cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.26531023
title: Additional file 1 of Single-cell transcriptomic analysis reveals a decrease in the frequency of macrophage-RGS1high subsets in patients with osteoarticular tuberculosis

description: Additional file 1: Figure 1 Imaging diagnosis results of the three patients in the first cohort. Figure 2 H&E staining and CD68 immunohistochemistry results of the OTB lesion tissue from (A) Patient 1, (B) Patient 2, and (C) Patient 3 in the first cohort. Figure 3 Quality control of single-cell sequencing data. Figure 4. Novel markers for macrophages/monocytes, T cells, and B cells and their clustering. Figure 5 Novel markers for specific myeloid cell subtypes and their clustering. Figure 6 B cell clusters in OTB PTs and ATs in the first cohort. Table 1. Detailed information of samples collected for scRNA-Seq analyses in the study. Table 2. Clinical characteristics of included participants in the second cohort. Table 3. Cell number and gene median statistics. Methods
DOI: 10.15468/dl.d8gw6a
title: Occurrence Download

description: A dataset containing 68577 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Porzana porzana (Linnaeus, 1766)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2011",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 68577 records from 233 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059294-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25403/upresearchdata.29715311
title: Factors influencing household vulnerability to poverty in informal settlements of a metropolitan municipality

description: This dataset and accompanying analysis explore household vulnerability to poverty in the informal settlements of the City of Tshwane Metropolitan Municipality (Pretoria), South Africa—specifically Atteridgeville, Nellmapius, and Olievenhoutbosch. Vulnerability refers to the risk of falling into poverty due to various socio-economic and environmental factors, even when a household is not currently impoverished. Primary data were collected from 366 households through stratified random sampling using a structured questionnaire. Analysis was conducted using the Statistical Package for the Social Sciences (SPSS), while the Foster-Greer-Thorbecke (FGT) poverty measure was used to assess the relationship between household income and vulnerability. A modified Poisson regression model was applied to identify key determinants associated with increased or reduced vulnerability.Key findings include:Positive associations with vulnerability were found for: having more children under five, being unemployed and not actively seeking work, being a household breadwinner, exposure to sinkholes, and frequent electricity interruptions.Negative associations were observed for: larger household size and having a household member who completed matric (secondary school).Non-significant factors included gender, age, marital status, house ownership, access to healthcare, social grants, agricultural support, and social networks.The study provides evidence to inform targeted policy interventions aimed at reducing vulnerability to poverty in urban informal settlements in South Africa.
DOI: 10.25403/upresearchdata.29715311.v1
title: Factors influencing household vulnerability to poverty in informal settlements of a metropolitan municipality

description: This dataset and accompanying analysis explore household vulnerability to poverty in the informal settlements of the City of Tshwane Metropolitan Municipality (Pretoria), South Africa—specifically Atteridgeville, Nellmapius, and Olievenhoutbosch. Vulnerability refers to the risk of falling into poverty due to various socio-economic and environmental factors, even when a household is not currently impoverished. Primary data were collected from 366 households through stratified random sampling using a structured questionnaire. Analysis was conducted using the Statistical Package for the Social Sciences (SPSS), while the Foster-Greer-Thorbecke (FGT) poverty measure was used to assess the relationship between household income and vulnerability. A modified Poisson regression model was applied to identify key determinants associated with increased or reduced vulnerability.Key findings include:Positive associations with vulnerability were found for: having more children under five, being unemployed and not actively seeking work, being a household breadwinner, exposure to sinkholes, and frequent electricity interruptions.Negative associations were observed for: larger household size and having a household member who completed matric (secondary school).Non-significant factors included gender, age, marital status, house ownership, access to healthcare, social grants, agricultural support, and social networks.The study provides evidence to inform targeted policy interventions aimed at reducing vulnerability to poverty in urban informal settlements in South Africa.
DOI: 10.5281/zenodo.17201890
title: Experimental microscopic images and signal traces for figures from the manuscript

description: Experimental data and images related to the publication:

Obořilová, R., Kučerová, E., Botka, T. et al. Piezoelectric biosensor with dissipation monitoring enables the analysis of bacterial lytic agent activity. Sci Rep 15, 3419 (2025).

https://doi.org/10.1038/s41598-024-85064-x
DOI: 10.5281/zenodo.17201891
title: Experimental microscopic images and signal traces for figures from the manuscript

description: Experimental data and images related to the publication:

Obořilová, R., Kučerová, E., Botka, T. et al. Piezoelectric biosensor with dissipation monitoring enables the analysis of bacterial lytic agent activity. Sci Rep 15, 3419 (2025).

https://doi.org/10.1038/s41598-024-85064-x
DOI: 10.13140/rg.2.2.17222.95044
title: Conceptualisation of Archive and records management and reimagining its relevance within public sector inparticular within municipal context
DOI: 10.15468/dl.pn9z78
title: Occurrence Download

description: A dataset containing 1180 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Continent is North America",
 "TaxonKey is Theba pisana"
 ]
}

 The dataset includes 1180 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015982-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8yjkkf
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tiarella cordifolia",
 "Country is Norway",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015983-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/p1jwccxf
title: Data from a Systematic Literature Review of Forecasting and Predictive Models for Harmful Algal Blooms in Flowing Waters

description: This data release contains data and supporting information from a systematic literature review of predictive and forecasting models of Harmful Algal Blooms (HABs) in flowing waters, primarily rivers but also in-stream reservoirs (e.g., run-of-river reservoir and lock-and-dams) and tidal or estuarine environments where unidirectional flow dominates. The systematic literature review began with queries from multiple scientific publication databases, followed by a three-level screening process, and finally information extraction by the authors of this data release. We included only those models that make predictions beyond the calibration datasets in time or space or are utilized for sensitivity or scenario analysis. We excluded purely empirical studies. We required that the modeling effort was motivated by a desire to understand and predict HABs in flowing waters and we did not limit our review to only cyanobacteria or specific modeling endpoints. To extract information from each article, we created a form that each reviewer used when critically reviewing one of the resulting 162 articles. We extracted information about environmental setting, modeling data, model types, and model application. Most questions on the form provided multiple-choice answers or write-in options. The main dataset (review_data.csv) contains information extracted from 162 reviewed articles. Columns in review_data.csv correspond to questions from the form, with additional columns added after critical reviews that include location information (i.e., country and continent), provide aggregated versions of some multiple-choice answers, or harmonize the write-in answers to simplified and standard phrases. The column names are abbreviated character strings for ease of data processing. The additional dataset in this data release, response_definitions.csv, contains the definitions of these column names. Each row in response_definitions.csv describes the responses to a given question on the form, or a description of the extracted information if the question did not use multiple-choice answers.
DOI: 10.15468/dl.scnxxk
title: Occurrence Download

description: A dataset containing 7885 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Myotis escalerai)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 7885 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015984-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w9gpda
title: Occurrence Download

description: A dataset containing 8803670 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen, Observation, Machine Observation, Material citation, Fossil, Living Specimen, Occurrence evidence, Material sample)",
 "Country is China",
 "OccurrenceStatus is Present",
 "Year 1960-2025"
 ]
}

 The dataset includes 8803670 records from 4347 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015918-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0178682.10fu
title: SH0178682.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.5281/zenodo.18199899
title: Print and digital reading habits and comprehension in children with and without special education needs.

description: Dataset of 2289 Spanish students from fourth to sixth grade, from which 212 had an official decision of SEN. Students self-reported their reading frequency (as a measure of their reading habits) and completed a standardized text comprehension test.
DOI: 10.15156/bio/sh0178683.10fu
title: SH0178683.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.5281/zenodo.18199898
title: Print and digital reading habits and comprehension in children with and without special education needs.

description: Dataset of 2289 Spanish students from fourth to sixth grade, from which 212 had an official decision of SEN. Students self-reported their reading frequency (as a measure of their reading habits) and completed a standardized text comprehension test.
DOI: 10.15156/bio/sh0178684.10fu
title: SH0178684.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0178685.10fu
title: SH0178685.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0178686.10fu
title: SH0178686.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0178687.10fu
title: SH0178687.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15468/dl.ke7z3y
title: Occurrence Download

description: A dataset containing 1350 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eriocaulon sexangulare L."
 ]
}

 The dataset includes 1350 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006630-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fmhykt
title: Occurrence Download

description: A dataset containing 25062 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is one of (CR, EN, VU)",
 "OccurrenceStatus is Present",
 "TaxonKey is Primates",
 "Year 1000-2024"
 ]
}

 The dataset includes 25062 records from 84 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006631-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ttyyen
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eriocaulon tuberiferum A.R.Kulk. & Desai"
 ]
}

 The dataset includes 5 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006632-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8hsdwh
title: Occurrence Download

description: A dataset containing 87 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eriocaulon nantoense Hayata"
 ]
}

 The dataset includes 87 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006633-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7ur5yq
title: Occurrence Download

description: A dataset containing 48 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eriocaulon schochianum Hand.-Mazz."
 ]
}

 The dataset includes 48 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006634-241107131044228/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.27645486.v1
title: Supplementary Material for: Is poor self-rated health associated with higher caries experience in adults? The HUNT4 Oral Health Study

description: Introduction: The association between lower socioeconomic status and a higher risk of dental caries is well established, but the independent association between general health status and dental caries on a population level is less investigated. The aim of this study was to assess the association between self-rated general health and caries experience in an adult Norwegian population and to assess if the associations were modified by age and sex. 
Methods: Data was collected as part of the Trøndelag Health Study (HUNT4) conducted 2017-2019 and a randomly selected subsample (20%) were invited for the HUNT4 Oral Health Study. This cross-sectional study included 4,880 dentate participants aged 19-94 years (response rate 67%). Participants underwent clinical and radiographic oral examinations and caries experience was measured by numbers of decayed (DT), missing (MT), and filled teeth (FT), DMFT index. The DT component consisted of primary and secondary caries in dentine, cavitated root caries and remaining roots. Questionnaires were used to assess self-rated general health and socioeconomic position, denoted by education, household income and employment status. Associations between self-rated health and caries experience (DMFT) and components (DT, MT, and FT) were assessed using negative binomial regression models. Ratios of means (RMs) with 95% confidence intervals (CI) for the associations were estimated, adjusting for socioeconomic position.
Results: Individuals with poor self-rated general health had a 29% higher mean number of MT (RM 1.29 (95%CI 1.13-1.46)), a 22% higher mean number of DT (RM 1.22 (95%CI 1.07-1.39)), and a 7% higher mean number of DMFT (RM 1.07 (95%CI 1.04-1.11)) than individuals reporting very good health. Age stratified analyses presented a more pronounced association between self-rated health and caries experience for individuals below the age of 55 years than for those 55 years or older. Similarly, the association was more evident for women, with significantly higher mean values for DMFT, MT and FT among women reporting poor health. 
Conclusions: The present study demonstrated an independent association between poor self-rated health and a higher burden of caries experience, adjusted for education, income and employment status. The association was stronger for women and individuals below the age of 55 years. These findings add new evidence in understanding caries inequalities through self-rated health.
DOI: 10.15468/dl.nyptqc
title: Occurrence Download

description: A dataset containing 99 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eriocaulon sollyanum Royle"
 ]
}

 The dataset includes 99 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006635-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.