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97 results for “sandy beach”
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.
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>
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>
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.
Macrofauna, granulometry, n-alkanes and PAH's in sediments of the sandy beaches of the state of Yucatan: November 2018.
<p>This collection corresponds to the species registered and pollutants on sandy beaches of the State of Yucatan, Mexico, using the MBON P2P sampling protocol for sandy beaches, with funding from the LANRESC UNAM-CONACYT (Laboratorio Nacional de Resiliencia Costera, Universidad NAcional Autonoma de Mexico - CONACyT)</p>
Fig. 2 in Ecomorphological relations of sympatric juveniles of Clupeiformes from a Brazilian sandy beach
Fig. 2. Ordination diagram of the ecomorphological variables and clusters of the analyzed clupeiform species according to their relation with the first two axis of the PCA (CI, Compression index; HR, Relative height; RPL, Relative peduncle length; CPCI, Caudal peduncle compression index; IVF, Index of ventral flattening; APFR, Aspect of pectoral fin ratio; REP, Relative eye position; RHL, Relative head length; RMW, Relative mouth width; MAR, Mouth aspect ratio).
Fig. 1 in Ecomorphological relations of sympatric juveniles of Clupeiformes from a Brazilian sandy beach
Fig. 1. Morphological measures taken to calculate the ecomorphological variables (adapted from ALBOUY et al., 2011) (SL, standard length; BH, body height; MHB, medium body height; BW, body width; HL, head length; HH, head height; ERH, relative eye height; PFL, pectoral fin length; PFW, pectoral fin width; CFH, caudal fin height; CPL, caudal peduncle length; CPH, caudal peduncle height; CPW, caudal peduncle width; MW, mouth width; MD; mouth diameter).
Linked collectors and determiners for: Community of macrocrustaceans from the Mexican sandy beaches of the Gulf of México and Caribbean Sea collected by the National Autonomous University of Mexico (UNAM)..
Natural history specimen data linked to collectors and determiners held within, "Community of macrocrustaceans from the Mexican sandy beaches of the Gulf of México and Caribbean Sea collected by the National Autonomous University of Mexico (UNAM).". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/2637deb2-a109-472c-a942-3c220a46deeb">https://bionomia.net/dataset/2637deb2-a109-472c-a942-3c220a46deeb</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/2637deb2-a109-472c-a942-3c220a46deeb">https://gbif.org/dataset/2637deb2-a109-472c-a942-3c220a46deeb</a>. Formatted as a Frictionless Data package.
The first 10-m China's national-scale sandy beach map in 2022 derived from Sentinel-2 imagery
<p>This is the first 10-meter national scale beach map dataset of China. Based on the cloudless Sentinel-2 images for the whole year of 2022, we use the image classification method to draw a 10-meter beach map of China. The projection coordinate system of this data is WGS_1984_UTM_Zone_51N and the geographic coordinate system is GCS_WGS_1984.<br>The "Shape_Leng" field in the data set represents the circumference of the beach, the "Shape_Area" field represents the area of the beach, and the "Province" field represents the province of each independent beach.</p>
Figure 2 in Spatial distribution of the ghost crab Ocypode quadrata in low-energy tide-dominated sandy beaches
Figure 2. Mean slope (°, ¡SE) of the five studied beaches calculated using three replicate random samples in each site. Identical letters indicate non-significant differences in the post hoc Scheffé's test for multiple pair-wise comparisons.
Figure 5 in Spatial distribution of the ghost crab Ocypode quadrata in low-energy tide-dominated sandy beaches
Figure 5. Comparison of the mean number of burrows per m2 (¡SE) of Ocypode quadrata among beaches and zones. Numbers in brackets represent the numbers of squares sampled. Numbers at the left side of the bars indicate the results of Scheffé's test for multiple comparisons of zones among beaches. Letters at the right side of the bars indicate the results of Scheffé's test for multiple comparisons of zones within beaches. Identical labels (numbers or letters) indicate non-significant differences in the post hoc Scheffé's test. See Table III for the results of the ANOVA.
Figure 4 in Spatial distribution of the ghost crab Ocypode quadrata in low-energy tide-dominated sandy beaches
Figure 4. Schemes of zonation of Ocypode quadrata in the study areas. Horizontal dotted lines indicate heights of mean number of individuals per m2 for each 1 m interval estimated using five randomized replicated samples. This the same site were equivalent in length (x-axis): Segredo, 21 m; Cabelo Gordo, 21 m; Pitangueiras, 24 m; Zimbro
Figure 1 in Spatial distribution of the ghost crab Ocypode quadrata in low-energy tide-dominated sandy beaches
Figure 1. Map of the São Sebastião Channel, south-eastern Brazil, illustrating the five study beaches.
Figure 6 in Spatial distribution of the ghost crab Ocypode quadrata in low-energy tide-dominated sandy beaches
Figure 6. Comparison of the mean burrow diameter (¡SE) of Ocypode quadrata among beaches and zones. Numbers in brackets represent the numbers of burrows sampled. Numbers at the left side of the bars indicate the results of the non-parametric Tukey-type test for multiple comparisons of zones among beaches. Letters at the right side of the bars indicate the results of the non-parametric Tukey-type test for multiple comparisons of zones within beaches. Identical labels (numbers or letters) indicate non-significant differences in the post hoc Scheffé's test. See Table IV for the results of the non-parametric Kruskal–Wallis tests.
Figure 3 in Spatial distribution of the ghost crab Ocypode quadrata in low-energy tide-dominated sandy beaches
Figure 3. Mean sand grain size (phi, ¡SE) and mean sorting coefficient (phi, ¡SE) for each zone and beach calculated using five replicate measures in each zone. Mi, medium intertidal; Ui, upper intertidal; Sf, subterrestrial fringe.
ScienceDex guides
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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.