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• {"link"=>{"url"=>"http://www.citeulike.org/user/ltitodem/article/10221329"}, "post_time"=>"2012-01-14 11:22:54", "tag"=>["australia", "biodiversity", "contaminants", "diversity", "estuaries", "metals", "pollution", "shannon-index"], "linkout"=>{"type"=>"DOI", "url"=>"http://dx.doi.org/10.1371/journal.pone.0026353"}, "username"=>"ltitodem", "article_id"=>"10221329"}

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{"title"=>"High levels of sediment contamination have little influence on estuarine beach fish communities", "type"=>"journal", "authors"=>[{"first_name"=>"Andrew C.", "last_name"=>"McKinley", "scopus_author_id"=>"36768489400"}, {"first_name"=>"Katherine A.", "last_name"=>"Dafforn", "scopus_author_id"=>"24334916100"}, {"first_name"=>"Matthew D.", "last_name"=>"Taylor", "scopus_author_id"=>"55675015500"}, {"first_name"=>"Emma L.", "last_name"=>"Johnston", "scopus_author_id"=>"56271208800"}], "year"=>2011, "source"=>"PLoS ONE", "identifiers"=>{"issn"=>"19326203", "scopus"=>"2-s2.0-80054788008", "sgr"=>"80054788008", "pui"=>"362778079", "isbn"=>"1932-6203", "pmid"=>"22039470", "doi"=>"10.1371/journal.pone.0026353"}, "id"=>"b5682be3-9736-38dc-9a98-e478164275f4", "abstract"=>"While contaminants are predicted to have measurable impacts on fish assemblages, studies have rarely assessed this potential in the context of natural variability in physico-chemical conditions within and between estuaries. We investigated links between the distribution of sediment contamination (metals and PAHs), physico-chemical variables (pH, salinity, temperature, turbidity) and beach fish assemblages in estuarine environments. Fish communities were sampled using a beach seine within the inner and outer zones of six estuaries that were either heavily modified or relatively unmodified by urbanization and industrial activity. All sampling was replicated over two years with two periods sampled each year. Shannon diversity, biomass and abundance were all significantly higher in the inner zone of estuaries while fish were larger on average in the outer zone. Strong differences in community composition were also detected between the inner and outer zones. Few differences were detected between fish assemblages in heavily modified versus relatively unmodified estuaries despite high concentrations of sediment contaminants in the inner zones of modified estuaries that exceeded recognized sediment quality guidelines. Trends in species distributions, community composition, abundance, Shannon diversity, and average fish weight were strongly correlated to physico-chemical variables and showed a weaker relationship to sediment metal contamination. Sediment PAH concentrations were not significantly related to the fish assemblage. These findings suggest that variation in some physico-chemical factors (salinity, temperature, pH) or variables that co-vary with these factors (e.g., wave activity or grain size) have a much greater influence on this fish assemblage than anthropogenic stressors such as contamination.", "link"=>"http://www.mendeley.com/research/high-levels-sediment-contamination-little-influence-estuarine-beach-fish-communities", "reader_count"=>30, "reader_count_by_academic_status"=>{"Unspecified"=>1, "Researcher"=>9, "Student > Doctoral Student"=>2, "Student > Ph. D. Student"=>10, "Student > Postgraduate"=>1, "Student > Master"=>4, "Other"=>2, "Student > Bachelor"=>1}, "reader_count_by_user_role"=>{"Unspecified"=>1, "Researcher"=>9, "Student > Doctoral Student"=>2, "Student > Ph. D. Student"=>10, "Student > Postgraduate"=>1, "Student > Master"=>4, "Other"=>2, "Student > Bachelor"=>1}, "reader_count_by_subject_area"=>{"Unspecified"=>1, "Engineering"=>1, "Environmental Science"=>9, "Agricultural and Biological Sciences"=>17, "Chemistry"=>2}, "reader_count_by_subdiscipline"=>{"Engineering"=>{"Engineering"=>1}, "Chemistry"=>{"Chemistry"=>2}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>17}, "Unspecified"=>{"Unspecified"=>1}, "Environmental Science"=>{"Environmental Science"=>9}}, "reader_count_by_country"=>{"Cambodia"=>1, "United States"=>1, "Brazil"=>1, "Italy"=>1, "Mexico"=>1, "Australia"=>2}, "group_count"=>0}

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CrossRef

• http://doi.org/10.1016/j.envpol.2014.09.017
• http://doi.org/10.1371/journal.pone.0095680
• http://doi.org/10.1016/j.jenvman.2020.111529
• http://doi.org/10.1371/journal.pone.0039690
• http://doi.org/10.1016/j.scitotenv.2012.02.007
• http://doi.org/10.1111/1462-2920.12133
• http://doi.org/10.3390/jmse4020041
• http://doi.org/10.1007/s10750-017-3487-6
• http://doi.org/10.3389/fmars.2015.00042
• http://doi.org/10.1016/j.chemosphere.2017.12.115
• http://doi.org/10.3354/meps13081
• http://doi.org/10.1016/j.marpolbul.2020.111263

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• 3994098

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Figshare

• {"files"=>["https://ndownloader.figshare.com/files/722408"], "description"=>"<p>Including a) Temperature, b) Salinity, c) pH, d) Mean Quotient of Sediment Metals, and e) Mean Quotient of Sediment PAH values.</p>", "links"=>[], "tags"=>["physico-chemical", "sediment", "contaminant", "variables"], "article_id"=>392773, "categories"=>["Inorganic Chemistry", "Biochemistry", "Chemistry", "Ecology"], "users"=>["Andrew C. McKinley", "Katherine A. Dafforn", "Matthew D. Taylor", "Emma L. Johnston"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0026353.g002", "stats"=>{"downloads"=>0, "page_views"=>1, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Mean_177_SE_physico_chemical_and_sediment_contaminant_variables_by_zone_and_estuary_/392773", "title"=>"Mean (±SE) physico-chemical and sediment contaminant variables by zone and estuary.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2011-10-19 00:46:13"}
• {"files"=>["https://ndownloader.figshare.com/files/723126"], "description"=>"<p>Results of DistLM covariate analysis for a) Physico-chemical covariates and sediment metals in the full model and d) Physico-chemical covariates, sediment metals, and sediment PAH under a reduced model (inner zone only).</p>", "links"=>[], "tags"=>["distlm", "covariate", "physico-chemical", "covariates", "sediment", "metals", "pah", "reduced"], "article_id"=>393480, "categories"=>["Inorganic Chemistry", "Biochemistry", "Chemistry", "Ecology"], "users"=>["Andrew C. McKinley", "Katherine A. Dafforn", "Matthew D. Taylor", "Emma L. Johnston"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0026353.t007", "stats"=>{"downloads"=>0, "page_views"=>1, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Results_of_DistLM_covariate_analysis_for_a_Physico_chemical_covariates_and_sediment_metals_in_the_full_model_and_d_Physico_chemical_covariates_sediment_metals_and_sediment_PAH_under_a_reduced_model_inner_zone_only_/393480", "title"=>"Results of DistLM covariate analysis for a) Physico-chemical covariates and sediment metals in the full model and d) Physico-chemical covariates, sediment metals, and sediment PAH under a reduced model (inner zone only).", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2011-10-19 00:58:00"}
• {"files"=>["https://ndownloader.figshare.com/files/723055"], "description"=>"<p>Factors: Dis = Disturbance Category (Heavily Modified vs. Relatively Unmodified), Zo = Zone (Inner vs. Outer), Ti = Time of Sampling, Ye = Year, Es = Estuary, Si = Site. Bold values correspond to significant values for higher-level factors or interactions between non-random factors.</p>", "links"=>[], "tags"=>["chemistry", "ecology", "marine and aquatic sciences", "Biochemistry"], "article_id"=>393417, "categories"=>["Inorganic Chemistry", "Biochemistry", "Chemistry", "Ecology"], "users"=>["Andrew C. McKinley", "Katherine A. Dafforn", "Matthew D. Taylor", "Emma L. Johnston"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0026353.t005", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Multivariate_analysis_of_community_composition_in_the_full_model_/393417", "title"=>"Multivariate analysis of community composition in the full model.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2011-10-19 00:56:57"}
• {"files"=>["https://ndownloader.figshare.com/files/723194"], "description"=>"<p>Factors: Dis = Disturbance Category (Heavily Modified vs. Relatively Unmodified), Ti = Time of Sampling, Ye = Year, Es = Estuary, Si = Site. Bold values correspond to significant values for higher-level factors or interactions between non-random factors.</p><p>*Indicates Monte Carlo p value.</p>", "links"=>[], "tags"=>["reduced"], "article_id"=>393554, "categories"=>["Inorganic Chemistry", "Biochemistry", "Chemistry", "Ecology"], "users"=>["Andrew C. McKinley", "Katherine A. Dafforn", "Matthew D. Taylor", "Emma L. Johnston"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0026353.t008", "stats"=>{"downloads"=>1, "page_views"=>3, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Multivariate_analysis_of_community_composition_under_a_reduced_model_inner_zone_only_/393554", "title"=>"Multivariate analysis of community composition under a reduced model (inner zone only).", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2011-10-19 00:59:14"}
• {"files"=>["https://ndownloader.figshare.com/files/722753"], "description"=>"<p>a) Overlaid with physico-chemical and sediment metal vectors. b) Overlaid with vectors of top six species contributing to differences between zones. (Multiple Correlation >0.2).</p>", "links"=>[], "tags"=>["coordinated", "ordination", "correlations", "covariate", "factors", "dimensional", "plots"], "article_id"=>393110, "categories"=>["Inorganic Chemistry", "Biochemistry", "Chemistry", "Ecology"], "users"=>["Andrew C. McKinley", "Katherine A. Dafforn", "Matthew D. Taylor", "Emma L. Johnston"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0026353.g006", "stats"=>{"downloads"=>1, "page_views"=>2, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Principal_Coordinated_Ordination_PCO_of_correlations_between_covariate_factors_and_two_dimensional_plots_of_community_composition_by_zone_/393110", "title"=>"Principal Coordinated Ordination (PCO) of correlations between covariate factors and two dimensional plots of community composition by zone.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2011-10-19 00:51:50"}
• {"files"=>["https://ndownloader.figshare.com/files/722942"], "description"=>"<p>a) Temperature, b) Salinity, c) pH, and d) Turbidity. Factors: Dis = Disturbance Category (Heavily Modified vs. Relatively Unmodified), Zo = Zone (Inner vs. Outer), Ti = Time of Sampling, Ye = Year, Es = Estuary, Si = Site. Bold values correspond to significant values for higher-level factors or interactions between non-random factors.</p>", "links"=>[], "tags"=>["physico-chemical", "variables", "estuary"], "article_id"=>393305, "categories"=>["Inorganic Chemistry", "Biochemistry", "Chemistry", "Ecology"], "users"=>["Andrew C. McKinley", "Katherine A. Dafforn", "Matthew D. Taylor", "Emma L. Johnston"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0026353.t001", "stats"=>{"downloads"=>0, "page_views"=>2, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Univariate_analysis_of_physico_chemical_variables_and_estuary_size_covariates_/393305", "title"=>"Univariate analysis of physico-chemical variables and estuary size covariates.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2011-10-19 00:55:05"}
• {"files"=>["https://ndownloader.figshare.com/files/722503"], "description"=>"<p>Including a) Species Richness, b) Shannon Diversity, c) Biomass, d) Average Fish Weight, e) Year 1 Abundance, f) Year 2 Abundance.</p>", "links"=>[], "tags"=>["indicators"], "article_id"=>392866, "categories"=>["Inorganic Chemistry", "Biochemistry", "Chemistry", "Ecology"], "users"=>["Andrew C. McKinley", "Katherine A. Dafforn", "Matthew D. Taylor", "Emma L. Johnston"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0026353.g003", "stats"=>{"downloads"=>1, "page_views"=>11, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Mean_177_SE_community_level_indicators_by_zone_estuary_/392866", "title"=>"Mean (±SE) community level indicators by zone/estuary.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2011-10-19 00:47:46"}
• {"files"=>["https://ndownloader.figshare.com/files/723020"], "description"=>"<p>Factors: Dis = Disturbance Category (Heavily Modified vs. Relatively Unmodified), Zo = Zone (Inner vs. Outer), Es = Estuary, Si = Site. Bold values correspond to significant values for higher-level factors or interactions between non-random factors.</p><p>*Indicates Monte Carlo p value.</p>", "links"=>[], "tags"=>["sediment", "metals", "quotient"], "article_id"=>393384, "categories"=>["Inorganic Chemistry", "Biochemistry", "Chemistry", "Ecology"], "users"=>["Andrew C. McKinley", "Katherine A. Dafforn", "Matthew D. Taylor", "Emma L. Johnston"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0026353.t002", "stats"=>{"downloads"=>0, "page_views"=>1, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Univariate_analysis_of_sediment_metals_quotient_in_the_full_model_/393384", "title"=>"Univariate analysis of sediment metals quotient in the full model.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2011-10-19 00:56:24"}
• {"files"=>["https://ndownloader.figshare.com/files/723081"], "description"=>"<p>Factors: Dis = Disturbance Category (Heavily Modified vs. Relatively Unmodified), Zo = Zone (Inner vs. Outer), Ti = Time of Sampling, Ye = Year, Es = Estuary, Si = Site. Bold values correspond to significant values for higher-level factors or interactions between non-random factors.</p>", "links"=>[], "tags"=>["shannon"], "article_id"=>393449, "categories"=>["Inorganic Chemistry", "Biochemistry", "Chemistry", "Ecology"], "users"=>["Andrew C. McKinley", "Katherine A. Dafforn", "Matthew D. Taylor", "Emma L. Johnston"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0026353.t004", "stats"=>{"downloads"=>0, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Univariate_analysis_of_a_Species_Richness_b_Shannon_Diversity_c_Biomass_d_Average_Fish_Weight_and_e_Abundance_/393449", "title"=>"Univariate analysis of a) Species Richness, b) Shannon Diversity, c) Biomass, d) Average Fish Weight, and e) Abundance.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2011-10-19 00:57:29"}
• {"files"=>["https://ndownloader.figshare.com/files/723165"], "description"=>"<p>Factors: Dis = Disturbance Category (Heavily Modified vs. Relatively Unmodified), Zo = Zone (Inner vs. Outer), Ti = Time of Sampling, Ye = Year, Es = Estuary, Si = Site. Bold values correspond to significant values for higher-level factors or interactions between non-random factors.</p>", "links"=>[], "tags"=>["abundance", "contributing", "differences", "zones", "ambassis", "favonigobius", "gerres", "myxus", "sillago"], "article_id"=>393514, "categories"=>["Inorganic Chemistry", "Biochemistry", "Chemistry", "Ecology"], "users"=>["Andrew C. McKinley", "Katherine A. Dafforn", "Matthew D. Taylor", "Emma L. Johnston"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0026353.t006", "stats"=>{"downloads"=>0, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Univariate_analysis_of_the_abundance_of_the_top_six_species_contributing_to_differences_between_zones_a_Ambassis_jacksoniensis_b_Favonigobius_lentiginosus_c_Gerres_subfasciatus_d_Myxus_elongatus_e_Sillago_ciliata_and_f_Sillago_sp_/393514", "title"=>"Univariate analysis of the abundance of the top six species contributing to differences between zones a) Ambassis jacksoniensis, b) Favonigobius lentiginosus, c) Gerres subfasciatus, d) Myxus elongatus, e) Sillago ciliata, and f) Sillago sp.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2011-10-19 00:58:34"}
• {"files"=>["https://ndownloader.figshare.com/files/722859"], "description"=>"<p>Data from inner zone sites only. a) Physico-chemical, sediment metals, and sediment PAH covariates. b) Plots of six highest correlating species (Multiple Correlation >0.2). Community composition does not differ significantly by disturbance category but is presented for graphical purposes (p = 0.437).</p>", "links"=>[], "tags"=>["coordinated", "ordination", "correlations", "covariate", "factors", "dimensional", "plots", "disturbance"], "article_id"=>393214, "categories"=>["Inorganic Chemistry", "Biochemistry", "Chemistry", "Ecology"], "users"=>["Andrew C. McKinley", "Katherine A. Dafforn", "Matthew D. Taylor", "Emma L. Johnston"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0026353.g007", "stats"=>{"downloads"=>1, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Principal_Coordinated_Ordination_PCO_of_correlations_between_covariate_factors_and_two_dimensional_plots_of_community_composition_by_disturbance_category_/393214", "title"=>"Principal Coordinated Ordination (PCO) of correlations between covariate factors and two dimensional plots of community composition by disturbance category.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2011-10-19 00:53:34"}
• {"files"=>["https://ndownloader.figshare.com/files/722650"], "description"=>"<p>Plots of top six species contributing to differences between inner and outer zones.</p>", "links"=>[], "tags"=>["abundance", "100", "seine"], "article_id"=>393009, "categories"=>["Inorganic Chemistry", "Biochemistry", "Chemistry", "Ecology"], "users"=>["Andrew C. McKinley", "Katherine A. Dafforn", "Matthew D. Taylor", "Emma L. Johnston"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0026353.g005", "stats"=>{"downloads"=>4, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Mean_SE_abundance_by_zone_estuary_for_100_m_2_beach_seine_samples_/393009", "title"=>"Mean (±SE) abundance by zone/estuary for 100 m² beach seine samples.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2011-10-19 00:50:09"}
• {"files"=>["https://ndownloader.figshare.com/files/722590"], "description"=>"<p>Symbols represent centroids of the assemblage composition. Stress value of 0.24 represents a relatively weak ordination of the multivariate data, which is not the result of dispersion (p = 0.625).</p>", "links"=>[], "tags"=>["dimensional", "mds", "multivariate", "assemblage"], "article_id"=>392946, "categories"=>["Inorganic Chemistry", "Biochemistry", "Chemistry", "Ecology"], "users"=>["Andrew C. McKinley", "Katherine A. Dafforn", "Matthew D. Taylor", "Emma L. Johnston"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0026353.g004", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Two_dimensional_MDS_plot_of_multivariate_assemblage_composition_by_zone_/392946", "title"=>"Two dimensional MDS plot of multivariate assemblage composition by zone.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2011-10-19 00:49:06"}
• {"files"=>["https://ndownloader.figshare.com/files/365969"], "description"=>"<div><p>While contaminants are predicted to have measurable impacts on fish assemblages, studies have rarely assessed this potential in the context of natural variability in physico-chemical conditions within and between estuaries. We investigated links between the distribution of sediment contamination (metals and PAHs), physico-chemical variables (pH, salinity, temperature, turbidity) and beach fish assemblages in estuarine environments. Fish communities were sampled using a beach seine within the inner and outer zones of six estuaries that were either heavily modified or relatively unmodified by urbanization and industrial activity. All sampling was replicated over two years with two periods sampled each year. Shannon diversity, biomass and abundance were all significantly higher in the inner zone of estuaries while fish were larger on average in the outer zone. Strong differences in community composition were also detected between the inner and outer zones. Few differences were detected between fish assemblages in heavily modified versus relatively unmodified estuaries despite high concentrations of sediment contaminants in the inner zones of modified estuaries that exceeded recognized sediment quality guidelines. Trends in species distributions, community composition, abundance, Shannon diversity, and average fish weight were strongly correlated to physico-chemical variables and showed a weaker relationship to sediment metal contamination. Sediment PAH concentrations were not significantly related to the fish assemblage. These findings suggest that variation in some physico-chemical factors (salinity, temperature, pH) or variables that co-vary with these factors (e.g., wave activity or grain size) have a much greater influence on this fish assemblage than anthropogenic stressors such as contamination.</p> </div>", "links"=>[], "tags"=>["levels", "sediment", "contamination", "estuarine", "communities"], "article_id"=>132341, "categories"=>["Inorganic Chemistry", "Biochemistry", "Chemistry", "Ecology"], "users"=>["Andrew C. McKinley", "Katherine A. Dafforn", "Matthew D. Taylor", "Emma L. Johnston"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0026353", "stats"=>{"downloads"=>6, "page_views"=>2, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/High_Levels_of_Sediment_Contamination_Have_Little_Influence_on_Estuarine_Beach_Fish_Communities/132341", "title"=>"High Levels of Sediment Contamination Have Little Influence on Estuarine Beach Fish Communities", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2011-10-19 00:39:01"}
• {"files"=>["https://ndownloader.figshare.com/files/722351"], "description"=>"<p>Filled diamonds (♦) indicates outer zone sites. Filled circles (•) indicates inner zone sites.</p>", "links"=>[], "tags"=>["sites", "focal", "jackson", "Botany", "hacking", "kembla", "jervis", "clyde"], "article_id"=>392694, "categories"=>["Inorganic Chemistry", "Biochemistry", "Chemistry", "Ecology"], "users"=>["Andrew C. McKinley", "Katherine A. Dafforn", "Matthew D. Taylor", "Emma L. Johnston"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0026353.g001", "stats"=>{"downloads"=>1, "page_views"=>12, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Location_of_study_sites_in_the_six_focal_estuaries_a_Port_Jackson_heavily_modified_b_Botany_Bay_heavily_modified_c_Port_Hacking_relatively_unmodified_d_Port_Kembla_heavily_modified_e_Jervis_Bay_relatively_unmodified_and_f_Clyde_River_relatively_unmodifie/392694", "title"=>"Location of study sites in the six focal estuaries: a) Port Jackson (heavily modified), b) Botany Bay (heavily modified), c) Port Hacking (relatively unmodified), d) Port Kembla (heavily modified), e) Jervis Bay (relatively unmodified), and f) Clyde River (relatively unmodified).", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2011-10-19 00:44:54"}
• {"files"=>["https://ndownloader.figshare.com/files/722985"], "description"=>"<p>Factors: Dis = Disturbance Category (Heavily Modified vs. Relatively Unmodified), Es = Estuary, Si = Site. Bold values correspond to significant values for higher-level factors or interactions between non-random factors.</p><p>*Indicates Monte Carlo p value.</p>", "links"=>[], "tags"=>["sediment", "metals", "quotient", "pah", "reduced"], "article_id"=>393342, "categories"=>["Inorganic Chemistry", "Biochemistry", "Chemistry", "Ecology"], "users"=>["Andrew C. McKinley", "Katherine A. Dafforn", "Matthew D. Taylor", "Emma L. Johnston"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0026353.t003", "stats"=>{"downloads"=>0, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Univariate_analysis_of_a_sediment_metals_quotient_and_b_sediment_PAH_quotient_under_a_reduced_model_inner_zone_only_/393342", "title"=>"Univariate analysis of a) sediment metals quotient and b) sediment PAH quotient under a reduced model (inner zone only).", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2011-10-19 00:55:42"}

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• {"unique-ip"=>"4", "full-text"=>"5", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"9"}
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Relative Metric

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F1000Prime