cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.29867181
title: Inference for Dispersion and Curvature of Random Objects

description: There are many open questions pertaining to the statistical analysis of random objects, which are increasingly encountered. A major challenge is the absence of linear operations in such spaces. A basic statistical task is to quantify statistical dispersion or spread. For two measures of dispersion for data objects in geodesic metric spaces, Fréchet variance and metric variance, we derive a central limit theorem (CLT) for their joint distribution. This analysis reveals that the Alexandrov curvature of the geodesic space determines the relationship between these two dispersion measures. This suggests a novel test for inferring the curvature of a space based on the asymptotic distribution of the dispersion measures. We demonstrate how this test can be employed to detect the intrinsic curvature of an unknown underlying space, which emerges as a joint property of the space and the underlying probability measure that generates the random objects. We investigate the asymptotic properties of the test and its finite-sample behavior for various data types, including distributional data and point cloud data. We illustrate the proposed inference for intrinsic curvature of random objects using gait synchronization data represented as symmetric positive definite matrices and energy compositional data on the sphere. Supplementary materials for this article are available online, including a standardized description of the materials available for reproducing the work.
DOI: 10.6084/m9.figshare.29867181.v1
title: Inference for Dispersion and Curvature of Random Objects

description: There are many open questions pertaining to the statistical analysis of random objects, which are increasingly encountered. A major challenge is the absence of linear operations in such spaces. A basic statistical task is to quantify statistical dispersion or spread. For two measures of dispersion for data objects in geodesic metric spaces, Fréchet variance and metric variance, we derive a central limit theorem (CLT) for their joint distribution. This analysis reveals that the Alexandrov curvature of the geodesic space determines the relationship between these two dispersion measures. This suggests a novel test for inferring the curvature of a space based on the asymptotic distribution of the dispersion measures. We demonstrate how this test can be employed to detect the intrinsic curvature of an unknown underlying space, which emerges as a joint property of the space and the underlying probability measure that generates the random objects. We investigate the asymptotic properties of the test and its finite-sample behavior for various data types, including distributional data and point cloud data. We illustrate the proposed inference for intrinsic curvature of random objects using gait synchronization data represented as symmetric positive definite matrices and energy compositional data on the sphere. Supplementary materials for this article are available online, including a standardized description of the materials available for reproducing the work.
DOI: 10.5281/zenodo.17478201
title: Excess Mortality and Live Births across 40 European Countries during COVID-19 (2020–2022): A P-Score and Panel Analysis

description: Dataset 1 – Mortality (mortality_real.xlsx)

This dataset contains monthly data on all-cause mortality for 40 European countries during the period 2020–2022, harmonized to allow cross-national comparison of excess mortality during the COVID-19 pandemic.Each observation represents a country–month combination. The key variable is the P-score, defined as the percentage deviation of observed deaths from the average deaths in the baseline period (2015–2019).The dataset was compiled primarily from Eurostat’s weekly mortality database (demo_r_mweek3) and, when necessary, supplemented by the Human Mortality Database (STMF).Variables include:

country: ISO-3 code of the country

year and month: time identifiers

p_score: monthly excess mortality (%)

deaths_obs: observed number of deaths

deaths_exp: expected (baseline) deathsThis file enables analysis of temporal and cross-country patterns of excess mortality across Europe.

Dataset 2 – Live births (newborn_real.xlsx)

This dataset contains monthly data on live births for the same 40 European countries, covering the period 2018–2022 to capture both pre-pandemic and pandemic fertility trends.Each observation represents a country–month combination.The data were obtained from Eurostat’s monthly births database (demo_f_01) and complemented with data from national statistical offices where necessary.Variables include:

country: ISO-3 code of the country

year and month: time identifiers

live_births: number of live births per month

index_2019: relative index (2019 = 100), used for standardized comparison across time and countriesThis file allows exploration of fertility dynamics before, during, and after the main phases of the COVID-19 pandemic.
DOI: 10.5281/zenodo.17478202
title: Excess Mortality and Live Births across 40 European Countries during COVID-19 (2020–2022): A P-Score and Panel Analysis

description: Dataset 1 – Mortality (mortality_real.xlsx)

This dataset contains monthly data on all-cause mortality for 40 European countries during the period 2020–2022, harmonized to allow cross-national comparison of excess mortality during the COVID-19 pandemic.Each observation represents a country–month combination. The key variable is the P-score, defined as the percentage deviation of observed deaths from the average deaths in the baseline period (2015–2019).The dataset was compiled primarily from Eurostat’s weekly mortality database (demo_r_mweek3) and, when necessary, supplemented by the Human Mortality Database (STMF).Variables include:

country: ISO-3 code of the country

year and month: time identifiers

p_score: monthly excess mortality (%)

deaths_obs: observed number of deaths

deaths_exp: expected (baseline) deathsThis file enables analysis of temporal and cross-country patterns of excess mortality across Europe.

Dataset 2 – Live births (newborn_real.xlsx)

This dataset contains monthly data on live births for the same 40 European countries, covering the period 2018–2022 to capture both pre-pandemic and pandemic fertility trends.Each observation represents a country–month combination.The data were obtained from Eurostat’s monthly births database (demo_f_01) and complemented with data from national statistical offices where necessary.Variables include:

country: ISO-3 code of the country

year and month: time identifiers

live_births: number of live births per month

index_2019: relative index (2019 = 100), used for standardized comparison across time and countriesThis file allows exploration of fertility dynamics before, during, and after the main phases of the COVID-19 pandemic.
DOI: 10.5281/zenodo.17478267
title: Where Is the Automation Discourse Heading? Exploring Evolution and Trends of RPA Research Through Topic Modeling

description: Description of the Dataset

The dataset consists of two Excel files: data.xlsx and RPA_LDA_RESULTS_(k=100).xlsx. A description of each file is provided below.

Excel File: data.xlsxThis file provides a comprehensive resource for bibliometric and topic modeling analyses. It includes multiple sheets containing Scopus bibliographic data, topic distributions, and derived metrics, enabling detailed exploration of thematic structures and trends within scholarly publications.





Data from ScopusThis sheet contains bibliographic metadata exported from Scopus, designed for use in Latent Dirichlet Allocation (LDA) analyses. Key fields include authors, abstracts, publication years, and other relevant publication information. Additionally, each paper is annotated with manually or algorithmically assigned categories and topics, supporting thematic classification and subsequent analysis.




Figures 8A and 9AThis sheet provides a detailed table of all identified topics, including associated terms, total paper counts, and citation counts per topic. These data correspond to visualizations presented in the appendix of the related publication, offering insight into topic prevalence and impact.




Calculation of Combined ScoreHere, topics are ranked according to a calculated combined score, which reflects their relative importance or influence within the dataset. The scoring integrates multiple metrics, allowing for prioritization of key topics for deeper investigation.



Excel File: RPA_LDA_RESULTS_(k=100).xlsx

This file contains the results of an LDA analysis with 100 topics, organized into two sheets:





top_100_terms_in_each_topic – Lists the top 100 most representative terms for each topic, facilitating interpretation of thematic content.




probabilities_with_each_topic – Provides the topic probabilities for all 3,275 documents across the 100 topics, enabling exploration of topic distributions at the document level.



Stopwords for LDA analysis are in the file stopwords.txt
DOI: 10.15468/dl.6dker6
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is one of (Paraguay, Argentina)",
 "OccurrenceStatus is Present",
 "TaxonKey is Megachile rotundata (Fabricius, 1787)"
 ]
}

 The dataset includes 19 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005423-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jhndf9
title: Occurrence Download

description: A dataset containing 832 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Schizachyrium platyphyllum (Franch.) Stapf",
 "Continent is Africa"
 ]
}

 The dataset includes 832 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005425-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.thxsm4
title: Occurrence Download

description: A dataset containing 732 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "Issue is Geodetic datum assumed WGS84",
 "TaxonKey is Procyon lotor (Linnaeus, 1758)"
 ]
}

 The dataset includes 732 records from 63 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005424-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9muzzq
title: Occurrence Download

description: A dataset containing 2139 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Canada",
 "DatasetKey is iNaturalist Research-grade Observations",
 "Geometry POLYGON((-123.18431 49.68313,-123.12418 49.68237,-123.12092 49.73207,-123.17992 49.73325,-123.18431 49.68313))",
 "HasGeospatialIssue is false",
 "Month is one of (March, April, May, June, July, August)"
 ]
}

 The dataset includes 2139 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026073-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.96mzub
title: Occurrence Download

description: A dataset containing 2033 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Vulpes macrotis Merriam, 1888"
 ]
}

 The dataset includes 2033 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0276789-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.porlkw
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002306-171219132708484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.1mmehp
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009016-160623103540712/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.42vgws
title: Occurrence Download

description: A dataset containing 119998121 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 119998121 records from 6182 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027598-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6xpgxx
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((71.60190799999999 24.455859, 71.524767 24.450282, 71.449546 24.43369, 71.378114 24.406495, 71.31224400000001 24.369373, 71.253567 24.323248, 71.203531 24.269262, 71.163364 24.208755, 71.134047 24.143224, 71.116286 24.074289, 71.110501 24.003651, 71.116816 23.933052, 71.13505499999999 23.864227, 71.16475199999999 23.798867, 71.205162 23.738576, 71.25528199999999 23.68483, 71.313875 23.638943, 71.379501 23.602037, 71.450554 23.575014, 71.52529699999999 23.558531, 71.60190799999999 23.552992, 71.67851899999999 23.558531, 71.75326200000001 23.575014, 71.824315 23.602037, 71.88994099999999 23.638943, 71.948534 23.68483, 71.998654 23.738576, 72.039064 23.798867, 72.06876099999999 23.864227, 72.087 23.933052, 72.093315 24.003651, 72.08753 24.074289, 72.06976899999999 24.143224, 72.040452 24.208755, 72.00028500000001 24.269262, 71.950249 24.323248, 71.891572 24.369373, 71.82570200000001 24.406495, 71.75427000000001 24.43369, 71.67904900000001 24.450282, 71.60190799999999 24.455859))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082176-251120083545085/datasets/export for details.
DOI: 10.15468/dl.fvsags
title: Occurrence Download

description: A dataset containing 384311 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Vespa velutina"
 ]
}

 The dataset includes 384311 records from 883 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082143-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dgdwej
title: Occurrence Download

description: A dataset containing 8 records in GBIF matching the query:
SELECT
 countrycode,
 COUNT(*) total_registros
FROM
 occurrence
WHERE
 occurrence.species = 'Amazona aestiva'
 AND occurrence.countrycode IN ('AR', 'BO', 'BR', 'CL', 'CO', 'EC', 'GF', 'GY', 'PE', 'PY', 'SR', 'UY', 'VE', 'MX', 'GT', 'BZ', 'CR', 'SV', 'HN', 'NI', 'PA', 'CU', 'DO', 'HT', 'JM', 'TT', 'BB', 'GD', 'LC', 'VC', 'AG', 'DM', 'KN')
 AND occurrence.hascoordinate = TRUE
 AND (occurrence.hasgeospatialissues = FALSE OR occurrence.hasgeospatialissues IS NULL)
GROUP BY
 occurrence.countrycode
ORDER BY
 total_registros DESC

 The dataset's 8 records were derived from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082168-251120083545085/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.30877619
title: Supplementary File 1

description: Clinical Applications of Cardiovascular Magnetic Resonance at 7-Tesla: A Systematic Review
DOI: 10.6084/m9.figshare.30877619.v4
title: Supplementary File 1

description: Clinical Applications of Cardiovascular Magnetic Resonance at 7-Tesla: A Systematic Review
DOI: 10.15468/dl.75aweb
title: Occurrence Download

description: A dataset containing 1 records in GBIF matching the query:
SELECT
 COUNT(*) total_registros
FROM
 occurrence
WHERE
 occurrence.countrycode = 'CL'
 AND occurrence."year" &gt;= 2022
 AND (occurrence.iucnredlistcategory IN ('CR', 'EN', 'VU', 'NT') OR occurrence.establishmentmeans.concept = 'NATIVE')

 The dataset's 1 records were derived from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082166-251120083545085/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.30877619.v3
title: Supplementary File 1

description: Clinical Applications of Cardiovascular Magnetic Resonance at 7-Tesla: A Systematic Review
DOI: 10.3886/e242713
title: DQS Death rates for malignant neoplasms, by sex, race, Hispanic origin, and age: United States

description: Data on death rates for neoplasms in the United States, by age, sex, race, and Hispanic origin. Data are from Health, United States. SOURCE: National Center for Health Statistics, National Vital Statistics System, Mortality File.
Search, visualize, and download these and other estimates from a wide range of health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.
Read less
description: (Downloaded 1/7/2026)
DOI: 10.3886/e242713v1
title: DQS Death rates for malignant neoplasms, by sex, race, Hispanic origin, and age: United States

description: Data on death rates for neoplasms in the United States, by age, sex, race, and Hispanic origin. Data are from Health, United States. SOURCE: National Center for Health Statistics, National Vital Statistics System, Mortality File.
Search, visualize, and download these and other estimates from a wide range of health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.
Read less
description: (Downloaded 1/7/2026)
DOI: 10.15468/dl.7r3rvj
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((71.599923 24.661433, 71.522657 24.655856, 71.44731299999999 24.639263, 71.375765 24.612068, 71.309788 24.574947, 71.251017 24.528821, 71.200902 24.474836, 71.16067200000001 24.414329, 71.131309 24.348799, 71.113522 24.279866, 71.107731 24.20923, 71.114058 24.138632, 71.132329 24.06981, 71.162075 24.004453, 71.202551 23.944164, 71.252751 23.89042, 71.311437 23.844536, 71.377167 23.807633, 71.44833199999999 23.78061, 71.52319199999999 23.764129, 71.599923 23.75859, 71.676654 23.764129, 71.751514 23.78061, 71.82267899999999 23.807633, 71.888409 23.844536, 71.947095 23.89042, 71.99729499999999 23.944164, 72.03777100000001 24.004453, 72.067517 24.06981, 72.08578799999999 24.138632, 72.09211500000001 24.20923, 72.086324 24.279866, 72.06853700000001 24.348799, 72.039174 24.414329, 71.99894399999999 24.474836, 71.948829 24.528821, 71.890058 24.574947, 71.82408100000001 24.612068, 71.752533 24.639263, 71.677189 24.655856, 71.599923 24.661433))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082178-251120083545085/datasets/export for details.
DOI: 10.15468/dl.wqqug6
title: Occurrence Download

description: A dataset containing 29345 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Herminium monorchis"
 ]
}

 The dataset includes 29345 records from 345 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082177-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/8zedfy
title: Rhododendron mulunense (Ericaceae), a new species from the karst mountains of Guangxi and Guizhou provinces, China

description: This dataset contains the digitized treatments in Plazi based on the original journal article Hou, Ying, Huang, Yu-Song, Luo, Liu-Juan, Chen, Zheng-Ren, Mao, Xing-Xing (2026): Rhododendron mulunense (Ericaceae), a new species from the karst mountains of Guangxi and Guizhou provinces, China. PhytoKeys 269: 99-112, DOI: 10.3897/phytokeys.269.175011AbstractRhododendron mulunense, a new species of Rhododendron (Ericaceae) within subsect. Maddenia in sect. Rhododendron and endemic to karst areas of Guangxi and Guizhou Province, SW China, is described and illustrated. The new species most closely resembles R. wumingense, particularly in scale density on the abaxial leaf surface and in flower color and shape, but can be readily distinguished by its hairless shoots and leaves, larger tubular-funneled corolla, and longer and thinner white tube flushed with pink. According to the IUCN Red List Categories and Criteria, the threatened status of the new species is assessed as “ Endangered, EN C 2 a (i), D. ” We provide detailed documentation of its morphological characteristics, geographical distribution, digitized holotype voucher, and comparative photographs, along with a diagnostic table. An identification key is provided as a primary tool to enable taxonomic discrimination of this species from its congeners.
DOI: 10.15468/dl.69mzt6
title: Occurrence Download

description: A dataset containing 191 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Hardwickia binata"
 ]
}

 The dataset includes 191 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082180-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rq5haa
title: Occurrence Download

description: A dataset containing 31625 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Occurrence evidence)",
 "Geometry POLYGON((-122.83458 49.25318,-122.76605 49.25341,-122.76657 49.2963,-122.83407 49.2963,-122.83458 49.25318))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2000-2026"
 ]
}

 The dataset includes 31625 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082179-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.