cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1314630.08fu
title: SH1314630.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.25549/one-ouc111335855
title: Photographs
DOI: 10.15156/bio/sh1314631.08fu
title: SH1314631.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1314632.08fu
title: SH1314632.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1314633.08fu
title: SH1314633.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1314634.08fu
title: SH1314634.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1314635.08fu
title: SH1314635.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1314636.08fu
title: SH1314636.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.6084/m9.figshare.3514802
title: Appendix B. Number of elk counted on the Northern Range of Yellowstone National Park, just north of the park, and on the Wyoming supplemental feedgrounds.

description: Number of elk counted on the Northern Range of Yellowstone National Park, just north of the park, and on the Wyoming supplemental feedgrounds.
DOI: 10.6084/m9.figshare.3514802.v1
title: Appendix B. Number of elk counted on the Northern Range of Yellowstone National Park, just north of the park, and on the Wyoming supplemental feedgrounds.

description: Number of elk counted on the Northern Range of Yellowstone National Park, just north of the park, and on the Wyoming supplemental feedgrounds.
DOI: 10.6084/m9.figshare.3514799
title: Appendix C. Graphs showing simulated brucellosis seroprevalence in native winter range elk under a range of different parameter values and a comparison of empirical and simulated elk age distributions.

description: Graphs showing simulated brucellosis seroprevalence in native winter range elk under a range of different parameter values and a comparison of empirical and simulated elk age distributions.
DOI: 10.6084/m9.figshare.3514799.v1
title: Appendix C. Graphs showing simulated brucellosis seroprevalence in native winter range elk under a range of different parameter values and a comparison of empirical and simulated elk age distributions.

description: Graphs showing simulated brucellosis seroprevalence in native winter range elk under a range of different parameter values and a comparison of empirical and simulated elk age distributions.
DOI: 10.6084/m9.figshare.3514796
title: Appendix D. Boxplots of elk group sizes over time around the Greater Yellowstone Ecosystem and elk group sizes for Montana hunt districts 360, 362, and 314.

description: Boxplots of elk group sizes over time around the Greater Yellowstone Ecosystem and elk group sizes for Montana hunt districts 360, 362, and 314.
DOI: 10.6084/m9.figshare.3514796.v1
title: Appendix D. Boxplots of elk group sizes over time around the Greater Yellowstone Ecosystem and elk group sizes for Montana hunt districts 360, 362, and 314.

description: Boxplots of elk group sizes over time around the Greater Yellowstone Ecosystem and elk group sizes for Montana hunt districts 360, 362, and 314.
DOI: 10.6084/m9.figshare.3514793
title: Appendix A. Fitting the Bayesian hierarchical model.

description: Fitting the Bayesian hierarchical model.
DOI: 10.6084/m9.figshare.3514793.v1
title: Appendix A. Fitting the Bayesian hierarchical model.

description: Fitting the Bayesian hierarchical model.
DOI: 10.6084/m9.figshare.3514790
title: Appendix B. Sets of graphs showing fitted models of response to three initial levels of winter vehicle disturbance in five tundra vegetation types in arctic Alaska.

description: Sets of graphs showing fitted models of response to three initial levels of winter vehicle disturbance in five tundra vegetation types in arctic Alaska.
DOI: 10.6084/m9.figshare.3514790.v1
title: Appendix B. Sets of graphs showing fitted models of response to three initial levels of winter vehicle disturbance in five tundra vegetation types in arctic Alaska.

description: Sets of graphs showing fitted models of response to three initial levels of winter vehicle disturbance in five tundra vegetation types in arctic Alaska.
DOI: 10.6084/m9.figshare.3514787
title: Appendix C. Figures and discussion of distribution of disturbance levels on winter seismic trails, monitored over a 21 year period at 200 random–systematic plots on the trails.

description: Figures and discussion of distribution of disturbance levels on winter seismic trails, monitored over a 21 year period at 200 random–systematic plots on the trails.
DOI: 10.6084/m9.figshare.3514787.v1
title: Appendix C. Figures and discussion of distribution of disturbance levels on winter seismic trails, monitored over a 21 year period at 200 random–systematic plots on the trails.

description: Figures and discussion of distribution of disturbance levels on winter seismic trails, monitored over a 21 year period at 200 random–systematic plots on the trails.
DOI: 10.6084/m9.figshare.3514784
title: Appendix D. Disturbance and recovery by vegetation types.

description: Disturbance and recovery by vegetation types.
DOI: 10.6084/m9.figshare.3514784.v1
title: Appendix D. Disturbance and recovery by vegetation types.

description: Disturbance and recovery by vegetation types.
DOI: 10.6084/m9.figshare.3514781
title: Appendix E. Collection of photos depicting seismic lines in 1984 and over time.

description: Collection of photos depicting seismic lines in 1984 and over time.
DOI: 10.6084/m9.figshare.3514781.v1
title: Appendix E. Collection of photos depicting seismic lines in 1984 and over time.

description: Collection of photos depicting seismic lines in 1984 and over time.
DOI: 10.6084/m9.figshare.3514778
title: Supplement 1. An ASCII text file listing the studies included in the meta-analysis including treatment and reference means, SDs, and calculated effect sizes.

description: File List studies.txt Description The file studies.txt contains all data extracted from published sources and used in this meta-analysis. Means in buffers and reference sites, together with standard deviations are presented together with the calculated effect sizes. This table also presents the complete listing of published studies used in the meta-analysis.
DOI: 10.6084/m9.figshare.3514775
title: Appendix A. Table of weightings applied to different types of geographical information to compute the grazing intensity index.

description: Table of weightings applied to different types of geographical information to compute the grazing intensity index.
DOI: 10.6084/m9.figshare.3514775.v1
title: Appendix A. Table of weightings applied to different types of geographical information to compute the grazing intensity index.

description: Table of weightings applied to different types of geographical information to compute the grazing intensity index.
DOI: 10.6084/m9.figshare.3514772
title: Appendix A. Summary tables, by biome, of experimental or observational nitrogen (N) deposition impact studies assessed in our study.

description: Summary tables, by biome, of experimental or observational nitrogen (N) deposition impact studies assessed in our study.
DOI: 10.6084/m9.figshare.3514769
title: Appendix B. G200 ecoregions with a mean annual nitrogen (N) deposition &gt;10 kg·ha-1·yr-1 for the four scenarios applied: baseline 2000, maximum feasible reduction (MFR), current legislation (CLE), and Intergovernmental Panel on Climate Change (IPCC) Special Report on Emission Scenarios (SRES) A2.

description: G200 ecoregions with a mean annual nitrogen (N) deposition &gt;10 kg·ha-1·yr-1 for the four scenarios applied: baseline 2000, maximum feasible reduction (MFR), current legislation (CLE), and Intergovernmental Panel on Climate Change (IPCC) Special Report on Emission Scenarios (SRES) A2.
DOI: 10.6084/m9.figshare.3514754
title: Erratum. Corrected version of Fig. 7 (which originally appeared in Keeley and Zedler, 2009, Ecological Applications 19:69–94): Seral-stage chaparral in spring 2007, five years after the Bouquet Canyon Fire, dominated by resprouting Adenostoma fasciculatum and ephemeral subshrubs from dormant seedbanks (primarily Lotus scoparius) in northern Los Angeles County (Photo credit: J. Keeley).

description: Corrected version of Fig. 7 (which originally appeared in Keeley and Zedler, 2009, Ecological Applications 19:69–94): Seral-stage chaparral in spring 2007, five years after the Bouquet Canyon Fire, dominated by resprouting Adenostoma fasciculatum and ephemeral subshrubs from dormant seedbanks (primarily Lotus scoparius) in northern Los Angeles County (Photo credit: J. Keeley).
DOI: 10.6084/m9.figshare.3514754.v1
title: Erratum. Corrected version of Fig. 7 (which originally appeared in Keeley and Zedler, 2009, Ecological Applications 19:69–94): Seral-stage chaparral in spring 2007, five years after the Bouquet Canyon Fire, dominated by resprouting Adenostoma fasciculatum and ephemeral subshrubs from dormant seedbanks (primarily Lotus scoparius) in northern Los Angeles County (Photo credit: J. Keeley).

description: Corrected version of Fig. 7 (which originally appeared in Keeley and Zedler, 2009, Ecological Applications 19:69–94): Seral-stage chaparral in spring 2007, five years after the Bouquet Canyon Fire, dominated by resprouting Adenostoma fasciculatum and ephemeral subshrubs from dormant seedbanks (primarily Lotus scoparius) in northern Los Angeles County (Photo credit: J. Keeley).
DOI: 10.6084/m9.figshare.3514748
title: Erratum. Corrected version of Fig. 4 (which originally appeared in McClellan et al., 2009, Ecological Applications 19:1660–1671): Map of large-mesh gill nets (blue circles) and sea turtle bycatch (stars) observed by NCDMF (North Carolina Division of Marine Fisheries), September–December 2002–2004.

description: Corrected version of Fig. 4 (which originally appeared in McClellan et al., 2009, Ecological Applications 19:1660–1671): Map of large-mesh gill nets (blue circles) and sea turtle bycatch (stars) observed by NCDMF (North Carolina Division of Marine Fisheries), September–December 2002–2004.
DOI: 10.6084/m9.figshare.3514748.v1
title: Erratum. Corrected version of Fig. 4 (which originally appeared in McClellan et al., 2009, Ecological Applications 19:1660–1671): Map of large-mesh gill nets (blue circles) and sea turtle bycatch (stars) observed by NCDMF (North Carolina Division of Marine Fisheries), September–December 2002–2004.

description: Corrected version of Fig. 4 (which originally appeared in McClellan et al., 2009, Ecological Applications 19:1660–1671): Map of large-mesh gill nets (blue circles) and sea turtle bycatch (stars) observed by NCDMF (North Carolina Division of Marine Fisheries), September–December 2002–2004.
DOI: 10.6084/m9.figshare.3514745
title: Appendix A. Environmental characteristics of reference forest plots in the seven surveyed ski areas.

description: Environmental characteristics of reference forest plots in the seven surveyed ski areas.
DOI: 10.6084/m9.figshare.3514745.v1
title: Appendix A. Environmental characteristics of reference forest plots in the seven surveyed ski areas.

description: Environmental characteristics of reference forest plots in the seven surveyed ski areas.
DOI: 10.6084/m9.figshare.3514742
title: Appendix B. MANOVA statistics for four analyses corresponding to aspects of ecosystem function.

description: MANOVA statistics for four analyses corresponding to aspects of ecosystem function.
DOI: 10.6084/m9.figshare.3514742.v1
title: Appendix B. MANOVA statistics for four analyses corresponding to aspects of ecosystem function.

description: MANOVA statistics for four analyses corresponding to aspects of ecosystem function.
DOI: 10.6084/m9.figshare.3514739
title: Appendix A. Selected plot locations and numbers within disturbance categories for the three sample years.

description: Selected plot locations and numbers within disturbance categories for the three sample years.
DOI: 10.6084/m9.figshare.3514739.v1
title: Appendix A. Selected plot locations and numbers within disturbance categories for the three sample years.

description: Selected plot locations and numbers within disturbance categories for the three sample years.
DOI: 10.6084/m9.figshare.3514736
title: Appendix B. A table showing descriptive statistics for vegetation variables.

description: A table showing descriptive statistics for vegetation variables.
DOI: 10.6084/m9.figshare.3514736.v1
title: Appendix B. A table showing descriptive statistics for vegetation variables.

description: A table showing descriptive statistics for vegetation variables.
DOI: 10.6084/m9.figshare.3514733
title: Appendix C. Distribution and cover of individual exotic species present on LTETM plots.

description: Distribution and cover of individual exotic species present on LTETM plots.
DOI: 10.6084/m9.figshare.3514733.v1
title: Appendix C. Distribution and cover of individual exotic species present on LTETM plots.

description: Distribution and cover of individual exotic species present on LTETM plots.
DOI: 10.6084/m9.figshare.3514730
title: Appendix D. A table showing hierarchical multiple linear regression models examining factors influencing native woody species richness in two sample years.

description: A table showing hierarchical multiple linear regression models examining factors influencing native woody species richness in two sample years.
DOI: 10.6084/m9.figshare.3514730.v1
title: Appendix D. A table showing hierarchical multiple linear regression models examining factors influencing native woody species richness in two sample years.

description: A table showing hierarchical multiple linear regression models examining factors influencing native woody species richness in two sample years.
DOI: 10.6084/m9.figshare.3514727
title: Appendix E. A table showing hierarchical multiple linear regression models examining factors influencing density of live adult native woody species in two sample years.

description: A table showing hierarchical multiple linear regression models examining factors influencing density of live adult native woody species in two sample years.
DOI: 10.6084/m9.figshare.3514727.v1
title: Appendix E. A table showing hierarchical multiple linear regression models examining factors influencing density of live adult native woody species in two sample years.

description: A table showing hierarchical multiple linear regression models examining factors influencing density of live adult native woody species in two sample years.
DOI: 10.6084/m9.figshare.3514724
title: Appendix F. A table showing hierarchical multiple linear regression models examining factors influencing density of native woody species seedlings in two sample years.

description: A table showing hierarchical multiple linear regression models examining factors influencing density of native woody species seedlings in two sample years.
DOI: 10.6084/m9.figshare.3514724.v1
title: Appendix F. A table showing hierarchical multiple linear regression models examining factors influencing density of native woody species seedlings in two sample years.

description: A table showing hierarchical multiple linear regression models examining factors influencing density of native woody species seedlings in two sample years.
DOI: 10.6084/m9.figshare.3514721
title: Appendix G. A table showing hierarchical multiple linear regression models examining factors influencing of native perennial herb cover in three sample years.

description: A table showing hierarchical multiple linear regression models examining factors influencing of native perennial herb cover in three sample years.
DOI: 10.6084/m9.figshare.3514721.v1
title: Appendix G. A table showing hierarchical multiple linear regression models examining factors influencing of native perennial herb cover in three sample years.

description: A table showing hierarchical multiple linear regression models examining factors influencing of native perennial herb cover in three sample years.
DOI: 10.6084/m9.figshare.3514718
title: Appendix H. A table showing hierarchical multiple linear regression models examining factors influencing of native perennial herb species richness in two sample years.

description: A table showing hierarchical multiple linear regression models examining factors influencing of native perennial herb species richness in two sample years.
DOI: 10.6084/m9.figshare.3514718.v1
title: Appendix H. A table showing hierarchical multiple linear regression models examining factors influencing of native perennial herb species richness in two sample years.

description: A table showing hierarchical multiple linear regression models examining factors influencing of native perennial herb species richness in two sample years.
DOI: 10.6084/m9.figshare.3514715
title: Appendix I. A table showing hierarchical multiple linear regression models examining factors influencing of native annual herb cover in three sample years.

description: A table showing hierarchical multiple linear regression models examining factors influencing of native annual herb cover in three sample years.