cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.3512324.v1
title: Appendix A. A description of methods used to determine physical and chemical parameters at high- and low-gradient survey sites and a table showing additional physical parameters at high-gradient sites.

description: A description of methods used to determine physical and chemical parameters at high- and low-gradient survey sites and a table showing additional physical parameters at high-gradient sites.
DOI: 10.6084/m9.figshare.3512321
title: Appendix A. An assessment of the nutrient status of Lake Volkerak.

description: An assessment of the nutrient status of Lake Volkerak.
DOI: 10.6084/m9.figshare.3512321.v1
title: Appendix A. An assessment of the nutrient status of Lake Volkerak.

description: An assessment of the nutrient status of Lake Volkerak.
DOI: 10.6084/m9.figshare.3512318
title: Appendix B. A table providing an overview of all model parameters and their estimated values.

description: A table providing an overview of all model parameters and their estimated values.
DOI: 10.6084/m9.figshare.3512315
title: Appendix A. A table with the abundance of generalist predators (excluding spiders), spiders, the 10 most abundant predator taxa, and the Stephanitis specialist, summed across 10 dates sampled in 1994, on azaleas in structurally simple and complex urban landscapes.

description: A table with the abundance of generalist predators (excluding spiders), spiders, the 10 most abundant predator taxa, and the Stephanitis specialist, summed across 10 dates sampled in 1994, on azaleas in structurally simple and complex urban landscapes.
DOI: 10.6084/m9.figshare.3512315.v1
title: Appendix A. A table with the abundance of generalist predators (excluding spiders), spiders, the 10 most abundant predator taxa, and the Stephanitis specialist, summed across 10 dates sampled in 1994, on azaleas in structurally simple and complex urban landscapes.

description: A table with the abundance of generalist predators (excluding spiders), spiders, the 10 most abundant predator taxa, and the Stephanitis specialist, summed across 10 dates sampled in 1994, on azaleas in structurally simple and complex urban landscapes.
DOI: 10.6084/m9.figshare.3512312
title: Appendix A. A figure showing sensitivity of selected posterior distributions to the choice of prior distribution.

description: A figure showing sensitivity of selected posterior distributions to the choice of prior distribution.
DOI: 10.6084/m9.figshare.3512309
title: Supplement 1. Winbugs version 1.4 code for the Cormack-Jolly-Seber model with random effects and its modification for accommodating handling effects at State Pond.

description: File List WinbugsStatePond.txt – Winbugs 1.4 code as text. WinbugsStatePond.zip – All files at once. Description The WinbugsStatePond.txt file contains two models which may be pasted into the Winbugs 1.4 software to perform the capture–recapture analyses described in the original paper for State Pond. The response X, a matrix, is not the standard capture history matrix. Instead, X indicates the capture history which appears following the Bugs language comment symbol (#) in the 8 lines which relate survival (psi), capture probability (p), and chi parameters to the multinomial cell probabilities (theta). Random effects (g) of release groups, and the covariate data, svl, Date, Stage, Trial and Release are related to survival, capture or chi probabilities using the logit link. Further documentation is provided in the text file itself.
DOI: 10.6084/m9.figshare.3512312.v1
title: Appendix A. A figure showing sensitivity of selected posterior distributions to the choice of prior distribution.

description: A figure showing sensitivity of selected posterior distributions to the choice of prior distribution.
DOI: 10.6084/m9.figshare.3512306
title: Supplement 1. The code for WinBUGS models, an example data set (Mexican butterfly diversity), and an R interface that will allow the user to fit the compound distributions described in the paper to small data sets.

description: File List Gamma3.odc - Poisson-Gamma WinBUGS model lognorm3.odc - Poisson log-Normal WinBUGS model testbugs.txt - Data set consisting of four sites with fifty species divmodels.R - Script for running the models from R, including tcltk graphical user interface README.txt - Instructions for setting up and running the models divbugs.zip - All five files together Description The scripts provided allow the user to fit the compound distributions described in the paper to small data sets consisting of counts of individuals and estimate confidence intervals for some commonly used diversity indices. Names used for indices and model parameters should be self explanatory. The files make use of WinBUGS and R. Both are freely available from the Internet.
DOI: 10.6084/m9.figshare.3512303
title: Appendix A. A list of the names of the community types used in the selection of occurrences of highly ranked communities in Michigan, USA.

description: A list of the names of the community types used in the selection of occurrences of highly ranked communities in Michigan, USA.
DOI: 10.6084/m9.figshare.3512306.v1
title: Supplement 1. The code for WinBUGS models, an example data set (Mexican butterfly diversity), and an R interface that will allow the user to fit the compound distributions described in the paper to small data sets.

description: File List Gamma3.odc - Poisson-Gamma WinBUGS model lognorm3.odc - Poisson log-Normal WinBUGS model testbugs.txt - Data set consisting of four sites with fifty species divmodels.R - Script for running the models from R, including tcltk graphical user interface README.txt - Instructions for setting up and running the models divbugs.zip - All five files together Description The scripts provided allow the user to fit the compound distributions described in the paper to small data sets consisting of counts of individuals and estimate confidence intervals for some commonly used diversity indices. Names used for indices and model parameters should be self explanatory. The files make use of WinBUGS and R. Both are freely available from the Internet.
DOI: 10.6084/m9.figshare.3512303.v1
title: Appendix A. A list of the names of the community types used in the selection of occurrences of highly ranked communities in Michigan, USA.

description: A list of the names of the community types used in the selection of occurrences of highly ranked communities in Michigan, USA.
DOI: 10.6084/m9.figshare.3512300
title: Appendix B. A table of land and vegetation cover types used in creating geographic information system data layers of Michigan's land cover ca. 1800 and a coverage of unchanged vegetation.

description: A table of land and vegetation cover types used in creating geographic information system data layers of Michigan's land cover ca. 1800 and a coverage of unchanged vegetation.
DOI: 10.6084/m9.figshare.3512300.v1
title: Appendix B. A table of land and vegetation cover types used in creating geographic information system data layers of Michigan's land cover ca. 1800 and a coverage of unchanged vegetation.

description: A table of land and vegetation cover types used in creating geographic information system data layers of Michigan's land cover ca. 1800 and a coverage of unchanged vegetation.
DOI: 10.6084/m9.figshare.3512297
title: Appendix C. A map of Michigan's land cover ca. 1800.

description: A map of Michigan's land cover ca. 1800.
DOI: 10.6084/m9.figshare.3512297.v1
title: Appendix C. A map of Michigan's land cover ca. 1800.

description: A map of Michigan's land cover ca. 1800.
DOI: 10.6084/m9.figshare.3512294
title: Appendix D. A map of Michigan's unchanged land cover ca. 1800.

description: A map of Michigan's unchanged land cover ca. 1800.
DOI: 10.6084/m9.figshare.3512291
title: Appendix E. A table showing the results of two correlation analyses of conservation value across 1900 Michigan townships, determined using the species richness and species occurrences in five groups of potential indicators.

description: A table showing the results of two correlation analyses of conservation value across 1900 Michigan townships, determined using the species richness and species occurrences in five groups of potential indicators.
DOI: 10.6084/m9.figshare.3512294.v1
title: Appendix D. A map of Michigan's unchanged land cover ca. 1800.

description: A map of Michigan's unchanged land cover ca. 1800.
DOI: 10.6084/m9.figshare.3512291.v1
title: Appendix E. A table showing the results of two correlation analyses of conservation value across 1900 Michigan townships, determined using the species richness and species occurrences in five groups of potential indicators.

description: A table showing the results of two correlation analyses of conservation value across 1900 Michigan townships, determined using the species richness and species occurrences in five groups of potential indicators.
DOI: 10.6084/m9.figshare.3512288
title: Appendix F. A table of results from a principal-components analysis of the number of occurrences of potential indicator species in 924 townships in Michigan.

description: A table of results from a principal-components analysis of the number of occurrences of potential indicator species in 924 townships in Michigan.
DOI: 10.6084/m9.figshare.3512285
title: Supplement 1. Two geographic information system data layers showing Michigan's land cover ca. 1800 and unchanged land cover ca. 1980.

description: File List supplement1.zip Description Supplement1.zip is the compressed archival file containing two GIS data sets, lu1800.e00 and unch_veg.e00. lu1800 is the land cover of Michigan as interpreted from the survey notes of the Government Land Office (GLO) surveys of the 1800s. Data format is an ESRI polygon coverage in interchange format. Geographic projection is Michigan Georef, NAD 83, meters. unch_veg.e00 is the current Michigan vegetation that is of a similar vegetation type as present in the same location during the GLO surveys of the 1800s. Data type is an ESRI polygon coverage in interchange format. Geographic projection is Michigan Georef, NAD 83, meters.
DOI: 10.6084/m9.figshare.3512288.v1
title: Appendix F. A table of results from a principal-components analysis of the number of occurrences of potential indicator species in 924 townships in Michigan.

description: A table of results from a principal-components analysis of the number of occurrences of potential indicator species in 924 townships in Michigan.
DOI: 10.6084/m9.figshare.3512285.v1
title: Supplement 1. Two geographic information system data layers showing Michigan's land cover ca. 1800 and unchanged land cover ca. 1980.

description: File List supplement1.zip Description Supplement1.zip is the compressed archival file containing two GIS data sets, lu1800.e00 and unch_veg.e00. lu1800 is the land cover of Michigan as interpreted from the survey notes of the Government Land Office (GLO) surveys of the 1800s. Data format is an ESRI polygon coverage in interchange format. Geographic projection is Michigan Georef, NAD 83, meters. unch_veg.e00 is the current Michigan vegetation that is of a similar vegetation type as present in the same location during the GLO surveys of the 1800s. Data type is an ESRI polygon coverage in interchange format. Geographic projection is Michigan Georef, NAD 83, meters.
DOI: 10.6084/m9.figshare.3512282
title: Supplement 2. Five geographic information system layers specifying the size and location of areas of high conservation value that were used in this study.

description: File List supplement2.zip Description supplement2.zip<br> Compressed archive file containing five GIS datasets, unch_wetland.e00, unch_forest.e00, natareas24_p.e00, nat_comm.e00, all_areas.e00 unch_wetland.e00<br> Contiguous wetlands in Michigan that are larger than 100 hectares and are of the same wetland type present in the Government Land Office surveys of the 1800s. Data format is ESRI polygon coverage in an ESRI interchange file. Geographic projection is Michigan Georef, NAD 83, meters. unch_forest.e00<br> Contiguous forests in Michigan that are larger than 100 hectares and are of the same forest type present in the Government Land Office surveys of the 1800s. Data format is ESRI polygon coverage in an ESRI interchange file. Geographic projection is Michigan Georef, NAD 83, meters. natareas24_p.e00<br> State of Michigan designated State Natural Areas. Data format is ESRI polygon coverage in an ESRI interchange file. Geographic projection is Michigan Georef, NAD 83, meters. nat_comm.e00<br> Natural communities from the Michigan Natural Features Inventory natural heritage database. Data format is ESRI polygon coverage in an ESRI interchange file. Geographic projection is Michigan Georef, NAD 83, meters. all_areas.e00<br> All preceding data sets, unch_wetland.e00, unch_forest.e00, natareas24_p.e00 and nat_comm.e00 merged into one data set. Data format is ESRI polygon coverage in an ESRI interchange file. Geographic projection is Michigan Georef, NAD 83, meters.
DOI: 10.6084/m9.figshare.3512282.v1
title: Supplement 2. Five geographic information system layers specifying the size and location of areas of high conservation value that were used in this study.

description: File List supplement2.zip Description supplement2.zip<br> Compressed archive file containing five GIS datasets, unch_wetland.e00, unch_forest.e00, natareas24_p.e00, nat_comm.e00, all_areas.e00 unch_wetland.e00<br> Contiguous wetlands in Michigan that are larger than 100 hectares and are of the same wetland type present in the Government Land Office surveys of the 1800s. Data format is ESRI polygon coverage in an ESRI interchange file. Geographic projection is Michigan Georef, NAD 83, meters. unch_forest.e00<br> Contiguous forests in Michigan that are larger than 100 hectares and are of the same forest type present in the Government Land Office surveys of the 1800s. Data format is ESRI polygon coverage in an ESRI interchange file. Geographic projection is Michigan Georef, NAD 83, meters. natareas24_p.e00<br> State of Michigan designated State Natural Areas. Data format is ESRI polygon coverage in an ESRI interchange file. Geographic projection is Michigan Georef, NAD 83, meters. nat_comm.e00<br> Natural communities from the Michigan Natural Features Inventory natural heritage database. Data format is ESRI polygon coverage in an ESRI interchange file. Geographic projection is Michigan Georef, NAD 83, meters. all_areas.e00<br> All preceding data sets, unch_wetland.e00, unch_forest.e00, natareas24_p.e00 and nat_comm.e00 merged into one data set. Data format is ESRI polygon coverage in an ESRI interchange file. Geographic projection is Michigan Georef, NAD 83, meters.
DOI: 10.6084/m9.figshare.3512279
title: Appendix A. A table showing litter disappearance exponential rate constants for sugar maple and red oak litter samples in two exotic earthworm invasion fronts at Arnot Forest (central New York).

description: A table showing litter disappearance exponential rate constants for sugar maple and red oak litter samples in two exotic earthworm invasion fronts at Arnot Forest (central New York).
DOI: 10.6084/m9.figshare.3512279.v1
title: Appendix A. A table showing litter disappearance exponential rate constants for sugar maple and red oak litter samples in two exotic earthworm invasion fronts at Arnot Forest (central New York).

description: A table showing litter disappearance exponential rate constants for sugar maple and red oak litter samples in two exotic earthworm invasion fronts at Arnot Forest (central New York).
DOI: 10.6084/m9.figshare.3512276
title: Appendix B. An ANOVA table comparing the total density and biomass of exotic earthworms samples beneath litter boxes with sugar maple or oak litter in two earthworm-invaded plots in a hardwood forest in central New York.

description: An ANOVA table comparing the total density and biomass of exotic earthworms samples beneath litter boxes with sugar maple or oak litter in two earthworm-invaded plots in a hardwood forest in central New York.
DOI: 10.6084/m9.figshare.3512276.v1
title: Appendix B. An ANOVA table comparing the total density and biomass of exotic earthworms samples beneath litter boxes with sugar maple or oak litter in two earthworm-invaded plots in a hardwood forest in central New York.

description: An ANOVA table comparing the total density and biomass of exotic earthworms samples beneath litter boxes with sugar maple or oak litter in two earthworm-invaded plots in a hardwood forest in central New York.
DOI: 10.6084/m9.figshare.3512273
title: Appendix C. An ANOVA table evaluating the effects of litter type, site, and sampling date on litter consumption rates.

description: An ANOVA table evaluating the effects of litter type, site, and sampling date on litter consumption rates.
DOI: 10.6084/m9.figshare.3512273.v1
title: Appendix C. An ANOVA table evaluating the effects of litter type, site, and sampling date on litter consumption rates.

description: An ANOVA table evaluating the effects of litter type, site, and sampling date on litter consumption rates.
DOI: 10.6084/m9.figshare.3512270
title: Appendix A. A table showing system variables and parameters used in the formulations.

description: A table showing system variables and parameters used in the formulations.
DOI: 10.6084/m9.figshare.3512270.v1
title: Appendix A. A table showing system variables and parameters used in the formulations.

description: A table showing system variables and parameters used in the formulations.
DOI: 10.6084/m9.figshare.3512267
title: Appendix B. A sample Pinus radiata data set.

description: A sample Pinus radiata data set.
DOI: 10.6084/m9.figshare.3512267.v1
title: Appendix B. A sample Pinus radiata data set.

description: A sample Pinus radiata data set.
DOI: 10.6084/m9.figshare.3512264
title: Appendix C. A discussion of estimation patch-scale carrying capacity.

description: A discussion of estimation patch-scale carrying capacity.
DOI: 10.6084/m9.figshare.3512264.v1
title: Appendix C. A discussion of estimation patch-scale carrying capacity.

description: A discussion of estimation patch-scale carrying capacity.
DOI: 10.6084/m9.figshare.3512261
title: Appendix D. The procedure for establishing an allometric relationship for .

description: The procedure for establishing an allometric relationship for .
DOI: 10.6084/m9.figshare.3512261.v1
title: Appendix D. The procedure for establishing an allometric relationship for .

description: The procedure for establishing an allometric relationship for .
DOI: 10.6084/m9.figshare.3512258
title: Index Files

description: Index Files
DOI: 10.6084/m9.figshare.3512255
title: Appendix A. A description of the coupled Eularian–Lagrangian closure model (CELC) computations.

description: A description of the coupled Eularian–Lagrangian closure model (CELC) computations.
DOI: 10.6084/m9.figshare.3512258.v1
title: Index Files

description: Index Files
DOI: 10.6084/m9.figshare.3512255.v1
title: Appendix A. A description of the coupled Eularian–Lagrangian closure model (CELC) computations.

description: A description of the coupled Eularian–Lagrangian closure model (CELC) computations.
DOI: 10.6084/m9.figshare.3512252
title: Appendix A. A comparison of the performance of the spatial and independent corrected Akaike Information Criterion (AICC) model selection strategies for various parameterizations of the Matern autocovariance function.

description: A comparison of the performance of the spatial and independent corrected Akaike Information Criterion (AICC) model selection strategies for various parameterizations of the Matern autocovariance function.
DOI: 10.6084/m9.figshare.3512252.v1
title: Appendix A. A comparison of the performance of the spatial and independent corrected Akaike Information Criterion (AICC) model selection strategies for various parameterizations of the Matern autocovariance function.

description: A comparison of the performance of the spatial and independent corrected Akaike Information Criterion (AICC) model selection strategies for various parameterizations of the Matern autocovariance function.
DOI: 10.6084/m9.figshare.3512249
title: Appendix B. A listing of the working equations used to compute spatial AICC, independent AICC, and minimum description length (MDL).

description: A listing of the working equations used to compute spatial AICC, independent AICC, and minimum description length (MDL).
DOI: 10.6084/m9.figshare.3512249.v1
title: Appendix B. A listing of the working equations used to compute spatial AICC, independent AICC, and minimum description length (MDL).

description: A listing of the working equations used to compute spatial AICC, independent AICC, and minimum description length (MDL).
DOI: 10.6084/m9.figshare.3512246
title: Supplement 1. Software to perform model selection for geostatistical models.

description: File List matern.R --- R source code Description Matern.R contains three functions: cor.matern that calculates the Matern correlation function as parameterized by Hoeting et al., log.profile that evaluates the negative log-likelihood function which is minimized by the third function, fit.matern, that uses a constrained optimization routine (which can be adjusted by the user for different problems).
DOI: 10.6084/m9.figshare.3512246.v1
title: Supplement 1. Software to perform model selection for geostatistical models.

description: File List matern.R --- R source code Description Matern.R contains three functions: cor.matern that calculates the Matern correlation function as parameterized by Hoeting et al., log.profile that evaluates the negative log-likelihood function which is minimized by the third function, fit.matern, that uses a constrained optimization routine (which can be adjusted by the user for different problems).
DOI: 10.6084/m9.figshare.3512243
title: Supplement 1. S-Plus code used to fit life history (LH) and Hallock and Fisher (HF) hidden process models, along with data files.

description: File List hfmax.apf - S-Plus code for auxiliary particle filter for H&F model <br> lhmax.apf - S-Plus code for auxiliary particle filter for LH model <br> hfmax.call - S-Plus code that calls hfmax.apf and loads data <br> lhmax.call - S-Plus code that calls lhmax.apf and loads data <br> Utilities - S-Plus code with miscellaneous functions used by the .apf pgms <br> est.counts - data file for juvenile and adult data (1996–2001) <br> rbdd.adult - data file for adult returns to Redd Bluff Diversion Dam (1967–2001) <br> hpmall.tar - tar file of all the above files Description All the above files can be put into the default working directory for S-Plus (Version 6.1.2 Release 2 for Linux 2.2.12: 2002) and then sourcing the .call files will run the .apf files. Alternate storage locations can be used but then the .call files will need to be edited for the alternate locations. Alternate output locations can be created, also, by editing the write() lines in hfmax.apf and lhmax.apf. These files currently assume that output directories named HFOUT and LHOUT exist. The number of particles generated is set by the object labelled <i>N.opt</i>. <br> The degree of kernel smoothing is set by the object <i>discount.opt</i>; it must be between 0 and 1 (values close to 1 are generally preferred; 0.9 is used in the paper).
DOI: 10.6084/m9.figshare.3512240
title: Appendix A. A table of the parameter values used to generate hypothetical data sets A–F.

description: A table of the parameter values used to generate hypothetical data sets A–F.