cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17053083
title: Prescribed burn data inventory 2020

description: This data set contains an excel workbook with several datasets pertaing to prescribed fires inventoried in 2020 in Sweden. Data was collected in the summer of 2020 in prescribed burn sites. At each site 5 m radius plots were invetoried in a grid pattern across sites, approx 1 plot per ha. In addtion transects, 50m, between plots were used to invetory deadwood. The data contains all data collected in these plot and transects, (datasets Plots, Trees_plot, Transects) as well as weather data collected before and druing the burn (weather), and coordinates to sites (coordinates). In the tab metadata explanations for codes used can be found.
DOI: 10.5281/zenodo.17053084
title: Prescribed burn data inventory 2020

description: This data set contains an excel workbook with several datasets pertaing to prescribed fires inventoried in 2020 in Sweden. Data was collected in the summer of 2020 in prescribed burn sites. At each site 5 m radius plots were invetoried in a grid pattern across sites, approx 1 plot per ha. In addtion transects, 50m, between plots were used to invetory deadwood. The data contains all data collected in these plot and transects, (datasets Plots, Trees_plot, Transects) as well as weather data collected before and druing the burn (weather), and coordinates to sites (coordinates). In the tab metadata explanations for codes used can be found.
DOI: 10.5281/zenodo.17053052
title: Deutsche Suchthilfestatistik 2024. Alle Bundesländer. Tabellenband für Typ 2: Stationäre Rehabilitationseinrichtungen. Bezugsgruppe: Beender. 33% Lauf.

description: Dieser unkommentierte Tabellenband enthält die Ergebnisse der Datenauswertung der Deutschen Suchthilfestatistik (DSHS) für das Datenjahr 2024 in stationären Rehabilitationseinrichtungen (Typ 2). Die Bezugsgruppe sind „Beender", d. h. es werden Daten zu jenen Personen berichtet, die 2024 eine Behandlung beendet haben. Im vorliegenden Auswertungslauf (Datenfilterung) werden pro Parameter ausschließlich aggregierte Einrichtungsdatensätze einbezogen, deren Anteil fehlender Werte (Missingwerte) weniger als 33 % beträgt.
DOI: 10.5281/zenodo.17053053
title: Deutsche Suchthilfestatistik 2024. Alle Bundesländer. Tabellenband für Typ 2: Stationäre Rehabilitationseinrichtungen. Bezugsgruppe: Beender. 33% Lauf.

description: Dieser unkommentierte Tabellenband enthält die Ergebnisse der Datenauswertung der Deutschen Suchthilfestatistik (DSHS) für das Datenjahr 2024 in stationären Rehabilitationseinrichtungen (Typ 2). Die Bezugsgruppe sind „Beender", d. h. es werden Daten zu jenen Personen berichtet, die 2024 eine Behandlung beendet haben. Im vorliegenden Auswertungslauf (Datenfilterung) werden pro Parameter ausschließlich aggregierte Einrichtungsdatensätze einbezogen, deren Anteil fehlender Werte (Missingwerte) weniger als 33 % beträgt.
DOI: 10.34810/data2500
title: Rotating electromechanical system dataset for condition monitoring

description: This dataset provides monitoring data from a rotating electromechanical system under controlled and faulty conditions. The system is equipped with heterogeneous sensors, including accelerometers, current and voltage transducers, and temperature sensors trough both continuous signal and thermal images, to capture its physical behavior across a range of stationary and non-stationary rotation’s speeds. Differents faults, and some of the even with different severities, were systematically introduced in components of the electromechanical drivetrain—such as misalignments, bearing defects, and mechanical looseness—to simulate degradation scenarios typically encountered in industrial settings. The resulting multivariate time series data are suitable for a variety of applications, including machine learning-based diagnostics, signal processing, and condition monitoring. The availability of multiple sensor modalities enables advanced techniques such as information fusion and multi-sensor data analysis. All experiments were carried out under variable speed conditions, introducing dynamic complexities that enhance the dataset’s realism and usefulness for robust algorithm development. Environmental factors such as noise and voltage fluctuations further increase the dataset's value for tasks involving uncertainty quantification and signal preprocessing. This paper describes the experimental setup, sensor placement, fault injection procedures, and data acquisition parameters in detail.
DOI: 10.15468/dl.yxqdu9
title: Occurrence Download

description: A dataset containing 1867 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cylindropuntia tunicata",
 "Country is Australia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1867 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025430-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tkmqmg
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025431-250827131500795/datasets/export for details.
DOI: 10.15468/dl.9yey9k
title: Occurrence Download

description: A dataset containing 339 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plectranthus laxiflorus",
 "Geometry POLYGON ((-17.62504 -34.81917, 51.13387 -34.81917, 51.13387 37.34999, -17.62504 37.34999, -17.62504 -34.81917))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 339 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025429-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c8yrtd
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cylindropuntia tunicata",
 "Country is Madagascar",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025432-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9uyxpz
title: Occurrence Download

description: A dataset containing 679 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pedicularis langsdorffii arctica"
 ]
}

 The dataset includes 679 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025433-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25403/upresearchdata.30020755
title: Datasets of artificial intelligence (AI) model responses to tax assessment questions at the university second-year level

description: The rapid rise of artificial intelligence (AI) in higher education raises questions about its role in learning and assessment, particularly in taxation, where complex calculations, problem-solving, and professional judgment are required. This study analysed how accurately AI models could respond to second-year taxation assessments at the University of Pretoria using the Revised Bloom’s Taxonomy (RBT). A mixed-method approach was applied, combining quantitative accuracy checks against memoranda with qualitative RBT analysis of cognitive processes. The results showed that AI performed well on lower-order thinking tasks but struggled with higher-order skills, with instances of irrelevant or incorrect outputs (“hallucinations”). The findings highlight AI’s potential as a supportive tool in taxation education but also its limitations in complex reasoning, underscoring the need for careful integration alongside human expertise. The names appearing on the data files are fictitious.
DOI: 10.25403/upresearchdata.30020755.v1
title: Datasets of artificial intelligence (AI) model responses to tax assessment questions at the university second-year level

description: The rapid rise of artificial intelligence (AI) in higher education raises questions about its role in learning and assessment, particularly in taxation, where complex calculations, problem-solving, and professional judgment are required. This study analysed how accurately AI models could respond to second-year taxation assessments at the University of Pretoria using the Revised Bloom’s Taxonomy (RBT). A mixed-method approach was applied, combining quantitative accuracy checks against memoranda with qualitative RBT analysis of cognitive processes. The results showed that AI performed well on lower-order thinking tasks but struggled with higher-order skills, with instances of irrelevant or incorrect outputs (“hallucinations”). The findings highlight AI’s potential as a supportive tool in taxation education but also its limitations in complex reasoning, underscoring the need for careful integration alongside human expertise. The names appearing on the data files are fictitious.
DOI: 10.15468/dl.66s6y6
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Curruca deserti",
 "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/0025436-250827131500795/datasets/export for details.
DOI: 10.15468/dl.wdy88p
title: Occurrence Download

description: A dataset containing 47 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Alsophila costularis"
 ]
}

 The dataset includes 47 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025437-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9etthn
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "ScientificName is Acartia (Acanthacartia) tonsa",
 "Continent is Europe",
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Living Specimen, Occurrence evidence)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025370-250827131500795/datasets/export for details.
DOI: 10.5281/zenodo.14995807
title: Analysis of Millet Cultivation Zones of Nepal using the Analytic Hierarchy Process, Multi Criteria Decision Making Approach, and Geospatial Techniques

description: This dataset supports the research study focused on assessing the suitability of millet cultivation zones across Nepal using geospatial tools and Multi-Criteria Decision-Making (MCDM) approaches, particularly the Analytic Hierarchy Process (AHP). It includes thematic layers (elevation, slope, soil pH, organic matter, nitrogen, land use, landform, precipitation), their reclassification based on crop requirements, and weightage calculation through AHP. The dataset comprises:





AHP pairwise comparison matrix and derived weightings




Normalized matrix and consistency ratio check




Thematic reclassified maps




Final suitability map (classified output)




Flowchart of the methodological process




Climate and edaphic requirements of millet




Data sources and acquisition formats



All layers and weights were used for weighted overlay analysis in ArcGIS to generate a composite suitability map of millet cultivation zones in Nepal.
DOI: 10.5281/zenodo.14995808
title: Analysis of Millet Cultivation Zones of Nepal using the Analytic Hierarchy Process, Multi Criteria Decision Making Approach, and Geospatial Techniques

description: This dataset supports the research study focused on assessing the suitability of millet cultivation zones across Nepal using geospatial tools and Multi-Criteria Decision-Making (MCDM) approaches, particularly the Analytic Hierarchy Process (AHP). It includes thematic layers (elevation, slope, soil pH, organic matter, nitrogen, land use, landform, precipitation), their reclassification based on crop requirements, and weightage calculation through AHP. The dataset comprises:





AHP pairwise comparison matrix and derived weightings




Normalized matrix and consistency ratio check




Thematic reclassified maps




Final suitability map (classified output)




Flowchart of the methodological process




Climate and edaphic requirements of millet




Data sources and acquisition formats



All layers and weights were used for weighted overlay analysis in ArcGIS to generate a composite suitability map of millet cultivation zones in Nepal.
DOI: 10.15468/dl.zqfnh6
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cylindropuntia tunicata",
 "Country is South Africa",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025438-250827131500795/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.29954283
title: Bimodal fitting benefits emotional responses to music following unilateral cochlear implantation

description: Investigate contributions of cochlear implants (CIs) and hearing aids (HAs) towards musical emotion in bimodal (CI and HA together) users. Bimodal implantees and normal-hearing (NH) controls were recruited from a tertiary academic centre and via community outreach. Participants listened to ten musical clips and rated on scales of valence (happiness vs. sadness) and arousal (excitement vs. calm). Primary outcome measures included <i>discrepancy</i> – difference from validated normative ratings for each stimulus – and <i>range</i> – difference between each participant’s maximum and minimum rating – of both valence and arousal. 27 bimodal implantees and 21 NH controls Compared with bimodal listening, participants experienced increased valence discrepancy with CI alone (2.07 vs. 1.86, p = 0.027) and increased arousal discrepancy with HA alone (1.84 vs. 1.60, p = 0.029). Similarly, valence range was lower in the CI-only condition (4.57 vs. 5.40, p = 0.011), and arousal range was lower via HA (4.84 vs. 5.68, p = 0.013). CI listening alone was not significantly different from HA alone for any measured outcome. Bimodal participants performed worse than NH controls. Bimodal listening has diminished emotional responses to music compared to NH controls, but is superior to HA or CI alone. Our findings support bimodal fitting to enhance musical experience.
DOI: 10.6084/m9.figshare.29954283.v2
title: Bimodal fitting benefits emotional responses to music following unilateral cochlear implantation

description: Investigate contributions of cochlear implants (CIs) and hearing aids (HAs) towards musical emotion in bimodal (CI and HA together) users. Bimodal implantees and normal-hearing (NH) controls were recruited from a tertiary academic centre and via community outreach. Participants listened to ten musical clips and rated on scales of valence (happiness vs. sadness) and arousal (excitement vs. calm). Primary outcome measures included <i>discrepancy</i> – difference from validated normative ratings for each stimulus – and <i>range</i> – difference between each participant’s maximum and minimum rating – of both valence and arousal. 27 bimodal implantees and 21 NH controls Compared with bimodal listening, participants experienced increased valence discrepancy with CI alone (2.07 vs. 1.86, p = 0.027) and increased arousal discrepancy with HA alone (1.84 vs. 1.60, p = 0.029). Similarly, valence range was lower in the CI-only condition (4.57 vs. 5.40, p = 0.011), and arousal range was lower via HA (4.84 vs. 5.68, p = 0.013). CI listening alone was not significantly different from HA alone for any measured outcome. Bimodal participants performed worse than NH controls. Bimodal listening has diminished emotional responses to music compared to NH controls, but is superior to HA or CI alone. Our findings support bimodal fitting to enhance musical experience.
DOI: 10.6084/m9.figshare.29954283.v1
title: Bimodal fitting benefits emotional responses to music following unilateral cochlear implantation

description: Investigate contributions of cochlear implants (CIs) and hearing aids (HAs) towards musical emotion in bimodal (CI and HA together) users. Bimodal implantees and normal-hearing (NH) controls were recruited from a tertiary academic centre and via community outreach. Participants listened to ten musical clips and rated on scales of valence (happiness vs. sadness) and arousal (excitement vs. calm). Primary outcome measures included <i>discrepancy</i> – difference from validated normative ratings for each stimulus – and <i>range</i> – difference between each participant’s maximum and minimum rating – of both valence and arousal. 27 bimodal implantees and 21 NH controls Compared with bimodal listening, participants experienced increased valence discrepancy with CI alone (2.07 vs. 1.86, p = 0.027) and increased arousal discrepancy with HA alone (1.84 vs. 1.60, p = 0.029). Similarly, valence range was lower in the CI-only condition (4.57 vs. 5.40, p = 0.011), and arousal range was lower via HA (4.84 vs. 5.68, p = 0.013). CI listening alone was not significantly different from HA alone for any measured outcome. Bimodal participants performed worse than NH controls. Bimodal listening has diminished emotional responses to music compared to NH controls, but is superior to HA or CI alone. Our findings support bimodal fitting to enhance musical experience.
DOI: 10.15468/dl.q59zp2
title: Occurrence Download

description: A dataset containing 2637 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is DEU.10_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Vulpes vulpes",
 "Year 2019-2024"
 ]
}

 The dataset includes 2637 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025440-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wq2vkn
title: Occurrence Download

description: A dataset containing 85 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sanguisorba minor"
 ]
}

 The dataset includes 85 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025439-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nnwqan
title: Occurrence Download

description: A dataset containing 70 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is South Africa",
 "OccurrenceStatus is Present",
 "TaxonKey is Eucalyptus grandis"
 ]
}

 The dataset includes 70 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025442-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qtcrz7
title: Occurrence Download

description: A dataset containing 54 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plectranthus melleri",
 "Geometry POLYGON ((-17.62504 -34.81917, 51.13387 -34.81917, 51.13387 37.34999, -17.62504 37.34999, -17.62504 -34.81917))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 54 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025444-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b68mdf
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Echinopsis oxygona",
 "Country is Australia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 14 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025447-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mw923t
title: Occurrence Download

description: A dataset containing 53 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Quercus robusta"
 ]
}

 The dataset includes 53 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025446-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u3ny79
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Echinopsis oxygona",
 "Country is South Africa",
 "HasCoordinate is true"
 ]
}

 The dataset includes 28 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025448-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r58yzs
title: Occurrence Download

description: A dataset containing 1437 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Calopteryx japonica",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "Year is greater than or equal to 1900",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null",
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null",
 "CatalogNumber ~PAPS5-560*"
 ]
 }
 ]
}

 The dataset includes 1437 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025449-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17009098
title: RNA-seq data supporting DEHP-induced transcriptional changes in MCF10A cells

description: This dataset contains processed RNA-seq data derived from the human mammary epithelial cell line MCF10A treated with di-2-ethylhexyl phthalate (DEHP) or vehicle control (Par).

RNA sequencing was performed externally, and differential expression analysis was conducted in-house. The dataset provided here includes normalized expression matrices and differential gene expression results in Excel format.

No raw FASTQ files are included. Instead, this dataset contains the following:





Expression matrix: normalized read counts for all detected genes




Differential expression results: log2 fold-change, p-values, and adjusted p-values comparing DEHP vs Par



The dataset allows users to reproduce downstream analyses (e.g., pathway enrichment, immune-related transcriptomic profiling) without re-processing raw sequencing data.