Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
145
datasets available to search
ShareScore release 0.9.0
Dataset results
145 results for “marine protected areas”
Environmental Justice, Marine Protected Areas, & Ocean Access in California -- Ocean_Justice
<p>Coastal California is home to a network of Marine Protected Areas (MPAs) that aim to safeguard the state's marine resources and ecosystems. Little is known about who is served and not served by California's MPAs, with large gaps in environmental justice implications. Our study aimed to investigate access to MPAs across communities in California using multiple lines of evidence, with a focus on subsistence fishers (pier fishers and others who do not sell their catch) who are often indirectly marginalized by MPAs. To address this, we 1) conducted a literature review on equity and environmental justice (EEJ) in California's ocean management policies, 2) compared time traveled to MPAs for zip codes of different demographics, 3) conducted a literature review on subsistence fishing in California, and 4) compared demographics of subsistence fishers with intensity of ocean-based pollution linked to fished species. Our EEJ literature review highlighted a gap in policies addressing equitable ocean access. Our spatial analysis revealed disparities in coastal access by age, race, and income. Our subsistence fishing literature review highlighted that little is known about California's current subsistence fishing, though biophysical aspects are better studied than socioeconomic aspects. Our analysis of pollution and subsistence fishing suggested that many subsistence fishers from disadvantaged communities are fishing in areas with high pollution. State and federal agencies can utilize our results to develop effective future management strategies for equitable access to California's MPAs that take disadvantaged communities into account, especially subsistence fishers, to increase their representation in the decision-making process.</p>
Figure 1 in Coral reef benthic assemblages of a Marine Protected Area in eastern Brazil: effect of reef habitats on the spatial pattern of species
Figure 1. Location of the Marine Park Recife de Fora within Brazil and south Bahia (left) and map of the study area with sampling stations.
Figure 5 in Coral reef benthic assemblages of a Marine Protected Area in eastern Brazil: effect of reef habitats on the spatial pattern of species
Figure 5. Benthic cover of six major organisms/categories based on the SIMPER test along the reef assemblages recorded in the Marine Park Recife de Fora between February 2008 and January 2009. (a) Halophila decipiens; (b) fleshy macroalgae; (c) turf algae; (d) crustose coralline algae; (e) Millepora alcicornis; (f) Siderastrea spp.
Figure 4 in Coral reef benthic assemblages of a Marine Protected Area in eastern Brazil: effect of reef habitats on the spatial pattern of species
Figure 4. Batimetric profile across the Marine Park Recife de Fora, showing changes in per cent cover of major benthic organisms/categories across the reef habitats.
Figure 3 in Coral reef benthic assemblages of a Marine Protected Area in eastern Brazil: effect of reef habitats on the spatial pattern of species
Figure 3. Multidimensional scaling (NMDS) of benthic assemblages (relative cover of different organisms/categories) based on Chord similarities. (A) Samples classified according to sectors; (B) samples classified according to habitat. Habitats: ALG – algal slope, BAC – back reef, CHA – reef channel, FLA – reef flat, FOR – fore reef, PAT – patch reef, TID – tidal pool and UNC – unconsolidated substrate.
Figure 2 in Coral reef benthic assemblages of a Marine Protected Area in eastern Brazil: effect of reef habitats on the spatial pattern of species
Figure 2. Map of the geomorphologic classification of Voronoi polygons in the Marine Park Recife de Fora (adapted from Arantes and Seoane 2017).
Data for: Time at risk: Individual spatial behaviour drives effectiveness of marine protected areas and fitness
<p>The effectiveness of Marine Protected Areas (MPAs) depends on the mobility of the populations that are the target of protection, with sedentary species likely to spend more time under protection even within small MPAs. However, little is understood about how individual variation in mobility may influence the risk of crossing an MPA border, as well as the fitness costs associated with being exposed to spillover fisheries. Here we investigated the repeatability of spatial behaviour, its role in determining the probability of being at risk (i.e. exposed to the fishery) and the fitness consequences for the individuals. We acoustically tracked the movements and fate of 282 individuals of three fish species during 8 years in a southern Norwegian fjord. We found that for individuals with a home range centroid inside the MPA, the probability of being at risk outside the MPA increased rapidly with reduced distance from the home range centroid to MPA borders, particularly for individuals having larger and more dispersed home ranges. We also detected that the seasonal expansions of the home range are associated with increased time at risk. Last, we show that individuals spending more time at risk were also more likely to be harvested by the fishery operating outside the MPA. Our study provides clear links between individual fish behaviour, fisheries-induced selection, and the effectiveness of protected areas. These links highlight the importance of intraspecific trait variation for understanding the spatial dynamics of populations and emphasize the need to consider individual behaviour when designing and implementing MPAs.</p>
The largest fully protected marine area in North America does not harm industrial fishing
<p>This repository stores code to support findings for a submitted manuscript titled “The largest fully protected marine area in North America does not harm industrial fishing”. We provide here instruction to replicate the analysis over sample raw data and reproduce the results presented in the manuscript and in the supplementary materials.</p> <p>The readme file is structured in two main chapters:</p> <ol> <li> <p>Replicate the data: explains how data pre-processing occurs and raw data sources.</p> </li> <li> <p>Reproduce the results: explains how manuscript analysis, results, and figures are generated.</p> </li> </ol>
FIGURE 20. Hymeniacidon fusiformis. A in The Sponges of the Carmel Pinnacles Marine Protected Area
FIGURE 20. Hymeniacidon fusiformis. A: field photo. B: cross-section at sponge surface. C: ectosomal skeleton. D: oxea. All images of holotype.
FIGURE 19 in The Sponges of the Carmel Pinnacles Marine Protected Area
FIGURE 19. Halichondria loma. Field photos of holotype (A) and SBMNH700925 (B). C: oxea from IZC00048442. D: crosssection and E: surface skeleton, both from SBMNH700914.
FIGURE 15 in The Sponges of the Carmel Pinnacles Marine Protected Area
FIGURE 15. Maximum likelihood phylogeny of the 28S locus for the Haplosclerida. Colors indicate well-supported clades, with letter names following Redmond et al. (2013). Genbank accession numbers are shown; bold indicates new sequences. Node confidence is based on bootstrapping. Scale bar indicates substitutions per site. Colors indicate clades containing new taxa, as referenced in the text.
FIGURE 12. Megaciella sanctuarium. A in The Sponges of the Carmel Pinnacles Marine Protected Area
FIGURE 12. Megaciella sanctuarium. A: field photo. B–C: cross sections showing choanosomal skeleton, with ectosomal skeleton visible in B. D: Large acanthostyle and acanthostrongyle. E. small acanthostyle. F: ectosomal strongyle. G: chela. H: Toxa. All images of holotype.
FIGURE 9. Clathria microjoanna. A in The Sponges of the Carmel Pinnacles Marine Protected Area
FIGURE 9. Clathria microjoanna. A: Field photo of IZC00048435 (peach, bottom); yellow sponge is Antho lithophoenix sample IZC00048434. B: Field photo of TLT477. C: Thick style. D: Thin subtylostyle. E: Toxa. F–G: Chelae. H: Acanthostyle. C–H from IZC00048435.
FIGURE 8 in The Sponges of the Carmel Pinnacles Marine Protected Area
FIGURE 8. Clathria rumsena. Field photo of holotype (A) and IZC00048437 (B). C: Cross section. D: Thick style. E: Thin style. F: Acanthostyles. G: Chelae. C–G from holotype.
FIGURE 5. Hemimycale polyboletus. A in The Sponges of the Carmel Pinnacles Marine Protected Area
FIGURE 5. Hemimycale polyboletus. A: Field photo of IZC00048450. B: Field photo of SBMNH700910 exposed at low tide. C: Field photo of IZC00048449. D: Skeletal structure of choanosome and papilla, IZC00048450. E. Skeletal structure of choanosome, SBMNH700922. F: Style and subtylotes, IZC00048449.
FIGURE 3 in The Sponges of the Carmel Pinnacles Marine Protected Area
FIGURE 3. Maximum likelihood phylogeny of the cox1 locus for the Poecilosclerida. Genbank accession numbers are shown; bold indicates new sequences. Node confidence is based on bootstrapping. Scale bar indicates substitutions per site. Colors indicate clades containing new taxa, as referenced in the text.
FIGURE 2 in The Sponges of the Carmel Pinnacles Marine Protected Area
FIGURE 2. Maximum likelihood phylogeny of the 28S locus for the Poecilosclerida. Genbank accession numbers are shown; bold indicates new sequences. Node confidence is based on bootstrapping. Scale bar indicates substitutions per site. Colors indicate clades containing new taxa, as referenced in the text.
FIGURE 1 in The Sponges of the Carmel Pinnacles Marine Protected Area
FIGURE 1. Assorted sponges from the Carmel Pinnacles. Acarnus erithacus (A), Scopalina jali (B), Acanthancora cyanocrypta (visible as a blue crust) (C), Cliona californiana (a boring species, visible as tiny yellow papillae) (D), Neopetrosia problematica (E), Endectyon hyle (F), Amphimedon trindenea (G), Tethya californiana (H), Leucilla nuttingi (I), Leucosolenia sp. (J). B, D, F, I are discussed in the systematics section below; other species were not collected, and are identified with field photos only.
FIGURE 23. Maximum likelihood phylogenies for the Bubarida. A in The Sponges of the Carmel Pinnacles Marine Protected Area
FIGURE 23. Maximum likelihood phylogenies for the Bubarida. A: 28S locus, B: cox1 locus. Green clade designated the putative Bubarida; the orders and families currently housing each taxon is also shown. Genbank accession numbers are shown; bold indicates new sequences; asterisks designate type species. Node confidence is based on bootstrapping. Scale bar indicates substitutions per site. Colors indicate clades containing new taxa, as referenced in the text.
FIGURE 11. Antho lithophoenix. A in The Sponges of the Carmel Pinnacles Marine Protected Area
FIGURE 11. Antho lithophoenix. A: field photo of IZC00048433 (see also FIGURE 9A for field photo of IZC00048434). B: choanosomal acanthostyle. C: choanosomal acanthostrongyle. D, I: Chelae. E: ectosomal strongyle. F: ectosomal style. G–H: subectosomal acanthostyles. J: toxa. B–J from IZC00048433.
ScienceDex guides
Understand access before you commit
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.