cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17613/2g8fv-mqr19
title: Old Norwegian vowel harmony data: unfiltered/non-annotated

description: 13th-century Old Norwegian vowel harmony data (unfiltered, without phonological annotations). For details, see Sandstedt, Jade. Feature specifications and contrast in vowel harmony: The orthography and phonology of Old Norwegian height harmony. University of Edinburgh PhD thesis.
DOI: 10.17613/zfm4-bd30
title: Old Norwegian vowel harmony data: unfiltered/non-annotated

description: 13th-century Old Norwegian vowel harmony data (unfiltered, without phonological annotations). For details, see Sandstedt, Jade. Feature specifications and contrast in vowel harmony: The orthography and phonology of Old Norwegian height harmony. University of Edinburgh PhD thesis.
DOI: 10.17613/gj6n-js33
title: Old Norwegian vowel harmony data (filtered and annotated)

description: 13th-century Old Norwegian vowel harmony data -- filtered and phonologically-annotated for the corpus' 600 most common lexemes. For details, see:

 Sandstedt, Jade. Feature specifications and contrast in vowel harmony: The orthography and phonology of Old Norwegian height harmony. University of Edinburgh PhD thesis.
description: 13th-century Old Norwegian vowel harmony data -- filtered and phonologically-annotated for the corpus' 600 most common lexemes. For details, see: Sandstedt, Jade. Feature specifications and contrast in vowel harmony: The orthography and phonology of Old Norwegian height harmony. University of Edinburgh PhD thesis.
DOI: 10.17613/j3wvn-1ey03
title: Old Norwegian vowel harmony data (filtered and annotated)

description: 13th-century Old Norwegian vowel harmony data -- filtered and phonologically-annotated for the corpus' 600 most common lexemes. For details, see:

 Sandstedt, Jade. Feature specifications and contrast in vowel harmony: The orthography and phonology of Old Norwegian height harmony. University of Edinburgh PhD thesis.
description: 13th-century Old Norwegian vowel harmony data -- filtered and phonologically-annotated for the corpus' 600 most common lexemes. For details, see: Sandstedt, Jade. Feature specifications and contrast in vowel harmony: The orthography and phonology of Old Norwegian height harmony. University of Edinburgh PhD thesis.
DOI: 10.15468/dl.eyrqd9
title: Occurrence Download

description: A dataset containing 55593 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Faxonius limosus (Rafinesque, 1817)"
 ]
}

 The dataset includes 55593 records from 368 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020508-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.27068342
title: Bootstrap Inference for Linear Time-Varying Coefficient Models in Locally Stationary Time Series

description: Time-varying coefficient models can capture evolving relationships. However, constructing asymptotic confidence bands for coefficient curves in these models is challenging due to slow convergence rates and the presence of various nuisance parameters. A residual-based sieve bootstrap method has recently been proposed to address these issues. While it successfully produces confidence bands with accurate empirical coverage, its applicability is restricted to strictly stationary processes. We introduce a new bootstrap scheme, the local blockwise wild bootstrap (LBWB), that allows for locally stationary processes. The LBWB can replicate the distribution of the parameter estimates while automatically accounting for nuisance parameters. An extensive simulation study reveals the superior performance of the LBWB compared to various benchmark approaches. It also shows the potential applicability of the LBWB in broader scenarios, including time-varying cointegrating models. We then examine herding effects in the Chinese renewable energy market using the proposed methods. Our findings strongly support the presence of herding behaviors before 2016, aligning with earlier studies. However, contrary to previous research, we find no significant evidence of herding between around 2018 and 2021. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.27122533
title: A Latent Space Model for Weighted Keyword Co-Occurrence Networks with Applications in Knowledge Discovery in Statistics

description: Keywords are widely recognized as pivotal in conveying the central idea of academic articles. In this article, we construct a weighted and dynamic keyword co-occurrence network and propose a latent space model for analyzing it. Our model has two special characteristics. First, it is applicable to weighted networks; however, most previous models were primarily designed for unweighted networks. Simply replacing the frequency of keyword co-occurrence with binary values would result in a significant loss of information. Second, our model can handle the situation where network nodes evolve over time, and assess the effect of new nodes on network connectivity. We use the projected gradient descent algorithm to estimate the latent positions and establish the theoretical properties of the estimators. In the real data application, we study the keyword co-occurrence network within the field of statistics. We identify popular keywords over the whole period as well as within each time period. For keyword pairs, our model provides a new way to assess the association between them. Finally, we observe that the interest of statisticians in emerging research areas has gradually grown in recent years. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.27068342.v2
title: Bootstrap Inference for Linear Time-Varying Coefficient Models in Locally Stationary Time Series

description: Time-varying coefficient models can capture evolving relationships. However, constructing asymptotic confidence bands for coefficient curves in these models is challenging due to slow convergence rates and the presence of various nuisance parameters. A residual-based sieve bootstrap method has recently been proposed to address these issues. While it successfully produces confidence bands with accurate empirical coverage, its applicability is restricted to strictly stationary processes. We introduce a new bootstrap scheme, the local blockwise wild bootstrap (LBWB), that allows for locally stationary processes. The LBWB can replicate the distribution of the parameter estimates while automatically accounting for nuisance parameters. An extensive simulation study reveals the superior performance of the LBWB compared to various benchmark approaches. It also shows the potential applicability of the LBWB in broader scenarios, including time-varying cointegrating models. We then examine herding effects in the Chinese renewable energy market using the proposed methods. Our findings strongly support the presence of herding behaviors before 2016, aligning with earlier studies. However, contrary to previous research, we find no significant evidence of herding between around 2018 and 2021. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.27122533.v2
title: A Latent Space Model for Weighted Keyword Co-Occurrence Networks with Applications in Knowledge Discovery in Statistics

description: Keywords are widely recognized as pivotal in conveying the central idea of academic articles. In this article, we construct a weighted and dynamic keyword co-occurrence network and propose a latent space model for analyzing it. Our model has two special characteristics. First, it is applicable to weighted networks; however, most previous models were primarily designed for unweighted networks. Simply replacing the frequency of keyword co-occurrence with binary values would result in a significant loss of information. Second, our model can handle the situation where network nodes evolve over time, and assess the effect of new nodes on network connectivity. We use the projected gradient descent algorithm to estimate the latent positions and establish the theoretical properties of the estimators. In the real data application, we study the keyword co-occurrence network within the field of statistics. We identify popular keywords over the whole period as well as within each time period. For keyword pairs, our model provides a new way to assess the association between them. Finally, we observe that the interest of statisticians in emerging research areas has gradually grown in recent years. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.27068342.v1
title: Bootstrap inference for linear time-varying coefficient models in locally stationary time series

description: Time-varying coefficient models can capture evolving relationships. However, constructing asymptotic confidence bands for coefficient curves in these models is challenging due to slow convergence rates and the presence of various nuisance parameters. A residual-based sieve bootstrap method has recently been proposed to address these issues. While it successfully produces confidence bands with accurate empirical coverage, its applicability is restricted to strictly stationary processes. We introduce a new bootstrap scheme, the local blockwise wild bootstrap (LBWB), that allows for locally stationary processes. The LBWB can replicate the distribution of the parameter estimates while automatically accounting for nuisance parameters. An extensive simulation study reveals the superior performance of the LBWB compared to various benchmark approaches. It also shows the potential applicability of the LBWB in broader scenarios, including time-varying cointegrating models. We then examine herding effects in the Chinese renewable energy market using the proposed methods. Our findings strongly support the presence of herding behaviors before 2016, aligning with earlier studies. However, contrary to previous research, we find no significant evidence of herding between around 2018 and 2021. Online supplementary materials are available for this article.
DOI: 10.6084/m9.figshare.27122533.v1
title: A Latent Space Model for Weighted Keyword Co-occurrence Networks with Applications in Knowledge Discovery in Statistics

description: <b>Keywords</b> are widely recognized as pivotal in conveying the central idea of academic articles. In this article, we construct a weighted and dynamic <b>keyword</b> co-occurrence network and propose a latent space model for analyzing it. Our model has two special characteristics. First, it is applicable to weighted networks however, most previous models were primarily designed for unweighted networks. Simply replacing the frequency of <b>keyword</b> co-occurrence with binary values would result in a significant loss of information. Second, our model can handle the situation where network nodes evolve over time, and assess the effect of new nodes on network connectivity. We utilize the projected gradient descent algorithm to estimate the latent positions and establish the theoretical properties of the estimators. In the real data application, we study the <b>keyword</b> co-occurrence network within the field of statistics. We identify popular <b>keywords</b> over the whole period as well as within each time period. For <b>keyword</b> pairs, our model provides a new way to assess the association between them. Finally, we observe that the interest of statisticians in emerging research areas has gradually grown in recent years. Supplementary materials for this article are available online
DOI: 10.15468/dl.jb8g7b
title: Occurrence Download

description: A dataset containing 856 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Fish species occurrences in the rivers of the Lake Victoria Basin Kenya, digitized from the Ichthyology specimen collection at the National Museums of Kenya"
 ]
}

 The dataset includes 856 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020512-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bfz7va
title: Occurrence Download

description: A dataset containing 2238 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-82.567 10.88986,-82.88704 11.10783,-83.78176 10.83168,-85.2296 11.01659,-85.86474 11.12153,-89.84705 8.85605,-90.68153 4.43841,-87.08221 3.10473,-82.94461 7.81276,-82.8723 8.35105,-82.86427 9.26695,-82.61521 9.41157,-82.27777 9.78114,-82.567 10.88986))",
 "TaxonKey is Sula sula (Linnaeus, 1766)",
 "Year 2013-2023"
 ]
}

 The dataset includes 2238 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020511-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17613/7f1p-m939
title: Spell-checking "The Lord of the Rings"

description: This is a list of all the character strings in The Lord of the Rings that are flagged as misspelled by the Unix spell checker. [International Ispell Version 3.1.20 (but really Aspell 0.60.6.1)]. It includes archaic words, British spelling, words in Tolkien's invented languages, and onomatopoeia. It errs on the side of inclusion - varying cases and possessive forms are alongside the root form of the word.
DOI: 10.17613/xec2q-vdg30
title: Spell-checking "The Lord of the Rings"

description: This is a list of all the character strings in The Lord of the Rings that are flagged as misspelled by the Unix spell checker. [International Ispell Version 3.1.20 (but really Aspell 0.60.6.1)]. It includes archaic words, British spelling, words in Tolkien's invented languages, and onomatopoeia. It errs on the side of inclusion - varying cases and possessive forms are alongside the root form of the word.
DOI: 10.17613/kt94c-hvx41
title: Pronouncing Dictionary Supplement for "The Lord of the Rings"

description: A supplement to the Carnegie-Mellon Pronouncing Dictionary (http://www.speech.cs.cmu.edu/cgi-bin/cmudict) for words that occur in "The Lord of the Rings". Includes contractions, archaic words, British spellings, and words from Tolkien's invented languages.
DOI: 10.17613/vqqr-8312
title: Pronouncing Dictionary Supplement for "The Lord of the Rings"

description: A supplement to the Carnegie-Mellon Pronouncing Dictionary (http://www.speech.cs.cmu.edu/cgi-bin/cmudict) for words that occur in "The Lord of the Rings". Includes contractions, archaic words, British spellings, and words from Tolkien's invented languages.
DOI: 10.6084/m9.figshare.27139107.v1
title: Supplemental Material

description: The investigation documents cardiovascular outcomes and the autonomic nervous system in mice receiving urethane anesthesia, emphasizing sex as a biological variable, and considering oxygen supplementation during anesthesia. This is the first report of M-curve analysis in rodents as a heart rate-independent variability analysis.
DOI: 10.5281/zenodo.10719545
title: Love thy neighbour? Tropical tree growth and its response to climate anomalies is mediated by neighbourhood hierarchy and dissimilarity in carbon and water related traits

description: Data and R code to reproduce all analyses, figures and tables for Krebber et al. 2024, Ecology Letters:Love thy neighbour? Tropical tree growth and its response to climate anomalies is mediated by neighbourhood hierarchy and dissimilarity in carbon and water related traits. 

 

All analyses have been conducted and produced in the R environment (R version 4.1.2; R Core Team, 2021; RStudio Team, 2020). Bayesian hierarchical models have been run using the R package brms (Version 2.19.0; Bürkner, 2017). The data and R files containing the code to reproduce the results, figures and tables are described in the README file and code in more detailed is described in RCode_xxx files. Please note that the analyses are highly computational intensive and the scripts should be run on a high performance cluster (models and scripts running models and handeling model outputs presented here have been run with 16 cpus and with 50 - 100 GB of RAM). Packages needed are loaded at the beginning of each script. Please ensure that these and all their dependencies have been previously installed. The R code in the files has been carefully commented.
DOI: 10.5281/zenodo.10719546
title: Love thy neighbour? Tropical tree growth and its response to climate anomalies is mediated by neighbourhood hierarchy and dissimilarity in carbon and water related traits

description: Data and R code to reproduce all analyses, figures and tables of submitted manuscript Krebber et al. 2024, Ecology Letters:Love thy neighbour? Tropical tree growth and its response to climate anomalies is mediated by neighbourhood hierarchy and dissimilarity in carbon and water related traits. 

 

All analyses have been conducted and produced in the R environment (R version 4.1.2; R Core Team, 2021; RStudio Team, 2020). Bayesian hierarchical models have been run using the R package brms (Version 2.19.0; Bürkner, 2017). The data and R files containing the code to reproduce the results, figures and tables are described in the README file and code in more detailed is described in RCode_xxx files. Please note that the analyses are highly computational intensive and the scripts should be run on a high performance cluster (models and scripts running models and handeling model outputs presented here have been run with 16 cpus and with 50 - 100 GB of RAM). Packages needed are loaded at the beginning of each script. Please ensure that these and all their dependencies have been previously installed. The R code in the files has been carefully commented.
DOI: 10.5281/zenodo.10719861
title: Love thy neighbour? Tropical tree growth and its response to climate anomalies is mediated by neighbourhood hierarchy and dissimilarity in carbon and water related traits

description: Data and R code to reproduce all analyses, figures and tables for Krebber et al. 2024, Ecology Letters:Love thy neighbour? Tropical tree growth and its response to climate anomalies is mediated by neighbourhood hierarchy and dissimilarity in carbon and water related traits. 

 

All analyses have been conducted and produced in the R environment (R version 4.1.2; R Core Team, 2021; RStudio Team, 2020). Bayesian hierarchical models have been run using the R package brms (Version 2.19.0; Bürkner, 2017). The data and R files containing the code to reproduce the results, figures and tables are described in the README file and code in more detailed is described in RCode_xxx files. Please note that the analyses are highly computational intensive and the scripts should be run on a high performance cluster (models and scripts running models and handeling model outputs presented here have been run with 16 cpus and with 50 - 100 GB of RAM). Packages needed are loaded at the beginning of each script. Please ensure that these and all their dependencies have been previously installed. The R code in the files has been carefully commented.
DOI: 10.15468/dl.qkzhbd
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Masdevallia semiteres Luer & R.Escobar"
 ]
}

 The dataset includes 12 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020517-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.htufrt
title: Occurrence Download

description: A dataset containing 3734054 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-74.65841 3.72593,-75.75689 2.06269,-74.62298 0.57487,-73.3119 -0.09838,-71.36299 0.00792,-70.37082 1.67311,-70.58343 3.16,-70.79604 4.15014,-71.82364 5.24491,-73.80798 5.20962,-74.65841 3.72593))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3734054 records from 1148 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020448-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bc5sq2
title: Occurrence Download

description: A dataset containing 2065 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Sphyrapicus ruber (J.F.Gmelin, 1788)",
 "BasisOfRecord is Specimen",
 "DecimalLatitude is greater than 28",
 "DecimalLongitude is less than or equal to -102"
 ]
}

 The dataset includes 2065 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045347-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mhnb4b
title: Occurrence Download

description: A dataset containing 593 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ammospermophilus interpres (Merriam, 1890)"
 ]
}

 The dataset includes 593 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003497-150410134957023/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nuhers
title: Occurrence Download

description: A dataset containing 74 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pterobryon arbuscula Mitt.",
 "Year 1970-2023"
 ]
}

 The dataset includes 74 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035044-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vfmxsa
title: Occurrence Download

description: A dataset containing 174 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hemitriccus iohannis (E.Snethlage, 1907)"
 ]
}

 The dataset includes 174 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003497-150615163101818/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e6wtc8
title: Occurrence Download

description: A dataset containing 1503 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Peces de la cuenca alta y media del río Bita, Vichada (Colombia)"
 ]
}

 The dataset includes 1503 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045274-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9dkvg3
title: Occurrence Download

description: A dataset containing 11734 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Herbario Enrique Forero de la Universidad de la Amazonia (HUAZ)"
 ]
}

 The dataset includes 11734 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045344-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.lrnbdb
title: Occurrence Download

description: A dataset containing 131 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mesoplodon stejnegeri True, 1885"
 ]
}

 The dataset includes 131 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003497-150721130643939/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.