cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.3562542
title: Appendix C. A color version of Plate 1: a stand of quaking aspen in Summit County, Colorado, USA, showing the initial phases of conifer encroachment.

description: A color version of Plate 1: a stand of quaking aspen in Summit County, Colorado, USA, showing the initial phases of conifer encroachment.
DOI: 10.6084/m9.figshare.3562542.v1
title: Appendix C. A color version of Plate 1: a stand of quaking aspen in Summit County, Colorado, USA, showing the initial phases of conifer encroachment.

description: A color version of Plate 1: a stand of quaking aspen in Summit County, Colorado, USA, showing the initial phases of conifer encroachment.
DOI: 10.6084/m9.figshare.3562539
title: Appendix A. Figures and tables showing detailed results of the analyses at the focal species level and the results for the second census.

description: Figures and tables showing detailed results of the analyses at the focal species level and the results for the second census.
DOI: 10.6084/m9.figshare.3562539.v1
title: Appendix A. Figures and tables showing detailed results of the analyses at the focal species level and the results for the second census.

description: Figures and tables showing detailed results of the analyses at the focal species level and the results for the second census.
DOI: 10.6084/m9.figshare.3562536
title: Appendix A. Detailed description of data, MAR modeling and data transformation.

description: Detailed description of data, MAR modeling and data transformation.
DOI: 10.6084/m9.figshare.3562536.v1
title: Appendix A. Detailed description of data, MAR modeling and data transformation.

description: Detailed description of data, MAR modeling and data transformation.
DOI: 10.6084/m9.figshare.3562533
title: Appendix B. Mathematical proofs of equations (2) and (3).

description: Mathematical proofs of equations (2) and (3).
DOI: 10.6084/m9.figshare.3562533.v1
title: Appendix B. Mathematical proofs of equations (2) and (3).

description: Mathematical proofs of equations (2) and (3).
DOI: 10.6084/m9.figshare.3562530
title: Appendix C. Residual diagnostics and analysis for cover and taxonomic models.

description: Residual diagnostics and analysis for cover and taxonomic models.
DOI: 10.6084/m9.figshare.3562530.v1
title: Appendix C. Residual diagnostics and analysis for cover and taxonomic models.

description: Residual diagnostics and analysis for cover and taxonomic models.
DOI: 10.6084/m9.figshare.3562527
title: Appendix D. Simulation studies of small-sample properties of MAR estimators.

description: Simulation studies of small-sample properties of MAR estimators.
DOI: 10.6084/m9.figshare.3562527.v1
title: Appendix D. Simulation studies of small-sample properties of MAR estimators.

description: Simulation studies of small-sample properties of MAR estimators.
DOI: 10.6084/m9.figshare.3562521
title: Appendix E. MAR model parameter estimates, full sensitivities for cover analysis, and sensitivities of variance of quasi-stationary distribution.

description: MAR model parameter estimates, full sensitivities for cover analysis, and sensitivities of variance of quasi-stationary distribution.
DOI: 10.6084/m9.figshare.3562521.v1
title: Appendix E. MAR model parameter estimates, full sensitivities for cover analysis, and sensitivities of variance of quasi-stationary distribution.

description: MAR model parameter estimates, full sensitivities for cover analysis, and sensitivities of variance of quasi-stationary distribution.
DOI: 10.6084/m9.figshare.3562518
title: Full Archive

description: Full Archive
DOI: 10.6084/m9.figshare.3562518.v1
title: Full Archive

description: Full Archive
DOI: 10.6084/m9.figshare.3562515
title: Appendix A. Details of the abundance model used to estimate annual population size.

description: Details of the abundance model used to estimate annual population size.
DOI: 10.6084/m9.figshare.3562515.v1
title: Appendix A. Details of the abundance model used to estimate annual population size.

description: Details of the abundance model used to estimate annual population size.
DOI: 10.6084/m9.figshare.3562512
title: Appendix B. Details of methods for estimating range size and quality.

description: Details of methods for estimating range size and quality.
DOI: 10.6084/m9.figshare.3562512.v1
title: Appendix B. Details of methods for estimating range size and quality.

description: Details of methods for estimating range size and quality.
DOI: 10.6084/m9.figshare.3562509
title: Appendix C. Details of methods for estimating meadow selection and home range size.

description: Details of methods for estimating meadow selection and home range size.
DOI: 10.6084/m9.figshare.3562509.v1
title: Appendix C. Details of methods for estimating meadow selection and home range size.

description: Details of methods for estimating meadow selection and home range size.
DOI: 10.6084/m9.figshare.3562506
title: Appendix D. Detailed results of abundance model.

description: Detailed results of abundance model.
DOI: 10.6084/m9.figshare.3562506.v1
title: Appendix D. Detailed results of abundance model.

description: Detailed results of abundance model.
DOI: 10.6084/m9.figshare.3562503
title: Appendix A. Additional analyses of DECEMS simulations.

description: Additional analyses of DECEMS simulations.
DOI: 10.6084/m9.figshare.3562503.v1
title: Appendix A. Additional analyses of DECEMS simulations.

description: Additional analyses of DECEMS simulations.
DOI: 10.6084/m9.figshare.3562500
title: Appendix A. Table listing fatty acids included in composite variables used in the principal components analysis (PCA).

description: Table listing fatty acids included in composite variables used in the principal components analysis (PCA).
DOI: 10.6084/m9.figshare.3562500.v1
title: Appendix A. Table listing fatty acids included in composite variables used in the principal components analysis (PCA).

description: Table listing fatty acids included in composite variables used in the principal components analysis (PCA).
DOI: 10.6084/m9.figshare.3562497
title: Appendix B. Relationships between watershed slope and other geomorphic characteristics in the Wood River System.

description: Relationships between watershed slope and other geomorphic characteristics in the Wood River System.
DOI: 10.6084/m9.figshare.3562497.v1
title: Appendix B. Relationships between watershed slope and other geomorphic characteristics in the Wood River System.

description: Relationships between watershed slope and other geomorphic characteristics in the Wood River System.
DOI: 10.6084/m9.figshare.3562494
title: Appendix A. Additional tables, methods, results, and figures showing root colonization, proc mixed results, and our reconstructed phylogeny.

description: Additional tables, methods, results, and figures showing root colonization, proc mixed results, and our reconstructed phylogeny.
DOI: 10.6084/m9.figshare.3562494.v1
title: Appendix A. Additional tables, methods, results, and figures showing root colonization, proc mixed results, and our reconstructed phylogeny.

description: Additional tables, methods, results, and figures showing root colonization, proc mixed results, and our reconstructed phylogeny.
DOI: 10.6084/m9.figshare.3562491
title: Appendix A. Detailed results of all statistical tests, means and confidence intervals or standard error, and figure showing vegetation response to restoration treatments.

description: Detailed results of all statistical tests, means and confidence intervals or standard error, and figure showing vegetation response to restoration treatments.
DOI: 10.6084/m9.figshare.3562488
title: Data Paper. Data Paper

description: File List UMBC_quadrat_file.txt (MD5: fcd6a15b57b7808c69405d385e51f20b) UMBC_roles_file.txt (MD5: 8229e4fb4197b520b8266dfb57e95318) UMBC_species_list_file.txt (MD5: 8b0eb15e537c7f2390ffcbb29d8ef116) UMBC_2014_census_file.txt (MD5: fbef2b22c7bc0a0289a780fb059cc5e6) UMBC_measurement_codes_file.txt (MD5: 54f293e7e13ba1cda1f55668db8f5dda) UMBC_personnel_file.txt (MD5: 9025ada14ac616baddd4b7626d50c539) Description This data set reports on a census of all trees within two 6.25-ha plots (250 m × 250 m) of temperate deciduous woodlot patch on the campus of the University of Maryland Baltimore County (UMBC), Baltimore, Maryland, USA. Woodlot patches are primarily of the tulip poplar association. From 2011–2012, a 25 m × 25 m quadrat grid was established for each plot by total station surveying equipment. From 2012–2014, the location and DBH (diameter at breast height, 1.37 m) of all woody stems ≥ 1 cm DBH that reached ≥ 1.37 m tall were censused, whether living or dead. All such stems were also marked with numbered metal tags. All living stems were identified at least to genus and to species when possible. All censused stems and associated data (tag number, DBH, location, species, status) were entered into a geographic information system (GIS) map layer based on stem location within a Universal Transverse Mercator (UTM) projected coordinate system where each stem was represented as a unique point feature. The primary objective of these data is to provide a reference for stem location and diameter for the calibration and evaluation of ground-based 3D remote sensing technologies based on computer vision and personal digital camera or cell phone image collections. With regular re-census, the data could also be used for tracking growth, mortality, and recruitment of patchy forest woodlots within a suburban landscape mosaic. <i>Key words</i>: <i>deciduous; diameter; Ecosynth; forest inventory; map; patch; species; survey; taxonomy; temperate; urban forest.</i>
DOI: 10.6084/m9.figshare.3562485
title: Data Paper. Data Paper

description: File List Mammal_Home_Ranges.txt (MD5: 97a497abea6389677c9fe5520b5ac755) Description The data provided here include home range and body sizes for 285 species of mammals in 177 genera. Data were extracted from 552 published sources, and have been used in multiple papers since we originally published results of analyses in 1999 and 2001. While this likely is the most comprehensive such data set available, it is arguably biased taxonomically and geographically. While some mammal orders are well represented taxonomically most are not. Hence, while all genera in Monotremata, Proboscidea, and Pholidota are represented, these comprise only 60, 66, and 20% of species, respectively; moreover, these are relatively minor radiations. In contrast, we have no species of Paucituberculata, Microbiotheria, Notoryctemorphia, Tubulidentata, Hyracoidea, Cingulata, Scandentia, Dermoptera, and Primates (the latter likely reflecting a bias in data acquisition). The modal proportion of genera and species across 27 terrestrial orders is zero; the median values are 10.8% (genera) and 3.7% (species), suggesting that further data should be sought to confirm generalizations provided by these data. <i>Key words</i>: <i>body mass; home range size; mammals.</i>
DOI: 10.6084/m9.figshare.3562482
title: Appendix A. Derivation of the expected periodogram of the OUSS process.

description: Derivation of the expected periodogram of the OUSS process.
DOI: 10.6084/m9.figshare.3562482.v1
title: Appendix A. Derivation of the expected periodogram of the OUSS process.

description: Derivation of the expected periodogram of the OUSS process.
DOI: 10.6084/m9.figshare.3562479
title: Appendix B. Details on periodogram analysis (OUSS estimation, calculation of P values).

description: Details on periodogram analysis (OUSS estimation, calculation of P values).
DOI: 10.6084/m9.figshare.3562479.v1
title: Appendix B. Details on periodogram analysis (OUSS estimation, calculation of P values).

description: Details on periodogram analysis (OUSS estimation, calculation of P values).
DOI: 10.6084/m9.figshare.3562476
title: Appendix C. Bias and correction of the FAP estimator.

description: Bias and correction of the FAP estimator.
DOI: 10.6084/m9.figshare.3562476.v1
title: Appendix C. Bias and correction of the FAP estimator.

description: Bias and correction of the FAP estimator.
DOI: 10.6084/m9.figshare.3562473
title: Appendix D. Details on the theoretical comparison of the WN and OUSS null hypotheses.

description: Details on the theoretical comparison of the WN and OUSS null hypotheses.
DOI: 10.6084/m9.figshare.3562473.v1
title: Appendix D. Details on the theoretical comparison of the WN and OUSS null hypotheses.

description: Details on the theoretical comparison of the WN and OUSS null hypotheses.
DOI: 10.6084/m9.figshare.3562470
title: Appendix E. Details on the simulation of the LGSS models.

description: Details on the simulation of the LGSS models.
DOI: 10.6084/m9.figshare.3562470.v1
title: Appendix E. Details on the simulation of the LGSS models.

description: Details on the simulation of the LGSS models.
DOI: 10.6084/m9.figshare.3562467
title: Appendix F. Details of the statistical analysis of the GPDD.

description: Details of the statistical analysis of the GPDD.
DOI: 10.6084/m9.figshare.3562467.v1
title: Appendix F. Details of the statistical analysis of the GPDD.

description: Details of the statistical analysis of the GPDD.
DOI: 10.6084/m9.figshare.3562464
title: Supplement 1. R code used for the statistical analysis of the GPDD.

description: File List GPDD_main.R (MD5: fbb9de17221281c7b7af9a64cc9fc5d6) Readme.rtf (MD5: 2c2ae786ace2e1566cebadff5b174725) Description This supplement includes the R script used for the statistical analysis of the Global Population Dynamics Database (GPDD). The script was tested using R 3.1.1 on Mac OS 10.6. A more elaborate documentation of the script can be found as comments therein, as well as in the Readme.rtf file
DOI: 10.6084/m9.figshare.3562464.v1
title: Supplement 1. R code used for the statistical analysis of the GPDD.

description: File List GPDD_main.R (MD5: fbb9de17221281c7b7af9a64cc9fc5d6) Readme.rtf (MD5: 2c2ae786ace2e1566cebadff5b174725) Description This supplement includes the R script used for the statistical analysis of the Global Population Dynamics Database (GPDD). The script was tested using R 3.1.1 on Mac OS 10.6. A more elaborate documentation of the script can be found as comments therein, as well as in the Readme.rtf file
DOI: 10.6084/m9.figshare.3562461
title: Supplement 2. Tables listing the GPDD analysis results, including fitted OUSS parameters and POUSS and PWN values for each considered GPDD time series.

description: File List no_low_frequency_trimming.txt (MD5: e9aef7963ecedf3efc70661dd98a7a5b) with_low_frequency_trimming.txt (MD5: 72d37881cbb496113de6e8e78dfb5aa4) Description Tables listing the GPDD analysis results, including estimated WN and OUSS parameters and <i>P</i> values values for each considered GPDD time series. Each row corresponds to an analyzed time series, and each column corresponds to an attribute. The results for the analysis with and without low frequency trimming are in separate files.
DOI: 10.6084/m9.figshare.3562458
title: Supplement 3. R code demonstrating the use of the peacots package for the periodogram analysis of a few example time series using the OUSS null model.

description: File List example.R (MD5: c4c8643ddb57070a70b19867132b053d) cyclic (MD5: 0b53a553a697b6dc2abd8c81c21ab7b5) non_cyclic (MD5: 71a6fd852d5050080a904681f6ec4c90) GPDD_407 (MD5: 858e8f38002a17674678d5ba47b52d69) GPDD_9711 (MD5: 3f06b5226583cf50caf274a1fecd5e22) Readme.rtf (MD5: 7e82d2196dcd0d69a44431966ae09095) Description R code demonstrating the use of the peacots package for the periodogram analysis of a few example time series using the WN and OUSS null models. Includes all necessary data. The files cyclic and non_cyclic contain simulated time series of a cyclic and non-cyclic OUSS processes, respectively. The files GPDD_407 and GPDD_9711 contain the two GPDD time series used as examples in the main article. To execute the code, run source(“example.R”) in R. More details are given in the Readme.rtf file. More examples are available as part of the peacots documentation.
DOI: 10.6084/m9.figshare.3562458.v1
title: Supplement 3. R code demonstrating the use of the peacots package for the periodogram analysis of a few example time series using the OUSS null model.

description: File List example.R (MD5: c4c8643ddb57070a70b19867132b053d) cyclic (MD5: 0b53a553a697b6dc2abd8c81c21ab7b5) non_cyclic (MD5: 71a6fd852d5050080a904681f6ec4c90) GPDD_407 (MD5: 858e8f38002a17674678d5ba47b52d69) GPDD_9711 (MD5: 3f06b5226583cf50caf274a1fecd5e22) Readme.rtf (MD5: 7e82d2196dcd0d69a44431966ae09095) Description R code demonstrating the use of the peacots package for the periodogram analysis of a few example time series using the WN and OUSS null models. Includes all necessary data. The files cyclic and non_cyclic contain simulated time series of a cyclic and non-cyclic OUSS processes, respectively. The files GPDD_407 and GPDD_9711 contain the two GPDD time series used as examples in the main article. To execute the code, run source(“example.R”) in R. More details are given in the Readme.rtf file. More examples are available as part of the peacots documentation.
DOI: 10.6084/m9.figshare.3562452
title: Supplement 4. C++ source code for the numerical simulations of the OUSS model and the population models. This code was also used to construct the CDF grid for the FAP correction.

description: File List Makefile (MD5: 1571a268f7b017373cf02034235d025d) Readme.rtf (MD5: 558b9c308189cdadd7f4c18b746eb18f) Auxiliary.cpp (MD5: 02eeb96d83fe95532f8ccdda6ced3b9e) Config.h (MD5: )d511149a4f32261c77b7d8be553ce491 FitOU.cpp (MD5: )eacb4f61818e9a5717eadf12a5759e3d FitOUSS.cpp (MD5: )87d50d0ff06f874b68cca35a4ae16bc9 GompertzGrowthModel.h (MD5: 245e19cf1649a4ac5423926558a657f2) Grid2DInterpolator.cpp (MD5: 4bf646da95188cea56e26d1f81caf589) Grid2DInterpolator.h (MD5: 2cc0f61b0825331b6ba524205e75dfba) Grid3DInterpolator.cpp (MD5:48e47b221aae950337526dd17d61e46e ) Grid3DInterpolator.h (MD5: ce9d9f631a393b98fe5b2b3ef6d0e24b) GridMultilinearInterpolator.cpp (MD5: )8d6e62da84f6f1655e737b75249321de GridMultilinearInterpolator.h (MD5: c9a326cf6b4ef6accf63cd6cd7b5983d) InternalDefs.h (MD5: )e562ebdcb0ce950769b16f7e65f3b1d1 LogisticGrowthModel.h (MD5: )dff1b2ca16acb293e01efc2e941f0045 LombScargleSpectrum.h (MD5: 9eca3f459dbd96bcd7087184cac5a0fd) main.cpp (MD5: 1d24789f3c9589f753e282272597db76) OrnsteinUhlenbeckModel.h (MD5: e6bb199e430a68766491e68d5f5b5503) PeakSignificance.cpp (MD5: 00904b009f3ea273ce558ac6b9ebde04) Points.h (MD5: )3ce2099bbbdcc4840aa4bf45d1f1b873 StochasticRungeKutta.h (MD5: )78e274a281beb35ed8617309a61de347 VectorArithmetics.h (MD5: f06222ddadecbb6ec5d0d3a7388b5f06) STPlot/Makefile (MD5: ) STColor.cpp (MD5: f06222ddadecbb6ec5d0d3a7388b5f06) STColor.h (MD5: d2fbe6d7067fe383c9c67d3fb59289fa) STPipe.cpp (MD5: da5e65bb44f7edcb6917e0b236bdcd5b) STPipe.h (MD5: f0f692f8c8e08400ae9cace9fde76874) STPlot.cpp (MD5: 2ce77e64526b46048926e2a293e5a79b) STPlot.h (MD5: f783a60895433f031f9f5d388340126d) STPlotDefaults.h (MD5: bc6bad182a2ad1ba233b288d4f72c8c7) Description C++ source code for the numerical simulations of the OUSS model and the population models. This code was also used to construct the CDF grid for the FAP correction. You will need a C++ compiler (e.g., GCC) to compile the code, as well as the ALGLIB library (free C++ version). The latter is needed for the L-BFGS optimization algorithm. The Makefile contains all necessary commands for compilation using GCC. Use "make" in your terminal/command line to execute it. More details are given in the Readme.rtf file as well as in the source files.
DOI: 10.6084/m9.figshare.3562452.v1
title: Supplement 4. C++ source code for the numerical simulations of the OUSS model and the population models. This code was also used to construct the CDF grid for the FAP correction.

description: File List Makefile (MD5: 1571a268f7b017373cf02034235d025d) Readme.rtf (MD5: 558b9c308189cdadd7f4c18b746eb18f) Auxiliary.cpp (MD5: 02eeb96d83fe95532f8ccdda6ced3b9e) Config.h (MD5: )d511149a4f32261c77b7d8be553ce491 FitOU.cpp (MD5: )eacb4f61818e9a5717eadf12a5759e3d FitOUSS.cpp (MD5: )87d50d0ff06f874b68cca35a4ae16bc9 GompertzGrowthModel.h (MD5: 245e19cf1649a4ac5423926558a657f2) Grid2DInterpolator.cpp (MD5: 4bf646da95188cea56e26d1f81caf589) Grid2DInterpolator.h (MD5: 2cc0f61b0825331b6ba524205e75dfba) Grid3DInterpolator.cpp (MD5:48e47b221aae950337526dd17d61e46e ) Grid3DInterpolator.h (MD5: ce9d9f631a393b98fe5b2b3ef6d0e24b) GridMultilinearInterpolator.cpp (MD5: )8d6e62da84f6f1655e737b75249321de GridMultilinearInterpolator.h (MD5: c9a326cf6b4ef6accf63cd6cd7b5983d) InternalDefs.h (MD5: )e562ebdcb0ce950769b16f7e65f3b1d1 LogisticGrowthModel.h (MD5: )dff1b2ca16acb293e01efc2e941f0045 LombScargleSpectrum.h (MD5: 9eca3f459dbd96bcd7087184cac5a0fd) main.cpp (MD5: 1d24789f3c9589f753e282272597db76) OrnsteinUhlenbeckModel.h (MD5: e6bb199e430a68766491e68d5f5b5503) PeakSignificance.cpp (MD5: 00904b009f3ea273ce558ac6b9ebde04) Points.h (MD5: )3ce2099bbbdcc4840aa4bf45d1f1b873 StochasticRungeKutta.h (MD5: )78e274a281beb35ed8617309a61de347 VectorArithmetics.h (MD5: f06222ddadecbb6ec5d0d3a7388b5f06) STPlot/Makefile (MD5: ) STColor.cpp (MD5: f06222ddadecbb6ec5d0d3a7388b5f06) STColor.h (MD5: d2fbe6d7067fe383c9c67d3fb59289fa) STPipe.cpp (MD5: da5e65bb44f7edcb6917e0b236bdcd5b) STPipe.h (MD5: f0f692f8c8e08400ae9cace9fde76874) STPlot.cpp (MD5: 2ce77e64526b46048926e2a293e5a79b) STPlot.h (MD5: f783a60895433f031f9f5d388340126d) STPlotDefaults.h (MD5: bc6bad182a2ad1ba233b288d4f72c8c7) Description C++ source code for the numerical simulations of the OUSS model and the population models. This code was also used to construct the CDF grid for the FAP correction. You will need a C++ compiler (e.g., GCC) to compile the code, as well as the ALGLIB library (free C++ version). The latter is needed for the L-BFGS optimization algorithm. The Makefile contains all necessary commands for compilation using GCC. Use "make" in your terminal/command line to execute it. More details are given in the Readme.rtf file as well as in the source files.
DOI: 10.6084/m9.figshare.3562449
title: Appendix A. Simulation details and results.

description: Simulation details and results.
DOI: 10.6084/m9.figshare.3562446
title: Appendix B. BBS results.

description: BBS results.
DOI: 10.6084/m9.figshare.3562446.v1
title: Appendix B. BBS results.

description: BBS results.
DOI: 10.6084/m9.figshare.3562443
title: Supplement 1. Code samples.

description: File List code_samples.zip (MD5: e24ebd7be118a93db3bf96330a0cc727) Description Code to simulate and fit many of the extensions discussed in our paper.
DOI: 10.6084/m9.figshare.3562440
title: Appendix A. Names and acronyms of species in three arid regions of the world.

description: Names and acronyms of species in three arid regions of the world.
DOI: 10.6084/m9.figshare.3562437
title: Appendix B. Results of analyses using a more liberal definition of potentially equivalent species.

description: Results of analyses using a more liberal definition of potentially equivalent species.
DOI: 10.6084/m9.figshare.3562440.v1
title: Appendix A. Names and acronyms of species in three arid regions of the world.

description: Names and acronyms of species in three arid regions of the world.
DOI: 10.6084/m9.figshare.3562437.v1
title: Appendix B. Results of analyses using a more liberal definition of potentially equivalent species.

description: Results of analyses using a more liberal definition of potentially equivalent species.