cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5061/dryad.34kb373
title: Data from: Identifying drivers of spatial variation in occupancy with limited replication camera trap data

description: Occupancy models are widely used in camera trap studies to analyze species
 presence, abundance, and geographic distribution, among other important
 ecological quantities. These models account for imperfect detection using
 a latent variable to distinguish between true presence/absence and
 observed detection of a species. Under certain experimental setups,
 parameter estimation in a latent variable framework can be challenging.
 Several studies have issued guidelines on the number of independent
 replicated observations (surveys) needed for each unchanging occupancy
 field (season) to ensure reliable estimation. In this paper we present a
 spatio-temporal occupancy model, and show through a simulation study that
 it can be fit to data obtained from a \textit{single} survey per season,
 so long as the number of seasons is sufficiently large. We include an
 application using camera-trap data on the Thomson's gazelle in the
 Serengeti in Tanzania.
description: Serengeti_Thomsons_Gazelle_Application_DataData for the manuscript "Identifying Drivers of Spatial Variation in Occupancy with Limited Replication Camera Trap Data", by Hepler, Staci; Erhardt, Robert; Anderson, T. Michael. Contains data from the Snapshot Serengeti camera trap study. The response variable 'Thomson's Gazelle' is a binary indicator of presence/absence based on the camera trap images. The variable information came from field work, with the exception of NDVI which is based on NASA's MODIS satellite.
DOI: 10.15493/obsdb.0000.0334
title: Sea Temperature - Subsurface, Actual, Degrees Celsius for Estuaries, Multiparameter Meters, Kariega Estuary, Kariega Salinity 15 between 2.16m and 0.00m below sea level from 2021-02-05 to 2026-01-13

description: Sea Temperature - Subsurface, Actual, Degrees Celsius for Estuaries, Multiparameter Meters, Kariega Estuary, Kariega Salinity 15 between 2.16m and 0.00m below sea level from 2021-02-05T11:11:38+02:00 to 2026-01-13T11:07:05+02:00 at -33.625020,26.640880 (+N-S,-W+E)
DOI: 10.15493/obsdb.0000.0328
title: Oxygen - Dissolved Oxygen Saturation, Actual, Percent for Estuaries, Multiparameter Meters, Kariega Estuary, Kariega Salinity 14 between 2.83m and 0.00m below sea level from 2021-02-05 to 2026-01-13

description: Oxygen - Dissolved Oxygen Saturation, Actual, Percent for Estuaries, Multiparameter Meters, Kariega Estuary, Kariega Salinity 14 between 2.83m and 0.00m below sea level from 2021-02-05T11:35:02+02:00 to 2026-01-13T11:10:36+02:00 at -33.629870,26.637990 (+N-S,-W+E)
DOI: 10.15493/obsdb.0000.02ab
title: Sea Temperature - Subsurface, Actual, Degrees Celsius for Estuaries, Multiparameter Meters, Kariega Estuary, Kariega Biological 01 between 7.39m and 0.00m below sea level from 2021-02-05 to 2026-01-13

description: Sea Temperature - Subsurface, Actual, Degrees Celsius for Estuaries, Multiparameter Meters, Kariega Estuary, Kariega Biological 01 between 7.39m and 0.00m below sea level from 2021-02-05T08:34:39+02:00 to 2026-01-13T08:49:42+02:00 at -33.675040,26.675640 (+N-S,-W+E)
DOI: 10.5061/dryad.g551v
title: Data from: Tree mortality across biomes is promoted by drought intensity, lower wood density and higher specific leaf area

description: Drought events are increasing globally, and reports of consequent forest
 mortality are widespread. However, due to a lack of a quantitative global
 synthesis, it is still not clear whether drought-induced mortality rates
 differ among global biomes and whether functional traits influence the
 risk of drought-induced mortality. To address these uncertainties, we
 performed a global meta-analysis of 58 studies of drought-induced forest
 mortality. Mortality rates were modelled as a function of drought,
 temperature, biomes, phylogenetic and functional groups and functional
 traits. We identified a consistent global-scale response, where mortality
 increased with drought severity [log mortality (trees trees−1 year−1)
 increased 0.46 (95% CI = 0.2–0.7) with one SPEI unit drought intensity].
 We found no significant differences in the magnitude of the response
 depending on forest biomes or between angiosperms and gymnosperms or
 evergreen and deciduous tree species. Functional traits explained some of
 the variation in drought responses between species (i.e. increased from 30
 to 37% when wood density and specific leaf area were included). Tree
 species with denser wood and lower specific leaf area showed lower
 mortality responses. Our results illustrate the value of functional traits
 for understanding patterns of drought-induced tree mortality and suggest
 that mortality could become increasingly widespread in the future.
description: Tree mortality
 dataExcel file containing 4
 tabs: mortality data as extracted from publications, annualised mortality
 data used in analysis, single survey proportional data used in analysis
 and trait data used in analysis.All_mortality_data_Greenwoodetal2017_EcologyLetters.xlsx
DOI: 10.15493/obsdb.0000.0329
title: Sea Temperature - Subsurface, Actual, Degrees Celsius for Estuaries, Multiparameter Meters, Kariega Estuary, Kariega Salinity 14 between 2.83m and 0.00m below sea level from 2021-02-05 to 2026-01-13

description: Sea Temperature - Subsurface, Actual, Degrees Celsius for Estuaries, Multiparameter Meters, Kariega Estuary, Kariega Salinity 14 between 2.83m and 0.00m below sea level from 2021-02-05T11:35:02+02:00 to 2026-01-13T11:10:36+02:00 at -33.629870,26.637990 (+N-S,-W+E)
DOI: 10.15493/obsdb.0000.02cf
title: Conductivity, Actual, MicroSiemens per centimetre for Estuaries, Multiparameter Meters, Kariega Estuary, Kariega Salinity 01 between 2.70m and 0.00m below sea level from 2021-02-05 to 2026-01-13

description: Conductivity, Actual, MicroSiemens per centimetre for Estuaries, Multiparameter Meters, Kariega Estuary, Kariega Salinity 01 between 2.70m and 0.00m below sea level from 2021-02-05T12:44:24+02:00 to 2026-01-13T11:50:13+02:00 at -33.679780,26.680400 (+N-S,-W+E)
DOI: 10.15493/obsdb.0000.0300
title: Oxygen - Dissolved Oxygen, Actual, Milligrams per liter for Estuaries, Multiparameter Meters, Kariega Estuary, Kariega Salinity 08 between 3.80m and 0.00m below sea level from 2021-02-05 to 2026-01-13

description: Oxygen - Dissolved Oxygen, Actual, Milligrams per liter for Estuaries, Multiparameter Meters, Kariega Estuary, Kariega Salinity 08 between 3.80m and 0.00m below sea level from 2021-02-05T12:02:59+02:00 to 2026-01-13T11:26:07+02:00 at -33.648520,26.646100 (+N-S,-W+E)
DOI: 10.5061/dryad.ks622
title: Data from: Parental and embryonic experiences with predation risk affect prey offspring behavior and performance

description: Because phenotypic plasticity can operate both within and between
 generations, phenotypic outcomes are often shaped by a complex history of
 environmental signals. For example, parental and embryonic experiences
 with predation risk can both independently and interactively influence
 prey offspring traits early in their life. Parental and embryonic risk
 experiences can also independently shape offspring phenotypes throughout
 an offspring’s ontogeny, but the persistence of their interactive effects
 throughout offspring ontogeny is unknown. We examined the effects of
 parental and embryonic experiences with predation risk on the response of
 one-year-old prey (the carnivorous snail, Nucella lapillus) offspring to
 current predation risk. We found that parental and embryonic risk
 experiences had largely independent effects on offspring performance and
 that these effects were context dependent. Parental experience with risk
 had strong impacts on multiple offspring traits in the presence of current
 risk that generally improved offspring performance under risk, but
 embryonic risk experience had relatively weaker effects and only operated
 in the absence of current risk to reduce offspring growth. These results
 illustrate that past environmental experiences can dynamically shape
 organism phenotypes across ontogeny and that attention to these effects is
 key to a better understanding of predator/prey dynamics in natural
 systems.
description: 1.donelan&trussell.behaviorData used in analysis of refuge use and to construct Fig. 1.2.donelan&trussell.avgforagingData used in analysis of foraging activity and to construct Fig. S1 in Electronic Supplementary Material.3.donelan&trussell.growth&GEData used in analyses of Nucella offspring growth and growth efficiency and to construct Figs. 2 and 3.4.donelan&trussell.musselsRaw data of mussels that were consumed by Nucella offspring during the experiment. Used to calculate total energy consumed by offspring in File 2 and per capita foraging activity and in Fig. S1 in Electronic Supplementary Material.4.donelan&trussell.rawmussels.csv
DOI: 10.15493/obsdb.0000.02c6
title: Conductivity, Actual, MicroSiemens per centimetre for Estuaries, Multiparameter Meters, Kariega Estuary, Kariega Biological 05 between 1.70m and 0.00m below sea level from 2021-02-05 to 2026-01-13

description: Conductivity, Actual, MicroSiemens per centimetre for Estuaries, Multiparameter Meters, Kariega Estuary, Kariega Biological 05 between 1.70m and 0.00m below sea level from 2021-02-05T10:39:50+02:00 to 2026-01-13T10:34:22+02:00 at -33.611800,26.655280 (+N-S,-W+E)
DOI: 10.15493/obsdb.0000.0309
title: Salinity - Subsurface, Actual, Practical Salinity Unit for Estuaries, Multiparameter Meters, Kariega Estuary, Kariega Salinity 09 between 2.55m and 0.00m below sea level from 2021-02-05 to 2026-01-13

description: Salinity - Subsurface, Actual, Practical Salinity Unit for Estuaries, Multiparameter Meters, Kariega Estuary, Kariega Salinity 09 between 2.55m and 0.00m below sea level from 2021-02-05T11:58:14+02:00 to 2026-01-13T11:22:53+02:00 at -33.638930,26.643650 (+N-S,-W+E)
DOI: 10.5061/dryad.60kk5
title: Data from: Present-day genetic structure of Atlantic salmon (Salmo salar) in Icelandic rivers and ice-cap retreat models

description: Due to an improved understanding of past climatological conditions, it has
 now become possible to study the potential concordance between former
 climatological models and present-day genetic structure. Genetic
 variability was assessed in 26 samples from different rivers of Atlantic
 salmon in Iceland (total of 2,352 individuals), using 15 microsatellite
 loci. F-statistics revealed significant differences between the majority
 of the populations that were sampled. Bayesian cluster analyses using both
 prior information and no prior information on sampling location revealed
 the presence of two distinguishable genetic pools - namely, the Northern
 (Group 1) and Southern (Group 2) regions of Iceland. Furthermore, the
 random permutation of different allele sizes among allelic states revealed
 a significant mutational component to the genetic differentiation at four
 microsatellite loci (SsaD144, Ssa171, SSsp2201 and SsaF3), and supported
 the proposition of a historical origin behind the observed variation. The
 estimated time of divergence, using two different ABC methods, suggested
 that the observed genetic pattern originated from between the Last Glacial
 Maximum to the Younger Dryas, which serves as additional evidence of the
 relative immaturity of Icelandic fish populations, on account of the
 re-colonisation of this young environment following the Last Glacial
 Maximum. Additional analyses suggested the presence of several genetic
 entities which were likely to originate from the original groups detected.
description: Microsatellite genotypes
 and sample locationsGenotype information
 from 14 microsatellite loci (SsaF43, Ssa14, Ssa289, Ssa171, Ssa197,
 Ssa202, SSsp1605, SSsp2201, SSsp2210, SSsp2216, SsspG7, SsaD144, SsaD157
 and SSsp3016) for 2028 individuals collected in the field from 26
 locations in Iceland.Salmon_Iceland_DRYAD.xlsx
DOI: 10.15493/obsdb.0000.02b8
title: Salinity - Subsurface, Actual, Practical Salinity Unit for Estuaries, Multiparameter Meters, Kariega Estuary, Kariega Biological 03 between 2.59m and 0.00m below sea level from 2021-02-05 to 2026-01-13

description: Salinity - Subsurface, Actual, Practical Salinity Unit for Estuaries, Multiparameter Meters, Kariega Estuary, Kariega Biological 03 between 2.59m and 0.00m below sea level from 2021-02-05T09:29:10+02:00 to 2026-01-13T09:37:18+02:00 at -33.638930,26.643650 (+N-S,-W+E)
DOI: 10.15493/obsdb.0000.0315
title: Inorganic Carbon - pH, Actual, Potential of Hydrogen for Estuaries, Multiparameter Meters, Kariega Estuary, Kariega Salinity 11 between 2.89m and 0.00m below sea level from 2021-02-05 to 2026-01-13

description: Inorganic Carbon - pH, Actual, Potential of Hydrogen for Estuaries, Multiparameter Meters, Kariega Estuary, Kariega Salinity 11 between 2.89m and 0.00m below sea level from 2021-02-05T11:48:23+02:00 to 2026-01-13T11:17:53+02:00 at -33.632800,26.643410 (+N-S,-W+E)
DOI: 10.15493/obsdb.0000.02fe
title: Turbidity, Actual, Formazin Nephelometric Unit for Estuaries, Multiparameter Meters, Kariega Estuary, Kariega Salinity 08 between 3.80m and 0.00m below sea level from 2021-02-05 to 2026-01-13

description: Turbidity, Actual, Formazin Nephelometric Unit for Estuaries, Multiparameter Meters, Kariega Estuary, Kariega Salinity 08 between 3.80m and 0.00m below sea level from 2021-02-05T12:02:59+02:00 to 2026-01-13T11:26:07+02:00 at -33.648520,26.646100 (+N-S,-W+E)
DOI: 10.5061/dryad.h3g63
title: Data from: Known knowns, known unknowns, unknown unknowns and unknown knowns in DNA barcoding: a comment on Dowton et al.

description: In a recent commentary, Dowton et al. (2014) propose a framework for
 "next-generation" DNA barcoding, whereby multi-locus datasets
 are coupled with coalescent-based species delimitation methods to make
 specimen identifications. They claim single-locus DNA barcoding is
 outdated, and a multilocus approach superior, with their assertions
 supported by an analysis of 33 species of Sarcophaga flesh flies. Here, we
 reanalyse their data and show that a standard DNA barcode analysis is in
 fact capable of identifying 99.8% (all but one) of their Sarcophaga
 specimens, and that their conclusions misrepresent their data. We also
 discuss the benefits and drawbacks to their vision of "next-gen"
 barcoding.
description: R script for Sarcophaga
 reanalysisR script detailing the
 reanalysis of COI data of Sarcophaga species from Dowton et al. (2014;
 http://dx.doi.org/10.1093/sysbio/syu028).dowton-reply.RCOI_correctedFasta file of corrected COI sequences from Dowton et al.
DOI: 10.15493/obsdb.0000.02f8
title: Inorganic Carbon - pH, Actual, Potential of Hydrogen for Estuaries, Multiparameter Meters, Kariega Estuary, Kariega Salinity 07 between 4.10m and 0.00m below sea level from 2021-02-05 to 2026-01-13

description: Inorganic Carbon - pH, Actual, Potential of Hydrogen for Estuaries, Multiparameter Meters, Kariega Estuary, Kariega Salinity 07 between 4.10m and 0.00m below sea level from 2021-02-05T12:08:29+02:00 to 2026-01-13T11:29:07+02:00 at -33.654000,26.652460 (+N-S,-W+E)
DOI: 10.15493/obsdb.0000.0345
title: Salinity - Subsurface, Actual, Practical Salinity Unit for Estuaries, Multiparameter Meters, Kariega Estuary, Kariega Salinity 18 between 1.56m and 0.00m below sea level from 2021-02-05 to 2026-01-13

description: Salinity - Subsurface, Actual, Practical Salinity Unit for Estuaries, Multiparameter Meters, Kariega Estuary, Kariega Salinity 18 between 1.56m and 0.00m below sea level from 2021-02-05T10:57:31+02:00 to 2026-01-13T10:59:17+02:00 at -33.612070,26.640640 (+N-S,-W+E)
DOI: 10.15493/obsdb.0000.0302
title: Conductivity, Actual, MicroSiemens per centimetre for Estuaries, Multiparameter Meters, Kariega Estuary, Kariega Salinity 08 between 3.80m and 0.00m below sea level from 2021-02-05 to 2026-01-13

description: Conductivity, Actual, MicroSiemens per centimetre for Estuaries, Multiparameter Meters, Kariega Estuary, Kariega Salinity 08 between 3.80m and 0.00m below sea level from 2021-02-05T12:02:59+02:00 to 2026-01-13T11:26:07+02:00 at -33.648520,26.646100 (+N-S,-W+E)
DOI: 10.5061/dryad.mb7dd20
title: Data from: Multiple adaptive and non-adaptive processes determine responsiveness to heterospecific alarm calls in African savannah herbivores

description: Heterospecific alarm calls may provide crucial survival benefits shaping
 animal behaviour. Multispecies studies can disentangle the relative
 importance of the various processes determining these benefits, but
 previous studies have included too few species for alternative hypotheses
 to be tested quantitatively in a comprehensive analysis. In a
 community-wide study of African savannah herbivores, we here, for the
 first time to our knowledge, partition alarm responses according to
 distinct aspects of the signaller–receiver relationship and thereby
 uncover the impact of several concurrent adaptive and non-adaptive
 processes. Stronger responses were found to callers who were vulnerable to
 similar predators and who were more consistent in denoting the presence of
 predators of the receiver. Moreover, alarm calls resembling those of
 conspecifics elicited stronger responses, pointing to sensory constraints,
 and increased responsiveness to more abundant callers indicated a role of
 learning. Finally, responses were stronger in risky environments. Our
 findings suggest that mammals can respond adaptively to variation in the
 information provided by heterospecific callers but within the constraints
 imposed by a sensory bias towards conspecific calls and reduced learning
 of less familiar calls. The study thereby provides new insights central to
 understanding the ecological consequences of interspecific communication
 networks in natural communities.
description: Acoustic
 variablesData_Meise et al_ acoustic
 variables.xlsxResponse to alarm
 callsData_Meise et al_playback
 response.xlsx
DOI: 10.15493/obsdb.0000.0340
title: Turbidity, Actual, Formazin Nephelometric Unit for Estuaries, Multiparameter Meters, Kariega Estuary, Kariega Salinity 17 between 2.34m and 0.00m below sea level from 2021-02-05 to 2026-01-13

description: Turbidity, Actual, Formazin Nephelometric Unit for Estuaries, Multiparameter Meters, Kariega Estuary, Kariega Salinity 17 between 2.34m and 0.00m below sea level from 2021-02-05T11:01:58+02:00 to 2026-01-13T11:01:53+02:00 at -33.612320,26.632660 (+N-S,-W+E)
DOI: 10.15493/obsdb.0000.031e
title: Turbidity, Actual, Formazin Nephelometric Unit for Estuaries, Multiparameter Meters, Kariega Estuary, Kariega Salinity 12 between 2.58m and 0.00m below sea level from 2021-02-05 to 2026-01-13

description: Turbidity, Actual, Formazin Nephelometric Unit for Estuaries, Multiparameter Meters, Kariega Estuary, Kariega Salinity 12 between 2.58m and 0.00m below sea level from 2021-02-05T11:44:07+02:00 to 2026-01-13T11:15:35+02:00 at -33.636380,26.644820 (+N-S,-W+E)
DOI: 10.15493/obsdb.0000.02e8
title: Salinity - Subsurface, Actual, Practical Salinity Unit for Estuaries, Multiparameter Meters, Kariega Estuary, Kariega Salinity 05 between 3.56m and 0.00m below sea level from 2021-02-05 to 2026-01-13

description: Salinity - Subsurface, Actual, Practical Salinity Unit for Estuaries, Multiparameter Meters, Kariega Estuary, Kariega Salinity 05 between 3.56m and 0.00m below sea level from 2021-02-05T12:21:13+02:00 to 2026-01-13T11:35:53+02:00 at -33.665840,26.657730 (+N-S,-W+E)
DOI: 10.5061/dryad.6nc19
title: Data from: Discovery and characterization of novel genetic markers for use in the management of Lahontan cutthroat trout (Oncorhynchus clarkii henshawi)

description: The Lahontan cutthroat trout (Oncorhynchus clarkii henshawi) is threatened
 by habitat destruction, over-harvest and hybridization with nonnative
 trout. Currently, three Geographic Management Units (GMUs) are recognized
 within the taxon. Here, we describe a suite of 68 single-nucleotide
 polymorphism (SNP) genetic markers for use in the study and management of
 Lahontan cutthroat trout and a closely related subspecies, the Paiute
 cutthroat trout (O. c. seleneris). These include markers variable within
 the two subspecies (n = 35), diagnostic for the two subspecies (n = 23)
 and diagnostic for Yellowstone cutthroat trout (O. c. bouvieri) and other
 closely related subspecies (n = 10). Sixty-three markers were discovered
 by Sanger sequencing of 171 EST loci in an ascertainment panel including
 Lahontan cutthroat trout from four populations representing all GMUs. Five
 markers were identified in a secondary sequencing effort with a single
 population of Lahontan cutthroat trout. TaqMan assays were validated on
 six Lahontan cutthroat trout populations and a diverse panel of other
 trout. Over 90% of the markers variable in Lahontan cutthroat trout were
 polymorphic in at least two populations, and 66% were variable within all
 three GMUs. All Lahontan diagnostic markers were also fixed for the
 Lahontan allele in Paiute cutthroat trout. Most of the Yellowstone
 diagnostic markers can also be used for this purpose in other cutthroat
 trout subspecies. This is the first set of SNP markers to be developed for
 Lahontan cutthroat trout, and will be an important tool for conservation
 and management.
description: LCT_Suppl_Table_BSNP calls for all Oncorhynchus clarkii and O. mykiss individuals included in the study. SNPs were genotyped using Taqman assays on the Fluidigm EP1 Genotyping System. 'NC' indicates 'No Call': genotype confidence &lt; 80%. 'nr' indicates 'not run': individual not genotyped for this SNP.
DOI: 10.15493/obsdb.0000.02a7
title: Oxygen - Dissolved Oxygen, Actual, Milligrams per liter for Estuaries, Multiparameter Meters, Kariega Estuary, Kariega Biological 01 between 7.39m and 0.00m below sea level from 2021-02-05 to 2026-01-13

description: Oxygen - Dissolved Oxygen, Actual, Milligrams per liter for Estuaries, Multiparameter Meters, Kariega Estuary, Kariega Biological 01 between 7.39m and 0.00m below sea level from 2021-02-05T08:34:39+02:00 to 2026-01-13T08:49:42+02:00 at -33.675040,26.675640 (+N-S,-W+E)
DOI: 10.15493/obsdb.0000.02d0
title: Salinity - Subsurface, Actual, Practical Salinity Unit for Estuaries, Multiparameter Meters, Kariega Estuary, Kariega Salinity 01 between 2.70m and 0.00m below sea level from 2021-02-05 to 2026-01-13

description: Salinity - Subsurface, Actual, Practical Salinity Unit for Estuaries, Multiparameter Meters, Kariega Estuary, Kariega Salinity 01 between 2.70m and 0.00m below sea level from 2021-02-05T12:44:24+02:00 to 2026-01-13T11:50:13+02:00 at -33.679780,26.680400 (+N-S,-W+E)
DOI: 10.15493/obsdb.0000.02d4
title: Conductivity, Actual, MicroSiemens per centimetre for Estuaries, Multiparameter Meters, Kariega Estuary, Kariega Salinity 02 between 6.90m and 0.01m below sea level from 2021-02-05 to 2026-01-13

description: Conductivity, Actual, MicroSiemens per centimetre for Estuaries, Multiparameter Meters, Kariega Estuary, Kariega Salinity 02 between 6.90m and 0.01m below sea level from 2021-02-05T12:34:15+02:00 to 2026-01-13T11:44:38+02:00 in area -33.675040,26.675640 (N,W) -33.679780,26.680400 (S,E) (+N-S,-W+E)
DOI: 10.15493/obsdb.0000.0323
title: Inorganic Carbon - pH, Actual, Potential of Hydrogen for Estuaries, Multiparameter Meters, Kariega Estuary, Kariega Salinity 13 between 2.84m and 0.00m below sea level from 2021-02-05 to 2026-01-13

description: Inorganic Carbon - pH, Actual, Potential of Hydrogen for Estuaries, Multiparameter Meters, Kariega Estuary, Kariega Salinity 13 between 2.84m and 0.00m below sea level from 2021-02-05T11:39:45+02:00 to 2026-01-13T11:12:59+02:00 at -33.629600,26.643230 (+N-S,-W+E)
DOI: 10.15493/obsdb.0000.032e
title: Oxygen - Dissolved Oxygen Saturation, Actual, Percent for Estuaries, Multiparameter Meters, Kariega Estuary, Kariega Salinity 15 between 2.16m and 0.00m below sea level from 2021-02-05 to 2026-01-13

description: Oxygen - Dissolved Oxygen Saturation, Actual, Percent for Estuaries, Multiparameter Meters, Kariega Estuary, Kariega Salinity 15 between 2.16m and 0.00m below sea level from 2021-02-05T11:11:38+02:00 to 2026-01-13T11:07:05+02:00 at -33.625020,26.640880 (+N-S,-W+E)