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243 results for “Coastal area”
SBC LTER: Daily averages of modeled significant wave height (Hs) and peak wave period (Tp) in the Santa Barbara Coastal area from the Coastal Data Information Program - Monitoring and Prediction System (CDIP MOP)
From http://cdip.ucsb.edu: The Coastal Data Information Program (CDIP) is a research group at Scripps Institution of Oceanography that monitors coastal waves and nearshore sand levels on regional scales. CDIP maintains a network of optimally-placed, directional wave buoys from San Diego to Eureka. The buoy measurements are used to initialize a high spatial resolution (100m x 100m) linear spectral wave propagation model. The resulting hourly hindcasts and nowcasts of CA coastal wave conditions have a level of accuracy that is not possible with more traditional wind-wave generation models that are initialized with modeled wind fields.
SIA-BRA: The carbon and nitrogen stable isotope ratios of animals of Brazilian biomes and coastal marine areas
<p>SIA-BRA is a compilation of C and N stable isotope ratios of terrestrial and aquatic animals sampled in Brazilian biomes and coastal-marine areas.</p> <p>Version 1.0 contains isotopic data of c. 21,804 non-captive wildlife specimens, excluding livestock production or laboratory<br> experiments. They were 13,881 vertebrates and 7,923 invertebrates. There are 11 phyla, with a clear dominance of Chordata (64%) and Arthropoda (29%), 36 classes, 154 orders, 473 families, 894 genera and 1,157 species.</p> <p>They were divided into the following habitats: terrestrial (30% of the total), freshwater (27%), oceanic (40%)<br> and estuarine (4%) (see <a href="https://doi.org/10.1111/geb.13449">https://doi.org/10.1111/geb.13449</a>)</p> <p>Software format: Data are supplied as delimited text files (.csv).</p>
Great Britain coastal areas
<p>Geographic areas in Great Britain that can be considered to be coastal.</p> <p>Datasets include:</p> <ul> <li>England/Wales LSOA</li> <li>England/Wales MSOA</li> <li>England/Wales/Scotland Local Authorities</li> <li>England/Wales/Scotland counties</li> <li>England/Wales parishes</li> <li>Scottish Data Zones</li> </ul> <p>This dataset was created using <a href="https://zenodo.org/record/7985671">existing coastline data</a> and <a href="https://gitlab.com/then-try-this/climate-tool/-/blob/f78c6b21b2350758a78ed50a4ba9408ab044aaed/data/builder/coastal.py">script</a> to calculate which zones are within 50m of the coastline. The boundary datasets used can be found under the <a href="https://gitlab.com/then-try-this/climate-tool/-/blob/main/docs/sources.md">'boundaries' section here</a>.</p>
Organic and inorganic data for soil cores from Brazil and Florida Bay seagrasses to support Howard et al 2018, CO2 released by carbonate sediment production in some coastal areas may offset the benefits of seagrass “Blue Carbon” storage, Limnology and Oceanography, DOI: 10.1002/lno.10621
Using piston corers, soils from Florida Bay and Brazilian seagrass meadows were collected to complete organic and inorganic carbon inventories for the top 1 m of soil. Instrumental analyses and loss on ignition at 500C were used to measure C content of downcore slices.
Emilia-Romagna coastal area NBS (OAL ITALY) for storm surge mitigation
<p>Within the framework of the OPEn-air laboRAtories for Nature baseD solUtions to Manage environmental risks (OPERANDUM) project, the seagrass NBS is presented within a simulation design methodology consisting of the comparison between validated wave numerical simulations for the present/ future climate, and modified wave simulations with marine seagrass. Ten years of WWIII simulations have been executed to generate the wave climatology, particularly over the Emilia-Romagna coastal strip for the present (2010-19) and future climate (2040-49) using MedCordex winds (based on RCP8.5). The WWIII model was modified to include a modified bottom dissipation stress due to submerged vegetation, thereby incorporating the NBS4 as a potential mechanism for wave amplitude reduction. The seagrass species <em>‘Zostera marina’</em> was chosen in this study and an along-shore seagrass belt was first inserted in WWIII and sensitivity experiments were carried out to assess the effects of different types of seagrass landscape designs in the Bellocchio beach. Simulation experiments with and without seagrass (NBS4) were carried out for the present and future climates. Based on the present and future climate simulations, it is noted that the seagrass landscaping is an important aspect in the numerical modelling of vegetation. A combination of broken vegetation stripes and clusters were seen to be effective in reduction of wave energy at the coast in comparison to other landscape designs. The wave height comparisons in the Bellocchio beach, with and without vegetation showed a considerable reduction in wave heights specifically in the higher ranges for both the present and future climates. There exists a strong seasonality in the attenuation rates along the coastal belt with higher attenuations during winter and comparatively lower in summer. In comparison to the present climate, a slightly increased rate of mean attenuation is expected in the future scenarios. Overall, the Zostera Marina seagrass applied for the Emilia-Romagna coastal belt was found to be efficient in reduction of wave energy (> 50%). The limitation being that the experiments were done with rigid seagrass and in the future, we look for advanced parameterization using flexible seagrass.</p> <p>This dataset contains wave model outputs for the OAL-ITALY, mainly:</p> <ul> <li>Bathymetry of the model domain, Spatial maps of mean significant wave height (Hs in m) for present (2010-19) and future climate (2040-49), Seagrass belt position in the Bellocchio beach, Time-series comparison of Hs, with & without vegetation, and Wave attenuation maps.</li> </ul> <ul> <li>Selected locations (station map) for the time series in the Emilia-Romagna coastal belt during the period 2010-19, and 2040-49 (8 stations), Selected locations (station map) in the Emilia-Romagna coastal belt for the time series comparison (with and without vegetation) during the period 2010-19, and 2040-49 (5 stations).</li> </ul> <ul> <li>WW3 time series of wave parameters (wave height, peak period, & direction) for 8 stations in the Emilia-Romagna coastal belt (2010-19, present climate).</li> <li>WW3 time series of significant wave height (Hs in metres) with and without vegetation for 5 stations in the Emilia-Romagna coastal belt (2010-19, present climate).</li> <li>WW3 time series of wave parameters (wave height, peak period, & direction) for 8 stations in the Emilia-Romagna coastal belt (2040-49, future climate).</li> <li>WW3 time series of significant wave height (Hs in metres) with and without vegetation for 5 stations in the Emilia-Romagna coastal belt (2040-49, future climate).</li> </ul>
Geochemical data of bottom sediments from a network of drainage canals located in the low-lying coastal area of Ravenna, Italy.
<p>This dataset contains all raw geochemical data of bottom sediments from a network of drainage canals located in the low-lying coastal area of Ravenna. The dataset is divided in three separated excel worksheets: </p> <p>- <strong>Focus Area</strong>. Sediment composition of the 21 sediment samples collected in 2022 in the Focus Area. Refer to Figs. 1 and 2 in the manuscript Giambastiani et al., 2024 for the sample locations. Listed are also other information related to sampling, such as depositional facies (BR: beach ridge deposits; IF: Interfluvial floodplain deposits), distance from the sea, altimetry, amount of fertilizer applied based on the land use, and EC of drainage water. <br>The sediment samples were collected in March 2022 along the drainage system of the lowlying coastal aquifer of Ravenna (Italy) by the authors.</p> <p>- <strong>LRC, Land Reclamation Consortium</strong>. PTEs composition of the sediment samples of the Land Reclamation Consortium dataset. Refer to Fig. 1 and 2 in the manuscript Giambastiani et al., 2024 for the location. Listed are also other information related to sampling, such as distance from the sea, altimetry, and amount of fertilizer applied based on the land use. <br>The sediment samples were collected since 2010 along the drainage system of the lowlying coastal aquifer of Ravenna (Italy) by The Land Reclamation Consortium of Romagna (Italy). No other uses apart from scientific purpose is allowed without notice to the authors.</p> <p>- <strong>Wells</strong>. Physical and chemical groundwater parameters of 4 wells localted within the Focus Area. Refer to Fig.2 in the manuscript Giambastiani et al., 2024 for the location. <br>Data were collected during previous studies by Greggio et al. (2020) and reprocessed to obtain vertical profiles of EC, pH, Eh, and chemical concentrations along the coastal aquifer depth.</p> <p>More informations regarding the source, ownership, collection methodologies and analytical techniques are in Giambastiani et al., 2024.</p>
SBC LTER: Land: NCDC stations in Santa Barbara Coastal LTER study area
These data describe several surface stations sampled by the National Climatic Data Center (NCDC, http://ncdc.noaa.gov). Sampled parameters may include: daily precipitation, minimum daily temperature,maximum daily temperature, mean daily dew-point temperature, mean daily station pressure, mean daily resultant wind direction, and mean daily resultant wind speed. These stations were selected to represent the climate of the SBC LTER study area based on station elevation and spatial distribution within the study region. The stations provide a relatively long period of record (beginning in 1927), and are still active. Data are available using the NCDC link.
SBC LTER: Land: Stream chemistry in the Santa Barbara Coastal drainage area, 2000 -2018
This data package contains stream water chemistry measurements taken in Santa Barbara area watersheds, between 2000 and 2018. We do not plan to update this dataset after 2018 because the watershed component of the research within SBCLTER was terminated. Stream water samples were collected weekly during non-storm flows in winter, and bi-weekly during summer. During winter storms, samples were collected hourly (rising limb) or at 2-4 hour intervals (falling limb). Analytes sampled in the SBC LTER watersheds included dissolved nitrogen (nitrate, ammonium, total dissolved nitrogen); soluble reactive phosphorus (SRP); particulate organic carbon, nitrogen and phosphorus; total suspended sediments; and conductivity. There were two tables in this dataset. Samples from "registered stations" (see geographic coverage) were in the first data table (see table name). Many other samples had been collected ad hoc, or as "stations of opportunity". These had been collected in a second table, designated "non-registered". The station codes for these samples may have been reused, and were not recorded in metadata (but station codes can be found in data).
Figure 9 in Two new species of eyeless amphipods from a coastal area in Japan (Crustacea: Amphipoda: Hadziidae, Melitidae), with reinstatement of the genus Paraniphargus Tattersall, 1925
Figure 9. Paraniphargus shiosai sp. nov. (a–c, e–g) holotype, male (OMNH-Ar-9986), 1.7 mm; (d, h) paratype, male (OMNH-Ar-9987), 1.9 mm; (i–k) paratype, female (OMNH-Ar-9989), 1.8 mm. (a) Right pleopod 1, lateral view; (b) left pleopod 2, posterior view; (c) left pleopod 3, anterior view; (d) left uropod 1, dorsolateral view; (e, f) right uropods 2–3, dorsal views; (g) telson, lateral view; (h) telson, dorsal view; (i, j) left gnathopods 1–2, lateral views; (k) left coxa 6, lateral view, gill omitted. Scale: d– h, 0.125 mm; a–c, i–k, 0.10 mm.
Figure 8 in Two new species of eyeless amphipods from a coastal area in Japan (Crustacea: Amphipoda: Hadziidae, Melitidae), with reinstatement of the genus Paraniphargus Tattersall, 1925
Figure 8. Paraniphargus shiosai sp. nov. Holotype, male (OMNH-Ar-9986), 1.7 mm. (a, b) Left gnathopods 1–2, lateral views; (c) left pereopod 3, lateral view; (d) right pereopod 4, lateral view; (e–g), right pereopods 5–7, lateral views; (g1), left coxa 7, lateral view.
Figure 6 in Two new species of eyeless amphipods from a coastal area in Japan (Crustacea: Amphipoda: Hadziidae, Melitidae), with reinstatement of the genus Paraniphargus Tattersall, 1925
Figure 6. Paraniphargus shiosai sp. nov. Holotype, male (OMNH-Ar-9986), 1.7 mm. Habitus, lateral view. Scale: whole body, 0.25 mm; magnified parts, 0.08 mm.
Figure 4 in Two new species of eyeless amphipods from a coastal area in Japan (Crustacea: Amphipoda: Hadziidae, Melitidae), with reinstatement of the genus Paraniphargus Tattersall, 1925
Figure 4. Dulzura projecta sp. nov. All but (e), holotype, male (OMNH-Ar-9974), 6.6 mm; (e) paratype, male (OMNH-Ar-9975), 5.2 mm. (a) Right pleonal epimera 1–3, lateral view; (b) left pleopod 1, anterior view; (c) left pleopod 2, posterior view; (d) left pleopod 3, posterolateral view; (e) left pleopod 3, posterior view; (f) left uropod 1, dorsolateral view; (g) left uropod 2, lateral view; (g1) mediodistal corner of left uropod 2 peduncle, medial view; (h) right uropod 3, dorsal view; (i) telson, dorsal view. Scale: a–d, 0.50 mm; e–i, 0.41 mm, g1, 0.25 mm.
Fig. 11. Grandidierella osakaensis Ariyama, 1996. A, B in Three Species of Grandidierella (Crustacea: Amphipoda: Aoridae) from Coastal Areas of the Tohoku and Kanto-Tokai Districts, East Japan, with the Description of Two New Species
Fig. 11. Grandidierella osakaensis Ariyama, 1996. A, B, female (OMNH-Ar-10298), 6.3 mm; C, male (OMNH-Ar-10301), 7.0 mm; D, paratype, male (OMNH-Ar-3857), 6.1 mm. A, left gnathopod 1, lateral view; A1, distal part of left gnathopod 1, lateral view, normal setae omitted; B, left gnathopod 2, lateral view; B1, distal part of left gnathopod 2, lateral view, normal setae omitted; C, D, ischia–dactyli of left gnathopods 2, lateral views, setae omitted. Scales: 0.2 mm.
Fig. 10. Grandidierella osakaensis Ariyama, 1996 in Three Species of Grandidierella (Crustacea: Amphipoda: Aoridae) from Coastal Areas of the Tohoku and Kanto-Tokai Districts, East Japan, with the Description of Two New Species
Fig. 10. Grandidierella osakaensis Ariyama, 1996. Male (OMNH-Ar-10297), 5.8 mm. A, right antenna 2, lateral view; A1, flagellum of right antenna 2, lateral view, normal setae omitted; B, left gnathopod 1, lateral view; C, left gnathopod 2, lateral view; C1, distal part of left gnathopod 2, lateral view, normal setae omitted; D, left uropod 1, dorsolateral view. Scales: 0.2 mm.
Fig. 3 in Three Species of Grandidierella (Crustacea: Amphipoda: Aoridae) from Coastal Areas of the Tohoku and Kanto-Tokai Districts, East Japan, with the Description of Two New Species
Fig. 3. Grandidierella sanrikuensis sp. nov. Holotype, male (OMNH-Ar-10195), 7.7 mm. Habitus, left lateral view, pleopods lost.
Fig. 7 in Three Species of Grandidierella (Crustacea: Amphipoda: Aoridae) from Coastal Areas of the Tohoku and Kanto-Tokai Districts, East Japan, with the Description of Two New Species
Fig. 7. Grandidierella sanrikuensis sp. nov. A, B, paratype, female (OMNH-Ar-10197), 8.5 mm; C, paratype, male (OMNH-Ar-10196), 6.5 mm; D, paratype, male (OMNH-Ar-10198), 3.8 mm. A, left gnathopod 1, lateral view; A1, distal part of left gnathopod 1, lateral view, normal setae omitted; B, left gnathopod 2, lateral view; B1, distal part of left gnathopod 2, lateral view, normal setae omitted; C, D, meri–dactyli of left gnathopods 2, lateral views, setae omitted. Scales: 0.2 mm.
Fig. 1. Map showing the collecting sites. A–C in Three Species of Grandidierella (Crustacea: Amphipoda: Aoridae) from Coastal Areas of the Tohoku and Kanto-Tokai Districts, East Japan, with the Description of Two New Species
Fig. 1. Map showing the collecting sites. A–C, Grandidierella sanrikuensis sp. nov.; D, G. rubroantennata sp. nov.; E–G, G. osakaensis Ariyama, 1996. In sites C, E and G, G. japonica Stephensen, 1938 was also collected nearby.
Fig. 2 in Three Species of Grandidierella (Crustacea: Amphipoda: Aoridae) from Coastal Areas of the Tohoku and Kanto-Tokai Districts, East Japan, with the Description of Two New Species
Fig. 2. Photographs of the specimens in life. A, Grandidierella sanrikuensis sp. nov., holotype, male (OMNH-Ar-10195), 7.7 mm; B, G. sanrikuensis, paratype, female (OMNH-Ar-10197), 8.5 mm; C, G. rubroantennata sp. nov., paratype, female (OMNH-Ar-10296), 7.2 mm; D, G. osakaensis Ariyama, 1996, male (OMNH-Ar-10297), 5.8 mm; E, G. osakaensis, female (OMNH-Ar-10359), 5.8 mm. Scales: 1 mm.
Fig. 8 in Three Species of Grandidierella (Crustacea: Amphipoda: Aoridae) from Coastal Areas of the Tohoku and Kanto-Tokai Districts, East Japan, with the Description of Two New Species
Fig. 8. Grandidierella rubroantennata sp. nov. Paratype, female (OMNH-Ar-10296), 7.2 mm. A, left antenna 1, lateral view; A1, accessory flagellum of left antenna 1, medial view; B, left antenna 2, lateral view; B1, tip of left antenna 2, lateral view, normal setae omitted; C, left mandible, medial view; C1, incisor, lacinia mobilis and accessory blades of left mandible, medial view; D, left gnathopod 1, lateral view; D1, distal part of left gnathopod 1, lateral view, normal setae omitted; E, left gnathopod 2, lateral view; E1, distal part of left gnathopod 2, lateral view, normal setae omitted; F, basis of left pereopod 7, lateral view; G, left uropod 1, dorsolateral view; H, left uropod 2, dorsolateral view; I, left uropod 3, dorsal view; J, telson, dorsal view. Scales: 0.1 mm.
Fig. 4 in Three Species of Grandidierella (Crustacea: Amphipoda: Aoridae) from Coastal Areas of the Tohoku and Kanto-Tokai Districts, East Japan, with the Description of Two New Species
Fig. 4. Grandidierella sanrikuensis sp. nov. A–E, G–I, holotype, male (OMNH-Ar-10195), 7.7 mm; F, paratype, male (OMNH-Ar-10199), 8.4 mm. A, left antenna 1, lateral view; A1, accessory flagellum of left antenna 1, medial view; B, left antenna 2, lateral view; B1, tip of left antenna 2, lateral view, normal setae omitted; C, upper lip, anterior view; D, left mandible, medial view; D1, incisor, lacinia mobilis and accessory blades of left mandible, medial view; E, right mandible, medial view; E1, incisor, lacinia mobilis and accessory blades of right mandible, medial view; F, lower lip, ventral view; G, left maxilla 1, dorsal view; G1, distal part of outer plate of left maxilla 1, dorsal view; H, left maxilla 2, dorsal view; I, left maxilliped, dorsal view, inner plate omitted, nail of palp lost; I1, inner plate of right maxilliped, dorsal view. Scales: 0.1 mm.
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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.