cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.3563289.v1
title: Appendix D. Histograms of C/N ratio by mass for the three groups of rockfish in our study.

description: Histograms of C/N ratio by mass for the three groups of rockfish in our study.
DOI: 10.6084/m9.figshare.3563286
title: Appendix A. Habitat specific CPUE of perch, stable isotopic data of end-members and consumers, and uncertainty in calculations of allochthony of consumers.

description: Habitat specific CPUE of perch, stable isotopic data of end-members and consumers, and uncertainty in calculations of allochthony of consumers.
DOI: 10.6084/m9.figshare.3563286.v1
title: Appendix A. Habitat specific CPUE of perch, stable isotopic data of end-members and consumers, and uncertainty in calculations of allochthony of consumers.

description: Habitat specific CPUE of perch, stable isotopic data of end-members and consumers, and uncertainty in calculations of allochthony of consumers.
DOI: 10.6084/m9.figshare.3563283
title: Appendix A. Table references and natural history of sticky plants.

description: Table references and natural history of sticky plants.
DOI: 10.6084/m9.figshare.3563280
title: Appendix B. Entrapped insect data.

description: Entrapped insect data.
DOI: 10.6084/m9.figshare.3563283.v1
title: Appendix A. Table references and natural history of sticky plants.

description: Table references and natural history of sticky plants.
DOI: 10.6084/m9.figshare.3563280.v1
title: Appendix B. Entrapped insect data.

description: Entrapped insect data.
DOI: 10.6084/m9.figshare.3563277
title: Appendix C. Seed set in experimental plants.

description: Seed set in experimental plants.
DOI: 10.6084/m9.figshare.3563277.v1
title: Appendix C. Seed set in experimental plants.

description: Seed set in experimental plants.
DOI: 10.6084/m9.figshare.3563274
title: Appendix D. Predator and carrion numbers in a natural population.

description: Predator and carrion numbers in a natural population.
DOI: 10.6084/m9.figshare.3563274.v1
title: Appendix D. Predator and carrion numbers in a natural population.

description: Predator and carrion numbers in a natural population.
DOI: 10.6084/m9.figshare.3563271
title: Appendix E. Exudate removal experiment.

description: Exudate removal experiment.
DOI: 10.6084/m9.figshare.3563271.v1
title: Appendix E. Exudate removal experiment.

description: Exudate removal experiment.
DOI: 10.6084/m9.figshare.3563268
title: Appendix A. Structure, composition, mortality rates, and statistical tests for individual plots.

description: Structure, composition, mortality rates, and statistical tests for individual plots.
DOI: 10.6084/m9.figshare.3563268.v1
title: Appendix A. Structure, composition, mortality rates, and statistical tests for individual plots.

description: Structure, composition, mortality rates, and statistical tests for individual plots.
DOI: 10.6084/m9.figshare.3563265
title: Appendix A. Detailed description of archipelago-wide census methods and count error and southern sea lion (Otaria flavescens) breeding colonies at the Falkland Islands.

description: Detailed description of archipelago-wide census methods and count error and southern sea lion (Otaria flavescens) breeding colonies at the Falkland Islands.
DOI: 10.6084/m9.figshare.3563265.v1
title: Appendix A. Detailed description of archipelago-wide census methods and count error and southern sea lion (Otaria flavescens) breeding colonies at the Falkland Islands.

description: Detailed description of archipelago-wide census methods and count error and southern sea lion (Otaria flavescens) breeding colonies at the Falkland Islands.
DOI: 10.6084/m9.figshare.3563262
title: Appendix B. Detailed description of life history stages and resulting stage-class population matrix for the female component of the 1930s Falkland Islands southern sea lion (Otaria flavescens) population and a hypothetical Argentinean population. Also presented is the effect of commercial sealing on population size trajectories (females only) from the population model simulation.

description: Detailed description of life history stages and resulting stage-class population matrix for the female component of the 1930s Falkland Islands southern sea lion (Otaria flavescens) population and a hypothetical Argentinean population. Also presented is the effect of commercial sealing on population size trajectories (females only) from the population model simulation.
DOI: 10.6084/m9.figshare.3563262.v1
title: Appendix B. Detailed description of life history stages and resulting stage-class population matrix for the female component of the 1930s Falkland Islands southern sea lion (Otaria flavescens) population and a hypothetical Argentinean population. Also presented is the effect of commercial sealing on population size trajectories (females only) from the population model simulation.

description: Detailed description of life history stages and resulting stage-class population matrix for the female component of the 1930s Falkland Islands southern sea lion (Otaria flavescens) population and a hypothetical Argentinean population. Also presented is the effect of commercial sealing on population size trajectories (females only) from the population model simulation.
DOI: 10.6084/m9.figshare.3563259
title: Appendix C. Details of winter mean sea surface temperatures and sea surface temperature anomalies as a function of time at the Falkland Islands.

description: Details of winter mean sea surface temperatures and sea surface temperature anomalies as a function of time at the Falkland Islands.
DOI: 10.6084/m9.figshare.3563256
title: Appendix A. Model diagnostics for Bayesian logistic regression to estimate the influence of abiotic, biotic, and anthropogenic factors influencing rates of dispersal (straying) in 19 stream-type Chinook salmon populations produced in hatcheries of the Columbia River basin.

description: Model diagnostics for Bayesian logistic regression to estimate the influence of abiotic, biotic, and anthropogenic factors influencing rates of dispersal (straying) in 19 stream-type Chinook salmon populations produced in hatcheries of the Columbia River basin.
DOI: 10.6084/m9.figshare.3563256.v1
title: Appendix A. Model diagnostics for Bayesian logistic regression to estimate the influence of abiotic, biotic, and anthropogenic factors influencing rates of dispersal (straying) in 19 stream-type Chinook salmon populations produced in hatcheries of the Columbia River basin.

description: Model diagnostics for Bayesian logistic regression to estimate the influence of abiotic, biotic, and anthropogenic factors influencing rates of dispersal (straying) in 19 stream-type Chinook salmon populations produced in hatcheries of the Columbia River basin.
DOI: 10.6084/m9.figshare.3563253
title: Appendix A. Distribution of species richness and phylogenetic diversity values.

description: Distribution of species richness and phylogenetic diversity values.
DOI: 10.6084/m9.figshare.3563253.v1
title: Appendix A. Distribution of species richness and phylogenetic diversity values.

description: Distribution of species richness and phylogenetic diversity values.
DOI: 10.6084/m9.figshare.3563250
title: Appendix B. Details on the grain and extant of the study.

description: Details on the grain and extant of the study.
DOI: 10.6084/m9.figshare.3563250.v1
title: Appendix B. Details on the grain and extant of the study.

description: Details on the grain and extant of the study.
DOI: 10.6084/m9.figshare.3563247
title: Appendix C. Alternative statistical models list and fitting procedure.

description: Alternative statistical models list and fitting procedure.
DOI: 10.6084/m9.figshare.3563247.v1
title: Appendix C. Alternative statistical models list and fitting procedure.

description: Alternative statistical models list and fitting procedure.
DOI: 10.6084/m9.figshare.3563244
title: Appendix D. Congruence between analytical and null model approach.

description: Congruence between analytical and null model approach.
DOI: 10.6084/m9.figshare.3563241
title: Appendix E. The biogeographic species pool model: illustration of the clusters.

description: The biogeographic species pool model: illustration of the clusters.
DOI: 10.6084/m9.figshare.3563241.v1
title: Appendix E. The biogeographic species pool model: illustration of the clusters.

description: The biogeographic species pool model: illustration of the clusters.
DOI: 10.6084/m9.figshare.3563238
title: Appendix F. Results from the multi-model fits.

description: Results from the multi-model fits.
DOI: 10.6084/m9.figshare.3563238.v1
title: Appendix F. Results from the multi-model fits.

description: Results from the multi-model fits.
DOI: 10.6084/m9.figshare.3563235
title: Appendix G. Power model parameters for observed median SARs and PDARs.

description: Power model parameters for observed median SARs and PDARs.
DOI: 10.6084/m9.figshare.3563235.v1
title: Appendix G. Power model parameters for observed median SARs and PDARs.

description: Power model parameters for observed median SARs and PDARs.
DOI: 10.6084/m9.figshare.3563232
title: Appendix H. Null C and Z values under the continental null model.

description: Null C and Z values under the continental null model.
DOI: 10.6084/m9.figshare.3563232.v1
title: Appendix H. Null C and Z values under the continental null model.

description: Null C and Z values under the continental null model.
DOI: 10.6084/m9.figshare.3563229
title: Appendix I. Null and observed Median absolute deviation (MAD) of PDARs.

description: Null and observed Median absolute deviation (MAD) of PDARs.
DOI: 10.6084/m9.figshare.3563229.v1
title: Appendix I. Null and observed Median absolute deviation (MAD) of PDARs.

description: Null and observed Median absolute deviation (MAD) of PDARs.
DOI: 10.6084/m9.figshare.3563226
title: Appendix J. Detailed results of the biogeographical null models.

description: Detailed results of the biogeographical null models.
DOI: 10.6084/m9.figshare.3563226.v1
title: Appendix J. Detailed results of the biogeographical null models.

description: Detailed results of the biogeographical null models.
DOI: 10.6084/m9.figshare.3563223
title: Appendix K. Null C and Z values under the biogeographical null.

description: Null C and Z values under the biogeographical null.
DOI: 10.6084/m9.figshare.3563223.v1
title: Appendix K. Null C and Z values under the biogeographical null.

description: Null C and Z values under the biogeographical null.
DOI: 10.6084/m9.figshare.3563220
title: Appendix L. Null and observed AUCr for median PDAR/SAR.

description: Null and observed AUCr for median PDAR/SAR.
DOI: 10.6084/m9.figshare.3563220.v1
title: Appendix L. Null and observed AUCr for median PDAR/SAR.

description: Null and observed AUCr for median PDAR/SAR.
DOI: 10.6084/m9.figshare.3563217
title: Appendix A. References used for data collection.

description: References used for data collection.
DOI: 10.6084/m9.figshare.3563214
title: Appendix B. The relationship between the extracted standard deviation and the corresponding extracted means of soil organic carbon.

description: The relationship between the extracted standard deviation and the corresponding extracted means of soil organic carbon.
DOI: 10.6084/m9.figshare.3563214.v1
title: Appendix B. The relationship between the extracted standard deviation and the corresponding extracted means of soil organic carbon.

description: The relationship between the extracted standard deviation and the corresponding extracted means of soil organic carbon.
DOI: 10.6084/m9.figshare.3563211
title: Appendix C. The relationship between individual effect sizes (i.e., the log response ratio lnR) and the experiment duration.

description: The relationship between individual effect sizes (i.e., the log response ratio lnR) and the experiment duration.
DOI: 10.6084/m9.figshare.3563211.v1
title: Appendix C. The relationship between individual effect sizes (i.e., the log response ratio lnR) and the experiment duration.

description: The relationship between individual effect sizes (i.e., the log response ratio lnR) and the experiment duration.
DOI: 10.6084/m9.figshare.3563208
title: Supplement 1. Raw data used in this study, and results of data assimilation and meta-analysis for each individual experiment comparison.

description: File List Raw_data_used_in_this_study.csv (MD5: e2a93cfe0c48b33985437a3b2cb98967) Results_of_data_assimilation_and_meta-analysis.csv (MD5: 163dd255d6115031018f8bae30ebe7cd) Description “ref” – reference for data set. “ecotype” – ecosystem type. “soildw” – soil dry weight used for incubation. “socsoc” – soil organic carbon content (%). “inic” – initial soil organic carbon amount at the start of the experiment. “subdwdw” – dry weight of added substrate. “subcc” – carbon amount in the added substrate. “crate” – carbon input rate (i.e., subcc/inic) “SoilDerivedCO2” – soil-derived CO<sub>2</sub>-C emissions. “SD” – standard deviation of the observations.
DOI: 10.6084/m9.figshare.3563208.v1
title: Supplement 1. Raw data used in this study, and results of data assimilation and meta-analysis for each individual experiment comparison.

description: File List Raw_data_used_in_this_study.csv (MD5: e2a93cfe0c48b33985437a3b2cb98967) Results_of_data_assimilation_and_meta-analysis.csv (MD5: 163dd255d6115031018f8bae30ebe7cd) Description “ref” – reference for data set. “ecotype” – ecosystem type. “soildw” – soil dry weight used for incubation. “socsoc” – soil organic carbon content (%). “inic” – initial soil organic carbon amount at the start of the experiment. “subdwdw” – dry weight of added substrate. “subcc” – carbon amount in the added substrate. “crate” – carbon input rate (i.e., subcc/inic) “SoilDerivedCO2” – soil-derived CO<sub>2</sub>-C emissions. “SD” – standard deviation of the observations.
DOI: 10.6084/m9.figshare.3563205
title: Appendix A. Relationship between whitefish spawning phenology and water temperature isotherms.

description: Relationship between whitefish spawning phenology and water temperature isotherms.
DOI: 10.6084/m9.figshare.3563205.v1
title: Appendix A. Relationship between whitefish spawning phenology and water temperature isotherms.

description: Relationship between whitefish spawning phenology and water temperature isotherms.
DOI: 10.6084/m9.figshare.3563202
title: Appendix B. Additional methods: calculation of heat fluxes.

description: Additional methods: calculation of heat fluxes.
DOI: 10.6084/m9.figshare.3563202.v1
title: Appendix B. Additional methods: calculation of heat fluxes.

description: Additional methods: calculation of heat fluxes.
DOI: 10.6084/m9.figshare.3563199
title: Appendix C. Change of average heat fluxes in the time period between the algal onset and Daphnia maximum with seasonally constant warming.

description: Change of average heat fluxes in the time period between the algal onset and Daphnia maximum with seasonally constant warming.
DOI: 10.6084/m9.figshare.3563199.v1
title: Appendix C. Change of average heat fluxes in the time period between the algal onset and Daphnia maximum with seasonally constant warming.

description: Change of average heat fluxes in the time period between the algal onset and Daphnia maximum with seasonally constant warming.
DOI: 10.48328/tudatalib-1220
title: Analyzing Dataset Annotation Quality Management in the Wild

description: This is the accompanying data for the paper "Analyzing Dataset Annotation Quality Management in the Wild". Data quality is crucial for training accurate, unbiased, and trustworthy machine learning models and their correct evaluation. Recent works, however, have shown that even popular datasets used to train and evaluate state-of-the-art models contain a non-negligible amount of erroneous annotations, bias or annotation artifacts. There exist best practices and guidelines regarding annotation projects. But to the best of our knowledge, no large-scale analysis has been performed as of yet on how quality management is actually conducted when creating natural language datasets and whether these recommendations are followed. Therefore, we first survey and summarize recommended quality management practices for dataset creation as described in the literature and provide suggestions on how to apply them. Then, we compile a corpus of 591 scientific publications introducing text datasets and annotate it for quality-related aspects, such as annotator management, agreement, adjudication or data validation. Using these annotations, we then analyze how quality management is conducted in practice. We find that a majority of the annotated publications apply good or very good quality management. However, we deem the effort of 30% of the works as only subpar. Our analysis also shows common errors, especially with using inter-annotator agreement and computing annotation error rates.
DOI: 10.24432/c54907
title: ho
DOI: 10.6084/m9.figshare.24103638
title: immune_O_maya

description: Codes and data to replicate "Evidence of the oxygen capacity-dependent thermal tolerance hypothesis regulating immunocompetence of a wild population of coastal octopus"
DOI: 10.6084/m9.figshare.24103638.v1
title: immune_O_maya

description: Codes and data to replicate "Evidence of the oxygen capacity-dependent thermal tolerance hypothesis regulating immunocompetence of a wild population of coastal octopus"
DOI: 10.5517/ccdc.csd.cc2f1nz4
title: CCDC 2235936: Experimental Crystal Structure Determination

description: Related Article: Isaac M. Blythe, Jingtong Xu, Joaquin S. Fernandez Odell, Jeff W. Kampf, Miriam A. Bowring, Melanie S. Sanford|2023|J.Am.Chem.Soc.|145|18253|doi:10.1021/jacs.3c00914
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2f7k08
title: CCDC 2241579: Experimental Crystal Structure Determination

description: Related Article: Yang Liu, Linghong Zhang, Yong Zhang, Shanshan Cao, Xu Ban, Yanli Yin, Xiaowei Zhao, Zhiyong Jiang|2023|J.Am.Chem.Soc.|145|18307|doi:10.1021/jacs.3c03732
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.24103647
title: Práctica de la comunicación científica en alumnos ayudantes de la Facultad de Ciencias Médicas “Victoria de Girón” (DATASET)

description: <strong>Introduction:</strong> The study of scientific communication in student teachers is of great interest in terms of the main forms they use for this purpose: publication in student scientific journals and participation in scientific events. <strong>Objective:</strong> To characterize the practice of scientific communication in student teachers of <em>Facultad de Ciencias Médicas “Victoria de Girón”</em>. <strong>Method:</strong> An observational, descriptive and cross-sectional study was conducted in the aforementioned faculty in Havana. From a population of 198 subjects, a sample of 131 students was formed by means of a stratified probabilistic sampling. The data were processed using descriptive statistics. The Fisher-Freeman-Halton exact test was used. <strong>Results:</strong> 87% of the student teachers reported having participated in student scientific meetings; 16.8% reported having scientific publications. Both variables were statistically significantly associated (<em>p</em> &lt; 0.05) with factors related to seniority in the Frank País Student Teachers’ Movement, membership in the student scientific group, and incorporation into a research project. The more senior the students were, the higher the average number of papers presented at scientific conferences, and the more frequently they participated in all types of written reports. This was not the case with publications. <strong>Conclusions:</strong> The practice of scientific communication in teacher students of <em>Facultad de Ciencias Médicas “Victoria de Girón”</em> is characterized by a remarkable presentation of research results in scientific meetings, but a scarce publication of these.
DOI: 10.6084/m9.figshare.24103647.v1
title: Práctica de la comunicación científica en alumnos ayudantes de la Facultad de Ciencias Médicas “Victoria de Girón” (DATASET)

description: <strong>Introduction:</strong> The study of scientific communication in student teachers is of great interest in terms of the main forms they use for this purpose: publication in student scientific journals and participation in scientific events. <strong>Objective:</strong> To characterize the practice of scientific communication in student teachers of <em>Facultad de Ciencias Médicas “Victoria de Girón”</em>. <strong>Method:</strong> An observational, descriptive and cross-sectional study was conducted in the aforementioned faculty in Havana. From a population of 198 subjects, a sample of 131 students was formed by means of a stratified probabilistic sampling. The data were processed using descriptive statistics. The Fisher-Freeman-Halton exact test was used. <strong>Results:</strong> 87% of the student teachers reported having participated in student scientific meetings; 16.8% reported having scientific publications. Both variables were statistically significantly associated (<em>p</em> &lt; 0.05) with factors related to seniority in the Frank País Student Teachers’ Movement, membership in the student scientific group, and incorporation into a research project. The more senior the students were, the higher the average number of papers presented at scientific conferences, and the more frequently they participated in all types of written reports. This was not the case with publications. <strong>Conclusions:</strong> The practice of scientific communication in teacher students of <em>Facultad de Ciencias Médicas “Victoria de Girón”</em> is characterized by a remarkable presentation of research results in scientific meetings, but a scarce publication of these.
DOI: 10.5517/ccdc.csd.cc2f1ny3
title: CCDC 2235935: Experimental Crystal Structure Determination

description: Related Article: Isaac M. Blythe, Jingtong Xu, Joaquin S. Fernandez Odell, Jeff W. Kampf, Miriam A. Bowring, Melanie S. Sanford|2023|J.Am.Chem.Soc.|145|18253|doi:10.1021/jacs.3c00914
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2fkmsf
title: CCDC 2251275: Experimental Crystal Structure Determination

description: Related Article: Casandra M. Moisanu, Robert M. Jacobberger, Luke P. Skala, Charlotte L. Stern, Michael R. Wasielewski, William R. Dichtel|2023|J.Am.Chem.Soc.|145|18447|doi:10.1021/jacs.3c04786
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.