Find research datasets worth reusing

opencc-by-4.0Sep 2023View details →

Data underlying the publication: "CAR36, a regional high-resolution ocean forecasting system for improving drift and beaching of Sargassum in the Caribbean Archipelago."

CAR36 datasetThese data correspond to the 1-year (2019) simulation from the regional ocean system CAR36. These daily hindcasts have been used in the study presented in the paper submitted in GMD editor and entitled:  "CAR36, a regional high-resolution ocean forecasting system for improving drift and beaching of Sargassum in the Caribbean Archipelago", where the CAR36 system is fully described. The uploaded files are in netcdf format:<ul><li>CAR36_daily_SSH_20190102-20191224.nc = 1-year daily hindcasts of Sea Surface Height </li><li>CAR36_daily_SST_20190102-20191224.nc = 1-year daily hindcasts of Sea Surface Temperature</li><li>CAR36_daily_SSU_20190102-20191224.nc = 1-year daily hindcasts of Sea Surface Current Speed (zonal component)</li><li>CAR36_daily_SSV_20190102-20191224.nc = 1-year daily hindcasts of Sea Surface Current Speed (meridian component)</li></ul>All data are projected on the native model tripolar ORCA grid in 1/36° horizontal resolution.NB: In order to filter (in a 1st order) the semi-diurnal tidal signal (with a period of 12h30), the daily mean corresponds to a 25h-average. CAR36 softwareThe NEMO_CAR36.tar file gathers the NEMO code configuration of the CAR36 model. This code follows the same license than NEMO one : CeCILL. A file named "License_CeCILL.txt" reminds the details of this license in the NEMO_CAR36.tar file. NB.: This model have been renamed CAR36 (English acronym) for the paper instead of ARCAN36 (French initial acronym). In the provided NEMO code, the name ARCAN36 is still used.

opencc-by-4.0Dec 2023View details →

Air-sea CO2 equibration timescales for Bach et al. 'Testing the climate intervention potential of ocean afforestation using the Great Atlantic Sargassum Belt''

Data for the timescales of CO2 equilibration in the Great Atlantic Sargassum Belt from Fig. 3a and 3c of Bach et al. 2021 'Testing the climate intervention potential of ocean afforestation using the Great Atlantic Sargassum Belt'. The data includes two files. The first file, tco2tres.nc, contains the 2-dimensional mapped 1 degree latitude x l degree longitude annual mean air-sea CO2 equilibration timescale (Tco2) in months (from Figure 3a) and the annual mean ratio of the CO2 equilibration timescale to the surface residence time (Tco2/Tres) (from Figure 3c).  The second file, tco2_seasonal.nc, contains the seasonal mean CO2 equilibration timescales, from Supplementary Figure 5.

opencc-by-4.0Apr 2024View details →

Changes in holopelagic Sargassum spp. biomass composition across an unusual year - supporting particle data and analysis source code

As specified in 'Data, Materials, and Software Availability' of Tonon et al. (2024), PNAS, Vol. 121, e2312173121, https://doi.org/10.1073/pnas.2312173121, the following data and software are provided: Particle forward tracking (statistical data – for Fig. 2) Particle backward tracking (primary data – for Fig. 3) Analysis of primary data for gridded particle fractional coverage and mean age (Fortran source code)

opencc-by-4.0Aug 2024View details →

FTIR-ATR Spectra of Pelagic Sargassum Specimens under Different Flash-Freeze Timing and Cryogenic Storage Conditions

About the data set origin The dataset comprises ATR-FTIR spectral CSV files of pelagic Sargassum specimens, including S. fluitans III (labeled "flu3" in the sample ID), S. natans I (labeled "nat1"), and S. natans VII (labeled "nat8"). The specimens were collected from three sites on the south Mexican Caribbean coast: Mahahual (labeled "Ma"), Xcalak (labeled "Xk"), and Xahuayxol (labeled "Xa"). The experimental design includes a treatment condition based on the timing of flash-freezing: the fresh group (labeled d00) and the lab group (labeled d01). The fresh group was flash-frozen on the shore and stored under cryogenic conditions, while the lab samples were flash-frozen upon arrival at the laboratory facilities. The sample IDs are listed in Table 1. About the Equipment and Data Acquisition All ATR-FTIR analyses were conducted using a Nicolet iS5 from Thermo Scientific (USA), equipped with an iD7 accessory and a ZnSe crystal plate. The Thermo Scientific OMNIC software was used for the analysis. Background noise was removed from all spectra. The spectral acquisition range spanned from 500 to 4000 cm⁻¹, with 32 scans per sample and a spectral resolution of 4 cm⁻¹, resulting in a data spacing of 0.482 cm⁻¹. Each sample was analyzed in triplicate. Table 1. Sample ID and size for the flash-freeze comparison dataset <table> <tbody> <tr> <td> Site </td> <td> Morphotype </td> <td> Flash-freeze treatment </td> <td> Samples collected </td> <td> Samples read in triplicate </td> </tr> <tr> <td>Mahahual (Ma)</td> <td>S. fluitans III (flu3)</td> <td>Fresh (d00)</td> <td>2</td> <td>6</td> </tr> <tr> <td> </td> <td> </td> <td>Lab (d01)</td> <td>2</td> <td>6</td> </tr> <tr> <td> </td> <td>S. natans I (nat1)</td> <td>Fresh (d00)</td> <td>2</td> <td>6</td> </tr> <tr> <td> </td> <td> </td> <td>Lab (d01)</td> <td>2</td> <td>6</td> </tr> <tr> <td> </td> <td>S. natans VIII (nat8)</td> <td>Fresh (d00)</td> <td>2</td> <td>6</td> </tr> <tr> <td> </td> <td> </td> <td>Lab (d01)</td> <td>2</td> <td>6</td> </tr> <tr> <td>Xahuayxol (Xa)</td> <td>S. fluitans III (flu3)</td> <td>Fresh (d00)</td> <td>1</td> <td>3</td> </tr> <tr> <td> </td> <td> </td> <td>Lab (d01)</td> <td>2</td> <td>6</td> </tr> <tr> <td> </td> <td>S. natans I (nat1)</td> <td>Fresh (d00)</td> <td>1</td> <td>3</td> </tr> <tr> <td> </td> <td> </td> <td>Lab (d01)</td> <td>2</td> <td>6</td> </tr> <tr> <td> </td> <td>S. natans VIII (nat8)</td> <td>Fresh (d00)</td> <td>1</td> <td>3</td> </tr> <tr> <td> </td> <td> </td> <td>Lab (d01)</td> <td>2</td> <td>6</td> </tr> <tr> <td>Xcalak (Xk)</td> <td>S. fluitans III (flu3)</td> <td>Fresh (d00)</td> <td>1</td> <td>3</td> </tr> <tr> <td> </td> <td> </td> <td>Lab (d01)</td> <td>2</td> <td>6</td> </tr> <tr> <td> </td> <td>S. natans I (nat1)</td> <td>Fresh (d00)</td> <td>1</td> <td>3</td> </tr> <tr> <td> </td> <td> </td> <td>Lab (d01)</td> <td>2</td> <td>6</td> </tr> <tr> <td> </td> <td>S. natans VIII (nat8)</td> <td>Fresh (d00)</td> <td>1</td> <td>3</td> </tr> <tr> <td> </td> <td> </td> <td>Lab (d01)</td> <td>2</td> <td>6</td> </tr> <tr> <td> </td> <td> </td> <td>Total </td> <td>30</td> <td>90</td> </tr> </tbody> </table>

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Data from: A late Pleistocene marine glacial refugium in the south-west of Hainan Island, China: Phylogeographical insights from the brown alga Sargassum polycystum

Aim: Hainan Island, southern China, is characterized by rich diversity and endemism of marine organisms, yet the underpinning mechanisms and processes contributing to speciation and diversification are poorly understood. Here, the brown alga Sargassum polycystum is used as a model to identify putative marine glacial refugia and explore biogeographical patterns driven by climate change in the late Pleistocene ice ages. Location: South-East Asia. Methods: Mitochondrial cox1 and cox3 and nuclear internal transcribed spacer-2 (ITS2) were obtained from 310, 325 and 313 individuals of S. polycystum (23 localities), respectively. Phylogenetic trees (maximum likelihood and Bayesian inference) and haplotype/ribotype networks were constructed to elucidate phylogeographical patterns. Analysis of molecular variance (AMOVA), neutrality tests (Tajima's D and Fu & Li's D*), current (θπ) and historical (θw) genetic diversities and extended Bayesian skyline plots (EBSP) were used to estimate historical demography. Results: The populations from the south-west of Hainan Island harboured much higher genetic diversity and unique endemism in comparison with other populations in the distribution range. Sargassum polycystum experienced relatively long-term stable population size followed by a continued period of demographic expansion in the late Pleistocene. Main conclusions: Our phylogeographical evidence revealed the existence of a previously unidentified marine refugium specific to S. polycystum in the south-west of Hainan Island, China (the Central Depression of the Yinggehai Basin), along with a possible secondary refugium around the Bali Island, Indonesia. These biogeographical findings provide important insights regarding speciation, adaptation and evolution of marine organisms in South-East Asia and the conservation of unique biodiversity under climate change.

opencc-zeroDec 2016View details →

opencc-by-4.0Dec 2022View details →

Sargassum sp extract improve Hematological profile of Tilapia fish (Oreochromis niloticus)

Strategies to increase body resistance and prevent disease in cultivation include using vaccines, antibiotics, and probiotics. Today, the use of antibiotics with natural ingredients is becoming a trend. One of the natural ingredients that contain high antioxidants and antibiotics is Sargassum sp. This research was conducted from March to May 2022 at the Biotechnology Laboratory, Faculty of Fisheries and Marine, Universitas Riau. This research was conducted in two stages, namely 1) the sensitivity of extracts of Sargassum sp. and 2) the application of Sargassum sp. extract orally in tilapia (O. niloticus). The results showed that the extract of Sargassum sp. was able to inhibit the growth of Aeromonas hydrophila bacteria with a clear zone of 6.5-15.0 mm, which is classified as resistant. At doses of 2000, 2500, and 3000 ppm, it did not cause death in fish for 96 hours (LD50). Hematological parameters can be a sign of the health status of fish. Tilapia given to the addition of Sargassum sp. with different doses gave an effect between treatments, both after 30 days of rearing and post-test against A.hydrophila bacteria (p<0.05). The results showed that the hematology of fish fed with Sargassum sp. extract was in the normal or healthy range. Healthy tilapia had erythrocyte counts ranging from 1.34-2.11 x106 cells/mm3, hematocrit 26.17-33.19%, hemoglobin 6.26-11.2 g/dL and total leukocytes 1.01-1.50 x104 cells/mm3 and total erythrocytes 5.88-9.13x104 cells/ mm3. A dose of 3000 ppm provided the highest health improvement against A.hydrophila bacterial infection

opencc-by-4.0Apr 2023View details →

A review of epibiont hydrozoans on Sargassum

This database collects the information of hydroid epibionts of Sargassum records worldwide since 1802 to 2020. This database is part of the article titled "A review of epibiont hydrozoans on Sargassum", authored by Cecilia Odette Carral-Murrieta, Antonio C. Marques, Elisa Serviere-Zaragoza, Mariae C. Estrada-González, Amanda F. Cunha, Marina Oliveira Fernandez, Alejandra Mazariegos-Villarreal, Karla León-Cisneros, Juan Manuel López-Vivas, José Agüero, María A. Mendoza-Becerril. <pre> </pre>

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Data from: A late Pleistocene marine glacial refugium in the south-west of Hainan Island, China: Phylogeographical insights from the brown alga Sargassum polycystum

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publicDec 2017View details →

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Equatorial upwelling of phosphorus drives Atlantic N2 fixation and Sargassum blooms

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publicSep 2025View details →

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Santa Barbara Coastal site, station Arroyo Quemado Reef, Santa Barbara Channel, study of plant cover of Sargassum muticum in units of percent on a yearly timescale

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Santa Barbara Coastal (SBC) contains plant cover of Sargassum muticum measurements in percent units and were aggregated to a yearly timescale.

openOpenJan 2020View details →

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Data from: A genome-wide investigation of the worldwide invader Sargassum muticum shows high success albeit (almost) no genetic diversity

Twenty-years of genetic studies of marine invaders have shown that successful invaders are often characterized by native and introduced populations displaying similar levels of genetic diversity. This pattern is presumably due to high propagule pressure and repeated introductions. The opposite pattern is reported in this study of the brown seaweed, Sargassum muticum, an emblematic species for circumglobal invasions. Albeit demonstrating polymorphism in the native range, microsatellites failed to detect any genetic variation over 1269 individuals sampled from 46 locations over the Pacific-Atlantic introduction range. Single-Nucleotide Polymorphisms (SNPs) obtained from ddRAD-sequencing revealed some genetic variation, but confirmed severe founder events in both the Pacific and Atlantic introduction ranges. Our study thus exemplifies the need for extreme caution in interpreting neutral genetic diversity as a proxy for invasive potential. Our results confirm a previously hypothesized trans-oceanic secondary introduction from NE Pacific to Europe. However, the SNPs panel unexpectedly revealed two additional distinct genetic origins of introductions. Also, conversely to scenarios based on historical records, southern rather than northern NE Pacific populations could have seeded most of the European populations. Finally, the most recently introduced populations showed the lowest selfing rates, suggesting higher levels of recombination might be beneficial at the early stage of the introduction process (i.e., facilitating evolutionary novelties), whereas uniparental reproduction might be favored later in sustainably established populations (i.e., sustaining local adaptation).

opencc-zeroJun 2019View details →

opencc-by-4.0Oct 2023View details →

Inclusion of macroalgae Sargassum on diets for Southern Black drum

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opennotspecifiedDec 2022View details →

FIGURA 3 in Pérdida de sedimento asociada a la retirada de depósitos de Sargassum spp. en las playas del Caribe

FIGURA 3. Mapa antiguo del mar de los Sargazos realizado en 1891 por el oceanógrafo Dr.Otto Krümmel. Old map of the Sargasso Sea made in 1891 by the oceanographer Dr.Otto Krümmel.

opencc-by-4.0Oct 2019View details →

Historical biogeography of the widespread macroalga Sargassum (Fucales, Phaeophyceae)

Datasets and supplementary material

FIGURE 4 in Molecular analysis of Sargassum from the northern China seas

FIGURE 4. Sargassum vachellianum collected from different regions, showing morphologies of holdfast and main stem, blades, vesicles, receptacles. A. Qingdao, Shandong. B. Rizhao, Shandong. C. Qingdao, Shandong, floating individual. D. Nanji Islands, Zhejiang. E. Nan'ao Island, Guangdong. F. Shenzhen, Guangdong.

FIGURE 5 in Molecular analysis of Sargassum from the northern China seas

FIGURE 5. Phylogenetic tree using Maximum likelihood (ML) and Bayesian inferences (BI) based on concatenated ITS-2 and cox3 sequences. Node numbers indicate bootstrap support (ML/BI). The well-supported clade in red consists of specimens previously identified as S. vachellianum, S. shandongense (specimens referring to Fig.4. A–B) and S. qingdaoense (specimen referring to Fig.4. C). BA = Boao, Hainan; BS = Basuo, Hainan; DS = Dongshan, Fujian; QD = Qingdao, Shandong; FC = Fangchenggang, Guangxi; GQ = Gouqi Island, Zhejiang; JP = Japan; NA = Nan'ao Island, Guangdong; NH = Nanhuangcheng Island, Shandong; NJ = Nanji Islands, Zhejiang; RC = Rongcheng, Shandong; RZ = Rizhao, Shandong; SZ = Shenzhen, Guangdong; SS = Shengsi Islands, Zhejiang; ZP = Zhangpu, Fujian; ZZ = Zhangzi Island, Liaoning.

FIGURE 3 in Molecular analysis of Sargassum from the northern China seas

FIGURE 3. Sargassum vachellianum collected from different regions. All scale bars = 5 cm. A. Qingdao, Shandong, floating individual. B. Qingdao, Shandong. C. Rizhao, Shandong. D. Nanji Islands, Zhejiang. E. Nan'ao Island, Guangdong. F. Shenzhen, Guangdong. G. Fangchenggang, Guangxi. H. Boao, Hainan. I. Type specimen of S. shandongense. J. Type specimen of S. qingdaoense. K. Sketch of type specimen of S. vachellianum (in Greville 1848).

FIGURE 2 in Molecular analysis of Sargassum from the northern China seas

FIGURE 2. Sargassum species collected from the Yellow Sea and East China Sea. All scale bars = 5 cm. A. S. confusum. B. S. fusiforme. C. S. hemiphyllum var. chinense. D. S. horneri, young individual. E. S. horneri, mature individual. F. S. muticum. G. S. siliquastrum. H. S. thunbergii.