cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.3523370.v1
title: Appendix A. Derivations concerning the basic model of offspring size-number strategies (one clutch per year).

description: Derivations concerning the basic model of offspring size-number strategies (one clutch per year).
DOI: 10.6084/m9.figshare.12912116.v1
title: Supplementary Table U-Pb (zircon) geochronologic analyses by LA-ICP-MS.xlsx

description: Our sample processing and AFT analyses were conducted at the Fission Track Laboratory of the Key Laboratory of Petroleum Resources, Northwest Institute of Eco-Environment and Resources, CAS. Detrital zircon U-Pb dating was performed in the Key Laboratory of Western China's Mineral Resources of Gansu Province at Lanzhou University. All the data used are listed in the references or archived in the figshare repository.
DOI: 10.6084/m9.figshare.3523367
title: Appendix B. Derivations concerning the extended model of offspring size-number strategies (two clutches per year).

description: Derivations concerning the extended model of offspring size-number strategies (two clutches per year).
DOI: 10.6084/m9.figshare.3523367.v1
title: Appendix B. Derivations concerning the extended model of offspring size-number strategies (two clutches per year).

description: Derivations concerning the extended model of offspring size-number strategies (two clutches per year).
DOI: 10.6084/m9.figshare.3523364
title: Appendix A. Doubly labeled water methods.

description: Doubly labeled water methods.
DOI: 10.6084/m9.figshare.3523364.v1
title: Appendix A. Doubly labeled water methods.

description: Doubly labeled water methods.
DOI: 10.6084/m9.figshare.3523361
title: Appendix B. Ratios of field metabolic rate/basal metabolic rate (FMR/BMR) and water influx rate/total evaporative water loss (WIR/TEWL), and a figure showing parental FMR and WIR expressed in multiples of BMR and TEWL.

description: Ratios of field metabolic rate/basal metabolic rate (FMR/BMR) and water influx rate/total evaporative water loss (WIR/TEWL), and a figure showing parental FMR and WIR expressed in multiples of BMR and TEWL.
DOI: 10.6084/m9.figshare.3523361.v1
title: Appendix B. Ratios of field metabolic rate/basal metabolic rate (FMR/BMR) and water influx rate/total evaporative water loss (WIR/TEWL), and a figure showing parental FMR and WIR expressed in multiples of BMR and TEWL.

description: Ratios of field metabolic rate/basal metabolic rate (FMR/BMR) and water influx rate/total evaporative water loss (WIR/TEWL), and a figure showing parental FMR and WIR expressed in multiples of BMR and TEWL.
DOI: 10.6084/m9.figshare.3523358
title: Appendix C. A table showing logistic growth curve variables.

description: A table showing logistic growth curve variables.
DOI: 10.6084/m9.figshare.3523358.v1
title: Appendix C. A table showing logistic growth curve variables.

description: A table showing logistic growth curve variables.
DOI: 10.6084/m9.figshare.3523355
title: Appendix D. A table showing aridity index, nestling growth constant K, clutch size and number, and daily nest survival rate for 14 species of larks.

description: A table showing aridity index, nestling growth constant K, clutch size and number, and daily nest survival rate for 14 species of larks.
DOI: 10.6084/m9.figshare.3523355.v1
title: Appendix D. A table showing aridity index, nestling growth constant K, clutch size and number, and daily nest survival rate for 14 species of larks.

description: A table showing aridity index, nestling growth constant K, clutch size and number, and daily nest survival rate for 14 species of larks.
DOI: 10.6084/m9.figshare.3523352
title: Appendix A. A table showing published cases of plant–herbivore interactions used in the vote-counting analysis to assess the performance of phytophagous insects on experimentally water-stressed host plants.

description: A table showing published cases of plant–herbivore interactions used in the vote-counting analysis to assess the performance of phytophagous insects on experimentally water-stressed host plants.
DOI: 10.6084/m9.figshare.3523349
title: Appendix B. A table showing published cases of plant–herbivore interactions used in the meta-analysis to assess the performance of phytophagous insects on experimentally water-stressed host plants.

description: A table showing published cases of plant–herbivore interactions used in the meta-analysis to assess the performance of phytophagous insects on experimentally water-stressed host plants.
DOI: 10.6084/m9.figshare.3523346
title: Appendix C. A table showing published cases of plant–herbivore interactions used in the meta-analysis to assess the performance of phytophagous insects on experimentally water-stressed host plants, as well as to assess the effect of water stress on plant nitrogen and leaf water content.

description: A table showing published cases of plant–herbivore interactions used in the meta-analysis to assess the performance of phytophagous insects on experimentally water-stressed host plants, as well as to assess the effect of water stress on plant nitrogen and leaf water content.
DOI: 10.6084/m9.figshare.3523346.v1
title: Appendix C. A table showing published cases of plant–herbivore interactions used in the meta-analysis to assess the performance of phytophagous insects on experimentally water-stressed host plants, as well as to assess the effect of water stress on plant nitrogen and leaf water content.

description: A table showing published cases of plant–herbivore interactions used in the meta-analysis to assess the performance of phytophagous insects on experimentally water-stressed host plants, as well as to assess the effect of water stress on plant nitrogen and leaf water content.
DOI: 10.6084/m9.figshare.3523343
title: Appendix A. An image (Fig. A1a) showing a scanning electron micrograph of diatoms and cyanobacteria on rock surfaces in the intertidal and and image (Fig. A1b) of experimental shade canopies used to reduce insolation stress.

description: An image (Fig. A1a) showing a scanning electron micrograph of diatoms and cyanobacteria on rock surfaces in the intertidal and and image (Fig. A1b) of experimental shade canopies used to reduce insolation stress.
DOI: 10.6084/m9.figshare.3523343.v1
title: Appendix A. An image (Fig. A1a) showing a scanning electron micrograph of diatoms and cyanobacteria on rock surfaces in the intertidal and and image (Fig. A1b) of experimental shade canopies used to reduce insolation stress.

description: An image (Fig. A1a) showing a scanning electron micrograph of diatoms and cyanobacteria on rock surfaces in the intertidal and and image (Fig. A1b) of experimental shade canopies used to reduce insolation stress.
DOI: 10.6084/m9.figshare.3523340
title: Appendix B. A table (Table B1) showing correlations of monthly values for photosynthetic biomass, diatoms, cyanobacteria, and limpet grazing intensity on the midshore at Port St Mary with physical, chemical, and biological regulators and an ANOVA table (Table B2) for factors affecting temporal and spatial patterns of photosynthetic epilithic microbial biomass.

description: A table (Table B1) showing correlations of monthly values for photosynthetic biomass, diatoms, cyanobacteria, and limpet grazing intensity on the midshore at Port St Mary with physical, chemical, and biological regulators and an ANOVA table (Table B2) for factors affecting temporal and spatial patterns of photosynthetic epilithic microbial biomass.
DOI: 10.6084/m9.figshare.3523340.v1
title: Appendix B. A table (Table B1) showing correlations of monthly values for photosynthetic biomass, diatoms, cyanobacteria, and limpet grazing intensity on the midshore at Port St Mary with physical, chemical, and biological regulators and an ANOVA table (Table B2) for factors affecting temporal and spatial patterns of photosynthetic epilithic microbial biomass.

description: A table (Table B1) showing correlations of monthly values for photosynthetic biomass, diatoms, cyanobacteria, and limpet grazing intensity on the midshore at Port St Mary with physical, chemical, and biological regulators and an ANOVA table (Table B2) for factors affecting temporal and spatial patterns of photosynthetic epilithic microbial biomass.
DOI: 10.6084/m9.figshare.3523337
title: Appendix C. In this appendix, we provide results from ANOVA for effects of experimental manipulation of shade, grazing, desiccation, and nutrient availability treatments on (Table C1) photosynthetic microbial biomass, (Table C2) abundance of diatoms and cyanobacteria, (Table C3) macroalgal germlings, and (Table C4) grazing intensity as well as ANOVA results (Tables C5 and C6) that compare shaded treatment, treatment without shade, and transparent Cryllex controls (providing a canopy...

description: In this appendix, we provide results from ANOVA for effects of experimental manipulation of shade, grazing, desiccation, and nutrient availability treatments on (Table C1) photosynthetic microbial biomass, (Table C2) abundance of diatoms and cyanobacteria, (Table C3) macroalgal germlings, and (Table C4) grazing intensity as well as ANOVA results (Tables C5 and C6) that compare shaded treatment, treatment without shade, and transparent Cryllex controls (providing a canopy structure without shading).
DOI: 10.6084/m9.figshare.3523337.v1
title: Appendix C. In this appendix, we provide results from ANOVA for effects of experimental manipulation of shade, grazing, desiccation, and nutrient availability treatments on (Table C1) photosynthetic microbial biomass, (Table C2) abundance of diatoms and cyanobacteria, (Table C3) macroalgal germlings, and (Table C4) grazing intensity as well as ANOVA results (Tables C5 and C6) that compare shaded treatment, treatment without shade, and transparent Cryllex controls (providing a canopy...

description: In this appendix, we provide results from ANOVA for effects of experimental manipulation of shade, grazing, desiccation, and nutrient availability treatments on (Table C1) photosynthetic microbial biomass, (Table C2) abundance of diatoms and cyanobacteria, (Table C3) macroalgal germlings, and (Table C4) grazing intensity as well as ANOVA results (Tables C5 and C6) that compare shaded treatment, treatment without shade, and transparent Cryllex controls (providing a canopy structure without shading).
DOI: 10.6084/m9.figshare.3523334
title: Appendix A. A photograph showing native perennial-dominated coastal prairie grassland at Tom's Point Preserve, Marin County, California, USA.

description: A photograph showing native perennial-dominated coastal prairie grassland at Tom's Point Preserve, Marin County, California, USA.
DOI: 10.6084/m9.figshare.3523334.v1
title: Appendix A. A photograph showing native perennial-dominated coastal prairie grassland at Tom's Point Preserve, Marin County, California, USA.

description: A photograph showing native perennial-dominated coastal prairie grassland at Tom's Point Preserve, Marin County, California, USA.
DOI: 10.6084/m9.figshare.3523331
title: Appendix B. A description of the allometric relationships between size and biomass for each native perennial species.

description: A description of the allometric relationships between size and biomass for each native perennial species.
DOI: 10.6084/m9.figshare.3523331.v1
title: Appendix B. A description of the allometric relationships between size and biomass for each native perennial species.

description: A description of the allometric relationships between size and biomass for each native perennial species.
DOI: 10.6084/m9.figshare.3523328
title: Appendix C. A description of the measurement of native perennial productivity.

description: A description of the measurement of native perennial productivity.
DOI: 10.6084/m9.figshare.3523328.v1
title: Appendix C. A description of the measurement of native perennial productivity.

description: A description of the measurement of native perennial productivity.
DOI: 10.6084/m9.figshare.3523325
title: Appendix D. A table showing repeated-measures ANOVA and single season ANOVAs for the effects of the intergroup competition on productivity of native perennials and exotic annuals.

description: A table showing repeated-measures ANOVA and single season ANOVAs for the effects of the intergroup competition on productivity of native perennials and exotic annuals.
DOI: 10.6084/m9.figshare.3523322
title: Appendix A. The results of all stepwise multiple regression analyses.

description: The results of all stepwise multiple regression analyses.
DOI: 10.6084/m9.figshare.3523322.v1
title: Appendix A. The results of all stepwise multiple regression analyses.

description: The results of all stepwise multiple regression analyses.
DOI: 10.6084/m9.figshare.3523319
title: Appendix A. A description of the 18 data sets included in the study.

description: A description of the 18 data sets included in the study.
DOI: 10.6084/m9.figshare.3523316
title: Appendix B. Plots of degree of specialization (s) vs. average specialization of interaction partners (p) for each species in each of 18 data sets.

description: Plots of degree of specialization (s) vs. average specialization of interaction partners (p) for each species in each of 18 data sets.
DOI: 10.6084/m9.figshare.3523316.v1
title: Appendix B. Plots of degree of specialization (s) vs. average specialization of interaction partners (p) for each species in each of 18 data sets.

description: Plots of degree of specialization (s) vs. average specialization of interaction partners (p) for each species in each of 18 data sets.
DOI: 10.6084/m9.figshare.3523313
title: Appendix C. The relation between the percentage of species inside the null space of both models and several community characteristics.

description: The relation between the percentage of species inside the null space of both models and several community characteristics.
DOI: 10.6084/m9.figshare.3523310
title: Appendix D. The correlation between frequency of interaction (f) and estimated degree of specialization (s) of plants and pollinators for 11 data sets.

description: The correlation between frequency of interaction (f) and estimated degree of specialization (s) of plants and pollinators for 11 data sets.
DOI: 10.6084/m9.figshare.3523310.v1
title: Appendix D. The correlation between frequency of interaction (f) and estimated degree of specialization (s) of plants and pollinators for 11 data sets.

description: The correlation between frequency of interaction (f) and estimated degree of specialization (s) of plants and pollinators for 11 data sets.
DOI: 10.6084/m9.figshare.3523307
title: Appendix A. A table showing mean and maximum seed dispersal distances and mean body lengths of 54 ant species.

description: A table showing mean and maximum seed dispersal distances and mean body lengths of 54 ant species.
DOI: 10.6084/m9.figshare.3523307.v1
title: Appendix A. A table showing mean and maximum seed dispersal distances and mean body lengths of 54 ant species.

description: A table showing mean and maximum seed dispersal distances and mean body lengths of 54 ant species.
DOI: 10.6084/m9.figshare.3523304
title: Appendix B. A table showing the mean distance that ants differing in body length disperse diaspores that differ in mass.

description: A table showing the mean distance that ants differing in body length disperse diaspores that differ in mass.
DOI: 10.6084/m9.figshare.3523304.v1
title: Appendix B. A table showing the mean distance that ants differing in body length disperse diaspores that differ in mass.

description: A table showing the mean distance that ants differing in body length disperse diaspores that differ in mass.
DOI: 10.6084/m9.figshare.3523301
title: Appendix C. A table showing mean and maximum seed dispersal distances, and mean body lengths of seed collecting ants in different communities.

description: A table showing mean and maximum seed dispersal distances, and mean body lengths of seed collecting ants in different communities.
DOI: 10.6084/m9.figshare.3523301.v1
title: Appendix C. A table showing mean and maximum seed dispersal distances, and mean body lengths of seed collecting ants in different communities.

description: A table showing mean and maximum seed dispersal distances, and mean body lengths of seed collecting ants in different communities.
DOI: 10.6084/m9.figshare.3523298
title: Appendix A. Descriptions of the databases and species used in this study.

description: Descriptions of the databases and species used in this study.
DOI: 10.6084/m9.figshare.3523295
title: Appendix B. The location, heath type, and assigned fire regimes for the heath studies in the fire regime gradient.

description: The location, heath type, and assigned fire regimes for the heath studies in the fire regime gradient.
DOI: 10.6084/m9.figshare.3523292
title: Appendix A. Estimates of recapture probabilities calculated with SURGE.

description: Estimates of recapture probabilities calculated with SURGE.
DOI: 10.6084/m9.figshare.3523292.v1
title: Appendix A. Estimates of recapture probabilities calculated with SURGE.

description: Estimates of recapture probabilities calculated with SURGE.
DOI: 10.6084/m9.figshare.3523289
title: Appendix B. Estimates of survival probabilities calculated with SURGE.

description: Estimates of survival probabilities calculated with SURGE.
DOI: 10.6084/m9.figshare.3523289.v1
title: Appendix B. Estimates of survival probabilities calculated with SURGE.

description: Estimates of survival probabilities calculated with SURGE.
DOI: 10.6084/m9.figshare.3523286
title: Appendix A. A table showing the three-way ANOVA comparing the effects of block, toadfish presence, and reef complexity (simple vs. complex) on mud crab (Panopeus herbstii) mortality.

description: A table showing the three-way ANOVA comparing the effects of block, toadfish presence, and reef complexity (simple vs. complex) on mud crab (Panopeus herbstii) mortality.
DOI: 10.6084/m9.figshare.3523286.v1
title: Appendix A. A table showing the three-way ANOVA comparing the effects of block, toadfish presence, and reef complexity (simple vs. complex) on mud crab (Panopeus herbstii) mortality.

description: A table showing the three-way ANOVA comparing the effects of block, toadfish presence, and reef complexity (simple vs. complex) on mud crab (Panopeus herbstii) mortality.
DOI: 10.6084/m9.figshare.3523283
title: Appendix B. A table showing the three-way ANOVA testing the effects of toadfish presence, mud crab presence, and reef complexity (simple vs. complex) on daily mortality of stocked juvenile oysters (Crassostrea virginica).

description: A table showing the three-way ANOVA testing the effects of toadfish presence, mud crab presence, and reef complexity (simple vs. complex) on daily mortality of stocked juvenile oysters (Crassostrea virginica).
DOI: 10.6084/m9.figshare.3523283.v1
title: Appendix B. A table showing the three-way ANOVA testing the effects of toadfish presence, mud crab presence, and reef complexity (simple vs. complex) on daily mortality of stocked juvenile oysters (Crassostrea virginica).

description: A table showing the three-way ANOVA testing the effects of toadfish presence, mud crab presence, and reef complexity (simple vs. complex) on daily mortality of stocked juvenile oysters (Crassostrea virginica).
DOI: 10.6084/m9.figshare.3523280
title: Appendix C. A table sjowing the repeated-measures ANOVA assessing whether toadfish presence and structural complexity (simple vs. complex) influence the percentage of visible mud crabs.

description: A table sjowing the repeated-measures ANOVA assessing whether toadfish presence and structural complexity (simple vs. complex) influence the percentage of visible mud crabs.
DOI: 10.6084/m9.figshare.3523280.v1
title: Appendix C. A table sjowing the repeated-measures ANOVA assessing whether toadfish presence and structural complexity (simple vs. complex) influence the percentage of visible mud crabs.

description: A table sjowing the repeated-measures ANOVA assessing whether toadfish presence and structural complexity (simple vs. complex) influence the percentage of visible mud crabs.
DOI: 10.6084/m9.figshare.3523277
title: Appendix A. An explanation of the fitting of the cause-specific mortality rates model with the MARK program.

description: An explanation of the fitting of the cause-specific mortality rates model with the MARK program.
DOI: 10.6084/m9.figshare.3523277.v1
title: Appendix A. An explanation of the fitting of the cause-specific mortality rates model with the MARK program.

description: An explanation of the fitting of the cause-specific mortality rates model with the MARK program.
DOI: 10.6084/m9.figshare.3523274
title: Appendix B. The parameter index matrices of the cause-specific mortality rates model used in the MARK program.

description: The parameter index matrices of the cause-specific mortality rates model used in the MARK program.
DOI: 10.6084/m9.figshare.3523274.v1
title: Appendix B. The parameter index matrices of the cause-specific mortality rates model used in the MARK program.

description: The parameter index matrices of the cause-specific mortality rates model used in the MARK program.
DOI: 10.6084/m9.figshare.3523271
title: Supplement 1. Data files and code.

description: File List SAS.txt SAS code and example analyses optimize.txt Matlab optimization function (required for remltrend and Sim_model programs) remltrend.txt Matlab Analysis code (requires optimize function) Sim_model.txt Matlab simulation and analysis code (requires optimize function) Example_Data.txt Grizzly, Condor, Parrot, and Whooping Crane data Staples.zip All files at once DescriptionSAS.txt contains SAS code to perform REML-based analysis described in the original paper and example analysis of Grizzly, Puerto Rican Parrot, and California Condor data with notes on output. Optimize.txt is a Matlab function to optimize likelihood in toeplitz analysis and is required for the Matlab programs remltrend and Sim_model. Remltrend performs REML-analysis in Matlab. Sim_model simulates time-series and estimates trend, process variance, and sampling error variance.
DOI: 10.6084/m9.figshare.3523271.v1
title: Supplement 1. Data files and code.

description: File List SAS.txt SAS code and example analyses optimize.txt Matlab optimization function (required for remltrend and Sim_model programs) remltrend.txt Matlab Analysis code (requires optimize function) Sim_model.txt Matlab simulation and analysis code (requires optimize function) Example_Data.txt Grizzly, Condor, Parrot, and Whooping Crane data Staples.zip All files at once DescriptionSAS.txt contains SAS code to perform REML-based analysis described in the original paper and example analysis of Grizzly, Puerto Rican Parrot, and California Condor data with notes on output. Optimize.txt is a Matlab function to optimize likelihood in toeplitz analysis and is required for the Matlab programs remltrend and Sim_model. Remltrend performs REML-analysis in Matlab. Sim_model simulates time-series and estimates trend, process variance, and sampling error variance.
DOI: 10.6084/m9.figshare.3523268
title: Appendix A. Penalty matrices.

description: Penalty matrices.
DOI: 10.6084/m9.figshare.3523268.v1
title: Appendix A. Penalty matrices.

description: Penalty matrices.
DOI: 10.6084/m9.figshare.3523265
title: Appendix B. Tables showing P values and power-simulation results for each of the 19 data sets.

description: Tables showing P values and power-simulation results for each of the 19 data sets.