cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.3556806.v1
title: Appendix C. Results of basic simulations and location-based availability simulations.

description: Results of basic simulations and location-based availability simulations.
DOI: 10.6084/m9.figshare.3556803
title: Supplement 1. R code used in simulations and .R data files used in empirical deer analysis presented in the paper.

description: File List Northrup_et_al_sim1.R (MD5: 7871a38651afc40d2fc94a39017b0350) Northrup_et_al_sim2.R (MD5: 657d577665837eb60db6d221c9531163) Northrup_et_al_sim3.R (MD5: 94adf95bcd9368d56c893dd2652be15b) Northrup_et_al_deer.R (MD5: af1edd7b19575e791f08095d93f46ff5) avail.file.R (MD5: 18c3f792f9cad9683b12fe5cf41bad97) used.file.R (MD5: 2b7f7836b9f38cbd02efbdea561d2305) elev_simple.asc (MD5: 3f265f17358719e0fae209b989c4ca5d) Description Northrup_et_al_sim1.R: Simulation of use-availability data as a point process at 3rd order scale and fitting of resource selection functions with varying availability samples that are matched or mismatched to the used sample. Covariate used is elevation, from the Piceance Basin NW Colorado. Northrup_et_al_sim2.R: Simulation of use-availability data as a point process at 3rd/4th order scale and fitting of resource selection functions with varying availability samples that are matched or mismatched to the used sample. Covariates simulated as Gaussian random field. Northrup_et_al_sim3.R: Simulation of use-availability data as a point process at 3rd order scale and fitting of resource selection functions with varying availability samples that are matched or mismatched to the used sample. Covariates simulated as Gaussian random field. Northrup_et_al_deer.R: Code for testing convergence of resource selection function coefficients as a function of availability sample size for one mule deer and 3 covariates, elevation, distance to roads, and slope. avail.file.R: Environmental covariates at available locations used in "Northrup_et_al_deer.R" code. used.file.R: Environmental covariates at used locations used in "Northrup_et_al_deer.R" code. elev_simple.asc: ASCII file of elevation in the Piceance Basin, for use in "Northrup_et_al_sim1.R."
DOI: 10.6084/m9.figshare.3556800
title: Appendix A. Details of the methods related to collection and maintenance of experimental organisms.

description: Details of the methods related to collection and maintenance of experimental organisms.
DOI: 10.6084/m9.figshare.3556800.v1
title: Appendix A. Details of the methods related to collection and maintenance of experimental organisms.

description: Details of the methods related to collection and maintenance of experimental organisms.
DOI: 10.6084/m9.figshare.3556797
title: Appendix B. A table detailing collection dates, experiment dates, and predator incubation periods for Experiments 1, 2, and 3.

description: A table detailing collection dates, experiment dates, and predator incubation periods for Experiments 1, 2, and 3.
DOI: 10.6084/m9.figshare.3556797.v1
title: Appendix B. A table detailing collection dates, experiment dates, and predator incubation periods for Experiments 1, 2, and 3.

description: A table detailing collection dates, experiment dates, and predator incubation periods for Experiments 1, 2, and 3.
DOI: 10.6084/m9.figshare.3556794
title: Appendix C. A table providing the names and characteristics of the native and invasive zooplanktivores used in Experiments 1 and 2.

description: A table providing the names and characteristics of the native and invasive zooplanktivores used in Experiments 1 and 2.
DOI: 10.6084/m9.figshare.3556794.v1
title: Appendix C. A table providing the names and characteristics of the native and invasive zooplanktivores used in Experiments 1 and 2.

description: A table providing the names and characteristics of the native and invasive zooplanktivores used in Experiments 1 and 2.
DOI: 10.6084/m9.figshare.3556791
title: Appendix D. How predator densities were chosen for cue treatments and details on the creation of cue water for Experiment 2.

description: How predator densities were chosen for cue treatments and details on the creation of cue water for Experiment 2.
DOI: 10.6084/m9.figshare.3556791.v1
title: Appendix D. How predator densities were chosen for cue treatments and details on the creation of cue water for Experiment 2.

description: How predator densities were chosen for cue treatments and details on the creation of cue water for Experiment 2.
DOI: 10.6084/m9.figshare.3556785
title: Appendix A. Detailed description of methodology and supplemental results on time lags.

description: Detailed description of methodology and supplemental results on time lags.
DOI: 10.6084/m9.figshare.3556785.v1
title: Appendix A. Detailed description of methodology and supplemental results on time lags.

description: Detailed description of methodology and supplemental results on time lags.
DOI: 10.6084/m9.figshare.3556779
title: Data Paper. Data Paper

description: File List allrecords_density.csv (MD5: a402cf1e63f2d7f141c233553375430a) allrecords_cover.csv (MD5: d03e1ed92c34cb02656b7bc1f419addb) quad_inventory.csv (MD5: 2a48e9b26527feb44976703065bab3f8) quad_info.csv (MD5: cf6a9ea425049e5892b6fe679d51df91) quad_stocking_rate.csv (MD5: 9c4bfc65ea924777b7ccfa8e1fa80a4a) daily_climate_data.csv (MD5: 8f28d4b6c636f720d8a75e78aac594b5) species_list.csv (MD5: 6abaa00e0b2744c3da8361509d33ee04) species_name_changes.csv (MD5: daae6f3b8983c41e83fbe2f2815a053e) shapefiles.zip (MD5: 32b1fa8d6d9edba2499dd45f60033553) Description This data set was created to map and analyze demographic rates of many common plant species in the shortgrass steppe of North America under grazed and ungrazed conditions. Twenty-four permanent 1-m² quadrats were established as part of the Shortgrass Steppe Long Term Ecological Research project in six grazed and ungrazed study sites on the Central Plains Experimental Range in Nunn, Colorado, USA. We used a pantograph to record the location and shape of individual plants annually from 1997 to 2010. These data make it possible to determine the fate of individual plants using a Geographic Information System and spatial analysis techniques. The data provide unique opportunities to test the interactive effects of grazing and climate variables on demographic rates, plant–plant interactions, and population and community dynamics. We provide the following data and data formats: (1) the digitized maps in shapefile format; (2) a tabular representation of centroid or point location (x, y coordinates), and basal cover (m²) for plants mapped as polygons; (3) quadrat information including location (longitude and latitude), elevation, and livestock grazing treatment and history; (4) detailed information on stocking rates during the period of quadrat sampling; (5) daily temperature and precipitation values; (6) a species list including the total records for each species, plant growth forms, and longevity; and (7) an inventory of the years each quadrat was sampled. <i>Key words: climate; Colorado; Geographic Information Systems (GIS); livestock grazing; plant community; plant demography; shortgrass steppe; species interaction.</i>
DOI: 10.34740/kaggle/dsv/1461694
title: COVID-19 cases by Continent
DOI: 10.6084/m9.figshare.3556776
title: Data Paper. Data Paper

description: File List Full_trace_elemental_concentrations_ratios_Echinodermata.csv (MD5: e3aca29305b72ec8d8bf23204237e639) Full_trace_elemental_concentrations_ratios_latitude_Echinodermata.csv (MD5: 5bab247412aad7047f36064c5aba4e9c) Description Biogenic carbonate production in benthic marine ecosystems is dominated by representatives of the Echinodermata. Carbon and other major, minor, and trace elements are exported to the seabed where they accumulate or dissolve. Preserved carbonates (Mg-calcite) have applications in oceanography and geochemistry and are used to reconstruct various parameters of ancient seawater, such as temperature (from Mg/Ca, Sr/Ca), seawater Mg/Ca (from Mg/Ca), and pH (from B/Ca). In general, the benthos is widely ignored for its role in the global carbon cycle despite the importance of echinoderms as a carbon sink (~ 0.1–0.2 Pg C/yr). Echinoderms produce their skeletons from Mg-calcite, which is more soluble than pure calcite and, therefore, more vulnerable to ocean acidification (OA). Little is known about the concentration of minor and trace elements within their tests, which can also destabilize the calcite lattice increasing the mineral’s solubility. Expanding our knowledge on their composition will improve our understanding of elemental flux in the oceans. Furthermore, establishing relationships between the physical parameters of seawater and minor/trace elemental ratios within echinoderm Mg-calcite should expand the utility of fossils, renowned for their high-quality preservation as geochemical archives. Herein, we present elemental composition data for Asteroidea (<i>n</i> = 108; 9 families, 23 species), Echinoidea (<i>n</i> = 94; 8 families, 12 species), Ophiuroidea (<i>n</i> = 24; 4 families, 5 species), Holothuroidea (<i>n</i> = 7; 3 families, 3 species), and Crinoidea (<i>n</i> = 3; 1 family, 1 species), collected from the Arctic to the Antarctic Oceans, from depths ranging from surface waters to 1200 m. The following elements were measured and normalized to [Ca]: Li, Be, Mg, Al, P, S, K, Sc, Ti, V, Cr, Mn, Fe, Co, Ni, Cu, Zn, Ga, Ge, As, Se, Rb, Sr, Y, Zr, Mo, Ag, Cd, Sn, Sb, Te, Ba, La, Ce, Nd, Dy, W, Re, Au, Hg, Tl, Pb, Bi, and U. Data are presented for the whole body, arms (plates), calcareous ossicles, spines, and test plates. Elements were quantified using inductively coupled plasma mass spectrometry. Our study presents the most comprehensive data set to date for a phylum whose skeletons are composed of Mg-calcite. <i> Key words: biomineralization; calcification; carbonate; Echinodermata; elemental composition; ICPMS; Mg-calcite; minor elements; ocean acidification; paleoceanography; paleoproxies; trace elements. </i>
DOI: 10.6084/m9.figshare.3556776.v1
title: Data Paper. Data Paper

description: File List Full_trace_elemental_concentrations_ratios_Echinodermata.csv (MD5: e3aca29305b72ec8d8bf23204237e639) Full_trace_elemental_concentrations_ratios_latitude_Echinodermata.csv (MD5: 5bab247412aad7047f36064c5aba4e9c) Description Biogenic carbonate production in benthic marine ecosystems is dominated by representatives of the Echinodermata. Carbon and other major, minor, and trace elements are exported to the seabed where they accumulate or dissolve. Preserved carbonates (Mg-calcite) have applications in oceanography and geochemistry and are used to reconstruct various parameters of ancient seawater, such as temperature (from Mg/Ca, Sr/Ca), seawater Mg/Ca (from Mg/Ca), and pH (from B/Ca). In general, the benthos is widely ignored for its role in the global carbon cycle despite the importance of echinoderms as a carbon sink (~ 0.1–0.2 Pg C/yr). Echinoderms produce their skeletons from Mg-calcite, which is more soluble than pure calcite and, therefore, more vulnerable to ocean acidification (OA). Little is known about the concentration of minor and trace elements within their tests, which can also destabilize the calcite lattice increasing the mineral’s solubility. Expanding our knowledge on their composition will improve our understanding of elemental flux in the oceans. Furthermore, establishing relationships between the physical parameters of seawater and minor/trace elemental ratios within echinoderm Mg-calcite should expand the utility of fossils, renowned for their high-quality preservation as geochemical archives. Herein, we present elemental composition data for Asteroidea (<i>n</i> = 108; 9 families, 23 species), Echinoidea (<i>n</i> = 94; 8 families, 12 species), Ophiuroidea (<i>n</i> = 24; 4 families, 5 species), Holothuroidea (<i>n</i> = 7; 3 families, 3 species), and Crinoidea (<i>n</i> = 3; 1 family, 1 species), collected from the Arctic to the Antarctic Oceans, from depths ranging from surface waters to 1200 m. The following elements were measured and normalized to [Ca]: Li, Be, Mg, Al, P, S, K, Sc, Ti, V, Cr, Mn, Fe, Co, Ni, Cu, Zn, Ga, Ge, As, Se, Rb, Sr, Y, Zr, Mo, Ag, Cd, Sn, Sb, Te, Ba, La, Ce, Nd, Dy, W, Re, Au, Hg, Tl, Pb, Bi, and U. Data are presented for the whole body, arms (plates), calcareous ossicles, spines, and test plates. Elements were quantified using inductively coupled plasma mass spectrometry. Our study presents the most comprehensive data set to date for a phylum whose skeletons are composed of Mg-calcite. <i> Key words: biomineralization; calcification; carbonate; Echinodermata; elemental composition; ICPMS; Mg-calcite; minor elements; ocean acidification; paleoceanography; paleoproxies; trace elements. </i>
DOI: 10.6084/m9.figshare.3556773
title: Data Paper. Data Paper

description: File List MosquitoDB.zip (MD5: 6f1213850fff02eb287d59f3dd1e4cde)Description Mosquitoes are ecologically and economically important invertebrates that transmit numerous diseases and are an integral part of the food web in many terrestrial and aquatic ecosystems. Despite their importance, there have been no central repositories for occurrence or abundance records of mosquitoes in the United States. To enable research dependent on the geographic distribution and abundance of mosquito species, we built a database of occurrence records collected by many individuals and agencies, primarily in the United States and with emphasis on unpublished data in the Midwest region. This resource is invaluable to researchers studying mosquito ecology, disease vectors and pathways, and insect pests. The database contains 542 144 occurrence records and each record includes information on sex, life stage, sampling method, presence/absence or abundance, and date and location of sampling. The accessibility of this resource will directly impact management and planning for mosquito-borne diseases with region-specific or species-specific modeling. Because there is little centralized ecological information on mosquitoes, this database is foundational to expanding knowledge of mosquito ecology. <i>Key words: mosquito ranges; </i>Culex; Aedes<i>; sampling.</i>
DOI: 10.6084/m9.figshare.3556773.v1
title: Data Paper. Data Paper

description: File List MosquitoDB.zip (MD5: 6f1213850fff02eb287d59f3dd1e4cde)Description Mosquitoes are ecologically and economically important invertebrates that transmit numerous diseases and are an integral part of the food web in many terrestrial and aquatic ecosystems. Despite their importance, there have been no central repositories for occurrence or abundance records of mosquitoes in the United States. To enable research dependent on the geographic distribution and abundance of mosquito species, we built a database of occurrence records collected by many individuals and agencies, primarily in the United States and with emphasis on unpublished data in the Midwest region. This resource is invaluable to researchers studying mosquito ecology, disease vectors and pathways, and insect pests. The database contains 542 144 occurrence records and each record includes information on sex, life stage, sampling method, presence/absence or abundance, and date and location of sampling. The accessibility of this resource will directly impact management and planning for mosquito-borne diseases with region-specific or species-specific modeling. Because there is little centralized ecological information on mosquitoes, this database is foundational to expanding knowledge of mosquito ecology. <i>Key words: mosquito ranges; </i>Culex; Aedes<i>; sampling.</i>
DOI: 10.6084/m9.figshare.3556770
title: Supplement 1. R script files to perform the simulations of Figs. 1, 2, and 3.

description: File List methods.R (MD5: a6dbce8775f7e95f915c257b09df8eb9) Figure1.R (MD5: 771bfccf830ed45207ad7f42e1dc3b89) Figure2and3.R (MD5: 6030b26a7b56c6a4a1a87afdef477e33) Description The fiel methods.R contains implementations of five methods for fitting logistic models using presence-only data: Expectation-Maximization (EM), Lancaster-Imbens (LI), Lele-Keim (LK), Scaled binomial loss (SB), and Steinberg-Cardell (SC). All methods take as input a matrix of presence data and a matrix of background data, with columns corresponding to environmental predictors. The EM, SB and SC methods also take a third argument: an estimate of species prevalence. Figure1.R contains code for making Fig. 1 in the paper. Comment lines explain the code, describe how to run it, and describe the arguments to the methods. Figure2and3.R contains code for making plots as shown in Figs. 2 and 3 in the paper. Comment lines explain the code, describe how to run it, and describe the arguments to the methods.
DOI: 10.6084/m9.figshare.3556770.v1
title: Supplement 1. R script files to perform the simulations of Figs. 1, 2, and 3.

description: File List methods.R (MD5: a6dbce8775f7e95f915c257b09df8eb9) Figure1.R (MD5: 771bfccf830ed45207ad7f42e1dc3b89) Figure2and3.R (MD5: 6030b26a7b56c6a4a1a87afdef477e33) Description The fiel methods.R contains implementations of five methods for fitting logistic models using presence-only data: Expectation-Maximization (EM), Lancaster-Imbens (LI), Lele-Keim (LK), Scaled binomial loss (SB), and Steinberg-Cardell (SC). All methods take as input a matrix of presence data and a matrix of background data, with columns corresponding to environmental predictors. The EM, SB and SC methods also take a third argument: an estimate of species prevalence. Figure1.R contains code for making Fig. 1 in the paper. Comment lines explain the code, describe how to run it, and describe the arguments to the methods. Figure2and3.R contains code for making plots as shown in Figs. 2 and 3 in the paper. Comment lines explain the code, describe how to run it, and describe the arguments to the methods.
DOI: 10.6084/m9.figshare.3556767
title: Appendix A. The studied species Andrena humilis.

description: The studied species Andrena humilis.
DOI: 10.6084/m9.figshare.3556767.v1
title: Appendix A. The studied species Andrena humilis.

description: The studied species Andrena humilis.
DOI: 10.6084/m9.figshare.3556764
title: Appendix B. Yearly population and climate data.

description: Yearly population and climate data.
DOI: 10.6084/m9.figshare.3556764.v1
title: Appendix B. Yearly population and climate data.

description: Yearly population and climate data.
DOI: 10.6084/m9.figshare.3556761
title: Appendix C. Results from the OLS regressions exploring temporal autocorrelation.

description: Results from the OLS regressions exploring temporal autocorrelation.
DOI: 10.6084/m9.figshare.3556758
title: Appendix D. Patch characteristics.

description: Patch characteristics.
DOI: 10.6084/m9.figshare.3556758.v1
title: Appendix D. Patch characteristics.

description: Patch characteristics.
DOI: 10.6084/m9.figshare.3556755
title: Appendix E. Occupancy pattern of Andrena humilis from 2003 to 2011.

description: Occupancy pattern of Andrena humilis from 2003 to 2011.
DOI: 10.6084/m9.figshare.3556755.v1
title: Appendix E. Occupancy pattern of Andrena humilis from 2003 to 2011.

description: Occupancy pattern of Andrena humilis from 2003 to 2011.
DOI: 10.6084/m9.figshare.3556752
title: Appendix A. Description of the plant traits used in the analysis.

description: Description of the plant traits used in the analysis.
DOI: 10.6084/m9.figshare.3556752.v1
title: Appendix A. Description of the plant traits used in the analysis.

description: Description of the plant traits used in the analysis.
DOI: 10.6084/m9.figshare.3556749
title: Appendix B. Details of phylogenetic correction methods.

description: Details of phylogenetic correction methods.
DOI: 10.6084/m9.figshare.3556749.v1
title: Appendix B. Details of phylogenetic correction methods.

description: Details of phylogenetic correction methods.
DOI: 10.6084/m9.figshare.3556746
title: Appendix C. PCA biplot of plant trait and species occurrence data from the total MycoFlor data set.

description: PCA biplot of plant trait and species occurrence data from the total MycoFlor data set.
DOI: 10.6084/m9.figshare.3556746.v1
title: Appendix C. PCA biplot of plant trait and species occurrence data from the total MycoFlor data set.

description: PCA biplot of plant trait and species occurrence data from the total MycoFlor data set.
DOI: 10.6084/m9.figshare.3556743
title: Appendix D. References for the mycorrhizal status information in MycoFlor given in the Supplement.

description: References for the mycorrhizal status information in MycoFlor given in the Supplement.
DOI: 10.6084/m9.figshare.3556743.v1
title: Appendix D. References for the mycorrhizal status information in MycoFlor given in the Supplement.

description: References for the mycorrhizal status information in MycoFlor given in the Supplement.
DOI: 10.6084/m9.figshare.3556740
title: Supplement 1. MycoFlor database containing information on the mycorrhizal status of 1758 plant species, the source of the information, and whether the source is considered reliable.

description: File List MycoFlor.txt (MD5: ab88d1ee06fd54545b5411a23b2ccae8) -- The MycoFlor database Description MycoFlor.txt MycoFlor database containing information on the mycorrhizal status of 1758 plant species, the source of the information, and whether the source is considered reliable; Mycorrhizal status types are named according to Smith and Read (2008): ABM arbutoid mycorrhiza, AM Arbuscular mycorrhiza, ECM ectomycorrhiza, EEM ectendomycorrhiza, ERM ericoid mycorrhiza, MTM monotropoid, M(endo) mycorrhizal colonization by septated (not arbuscular mycorrhizal) fungi, NM non-mycorrhizal, ORM orchid mycorrhiza; No. ref gives the number of primary references used to assign the mycorrhizal status of a plant calculated by tracing back the successive citations; References are given in detail in Appendix D; indexed indicates whether the source of information came from a journal listed in ISI, EBSCO, SCOPUS, CABI or a book/book chapter of an international publisher as a proxy to data quality.
DOI: 10.6084/m9.figshare.3556737
title: Appendix A. Map showing the location of populations sampled in the study.

description: Map showing the location of populations sampled in the study.
DOI: 10.6084/m9.figshare.3556737.v1
title: Appendix A. Map showing the location of populations sampled in the study.

description: Map showing the location of populations sampled in the study.
DOI: 10.6084/m9.figshare.3556734
title: Appendix B. Vital rate mean values for each population and transition.

description: Vital rate mean values for each population and transition.
DOI: 10.6084/m9.figshare.3556734.v1
title: Appendix B. Vital rate mean values for each population and transition.

description: Vital rate mean values for each population and transition.
DOI: 10.6084/m9.figshare.3556731
title: Appendix C. Description of calculation of percentage contribution of mean and standard deviation values of life cycle components.

description: Description of calculation of percentage contribution of mean and standard deviation values of life cycle components.
DOI: 10.6084/m9.figshare.3556731.v1
title: Appendix C. Description of calculation of percentage contribution of mean and standard deviation values of life cycle components.

description: Description of calculation of percentage contribution of mean and standard deviation values of life cycle components.
DOI: 10.6084/m9.figshare.3556728
title: Appendix D. Components of SLTRE: stochastic sensitivities, differences in vital rates between study and reference populations and contributions of single vital rates.

description: Components of SLTRE: stochastic sensitivities, differences in vital rates between study and reference populations and contributions of single vital rates.
DOI: 10.6084/m9.figshare.3556725
title: Appendix E. Environmental variables in sampled populations and canonical correlations of environmental variables from the Linear Discriminant Analysis.

description: Environmental variables in sampled populations and canonical correlations of environmental variables from the Linear Discriminant Analysis.