cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.9uvd92
title: Occurrence Download

description: A dataset containing 95 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lysimachia arvensis",
 "Country is Peru",
 "HasCoordinate is true"
 ]
}

 The dataset includes 95 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074112-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/p9r-hf9-xyw
title: Asarum europaeum L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.26188/31387624
title: Derived Manufacturing Performance Dataset for Assembly-Line Production of Timber-Framed Composite Wall Panels

description: This dataset contains derived and normalised outputs from a computational model evaluating the influence of concept stage design decisions on the assembly-line manufacture of timber-framed composite wall panels (TFCWPs).
DOI: 10.26188/31387624.v1
title: Derived Manufacturing Performance Dataset for Assembly-Line Production of Timber-Framed Composite Wall Panels

description: This dataset contains derived and normalised outputs from a computational model evaluating the influence of concept stage design decisions on the assembly-line manufacture of timber-framed composite wall panels (TFCWPs).
DOI: 10.26188/31387624.v2
title: Derived Manufacturing Performance Dataset for Assembly-Line Production of Timber-Framed Composite Wall Panels

description: This dataset contains derived and normalised outputs from a computational model evaluating the influence of concept stage design decisions on the assembly-line manufacture of timber-framed composite wall panels (TFCWPs).
DOI: 10.15468/dl.qyrgjj
title: Occurrence Download

description: A dataset containing 2010 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((5.069737513847723 49.999596318569054, 5.0685258848552985 50.00837402334261, 5.064679481936266 50.01683063015672, 5.058344894626387 50.024640903310136, 5.049764725529421 50.0315043136171, 5.039268394557832 50.03715664613765, 5.0272595274733725 50.04138022358017, 5.014200405877686 50.044012341856124, 5.0005940820419355 50.04495158286981, 4.98696486416905 50.0441617527444, 4.973837949983153 50.041673287899485, 4.9617190246462215 50.037582072622705, 4.951074640602742 50.03204571553147, 4.942314161952107 50.02527743395013, 4.9357739864680195 50.01753779021757, 4.93170465855907 50.00912460816817, 4.930261362046523 50.000361468005785, 4.931498139464881 49.99158523082654, 4.935366032010944 49.983133078350875, 4.941715178552013 49.975329568148666, 4.950300759969989 49.96847419980881, 4.960792532366878 49.96282996395526, 4.972787563973609 49.95861330523507, 4.985825679510653 49.95598587442274, 4.999407024692208 49.95504837598894, 5.01301109409775 49.95583673851793, 5.0261165186383066 49.95832074901889, 5.038220884759571 49.96240520133879, 5.048859856522302 49.9679335164604, 5.057624893789057 49.974693701376836, 5.064178904769174 49.98242642639261, 5.068269238721244 49.990834920984064, 5.069737513847723 49.999596318569054))",
 "KingdomKey is one of (Animalia, Fungi, Plantae)",
 "Year is one of (2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024, 2025, 2026)"
 ]
}

 The dataset includes 2010 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004321-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g5b7x7
title: Occurrence Download

description: A dataset containing 611 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Passiflora edulis"
 ]
}

 The dataset includes 611 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004322-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bufeca
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alpaida acuta",
 "Country is Colombia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 39 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004323-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8mzwcr
title: Occurrence Download

description: A dataset containing 327 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alpaida variabilis",
 "Country is Colombia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 327 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004324-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n7wy3k
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "StateProvince is Tamaulipas",
 "TaxonKey is Macroptilium"
 ]
}

 The dataset includes 46 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004325-260221153910048/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.30937085
title: Experiment 2 data for: An introduced parasitoid facilitates host range expansion of a resident parasitoid

description: <b>Data for Experiment 2 of: </b><b>An introduced parasitoid facilitates host range expansion of a resident parasitoid</b>replicate: the replicate numberblock: unique identifier for the temporal blocktreatment: the experimental treatment. SWD-C -- no parasitoids; LC-C -- Leptopilina japonica only; AR-C -- Asobara cf. rufescens only; B -- both parasitoid species at the same time; LJ-D -- Asobara cf. rufescens first, then Leptopilina japonica; AR-D -- Leptopilina japonica first, then Asobara cf. rufescensn_flies_emerging: the number of adult Drosophila suzukii emergingn_lj_emerging: the number of adult Leptopilina japonica emergingn_ar_emerging: the number of adult Asobara cf. rufescens emergingflies_with_capsules: the number of adult Drosophila suzukii bearing black capsules<br><br><br><br>
DOI: 10.6084/m9.figshare.30937085.v1
title: Experiment 2 data for: An introduced parasitoid facilitates host range expansion of a resident parasitoid

description: <b>Data for Experiment 2 of: </b><b>An introduced parasitoid facilitates host range expansion of a resident parasitoid</b>replicate: the replicate numberblock: unique identifier for the temporal blocktreatment: the experimental treatment. SWD-C -- no parasitoids; LC-C -- Leptopilina japonica only; AR-C -- Asobara cf. rufescens only; B -- both parasitoid species at the same time; LJ-D -- Asobara cf. rufescens first, then Leptopilina japonica; AR-D -- Leptopilina japonica first, then Asobara cf. rufescensn_flies_emerging: the number of adult Drosophila suzukii emergingn_lj_emerging: the number of adult Leptopilina japonica emergingn_ar_emerging: the number of adult Asobara cf. rufescens emergingflies_with_capsules: the number of adult Drosophila suzukii bearing black capsules<br><br><br><br>
DOI: 10.6084/m9.figshare.30937079
title: Experiment 1 data for:

description: <b>Experiment 1 data for: An introduced parasitoid facilitates host range expansion of a resident parasitoid</b>vial_id: unique identifier for the vial (experimental unit)block: unique identifier for the temporal blocktreatment: the experimental treatment. ar_alone: Asobara cf. rufescens alone. lj_alone: Leptopilina japonica alone. both: both species together.n_ar_emerged: the number of Asobara cf. rufescens emergedn_lj_emerged: the number of Leptopilina japonica emerged<br>
DOI: 10.6084/m9.figshare.30937079.v1
title: Experiment 1 data for:

description: <b>Experiment 1 data for: An introduced parasitoid facilitates host range expansion of a resident parasitoid</b>vial_id: unique identifier for the vial (experimental unit)block: unique identifier for the temporal blocktreatment: the experimental treatment. ar_alone: Asobara cf. rufescens alone. lj_alone: Leptopilina japonica alone. both: both species together.n_ar_emerged: the number of Asobara cf. rufescens emergedn_lj_emerged: the number of Leptopilina japonica emerged<br>
DOI: 10.17632/xxrcfxwd35
title: iScience splitTurboID Python scripts

description: Custom-made Python scripts designed to analyze the overlap of splitTurboID datasets (label-free or SILAC Arg0Lys0 vs Arg10/Lys8). Scripts are provided here as both .py and .txt files.

Python Scripts_Readme file 
Sifter_SILAC_v1.0
Sifter_LabelFree_v1.0
Overlapper_SILAC_v1.0
Overlapper_LabelFree_v1.0
Plotter_SILAC_v1.0
Plotter_LabelFree_v1.0
DOI: 10.17632/xxrcfxwd35.1
title: iScience splitTurboID Python scripts

description: Custom-made Python scripts designed to analyze the overlap of splitTurboID datasets (label-free or SILAC Arg0Lys0 vs Arg10/Lys8). Scripts are provided here as both .py and .txt files.

Python Scripts_Readme file 
Sifter_SILAC_v1.0
Sifter_LabelFree_v1.0
Overlapper_SILAC_v1.0
Overlapper_LabelFree_v1.0
Plotter_SILAC_v1.0
Plotter_LabelFree_v1.0
DOI: 10.17632/rtkfsxz736
title: Supplementary material to "Disaster Justice: A Scoping Review of Scientific Literature"

description: The attached document contains the results of a systematic literature review and the systematisation of data derived from the research process that sought to answer the following question: The present study aims to examine the conceptualisation and study of the concept of disaster justice in recent scientific literature.
DOI: 10.17632/rtkfsxz736.1
title: Supplementary material to "Disaster Justice: A Scoping Review of Scientific Literature"

description: The attached document contains the results of a systematic literature review and the systematisation of data derived from the research process that sought to answer the following question: The present study aims to examine the conceptualisation and study of the concept of disaster justice in recent scientific literature.
DOI: 10.17632/f5b5ckdjn5
title: AA IMID Supplementary Data

description: Definition of study participants and outcomes (Supplementary Table 1) and Demographic characteristics of study participants after propensity score matching (Supplementary Table 2)
DOI: 10.17632/f5b5ckdjn5.1
title: AA IMID Supplementary Data

description: Definition of study participants and outcomes (Supplementary Table 1) and Demographic characteristics of study participants after propensity score matching (Supplementary Table 2)
DOI: 10.15468/dl.6wbkdq
title: Occurrence Download

description: A dataset containing 79 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alpaida veniliae",
 "Country is Colombia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 79 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004326-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/s2tbwfr8yd
title: DPPH assay of Bentong Ginger and Kelulut Honey

description: This dataset details the results of a DPPH assay, a biochemical test used to determine the antioxidant potential of Bentong ginger , Kelulut honey , and their combinations. These results, benchmarked against a Gallic acid standard , are supported by microplate images showing the characteristic color change from purple to yellow, signifying the neutralization of DPPH free radicals.
DOI: 10.17632/s2tbwfr8yd.1
title: DPPH assay of Bentong Ginger and Kelulut Honey

description: This dataset details the results of a DPPH assay, a biochemical test used to determine the antioxidant potential of Bentong ginger , Kelulut honey , and their combinations. These results, benchmarked against a Gallic acid standard , are supported by microplate images showing the characteristic color change from purple to yellow, signifying the neutralization of DPPH free radicals.
DOI: 10.17632/v4vb656j2r
title: ABTS assay of Bentong Ginger and Kelulut Honey

description: This document presents the results of an ABTS assay conducted to evaluate the antioxidant capacity of Bentong ginger, Kelulut honey, and their combinations, using Gallic acid as a reference standard. The data, supported by visual microplate images, measures the percentage of inhibition across various concentrations to determine how effectively each sample scavenges free radicals.
DOI: 10.17632/v4vb656j2r.1
title: ABTS assay of Bentong Ginger and Kelulut Honey

description: This document presents the results of an ABTS assay conducted to evaluate the antioxidant capacity of Bentong ginger, Kelulut honey, and their combinations, using Gallic acid as a reference standard. The data, supported by visual microplate images, measures the percentage of inhibition across various concentrations to determine how effectively each sample scavenges free radicals.
DOI: 10.17632/3mtwgk2g8v
title: Ética y límites en el uso de la inteligencia artificial en la educación: una mirada crítica. Capitulo 4

description: La inteligencia artificial (IA) se ha convertido en un componente esencial de la educación 
contemporánea, transformando la enseñanza, el aprendizaje y la gestión institucional. Sin 
embargo, esta evolución tecnológica también plantea complejos retos éticos, pedagógicos y 
normativos. El capítulo analiza marcos internacionales como la Recomendación de la UNESCO 
sobre la ética de la inteligencia artificial (2020), el Consenso de Pekín sobre la IA y la educación y 
los Principios de la OCDE sobre la IA, que en conjunto abogan por la transparencia, la equidad, la 
rendición de cuentas, la inclusión y la supervisión humana en los contextos educativos. A
DOI: 10.17632/3mtwgk2g8v.1
title: Ética y límites en el uso de la inteligencia artificial en la educación: una mirada crítica. Capitulo 4

description: La inteligencia artificial (IA) se ha convertido en un componente esencial de la educación 
contemporánea, transformando la enseñanza, el aprendizaje y la gestión institucional. Sin 
embargo, esta evolución tecnológica también plantea complejos retos éticos, pedagógicos y 
normativos. El capítulo analiza marcos internacionales como la Recomendación de la UNESCO 
sobre la ética de la inteligencia artificial (2020), el Consenso de Pekín sobre la IA y la educación y 
los Principios de la OCDE sobre la IA, que en conjunto abogan por la transparencia, la equidad, la 
rendición de cuentas, la inclusión y la supervisión humana en los contextos educativos. A
DOI: 10.17632/42gzbgk5hb
title: A novel approach for modifying aluminum powder EN AW-7075 with nanoparticles for additive manufacturing

description: 1. General scope
This dataset forms the foundational experimental dataset investigating microstructural characteristics of TiC‑reinforced AA7075 aluminium matrix composites. The current release includes core characterization data supporting the first publication. Subsequent phases—containing extended analyses and additional conditions—are in progress and will be released in later companion datasets. The data establish a comprehensive baseline enabling future studies to build from this reference.
2. Dataset components
Chemical composition – OES: Quantitative chemical analysis of tested alloys measured by Optical Emission Spectroscopy (OES). Lists elemental concentrations (wt %) of AA7075 and TiC‑modified specimens, including mean values and standard deviations.
Relative density – LOM: Reports results of hot‑crack density (HC/cm²) and relative density (%) for modified TiC contents. 
Grain characteristics – SEM/EBSD: Grain diameter (µm) and area (µm²) obtained through SEM and EBSD analysis, evidencing grain refinement for surface and volume modification. 
Particle size distribution – PSD: Particle size distributions of powder modifications. 
Microscopy image data – Figures 2, 3, 5, 6 and 7: Contains the original unprocessed microscopy images linked to the publication. 
 Figure 2: SEM images showing powder morphology of base 7075, TiC nanoparticles, and TiC‑modified powders
 Figure 3: SEM/EDS element distribution mappings providing qualitative information. 
 Figure 5: Schematic and photographic view of the feedstock and PBF‑LB/M setup. 
 Figure 6: Light‑optical micrographs (LOM) of defect morphology in printed parts. 
 Figure 7: SEM/EBSD grain‑structure maps visualizing grain arrangement and orientation.
 All images are provided as full‑frame TIFFs to ensure data authenticity and reproducibility.
3. Project context
The uploaded data define baseline results essential for later studies. Complementary datasets (e.g., calorimetry or mechanical tests) remain unpublished and will appear in future manuscripts. The shared data ensure reproducibility and transparency while maintaining the sequential release plan for further findings.
4. Data structure and repository information
 Data types: Processed tables (CSV) and microscopy images (TIFF) 
 Measurement repetitions: Multiple replicates per condition 
 Analytical methods: OES, PSD, SEM/EDS/EBSD imaging, LOM‑based density 
 Future extensions: Additional mechanical, thermal, and microstructural data
5. Equipment and Institutional Acknowledgment
All analyses were performed using facilities of Paderborn University, specifically the Chair of Materials Science (Prof. Mirko Schaper) and the Direct Manufacturing Research Center (DMRC), whose technical infrastructure supported microscopy, diffraction, and particle analysis.
DOI: 10.17632/42gzbgk5hb.3
title: A novel approach for modifying aluminum powder EN AW-7075 with nanoparticles for additive manufacturing

description: 1. General scope
This dataset forms the foundational experimental dataset investigating microstructural characteristics of TiC‑reinforced AA7075 aluminium matrix composites. The current release includes core characterization data supporting the first publication. Subsequent phases—containing extended analyses and additional conditions—are in progress and will be released in later companion datasets. The data establish a comprehensive baseline enabling future studies to build from this reference.
2. Dataset components
Chemical composition – OES: Quantitative chemical analysis of tested alloys measured by Optical Emission Spectroscopy (OES). Lists elemental concentrations (wt %) of AA7075 and TiC‑modified specimens, including mean values and standard deviations.
Relative density – LOM: Reports results of hot‑crack density (HC/cm²) and relative density (%) for modified TiC contents. 
Grain characteristics – SEM/EBSD: Grain diameter (µm) and area (µm²) obtained through SEM and EBSD analysis, evidencing grain refinement for surface and volume modification. 
Particle size distribution – PSD: Particle size distributions of powder modifications. 
Microscopy image data – Figures 2, 3, 5, 6 and 7: Contains the original unprocessed microscopy images linked to the publication. 
 Figure 2: SEM images showing powder morphology of base 7075, TiC nanoparticles, and TiC‑modified powders
 Figure 3: SEM/EDS element distribution mappings providing qualitative information. 
 Figure 5: Schematic and photographic view of the feedstock and PBF‑LB/M setup. 
 Figure 6: Light‑optical micrographs (LOM) of defect morphology in printed parts. 
 Figure 7: SEM/EBSD grain‑structure maps visualizing grain arrangement and orientation.
 All images are provided as full‑frame TIFFs to ensure data authenticity and reproducibility.
3. Project context
The uploaded data define baseline results essential for later studies. Complementary datasets (e.g., calorimetry or mechanical tests) remain unpublished and will appear in future manuscripts. The shared data ensure reproducibility and transparency while maintaining the sequential release plan for further findings.
4. Data structure and repository information
 Data types: Processed tables (CSV) and microscopy images (TIFF) 
 Measurement repetitions: Multiple replicates per condition 
 Analytical methods: OES, PSD, SEM/EDS/EBSD imaging, LOM‑based density 
 Future extensions: Additional mechanical, thermal, and microstructural data
5. Equipment and Institutional Acknowledgment
All analyses were performed using facilities of Paderborn University, specifically the Chair of Materials Science (Prof. Mirko Schaper) and the Direct Manufacturing Research Center (DMRC), whose technical infrastructure supported microscopy, diffraction, and particle analysis.
DOI: 10.17632/d2btxvmw5g
title: Effects of Macroeconomic Indicators on Stock Market Performance in Emerging African Economies: An Autoregressive Distributed Lag Model with Pooled Mean Group Estimation Approach

description: This dataset supports the manuscript "Effects of Macroeconomic Indicators on Stock Market Performance in Emerging African Economies: An Autoregressive Distributed Lag Model with Pooled Mean Group Estimation Approach". It is sourced from the World Bank's World Development Indicators (WDI), International Financial Statistics (IFS) of the International Monetary Fund (IMF), Countries’ Central Banks and National Statistical Agencies, and United Nations Conference on Trade and Development (UNCTAD) and African Securities Exchanges. The dataset is a quarterly data on macroeconomic indicators and stock market performance metrics that accurately capture both short-term changes and long-term trends. This quarterly interval offers an optimal balance between data availability and tracking business cycle dynamics, outperforming annual data that might miss short-term shifts and monthly data that could add unnecessary noise. The chosen period spans from 2000 to 2024, providing enough observations for a thorough econometric analysis. This timeframe has been purposefully selected to encompass major economic cycles, financial crises, policy changes, and global shocks, such as the 2008 global financial crisis, the COVID-19 pandemic, and structural economic reforms in emerging African economies. The dataset comprises panel data from six emerging African economies: Egypt, Ghana, Kenya, Morocco, Nigeria, and South Africa.
DOI: 10.17632/d2btxvmw5g.1
title: Effects of Macroeconomic Indicators on Stock Market Performance in Emerging African Economies: An Autoregressive Distributed Lag Model with Pooled Mean Group Estimation Approach

description: This dataset supports the manuscript "Effects of Macroeconomic Indicators on Stock Market Performance in Emerging African Economies: An Autoregressive Distributed Lag Model with Pooled Mean Group Estimation Approach". It is sourced from the World Bank's World Development Indicators (WDI), International Financial Statistics (IFS) of the International Monetary Fund (IMF), Countries’ Central Banks and National Statistical Agencies, and United Nations Conference on Trade and Development (UNCTAD) and African Securities Exchanges. The dataset is a quarterly data on macroeconomic indicators and stock market performance metrics that accurately capture both short-term changes and long-term trends. This quarterly interval offers an optimal balance between data availability and tracking business cycle dynamics, outperforming annual data that might miss short-term shifts and monthly data that could add unnecessary noise. The chosen period spans from 2000 to 2024, providing enough observations for a thorough econometric analysis. This timeframe has been purposefully selected to encompass major economic cycles, financial crises, policy changes, and global shocks, such as the 2008 global financial crisis, the COVID-19 pandemic, and structural economic reforms in emerging African economies. The dataset comprises panel data from six emerging African economies: Egypt, Ghana, Kenya, Morocco, Nigeria, and South Africa.