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1,283 results for “Intertidal”
Intertidal Crab Data in Midcoast Maine: 2018-2024
Invasive species have caused major disruptions to ecosystems worldwide. The European green crab invaded North America in the 1800s and is considered one of the world’s 100 worst invaders by the IUCN. Observations of spatiotemporal green crab population dynamics are essential for predicting and managing the ecological and economic impacts of this harmful invasive species. These data come from a standardized method for assessing green crab population dynamics in the rocky intertidal zone of New England and Atlantic Canada. Data was collected from 10 survey sites located along the coast of Maine from Yarmouth, ME (furthest point south), to Walpole, ME (furthest site north) from January, 2018 to November, 2024. Data was collected following the survey design described in McMahan (2020), using a 1m^2 quadrat to sample rocky intertidal habitat. The resulting data collected using this protocol has a wide range of uses, including to inform ecological research, conservation efforts, mitigation strategies, and fishery development, as well as for educational outreach purposes.
Densities and cover data for intertidal organisms from an LTREB project in the Gulf of Maine, USA, from 1996 to 2023.
Experimental clearings in macroalgal (Ascophyllum nodosum) stands were made in 1996 to determine if mussel beds and macroalgal stands on protected intertidal shores in New England represent alternative community states. Uncleared control plots and four sizes of circular clearings (1m, 2m, 4m and 8m in diameter), which mimicked ice scour events, were established in A. nodosum stands at 12 sites on Swan’s Island, Maine, USA. The purpose of these datasets is to provide access to data on densities and percentage cover in the 60 experimental plots from 1996 to 2023. Earlier versions of the data prior to 2007 can be found in Ecological Archives ( E087-047 and E089-032). The current EDI version includes corrections of errors in the versions in Ecological Archives. Data include densities of mussels (Mytilus edulis), an herbivorous limpet (Testudinalia testudinalis), herbivorous snails (Littorina littorea, Littorina obtusata), a predatory snail (Nucella lapillus), a barnacle (Semibalanus balanoides), and fucoid algae (Ascophyllum nodosum and Fucus vesiculosus), and percentage cover by mussels, barnacles, fucoids and other sessile organisms. Research was funding by NSF's LTREB program.
Data and Analysis for Kaplanis, Denny, and Raimondi 2024, "Vertical distribution of rocky intertidal organisms shifts with sea-level variability on the Northeast Pacific Coast".
<p>This repository contains all the data and R scripts used to produce all analyses and figures for Kaplanis, Denny, and Raimondi 2024, as well as all intermediate outputs and final figures. To access this content, download and unzip the intertidalvertdist folder (for intertidal vertical distribution). The R Project is titled "intertidalvertdist". All pertinent information needed to access data, replicate the analyses, and produce figures is contained within the README file, but a brief desciption is below.</p> <p><br>Directory Architecture:</p> <p>Data:<br>Contains all data. Within this folder are two subdirectories - Raw Data, and Processed Data. Raw Data are unmanipulated, straight from the data source. Processed Data are outputs from scripted data wrangling and transformations. </p> <p>Within each of these folders are two more subdirectories: Tide Gauge Data, and MARINe Data. These are the two data sources used in this manuscript - monthly sea-level data from The National Oceanic and Atmospheric Administration Center for Operational Oceanographic Products and Services (NOAA CO-OPS) tide gauge stations, and long-term rocky intertidal biological monitoring data from Multi-Agency Rocky Intertidal Network (MARINe) survey sites.</p> <p>Scripts:<br>All R scripts are contained within the Scripts folder. The scripts have the prefix IVD (for intertidal vertical distribution), then a name that indicates the major function of the code. The scripts either downloads data, manipulates data, conducts analyses, and/or produces a figure.</p> <p>Outputs:<br>Any figures and tables from preliminary analyses, but that are not used in the final manuscript, are saved in Outputs.</p> <p>Figures:<br>All final figures and tables are contained in the Figures folder. All figures are produced by scripts, except Figs. 1 and 2, which are schematics produced manually in a graphics editor. This folder contains two other folders: Supplemenatary Figures, and Partial Regression Plots. Partial Regression plots are the same as the final Figures 8-12, except they are grouped by taxa rather than by explanatory variable.</p> <p>Data Processing Workflow - Overview: <br>Tide Gauge Data (Data/Raw Data/Tide Gauge Data/individual stations) were downloaded using the NOAA Co-Ops API URL Builder (https://tidesandcurrents.noaa.gov/api-helper/url-generator.html), merged, then analyzed. Three MARINe data sets from the Coastal Biodiversity Survey (CBS) were accessed via data requests (https://marine.ucsc.edu/explore-the-data/contact/data-request-form.html). The first MARINe dataset (Data/Raw Data/MARINe Data/CBS_Percent Cover Data, both First Sample and Full Sample) was used to determine the top ten most abundant taxa (hereafter termed “dominant taxa”) across CBS survey sites during the monitoring period of 2001-01-01 to 2021-09-30. The second MARINe dataset (Data/Raw Data/MARINe Data/CBS_Elevation Data) was used to describe the upper limits of vertical distribution of dominant taxa through time. The third MARINe dataset (Data/Raw Data/MARINe Data/CBS_Presence Data) was used to visualize latitudinal distribution of taxa.</p> <p>Location information for Tide Gauge Stations and CBS Survey Sites were assembled into a table (Data/Raw Data/CBS_Tide Gauge_Data.csv)</p> <p>Tide Gauge Data were processed first, then MARINe Data. To replicate this workflow follow the steps described in the README file, in order.</p>
Indicative distribution map for Ecosystem Functional Group MFT1.2 Intertidal forests and shrublands
<p>This archive contains indicative distribution maps and profiles for <strong>MFT1.2 Intertidal forests and shrublands</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>
Identification of microbial exopolymer producers in sandy and muddy intertidal sediments by compound-specific isotope analysis.
<p>This dataset supports the version 2 of the paper entitled <em>Identification of microbial exopolymer producers in sandy and muddy intertidal sediments by compound-specific isotope analysis :</em></p> <p><em>Hubas, Cédric; Gaubert-Boussarie, Julie; D’Hondt, An-Sofie; Jesus, Bruno; Lamy, Dominique; Meleder, Vona; Prins, Antoine; Rosa, Philippe; Stock, Willem; Sabbe, Koen. Identification of microbial exopolymer producers in sandy and muddy intertidal sediments by compound-specific isotope analysis. Peer Community Journal, Volume 3 (2023), article no. e104. doi : <a href="https://doi.org/10.24072/pcjournal.336">10.24072/pcjournal.336</a>. <a href="https://peercommunityjournal.org/articles/10.24072/pcjournal.336/">https://peercommunityjournal.org/articles/10.24072/pcjournal.336/</a></em></p>
Benthic chlorophyll concentrations and gross oxygenic photosynthesis rates in surficial estuarine intertidal sediments at sites on Sapelo Island and near the Satilla River from January, April, June and July 2001
Seasonal patterns of estuarine creek-bank and intertidal marsh benthic chlorophyll and gross oxygenic photosynthesis were investigated at several sites on Sapelo Island and the Satilla River in coastal Georgia. Benthic chlorophyll were measured in the bulk surface centimeter depth of sediment. Gross oxygenic photosynthesis rates were integrated over 100 um resolution measurements below the sediment water interface using oxygen microelectrodes. Several relatively pristine sites on Sapelo Island (Moses Hammock, Dean Creek and Marine Institute) and a presumably heavily impacted site (Dover Bluff) show similar levels of chlorophyll concentration and photosynthesis rate across bank and marsh zones with higher photosynthetic biomass and activity in the spring season. Nutrient inputs to these study sites are also suggested as a control on gross oxygenic photosynthesis rates as evidenced by a relationship between photosynthesis rate and land-use.
Benthic chlorophyll concentrations and gross oxygenic photosynthesis rates in surficial estuarine intertidal sediments at sites on Sapelo Island and near the Satilla River from June and August 2002
Seasonal patterns of estuarine creek-bank and intertidal marsh benthic chlorophyll and gross oxygenic photosynthesis were investigated at several sites on Sapelo Island and the Satilla River in coastal Georgia. Benthic chlorophyll were measured in the bulk surface centimeter depth of sediment. Gross oxygenic photosynthesis rates were integrated over 100 um resolution measurements below the sediment water interface using oxygen microelectrodes. Several relatively pristine sites on Sapelo Island (Moses Hammock, Dean Creek and Marine Institute) and a presumably heavily impacted site (Dover Bluff) show similar levels of chlorophyll concentration and photosynthesis rate across bank and marsh zones with higher photosynthetic biomass and activity in the spring season. Nutrient inputs to these study sites are also suggested as a control on gross oxygenic photosynthesis rates as evidenced by a relationship between photosynthesis rate and land-use.
Benthic chlorophyll, density, porosity, and organic content concentrations and gross oxygenic photosynthesis rates in surficial estuarine intertidal sediments at sites on Sapelo Island and near the Satilla River from January, April, June and July 2001
Seasonal patterns of estuarine creek-bank and intertidal marsh benthic chlorophyll, density, porosity, and organic content were investigated at several sites on Sapelo Island and the Satilla River in coastal Georgia. Benthic chlorophyll, density, porosity, and organic content were measured in the bulk surface centimeter depth of sediment. Several relatively pristine sites on Sapelo Island (Moses Hammock and Dean Creek) and a presumably heavily impacted site (Dover Bluff) show similar levels of chlorophyll concentration across bank and marsh zones with higher photosynthetic biomass in the spring season.
Benthic chlorophyll, density, porosity, and organic content concentrations in surficial estuarine intertidal sediments at sites on Sapelo Island and near the Satilla River from June and August 2002
Seasonal patterns of estuarine creek-bank and intertidal marsh benthic chlorophyll, density, porosity, and organic content were investigated at several sites on Sapelo Island and the Satilla River in coastal Georgia. Benthic chlorophyll, density, porosity, and organic content were measured in the bulk surface centimeter depth of sediment. Several relatively pristine sites on Sapelo Island (Moses Hammock and Dean Creek) and a presumably heavily impacted site (Dover Bluff) show similar levels of chlorophyll concentration across bank and marsh zones with higher photosynthetic biomass in the spring season.
Porewater nutrients, dissolved organics, redox species, and gasses in estuarine intertidal sediments at sites on Sapelo Island and near the Satilla River from Fall 2000 through Fall 2002
Seasonal patterns of estuarine creek-bank sediment porewater nutrients, dissolved organics, redox species and gasses were investigated at several sites on Sapelo Island and the Satilla River in coastal Georgia. Porewater ammonium, nitrate+nitrite, phosphate, silica, dissolved organic carbon, nitrogen and phosphorus, reduced iron and manganese, chloride, sulfate, hydrogen sulfide, pH, dissolved inorganic carbon, methane and nitrogen gas were measured at centimeter scale resolution depth profiles with the use of porewater equilibration meters. Several relatively pristine sites on Sapelo Island (Moses Hammock, Dean Creek and Marine Institute), a site slightly impacted by development (White Oak Creek) and a presumably heavily impacted site (Dover Bluff) show different levels and patterns of several porewater constituents.
Digital Elevation Model (DEM) of the Duplin River and adjacent intertidal areas near Sapelo Island, Georgia
Topographic and bathymetric data were collected for the Duplin River and adjacent intertidal areas near Sapelo Island, Georgia, using high-precision multibeam SONAR equipment. The bathymetric survey was performed from 09-Dec-2009 to 12-Dec-2009. This study was conducted to create a base map of bathymetry, morphology and physical habitat of the Duplin River, which is a primary study site of the Georgia Coastal Ecosystems Long Term Ecological Research (GCE-LTER) project.
Biodiversity and metacommunity structure of rocky intertidal invertebrates in some coastal ecosystems in Puerto Rico
The goals of this study were to determine the relative importance of environmental (wave power density, wave height) and habitat (e.g., algal cover, slope, complexity of rock surfaces) factors associated with the structure of local assemblages at multiple shore heights and the regional metacommunity of mobile invertebrates on oceanic rocky intertidal habitats. These characteristics and abundances of 41 species of invertebrate were estimated at 10 plots at each of three tidal heights at each of ten sites on the shoreline of Puerto Rico. Support for this work was provided by grants BSR-8811902, DEB-9411973, DEB-9705814 , DEB-0080538, DEB-0218039 , DEB-0620910 , DEB-1239764, DEB-1546686, and DEB-1831952 from the National Science Foundation to the University of Puerto Rico as part of the Luquillo Long-Term Ecological Research Program. Additional support provided by the University of Puerto Rico and the International Institute of Tropical Forestry, USDA Forest Service.
Sediment temperature at three depths below sediment surface in intertidal mudflats in Virginia, 2013-2014
We logged the sediment temperature at three intertidal mudflat sites between September, 2013 and September, 2014. At each site, three submersible temperature loggers (HOBO Pendant UA-002; Onset Computer Corporation) were buried at 3 cm, 10 cm and 20 cm below the sediment surface. Temperature was recorded in ten minute intervals. Each site was unvegetated with muddy sediment. For sites 1 and 2, data was recorded in two time series. Time series 1 from 09/02/2013 - 12/16/2013 and time series 2 from 12/19/2013 - 09/18/2014. At site 2, 20 cm depth, no data was recorded after 12/16/2013. At site 3, data was recorded at all depths continuously from 09/2/2013 to 08/28/2014. Date and time was recorded as GMT offset by -5 hours (Eastern Standard Time).
Mapping the intertidal microphytobenthos Gross Primary Production
<p>Dataset used in the papers "Mapping the intertidal microphytobenthos Gross Primary Production. PartI & PartII" published in Frontiers Marine Science Research Topic "Advances and Challenges in Microphytobenthos Research: From Cell Biology to Coastal Ecosystem Function", and maps (geotiff) resulting of the use of the GPP-algorithm with Platt or Eilers and Peeters models.</p>
Dataset: Baseline for the Northeast Atlantic (58 – 70° N) intertidal Mytilus species complex (Mytilus spp.) 2021-2022
<p><strong><span>Aim: </span></strong><span>Mussels (<em>Mytilus spp</em>.) are abundant in the North Atlantic, sessile, and sensitive to environmental change, and suitable as sentinels of environment and climate change of costal ecosystems. We aimed to determine the baseline for the Northeast Atlantic (58 – 70° N)<em> Mytilus</em> species complex, and to show the present distribution to surveys conducted 60 years ago. </span></p> <p><strong><span>Location:</span></strong><span> Northeast Atlantic </span></p> <p><strong><span>Methodology: </span></strong><span>Baseline was obtained by investigating a total of 509 stations in the intertidal zone, in four regions comprising the environmental gradient from head of fjord to coast, and distributed over the latitudinal gradient from 58 – 70° N. </span></p> <p><strong><span>Results:</span></strong><span> The baseline shows a range in continuous abundance of mussels from 12 to 36 %, patchy abundance from 26 to 57 % and no or very limited mussel abundance from 26 to 46 % between the four regions. The presence of mussels in the southeast and west region was visualized to previous surveys conducted 60 years ago. The data points to similar past and present presence of mussels in both regions, yet past major mussel fields in the inner section of region southeast was not detected in this study.</span></p> <p><strong><span>Main conclusions:</span></strong></p> <p><span>The baseline of <em>Mytilus spp.</em> in the Northeast Atlantic (58 – 70° N) is now available for future reference. The baseline, plotted to surveys conducted 60 years ago, points to awareness of the population situated in the southeast section of the investigated region. Continued monitoring and modelling are needed to clarify drivers of temporal and spatial variation in the mussel populations along the Northeastern Atlantic coast. </span></p>
Data from: Microplastic and organic carbon storage in sediments of intertidal and subtidal seagrass meadows
<p>This datasets support the scientific article (submitted) " Microplastic and organic carbon storage in sediments of intertidal and subtidal seagrass meadows." It contains detailed data on sedimentary organic carbon content and the abundance of microplastics in both intertidal and subtidal seagrass meadows within the Ria Formosa lagoon (Southern Portugal). The datasets are accompanied by analysis code, available at GitHub repository, allowing for reproducibility and further exploration of the data.</p> <p>The data is composed by 4 datasets with the following variables:</p> <p><strong>data_cores.csv. </strong>Contains properties related to the sampling of the sediment cores.</p> <ul> <li>core_id [character] - unique core identification code used in the field.</li> <li>core_id_new [character] - unique core identification code used in the article.</li> <li>species [character] - species of the seagrass meadow.</li> <li>replicate [character] - replicate number of the core in each seagrass meadow.</li> <li>core_depth [numeric] - depth sampled with the core (in centimeters).</li> <li>sample_length [numeric] - length of the sampled core measured in the laboratory (in centimeters).</li> <li>compaction_factor [numeric] - fraction of the sample depth interval reduced due to compaction. It is calculated by dividing the core length by the core depth.</li> <li>compaction_perc [numeric] - core compaction in percentage (%). It is calculated as 100*(1 - compaction_factor).</li> </ul> <p><br><strong>data_samples.csv. </strong>Contains properties of the sediment samples.</p> <ul> <li>core_id [character] - unique core identification code used in the field.</li> <li>sample_id [character] - unique sample identification code (obtained by concatenating the core id and the minimum non-corrected depth of the sample).</li> <li>depth_middle [numeric] - middle depth of a sampling increment, calculating as the average of depth_min and depth_max (in centimeters).</li> <li>depth_min [numeric] - minimum depth of a sampling increment, corrected for compaction (in centimeters).</li> <li>depth_max [numeric] - maximum depth of a sampling increment, corrected for compaction (in centimeters).</li> <li>sample_volume [numeric] - volume of the sediment sample, corrected for compaction (in cubic centimeters).</li> <li>sample_dw [numeric] - dry mass of the sample (in grams of dry weight).</li> <li>percentage_organic_matter [numeric] - mass of organic matter relative to sample dry mass, obtained by loss-on-ignition (in percentage of dry weight).</li> <li>percentage_organic_carbon [numeric] - mass of organic carbon relative to sample dry mass, obtained by a local organic carbon to organic carbon ratio (as a percentage of dry weight).</li> <li>bag_id [character] - identification code for the aluminium envelope containing the sample.</li> <li>weight_sample_mp [numeric] - dry mass of the sample used for the microplastic extraction (in grams of dry weight).</li> <li>dry_bulk_density [numeric] - dry mass per unit volume of the sample. This is calculated as the sample_dw divided by the sample_dw (in grams of dry weight per cubic centimeter). </li> </ul> <p><br><strong>data_particles_visual.csv. </strong>Contains properties of the suspected microplastic particles found in the sediment samples and the negative controls, based on visual inspection.</p> <ul> <li>core_id [character] - unique core identification code used in the field.</li> <li>core_id_new [character] - unique core identification code used in the article.</li> <li>species [character] - species of the seagrass meadow.</li> <li>habitat_label [character] - text for labelling purposes regarding the habitat.</li> <li>type [factor] - whether the particle comes from a sediment sample ("sediment") or a control sample ("control"). </li> <li>cycle [character] - cycle in which samples were analysed.</li> <li>sample_id [character] - unique sample identification code (obtained by concatenating the core id and the minimum non-corrected depth of the sample).</li> <li>bag_id [character] - identification code for the aluminium envelope containing the sample.</li> <li>filter_id [character] - identification code of the filter used for the particle extraction.</li> <li>filter_area [numeric] - area of the filter that was screened for microplastics (in fraction of total).</li> <li>visual_id [character] - unique particle identification code based on visual identification.</li> <li>colour [factor] - particle colour category: black_grey, blue_green, brown_tan, opaque, orange_pink_red, transparent, white_cream, yellow.</li> <li>shape [factor] - particle shape category: film, foam, fragment, line, pellet.</li> <li>major [numeric] - longest dimension of the particle, analysed in ImageJ (in micrometers).</li> <li>minor [numeric] - Longest dimension perpendicular to major, analysed in ImageJ (in micrometers).</li> </ul> <p><br><strong>data_particles_ftir.csv. </strong>Contains properties of the suspected microplastic particles found in the sediment samples and the negative controls, based on the FTIR analysis.</p> <ul> <li>species [character] - species of the seagrass meadow.</li> <li>habitat_label [character] - text for labelling purposes regarding the habitat.</li> <li>core_id [character] - unique core identification code used in the field.</li> <li>core_id_new [character] - unique core identification code used in the article.</li> <li>filter_id [character] - identification code of the filter used for the particle extraction.</li> <li>filter_area [numeric] - area of the filter that was screened for microplastics (in fraction of total).</li> <li>cycle [character] - cycle in which samples were analysed.</li> <li>type [factor] - whether the particle comes from a sediment sample ("sediment") or a control sample ("control"). </li> <li>sample_id [character] - unique sample identification code (obtained by concatenating the core id and the minimum non-corrected depth of the sample).</li> <li>num_ftir [numeric] - numerical order in which particles were identified within a filter.</li> <li>colour [factor] - particle colour category: black_grey, blue_green, brown_tan, opaque, orange_pink_red, transparent, white_cream, yellow.</li> <li>shape [factor] - particle shape category: film, foam, fragment, line, pellet.</li> <li>ref_analysis [boolean] - whether the reflection analysis was preformed or not.</li> <li>atr_analysis [boolean] - whether the ATR analysis was preformed or not.</li> <li>ftir_match_ref [character] - name of the polymer with the highest match found using µFTIR for reflection analysis.</li> <li>match_ref [numeric] - percentage of match corresponding to highest match for reflection analysis.</li> <li>ftir_match_atr [character] - name of the polymer with the highest match found using µFTIR for ATR analysis.</li> <li>match_atr [numeric] - percentage of match corresponding to highest match for ATR analysis.</li> <li>plastic_ref [boolean] - whether the particle is classified as having a plastic composition or not, based on the reflection analysis.</li> <li>polymer_group_ref [factor] - polymer group based on the reflection analysis: Non-plastic, Nylon-polyamides, Poluacrylamides, Polyacrylates, Polyesters, Polyethylene, Polyglycols, Polyhaloolefins, Polymethylmethacrylate, Polypropylene, Polystyrene, Polyurethane, Polyvinylalcohol, Silicones, Others.</li> <li>plastic_atr [boolean] - whether the particle is classified as having a plastic composition or not, based on the ATR analysis.</li> <li>polymer_group_atr [factor] - polymer group based on the ATR analysis: Non-plastic, Nylon-polyamides, Poluacrylamides, Polyacrylates, Polyesters, Polyethylene, Polyglycols, Polyhaloolefins, Polymethylmethacrylate, Polypropylene, Polystyrene, Polyurethane, Polyvinylalcohol, Silicones, Others.</li> <li>ftir_match_final [character] - final decision on the polymer composition, including the option "unclear".</li> <li>plastic_final [factor] - whether the particle is classified as having a plastic composition or not, based on final decision "ftir_match_final", includes categories: yes, no, unclear.</li> <li>final_analysis [character] - the analysis performed and used for the final decision, includes categories: ref (reflection analysis), atr (ATR analysis), both-but-atr-more-conclusive, both-but-ref-more-conclusive, both-unclear.</li> <li>polymer_group_final [character] - polymer group based final decision: Non-plastic, Nylon-polyamides, Poluacrylamides, Polyacrylates, Polyesters, Polyethylene, Polyglycols, Polyhaloolefins, Polymethylmethacrylate, Polypropylene, Polystyrene, Polyurethane, Polyvinylalcohol, Silicones, Others.</li> </ul>
SBC LTER: Beach: Distribution of terrestrial organic material in intertidal and nearshore marine sediment due to debris flow response efforts
These data describe the distribution and processing of terrestrial organic material observed in the Santa Barbara Channel (Goleta Bay) during the spring of 2018. Specifically, beach, slough, and marine sediments were sampled during and after the debris disposal event that took place between January and February 2018 following the Thomas Fire and the subsequent Montecito Debris Flow. Data are contained in one table, including organic carbon, carbon isotope, lignin phenol, and pyrogenic carbon measurements analyzed from sediment cores collected at different depths and locations in the nearshore region.
Figure 31 in Rocky-intertidal cheilostome bryozoans from the vicinity of the Sesoko Biological Station, west-central Okinawa, Japan
Figure 31. Bryopesanser latesco Tilbrook: (a) NSMT-Te 1167, autozooids; (b) NSMT-Te 1100, orifice; (c) NSMT-Te 1054, ovicelled and non-ovicelled autozooids; (d) NSMT-Te 1103, ovicelled and nonovicelled autozooids; note sharp projection on proximal peristomial rim in lower-right zooid, and size difference in avicularia between lower right and lower left zooids. Panels are scanning electron microscopic images of dried, unbleached specimen (a) or bleached specimens (b–d). Scale bars: a, c, d = 300 µm; b = 100 µm.
Figure 37 in Rocky-intertidal cheilostome bryozoans from the vicinity of the Sesoko Biological Station, west-central Okinawa, Japan
Figure 37. Rhynchozoon lunifrons sp. nov.: (a) NSMT-Te 1196 (paratype), colony view; (b) enlargement from preceding panel, showing autozooids typically having three processes associated with orifice; (c–f) NSMT-Te 1197 (paratype), (c) marginal autozooids showing shape and orientation of suboral avicularian chamber, (d) marginal autozooids, showing orifice shape, (e) well-calcified ovicelled autozooids, showing large semicircular area of exposed entooecium on ovicell, (f) endozooidal ovicells, with three zooids showing a second ovicell (arrowheads) lateral to orifice. All panels are scanning electron microscopic images of bleached specimens. Scale bars: a = 1.0 mm; b = 500 µm; c–f = 300 µm.
Figure 29 in Rocky-intertidal cheilostome bryozoans from the vicinity of the Sesoko Biological Station, west-central Okinawa, Japan
Figure 29. Arthropoma harmelini sp. nov., NSMT-Te 1159 (holotype): (a) autozooids, showing crescentic suboral umbo, which in top-centre zooid is continuous with peristomial rim; (b) orifice; (c) ovicelled autozooids, with one ovicell showing a lateral extension; note there is no row of pseudopores between orifice and floor of developing ooecium; (d) ovicelled and non-ovicelled autozooids; (e) autozooids with developing ooecia; note lack of pseudopores between orifice and floor of ooecium; (f) colony margin, showing interzooidal connections. All panels are scanning electron microscopic images of bleached specimen. Scale bars: a, c, e, f = 300 µm; b = 100 µm; d = 500 µm.
ScienceDex guides
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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.