Find research datasets worth reusing

opencc-by-4.0Jan 2012View details →

Fig. 1 in Using abundance data to assess the relative role of sampling biases and evolutionary radiations in Upper Muschelkalk ammonoids

Fig. 1. Chart of stratigraphic interval names and durations for the Muschelkalk of the Germanic Basin with ammonoid immigration events marked (simplified from Klug et al. 2005: fig. 1).

Fig. 4 in Biases in parasite biodiversity research: why some helminth species attract more research than others

Fig. 4. Box plots (median and interquartile range) showing (A) number of citations received by species descriptions following their publication, and (B) number of mentions of a species' name in the scientific literature following its description, for helminth parasites as a function of the number of authors of the original species description. Data from the Zoological Record™ database. Extreme values (25 species descriptions with more than 50 citations; 3 species with more than 30 mentions) are excluded to avoid distorting the figures.

Fig. 3 in Biases in parasite biodiversity research: why some helminth species attract more research than others

Fig. 3. Box plots (median and interquartile range) showing (A) number of citations received by species descriptions following their publication, and (B) number of mentions of a species' name in the scientific literature following its description, for helminths parasitising six host groups. Data from the Zoological Record™ database. Values greater than 50 citations (comprising 14 fish, 1 amphibian, 5 reptiles, 1 bird and 4 mammals) and greater than 30 mentions (comprising 1 amphibian, 1 bird and 1 mammal) are excluded to avoid distorting the figures.

Fig. 2 in Biases in parasite biodiversity research: why some helminth species attract more research than others

Fig. 2. Box plots (median and interquartile range) showing (A) number of citations received by species descriptions following their publication, and (B) number of mentions of a species' name in the scientific literature following its description, for helminth parasites of five higher taxa. Data from the Zoological Record™ database. Values greater than 50 citations (comprising 1 cestode, 10 monogeneans, 3 trematodes, and 11 nematodes) and greater than 30 mentions (comprising 1 trematode and 2 nematodes) are excluded to avoid distorting the figures.

Fig. 1 in Biases in parasite biodiversity research: why some helminth species attract more research than others

Fig. 1. Frequency distribution of (A) number of citations received by species descriptions following their publication, and (B) number of mentions of a species' name in the scientific literature following its description, for helminth parasites described between the years 2000 and 2018. Data from the Zoological Record™ database. Extreme values (25 species descriptions with more than 50 citations; 3 species with more than 30 mentions) are excluded to avoid distorting the figures.

FIGURE 5 in A simulation-based examination of residual diversity estimates as a method of correcting for sampling bias

FIGURE 5. The performance of different implementations of the residual diversity estimate when a specific bias is forced to be the dominant influence. (5.1) Mean Spearman's rho values of four implementations of the RDE using the Smith and McGowan method. PFORM and PTAPH are set at 0.9 to minimise their influence, PLOC is variable. PMIST set at 0.1. (5.2) Mean Spearman's rho values of four implementations of the RDE using the Smith and McGowan method. LOC and PTAPH are set at 0.9 to minimise their influence, PFORM is variable. PMIST set at 0.1. The dashed red line indicates the critical value at p=0.05. Abbreviations as in Table 1.

FIGURE 7 in A simulation-based examination of residual diversity estimates as a method of correcting for sampling bias

FIGURE 7. Sample simulation comparing the results of the taxic, phylogenetic and residual diversity estimates to the true diversity. PFROM, PLOC and PTAPH set at 0.25. PMIST set at 0.1. Black box highlights instance where the Signor Lipps effect has been exaggerated by the PDE; the TDE and RDE both identify the rapid diversity decrease present in the true diversity. Abbreviations as in Table 1.

FIGURE 6 in A simulation-based examination of residual diversity estimates as a method of correcting for sampling bias

FIGURE 6. The performance of the phylogenetic diversity estimate when errors are introduced to the phylogeny. Mean Spearman's rho values of the PDE, TDE and the best performing implementation of the RDE. PLOC, PFORM and PTAPH set at 0.25. PMIST variable. The dashed red line indicates the critical value at p=0.05. Abbreviations as in Table 1.

FIGURE 4 in A simulation-based examination of residual diversity estimates as a method of correcting for sampling bias

FIGURE 4. The performance of different implementations of the residual diversity estimate examining faunas with varying degrees of homogeneity. PFORM, PLOC and PTAPH are set at 0.25. The rate of dispersal is increased relative to the rate of local extinction to increase the homogeneity of the faunas. The dashed red line indicates the critical value at p=0.05. Abbreviations as in Table 1.

FIGURE 1 in A simulation-based examination of residual diversity estimates as a method of correcting for sampling bias

FIGURE 1. An illustration of the taphonomic filter in the simulation, shown applied to a single taxon in a single time bin. The taxon is originally present in every locality in each region it occupies, but the taphonomic filter removes it from randomly selected localities

FIGURE 3 in A simulation-based examination of residual diversity estimates as a method of correcting for sampling bias

FIGURE 3. The performance of different implementations of the residual diversity estimate (RDE) under different sampling regimes. (3.1) Mean Spearman's rho values of four implementations of the RDE using Formations as a proxy, with values of PFORM, PLOC and PTAPH variable but equal. (3.2) Mean Spearman's rho values of four implementations of the RDE using Localities as a proxy. (3.3) Mean Spearman's rho values of four implementations of the RDE, all using the Smith and McGowan method. (3.4) Mean Spearman's rho values of the taxic and phylogenetic diversity estimate compared to those of the optimum implementation of the RDE. The dashed red line indicates the critical value at p=0.05. Abbreviations as in Table 1.

FIGURE 2 in A simulation-based examination of residual diversity estimates as a method of correcting for sampling bias

FIGURE 2. An illustration of how sampling proxies are generated in this simulation. This schematic illustrates which formations and localities in a single time bin contain fossils of at least one species of the simulated clade after application of the taphonomic filter. Formations and localities are removed at random, representing a lack of sampling. Note that the number of clade-bearing formations and localities does not necessarily equal the number of formations and localities sampled, allowing the generation of four sampling proxies.

FIGURE 4 in Biases in the study of relationships between biodiversity dynamics and fluctuation of environmental conditions

FIGURE 4. Evolution of the sea surface temperature. Comparison of the raw data (Martin et al., 2014) with the curve obtained with the mean for each time interval and the curve obtained with the theoretical data calculated from the polynomial curve, smoothing spline, and two curves with three-point moving average and with weighted three-point moving average approaches.

FIGURE 3 in Biases in the study of relationships between biodiversity dynamics and fluctuation of environmental conditions

FIGURE 3. Comparison of the crocodylomorph genus diversity used in various studies. 1, comparison of the number of genera used for each marine crocodylomorph group; 2, comparison of the percent of each group used in the marine crocodylomorph diversity (with and without metriorhynchoids).

FIGURE 2 in Biases in the study of relationships between biodiversity dynamics and fluctuation of environmental conditions

FIGURE 2. Comparison of the crocodylomorph species diversity used in various studies. 1, comparison of the number of species used for each marine crocodylomorph group; 2, comparison of the per cent of each group and of the genus Steneosaurus in the marine crocodylomorph diversity used (with and without metriorhynchoids).

FIGURE 1 in Biases in the study of relationships between biodiversity dynamics and fluctuation of environmental conditions

FIGURE 1. Comparison between the diversity count of Jurassic-Paleogene marine crocodylomorphs (excluding metriorhynchoids) of Martin et al. (2014) (excluding Pelagosaurus typus), with the data obtained in the present work after several corrections. All the data is phylogenetically corrected. The data used in the present work includes four new species, corrections for the number of Machimosaurus species, and taxonomical corrections (see text).

opencc-by-4.0Aug 2024View details →

Electrochemical data plotted in A. Fasano, C. Guendon, A. Jacq-Bailly, A. Kpebe, J. Wozniak, C. Baffert, M. del Barrio, V. Fourmond, M. Brugna, C. Léger , « A chimeric NiFe hydrogenase heterodimer to assess the role of the electron transfer chain in tuning the enzyme's catalytic bias and oxygen tolerance », J. Am. Chem. Soc. 145, 36, 20021–20030 (2023). doi: 10.1021/jacs.3c06895

Text file of all the electrochemical data shown in the following paper: A. Fasano, C. Guendon, A. Jacq-Bailly, A. Kpebe, J. Wozniak, C. Baffert, M. del Barrio, V. Fourmond, M. Brugna, C. Léger , « A chimeric NiFe hydrogenase heterodimer to assess the role of the electron transfer chain in tuning the enzyme's catalytic bias and oxygen tolerance », J. Am. Chem. Soc. 145, 36, 20021–20030 (2023). <a href="dx.doi.org/10.1021/jacs.3c06895" target="_blank" rel="noopener">doi: 10.1021/jacs.3c06895</a>

opencc-by-4.0Jul 2021View details →

Is There a Bias for the Nice Amongst the Pictures Submitted to the Online Portal?

The dataset was used to examine the relation between the average abundance of peacock butterflies in Belgium by week and the number of pictures submitted in that week differentiated for the average state of wear of butterflies in that week. Furthermore, the dataset was used to examine the relation between the abundance of peacock butterflies in Belgium by week and the number of pictures submitted in that week for each of the flight peaks

opencc-by-4.0Jul 2021View details →

Is There a Bias for the Nice Amongst the Pictures Submitted to the Online Portal? (Part 2)

Using this dataset, we examined - the relation between the average number of peacock butterflies in Belgium per record submitted (a measure of abundance) (by week, for weeks 10–44) and the percentage of the butterflies reported that are also illustrated with pictures. - the relation between the abundance of peacock butterflies in Belgium by week and the number of pictures submitted in that week differentiated for the average state of wear of butterflies in that week for the first, second, and third flight peak.  - the relation between the condition of peacock butterflies in Belgium by week (weeks 10–44) and the proportion of records with pictures submitted in that week. - the relation between the condition of peacock butterflies in Belgium by week (weeks 10–44) and the proportion of butterflies illustrated with pictures submitted in that week.