cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.cnhsg8
title: Occurrence Download

description: A dataset containing 3898 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Euphoria basalis",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3898 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028481-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9b4ufe
title: Occurrence Download

description: A dataset containing 1706 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Senecio lautus"
 ]
}

 The dataset includes 1706 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028482-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.27273
title: Research dataset on adaptation relationship and spatio-temporal interaction between public cultural service supply and people's well-being in the Yangtze River Delta Urban Agglomeration
title: 长三角城市群公共文化服务供给与民生福祉的适配关系及时空交互研究数据集

description: This dataset covers the spatio-temporal evolution, adaptation relationship, and spatio-temporal interaction characteristics of public cultural service supply and people's well-being in the Yangtze River Delta Urban Agglomeration from 2012 to 2022. The spatial scope includes 26 prefecture level and above cities in the Yangtze River Delta urban agglomeration. The main sources of data are the China Urban Statistical Yearbook, China Urban Construction Statistical Yearbook, and statistical yearbooks of all cities. The dataset mainly contains three types of data: (1) Public cultural service supply index and livelihood well-being index; (2) the overall and multidimensional adaptation degree of public cultural service supply and people's well-being; (3) LISA coordinates of the adaptation degree of public cultural service supply and people's well-being in Moran scatter plot. 
description: This dataset covers the spatio-temporal evolution, adaptation relationship, and spatio-temporal interaction characteristics of public cultural service supply and people's well-being in the Yangtze River Delta Urban Agglomeration from 2012 to 2022. The spatial scope includes 26 prefecture level and above cities in the Yangtze River Delta urban agglomeration. The main sources of data are the China Urban Statistical Yearbook, China Urban Construction Statistical Yearbook, and statistical yearbooks of all cities. The dataset mainly contains three types of data: (1) Public cultural service supply index and livelihood well-being index; (2) the overall and multidimensional adaptation degree of public cultural service supply and people's well-being; (3) LISA coordinates of the adaptation degree of public cultural service supply and people's well-being in Moran scatter plot.
DOI: 10.57760/sciencedb.27182
title: Forecasting the Global and Regional Burden of Severe Periodontitis (2020-2025) using WHO Global Oral Health Status Report (2022) Data and ARIMA Models
title: Forecasting the Global and Regional Burden of Severe Periodontitis (2020-2025) using WHO Global Oral Health Status Report (2022) Data and ARIMA Models

description: Purpose: This dataset provides age-standardized prevalence and case data for severe periodontitis among individuals aged 15 years and older, along with a time series analysis and a forecast of the global and regional burden of the disease from 2020 to 2025.Methods: Data were extracted from the WHO Global Oral Health Status Report (2022), covering the period from 1990 to 2019. The dataset is stratified by World Bank income groups and WHO regions. The analysis was performed using autoregressive integrated moving average (ARIMA) models, and future case numbers were estimated by applying prevalence forecasts to United Nations population projections.Findings: The analysis reveals a significant global burden of severe periodontitis, which is projected to increase from a global prevalence of 19.0% (~1.216 billion cases) in 2019 to 19.8% (~1.36 billion cases) by 2025. The data highlights a disproportionately higher burden in lower-middle-income countries, which are forecasted to reach 498 million cases (21.7% prevalence) by 2025. The dataset can be used by public health professionals and policymakers to inform resource allocation and strategy development for managing and preventing periodontal disease.
description: Purpose: This dataset provides age-standardized prevalence and case data for severe periodontitis among individuals aged 15 years and older, along with a time series analysis and a forecast of the global and regional burden of the disease from 2020 to 2025.Methods: Data were extracted from the WHO Global Oral Health Status Report (2022), covering the period from 1990 to 2019. The dataset is stratified by World Bank income groups and WHO regions. The analysis was performed using autoregressive integrated moving average (ARIMA) models, and future case numbers were estimated by applying prevalence forecasts to United Nations population projections.Findings: The analysis reveals a significant global burden of severe periodontitis, which is projected to increase from a global prevalence of 19.0% (~1.216 billion cases) in 2019 to 19.8% (~1.36 billion cases) by 2025. The data highlights a disproportionately higher burden in lower-middle-income countries, which are forecasted to reach 498 million cases (21.7% prevalence) by 2025. The dataset can be used by public health professionals and policymakers to inform resource allocation and strategy development for managing and preventing periodontal disease.
DOI: 10.57760/sciencedb.27270
title: rFSS-II Anonymous dataset
title: rFSS-II匿名数据集

description: The data used to support the rFSS-II paper was de-identified to protect patient privacy.
description: The data used to support the rFSS-II paper was de-identified to protect patient privacy.
DOI: 10.26193/5s8llb
title: Victoria: Trials on indictment for bigamy 1855-1942
title: Victorian Supreme Court

description: Trials on indictment for offence of bigamy, Victorian Supreme Court 1855-1942.
description: This dataset was prepared to assist training in data analysis on the Tinker platform (https://tinker.edu.au/). Users should note that the csv data file covers nineteenth and twentieth century dates. The dates are formatted to a standard that cannot be readily processed by some spreadsheet programs like Excel - it is advisable to open the csv file using a csv editor or a standard analysis program like SPSS to preserve the dates in a consistent format.
DOI: 10.26193/bjcve0
title: Tasmanian Supreme Court 1824-1849
title: Trials on indictment

description: Trials on indictment at Tasmanian Supreme Court from 1824-1849. The data was sourced by the Prosecution Project principally from court registers and record books held at Tasmanian Archives and Heritage Office, and data collection was by Chris Leppard-Quinn. Later curation of the records has included checking against Trove (https://trove.nla.gov.au/) database of digitised newspapers as well as some secondary sources. This dataset includes for most cases url links to the original records available online at TAHO.
description: Data is incomplete for some years in the 1830s owing to loss of records or original failure to complete registers. Errors may occur in the original source or in transcription. Users should conduct their own verification checks as required by their project. These datasets are provided principally for the purpose of quantitative analysis, but may serve as a platform for more detailed archive inquiry into particular cases or sub-groups.
description: The data was collected by manual transcription from court registers and record books, with some data also added from newspaper reports and some secondary sources
description: The data was sourced principally from court registers and record books held at Tasmanian Archives and Heritage Office (TAHO), and data collection was by Chris Leppard-Quinn. Later curation of the records has included checking against Trove (https://trove.nla.gov.au/) database of digitised newspapers as well as some secondary sources. This dataset includes for most cases url links to the original records available online at TAHO. Data includes name, sex, offence, verdict, sentence, trial judge, trial date, trial location and url links to original sources in TAHO and some url links to newspaper reports from Trove (https://trove.nla.gov.au/).
DOI: 10.15468/dl.ebmdtm
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sechium edule",
 "Country is Croatia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028484-250827131500795/datasets/export for details.
DOI: 10.15468/dl.xfqdna
title: Occurrence Download

description: A dataset containing 12106 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "TaxonKey is Scutigeromorpha"
 ]
}

 The dataset includes 12106 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028483-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k7gv4t
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhodosoma turcicum",
 "Country is Brazil",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028487-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.byd6v7
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Stachyris humei",
 "Country is one of (Myanmar, Thailand, Lao People’s Democratic Republic, Cambodia, Viet Nam, Malaysia)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028485-250827131500795/datasets/export for details.
DOI: 10.15468/dl.4swdy5
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhodosoma turcicum",
 "Country is Lebanon",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028486-250827131500795/datasets/export for details.
DOI: 10.15468/dl.pane4m
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sechium edule",
 "Country is Cuba",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028489-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14873519
title: Supplement to "Lifestyle-associated variation in type IV secretion systems between phytopathogenic and environmental Ralstonia"

description: Supplemental Table S1 lists details of the RSSC phytopathogen, non-RSSC environmental, and Burkholderiaceae family genomes used in this study. Supplemental Table S2A is the final list of 503 VirB4 sequences collectively identified in 644 RSSC phytopathogen genomes and 143 non-RSSC environmental genomes. Supplemental Table S2B includes the annotations and NCBI accessions for every gene and protein sequence in reference clusters a-p. Supplemental Table S2C is the list of putative T4SS cargo genes identified in complete Ralstonia genomes. Supplemental Table S2D is the list of putative T4SS cargo genes identified in cluster i regions from draft and complete Ralstonia genomes.

Supplemental File S1 is the multiple sequence alignment (MSA) input for HMMER, made from the 753 VirB4 protein sequences from the Burkholderiaceae family genomes. Supplemental Files S2 and S3 are the species trees displaying the presence of T4SS gene clusters in RSSC phytopathogens and non-RSSC environmentals, respectively. Supplemental File S4 is the species tree displaying the presence of RSp0179 and RSp1521 in the Ralstonia genus. Supplemental File S5 is the MSA input for FastTree 2, made from the VirB4 protein sequences from Ralstonia genomes. Supplemental Files S6-S9 are various formats of the VirB4 protein tree in Figure 1. Supplemental Files S10-S25 are the GBK files for reference clusters a-p. Supplemental File S26 is the clinker output comparing the reference clusters. Supplemental Files S27-S36 are the clinker outputs comparing the putative regions of transfer of T4SSs in complete Ralstonia genomes. Supplemental File S37 is the clustered ANI matrix for the putative regions of transfer of cluster i T4SSs in draft and complete Ralstonia genomes. Supplemental File S38 is the clinker output comparing the cluster i regions in draft and complete Ralstonia genomes.

This study’s newly sequenced genomes, Gazipur 4 and Gazipur 5, are available on NCBI with the following accessions: GCF_049860735.1 and GCF_049860725.1, respectively. The two contigs containing the cluster j T4SS were submitted to NCBI through the Third Party Annotation (TPA) section of the DDBJ/ENA/GenBank databases with the following accessions: BK072068-BK072069. These contigs were assembled from SRA reads under the accession: SRR18649448.
DOI: 10.15468/dl.jjyexz
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sechium edule",
 "Country is Guatemala",
 "HasCoordinate is true"
 ]
}

 The dataset includes 17 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028490-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yygwf2
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Serratula arvensis"
 ]
}

 The dataset includes 22 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028491-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jh5a3q
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Arborophila crudigularis",
 "Country is China",
 "HasCoordinate is true"
 ]
}

 The dataset includes 13 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028494-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2gqrvq
title: Occurrence Download

description: A dataset containing 15744 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Cylindropuntia leptocaulis"
 ]
}

 The dataset includes 15744 records from 103 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028492-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21979/n9/otnawv
title: Replication Data for: New insights into the structural heterogeneity and geodynamics of the Indo-Burma subduction zone from ambient noise tomography

description: Ambient Noise Cross-correlation and Shear Wave Velocity Model
DOI: 10.15468/dl.933t7h
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sechium edule",
 "Country is India",
 "HasCoordinate is true"
 ]
}

 The dataset includes 12 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028493-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4qtcfg
title: Occurrence Download

description: A dataset containing 269 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Euphoria biguttata",
 "HasCoordinate is true"
 ]
}

 The dataset includes 269 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028495-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26193/u3zzgy
title: Northern Territory Criminal Trials 1873-1899

description: Northern Territory Supreme Court trials. During this period the court was in South Australian jurisdiction. This dataset was accessed by the Prosecution Project from data in historical newspapers (https://trove.nla.gov.au/)
description: The source for almost all cases in this dataset may be accessed directly through the 'trove' urls in each record.
description: The sources are unofficial records, published in contemporary newspapers on basis of reports by journalists attending hearings. Data errors in these sources are common including with respect to name, offence, verdict and sentence. The accession of this dataset included checking where possible against more than one source to limit such errors.
DOI: 10.6084/m9.figshare.30015769
title: AI-based Education in Geography in Tanzania

description: It introduces a pilot project conducted in Zanzibar, Tanzania, exploring the integration of Artificial Intelligence (AI) into traditional geography education. As Africa confronts challenges in educational resources and teacher shortages, innovative technologies like AI—the convergence of AI and Geographic Information Science (GIS)—offer a transformative solution. This project aimed to develop and implement an AI-powered teaching module to supplement the existing geography curriculum for secondary school students. This paper outlines the methodology, including the development of localized AI tools and the training of teachers and students. While the full results are forthcoming, initial observations suggest that integrating AI significantly enhances student engagement, improves spatial thinking skills, and provides teachers with powerful new tools for instruction. The discussion addresses the opportunities and challenges of scaling such initiatives across the African continent, emphasizing the potential for AI to bridge educational gaps and prepare the next generation for a data-driven world.
DOI: 10.6084/m9.figshare.30015769.v1
title: Interview Audio

description: This paper introduces a pilot project conducted in Zanzibar, Tanzania, exploring the integration of Artificial Intelligence (AI) into traditional geography education. As Africa confronts challenges in educational resources and teacher shortages, innovative technologies like AI—the convergence of AI and Geographic Information Science (GIS)—offer a transformative solution. This project aimed to develop and implement an AI-powered teaching module to supplement the existing geography curriculum for secondary school students. This paper outlines the methodology, including the development of localized AI tools and the training of teachers and students. While the full results are forthcoming, initial observations suggest that integrating AI significantly enhances student engagement, improves spatial thinking skills, and provides teachers with powerful new tools for instruction. The discussion addresses the opportunities and challenges of scaling such initiatives across the African continent, emphasizing the potential for AI to bridge educational gaps and prepare the next generation for a data-driven world.
DOI: 10.6084/m9.figshare.30015769.v2
title: AI-based Education in Geography in Tanzania

description: It introduces a pilot project conducted in Zanzibar, Tanzania, exploring the integration of Artificial Intelligence (AI) into traditional geography education. As Africa confronts challenges in educational resources and teacher shortages, innovative technologies like AI—the convergence of AI and Geographic Information Science (GIS)—offer a transformative solution. This project aimed to develop and implement an AI-powered teaching module to supplement the existing geography curriculum for secondary school students. This paper outlines the methodology, including the development of localized AI tools and the training of teachers and students. While the full results are forthcoming, initial observations suggest that integrating AI significantly enhances student engagement, improves spatial thinking skills, and provides teachers with powerful new tools for instruction. The discussion addresses the opportunities and challenges of scaling such initiatives across the African continent, emphasizing the potential for AI to bridge educational gaps and prepare the next generation for a data-driven world.
DOI: 10.15468/dl.wcavne
title: Occurrence Download

description: A dataset containing 196 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ecteinascidia turbinata",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 196 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028496-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21979/n9/jankp9
title: Replication Data for: The geometry of the subducted slab beneath Sumatra revealed by regional and teleseismic traveltime tomography

description: Seismic data used in Liu et al. (2020). The geometry of the subducted slab beneath Sumatra revealed by regional and teleseismic traveltime tomography
DOI: 10.26193/zmfuod
title: Inter-gender murder in NSW, 1901–1955

description: This research file includes data accessed from Prosecution Project records as part of a study of the prosecution and sentencing of inter-gender murder (male on female, and female on male) in NSW 1901-1955. The original records have been supplemented with more attributes including context of event, as well as biographical data for both defendants and victims. The research was directed by Carolyn Strange.
description: More information about the main data sources in the Prosecution Project is available at the project web-site (https://prosecutionproject.griffith.edu.au/).
description: The court data for the most part documents the full name of defendant, charge, plea, verdict, sentence and other outcome including appeals, as well as name of judge presiding at trial; other data in the file includes textual description of the homicide event, including location and use of weapons, as well as information about victim and defendant including age, sex and relationships between them.
description: The data is a composite of trial court records documented in a register maintained by the Supreme Court of NSW and other data primarily sourced from newspaper reports
description: The dataset is published to support further inquiry as well as to enable verification of the published research.
DOI: 10.15468/dl.a4vvm4
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sechium edule",
 "Country is Niue",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028501-250827131500795/datasets/export for details.