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233 results for “marine biodiversity”
A blueprint for securing Brazil's marine biodiversity and supporting the achievement of global conservation goals
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Raw data for: "Abrupt declines marine phytoplankton production driven by warming and biodiversity loss in a microcosm experiment"
<p><strong>Raw data for the article:</strong> Bestion, E, Barton, S, García, FC, Warfield, R, Yvon-Durocher, G (2020). Abrupt declines in marine phytoplankton production driven by warming and biodiversity loss in a microcosm experiment. Ecology Letters. 2020.</p> <p><br> <strong>This data should be cited as:</strong> Bestion, E, Barton, S, García, FC, Warfield, R, Yvon-Durocher, G (2020). Raw data for: "Abrupt declines marine phytoplankton production driven by warming and biodiversity loss in a microcosm experiment" [Data set]. Bestion et al 2020 Ecology Letters. Zenodo. http://doi.org/10.5281/zenodo.3555223<br> -----------------------------</p> <p><strong>The data is composed of two datasets:</strong><br> -----------------------------------------<br> - Biodiversity_ecosystem_function_data.csv<br> - Cell_traits_data.csv</p> <p> </p> <p><strong>Composition of the Biodiversity ecosystem function dataset</strong><br> ------------------------------------------------------------<br> The dataset contains 27 columns<br> - Temperature: the temperature treatment, either 15, 25or 30°C<br> - R: the community richness (1, 2, 4, 8 or 16 species)<br> - log2_R: the log2-scaled richness<br> - M: the community identity (e.g. ABCD is a community composed of 4 species, species A, B, C and D)<br> - P: the partition id (5 independent partitions of the species pool were drawn, following Bell et al 2009)<br> - Q: the partitioned species pool id (following Bell et al 2009)<br> - R: the replicate id (3 replicates per community within a partition, named 1 to 3)<br> - SA to SP: the species presence-absence status for each of the 16 species (species A to species P), with 1: species present within the community, 0: species absent<br> - Abundance: number of cells per ml at the end of the experiment<br> - ln_Abundance: log-transformed Abundance<br> - Chl_a : chlorophyll a content at the end of the experiment in pg ml-1<br> - ln_Chl_a : log-transformed chlorophyll a</p> <p><br> <strong>Composition of the Cell traits dataset</strong><br> -----------------------------------------<br> The dataset contains 9 columns<br> - Species_alpha: the alphanumeric id of the species used in the Biodiversity ecosystem function dataset<br> - Species_name: species identity<br> - Phylum: the phylum<br> - ln.c: the ln transformed metabolic rate b(Tc) at the reference temperature Tc = 293.15°K from the Sharpe-Schoolfield equation (eq. 4 in the article) in µgO2 cell-1 hour-1<br> - Ea: the activation energy (eV) from the Sharpe-Schoolfield equation<br> - Eh: the deactivation energy (eV) from the Sharpe-Schoolfield equation<br> - Th: the temperature at which half of the enzyme have become non functional (°K) from the Scharpe-Schoolfield equation<br> - Topt: the optimum temperature from differentiating the Sharpe-Schoolfield equation. It is presented in °C to be easier to link to the temperature treatments in the experiment<br> - cell_volume: the cell volume, in µm3</p>
List of the main marine and coastal habitats detected in Marine Protected Areas and Key Biodiversity Areas of countries around the Alboran Sea, with annotations on the year on which the habitat was listed or publications related on the habitats
<p>List of the main marine and coastal habitats detected in Marine Protected Areas and Key Biodiversity Areas of countries around the Alboran Sea, with annotations on the year on which the habitat was listed or publications related on the habitats. Biosph Res: Biosphera Reserve; MP: Management Plan; NA: Natural Area; NatP: National Park; NP: Natural Park; RCP: Réserve de Chasse Permanenten; RH: Permanent Reserve of Hunting; RN: Réserve Naturelle; SAC: Special Area of Conservation; SBEI: Sites of Biological and Ecological Interest; SCI: Site of Community Importance of Natura 2000; SPAMI: Specially Protected Areas of Mediterranean Importance; LIC: Lugar de Importancia Comunitaria; ZEC: Zona de Especial Conservación; ZEPIM: Zona Especialmente Protegida de Importancia para el Mediterráne; ASPIM: Aires Spécialement Protégées d’Importance Méditerranéenne; SIBE: Sites d’Intérêt Biologique et Ecologique</p>
Data and code for a high-resolution summary of Cambrian to Early Triassic marine invertebrate biodiversity
<p>Data compilation and standardization were conducted through the Geobiodiversity Database from 2013 to 2017. The raw dataset contained 266,110 local Cambrian to Triassic records of 45,318 taxonomic units from 3,766 published stratigraphic sections. These were collected from all major Chinese tectonic plates. The authors spent three years verifying the taxonomic assignments into a consistent paleontological taxonomic classification system. Identifications to genus or higher taxonomic ranks were omitted. All non-marine fossil groups (e.g., plants, vertebrates, pollen, spores) were also removed. Species recovered from only a single locality were removed after a few test calculations in order to partially standardize the sampling and research efforts and avoid the "monograph effect". The final dataset retained after all standardization procedures included 116,060 local records of the stratigraphic ranges of 11,268 species in 3,112 published stratigraphic sections. </p> <p>The CONOP.SAGA program was designed for high-performance computing of geological time scale and biodiversity analysis in 2017. We designed a special hybrid algorithm that combined simulated annealing and a genetic algorithm to overcome the limitations of classic CONOP program designed by Pete Sadler.</p>
Data from: Climate change impacts on marine biodiversity, fisheries and society in the Arabian Gulf
Climate change - reflected in significant environmental changes such as warming, sea level rise, shifts in salinity, oxygen and other ocean conditions - is expected to impact marine organisms and associated fisheries. This study provides an assessment of the potential impacts on, and the vulnerability of, marine biodiversity and fisheries catches in the Arabian Gulf under climate change. To this end, using three separate niche modelling approaches under a 'business-as-usual' climate change scenario, we projected the future habitat suitability of the Arabian Gulf for 55 expert-identified priority species, including charismatic and non-fish species. Second, we conducted a vulnerability assessment of national economies to climate change impacts on fisheries. The modelling outputs suggested a high rate of local extinction (up to 35% of initial species richness) by 2090 relative to 2010. Spatially, projected local extinctions are highest in the southwestern part of the Arabian Gulf, off the coast of Saudi Arabia, Qatar and the United Arab Emirates (UAE). While the projected patterns provided useful indicators of climate change impacts on the region's diversity, the magnitude of changes in habitat suitability are more uncertain. Fisheries-specific results suggested reduced future catch potential for several countries on the western side of the Arabian Gulf, with projections differing only slightly between models. Qatar and the UAE were particularly affected, with more than a 26% drop in future fish catch potential. Integrating changes in catch potential with socio-economic indicators suggested the fisheries of Bahrain and Iran may be most vulnerable to climate change. We discuss limitations of the indicators and the methods used, as well as the implications of our overall findings for conservation and fisheries management policies in the region.
Fig. 5 in Meiofaunal Biodiversity In A Marine Protected Area: A Case Study In The Rocky And Sedimentary Shores Of The Snake Island (North-Western Black Sea)
Fig. 5. The average density (N, means ± SE ind.·m–2) and biomass (B, means ± SE mg·m–2) of each meiobenthic taxon in the different habitats of the Snake Island MPA (Black Sea).
Supplementary material 3 from: Miya M, Sado T, Oka S-i, Fukuchi T (2022) The use of citizen science in fish eDNA metabarcoding for evaluating regional biodiversity in a coastal marine region: A pilot study. Metabarcoding and Metagenomics 6: e80444. https://doi.org/10.3897/mbmg.6.80444
Table S3
Supplementary material 1 from: Miya M, Sado T, Oka S-i, Fukuchi T (2022) The use of citizen science in fish eDNA metabarcoding for evaluating regional biodiversity in a coastal marine region: A pilot study. Metabarcoding and Metagenomics 6: e80444. https://doi.org/10.3897/mbmg.6.80444
Table S1
Supplementary material 2 from: Miya M, Sado T, Oka S-i, Fukuchi T (2022) The use of citizen science in fish eDNA metabarcoding for evaluating regional biodiversity in a coastal marine region: A pilot study. Metabarcoding and Metagenomics 6: e80444. https://doi.org/10.3897/mbmg.6.80444
Table S2
Supplementary material 4 from: Miya M, Sado T, Oka S-i, Fukuchi T (2022) The use of citizen science in fish eDNA metabarcoding for evaluating regional biodiversity in a coastal marine region: A pilot study. Metabarcoding and Metagenomics 6: e80444. https://doi.org/10.3897/mbmg.6.80444
Table S4
Supplementary material 5 from: Miya M, Sado T, Oka S-i, Fukuchi T (2022) The use of citizen science in fish eDNA metabarcoding for evaluating regional biodiversity in a coastal marine region: A pilot study. Metabarcoding and Metagenomics 6: e80444. https://doi.org/10.3897/mbmg.6.80444
Supplementary methods
Figure 6 from: Gerovasileiou V, Martínez A, Álvarez F, Boxshall G, Humphreys W, Jaume D, Becking L, Muricy G, van Hengstum P, Dekeyzer S, Decock W, Vanhoorne B, Vandepitte L, Bailly N, Iliffe T (2016) World Register of marine Cave Species (WoRCS): a new Thematic Species Database for marine and anchialine cave biodiversity. Research Ideas and Outcomes 2: e10451. https://doi.org/10.3897/rio.2.e10451
Figure 6 - WoRCS also includes images showing the significance of some cave species for local societies.
Figure 5 from: Gerovasileiou V, Martínez A, Álvarez F, Boxshall G, Humphreys W, Jaume D, Becking L, Muricy G, van Hengstum P, Dekeyzer S, Decock W, Vanhoorne B, Vandepitte L, Bailly N, Iliffe T (2016) World Register of marine Cave Species (WoRCS): a new Thematic Species Database for marine and anchialine cave biodiversity. Research Ideas and Outcomes 2: e10451. https://doi.org/10.3897/rio.2.e10451
Figure 5 - Example of an image in WoRCS, showing the habitus and some aspects of the biology of a cave species.
Figure 4 from: Gerovasileiou V, Martínez A, Álvarez F, Boxshall G, Humphreys W, Jaume D, Becking L, Muricy G, van Hengstum P, Dekeyzer S, Decock W, Vanhoorne B, Vandepitte L, Bailly N, Iliffe T (2016) World Register of marine Cave Species (WoRCS): a new Thematic Species Database for marine and anchialine cave biodiversity. Research Ideas and Outcomes 2: e10451. https://doi.org/10.3897/rio.2.e10451
Figure 4 - The WoRCS taxon details page includes taxonomic information, references, vernacular names and distribution data, along with a series of attributes gathering information about morphology, biology, reproduction and ecology of each cave species.
Figure 1 from: Cortés J (2017) Marine biodiversity baseline for Área de Conservación Guanacaste, Costa Rica: published records. ZooKeys 652: 129-179. https://doi.org/10.3897/zookeys.652.10427
Figure 1 - Map of the Área de Conservación Guanacaste (ACG) in the northern Pacific coast of Costa Rica with indication of the sites mentioned in the text. See Table 2 for the codes of the sites. Stars = beaches, triangle = mangrove forests, circle = bays; green = protected area; blue circles = shoals.
State of marine biodiversity knowledge in the Isles of Scilly -
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Figure 2 from: Jażdżewska AM, Corbari L, Driskell A, Frutos I, Havermans C, Hendrycks E, Hughes L, Lörz A-N, Stransky B, Tandberg AHS, Vader W, Brix S (2018) A genetic fingerprint of Amphipoda from Icelandic waters – the baseline for further biodiversity and biogeography studies. In: Brix S, Lörz A-N, Stransky B, Svavarsson J (Eds) Amphipoda from the IceAGE-project (Icelandic marine Animals: Genetics and Ecology). ZooKeys 731: 55–73. https://doi.org/10.3897/zookeys.731.19931
Figure 2 Neighbour-joining (NJ) tree of COI sequences (Suppl. material 1) based on Kimura 2-parameter. Triangles indicate the relative number of individuals studied (height) and sequence divergence (width). The asterisk (*) symbolizes taxa having already published sequences in BOLD/GenBank identified to species level. The numbers in front of the nodes indicate bootstrap support (1000 replicates, only values higher than 50% are presented). The vertical bars represent species delimitations taxonomies obtained from morphology and different species delimitation methods. The same colour indicates the same nominal species. Only the cases where incongruence between different delimitation methods were observed are shown. Note that this tree is not the reconstruction of evolutionary history of presented taxa.
Figure 1 from: Jażdżewska AM, Corbari L, Driskell A, Frutos I, Havermans C, Hendrycks E, Hughes L, Lörz A-N, Stransky B, Tandberg AHS, Vader W, Brix S (2018) A genetic fingerprint of Amphipoda from Icelandic waters – the baseline for further biodiversity and biogeography studies. In: Brix S, Lörz A-N, Stransky B, Svavarsson J (Eds) Amphipoda from the IceAGE-project (Icelandic marine Animals: Genetics and Ecology). ZooKeys 731: 55–73. https://doi.org/10.3897/zookeys.731.19931
Figure 1 Sampling stations. Depth contours are the following: 500 m, 1000 m, 1500 m, 2000 m, 2500 m, 3000 m. Station details are in Suppl. material 1.
Supplementary material 1 from: Bigatti G, Signorelli J (2018) Marine invertebrate biodiversity from the Argentine Sea, South Western Atlantic. ZooKeys 791: 47-70. https://doi.org/10.3897/zookeys.791.22587
List of Valid species reported as living in the Argentine Sea :
Figure 3 from: Bigatti G, Signorelli J (2018) Marine invertebrate biodiversity from the Argentine Sea, South Western Atlantic. ZooKeys 791: 47-70. https://doi.org/10.3897/zookeys.791.22587
Figure 3 Distribution of main taxonomic marine invertebrate groups. The parenthesys after the province indicates the percentage of species mentioned as living in each province. The parenthesys after the phyllum initials indicates the number of species mentioned in the literature.
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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.