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.
4,207
datasets available to search
ShareScore release 0.7.1
Dataset results
4,207 results for “Corals”
MCR LTER: Coral Reef: Long-term Population and Community Dynamics: Other Benthic Invertebrates, ongoing since 2005
The data presented here are the abundances of the major invertebrate herbivores and corallivores on Moorea coral reefs. Abundances are estimated in 4 fixed quadrats along 5 permanent transects at each of 4 habitats at 2 sites on each of the 3 shores of Moorea each year. Counts are made in one-meter-squared quadrats.
MCR LTER: Coral Reef: Long-term Population and Community Dynamics: Benthic Algae and Other Community Components, ongoing since 2005
Coral reefs are comprised of scleractinian corals and many other benthic organims. The sampling described here quantifies the relative abundances of corals (aggregate abundance) and the other major benthic components including algal turfs, macroalgae, crustose corallines, and other sessile invertebrates. Abundance is estimated yearly at each of 6 sites (2 per shore) around the island. At each site, and in each of 4 habitats (fringing reef, backreef, forereef 10-m depth, forereef 17-m depth), 5 permanent 10-m long transects have been established and abundance estimates are made at fixed positions along each transect (n=10, 0.25 m2 quadrats per transect) allowing a repeated measures statistical analysis for the detection of temporal trends.
Visualization and quantification of coral reef soundscapes using CoralSoundExplorer software
<p>Support material for the research paper "Visualization and quantification of coral reef soundscapes using CoralSoundExplorer software"</p>
Historical Sea Surface Temperature (SST) data and thermal stress indices of the Tara Pacific Expedition's coral reef sampling sites, from May 1st 2002 to August 31st 2018.
<p>The Tara Pacific expedition (2016-2018) sampled coral ecosystems at 111 sampling sites around 32 islands in the Pacific Ocean, and sampled the surface of oceanic waters at 249 locations, resulting in the collection of nearly 58,000 samples (Gorsky et al. 2019, Planes et al. 2019, Flores et al. 2020). The expedition was designed to systematically study corals, fish, plankton, and seawater, and included the collection of samples for advanced biogeochemical, molecular, and imaging analysis.</p> <p>Here we provide a high-resolution historical dataset that spans from 2002 to each sites’ sampling date and gives an overview of past climate variability and heatwaves experienced by corals sampled at each site. Ocean skin temperature (11 and 12 µm spectral bands longwave algorithm) was extracted from 1km resolution level-2 MODIS-Aqua and MODIS-Terra from 2002 to the sampling date and from level-2 VIIRS-SNPP from 2012 to the sampling date. Day and night overpasses were used to maximize data recovery. Following recommendations from NASA Ocean Color (OB.DAAC), only SST products of quality 0 and 1 were used. The 9 closest pixels to the sampling sites of each scene were extracted. All the extracted pixels from the 3 satellites were then averaged daily to obtain daily SST averages and standard deviations time series for each sampling site, from 2002 to the sampling date.</p> <p>Each time series was first averaged on a Julian day basis to provide a seasonal average. This yearly seasonal average was triplicated and concatenated into a 3-year seasonal cycle to apply a digital low pass filter on the middle year without generating artifacts. A digital low pass filter (filter order 3, pass band ripple 0.1; “filfilt” function in matlab) with 36 Julian days windows was applied to the concatenated time series to remove high frequency noise. The middle year was then extracted from the concatenated time series to recover the seasonal cycle. The sea surface temperature anomaly was calculated as the SST minus the seasonal cycle over the full time series. Considering the short periods of missing data (mean of the 95th percentile of the duration of consecutive days with missing data: 9.8 ± 4.1 days), the missing values in the SST and SST anomaly time series were linearly interpolated in order to calculate thermal stress indices. The SST anomaly frequency was calculated as the number of days over the past 52 weeks when the SST anomaly is greater than or equal to 1 °C. Thermal stress indices relevant to coral reef health were then calculated using methodology developed for the Coral Reef Temperature Anomaly Database (CoRTAD) data base (Saha et al. 2019). Events of cold temperature accumulation were also reported to cause bleaching and mortality (Lirman et al. 2011; González-Espinosa & Donner 2020), therefore, the same set of indices were calculated for cold stress adapting the CoRTAD method, but using the minimum weekly climatologies.</p> <p>A condensed table containing single values associated with each sampling site was created ('TaraPacific_SST_timeseries_mean_products') extracting the minimum, maximum, sum, averages, standard deviations, and value recorded at the sampling day of each of these indices (detailed in the readme file provided with the dataset 'README_TaraPacific_historical_SST.md'). Additional metrics of the last heating and cooling events as well as the time of recovery is also provided to represent the state of thermal stress at the day of sampling.</p>
Cophylogeny and specificity between cryptic coral species (Pocillopora spp.) at Mo'orea and their symbionts (Symbiodiniaceae)
<p>GENERAL INFORMATION</p> <p>1. Title of Dataset: Cophylogeny and specificity between cryptic coral species (Pocillopora spp.) at Mo'orea and their symbionts (Symbiodiniaceae)</p> <p>2. Author Information<br> A. Principal Investigator Contact Information<br> Name: Scott Burgess<br> Institution: Florida State University<br> Address: 319 Stadium Drive, Tallahassee, FL, USA 32306<br> Email: sburgess@bio.fsu.edu</p> <p><br> 3. Date of data collection (single date, range, approximate date): 2019-08</p> <p>4. Geographic location of data collection: Moorea, French Polynesia</p> <p>5. Information about funding sources that supported the collection of the data: National Science Foundation (NSF; OCE-1829867)</p> <p> </p> <p><br> DATA & FILE OVERVIEW</p> <p>1. File List:<br> Figure 2 Make.R<br> Figure 4 Make.R<br> Figure 5b Make.R<br> Figure 6 Make.R</p> <p>Figure 1 SNAPP species tree.xml<br> Figure 2.txt<br> Figure 2.vcf<br> Figure 3b - Pocillopora mt genomes.nex<br> Figure 4 and 6 data.csv<br> Figure 4 colors.csv<br> Figure 5a - Cladocopium_psbA.nex<br> Figure 5b - Clad clades.csv<br> Figure 5b_Cladocopium.nex<br> Figure 5b_Pocillopora.nex<br> Figure 5b.csv</p> <p><br> 2. Relationship between files:<br> Figure 2 Make.R uses Figure 2.txt and Figure 2.vcf<br> Figure 4 Make.R uses Figure 4 and 6 data.csv and Figure 4 colors.csv<br> Figure 5b Make.R uses Figure 5b - Clad clades.csv, Figure 5b_Cladocopium.nex, Figure 5b_Pocillopora.nex, and Figure 5b.csv<br> Figure 6 Make.R Figure 4 and 6 data.csv</p> <p> </p> <p>3. Metadata</p> <p>Figure 2 Make.R:<br> R code to produce Figure 2, and the accompanying analyses presented in the text, in:<br> Johnston EC, Cunning, Burgess SC. Cophylogeny and specificity between cryptic coral species (Pocillopora spp.) at Mo’orea and their symbionts (Symbiodiniaceae).<br> Uses 'Figure 2.txt', 'Figure 2.vcf'</p> <p><br> Figure 4 Make.R:<br> R code to produce Figure 4, and the accompanying analyses presented in the text, in:<br> Johnston EC, Cunning, Burgess SC. Cophylogeny and specificity between cryptic coral species (Pocillopora spp.) at Mo’orea and their symbionts (Symbiodiniaceae).<br> Uses 'Figure 4 and 4 data.csv', 'Figure 4 colors'</p> <p><br> Figure 5b Make.R:<br> R code to produce Figure 5b, and the accompanying analyses presented in the text, in:<br> Johnston EC, Cunning, Burgess SC. Cophylogeny and specificity between cryptic coral species (Pocillopora spp.) at Mo’orea and their symbionts (Symbiodiniaceae).<br> Uses 'Figure 5b - Clad clades.csv', 'Figure 5b_Cladocopium.nex', 'Figure 5b_Pocillopora.nex', 'Figure 5b.csv'</p> <p><br> Figure 6 Make.R:<br> R code to produce Figure 6, and the accompanying analyses presented in the text, in:<br> Johnston EC, Cunning, Burgess SC. Cophylogeny and specificity between cryptic coral species (Pocillopora spp.) at Mo’orea and their symbionts (Symbiodiniaceae).<br> Uses 'Figure 4 and 6 data.csv'</p> <p><br> Figure 1 SNAPP species tree.xml:<br> Data for species tree used in Figure 1</p> <p>Figure 2.txt:<br> Metadata<br> Sample_ID: Sample ID<br> Hap_Spp: Pocillopora species or haplotype</p> <p>Figure 2.vcf:<br> Linked dataset of 7,887 SNPs</p> <p>Figure 3b - Pocillopora mt genomes.nex:<br> Nexus tree of Pocillopora mitochondrial genomes used in Figure 3b</p> <p><br> Figure 4 and 6 data.csv:<br> Metadata<br> Species.haplotype: Pocillopora species or haplotype<br> Depth.m: Sampling depth in meters<br> Site: Sampling site, label corresponds to the site used in the Moorea Coral Reef Long-Term Ecological Research (MCR-LTER) program.<br> Coral.ID: Coral colony identifier<br> Type_profile: ITS2 type profile generated by SymPortal<br> Type_profile_Prop: Proportion of that given ITS2 type profile in colony sampled<br> Remaining columns: Proportion of ITS2 sequences in colony sampled</p> <p>Figure 4 colors.csv:<br> Metadata<br> my_colors: Custom colors for each ITS2 sequence<br> Symbio.clade: ITS2 sequences</p> <p>Figure 5a - Cladocopium_psbA.nex:<br> Nexus tree of Cladocopium taxa in figure 5a</p> <p>Figure 5b - Clad clades.csv:<br> Metadata<br> UCI_links: Sample ID that contains Pocillopora species or haplotype, sample ID, and ITS2 type profile<br> Clad_clades: Clade assignment from figure 5a</p> <p>Figure 5b_Cladocopium.nex:<br> Nexus tree of Cladocopium taxa in Figure 5b</p> <p>Figure 5b_Pocillopora.nex:<br> Nexus tree of Pocillopora taxa used in PACo analysis, Figure 5b</p> <p>Figure 5b.csv:<br> Matrix of Pocillopora host and Cladocopium symbiont links</p>
Indicative distribution map for Ecosystem Functional Group M1.3 Photic coral reefs
<p>This archive contains indicative distribution maps and profiles for <strong>M1.3 Photic coral reefs</strong>, a ecosystem functional group (EFG, level 3) of the <a href="https://global-ecosystems.org/">IUCN Global Ecosystem Typology</a> (v2.0). Please refer to Keith <em>et al.</em> (2020) for details.</p> <p>The descriptive profiles provide brief summaries of key ecological traits and processes, maps are indicative of global distribution patterns, and are not intended to represent fine-scale patterns. The maps show areas of the world containing major (value of 1, coloured red) or minor occurrences (value of 2, coloured yellow) of each ecosystem functional group. Minor occurrences are areas where an ecosystem functional group is scattered in patches within matrices of other ecosystem functional groups or where they occur in substantial areas, but only within a segment of a larger region. Given bounds of resolution and accuracy of source data, the maps should be used to query which EFG are likely to occur within areas, rather than which occur at particular point locations. Detailed methods and references for the maps are included in the profile (xml format).</p>
Environmental and ecological controls of coral community metabolism on Palmyra Atoll
These data sets describe Palmyra Atoll coral reef Environmental and ecological controls of coral community metabolism. Data was collected between August—October 2012. Data in this package was published under: Koweek, D., R. Dunbar, J. Rogers, G. Williams, N. Price, D. Mucciarone, and L. Teneva, Environmental and ecological controls of coral community metabolism on Palmyra Atoll Coral Reefs. There are six data files associated with Koweek et al. This data was originally published at NOAA’s National Center for Environmental Information. See Data Provenance section for more details.
Virgin Islands National Park: Coral Reef: Population Dynamics: Scleractinian corals
These data are evidence of the the long-term dynamics of shallow coral reefs along the south coast of St. John from as early as 1987. These data describe coral reef community structure as percent cover based on the analysis of color photographs. All of these data originate from color images of photoquadrats recorded annually (usually in the summer) from as early as 1987. The data falls into three groups. The two groups that are contained in this data package are (1) Tektite & Yawzi and (2) Random sites. The juvenile coral density is packaged separately. Tektite – this is at 14 m depth on the eastern side of Great Lameshur Bay and is the original site of the Tektite man-in-the sea project in 1969; this project marked the birth of the Virgin Islands Ecological Research Station (later the Virgin Islands Environmental Resource Station) that hosts the field component of the project. The reef in this location consists of a single buttress that has remained dominated by Montastraea anularis since the start of the research (1987). These surveys consist of 30 photoquadrats (1 x 1 m) distributed along three, 10 m transects. Yawzi – this is at 9 m depth and is on the western side of Great Lameshur Bay and has been recorded photographically since 1987. This reef also started the study period dominated by Montastraea annularis, but has degraded much more rapidly that the Tektite site. These surveys consist of 30 photoquadrats (1 x 1 m) distributed along three, 10 m transects. Random sites – were added in 1992 to address the concern that the original sites (Yawzi and Tektite) were selected on “good” areas of reef and, therefore, could only decline in condition. The Random sites were selected using random coordinates in 1992, and consist of 6 sites (at 7-9 m depth) scattered between Cabritte Point and White Point. All lie a little shoreward of Yawzi and Tektite, and have always been characterized by low coral cover (< 10% cover). The surveys consist of 18-40 photoquadrats (0.5 x 0
Virgin Islands National Park: Coral Reef: Recruitment Tiles
In this study, coral recruitment was measured on a kilometer-wide scale on shallow (5–6 m depth) fringing reefs in St. John, US Virgin Islands, with the objective of determining the extent to which variation in recruitment was affected by biophysical coupling involving temperature and flow. Coral recruitment was measured using settlement tiles deployed at 10 sites along 10 km of shore. The tiles were first deployed in August 2006, and thereafter replaced every ≈6 months to sample from either August to January, or January to August over 2 years. Seawater temperature was recorded at the 10 sites using logging thermistors, and flow was quantified using drogues. Overall, corals recruited at a rate equivalent to 76 corals m− 2 6 months− 1, and were represented mostly by poritids (43% of recruits), agaricids (29%), faviids (17%) and siderastreids (7%). Although the density of recruits differed among sites in a pattern that varied among periods and years, there was a consistent trend for mean density to decline from ≈ 4 corals tile− 1 at eastern sites, to ≤ 1 coral tile− 1 at western sites. One aspect of seawater temperature – the daily range – differed among sites and was greater at western compared to eastern sites, and while it was related inversely to recruitment over one of the sampling periods, it was equivocal as a physical process affecting recruitment. Instead, our results are consistent with biophysical coupling involving patch depletion and downstream filtering, whereby patches of coral larvae are delivered to the south shore of St. John and depleted of larvae through settlement as the water progresses westward.
Virgin Islands National Park: Coral Reef: Juvenile Coral
Coral larvae are selective with regards to the surfaces upon which they settle, but little is known about the outcome of these choices. In this study, we explored the implications for juvenile scleractinians (less than 40-mm diameter) of growing on igneous versus carbonate rock on the shallow reefs (5-m depth) of St. John, US Virgin Islands. Surveys revealed that juvenile corals occurred at densities of 16 colonies m− 2 and were distributed on igneous and carbonate rocks in proportion to the abundance of these surfaces, suggesting that larvae do not discriminate between rock types at settlement. Repeated surveys demonstrated that all juvenile corals (i.e., pooled among taxa) grew 41% slower on igneous versus carbonate rock between January and August, but not between August and January when the growth was statistically indistinguishable between rock types. Although the growth of the most common juvenile coral, Porites astreoides, was similar on both substrata, the photophysiology of this species was affected by the type of rock. The maximum relative electron transfer rate (rETR, a proxy for photosynthesis) of P. astreoides was down-regulated 30% on igneous compared to carbonate rock. Phylogenetic analyses of the Symbiodinium community sequence profiles within P. astreoides revealed significant differences between substrata, with a greater diversity of co-occurring ITS-2 sequences in corals growing on carbonate compared to igneous rock. While substratum-dependent patterns in the characteristics of juvenile corals suggested there is selective value to the settlement choices made by larvae, these trends did not translate into differences in survival, at least over the time scale investigated. It remains uncertain what features of the rocks affected coral performance, but differences in the temperature of the rock may be an important feature during the warmest period of the year.
Virgin Islands National Park: Coral Reef: Physical Measurements
These data have been utilized for several publications analyzing different aspects of seawater temperature, including Edmunds: Royal Society 2006, Green et al: Journal of Experimental Marine Biology and Ecology 2010, Green and Edmunds: Journal of Experimental Marine Biology and Ecology 2011, and Edmunds: Marine Ecology Project Series 2013. Temperatures were averaged by day and month and used to calculate annual mean and range using monthly mean temperatures. Daily temperatures were used to categorize days as hot (> 29.3°C) or cold (≤ 26.0°C), with hot days exceeding the coral bleaching threshold for St. John (http://coralreefwatch.noaa.gov/satellite), and ‘cold days’ less than or equal to the lower 12th percentile of daily seawater temperatures in Great Lameshur Bay between 1989-2005 (Edmunds 2006).This dataset cotains data annually updated data ongoing since July 1999.
Virgin Islands National Park: Coral Reef: Population Dynamics: Diadema antillarum
A potential consequence of individuals compensating for density-dependent processes is that rare or infrequent events can produce profound and long-term shifts in species abundance. In 1983–1984 a mass mortality event reduced the numbers of the abundant sea urchin Diadema antillarum by 95–99% throughout the caribbean and western atlantic. Following this event, the abundance of macroalgae increased and the few surviving D. antillarum responded by increasing in body size and fecundity. these initial observations suggested that populations of D. antillarum could recover rapidly following release from food limitation. In contrast, published studies of field manipulations indicate that this species had traits making it resistant to density-dependent effects on offspring production and adult mortality; this evidence raises the possibility that density-independent processes might keep populations at a diminished level. Decadal scale (1983–2011) monitoring of recruitment, mortality, population density and size structure of D. antillarum from st John, us Virgin Islands, indicates that population density has remained relatively stable and more than an order of magnitude lower than that before the mortality event of 1983–1984. We detected no evidence of density-dependent mortality or recruitment since this mortality event. In this location, model estimates of equilibrium population density, assuming density-independent processes and based on parameters generated over the first decade following the mortality event, accurately predict the low population density 20 years later (2011). We find no evidence to support the notion that this historically dominant species will rebound from this temporally brief, but spatially widespread, perturbation.
Virgin Islands National Park: Coral Reef: Population Dynamics: Scleractinian corals (Reformatted to the ecocomDP Design Pattern)
This data package is formatted as an ecocomDP (Ecological Community Data Pattern). For more information on ecocomDP see https://github.com/EDIorg/ecocomDP. This Level 1 data package was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/edi/291/2. The abstract below was extracted from the Level 0 data package and is included for context: These data are evidence of the the long-term dynamics of shallow coral reefs along the south coast of St. John from as early as 1987. These data describe coral reef community structure as percent cover based on the analysis of color photographs. All of these data originate from color images of photoquadrats recorded annually (usually in the summer) from as early as 1987. The data falls into three groups. The two groups that are contained in this data package are (1) Tektite & Yawzi and (2) Random sites. The juvenile coral density is packaged separately. Tektite – this is at 14 m depth on the eastern side of Great Lameshur Bay and is the original site of the Tektite man-in-the sea project in 1969; this project marked the birth of the Virgin Islands Ecological Research Station (later the Virgin Islands Environmental Resource Station) that hosts the field component of the project. The reef in this location consists of a single buttress that has remained dominated by Montastraea anularis since the start of the research (1987). These surveys consist of 30 photoquadrats (1 x 1 m) distributed along three, 10 m transects. Yawzi – this is at 9 m depth and is on the western side of Great Lameshur Bay and has been recorded photographically since 1987. This reef also started the study period dominated by Montastraea annularis, but has degraded much more rapidly that the Tektite site. These surveys consist of 30 photoquadrats (1 x 1 m) distributed along three, 10 m transects. Random sites – were added in 1992 to address the concern that the original sites (Yawzi and Tektite) were selected on “good” a
MCR LTER: Coral Reef: Water Column: Nearshore Water Profiles, CTD, Primary Production, and Chemistry ongoing since 2005
This data package contains water chemistry measurements taken 2 to 4 times per year at 6 stations on the north shore of Moorea, French Polynesia: Forereef, Lagoon, Fringing Reef, Cooks Bay, Cooks Bay Stream Mouth, and Offshore (5 km due north). Measurements include standard CTD parameters, nutrients, chlorophyll, phaeopigments, particulate organic carbon and nitrogen, dissolved organic carbon, dissolved inorganic carbon, total alkalinity, water column primary production, and abundance of bacteria. Sampling began in August, 2005. All water samples were collected with Niskin Bottles. CTD data were collected with a SBE19-Plus Seacat Profiler outfitted with WetLabs FLNTURT-221 Flurometer/turbidity sensors. CTD and bottle samples were taken on separate casts at each station. Two additional stations on the Moorea east shore were sampled in August 2005 only: LTER 3 Forereef Water Column, LTER 3 Backreef Water Column. This material is based upon work supported by the U.S. National Science Foundation under Grant No. OCE 16-37396 (and earlier awards) as well as a generous gift from the Gordon and Betty Moore Foundation. Research was completed under permits issued by the French Polynesian Government (Délégation à la Recherche) and the Haut-commissariat de la République en Polynésie Francaise (DTRT) (Protocole d'Accueil 2005-2018). This work represents a contribution of the Moorea Coral Reef (MCR) LTER Site.
MCR LTER: Coral Reef: Water Column: Nutrients, ongoing since 2005
This data package contains water chemistry measurements taken approximately bi-monthly at 3 stations on the north shore of Moorea, French Polynesia: Forereef, Lagoon, Fringing Reef. Nutrients are measured from water samples collected with Niskin bottles or Falcon tubes. For completeness, nutrient measurements are reported even when concentrations are below the detection limit of the method, which commonly occurs at this site. Sampling began in August, 2005 and is ongoing. This material is based upon work supported by the U.S. National Science Foundation under Grant No. OCE 16-37396 (and earlier awards) as well as a generous gift from the Gordon and Betty Moore Foundation. Research was completed under permits issued by the French Polynesian Government (Délégation à la Recherche) and the Haut-commissariat de la République en Polynésie Francaise (DTRT) (Protocole d'Accueil 2005-2018). This work represents a contribution of the Moorea Coral Reef (MCR) LTER Site.
MCR LTER: Coral Reef: Benthic Water Temperature, ongoing since 2005
A continuous time series of benthic water temperature is measured with bottom-mounted thermistors at six sites around the shores of Moorea, on the fringing reef, backreef, and forereef. The forereef temperature is recorded with SBE 39s or SBE 56s at 10, 20, 30 and 40 m, starting between 2005 to 2007, except FOR00 starting in 2010. These are ongoing except the 40 m deployments were discontinued after August 2019. The backreef SBE 39s/56s are mounted on plates at 1 m depth at LTER 1 and at 2 m depth at the other five sites. Onset HOBOs are deployed on the fringing reef at one shallow 1 m depth and one deeper depth varying by site as follows: 6 m at LTER 1, 4 m at LTER 2, 7 m at LTER 3, 6 m at LTER 4, 3 m at LTER 5 and 4 m at LTER 6. The mounting plate is fixed to the reef and depths do not vary through time. These depths are not measured by the thermistors and should be considered categorical. Throughout the timeseries, temperature measurements have been taken every 2 minutes by SBE 39s and SBE 56s, and every 8 minutes by the Onset HOBOs. Prior to July 2021 temperature data were subjected to a low-pass filter to remove noise and temperature was resampled to a 20 minute time step. Beginning in July 2021 data are raw temperature values sampled every two minutes (SBE 39s and SBE 56s) or eight minutes (Onset HOBOs) depending on the instrument. This material is based upon work supported by the U.S. National Science Foundation under Grant No. OCE 22-24354 (and earlier awards) as well as a generous gift from the Gordon and Betty Moore Foundation. Research was completed under permits issued by the French Polynesian Government (Délégation à la Recherche) and the Haut-commissariat de la République en Polynésie Francaise (DTRT) (Protocole d'Accueil 2005-2023). This work represents a contribution of the Moorea Coral Reef (MCR) LTER Site.
MCR LTER: Coral Reef: Water Column: Offshore Ocean Acidification: Water Profiles, CTD, and Chemistry from 2005 to 2012
This data package contains water chemistry measurements taken 2 to 4 times per year at a station 5 km offshore of the north shore of Moorea, French Polynesia. Measurements include standard CTD parameters, phosphate, silicate, total alkalinity (TA) and total dissolved inorganic carbon (DIC). Sampling began in August, 2005. All water samples were collected with Niskin Bottles. This data includes excerpts from CTD data were collected with a SBE19-Plus Seacat Profiler. CTD and bottle samples were taken on separate casts at each station. (For full CTD data refer to knb-lter-mcr.10.) All other parameters were calculated from temperature, pressure, nutrients, TA and DIC with CO2Sys programs available at: http://cdiac.ornl.gov/oceans/co2rprt.html (Lewis E. and D. Wallace Program Developed for CO2 System Calculations) using constants K1, K2 from Mehrbach et al, 1973 refit by Dickson and Millero, 1987, Dickson KHSO4, and the Seawater pH scale (mol/kg-SW). If users wish to use different constants and scales, they will need to recalculate using the emperically collected data (TA and DIC).
MCR LTER: Coral Reef: Island-Wide Lagoon Benthic Water Temperature, ongoing since 2021
Beginning in August 2021, a continuous time series of benthic water temperature is measured with bottom-mounted thermistors (SBE 56s) at 49 sites around the lagoons of Moorea. The thermistor array consists of a backbone of 36 thermistors placed on the backreef approximately 200 m shoreward of the reef crest and spaced approximately 1 km apart. In addition, there are three cross-shore transects (one on each of the three sides of the island). Each cross-shore transect consists of five bottom-mounted thermistors spaced at 100 m intervals, starting at the reef crest and ending 400 m inshore. All thermistors are mounted on plates at ~ 1.5 m depth. Temperature measurements are taken every 2 minutes.
MCR LTER: Coral Reef: Turbinaria CHN from a spatially explicit sampling campaign in lagoons of Moorea, French Polynesia
Nutrients are important for ecosystem structure and community dynamics. To quantify time-integrated patterns of nutrient regimes in tropical lagoon ecosystems, concentrations of nitrogen, hydrogen, and carbon were measured from tissues of the macroalga Turbinaria ornata collected in lagoons around Moorea, French Polynesia in 2016, 2017, and annually starting in 2019. These sampling periods initially corresponded with distinct seasonal shifts in rainfall and wave forcing and later focused on the rainy season. Results showed that N enrichment was highest nearshore in fringing reef habitats, as well as in bays and at reef passes.
MCR LTER: Coral Reef: Water Column fDOM in lagoons of Moorea, French Polynesia
Dissolved organic matter (DOM) is a mixture of organic materials that are dissolved in water. DOM represents a significant fraction of carbon and nutrient stocks in seawater. To quantify the distribution and dynamics of organic matter in nearshore marine environments, fluorescent dissolved organic matter (fDOM; a subset of DOM that fluoresces under ultraviolet light) was quantified from water column samples collected in lagoons around Moorea, French Polynesia during May 2021, April 2022, and April 2023. fDOM components, such as humic-like compounds, as well as fDOM indices, such as the humification index, were measured using fluorometry (for more details refer to methods). Humification Index was higher in bays and fringing reef habitats, whereas Fluorescence Index and M:C ratio were higher further offshore at back reef sites.
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.