cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.3555618.v1
title: Appendix A. Details on statistical methods with appropriate references, results of analyses of variation in tail length at metamorph emergence, a table detailing the structure of all mixed models used in the paper, and four figures showing variation in metamorph tail length, how tail length at emergence was affected by interactions between age at metamorphosis and hatching age and predator treatment, and how larval resources affected the amount of time metamorphs needed to resorb the tail...

description: Details on statistical methods with appropriate references, results of analyses of variation in tail length at metamorph emergence, a table detailing the structure of all mixed models used in the paper, and four figures showing variation in metamorph tail length, how tail length at emergence was affected by interactions between age at metamorphosis and hatching age and predator treatment, and how larval resources affected the amount of time metamorphs needed to resorb the tail after emergence.
DOI: 10.6084/m9.figshare.3555615
title: Appendix A. Prior specifications, prior sensitivity, and goodness of fit for the harbor seal example.

description: Prior specifications, prior sensitivity, and goodness of fit for the harbor seal example.
DOI: 10.6084/m9.figshare.3555612
title: Appendix B. Markov chain Monte Carlo algorithm.

description: Markov chain Monte Carlo algorithm.
DOI: 10.6084/m9.figshare.3555612.v1
title: Appendix B. Markov chain Monte Carlo algorithm.

description: Markov chain Monte Carlo algorithm.
DOI: 10.6084/m9.figshare.3555609
title: Appendix C. Posterior summaries for the harbor seal example.

description: Posterior summaries for the harbor seal example.
DOI: 10.6084/m9.figshare.3555609.v1
title: Appendix C. Posterior summaries for the harbor seal example.

description: Posterior summaries for the harbor seal example.
DOI: 10.6084/m9.figshare.3555606
title: Supplement 1. Source code and example data for implementing the Markov chain Monte Carlo algorithm.

description: File List MCMCalgorithm.r -- (md5: 66b96318b9d549b5abd7a98178ccc6c8) MCMCalgorithm.c -- (md5: c637bb779c8f04eaf247974a6409ef1b) MCMCalgorithm.dll -- (md5: 479e438af5b72bb05d8a413b487f8d2e) data.RData -- (md5: 25eccac47d5082a651ec6d1040daf939) Initial_values.RData -- (md5: 8da04b2b834f00fe2f7d8669d34e7550) Description MCMCalgorithm.r contains R code for loading the data (data.RData and Initial_values.RData), data pre- and post-processing, loading the dynamic link library file (MCMCalgorithm.dll), and calling the .C function for interfacing the compiled C code (MCMCalgorithm.c) with R (on a machine running Windows). MCMCalgorithm.c contains C code for implementing the MCMC algorithm. MCMCalgorithm.dll is a dynamic link library file containing the compiled C code. data.RData contains the data for 17 harbor seals. Initial_values.RData contains starting values for initialization of the MCMC chain.
DOI: 10.6084/m9.figshare.3555603
title: Appendix A. Relative performance of estimators across all combinations of capture probability, occasions, and abundance that were evaluated via simulation, and evaluation of number of locations on performance of the TELEM estimator.

description: Relative performance of estimators across all combinations of capture probability, occasions, and abundance that were evaluated via simulation, and evaluation of number of locations on performance of the TELEM estimator.
DOI: 10.6084/m9.figshare.3555603.v1
title: Appendix A. Relative performance of estimators across all combinations of capture probability, occasions, and abundance that were evaluated via simulation, and evaluation of number of locations on performance of the TELEM estimator.

description: Relative performance of estimators across all combinations of capture probability, occasions, and abundance that were evaluated via simulation, and evaluation of number of locations on performance of the TELEM estimator.
DOI: 10.6084/m9.figshare.3555600
title: Appendix A. Estimate of Var() when individual-specific covariates are used to estimate .

description: Estimate of Var() when individual-specific covariates are used to estimate .
DOI: 10.6084/m9.figshare.3555600.v1
title: Appendix A. Estimate of Var() when individual-specific covariates are used to estimate .

description: Estimate of Var() when individual-specific covariates are used to estimate .
DOI: 10.6084/m9.figshare.3555597
title: Index Files

description: Index Files
DOI: 10.6084/m9.figshare.3555597.v1
title: Index Files

description: Index Files
DOI: 10.6084/m9.figshare.3555594
title: Appendix A. Detailed description of the Gibbs sampler used for the spatial occupancy model presented in the paper.

description: Detailed description of the Gibbs sampler used for the spatial occupancy model presented in the paper.
DOI: 10.6084/m9.figshare.3555591
title: Appendix B. Additional figures and results for the spatial occupancy analysis of the the caribou data set.

description: Additional figures and results for the spatial occupancy analysis of the the caribou data set.
DOI: 10.6084/m9.figshare.3555588
title: Appendix A. Tables and figures describing parameter values used for simulations, convergence diagnostics, and forecast performance of all methods.

description: Tables and figures describing parameter values used for simulations, convergence diagnostics, and forecast performance of all methods.
DOI: 10.6084/m9.figshare.3555588.v1
title: Appendix A. Tables and figures describing parameter values used for simulations, convergence diagnostics, and forecast performance of all methods.

description: Tables and figures describing parameter values used for simulations, convergence diagnostics, and forecast performance of all methods.
DOI: 10.6084/m9.figshare.3555585
title: Supplement 1. MATLAB function for generating predictions using the SSR forecasting method.

description: File List SSR_Forecasting_Code_New.txt (md5: 18bc5b10effa84ff271dbba316c68689) Description SSR_Forecasting_Code_New.txt: This function generates predictions using the SSR forecasting method as described in the manuscript.
DOI: 10.6084/m9.figshare.3555585.v1
title: Supplement 1. MATLAB function for generating predictions using the SSR forecasting method.

description: File List SSR_Forecasting_Code_New.txt (md5: 18bc5b10effa84ff271dbba316c68689) Description SSR_Forecasting_Code_New.txt: This function generates predictions using the SSR forecasting method as described in the manuscript.
DOI: 10.6084/m9.figshare.3555582
title: Appendix A. Tables reporting the deep-root proportion of monocultures and results of statistical models of root biomass, deep-root proportions, and differences between observed and expected deep-root proportions; and figures showing root biomass for each depth increment and species richness, and correlations of the deep-root proportion and the difference between observed and expected deep-root proportion with the abundance of legumes and C4 grasses in diverse plots.

description: Tables reporting the deep-root proportion of monocultures and results of statistical models of root biomass, deep-root proportions, and differences between observed and expected deep-root proportions; and figures showing root biomass for each depth increment and species richness, and correlations of the deep-root proportion and the difference between observed and expected deep-root proportion with the abundance of legumes and C4 grasses in diverse plots.
DOI: 10.6084/m9.figshare.3555579
title: Appendix A. Analytical approach.

description: Analytical approach.
DOI: 10.6084/m9.figshare.3555579.v1
title: Appendix A. Analytical approach.

description: Analytical approach.
DOI: 10.6084/m9.figshare.3555576
title: Appendix B. A table presenting parameter estimates (mean posterior values and 95% credible interval) for fixed-effects coefficients, β parameters, for each study species.

description: A table presenting parameter estimates (mean posterior values and 95% credible interval) for fixed-effects coefficients, β parameters, for each study species.
DOI: 10.6084/m9.figshare.3555576.v1
title: Appendix B. A table presenting parameter estimates (mean posterior values and 95% credible interval) for fixed-effects coefficients, β parameters, for each study species.

description: A table presenting parameter estimates (mean posterior values and 95% credible interval) for fixed-effects coefficients, β parameters, for each study species.
DOI: 10.6084/m9.figshare.3555573
title: Appendix C. A table presenting predicted survival values (mean and 95% credible interval based on parameter values from Appendix B) by soil source, treatment, and light level for each species.

description: A table presenting predicted survival values (mean and 95% credible interval based on parameter values from Appendix B) by soil source, treatment, and light level for each species.
DOI: 10.6084/m9.figshare.3555573.v1
title: Appendix C. A table presenting predicted survival values (mean and 95% credible interval based on parameter values from Appendix B) by soil source, treatment, and light level for each species.

description: A table presenting predicted survival values (mean and 95% credible interval based on parameter values from Appendix B) by soil source, treatment, and light level for each species.
DOI: 10.6084/m9.figshare.3555570
title: Appendix D. A figure presenting differences in predicted survival in testing for biotic effects in conspecific soil.

description: A figure presenting differences in predicted survival in testing for biotic effects in conspecific soil.
DOI: 10.6084/m9.figshare.3555570.v1
title: Appendix D. A figure presenting differences in predicted survival in testing for biotic effects in conspecific soil.

description: A figure presenting differences in predicted survival in testing for biotic effects in conspecific soil.
DOI: 10.6084/m9.figshare.3555567
title: Appendix A. Detailed description of the experimental procedure and methods for analyzing the phase lags.

description: Detailed description of the experimental procedure and methods for analyzing the phase lags.
DOI: 10.25345/c5dj14
title: MassIVE MSV000086077 - A poplar rust effector protein associates with protein disulfide isomerase and enhance plant susceptibility
title: identify a tonoplastic interaction partner of an effector from Melampsora larici-populina
DOI: 10.6084/m9.figshare.3555564
title: Appendix B. Relating predator lags to interaction strengths.

description: Relating predator lags to interaction strengths.
DOI: 10.6084/m9.figshare.3555564.v1
title: Appendix B. Relating predator lags to interaction strengths.

description: Relating predator lags to interaction strengths.
DOI: 10.6084/m9.figshare.3555561
title: Appendix A. Supplementary study site information, including photographs, vegetation data, and allometric equations, used to obtain tree and shrub biomass.

description: Supplementary study site information, including photographs, vegetation data, and allometric equations, used to obtain tree and shrub biomass.
DOI: 10.6084/m9.figshare.3555561.v1
title: Appendix A. Supplementary study site information, including photographs, vegetation data, and allometric equations, used to obtain tree and shrub biomass.

description: Supplementary study site information, including photographs, vegetation data, and allometric equations, used to obtain tree and shrub biomass.
DOI: 10.6084/m9.figshare.3555558
title: Appendix B. Supplementary results: asymbiotic N-fixation rates recalculated with a range of published conversion factors, forest floor and soil ARA rates, and N-mineralization rates.

description: Supplementary results: asymbiotic N-fixation rates recalculated with a range of published conversion factors, forest floor and soil ARA rates, and N-mineralization rates.
DOI: 10.6084/m9.figshare.3555558.v1
title: Appendix B. Supplementary results: asymbiotic N-fixation rates recalculated with a range of published conversion factors, forest floor and soil ARA rates, and N-mineralization rates.

description: Supplementary results: asymbiotic N-fixation rates recalculated with a range of published conversion factors, forest floor and soil ARA rates, and N-mineralization rates.
DOI: 10.6084/m9.figshare.3555555
title: Appendix A. Full reference list for studies considered in the Supplement for this meta-analysis.

description: Full reference list for studies considered in the Supplement for this meta-analysis.
DOI: 10.6084/m9.figshare.3555555.v1
title: Appendix A. Full reference list for studies considered in the Supplement for this meta-analysis.

description: Full reference list for studies considered in the Supplement for this meta-analysis.
DOI: 10.6084/m9.figshare.3555552
title: Appendix B. Global distribution of manipulative warming experiments, and the frequency distributions of the natural logarithm of response ratios (ln RR) for C fluxes and pools included in this meta-analysis.

description: Global distribution of manipulative warming experiments, and the frequency distributions of the natural logarithm of response ratios (ln RR) for C fluxes and pools included in this meta-analysis.
DOI: 10.6084/m9.figshare.3555552.v1
title: Appendix B. Global distribution of manipulative warming experiments, and the frequency distributions of the natural logarithm of response ratios (ln RR) for C fluxes and pools included in this meta-analysis.

description: Global distribution of manipulative warming experiments, and the frequency distributions of the natural logarithm of response ratios (ln RR) for C fluxes and pools included in this meta-analysis.
DOI: 10.6084/m9.figshare.3555549
title: Supplement 1. Logarithm of response ratio (ln RR) and weighting factor (wij) of 18 variables extracted from studies used in the meta-analysis.

description: File List lnRR_wij_data.txt (MD5: d0b79c06c473e53429b3d7c4c098efcc) Description lnRR_wij_data.txt: Logarithm of RR (ln RR) and weighting factor (<i>w<sub>ij</sub></i>) of 18 variables extracted from each of the papers. Biome (C: Cropland, D: Desert, F: Forest, G: Grassland, S: Shrubland, W: Wetland, T: Tundra), NPR: Net photosynthetic rate, GEP: Gross ecosystem photosynthesis, NPP: Net primary production, LML: Litter mass loss, Rs: Soil respiration, NEE: Net ecosystem exchange, ER: Ecosystem respiration, PACP: Plant aboveground part C pool, PBCP: Plant belowground part C pool, LCP: Litter C pool, MBC: Microbial biomass C, SCP: Soil C pool, DOC: Dissolved organic C, L C/N: Litter C:N ratio, AT: Air temperature, ST: Soil temperature, SWC: Soil water content, and Soil pH.
DOI: 10.6084/m9.figshare.3555549.v1
title: Supplement 1. Logarithm of response ratio (ln RR) and weighting factor (wij) of 18 variables extracted from studies used in the meta-analysis.

description: File List lnRR_wij_data.txt (MD5: d0b79c06c473e53429b3d7c4c098efcc) Description lnRR_wij_data.txt: Logarithm of RR (ln RR) and weighting factor (<i>w<sub>ij</sub></i>) of 18 variables extracted from each of the papers. Biome (C: Cropland, D: Desert, F: Forest, G: Grassland, S: Shrubland, W: Wetland, T: Tundra), NPR: Net photosynthetic rate, GEP: Gross ecosystem photosynthesis, NPP: Net primary production, LML: Litter mass loss, Rs: Soil respiration, NEE: Net ecosystem exchange, ER: Ecosystem respiration, PACP: Plant aboveground part C pool, PBCP: Plant belowground part C pool, LCP: Litter C pool, MBC: Microbial biomass C, SCP: Soil C pool, DOC: Dissolved organic C, L C/N: Litter C:N ratio, AT: Air temperature, ST: Soil temperature, SWC: Soil water content, and Soil pH.
DOI: 10.6084/m9.figshare.3555546
title: Appendix A. Supplementary results: microbial abundance responses to nitrogen and litter chemistry responses to drought and nitrogen.

description: Supplementary results: microbial abundance responses to nitrogen and litter chemistry responses to drought and nitrogen.
DOI: 10.6084/m9.figshare.3555546.v1
title: Appendix A. Supplementary results: microbial abundance responses to nitrogen and litter chemistry responses to drought and nitrogen.

description: Supplementary results: microbial abundance responses to nitrogen and litter chemistry responses to drought and nitrogen.
DOI: 10.6084/m9.figshare.3555543
title: Appendix A. Table reporting means and standard deviation of caterpillar mass for different treatments during performance experiment.

description: Table reporting means and standard deviation of caterpillar mass for different treatments during performance experiment.
DOI: 10.6084/m9.figshare.3555543.v1
title: Appendix A. Table reporting means and standard deviation of caterpillar mass for different treatments during performance experiment.

description: Table reporting means and standard deviation of caterpillar mass for different treatments during performance experiment.
DOI: 10.6084/m9.figshare.3555540
title: Appendix B. Table reporting means and standard deviation of caterpillar mass during additional control experiment.

description: Table reporting means and standard deviation of caterpillar mass during additional control experiment.
DOI: 10.6084/m9.figshare.3555540.v1
title: Appendix B. Table reporting means and standard deviation of caterpillar mass during additional control experiment.

description: Table reporting means and standard deviation of caterpillar mass during additional control experiment.
DOI: 10.6084/m9.figshare.3555537
title: Appendix C. Traditional outcome of a general linear model showing how plant height is affected by different treatments on eggs(+) and eggs(-) plants.

description: Traditional outcome of a general linear model showing how plant height is affected by different treatments on eggs(+) and eggs(-) plants.
DOI: 10.6084/m9.figshare.3555537.v1
title: Appendix C. Traditional outcome of a general linear model showing how plant height is affected by different treatments on eggs(+) and eggs(-) plants.

description: Traditional outcome of a general linear model showing how plant height is affected by different treatments on eggs(+) and eggs(-) plants.
DOI: 10.6084/m9.figshare.3555534
title: Appendix D. Traditional outcome of logistic regression showing how flowering is affected by different treatments on eggs(+) and eggs(-) plants.

description: Traditional outcome of logistic regression showing how flowering is affected by different treatments on eggs(+) and eggs(-) plants.
DOI: 10.6084/m9.figshare.3555534.v1
title: Appendix D. Traditional outcome of logistic regression showing how flowering is affected by different treatments on eggs(+) and eggs(-) plants.

description: Traditional outcome of logistic regression showing how flowering is affected by different treatments on eggs(+) and eggs(-) plants.
DOI: 10.6084/m9.figshare.3555531
title: Appendix A. Evaluating islet productivity.

description: Evaluating islet productivity.
DOI: 10.6084/m9.figshare.3555531.v1
title: Appendix A. Evaluating islet productivity.

description: Evaluating islet productivity.
DOI: 10.6084/m9.figshare.3555528
title: Appendix B. Calculating food chain length.

description: Calculating food chain length.
DOI: 10.6084/m9.figshare.3555528.v1
title: Appendix B. Calculating food chain length.

description: Calculating food chain length.
DOI: 10.6084/m9.figshare.3555525
title: Appendix C. Surveying consumer abundance, diversity, and body size.

description: Surveying consumer abundance, diversity, and body size.
DOI: 10.6084/m9.figshare.3555525.v1
title: Appendix C. Surveying consumer abundance, diversity, and body size.

description: Surveying consumer abundance, diversity, and body size.
DOI: 10.6084/m9.figshare.3555522
title: Appendix D. A color version of Plate 1, showing images from Palmyra atoll study system.

description: A color version of Plate 1, showing images from Palmyra atoll study system.
DOI: 10.6084/m9.figshare.3555522.v1
title: Appendix D. A color version of Plate 1, showing images from Palmyra atoll study system.

description: A color version of Plate 1, showing images from Palmyra atoll study system.
DOI: 10.6084/m9.figshare.3555519
title: Supplementary Material for: Long-Term Outcome of Nephron-Sparing Surgery Compared to Radical Nephrectomy for Renal Cell Carcinoma ≥4 cm - A Matched-Pair Single Institution Analysis

description: <b><i>Purpose:</i></b> We investigated the long-term oncological and functional outcome of nephron-sparing surgery/partial nephrectomy (PN) versus radical nephrectomy (RN) for any renal cell carcinoma (RCC) ≥4 cm. <b><i>Patients and Methods:</i></b> Between 1997 and 2013, we identified 128 patients undergoing PN for RCC ≥4 cm and matched this collective to 128 patients undergoing RN. We then compared overall survival (OS), cancer-specific survival (CSS), progression-free survival (PFS) and functional parameters in both groups. The median follow-up time was 58 months (3-210 months). <b><i>Results:</i></b> Compared to RN, patients with a PN showed a significantly higher 10-year OS (77.0 vs. 63.0%, p = 0.04), CSS (90.6 vs. 71.7%, p = 0.002) and PFS (82.9 vs. 57.4%, p ≤ 0.001). Renal function preservation was better in the PN group (24 months estimated glomerular filtration rate: 68.2 ml/min for PN vs. 40.6 ml/min for RN, p ≤ 0.01) with significantly less new onset chronic kidney diseases. Total complication rate was comparable, whereas PN procedures showed more Clavien-Dindo grade I + II complications, portraying the technical challenge of PN in larger RCCs. <b><i>Conclusions:</i></b> Whenever feasible, PN should be considered for renal masses ≥4 cm, as this technique shows better long-term results regarding disease-specific survival and renal function preservation in our study group.
DOI: 10.6084/m9.figshare.3555519.v1
title: Supplementary Material for: Long-Term Outcome of Nephron-Sparing Surgery Compared to Radical Nephrectomy for Renal Cell Carcinoma ≥4 cm - A Matched-Pair Single Institution Analysis

description: <b><i>Purpose:</i></b> We investigated the long-term oncological and functional outcome of nephron-sparing surgery/partial nephrectomy (PN) versus radical nephrectomy (RN) for any renal cell carcinoma (RCC) ≥4 cm. <b><i>Patients and Methods:</i></b> Between 1997 and 2013, we identified 128 patients undergoing PN for RCC ≥4 cm and matched this collective to 128 patients undergoing RN. We then compared overall survival (OS), cancer-specific survival (CSS), progression-free survival (PFS) and functional parameters in both groups. The median follow-up time was 58 months (3-210 months). <b><i>Results:</i></b> Compared to RN, patients with a PN showed a significantly higher 10-year OS (77.0 vs. 63.0%, p = 0.04), CSS (90.6 vs. 71.7%, p = 0.002) and PFS (82.9 vs. 57.4%, p ≤ 0.001). Renal function preservation was better in the PN group (24 months estimated glomerular filtration rate: 68.2 ml/min for PN vs. 40.6 ml/min for RN, p ≤ 0.01) with significantly less new onset chronic kidney diseases. Total complication rate was comparable, whereas PN procedures showed more Clavien-Dindo grade I + II complications, portraying the technical challenge of PN in larger RCCs. <b><i>Conclusions:</i></b> Whenever feasible, PN should be considered for renal masses ≥4 cm, as this technique shows better long-term results regarding disease-specific survival and renal function preservation in our study group.
DOI: 10.6084/m9.figshare.3555513
title: Appendix C. Results of spatial autocorrelation analyses for the predictor variables.

description: Results of spatial autocorrelation analyses for the predictor variables.
DOI: 10.6084/m9.figshare.3555513.v1
title: Appendix C. Results of spatial autocorrelation analyses for the predictor variables.

description: Results of spatial autocorrelation analyses for the predictor variables.
DOI: 10.6084/m9.figshare.3555510
title: Appendix D. Detailed Wilcoxon’s matched pairs test results testing for the improvement of species distribution models with the addition of herbivore and/or plant variables.

description: Detailed Wilcoxon’s matched pairs test results testing for the improvement of species distribution models with the addition of herbivore and/or plant variables.