Find research datasets worth reusing

Figure 9 in REVIEW Going underwater: multiple origins and functional morphology of piercing-sucking feeding and tracheal system adaptations in water scavenger beetle larvae (Coleoptera: Hydrophiloidea)

Figure 9. Labium of larvae with chewing (A–B) and piercing-sucking (C–D) feeding system, dorsal view. A, Enochrus sp., first-instar larva, SEM micrograph. B, Derallus sp., first-instar larva, SEM micrograph. C, Berosus sp., third-instar larva, SEM micrograph. D, Oocyclus sapphirus Short & García, 2010, first-instar larva, light microscope photograph.

Figure 14 in REVIEW Going underwater: multiple origins and functional morphology of piercing-sucking feeding and tracheal system adaptations in water scavenger beetle larvae (Coleoptera: Hydrophiloidea)

Figure 14. Summary of the main structures related with apneustic respiratory system. A–C, Berosus decolor Knisch, 1924, light microscope photograph: A, habitus, first-instar larva, dorsal view; B; terminal spiracle, third-instar larva, dorsal view; C; detail of the abdominal spiracular trachea and tracheal gill, dorsal view. D, Berosus pallipes Brullé, 1841, abdominal spiracle, third-instar larva, dorsal view. E–H, Berosus sp., third-instar larva, SEM micrograph: E, spiracular chamber, ventral view; F; first abdominal segment bearing tracheal gill, dorsal view; G, detail of tracheal gill surface; H, abdominal spiracle. I, J, Hemiosus bruchi Knisch, 1924, third-instar larva, SEM micrograph: I, last abdominal segments, dorsal view; J, abdominal spiracle. K, Hemiosus multimaculatus (Jensen-Haarup, 1910), spiracular chamber, third-instar larva, ventral view.

Figure 13 in REVIEW Going underwater: multiple origins and functional morphology of piercing-sucking feeding and tracheal system adaptations in water scavenger beetle larvae (Coleoptera: Hydrophiloidea)

Figure 13. Summary of the main structures related with metapneustic respiratory system. A, Tropisternus latus (Brullé, 1837), spiracular chamber, first-instar larva, light microscope photograph, dorsal view. B, Helochares ventricosus Bruch, 1915, spiracular chamber, first-instar larva, light microscope photograph, dorsal view. C, Tropisternus latus (Brullé, 1837), spiracular chamber, first-instar larva, light microscope photograph, dorsal view. D, Helochares ventricosus Bruch, 1915, abdominal spiracle, first-instar larva, light microscope photograph, dorsal view. E–H, Tropisternus setiger Germar, 1824, SEM micrograph: E, spiracular chamber, third-instar larva, ventral view; F, detail of the terminal spiracle with dust filter, third-instar larva, ventral view; G, abdominal spiracle, first-instar larva, dorsal view; H, detail of the closed abdominal spiracles, first-instar larva, dorsal view. I, J, Oocyclus iguazu (Oliva 1996) third-instar larva, SEM micrograph: I, spiracular chamber, dorsal view; J, biforous abdominal spiracle, dorsal view. K, Laccobius kunashiricus Shatrovskiy, 1984, spiracular chamber, third-instar larva, SEM micrograph, dorsal view.

Figure 8. Labroclypeal region. A, B in REVIEW Going underwater: multiple origins and functional morphology of piercing-sucking feeding and tracheal system adaptations in water scavenger beetle larvae (Coleoptera: Hydrophiloidea)

Figure 8. Labroclypeal region. A, B, Hybogralius hartmeyeri (Régimbart, 1908), third-instar larva, light microscope photographs, dorsal view: A, labroclypeus; B, left epistomal lobe. C, D, Epimetopus mendeli Fikáček et al. 2011, first-instar larva, SEM micrograph, dorsal view: C, labroclypeus; D, right epistomal lobe. Abbreviations: EpLb, epistomal lobe; NS, nasale. Colours: light blue, frontoclypeal region; green, gFR1, group of sensilla of nasale; violet, gFR2, group of sensilla of epistomal lobe.

opennotspecifiedJun 2015View details →

Fig. 4. A in Identification of Sound-Producing Hydrophilid Beetles (Coleoptera: Hydrophilidae) in Underwater Recordings Using Digital Signal Processing

Fig. 4. A half-second vocalization by Tropisternus blatchleyi from 0–5,000 Hz changed into the frequency domain using the Fast Fourier Transformation. Active call frequency regions are at 1,100 Hz and 4,400 Hz. The first feature for T. blatchleyi divides the sum of the points in the active frequency band by the sum of the points in the inactive band, yielding a large number in T. blatchleyi exemplar calls.

opennotspecifiedJun 2015View details →

Fig. 3 in Identification of Sound-Producing Hydrophilid Beetles (Coleoptera: Hydrophilidae) in Underwater Recordings Using Digital Signal Processing

Fig. 3. The classifier algorithm with two features shown in a two-dimensional graph. Beetle call data and noise data are classified based on two beetle call features: difference in active frequency range shape (x-axis and in Matlab™ as a template) and a ratio of amplitudes in an active and non-active frequency range (y-axis). The algorithm is shown as a solid black line. Most beetle calls fall within the correct classification in the lower left-hand corner, however, some fall outside the equation and are classified as noise. Likewise, noises are occasionally classified as beetles. As more features are added, the algorithm becomes multidimensional.

opennotspecifiedJun 2015View details →

Fig. 2 in Identification of Sound-Producing Hydrophilid Beetles (Coleoptera: Hydrophilidae) in Underwater Recordings Using Digital Signal Processing

Fig. 2. Five distress calls by Berosus pantherinus transformed into the frequency domain using the fast fourier transformation from 0–12,000 Hz (x-axis). Wide active frequency bands can be seen from 1,500–6,000 Hz and 7,000–9,500 Hz. The feature for distress calls is the sum of the data points between 1,000–6,000 Hz with an amplitude (y-axis) greater than 2.

dryad32/100

Mediterranean underwater fish visual census surveys data

The positive effect of fully protected Marine Protected Areas (MPAs) on marine biodiversity, specifically on fishes, has been widely documented. In contrast, the potential of MPAs to mitigate the impact of adverse climatic conditions has seldom been investigated. Here, we assessed the effectiveness of MPAs, quantified as increasing fish biomass, across wide geographic and environmental gradients across the Mediterranean Sea. We performed underwater visual surveys within and outside MPAs to characterize fish assemblages in 52 rocky reef sites across an extent of over 3,300 km. We used the steep spatial temperature gradient across the Mediterranean as a 'space-for-time' substitution to infer climate-driven temporal changes. We found that, as expected, Mediterranean MPAs increased fish biomass. At the same time, higher seawater temperatures are associated with decreased fish biomass, changes in species composition, and shifts towards more thermophilic species. Importantly, we found that the rate of decrease in fish biomass with temperature was similar between protected and fished sites. Taken together, these results suggest that the capacity of MPAs to harbor higher fish biomass, compared to surrounding areas, is maintained across a broad temperature range. At the same time, MPAs will not be able to offset larger-scale biotic alterations associated with climate change. Policy implications: Our results suggest that sustained warming will likely reduce fish biomass in the Mediterranean Sea and shift community structure, requiring more conservative targets for fishery regulations. At the same time, protection from fishing will remain an important management tool even with future high-water temperatures, and MPAs are expected to continue to provide local-scale benefits to conservation and fisheries.

opencc-zeroDec 2022View details →

opencc-by-4.0Mar 2023View details →

Underwater Curtains Route Analysis

This dataset contains the results of the route analysis presented in Wolovick et al., 2023.  There are four curtain routes discussed in the paper:  T2, T3, IB, and OB.  T2, T3, and IB can be grouped together into a combined proximal route.  We include two spreadsheets, CurtainRoutes.xlsx and CurtainStats.xlsx.  Each file contains four sheets, one for each route.  The Routes file contains the coordinates and bathymetry of the curtain routes, while the Stats file contains statistical summaries (including cost and benefit functions described in the paper) for each route as a function of target blocking depth. Contents of the route file: 1) X/Y coordinates of the curtain route, given in the standard Antarctic stereographic projection (origin at the South Pole, latitude of true scale at 71S, Y-axis aligned with prime meridian). 2) Depth of the seabed along the route at the same set of points. 3) Data quality at the same set of points (a number from 0-1 indicating the relative weight of nearby multibeam data in computing the depth data).    Contents of the stats file: 1) Blocking depth.  Vector of potential blocking depths, from 200m to 700m.  All other stats are functions of the blocking depth. 2) Curtain length (km).  Unweighted length of curtain required for each blocking depth. 3) Mean sea depth (m).  Mean seabed depth for curtain route segments deeper than the blocking depth. 4) Mean height (m).  Mean height above the seabed for the curtain route. 5) Max height (m) Maximum height above the seabed for the curtain route. 6) Data quality (fraction MB).  Mean bathymetric quality for seabed below the blocking depth along the curtain route.  Number from 0-1 indicating relative weight of nearby multibeam data. 7) Curtain height cost function term.  C_H in the manuscript; units= weighted km. 8) Foundation depth cost function term.  C_D in the manuscript; units=weighted km. 9) Iceberg cost function term.  C_B in the manuscript; units=weighted km. 10) Combined cost function.  C in the manuscript, weighted sum of columns 7-9 (weights = 0.5, 0.25, 0.25). 11) Thermal forcing (deg C).  Thermal forcing at target blocking depth. 12) Thermal forcing reduction (deg C).  Difference between (11) and TF at 700m (except for OB, which has a maximum depth of 680 m). 13) Benefit function.  Column 12 multiplied by a route-specific weight discussed in the manuscript (weights: T2=T3=0.25, IB=1.29, OB=1.88). 14) Value ratio.  Ratio of column 13 over column 10, given in units of deg C per 100 km.  Note that a stabilizer of 1 km has been added to the denominator when computing the ratio.

opencc-by-4.0Mar 2023View details →

Power spectral density estimates of underwater wind and rain noise from the northeast Pacific continental margin

Power spectral density (PSD) estimates of of underwater wind and rain noise used in the papers <ul> <li> Schwock, F., & Abadi, S. (2021a). Characterizing underwater noise during rain at the northeast Pacific continental margin. The Journal of the Acoustical Society of America, 149(6), 4579–4595. https://doi.org/10.1121/10.0005440 </li> <li> Schwock, F., & Abadi, S. (2021b). Statistical analysis and modeling of underwater wind noise at the northeast pacific continental margin. The Journal of the Acoustical Society of America, 150(6), 4166–4177. https://doi.org/10.1121/10.0007463 </li> </ul> The PSD estimates were computed using raw data from the Ocean Observatories Initiative (https://ooinet.oceanobservatories.org/). The data and documentation can be downloaded here: https://drive.google.com/drive/u/1/folders/19jvgp_86Ou2zW_GugETP29ZwVK2_GmUb

opencc-by-nc-sa-4.0Oct 2017View details →

Underwater caves sonar data set

Data set collected with an autonomous underwater vehicle testbed in the unstructured environment of an underwater cave complex. The vehicle is equipped with two mechanically scanned imaging sonar sensors to simultaneously map the caves horizontal and vertical surfaces, a Doppler velocity log, two inertial measurement units, a depth sensor, and a vertically mounted camera imaging the sea floor for ground truth validation at specific points. The testbed collected the data in July 2013, guided by a human diver, to sidestep autonomous navigation in a complex environment. For ease of use, the original robot operating system bag files are provided together with a version combining imagery and human-readable text files for processing on other environments. This dataset was described in: Mallios A, Vidal E, Campos R, Carreras M. Underwater caves sonar data set. The International Journal of Robotics Research. 2017;36(12):1247-1251. doi:10.1177/0278364917732838 Web: <a href="https://cirs.udg.edu/caves-dataset/">https://cirs.udg.edu/caves-dataset/</a>

opennotspecifiedOct 2022View details →

Figure 3 in Quantification of underwater calling and foraging activities in the African clawed frog Xenopus laevis

Figure 3. Effects of moonlight intensity, along with lunar cycle, on A) Vocal activity, B) Foraging activity as estimated as the number of animals captured in food baited traps and C) sex ratio of captures (number of males/ total number of individuals), with points for observed values, and 95% confidence interval around the mean estimated from the best model.

opennotspecifiedOct 2022View details →

Figure 2 in Quantification of underwater calling and foraging activities in the African clawed frog Xenopus laevis

Figure 2. Variations of A) Vocal activity, B) Foraging activity as estimated as the number of animals captured in food baited traps and C) sex ratio of captures (number of males/ total number of individuals), during the study period, according to date and lunar cycle with points for observed values, and 95% confidence interval around the mean estimated from the best model.

Underwater EMR vs. Conventional EMR for Large Non-pedunculated Colonic Polyp

ClinicalTrials.gov study NCT03567746. IPD Sharing: NO. Countries: 1. Publications: 1.

Effects of Underwater Ultrasound Therapy on Hand Function and Quality of Life in Patients With Rheumatoid Arthritis

ClinicalTrials.gov study NCT02706028. IPD Sharing: NO. Countries: 1. Publications: 1.

controlledIPD-YESFeb 2026View details →

Clinical Study to Compare Cold Snare Underwater Polypectomy to Cold Snare Conventional Polypectomy for Colon Polyps [COLDWATER Study]

ClinicalTrials.gov study NCT05273697. IPD Sharing: YES. Countries: 1. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →

This Randomized, Single-center Trial Aims to Evaluate the Advantages of Underwater ESD (U-ESD) in Comparison to the Conventional ESD (C-ESD).

ClinicalTrials.gov study NCT07040020. IPD Sharing: UNDECIDED. Countries: 1. Publications: 17.

A Randomized Comparison of UnderwateR Versus Regular Coagulation in Endoscopic Submucosal DissectioN and Third Space Endoscopy

ClinicalTrials.gov study NCT05804266. IPD Sharing: NO. Countries: 1. Publications: 9.

Underwater Resection of Non-pedunculated Colorectal Lesions

ClinicalTrials.gov study NCT02889679. IPD Sharing: NO. Countries: 1. Publications: 3.