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612 results for “Beach”
Elevation and soil salinity transects at Airport Marsh and Old Beach Road on Sapelo Island, Georgia in 2001
To examine the relationship between elevation and soil characteristics, I sampled two sites on Sapelo Island (Old Beach Road and Airport Marsh) in July of 2001. At each site, I collected 160 soil samples across a transect from the high to the low marsh, and surveyed the relative elevation of each sample location with a theodolite. I determined soil water content gravimetrically, soil organic content by ashing samples, and soil salinity by rehydrating dried soils, adding deionized water, measuring the salinity of the supernatant, and back calculating to the original soil water content.
Early-Holocene Forest at Stonewall Beach on Martha’s Vineyard 10700-9800 BP
Coastal erosion at Stonewall Beach on the island of Martha’s Vineyard, Massachusetts, U.S.A., has exposed a thick layer of peaty sediments rich in botanical remains, including well-preserved tree trunks. We identified the species of the tree trunks based on wood anatomy, analyzed pollen and macrofossils in the sediments, and determined the ages of the tree trunks and peat with 14C dating. The tree trunks were identified as Pinus strobus (white pine), and pollen assemblages featured high percentages of P. strobus in sediments associated with the trunks. The tree trunks and peat dated to ~10,700–9800 calibrated 14C years before present. These findings confirm that Martha’s Vineyard, like other parts of southern New England, was dominated by P. strobus forest during the early Holocene. At that time, regional climate was drier than today and Martha’s Vineyard was not yet isolated from the mainland by postglacial sea-level rise.
Fish catch and biomass per unit effort from McDermott and Sandy Beach Lakes 2017-2020
Centarchidae spp., a warm-adapted group of fishes including basses and sunfishes, has increased in recent decades in Wisconsin. Concurrently, declines in cool-adapted species, including Walleye (Sander vitreus), have occurred but the cause is not understood. Multiple factors have been associated with these declines, including rising lake temperatures, habitat degradation, harvest, and species interactions. To quantify the role that competition and/or predation between increasing centrarchids and the rest of the fish community plays, we are conducting a whole-lake experiment to remove centrarchids from an experimental lake in northern Wisconsin while measuring the response of all other fish species. In 2018 and 2019, ~200,000 centrarchid individuals were removed, while species-specific catch-per-unit-effort (CPUE) and biomass-per-unit-effort (BPUE) were measured. Yellow Perch have increased in CPUE and BPUE, while centrarchid abundances have declined. We will continue removing centrarchids in 2021 and monitoring these populations. This information will be used to inform an understanding of the conditions necessary to support self-sustaining fish populations given global environmental change.
PFAS, Coliform, and E. coli Data from Freshwater Canals, Brackish Water in Biscayne Bay, and Ocean Salt Water from Miami Beaches, Florida, USA, July 2023
This package contains data on levels of Per- and polyfluoroalkyl substances (PFAS), Coliform, and E. coli from samples collected at 15 water sampling sites in and around Biscayne Bay, Florida on 2023-07-27 as part of the Coastal Ecosystem-Research Experience for Teachers (CE-BIORETS) program. The sites included waterways leading to Biscayne Bay (freshwater canals), Biscayne Bay directly (marine brackish water), and ocean water from Miami beaches (marine salt water). A total of 500 mL of surface water was collected (at approximately 30 cm depth) from each site. Samples were run through a Solid Phase Extraction process (SPE) and then dried using a Nitrogen Evaporator. Extracts were then analyzed by Liquid Chromatography-Triple quadrupole Mass Spectrometry (LC-MS/MS) to determine the quantity of each of the different PFAS (ng/L) present in the sample. The same sites were selected for Coliform and E. coli colony forming units’ detection, and samples were collected at the same time as the PFAS samples. Samples were analyzed by pouring 100 mL of collected water into the wells on a ColiPlate. The 15 plates were incubated for 1 day at 37°C to determine if Coliforms and E. coli were detected. Data collection for this project is complete.
SBC LTER: Beach: Time-series of beach wrack cover and biomass, ongoing since 2008
These data describe the composition, cover, depth, and wet biomass of macrophyte wrack accumulated in the intertidal zone measured on five selected sandy beaches of the mainland coast of the Santa Barbara Channel. Data collection began in 2008 and this dataset is updated annually. Two data tables in this data package: 1. Wrack_Cover_All_Years. This is long-term time-series dataset starting in 2008 with fixed wrack species codes. 2. The Wrack_Cover_NON_FILLED_Partialkep dataset is added in 2019, to distinguish whether the fresh or old blade, stipe and holdfast was a fragment or attached to a whole plant.
SBC LTER: Beach: Time series of abundance of birds and stranded kelp on selected beaches, ongoing since 2008
Dataset contains the distribution, abundance and seasonal occurrence of birds, humans, dogs, and of freshly stranded giant kelp (Macrocystis pyrifera) plants and holdfasts present during monthly low-tide (<= 2.5 ft) weekday surveys of standard 1 km long transects on selected sandy beaches of the mainland coast of the Santa Barbara Channel. The abundance of humans, dogs, marine mammals and dead or oiled wildlife is also recorded during each survey. Sampling began in 2008 and is ongoing. See Methods for more information.
SBC LTER: Beach: Time-series of beach wrack consumers, ongoing since 2011
These data contain the composition, count, and wet biomass of macroinvertebrates along intertidal transects at five selected sandy beaches of the mainland coast of the Santa Barbara Channel. Data collection began in 2012 and is ongoing. This dataset is updated annually. Macroinvertebrates were collected from uniformly spaced cores along the shore-normal transects also used for physical measurements and macrophyte wrack sampling. Cores were pooled and animals and organic material sieved. In the laboratory, all macroinvertebrate species were identified, enumerated, blotted dry and weighed.
BWILD: Beach seagrass Wrack Identification Labelled Dataset
<h1>Training dataset</h1> <p>BWILD is a dataset tailored to train Artificial Intelligence applications to automate beach seagrass wrack detection in RGB images. It includes oblique RGB images captured by SIRENA beach video-monitoring systems, along with corresponding annotations, auxiliary data and a README file. BWILD encompasses data from two microtidal sandy beaches in the Balearic Islands, Spain. The dataset consists of images with varying fields of view (9 cameras), beach wrack abundance, degrees of occupation, and diverse meteoceanic and lighting conditions. The annotations categorise image pixels into five classes: i) Landwards, ii) Seawards, iii) Diffuse wrack, iv) Intermediate wrack, and v) Dense wrack.</p> <h1>Technical details</h1> <p>The BWILD version 1.1.0 is packaged in a compressed file (BWILD_v1.1.0.zip). A total of 3286 RGB images are shared in PNG format, corresponding annotations and masks in various formats (PNG, XML, JSON,TXT), and the README file in PDF format.</p> <h2>Data preprocessing</h2> <p>The BWILD dataset utilizes snapshot images from two SIRENA beach video-monitoring systems. To facilitate annotation while maintaining a diverse range of scenarios, the original 1280x960 pixel images were cropped to smaller regions, with a uniform resolution of 640x480 pixels. A subset of images was carefully curated to minimize annotation workload while ensuring representation of various time periods, distances to camera, and environmental conditions. Image selection involved filtering for quality, clustering for diversity, and prioritizing scenes containing beach seagrass wracks. Further details are available in the README file. </p> <h2>Data splitting</h2> <p>Data splitting requirements may vary depending on the chosen Artificial Intelligence approach (e.g., splitting by entire images or by image patches). Researchers should use a consistent method and document the approach and splits used in publications, enabling reproducible results and facilitating comparisons between studies. </p> <h2>Classes, labels and annotations</h2> <p>The BWILD dataset has been labelled manually using the 'Computer Vision Annotation Tool' (CVAT), categorising pixels into five labels of interest using polygon annotations.</p> <table> <tbody> <tr> <td><strong> Label</strong></td> <td><strong> Description</strong></td> </tr> <tr> <td>landwards</td> <td>Pixels that are towards the landside with respect to the shoreline</td> </tr> <tr> <td>seawards</td> <td>Pixels that are towards the seaside with respect to the shoreline</td> </tr> <tr> <td>diffuse wrack</td> <td>Pixels that potentially resembled beach wracks based on colour and shape, yet the annotator could not confirm this with certainty, were denoted as ‘diffuse wrack’</td> </tr> <tr> <td>Intermediate wrack</td> <td>Pixels with low-density beach wracks or mixed beach wracks and sand surfaces</td> </tr> <tr> <td>Dense wrack</td> <td>Pixels with high-density beach wracks</td> </tr> </tbody> </table> <p>Annotations were exported from CVAT in four different formats: (i) CVAT for images (XML); (ii) Segmentation Mask 1.0 (PNG); (iii) COCO (JSON); (iv) Ultralytics YOLO Segmentation 1.0 (TXT). These diverse annotation formats can be used for various applications including object detection and segmentation, and simplify the interaction with the dataset, making it more user-friendly. Further details are available in the README file. </p> <h2>Parameters</h2> <p>RGB values or any transformation in the colour space can be used as parameters.</p> <h2>Data sources</h2> <p>A SIRENA system consists of a set of RGB cameras mounted at the top of buildings on the beachfront. These cameras take oblique pictures of the beach, with overlapping sights, at 7.5 FPS during the first 10 minutes of each hour in daylight hours. From these pictures, different products are generated, including snapshots, which correspond to the frame of the video at the 5th minute. In the Balearic Islands, SIRENA stations are managed by the Balearic Islands Coastal Observing and Forecasting System (SOCIB), and are mounted at the top of hotels located in front of the coastline. The present dataset includes snapshots from the SIRENA systems operating since 2011 at Cala Millor (5 cameras) and Son Bou (4 cameras) beaches, located in Mallorca and Menorca islands (Balearic Islands, Spain), respectively. All latest and historical SIRENA images are available at the Beamon app viewer (https://apps.socib.es/beamon). </p> <h2>Data quality</h2> <p>All images included in BWILD have been supervised by the authors of the dataset. However, variable presence of beach segrass wracks across different beach segments and seasons impose a variable distribution of images across different SIRENA stations and cameras. Users of BWILD dataset must be aware of this variance. Further details are available in the README file. </p> <h2>Image resolution</h2> <p>The resolution of the images in BWILD is of 640x480 pixels.</p> <h2>Spatial coverage</h2> <p>The BWILD version 1.1.0 contains data from two SIRENA beach video-monitoring stations, encompassing two microtidal sandy beaches in the Balearic Islands, Spain. These are: Cala Millor (<em>clm</em>) and Son Bou (<em>snb</em>). </p> <table> <tbody> <tr> <td><strong>SIRENA station</strong></td> <td><strong> Longitude</strong></td> <td><strong> Latitude</strong></td> </tr> <tr> <td><em>clm</em></td> <td>3.383</td> <td>39.596</td> </tr> <tr> <td><em>snb</em></td> <td>4.077</td> <td>39.898</td> </tr> </tbody> </table> <h2>Contact information</h2> <p>For further technical inquiries or additional information about the annotated dataset, please contact jsoriano@socib.es.</p>
Meiofauna higher taxa abundance data from a monitoring study of sandy beach meiofauna before and after sand nourishment (Ahrenshoop, Baltic Sea)
<p>We provide abundance data for meiofauna taxa determined from sediment samples collected on the sandy-beach water line of Ahrenshoop (Baltic Sea). Five sampling stations lay within the zone impacted by the sand nourishment between the boundary of the nature reserve in the north east and a site just north of the breakwater (AH01–AH05). An unaffected reference station was located south of Ahrenshoop (close to Niehagen) at the end of the road Pappelallee (PAP). Samples were collected at four dates. The first sampling was carried out before the sand nourishment took place (T0: 14 September 2021). Three samplings were realised after the impact: T1 (23 March 2022), T2 (27 September 2022), and T3 (28 March 2023). Latitude and longitude of each sampling location per station were recorded at each sampling date using a hand-held GPS application on a mobile phone. At the stations sampling locations varied over time. Prior to the sand nourishment the beach was narrow due to sand erosion in previous years. After the nourishment the additional extent of the beach was approximately 40 m at sampling date T1. Subsequently, progressive sand erosion forced the sampling locations (situated at the water line) further inland at T2 and T3.</p> <p>Samples were taken from the beach-water interface (water line) in the middle of the area between two groynes. Plexiglass cores (inner core diameter 5.4 cm) were inserted vertically into the sediment down to 15 cm depth. Each core was sliced in 5 cm-layers (0–5, 5–10 and 10–15 cm). Sediment horizons were preserved in 96–99% ethanol. The organisms were extracted by decantation over a 32-μm sieve. The total number of individuals per taxon was counted and is presented as individuals per 10 cm<sup>2</sup>.</p> <p>In the framework of our monitoring, samples were primarily taken for a large-scale metabarcoding study on meiofauna communities. One core per station and sampling date was reserved for morphology-based community analyses. Here we present the results for the stations AH01, AH03, AH05, and PAP. We selected these stations because of their location at both ends and in the center of the impacted zone (AH01, AH03, AH05) and at the control site (PAP). The meiofauna (32–1000 µm) was mostly represented by Copepoda, Nematoda, Platyhelminthes, Gastrotricha, and some Annelida. We counted 27445 individuals in total, encompassing 10 higher taxa. We counted copepod nauplii separately due to their small body size. We defined the combined group “Plathyhelminthes+<em>Diurodrilus</em> sp.” because members of the annelid genus <em>Diurodrilus</em> sp. are not distinguishable from Platyhelminthes under the stereomicroscope.</p> <p>Here we present a Table on meiofauna higher taxa counts per 10cm<sup>2</sup> (as xlsx and tab-delimited file; including metadata for each sample: event; date; latitude; longitude; station, core and sample ID; sediment depth).</p> <p>The meiofauna abundance data are part of a larger ecological study on the influence of sand nourishment on meiofauna communities, which included grain-size and metabarcoding analyses (see “related works”).</p> <p><strong>Comment: </strong>Our study is related to but not funded by the project ECAS Baltic: Strategies of ecosystem-friendly coastal protection and ecosystem-supporting coastal adaptation for the German Baltic Sea Coast <a href="https://deutsche-kuestenforschung.de/ecas-baltic.html">https://deutsche-kuestenforschung.de/ecas-baltic.html</a></p>
Metabarcoding data (number of reads per operational taxonomic unit) from a monitoring study of sandy beach meiofauna before and after sand nourishment (Ahrenshoop, Baltic Sea)
<p>We provide metabarcoding data (number of reads per operational taxonomic unit, OTU) determined from sediment samples collected on the sandy-beach water line of Ahrenshoop (Baltic Sea). Five sampling stations lay within the zone impacted by the sand nourishment between the boundary of the nature reserve in the north east and a site just north of the breakwater (AH01–AH05). An unaffected reference station was located south of Ahrenshoop (close to Niehagen) at the end of the road Pappelallee (PAP). Samples were collected at four dates. The first sampling was carried out before the sand nourishment took place (T0: 14 and 16 September 2021). Three samplings were realised after the impact: T1 (23 March 2022), T2 (27 September 2022), and T3 (28 March 2023). Latitude and longitude of each sampling location per station were recorded at each sampling date using a hand-held GPS application on a mobile phone. At the stations sampling locations varied over time. Prior to the sand nourishment the beach was narrow due to sand erosion in previous years. After the nourishment the additional extent of the beach was approximately 40 m at sampling date T1. Subsequently, progressive sand erosion forced the sampling locations (situated at the water line) further inland at T2 and T3.<br>Samples were taken from the beach-water interface (water line) in the middle of the area between two groynes. Plexiglass cores (inner core diameter 5.4 cm) were inserted vertically into the sediment down to 15 cm depth. Each core was sliced in 5 cm-layers (0–5, 5–10 and 10–15 cm). Sediment horizons were preserved in 96–99% ethanol. <br>Three cores (2 cores at T0) per sampling date were taken for metabarcoding analyses. The organisms were extracted by decantation over a 32-μm sieve. Genomic DNA was extracted from the filters using the DNeasy PowerSoil pro kit (Qiagen). Realtime-PCR was performed to amplify V1&V2, two hypervariable regions of 18S rDNA gene. The sequencing run was performed using the MiSeq Reagent Nanokit v2 (250 cycles paired end) on an Illumina MiSeq platform at the DZMB Metabarcoding lab in Wilhelmshaven, Germany. High-resolution amplicon sequence variants (ASVs) were obtained and compared to the NCBI database to assign taxonomic information to each ASV. The target meiofauna ASVs were further classified into operational taxonomic units (OTUs) with a 3% cut-off threshold using the statistical software R.</p> <p>Here, we present two Tables (as xlsx and tab-delimited files):<br>(1) the taxonomic description of the 843 OTUs and their assigned ID number;<br>(2) the number of reads per OTU per sample (including metadata for each sample: event; date; latitude; longitude; station, core and sample ID; sediment depth).</p> <p>The metabarcoding data are part of a larger ecological study on the influence of sand nourishment on meiofauna communities, which included grain-size and meiofauna abundances (see “related works”).</p> <p><strong>Comment: </strong>Our study is related to but not funded by the project ECAS Baltic: Strategies of ecosystem-friendly coastal protection and ecosystem-supporting coastal adaptation for the German Baltic Sea Coast <a href="https://deutsche-kuestenforschung.de/ecas-baltic.html">https://deutsche-kuestenforschung.de/ecas-baltic.html</a></p>
A high-resolution 4D geospatial laser scan dataset of the beach at Mariakerke Bad, Belgium
<p>This dataset contains a high resolution (in both time and space) laser scan data set of a 1-year measurement campaign in 2017 and 2018 in the seaside resort of Mariakerke Bad in Belgium. The measurements consist of 8417 hourly laserscans of a 400 meter stretch of beach. The measurement campained was performed to study variations in shoreward sand transport at urbanized beaches. </p> <p>Laserscan data is stored in local coordinates. Time dependent corrections per laserscan epoch are provided next to a global transformation matrix to transform the local coordinates to the Belgium Lambert 2008 coordinate system.</p> <p>This data is provided as is and is licensed under the Creative Commons Attribution 4.0 International (CC-BY-4.0). See the provided PDF on more information about the CC-BY-4.0.</p> <p>Version 1 contained an error in the global transformation matrix. Version 2 corrects this.</p>
SCShores: time-series of shorelines from Spanish Sandy beaches from citizen-science monitoring program.
<p>This repository contains 5 years of sandy beaches shorelines deriverd from a citizen-science monitoring program in the Spanish coast. The methodology and the dataset are described in:</p> <p><em><strong>González-Villanueva, R., Soriano-González, J., Alejo, I., Criado-Sudau, F., Plomaritis, T., Fernàndez-Mora, À., Benavente, J., Del Río, L., Nombela, M. Á., and Sánchez-García, E.: SCShores: a comprehensive shoreline dataset of Spanish sandy beaches from a citizen-science monitoring programme, Earth System Science Data. V. 15, 4613-4629 , <a href="https://essd.copernicus.org/articles/15/4613/2023/essd-15-4613-2023.html">https://doi.org/10.5194/essd-15-4613-2023</a>, 2023. </strong></em></p> <p>The shoreline dataset is provided in 1 GEOJSON file: SCShores.geojson. This dataset covers five<strong> </strong>sandy beaches located on the Atlantic and Mediterranean coasts of Spain where CoastSnap stations were available, and it includes a total of 1721 shorelines. The coordinate system for the geospatial layer is WGS84.</p> <ul> <li><strong><em>SCShores.geojson</em></strong>: this layer contains the sandy shorelines . Each feature in this layer is a multipoint with the following attributtes: <ul> <li><strong>site</strong>: CoastSnap station name id, e.g. agrelo, samarador, cadiz, ….</li> <li><strong>date</strong>: date and time of the shoreline, yyyyy-mm-dd hh:mm:ss</li> <li><strong>timezone</strong>: Coordinated Universal Time, UTC</li> <li><strong>timestampQuality</strong>: quality flag indicating the confidence in the date-time indicated by the image provider, e.g. 1, 2</li> <li><strong>imageSource</strong>: source of the original image from which the shoreline has been derived, e.g. Instagram, Twitter, Facebook, Email, CoastSnapApp</li> <li><strong>elevation_m:</strong> same as Z coordinate, defined by the observed tide and the tidal offset, in meters, Tide+tide offset</li> <li><strong>verticalDatum</strong>: mean sea level in Alicante, which is considered the zero topographic reference in the Spanish territory, NMMA</li> <li><strong>geometry</strong>: type of geometry used in the file, MultiPoint</li> <li><strong>coordinates</strong>: Geographic WGS84 coordinates for each point in the geometry, longitude, latitude, Z</li> </ul> </li> </ul> <p> </p>
Interagency Ecological Program and US Fish and Wildlife Service: Beach Seine Efficiency Study, collected by the Delta Juvenile Fish Monitoring Program, 2013-2018
Within the San Francisco Estuary, beach seining has been used since the 1970s by the U.S. Fish and Wildlife Service's Delta Juvenile Fish Monitoring Program (DJFMP) to monitor the relative abundance and distribution of juvenile Chinook salmon and other fishes of management concern occurring in near shore habitats. Over 2,000 seine samples are currently being collected throughout the San Francisco Estuary annually. Data from these surveys are used to make various water operation decisions and help inform managers on the status of fish populations within the San Francisco Estuary. By not accounting for the variability of species- and size-specific efficiency of beach seines across environmental gradients, the metrics developed by the DJFMP are likely underestimated and biased to an unknown extent. Consequently, the ability of the DJFMP to document the true occupancy of fishes for water operations and population vicissitude may be inhibited. Therefore, the first objective of this study is to estimate the species- and size-specific capture efficiency of DJFMP beach seines for fishes occurring in near shore habitats within the San Francisco Estuary. The second objective is to model the observed efficiency estimates using habitat variables to allow managers to account for incomplete detection when estimating fish abundance and occupancy from DJFMP beach seine data.
SBC LTER: BEACH: Invertebrate community structure and ecosystem functions of 24 sandy beach sites
These data result from a survey of 24 sandy beach sites in Santa Barbara and Ventura Counties in 2017 and 2018. We quantified marine macrophyte wrack subsidies, macroinvertebrates, and five ecosystem functions on three replicate transects at each site in order to elucidate the role of marine wrack subsidies on recipient ecosystem community structure and functioning. We also measured shorebirds at each site on three replicate survey days. Data are contained in four tables: 1) wrack cover and invertebrate community data by transect for each site used in our PiecewiseSEM model, 2) wrack cover and ecosystem function data by transect for each site used in our ecosystem multifunctionality estimate, 3) invertebrate species abundance and biomass by transect for each site, and 4) shorebird species abundance by survey date for each site.
SBC LTER: Beach: Local and regional kelp wrack inputs to sandy beaches
These data describe the inputs of giant kelp (Macrocystis pyrifera) to sandy beach ecosystems in the Santa Barbara Channel. The local dataset details the average number of kelp plants deposited in 100 m wide segments of coastline over the course of 66 months, from August 2015 through July 2021. Data are presented as the overall average as well as the seasonal averages for each segment. The coordinates of each segment are provided as well as the overall average dry beach width and the beach orientation for each segment. The regional dataset details the average wrack cover from cross-shore transects and the average number of kelp plants deposited on the 1 km stretch of beach for 24 sandy beach sites in a 100 km long region of coastline along the Santa Barbara Channel. The coordinates of each site are provided as well as the dry beach width and the beach orientation. Data are contained in two tables: 1) the local 25 km dataset with 250 total segments, and 2) the 100 km regional dataset with 24 total study beaches.
SBC LTER: Beach: Sandy beach prey resource use by surfperch across tidal phase
These data describe trophic links between sandy beach and an associated surf zone fish species. The datasets are the result of a short-term study investigating the effect of tidal phase on a local sandy beach macroinvertebrate community and the diet of barred surfperch (Amphistichus argenteus) during the summer and fall of 2020. The beach invertebrate population dataset details the abundance and biomass of taxon within each beach intertidal zone across three paired neap and spring tidal phases. The diet datasets report the counts and sizes of prey taxon observed in barred surfperch stomach samples taken at the time of each beach sampling event. Data are contained in three tables: 1) the beach macroinvertebrate population data, 2) prey counts from barred surfperch stomach content samples, and 3) the sizes of prey in stomach samples.
SBC LTER: Beach: CO₂ flux, wrack subsidies, invertebrate community, and consumer respiration rates for Channel Islands sandy beaches
These data result from surveys of 14 sandy beach sites on four of California’s Channel Islands from 2016 to 2018. We quantified marine macrophyte wrack subsidies, macroinvertebrates, beach physical parameters, and sediment CO2 flux at each site in order to elucidate the role of marine wrack subsidies and wrack consumers on sandy beach sediment CO2 flux. We also measured the respiration rates of the six most common wrack consumer species in the laboratory. Data are contained in two tables: 1) Mean wrack cover, invertebrate community composition (species richness, abundance, and biomass), beach physical parameters, and sediment CO2 flux, and 2) respiration rates and biomass of each replicate individual for each of the six species.
SBC LTER: Beach: Kelp export to select sandy beaches, Isla Vista, 2005-2006
The composition, cover and wet biomass of macroalgal wrack accumulated in the intertidal zone measured on selected sandy beaches of the mainland coast of the Santa Barbara Channel.
SBC LTER: Beach: Wrack and porewater in southern Santa Barbara County, 2003
These data describe 1) the composition, cover, and wet biomass of macrophyte wrack accumulated in the intertidal zone measured along replicated shore-normal transects and 2) the concentrations of major dissolved nutrients and salinity of samples of beach porewater collected from excavations to the water table at different intertidal heights and in the surf zone along the same replicated transects where wrack was measured. These wrack and biogeochemical data were collected on ten sandy beaches of the mainland coast of the Santa Barbara Channel in late summer 2003. Distance between shore-normal transects was randomly selected at each site, and data can be used as replicates
SBC LTER: Land: Hydrology: Precipitation at El Capitan at State Beach (EL201)
Precipitation was collected at El Capitan at State Beach in the Santa Barbara coastal area (site ID: EL201). A Tipping Bucket rain gauge from either Qualimetrics (Model 6011B) or Sutron (Model 5600-0425-2) was used. Data are reported hourly, and times reflect the end of the each 1-hour interval.
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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.