>G. dura </em>and 13 for <em>P. palmata </em>were developed. The overall number of alleles per locus ranged from 2 to 22. These 105 new microsatellite markers will be useful for further studies of population genetics, breeding programs and conservation genetics of these species. Compared with traditional approaches, our study yielded thousands of microsatellite loci in a short tim</span><span>e with affordable costs in six different species. This study based on ddRAD-sequencing for the development of microsatellite markers provides preliminary data u</span><span>sing a few individuals from two distinct populations on the genetic structure and reproduction mode of a non-model species as shown </span>with the detection of clonality for the two red algae, <em>C. jubata </em>and <em>G. dura</em> and the detection of highly genetically divergent populations corresponding probably to different cryptic species under the name of<em> P. littoralis</em>.</p>
Disruption of host-associated and benthic microbiota affects reproductive output and settlement of a habitat-forming macroalga
Open the record for dataset details and reuse information.
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.