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82 results for “seafloor”

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zenodo36/100

Supplemental Dataset: Seismological evidence for girdled olivine lattice-preferred orientation in oceanic lithosphere and implications for mantle deformation processes during seafloor spreading

<p>This repository contains supplementary datasets for the manuscript titled &quot;Seismological evidence for girdled olivine lattice-preferred orientation in oceanic lithosphere and implications for mantle deformation processes during seafloor spreading&quot;, published in G-Cubed. All files are Microsoft Excel tables containing&nbsp;olivine fabric data.</p> <p>ds01_strain_data_ol60.xlsx:&nbsp;Anisotropy magnitude and fast directions for sample data shown in Figure 3 of the main text, assuming 60% olivine and 40% pyroxene (see methods for details).</p> <p>ds02_strain_data_ol100.xlsx: Anisotropy magnitude and fast directions for sample data shown in Figure 3 of the main text, assuming pure olivine.</p> <p>ds03_fabric_data_ol75.xlsx:&nbsp;Anisotropy fabric data shown in Figure 5 of the main text, assuming 75% olvine and 25% pyroxene (see methods for details).</p> <p>ds04_fabric_data_ol100.xlsx: Anisotropy fabric data shown in Figure 5 of the main text, assuming pure olivine.</p> <p>&nbsp;</p>

opencc-by-4.0Sep 2022View details →
zenodo36/100

Data and Code for Atmospheric oxygen abundance, marine nutrient availability, and organic carbon fluxes to the seafloor

<p>Code and Data for manuscript &quot;<strong>Atmospheric oxygen abundance, marine nutrient availability, and organic carbon fluxes to the seafloor&quot;</strong></p>

opencc-by-4.0Apr 2021View details →
zenodo36/100

Supplementary material: Accuracy of finite fault slip estimates in subduction zone regions with topographic Green's functions and seafloor geodesy

<p># Code attached to the manuscript entitled &quot;Accuracy of finite fault slip estimates in subduction zone regions with topographic Green&#39;s functions and seafloor geodesy&quot;</p> <p>These python scripts are for producing Figure 1 (trench-perpendicular topographic profile for regions where some megathrust earthquakes occurred) and the average topographic profile that is used in the paper.</p> <p>&nbsp;</p>

opencc-by-4.0May 2023View details →
dryad36/100

Ocean alkalinity destruction by anthropogenic seafloor disturbances generates a hidden CO2 emission

Open the record for dataset details and reuse information.

publicMar 2025View details →
dryad36/100

Predator-prey overlap in three dimensions: cod benefit from capelin coming near the seafloor

Open the record for dataset details and reuse information.

publicJan 2021View details →
dryad36/100

Decadal seafloor geodesy constrains frictionally locked areas along the Nankai Trough

Open the record for dataset details and reuse information.

publicAug 2025View details →
dryad36/100

Seafloor primary production in a changing Arctic Ocean

Open the record for dataset details and reuse information.

publicFeb 2025View details →
dryad32/100

Data from: Seafloor microplastic hotspots controlled by deep-sea circulation

<p>While microplastics are known to pervade the global seafloor, the processes that control their dispersal and concentration in the deep sea remain largely unknown. Here we show that thermohaline-driven currents, which build extensive seafloor sediment accumulations, can control the distribution of microplastics and create hotspots of up to 1.9 million pieces m^2. This is the highest reported value for any seafloor setting, globally. Previous studies propose that microplastics are transported to the seafloor by vertical settling from surface accumulations; instead we demonstrate that the spatial distribution and ultimate fate of microplastics is strongly controlled by near-bed thermohaline currents (bottom currents). These currents are known to supply oxygen and nutrients to deep sea benthos suggesting that deep sea biodiversity hotspots are also likely to be microplastic hotspots.</p>

opencc-zeroApr 2020View details →
dryad32/100

Data from: Template for using biological trait groupings when exploring large-scale variation in seafloor multifunctionality

Understanding large-scale spatial variation in ecosystem properties and associated functionality is key for successful conservation of ecosystems. This study provides a template for how to estimate differences in ecosystem functionality over large spatial scales by using groupings of biological traits. We focus on trait groupings that describe three important benthic ecosystem properties, namely bioturbation, community stability and juvenile dispersal. Recognizing that groups of traits interact and are constrained within an organism, we statistically define important functional trait subgroups that describe each ecosystem property. The sub-groups are scored according to their weighted ecological impact to gain an overall estimation of the cumulative expression of each ecosystem property at individual sites. Furthermore, by assigning each property a value relative to its observed maximum, and by summing up the individual property values, we offer an estimate of benthic ecosystem multifunctionality. Based on a spatially extensive benthic data set, we were able to identify coastal areas with high and low potential for the considered benthic ecosystem properties and the measure of ecosystem multifunctionality. Importantly, we show that a large part of the spatial variation in functional trait sub-groups and in benthic ecosystem multifunctionality was explained by environmental change. Our results indicate that through this simplification it is possible to estimate the functionality of the seafloor. Such information is vital in marine spatial planning efforts striving to balance the utilization with the preservation of natural resources.

opencc-zeroDec 2016View details →
zenodo32/100

FIGURE 8 in Speleonectes kakuki, a new species of Remipedia (Crustacea) from anchialine and sub-seafloor caves on Andros and Cat Island, Bahamas

FIGURE 8. Salinity, temperature, dissolved oxygen, and pH water column profiles from Stargate Blue Hole, South Andros, Bahamas, taken on 20 August 1997 with an YSI Model 600XLM multi-parameter water quality monitor. Squares represent individual data points.

opennotspecifiedDec 2009View details →
zenodo32/100

FIGURE 7 in Speleonectes kakuki, a new species of Remipedia (Crustacea) from anchialine and sub-seafloor caves on Andros and Cat Island, Bahamas

FIGURE 7. The Guardian Blue Hole cave system, North Andros Island, Bahamas. Question marks indicate unknown cave sections; all distances in feet. Modified from unpublished original map by Brian Kakuk, adopted by Kornicker et al. (2007).

opennotspecifiedDec 2009View details →
zenodo32/100

FIGURE 6 in Speleonectes kakuki, a new species of Remipedia (Crustacea) from anchialine and sub-seafloor caves on Andros and Cat Island, Bahamas

FIGURE 6. Collection localities of S. kakuki n. sp. The thin gray line demarcates the area of the Great Bahama Bank. Map (modified) with kind permission of Demis (www.demis.nl).

opennotspecifiedDec 2009View details →
zenodo32/100

FIGURE 2. Speleonectes kakuki n in Speleonectes kakuki, a new species of Remipedia (Crustacea) from anchialine and sub-seafloor caves on Andros and Cat Island, Bahamas

FIGURE 2. Speleonectes kakuki n. sp. Morphological variation of head shields (A–C), and sternal bars (D). A, paratype 1 (BH-330, North Andros), scale bar = 1 mm. B, paratype 8 (04-021.4, Cat Island). C, holotype (BH-321, North Andros). D, sternal bars of paratype 8 (04-021.4), scale bar = 0.3 mm. Numbers indicate individual trunk segments, from anterior to posterior; scale bar B, C = 1 mm.

opennotspecifiedDec 2009View details →
zenodo32/100

FIGURE 1. Speleonectes kakuki n in Speleonectes kakuki, a new species of Remipedia (Crustacea) from anchialine and sub-seafloor caves on Andros and Cat Island, Bahamas

FIGURE 1. Speleonectes kakuki n. sp. Dorsal view of holotype BH-321 (North Andros); limbs of trunk segment 10 used for DNA analyses; right limb of trunk segment 19 lost. Photo by A. Bloechl.

opennotspecifiedDec 2009View details →
zenodo32/100

FIGURE 5. Speleonectes kakuki n in Speleonectes kakuki, a new species of Remipedia (Crustacea) from anchialine and sub-seafloor caves on Andros and Cat Island, Bahamas

FIGURE 5. Speleonectes kakuki n. sp.; A, B, D, x, y = paratype BH-330; C = paratype 04-021.4. A, trunk appendages of segment 1. B, trunk appendages of segment 14, with enlarged short seta of segment 2 (x) and segment 3 (y) of endopod. C, ventral view of anal segment and adjacent trunk segment; scale bar = 0.5 mm. D, ventral view of anal segment; scale bar = 0.5 mm. Scale bars: A, B = 0.5 mm; x, y = 0.1 mm.

opennotspecifiedDec 2009View details →
zenodo32/100

FIGURE 4. Speleonectes kakuki n in Speleonectes kakuki, a new species of Remipedia (Crustacea) from anchialine and sub-seafloor caves on Andros and Cat Island, Bahamas

FIGURE 4. Speleonectes kakuki n. sp.; paratype BH-330 (North Andros). A, maxillule. B, maxilla. C, maxilliped. D, endite, segment 1 of maxillule. E, short serrated seta, segment 2 of maxillule. F, stout serrated seta, segment 4 of maxillule. G, claw of maxilla. Scale bars: A–C = 0.5 mm; D–G = 0.1 mm.

opennotspecifiedDec 2009View details →
zenodo32/100

FIGURE 3. Speleonectes kakuki n in Speleonectes kakuki, a new species of Remipedia (Crustacea) from anchialine and sub-seafloor caves on Andros and Cat Island, Bahamas

FIGURE 3. Speleonectes kakuki n. sp.; paratype BH-330 (North Andros). A, antennule. B, antenna; scale bar = 0.5 mm. C, right mandible; scale bar = 0.2 mm. D, lacinia mobilis (left) and incisor process (right) of left mandible. E, lacinia mobilis (left) and incisor process (right) of right mandible. F, frontal filament. G, labrum. Scale bar D–G = 0.1 mm.

opennotspecifiedDec 2009View details →
zenodo32/100

Seafloor roughness reduces melting of the East Antarctic ice sheets

<p>MITgcm model setup and<span>&nbsp; </span>MATLAB script and data that support figures for "<strong>Seafloor roughness reduces melting of East Antarctic ice shelves</strong>" by Y. Liu, M. Nikurashin, and B. Pena-Molino</p> <p><strong>MITgcm model setup: </strong></p> <p>We provide the two MITgcm model configurations of the Denman regional model, using BedMachine and SRTM15+ bathymetry datasets, described in the main text of the paper. Both simulations can be run from a pickup file corresponding to 5 years from the beginning of the simulation, when the model is well equilibrated. Complete model outputs used for the analysis in the paper can be produced by running the simulations for additional 5 years.</p> <p>(Contents)</p> <ul> <li><strong><em>denman_0025_RYF_SHI_tides_bedmachine.zip</em></strong> (code, parameter files, and initial and boundary conditions to run the simulation with BedMachine bathymetry)</li> <li><strong><em>denman_0025_RYF_SHI_tides_srtm15.zip</em></strong> (code, parameter files, and initial and boundary conditions to run the simulation with SRTM15+ bathymetry)</li> <li><strong><em>denman_external_forcing_files.zip</em></strong> (3-hourly atmospheric forcing files that are used for both simulations take nearly 100Gb of disk space. Due to Zenodo size limit of 50GB, we provide the original JRA-55 forcing files and a Matlab script that interpolates them onto the regional model grid.)</li> </ul> <p>(How to build and run)</p> <p>The reader is referred to MITgcm documentation for instructions on how to download, compile and run the model: https://mitgcm.readthedocs.io/en/latest/getting_started/getting_started.html</p> <p><strong>MATLAB script and data:</strong></p> <ul> <li><strong><em>data &amp; script.zip</em></strong> includes the raw data saved in Matlab data format and the script to create the figures in the paper. Please download all files into a folder and run the script.m under MATLAB.</li> </ul>

opencc-by-4.0Mar 2024View details →
zenodo32/100

Repository: No Magmatic Driving Force for Europan Seafloor Volcanism

<p>Included are the data and the source par files for the manuscript "No Magmatic Driving Force for Seafloor Volcanism" by Green et al. (in press).&nbsp; Par files show input parameters for each model included in the main results. Also included are all generated .dat files, named to match their corresponding par file.</p>

opencc-by-4.0Mar 2024View details →
zenodo32/100

FIGURE 7 in Two new species of Paramphimonhystrella (Nematoda, Monhysterida, Xyalidae) from the deep-sea sediments in the Western Pacific Ocean and adjacent shelf seafloor

FIGURE 7. Pictorial key to seven known species of Paramphimonhystrella. Paramphimonhystrella minor, P. sinica and P. elegans from Huang &amp; Zhang (2006); P. scutula, P. echinocauda, P. barbula and P. glossalga from Leduc (2014).

opennotspecifiedNov 2017View details →

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Allen Brain Atlas

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allen-brain-atlas
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Last verified 2026-04-30Open record

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abode-home-cage
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DANDI Archive for NWB datasets

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dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
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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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record