cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.66s2xh
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Schoenoplectus muricinux (C.B.Clarke) J.Raynal",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((35.628 -23.023,35.6007 -22.9702,35.6007 -23.165,35.628 -23.023))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042929-250525065834625/datasets/export for details.
DOI: 10.15468/dl.kxtnaw
title: Occurrence Download

description: A dataset containing 1207 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Crustáceos estomatópodos, anfípodos, isópodos y decápodos del litoral de Quintana Roo"
 ]
}

 The dataset includes 1207 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042930-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15656075
title: Quantifying the spatio-temporal patterns of heatwaves and impacts for Honduras

description: The results of the thesis: Quantifying the spatio-temporal patterns of heatwaves and impacts for Honduras.
DOI: 10.5281/zenodo.15656074
title: Quantifying the spatio-temporal patterns of heatwaves and impacts for Honduras

description: The results of the thesis: Quantifying the spatio-temporal patterns of heatwaves and impacts for Honduras.
DOI: 10.15468/dl.5jj723
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Coelastrum Naegeli",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((25.5395 -23.2724,25.1306 -24.0715,25.5395 -24.0715,25.5395 -23.2724))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042931-250525065834625/datasets/export for details.
DOI: 10.17028/rd.lboro.29314073
title: Supplementary information files for "Development and psychometric validation of the tinnitus qualities and impact questionnaire"

description: Supplementary files for article "Development and psychometric validation of the tinnitus qualities and impact questionnaire"<br><br><b>Background:</b> To develop and validate the Tinnitus Qualities and Impact Questionnaire (TQIQ), a new tool for evaluating the perceived qualities of tinnitus sound.<b>Method:</b> The study was part of two clinical trials on internet-based tinnitus interventions, using cross-sectional (<i>n</i> = 380) and pretest–posttest data (<i>n</i> = 280). Participants completed various questionnaires online, including the newly developed TQIQ and measures of tinnitus severity (Tinnitus Functional Index; TFI), anxiety (Generalized Anxiety Disorder 7; GAD-7), depression (Patient Health Questionnaire 9; PHQ-9), insomnia (Insomnia Severity Index; ISI), and health-related quality of life (EQ-5D-5L Visual Analog Scale; VAS). The psychometric properties of the TQIQ were assessed, including construct validity, internal consistency reliability, floor and ceiling effects, interpretability, and responsiveness to treatment.<b>Results:</b> Exploratory factor analysis resulted in two factors that accounted for 57% of the variance—internal and external tinnitus qualities. Overall, 92% convergent validity predictions were confirmed; TQIQ total scores strongly (≥0.6) or moderately (0.30 to 0.59) correlated with the TFI, GAD-7, PHQ-9, and ISI. The known-groups validity prediction was confirmed as individuals with an overall TFI score &gt; 50 (severe) obtained significantly higher TQIQ scores. All internal consistency reliability statistics were within the required range (Cronbach’s α &gt; 0.8). Floor and ceiling effects were negligible. ROC established clinically important cut-off scores, enhancing the interpretability of tinnitus severity classification. Finally, 89% convergent validity predictions were confirmed; TQIQ and TFI change scores were moderately correlated, indicating good responsiveness of the former to treatment.<b>Conclusions:</b> The TQIQ has adequate psychometric properties, providing a standardized measure for the assessment of characteristics of tinnitus sound in clinical practice.<br><br>©The Author(s), CC BY 4.0
DOI: 10.17028/rd.lboro.29314073.v1
title: Supplementary information files for "Development and psychometric validation of the tinnitus qualities and impact questionnaire"

description: Supplementary files for article "Development and psychometric validation of the tinnitus qualities and impact questionnaire"<br><br><b>Background:</b> To develop and validate the Tinnitus Qualities and Impact Questionnaire (TQIQ), a new tool for evaluating the perceived qualities of tinnitus sound.<b>Method:</b> The study was part of two clinical trials on internet-based tinnitus interventions, using cross-sectional (<i>n</i> = 380) and pretest–posttest data (<i>n</i> = 280). Participants completed various questionnaires online, including the newly developed TQIQ and measures of tinnitus severity (Tinnitus Functional Index; TFI), anxiety (Generalized Anxiety Disorder 7; GAD-7), depression (Patient Health Questionnaire 9; PHQ-9), insomnia (Insomnia Severity Index; ISI), and health-related quality of life (EQ-5D-5L Visual Analog Scale; VAS). The psychometric properties of the TQIQ were assessed, including construct validity, internal consistency reliability, floor and ceiling effects, interpretability, and responsiveness to treatment.<b>Results:</b> Exploratory factor analysis resulted in two factors that accounted for 57% of the variance—internal and external tinnitus qualities. Overall, 92% convergent validity predictions were confirmed; TQIQ total scores strongly (≥0.6) or moderately (0.30 to 0.59) correlated with the TFI, GAD-7, PHQ-9, and ISI. The known-groups validity prediction was confirmed as individuals with an overall TFI score &gt; 50 (severe) obtained significantly higher TQIQ scores. All internal consistency reliability statistics were within the required range (Cronbach’s α &gt; 0.8). Floor and ceiling effects were negligible. ROC established clinically important cut-off scores, enhancing the interpretability of tinnitus severity classification. Finally, 89% convergent validity predictions were confirmed; TQIQ and TFI change scores were moderately correlated, indicating good responsiveness of the former to treatment.<b>Conclusions:</b> The TQIQ has adequate psychometric properties, providing a standardized measure for the assessment of characteristics of tinnitus sound in clinical practice.<br><br>©The Author(s), CC BY 4.0
DOI: 10.5281/zenodo.14051298
title: Dataset of "Energy Distribution and Identification of the Defects in Bismuth and Antimony Sulphides Revealed by Energy - Resolved Electrochemical Impedance Spectroscopy"

description: Understanding the nature of the defects in the absorber materials, namely point defects, their formation mechanism and the contribution to the properties is essential for the photovoltaic device performance improvement. They are  one the reasons why chalcogenide-based solar cells do not yet meet expected high power conversion efficiencies. Here we identify and present energy distribution of defects in Bi2S3 and Sb2S3, and their (SbxBi(100-x))2S3 alloys (with x = 0, 10, 33, 50, 67, 90, 100 at% Sb content) chalcogenides, being explored for emerging photovoltaic applications as they are earth-abundant and highly absorbing in the visible light range. We show that their density of states (DOS) and related parameters can be obtained experimentally by energy-resolved electrochemical impedance spectroscopy (ER-EIS) in a technically simple and quick way, where ER-EIS data are well correlated with theoretical DFT calculations. ER-EIS reveals that in Bi2S3 there are only shallow defects at CBM. In Sb2S3, ER-EIS reveals also midgap states which can be the cause of low electrical conductivity of Sb2S3. We also explain the discrepancy in the reported values of ionisation potentials and the bandgaps of the Bi- and Sb-chalcogenides. Dominant sulphur vacancy defect was identified in Bi- and Sb-chalcogenides whereas in ternary (SbxBi(100-x))2S3 system, merely 10 at.% of Bi transforms the midgap sulphur defects to shallow ones. This provides novel strategy for healing the midgap defects in Sb2S3, which is crucial for boosting the PV performance and tuning the electrical conductivity in Sb2S3.
DOI: 10.5281/zenodo.15260974
title: Sub-Saharan Africa HydroClimatic Data

description: This database was developed in a research study of "A data synthesis for assessing the climate-water interplay in Sub-Saharan Africa”. The data from all comparative datasets are synthesized into a complete new open-access database, named the Sub-Saharan Africa HydroClimatic Database (SSA-HCD), and presented as data and information in five separate folders.

Folder 1 contains the study catchment polygon shapefiles, used to extract the associated data from the global datasets and further aggregate them over each catchment in Sub-Saharan Africa to produce the catchment-average data time series. The catchment polygons were obtained from the GSIM database and are renamed according to the catchment names used in the SSA-HCD database. A csv file named ‘Catchment_Info.csv’ in Folder 1 lists the SSA-HCD catchment names, their corresponding names in the GSIM database, the country in which the catchment outlet (hydrometric station) is located, and the catchment area in square kilometers according as reported in the GSIM database.

Folders 2-5 provide catchment-aggregated monthly and annual time series for the studied variables (P, ET, R, DS, SM, and T) for the 127 non-overlapping study catchments spread in the Sub-Saharan Africa and the four comparative “Obs”, “Mixed”, “GLDAS”, and “ERA5” datasets included in SSA-HCD. The catchment-wise data time series are exported as “.csv” files, separately for each variable and catchment. Each Dataset folder contains (i) Annual folder, (ii) Monthly folder, (iii) “DatasetX_AnnualDataSummary.csv” file, and (iv) “Readme_Data Columns and Variable Units.txt” file. Before using the variable time series in the Annual or Monthly folders, SSA-HCD database users are recommended to read the “Readme_Data Columns and Variable Units.txt” file. This file provides complete information that clarifies the variables included in the Annual and Monthly folders, and the associated data source and origin, variable units, and column names of the time series in the CSV files. For the SM variable, the rootzone depth for the soil moisture profile considered in the associated reanalysis product of the “Mixed” (GLEAM), “ERA5”, and “GLDAS” datasets is also reported for possible further applications.  The “DatasetX_AnnualDataSummary.csv” file included in Folders 2-5 also provides brief summary information for all data considered for the 127 non-overlapping catchments in all comparative datasets included in SSA-HCD. This file also provides catchment-wise long-term average annual values of P, R, ET, DS, DSM, and T for all SSA-HCD catchments. Further this file provides explicit calculated data for the implied CWLC, and also for PETLang, PET/P, ET/P, and R/P as “Quality check data”. The catchment names, the country where the catchment outlet is located, and the catchment area in square kilometers are also provided in this data summary.
DOI: 10.5281/zenodo.15260973
title: Sub-Saharan Africa HydroClimatic Data

description: This database was developed in a research study of "A data synthesis for assessing the climate-water interplay in Sub-Saharan Africa”. The data from all comparative datasets are synthesized into a complete new open-access database, named the Sub-Saharan Africa HydroClimatic Database (SSA-HCD), and presented as data and information in five separate folders.

Folder 1 contains the study catchment polygon shapefiles, used to extract the associated data from the global datasets and further aggregate them over each catchment in Sub-Saharan Africa to produce the catchment-average data time series. The catchment polygons were obtained from the GSIM database and are renamed according to the catchment names used in the SSA-HCD database. A csv file named ‘Catchment_Info.csv’ in Folder 1 lists the SSA-HCD catchment names, their corresponding names in the GSIM database, the country in which the catchment outlet (hydrometric station) is located, and the catchment area in square kilometers according as reported in the GSIM database.

Folders 2-5 provide catchment-aggregated monthly and annual time series for the studied variables (P, ET, R, DS, SM, and T) for the 127 non-overlapping study catchments spread in the Sub-Saharan Africa and the four comparative “Obs”, “Mixed”, “GLDAS”, and “ERA5” datasets included in SSA-HCD. The catchment-wise data time series are exported as “.csv” files, separately for each variable and catchment. Each Dataset folder contains (i) Annual folder, (ii) Monthly folder, (iii) “DatasetX_AnnualDataSummary.csv” file, and (iv) “Readme_Data Columns and Variable Units.txt” file. Before using the variable time series in the Annual or Monthly folders, SSA-HCD database users are recommended to read the “Readme_Data Columns and Variable Units.txt” file. This file provides complete information that clarifies the variables included in the Annual and Monthly folders, and the associated data source and origin, variable units, and column names of the time series in the CSV files. For the SM variable, the rootzone depth for the soil moisture profile considered in the associated reanalysis product of the “Mixed” (GLEAM), “ERA5”, and “GLDAS” datasets is also reported for possible further applications.  The “DatasetX_AnnualDataSummary.csv” file included in Folders 2-5 also provides brief summary information for all data considered for the 127 non-overlapping catchments in all comparative datasets included in SSA-HCD. This file also provides catchment-wise long-term average annual values of P, R, ET, DS, DSM, and T for all SSA-HCD catchments. Further this file provides explicit calculated data for the implied CWLC, and also for PETLang, PET/P, ET/P, and R/P as “Quality check data”. The catchment names, the country where the catchment outlet is located, and the catchment area in square kilometers are also provided in this data summary.
DOI: 10.15468/dl.waf5qp
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Schoenoplectus muricinux (C.B.Clarke) J.Raynal",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((35.6306 -23.844,35.6007 -23.8125,35.6007 -24.0157,35.6306 -23.844))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042932-250525065834625/datasets/export for details.
DOI: 10.15468/dl.bkxr8e
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Coelastrum Naegeli",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((20.2855 -34.7533,20.509 -34.5676,20.509 -32.9007,17.7723 -32.9007,17.8156 -33.0786,18.3471 -33.7176,18.3748 -33.8287,18.2181 -34.0492,18.3197 -34.3408,18.4452 -34.429,18.5435 -34.4213,18.5872 -34.3667,18.5363 -34.167,18.7345 -34.1508,18.7216 -34.3637,18.7808 -34.4521,19.0289 -34.4206,19.0831 -34.4835,19.2655 -34.5017,19.2032 -34.6157,19.2394 -34.6926,19.375 -34.6963,19.6091 -34.8524,19.8251 -34.8396,19.9798 -34.9064,20.1081 -34.8731,20.1517 -34.7847,20.2855 -34.7533))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042933-250525065834625/datasets/export for details.
DOI: 10.34740/kaggle/dsv/12154262
title: Public Opinion on Climate Change (Updated Daily)
DOI: 10.25403/upresearchdata.29305067
title: Development of the vocational food and nutrition classroom-based assessment questionnaire that teachers will use in their classrooms to measure and improve their assessment

description: The dataset presented here was collected as part of the study "Developing and validating a vocational classroom-based assessment questionnaire for the vocational food and nutrition teachers." The purpose of the data set was to explore and develop as well as to validate the questionnaire. The study employed an exploratory sequential mixed methods design. The qualitative phase was exploratory, and the data collected in this phase was used for developing the questionnaire items. The quantitative phase was used for validation of the developed instrument. Qualitative data was collected using individual in-depth interviews with five food and nutrition teachers, cognitive interviews with seven teachers, and focus group interview (FGI) evaluations with six teachers in Botswana secondary schools who were purposively selected. The questionnaire items were developed and, with help from panel members, revised and pre-tested. The first pilot study was conducted on 30 teachers, and the results were analysed and adapted, and the final survey (second pilot) was administered to 101 teachers, and the results were evaluated using the Rasch Measurement Model (RMM).
DOI: 10.25403/upresearchdata.29305067.v1
title: Development of the vocational food and nutrition classroom-based assessment questionnaire that teachers will use in their classrooms to measure and improve their assessment

description: The dataset presented here was collected as part of the study "Developing and validating a vocational classroom-based assessment questionnaire for the vocational food and nutrition teachers." The purpose of the data set was to explore and develop as well as to validate the questionnaire. The study employed an exploratory sequential mixed methods design. The qualitative phase was exploratory, and the data collected in this phase was used for developing the questionnaire items. The quantitative phase was used for validation of the developed instrument. Qualitative data was collected using individual in-depth interviews with five food and nutrition teachers, cognitive interviews with seven teachers, and focus group interview (FGI) evaluations with six teachers in Botswana secondary schools who were purposively selected. The questionnaire items were developed and, with help from panel members, revised and pre-tested. The first pilot study was conducted on 30 teachers, and the results were analysed and adapted, and the final survey (second pilot) was administered to 101 teachers, and the results were evaluated using the Rasch Measurement Model (RMM).
DOI: 10.15468/dl.zzahg7
title: Occurrence Download

description: A dataset containing 10747 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "TaxonKey is one of (Anguilla anguillai (Linnaeus, 1758), Anguilla anguilla (Linnaeus, 1758))",
 "Year 2022-2025"
 ]
}

 The dataset includes 10747 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042934-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.14459/2025mp1767651
title: Ecomapper Dataset

description: The EcoMapper dataset comprises over 2.9 million satellite images accompanied by climate metadata. It includes both RGB imagery and selected multispectral channels (B6 – Red Edge 2, B8 – NIR, B11 – SWIR1) sourced from the Copernicus Sentinel satellite missions. The dataset spans diverse land cover types and multiple temporal points. The training set features 98,930 unique locations, each with 24 months of data, while the test set includes 5,494 locations covering 96 months. Each timestamp is paired with weather-related metadata, including temperature, solar radiation, and precipitation. The imagery is derived from the Sentinel-2 mission, supported by the European Space Agency’s (ESA) Network of Resources (NoR) program.
DOI: 10.15468/dl.5qryf4
title: Occurrence Download

description: A dataset containing 149491 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Ruellia Plum. ex L."
 ]
}

 The dataset includes 149491 records from 927 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042908-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fy4e8z
title: Occurrence Download

description: A dataset containing 11232 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Vireolanius leucotis (Swainson, 1838))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 11232 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0296116-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gd8gkh
title: Occurrence Download

description: A dataset containing 475 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Scrophularia duplicato-serrata Makino",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 475 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0195219-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6nea5e
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Catapionus fossulatus Motschulsky, 1860",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 21 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0202891-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e5gvge
title: Occurrence Download

description: A dataset containing 1117 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Liriope minor (Maxim.) Makino"
 ]
}

 The dataset includes 1117 records from 85 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011691-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t5au4n
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Breynia nivosa (W.Bull) Small",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0195198-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.