cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.3529136.v1
title: Appendix B. Results of general linear models using Type I sums of squares, testing the effects of functional group richness, species richness, and abundance on the pollination success of Coffea arabica and Coffea canephora.

description: Results of general linear models using Type I sums of squares, testing the effects of functional group richness, species richness, and abundance on the pollination success of Coffea arabica and Coffea canephora.
DOI: 10.6084/m9.figshare.3529133
title: Appendix C. Flower-visiting and pollinating insect groups and species of coffee and cacao in South America and Southeast Asia.

description: Flower-visiting and pollinating insect groups and species of coffee and cacao in South America and Southeast Asia.
DOI: 10.6084/m9.figshare.3529133.v1
title: Appendix C. Flower-visiting and pollinating insect groups and species of coffee and cacao in South America and Southeast Asia.

description: Flower-visiting and pollinating insect groups and species of coffee and cacao in South America and Southeast Asia.
DOI: 10.6084/m9.figshare.3529130
title: Appendix A. Supplementary methods for literature search, study selection, effect size calculations, and analyses of bird predation and diversity effects.

description: Supplementary methods for literature search, study selection, effect size calculations, and analyses of bird predation and diversity effects.
DOI: 10.6084/m9.figshare.3529130.v1
title: Appendix A. Supplementary methods for literature search, study selection, effect size calculations, and analyses of bird predation and diversity effects.

description: Supplementary methods for literature search, study selection, effect size calculations, and analyses of bird predation and diversity effects.
DOI: 10.6084/m9.figshare.3529127
title: Appendix B. A table describing bird exclosure studies included in meta-analysis.

description: A table describing bird exclosure studies included in meta-analysis.
DOI: 10.6084/m9.figshare.3529127.v1
title: Appendix B. A table describing bird exclosure studies included in meta-analysis.

description: A table describing bird exclosure studies included in meta-analysis.
DOI: 10.6084/m9.figshare.3529124
title: Appendix A. Details of logarithmic binning, cumulative distribution function fitting, and maximum likelihood estimation.

description: Details of logarithmic binning, cumulative distribution function fitting, and maximum likelihood estimation.
DOI: 10.6084/m9.figshare.3529121
title: Appendix B. Details of reanalysis of results published in Meehan (2006) and Enquist and Niklas (2001).

description: Details of reanalysis of results published in Meehan (2006) and Enquist and Niklas (2001).
DOI: 10.6084/m9.figshare.3529121.v1
title: Appendix B. Details of reanalysis of results published in Meehan (2006) and Enquist and Niklas (2001).

description: Details of reanalysis of results published in Meehan (2006) and Enquist and Niklas (2001).
DOI: 10.6084/m9.figshare.3529118
title: Appendix C. Example of bias resulting from fitting discrete data with continuous maximum likelihood solutions.

description: Example of bias resulting from fitting discrete data with continuous maximum likelihood solutions.
DOI: 10.6084/m9.figshare.3529115
title: Supplement 1. Matlab files for fitting power-law exponents using different methods.

description: File List cdf_pareto.m -- Matlab file for fitting the CDF of the Pareto distribution cdf_power.m -- Matlab file for fitting the CDF of the Power distribution linbin_estimator.m -- Matlab file for fitting linearly binned data logbin_estimator.m -- Matlab file for fitting normalized logarithmicly binned data mle_discretepareto.m -- Matlab file for maximum likelihood estimation of the discrete Pareto distribution mle_pareto.m -- Matlab file for maximum likelihood estimation of the Pareto distribution mle_power.m -- Matlab file for maximum likelihood estimation of the Power Function distribution mle_truncpareto.m -- Matlab file for maximum likelihood estimation of the truncated Pareto distribution allfiles.zip -- Download all files at once Description The accompanying Matlab files perform each of the different fitting methods described in the original paper. Depending on the method there may be several different files to allow the fitting of the different distributions described in the original paper. All files take a vector data that is list of each observed value of x, as well as a series of arguments that are unique to each combination of method and distribution. Detailed descriptions of these arguments are provided in a comment header at the beginning of each file. All files are also heavily commented for clarity. For non-Matlab users, m-files can be opened using any standard text editor (note: % is the comment symbol).
DOI: 10.6084/m9.figshare.3529115.v1
title: Supplement 1. Matlab files for fitting power-law exponents using different methods.

description: File List cdf_pareto.m -- Matlab file for fitting the CDF of the Pareto distribution cdf_power.m -- Matlab file for fitting the CDF of the Power distribution linbin_estimator.m -- Matlab file for fitting linearly binned data logbin_estimator.m -- Matlab file for fitting normalized logarithmicly binned data mle_discretepareto.m -- Matlab file for maximum likelihood estimation of the discrete Pareto distribution mle_pareto.m -- Matlab file for maximum likelihood estimation of the Pareto distribution mle_power.m -- Matlab file for maximum likelihood estimation of the Power Function distribution mle_truncpareto.m -- Matlab file for maximum likelihood estimation of the truncated Pareto distribution allfiles.zip -- Download all files at once Description The accompanying Matlab files perform each of the different fitting methods described in the original paper. Depending on the method there may be several different files to allow the fitting of the different distributions described in the original paper. All files take a vector data that is list of each observed value of x, as well as a series of arguments that are unique to each combination of method and distribution. Detailed descriptions of these arguments are provided in a comment header at the beginning of each file. All files are also heavily commented for clarity. For non-Matlab users, m-files can be opened using any standard text editor (note: % is the comment symbol).
DOI: 10.6084/m9.figshare.3529112
title: Full Archive

description: Full Archive
DOI: 10.6084/m9.figshare.3529112.v1
title: Full Archive

description: Full Archive
DOI: 10.6084/m9.figshare.3529109
title: Appendix A. Simulation details.

description: Simulation details.
DOI: 10.6084/m9.figshare.3529109.v1
title: Appendix A. Simulation details.

description: Simulation details.
DOI: 10.6084/m9.figshare.3529106
title: Appendix B. Parameter values.

description: Parameter values.
DOI: 10.6084/m9.figshare.3529106.v1
title: Appendix B. Parameter values.

description: Parameter values.
DOI: 10.6084/m9.figshare.3529103
title: Supplement 1. Source code for simulations.

description: File List scanning.tar.gz -- Compressed archive with the C source code files README -- Instructions for compilation and use Description This program 'xscanning' performs a given number of numerical integrations for the multispecies Droop model. The simulation parameters are described in the 'header.h' file, and can be modified there. These parameters include: BAND : the dominant band of the R-star matrix MAX : the number of species(=resources) RRANGE: the range from which the R-star values are chosen FRANGE: the range from which the F-hat values are chosen RUNS : the number of runs TIME : the number of days per run The program takes care of the generation of V, K, and Q matrices according to the rules described in Appendix A. The source code is written in ANSI-C and makes use of the GNU Scientific Library for numerical integration of ordinary differential equations http://www.gnu.org/software/gsl/. More details in the README file.
DOI: 10.6084/m9.figshare.3529103.v1
title: Supplement 1. Source code for simulations.

description: File List scanning.tar.gz -- Compressed archive with the C source code files README -- Instructions for compilation and use Description This program 'xscanning' performs a given number of numerical integrations for the multispecies Droop model. The simulation parameters are described in the 'header.h' file, and can be modified there. These parameters include: BAND : the dominant band of the R-star matrix MAX : the number of species(=resources) RRANGE: the range from which the R-star values are chosen FRANGE: the range from which the F-hat values are chosen RUNS : the number of runs TIME : the number of days per run The program takes care of the generation of V, K, and Q matrices according to the rules described in Appendix A. The source code is written in ANSI-C and makes use of the GNU Scientific Library for numerical integration of ordinary differential equations http://www.gnu.org/software/gsl/. More details in the README file.
DOI: 10.6084/m9.figshare.3529100
title: Appendix A. Details of the lakes included in this study and carbon isotope values for POM, sediment, and the different chironomid taxa from each lake.

description: Details of the lakes included in this study and carbon isotope values for POM, sediment, and the different chironomid taxa from each lake.
DOI: 10.6084/m9.figshare.3529100.v1
title: Appendix A. Details of the lakes included in this study and carbon isotope values for POM, sediment, and the different chironomid taxa from each lake.

description: Details of the lakes included in this study and carbon isotope values for POM, sediment, and the different chironomid taxa from each lake.
DOI: 10.6084/m9.figshare.3529097
title: Appendix A. Qualitative phylogeny of the native freshwater fishes of the Lower Colorado River Basin examined in our study.

description: Qualitative phylogeny of the native freshwater fishes of the Lower Colorado River Basin examined in our study.
DOI: 10.6084/m9.figshare.3529097.v1
title: Appendix A. Qualitative phylogeny of the native freshwater fishes of the Lower Colorado River Basin examined in our study.

description: Qualitative phylogeny of the native freshwater fishes of the Lower Colorado River Basin examined in our study.
DOI: 10.6084/m9.figshare.12899627
title: Co-expression of Podoplanin and CD90 Identifies Synovial Neoplastic Cells Overproducing CSF-1 That Drive Tenosynovial Giant Cell Tumor

description: Tenosynovial Giant Cell Tumor (TCGT) is a rare neoplasm affecting the synovium of joints, bursae, and tendon sheaths. The overproduction of CSF1 by a minority of the tumor population, works in an autocrine and paracrine fashion to drive tumor growth. Pathology of the reactive, monocytic component has been well elucidated, while understanding of the true neoplastic cells and the sources of CSF-1 overproduction remain relatively unknown. Podoplanin (PDPN, gp38) is a cell surface glycoprotein that is expressed on fibroblast-like synoviocytes, is upregulated in rheumatoid arthritis and many cancers, governing cell mobility, epithelial-mesenchymal transition and other functions, while being associated with prognosis in many solid tumors. We showed the expression of PDPN increased in TGCT compared to patient-controlled healthy synovium. Flow cytometry partitioned PDPNhigh cells into PDPNhigh/CD90+ or PDPNhigh/CD14+ populations. Quantitative real-time polymerase chain reaction analysis of the PDPNhigh/CD90+ cells revealed a 10-fold increase in CSF1 expression. Therefore, we conclude that the fibroblast-like synoviocytes are characterized by the expression of both PDPN and CD90, drive tumor progression, and play an essential role in the pathophysiology of TGCT.
DOI: 10.6084/m9.figshare.12899627.v1
title: Co-expression of Podoplanin and CD90 Identifies Synovial Neoplastic Cells Overproducing CSF-1 That Drive Tenosynovial Giant Cell Tumor

description: Tenosynovial Giant Cell Tumor (TCGT) is a rare neoplasm affecting the synovium of joints, bursae, and tendon sheaths. The overproduction of CSF1 by a minority of the tumor population, works in an autocrine and paracrine fashion to drive tumor growth. Pathology of the reactive, monocytic component has been well elucidated, while understanding of the true neoplastic cells and the sources of CSF-1 overproduction remain relatively unknown. Podoplanin (PDPN, gp38) is a cell surface glycoprotein that is expressed on fibroblast-like synoviocytes, is upregulated in rheumatoid arthritis and many cancers, governing cell mobility, epithelial-mesenchymal transition and other functions, while being associated with prognosis in many solid tumors. We showed the expression of PDPN increased in TGCT compared to patient-controlled healthy synovium. Flow cytometry partitioned PDPNhigh cells into PDPNhigh/CD90+ or PDPNhigh/CD14+ populations. Quantitative real-time polymerase chain reaction analysis of the PDPNhigh/CD90+ cells revealed a 10-fold increase in CSF1 expression. Therefore, we conclude that the fibroblast-like synoviocytes are characterized by the expression of both PDPN and CD90, drive tumor progression, and play an essential role in the pathophysiology of TGCT.
DOI: 10.6084/m9.figshare.3529094
title: Appendix B. Values of range size (species' rarity), frequency of local extirpation, and perceived level/source of extinction risk for native fishes of the Lower Colorado River Basin examined in our study.

description: Values of range size (species' rarity), frequency of local extirpation, and perceived level/source of extinction risk for native fishes of the Lower Colorado River Basin examined in our study.
DOI: 10.6084/m9.figshare.3529094.v1
title: Appendix B. Values of range size (species' rarity), frequency of local extirpation, and perceived level/source of extinction risk for native fishes of the Lower Colorado River Basin examined in our study.

description: Values of range size (species' rarity), frequency of local extirpation, and perceived level/source of extinction risk for native fishes of the Lower Colorado River Basin examined in our study.
DOI: 10.6084/m9.figshare.3529091
title: Appendix C. Terminal node predictions of the decision trees for species' rarity from Fig. 1, frequency of local extirpation from Fig. 2, and perceived level/source of extinction risk from Fig. 3.

description: Terminal node predictions of the decision trees for species' rarity from Fig. 1, frequency of local extirpation from Fig. 2, and perceived level/source of extinction risk from Fig. 3.
DOI: 10.6084/m9.figshare.3529091.v1
title: Appendix C. Terminal node predictions of the decision trees for species' rarity from Fig. 1, frequency of local extirpation from Fig. 2, and perceived level/source of extinction risk from Fig. 3.

description: Terminal node predictions of the decision trees for species' rarity from Fig. 1, frequency of local extirpation from Fig. 2, and perceived level/source of extinction risk from Fig. 3.
DOI: 10.6084/m9.figshare.3529088
title: Appendix A. A map of the Punta de la Banya peninsula showing the main vegetated dunes where gulls can breed.

description: A map of the Punta de la Banya peninsula showing the main vegetated dunes where gulls can breed.
DOI: 10.6084/m9.figshare.3529088.v1
title: Appendix A. A map of the Punta de la Banya peninsula showing the main vegetated dunes where gulls can breed.

description: A map of the Punta de la Banya peninsula showing the main vegetated dunes where gulls can breed.
DOI: 10.6084/m9.figshare.3529085
title: Appendix B. Diagonal m-array of the number of birds R(i) released for the first time or in later occasions, at each year i and resighted at year j(m(i,j)) at each study patch.

description: Diagonal m-array of the number of birds R(i) released for the first time or in later occasions, at each year i and resighted at year j(m(i,j)) at each study patch.
DOI: 10.6084/m9.figshare.3529085.v1
title: Appendix B. Diagonal m-array of the number of birds R(i) released for the first time or in later occasions, at each year i and resighted at year j(m(i,j)) at each study patch.

description: Diagonal m-array of the number of birds R(i) released for the first time or in later occasions, at each year i and resighted at year j(m(i,j)) at each study patch.
DOI: 10.6084/m9.figshare.3529082
title: Appendix A. Model selection and the pool of candidate models.

description: Model selection and the pool of candidate models.
DOI: 10.6084/m9.figshare.3529082.v1
title: Appendix A. Model selection and the pool of candidate models.

description: Model selection and the pool of candidate models.
DOI: 10.6084/m9.figshare.3529079
title: Supplement 1. The raw data used in statistical analyses of risk-sensitive reproductive allocation in reindeer (Rangifer tarandus).

description: File List Metadata.pdf -- An explanation of the variables in the three data sets Improved_(ExpI).txt -- Data for Experiment I Reduced_(ExpII).txt -- Data for Experiment II LongTermFeeding.txt -- Data for long-term feeding manipulation Data.RData -- All three data sets as separate R objects All.zip -- All files at once Description The present study was conducted on semi-domestic reindeer in East Finnmark, northern Norway. The study population, which includes two herds, is most of the time free-ranging. One of the herds has since 2000 been kept in a separate sub-area from February/March until post-calving in late May, and during this time the reindeer were given supplementary winter forage (commercial reindeer pellets). The other herd was free-ranging on natural pastures in all seasons. After the earmarking of calves (normally performed in late May) the two herds were mixed, and they utilized the same pastures until they separated again in January. See Metadata.pdf and main text for detailed descriptions of variables, study design, and experimental translocation of animals between the two herds.
DOI: 10.6084/m9.figshare.3529079.v1
title: Supplement 1. The raw data used in statistical analyses of risk-sensitive reproductive allocation in reindeer (Rangifer tarandus).

description: File List Metadata.pdf -- An explanation of the variables in the three data sets Improved_(ExpI).txt -- Data for Experiment I Reduced_(ExpII).txt -- Data for Experiment II LongTermFeeding.txt -- Data for long-term feeding manipulation Data.RData -- All three data sets as separate R objects All.zip -- All files at once Description The present study was conducted on semi-domestic reindeer in East Finnmark, northern Norway. The study population, which includes two herds, is most of the time free-ranging. One of the herds has since 2000 been kept in a separate sub-area from February/March until post-calving in late May, and during this time the reindeer were given supplementary winter forage (commercial reindeer pellets). The other herd was free-ranging on natural pastures in all seasons. After the earmarking of calves (normally performed in late May) the two herds were mixed, and they utilized the same pastures until they separated again in January. See Metadata.pdf and main text for detailed descriptions of variables, study design, and experimental translocation of animals between the two herds.
DOI: 10.6084/m9.figshare.3529076
title: Appendix A. Main topographic and structural characteristics of the sampling plots.

description: Main topographic and structural characteristics of the sampling plots.
DOI: 10.6084/m9.figshare.3529073
title: Appendix B. Mean values of initial acorn crop, mature acorn crop, and proportion of acorns depredated per tree in the 15 sampled plots.

description: Mean values of initial acorn crop, mature acorn crop, and proportion of acorns depredated per tree in the 15 sampled plots.
DOI: 10.6084/m9.figshare.3529070
title: Appendix C. Components of population-level variation in acorn production.

description: Components of population-level variation in acorn production.
DOI: 10.6084/m9.figshare.3529067
title: Appendix D. Meteorological characteristics during summer (June – August) in the study area from 1998 to 2004.

description: Meteorological characteristics during summer (June – August) in the study area from 1998 to 2004.
DOI: 10.6084/m9.figshare.3529064
title: Appendix A. A description of the plant community types involved.

description: A description of the plant community types involved.
DOI: 10.6084/m9.figshare.3529064.v1
title: Appendix A. A description of the plant community types involved.

description: A description of the plant community types involved.
DOI: 10.6084/m9.figshare.3529061
title: Appendix B. Details on site selection, arthropod sampling, vegetation structure descriptors, environmental measurements, and data analysis.

description: Details on site selection, arthropod sampling, vegetation structure descriptors, environmental measurements, and data analysis.
DOI: 10.6084/m9.figshare.3529061.v1
title: Appendix B. Details on site selection, arthropod sampling, vegetation structure descriptors, environmental measurements, and data analysis.

description: Details on site selection, arthropod sampling, vegetation structure descriptors, environmental measurements, and data analysis.
DOI: 10.6084/m9.figshare.3529058
title: Appendix C. Full arthropod data tables, basic statistics, and comparisons of encountered species numbers with total Dutch species lists.

description: Full arthropod data tables, basic statistics, and comparisons of encountered species numbers with total Dutch species lists.
DOI: 10.6084/m9.figshare.3529058.v1
title: Appendix C. Full arthropod data tables, basic statistics, and comparisons of encountered species numbers with total Dutch species lists.

description: Full arthropod data tables, basic statistics, and comparisons of encountered species numbers with total Dutch species lists.
DOI: 10.6084/m9.figshare.3529055
title: Appendix D. Details on the variables selected in the optimal models predicting arthropod assemblages.

description: Details on the variables selected in the optimal models predicting arthropod assemblages.
DOI: 10.6084/m9.figshare.3529055.v1
title: Appendix D. Details on the variables selected in the optimal models predicting arthropod assemblages.

description: Details on the variables selected in the optimal models predicting arthropod assemblages.
DOI: 10.6084/m9.figshare.3529052
title: Appendix E. A supplementary discussion on differences in predictability between arthropod assemblages.

description: A supplementary discussion on differences in predictability between arthropod assemblages.
DOI: 10.6084/m9.figshare.3529052.v1
title: Appendix E. A supplementary discussion on differences in predictability between arthropod assemblages.

description: A supplementary discussion on differences in predictability between arthropod assemblages.
DOI: 10.6084/m9.figshare.3529049
title: Appendix A. A table listing the identified phospholipid fatty acid (PLFA) biomarkers found in the soil samples.

description: A table listing the identified phospholipid fatty acid (PLFA) biomarkers found in the soil samples.
DOI: 10.6084/m9.figshare.3529049.v1
title: Appendix A. A table listing the identified phospholipid fatty acid (PLFA) biomarkers found in the soil samples.

description: A table listing the identified phospholipid fatty acid (PLFA) biomarkers found in the soil samples.
DOI: 10.6084/m9.figshare.3529046
title: Appendix A. A figure showing glucosinolate concentration per area (mmol/m2) for canopy thirds of Brassica nigra and B. kaber.

description: A figure showing glucosinolate concentration per area (mmol/m2) for canopy thirds of Brassica nigra and B. kaber.
DOI: 10.6084/m9.figshare.3529046.v1
title: Appendix A. A figure showing glucosinolate concentration per area (mmol/m2) for canopy thirds of Brassica nigra and B. kaber.

description: A figure showing glucosinolate concentration per area (mmol/m2) for canopy thirds of Brassica nigra and B. kaber.
DOI: 10.6084/m9.figshare.3529043
title: Appendix B. Scatterplots of glucosinolate concentration per area (mmol/m2) against tissue value and nitrogen per area.

description: Scatterplots of glucosinolate concentration per area (mmol/m2) against tissue value and nitrogen per area.