cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.7228577
title: Re-description of the growth pattern of four decapod species by information theory

description: The growth pattern of four commercial decapod crustacean species (<i>Arenaeus cribrarius, Ucides cordatus, Palaemon longirostris</i> and <i>Plesionika izumiae</i>) was reanalyzed using published data. Six candidate growth models with asymptotic and non-asymptotic characteristics were tested. The best model was determined by information theory, according to Bayesian (BIC) and Akaike (AICc) information criteria and the weight of evidence in favour of model i (Wi). For <i>U. cordatus, P. izumiae</i> and the females of <i>A. cribrarius,</i> the best growth model corresponded to case 1 of Schnute model. In male <i>A. cribrarius</i>, the highest Wi was observed for the case 1 of Schnute model according to both criteria, but seasonal models were also plausible to describe growth. In <i>P. longirostris</i>, discrepancies were observed between criteria. The BIC supported the case 1 of Schnute in females, but the AICc did not identify a winner model (Wi &gt; 90%); the case 1 and case 4 of Schnute displayed the highest Wi. The males that exhibited the highest Wi values were Schnute case 4 &gt; Schnute case 3 &gt; von Bertalanffy &gt; Gompertz &gt; Logistic. This study highlights the importance of considering different assumptions in growth patterns of the species and does not impose any a priori mathematical framework to available data. <b>Abbreviations:</b> AIC: Akaike Information Criterion. BIC: Bayesian Information Criterion <b>Impact Statement</b>The multi-model approach improves the model selection based on information criteria to re-describe patterns of growth in some decapod crustaceans.The von Bertalanffy growth model is not appropriate to describe the growth pattern based on the available data.The growth patterns found were asymptotic and not asymptotic, described mainly through the Schnute model. The multi-model approach improves the model selection based on information criteria to re-describe patterns of growth in some decapod crustaceans. The von Bertalanffy growth model is not appropriate to describe the growth pattern based on the available data. The growth patterns found were asymptotic and not asymptotic, described mainly through the Schnute model.
DOI: 10.6084/m9.figshare.7228577.v1
title: Re-description of the growth pattern of four decapod species by information theory

description: The growth pattern of four commercial decapod crustacean species (<i>Arenaeus cribrarius, Ucides cordatus, Palaemon longirostris</i> and <i>Plesionika izumiae</i>) was reanalyzed using published data. Six candidate growth models with asymptotic and non-asymptotic characteristics were tested. The best model was determined by information theory, according to Bayesian (BIC) and Akaike (AICc) information criteria and the weight of evidence in favour of model i (Wi). For <i>U. cordatus, P. izumiae</i> and the females of <i>A. cribrarius,</i> the best growth model corresponded to case 1 of Schnute model. In male <i>A. cribrarius</i>, the highest Wi was observed for the case 1 of Schnute model according to both criteria, but seasonal models were also plausible to describe growth. In <i>P. longirostris</i>, discrepancies were observed between criteria. The BIC supported the case 1 of Schnute in females, but the AICc did not identify a winner model (Wi &gt; 90%); the case 1 and case 4 of Schnute displayed the highest Wi. The males that exhibited the highest Wi values were Schnute case 4 &gt; Schnute case 3 &gt; von Bertalanffy &gt; Gompertz &gt; Logistic. This study highlights the importance of considering different assumptions in growth patterns of the species and does not impose any a priori mathematical framework to available data. <b>Abbreviations:</b> AIC: Akaike Information Criterion. BIC: Bayesian Information Criterion <b>Impact Statement</b>The multi-model approach improves the model selection based on information criteria to re-describe patterns of growth in some decapod crustaceans.The von Bertalanffy growth model is not appropriate to describe the growth pattern based on the available data.The growth patterns found were asymptotic and not asymptotic, described mainly through the Schnute model. The multi-model approach improves the model selection based on information criteria to re-describe patterns of growth in some decapod crustaceans. The von Bertalanffy growth model is not appropriate to describe the growth pattern based on the available data. The growth patterns found were asymptotic and not asymptotic, described mainly through the Schnute model.
DOI: 10.7284/126160
title: GNSS (Global Navigation Satellite System) data collected during research cruise SP1622 using a Furuno GP-150 instrument system onboard the platform RV Robert Gordon Sproul

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/126156
title: Gyrocompass data collected during research cruise SP1622 using a Furuno Furuno SC-30 instrument system onboard the platform RV Robert Gordon Sproul

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7228559
title: Dataset for: Sample size estimation for case-crossover studies

description: Case-crossover study designs are observational studies used to assess post-market safety of medical products (e.g. vaccines or drugs). As a case-crossover study is self-controlled, its advantages include better control for confounding because the design controls for any time-invariant measured and unmeasured confounding, and potentially greater feasibility as only data from those experiencing an event (or cases) is required. However, self-matching also introduces correlation between case and control periods within a subject or matched unit. To estimate sample size in a case-crossover study, investigators currently use Dupont’s formula (Biometrics 1988; 43:1157- 1168), which was originally developed for a matched case-control study. This formula is relevant as it takes into account correlation in exposure between controls and cases which are expected to be high in self-controlled studies. However, in our study, we show that Dupont’s formula and other currently used methods to determine sample size for case-crossover studies may be inadequate. Specifically, these formulae tend to underestimate the true required sample size, determined through simulations, for a range of values in the parameter space. We present mathematical derivations to explain where some currently used methods fail and propose two new sample size estimation methods that provide a more accurate estimate of the true required sample size.
DOI: 10.6084/m9.figshare.7228559.v1
title: Dataset for: Sample size estimation for case-crossover studies

description: Case-crossover study designs are observational studies used to assess post-market safety of medical products (e.g. vaccines or drugs). As a case-crossover study is self-controlled, its advantages include better control for confounding because the design controls for any time-invariant measured and unmeasured confounding, and potentially greater feasibility as only data from those experiencing an event (or cases) is required. However, self-matching also introduces correlation between case and control periods within a subject or matched unit. To estimate sample size in a case-crossover study, investigators currently use Dupont’s formula (Biometrics 1988; 43:1157- 1168), which was originally developed for a matched case-control study. This formula is relevant as it takes into account correlation in exposure between controls and cases which are expected to be high in self-controlled studies. However, in our study, we show that Dupont’s formula and other currently used methods to determine sample size for case-crossover studies may be inadequate. Specifically, these formulae tend to underestimate the true required sample size, determined through simulations, for a range of values in the parameter space. We present mathematical derivations to explain where some currently used methods fail and propose two new sample size estimation methods that provide a more accurate estimate of the true required sample size.
DOI: 10.7284/126155
title: Meteorological Station data collected during research cruise SP1622 using a SIO MET-System instrument system onboard the platform RV Robert Gordon Sproul

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/126154
title: Winch data collected during research cruise SP1622 using a Markey DEYSH-3 instrument system onboard the platform RV Robert Gordon Sproul

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/126178
title: GNSS (Global Navigation Satellite System) data collected during research cruise SP1701 using a Garmin GPS-17HVS instrument system onboard the platform RV Robert Gordon Sproul

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7228466
title: Do you have to be afraid of controversial programs when advertising? The influence of sponsorship vignette context, awareness and controversial TV program viewers’ loyalty on purchase intent

description: Do you have to be afraid of controversial programs when advertising? The influence of sponsorship vignette context, awareness and controversial TV program viewers’ loyalty on purchase intent Marketers use different influencing techniques such as non-standard forms of advertising to reduce ad avoidance. Sponsorship vignette is one of such nonstandard types of advertising. Despite the advantages of this form of advertising, advertisers are afraid of placing vignettes in the context of popular but controversial programs on lifestyle channels due to the presence of content (e.g. reports from autopsy, consequences of heroin addiction etc.) that can evoke negative emotions. Advertisers claimed that placing their sponsorship vignettes in the context of such controversial programs would reduce their performance understood as viewers’ willingness to purchase the advertised product. Two studies were conducted in the field of hedonic and utilitarian product categories to support or challenge the concerns of advertisers (n = 222, n = 219). The reported studies focused on the influence of loyalty toward program content, sponsorship vignette awareness and context type (congruent vs. incongruent) on the purchase intent for the sponsorship vignette in hedonic (Study 1) and utilitarian (Study 2) product categories. The results contradict marketers' fears that the sponsorship vignette placed in an incongruent context of controversial program content will be less effective. In the case of hedonic and utilitarian product, the concern turned out to be unfounded. The context type had no significant impact on purchase intent. However, results show a positive effect of loyalty toward programs. Viewers loyal to the program showed a higher purchase intent than disloyal viewers. Moreover, viewers who knew the sponsorship vignette from TV before the survey were more eager to buy a hedonic product. This effect did not occur in the case of utilitarian products.
DOI: 10.6084/m9.figshare.7228463
title: Electronic Supplementary Material S1 from Indirect effects of climate change altered the cannibalistic behaviour of shell-drilling gastropods in Antarctica during the Eocene

description: Raw data
DOI: 10.7284/126179
title: GNSS (Global Navigation Satellite System) data collected during research cruise SP1701 using a Ashtech ADU2 instrument system onboard the platform RV Robert Gordon Sproul

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7228463.v1
title: Electronic Supplementary Material S1 from Indirect effects of climate change altered the cannibalistic behaviour of shell-drilling gastropods in Antarctica during the Eocene

description: Raw data
DOI: 10.6084/m9.figshare.7228466.v1
title: Do you have to be afraid of controversial programs when advertising? The influence of sponsorship vignette context, awareness and controversial TV program viewers’ loyalty on purchase intent

description: Do you have to be afraid of controversial programs when advertising? The influence of sponsorship vignette context, awareness and controversial TV program viewers’ loyalty on purchase intent Marketers use different influencing techniques such as non-standard forms of advertising to reduce ad avoidance. Sponsorship vignette is one of such nonstandard types of advertising. Despite the advantages of this form of advertising, advertisers are afraid of placing vignettes in the context of popular but controversial programs on lifestyle channels due to the presence of content (e.g. reports from autopsy, consequences of heroin addiction etc.) that can evoke negative emotions. Advertisers claimed that placing their sponsorship vignettes in the context of such controversial programs would reduce their performance understood as viewers’ willingness to purchase the advertised product. Two studies were conducted in the field of hedonic and utilitarian product categories to support or challenge the concerns of advertisers (n = 222, n = 219). The reported studies focused on the influence of loyalty toward program content, sponsorship vignette awareness and context type (congruent vs. incongruent) on the purchase intent for the sponsorship vignette in hedonic (Study 1) and utilitarian (Study 2) product categories. The results contradict marketers' fears that the sponsorship vignette placed in an incongruent context of controversial program content will be less effective. In the case of hedonic and utilitarian product, the concern turned out to be unfounded. The context type had no significant impact on purchase intent. However, results show a positive effect of loyalty toward programs. Viewers loyal to the program showed a higher purchase intent than disloyal viewers. Moreover, viewers who knew the sponsorship vignette from TV before the survey were more eager to buy a hedonic product. This effect did not occur in the case of utilitarian products.
DOI: 10.7284/126180
title: GNSS (Global Navigation Satellite System) data collected during research cruise SP1701 using a Furuno GP-90D instrument system onboard the platform RV Robert Gordon Sproul

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/126181
title: GNSS (Global Navigation Satellite System) data collected during research cruise SP1701 using a Furuno GP-150 instrument system onboard the platform RV Robert Gordon Sproul

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7228427
title: Using floristic characteristics of contemporary vegetation for identifying archaeological sites: Tel ‘Eton archaeological site as a test case: Supplementary material

description: Over the last century, crosstalk between archaeologists and botanists had focused on the identification of plants remnants, such as charcoal or seeds found in archaeological inventory. Here we demonstrate how botany can play a fundamental role in identifying ancient landscape by using current vegetation. Identifying the loci of ancient human activity is the initial step of any archaeological study, enabling analyses such as settlement patterns, economic structures and land use, as well as devising excavations strategy. While mounds (<i>tells</i>) are standing out of their surroundings and are easily detected, other sites are hidden underground, and require various methods for detection. The cost and intensity of these methods vary, but most are time-consuming, require a team of specialists, and show somewhat limited success, leading archaeologists to seek new methods of site detection. Here, we describe a study of vegetational parameters at Tel ‘Eton (Israel), located in a semi-arid climatic region, where vegetation is mostly herbaceous, mainly comprised of annual plants. We compared above ground biomass, species richness and species composition among four plots in Tel ‘Eton and its surrounding. Two plots were located where ancient settlement found in a previous study, one on top of the mound and one below, where a “lower city” was previously identified. The other two plots were located in similar topographies, namely one on a hill and the other below, but in never-settled areas. While above ground biomass was similar between settled and not-settled plots, species richness was significantly higher in settled plots (40 and 32 species in settled plots, versus 28 and 9 species in non-settled) and species composition was significantly different between them. Our results demonstrate that loci of buried remains of human activity significantly differ from non-settled ones, hence providing the basis for an above ground indirect method of identification of human remains. We propose that floristic sampling of ground-level vegetation may allow archaeologists to identify buried sites, and hence increase the validity of various types of archaeological analyses, such as creating maps of settlements, which rely on the identification of sites without excavating them.
DOI: 10.7284/126177
title: Gyrocompass data collected during research cruise SP1701 using a Furuno Furuno SC-30 instrument system onboard the platform RV Robert Gordon Sproul

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7228427.v1
title: Using floristic characteristics of contemporary vegetation for identifying archaeological sites: Tel ‘Eton archaeological site as a test case: Supplementary material

description: Over the last century, crosstalk between archaeologists and botanists had focused on the identification of plants remnants, such as charcoal or seeds found in archaeological inventory. Here we demonstrate how botany can play a fundamental role in identifying ancient landscape by using current vegetation. Identifying the loci of ancient human activity is the initial step of any archaeological study, enabling analyses such as settlement patterns, economic structures and land use, as well as devising excavations strategy. While mounds (<i>tells</i>) are standing out of their surroundings and are easily detected, other sites are hidden underground, and require various methods for detection. The cost and intensity of these methods vary, but most are time-consuming, require a team of specialists, and show somewhat limited success, leading archaeologists to seek new methods of site detection. Here, we describe a study of vegetational parameters at Tel ‘Eton (Israel), located in a semi-arid climatic region, where vegetation is mostly herbaceous, mainly comprised of annual plants. We compared above ground biomass, species richness and species composition among four plots in Tel ‘Eton and its surrounding. Two plots were located where ancient settlement found in a previous study, one on top of the mound and one below, where a “lower city” was previously identified. The other two plots were located in similar topographies, namely one on a hill and the other below, but in never-settled areas. While above ground biomass was similar between settled and not-settled plots, species richness was significantly higher in settled plots (40 and 32 species in settled plots, versus 28 and 9 species in non-settled) and species composition was significantly different between them. Our results demonstrate that loci of buried remains of human activity significantly differ from non-settled ones, hence providing the basis for an above ground indirect method of identification of human remains. We propose that floristic sampling of ground-level vegetation may allow archaeologists to identify buried sites, and hence increase the validity of various types of archaeological analyses, such as creating maps of settlements, which rely on the identification of sites without excavating them.
DOI: 10.6084/m9.figshare.7228430.v2
title: PCA

description: Best Practices for OnlinePCA.jl against 1.3M Mouse Brain Data
DOI: 10.7284/126176
title: Meteorological Station data collected during research cruise SP1701 using a SIO MET-System instrument system onboard the platform RV Robert Gordon Sproul

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7228421
title: Supplementary Material for: Autosomal Dominant Polycystic Kidney Disease: Clinical Assessment of Rapid Progression

description: <b><i>Background:</i></b> Autosomal dominant polycystic kidney disease (ADPKD) causes the development of renal cysts and leads to a decline in renal function. Limited guidance exists in clinical practice on the use of tolvaptan. A decision algorithm from the European Renal Association-European Dialysis and Transplant Association (ERA-EDTA) Working Groups of Inherited Kidney Disorders and European Renal Best Practice (WGIKD/ERBP) has been proposed to identify candidates for tolvaptan treatment; however, this algorithm has not been assessed in clinical practice. <b><i>Methods:</i></b> Eighteen-month cross-sectional, unicenter, observational study assessing 305 consecutive ADPKD patients. The ERA-EDTA WGIKD/ERBP algorithm with a stepwise approach was used to assess rapid progression (RP). Subsequently, expanded criteria based on the REPRISE trial were applied to evaluate the ­impact of extended age (≤55 years) and estimated glomerular filtration rate (eGFR; ≥25 mL/min/1.73 m<sup>2</sup>). <b><i>Results:</i></b> Historical eGFR decline, indicative of RP, was fulfilled in 26% of 73 patients who were candidates for RP assessment, mostly aged 31–55 years. Further tests including ultrasound and MRI measurements of kidney volume plus genetic testing enabled the evaluation of the remaining patients. Overall, 15.7% of patients met the criteria for rapid or likely RP using the algorithm, and the percentage increased to 27% when extending age and eGFR. <b><i>Conclusions:</i></b> The ERA-EDTA WGIKD/ERBP algorithm provides a valuable means of identifying in routine clinical practice patients who may be eligible for treatment with tolvaptan. The impact of a new threshold for age and eGFR may increase the percentage of patients to be treated.
DOI: 10.6084/m9.figshare.7228418
title: Dataset for: Spatial models for non-Gaussian data with covariates measurement error

description: Spatial models have been widely used in the public health set-up. In the case of continuous outcomes, the traditional approaches to model spatial data are based on the Gaussian distribution. This assumption might be overly restrictive to represent the data. The real data could be highly non-Gaussian and may show features like heavy tails and/or skewness. In spatial data modeling, it is also commonly assumed that the covariates are observed without errors, but for various reasons such as measurement techniques or instruments used, uncertainty is inherent in spatial (especially geostatistics) data and so these data are susceptible to measurement error in the covariates of interest. In this paper, we introduce a general class of spatial models with covariates measurement error that can account for both heavy tails, skewness, and also uncertainty of the covariates. A likelihood method, which leads to maximum likelihood estimation approach, is used for the inference through Monte Carlo Expectation-Maximization algorithm. The predictive distribution at non-sampled sites is approximated based on Markov chain Monte Carlo algorithm. The proposed approach is evaluated through a simulation study and also by a real application (particulate matters dataset).
DOI: 10.7284/126186
title: GNSS (Global Navigation Satellite System) data collected during research cruise SP1702 using a Garmin GPS-17HVS instrument system onboard the platform RV Robert Gordon Sproul

description: Original (unprocessed) data collected during a Field_expedition