Automated Organization Profile* & Hanno Schaefer & Departamento de Botánica, Ecología y Fisiología Vegetal, Universidad de La Laguna, La Laguna, Tenerife, Spain & * & Hanno Schaefer & Island Ecology and Evolution Research Group, Instituto de Productos Naturales & Agrobiología (IPNA-CSIC), La Laguna, Tenerife, Spain * Contributed equally Addresses for correspondence: Hanno Schaefer, hanno. schaefer @ tum. de; Jairo Patiño, jpatino @ ull. edu. es
* & Hanno Schaefer & Departamento de Botánica, Ecología y Fisiología Vegetal, Universidad de La Laguna, La Laguna, Tenerife, Spain & * & Hanno Schaefer & Island Ecology and Evolution Research Group, Instituto de Productos Naturales & Agrobiología (IPNA-CSIC), La Laguna, Tenerife, Spain * Contributed equally Addresses for correspondence: Hanno Schaefer, hanno. schaefer @ tum. de; Jairo Patiño, jpatino @ ull. edu. es
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets in this organization
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the organization's datasets
Total Mentions
Total mentions of the organization's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 4.3 (sum of 8 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Table 1. Number of sequences, sequence length, unique sites, informative characters and invariant sites for the analysed DNA regions.RegionTypeSequencesSitesUnique sitesInformative charactersInvariant sitesITS1+2nuc DNA1031054155176722trnT-psbDcp DNA996172256539trnGcp DNA1046233829556Indelsbinary1103391651740
Authors
- Hanusch, Maximilian ;
- Ortiz, Edgardo M. ;
- Patiño, Jairo ;
- Schaefer, Hanno
Table 1. Number of sequences, sequence length, unique sites, informative characters and invariant sites for the analysed DNA regions.RegionTypeSequencesSitesUnique sitesInformative charactersInvariant sitesITS1+2nuc DNA1031054155176722trnT-psbDcp DNA996172256539trnGcp DNA1046233829556Indelsbinary1103391651740
Authors
- Hanusch, Maximilian ;
- Ortiz, Edgardo M. ;
- Patiño, Jairo ;
- Schaefer, Hanno
Appendix 1. Descriptive statistics for quantitative characters of Epipterygium tozeri of different geographical origin (mean ± SD [range]) including ANOVA F statistic and significance level (* P ≤ 0.05, ** P ≤ 0.005, *** P <0.001). Letters in parentheses (a, b, c, d) represent results from a post-hoc Tukey test for statistically significant variables.ContinentalMacaronesiaAsiaU.S.A.YunnanJapanANOVAAnalyzed collectionsT. Arts 339141-29 (BR), T. Arts 339149-37 (BR)A. Vanderpoorten 070312 (LG), T. Arts 339139-27 (BR)D.G. Long s.n. (E00884194), D.G. Long s.n. (E0084196)J. Brinda 5770 (MO), J. Brinda 3131 (MO)D.G. Long s.n. (E00576940)Z. Iwatsuki 160338 (NICH), Z. Iwatsuki 172095 (NICH)Stem length [mm]8.71 ± 2.01 [6.2–13] (a)2.99 ± 0.49 [2.4–3.9] (c)3.57 ± 0.46 [3–4.4] (c)6.39 ± 0.80 [5.3––7.4] (b)8.42 ± 0.91 [7–9.1] (ab)7.61 ± 1.91 [5.2–10] (ab)1.38e-14Costa length [mm]1.59 ± 0.32 [1.07–2.02] (a)0.81 ± 0.25 [0.25–1.07] (c)0.8 ± 0.13 [0.62–1.07] (c)1.68 ± 0.36 [1.12–2.35] (a)1.13 ± 0.12 [1.05–1.35] (bc)1.51 ± 0.19 [1.17–1.77] (ab)6.76e-12Lateral leaf length [mm]2.15 ± 0.31 [1.62–2.55] (ab)1.8 ± 0.20 [1.5–2.12] (b)1.31 ± 0.14 [1.05–1.52] (c)2.20 ± 0.36 [1.6–2.72] (a)1.77 ± 0.22 [1.62–2.12] (bc)2.00 ± 0.32 [1.37–2.5] (ab)2.58e-08Lateral leaf width [mm]0.99 ± 0.18 [0.77–1.27] (a)0.95 ± 0.11 [0.85–1.22] (a)0.74 ± 0.13 [0.6–1] (b)0.81 ± 0.18 [0.57–1.15] (ab)0.93 ± 0.07 [0.85–1.02] (ab)0.86 ± 0.13 [0.62–1] (ab)0.00181Lateral leaf length/ width2.20 ± 0.30 [1.83–2.80] (bc)1.82 ± 0.24 [1.45–2.42] (cd)1.79 ± 0.22 [1.5–2.16] (d)2.77 ± 0.50 [2.36–4] (a)1.88 ± 0.12 [1.71–2.07] (bcd)2.33 ± 0.14 [2.14–2.5] (b)3.97e-09Dorsal leaf length [mm]1.23 ± 0.17 [1–1.42] (a)0.87 ± 0.15 [0.65–1.02] (c)0.94 ± 0.15 [0.75–1.17] (bc)1.22 ± 0.34 [0.75–1.6] (ab)0.83 ± 0.21 [0.62–1.1] (c)0.97 ± 0.19 [0.75–1.25] (abc)0.000278Dorsal leaf width [mm]0.43 ± 0.073 [0.35–0.6] (ab)0.34 ± 0.16 [0.12–0.5] (b)0.49 ± 0.09 [0.37–0.62] (a)0.32 ± 0.07 [0.225 –0.425] (b)0.46 ± 0.17 [0.3–0.7] (ab)0.43 ± 0.08 [0.35–0.6] (ab)0.0086Dorsal leaf length/ width2.90 ± 0.43 [2.33–3.8] (abc)3.20 ± 1.74 [2.05–6.4] (ab)1.93 ± 0.24 [1.76–2.4] (c)3.76 ± 0.56 [3–4.26] (a)1.84 ± 0.23 [1.57–2.08] (c)2.25 ± 0.24 [1.68–2.5] (bc)2.51e- 05Median cell length [μm]170 ± 30.68 [125–222.5] (a)127.25 ± 21.87 [90–150] (b)79.75 ± 19.38 [62.5–110] (c)112.25 ± 17.96 [85–137.5] (b)120 ± 6.84 [112.5–125] (b)112.5 ± 8.57 [100–127.5] (b)3.44e- 11Median cell width [μm]34.5 ± 6.10 [25–45] (a)28.25 ± 3.12 [22.5–32.5] (bc)24 ± 6.47 [15–37.5] (c)24.5 ± 2.58 [20–30] (bc)31.5 ± 4.54 [27.5–37.5] (ab)25.25 ± 0.79 [25–27.5] (bc)6.29e- 06Median cell length/width5.01 ± 1.05 [3.33–7.41] (a)4.48 ± 0.42 [3.81–5] (ab)3.37 ± 0.47 [2.7–4.16] (c)4.60 ± 0.74 [3.6–6.11] (ab)3.87 ± 0.57 [3.21–4.54] (bc)4.45 ± 0.29 [4–5.1] (ab)2.38e- 05Marginal cell length [μm]210.25 ± 15.74 [187.5–237.5] (a)189 ± 34.07 [135–237.5] (a)142 ± 22.41 [115–187.5] (b)183 ± 30.06 [125–232.5] (a)175.5 ± 14.29 [152.5–187.5] (ab)147.75 ± 17.13 [125–175] (b)2.68e- 07Marginal cell width [μm]11.25 ± 1.76 [7.5–12.5] (a)10.75 ± 1.20 [10–12.5] (a)8.25 ± 1.20 [7.5–10] (b)8.5 ± 1.29 [7.5–10] (b)8 ± 1.11 [7.5–10] (b)9.5 ± 1.97 [7.5–12.5] (ab)2.91e-05*Marginal cell length/width18.83 ± 4.18 [16–29.66] (ab)17.52 ± 2.04 [13.5–20.25] (ab)17.31 ± 2.28 [13.75–21] (ab)22.05 ± 5.22 [12.5–31] (a)22.23 ± 3.26 [17.5–25] (a)15.93 ± 2.56 [12.75–20.33] (b)0.00133
Authors
- Hanusch, Maximilian ;
- Ortiz, Edgardo M. ;
- Patiño, Jairo ;
- Schaefer, Hanno
Appendix 1. Descriptive statistics for quantitative characters of Epipterygium tozeri of different geographical origin (mean ± SD [range]) including ANOVA F statistic and significance level (* P ≤ 0.05, ** P ≤ 0.005, *** P <0.001). Letters in parentheses (a, b, c, d) represent results from a post-hoc Tukey test for statistically significant variables.ContinentalMacaronesiaAsiaU.S.A.YunnanJapanANOVAAnalyzed collectionsT. Arts 339141-29 (BR), T. Arts 339149-37 (BR)A. Vanderpoorten 070312 (LG), T. Arts 339139-27 (BR)D.G. Long s.n. (E00884194), D.G. Long s.n. (E0084196)J. Brinda 5770 (MO), J. Brinda 3131 (MO)D.G. Long s.n. (E00576940)Z. Iwatsuki 160338 (NICH), Z. Iwatsuki 172095 (NICH)Stem length [mm]8.71 ± 2.01 [6.2–13] (a)2.99 ± 0.49 [2.4–3.9] (c)3.57 ± 0.46 [3–4.4] (c)6.39 ± 0.80 [5.3––7.4] (b)8.42 ± 0.91 [7–9.1] (ab)7.61 ± 1.91 [5.2–10] (ab)1.38e-14Costa length [mm]1.59 ± 0.32 [1.07–2.02] (a)0.81 ± 0.25 [0.25–1.07] (c)0.8 ± 0.13 [0.62–1.07] (c)1.68 ± 0.36 [1.12–2.35] (a)1.13 ± 0.12 [1.05–1.35] (bc)1.51 ± 0.19 [1.17–1.77] (ab)6.76e-12Lateral leaf length [mm]2.15 ± 0.31 [1.62–2.55] (ab)1.8 ± 0.20 [1.5–2.12] (b)1.31 ± 0.14 [1.05–1.52] (c)2.20 ± 0.36 [1.6–2.72] (a)1.77 ± 0.22 [1.62–2.12] (bc)2.00 ± 0.32 [1.37–2.5] (ab)2.58e-08Lateral leaf width [mm]0.99 ± 0.18 [0.77–1.27] (a)0.95 ± 0.11 [0.85–1.22] (a)0.74 ± 0.13 [0.6–1] (b)0.81 ± 0.18 [0.57–1.15] (ab)0.93 ± 0.07 [0.85–1.02] (ab)0.86 ± 0.13 [0.62–1] (ab)0.00181Lateral leaf length/ width2.20 ± 0.30 [1.83–2.80] (bc)1.82 ± 0.24 [1.45–2.42] (cd)1.79 ± 0.22 [1.5–2.16] (d)2.77 ± 0.50 [2.36–4] (a)1.88 ± 0.12 [1.71–2.07] (bcd)2.33 ± 0.14 [2.14–2.5] (b)3.97e-09Dorsal leaf length [mm]1.23 ± 0.17 [1–1.42] (a)0.87 ± 0.15 [0.65–1.02] (c)0.94 ± 0.15 [0.75–1.17] (bc)1.22 ± 0.34 [0.75–1.6] (ab)0.83 ± 0.21 [0.62–1.1] (c)0.97 ± 0.19 [0.75–1.25] (abc)0.000278Dorsal leaf width [mm]0.43 ± 0.073 [0.35–0.6] (ab)0.34 ± 0.16 [0.12–0.5] (b)0.49 ± 0.09 [0.37–0.62] (a)0.32 ± 0.07 [0.225 –0.425] (b)0.46 ± 0.17 [0.3–0.7] (ab)0.43 ± 0.08 [0.35–0.6] (ab)0.0086Dorsal leaf length/ width2.90 ± 0.43 [2.33–3.8] (abc)3.20 ± 1.74 [2.05–6.4] (ab)1.93 ± 0.24 [1.76–2.4] (c)3.76 ± 0.56 [3–4.26] (a)1.84 ± 0.23 [1.57–2.08] (c)2.25 ± 0.24 [1.68–2.5] (bc)2.51e- 05Median cell length [μm]170 ± 30.68 [125–222.5] (a)127.25 ± 21.87 [90–150] (b)79.75 ± 19.38 [62.5–110] (c)112.25 ± 17.96 [85–137.5] (b)120 ± 6.84 [112.5–125] (b)112.5 ± 8.57 [100–127.5] (b)3.44e- 11Median cell width [μm]34.5 ± 6.10 [25–45] (a)28.25 ± 3.12 [22.5–32.5] (bc)24 ± 6.47 [15–37.5] (c)24.5 ± 2.58 [20–30] (bc)31.5 ± 4.54 [27.5–37.5] (ab)25.25 ± 0.79 [25–27.5] (bc)6.29e- 06Median cell length/width5.01 ± 1.05 [3.33–7.41] (a)4.48 ± 0.42 [3.81–5] (ab)3.37 ± 0.47 [2.7–4.16] (c)4.60 ± 0.74 [3.6–6.11] (ab)3.87 ± 0.57 [3.21–4.54] (bc)4.45 ± 0.29 [4–5.1] (ab)2.38e- 05Marginal cell length [μm]210.25 ± 15.74 [187.5–237.5] (a)189 ± 34.07 [135–237.5] (a)142 ± 22.41 [115–187.5] (b)183 ± 30.06 [125–232.5] (a)175.5 ± 14.29 [152.5–187.5] (ab)147.75 ± 17.13 [125–175] (b)2.68e- 07Marginal cell width [μm]11.25 ± 1.76 [7.5–12.5] (a)10.75 ± 1.20 [10–12.5] (a)8.25 ± 1.20 [7.5–10] (b)8.5 ± 1.29 [7.5–10] (b)8 ± 1.11 [7.5–10] (b)9.5 ± 1.97 [7.5–12.5] (ab)2.91e-05*Marginal cell length/width18.83 ± 4.18 [16–29.66] (ab)17.52 ± 2.04 [13.5–20.25] (ab)17.31 ± 2.28 [13.75–21] (ab)22.05 ± 5.22 [12.5–31] (a)22.23 ± 3.26 [17.5–25] (a)15.93 ± 2.56 [12.75–20.33] (b)0.00133
Authors
- Hanusch, Maximilian ;
- Ortiz, Edgardo M. ;
- Patiño, Jairo ;
- Schaefer, Hanno
Appendix 3. Model comparison of Yule model, Birth-Death model and Coalescent model with constant population size according to path sampling and stepping-stone analysis under a strict clock and an uncorrelated lognormal relaxed clock.Path sampling ln (MLE) 2ln (BF)Stepping-stone ln (MLE) 2ln (BF)ST-YL−7848.01495.54−7848.42495.55ST-BD−7770.41340.34−7770.58339.87ST-CS−7785.82371.15−7786.66372.02UCLD-YL−7646.1691.83−7648.6696.03UCLD-BD−7600. 240−7600. 640UCLD-CS−7612.1723.858−7613.6626.036Appendix 3. Model comparison of Yule model, Birth-Death model and Coalescent model with constant population size according to path sampling and stepping-stone analysis under a strict clock and an uncorrelated lognormal relaxed clock.ST, strict clock; UCLD, uncorrelated lognormal relaxed clock; YL, Yule model; BD, birth-death model; CS, coalescent model with constant popula- tion size. Marginal likelihood estimates (MLE), the difference between the models and the most likely model, as well as resulting Bayes factors (BF) are given. The best model is highlighted in bold.
Authors
- Hanusch, Maximilian ;
- Ortiz, Edgardo M. ;
- Patiño, Jairo ;
- Schaefer, Hanno
Appendix 3. Model comparison of Yule model, Birth-Death model and Coalescent model with constant population size according to path sampling and stepping-stone analysis under a strict clock and an uncorrelated lognormal relaxed clock.Path sampling ln (MLE) 2ln (BF)Stepping-stone ln (MLE) 2ln (BF)ST-YL−7848.01495.54−7848.42495.55ST-BD−7770.41340.34−7770.58339.87ST-CS−7785.82371.15−7786.66372.02UCLD-YL−7646.1691.83−7648.6696.03UCLD-BD−7600. 240−7600. 640UCLD-CS−7612.1723.858−7613.6626.036Appendix 3. Model comparison of Yule model, Birth-Death model and Coalescent model with constant population size according to path sampling and stepping-stone analysis under a strict clock and an uncorrelated lognormal relaxed clock.ST, strict clock; UCLD, uncorrelated lognormal relaxed clock; YL, Yule model; BD, birth-death model; CS, coalescent model with constant popula- tion size. Marginal likelihood estimates (MLE), the difference between the models and the most likely model, as well as resulting Bayes factors (BF) are given. The best model is highlighted in bold.
Authors
- Hanusch, Maximilian ;
- Ortiz, Edgardo M. ;
- Patiño, Jairo ;
- Schaefer, Hanno
Appendix 4. Performance of competing models of ancestral range estimation in the moss genus Epipterygium.LnLnde AICAICc w-AICcΔAICcDEC −49.6620.0181e-12 103.4105.8 0.0326.1DIVALIKE −46. 9420. 0221e-12 98. 099. 7 0. 470BAYAREALIKE −90.3020.0100.089 184.7152.6 6.914e-2052.9lnL, log-likelihood; n, number of parameters; d, rate of dispersal; e, rate of extinction; AIC, Akaike information criterion; AICc, Akaike information criterion corrected for small sample sizes; w-AICc, Akaike weight; ΔAICc, AICc difference; DEC, dispersal-extinction-cladogenesis; DIVA, dispersal-vicariance analysis. The best model is highlighted in bold.
Authors
- Hanusch, Maximilian ;
- Ortiz, Edgardo M. ;
- Patiño, Jairo ;
- Schaefer, Hanno
Appendix 4. Performance of competing models of ancestral range estimation in the moss genus Epipterygium.LnLnde AICAICc w-AICcΔAICcDEC −49.6620.0181e-12 103.4105.8 0.0326.1DIVALIKE −46. 9420. 0221e-12 98. 099. 7 0. 470BAYAREALIKE −90.3020.0100.089 184.7152.6 6.914e-2052.9lnL, log-likelihood; n, number of parameters; d, rate of dispersal; e, rate of extinction; AIC, Akaike information criterion; AICc, Akaike information criterion corrected for small sample sizes; w-AICc, Akaike weight; ΔAICc, AICc difference; DEC, dispersal-extinction-cladogenesis; DIVA, dispersal-vicariance analysis. The best model is highlighted in bold.
Authors
- Hanusch, Maximilian ;
- Ortiz, Edgardo M. ;
- Patiño, Jairo ;
- Schaefer, Hanno