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56 results for “rafting”
North Temperate Lakes LTER: High Frequency Meteorological and Dissolved Oxygen Data - Sparkling Lake Raft 1989 - current
The instrumented raft on Sparkling Lake is equipped with a dissolved oxygen and CO2 sensors, a thermistor chain, and meteorological sensors that provide fundamental information on lake thermal structure, weather conditions, evaporation rates, and lake metabolism. Estimating the flux of solutes to and from lakes requires accurate water budgets. Evaporation rates are a critical component of the water budget of lakes. Data from the instrumented raft on Sparkling Lake includes micrometeorological parameters from which evaporation can be calculated. Raft measurements of relative humidity and air temperature (2m height), wind velocity (2m) ,and water temperatures (from thermistors placed throughout the water column at intervals varying from 0.5 to 3m) are combined with measurements of total long-wave and short-wave radiation data from a nearby shore station to determine evaporation by the energy budget technique. Comparable evaporation estimates from mass transfer techniques are calibrated against energy budget estimates to produce a lake-specific mass transfer coefficient for use in estimating evaporation rates. After correcting for flux to or from the atmosphere and vertical mixing within the water column, high frequency measurements of dissolved gases such as carbon dioxide and oxygen can be used to estimate gross primary productivity, respiration, and net ecosystem productivity, the basic components of whole lake metabolism. Other parameters measured include precipitation, wind direction (beginning in 2008), and barometric pressure (beginning in 2008). Sampling Frequency: one minute with hourly and daily averages provided. Number of sites: 1.
North Temperate Lakes LTER: High Frequency Water Temperature Data - Sparkling Lake Raft 1989 - current
The instrumented raft on Sparkling Lake is equipped with a thermistor chain that measures water temperature from depths ranging from the surface to 18m at an interval of 0.5m near the surface to a one-meter interval throughout the rest of the water column. The surface temperature sensor is attached to a float so it's as close to the surface as feasible. Sampling frequency is currently one minute with hourly and daily averages provided. Number of sites: 1
High-marsh epifauna densities within references and ice-rafted sediment deposits, Rowley, MA.
Following a historic bomb cyclone (Winter Storm Grayson) in January of 2018, a large volume of ice-rafted sediment was patchily deposited on the surface of salt marshes in the Great Marsh, MA. In May of 2018, twenty patches of ice-rafted sediments and paired reference sites (i.e., no sediment deposition) were delineated. In May 2018, August 2018, and August 2019, samples were collected to examine how ice-rafted sediments affected vegetation, infauna, and epifauna recovery over time. This specific dataset focuses on epifauna species counts, with the primary species including: Melampus bidentatus, Littorophiloscia vittata, and Orchestia grillus. This dataset is complete and please see our publication (https://doi.org/10.1007/s12237-021-01023-z) for more information.
High-marsh infauna densities within references and ice-rafted sediment deposits, Rowley, MA.
Following a historic bomb cyclone (Winter Storm Grayson) in January of 2018, a large volume of ice-rafted sediment was patchily deposited on the surface of salt marshes in the Great Marsh, MA. In May of 2018, twenty patches of ice-rafted sediments and paired reference sites (i.e., no sediment deposition) were delineated. In May 2018, August 2018, and August 2019, samples were collected to examine how ice-rafted sediments affected vegetation, infauna, and epifauna recovery over time. This specific dataset focuses on infauna species counts, with the primary species including: mites, Manayunkia aestuarina, and Cernosvitotviella immota. This dataset is complete and please see our publication (https://doi.org/10.1007/s12237-021-01023-z) for more information.
Length, width, perimeter, and sediment thickness of ice-rafted sediment deposits, Rowley, MA.
Following a historic bomb cyclone (Winter Storm Grayson) in January of 2018, a large volume of ice-rafted sediment was patchily deposited on the surface of salt marshes in the Great Marsh, MA. In May of 2018, twenty patches of ice-rafted sediments and paired reference sites (i.e., no sediment deposition) were delineated. In May 2018, August 2018, and August 2019, samples were collected to examine how ice-rafted sediments affected vegetation, infauna, and epifauna recovery over time. This specific dataset focuses on the length, width, perimeter, and sediment thickness measurements of each ice-rafted sediment deposit. This dataset is complete and please see our publication (https://doi.org/10.1007/s12237-021-01023-z) for more information.
North Atlantic synthetic tropical cyclone track, intensity, and rainfall dataset from RAFT
<p>The Risk Analysis Framework for Tropical Cyclones (RAFT)'s comprehensive and unified simulation of 40,000 synthetic North Atlantic tropical cyclone (TC) events are presented in this dataset. RAFT meticulously models these events based on large-scale environmental conditions, providing a valuable tool for in-depth TC impact analysis. The dataset encompasses detailed 6-hourly track information, along-track intensity metrics (including maximum wind speed and minimum pressure), the radius of maximum winds, and cumulative precipitation for each event.</p> <p>The primary dataset is encapsulated in a NetCDF4 file, "<a href="../records/10392725/files/RAFT.NA.v20231016.nc?download=1">RAFT.NA.v20231016.nc</a>", which contains a complete array of variables pertinent to the 40,000 synthetic TCs. These variables, detailed in Table 1 of the accompanying paper and summarized below, offer a comprehensive view of each TC event:</p> <ul> <li><strong>Basin ID</strong>: Identifies the basin (1 for North Atlantic)</li> <li><strong>Storm ID</strong>: Unique identification number for each TC, starting from 0</li> <li><strong>Year</strong>: Year of the environmental conditions used for modeling</li> <li><strong>Jday</strong>: Julian day of the year, ranging from 0 to 365</li> <li><strong>Longitude (lon)</strong>: Geographical longitude in degrees</li> <li><strong>Latitude (lat)</strong>: Geographical latitude in degrees</li> <li><strong>Maximum Wind Speed (vmax)</strong>: Measured in knots</li> <li><strong>Minimum Pressure (mslp)</strong>: Measured in hectopascals (hPa)</li> <li><strong>Radius of Maximum Wind (rmax)</strong>: Measured in nautical miles (nmi)</li> </ul> <p>Additionally, the dataset offers individualized accumulated rainfall data for each TC event, stored in NetCDF4 files named according to the convention "modeled_rainfall_ERA5_syn_{i}.h5", where "{i}" is the synthetic storm's ID. "ERA5" signifies the reanalysis input source, and "syn" indicates a synthetic track. This component of the dataset includes the following variables, all measured in total millimeters of precipitation:</p> <ul> <li><strong>Total Accumulated Rainfall (p_accum)</strong></li> <li><strong>Frictional Precipitation Component (p_accum_f)</strong></li> <li><strong>Topographic Precipitation Component (p_accum_h)</strong></li> <li><strong>Shear-related Precipitation Component (p_accum_s)</strong></li> <li><strong>Vortex Stretching Precipitation Component (p_accum_t)</strong></li> </ul> <p>The rainfall dataset is curated to focus on TC events within 600 km of the U.S. coast, reducing the number of rainfall events to 17,010 from the original 40,000, thereby enhancing its relevance and manageability. For user convenience, these events are compressed into grouped archives named "RAFT_accum_rainfall_{index}.tar.gz", where each "{index}" represents the index of the zipfile, containing up to 2,000 files for efficient data retrieval.</p> <p>The accumulated rainfall data is provided on a regular spatial grid, detailed in "<a href="../records/10392725/files/RAFT_rainfall_latlon_grid.h5?download=1">RAFT_rainfall_latlon_grid.h5</a>", which outlines the grid coordinates ('lat' and 'lon').</p> <p>For comprehensive usage guidelines and further insights into this dataset, users are encouraged to refer to the associated paper. This dataset is not only a significant resource for researchers and analysts in the field of meteorology but also serves as a pivotal tool for understanding and predicting the impacts of tropical cyclones.</p> <p> </p> <p><strong>How to cite:</strong></p> <p>Xu, W., Balaguru, K., Judi, D.R. <em>et al.</em> A North Atlantic synthetic tropical cyclone track, intensity, and rainfall dataset. <em>Sci Data</em> <strong>11</strong>, 130 (2024). https://doi.org/10.1038/s41597-024-02952-7</p>
Linked collectors and determiners for: (Appendix 9) Stable oxygen isotope record of Globigerina bulloides, and abundances of Neogloboquadrina pachyderma and ice-rafted debris in sediment core MD99-2331.
Natural history specimen data linked to collectors and determiners held within, "(Appendix 9) Stable oxygen isotope record of Globigerina bulloides, and abundances of Neogloboquadrina pachyderma and ice-rafted debris in sediment core MD99-2331". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/7c8fa7a0-f762-11e1-a439-00145eb45e9a">https://bionomia.net/dataset/7c8fa7a0-f762-11e1-a439-00145eb45e9a</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/7c8fa7a0-f762-11e1-a439-00145eb45e9a">https://gbif.org/dataset/7c8fa7a0-f762-11e1-a439-00145eb45e9a</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: (Appendix 8) Stable oxygen isotope record of Globigerina bulloides, and abundances of Neogloboquadrina pachyderma and ice-rafted debris in sediment core MD99-2339.
Natural history specimen data linked to collectors and determiners held within, "(Appendix 8) Stable oxygen isotope record of Globigerina bulloides, and abundances of Neogloboquadrina pachyderma and ice-rafted debris in sediment core MD99-2339". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/7c8bc98c-f762-11e1-a439-00145eb45e9a">https://bionomia.net/dataset/7c8bc98c-f762-11e1-a439-00145eb45e9a</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/7c8bc98c-f762-11e1-a439-00145eb45e9a">https://gbif.org/dataset/7c8bc98c-f762-11e1-a439-00145eb45e9a</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: (Appendix 5) Stable oxygen isotope record of Globigerina bulloides, and abundances of Neogloboquadrina pachyderma and ice-rafted debris in sediment core MD95-2039.
Natural history specimen data linked to collectors and determiners held within, "(Appendix 5) Stable oxygen isotope record of Globigerina bulloides, and abundances of Neogloboquadrina pachyderma and ice-rafted debris in sediment core MD95-2039". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/7c82cc38-f762-11e1-a439-00145eb45e9a">https://bionomia.net/dataset/7c82cc38-f762-11e1-a439-00145eb45e9a</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/7c82cc38-f762-11e1-a439-00145eb45e9a">https://gbif.org/dataset/7c82cc38-f762-11e1-a439-00145eb45e9a</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: (Appendix 4) Stable oxygen isotope record of Globigerina bulloides and abundances of Neogloboquadrina pachyderma and ice-rafted debris in sediment core MD95-2040.
Natural history specimen data linked to collectors and determiners held within, "(Appendix 4) Stable oxygen isotope record of Globigerina bulloides and abundances of Neogloboquadrina pachyderma and ice-rafted debris in sediment core MD95-2040". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/7c7f09f4-f762-11e1-a439-00145eb45e9a">https://bionomia.net/dataset/7c7f09f4-f762-11e1-a439-00145eb45e9a</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/7c7f09f4-f762-11e1-a439-00145eb45e9a">https://gbif.org/dataset/7c7f09f4-f762-11e1-a439-00145eb45e9a</a>. Formatted as a Frictionless Data package.
Supporting Files: Simultaneous creation of a large vapor plume and pumice raft by the 2021 Fukutoku-Oka-no-Ba shallow submarine eruption
<p>Supporting code and data for 2023 EPSL publication, "Simultaneous creation of a large vapor plume and pumice raft by the 2021 Fukutoku-Oka-no-Ba shallow submarine eruption." The data file FOB_Compiled_Plume_Height_Lighting_Data.zip is redundant with data included in the supplement of the EPSL publication.</p>
CS4 Task 2 – The growth of Gracilaria gracilis on mussel rafts in Saldanha Bay, South Africa
<p>The growth of <em>Gracilaria gracilis</em> grown on mussel rafts, on ropes suspended in the ocean along side ropes stocked with mussel, in Saldanha Bay, South Africa </p>
Catch bond kinetics are instrumental to cohesion of fire ant rafts under load
Open the record for dataset details and reuse information.
Dynamic self-organization in fire ant rafts underpins collective longevity and threat responsiveness
Open the record for dataset details and reuse information.
Data from: Transoceanic dispersal of terrestrial species by debris rafting
Rare, long-distance dispersal events are a key process in generating and maintaining patterns in biological diversity and species distributions across space and time. The 9.0 magnitude earthquake that struck the eastern coast of Japan in 2011, and the subsequent 38 m high tsunami washed large amounts of shoreline debris into the Pacific Ocean that led to a large-scale biological rafting event carrying nearly 300 marine species to the western shores of North America. Whether oceanic, trans-Pacific dispersal via rafting generates long distance dispersal events for small, flightless, terrestrial species is unknown. By sampling beach debris associated with known hot-spots of tsunami debris along the north and east shores of Graham Island, Haida Gwaii, Canada, I document significantly dissimilar invertebrate communities associated with tide-line beach debris and the occurrence of several putative Japanese species of soil-dwelling mites (Acari: Oribatida). Previous explanations of Haida Gwaii's unique flora and fauna have been attributed to a proximity to the Beringian land bridge and the accumulated evidence of near-offshore glacial refugia during the last glacial period. However, my research also suggests that stochastic, trans-Pacific rafting events contribute to the biodiversity and biogeography of soil communities on the west coast of North America.
Computational exploration of treadmilling and protrusion growth observed in fire ant rafts
<p><span>Condensed active matter systems regularly achieve cooperative emergent functions that individual constituents could not accomplish alone. The rafts of fire ants (<em>Solenopsis invicta</em>) are often studied in this context for their ability to create structures comprised entirely of their own bodies, including tether-like protrusions that facilitate exploration of flooded environments. While similar protrusions are observed in cytoskeletons and cellular aggregates, they are generally dependent on morphogens or external gradients leaving the isolated role of local interactions poorly understood. Here we demonstrate through an ant-inspired, agent-based numerical model how protrusions in ant rafts may emerge spontaneously due to local interactions and how phases of exploratory protrusion growth may be induced by increased ant activity. These results provide an example in which functional morphogenesis of condensed active matter may emerge purely from locally-driven collective motion and may provide a source of inspiration for the development of autonomous active matter and swarm robotics.</span></p>
Southern Hemisphere coasts are biologically connected by frequent, long-distance rafting events
<p>Globally, species distributions are shifting in response to environmental change, and those that cannot disperse risk extinction. Many taxa, including marine species, are showing poleward range shifts as the climate warms. In the Southern Hemisphere, however, circumpolar oceanic fronts can present formidable barriers to dispersal<sup>4</sup>. Although passive, southward movement of species across this barrier has been considered unlikely, the recent discovery of buoyant kelp rafts on beaches in Antarctica demonstrates that such journeys are possible. Rafting is a key process by which diverse taxa – including terrestrial and coastal marine species – can cross oceans. Kelp rafts can carry passengers, and thus can act as vectors for long-distance dispersal of coastal organisms. The small numbers of kelp rafts previously found in Antarctica do not, however, shed much light on the frequency of such dispersal events. We here use a combination of high-resolution phylogenomic analyses (>220,000 SNPs) and oceanographic modelling to show that long-distance biological dispersal events in the Southern Ocean are not rare. We document tens of kelp (<em>Durvillaea antarctica</em>) rafting events of thousands of kilometres each, over several decades (1950 – 2019), with many kelp rafts apparently still reproductively viable. Modelling of dispersal trajectories from genomically-inferred source locations shows that some distant landmasses are particularly well connected, for example South Georgia and New Zealand, and the Kerguelen Islands and Tasmania. Our findings illustrate the power of genomic approaches to track, and modelling to show frequencies, of long-distance dispersal events.</p> <p> </p>
Figure 1. Adult male Peckhamia americana rafting a leaf across a in Rafting by Peckhamia americana (Araneae: Salticidae: Synagelina)
Figure 1. Adult male Peckhamia americana rafting a leaf across a water surface by paddling with its front legs while holding that leaf with its rear legs. The grey area in each photo (out of focus) represents the bottom of the shallow pan in which this spider and leaf were floating. Photos by G. Beaton.
Piano Raft
Photogrammetry test using mobile phone. Piano Raft been built over the 9 years and it travels the canals at the North of England. Source: Objaverse 1.0 / Sketchfab
Supplementary Tables for "A 3.3-Million-Year Record of Antarctic Iceberg Rafted Debris and Ice Sheet Evolution Quantified by Machine Learning"
<p>Supplementary Tables for "A 3.3-Million-Year Record of Antarctic Iceberg Rafted Debris and Ice Sheet Evolution Quantified by Machine Learning"</p> <p> </p> <p><strong>Table Captions:</strong></p> <p><strong>Table S1.</strong> Site U1537 Age Model Tie Points from Weber et al. (2022) and Reilly et al. (2021)</p> <p><strong>Table S2. </strong>Site U1537 Age Model used in this study, applying both the age tie points from Weber et al. (2022) and Reilly et al. (2021)</p> <p><strong>Table S3. </strong>Hole U1538A correlation to the Dove Basin Stack from Bailey et al. (2022), and the addition of the U1538 splice CCSF-A depth to the Dove Basin CCSF-A</p> <p><strong>Table S4. </strong>Site U1538 splice table used in this study, note the continuation down Hole A after Core 14H</p> <p><strong>Table S5. </strong>New top core section offsets for Site U1536 cores added to the Reilly et al. (2021) extended splice table</p> <p><strong>Table S6. </strong>New top core section offsets for Site U1537 cores added to Reilly et al. (2021) extended splice table</p> <p><strong>Table S7. </strong>Comparison of Convolutional Neural Network IRD counts to shipboard eye counts of IRD at Site U1536</p> <p><strong>Table S8. </strong>Site U1537 CNN IRD Counts per 50 cm bins</p> <p><strong>Table S9. </strong>Site U1536 IRD Fluxes Per 5 kyr Quantified by a Convolutional Neural Network (0-3.3 Ma)</p> <p><strong>Table S10. </strong>Site U1537 IRD Fluxes Per 5 kyr Quantified by a Convolutional Neural Network (0-3.3 Ma)</p> <p><strong>Table S11. </strong>Site U1536 IRD Fluxes Per 1 kyr Quantified by a Convolutional Neural Network (0-1.2 Ma)</p> <p><strong>Table S12. </strong>Site U1537 IRD Fluxes Per 1 kyr Quantified by a Convolutional Neural Network (0-1.2 Ma)</p> <p><strong>Table S13. </strong>Site U1538 IRD Fluxes Per 1 kyr Quantified by a Convolutional Neural Network (0-1.2 Ma)</p>
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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)
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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.